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["TITLE",null,null,null,"REDUCING INEQUALITY THROUGH PROGRESSIVE SPENDING",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"REDUCING INEQUALITY THROUGH PROGRESSIVE TAX POLICIES",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"REDUCING INEQUALITY THROUGH RESPECT FOR LABOUR RIGHTS AND FAIR WAGES",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"COMMITMENT TO REDUCING INEQUALITY"]
["WHAT ARE WE MEASURING?",null,null,null,"INDICATOR PS1: Government spending on education, health and social protection as % of total spending",null,null,null,null,null,null,null,null,null,null,null,"INDICATOR PS2:  Public services implementation in practice (measuring equity of coverage)",null,null,null,null,null,null,null,null,null,null,null,null,"INDICATOR PS3: Impact of spending on income Gini",null,null,"PROGRESSIVITY OF PUBLIC SERVICES",null,null,"INDICATOR T1: Policy",null,null,null,null,null,null,null,null,null,null,null,null,"INDICATOR T2: Tax Policies implementation in practice",null,null,"INDICATOR T3: Impact of tax on income Gini",null,null,"PROGRESSIVITY OF TAX POLICY",null,null,"INDICATOR L1: Policy",null,null,null,null,null,null,null,null,null,null,null,"INDICATOR L2: Coverage of Labour Rights",null,null,null,null,null,"INDICATOR L3: Impact",null,null,"PROGRESSIVITY OF LABOUR LEGISLATION",null,null,"Composite index"]
["WHAT IS THE MEASURE?",null,null,null,"PS1A: Education spending as % total spending",null,null,"PS1B:  Health spending as % total spending",null,null,"PS1c:  Social Protection spending as % total spending",null,null,"INDICATOR PS1: Average Score of Three Spending Sectors",null,null,"PS2A:  Education coverage (% completion by poorest quintile of upper secondary)",null,"PS2B:  Health coverage (UHC and OOP datasets)",null,null,null,null,"PS2C: Social Protection coverage ",null,null,"INDICATOR PS2: Average Score of Three Coverage Scores for Sectors",null,null,"INDICATOR PS3: Combined Impact of Three Sectors spending on the Gini (i.e.impact in reducing inequality)",null,null,"Average of Public Services Pillar",null,null,"VAT rate, adjusted for basic foodstuffs exemptions and high minimum thresholds",null,"Progressivity of Personal Income Tax (PIT) based on rates and bands of tax",null,"Corporate income tax (CIT) rate",null,"T1A Average of VAT, PIT & CIT",null,"Harmful Tax Practices (HTP), Existence of, absence of anti tax avoidance measures and evidence of profit shifting",null,"INDICATOR T1: Policy\naverage of T1A (VAT, PIT & CIT) and T1B (HTP)",null,null,"Tax productivity comparing tax collected with tax base",null,null,"The share of total tax raised from each of income, corporate and VAT taxes multiplied by the actual or predicted impact of each on the Gini coefficient",null,null,"Average of policy, implementation and impact scores",null,null,"L1A: Labour Rights\nPerformance in law and in practice in respecting labour and union rights according to ILO standards",null,null,"L1B: Women's Rights\nComposite measure of legal provisions for mandate for equal pay, non discrimination, rape, sexual harassment and length of parental leave",null,null,"L1C: Minimum Wage\nMinimum wage rate in law, compared with the average income (GDP per capita) in the country",null,null,"INDICATOR L1: Average across three indicators",null,null,"L2A Unemployment\npercentage of labour force unemployed","L2B: Vulnerable Employment\nvulnerable employment as percentage of labour force",null,"INDICATOR L2: Sum across two indicators",null,null,"INDICATOR L3: Wages Gini\nthe Gini coefficient of wages based on wage data by decile",null,null,"Average of three components",null,null,"Average of: a) the square root of the product of the tax and public spending scores and b) the labour pillar score"]
["DATA SOURCE",null,null,null,"See Source Sheet PS1 . For LICs and many LIMCs the data is based on DFI data, sourced from national budget documents (Government Spending Watch database). These are largely  planned/ budgeted spending (from 2019 financial year).  For HICs and many UMICs this is largely OECD data (2018). Across all countries we have supplemented this with regional data and/or UN data sources (i.e. WHO or UiS, 2018) when this is deemed most accurate.  A small number of countries have data from older than 2018. ",null,null,null,null,null,"See Source Sheet PS1 This is based on either data from DFI/GSW or from regional databases (see explanation in previous column). Where this is not available, we have used the ILO 2016/17 Word Social Protection report and its accompanying database.",null,null,null,null,null,"For the vast majority of countries this is based on indicator for the poorest quintile part of SDG4 monitoring (“upper secondary completion, by poorest quintile”, UiS data). For some countries, where these data are not available, this has been supplemented by from national household surveys. Where no data is available by poorest quintile, this has been supplemented by completion of upper secondary data (all): these data have then been ranked and normalised in each dataset before combining to reflect respective rankings. To reflect this, this column only has the normalised score - data available on supplementary sheet. Data is mainly from 2017, but some data are older due to a lack of UiS updates. See source sheet for more info",null,"There are two sub indicators here (see forumla in sheet).  \nPS2b1. Universal Health Coverage Index (UHC).  SDG 3.8.2 indicator\n2PSb2.  Catastrophic Household Spending (COOP)  SDG 3.8.1 indicator. In a small handful of countries COOP data was unavailable from WHO database, which DFI has supplemented with a proxy (using OOP US$ per capita and GDP $ per capita data, and a regression for calcuating the proxy - see source sheet for more info). ",null,null,null,null,"PS2c. Pension coverage to measure SP coverage  ILO 2016/17 Word Social Protection report and its accompanying database. In a very small handful of countries DFI has supplemented this with national data sources (see datasheet PS2c)",null,null,null,null,null,"Actual spending impact on Gini for 60 countries + predicted incidence from coefficients in Martinez-Vazquez et al for remaining countries",null,null,null,null,null,"DFI has conducted a major data collection exercise, drawing on national tax code documents, budget speeches, and accounting company tax guides (which have been found to be more recent than the database of the International Bureau on Fiscal Documentation), all data 2019",null,null,null,null,null,null,null,"HTP as assessed by Oxfam and OECD; anti tax avoidance from (TBA); profit shifting based on IMF, World Bank, EuroStat and various UN databases.  All data for 2016 as of June 2018",null,null,null,null,"Tax productivity data based on tax collection from national sources, IMF and ICTD",null,null,"DFI data and IMF data on share of each tax for 2019. Incidence data from CEQ for 46 countries and from Martinez-Vazquez et al global panel study for others",null,null,null,null,null,"\"Labour Rights Indicators” designed by the Global Labour University and the Center for Global Workers, as of November 2019",null,null,"Wage Indicator; national sources; For rape and sexual harassment at work: Social Institutions and Gender Index, as of 2014 updated from US State Department profiles and national sources",null,null,"Wage rate as of 2019. DFI compiled data using primary sources (eg government gazette announcements, www. Wage-indicator.org etc)",null,null,null,null,null,"ILOSTAT 2019 Modelled Estimates","ILOSTAT 2019 Modelled Estimates",null,null,null,null,"calculated from ILO modelled estimates of wages by decile in ILOSTAT"]
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["Country","Income Group","Region","OECD","PS-1A\n%","Std Score","PS-1A\nEducation Rank","PS-1B\n%","Std Score","PS-1B\nHealth Rank","PS-1C\n%","Std Score","PS-1C\nSP Rank","Spending % Average Score","Std Score","PS1 Policy Rank","PS-2A\nStd Score","PS-2A\nEducation Rank","PS-2B\nUHC\n%","PS-2B\nOOP\n%","Sq Root of UHC * OOP","Std Score","PS-2B\nHealth Rank","PS-2C\n%","Std Score","PS-2C\nSP Rank","Coverage Average Score","Std Score","PS2 Coverage Rank","PS3 Public Services Incidence","Std Score","PS3 Incidence Rank","Average PS Score","Standardised Public Services Score","Public Services Rank","T1A\nVAT PROG","VAT Std","T1A\nPIT PROG","PIT Std","T1A\nCIT PROG","CIT Std","T1A Average","T1A \nStd","T1B\nHTP Score","HTP Std Score","T1 Average","T1 Std","T1 Rank","T2 Implementation","Standardised Score","T2 Rank","T3 Impact","Standardised Score","T3 Rank","Average tax score","Standardised Tax Score","TAX RANK","L1A Score","L1A Std","L1A Rank","L1B Score","L1B Std","L1B Rank","L1C Min Wage % gdp","L1C Std","L1C Rank","L1 Average","L1 Std","L1 Rank","L2A Unemployment","L2B Vulnerable Employment","Vulnerable Employment as % of labour force","L2 Sum","L2 Std","L2 Rank","L3 Wage Gini","L3 Std","L3 Rank","Average labour score","Std Labour Score","LABOUR RANK","OVERALL CRI SCORE","OVERALL SCORE Std","CRI RANK"]
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[]
["158 Countries"]
[]
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["MIN",null,null,null,{"$f":"MIN(E7:E164)","v":6.54},null,null,{"$f":"MIN(H7:H164)","v":2.2000000000000002},null,null,{"$f":"MIN(K7:K164)","v":0.22},null,null,{"$f":"MIN(N7:N164)","v":4.6903688866633271E-2},null,null,{"$f":"MIN(Q7:Q164)","v":0},null,null,null,{"$f":"MIN(U7:U164)","v":50.21619090216798},null,null,{"$f":"MIN(X7:X164)","v":0},null,null,{"$f":"MIN(AA7:AA164)","v":7.6715338916326682E-3},null,null,{"$f":"MIN(AD7:AD164)","v":-0.40699999999999997},null,null,{"$f":"MIN(AG7:AG164)","v":2.9051761841862377E-2},null,null,{"$f":"MIN(AJ7:AJ164)","v":0},null,{"$f":"MIN(AL7:AL164)","v":0},null,{"$f":"MIN(AN7:AN164)","v":0},null,{"$f":"MIN(AP7:AP164)","v":0.10833333333333334},null,{"$f":"MIN(AR7:AR164)","v":0},null,{"$f":"MIN(AT7:AT164)","v":0.24768087106281705},null,null,{"$f":"MIN(AW7:AW164)","v":0},null,null,{"$f":"MIN(AZ7:AZ164)","v":-6.9460300000000016E-2},null,null,{"$f":"MIN(BC7:BC164)","v":0.31361788338461588},null,null,{"$f":"MIN(BF7:BF164)","v":0},null,null,{"$f":"MIN(BI7:BI164)","v":0.14619069733691312},null,null,{"$f":"MIN(BL7:BL164)","v":0},null,null,{"$f":"MIN(BO7:BO164)","v":0.1914471376724057},null,null,{"$f":"MIN(BR7:BR164)","v":0.47499999999999998},{"$f":"MIN(BS7:BS164)","v":3.2869999999999999},null,{"$f":"MIN(BU7:BU164)","v":7.3777216600000006},null,null,{"$f":"MIN(BX7:BX164)","v":0.26606119180499987},null,null,{"$f":"MIN(CA7:CA164)","v":0.16801857163417944},null,null,{"$f":"MIN(CD7:CD164)","v":7.6742416927181353E-2}]
[]
[]
[]
["DATA CHECK TO PILLAR DATABASES",null,null,null,{"$f":"SUM(E7:E164)","v":2333.3911051568416},65.101207068444751,12557,1732.6923845558624,61.834615022515372,12558,2977.4367146523982,61.885945628862203,12560,62.940589239940778,85.608851119957606,12561,67.710028886924917,12558,10180,1328.1493780725229,12032.094583506201,95.589826801996026,12561,8687.6183411989659,86.876183411989629,11772,83.654882080210768,86.204009618068284,12561,-11.52963436327712,27.442374216035734,12558,58.012615178729078,70.122055308473918,12561,1264.4585,{"$f":"SUM(AK7:AK164)","v":107.42166000000003},5.541891319236778,34.090300442515378,3763.1150000000002,94.077874999999977,78.529945147505103,80.431648401742834,263.14285714285717,128.76190476190476,104.59677658182383,87.015199316252875,12561,59.743308564535191,78.467811335770733,12561,0.99134649594011726,92.879501722204409,12561,86.120837458076039,87.421129863619683,12561,520.04000800000017,102.99599920000006,12066,115.00045863698263,111.58499533629417,12531,78.928500775971131,36.244204749450297,12506,84.086490074859086,88.843019678133317,{"$f":"SUM(BQ7:BQ164)","v":12561},1091.3030000000008,6285.4379999999992,5904.4019570000019,6995.7049570000036,91.20366225998265,12561,77.934974900628987,93.574872612787374,12246,91.716528163455976,87.333772786095594,12561,81.625652652729741,89.561046359302139,12561]
[]
["NEW COUNTRIES ADDED FOR CRI3"]
["Bahamas, The"]
["Hong Kong SAR, China"]
["North Macedonia"]
["South Sudan"]
[]
["COUNTRIES REMOVED FROM CRI"]
["El Salvador"]
["Kosovo"]
["Tonga"]

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["INDICATOR PS1: Public Services Expenditure  on education, health and social protection as % of total spending",null,null,null,null,null,null,null,null," "]
[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24]
[null,null,"SPENDING AS A % TOTAL BUDGET",null,null,null,null,null,null,"SPENDING AS A % TOTAL BUDGET",null,null,null,null,null,null,"SPENDING AS A % TOTAL BUDGET"]
["Country Name","Region","Education - % total government budget","Year ","Source ","CRI-2\nEducation %","CRI-2\nYear","CRII-3 minus CRII-2","Year change","Health - % total government budget","Year","Source ","CRI-2\nHealth %","CRI-2\nYear","CRII-3 minus CRII-2","Year change","Social protection - % total government budget","Year ","Source","CRI-2\nSP %","CRI-2\nYear","CRII-3 minus CRII-2","Year change","NOTES"]
[1,{"$f":"A5+1","v":2},{"$f":"B5+1","v":3},{"$f":"C5+1","v":4},5,6,7,null,null,{"$f":"G5+1","v":8},9,10,11,12,null,null,{"$f":"N5+1","v":13},14,15,16,17,null,null,{"$f":"U5+1","v":18}]
["Afghanistan","SA",{"$f":"VLOOKUP($A6,S1_source_selection,20,FALSE)","v":12.022591028482319},{"$f":"VLOOKUP($A6,S1_source_selection,21,FALSE)","v":2018},{"$f":"VLOOKUP($A6,S1_source_selection,19,FALSE)","v":"AsDB"},12.66,2017,{"$f":"C6-F6","v":-0.63740897151768117},{"$f":"D6-G6","v":1},{"$f":"VLOOKUP($A6,S1_source_selection,39,FALSE)","v":4.04},{"$f":"VLOOKUP($A6,S1_source_selection,40,FALSE)","v":2019},{"$f":"VLOOKUP($A6,S1_source_selection,38,FALSE)","v":"GSW"},3.35,2017,{"$f":"J6-M6","v":0.69},{"$f":"K6-N6","v":2},{"$f":"VLOOKUP($A6,S1_source_selection,60,FALSE)","v":8.0668308723063333},{"$f":"VLOOKUP($A6,S1_source_selection,61,FALSE)","v":2018},{"$f":"VLOOKUP($A6,S1_source_selection,59,FALSE)","v":"AsDB"},6.1,2017,{"$f":"Q6-T6","v":1.9668308723063337},{"$f":"R6-U6","v":1}]
["Albania","ECA",8.23,2019,"GSW",8.1300000000000008,2017,{"$f":"C7-F7","v":9.9999999999999645E-2},{"$f":"D7-G7","v":2},10.8,2019,{"$f":"VLOOKUP($A7,S1_source_selection,38,FALSE)","v":"GSW"},9.6199999999999992,2017,{"$f":"J7-M7","v":1.1800000000000015},{"$f":"K7-N7","v":2},33.119999999999997,2019,"GSW",28.50933120851591,2014,{"$f":"Q7-T7","v":4.6106687914840876},{"$f":"R7-U7","v":5}]
["Algeria","MENA",11.42835,"2008","UIS",11.42835,2008,0,0,10.73546767,2017,"WHO",10.69,2015,4.5467670000000737E-2,2,11.846892698241133,2011,"ILO",11.846892698241133,2011,0,0]
["Angola","SSA",9.58,2019,"GSW",10.4,2017,-0.82000000000000028,2,10.84,2019,"GSW",6.61,2017,4.2299999999999995,2,16.551372700459112,2014,"ILO",16.551372700459112,2014,0,0]
["Antigua and Barbuda","LAC",6.92814,"2009","UIS",6.92814,2009,0,0,9.48342989,2017,"WHO",14.88,2015,-5.3965701100000008,2,12.78,2011,"ILO",12.7,2011,8.0000000000000071E-2,0]
["Argentina","LAC",13.263920000000001,"2017","UIS",14.061617504051865,2015,{"$f":"C11-F11","v":-0.79769750405186457},2,16.160691910000001,2017,"WHO",15.058444084278769,2015,1.102247825721232,2,47.77,2019,"Nat Budget",29.968424635332255,2015,17.801575364667748,4]
["Armenia","ECA",8.58,2019,"GSW",9.3800000000000008,2017,-0.80000000000000071,2,5.44,2019,"GSW",6.31,2017,-0.86999999999999922,2,26.99,2019,"GSW",29.721013949302531,2016,-2.7310139493025325,3]
["Australia","EAP",15.393756393654403,2018,"AsDB",14.62299480371629,2015,0.77076158993811283,3,20.031338564669014,2018,"AsDB",16.082181418218859,2016,3.9491571464501547,2,27.526942202909481,2018,"AsDB",35.282133152646836,2016,-7.7551909497373543,2]
["Austria","ECA",9.8201734635420141,2018,"OECD",9.76155023746837,2016,5.8623226073644119E-2,2,16.786794388414446,2018,"OECD",15.786872269945521,2016,0.99992211846892509,2,41.376250682796197,2018,"OECD",42.553080434556769,2016,-1.1768297517605717,2]
["Azerbaijan","ECA",8.6513927748156743,2018,"AsDB",9.8850315599639327,2016,-1.2336387851482584,2,3.122965387390241,2018,"AsDB",3.96190261496844,2016,-0.838937227578199,2,19.834077625380498,2018,"IMF",17.121293742506715,2014,2.7127838828737829,4]
["Bahamas, The","LAC",12.836123795027904,2018,"Cepal",null,null,null,null,12.734652460679857,2018,"Cepal",null,null,null,null,8.9802130898021311,2018,"CEPAL"]
["Bahrain","MENA",7.1803499999999998,"2017","UIS",7.59457,2016,-0.41422000000000025,1,8.4939786900000023,2017,"WHO",9.4883697099999988,2015,-0.99439101999999657,2,14.039617391304345,2010,"ILO",14.039617391304345,2010,0,0]
["Bangladesh","SA",14.63,2019,"GSW",15.54,2017,-0.90999999999999837,2,5.04,2019,"GSW",5.14,2017,-9.9999999999999645E-2,2,6.14,2019,"GSW",6.05,2017,8.9999999999999858E-2,2]
["Barbados","LAC",19.795570698466776,2018,"Cepal",14.357799999999999,2016,5.4377706984667764,2,11.277683134582624,2018,"Cepal",7.98,2015,3.2976831345826234,3,14.071550255536625,2018,"CEPAL",21.935583531222207,2010,-7.864033275685582,8]
["Belarus","ECA",12.281689999999998,"2017","UIS",10.79874,2016,1.4829499999999971,1,10.65954561,2017,"WHO",12.693011539999997,2015,-2.0334659299999966,2,38.564488270016895,2014,"ILO",38.564488270016895,2014,0,0]
["Belgium","ECA",11.942335803888986,2018,"OECD",12.042638637767046,2016,-0.10030283387806094,2,14.566443981426808,2018,"OECD",13.904380700219013,2016,0.66206328120779467,2,36.997033413635783,2018,"OECD",37.602276311522388,2016,-0.60524289788660468,2]
["Belize","LAC",23.6,2019,"GSW",23.8,2017,-0.19999999999999929,2,11.76,2019,"GSW",10.98,2017,0.77999999999999936,2,6.59,2019,"GSW",5.98,2017,0.60999999999999943,2]
["Benin","SSA",19.78,2019,"GSW",16.61,2017,3.1700000000000017,2,5.03,2019,"GSW",5.17,2017,-0.13999999999999968,2,6.76,2019,"GSW",6.24,2016,0.51999999999999957,3]
["Bhutan","SA",16.25,2019,"GSW",21.06,2017,-4.8099999999999987,2,7.5,2019,"GSW",8.68,2017,-1.1799999999999997,2,5.4652034095033324,2018,"AsDB",9.6634159061277707,2016,-4.1982124966244383,2]
["Bolivia","LAC",23.038084461882701,2016,"Nat Budg",21.01,2014,2.028084461882699,2,14.7294875360828,2016,"Nat Budget",11.04,2014,3.689487536082801,2,12.4322457399174,2016,"Nat Budget",15.11,2014,-2.6777542600825992,2]
["Botswana","SSA",20.477399999999999,"2009","UIS",20.477399999999999,2009,0,0,15.682932339999999,2017,"WHO",8.6623707599999999,2015,7.020561579999999,2,6.8785205268023617,2010,"ILO",6.8785205268023617,2010,0,0]
["Brazil","LAC",7.8763708873379867,2018,"Cepal",12.71478159126365,2015,-4.8384107039256632,3,6.9790628115653046,2018,"Cepal",11.592215288611543,2015,-4.6131524770462384,3,34.46457642335006,2015,"ILO",30.263471138845553,2015,4.2011052845045072,0]
["Brunei Darussalam","EAP",11.44195,"2016","UIS",11.44361,2016,-1.6599999999993287E-3,0,6.153299979999999,2017,"WHO",6.7526484400000006,2015,-0.59934846000000164,2,3.4008447958410049,2012,"AsDB",3.4101382488479262,2012,-9.2934530069213039E-3,0]
["Bulgaria","ECA",9.6999999999999993,"2018","Eurostat",9.8000000000000007,2016,-0.10000000000000142,2,13.6,"2018","Eurostat",14.3,2016,-0.70000000000000107,2,32.799999999999997,"2018","Eurostat",37.247919420201967,2014,-4.4479194202019698,4]
["Burkina Faso","SSA",22.89,2019,"GSW",18.82,2017,4.07,2,10.66,2019,"GSW",10.7,2017,-3.9999999999999147E-2,2,4.54,2018,"GSW",5.56,2017,-1.0199999999999996,1]
["Burundi","SSA",18.03,2019,"GSW",17.88,2017,0.15000000000000213,2,12,2019,"GSW",10.25,2017,1.75,2,4.1852099999999997,2019,"GSW",5,2010,-0.81479000000000035,9]
["Cabo Verde","SSA",18.66,2019,"GSW",19.03,2017,-0.37000000000000099,2,9.64,2019,"GSW",8.15,2017,1.4900000000000002,2,11.34,2019,"GSW",12.69,2017,-1.3499999999999996,2]
["Cambodia","EAP",17.650553172208738,2018,"AsDB",13.69,2017,3.9605531722087388,1,8.6122411693652126,2018,"AsDB",8.48,2017,0.13224116936521213,1,6.3678017734454793,2018,"AsDB",6.2739538074548369,2016,9.3847965990642379E-2,2]
["Cameroon","SSA",17.21,2019,"GSW",16.059999999999999,2017,1.1500000000000021,2,5.21,2019,"GSW",5.41,2017,-0.20000000000000018,2,5.8184199999999997,2019,"GSW",5.163468023245918,2010,0.65495197675408168,9]
["Canada","NA",12.219139999999999,"2011","UIS",12.219139999999999,2011,0,0,19.526973129999995,2017,"WHO",19.026964199999998,2015,0.50000892999999635,2,25.482876959448969,2014,"ILO",25.482876959448969,2014,0,0]
["Central African Republic","SSA",10.84,2019,"GSW",8.9,2017,1.9399999999999995,2,10.58,2019,"GSW",10.65,2017,-7.0000000000000284E-2,2,7.64680421,2017,"GSW",6.16,2017,1.4868042099999998,0]
["Chad","SSA",13.82,2019,{"$f":"VLOOKUP($A37,S1_source_selection,19,FALSE)","v":"GSW"},12.461460000000001,2013,1.3585399999999996,6,6.07,2019,"GSW",9.6069696100000002,2015,-3.5369696099999999,4,0.49626492746271877,2010,"ILO",0.49626492746271877,2010,0,0]
["Chile","LAC",20.7,2019,"Nat Budg",23.02,2017,-2.3200000000000003,2,20.778671180702499,2018,"Cepal",18.776200873362445,2015,2.0024703073400545,3,24.291155311045284,2018,"CEPAL",26.737991266375545,2015,-2.4468359553302612,3]
["China","EAP",{"$f":"VLOOKUP($A39,S1_source_selection,20,FALSE)","v":14.586448439375161},{"$f":"VLOOKUP($A39,S1_source_selection,21,FALSE)","v":2018},{"$f":"VLOOKUP($A39,S1_source_selection,19,FALSE)","v":"AsDB"},14.936036328597059,2016,-0.34958788922189754,2,{"$f":"VLOOKUP($A39,S1_source_selection,39,FALSE)","v":11.073467640000001},{"$f":"VLOOKUP($A39,S1_source_selection,40,FALSE)","v":2017},{"$f":"VLOOKUP($A39,S1_source_selection,38,FALSE)","v":"WHO"},11,2015,7.34676400000005E-2,2,{"$f":"VLOOKUP($A39,S1_source_selection,60,FALSE)","v":12.260446261164306},{"$f":"VLOOKUP($A39,S1_source_selection,61,FALSE)","v":2018},{"$f":"VLOOKUP($A39,S1_source_selection,59,FALSE)","v":"AsDB"},19.683859639710128,2014,-7.4234133785458223,4]
["Colombia","LAC",16.010000000000002,2019,"GSW",15.11,2017,0.90000000000000213,2,15.334008097165992,{"$f":"VLOOKUP($A40,S1_source_selection,40,FALSE)","v":2018},"Cepal",15.011334939759037,2015,0.32267315740695501,3,28.036437246963558,2018,"CEPAL",27.917421686746991,2015,0.11901556021656745,3]
["Comoros","SSA",13.25365,"2015","UIS",19.149999999999999,2012,-5.8963499999999982,3,4.9660722400000008,2017,"WHO",1.51,2013,3.456072240000001,4,"","",0,0,0,{"$error":"#VALUE!"},{"$error":"#VALUE!"}]
["Congo, Dem. Rep.","SSA",18.29,2019,"GSW",10.48,2017,{"$f":"C42-F42","v":7.8099999999999987},2,11.3,2019,"GSW",7.08,2017,4.2200000000000006,2,1.77,2019,"GSW",1.32,2017,0.44999999999999996,2]
["Congo, Rep.","SSA",16.93,2019,"GSW",10.61,2017,6.32,2,9.74,2019,"GSW",5.44,2017,4.3,2,5.3,2019,"GSW",3.55,2017,1.75,2]
["Costa Rica","LAC",23.494784024748125,2017,"OECD",23.423200000000001,2016,7.1584024748123198E-2,1,18.079612971135617,2017,"OECD",13.506233108108109,2015,4.5733798630275082,2,25.360749389897158,2017,"OECD",14.349087837837839,2015,11.011661552059319,2]
["Cote d'Ivoire","SSA",17.71,2019,"GSW",21,2017,-3.2899999999999991,2,5.22,2019,"GSW",6.5,2017,-1.2800000000000002,2,8.8699999999999992,2017,"GSW",8.8699999999999992,2017,0,0]
["Croatia","ECA",11.5,"2018","Eurostat",10.199999999999999,2016,1.3000000000000007,2,14.3,"2018","Eurostat",13.9,2016,0.40000000000000036,2,31.9,"2018","Eurostat",31.2,2016,0.69999999999999929,2]
["Cuba","LAC",7.9343365253077973,2018,"Cepal",19.624036850921275,2011,-11.689700325613478,7,15.875603859999998,2017,"WHO",15.096566164154105,2011,0.77903769584589355,6,29.138166894664842,2018,"CEPAL",11.828391959798996,2011,17.309774934865846,7]
["Cyprus","ECA",12,"2018","Eurostat",15.6,2016,-3.5999999999999996,2,6.2,"2018","Eurostat",6.8,2016,-0.59999999999999964,2,28.7,"2018","Eurostat",35.700000000000003,2016,-7.0000000000000036,2]
["Czech Republic","ECA",11.412713558768854,2018,"OECD",11.315967181908574,2016,9.6746376860279426E-2,2,18.696135687863624,2018,"OECD",18.885609915615177,2016,-0.18947422775155331,2,29.546206802950962,2018,"OECD",31.208399134351055,2016,-1.6621923314000924,2]
["Denmark","ECA",12.6,"2018","Eurostat",12.913958421952429,2016,-0.31395842195242984,2,16.3,"2018","Eurostat",16.058909007493224,2016,0.24109099250677701,2,43.1,"2018","Eurostat",43.574494679241774,2016,-0.47449467924177213,2]
["Djibouti","MENA",18.88,2013,"GSW",18.88,2013,0,0,8.09,2013,"GSW",5.73,2015,2.3599999999999994,-2,5.2309110526351565,2007,"ILO",5.2309110526351565,2007,0,0]
["Dominican Republic","LAC",20.100000000000001,2019,"GSW",21.18,2017,-1.0799999999999983,2,8.24,2019,"GSW",10.11,2017,-1.8699999999999992,2,7.01,2019,"GSW",8.7899999999999991,2017,-1.7799999999999994,2]
["Ecuador","LAC",15.29,2019,"GSW",14.12,2017,1.17,2,8.92,2019,"GSW",7.55,2017,1.37,2,6.309148264984227,2018,"CEPAL",10.252029605318368,2014,-3.9428813403341412,4]
["Egypt, Arab Rep.","MENA",8.39,2019,"Nat Budg",10.66,2017,-2.2699999999999996,2,4.6399999999999997,2019,"Nat Budget",5.0199999999999996,2017,-0.37999999999999989,2,17.21,2019,"Nat Budget",19.22,2017,-2.009999999999998,2]
["El Salvador","LAC",14.5,2019,"GSW",14.08,2017,0.41999999999999993,2,10.78,2019,"GSW",10.53,2017,0.25,2,18.149049158928399,2017,"IMF",21.083938019652305,2015,-2.9348888607239054,2]
["Estonia","ECA",15.829641780196249,2018,"OECD",14.572565308194005,2016,1.2570764720022449,2,13.139309884194915,2018,"OECD",13.069805971368234,2016,6.9503912826681002E-2,2,33.331041459988803,2018,"OECD",33.308053996663126,2016,2.2987463325677027E-2,2]
["Eswatini","SSA",20.98,2019,"GSW",17.16,2017,3.8200000000000003,2,15.35,2019,"GSW",9.91,2017,5.4399999999999995,2,9.4491886019999995,2019,"GSW",7.7,2015,{"$f":"Q57-T57","v":1.7491886019999994},{"$f":"R57-U57","v":4}]
["Ethiopia","SSA",25.48,2019,"GSW",23.3,2017,2.1799999999999997,2,10.33,2019,"GSW",8.24,2017,2.09,2,8.1999999999999993,2016,"GSW",6.66,2017,1.5399999999999991,-1]
["Fiji","EAP",14.8,2019,"GSW",14.78,2017,2.000000000000135E-2,2,6.85,2019,"GSW",6.38,2017,0.46999999999999975,2,3.71,2019,"GSW",4.6057699115044244,2016,-0.89576991150442442,3]
["Finland","ECA",10.35209003215434,2018,"OECD",10.81329415173213,2016,-0.46120411957778984,2,13.191318327974278,2018,"OECD",12.9001283059476,2016,0.29119002202667765,2,45.482315112540192,2018,"OECD",45.764662058689623,2016,-0.28234694614943123,2]
["France","ECA",9.1421061372821288,2018,"OECD",9.5699179757699824,2016,-0.42781183848785354,2,14.500008721285168,2018,"OECD",14.351215878286421,2016,0.14879284299874662,2,42.635633047755483,2018,"OECD",43.305705403602829,2016,-0.67007235584734559,2]
["Gambia, The","SSA",15.46,2019,"GSW",10.26,2015,5.2000000000000011,4,7.47,2019,"GSW",13.155418489999999,2015,-5.6854184899999991,4,2,2014,"GSW",1.34,2014,0.65999999999999992,0]
["Georgia","ECA",12.929627434029065,2018,"AsDB",12.6662,2016,0.26342743402906521,2,10.028616359968714,2018,"AsDB",12.500892910000001,2015,-2.4722765500312871,3,24.017460787946156,2018,"AsDB",25.146863748341865,2016,-1.1294029603957085,2]
["Germany","ECA",9.3521091608308105,2018,"OECD",9.5303973837588227,2016,-0.17828822292801227,2,16.247321365073955,2018,"OECD",16.227205653062857,2016,2.0115712011097742E-2,2,43.610524804461328,2018,"OECD",43.608148603190216,2016,2.3762012711117109E-3,2]
["Ghana","SSA",17.71,2019,"GSW",15.28,2017,2.4300000000000015,2,8.3000000000000007,2019,"GSW",7.77,2017,0.53000000000000114,2,5.0974574833036908,2019,"GSW",5.8352529018816011,2010,-0.73779541857791031,9]
["Greece","ECA",8.2816498743457903,2018,"OECD",8.6414767810787421,2016,-0.35982690673295181,2,10.628732160560718,2018,"OECD",9.8667435823478513,2016,0.76198857821286659,2,40.514836418970326,2018,"OECD",41.517161811364289,2016,-1.0023253923939635,2]
["Guatemala","LAC",22.25,2019,"GSW",22.41,2017,-0.16000000000000014,2,11.03,2019,"GSW",8.9600000000000009,2017,2.0699999999999985,2,15.29,2018,"GSW",15.29,2017,0,1]
["Guinea","SSA",14.66,2018,"GSW",17.45,2017,-2.7899999999999991,1,6.47,2018,"GSW",9.8699999999999992,2017,-3.3999999999999995,1,8.57,2017,"GSW",8.57,2017,0,0]
["Guinea-Bissau","SSA",12.6,2015,"GSW",12.6,2015,0,0,7.97,2015,"GSW",7.97,2015,0,0,5.99,2015,"GSW",5.99,2015,0,0]
["Guyana","LAC",17.940000000000001,2019,"GSW",17.77,2017,0.17000000000000171,2,12.34,2019,"GSW",12.86,2017,-0.51999999999999957,2,7.1100214526509333,2017,"CEPAL",12.022455470191639,2010,-4.912434017540706,7]
["Haiti","LAC",14.39,2019,"GSW",19.72,2017,-5.3299999999999983,2,{"$f":"VLOOKUP($A71,S1_source_selection,39,FALSE)","v":7.84},{"$f":"VLOOKUP($A71,S1_source_selection,40,FALSE)","v":2019},"GSW",4.88,2017,2.96,2,{"$f":"VLOOKUP($A71,S1_source_selection,60,FALSE)","v":4.17},{"$f":"VLOOKUP($A71,S1_source_selection,61,FALSE)","v":2018},{"$f":"VLOOKUP($A71,S1_source_selection,59,FALSE)","v":"GSW"},3.3348457350272236,2015,0.83515426497277634,3]
["Honduras","LAC",{"$f":"VLOOKUP($A72,S1_source_selection,20,FALSE)","v":14.84},{"$f":"VLOOKUP($A72,S1_source_selection,21,FALSE)","v":2019},{"$f":"VLOOKUP($A72,S1_source_selection,19,FALSE)","v":"GSW"},14.48,2017,0.35999999999999943,2,5.64,2019,{"$f":"VLOOKUP($A72,S1_source_selection,38,FALSE)","v":"GSW"},9.06,2017,-3.4200000000000008,2,17.61,2019,"GSW",1.08,2017,16.53,2]
["Hong Kong SAR, China","EAP",20.4283,2019,"Nat Budg",16.494139259969248,2016,{"$f":"C73-F73","v":3.9341607400307517},{"$f":"D73-G73","v":3},14.5771,2019,"Nat Budget",13.220511591685138,2016,null,null,21,2019,"Nat Budget",13.659418119371395,2016,{"$f":"Q73-T73","v":7.3405818806286049},{"$f":"R73-U73","v":3}]
["Hungary","ECA",10.965314141875902,2018,"OECD",10.469974602522186,2016,0.49533953935371677,2,10.125230987596396,2018,"OECD",10.308498342145207,2016,{"$f":"J74-M74","v":-0.1832673545488106},{"$f":"K74-N74","v":2},28.517539743924786,2018,"OECD",30.718253349291253,2016,-2.2007136053664667,2]
["Iceland","ECA",17.398271566277181,2018,"OECD",15.785533234356572,2016,1.6127383319206086,2,18.525707098362446,2018,"OECD",16.609834661916885,2016,1.9158724364455608,2,23.581184939308137,2018,"OECD",29.752051852618088,2016,-6.1708669133099505,2]
["India","SA",9.0500000000000007,2019,"GSW",11.59,2016,-2.5399999999999991,3,3.98,2019,"GSW",4.58,2016,-0.60000000000000009,3,11.23,2019,"GSW",5.74,2016,5.49,3]
["Indonesia","EAP",16.262433357079921,2017,"AsDB",20.62997,2015,-4.3675366429200793,2,10.098242449999997,2017,"WHO",7.1,2017,2.9982424499999976,0,7.7727929085691096,2018,"IMF",10.7,2017,-2.9272070914308896,1]
["Ireland","ECA",12.597144749418939,2018,"OECD",12.137641770043976,2016,0.45950297937496387,2,19.79496552333482,2018,"OECD",19.17702787079519,2016,0.61793765253963073,2,35.428780476050356,2018,"OECD",36.446431697203131,2016,-1.0176512211527751,2]
["Israel",null,17.701409872931496,2018,"OECD",17.325663662357545,2016,0.37574621057395063,2,13.423840629303138,2018,"OECD",12.96836028502273,2016,0.45548034428040829,2,27.625272179282117,2018,"OECD",27.090417948009009,2016,0.53485423127310838,2]
["Italy","ECA",8.1710433628753485,2018,"OECD",7.9019552806793305,2016,0.26908808219601799,2,14.148223383516537,2018,"OECD",14.080526580180241,2016,{"$f":"J80-M80","v":6.7696803336296796E-2},{"$f":"K80-N80","v":2},42.927233963880262,2018,"OECD",42.748740831045481,2016,0.17849313283478097,2]
["Jamaica","LAC",16.95,2019,"GSW",18.54,2017,-1.5899999999999999,2,11.99,2019,"GSW",11.87,2017,{"$f":"J81-M81","v":0.12000000000000099},{"$f":"K81-N81","v":2},3.45,2020,"GSW",7.79,2017,-4.34,3]
["Japan","EAP",8.4696607067436283,2018,"OECD",8.5803121229085626,2016,-0.11065141616493435,2,23.644291289999995,2017,"WHO",19.357546775391082,2016,4.2867445146089125,1,41.41001454784363,2018,"OECD",41.37238571736377,2016,3.7628830479860653E-2,2]
["Jordan","MENA",12.54,2019,"GSW",11.79,2017,0.75,2,12.17,2019,"GSW",9.4700000000000006,2017,2.6999999999999993,2,29.727266976302079,2015,"ILO",29.727266976302079,2015,0,0]
["Kazakhstan","ECA",14.341882473017748,2017,"AsDB",13.869350000000001,2016,0.47253247301774692,1,11.154162686813272,2017,"AsDB",15.037576439999999,2015,-3.8834137531867263,2,26.735213948694501,2018,"IMF",17.004644468521001,2015,9.7305694801735001,3]
["Kenya","SSA",19.104030000000002,"2018","UIS",16.579999999999998,2017,2.5240300000000033,1,9.1924979700000016,2017,"WHO",3.87,2017,5.3224979700000015,0,4.46,2019,"GSW",7.07,2017,-2.6100000000000003,2]
["Kiribati","EAP",9.66,2019,"GSW",12.25,2017,-2.59,2,7.02,2019,"GSW",10.4,2017,-3.3800000000000008,2,1.5420441651511254,2017,"AsDB",2.2509776253274389,2015,-0.70893346017631353,2]
["Korea, Rep.","EAP",15.754279479883804,2017,"AsDB",16.068869929513362,2016,-0.31459044962955751,1,14.25811793555371,2017,"OECD",13.23084724043424,2016,1.0272706951194692,1,26.866172684424399,2017,"AsDB",20.476767423535644,2016,6.3894052608887542,1]
["Kosovo","ECA",13.65,2019,"GSW",13.82,2017,-0.16999999999999993,2,10.26,2019,"GSW",9.07,2017,{"$f":"J88-M88","v":1.1899999999999995},{"$f":"K88-N88","v":2},19.489999999999998,2019,"GSW",2.2799999999999998,2017,17.209999999999997,2]
["Kuwait","MENA",13.370010000000001,"2006","UIS",13.370010000000001,2006,0,0,8.9202915499999982,2017,"WHO",6.2063449700000017,2015,2.7139465799999964,2,29.282687545169843,2011,"ILO",29.282687545169843,2011,0,0]
["Kyrgyz Republic","ECA",16.940000000000001,2019,"GSW",18.670000000000002,2017,-1.7300000000000004,2,8.1748587700000019,2017,"WHO",9.98,2017,-1.8051412299999985,0,27.324507887405701,2017,"AsDB",16.485749919164856,2016,10.838757968240845,1]
["Lao PDR","EAP",11.757350000000001,"2014","UIS",12.18988,2014,-0.43252999999999986,0,5.3502403499999991,2017,"WHO",6.0442727200000004,2015,-0.69403237000000129,2,0.93249080970407083,2013,"ILO",0.93249080970407083,2013,0,0]
["Latvia","ECA",15.107738057587989,2018,"OECD",14.702524106240395,2016,0.4052139513475943,2,10.436965641595345,2018,"OECD",10.040247781108786,2016,0.3967178604865591,2,30.170308715170101,2018,"OECD",32.186624245555507,2016,-2.0163155303854055,2]
["Lebanon","MENA",8.9,2019,"Nat Budg",6.26,2017,2.6400000000000006,2,13.207925979999999,2017,"WHO",14.01,2015,-0.80207402000000094,2,22.11,2019,"Nat Budget",8.34,2017,13.77,2]
["Lesotho","SSA",12.98,2019,"GSW",14.23,2017,-1.25,2,13.51,2019,"GSW",11.81,2017,1.6999999999999993,2,12.986499215070642,2011,"ILO",12.986499215070642,2011,0,0]
["Liberia","SSA",18.010000000000002,2019,"GSW",14.36,2017,3.6500000000000021,2,17.239999999999998,2019,"GSW",12.9,2017,{"$f":"J95-M95","v":4.3399999999999981},{"$f":"K95-N95","v":2},1.66,2019,"GSW",0.87,2017,0.78999999999999992,2]
["Lithuania","ECA",13.412469261563814,2018,"OECD",15.059975897748391,2016,-1.6475066361845769,2,17.369892877766461,2018,"OECD",17.079484508179494,2016,{"$f":"J96-M96","v":0.29040836958696659},{"$f":"K96-N96","v":2},35.394392790174081,2018,"OECD",32.84415641363335,2016,2.550236376540731,2]
["Luxembourg","ECA",10.867360687293647,2017,"OECD",11.542187008104094,2016,-0.67482632081044613,1,11.329364862834247,2017,"OECD",11.27887226055263,2016,5.0492602281616783E-2,1,42.812596801774319,2017,"OECD",42.99983565218988,2016,-0.18723885041556088,1]
["Madagascar","SSA",18.54,2019,"GSW",16.329999999999998,2017,2.2100000000000009,2,7,2019,"GSW",5.32,2017,1.6799999999999997,2,7.79,2017,"GSW",7.79,2017,0,0]
["Malawi","SSA",17.399999999999999,2019,"GSW",17.53,2017,-0.13000000000000256,2,8.14,2019,"GSW",10.02,2017,-1.879999999999999,2,6.46,2019,"GSW",4.6900000000000004,2017,1.7699999999999996,2]
["Malaysia","EAP",23.284080840474473,2017,"AsDB",22.054344722565908,2016,1.2297361179085655,1,9.8176104422690482,2017,"AsDB",9.171266774531265,2016,0.64634366773778318,1,4.7228233753939337,2017,"AsDB",4.2368579677040703,2016,0.4859654076898634,1]
["Maldives","SA",11.281510000000001,"2016","UIS",11.09282,2016,0.18869000000000113,0,10.324594740222546,2015,"AsDB",10.393104128227156,2015,-6.8509388004610372E-2,0,15.44931056590187,2015,"AsDB",15.551862232801399,2015,-0.10255166689952944,0]
["Mali","SSA",15.7,2019,"GSW",17.54,2017,-1.8399999999999999,2,4.97,2019,"GSW",6.07,2017,-1.1000000000000005,2,8.37888521,2019,"GSW",15.626619217532939,2010,-7.2477340075329391,9]
["Malta","MENA",14.2,"2018","Eurostat",14.1,2016,9.9999999999999645E-2,2,{"$f":"VLOOKUP($A103,S1_source_selection,39,FALSE)","v":14.6},{"$f":"VLOOKUP($A103,S1_source_selection,40,FALSE)","v":"2018"},"Eurostat",14.7,2016,-9.9999999999999645E-2,2,{"$f":"VLOOKUP($A103,S1_source_selection,60,FALSE)","v":29.8},{"$f":"VLOOKUP($A103,S1_source_selection,61,FALSE)","v":"2018"},{"$f":"VLOOKUP($A103,S1_source_selection,59,FALSE)","v":"Eurostat"},31.6,2016,-1.8000000000000007,2]
["Mauritania","SSA",{"$f":"VLOOKUP($A104,S1_source_selection,20,FALSE)","v":16.95},{"$f":"VLOOKUP($A104,S1_source_selection,21,FALSE)","v":2017},{"$f":"VLOOKUP($A104,S1_source_selection,19,FALSE)","v":"GSW"},13.07,2016,3.879999999999999,1,6.59,2017,{"$f":"VLOOKUP($A104,S1_source_selection,38,FALSE)","v":"GSW"},7.52081132,2015,-0.93081132000000011,2,9.94,2017,"GSW",9.93,2016,9.9999999999997868E-3,1]
["Mauritius","SSA",19.647819999999999,"2018","UIS",19.9757,2016,-0.32788000000000039,2,10.058681930000001,2017,"WHO",10.504105260000001,2015,-0.44542333000000056,2,27.344540258843299,2018,"IMF",31.09805892341581,2014,-3.7535186645725105,4]
["Mexico","LAC",17.510000000000002,2019,"Nat Budg",17.82,2017,-0.30999999999999872,2,13.74,2019,"Nat Budget",14.1,2017,-0.35999999999999943,2,24.93,2019,"Nat Budget",20.83,2017,4.1000000000000014,2]
["Moldova","ECA",16.2,2019,"GSW",16.850000000000001,2017,-0.65000000000000213,2,12.29,2019,"GSW",12.54,2017,-0.25,2,32.67,2019,"GSW",33.36,2017,-0.68999999999999773,2]
["Mongolia","EAP",17,2019,"GSW",15.61,2017,1.3900000000000006,2,7.66,2019,"GSW",7.52,2017,{"$f":"J108-M108","v":0.14000000000000057},{"$f":"K108-N108","v":2},21.265492042184999,2018,"IMF",21.35421590562926,2016,-8.8723863444261752E-2,2]
["Montenegro","ECA",0,0,0,9.84,2014,-9.84,-2014,0,0,0,2.52975013,2015,{"$f":"J109-M109","v":-2.52975013},{"$f":"K109-N109","v":-2015},0,0,0,30.51,2011,{"$f":"Q109-T109","v":-30.51},-2011]
["Morocco","MENA",17.39,2017,"Nat Budg",17.39,2017,0,0,5.19,2017,"Nat Budget",5.19,2017,0,0,14.515769300188694,2010,"ILO",14.515769300188694,2010,0,0]
["Mozambique","SSA",16.64,2019,"GSW",17.73,2017,-1.0899999999999999,2,8.2200000000000006,2019,"GSW",7.77,2017,0.45000000000000107,2,5.71,2017,"GSW",5.71,2017,0,0]
["Myanmar","EAP",13.961240524224758,2018,"AsDB",9.86,2017,4.1012405242247585,1,6.9599061384744392,2018,"AsDB",5.16,2017,1.799906138474439,1,4.1574030878332398,2019,"IMF",3.7,2016,0.45740308783323957,3]
["Namibia","SSA",25.4,2019,"Nat Budg",22.24,2017,3.16,2,14.19,2019,"Nat Budget",12.58,2015,1.6099999999999994,4,13.482155970039653,2019,"Nat Budget",12.822124450031428,2017,0.66003152000822496,2]
["Nepal","SA",10.199999999999999,2019,"GSW",11.04,2017,-0.83999999999999986,2,4.97,2019,"GSW",4.62,2017,0.34999999999999964,2,10.28,2017,"GSW",10.28,2017,0,0]
["Netherlands","ECA",12.113522414471097,2018,"OECD",12.172685250402131,2016,-5.9162835931033442E-2,2,17.969057215886746,2018,"OECD",17.711442134126564,2016,0.25761508176018211,2,36.771898348407397,2018,"OECD",37.285953434736882,2016,-0.51405508632948482,2]
["New Zealand","EAP",15.779560382824526,2018,"AsDB",18.062866771250942,2016,-2.283306388426416,2,18.204243194921169,2018,"AsDB",20.268432978908837,2016,{"$f":"J116-M116","v":-2.0641897839876684},{"$f":"K116-N116","v":2},29.270204893346463,2018,"AsDB",33.235721341002851,2016,-3.9655164476563876,2]
["Nicaragua","LAC",22.98,2017,"GSW",22.98,2017,0,0,17.559999999999999,2019,"GSW",17.36,2017,{"$f":"J117-M117","v":0.19999999999999929},{"$f":"K117-N117","v":2},2.4500000000000002,2017,"GSW",3.2601319509896323,2015,-0.81013195098963209,2]
["Niger","SSA",14.59,2019,"GSW",19.559999999999999,2017,-4.9699999999999989,2,7.08,2019,"GSW",9.2200000000000006,2017,-2.1400000000000006,2,3.6369176639786325,2010,"ILO",3.6369176639786325,2010,0,0]
["Nigeria","SSA",6.54,2012,"GSW",6.54,2012,0,0,3.57,2012,"GSW",3.57,2012,0,0,{"$f":"VLOOKUP($A119,S1_source_selection,60,FALSE)","v":6.7},2010,"ILO",6.7,2010,{"$f":"Q119-T119","v":0},0]
["North Macedonia",null,11,null,null,null,null,null,null,14,null,null,null,null,null,null,{"$f":"VLOOKUP($A120,S1_source_selection,60,FALSE)","v":33.6}]
["Norway","ECA",11.048551150881144,2018,"OECD",11.07947282807325,2016,-3.0921677192106145E-2,2,16.751884048285561,2018,"OECD",17.137758667160703,2016,-0.38587461887514252,2,38.897495444350795,2018,"OECD",40.012132099755902,2016,-1.114636655405107,2]
["Occupied Palestinian Territory","MENA",18.524883900928792,2019,"GSW",16,2017,2.524883900928792,2,9.8832540911101283,2019,"GSW",9.7100000000000009,2017,0.17325409111012746,2,8.503317116320213,2019,"GSW",8.5500000000000007,2017,-4.6682883679787679E-2,2]
["Oman","MENA",11.08018,"2013","UIS",11.95759,2016,-0.87740999999999936,-3,7.5657348999999998,2017,"WHO",6.6853932400000007,2015,0.88034165999999914,2,7.9297615543126296,2013,"ILO",7.9297615543126296,2013,0,0]
["Pakistan","SA",14.544779999999999,"2017","UIS",12.603149999999999,2016,1.94163,1,4.0999999999999996,2019,"GSW",3.42,2017,0.67999999999999972,2,6.4,2010,"ILO",6.4,2010,0,0]
["Panama","LAC",19.157530294287366,2017,"Cepal",13.103389830508473,2014,6.0541404637788929,3,9.9826889786497404,2017,"Cepal",7.7949152542372886,2014,2.1877737244124518,3,17.794276570658582,2015,"ILO",4.7745762711864401,2014,13.019700299472142,1]
["Papua New Guinea","EAP",17.5,2019,"GSW",17.78,2017,-0.28000000000000114,2,9.2100000000000009,2019,"GSW",9.99,2017,-0.77999999999999936,2,2.2000000000000002,2019,"GSW",0.65,2017,1.5500000000000003,2]
["Paraguay","LAC",20.749665327978583,2018,"Cepal",15.86732283464567,2015,4.8823424933329136,3,11.981258366800535,2018,"Cepal",9.9029527559055115,2015,2.0783056108950237,3,23.627844712182061,2018,"Cepal",18.393503937007875,2015,5.2343407751741857,3]
["Peru","LAC",18.22,2019,"GSW",18.38,2017,-0.16000000000000014,2,10.84,2019,"GSW",9.68,2017,1.1600000000000001,2,12.453531598513013,2018,"Cepal",13.796781952350216,2015,-1.3432503538372025,3]
["Philippines","EAP",18.39,2019,"Nat Budg",18.312465977136636,2016,7.7534022863364527E-2,3,8.7052069000000003,2017,"WHO",8,2015,0.7052069000000003,2,11.84,2019,"Nat Budget",7.35,2016,4.49,3]
["Poland","ECA",12.034187519937516,2018,"OECD",12.096844804198565,2016,-6.2657284261048218E-2,2,11.566283374409821,2018,"OECD",11.285597231624095,2016,0.28068614278572568,2,38.981711408062644,2018,"OECD",41.157111605380976,2016,-2.1754001973183321,2]
["Portugal","ECA",10.457130184677006,2018,"OECD",10.821601101105603,2016,-0.36447091642859775,2,14.50449489622887,2018,"OECD",13.206406323560721,2016,{"$f":"J131-M131","v":1.2980885726681493},{"$f":"K131-N131","v":2},39.31620922047648,2018,"OECD",40.028307290026781,2016,-0.71209806955030075,2]
["Qatar","MENA",8.5608500000000003,"2017","UIS",12.74315,2014,-4.1822999999999997,3,6.2929834399999987,2017,"WHO",6.2929834399999987,2015,{"$f":"J132-M132","v":0},{"$f":"K132-N132","v":2},0,0,0,0.7,2010,-0.7,-2010]
["Romania","ECA",9.1,"2018","Eurostat",10.8,2016,-1.7000000000000011,2,13.3,"2018","Eurostat",11.9,2016,1.4000000000000004,2,33.299999999999997,"2018","Eurostat",34.200000000000003,2016,-0.90000000000000568,2]
["Russian Federation","ECA",9.9,2016,"Nat Budg",9.9,2016,0,0,8.7835606299999984,2017,"WHO",9.9600000000000009,2015,-1.1764393700000024,2,33.6386674005659,2018,"IMF",34.799999999999997,2016,-1.1613325994340968,2]
["Rwanda","SSA",10.76,2019,"GSW",11.25,2017,-0.49000000000000021,2,8.99,2019,"GSW",9.67,2017,-0.67999999999999972,2,7.1797173000000001,2019,"GSW",6.18,2017,0.99971730000000036,2]
["Samoa","EAP",11.88,2019,"GSW",13.71,2017,-1.83,2,{"$f":"VLOOKUP($A136,S1_source_selection,39,FALSE)","v":10.35},{"$f":"VLOOKUP($A136,S1_source_selection,40,FALSE)","v":2019},"GSW",10.24,2017,0.10999999999999943,2,{"$f":"VLOOKUP($A136,S1_source_selection,60,FALSE)","v":3.9848744963913481},{"$f":"VLOOKUP($A136,S1_source_selection,61,FALSE)","v":2018},{"$f":"VLOOKUP($A136,S1_source_selection,59,FALSE)","v":"AsDB"},5.314569536423841,2016,-1.3296950400324929,2]
["Sao Tome and Principe","SSA",{"$f":"VLOOKUP($A137,S1_source_selection,20,FALSE)","v":18.5},{"$f":"VLOOKUP($A137,S1_source_selection,21,FALSE)","v":2019},{"$f":"VLOOKUP($A137,S1_source_selection,19,FALSE)","v":"GSW"},16.079999999999998,2017,2.4200000000000017,2,13.9,2019,{"$f":"VLOOKUP($A137,S1_source_selection,38,FALSE)","v":"GSW"},13.84,2017,6.0000000000000497E-2,2,2.17,2019,"GSW",1.27,2017,0.89999999999999991,2]
["Saudi Arabia","MENA",19.25742,"2008","UIS",19.25742,2008,{"$f":"C138-F138","v":0},{"$f":"D138-G138","v":0},10.06431703,2016,"WHO",10.0873369,2015,-2.3019870000000608E-2,1,11.083115325994921,2011,"ILO",11.083115325994921,2011,{"$f":"Q138-T138","v":0},{"$f":"R138-U138","v":0}]
["Senegal","SSA",17.07,2019,"GSW",21.33,2017,-4.259999999999998,2,5.05,2019,"GSW",5.41,2017,-0.36000000000000032,2,10.983172897431144,2010,"ILO",10.983172897431144,2010,0,0]
["Serbia","ECA",9.2564600000000006,"2017","UIS",9.19163,2015,6.4830000000000609E-2,2,11.939041100000001,2017,"WHO",12,2015,-6.0958899999999261E-2,2,36.970377604021593,2014,"ILO",36.970377604021593,2014,0,0]
["Seychelles","SSA",11.72343,"2016","UIS",10.38641,2011,1.3370200000000008,5,17.89254622,2017,"WHO",10.40091001,2015,7.4916362099999994,2,16.864459311464401,2018,"IMF",13.626855409504548,2015,3.2376039019598526,3]
["Sierra Leone","SSA",16.21,2019,"GSW",14.98,2017,1.2300000000000004,2,11.22,2019,"GSW",7.49,2017,3.7300000000000004,2,2.72,2019,"GSW",2.06,2017,0.66000000000000014,2]
["Singapore","EAP",17.263962370258383,2018,"AsDB",16.389985399881034,2015,0.87397697037734901,3,13.469917198134629,2018,"AsDB",12.081598442653977,2015,1.3883187554806522,3,6.1638702536950651,2018,"AsDB",10.563456442978424,2015,-4.399586189283359,3]
["Slovak Republic","ECA",9.4803872942043128,2018,"OECD",9.2598018827286115,2016,0.22058541147570132,2,17.486047083713231,2018,"OECD",17.736890027309631,2016,-0.25084294359639969,2,34.30990199310623,2018,"OECD",36.44762260164962,2016,-2.1377206085433897,2]
["Slovenia","ECA",12.404001834893695,2018,"OECD",12.352887315178766,2016,5.1114519714928974E-2,2,15.063995430833641,2018,"OECD",14.860814197604308,2016,0.20318123322933346,2,38.269980316047388,2018,"OECD",36.955199886833235,2016,1.3147804292141529,2]
["Solomon Islands","EAP",23.99,2019,"GSW",22.76,2015,1.2299999999999969,4,10.55,2019,"GSW",14.07,2015,{"$f":"J146-M146","v":-3.5199999999999996},{"$f":"K146-N146","v":4},4.0842458400000003,2019,"GSW",3.26,2015,0.82424584000000056,4]
["South Africa","SSA",21.85,2019,"GSW",21.48,2017,0.37000000000000099,2,13.04,2019,"GSW",12.72,2017,{"$f":"J147-M147","v":0.31999999999999851},{"$f":"K147-N147","v":2},12.35,2019,"GSW",18.334567967032285,2014,-5.9845679670322856,5]
["South Sudan","SSA",9.35,2019,"GSW",3.69,2017,5.66,2,2.2000000000000002,2019,"GSW",2.6693310499999994,2015,-0.46933104999999919,4,0.22,2019,"GSW",0.48,2017,-0.26,2]
["Spain","ECA",9.5902866816750638,2018,"OECD",9.5150127215681959,2016,7.5273960106867932E-2,2,14.360404947586925,2018,"OECD",14.320608940476621,2016,3.9796007110304288E-2,2,40.501937200023129,2018,"OECD",39.888948442164001,2016,0.61298875785912799,2]
["Sri Lanka","SA",9.15,2019,"GSW",8.66,2016,0.49000000000000021,3,7.27,2019,"GSW",7.99,2016,-0.72000000000000064,3,8.69,2019,"GSW",9.9823166299619217,2015,-1.2923166299619222,4]
["St. Lucia","LAC",14.363860000000001,"2018","UIS",22.38194,2016,-8.0180799999999994,2,9.9798735600000015,2017,"WHO",12.865413120000001,2015,-2.8855395599999998,2,6.9172238232468777,2010,"ILO",6.9172238232468777,2010,0,0]
["St. Vincent and the Grenadines","LAC",18.811900000000001,"2018","UIS",20.148409999999998,2016,-1.336509999999997,2,12.068149140000003,2017,"WHO",10.92,2015,{"$f":"J152-M152","v":1.1481491400000028},{"$f":"K152-N152","v":2},13.366241721854305,2010,"ILO",13.366241721854305,2010,0,0]
["Sweden","ECA",13.82672891225706,2018,"OECD",13.408428997721323,2016,0.41829991453573712,2,14.041021776956807,2018,"OECD",13.907607442764391,2016,{"$f":"J153-M153","v":0.13341433419241611},{"$f":"K153-N153","v":2},39.233455440251589,2018,"OECD",41.678185580493562,2016,-2.4447301402419725,2]
["Switzerland","ECA",16.513865284587371,2018,"OECD",16.299148531619888,2016,0.21471675296748316,2,6.4400106263963126,2018,"OECD",22.76,2015,-16.31998937360369,3,39.432529111987805,2018,"OECD",39.609072986761689,2016,-0.17654387477388411,2]
["Tajikistan","ECA",18.23,2019,"GSW",18.03,2017,0.19999999999999929,2,7.2,2019,"GSW",7.25,2017,-4.9999999999999822E-2,2,15.22,2019,"GSW",14.863750312001475,2016,0.35624968799852574,3]
["Tanzania","SSA",13.99,2019,"GSW",16.149999999999999,2017,-2.1599999999999984,2,5.37,2019,"GSW",6.74,2017,-1.37,2,23.361155493192349,2010,"ILO",23.361155493192349,2010,0,0]
["Thailand","EAP",14.487085627268451,2018,"AsDB",18.933580784467683,2016,-4.4464951571992319,2,15.601522919999999,2017,"WHO",14.2046268,2015,{"$f":"J157-M157","v":1.3968961199999992},{"$f":"K157-N157","v":2},14.192042176776571,2018,"AsDB",23.095833333333335,2016,-8.903791156556764,2]
["Timor-Leste","EAP",7.69,2019,"GSW",7.72,2017,-2.9999999999999361E-2,2,4.55,2019,"GSW",4.8,2017,-0.25,2,9.7100000000000009,2019,"GSW",10.52,2017,-0.80999999999999872,2]
["Togo","SSA",16.36,2019,"GSW",16.64,2015,-0.28000000000000114,4,6.87,2019,"GSW",6.28,2015,{"$f":"J159-M159","v":0.58999999999999986},{"$f":"K159-N159","v":4},7.1970000000000001,2018,"GSW",8.6199999999999992,2014,-1.4229999999999992,4]
["Tonga","EAP",13.74,2019,"GSW",16.95,2017,-3.2099999999999991,2,8.6199999999999992,2019,"GSW",12.07,2017,-3.4500000000000011,2,1.32,2019,"GSW",3.4,2010,-2.08,9]
["Trinidad and Tobago","LAC",11.962365591397848,2018,"Cepal",13.946117647058825,2015,-1.9837520556609771,3,10.517473118279568,2018,"Cepal",9.2305908100000007,2015,1.2868823082795675,3,18.111559139784944,2018,"Cepal",22.211665634674926,2015,-4.1001064948899817,3]
["Tunisia","MENA",17.66,2019,"Nat Budg",20.59,2016,-2.9299999999999997,3,5.04,2019,"Nat Budget",6.01,2016,-0.96999999999999975,3,30,2011,"ILO",30,2011,0,0]
["Turkey","ECA",10.7390401950066,2018,"IMF",13.13256,2014,-2.3935198049933994,4,9.6890141200000013,2017,"WHO",10,2015,-0.31098587999999872,2,28.547391191064499,2018,"IMF",27.970619295546349,2014,0.57677189551814934,4]
["Uganda","SSA",11.47,2019,"GSW",11.8,2017,-0.33000000000000007,2,9.68,2019,"GSW",8.7799999999999994,2017,0.90000000000000036,2,8.37888521,2019,"GSW",6.7,2011,1.6788852099999998,8]
["Ukraine","ECA",13.05142,"2017","UIS",13.12135,2014,-6.9929999999999382E-2,3,8.2723819699999996,2017,"WHO",9.622243039999999,2015,-1.3498610699999993,2,44.847651061533035,2016,"ILO",44.847651061533035,2016,0,0]
["United Kingdom","ECA",11.823797057664224,2018,"OECD",11.222325074335886,2016,0.60147198332833796,2,18.329334727718884,2018,"OECD",18.269440890999402,2016,5.9893836719481897E-2,2,36.519458741453121,2018,"OECD",38.082686551772397,2016,-1.563227810319276,2]
["United States","NA",15.716597301727703,2018,"OECD",16.131199956838383,2016,-0.41460265511068073,2,24.599951613695993,2018,"OECD",24.407425785800537,2016,0.19252582789545514,2,19.933969798959009,2018,"OECD",20.584002231909924,2016,-0.65003243295091551,2]
["Uruguay","LAC",{"$f":"VLOOKUP($A168,S1_source_selection,20,FALSE)","v":16.927333827628992},{"$f":"VLOOKUP($A168,S1_source_selection,21,FALSE)","v":2018},{"$f":"VLOOKUP($A168,S1_source_selection,19,FALSE)","v":"Nat Budg"},18.2,2017,-1.2726661723710073,1,{"$f":"VLOOKUP($A168,S1_source_selection,39,FALSE)","v":12.458436298510614},{"$f":"VLOOKUP($A168,S1_source_selection,40,FALSE)","v":2018},{"$f":"VLOOKUP($A168,S1_source_selection,38,FALSE)","v":"Nat Budget"},13.7,2017,{"$f":"J168-M168","v":-1.241563701489385},{"$f":"K168-N168","v":1},{"$f":"VLOOKUP($A168,S1_source_selection,60,FALSE)","v":27.134382157120072},{"$f":"VLOOKUP($A168,S1_source_selection,61,FALSE)","v":2018},{"$f":"VLOOKUP($A168,S1_source_selection,59,FALSE)","v":"Nat Budget"},29.2,2017,-2.0656178428799272,1]
["Uzbekistan","ECA",26.51,2019,"Nat Budg",33.81,2016,-7.3000000000000007,3,11.28,2019,"Nat Budget",14.21,2016,null,null,25.543867853411527,2018,"AsDB",6.206198475893129,2016]
["Vanuatu","EAP",16.48,2019,"GSW",11.95,2017,4.5300000000000011,2,9.75,2019,"GSW",5.46,2017,4.29,2,2.3199999999999998,2010,"ILO",2.3231934187662904,2010,-3.1934187662905344E-3,0]
["Venezuela, RB","LAC",15.858668857847166,2014,"Cepal",21.436998313659359,2009,-5.5783294558121934,5,8.8468912626677625,2014,"Cepal",5.4161142599999987,2015,3.4307770026677638,-1,23.856477677348675,2014,"Cepal",18.006678108804053,2015,5.849799568544622,-1]
["Vietnam","EAP",14.468299999999997,"2018","UIS",17.010000000000002,2015,-2.5417000000000041,3,11.022283349999999,2017,"WHO",6.19,2015,4.8322833499999982,2,21.010491345162709,2015,"ILO",21.010491345162709,2015,0,0]
["Yemen, Rep.","MENA",15.76,2013,"GSW",15.76,2013,0,0,5.12,2013,"GSW",3.1729922700000004,2015,1.9470077299999997,-2,18.8,2013,"GSW",18.8,2013,0,0]
["Zambia","SSA",15.29,2019,"GSW",16.5,2017,-1.2100000000000009,2,9.3000000000000007,2019,"GSW",8.93,2017,0.37000000000000099,2,16.950613014775229,2011,"ILO",16.950613014775229,2011,0,0]
["Zimbabwe","SSA",19.039840000000002,"2018","UIS",24.99,2017,-5.9501599999999968,1,13.5,"2018","GSW",6.88,2017,6.62,1,13.61,2019,"GSW",14.064466019417473,2011,-0.45446601941747389,8]
[]
[null,null,{"$f":"SUM(C6:C175)","v":2483.0979905399963},"Check total",null,null,null,null,null,{"$f":"SUM(J6:J175)","v":1837.2718439185296},"Check total",null,null,null,null,null,{"$f":"SUM(Q6:Q175)","v":3099.0000510565692},"Check total"]
[]
[]
["Sources"]
["AsDB","Asian Development Bank\nhttps://www.adb.org/publications/key-indicators-asia-and-pacific-2017"]
[null,"Key Indicators for Asia and the Pacific 2017 - Look at individual countries at the bottom of the page"]
["Cepal  ","Cepal file: Information taken from the file sent by Rodrigo Martinez on 17 December 2019."]
[]
[]
["Eurostat","EUROSTAT New Release\nGeneral government expenditure by function (COFOG) [gov_10a_exp]\nhttp://appsso.eurostat.ec.europa.eu/nui/submitViewTableAction.do"]
["GSW ","http://www.governmentspendingwatch.org/"]
["ILO","Excel file sent by ILO by Valeria Nesterenko"]
["OECD"," http://stats.oecd.org/viewhtml.aspx?datasetcode=SNA_TABLE11&lang=en#"]
[]
["WHO","http://apps.who.int/nha/database/Select/Indicators/en "]
[null,"\"Indicators and data” – click subfolder “Health Expenditure” click “Financing Schemes” click \"Current Health Expenditure by Financing Schemes\" click \"Gov Schemes and Compulsory contribution\" and click NEXT"]
[null,"\"countries” – self explanatory "]
[null,"“years”"]
[null,"“Units of expenditure” – “percentage of general govt expenditure (GGE)”"]
[null,"\"View data and build report\""]
[]
[null,"ADD"]
[null,"http://apps.who.int/nha/database/Select/Indicators/en"]
[null,"1) Indicators and Data"]
[null,"2) Health Expenditure"]
[null,"3) Capital"]

{"sheet":"PS2a Education","index":2,"n_rows":180,"n_cols":27,"rows_kept":180,"cut":false,"hidden":false,"merged":[[179,1,179,5],[178,1,178,5],[175,1,175,5],[176,1,176,5],[177,1,177,5],[2,16,2,18],[2,20,2,22],[2,23,2,25],[164,23,168,25],[1,0,1,1],[2,1,2,2],[2,3,2,4],[2,8,2,9],[2,13,2,14]]}
["Completion Data (by quintile, GGR or GIR)",null,null,"http://tcg.uis.unesco.org/data-resources/",null,null,null,null,null,null,null,null,null,null,null,null,"http://data.uis.unesco.org/"]
["Sources instruction  at the botoom of the sheet",null,null,"Sheet 54",null,null,null,null,"Sheet 51",null,null,null,null,"Sheet 28"]
[null,"Various country groups to do comparisons with",null,"Completion rate, upper secondary education, poorest quintile, both sexes (%)",null,null,null,null,"Completion rate, upper secondary education, both sexes (%)",null,null,null,null,"Gross intake ratio to the last grade of lower secondary general education, both sexes (%)",null,null,"Gross graduation ratio from upper secondary education, both sexes (%)",null,null,null,"Final by alphabetical order \n(data shaded accrording to the data source used)",null,null,"Final using the normalised score from the data ranking source (for further explanation see below and accompanying notes)"]
["Country Name","Region","Income group","Data","Year",null,null,null,"Data","Year",null,null,null,"Data","Year",null,"Country","Data","Year",null,"Country","Data",null,"Country","Data","Final normalised combined score"]
["Afghanistan","SA","LIC",13.124510000000001,2015,{"$f":"(D5-$D$166)/($D$165-$D$166)","v":0.14091163839381576},null,"Afghanistan",24.079059999999998,2015,{"$f":"(I5-$I$166)/($I$165-$I$166)","v":0.23787099135233802},null,"Afghanistan",55.346420000000002,"2018",{"$f":"(N5-$N$166)/($N$165-$N$166)","v":0.42122058594852474},"Afghanistan",25.420010000000001,2018,{"$f":"(R5-$R$166)/($R$165-$R$166)","v":0.13745816020811319},"Afghanistan",13.124510000000001,{"$f":"F5","v":0.14091163839381576},"Ireland",93.14,1]
["Albania","ECA","UMIC",59.959470000000003,"2017",0.64375638823276793,null,"Albania",80.312110000000004,2017,0.83367633811597563,null,"Albania",96.334819999999993,"2018",0.8003823587336002,"Albania",79.542739999999995,2018,0.47670031066168878,"Albania",59.959470000000003,{"$f":"F6","v":0.64375638823276793},"Croatia",91.54,0.98282155894352596]
["Algeria","MENA","UMIC",16.700199999999999,"2013",0.17930212583208072,null,"Algeria",29.424389999999999,2013,0.29450630091168212,null,"Algeria",84.641310000000004,"2018",0.69221194999161451,"Algeria",100.99567,2015,0.61116762424195403,"Algeria",16.700199999999999,{"$f":"F7","v":0.17930212583208072},"Sweden",91.52,0.98260682843031988]
["Angola","SSA","LMIC",1.76461,"2015",1.8945780545415503E-2,null,"Angola",18.818370000000002,2015,0.18213246694958915,null,"Angola",20.73882,"2011",0.10108418228707952,"Angola",17.096329999999998,2016,8.5285198813013219E-2,"Angola",1.76461,{"$f":"F8","v":1.8945780545415503E-2},"Georgia",89.14,0.95705389735881474]
["Antigua and Barbuda","LAC","HIC",null,null,0,null,"Antigua and Barbuda",null,null,-1.7253578505466851E-2,null,"Antigua and Barbuda",98.648650000000004,"2018",0.82178636290852025,"Antigua and Barbuda",83.892619999999994,2017,0.5039654291325234,"Antigua and Barbuda",83.892619999999994,{"$f":"T9","v":0.5039654291325234},"Barbados",89.005319999999998,0.95560790208288593]
["Argentina","LAC","UMIC",46,2012,0.49388018037363107,null,"Argentina",54.987670000000001,2010,0.56535660877895877,null,"Argentina",89.817040000000006,"2017",0.74008986087022655,"Argentina",64.195300000000003,2017,0.38050230753883774,"Argentina",46,{"$f":"F10","v":0.49388018037363107},"Lithuania",88.97,0.95522868799656424]
["Armenia","ECA","UMIC",49.601500000000001,"2016",0.53254777753918836,null,"Armenia",64.707350000000005,2016,0.66833941538168795,null,"Armenia",93.292199999999994,"2018",0.77223670793700094,"Armenia",62.872900000000001,2018,0.37221348286647166,"Armenia",49.601500000000001,{"$f":"F11","v":0.53254777753918836},"Cyprus",88.35,0.94857204208718049]
["Australia","EAP","HIC",73.48,"2010",0.78891990551857427,null,"Australia",85.02,2010,0.88355778744115099,null,"Australia",null,null,-9.0759552932411378E-2,"Australia",115.43792000000001,2017,0.7016918817468536,"Australia",73.48,{"$f":"F12","v":0.78891990551857427},"Kazakhstan",88.057789999999997,0.94543472192398537]
["Austria","ECA","HIC",73.63,"2014",0.79053038436761858,null,"Austria",88.32,2014,0.91852223707210656,null,"Austria",97.673060000000007,"2017",0.81276170144548709,"Austria",101.4841,2016,0.61422911141279768,"Austria",73.63,{"$f":"F13","v":0.79053038436761858},"Czech Republic",87.82,0.94288168348722345]
["Azerbaijan","ECA","UMIC",81.599999999999994,2011,0.8761004938801803,null,"Azerbaijan",null,null,-1.7253578505466851E-2,null,"Azerbaijan",84.713099999999997,"2018",0.69287604089704724,"Azerbaijan",null,null,-2.1874875227301777E-2,"Azerbaijan",81.599999999999994,{"$f":"F14","v":0.8761004938801803},"Finland",85.91,0.92237491947605754]
["Bahamas, The","LAC","HIC",null,null,0,null,"Bahamas, The",null,null,-1.7253578505466851E-2,null,"Bahamas, The",92.243120000000005,"2010",0.76253222977748847,"Bahamas, The",null,null,-2.1874875227301777E-2,"Bahamas, The",92.243120000000005,{"$f":"P15","v":0.76253222977748847},"Slovenia",85.64,0.9194760575477775]
["Bahrain","MENA","HIC",null,null,0,null,"Bahrain",null,null,-1.7253578505466851E-2,null,"Bahrain",94.31429,"2018",0.78169151603748555,"Bahrain",82.725059999999999,2018,0.49664714409435973,"Bahrain",82.725059999999999,{"$f":"T16","v":0.49664714409435973},"United States",85.39,0.91679192613270344]
["Bangladesh","SA","LIMC",3.72722,"2014",4.001739317156968E-2,null,"Bangladesh",18.896129999999999,2014,0.18295635652634762,null,"Bangladesh",87.965869999999995,"2018",0.72296567698096637,"Bangladesh",25.58933,2016,0.13851946071743337,"Bangladesh",3.72722,{"$f":"F17","v":4.001739317156968E-2},"Seychelles",108.44749,0.91243019251975932]
["Barbados","LAC","HIC",89.005319999999998,"2012",0.95560790208288593,null,"Barbados",94.18844,2012,0.98070004761522322,null,"Barbados",null,null,-9.0759552932411378E-2,"Barbados",null,null,-2.1874875227301777E-2,"Barbados",89.005319999999998,0.95560790208288593,"Russian Federation",84.75,0.90992054971011382]
["Belarus","ECA","UMIC",77.547740000000005,"2012",0.83259330040798807,null,"Belarus",90.030929999999998,2012,0.93665003277122494,null,"Belarus",97.840890000000002,"2018",0.8143142070403997,"Belarus",105.2269,2018,0.63768904258621861,"Belarus",77.547740000000005,0.83259330040798807,"Poland",84.65,0.90884689714408418]
["Belgium","ECA","HIC",75.34,"2014",0.80888984324672542,null,"Belgium",86.18,2014,0.89584832125082037,null,"Belgium",93.552890000000005,"2017",0.7746482117416712,"Belgium",95.267070000000004,2017,0.57526066642426166,"Belgium",75.34,0.80888984324672542,"Ukraine",84.343270000000004,0.90555368262830149]
["Belize","LAC","UMIC",18.63477,"2016",0.20007268627872021,null,"Belize",49.441139999999997,2016,0.50658952732090312,null,"Belize",67.190049999999999,"2018",0.53077967454457886,"Belize",50.584099999999999,2018,0.29518708492804724,"Belize",18.63477,0.20007268627872021,"United Kingdom",82.73,0.88823276787631522]
["Benin","SSA","LIC",0.57398000000000005,"2018",6.1625509984968869E-3,null,"Benin",8.39175,2018,7.1659427612888016E-2,null,"Benin",45.847200000000001,"2016",0.33334838075692308,"Benin",null,null,-2.1874875227301777E-2,"Benin",0.57398000000000005,6.1625509984968869E-3,"Greece",82.51,0.88587073223105006]
["Bhutan","SA","LIC",6.12026,"2010",6.57103285376852E-2,null,"Bhutan",20.97946,2010,0.20502983738988054,null,"Bhutan",82.484999999999999,"2018",0.67226507911414213,"Bhutan",null,null,-2.1874875227301777E-2,"Bhutan",6.12026,6.57103285376852E-2,"Denmark",64.22,0.68949967790423017]
["Bolivia","LAC","LMIC",56.97,"2018",0.61165986686708185,null,"Bolivia",76.19,2018,0.79000139645892764,null,"Bolivia",83.099500000000006,"2018",0.67794949005422356,"Bolivia",73.595070000000007,2018,0.43942021852686458,"Bolivia",56.97,0.61165986686708185,"Israel",81.72,0.87738887695941592]
["Botswana","SSA","UMIC",null,null,0,null,"Botswana",null,null,-1.7253578505466851E-2,null,"Botswana",98.003209999999996,"2014",0.81581574257139067,"Botswana",null,null,-2.1874875227301777E-2,"Botswana",98.003209999999996,{"$f":"P25","v":0.81581574257139067},"Netherlands",81.650000000000006,0.87663732016319529]
["Brazil","LAC","UMIC",42.57,"2018",0.45705389735881469,null,"Brazil",67.319999999999993,2018,0.69602119396602591,null,"Brazil",71.750119999999995,"2011",0.57296244394333651,"Brazil",67.427279999999996,2018,0.400760410657859,"Brazil",42.57,{"$f":"F26","v":0.45705389735881469},"Azerbaijan",81.599999999999994,0.8761004938801803]
["Bulgaria","ECA","UMIC",40.97,"2014",0.43987545630234054,null,"Bulgaria",80.06,2014,0.83100516011704828,null,"Bulgaria",46.990099999999998,"2017",0.34392073757290181,"Bulgaria",82.303709999999995,2017,0.49400611545272222,"Bulgaria",40.97,{"$f":"F27","v":0.43987545630234054},"Kyrgyz Republic",81.063460000000006,0.8703399184024051]
["Burkina Faso","SSA","LIC",0.16627,"2010",1.7851621215374705E-3,null,"Burkina Faso",3.8567900000000002,2010,2.3610221401252237E-2,null,"Burkina Faso",42.974879999999999,"2018",0.30677808420458075,"Burkina Faso",19.955279999999998,2015,0.10320514383498919,"Burkina Faso",0.16627,{"$f":"F28","v":1.7851621215374705E-3},"Fiji",102.56428,0.85800776243546995]
["Burundi","SSA","LIC",1.4987999999999999,"2017",1.6091904659652136E-2,null,"Burundi",12.382759999999999,2017,0.11394532704368797,null,"Burundi",32.57291,"2018",0.21055502144396623,"Burundi",19.10144,2015,9.7853260850829307E-2,"Burundi",1.4987999999999999,{"$f":"F29","v":1.6091904659652136E-2},"Norway",79.13,0.84958127549924833]
["Cabo Verde","SSA","LMIC",null,null,0,null,"Cabo Verde",null,null,-1.7253578505466851E-2,null,"Cabo Verde",68.223200000000006,"2018",0.54033679279151947,"Cabo Verde",47.735770000000002,2015,0.27733370623851272,"Cabo Verde",47.735770000000002,{"$f":"T30","v":0.27733370623851272},"France",78.22,0.83981103714837879]
["Cambodia","EAP","LMIC",4.3530100000000003,"2014",4.673620356452652E-2,null,"Cambodia",21.229019999999998,2014,0.20767399740500211,null,"Cambodia",58.409100000000002,"2018",0.4495518010794739,"Cambodia",null,null,-2.1874875227301777E-2,"Cambodia",4.3530100000000003,{"$f":"F31","v":4.673620356452652E-2},"Belarus",77.547740000000005,0.83259330040798807]
["Cameroon","SSA","LIC",0.39541999999999999,"2014",4.2454369765943739E-3,null,"Cameroon",16.013809999999999,2014,0.15241734668989435,null,"Cameroon",47.172640000000001,"2016",0.34560931751269425,"Cameroon",24.405850000000001,2015,0.13110138886076986,"Cameroon",0.39541999999999999,4.2454369765943739E-3,"Chile",77.400000000000006,0.83100708610693585]
["Canada","NA","HIC",72.78,"2010",0.78140433755636673,null,"Canada",85.7,2010,0.89076258312268131,null,"Canada",null,null,-9.0759552932411378E-2,"Canada",88.877250000000004,2015,0.53520917091006148,"Canada",72.78,0.78140433755636673,"Slovak Republic",76.25,0.81866008159759507]
["Central African Republic","SSA","LIC",0,null,0,null,"Central African Republic",6.9378399999999996,2010,5.6254832775632695E-2,null,"Central African Republic",9.8113499999999991,"2016",0,"Central African Republic",null,null,-2.1874875227301777E-2,"Central African Republic",0,0,"Germany",76.040000000000006,0.81640541120893284]
["Chad","SSA","LIC",0.65334000000000003,"2014",7.0146016748980035E-3,null,"Chad",9.8074300000000001,2014,8.6658964598812602E-2,null,"Chad",14.996409999999999,"2016",4.7964217720061868E-2,"Chad",null,null,-2.1874875227301777E-2,"Chad",0.65334000000000003,7.0146016748980035E-3,"Botswana",98.003209999999996,0.81581574257139067]
["Chile","LAC","HIC",77.400000000000006,"2017",0.83100708610693585,null,"Chile",85.75,2017,0.89129234751102915,null,"Chile",93.814329999999998,"2017",0.77706665339533243,"Chile",91.114180000000005,2016,0.54923028447203659,"Chile",77.400000000000006,0.83100708610693585,"Belgium",75.34,0.80888984324672542]
["China","EAP","UMIC",61.14,"2014",0.6564311788705175,null,"China",60.87,2014,0.6276815878691584,null,"China",99.51549,"2011",0.82980503626783686,"China",75.496200000000002,2017,0.45133653223631354,"China",61.14,0.6564311788705175,"Italy",75.3,0.80846038222031347]
["Colombia","LAC","UMIC",50.91,"2018",0.54659652136568604,null,"Colombia",71.95,2017,0.7450773763270333,null,"Colombia",75.724689999999995,"2018",0.60972906589633724,"Colombia",76.879220000000004,2017,0.4600053240529921,"Colombia",50.91,0.54659652136568604,"Sri Lanka",95.955370000000002,0.79687226966734503]
["Congo, Dem. Rep.","SSA","LIC",6.7340799999999996,"2013",7.2300622718488292E-2,null,"Congo, Dem. Rep.",25.515879999999999,2013,0.25309451272165606,null,"Congo, Dem. Rep.",50.432389999999998,"2014",0.37576352184455764,"Congo, Dem. Rep.",null,null,-2.1874875227301777E-2,"Congo, Dem. Rep.",6.7340799999999996,7.2300622718488292E-2,"Austria",73.63,0.79053038436761858]
["Congo, Rep.","SSA","LMIC",0.40845999999999999,"2015",4.3854412712046381E-3,null,"Congo, Rep.",23.324560000000002,2015,0.2298768467321696,null,"Congo, Rep.",50.101300000000002,"2012",0.37270078528125167,"Congo, Rep.",null,null,-2.1874875227301777E-2,"Congo, Rep.",0.40845999999999999,4.3854412712046381E-3,"Australia",73.48,0.78891990551857427]
["Costa Rica","LAC","UMIC",33.4,"2018",0.35859995705389736,null,"Costa Rica",58.38,2017,0.60129932132943742,null,"Costa Rica",70.298829999999995,"2018",0.55953733612685053,"Costa Rica",65.385999999999996,2018,0.38796563447273541,"Costa Rica",33.4,0.35859995705389736,"New Zealand",73,0.78376637320163189]
["Cote d'Ivoire","SSA","LMIC",1.7561599999999999,"2016",1.8855056903586E-2,null,"Cote d'Ivoire",15.66811,2016,0.14875455570885759,null,"Cote d'Ivoire",49.357599999999998,"2018",0.36582121422162844,"Cote d'Ivoire",18.259340000000002,2017,9.2574964377296731E-2,"Cote d'Ivoire",1.7561599999999999,1.8855056903586E-2,"Canada",72.78,0.78140433755636673]
["Croatia","ECA","HIC",91.54,"2014",0.98282155894352596,null,"Croatia",94.69,2014,0.98601422014761775,null,"Croatia",95.612719999999996,"2017",0.79370259772492202,"Croatia",67.945059999999998,2017,0.40400586410527106,"Croatia",91.54,0.98282155894352596,"Iceland",71.64,0.76916469830362899]
["Cyprus","ECA","HIC",88.35,"2014",0.94857204208718049,null,"Cyprus",92.78,2014,0.9657772205127314,null,"Cyprus",98.941919999999996,"2017",0.82449924687336584,"Cyprus",87.549760000000006,2017,0.52688844203504692,"Cyprus",88.35,0.94857204208718049,"Bahamas, The",92.243120000000005,0.76253222977748847]
["Czech Republic","ECA","HIC",87.82,"2014",0.94288168348722345,null,"Czech Republic",94.42,2014,0.98315349245053962,null,"Czech Republic",95.527959999999993,"2017",0.79291852828426901,"Czech Republic",92.180319999999995,2017,0.55591286730340095,"Czech Republic",87.82,0.94288168348722345,"St. Vincent and the Grenadines",92.043599999999998,0.76068657693653641]
["Denmark","ECA","HIC",82.02,"2014",0.88060983465750475,null,"Denmark",82.1,2014,0.85261954716163879,null,"Denmark",99.398099999999999,"2017",0.82871912414374227,"Denmark",110.22766,2017,0.66903388746566617,"Denmark",82.02,0.88060983465750475,"Peru",70.3,0.75477775391883184]
[null,null,null,null,null,0,null,null,null,null,-1.7253578505466851E-2,null,"Djibouti",49.936529999999998,"2019",0.37117658611022286,"Djibouti",20.5594,2016,0.10699177780434023,"Djibouti",20.5594,{"$f":"T47","v":0.10699177780434023},"Estonia",70.25,0.75424092763581707]
["Dominican Republic","LAC","UMIC",44.21,"2018",0.47466179944170067,null,"Dominican Republic",62.76,2018,0.6477066817487056,null,"Dominican Republic",89.34666,"2018",0.73573862699228432,"Dominican Republic",52.857500000000002,2018,0.30943679304220112,"Dominican Republic",44.21,{"$f":"F48","v":0.47466179944170067},"Latvia",69.59,0.74715482070002148]
["Ecuador","LAC","UMIC",56.04,"2018",0.60167489800300622,null,"Ecuador",72.3,2018,0.74878572704546786,null,"Ecuador",96.826080000000005,"2018",0.80492674232745598,"Ecuador",84.075999999999993,2018,0.50511485795014177,"Ecuador",56.04,0.60167489800300622,"Trinidad and Tobago",67.81,0.72804380502469401]
["Egypt, Arab Rep.","MENA","LMIC ",26.921510000000001,"2014",0.28904348292892423,null,"Egypt, Arab Rep.",41.889589999999998,2014,0.42657868198434484,null,"Egypt, Arab Rep.",84.576830000000001,"2018",0.69161547998768214,"Egypt, Arab Rep.",57.158799999999999,2015,0.3363974112842219,"Egypt, Arab Rep.",26.921510000000001,0.28904348292892423,"Tajikistan",66.113889999999998,0.70983347648700879]
["El Salvador","LAC","LMIC",30.08,"2018",0.32295469186171355,null,"El Salvador",59.24,2018,0.61041126880901975,null,"El Salvador",77.421930000000003,"2018",0.62542932565865395,"El Salvador",62.033569999999997,2018,0.36695254879791672,"El Salvador",30.08,0.32295469186171355,"Hungary",65.92,0.70775177152673396]
["Estonia","ECA","HIC",70.25,"2014",0.75424092763581707,null,"Estonia",82.74,2014,0.85940053133249084,null,"Estonia",104.53543999999999,"2017",0.87624190965866056,"Estonia",88.643330000000006,2017,0.53374295655180382,"Estonia",70.25,0.75424092763581707,"Malta",65.89,0.70742967575692506]
["Eswatini","SSA","LMIC",11.72805,"2014",0.12591850977023836,null,"Eswatini",32.302030000000002,2014,0.32499572480138605,null,"Eswatini",67.448520000000002,"2017",0.53317064231623523,"Eswatini",66.282679999999999,2016,0.39358603927250646,"Eswatini",11.72805,0.12591850977023836,"Uzbekistan",64.599999999999994,0.69357955765514268]
["Ethiopia","SSA","LIC",1.6062700000000001,"2016",1.7245759072364183E-2,null,"Ethiopia",13.08728,2016,0.12140991918126397,null,"Ethiopia",29.464790000000001,"2015",0.18180346516880672,"Ethiopia",9.27698,2015,3.6273386046932025E-2,"Ethiopia",1.6062700000000001,1.7245759072364183E-2,"Jamaica",61.614359999999998,0.66152415718273561]
["Fiji","EAP","UMIC",null,null,0,null,"Fiji",null,null,-1.7253578505466851E-2,null,"Fiji",102.56428,"2016",0.85800776243546995,"Fiji",null,null,-2.1874875227301777E-2,"Fiji",102.56428,{"$f":"P55","v":0.85800776243546995},"Romania",61.27,0.65782692720635605]
["Finland","ECA","HIC",85.91,2014,0.92237491947605754,null,"Finland",89.04,2014,0.92615084426431515,null,"Finland",99.470280000000002,"2017",0.82938682273065045,"Finland",163.03003000000001,2017,1,"Finland",85.91,{"$f":"F56","v":0.92237491947605754},"China",61.14,0.6564311788705175]
["France","ECA","HIC",78.22,2014,0.83981103714837879,null,"France",86.23,2014,0.8963780856391681,null,"France",99.901750000000007,"2017",0.83337812100293185,"France",128.61913999999999,2016,0.78431198273587743,"France",78.22,0.83981103714837879,"Albania",59.959470000000003,0.64375638823276793]
["Gambia, The","SSA","LIC",11.71879,2013,0.125819089542624,null,"Gambia, The",30.187180000000001,2013,0.30258828046743869,null,"Gambia, The",59.209000000000003,"2014",0.4569512482901672,"Gambia, The",null,null,-2.1874875227301777E-2,"Gambia, The",11.71879,0.125819089542624,"Switzerland",59.33,0.63699806742538112]
["Georgia","ECA","UMIC",89.14,2013,0.95705389735881474,null,"Georgia",96.01,2013,1,null,"Georgia",101.80945,"2018",0.85102523369681804,"Georgia",98.098269999999999,2018,0.5930066739956491,"Georgia",89.14,0.95705389735881474,"St. Lucia",58.98545,0.6332987975091261]
["Germany","ECA","HIC",76.040000000000006,2014,0.81640541120893284,null,"Germany",82.67,2014,0.85865886118880397,null,"Germany",null,null,-9.0759552932411378E-2,"Germany",82.134889999999999,2017,0.49294794895152072,"Germany",76.040000000000006,0.81640541120893284,"Singapore",104.07267,0.63045431020449971]
["Ghana","SSA","LMIC",19.48705,2015,0.20922321236847755,null,"Ghana",44.847499999999997,2015,0.45791858962310228,null,"Ghana",78.176779999999994,"2019",0.63241203940661217,"Ghana",56.715330000000002,2019,0.33361773412341261,"Ghana",19.48705,0.20922321236847755,"Bolivia",56.97,0.61165986686708185]
["Greece","ECA","HIC",82.51,2014,0.88587073223105006,null,"Greece",93.05,2014,0.96863794820980953,null,"Greece",94.79083,"2017",0.78609973278180834,"Greece",98.069569999999999,2016,0.59282678192963512,"Greece",82.51,0.88587073223105006,"Ecuador",56.04,0.60167489800300622]
["Guatemala","LAC","UMIC",4.6788699999999999,2015,5.0234807816190677E-2,null,"Guatemala",34.506810000000002,2015,0.34835600336421579,null,"Guatemala",56.403779999999998,"2018",0.43100165796089962,"Guatemala",40.180410000000002,2018,0.22997658707894839,"Guatemala",4.6788699999999999,5.0234807816190677E-2,"Japan",97.9,0.59176391441625564]
["Guinea","SSA","LIC",0.85197999999999996,2014,9.147305132059266E-3,null,"Guinea",20.1692,2016,0.1964448995238266,null,"Guinea",35.411180000000002,"2014",0.2368103396521104,"Guinea",null,null,-2.1874875227301777E-2,"Guinea",0.85197999999999996,9.147305132059266E-3,"Solomon Islands",71.414699999999996,0.56985965286518825]
["Guinea-Bissau","SSA","LIC",1.87686,2014,2.0150955550783767E-2,null,"Guinea-Bissau",6.5937099999999997,2014,5.2608676396390053E-2,null,"Guinea-Bissau",36.791699999999999,"2010",0.24958079203779152,"Guinea-Bissau",null,null,-2.1874875227301777E-2,"Guinea-Bissau",1.87686,2.0150955550783767E-2,"Korea, Rep.",94.312849999999997,0.56927959997018929]
["Guyana","LAC","UMIC",26.041730000000001,2014,0.27959770238350873,null,"Guyana",56.146659999999997,2014,0.57763644134798331,null,"Guyana",79.083619999999996,"2010",0.64080073137879012,"Guyana",null,null,-2.1874875227301777E-2,"Guyana",26.041730000000001,0.27959770238350873,"Colombia",50.91,0.54659652136568604]
["Haiti","LAC","LIC",0.93940999999999997,2017,1.0085999570538974E-2,null,"Haiti",16.565660000000001,2013,0.15826435624408916,null,"Haiti",null,null,-9.0759552932411378E-2,"Haiti",null,null,-2.1874875227301777E-2,"Haiti",0.93940999999999997,1.0085999570538974E-2,"Luxembourg",50.31,0.54015460596950826]
["Honduras","LAC","LMIC",13.54,2018,0.14537255744041228,null,"Honduras",37.799999999999997,2018,0.38324829908547831,null,"Honduras",45.763669999999998,"2016",0.33257568938861548,"Honduras",43.332839999999997,2017,0.24973606950628277,"Honduras",13.54,0.14537255744041228,"Occupied Palestinian Territory",49.675910000000002,0.53334668241357097]
["Hong Kong SAR, China",null,null,null,null,{"$f":"(D69-$D$166)/($D$165-$D$166)","v":0},"No data","Hong Kong SAR, China",null,null,{"$f":"(I69-$I$166)/($I$165-$I$166)","v":-1.7253578505466851E-2},"No data","Hong Kong SAR, China",null,null,{"$f":"(N69-$N$166)/($N$165-$N$166)","v":-9.0759552932411378E-2},"Hong Kong SAR, China",null,null,{"$f":"(R69-$R$166)/($R$165-$R$166)","v":-2.1874875227301777E-2},"Hong Kong SAR, China",null,null,"Armenia",49.601500000000001,0.53254777753918836,"no data"]
["Hungary","ECA","HIC",65.92,"2014",0.70775177152673396,null,"Hungary",85.69,2014,0.89065663024501174,null,"Hungary",93.734949999999998,"2017",0.77633235145810919,"Hungary",88.461690000000004,2017,0.53260443408243863,"Hungary",65.92,{"$f":"F70","v":0.70775177152673396},"Antigua and Barbuda",83.892619999999994,0.5039654291325234]
["Iceland","ECA","HIC",71.64,"2014",0.76916469830362899,null,"Iceland",70.22,2014,0.72674752849019897,null,"Iceland",96.739609999999999,"2012",0.80412685459110311,"Iceland",null,null,-2.1874875227301777E-2,"Iceland",71.64,0.76916469830362899,"Spain",46.3,0.49710113807171996]
["India","SA","LMIC",13.47711,"2016",0.14469733734163626,null,"India",42.890569999999997,2016,0.43718435313331266,null,"India",84.48854,"2018",0.6907987564044441,"India",33.178600000000003,2016,0.18608912830760868,"India",13.47711,0.14469733734163626,"Bahrain",82.725059999999999,0.49664714409435973]
["Indonesia","EAP","LMIC",31.605789999999999,"2017",0.33933637534893707,null,"Indonesia",63.188609999999997,2017,0.65224792803850073,null,"Indonesia",89.971760000000003,"2017",0.74152109286477386,"Indonesia",67.473839999999996,null,0.40105224949387336,"Indonesia",31.605789999999999,0.33933637534893707,"Argentina",46,0.49388018037363107]
["Ireland","ECA","HIC",93.14,"2014",1,null,"Ireland",94.36,2014,0.98251777518452221,null,"Ireland",100.1122,"2017",0.83532488142984818,"Ireland",158.82902000000001,2016,0.97366800110643026,"Ireland",93.14,1,"Serbia",45.349780000000003,0.48689907665879323]
["Israel","MENA","HIC",81.72,"2012",0.87738887695941592,null,"Israel","#",2012,{"$error":"#VALUE!"},null,"Israel",102.7054,"2017",0.85931318810164448,"Israel",96.032079999999993,2015,0.58005576152605132,"Israel",81.72,0.87738887695941592,"Kiribati",45.3,0.48636461241142365]
["Italy","ECA","HIC",75.3,"2014",0.80846038222031347,null,"Italy",83.27,2014,0.86501603384897763,null,"Italy",98.97,2017,0.82475899993959445,"Italy",94.654120000000006,2016,0.57141868587153422,"Italy",75.3,0.80846038222031347,"Papua New Guinea",62.129890000000003,0.48397083994317636]
["Jamaica","LAC","UMIC",61.614359999999998,"2011",0.66152415718273561,null,"Jamaica",81.978650000000002,2011,0.85133380899111877,null,"Jamaica",82.389560000000003,"2018",0.67138221470385517,"Jamaica",75.68965,2017,0.4525490799774427,"Jamaica",61.614359999999998,0.66152415718273561,"Oman",79.901809999999998,0.47895096725205971]
["Japan","EAP","HIC",null,null,0,null,"Japan",null,null,-1.7253578505466851E-2,null,"Japan",null,null,-9.0759552932411378E-2,"Japan",97.9,2019,0.59176391441625564,"Japan",97.9,{"$f":"T78","v":0.59176391441625564},"Dominican Republic",44.21,0.47466179944170067]
["Jordan","MENA","UMIC",36.17,"2012",0.38834013313291821,null,"Jordan",58.91,2012,0.6069148238459241,null,"Jordan",59.02955,"2018",0.45529125228821832,"Jordan",null,null,-2.1874875227301777E-2,"Jordan",36.17,{"$f":"F79","v":0.38834013313291821},"Portugal",43.21,0.46392527378140436]
["Kazakhstan","ECA","UMIC",88.057789999999997,"2015",0.94543472192398537,null,"Kazakhstan",93.794560000000004,2015,0.97652677566957446,null,"Kazakhstan",117.91401999999999,"2019",1,"Kazakhstan",161.61902000000001,2019,0.99115576640883596,"Kazakhstan",88.057789999999997,{"$f":"F80","v":0.94543472192398537},"Brazil",42.57,0.45705389735881469]
["Kenya","SSA","LMIC ",11.17365,"2014",0.11996617994417007,null,"Kenya",42.323340000000002,2014,0.43117438805326214,null,"Kenya",79.200550000000007,"2016",0.64188238828883704,"Kenya",53.109850000000002,2016,0.31101852693971443,"Kenya",11.17365,{"$f":"F81","v":0.11996617994417007},"Bulgaria",40.97,0.43987545630234054]
["Kiribati","EAP","LMIC",45.3,2009,0.48636461241142365,null,"Kiribati",null,null,-1.7253578505466851E-2,null,"Kiribati",94.556150000000002,"2016",0.7839288335801512,"Kiribati",null,null,-2.1874875227301777E-2,"Kiribati",45.3,{"$f":"F82","v":0.48636461241142365},"Samoa",72.472059999999999,0.4323811736120779]
["Korea, Rep.","EAP","HIC",null,null,0,null,"Korea, Rep.",null,null,-1.7253578505466851E-2,null,"Korea, Rep.",95.770899999999997,"2017",0.79516583632948201,"Korea, Rep.",94.312849999999997,2017,0.56927959997018929,"Korea, Rep.",94.312849999999997,{"$f":"T83","v":0.56927959997018929},"Panama",40.270000000000003,0.43235988834013317]
["Kyrgyz Republic","ECA","LMIC",81.063460000000006,"2014",0.8703399184024051,null,"Kyrgyz Republic",80.577449999999999,2014,0.83648769177205973,null,"Kyrgyz Republic",95.11,"2018",0.78905220379848162,"Kyrgyz Republic",77.277889999999999,2017,0.46250419408636489,"Kyrgyz Republic",81.063460000000006,{"$f":"F84","v":0.8703399184024051},"Paraguay",38.29,0.4111015675327464]
["Lao PDR","EAP","LMIC",4.5689299999999999,"2017",4.9054434185097702E-2,null,"Lao PDR",31.09862,2017,0.31224524954975325,null,"Lao PDR",67.106470000000002,"2018",0.53000652065300524,"Lao PDR",41.557020000000001,2019,0.23860520091154508,"Lao PDR",4.5689299999999999,{"$f":"F85","v":4.9054434185097702E-2},"Mexico",37.65,0.40423019111015673]
["Latvia","ECA","HIC",69.59,"2014",0.74715482070002148,null,"Latvia",83.78,2014,0.87041963061012539,null,"Latvia",98.808570000000003,2017,0.82326569732273969,"Latvia",95.572429999999997,2018,0.57717466786252059,"Latvia",69.59,{"$f":"F86","v":0.74715482070002148},"Vanuatu",53.261069999999997,0.40193012809026829]
["Lebanon","MENA","UMIC",null,null,0,null,"Lebanon",null,null,-1.7253578505466851E-2,null,"Lebanon","No Data",null,{"$error":"#VALUE!"},"Lebanon",58,2015,0.3416700665431408,"Lebanon",58,{"$f":"T87","v":0.3416700665431408},"Malaysia",66.737610000000004,0.39643754789939661]
["Lesotho","SSA","MIC",0.43170999999999998,"2014",4.6350654928065272E-3,null,"Lesotho",10.80705,2014,9.7250226156417388E-2,null,"Lesotho",47.377800000000001,"2017",0.34750714297805974,"Lesotho",null,null,-2.1874875227301777E-2,"Lesotho",0.43170999999999998,{"$f":"F88","v":4.6350654928065272E-3},"Jordan",36.17,0.38834013313291821]
["Liberia","SSA","LIC",1.4012,"2013",1.5044019755207215E-2,null,"Liberia",12.987019999999999,2013,0.12034763562974893,null,"Liberia",44.213659999999997,"2017",0.31823737563558796,"Liberia",null,null,-2.1874875227301777E-2,"Liberia",1.4012,1.5044019755207215E-2,"North Macedonia",34.341900000000003,0.3687126905733305]
["Lithuania","ECA","HIC",88.97,"2014",0.95522868799656424,null,"Lithuania",89.04,2014,0.92615084426431515,null,"Lithuania",97.998099999999994,"2017",0.81576847269359765,"Lithuania",91.963769999999997,2017,0.55455552838718736,"Lithuania",88.97,0.95522868799656424,"Costa Rica",33.4,0.35859995705389736]
["Luxembourg","ECA","HIC",50.31,"2014",0.54015460596950826,null,"Luxembourg",69.16,2014,0.71551652345722538,null,"Luxembourg",95.334149999999994,"2017",0.79112569560030288,"Luxembourg",77.532790000000006,2016,0.46410191142528362,"Luxembourg",50.31,0.54015460596950826,"Mauritius",59.890700000000002,0.35352100484323351]
["Madagascar","SSA","LIC",0.1,2009,1.0736525660296329E-3,null,"Madagascar",null,null,-1.7253578505466851E-2,null,"Madagascar",36.996720000000003,"2018",0.25147732243801202,"Madagascar",11.063739999999999,2018,4.7472826739307125E-2,"Madagascar",0.1,1.0736525660296329E-3,"Indonesia",31.605789999999999,0.33933637534893707]
["Malawi","SSA","LIC",2.59023,"2016",2.7810070861069357E-2,null,"Malawi",14.129709999999999,2016,0.13245476500817213,null,"Malawi",21.55753,"2013",0.10865763075047084,"Malawi",13.55058,2015,6.306038023917622E-2,"Malawi",2.59023,2.7810070861069357E-2,"El Salvador",30.08,0.32295469186171355]
["Malaysia","EAP","UMIC",null,null,0,null,"Malaysia",null,null,-1.7253578505466851E-2,null,"Malaysia",81.769689999999997,"2018",0.66564812876499724,"Malaysia",66.737610000000004,2017,0.39643754789939661,"Malaysia",66.737610000000004,{"$f":"T94","v":0.39643754789939661},"Thailand",29.929169999999999,0.32133530169637103]
["Maldives","SA","UMIC",19.068290000000001,"2017",0.20472718488297187,null,"Maldives",39.65343,2017,0.402885923291388,null,"Maldives",108.18043,"2017",0.90995976325099104,"Maldives",58.120530000000002,2014,0.34242555054023721,"Maldives",19.068290000000001,{"$f":"F95","v":0.20472718488297187},"Egypt, Arab Rep.",26.921510000000001,0.28904348292892423]
["Mali","SSA","LIC",1.05087,"2015",1.1282692720635602E-2,null,"Mali",16.469889999999999,2015,0.15724964553464774,null,"Mali",29.698170000000001,"2017",0.18396233876554577,"Mali",14.57039,2018,6.9452565878260958E-2,"Mali",1.05087,{"$f":"F96","v":1.1282692720635602E-2},"Morocco",48.570079999999997,0.28256317486555577]
["Malta","MENA","HIC",65.89,"2014",0.70742967575692506,null,"Malta",75.12,2014,0.77866443854828449,null,"Malta",107.20948,"2017",0.90097802394704962,"Malta",155.72794999999999,2017,0.95423044399304968,"Malta",65.89,{"$f":"F97","v":0.70742967575692506},"Guyana",26.041730000000001,0.27959770238350873]
["Mauritania","SSA","LMIC",6.5485600000000002,"2015",7.030878247799012E-2,null,"Mauritania",24.162120000000002,2015,0.23875103595426145,null,"Mauritania",41.852269999999997,"2018",0.29639341932997587,"Mauritania",6.4818600000000002,2014,1.8753528501390653E-2,"Mauritania",6.5485600000000002,{"$f":"F98","v":7.030878247799012E-2},"Cabo Verde",47.735770000000002,0.27733370623851272]
["Mauritius","SSA","LMIC",null,null,0,null,"Mauritius",null,null,-1.7253578505466851E-2,null,"Mauritius",86.753649999999993,"2018",0.71175207790889894,"Mauritius",59.890700000000002,2017,0.35352100484323351,"Mauritius",59.890700000000002,{"$f":"T99","v":0.35352100484323351},"Philippines",25,0.26841314150740819]
["Mexico","LAC","UMIC",37.65,"2018",0.40423019111015673,null,"Mexico",58.73,2018,0.60500767204787209,null,"Mexico",97.190299999999993,"2017",0.80829594680686423,"Mexico",60.935429999999997,2017,0.36006938944695477,"Mexico",37.65,{"$f":"F100","v":0.40423019111015673},"Turkey",23.692820000000001,0.25437856989478208]
["Moldova","ECA","LMIC",22.28293,"2012",0.23924124973158686,null,"Moldova",64.597189999999998,2012,0.66717223848127993,null,"Moldova",85.101879999999994,"2018",0.69647243680475235,"Moldova",39.29457,2017,0.22442412757519098,"Moldova",22.28293,{"$f":"F101","v":0.23924124973158686},"Nepal",24.5,0.2423309717849606]
["Mongolia","EAP","LMIC",22.35041,"2014",0.23996575048314364,null,"Mongolia",63.077469999999998,2014,0.65107036775608118,null,"Mongolia",105.17241,"2018",0.88213417855451681,"Mongolia",121.40224000000001,2018,0.73907633635203096,"Mongolia",22.35041,{"$f":"F102","v":0.23996575048314364},"Mongolia",22.35041,0.23996575048314364]
["Morocco","MENA","LMIC",null,null,0,null,"Morocco",null,null,-1.7253578505466851E-2,null,"Morocco",64.918279999999996,"2018",0.50976474494108248,"Morocco",48.570079999999997,2018,0.28256317486555577,"Morocco",48.570079999999997,{"$f":"T103","v":0.28256317486555577},"Moldova",22.28293,0.23924124973158686]
["Mozambique","SSA","#",0,2011,0,null,"Mozambique",6.7298,2011,5.4050589108595129E-2,null,"Mozambique",22.817430000000002,"2017",0.12031229200906882,"Mozambique",15.2095,2016,7.3458517735759371E-2,"Mozambique",0,{"$f":"F104","v":0},"South Africa",21.091470000000001,0.22644910886837022]
["Myanmar","EAP","LMIC",1.7269600000000001,"2016",1.8541550354305346E-2,null,"Myanmar",16.533390000000001,2016,0.15792244630784949,null,"Myanmar",64.774789999999996,"2018",0.50843739567209578,"Myanmar",12.63143,2018,5.7299133114550316E-2,"Myanmar",1.7269600000000001,{"$f":"F105","v":1.8541550354305346E-2},"Vietnam",19.761579999999999,0.2121707107579987]
["Namibia","SSA","UMIC",7.21943,"2013",7.7511595447713119E-2,null,"Namibia",36.61345,2013,0.37067646038559643,null,"Namibia",76.707669999999993,"2017",0.6188220882980966,"Namibia","no data",null,{"$error":"#VALUE!"},"Namibia",7.21943,{"$f":"F106","v":7.7511595447713119E-2},"Ghana",19.48705,0.20922321236847755]
["Nepal","SA","LIC",null,null,0,null,"Nepal",24.5,2014,0.2423309717849606,null,"Nepal",99.459100000000007,"2019",0.82928340252835575,"Nepal",null,null,-2.1874875227301777E-2,"Nepal",24.5,{"$f":"K107","v":0.2423309717849606},"Maldives",19.068290000000001,0.20472718488297187]
["Netherlands","ECA","HIC",81.650000000000006,"2014",0.87663732016319529,null,"Netherlands",79.069999999999993,2014,0.82051582522776145,null,"Netherlands",null,null,-9.0759552932411378E-2,"Netherlands",116.48685,2017,0.70826659201877196,"Netherlands",81.650000000000006,{"$f":"F108","v":0.87663732016319529},"Timor-Leste",18.982759999999999,0.20380888984324672]
["New Zealand","EAP","HIC",73,null,0.78376637320163189,null,"New Zealand",null,null,-1.7253578505466851E-2,null,"New Zealand",null,null,-9.0759552932411378E-2,"New Zealand",134.3458,2017,0.8202067806020692,"New Zealand",73,0.78376637320163189,"Belize",18.63477,0.20007268627872021]
["Niger","SSA","LIC",0.36917,"2012",3.9636031780115955E-3,null,"Niger",1.62842,2012,0,null,"Niger",18.9712,"2018",8.4732874775433398E-2,"Niger",null,null,-2.1874875227301777E-2,"Niger",0.36917,3.9636031780115955E-3,"Tunisia",17.674230000000001,0.18975982392097918]
["Nigeria","SSA","LMIC",15.22884,"2016",0.16350483143654712,null,"Nigeria",59.291609999999999,2012,0.61095809161067238,null,"Nigeria",47.06915,"2010",0.34465198685656889,"Nigeria",null,null,-2.1874875227301777E-2,"Nigeria",15.22884,0.16350483143654712,"Algeria",16.700199999999999,0.17930212583208072]
["North Macedonia","ECA","UMIC",34.341900000000003,"2011",0.3687126905733305,null,"North Macedonia",74.436070000000001,2011,0.77141800338583011,null,"North Macedonia",85.256770000000003,"2017",0.69790524137840448,"North Macedonia",84.114249999999998,2017,0.50535460957122325,"North Macedonia",34.341900000000003,0.3687126905733305,"Nigeria",15.22884,0.16350483143654712]
["Norway","ECA","HIC",79.13,"2014",0.84958127549924833,null,"Norway",77.56,2014,0.80451694069965762,null,"Norway",98.491420000000005,"2017",0.82033191224601587,"Norway",105.16761,2017,0.63731741190350188,"Norway",79.13,0.84958127549924833,"Honduras",13.54,0.14537255744041228]
["Occupied Palestinian Territory","MENA","LMIC",49.675910000000002,"2014",0.53334668241357097,null,"Occupied Palestinian Territories",62.155110000000001,2014,0.64129769813135151,null,"Occupied Palestinian Territories",89.503540000000001,"2018",0.73718983999192622,"Occupied Palestinian Territories",68.463120000000004,2018,0.40725307259722965,"Occupied Palestinian Territories",49.675910000000002,0.53334668241357097,"India",13.47711,0.14469733734163626]
["Oman","MENA","HIC",null,null,0,null,"Oman",null,null,-1.7253578505466851E-2,null,"Oman",103.54893,"2018",0.86711623311431629,"Oman",79.901809999999998,2018,0.47895096725205971,"Oman",79.901809999999998,{"$f":"T115","v":0.47895096725205971},"Uruguay",13.45,0.14440627013098561]
["Pakistan","SA","LMIC",1.61771,"2018",1.7368584925917974E-2,null,"Pakistan",23.410959999999999,2018,0.2307922795952346,null,"Pakistan",48.334330000000001,"2018",0.35635549057206456,"Pakistan",null,null,-2.1874875227301777E-2,"Pakistan",1.61771,{"$f":"F116","v":1.7368584925917974E-2},"Afghanistan",13.124510000000001,0.14091163839381576]
["Panama","LAC","HIC",40.270000000000003,"2018",0.43235988834013317,null,"Panama",67.239999999999995,2018,0.69517357094466936,null,"Panama",76.804850000000002,"2017",0.6197210485180431,"Panama",39.268380000000001,2017,0.22425996822993291,"Panama",40.270000000000003,{"$f":"F117","v":0.43235988834013317},"Eswatini",11.72805,0.12591850977023836]
["Papua New Guinea","EAP","LIMC",null,null,0,null,"Papua New Guinea",null,null,-1.7253578505466851E-2,null,"Papua New Guinea",62.129890000000003,"2016",0.48397083994317636,"Papua New Guinea",15.32207,2016,7.4164108323605898E-2,"Papua New Guinea",62.129890000000003,{"$f":"P118","v":0.48397083994317636},"Gambia, The",11.71879,0.125819089542624]
["Paraguay","LAC","UMIC",38.29,"2018",0.4111015675327464,null,"Paraguay",63.62,2018,0.65681862922828793,null,"Paraguay",73.376990000000006,"2012",0.58801174846097715,"Paraguay",58.067839999999997,2016,0.34209528876468742,"Paraguay",38.29,{"$f":"F119","v":0.4111015675327464},"Kenya",11.17365,0.11996617994417007]
["Peru","LAC","UMIC",70.3,"2018",0.75477775391883184,null,"Peru",86.43,2018,0.89849714319255947,null,"Peru",97.975009999999997,"2018",0.81555487944932348,"Peru",86.00103,2015,0.51718097724766521,"Peru",70.3,0.75477775391883184,"Yemen, Rep.",10.2319,0.10985505690358599]
["Philippines","EAP","LMIC",25,2017,0.26841314150740819,null,"Philippines",78.3215,2018,0.81258525233419487,null,"Philippines",78.204319999999996,"2017",0.63266679722156727,"Philippines",74.399829999999994,2016,0.44446446727409172,"Philippines",25,0.26841314150740819,"Djibouti",20.5594,0.10699177780434023]
["Poland","ECA","HIC",84.65,"2014",0.90884689714408418,null,"Poland",92.31,2014,0.96079743526226191,null,"Poland",97.694919999999996,"2017",0.81296391661741563,"Poland",93.521090000000001,2016,0.56431683543404854,"Poland",84.65,0.90884689714408418,"Namibia",7.21943,7.7511595447713119E-2]
["Portugal","ECA","HIC",43.21,"2014",0.46392527378140436,null,"Portugal",65.12,2014,0.67271156087872241,null,"Portugal",null,null,-9.0759552932411378E-2,"Portugal",88.511489999999995,2016,0.53291658129106212,"Portugal",43.21,0.46392527378140436,"Congo, Dem. Rep.",6.7340799999999996,7.2300622718488292E-2]
["Romania","ECA","UMIC",61.27,"2014",0.65782692720635605,null,"Romania",80.89,2014,0.8397992489636219,null,"Romania",86.534580000000005,"2017",0.70972557847091111,"Romania",74.213210000000004,2016,0.44329473008386422,"Romania",61.27,0.65782692720635605,"Mauritania",6.5485600000000002,7.030878247799012E-2]
["Russian Federation","ECA","UMIC",84.75,"2013",0.90992054971011382,null,"Russian Federation",87.07,"2013",0.90527812736341129,null,"Russian Federation",95.931250000000006,"2016",0.79664914844378965,"Russian Federation",93.808279999999996,2017,0.56611694701727355,"Russian Federation",84.75,0.90992054971011382,"Bhutan",6.12026,6.57103285376852E-2]
["Rwanda","SSA","LIC",3.4929299999999999,"2015",3.7501932574618854E-2,null,"Rwanda",17.539840000000002,2015,0.16858607368090259,null,"Rwanda",36.794670000000004,"2018",0.24960826591979651,"Rwanda",24.697130000000001,2017,0.13292713663040598,"Rwanda",3.4929299999999999,3.7501932574618854E-2,"Guatemala",4.6788699999999999,5.0234807816190677E-2]
["Samoa","EAP","UMIC",null,null,0,null,"Samoa",null,null,-1.7253578505466851E-2,null,"Samoa",105.46769,"2018",0.88486565595465871,"Samoa",72.472059999999999,2015,0.4323811736120779,"Samoa",72.472059999999999,{"$f":"T127","v":0.4323811736120779},"Lao PDR",4.5689299999999999,4.9054434185097702E-2]
["Sao Tome and Principe","SSA","LMIC",1.9803299999999999,"2014",2.1261863860854626E-2,null,"Sao Tome and Principe",8.3948099999999997,2014,7.1691849193454907E-2,null,"Sao Tome and Principe",73.539450000000002,"2017",0.58951457905711313,"Sao Tome and Principe",null,null,-2.1874875227301777E-2,"Sao Tome and Principe",1.9803299999999999,{"$f":"F128","v":2.1261863860854626E-2},"Cambodia",4.3530100000000003,4.673620356452652E-2]
["Senegal","SSA","LIC",1.61686,"2017",1.7359458879106719E-2,null,"Senegal",12.0365,2017,0.11027660270150172,null,"Senegal",37.448770000000003,"2017",0.25565899528661046,"Senegal",18.915130000000001,2014,9.6685466745635329E-2,"Senegal",1.61686,{"$f":"F129","v":1.7359458879106719E-2},"Bangladesh",3.72722,4.001739317156968E-2]
["Serbia","ECA","UMIC",45.349780000000003,"2014",0.48689907665879323,null,"Serbia",75.839129999999997,2014,0.78628382784013562,null,"Serbia",97.976399999999998,"2018",0.81556773759612045,"Serbia",92.626360000000005,2017,0.55870865326594055,"Serbia",45.349780000000003,{"$f":"F130","v":0.48689907665879323},"Rwanda",3.4929299999999999,3.7501932574618854E-2]
["Seychelles","SSA","HIC",null,null,0,null,"Seychelles",null,null,-1.7253578505466851E-2,null,"Seychelles",108.44749,"2018",0.91243019251975932,"Seychelles",null,null,-2.1874875227301777E-2,"Seychelles",108.44749,{"$f":"P131","v":0.91243019251975932},"Uganda",2.9656799999999999,3.1841099420227614E-2]
["Sierra Leone","SSA","LIC",1.1031200000000001,"2017",1.1843676186386086E-2,null,"Sierra Leone",18.923400000000001,2017,0.18324529002375253,null,"Sierra Leone",51.017339999999997,"2018",0.38117458153438766,"Sierra Leone",19.545369999999998,2017,0.10063582129910777,"Sierra Leone",1.1031200000000001,{"$f":"F132","v":1.1843676186386086E-2},"Malawi",2.59023,2.7810070861069357E-2]
["Singapore","EAP","HIC",null,null,{"$f":"(D133-$D$166)/($D$165-$D$166)","v":0},null,"Singapore",null,null,{"$f":"(I133-$I$166)/($I$165-$I$166)","v":-1.7253578505466851E-2},null,"Singapore",104.63181,"2017",{"$f":"(N133-$N$166)/($N$165-$N$166)","v":0.87713337700169669},"Singapore",104.07267,2017,{"$f":"(R133-$R$166)/($R$165-$R$166)","v":0.63045431020449971},"Singapore",104.07267,{"$f":"T133","v":0.63045431020449971},"Sao Tome and Principe",1.9803299999999999,2.1261863860854626E-2]
["Slovak Republic","ECA","HIC",76.25,"2014",0.81866008159759507,null,"Slovak Republic",92.05,2014,0.95804266044285324,null,"Slovak Republic",86.687719999999999,"2015",0.71114219473025042,"Slovak Republic",73.761160000000004,2017,0.44046127334373786,"Slovak Republic",76.25,{"$f":"F134","v":0.81866008159759507},"Guinea-Bissau",1.87686,2.0150955550783767E-2]
["Slovenia","ECA","HIC",85.64,"2014",0.9194760575477775,null,"Slovenia",93.25,2014,0.97075700576320079,null,"Slovenia",97.950590000000005,"2017",0.81532898308617174,"Slovenia",105.57478,2017,0.63986956007489282,"Slovenia",85.64,{"$f":"F135","v":0.9194760575477775},"Angola",1.76461,1.8945780545415503E-2]
["Solomon Islands","EAP","LMICs",null,null,0,null,"Solomon Islands",null,null,-1.7253578505466851E-2,null,"Solomon Islands",71.414699999999996,"2018",0.56985965286518825,"Solomon Islands",3.4899200000000001,2018,0,"Solomon Islands",71.414699999999996,{"$f":"P136","v":0.56985965286518825},"Cote d'Ivoire",1.7561599999999999,1.8855056903586E-2]
["South Africa","SSA","UMIC",21.091470000000001,"2016",0.22644910886837022,null,"South Africa",48.522570000000002,2016,0.49685701383681014,null,"South Africa",80.76885,"2016",0.65638989305259532,"South Africa",57.28586,2016,0.33719382542734866,"South Africa",21.091470000000001,{"$f":"F137","v":0.22644910886837022},"Myanmar",1.7269600000000001,1.8541550354305346E-2]
["South Sudan","SSA","LIC",1.01389,2010,1.0885656001717843E-2,null,"South Sudan",5.5146600000000001,2010,4.1175831131455946E-2,null,"South Sudan",18.00301,"2011",7.5776666755779501E-2,"South Sudan",null,null,-2.1874875227301777E-2,"South Sudan",1.01389,{"$f":"F138","v":1.0885656001717843E-2},"Pakistan",1.61771,1.7368584925917974E-2]
["Spain","ECA","HIC",46.3,"2014",0.49710113807171996,null,"Spain",67.3,2014,0.69580928821068677,null,"Spain",95.340450000000004,"2017",0.79118397353182868,"Spain",92.541709999999995,2017,0.55817806569144268,"Spain",46.3,{"$f":"F139","v":0.49710113807171996},"Senegal",1.61686,1.7359458879106719E-2]
["Sri Lanka","SA","UMIC",null,null,0,null,"Sri Lanka",null,null,-1.7253578505466851E-2,null,"Sri Lanka",95.955370000000002,"2018",0.79687226966734503,"Sri Lanka",null,null,-2.1874875227301777E-2,"Sri Lanka",95.955370000000002,{"$f":"P140","v":0.79687226966734503},"Ethiopia",1.6062700000000001,1.7245759072364183E-2]
["St. Lucia","LAC","UMIC",58.98545,"2012",0.6332987975091261,null,"St. Lucia",82.691749999999999,2012,0.85888930869773528,null,"St. Lucia",86.220020000000005,"2018",0.70681575209937009,"St. Lucia",null,null,-2.1874875227301777E-2,"St. Lucia",58.98545,{"$f":"F141","v":0.6332987975091261},"Burundi",1.4987999999999999,1.6091904659652136E-2]
["St. Vincent and the Grenadines","LAC","UMIC",null,null,0,null,"St. Vincent and the Grenadines",null,null,-1.7253578505466851E-2,null,"St. Vincent and the Grenadines",92.043599999999998,"2018",0.76068657693653641,"St. Vincent and the Grenadines",null,null,-2.1874875227301777E-2,"St. Vincent and the Grenadines",92.043599999999998,{"$f":"P142","v":0.76068657693653641},"Zambia",1.4429799999999999,1.5492591797294395E-2]
["Sweden","ECA","HIC",91.52,"2014",0.98260682843031988,null,"Sweden",92.67,2014,0.96461173885836615,null,"Sweden",109.60916,"2017",0.9231761805698232,"Sweden",75.143600000000006,2017,0.44912642971099875,"Sweden",91.52,{"$f":"F143","v":0.98260682843031988},"Liberia",1.4012,1.5044019755207215E-2]
["Switzerland","ECA","HIC",59.33,"2014",0.63699806742538112,null,"Switzerland",79.2,2014,0.82189321263746584,null,"Switzerland",96.319860000000006,"2017",0.80024397177239015,"Switzerland",116.11396000000001,2017,0.70592931144399995,"Switzerland",59.33,0.63699806742538112,"Sierra Leone",1.1031200000000001,1.1843676186386086E-2]
["Tajikistan","ECA","LIC",66.113889999999998,"2017",0.70983347648700879,null,"Tajikistan",71.62809,2017,0.7416666472419724,null,"Tajikistan",96.181629999999998,"2017",0.79896527995099476,"Tajikistan",63.663179999999997,2016,0.37716697073858102,"Tajikistan",66.113889999999998,0.70983347648700879,"Mali",1.05087,1.1282692720635602E-2]
["Tanzania","SSA","LIC",0.18090999999999999,"2015",1.9423448572042086E-3,null,"Tanzania",8.2366700000000002,2015,7.0016310385988448E-2,null,"Tanzania",29.56954,"2018",0.18277245141123713,"Tanzania",null,null,-2.1874875227301777E-2,"Tanzania",0.18090999999999999,1.9423448572042086E-3,"South Sudan",1.01389,1.0885656001717843E-2]
["Thailand","EAP","UMIC",29.929169999999999,"2016",0.32133530169637103,null,"Thailand",57.43927,2016,0.59133201626842868,null,"Thailand",81.019030000000001,"2018",0.65870417446673613,"Thailand",53.96519,2018,0.31637981194823045,"Thailand",29.929169999999999,0.32133530169637103,"Haiti",0.93940999999999997,1.0085999570538974E-2]
["Timor-Leste","EAP","LMIC",18.982759999999999,"2016",0.20380888984324672,null,"Timor-Leste",51.892650000000003,2016,0.53256398123447402,null,"Timor-Leste",90.861199999999997,"2018",0.74974882674035714,"Timor-Leste",45.022910000000003,2014,0.26032945570866162,"Timor-Leste",18.982759999999999,0.20380888984324672,"Togo",0.88919000000000004,9.5468112518788915E-3]
["Togo","SSA","LIC",0.88919000000000004,"2014",9.5468112518788915E-3,null,"Togo",15.00666,2014,0.14174630261540441,null,"Togo",47.920520000000003,"2018",0.35252755551736148,"Togo",65.598410000000001,2015,0.38929702380172615,"Togo",0.88919000000000004,9.5468112518788915E-3,"Guinea",0.85197999999999996,9.147305132059266E-3]
["Trinidad and Tobago","LAC","HIC",67.81,"2011",0.72804380502469401,null,"Trinidad and Tobago",85.15,2011,0.88493517485085549,null,"Trinidad and Tobago",80.937370000000001,"2010",0.65794878146857982,"Trinidad and Tobago",null,null,-2.1874875227301777E-2,"Trinidad and Tobago",67.81,0.72804380502469401,"Zimbabwe",0.76488999999999996,8.2122611123040586E-3]
["Tunisia","MENA","LMIC",17.674230000000001,"2012",0.18975982392097918,null,"Tunisia",44.189239999999998,2012,0.45094413549762569,null,"Tunisia",77.383970000000005,"2018",0.62507817799504861,"Tunisia",null,null,-2.1874875227301777E-2,"Tunisia",17.674230000000001,0.18975982392097918,"Chad",0.65334000000000003,7.0146016748980035E-3]
["Turkey","ECA","UMIC",23.692820000000001,"2014",0.25437856989478208,null,"Turkey",55.874890000000001,2014,0.57475695999155774,null,"Turkey",87.506119999999996,"2017",0.71871277554939206,"Turkey",null,null,-2.1874875227301777E-2,"Turkey",23.692820000000001,0.25437856989478208,"Benin",0.57398000000000005,6.1625509984968869E-3]
["Uganda","SSA","LIC",2.9656799999999999,"2016",3.1841099420227614E-2,null,"Uganda",17.635429999999999,2016,0.16959887723854591,null,"Uganda",26.42558,"2017",0.1536893584589539,"Uganda",10.744960000000001,2016,4.5474708523141928E-2,"Uganda",2.9656799999999999,3.1841099420227614E-2,"Lesotho",0.43170999999999998,4.6350654928065272E-3]
["Ukraine","ECA","LMIC",84.343270000000004,"2013",0.90555368262830149,null,"Ukraine",95.287170000000003,2013,0.99234140814341099,null,"Ukraine",94.377170000000007,"2014",0.78227318529690348,"Ukraine",null,null,-2.1874875227301777E-2,"Ukraine",84.343270000000004,0.90555368262830149,"Congo, Rep.",0.40845999999999999,4.3854412712046381E-3]
["United Kingdom","ECA","HIC",82.73,"2014",0.88823276787631522,null,"United Kingdom",82.77,2014,0.85971838996549954,null,"United Kingdom",100.89521000000001,"2017",0.84256808828126084,"United Kingdom",90.754170000000002,2016,0.54697373594640253,"United Kingdom",82.73,0.88823276787631522,"Cameroon",0.39541999999999999,4.2454369765943739E-3]
["United States","NA","HIC",85.39,"2013",0.91679192613270344,null,"United States",94.27458,2014,0.9816127257034688,null,"United States",104.85226,"2017",0.87917264208182833,"United States",83.503979999999999,2016,0.501529427302012,"United States",85.39,0.91679192613270344,"Niger",0.36917,3.9636031780115955E-3]
["Uruguay","LAC","HIC",13.45,"2018",0.14440627013098561,null,"Uruguay",40.35,2018,0.41026628289121675,null,"Uruguay",74.288640000000001,"2010",0.59644493517135144,"Uruguay",null,null,-2.1874875227301777E-2,"Uruguay",13.45,0.14440627013098561,"Tanzania",0.18090999999999999,1.9423448572042086E-3]
["Uzbekistan","ECA","LMIC",64.599999999999994,2006,0.69357955765514268,null,"Uzbekistan",null,null,-1.7253578505466851E-2,null,"Uzbekistan",95.903419999999997,"2018",0.79639170799389136,"Uzbekistan",90.710139999999996,2018,0.54669775519146879,"Uzbekistan",64.599999999999994,0.69357955765514268,"Burkina Faso",0.16627,1.7851621215374705E-3]
["Vanuatu","EAP","LMIC",null,null,0,null,"Vanuatu",null,null,-1.7253578505466851E-2,null,"Vanuatu",53.261069999999997,"2013",0.40193012809026829,"Vanuatu",null,null,-2.1874875227301777E-2,"Vanuatu",53.261069999999997,{"$f":"P159","v":0.40193012809026829},"Madagascar",0.1,1.0736525660296329E-3]
["Vietnam","EAP","LMIC",19.761579999999999,"2014",0.2121707107579987,null,"Vietnam",55.106670000000001,2014,0.56661744802322656,null,"Vietnam",97.662710000000004,"2018",0.8126659591294092,"Vietnam",54.37283,2018,0.31893490608725295,"Vietnam",19.761579999999999,{"$f":"F160","v":0.2121707107579987},"Central African Republic",0,0]
["Yemen, Rep.","MENA","LIC",10.2319,"2013",0.10985505690358599,null,"Yemen, Rep.",30.602720000000001,2013,0.30699104634611968,null,"Yemen, Rep.",53.10474,"2016",0.40048400284655328,"Yemen, Rep.",null,null,-2.1874875227301777E-2,"Yemen, Rep.",10.2319,{"$f":"F161","v":0.10985505690358599},"Mozambique",0,0]
["Zambia","SSA","LMIC",1.4429799999999999,"2013",1.5492591797294395E-2,null,"Zambia",28.498270000000002,"2013",0.28469379300494868,null,"Zambia",54.76887,"2013",0.41587797970207402,"Zambia",null,null,-2.1874875227301777E-2,"Zambia",1.4429799999999999,{"$f":"F162","v":1.5492591797294395E-2},"Lebanon",58,0.34167006654314103]
["Zimbabwe","SSA","LMIC",0.76488999999999996,2015,{"$f":"(D163-$D$166)/($D$165-$D$166)","v":8.2122611123040586E-3},null,"Zimbabwe",12.549910000000001,2015,{"$f":"(I163-$I$166)/($I$165-$I$166)","v":0.11571632939393471},null,"Zimbabwe",71.127589999999998,"2013",{"$f":"(N163-$N$166)/($N$165-$N$166)","v":0.56720375176672333},"Zimbabwe",null,null,{"$f":"(R163-$R$166)/($R$165-$R$166)","v":-2.1874875227301777E-2},"Zimbabwe",0.76488999999999996,{"$f":"F163","v":8.2122611123040586E-3},"Hong Kong SAR, China","No Data"]
[]
["MAX",null,null,{"$f":"MAX(D5:D163)","v":93.14},null,null,null,null,{"$f":"MAX(I5:I163)","v":96.01},null,null,null,null,{"$f":"MAX(N5:N163)","v":117.91401999999999},null,null,null,{"$f":"MAX(R5:R163)","v":163.03003000000001},null,null,null,null,null,"Notes TO BE ADDED BEFORE GOES OUT"]
["MIN",null,null,{"$f":"MIN(D5:D163)","v":0},null,null,null,null,{"$f":"MIN(I5:I163)","v":1.62842},null,null,null,null,{"$f":"MIN(N5:N163)","v":9.8113499999999991},null,null,null,{"$f":"MIN(R5:R163)","v":3.4899200000000001}]
[]
["Sources:"]
["Completion rate, upper secondary Education, poorest quintile","http://tcg.uis.unesco.org/data-resources/",null,null,"Sheet 54",null,null,null,"look in the box on the left where it says SDG data and click on SDG data by target, excel. "]
["Completion rate, upper secondary education, both sexes (%)","http://tcg.uis.unesco.org/data-resources/",null,null,"Sheet 51",null,null,null,"look in the box on the left where it says SDG data and click on SDG data by target, excel. "]
["Gross Intake Ratio","http://tcg.uis.unesco.org/data-resources/",null,null,"Sheet 28",null,null,null,"look in the box on the left where it says SDG data and click on SDG data by target, excel. "]
["Gross Graduation Ratio","http://data.uis.unesco.org/",null,null,"Education",null,null,null,"then Completion, then Gross Graduation Ratio"]
[]
[]
["Individual Data for Countries (taken from household surveys)"]
["Argentina","Not in UIS database.  WIDE database they have this for 2012 completion lowest quintile. from EPH (Encuesta Permanente de Hogares) https://www.education-inequalities.org/countries/argentina#?dimension=wealth_quintile&group=|Quintile%201|Quintile%205&year=latest"]
["Azerbaijan","Azerbaijan (2011 DHS). www.isim.az/upload/File/docs/Demographic_and_Health_Survey-2011._Azerbaijan._Final_Report.pdf "]
["New Zealand","New Zealand – info by quintile (73%) from: /www.educationcounts.govt.nz/statistics/indicators/main/student-engagement-participation/retention_of_students_in_senior_secondary_schools "]
["Uzbekistan","DHS 2006, see also: https://www.education-inequalities.org/countries/uzbekistan#?dimension=wealth_quintile&group=|Quintile%203|Quintile%205|Quintile%204|Quintile%202|Quintile%201&year=latest"]
["Nepal","There is no data available in the UiS at all on completion rates. JW and Nepal team had various back and forth and they asked to use this. They tried also to get national data. It is old UiS data referenced, which has since been pulled.  So note, this will need dealing with in future. Link to data here https://wenr.wes.org/2018/04/education-in-nepal#:~:text=Completion%20rates%20in%20Nepal's%20school,%2Dsecondary%20level%20(2014). (accessed June 10 2020). JW forwarded to MH explanation and exchange on 24/06 \n"]

{"sheet":"PS2b_Health","index":3,"n_rows":168,"n_cols":9,"rows_kept":168,"cut":false,"hidden":false,"merged":[[0,1,0,2],[0,3,0,5],[1,1,1,2],[1,3,1,5]]}
["PS2b_Health Final","Catastrophic Out-of-Pocket Spending (COOP)",null,"UHC Service Coverage Index",null,null,null,"Source UHC:","http://apps.who.int/gho/portal/uhc-overview.jsp"]
[null," SDG 3.8.2. Proportion of the population with greater than 10% household expenditure on health ",null,"SDG Indicator 3.8.1: Coverage of essential health services (defined as the average coverage of essential services based on 4 tracer interventions)",null,null,null,"Source for COOP","https://applications.emro.who.int/docs/EMROPUB_2018_EN_20620.pdf?ua=1"]
["Country","VALUE","Country","Country",null,2017]
["Afghanistan",14.63,"Afghanistan","Afghanistan","high",37]
["Albania",16.72,"Albania","Albania","low",59]
["Algeria",8.5890145730039773,"Algeria","Algeria","medium",78]
["Angola",12.38,"Angola","Angola","low",40]
["Antigua and Barbuda",7.1548012259193623,"Antigua and Barbuda","Antigua and Barbuda","low",73]
["Argentina",6.7120725713991671,"Argentina","Argentina","low",76]
["Armenia",16.05,"Armenia","Armenia","medium",69]
["Australia",3.71,"Australia","Australia","high",87]
["Austria",8.3783442326338697,"Austria","Austria","medium",79]
["Azerbaijan",17.740567392563626,"Azerbaijan","Azerbaijan","low",65]
["Bahamas, The",2.69,"Bahamas, The","Bahamas, The","low",75]
["Bahrain",6.944481344937004,"Bahrain","Bahrain","low",77]
["Bangladesh",24.67,"Bangladesh","Bangladesh","high",48]
["Barbados",16.37,"Barbados","Barbados","medium",77]
["Belarus",9.16,"Belarus","Belarus","medium",76]
["Belgium",11.45,"Belgium","Belgium","medium",84]
["Belize",6.7720654960419733,"Belize","Belize","medium",64]
["Benin",10.92,"Benin","Benin","medium",40]
["Bhutan",1.79,"Bhutan","Bhutan","medium",62]
["Bolivia",6.02,"Bolivia","Bolivia","high",68]
["Botswana",1,"Botswana","Botswana","medium",61]
["Brazil",25.56,"Brazil","Brazil","medium",79]
["Bulgaria",12.84,"Bulgaria","Bulgaria","medium",66]
["Burkina Faso",3.13,"Burkina Faso","Burkina Faso","medium",40]
["Burundi",3.29,"Burundi","Burundi","medium",42]
["Cabo Verde",6.9932848173842626,"Cabo Verde","Cabo Verde","low",69]
["Cambodia",15.27,"Cambodia","Cambodia","medium",60]
["Cameroon",10.78,"Cameroon","Cameroon","low",46]
["Canada",2.64,"Canada","Canada","medium",89]
["Central African Republic",6.75,"Central African Republic","Central African Republic","low",33]
["Chad",9.9405061170365041,"Chad","Chad","medium",28]
["Chile",11.210132459637379,"Chile","Chile","medium",70]
["China",7.8925162791691719,"China","China","medium",79]
["Colombia",8.19,"Colombia","Colombia","high",76]
["Congo, Dem. Rep.",15.129750750723435,"Congo, Dem. Rep.","Congo, Dem. Rep.","medium",41]
["Congo, Rep.",4.82,"Congo, Rep.","Congo, Rep.","low",39]
["Costa Rica",9.84,"Costa Rica","Costa Rica","high",77]
["Cote d'Ivoire",12.43,"Cote d'Ivoire","Cote d'Ivoire","medium",47]
["Croatia",2.8,"Croatia","Croatia","high",71]
["Cyprus",16.07,"Cyprus","Cyprus","medium",78]
["Czech Republic",2.2200000000000002,"Czech Republic","Czech Republic","medium",76]
["Denmark",2.93,"Denmark","Denmark","high",81]
["Djibouti",4.8085296198693204,"Djibouti","Djibouti","medium",47]
["Dominican Republic",9.8100893445836501,"Dominican Republic","Dominican Republic","high",74]
["Ecuador",18.37,"Ecuador","Ecuador","high",77]
["Egypt, Arab Rep.",26.2,"Egypt, Arab Rep.","Egypt, Arab Rep.","high",68]
["El Salvador",1.69,"El Salvador","El Salvador","high",76]
["Estonia",7.1043400834544297,"Estonia","Estonia","high",75]
["Eswatini",13.39,"Eswatini","Eswatini","medium",63]
["Ethiopia",4.91,"Ethiopia","Ethiopia","high",39]
["Fiji",0.78,"Fiji","Fiji","low",64]
["Finland",6.35,"Finland","Finland","high",78]
["France",1.42,"France","France","high",78]
["Gambia, The",0.2,"Gambia, The","Gambia, The","low",44]
["Georgia",29.21,"Georgia","Georgia","high",66]
["Germany",1.72,"Germany","Germany","high",83]
["Ghana",1.1100000000000001,"Ghana","Ghana","high",47]
["Greece",16.89,"Greece","Greece","low",75]
["Guatemala",1.36,"Guatemala","Guatemala","medium",55]
["Guinea",6.97,"Guinea","Guinea","low",37]
["Guinea-Bissau",16.548181379185799,"Guinea-Bissau","Guinea-Bissau","low",40]
["Guyana",7.41002034,"Guyana","Guyana","medium",72]
["Haiti",11.54,"Haiti","Haiti","medium",49]
["Honduras",13.3380173789715,"Honduras","Honduras","high",65]
["Hong Kong SAR, China",7.85,"Hong Kong SAR, China","Hong Kong SAR, China","high",75]
["Hungary",7.38,"Hungary","Hungary","high",74]
["Iceland",6.8250679051064997,"Iceland","Iceland","high",84]
["India",17.329999999999998,"India","India","medium",55]
["Indonesia",2.71,"Indonesia","Indonesia","high",57]
["Ireland",6.4,"Ireland","Ireland","medium",76]
["Israel",6.72,"Israel","Israel","medium",82]
["Italy",9.2899999999999991,"Italy","Italy","high",82]
["Jamaica",5.8766156918977801,"Jamaica","Jamaica","medium",65]
["Japan",4.3600000000000003,"Japan","Japan","high",83]
["Jordan",1.72,"Jordan","Jordan","medium",76]
["Kazakhstan",2.56,"Kazakhstan","Kazakhstan","medium",76]
["Kenya",5.43,"Kenya","Kenya","high",55]
["Kiribati",3.1747642704662078,"Kiribati","Kiribati","low",41]
["Korea, Rep.",21.78,"Korea, Rep.","Korea, Rep.","high",86]
["Kyrgyz Republic",3.67,"Kyrgyz Republic","Kyrgyz Republic","medium",70]
["Lao PDR",6.2419308000991629,"Lao PDR","Lao PDR","medium",51]
["Latvia",15.46,"Latvia","Latvia","high",71]
["Lebanon",11.12396194190203,"Lebanon","Lebanon","medium",73]
["Lesotho",4.51,"Lesotho","Lesotho","low",48]
["Liberia",14.1,"Liberia","Liberia","medium",39]
["Lithuania",9.7899999999999991,"Lithuania","Lithuania","medium",73]
["Luxembourg",3.38,"Luxembourg","Luxembourg","high",83]
["Madagascar",1.64,"Madagascar","Madagascar","low",28]
["Malawi",4.21,"Malawi","Malawi","medium",46]
["Malaysia",6.4173188797222442,"Malaysia","Malaysia","medium",73]
["Maldives",19.86,"Maldives","Maldives","low",62]
["Mali",6.48,"Mali","Mali","medium",38]
["Malta",15.93,"Malta","Malta","low",82]
["Mauritania",11.66,"Mauritania","Mauritania","medium",41]
["Mauritius",10.4590458205403,"Mauritius","Mauritius","medium",63]
["Mexico",1.55,"Mexico","Mexico","high",76]
["Moldova",18.68,"Moldova","Moldova","medium",69]
["Mongolia",2.36,"Mongolia","Mongolia","high",62]
["Morocco",10.629688714394458,"Morocco","Morocco","medium",70]
["Mozambique",1.61,"Mozambique","Mozambique","low",46]
["Myanmar",14.36,"Myanmar","Myanmar","high",61]
["Namibia",1.22,"Namibia","Namibia","medium",62]
["Nepal",10.71,"Nepal","Nepal","high",48]
["Netherlands",6.0790273449461836,"Netherlands","Netherlands","high",86]
["New Zealand",6.4545071945049175,"New Zealand","New Zealand","high",87]
["Niger",6.63,"Niger","Niger","medium",37]
["Nigeria",10.734040341692644,"Nigeria","Nigeria","high",42]
["North Macedonia",5.44,"North Macedonia","North Macedonia","medium",72]
["Norway",6.7484544851063042,"Norway","Norway","high",87]
["Occupied Palestinian Territory",8.1999999999999993,"Occupied Palestinian Territory","Occupied Palestinian Territory",null,60]
["Oman",3.8241124891996465,"Oman","Oman","high",69]
["Pakistan",4.47,"Pakistan","Pakistan","high",45]
["Panama",9.530230674077572,"Panama","Panama","medium",79]
["Papua New Guinea",0.23,"Papua New Guinea","Papua New Guinea","low",40]
["Paraguay",7.1,"Paraguay","Paraguay","high",69]
["Peru",9.2100000000000009,"Peru","Peru","high",77]
["Philippines",6.31,"Philippines","Philippines","high",61]
["Poland",14.11,"Poland","Poland","medium",75]
["Portugal",18.38,"Portugal","Portugal","high",82]
["Romania",13.42,"Romania","Romania","high",74]
["Russian Federation",4.87,"Russian Federation","Russian Federation","medium",74]
["Rwanda",1.1499999999999999,"Rwanda","Rwanda","high",57]
["Samoa",4.8419657496173194,"Samoa","Samoa","low",58]
["Sao Tome and Principe",5.5269611823642038,"Sao Tome and Principe","Sao Tome and Principe","low",55]
["Senegal",3.33,"Senegal","Senegal","high",45]
["Serbia",8.0500000000000007,"Serbia","Serbia","high",65]
["Seychelles",3.48,"Seychelles","Seychelles","low",71]
["Sierra Leone",20.688485762540701,"Sierra Leone","Sierra Leone","medium",39]
["Singapore",9.01,"Singapore","Singapore","medium",86]
["Slovak Republic",3.77,"Slovak Republic","Slovak Republic","high",77]
["Slovenia",2.9,"Slovenia","Slovenia","medium",79]
["Solomon Islands",3.8386058946853354,"Solomon Islands","Solomon Islands","low",47]
["South Africa",1.41,"South Africa","South Africa","high",69]
["South Sudan",8.7200000000000006,"South Sudan","South Sudan","low",31]
["Spain",5.73,"Spain","Spain","high",83]
["Sri Lanka",5.42,"Sri Lanka","Sri Lanka","medium",66]
["St. Lucia",8.5114260427760851,"St. Lucia","St. Lucia","low",68]
["St. Vincent and the Grenadines",6.771871958644418,"St. Vincent and the Grenadines","St. Vincent and the Grenadines","low",71]
["Sweden",7.4664070545205767,"Sweden","Sweden","high",86]
["Switzerland",12.52005465614536,"Switzerland","Switzerland","medium",83]
["Tajikistan",17.73,"Tajikistan","Tajikistan","low",68]
["Tanzania",3.79,"Tanzania","Tanzania","medium",43]
["Thailand",2.2200000000000002,"Thailand","Thailand","medium",80]
["Timor-Leste",2.93,"Timor-Leste","Timor-Leste","medium",52]
["Togo",12.459057641173761,"Togo","Togo","medium",43]
["Trinidad and Tobago",3.88,"Trinidad and Tobago","Trinidad and Tobago","low",74]
["Tunisia",18.600000000000001,"Tunisia","Tunisia","medium",70]
["Turkey",3.63,"Turkey","Turkey","medium",74]
["Uganda",15.27,"Uganda","Uganda","high",45]
["Ukraine",7.76,"Ukraine","Ukraine","medium",68]
["United Kingdom",1.63,"United Kingdom","United Kingdom","high",87]
["United States",4.7699999999999996,"United States","United States","high",84]
["Uruguay",7.5911927072346366,"Uruguay","Uruguay","high",80]
["Uzbekistan",10.71006692031939,"Uzbekistan","Uzbekistan","medium",73]
["Vanuatu",3.9477559122104831,"Vanuatu","Vanuatu","low",48]
["Vietnam",9.39,"Vietnam","Vietnam","medium",75]
["Yemen, Rep.",15.83,"Yemen, Rep.","Yemen, Rep.","medium",42]
["Zambia",0.28999999999999998,"Zambia","Zambia","medium",53]
["Zimbabwe",6.8548089005860202,"Zimbabwe","Zimbabwe","medium",54]
[]
[]
["Source for COOP",null,null,"Source for UHC:"]
["https://applications.emro.who.int/docs/EMROPUB_2018_EN_20620.pdf?ua=1",null,null,"Average coverage of essential Health Services"]
["For proxy data - see source sheet",null,null,"UHC Service Coverage Index, 2017"]
[null,null,null,"http://apps.who.int/gho/portal/uhc-overview.jsp"]

{"sheet":"PS2c Social Protection","index":4,"n_rows":195,"n_cols":16384,"rows_kept":195,"cut":false,"hidden":false,"merged":[[2,1,2,10],[4,1,4,10],[5,2,5,4],[5,6,5,8]]}
["INDICATOR PS2C Social Protection Coverage - SUMMARY TABLE"]
[]
[null,"World Social Protection Report 2017 - 2019"]
[null,"https://www.social-protection.org/gimi/gess/ShowWiki.action?id=594",null,null,null,null,null,null,"TABLE B12"]
[null,"Table B.12. Old-age effective coverage: Old-age pension beneficiaries (SDG indicator 1.3.1 for older persons)"]
[null,null,"Proportion by sex (%)",null,null,null,"Proportion by type of programme (%)"]
["USE THIS COLUMN FOR COUNTRY NAMES","Country nrs = 179\nCountry data= 173","Total","Male","Female",null,"No distinction available","Contributory","Non- contributory a","Year","Statutory pensionable age (basis for reference 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ll,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Changes made "]
["Afghanistan","Afghanistan",10.7,"...","...",null,"...","...","...",2010,"60+ Men | 55+ Women"]
["Albania","Albania 26",77,100,60.8,null,"...","…","…",2011,"65+ Men | 60+ Women"]
["Algeria","Algeria 1",63.6,"...","...",null,"...",51.1,12.5,2010,"60+ Men | 55+ Women"]
["Angola","Angola 2",14.5,"...","...",null,"...",14.5,"…",2012,"60+"]
["Antigua and Barbuda","Antigua and Barbuda",83.508899999999997,86.103542234332423,81.419166057059257,null,"…","…","…",2015,"60+"]
["Argentina","Argentina",89.3,"…","…",null,"…","…","…",2015,"65+ Men | 60+ Women"]
["Armenia","Armenia",68.450599999999994,62.311958860791464,72.568293790364663,null,"...","...","...",2015,"63+"]
["Aruba","Aruba",100,100,100,null,"…","…",100,2015,"60+"]
["Australia","Australia",74.274131944444449,"...","...",null,"...","...",74.3,2014,"56+"]
["Austria","Austria",100,100,100,null,"...",94,6,2014,"65+ Men | 60+ Women"]
["Azerbaijan","Azerbaijan 27",81.1434,63.052311645031111,95.273748500381714,null,"...","...","...",2015,"63+ Men |60+ Women"]
["Bahamas, The","Bahamas, The",84.2,"…","…",null,"…",75.3,8.9,2011,"65+"]
["Bahrain","Bahrain",40.1,"...","...",null,"...","...","...",2011,"60+ Men | 55+ Women"]
["Bangladesh","Bangladesh",33.387500000000003,"...","...",null,"...","...","...",2015,"65+ (62+ for Old-age \nallowances for women)"]
["Barbados","Barbados ",68.3,"…","…",null,"…",33.200000000000003,35.1,2011,"66.5+"]
["Belarus","Belarus",100,"...","...",null,"...","...","...",2015,"60+ Men | 55+ Women"]
["Belgium","Belgium",100,100,100,null,"...","...","...",2014,"65+"]
["Belize","Belize",64.599999999999994,"…","…",null,"…",32,32.6,2011,"65+"]
["Benin","Benin",9.6999999999999993,"...","...",null,"...",9.6999999999999993,"…",2009,"60+"]
["Bhutan","Bhutan",3.2,"...","...",null,"...",3.2,"…",2012,"56+"]
["Bolivia","Bolivia",100,100,100,null,"…","…",100,2015,"60+ (Eligible age for Renta Dignidad)"]
["Bosnia and Herzegovina","Bosnia and Herzegovina",29.6,"...","...",null,"...",29.6,"…",2009,"65+"]
["Botswana","Botswana",100,100,100,null,"...","...",100,2015,"65+"]
["Brazil","Brazil 8",78.3,"…","…",null,"…","…","…",2015,"65+ Men | 60+ Women"]
["Brunei Darussalam","Brunei Darussalam",81.7,"...","...",null,"...","...",81.7,2011,"60+"]
["Bulgaria","Bulgaria",100,100,100,null,"...","...","...",2015,"63.8+ Men | 60.8+ Women"]
["Burkina Faso","Burkina Faso",2.7039800000000001,5.4140607102845966,0.69186778673370608,null,"...",2.7,"…",2015,"56–63+"]
["Burundi","Burundi 3",3.9548700000000001,6.8475960219237724,1.9645948700913427,null,"...",3.95,"...",2015,"65+  Men| 60+  Women"]
["Cabo Verde","Cabo Verde 4",85.823899999999995,"...","...",null,"...","...","...",2015,"60+"]
["Cambodia","Cambodia",3.1778499999999998,"...","...",null,"...","...","...",2015,"55+"]
["Cameroon","Cameroon",13.0037,20.2,5.9,null,"...",13,"…",2015,"60+"]
["Canada","Canada",100,100,100,null,"…","…","…",2015,"65+"]
["Central African Republic",null,1.5,null,null,null,null,null,null,2003,"Taken from WB database available here: https://www.worldbank.org/en/topic/socialprotection/brief/pensions-data (see \"active coverage\" database)"]
["Chad","Chad",1.6,"...","...",null,"...",1.6,"…",2008,"60+"]
["Chile","Chile",78.599999999999994,"…","…",null,"…","…","…",2015,"65+ Men | 60+ Women"]
["China","China 17",100,"...","...",null,"...","...","...",2015,"60+ Men | 50–60+ Women"]
["Colombia","Colombia 9",51.7,53.601374289336988,52.979610295197965,null,"…","…","…",2015,"62+ Men | 57+ Women"]
["Comoros",null,"No data "]
["Congo, Dem. Rep.","Congo, Dem. Rep.",15,"...","...",null,"...",15,"…",2009,"65+  Men| 60+  Women"]
["Congo, Rep.","Congo, Rep. 5",22.1,42.4,4.7,null,"...",22.1,"…",2011,"57–65+"]
["Cook Islands"]
["Costa Rica","Costa Rica 10",68.765199999999993,65.400000000000006,48.8,null,"…","…","…",2015,"65+"]
["Cote d'Ivoire","Cote d'Ivoire 6",7.7,"...","...",null,"...",7.7,"…",2010,"60+ "]
["Croatia","Croatia",57.6,85.1,44.2,null,"...","…","…",2010,"65+ Men | 61.5+ Women"]
["Cuba","Cuba",88,null,null,null,null,null,null,2008,"60+ Men | 55+ 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l,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Source: P.23 https://repositorio.cepal.org/bitstream/handle/11362/4057/S2013094_en.pdf "]
["Cyprus","Cyprus",100,"...","...",null,"...","...","...",2015,"65+"]
["Czech Republic","Czech Republic",100,100,100,null,"...","…","…",2014,"63+ Men | 62.3 Women"]
["Denmark","Denmark",100,100,100,null,"...","…",100,2014,"65+"]
["Djibouti","Djibouti",12,"...","...",null,"...",12,"…",2002,"60+"]
["Dominica","Dominica",38.5,"…","…",null,"…",38.5,"…",2011,"62+"]
["Dominican Republic","Dominican Republic 11",11.1,16.52,6.21,null,11.1,"…","…",2009,"60+ "]
["Ecuador","Ecuador",52,"…","…",null,52,"…","…",2015,"65+"]
["Egypt, Arab Rep.","Egypt, Arab Rep.",37.5,"…","…",null,"…","…","…",2014,"60+"]
["El Salvador","El Salvador",18.100000000000001,31.6,10.3,null,"…",15.940000000000001,2.16,2009,"60+ Men | 55+ Women"]
["Estonia","Estonia",100,"...","…",null,null,null,"…",2014,"63+ "]
["Eswatini","Eswatini",86,"...","...",null,"...","…",86,2011,"60+"]
["Ethiopia","Ethiopia",15.3,"...","...",null,"...",15.3,"…",2015,"60+"]
["Fiji","Fiji",10.6,"...","...",null,"...","...","...",2015,"55+"]
["Finland","Finland",100,100,100,null,"...","…","…",2014,"63–68+"]
["France","France",100,100,100,null,"...","…","…",2014,"61.6+"]
["Gabon 7","Gabon 7",38.799999999999997,"...","...",null,"...",38.799999999999997,"…",2010,"55+"]
["Gambia, The","Gambia, The",17.0444,"...","...",null,"...",17,"…",2015,"60+"]
["Georgia","Georgia",91.859800000000007,97.662496760666244,89.653485922305748,null,"...","...","...",2015,"65+ Men | 60+ Women"]
["Germany","Germany",100,100,100,null,"...","…","…",2015,"65.5+"]
["Ghana","Ghana",33.299999999999997,"...","...",null,"...",33.299999999999997,"…",2015,"60+"]
["Greece","Greece",77.400000000000006,100,54.6,null,"...",60.400000000000006,17,2010,"67 + "]
["Grenada","Grenada",34,"…","…",null,"…",34,"…",2010,"60+"]
["Guatemala","Guatemala",8.34023,"…","…",null,"…","…","…",2015,"60+"]
["Guinea","Guinea",8.8000000000000007,"...","...",null,"...",8.8000000000000007,"…",2008,"55–65+"]
["Guinea-Bissau","Guinea-Bissau",6.2,"...","...",null,"...",6.2,"…",2008,"60+"]
["Guyana","Guyana",100,100,100,null,"…",4.5999999999999996,100,2012,"60+ "]
["Haiti","Haiti",1,"...","...",null,"…","…","…",2001,"55+"]
["Honduras","Honduras",56.9,"...","...",null,"…","…","…",2015,"65+ Men | 60+ Women"]
["Hong Kong SAR, China","Hong Kong, China",72.900000000000006,"...","...",null,"...","...",72.900000000000006,2009,"65+"]
["Hungary","Hungary",100,100,100,null,"...","...","...",2014,"63.5+"]
["Iceland","Iceland",85.569117294452127,"...","...",null,"...","...","...",2014,"67+"]
["India","India",24.1,"...","...",null,"...",9.9000000000000021,14.2,2011,"58+"]
["Indonesia","Indonesia",14,"...","...",null,"...","...","...",2015,"56+"]
["Iran (Islamic Republic of)","Iran, Islamic Repbulic of 21",26.4,"...","...",null,"...","...","...",2010,"60+ Men | 55+ Women"]
["Iraq","Iraq",56,"...","...",null,"...","...","...",2007,"60+ Men | 55+ Women"]
["Ireland","Ireland",95.841800204568699,"...","...",null,"...","...","...",2014,"66+"]
["Israel","Israel",99.097886416547794,"...","...",null,"...","...","...",2015,"70+ Men | 68+ Women"]
["Italy","Italy",100,100,100,null,"...","...","...",2014,"66.6+ "]
["Jamaica","Jamaica",30.312200000000001,"…","…",null,"…","…","…",2015,"65+ Men | 64.8+ Women"]
["Japan","Japan",100,"...","...",null,"...","...","...",2015,"65+"]
["Jordan","Jordan",42.2,82.3,11.8,null,"...",42.2,"...",2010,"60+ Men | 55+ Women"]
["Kazakhstan","Kazakhstan",82.630099999999999,"...","...",null,"...","...","...",2015,"63+ Men | 58+ Women"]
["Kenya","Kenya",24.845199999999998,"...","...",null,"...","…","…",2015,"60+"]
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l,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Source: http://www.pension-watch.net/country-fact-file/kiribati"]
["Korea, Rep.","Korea, Rep.",77.599999999999994,"...","...",null,"...","...","...",2010,"61+"]
["Kosovo","Kosovo","...","...","...",null,"...","...","...",null,"65+"]
["Kuwait","Kuwait",27.3,"...","...",null,"...","...","...",2008,"51+"]
["Kyrgyz Republic","Kyrgyz Republic",100,100,100,null,"...","...","...",2015,"63+ Men | 58+ Women"]
["Lao PDR","Lao PDR",5.6,"...","...",null,"...","...","...",2010,"60+ Men | 55+ Women"]
["Latvia","Latvia",100,100,100,null,"...","...","...",2014,"62.8+"]
["Lebanon","Lebanon 16",0,"...","...",null,"...",0,0,2013,"60–64+"]
["Lesotho","Lesotho",94,"...","...",null,"...","…",94,2015,"70+"]
["Liberia","Liberia",0.6,null,null,null,null,null,null,null,"Liberia, 2010. The State of Food and Nutrition Insecurity in Liberia Comprehensive Food Security and Nutrition Survey 2010"]
["Libya","Libya",43.3,"...","...",null,"...",43.3,"…",2006,"65+ Men | 60+ Women"]
["Lithuania","Lithuania",100,100,100,null,"...","...","...",2014,"63.3+ Men | 61.6+ Women"]
["Luxembourg","Luxembourg",100,100,100,null,"...","...","...",2014,"65+"]
["Madagascar","Madagascar",4.5999999999999996,"...","...",null,"...",4.5999999999999996,"…",2011,"60+"]
["Malawi","Malawi",2.2623700000000002,"...","...",null,"...",2.2999999999999998,"…",2016,"…"]
["Malaysia","Malaysia 18",19.8,"...","...",null,"...",16.2,3.6,2010,"55+"]
["Maldives","Maldives",99.7,"...","...",null,"...",9.1,90.6,2012,"65+"]
["Mali","Mali",2.6965499999999998,5.2658502951773922,0.62742288353526698,null,"...",2.7,"…",2015,"58+"]
["Malta","Malta",100,"...","...",null,"...","...","...",2014,"62-65 + "]
["Marshall Islands","Marshall Islands",64.2,"...","...",null,"...",64.2,"...",2010,"60+"]
["Mauritania","Mauritania",9.3000000000000007,"...","...",null,"...",9.3000000000000007,"…",2002,"60+ "]
["Mauritius","Mauritius",100,100,100,null,"...","…",100,2010,"63+"]
["Mexico","Mexico ",25.21,34.64,17.21,null,"…",3.0199999999999996,22.19,2009,"65+"]
["Moldova","Moldova",75.2,"...","...",null,"...","…","…",2015,"62+ Men | 57+ Women"]
["Mongolia","Mongolia",100,100,100,null,"...","...","...",2015,"60+ Men | 55+ Women"]
["Montenegro","Montenegro",52.3,"...","...",null,"...","…","…",2011,"65 + Men | 60+ Women"]
["Morocco","Morocco",39.799999999999997,"...","...",null,"...",39.799999999999997,"…",2009,"60+"]
["Mozambique","Mozambique",17.3,20,15.9,null,"...",1.7,15.6,2011,"60+ Men | 55+ Women"]
["Myanmar","Myanmar",5,null,null,null,null,null,null,null,"Source: World Bank 2015, researched by DFI. See: http://documents.worldbank.org/curated/en/729301467991961477/Building-resilience-equity-and-opportunity-in-Myanmar-The-role-of-social-protection-overview"]
["Namibia","Namibia",98.4,"...","...",null,"...","…",98.4,2011,"60+"]
["Nauru","Nauru",56.5,"...","...",null,"...",15.5,41,2010,"55+"]
["Nepal","Nepal",62.5,"...","...",null,"...",9.1999999999999993,53.3,2010,"58+"]
["Netherlands","Netherlands",100,100,100,null,"...","…","…",2014,"65.5+"]
["New Zealand","New Zealand",100,100,100,null,"...","...",100,2014,"65+"]
["Nicaragua","Nicaragua 12",23.7,42.3,16.2,null,"…",23.7,"…",2011,"60+"]
["Niger","Niger",5.8386500000000003,"...","...",null,"...",5.8,"…",2015,"60+"]
["Nigeria","Nigeria",7.7638800000000003,"...","...",null,"...",7.8,"…",2015,"50+"]
["North Macedonia","North Macedonia",71.400000000000006,"...","...",null,"...","...","...",2015,"64+ Men | 62+ Women"]
["Norway","Norway",100,100,100,null,"...","…","…",2014,"62+"]
["Occupied Palestinian Territory","Occupied Palestinian Territory",8,"...","...",null,"...","...","...",2009,"65+"]
["Oman","Oman",24.7,"...","...",null,"...","...","...",2010,"60+ Men | 55+ Women"]
["Pakistan","Pakistan",2.2999999999999998,"...","...",null,"...","...","...",2010,"60+ Men | 55+ Women"]
["Palau","Palau",48,"...","...",null,"...","...","...",2010,"62+"]
["Panama","Panama 13",37.299999999999997,49.4,28.9,null,37.299999999999997,"…","…",2008,"62+ Men | 57+ Women"]
["Papua New Guinea","Papua New Guinea",0.9,"...","...",null,"...","...","...",2010,"55+"]
["Paraguay","Paraguay ",22.2,24.9,20,null,"…",4.3,17.899999999999999,2013,"60+"]
["Peru","Peru",19.302900000000001,"…","…",null,"…","…","…",2015,"65+"]
["Philippines","Philippines 19",39.799999999999997,53.2,29,null,"...",21.9,17.899999999999999,2015,"60+"]
["Poland","Poland",100,100,100,null,"...","…","…",2014,"65+ Men | 60+ Women"]
["Portugal","Portugal",100,100,100,null,"...","…","…",2014,"66+"]
["Qatar","Qatar",18.025400000000001,22.933696639418709,8.2332955832389612,null,"...","...","...",2015,"60+"]
["Romania","Romania",100,100,100,null,"...","…","…",2014,"65+ Men | 60+ Women"]
["Russian Federation","Russian Federation",91.228499999999997,"...","...",null,"...","…","…",2015,"60+ Men | 55+ Women"]
["Rwanda","Rwanda",4.7,"...","...",null,"...",4.7,"…",2004,"60+"]
["Saint Kitts and Nevis","Saint Kitts and Nevis",44.7,51.6,39.700000000000003,null,"…",36.4,8.3000000000000007,2010,"62+"]
["Samoa","Samoa 23",49.472610091019106,"...","...",null,"...",3.7,45.772610091019104,2011,"55+"]
["Sao Tome and Principe","Sao Tome and Principe",52.502699999999997,"...","...",null,"...",52.5,"…",2015,"60 + "]
["Saudi Arabia","Saudi Arabia"]
["Senegal","Senegal",23.5,"...","...",null,"...",23.5,"…",2010,"55+"]
["Serbia","Serbia",46.126015247933772,48.444323639324075,44.780047539001835,null,"...","…","…",2010,"65+ Men | 61+ Women"]
["Seychelles","Seychelles",100,100,100,null,"...",11.400000000000006,88.6,2011,"63+"]
["Sierra Leone","Sierra Leone",0.9,"...","...",null,"...",0.9,"…",2007,"60+"]
["Singapore","Singapore",0,"...","...",null,"...",0,0,2011,"55+"]
["Slovak Republic","Slovak Republic",100,100,100,null,"...","…","…",2014,"62+"]
["Slovenia","Slovenia",100,100,100,null,"...","…","…",2014,"65+ "]
["Solomon Islands","Solomon Islands",13.1,"...","...",null,"...","...","...",2010,"50+"]
["South Africa","South Africa",92.600000000000009,"...","...",null,"...","…","…",2015,"60+"]
["South Sudan","South Sudan","No data 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data"]
["Spain","Spain",100,100,100,null,"...","…","…",2014,"65+"]
["Sri Lanka","Sri Lanka 22",25.175999999999998,"...","...",null,"...","...","...",2015,"55+ Men | 50+ Women"]
["St. Lucia","St Lucia",26.5,"…","…",null,"…",26.5,"…",2008,"65+"]
["St. Vincent and the Grenadines","St Vincent and the Grenadines",76.599999999999994,"…","…",null,"…",23.3,53.3,2012,"60+"]
["Sudan","Sudan",4.5999999999999996,"...","...",null,"...",4.5999999999999996,"…",2010,"60+"]
["Suriname"]
["Sweden","Sweden",100,100,100,null,"...","…","…",2014,"61+"]
["Switzerland","Switzerland",100,100,100,null,"...","…","…",2014,"65+ Men | 64+ Women"]
["Syrian Arab Republic","Syrian Arab Republic",16.7,"...","...",null,"...","...","...",2006,"60+ Men | 55+ Women "]
["Tajikistan","Tajikistan",92.750200000000007,"...","...",null,"...","…","…",2015,"63+ Men | 58+ Women "]
["Tanzania","Tanzania",3.2,"...","...",null,"...",3.2,"…",2008,"60+"]
["Thailand","Thailand 20",83,"...","...",null,"...",8.1999999999999993,74.8,2016,"55+"]
["Timor-Leste","Timor-Leste",89.7,83.9,95.1,null,"...","...","...",2015,"60+"]
["Togo","Togo",10.9,"...","...",null,"...",10.9,"…",2009,"60+"]
["Tonga","Tonga 24",1,"...","...",null,"...","...","...",2012,"55+"]
["Trinidad and Tobago","Trinidad and Tobago",98.4,"…","…",null,"…",50.7,47.7,2009,"60+"]
["Tunisia","Tunisia",33.799999999999997,"...","...",null,"...",24.5,9.3000000000000007,2015,"60+"]
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Oxfam office partners as per email 12.6.20. \"This figure  is calculated by Policy Analytics Lab (PAL) on behalf of KEDV using government figures in Social Security Institution Statistics Yearbook 2018, and calculated by population figures from Turkish Statistical Institute (TÜİK) \"Population by province, age group and sex 2007-2019\""]
["Turkmenistan"]
["Tuvalu","Tuvalu",19.5,"...","...",null,"...","...","...",2005,"70+"]
["Uganda","Uganda",6.6,"...","...",null,"...",4.5,2.1,2012,"55+"]
["Ukraine","Ukraine",91.850300000000004,"...","...",null,"...","…","…",2015,"60+ Men | 57.5+ Women"]
["United Kingdom","United Kingdom",100,100,100,null,"...","...","...",2014,"65+ Men | 63+ Women"]
["United States","United States 15",100,100,100,null,100,"…","…",2015,"65+"]
["Uruguay","Uruguay 14",76.5,74.599999999999994,77.7,null,"…",{"$f":"C188-I188","v":66.900000000000006},9.6,2011,"60+"]
["Uzbekistan","Uzbekistan",98.1,"...","...",null,"...",97.8,0.3,2010,"60+ Men | 55+ Women"]
["Vanuatu","Vanuatu 25",3.5,"...","...",null,"...","...","...",2011,"55+"]
["Venezuela, RB","Venezuela, Bolivarian Republic of",59.4,69.952095774,50.182901999999999,null,"…",39.200000000000003,20.2,2012,"60+ Men | 55+ Women"]
["Vietnam","Viet Nam",39.902900000000002,"...","...",null,"...","...","...",2015,"60+ Men | 55+ Women"]
["Yemen, Rep.","Yemen ",8.5,"...","...",null,"...","...","...",2011,"60+ Men | 55+ Women"]
["Zambia","Zambia",8.8000000000000007,"...","...",null,"...","...","...",2015,"55+"]
["Zimbabwe","Zimbabwe",6.2,"...","...",null,"...",6.2,"…",2006,"60+"]

{"sheet":"PS3","index":5,"n_rows":185,"n_cols":27,"rows_kept":185,"cut":false,"hidden":false,"merged":[[1,21,1,24],[182,1,182,21],[183,1,183,21],[181,1,181,21],[184,1,184,21],[2,21,2,24],[4,21,4,24],[4,2,4,19],[27,21,27,22],[55,21,55,22],[58,21,58,22],[140,21,140,22]]}
["INDICATOR PS3:  Impact of spending on income Gini"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Formula amended from standard"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"GLOBAL COEFFICIENTS (MV - see sources)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,-1.2999999999999999E-3,-7.0000000000000001E-3,-1.4E-3,{"$f":"SUM(V4:X4)","v":-9.7000000000000003E-3}]
[null,null,"SPENDING AS % GDP",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INCIDENCE (NEGATIVE = LOWER GINI)"]
["Country Name","Region","Education - % GDP","Year ","Source ","CRI-2\nEducation %","CRII-2A minus CRII-2","CRI-2\nYear","Health - % GDP","Year","Source ","CRI-2\nHealth %","CRII-2A minus CRII-2","CRI-2\nYear","Social protection %  GDP","Year ","Source","CRI-2\nSP %","CRII-2A minus CRII-2","CRI-2\nYear",null,"Education","Health","Social Protection","PS3 Total Spending Incidence","Source","NOTES"]
[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27]
["Afghanistan","SA",{"$f":"VLOOKUP($A8,S2_source_selection,20,FALSE)","v":3.2186563071176502},{"$f":"VLOOKUP($A8,S2_source_selection,21,FALSE)","v":2018},{"$f":"VLOOKUP($A8,S2_source_selection,19,FALSE)","v":"AsDB"},4.12,{"$f":"C8-F8","v":-0.90134369288234994},2017,{"$f":"VLOOKUP($A8,S2_source_selection,39,FALSE)","v":1.1599999999999999},{"$f":"VLOOKUP($A8,S2_source_selection,40,FALSE)","v":2019},{"$f":"VLOOKUP($A8,S2_source_selection,38,FALSE)","v":"GSW"},1.01,{"$f":"I8-L8","v":0.14999999999999991},2017,{"$f":"VLOOKUP($A8,S2_source_selection,60,FALSE)","v":2.1596306490080903},{"$f":"VLOOKUP($A8,S2_source_selection,61,FALSE)","v":2018},{"$f":"VLOOKUP($A8,S2_source_selection,59,FALSE)","v":"AsDB"},1.84,{"$f":"O8-R8","v":0.31963064900809024},2017,null,{"$f":"C8*V$4","v":-4.1842531992529446E-3},{"$f":"I8*W$4","v":-8.1199999999999987E-3},{"$f":"O8*X$4","v":-3.0234829086113264E-3},{"$f":"SUM(V8:X8)","v":-1.5327736107864269E-2},"MV"]
["Albania","ECA",2.5099999999999998,2019,"GSW",2.4300000000000002,{"$f":"C9-F9","v":7.9999999999999627E-2},2017,2.99,2019,"GSW",2.9,{"$f":"I9-L9","v":9.0000000000000302E-2},2017,9.18,2019,"GSW",9.0457395226423891,{"$f":"O9-R9","v":0.1342604773576106},2014,null,null,null,null,-0.1,"CEQ"]
["Algeria","MENA",4.3370199999999999,"2008","UIS",4.3370199999999999,0,2008,4.2046906800000006,"2017","WHO",4.99,-0.78530931999999964,2015,4.7533486767256603,2011,"ILO",4.7533486767256603,0,2011,null,{"$f":"C10*V$4","v":-5.6381259999999994E-3},{"$f":"I10*W$4","v":-2.9432834760000005E-2},{"$f":"O10*X$4","v":-6.6546881474159247E-3},{"$f":"SUM(V10:X10)","v":-4.1725648907415931E-2},"MV"]
["Angola","SSA",2.1,2019,"GSW",2.4300000000000002,-0.33000000000000007,2017,2.38,2019,"GSW",1.54,0.83999999999999986,2017,6.9378994811285501,2014,"ILO",6.9378994811285501,0,2014,null,{"$f":"C11*V$4","v":-2.7299999999999998E-3},{"$f":"I11*W$4","v":-1.6660000000000001E-2},{"$f":"O11*X$4","v":-9.7130592735799708E-3},{"$f":"SUM(V11:X11)","v":-2.9103059273579972E-2},"MV"]
["Antigua and Barbuda","LAC",2.5172400000000001,"2009","UIS",2.5172400000000001,0,2009,2.1334242600000008,"2017","WHO",3.22,-1.0865757399999993,2015,3.0186629999999997,2011,"ILO",3.0186629999999997,0,2011,null,{"$f":"C12*V$4","v":-3.2724120000000002E-3},{"$f":"I12*W$4","v":-1.4933969820000005E-2},{"$f":"O12*X$4","v":-4.2261281999999992E-3},{"$f":"SUM(V12:X12)","v":-2.2432510020000004E-2},"MV"]
["Argentina","LAC",5.4622299999999999,2017,"UIS",6.63,-1.16777,2015,6.6539703200000009,"2017","WHO",7.1,-0.44602967999999876,2015,17.944322799999998,2019,"Nat Budget",14.13,3.8143227999999976,2015,null,null,null,null,-0.13689999999999999,"CEQ"]
["Armenia","ECA",2.16,2019,"GSW",2.29,-0.12999999999999989,2017,1.37,2019,"GSW",1.54,-0.16999999999999993,2017,6.8,2019,"GSW",7.8,-1,2016,null,-1.2999999999999999E-2,-3.0000000000000001E-3,-9.0999999999999998E-2,{"$f":"SUM(V14:X14)","v":-0.107},"CEQ"]
["Australia","EAP",5.3912742288573403,2018,"AsDB",5.363069494593101,2.8204734264239306E-2,2015,7.0154702082809051,2018,"AsDB",4.2,2.8154702082809049,2016,9.6406159940900924,2018,"AsDB",9.1999999999999993,0.44061599409009311,2016,null,{"$f":"C15*V$4","v":-7.008656497514542E-3},{"$f":"I15*W$4","v":-4.9108291457966337E-2},{"$f":"-Source_OECDEU_incidence!H4","v":-7.9000000000000015E-2},-0.1351169479554809,"OECD"]
["Austria","ECA",4.7727522313219062,2018,"OECD",4.949430649000699,-0.17667841767879278,2016,8.158634943821971,2018,"OECD",8.0044693275063192,0.15416561631565173,2016,20.109481110817573,2018,"OECD",21.575827136941438,-1.4663460261238654,2016,null,-6.2045779007184774E-3,-5.7110444606753796E-2,{"$f":"-Source_OECDEU_incidence!H5","v":-0.16299999999999998},-0.22631502250747226,"OECD"]
["Azerbaijan","ECA",2.46,2018,"AsDB",2.9,-0.43999999999999995,2016,0.89,2018,"AsDB",1.2,-0.30999999999999994,2016,6.5728518000000005,2018,"IMF",6.227771231854291,0.34508056814570942,2014,null,-3.1979999999999999E-3,-6.2300000000000003E-3,{"$f":"O17*X$4","v":-9.2019925200000005E-3},-1.8629992519999999E-2,"MV"]
["Bahamas, The",null,2.5299999999999998,2018,"Cepal",null,null,null,2.5099999999999998,2018,"Cepal",null,null,null,1.77,2018,"CEPAL",null,null,null,null,{"$f":"C18*V$4","v":-3.2889999999999994E-3},-1.7569999999999999E-2,{"$f":"O18*X$4","v":-2.4780000000000002E-3},-2.3337E-2,"MV"]
["Bahrain","MENA",2.32721,2017,"UIS",2.66452,-0.33731,2016,2.7529084999999998,"2017","WHO",3.4102502200000004,-0.65734172000000068,2015,4.008,2010,"ILO",4.008,0,2010,null,-3.025373E-3,-1.9270359499999997E-2,{"$f":"O19*X$4","v":-5.6112000000000002E-3},-2.7906932499999999E-2,"MV"]
["Bangladesh","SA",2.65,2019,"GSW",2.68,-3.0000000000000249E-2,2017,0.91,2019,"GSW",0.89,2.0000000000000018E-2,2017,1.1100000000000001,2019,"GSW",1.04,7.0000000000000062E-2,2017,null,-3.4449999999999997E-3,-6.3700000000000007E-3,{"$f":"O20*X$4","v":-1.554E-3},-1.1369000000000001E-2,"MV"]
["Barbados","LAC",5.81,2018,"Cepal",5.0927199999999999,0.7172799999999997,2016,3.31,2018,"Cepal",3.67,-0.35999999999999988,2015,4.13,2018,"CEPAL",7.3966012900534039,-3.266601290053404,2010,null,-7.552999999999999E-3,null,{"$f":"O21*X$4","v":-5.7819999999999998E-3},-1.3335E-2,"MV"]
["Belarus","ECA",4.7949900000000003,2017,"UIS",4.9794600000000004,-0.18447000000000013,2016,4.1616862699999997,"2017","WHO",5.7040361099999997,-1.54234984,2015,14.97706717534232,2014,"ILO",14.97706717534232,0,2014,null,null,null,null,-0.16800000000000001,"CEQ"]
["Belgium","ECA",6.3524348177382759,2018,"OECD",6.4078071519071118,-5.5372334168835913E-2,2016,7.7482652839251864,2018,"OECD",7.3984276015960377,0.34983768232914869,2016,19.679671302934924,2018,"OECD",20.007918723170896,-0.32824742023597153,2016,null,-8.2581652630597576E-3,{"$f":"I23*W$4","v":-5.4237856987476303E-2},{"$f":"-Source_OECDEU_incidence!H6","v":-0.17099999999999999},-0.23349602225053606,"OECD"]
["Belize","LAC",7.13,2019,"GSW",7.33,-0.20000000000000018,2017,3.55,2019,"GSW",3.38,0.16999999999999993,2017,1.99,2019,"GSW",1.84,0.14999999999999991,2017,null,-9.2689999999999995E-3,{"$f":"I24*W$4","v":-2.4850000000000001E-2},{"$f":"O24*X$4","v":-2.7859999999999998E-3},-3.6904999999999993E-2,"MV"]
["Benin","SSA",2.98,2019,"GSW",4.8600000000000003,-1.8800000000000003,2017,0.76,2019,"GSW",1.51,-0.75,2017,1.02,2019,"GSW",1.33,-0.31000000000000005,2016,null,{"$f":"Source_CEQ_Incidence!G4","v":-6.2700000000000006E-2},{"$f":"Source_CEQ_Incidence!H4","v":-8.0000000000000002E-3},{"$f":"Source_CEQ_Incidence!I4","v":-0.02},-9.0700000000000017E-2,"CEQ","New CEQ Study 2018"]
["Bhutan","SA",4.49,2019,"GSW",6.87,-2.38,2017,2.0699999999999998,2019,"GSW",2.83,-0.76000000000000023,2017,1.853961794243238,2018,"AsDB",3,-1.146038205756762,2016,null,-5.8370000000000002E-3,{"$f":"I26*W$4","v":-1.4489999999999999E-2},{"$f":"O26*X$4","v":-2.5955465119405332E-3},-2.292254651194053E-2,"MV"]
["Bolivia","LAC",9.1988767447851441,2016,"Nat Budget",8.06,1.1388767447851436,2014,5.8813370782825016,2016,"Nat Budget",4.24,1.6413370782825014,2014,4.9640714014916192,2016,"Nat Budget",5.8,-0.83592859850838064,2014,null,-3.4000000000000002E-2,-2.3699999999999999E-2,-9.9000000000000008E-3,-6.7600000000000007E-2,"CEQ"]
["Botswana","SSA",9.6329200000000004,"2009","UIS",9.6329200000000004,0,2009,5.0847490200000012,"2017","WHO",3.22991984,1.8548291800000012,2015,3.049931015883363,2010,"ILO",3.049931015883363,0,2010,null,{"$f":"Source_CEQ_Incidence!G5","v":-0.03},null,{"$f":"O28*X$4","v":-4.2699034222367085E-3},-3.4269903422236708E-2,"CEQ","New CEQ Study 2018 (only for Education & Health)"]
["Brazil","LAC",2.37,2018,"Cepal",5.55,-3.1799999999999997,2015,2.1,2018,"Cepal",5.0599999999999996,-2.9599999999999995,2015,13.239977724000001,2015,"ILO",13.21,2.9977724000000094E-2,2015,null,null,null,null,-0.11700000000000001,"IPCIG","International Policy Centre for Inclusive Growth\nEquidade Fiscal: Impactos Distributivos da Tributação e do Gasto Social no Brasil"]
["Brunei Darussalam","EAP",4.4254100000000003,2016,"UIS",4.4254100000000003,0,2016,2.2503560100000004,"2017","WHO",2.6113431199999999,-0.3609871099999995,2015,0.62002000000000002,2012,"AsDB",0.6,2.0020000000000038E-2,2012,null,{"$f":"C30*V$4","v":-5.7530330000000003E-3},{"$f":"I30*W$4","v":-1.5752492070000002E-2},{"$f":"O30*X$4","v":-8.6802799999999996E-4},-2.2373553070000003E-2,"MV"]
["Bulgaria","ECA",3.5,2018,"Eurostat",3.4,0.10000000000000009,2016,5,2018,"Eurostat",3.4,1.6,2016,12,2018,"Eurostat",13.89236854,-1.8923685399999997,2014,null,-4.5500000000000002E-3,-3.5000000000000003E-2,{"$f":"-Source_OECDEU_incidence!H7","v":-0.12200000000000005},-0.16155000000000005,"OECD"]
["Burkina Faso","SSA",5.97,2019,"GSW",6.33,-0.36000000000000032,2017,2.78,2019,"GSW",3.6,-0.82000000000000028,2017,1.41,2018,"GSW",1.84,-0.43000000000000016,2017,null,-7.7609999999999997E-3,-1.9459999999999998E-2,-1.9740000000000001E-3,-2.9194999999999999E-2,"MV"]
["Burundi","SSA",3.74,2019,"GSW",4.04,-0.29999999999999982,2017,2.4900000000000002,2019,"GSW",2.3199999999999998,0.17000000000000037,2017,0.95,2019,"GSW",2.1093500000000001,-1.1593500000000001,2010,null,-4.862E-3,-1.7430000000000001E-2,-1.33E-3,-2.3622000000000001E-2,"MV"]
["Cabo Verde","SSA",6.78,2019,"GSW",6.31,0.47000000000000064,2017,3.5,2019,"GSW",2.7,0.79999999999999982,2017,4.12,2019,"GSW",4.21,-8.9999999999999858E-2,2017,null,-8.8140000000000007E-3,-2.4500000000000001E-2,-5.7679999999999997E-3,-3.9082000000000006E-2,"MV"]
["Cambodia","EAP",2.4996700000000001,2018,"AsDB",3.03,-0.53032999999999975,2017,1.21966,2018,"AsDB",1.88,-0.66033999999999993,2017,0.90181,2018,"AsDB",0.8,0.10180999999999996,2016,null,-3.2495710000000001E-3,-8.5376199999999992E-3,-1.2625340000000001E-3,-1.3049724999999998E-2,"MV"]
["Cameroon","SSA",3.04,2019,"GSW",3.13,-8.9999999999999858E-2,2017,0.92,2019,"GSW",1.05,-0.13,2017,1.06,2019,"GSW",0.82423794038567477,0.23576205961432528,2010,null,-3.9519999999999998E-3,-6.4400000000000004E-3,-1.4840000000000001E-3,-1.1876000000000001E-2,"MV"]
["Canada","NA",5.2744400000000002,"2011","UIS",5.2744400000000002,0,2011,7.4602880000000003,"2017","WHO",7.6586243700000018,-0.19833637000000159,2015,9.801068110000001,2014,"ILO",9.801068110000001,0,2014,null,-6.8567719999999997E-3,-5.2222016000000003E-2,{"$f":"-Source_OECDEU_incidence!H8","v":-8.6000000000000021E-2},-0.14507878800000001,"OECD"]
["Central African Republic","SSA",1.92,2019,"GSW",1.88,4.0000000000000036E-2,2017,1.87,2019,"GSW",2.25,-0.37999999999999989,2017,1.06,2017,"GSW",0.88,0.18000000000000005,2017,null,-2.496E-3,-1.3090000000000001E-2,{"$f":"O38*X$4","v":-1.4840000000000001E-3},-1.7070000000000002E-2,"MV"]
["Chad","SSA",2.37,2019,"GSW",2.8507099999999999,-0.48070999999999975,2013,1.04,2019,"GSW",1.6430233400000005,-0.60302334000000046,2015,0.12086283000000009,2010,"ILO",0.12086283000000009,0,2010,null,-3.081E-3,-7.28E-3,{"$f":"O39*X$4","v":-1.6920796200000011E-4},-1.0530207962E-2,"MV"]
["Chile","LAC",5.2306829999999991,2019,"Nat Budget",5.8341887999999997,-0.60350580000000065,2017,4.91,2018,"Cepal",4.41,0.5,2015,5.74,2018,"CEPAL",6.28,-0.54,2015,null,-3.2099999999999997E-2,-1.35E-2,-1.9E-2,-6.4599999999999991E-2,"CEQ"]
["China","EAP",3.5790323100180053,2018,"AsDB",3.8,-0.22096768998199456,2016,{"$f":"VLOOKUP($A41,S2_source_selection,39,FALSE)","v":3.5633866300000001},{"$f":"VLOOKUP($A41,S2_source_selection,40,FALSE)","v":"2017"},{"$f":"VLOOKUP($A41,S2_source_selection,38,FALSE)","v":"WHO"},4,-0.43661336999999989,2015,{"$f":"VLOOKUP($A41,S2_source_selection,60,FALSE)","v":3.0083082586089889},{"$f":"VLOOKUP($A41,S2_source_selection,61,FALSE)","v":2018},{"$f":"VLOOKUP($A41,S2_source_selection,59,FALSE)","v":"AsDB"},5.7013829960912918,-2.693074737482303,2014,null,{"$f":"C41*V$4","v":-4.6527420030234067E-3},{"$f":"I41*W$4","v":-2.4943706410000002E-2},{"$f":"O41*X$4","v":-4.2116315620525846E-3},-3.380807997507599E-2,"MV"]
["Colombia","LAC",3.94,2019,"GSW",3.72,0.21999999999999975,2017,3.03,2018,"Cepal",4.92,-1.8900000000000001,2015,5.54,2018,"CEPAL",9.15,-3.6100000000000003,2015,null,-2.6800000000000001E-2,-2.6499999999999999E-2,-5.7000000000000002E-3,-5.8999999999999997E-2,"CEQ"]
["Comoros","SSA",2.4870800000000002,"2015","UIS",4.7300000000000004,-2.2429200000000002,2012,1.3892560500000002,"2017","WHO",0.38,1.0092560500000003,2013,0,0,0,0,0,0,null,{"$f":"Source_CEQ_Incidence!G7","v":-0.21099999999999999},{"$f":"Source_CEQ_Incidence!H7","v":-1.7000000000000001E-2},{"$f":"Source_CEQ_Incidence!I7","v":0},{"$f":"SUM(V43:X43)","v":-0.22799999999999998},"CEQ","New CEQ Study 2017"]
["Congo, Dem. Rep.","SSA",2.0499999999999998,2019,"GSW",2.04,9.9999999999997868E-3,2017,1.26,2019,"GSW",1.38,-0.11999999999999988,2017,0.2,2019,"GSW",0.26,-0.06,2017,null,{"$f":"C44*V$4","v":-2.6649999999999998E-3},{"$f":"I44*W$4","v":-8.8199999999999997E-3},{"$f":"O44*X$4","v":-2.8000000000000003E-4},-1.1764999999999999E-2,"MV"]
["Congo, Rep.","SSA",3.71,2019,"GSW",5.89,-2.1799999999999997,2017,2.14,2019,"GSW",3.02,-0.87999999999999989,2017,1.1599999999999999,2019,"GSW",1.97,-0.81,2017,null,{"$f":"C45*V$4","v":-4.823E-3},{"$f":"I45*W$4","v":-1.4980000000000002E-2},{"$f":"O45*X$4","v":-1.6239999999999998E-3},-2.1427000000000002E-2,"MV"]
["Costa Rica","LAC",7.9824406427913468,2017,"OECD",7.0633900000000001,0.91905064279134674,2016,6.1426160476602947,2017,"OECD",6.57,-0.42738395233970561,2015,8.6164093463604932,2017,"OECD",6.98,1.6364093463604927,2015,null,-3.9300000000000002E-2,-3.4200000000000001E-2,-9.4999999999999998E-3,-8.3000000000000004E-2,"CEQ"]
["Cote d'Ivoire","SSA",5.01,2019,"GSW",5.1100000000000003,-0.10000000000000053,2017,1.47,2019,"GSW",1.58,-0.1100000000000001,2017,2.13,2017,"GSW",2.13,0,2017,null,{"$f":"C47*V$4","v":-6.5129999999999997E-3},{"$f":"I47*W$4","v":-1.0290000000000001E-2},{"$f":"O47*X$4","v":-2.9819999999999998E-3},-1.9784999999999997E-2,"MV"]
["Croatia","ECA",5.3,2018,"Eurostat",4.8,0.5,2016,6.6,2018,"Eurostat",4.8,1.7999999999999998,2016,14.7,2018,"Eurostat",14.7,0,2016,null,null,null,null,-0.24199999999999999,"CEQ"]
["Cuba","LAC",1.74,2018,"Cepal",13.09,-11.35,2011,2.8500613300000004,"2017","WHO",10.07,-7.2199386699999994,2011,6.39,2018,"CEPAL",7.89,-1.5,2011,null,-2.2619999999999997E-3,-1.9950429310000004E-2,{"$f":"O49*X$4","v":-8.9459999999999991E-3},-3.1158429310000003E-2,"MV"]
["Cyprus","ECA",5.2,2018,"Eurostat",6,-0.79999999999999982,2016,2.7,2018,"Eurostat",6,-3.3,2016,12.5,2018,"Eurostat",13.8,-1.3000000000000007,2016,null,-6.7599999999999995E-3,-1.89E-2,{"$f":"O50*X$4","v":-1.7499999999999998E-2},-4.3159999999999997E-2,"MV"]
["Czech Republic","ECA",4.6394286977517005,2018,"OECD",4.4585229320126372,0.18090576573906336,2016,7.6002423087793023,2018,"OECD",7.4409834829172645,0.15925882586203777,2016,12.010948933875151,2018,"OECD",12.296197132346164,-0.28524819847101313,2016,null,-6.0312573070772108E-3,-5.320169616145512E-2,{"$f":"-Source_OECDEU_incidence!H12","v":-0.14800000000000002},-0.20723295346853235,"OECD"]
["Denmark","ECA",6.4,2018,"Eurostat",6.9213276914096191,-0.52132769140961877,2016,8.3000000000000007,2018,"Eurostat",8.6068862834844015,-0.30688628348440083,2016,21.9,2018,"Eurostat",23.35405975521331,-1.4540597552133114,2016,null,-8.3199999999999993E-3,-5.8100000000000006E-2,{"$f":"-Source_OECDEU_incidence!H13","v":-0.14300000000000002},-0.20942000000000002,"OECD"]
["Djibouti","MENA",4.84,2013,"GSW",6.79,-1.9500000000000002,2013,2.0699999999999998,2013,"GSW",3.38,-1.31,2015,1.9523994100000008,2007,"ILO",1.9523994100000008,0,2007,null,-6.2919999999999998E-3,-1.4489999999999999E-2,{"$f":"O53*X$4","v":-2.7333591740000013E-3},-2.3515359174000001E-2,"MV"]
["Dominican Republic","LAC",4.07,2019,"GSW",4.2300000000000004,-0.16000000000000014,2017,1.67,2019,"GSW",2.02,-0.35000000000000009,2017,1.42,2019,"GSW",1.76,-0.34000000000000008,2017,null,null,null,null,-3.9800000000000002E-2,"CEQ"]
["Ecuador","LAC",5.04,2019,"GSW",5.08,-4.0000000000000036E-2,2017,2.94,2019,"GSW",2.72,0.21999999999999975,2017,1.4,2018,"CEPAL",4.4692262044850706,-3.0692262044850707,2014,null,-2.8299999999999999E-2,-1.1900000000000001E-2,-1.5699999999999999E-2,{"$f":"SUM(V55:X55)","v":-5.5899999999999998E-2},"CEQ"]
["Egypt, Arab Rep.","MENA",2.4,2019,"Nat Budget",3.4857134000000003,-1.0857134000000004,2017,1.19,2019,"Nat Budget",1.6414897999999998,-0.45148979999999983,2017,4.4000000000000004,2019,"Nat Budget",6.2847477999999999,-1.8847477999999995,2017,null,{"$f":"Source_CEQ_Incidence!G9","v":-1.7999999999999999E-2},null,{"$f":"Source_CEQ_Incidence!I9","v":-1.4999999999999999E-2},{"$f":"SUM(V56:X56)","v":-3.3000000000000002E-2},"CEQ","New CEQ Study 2019"]
["El Salvador","LAC",3.71,2019,"GSW",3.37,0.33999999999999986,2017,2.76,2019,"GSW",2.52,0.23999999999999977,2017,4.3449284999999991,2017,"IMF",5.65,-1.3050715000000013,2015,null,-1.41E-2,-1.0500000000000001E-2,-5.7000000000000002E-3,{"$f":"SUM(V57:X57)","v":-3.0300000000000001E-2},"CEQ"]
["Estonia","ECA",6.1898909202642489,2018,"OECD",5.9199924163427813,0.26989850392146764,2016,5.1378860039944696,2018,"OECD",5.3095080102379368,-0.17162200624346724,2016,13.033492087878324,2018,"OECD",13.53114039245426,-0.4976483045759359,2016,null,{"$f":"C58*V$4","v":-8.0468581963435235E-3},{"$f":"I58*W$4","v":-3.5965202027961288E-2},{"$f":"-Source_OECDEU_incidence!H14","v":-0.11199999999999999},{"$f":"SUM(V58:X58)","v":-0.1560120602243048},"OECD"]
["Eswatini","SSA",6.17,2019,"GSW",5.88,0.29000000000000004,2017,4.5199999999999996,2019,"GSW",3.39,1.1299999999999994,2017,3.22,2019,"GSW",2.52,0.70000000000000018,2015,null,{"$f":"Source_CEQ_Incidence!G10","v":-3.5999999999999997E-2},null,{"$f":"Source_CEQ_Incidence!I10","v":-1.4999999999999999E-2},{"$f":"SUM(V59:X59)","v":-5.0999999999999997E-2},"CEQ","New CEQ Study 2018 & 2020"]
["Ethiopia","SSA",3.83,2019,"GSW",4.54,-0.71,2017,1.55,2019,"GSW",1.61,-6.0000000000000053E-2,2017,1.5,2016,"GSW",1.3,0.19999999999999996,2017,null,null,null,null,-1.1299999999999999E-2,"CEQ"]
["Fiji","EAP",5.37,2019,"GSW",5.15,0.21999999999999975,2017,2.48,2019,"GSW",2.2200000000000002,0.25999999999999979,2017,1.35,2019,"GSW",1.33,2.0000000000000018E-2,2016,null,{"$f":"C61*V$4","v":-6.9810000000000002E-3},{"$f":"I61*W$4","v":-1.736E-2},{"$f":"O61*X$4","v":-1.8900000000000002E-3},{"$f":"SUM(V61:X61)","v":-2.6231000000000001E-2},"MV"]
["Finland","ECA",5.5485661105749342,2018,"OECD",6.0540475407024976,-0.50548143012756341,2016,7.070350199917276,2018,"OECD",7.2224050275057587,-0.15205482758848277,2016,24.377843650903074,2018,"OECD",25.62229750710237,-1.2444538561992964,2016,null,{"$f":"C62*V$4","v":-7.2131359437474143E-3},{"$f":"I62*W$4","v":-4.9492451399420934E-2},{"$f":"-Source_OECDEU_incidence!H15","v":-0.19700000000000001},{"$f":"SUM(V62:X62)","v":-0.25370558734316834},"OECD"]
["France","ECA",5.123008469714291,2018,"OECD",5.3947830659391789,-0.27177459622488787,2016,8.1254435656944697,2018,"OECD",8.0901107608069971,3.5332804887472591E-2,2016,23.891946334394348,2018,"OECD",24.412423049123387,-0.520476714729039,2016,null,{"$f":"C63*V$4","v":-6.659911010628578E-3},{"$f":"I63*W$4","v":-5.6878104959861286E-2},{"$f":"-Source_OECDEU_incidence!H16","v":-0.192},{"$f":"SUM(V63:X63)","v":-0.25553801597048986},"OECD"]
["Gambia, The","SSA",4.9800000000000004,2019,"GSW",3.04,1.9400000000000004,2015,2.4,2019,"GSW",3.8900874099999996,-1.4900874099999997,2015,0.02,2014,"GSW",0.43,-0.41,2014,null,{"$f":"C64*V$4","v":-6.4740000000000006E-3},{"$f":"I64*W$4","v":-1.6799999999999999E-2},{"$f":"O64*X$4","v":-2.8E-5},{"$f":"SUM(V64:X64)","v":-2.3302E-2},"MV"]
["Georgia","ECA",3.8229433678897715,2018,"AsDB",3.78477,3.8173367889771548E-2,2016,2.9651923536134182,2018,"AsDB",3.6708283899999996,-0.70563603638658146,2015,7.1013177217450369,2018,"AsDB",7.8,-0.69868227825496287,2016,null,null,null,null,-8.4599999999999995E-2,"CEQ"]
["Germany","ECA",4.1679897858191524,2018,"OECD",4.2090615607258153,-4.1071774906662917E-2,2016,7.2410050323379282,2018,"OECD",7.1666799192124806,7.432511312544765E-2,2016,19.436067181561846,2018,"OECD",19.259362923617626,0.17670425794421973,2016,null,{"$f":"C66*V$4","v":-5.418386721564898E-3},{"$f":"I66*W$4","v":-5.0687035226365501E-2},{"$f":"-Source_OECDEU_incidence!H17","v":-0.15400000000000003},{"$f":"SUM(V66:X66)","v":-0.21010542194793042},"OECD"]
["Ghana","SSA",3.7,2019,"GSW",4.0599999999999996,-0.35999999999999943,2017,1.74,2019,"GSW",2.0699999999999998,-0.32999999999999985,2017,1.0651708686889123,2019,"GSW",1.5621677439857655,-0.49699687529685321,2010,null,-8.5000000000000006E-3,-7.3000000000000001E-3,0,{"$f":"SUM(V67:X67)","v":-1.5800000000000002E-2},"CEQ"]
["Greece","ECA",3.8892558225148068,2018,"OECD",4.2996802507477083,-0.41042442823290148,2016,4.9915003735504619,2018,"OECD",4.9093278377028575,8.2172535847604422E-2,2016,19.026711564905746,2018,"OECD",20.657409055161054,-1.630697490255308,2016,null,{"$f":"C68*V$4","v":-5.0560325692692483E-3},{"$f":"I68*W$4","v":-3.4940502614853236E-2},{"$f":"-Source_OECDEU_incidence!H18","v":-0.13200000000000001},{"$f":"SUM(V68:X68)","v":-0.1719965351841225},"OECD"]
["Guatemala","LAC",2.61,2019,"GSW",3.06,-0.45000000000000018,2017,1.29,2019,"GSW",1.22,7.0000000000000062E-2,2017,2,2018,"GSW",2.09,-8.9999999999999858E-2,2017,null,null,null,null,-2.0400000000000001E-2,"CEQ"]
["Guinea","SSA",2.71,2018,"GSW",2.93,-0.2200000000000002,2017,1.2,2018,"GSW",1.66,-0.45999999999999996,2017,1.4,2017,"GSW",1.44,-4.0000000000000036E-2,2017,null,{"$f":"Source_CEQ_Incidence!G11","v":-1.4E-3},{"$f":"Source_CEQ_Incidence!H11","v":-1.4E-3},{"$f":"Source_CEQ_Incidence!I11","v":-2.9999999999999997E-4},{"$f":"SUM(V70:X70)","v":-3.0999999999999999E-3},"CEQ","New CEQ Study 2019"]
["Guinea-Bissau","SSA",2.38,2015,"GSW",2.41,-3.0000000000000249E-2,2015,1.51,2015,"GSW",1.53,-2.0000000000000018E-2,2015,1.4,2015,"GSW",1.4,0,2015,null,{"$f":"C71*V$4","v":-3.0939999999999995E-3},{"$f":"I71*W$4","v":-1.057E-2},{"$f":"O71*X$4","v":-1.9599999999999999E-3},{"$f":"SUM(V71:X71)","v":-1.5623999999999999E-2},"MV"]
["Guyana","LAC",6.12,2019,"GSW",5.65,0.46999999999999975,2017,4.21,2019,"GSW",4.09,0.12000000000000011,2017,2.3199999999999998,2017,"CEPAL",3.7178067447162721,-1.3978067447162723,2010,null,{"$f":"C72*V$4","v":-7.9559999999999995E-3},{"$f":"I72*W$4","v":-2.947E-2},{"$f":"O72*X$4","v":-3.2479999999999996E-3},{"$f":"SUM(V72:X72)","v":-4.0674000000000002E-2},"MV"]
["Haiti","LAC",{"$f":"VLOOKUP($A73,S2_source_selection,20,FALSE)","v":3.77},{"$f":"VLOOKUP($A73,S2_source_selection,21,FALSE)","v":2019},{"$f":"VLOOKUP($A73,S2_source_selection,19,FALSE)","v":"GSW"},4.2,-0.43000000000000016,2017,{"$f":"VLOOKUP($A73,S2_source_selection,39,FALSE)","v":2.0499999999999998},{"$f":"VLOOKUP($A73,S2_source_selection,40,FALSE)","v":2019},{"$f":"VLOOKUP($A73,S2_source_selection,38,FALSE)","v":"GSW"},1.04,1.0099999999999998,2017,{"$f":"VLOOKUP($A73,S2_source_selection,60,FALSE)","v":0.98},{"$f":"VLOOKUP($A73,S2_source_selection,61,FALSE)","v":2018},{"$f":"VLOOKUP($A73,S2_source_selection,59,FALSE)","v":"GSW"},0.49,0.49,2015,null,{"$f":"C73*V$4","v":-4.901E-3},{"$f":"I73*W$4","v":-1.435E-2},{"$f":"O73*X$4","v":-1.372E-3},{"$f":"SUM(V73:X73)","v":-2.0623000000000002E-2},"MV"]
["Honduras","LAC",6.35,2019,"GSW",6.14,0.20999999999999996,2017,2.42,2019,"GSW",3.84,-1.42,2017,7.5,2019,"GSW",0.46,7.04,2017,null,null,null,null,-1.7500000000000002E-2,"CEQ"]
["Hong Kong SAR, China","EAP",3.9994525739999998,2019,"Nat Budget",3.3,{"$f":"C75-F75","v":0.69945257399999994},2016,2.8539046379999995,2019,"Nat Budget",2.7,{"$f":"I75-L75","v":0.15390463799999932},2016,4.1113799999999996,2019,"Nat Budget",2.7,{"$f":"O75-R75","v":1.4113799999999994},2016,null,{"$f":"C75*V$4","v":-5.1992883461999991E-3},null,{"$f":"O75*X$4","v":-5.7559319999999992E-3},{"$f":"SUM(V75:X75)","v":-1.0955220346199997E-2}]
["Hungary","ECA",5.1909635839185935,2018,"OECD",4.887417730839247,0.30354585307934645,2016,4.7932694545115222,2018,"OECD",4.8120400944994284,-1.8770639987906179E-2,2016,13.500161363214691,2018,"OECD",14.339379203801661,-0.83921784058697035,2016,null,{"$f":"C76*V$4","v":-6.7482526590941713E-3},{"$f":"I76*W$4","v":-3.3552886181580657E-2},{"$f":"-Source_OECDEU_incidence!H19","v":-0.15399999999999997},{"$f":"SUM(V76:X76)","v":-0.19430113884067479},"OECD"]
["Iceland","ECA",7.3043280506258013,2018,"OECD",7.1033523049007146,0.2009757457250867,2016,7.7776600681719987,2018,"OECD",7.4742807593573337,0.30337930881466502,2016,9.9001047295435107,2018,"OECD",13.388163894447914,-3.4880591649044028,2016,null,{"$f":"C77*V$4","v":-9.4956264658135406E-3},{"$f":"I77*W$4","v":-5.444362047720399E-2},{"$f":"-Source_OECDEU_incidence!H20","v":-9.600000000000003E-2},{"$f":"SUM(V77:X77)","v":-0.15993924694301756},"OECD"]
["India","SA",2.76,2019,"GSW",2.89,-0.13000000000000034,2016,1.22,2019,"GSW",1.1399999999999999,8.0000000000000071E-2,2016,3.42,2019,"GSW",1.43,1.99,2016,null,{"$f":"C78*V$4","v":-3.5879999999999996E-3},{"$f":"I78*W$4","v":-8.5400000000000007E-3},{"$f":"O78*X$4","v":-4.7879999999999997E-3},{"$f":"SUM(V78:X78)","v":-1.6916E-2},"MV"]
["Indonesia","EAP",2.679285323141992,2017,"AsDB",3.5819299999999998,-0.90264467685800787,2015,1.4677234399999999,"2017","WHO",1.17,0.29772343999999995,2017,1.2932387999999997,2018,"IMF",1.76,-0.46676120000000032,2017,null,null,null,null,-2.23E-2,"CEQ"]
["Ireland","ECA",3.1951265437910354,2018,"OECD",3.2885733598871947,-9.3446816096159235E-2,2016,5.0207742337764962,2018,"OECD",5.1958250352517048,-0.17505080147520857,2016,8.9861186137752007,2018,"OECD",9.8747983021034731,-0.88867968832827238,2016,null,{"$f":"C80*V$4","v":-4.1536645069283461E-3},{"$f":"I80*W$4","v":-3.5145419636435471E-2},{"$f":"-Source_OECDEU_incidence!H21","v":-0.15500000000000003},{"$f":"SUM(V80:X80)","v":-0.19429908414336383},"OECD"]
["Israel",null,7.1373016147384147,2018,"OECD",6.8517512134002994,0.28555040133811538,2016,5.4125631849261016,2018,"OECD",5.1285757388774025,0.28398744604869908,2016,11.138655121154232,2018,"OECD",10.713402249061934,0.42525287209229745,2016,null,{"$f":"C81*V$4","v":-9.2784920991599382E-3},{"$f":"I81*W$4","v":-3.788794229448271E-2},{"$f":"-Source_OECDEU_incidence!H22","v":-4.5999999999999985E-2},{"$f":"SUM(V81:X81)","v":-9.3166434393642639E-2},"OECD"]
["Italy","ECA",3.9537518514659982,2018,"OECD",3.9022599733840826,5.1491878081915576E-2,2016,6.8459512345371456,2018,"OECD",6.9534530791832472,-0.10750184464610157,2016,20.771353574518393,2018,"OECD",21.110812999085635,-0.33945942456724154,2016,null,{"$f":"C82*V$4","v":-5.1398774069057974E-3},{"$f":"I82*W$4","v":-4.7921658641760019E-2},{"$f":"-Source_OECDEU_incidence!H23","v":-0.13900000000000001},{"$f":"SUM(V82:X82)","v":-0.19206153604866583},"OECD"]
["Jamaica","LAC",4.8899999999999997,2019,"GSW",4.9400000000000004,-5.0000000000000711E-2,2017,3.46,2019,"GSW",3.16,0.29999999999999982,2017,1.22,2020,"GSW",2.0699999999999998,-0.84999999999999987,2017,null,{"$f":"C83*V$4","v":-6.3569999999999989E-3},{"$f":"I83*W$4","v":-2.4220000000000002E-2},{"$f":"O83*X$4","v":-1.7079999999999999E-3},{"$f":"SUM(V83:X83)","v":-3.2285000000000001E-2},"MV"]
["Japan","EAP",3.2874415742779557,2018,"OECD",3.3503105977651222,-6.2869023487166498E-2,2016,9.1963012300000013,"2017","WHO",7.5584423013206905,1.6378589286793108,2016,16.073017341491099,2018,"OECD",16.154463886416753,-8.1446544925654507E-2,2016,null,{"$f":"C84*V$4","v":-4.2736740465613423E-3},{"$f":"I84*W$4","v":-6.4374108610000008E-2},{"$f":"-Source_OECDEU_incidence!H24","v":-0.14100000000000001},{"$f":"SUM(V84:X84)","v":-0.20964778265656137},"OECD"]
["Jordan","MENA",3.71,2019,"GSW",3.62,8.9999999999999858E-2,2017,3.6,2019,"GSW",2.91,0.69,2017,8.9336926885647099,2015,"ILO",8.9336926885647099,0,2015,null,null,null,null,-1.2999999999999999E-2,"CEQ"]
["Kazakhstan","ECA",3.3599674033198199,2017,"AsDB",2.9781,0.38186740331981994,2016,2.613159263404071,2017,"AsDB",3.2178943199999996,-0.60473505659592863,2015,5.2280199999999999,2018,"IMF",3.8884279596263909,1.339592040373609,2015,null,{"$f":"C86*V$4","v":-4.3679576243157653E-3},{"$f":"I86*W$4","v":-1.8292114843828498E-2},{"$f":"O86*X$4","v":-7.3192279999999997E-3},{"$f":"SUM(V86:X86)","v":-2.9979300468144263E-2},"MV"]
["Kenya","SSA",5.3202400000000001,2018,"UIS",4.67,0.65024000000000015,2017,2.3638175499999994,"2017","WHO",1.0900000000000001,1.2738175499999993,2017,1.27,2019,"GSW",1.92,-0.64999999999999991,2017,null,{"$f":"Source_CEQ_Incidence!G12","v":-3.1E-2},-1.6546722849999997E-2,{"$f":"Source_CEQ_Incidence!I12","v":-4.0000000000000001E-3},-5.1546722850000004E-2,"CEQ","New CEQ Study 2018 (Education & SP only)"]
["Kiribati","EAP",16.16,2019,"GSW",14.22,1.9399999999999995,2017,11.75,2019,"GSW",12.07,-0.32000000000000028,2017,1.3471500049460563,2017,"AsDB",1.3,4.7150004946056256E-2,2015,null,-2.1007999999999999E-2,-8.2250000000000004E-2,-1.8860100069244788E-3,-0.10514401000692448,"MV"]
["Korea, Rep.","EAP",3.1700744708471147,2017,"AsDB",5.198394939162859,-2.0283204683157443,2016,4.3160349580358552,2017,"OECD",4.2802741970787226,3.5760760957132653E-2,2016,5.4060084604321119,2017,"AsDB",6.6243814662669482,-1.2183730058348363,2016,null,-4.1210968121012485E-3,-3.0212244706250987E-2,-7.5684118446049569E-3,-4.1901753362957199E-2,"MV"]
["Kosovo","ECA",4.53,2019,"GSW",4.3099999999999996,0.22000000000000064,2017,3.41,2019,"GSW",2.83,0.58000000000000007,2017,6.47,2019,"GSW",0.71,5.76,2017,null,-5.8890000000000001E-3,{"$f":"I90*W$4","v":-2.3870000000000002E-2},{"$f":"O90*X$4","v":-9.0580000000000001E-3},-3.8817000000000004E-2,"MV"]
["Kuwait","MENA",3.7600099999999994,"2006","UIS",3.7600099999999999,0,2006,4.6238603499999993,"2017","WHO",3.3921421199999999,1.2317182299999994,2015,11.436999999999999,2011,"ILO",11.436999999999999,0,2011,null,-4.8880129999999992E-3,-3.2367022449999998E-2,-1.60118E-2,-5.3266835449999994E-2,"MV"]
["Kyrgyz Republic","ECA",5.01,2019,"GSW",5.68,-0.66999999999999993,2017,2.6120729300000001,"2017","WHO",3.04,-0.42792706999999996,2017,9.9663677689551502,2017,"AsDB",5.5,4.4663677689551502,2016,null,-6.5129999999999997E-3,-1.8284510510000001E-2,-1.3952914876537209E-2,-3.875042538653721E-2,"MV"]
["Lao PDR","EAP",2.9378099999999998,2014,"UIS",2.9378099999999998,0,2014,0.97754468000000005,"2017","WHO",1.5875339499999996,-0.60998926999999958,2015,0.23544715999999988,2013,"ILO",0.23544715999999988,0,2013,null,-3.8191529999999996E-3,-6.8428127600000006E-3,-3.2962602399999981E-4,-1.0991591783999999E-2,"MV"]
["Latvia","ECA",5.7439032651402249,2018,"OECD",5.4911541701769169,0.252749094963308,2016,3.9680937542338439,2018,"OECD",3.7498696192883223,0.21822413494552162,2016,11.470634060425416,2018,"OECD",12.021181851004934,-0.55054779057951819,2016,null,-7.4670742446822924E-3,-2.7776656279636908E-2,{"$f":"-Source_OECDEU_incidence!H26","v":-9.7999999999999976E-2},-0.13324373052431918,"OECD"]
["Lebanon","MENA",2.7797369999999999,2019,"Nat Budget",1.8408781999999999,0.93885879999999999,2017,4.01017359,"2017","WHO",3.67,0.34017359000000003,2015,6.9056163000000002,2019,"Nat Budget",2.4525437999999999,4.4530725000000002,2017,null,-3.6136580999999997E-3,-2.807121513E-2,{"$f":"O95*X$4","v":-9.6678628199999995E-3},-4.1352736049999998E-2,"MV"]
["Lesotho","SSA",5.93,2019,"GSW",6.32,-0.39000000000000057,2017,6.17,2019,"GSW",5.25,0.91999999999999993,2017,7.2,2011,"ILO",7.2,0,2011,null,-7.7089999999999997E-3,-4.3189999999999999E-2,{"$f":"O96*X$4","v":-1.008E-2},-6.0978999999999998E-2,"MV"]
["Liberia","SSA",2.65,2019,"GSW",3.95,-1.3000000000000003,2017,2.54,2019,"GSW",3.55,-1.0099999999999998,2017,0.24,2019,"GSW",0.24,0,2017,null,-3.4449999999999997E-3,-1.7780000000000001E-2,{"$f":"O97*X$4","v":-3.3599999999999998E-4},-2.1561E-2,"MV"]
["Lithuania","ECA",4.5821031165491872,2018,"OECD",5.1514947760422061,-0.56939165949301884,2016,5.9340781132242757,2018,"OECD",5.8422985414296056,9.1779571794670112E-2,2016,12.091789688345083,2018,"OECD",11.23484535016034,0.8569443381847428,2016,null,-5.9567340515139433E-3,-4.1538546792569929E-2,{"$f":"-Source_OECDEU_incidence!H27","v":-0.11599999999999999},-0.16349528084408388,"OECD"]
["Luxembourg","ECA",4.6819833993381437,2017,"OECD",4.8626544665597589,-0.18067106722161519,2016,4.8810285900287527,2017,"OECD",4.7517215357041795,0.12930705432457312,2016,18.44494475487803,2017,"OECD",18.115574002452597,0.32937075242543301,2016,null,-6.0865784191395864E-3,-3.4167200130201268E-2,{"$f":"-Source_OECDEU_incidence!H28","v":-0.16299999999999998},-0.20325377854934085,"OECD"]
["Madagascar","SSA",3.34,2019,"GSW",3.1,0.23999999999999977,2017,1.26,2019,"GSW",1.01,0.25,2017,1.44,2017,"GSW",1.44,0,2017,null,-4.3419999999999995E-3,-8.8199999999999997E-3,{"$f":"O100*X$4","v":-2.016E-3},-1.5178000000000001E-2,"MV"]
["Malawi","SSA",4.9000000000000004,2019,"GSW",4.75,0.15000000000000036,2017,2.29,2019,"GSW",2.71,-0.41999999999999993,2017,1.82,2019,"GSW",1.86,-4.0000000000000036E-2,2017,null,-6.3699999999999998E-3,-1.6029999999999999E-2,-2.5479999999999999E-3,-2.4947999999999998E-2,"MV"]
["Malaysia","EAP",4.4131099999999996,2017,"AsDB",4.5,-8.6890000000000356E-2,2016,1.8607800000000001,2017,"AsDB",1.9,-3.9219999999999811E-2,2016,1.0184815999999999,2017,"AsDB",0.9,0.11848159999999985,2016,null,-5.737042999999999E-3,-1.3025460000000001E-2,-1.4258742399999998E-3,-2.0188377239999999E-2,"MV"]
["Maldives","SA",4.0672800000000002,2016,"UIS",4.25007,-0.18278999999999979,2016,3.5056262024205207,2015,"AsDB",4.2,-0.69437379757947948,2015,5.2456788176065876,2015,"AsDB",6.3,-1.0543211823934122,2015,null,-5.2874640000000004E-3,-2.4539383416943644E-2,-7.3439503446492225E-3,-3.7170797761592864E-2,"MV"]
["Mali","SSA",3.69,2019,"GSW",4.47,-0.7799999999999998,2017,1.17,2019,"GSW",1.55,-0.38000000000000012,2017,2.1,2019,"GSW",3.1661390700000003,-1.0661390700000002,2010,null,{"$f":"Source_CEQ_Incidence!G13","v":-6.4999999999999997E-3},{"$f":"Source_CEQ_Incidence!H13","v":-3.8E-3},{"$f":"Source_CEQ_Incidence!I13","v":-2.0000000000000001E-4},-1.0500000000000001E-2,"CEQ","New CEQ Study 2019"]
["Malta","MENA",5.2,2018,"Eurostat",5.4,-0.20000000000000018,2016,{"$f":"VLOOKUP($A105,S2_source_selection,39,FALSE)","v":5.3},{"$f":"VLOOKUP($A105,S2_source_selection,40,FALSE)","v":2018},{"$f":"VLOOKUP($A105,S2_source_selection,38,FALSE)","v":"Eurostat"},5.4,-0.10000000000000053,2016,{"$f":"VLOOKUP($A105,S2_source_selection,60,FALSE)","v":10.9},{"$f":"VLOOKUP($A105,S2_source_selection,61,FALSE)","v":2018},{"$f":"VLOOKUP($A105,S2_source_selection,59,FALSE)","v":"Eurostat"},12,-1.0999999999999996,2016,null,-6.7599999999999995E-3,-3.7100000000000001E-2,-1.5260000000000001E-2,-5.9120000000000006E-2,"MV"]
["Mauritania","SSA",40.58,2017,"GSW",3.53,37.049999999999997,2016,15.77,2017,"GSW",2.4623073600000001,13.307692639999999,2015,23.81,2017,"GSW",2.68,21.13,2016,null,-5.2753999999999995E-2,-0.11039,-3.3333999999999996E-2,-0.19647800000000001,"MV"]
["Mauritius","SSA",4.8345900000000004,2018,"UIS",5.0136000000000003,-0.17900999999999989,2016,2.4736356100000001,"2017","WHO",2.67790442,-0.20426880999999986,2015,6.7723914000000001,2018,"IMF",7.4248086124135311,-0.65241721241353101,2014,null,-6.2849669999999998E-3,-1.7315449270000002E-2,-9.4813479600000007E-3,-3.3081764230000005E-2,"MV"]
["Mexico","LAC",4.7919617000000008,2019,"Nat Budget",4.6137761999999993,0.17818550000000144,2017,3.7602258000000002,2019,"Nat Budget",3.6506309999999997,0.10959480000000044,2017,6.8225931000000006,2019,"Nat Budget",5.3930952999999988,1.4294978000000018,2017,null,null,null,null,-6.4000000000000001E-2,"CEQ"]
["Moldova","ECA",5.4,2019,"GSW",6.43,-1.0299999999999994,2017,4.0999999999999996,2019,"GSW",4.79,-0.69000000000000039,2017,10.89,2019,"GSW",12.73,-1.8399999999999999,2017,null,{"$f":"C109*V$4","v":-7.0200000000000002E-3},{"$f":"I109*W$4","v":-2.87E-2},{"$f":"O109*X$4","v":-1.5246000000000001E-2},-5.0966000000000004E-2,"MV"]
["Mongolia","EAP",5.0199999999999996,2019,"GSW",5,1.9999999999999574E-2,2017,2.2599999999999998,2019,"GSW",2.41,-0.15000000000000036,2017,6.1125725999999991,2018,"IMF",8.5,-2.3874274000000009,2016,null,{"$f":"Source_CEQ_Incidence!G14","v":-1.9E-2},{"$f":"Source_CEQ_Incidence!H14","v":-5.0000000000000001E-3},{"$f":"Source_CEQ_Incidence!I14","v":-6.8000000000000005E-2},-9.1999999999999998E-2,"CEQ","New CEQ Study 2018"]
["Montenegro","ECA",0,0,0,0,0,0,"","","GSW",1.1507746099999998,{"$error":"#VALUE!"},2015,0,0,0,13.81,-13.81,2011,null,null,null,0,0,"MV"]
["Morocco","MENA",5.25,2017,"Nat Budget",5.25,0,2017,1.57,2017,"Nat Budget",1.57,0,2017,4.51,2010,"ILO",4.51,0,2010,null,{"$f":"C112*V$4","v":-6.8249999999999995E-3},{"$f":"I112*W$4","v":-1.0990000000000002E-2},-6.3139999999999993E-3,-2.4129000000000001E-2,"MV"]
["Mozambique","SSA",5.99,2019,"GSW",6.02,-2.9999999999999361E-2,2017,2.96,2019,"GSW",2.63,0.33000000000000007,2017,1.93,2017,"GSW",1.94,-1.0000000000000009E-2,2017,null,-7.7869999999999997E-3,-2.0719999999999999E-2,-2.702E-3,-3.1208999999999997E-2,"MV"]
["Myanmar","EAP",2.8446292,2018,"AsDB",2.1,0.74462919999999988,2017,1.4182391999999999,2018,"AsDB",1.1000000000000001,0.31823919999999983,2017,0.93815969530202203,2019,"IMF",0.8,0.13815969530202199,2016,null,-3.6980179599999997E-3,-9.9276743999999993E-3,-1.3134235734228309E-3,-1.493911593342283E-2,"MV"]
["Namibia","SSA",9.8605339999999995,2019,"Nat Budget",8.8459599999999998,1.0145739999999996,2017,5.5086998999999999,2019,"Nat Budget",5.47,3.869990000000012E-2,2015,4.5890935000000006,2019,"Nat Budget",5.0967450000000003,-0.5076514999999997,2017,null,null,null,null,-0.20100000000000001,"CEQ"]
["Nepal","SA",3.87,2019,"GSW",2.4300000000000002,1.44,2017,1.89,2019,"GSW",1.02,0.86999999999999988,2017,4.03,2017,"GSW",2.2599999999999998,1.7700000000000005,2017,null,-5.0309999999999999E-3,-1.323E-2,-5.6420000000000003E-3,-2.3903000000000001E-2,"MV"]
["Netherlands","ECA",5.0940585681083252,2018,"OECD",5.2881912669485551,-0.19413269884022988,2016,7.5564667930168889,2018,"OECD",7.694398704316999,-0.13793191130011007,2016,15.463561913546995,2018,"OECD",16.198172324131384,-0.73461041058438958,2016,null,-6.6222761385408228E-3,-5.2895267551118223E-2,{"$f":"-Source_OECDEU_incidence!H32","v":-0.11099999999999999},-0.17051754368965905,"OECD"]
["New Zealand","EAP",5.7139296076001083,2018,"AsDB",6.2,-0.48607039239989192,2016,6.5919304246671135,2018,"AsDB",7,-0.40806957533288646,2016,10.599020904451631,2018,"AsDB",11.4,-0.8009790955483691,2016,null,-7.42810848988014E-3,-4.6143512972669797E-2,{"$f":"-Source_OECDEU_incidence!H33","v":-9.0000000000000024E-2},-0.14357162146254995,"OECD"]
["Nicaragua","LAC",4.42,2017,"GSW",4.46,-4.0000000000000036E-2,2017,3.38,2019,"GSW",3.37,9.9999999999997868E-3,2017,0.47,2017,"GSW",0.6,-0.13,2015,null,null,null,null,-3.7400000000000003E-2,"CEQ"]
["Niger","SSA",4.9400000000000004,2019,"GSW",5.47,-0.52999999999999936,2017,2.4,2019,"GSW",2.58,-0.18000000000000016,2017,0.75,2010,"ILO",0.75,0,2010,null,{"$f":"Source_CEQ_Incidence!G15","v":-4.8999999999999998E-3},{"$f":"Source_CEQ_Incidence!H15","v":-3.0999999999999999E-3},{"$f":"Source_CEQ_Incidence!I15","v":0},{"$f":"SUM(V120:X120)","v":-8.0000000000000002E-3},"CEQ","New CEQ Study 2019"]
["Nigeria","SSA",0.91,2012,"GSW",0.91,0,2012,0.5,2012,"GSW",0.5,0,2012,1.1627850000000002,2010,"ILO",1.1627850000000002,0,2010,null,{"$f":"C121*V$4","v":-1.183E-3},{"$f":"I121*W$4","v":-3.5000000000000001E-3},{"$f":"O121*X$4","v":-1.6278990000000001E-3},-6.310899E-3,"MV","GSW based on Actual Expenditure not Planned"]
["North Macedonia",null,3.5469499999999998,2019,null,null,3.5469499999999998,null,4.5143000000000004,2019,"Nat Budget",null,4.5143000000000004,null,10.83432,2019,"Nat Budget",null,10.83432,null,null,{"$f":"C122*V$4","v":-4.6110349999999994E-3},{"$f":"I122*W$4","v":-3.1600100000000006E-2},{"$f":"O122*X$4","v":-1.5168048E-2},{"$f":"SUM(V122:X122)","v":-5.1379183000000009E-2},"MV"]
["Norway","ECA",5.4314246387565639,2018,"OECD",5.6311242133143926,-0.19969957455782872,2016,8.2351608390023969,2018,"OECD",8.7102382297524592,-0.47507739075006228,2016,19.121856998011815,2018,"OECD",20.336101671044226,-1.214244673032411,2016,null,-7.0608520303835328E-3,-5.7646125873016776E-2,{"$f":"-Source_OECDEU_incidence!H35","v":-0.126},-0.1907069779034003,"OECD"]
["Occupied Palestinian Territory","MENA",6.181682501614242,2019,"GSW",5.27,0.91168250161424247,2017,3.2980038741813491,2019,"GSW",3.17,0.12800387418134918,2017,2.8375242136334284,2019,"GSW",2.8,3.7524213633428616E-2,2017,null,-8.0361872520985141E-3,-2.3086027119269444E-2,{"$f":"O124*X$4","v":-3.9725338990868001E-3},-3.5094748270454758E-2,"MV"]
["Oman","MENA",4.97011,"2013","UIS",6.1585099999999997,-1.1883999999999997,2016,3.3772822299999996,"2017","WHO",3.3782645100000002,-9.8228000000055715E-4,2015,3.55,2013,"ILO",3.55,0,2013,null,-6.4611429999999999E-3,-2.3640975609999997E-2,-4.9699999999999996E-3,-3.5072118609999994E-2,"MV"]
["Pakistan","SA",2.8995199999999999,2017,"UIS",2.7579199999999999,0.14159999999999995,2017,1.03,2019,"GSW",0.88,0.15000000000000002,2017,1.2383360000000001,2010,"ILO",1.2383360000000001,0,2010,null,-3.7693759999999996E-3,-7.2100000000000003E-3,-1.7336704000000002E-3,-1.2713046399999999E-2,"MV"]
["Panama","LAC",3.32,2017,"Cepal",3.0915999999999997,0.22840000000000016,2014,1.73,2017,"Cepal",1.8384399999999999,-0.10843999999999987,2014,3.89,2015,"ILO",1.1257199999999998,2.7642800000000003,2014,null,-4.3159999999999995E-3,-1.2110000000000001E-2,{"$f":"Source_CEQ_Incidence!I17","v":-1.34E-2},-2.9825999999999998E-2,"CEQ","New CEQ Study 2017 & 2018 (SP only)"]
["Papua New Guinea","EAP",3.52,2019,"GSW",3.13,0.39000000000000012,2017,1.85,2019,"GSW",1.76,9.000000000000008E-2,2017,0.44,2019,"GSW",0.11,0.33,2017,null,-4.5760000000000002E-3,-1.2950000000000001E-2,-6.1600000000000001E-4,-1.8141999999999998E-2,"MV"]
["Paraguay","LAC",3.1,2018,"Cepal",4.0309799999999996,-0.93097999999999947,2015,1.79,2018,"Cepal",2.5146000000000002,-0.72460000000000013,2015,3.53,2018,"CEPAL",4.6710599999999998,-1.14106,2015,null,null,null,null,-4.4999999999999998E-2,"CEQ"]
["Peru","LAC",3.95,2019,"GSW",3.73,0.2200000000000002,2017,2.35,2019,"GSW",1.96,0.39000000000000012,2017,2.68,2018,"CEPAL",3.07,-0.38999999999999968,2015,null,-1.7500000000000002E-2,-8.3999999999999995E-3,-4.4000000000000003E-3,-3.0300000000000001E-2,"CEQ"]
["Philippines","EAP",3.9275522999999999,2019,"Nat Budget",3.5,0.42755229999999989,2016,1.5564288199999998,"2017","WHO",2,-0.44357118000000018,2015,2.5286687999999997,2019,"Nat Budget",1.4,1.1286687999999998,2016,null,{"$f":"C131*V$4","v":-5.1058179899999999E-3},{"$f":"I131*W$4","v":-1.0895001739999998E-2},{"$f":"O131*X$4","v":-3.5401363199999997E-3},-1.9540956049999995E-2,"MV"]
["Poland","ECA",5.0105304602981935,2018,"OECD",4.980356573123208,3.0173887174985481E-2,2016,4.8157148177978435,2018,"OECD",4.646360209120985,0.16935460867685848,2016,16.230348087983394,2018,"OECD",16.944673973454741,-0.71432588547134657,2016,null,null,null,null,-0.40699999999999997,"CEQ"]
["Portugal","ECA",4.544301997096559,2018,"OECD",4.8637961335676616,-0.31949413647110259,2016,6.3031447404559193,2018,"OECD",5.9356529052152638,0.36749183524065554,2016,17.085445521246125,2018,"OECD",17.990824501062029,-0.90537897981590376,2016,null,{"$f":"C133*V$4","v":-5.9075925962255261E-3},{"$f":"I133*W$4","v":-4.4122013183191436E-2},{"$f":"-Source_OECDEU_incidence!H36","v":-0.16000000000000003},-0.21002960577941698,"OECD"]
["Qatar","MENA",2.8638300000000001,2017,"UIS",3.6053500000000001,-0.74151999999999996,2014,2.1051663399999998,"2017","WHO",2.6127709100000005,-0.5076045700000007,2015,0,0,0,0.199514,-0.199514,2010,null,{"$f":"C134*V$4","v":-3.722979E-3},{"$f":"I134*W$4","v":-1.473616438E-2},{"$f":"O134*X$4","v":0},-1.8459143380000001E-2,"MV"]
["Romania","ECA",3.2,2018,"Eurostat",3.7,-0.5,2016,4.7,2018,"Eurostat",3.7,1,2016,11.6,2018,"Eurostat",11.6,0,2016,null,{"$f":"Source_CEQ_Incidence!G18","v":-1.4999999999999999E-2},{"$f":"Source_CEQ_Incidence!H18","v":-1.4999999999999999E-2},{"$f":"Source_CEQ_Incidence!I18","v":-2.5000000000000001E-2},-5.5E-2,"CEQ","New CEQ Study 2018"]
["Russian Federation","ECA",3.4918290000000005,2016,"Nat Budget",3.6093419999999998,-0.11751299999999931,2016,3.0511527800000002,"2017","WHO",3.54,-0.4888472199999998,2015,10.97,2018,"IMF",12.687383999999998,-1.7173839999999974,2016,null,null,null,null,-5.0700000000000002E-2,"CEQ"]
["Rwanda","SSA",3.02,2019,"GSW",2.89,0.12999999999999989,2017,2.5299999999999998,2019,"GSW",2.48,4.9999999999999822E-2,2017,1.92,2019,"GSW",1.57,0.34999999999999987,2017,null,{"$f":"C137*V$4","v":-3.9259999999999998E-3},{"$f":"I137*W$4","v":-1.771E-2},{"$f":"O137*X$4","v":-2.6879999999999999E-3},{"$f":"SUM(V137:X137)","v":-2.4323999999999998E-2},"MV"]
["Samoa","EAP",{"$f":"VLOOKUP($A138,S2_source_selection,20,FALSE)","v":4.71},{"$f":"VLOOKUP($A138,S2_source_selection,21,FALSE)","v":2019},{"$f":"VLOOKUP($A138,S2_source_selection,19,FALSE)","v":"GSW"},5.75,-1.04,2017,{"$f":"VLOOKUP($A138,S2_source_selection,39,FALSE)","v":4.0999999999999996},{"$f":"VLOOKUP($A138,S2_source_selection,40,FALSE)","v":2019},{"$f":"VLOOKUP($A138,S2_source_selection,38,FALSE)","v":"GSW"},4.3,-0.20000000000000018,2017,{"$f":"VLOOKUP($A138,S2_source_selection,60,FALSE)","v":1.2185402951054918},{"$f":"VLOOKUP($A138,S2_source_selection,61,FALSE)","v":2018},{"$f":"VLOOKUP($A138,S2_source_selection,59,FALSE)","v":"AsDB"},1.5,-0.28145970489450822,2016,null,-6.123E-3,-2.87E-2,-1.7059564131476884E-3,-3.6528956413147691E-2,"MV"]
["Sao Tome and Principe","SSA",5.96,2019,"GSW",5.93,3.0000000000000249E-2,2017,4.4800000000000004,2019,"GSW",5.1100000000000003,-0.62999999999999989,2017,0.7,2019,"GSW",0.42,0.27999999999999997,2017,null,-7.7479999999999997E-3,-3.1360000000000006E-2,-9.7999999999999997E-4,-4.0088000000000006E-2,"MV"]
["Saudi Arabia","MENA",5.13781,"2008","UIS",5.13781,{"$f":"C140-F140","v":0},2008,"","","GSW",4.1598640900000001,{"$f":"I140-L140","v":{"$error":"#VALUE!"}},2015,3.64,2011,"ILO",3.64,{"$f":"O140-R140","v":0},2011,null,-6.6791529999999993E-3,null,-5.0959999999999998E-3,-1.1775153E-2,"MV"]
["Senegal","SSA",4.8099999999999996,2019,"GSW",5.91,-1.1000000000000005,2017,1.42,2019,"GSW",1.5,-8.0000000000000071E-2,2017,2.97,2010,"ILO",2.97,0,2010,null,{"$f":"Source_CEQ_Incidence!G19","v":-1.7999999999999999E-2},null,{"$f":"Source_CEQ_Incidence!I19","v":-0.01},-2.7999999999999997E-2,"CEQ","New CEQ Study 2018"]
["Serbia","ECA",3.71509,2017,"UIS",4.0406899999999997,-0.32559999999999967,2015,4.7917447999999991,"2017","WHO",5,-0.20825520000000086,2015,16.98,2014,"ILO",16.98,0,2014,null,-4.8296169999999996E-3,-3.3542213599999995E-2,-2.3772000000000001E-2,-6.2143830599999998E-2,"MV"]
["Seychelles","SSA",4.4183199999999996,2016,"UIS",3.6064400000000001,0.81187999999999949,2011,6.4537094400000008,"2017","WHO",3.4095127600000001,3.0441966800000007,2015,6.3,2018,"IMF",4.41,1.8899999999999997,2015,null,-5.7438159999999988E-3,-4.5175966080000005E-2,-8.8199999999999997E-3,-5.9739782080000005E-2,"MV"]
["Sierra Leone","SSA",3.28,2019,"GSW",3.06,0.21999999999999975,2017,2.27,2019,"GSW",1.53,0.74,2017,0.55000000000000004,2019,"GSW",0.5,5.0000000000000044E-2,2017,null,-4.2639999999999996E-3,-1.5890000000000001E-2,-7.7000000000000007E-4,-2.0924000000000002E-2,"MV"]
["Singapore","EAP",2.1819600000000001,2018,"AsDB",3,-0.81803999999999988,2015,2.7965399999999998,2018,"AsDB",2.1097925200000001,0.68674747999999974,2015,0.99846999999999997,2018,"AsDB",1.9,-0.90152999999999994,2015,null,-2.8365479999999999E-3,-1.9575779999999997E-2,-1.3978579999999999E-3,-2.3810185999999997E-2,"MV"]
["Slovak Republic","ECA",3.9435045786124472,2018,"OECD",3.8434088276609901,0.10009575095145706,2016,7.2735748653023204,2018,"OECD",7.3619414939497752,-8.8366628647454704E-2,2016,14.271701292654265,2018,"OECD",15.12808980456909,-0.85638851191482424,2016,null,-5.1265559521961809E-3,-5.0915024057116245E-2,{"$f":"-Source_OECDEU_incidence!H40","v":-0.129},-0.18504158000931242,"OECD"]
["Slovenia","ECA",5.4015517429789091,2018,"OECD",5.5742243554851791,-0.17267261250627008,2016,6.5598950934324121,2018,"OECD",6.7059231035677183,-0.1460280101353062,2016,16.665369904928422,2018,"OECD",16.675985946855363,-1.0616041926940767E-2,2016,null,-7.0220172658725811E-3,-4.5919265654026882E-2,{"$f":"-Source_OECDEU_incidence!H41","v":-0.15200000000000002},-0.20494128291989949,"OECD"]
["Solomon Islands","EAP",11.39,2019,"GSW",11.02,0.37000000000000099,2015,5.01,2019,"GSW",6.81,-1.7999999999999998,2015,1.85,2019,"GSW",1.57,0.28000000000000003,2015,null,-1.4807000000000001E-2,-3.5069999999999997E-2,{"$f":"O148*X$4","v":-2.5900000000000003E-3},-5.2467E-2,"MV"]
["South Africa","SSA",6.56,2019,"GSW",6.12,0.4399999999999995,2017,3.91,2019,"GSW",3.62,0.29000000000000004,2017,3.71,2019,"GSW",5.84,-2.13,2014,null,null,null,null,-0.1376,"CEQ"]
["South Sudan","SSA",0.94,2019,"GSW",0.43,0.51,2017,0.22,2019,"GSW",0.87064419000000015,-0.65064419000000018,2015,0.02,2019,"GSW",0.06,-3.9999999999999994E-2,2017,null,{"$f":"C150*V$4","v":-1.2219999999999998E-3},{"$f":"I150*W$4","v":-1.5400000000000001E-3},{"$f":"O150*X$4","v":-2.8E-5},{"$f":"SUM(V150:X150)","v":-2.7899999999999995E-3},"MV"]
["Spain","ECA",3.9805569717475215,2018,"OECD",4.015477567718829,-3.4920595971307478E-2,2016,5.9604485171918347,2018,"OECD",6.0435109903962552,-8.3062473204420506E-2,2016,16.810787189384961,2018,"OECD",16.833732371826393,-2.2945182441432621E-2,2016,null,{"$f":"C151*V$4","v":-5.1747240632717779E-3},{"$f":"I151*W$4","v":-4.1723139620342846E-2},-0.16880000000000001,{"$f":"SUM(V151:X151)","v":-0.21569786368361463},"Fedea","Fedea\nObservatorio sobre el reparto de los impuestos y las prestaciones monetarias entre los hogares españoles "]
["Sri Lanka","SA",1.87,2019,"GSW",1.84,3.0000000000000027E-2,2016,1.48,2019,"GSW",1.7,-0.21999999999999997,2016,1.77,2019,"GSW",2.1,-0.33000000000000007,2015,null,null,null,null,-1.9699999999999999E-2,"CEQ"]
["St. Lucia","LAC",3.6795899999999997,2018,"UIS",5.7102399999999998,-2.0306500000000001,2016,2.23277357,"2017","WHO",3.7822803,-1.5495067300000001,2015,1.93,2010,"ILO",1.93,0,2010,null,{"$f":"C153*V$4","v":-4.7834669999999996E-3},{"$f":"I153*W$4","v":-1.562941499E-2},{"$f":"O153*X$4","v":-2.702E-3},{"$f":"SUM(V153:X153)","v":-2.3114881989999999E-2},"MV"]
["St. Vincent and the Grenadines","LAC",5.6812199999999997,2018,"UIS",5.7797099999999997,-9.8489999999999966E-2,2016,3.6830625000000001,"2017","WHO",3.21,0.47306250000000016,2015,4.3899999999999997,2010,"ILO",4.3899999999999997,0,2010,null,-7.3855859999999995E-3,-2.5781437500000001E-2,{"$f":"O154*X$4","v":-6.1459999999999996E-3},-3.9313023500000002E-2,"MV"]
["Sweden","ECA",6.8865243649134653,2018,"OECD",6.6286520937831037,0.2578722711303616,2016,6.9932548174555489,2018,"OECD",6.8754282258317172,0.11782659162383169,2016,19.540568743596999,2018,"OECD",20.604217851335882,-1.0636491077388825,2016,null,-8.9524816743875042E-3,-4.8952783722188843E-2,{"$f":"-Source_OECDEU_incidence!H43","v":-0.122},-0.17990526539657634,"OECD"]
["Switzerland","ECA",5.5670992157300407,2018,"OECD",5.5948921059819723,-2.7792890251931546E-2,2016,2.1710349145796526,2018,"OECD",2.2343667486114906,-6.3331834031838063E-2,2016,13.293362765801714,2018,"OECD",13.596323105405325,-0.30296033960361157,2016,null,-7.2372289804490527E-3,-1.5197244402057568E-2,{"$f":"-Source_OECDEU_incidence!H44","v":-9.3000000000000027E-2},-0.11543447338250665,"OECD"]
["Tajikistan","ECA",5.67,2019,"GSW",5.75,-8.0000000000000071E-2,2017,2.2400000000000002,2019,"GSW",2.31,-6.999999999999984E-2,2017,4.7300000000000004,2019,"GSW",5,-0.26999999999999957,2016,null,-7.3709999999999999E-3,-1.5680000000000003E-2,{"$f":"O157*X$4","v":-6.6220000000000003E-3},-2.9673000000000001E-2,"MV"]
["Tanzania","SSA",3.16,2019,"GSW",4.13,-0.96999999999999975,2017,1.21,2019,"GSW",1.72,-0.51,2017,4.7300000000000004,2010,"ILO",4.7300000000000004,0,2010,null,-1.1599999999999999E-2,-1.6000000000000001E-3,-8.9999999999999998E-4,-1.41E-2,"CEQ"]
["Thailand","EAP",3.0657771419847482,2018,"AsDB",3.7,-0.63422285801525202,2016,2.9606283799999993,"2017","WHO",2.6798082499999998,0.2808201299999995,2015,3.0033396380117106,2018,"AsDB",4.5999999999999996,-1.5966603619882891,2016,null,{"$f":"C159*V$4","v":-3.9855102845801722E-3},{"$f":"I159*W$4","v":-2.0724398659999997E-2},{"$f":"O159*X$4","v":-4.2046754932163945E-3},-2.8914584437796563E-2,"MV"]
["Timor-Leste","EAP",4.3099999999999996,2019,"GSW",4.57,-0.26000000000000068,2017,2.5499999999999998,2019,"GSW",2.8239999999999998,-0.27400000000000002,2017,5.44,2019,"GSW",6.22,-0.77999999999999936,2017,null,{"$f":"C160*V$4","v":-5.6029999999999995E-3},{"$f":"I160*W$4","v":-1.7849999999999998E-2},{"$f":"O160*X$4","v":-7.6160000000000004E-3},-3.1068999999999999E-2,"MV"]
["Togo","SSA",4.58,2019,"GSW",4.88,-0.29999999999999982,2015,1.92,2019,"GSW",1.84,7.9999999999999849E-2,2015,1.98,2018,"GSW",2.37,-0.39000000000000012,2014,null,{"$f":"Source_CEQ_Incidence!G20","v":-2.1000000000000001E-2},{"$f":"Source_CEQ_Incidence!H20","v":-4.0000000000000001E-3},{"$f":"Source_CEQ_Incidence!I20","v":-0.02},-4.4999999999999998E-2,"CEQ","New CEQ Study 2018"]
["Tonga","EAP",5.83,2019,"GSW",5.62,0.20999999999999996,2017,3.66,2019,"GSW",4,-0.33999999999999986,2017,0.56000000000000005,2019,"GSW",1.0343819999999999,-0.47438199999999986,2010,null,{"$f":"C162*V$4","v":-7.5789999999999998E-3},{"$f":"I162*W$4","v":-2.562E-2},{"$f":"O162*X$4","v":-7.8400000000000008E-4},-3.3982999999999999E-2,"MV"]
["Trinidad and Tobago","LAC",3.56,2018,"Cepal",4.37,-0.81,2015,3.13,2018,"Cepal",3.5194237900000003,-0.38942379000000038,2015,5.39,2018,"CEPAL",6.96,-1.5700000000000003,2015,null,{"$f":"C163*V$4","v":-4.6280000000000002E-3},{"$f":"I163*W$4","v":-2.1909999999999999E-2},{"$f":"O163*X$4","v":-7.5459999999999998E-3},-3.4083999999999996E-2,"MV"]
["Tunisia","MENA",5.1510688,2019,"Nat Budget",5.9074768999999998,-0.75640809999999981,2016,1.4700671999999999,2019,"Nat Budget",1.7243290999999998,-0.25426189999999993,2016,8.91,2011,"ILO",8.91,0,2011,null,null,null,null,-4.6399999999999997E-2,"CEQ"]
["Turkey","ECA",3.71256493217339,2018,"IMF",4.3711599999999997,-0.6585950678266097,2014,3.2765104100000002,"2017","WHO",3,0.27651041000000021,2015,9.8800000000000008,2018,"IMF",9.31,0.57000000000000028,2014,null,{"$f":"C165*V$4","v":-4.8263344118254069E-3},{"$f":"I165*W$4","v":-2.293557287E-2},{"$f":"Source_OECDEU_incidence!I45","v":2.4999999999999967E-2},{"$f":"SUM(V165:X165)","v":-2.7619072818254389E-3},"OECD"]
["Uganda","SSA",2.36,2019,"GSW",2.62,-0.26000000000000023,2017,1.99,2019,"GSW",1.95,4.0000000000000036E-2,2017,2.1,2019,"GSW",1.150055,0.94994500000000004,2011,null,null,null,null,-2.3400000000000001E-2,"CEQ"]
["Ukraine","ECA",5.4122599999999998,2017,"UIS",5.8749399999999996,-0.46267999999999976,2014,3.1227387900000005,"2017","WHO",3.2897858999999996,-0.16704710999999905,2015,18.2,2016,"ILO",18.2,0,2016,null,{"$f":"Source_CEQ_Incidence!G21","v":-0.02},{"$f":"Source_CEQ_Incidence!H21","v":-4.0000000000000001E-3},{"$f":"Source_CEQ_Incidence!I21","v":-0.17},{"$f":"SUM(V167:X167)","v":-0.19400000000000001},"CEQ","New CEQ Study 2019"]
["United Kingdom","ECA",4.9010163741828494,2018,"OECD",4.655961281732746,0.24505509245010337,2016,7.597590620874108,2018,"OECD",7.5796957282875708,1.7894892586537203E-2,2016,15.13747778275167,2018,"OECD",15.79989110232663,-0.6624133195749593,2016,null,{"$f":"C168*V$4","v":-6.3713212864377035E-3},{"$f":"I168*W$4","v":-5.3183134346118759E-2},{"$f":"-Source_OECDEU_incidence!H46","v":-0.11399999999999999},-0.17355445563255645,"OECD"]
["United States","NA",5.9455931030964155,2018,"OECD",6.1004110188488792,-0.15481791575246362,2016,9.3061684945518159,2018,"OECD",9.2302698871644537,7.5898607387362205E-2,2016,7.5410262844231735,2018,"OECD",7.7843479941689555,-0.24332170974578204,2016,null,{"$f":"C169*V$4","v":-7.7292710340253401E-3},{"$f":"I169*W$4","v":-6.514317946186271E-2},{"$f":"-Source_OECDEU_incidence!H47","v":-7.1000000000000008E-2},-0.14387245049588804,"OECD"]
["Uruguay","LAC",5.6212290174790356,2018,"Nat Budget",6.0174660000000006,-0.39623698252096506,2017,{"$f":"VLOOKUP($A170,S2_source_selection,39,FALSE)","v":4.1371975260094045},{"$f":"VLOOKUP($A170,S2_source_selection,40,FALSE)","v":2018},{"$f":"VLOOKUP($A170,S2_source_selection,38,FALSE)","v":"Nat Budget"},4.5296310000000002,-0.39243347399059569,2017,{"$f":"VLOOKUP($A170,S2_source_selection,60,FALSE)","v":9.0107856267364337},{"$f":"VLOOKUP($A170,S2_source_selection,61,FALSE)","v":2018},{"$f":"VLOOKUP($A170,S2_source_selection,59,FALSE)","v":"Nat Budget"},9.6543960000000002,-0.64361037326356652,2017,null,-2.8899999999999999E-2,-3.4799999999999998E-2,-1.9900000000000001E-2,-8.3599999999999994E-2,"CEQ"]
["Uzbekistan","ECA",5.4,2019,"Nat Budget",10.736027400000001,-5.3360274000000008,2016,2.7603287999999999,2019,"Nat Budget",4.5122434,-1.7519146000000001,2016,6.2960850184544146,2018,"AsDB",1.3,4.9960850184544148,2016,null,{"$f":"C171*V$4","v":-7.0200000000000002E-3},{"$f":"I171*W$4","v":-1.9322301600000001E-2},{"$f":"O171*X$4","v":-8.8145190258361802E-3},-3.515682062583618E-2,"MV"]
["Vanuatu","EAP",6.14,2019,"GSW",5.73,0.40999999999999925,2017,3.63,2019,"GSW",2.62,1.0099999999999998,2017,0.62686220000000004,2010,"ILO",0.62686220000000004,0,2010,null,{"$f":"C172*V$4","v":-7.9819999999999995E-3},{"$f":"I172*W$4","v":-2.5409999999999999E-2},{"$f":"O172*X$4","v":-8.7760708000000009E-4},-3.426960708E-2,"MV"]
["Venezuela, RB","LAC",5.79,2014,"Cepal",5.67,0.12000000000000011,2009,3.23,2014,"Cepal",2.6220037,0.60799629999999993,2015,8.7100000000000009,2014,"CEPAL",8.68,3.0000000000001137E-2,2015,null,null,null,null,-4.4699999999999997E-2,"CEQ"]
["Vietnam","EAP",4.1727699999999999,2018,"UIS",4.3899999999999997,-0.21722999999999981,2015,2.7874959800000001,"2017","WHO",1.6,1.18749598,2015,6.3,2015,"ILO",6.3,0,2015,null,{"$f":"Source_CEQ_Incidence!G22","v":-2.4E-2},{"$f":"Source_CEQ_Incidence!H22","v":-7.0000000000000001E-3},{"$f":"Source_CEQ_Incidence!I22","v":-2E-3},{"$f":"SUM(V174:X174)","v":-3.3000000000000002E-2},"CEQ","New CEQ Study 2016"]
["Yemen, Rep.","MENA",4.92,2013,"GSW",4.92,0,2013,1.6,2013,"GSW",0.86727640999999989,0.7327235900000002,2015,5.87,2013,"GSW",5.87,0,2013,null,{"$f":"C175*V$4","v":-6.3959999999999998E-3},{"$f":"I175*W$4","v":-1.1200000000000002E-2},{"$f":"O175*X$4","v":-8.2179999999999996E-3},{"$f":"SUM(V175:X175)","v":-2.5814E-2},"MV","GSW based on Actual Expenditure not Planned"]
["Zambia","SSA",4.2300000000000004,2019,"GSW",4.38,-0.14999999999999947,2017,2.57,2019,"GSW",2.37,0.19999999999999973,2017,3.31,2011,"ILO",3.31,0,2011,null,{"$f":"C176*V$4","v":-5.4990000000000004E-3},{"$f":"I176*W$4","v":-1.7989999999999999E-2},{"$f":"O176*X$4","v":-4.6340000000000001E-3},{"$f":"SUM(V176:X176)","v":-2.8122999999999999E-2},"MV"]
["Zimbabwe","SSA",4.6044900000000002,2018,"UIS",6.4,-1.7955100000000002,2017,0.71,2019,"GSW",1.75,-1.04,2017,0.72,2019,"GSW",3.48,-2.76,2011,null,{"$f":"C177*V$4","v":-5.9858369999999999E-3},{"$f":"I177*W$4","v":-4.9699999999999996E-3},{"$f":"O177*X$4","v":-1.008E-3},{"$f":"SUM(V177:X177)","v":-1.1963837E-2},"MV"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AVERAGE(V8:V177)","v":-1.039492967674514E-2},{"$f":"AVERAGE(W8:W177)","v":-2.500146552292078E-2},{"$f":"AVERAGE(X8:X177)","v":-3.4776517326552785E-2},{"$f":"AVERAGE(Y8:Y177)","v":-7.1498302867612024E-2}]
[null,null,{"$f":"SUM(C8:C177)","v":794.25674344468553},"Check total",null,null,null,null,{"$f":"SUM(I8:I177)","v":610.05711482364745},"Check total",null,null,null,null,{"$f":"SUM(O8:O177)","v":1110.934714048462},"Check total",null,null,null,null,null,{"$f":"SUM(V8:V177)","v":-1.5176597328047905},-3.4752037076859885,-5.1121480470032594,{"$f":"SUM(Y8:Y177)","v":-12.154711487494044},"Check total"]
[]
["Sources"]
["SPENDING DATA","Consisitent with S1 data for spending as % of total spending. See Sources in S1 tab. Conversion between share of spending and share of GDP based on IMF WEO April 2018 database"]
["CEQ","all sectors based on data supplied by Commitment to Equity Institute Data Center, 2 March 2017 (in turn based on information from CEQ country authors and workbooks - see report footnotes for details) and authors estimates."]
["OECD","social protection incidence based on OECD data  from OECD Stat IDD Database, at http://stats.oecd.org/index.aspx?queryid=66670"]
["MV","J. Martinez-Vazquez; B. Moreno-Dodson and V. Vulovic (2011) The Impact of Tax and Expenditure Policies on Income\nDistribution. Georgia State University. Andrew Young School of Public Policy Studies"]

{"sheet":"T1_VAT","index":6,"n_rows":182,"n_cols":16,"rows_kept":182,"cut":false,"hidden":false,"merged":[[181,1,181,9],[0,0,0,15],[2,4,2,8],[2,9,2,11],[173,1,173,9],[174,1,174,9],[175,1,175,9],[176,1,176,9],[177,1,177,9],[178,1,178,9],[179,1,179,9],[180,1,180,9]]}
["INDICATOR T.1A: VAT rate"]
[]
[null,null,null,null,"VAT THRESHOLD APPLIED?",null,null,null,null,"FOOD EXEMPTIONS/DISCOUNTED?"]
["Country Name","Region \n(Geo code)","Inc. Group Code","VATRate (nominal)","PER CAPITA GDP 2019\nIMF WEO Oct-19\nLocal Currency","Threshold in local currency","PER CAPITA GDP x 10\nLocal Currency","Higher / (Lower) than Threshold","Threshold Discount applied","1=Food exempt/zero rate","50% if food exempt or zero rate","discounted rate applied if food @ lower tax rate","VAT rate (after thresholds and discounts)","\nCRII-2\nVAT rate (after thresholds and discounts)","Source","NOTES"]
[1,{"$f":"A5+1","v":2},{"$f":"B5+1","v":3},{"$f":"C5+1","v":4},{"$f":"D5+1","v":5},{"$f":"E5+1","v":6},{"$f":"F5+1","v":7},{"$f":"G5+1","v":8},{"$f":"H5+1","v":9},{"$f":"I5+1","v":10},{"$f":"J5+1","v":11},{"$f":"K5+1","v":12},{"$f":"L5+1","v":13},{"$f":"M5+1","v":14},{"$f":"N5+1","v":15},{"$f":"O5+1","v":16}]
["Afghanistan","SA","LIC",2,{"$f":"VLOOKUP(A6,T_Source_IMFWEOPCGDP,10,FALSE)","v":41152.368999999999},0,{"$f":"E6*10","v":411523.69},{"$f":"F6-G6","v":-411523.69},0,{"$f":"VLOOKUP(A6,T_Source_VAT,11, FALSE)","v":0},{"$f":"IF(J6>0,50%,0%)","v":0},0,{"$f":"D6-SUM(D6*(I6+K6+L6))","v":2},0,"Ministry of Finance Afghanistan","Currently Business Receipts Tax\nVAT being introduced in Afghanistan from December 2020"]
["Albania","ECA","UMIC",20,594268.49399999995,2000000,5942684.9399999995,-3942684.9399999995,{"$f":"IF(SUM(H7>0),50%,0%)","v":0},0,0,0,20,20,"EY VAT 2019"]
["Algeria","MENA","UMIC",19,471017.86099999998,100000,4710178.6099999994,-4610178.6099999994,0,1,0.5,0,9.5,14,"EY VAT 2019\nSantander Trade (threshold)","The zero rate is also applied to all exports and sales to exempted sectors under specific regimes. The standard VAT rate is 19%. The reduced rate is 9%, applying to various basic items listed by law"]
["Angola","SSA","LMIC",14,1044696.4840000001,123146533,10446964.84,112699568.16,0.5,1,0.5,0,0,6,"EY VAT 2019","Standard rate was 10%. Angola introduced Value Added Tax (VAT) January 2019 at a standard rate of 14%. The VAT will replace the existing consumption tax."]
["Antigua and Barbuda","LAC","HIC",15,48894.557000000001,300000,488945.57,-188945.57,0,1,0.5,0,7.5,7.5,"Deloitte","Certain supplies are zero-rated, including exports, basic food items, water, electricity for residential use, sale of new residential property, construction of new residential premises, and fuel"]
["Argentina","LAC","UMIC",21,479511.04499999998,1344065.86,4795110.45,-3451044.59,0,1,0.5,0,10.5,15.75,"EY VAT 2019"]
["Armenia","ECA","UMIC",20,2202900.0389999999,115000000,22029000.390000001,92970999.609999999,0.5,0,0,0,10,10,"EY VAT 2019"]
["Australia","EAP","HIC",10,77567.839999999997,75000,775678.39999999991,-700678.39999999991,0,1,0.5,0,5,5,"EY VAT 2019"]
["Austria","ECA","HIC",20,44540.326999999997,30000,445403.26999999996,-415403.26999999996,0,0,0,{"$f":"SUM((D14-T_Source_VAT!L14)/D14)*50%","v":0.25},15,15,"EY VAT 2019"]
["Azerbaijan","ECA","UMIC",18,7971.9430000000002,200000,79719.430000000008,120280.56999999999,0.5,0,0,0,9,9,"EY VAT 2019"]
["Bahamas, The","LAC","HIC",7.5,33261.315000000002,100000,332613.15000000002,-232613.15000000002,0,1,0.5,0,3.75,null,"EY VAT 2019"]
["Bahrain","MENA","HIC",5,9502.7039999999997,37500,95027.04,-57527.039999999994,0,0,0,0,5,0,"EY VAT 2019","VAT introduced on 1 January 2019"]
["Bangladesh","SA","LMIC",15,164762.89000000001,5000000,1647628.9000000001,3352371.0999999996,{"$f":"IF(SUM(H18>0),50%,0%)","v":0.5},1,{"$f":"IF(J18>0,50%,0%)","v":0.5},0,0,0,"Deloitte"]
["Barbados","LAC","HIC",17.5,36138.769,200000,361387.69,-161387.69,0,1,0.5,0,8.75,8.75,"EY VAT 2019"]
["Belarus","ECA","UMIC",20,13850.571,0,138505.71,-138505.71,0,0,0,{"$f":"SUM((D20-T_Source_VAT!L20)/D20)*50%","v":0.25},15,15,"EY VAT 2019"]
["Belgium","ECA","HIC",21,40224.516000000003,0,402245.16000000003,-402245.16000000003,0,0,0,{"$f":"SUM((D21-T_Source_VAT!L21)/D21)*50%","v":0.35714285714285715},13.5,13.5,"EY VAT 2019"]
["Belize","LAC","UMIC",12.5,9850.3610000000008,75000,98503.610000000015,-23503.610000000015,0,1,0.5,0,6.25,6.25,"Belize Government"]
["Benin","SSA","LIC",18,710594.353,50000000,7105943.5300000003,42894056.469999999,0.5,1,0.5,0,0,0,"Deloitte Africa 2019"]
["Bhutan","SA","LMIC",20,232269.1,0,2322691,-2322691,0,0,0,0,20,20,"Deloitte","GST to be implemented in Bhutan in 2020"]
["Bolivia","LAC","LMIC",13,25182.776999999998,0,251827.77,-251827.77,{"$f":"IF(SUM(H25>0),50%,0%)","v":0},0,{"$f":"IF(J25>0,50%,0%)","v":0},0,13,13,"EY VAT 2019","13% nominal rate, 14.94% effective rate"]
["Botswana","SSA","UMIC",12,84180.989000000001,1000000,841809.89,158190.10999999999,0.5,1,0.5,0,0,0,"EY VAT 2019"]
["Brazil","LAC","UMIC",{"$f":"17+3.5+0.65+3","v":24.15},34277.642,0,342776.42,-342776.42,0,0,0,0,24.15,24.15,"EY VAT 2019","State VAT (ICMS) 0-35% by State.  Standard rate is 17%\nFederal VAT (IPI) 0-300% - no IPI included in CRII as need data on averages\nMunicipal Service Tax (ISS)  0-5%  use average 3.5%\nGross Receipt Contributions (PIS-PASEP & COFINS) - PIS-PASEP 0.65% / COSEP 3%"]
["Bulgaria","ECA","UMIC",20,16575.901000000002,50000,165759.01,-115759.01000000001,0,0,0,0,20,20,"EY VAT 2019"]
["Burkina Faso","SSA","LIC",18,417387.05300000001,0,4173870.5300000003,-4173870.5300000003,0,1,0.5,0,9,0,"Deloitte Africa 2019"]
["Burundi","SSA","LIC",18,586083.68599999999,100000000,5860836.8599999994,94139163.140000001,0.5,0,0,{"$f":"SUM((D30-T_Source_VAT!L30)/D30)*50%","v":0.22222222222222221},5,5,"Deloitte Africa 2019"]
["Cabo Verde","SSA","LMIC",15,351671.223,0,3516712.23,-3516712.23,0,1,0.5,0,7.5,7.5,"PWC"]
["Cambodia","EAP","LMIC",10,6571998.3830000004,250000000,65719983.830000006,184280016.16999999,0.5,1,0.5,0,0,5,"PWC"]
["Cameroon","SSA","LMIC",19.25,884626.55599999998,50000000,8846265.5600000005,41153734.439999998,0.5,1,0.5,0,0,0,"Deloitte Africa 2019","The standard rate of VAT is 17.5%, plus a 10% surcharge, resulting in an effective rate of 19.25%."]
["Canada","NA","HIC",14,61341.254000000001,30000,613412.54,-583412.54,0,1,0.5,0,7,7,"EY VAT 2019\nOCED VAT Rates ","GST is 5% but when combined with State Taxes then becomes HST (as per OECD total is either 13/14/15).  14% is average rate applied across States"]
["Central African Republic","SSA","LIC",19,261656.90599999999,30000000,2616569.06,27383430.940000001,0.5,0,0,{"$f":"SUM((D35-T_Source_VAT!L35)/D35)*50%","v":0.36842105263157893},2.5,9.5,"Crowe\nSociete Generale (food exemption)","Reduced rate of 5% on wheat flour, milk, frozen fish and refined oils\n0% on exports and international transport\nEssential goods, medical services, sales of gold and diamonds are exempt from VAT"]
["Chad","SSA","LIC",18,503025.26899999997,0,5030252.6899999995,-5030252.6899999995,0,1,0.5,0,9,0,"PWC"]
["Chile","LAC","HIC",19,10472848.643999999,0,104728486.44,-104728486.44,0,0,0,0,19,19,"EY VAT 2019","No reduced or higher rates apply. However, additional taxes ranging from 10% to 50% may be imposed under the VAT law on the provision of specific items"]
["China","EAP","UMIC",16,68203.702000000005,{"$f":"20000*12","v":240000},682037.02,-442037.02,0,{"$f":"VLOOKUP(A38,T_Source_VAT,11, FALSE)","v":0},0,{"$f":"SUM((D38-T_Source_VAT!L38)/D38)*50%","v":0.1875},{"$f":"D38-SUM(D38*(I38+K38+L38))","v":13},15,"EY VAT 2019"]
["Colombia","LAC","UMIC",19,20875775.363000002,0,208757753.63000003,-208757753.63000003,0,1,0.5,0,9.5,9.5,"EY VAT 2019"]
["Congo, Dem. Rep.","SSA","LIC",16,844703.92799999996,80000000,8447039.2799999993,71552960.719999999,0.5,1,0.5,0,0,0,"Deloitte Africa 2019"]
["Congo, Rep.","SSA","LMIC",18,1480312.423,0,14803124.23,-14803124.23,0,0,0,{"$f":"SUM((D41-T_Source_VAT!L41)/D41)*50%","v":0.3611111111111111},11.5,9,"Deloitte Africa 2019"]
["Costa Rica","LAC","UMIC",13,7181744.0029999996,0,71817440.030000001,-71817440.030000001,0,0,0,{"$f":"SUM((D42-T_Source_VAT!L42)/D42)*50%","v":0.46153846153846156},7,6.5,"EY VAT 2019"]
["Cote d'Ivoire","SSA","LMIC",18,987837.61699999997,50000000,9878376.1699999999,40121623.829999998,0.5,0,0,{"$f":"SUM((D43-T_Source_VAT!L43)/D43)*50%","v":0.25},4.5,13.5,"Deloitte Africa 2019"]
["Croatia","ECA","HIC",25,98686.672999999995,300000,986866.73,-686866.73,0,0,0,{"$f":"SUM((D44-T_Source_VAT!L44)/D44)*50%","v":0.4},15,15,"EY VAT 2019"]
["Cuba","LAC","UMIC",10,8821.8188912500409,0,88218.188912500409,-88218.188912500409,0,1,0.5,0,5,5,"Nordea","Cuba does not have a VAT system. A sales tax (impuesto sobre la venta) applies to goods destined for use and/or consumption.  A 2% tax is applied on wholesale sales, 10% tax on retail sales and 10% rate on services"]
["Cyprus","ECA","HIC",19,{"$f":"VLOOKUP(A46,T_Source_IMFWEOPCGDP,10,FALSE)","v":24681.719000000001},15600,246817.19,-231217.19,0,0,0,{"$f":"SUM((D46-T_Source_VAT!L46)/D46)*50%","v":0.36842105263157893},12,12,"EY VAT 2019"]
["Czech Republic","ECA","HIC",21,526854.74600000004,1000000,5268547.4600000009,-4268547.4600000009,0,0,0,{"$f":"SUM((D47-T_Source_VAT!L47)/D47)*50%","v":0.14285714285714285},18,18,"EY VAT 2019"]
["Denmark","ECA","HIC",25,395745.75900000002,50000,3957457.5900000003,-3907457.5900000003,0,0,0,0,25,25,"EY VAT 2019"]
["Djibouti","MENA","LMIC",10,521826.72700000001,80000000,5218267.2700000005,74781732.730000004,0.5,1,0.5,0,0,0,"Deloitte Africa 2019\nCRI-1 for Food Exemptions"]
["Dominican Republic","LAC","UMIC",18,438834.66600000003,0,4388346.66,-4388346.66,0,1,0.31,0,12.42,12.42,"EY VAT 2019"]
["Ecuador","LAC","UMIC",12,6249.3919999999998,0,62493.919999999998,-62493.919999999998,0,1,{"$f":"IF(J51>0,50%,0%)","v":0.5},0,6,6,"EY VAT 2019"]
["Egypt, Arab Rep.","MENA","LMIC",14,53667.853000000003,500000,536678.53,-36678.530000000028,0,0,0,{"$f":"SUM((D52-T_Source_VAT!L52)/D52)*50%","v":0.32142857142857145},9.5,2.5,"EY VAT 2019"]
["El Salvador","LAC","LMIC",13,4008.0239999999999,{"$f":"5714.29*8.5554","v":48888.036666},40080.239999999998,8807.796666000002,0.5,0,0,0,6.5,6.5,"EY VAT 2019"]
["Estonia","ECA","HIC",20,20945.501,40000,209455.01,-169455.01,0,0,0,0,20,20,"EY VAT 2019"]
["Eswatini","SSA","LMIC",15,59604.769,500000,596047.68999999994,-96047.689999999944,0,1,0.5,0,7.5,7,"Deloitte Africa 2019"]
["Ethiopia","SSA","LIC",15,27588.567999999999,1000000,275885.68,724114.32000000007,0.5,1,0.5,0,0,0,"Deloitte Africa 2019"]
["Fiji","EAP","UMIC",9,13663.968000000001,100000,136639.67999999999,-36639.679999999993,{"$f":"IF(SUM(H57>0),50%,0%)","v":0},0,0,0,9,9,"PWC"]
["Finland","ECA","HIC",24,43389.777000000002,10000,433897.77,-423897.77,0,0,0,{"$f":"SUM((D58-T_Source_VAT!L58)/D58)*50%","v":0.20833333333333334},19,19,"EY VAT 2019"]
["France","ECA","HIC",20,37183.805,82800,371838.05,-289038.05,0,0,0,{"$f":"SUM((D59-T_Source_VAT!L59)/D59)*50%","v":0.36249999999999999},12.75,12.75,"EY VAT 2019"]
["Gambia, The","SSA","LIC",15,37967.1,1000000,379671,620329,0.5,1,0.5,0,0,0,"Deloitte Africa 2019"]
["Georgia","ECA","UMIC",18,12052.637000000001,100000,120526.37000000001,-20526.37000000001,0,0,0,0,18,18,"EY VAT 2019"]
["Germany","ECA","HIC",19,41460.756000000001,0,414607.56,-414607.56,0,0,0,{"$f":"SUM((D62-T_Source_VAT!L62)/D62)*50%","v":0.31578947368421051},13,13,"EY VAT 2019"]
["Ghana","SSA","LMIC",17.5,11534.078,200000,115340.78,84659.22,0.5,1,0.5,0,0,0,"EY VAT 2019","Standard Rate 12.5% plus GETFund and NHIA Levy (2.5 + 2.5 respectively)"]
["Greece","ECA","HIC",24,17734.928,0,177349.28,-177349.28,0,0,0,{"$f":"SUM((D64-T_Source_VAT!L64)/D64)*50%","v":0.22916666666666666},18.5,18.5,"EY VAT 2019"]
["Guatemala","LAC","UMIC",12,35968.468999999997,0,359684.68999999994,-359684.68999999994,0,1,0.5,0,6,6,"EY VAT 2019"]
["Guinea","SSA","LIC",18,9216375.0040000007,500000000,92163750.040000007,407836249.95999998,0.5,1,0.5,0,0,9,"Deloitte Africa 2019"]
["Guinea-Bissau","SSA","LIC",17,457111.20400000003,0,4571112.04,-4571112.04,0,1,0.5,0,8.5,7.5,"Crowe\nCRI-1 for Food Exemptions"]
["Guyana","LAC","UMIC",14,1086445.936,15000000,10864459.359999999,4135540.6400000006,0.5,1,0.5,0,0,0,"PWC\nGuyana Revenue Authority (threshold)"]
["Haiti","LAC","LIC",10,66111.417000000001,500000,661114.17000000004,-161114.17000000004,0,0,0,0,10,10,"Societe Generale"]
["Honduras","LAC","LMIC",15,63673.624000000003,250000,{"$f":"E70*10","v":636736.24},{"$f":"F70-G70","v":-386736.24},0,{"$f":"VLOOKUP(A70,T_Source_VAT,11, FALSE)","v":1},0.5,0,{"$f":"D70-SUM(D70*(I70+K70+L70))","v":7.5},7.5,"EY VAT 2019"]
["Hong Kong SAR, China","EAP","HIC",0,386386.60600000003,0,3863866.0600000005,-3863866.0600000005,0,0,0,0,0]
["Hungary","ECA","HIC",27,4645233.5049999999,0,46452335.049999997,-46452335.049999997,0,0,0,{"$f":"SUM((D72-T_Source_VAT!L72)/D72)*50%","v":0.16666666666666666},22.5,22.5,"EY VAT 2019"]
["Iceland","ECA","HIC",24,8214907.1169999996,2000000,82149071.170000002,-80149071.170000002,0,0,0,{"$f":"SUM((D73-T_Source_VAT!L73)/D73)*50%","v":0.27083333333333331},17.5,17.5,"EY VAT 2019"]
["India","SA","LMIC",18,154600.53200000001,4000000,1546005.32,2453994.6799999997,0.5,1,0.5,0,0,12.5,"PWC","Ranges from 5% to 28% among States - general rate taken at 18% (see below)\nGST is a comprehensive ‘consumption tax’ levied on the supply of all goods and services. Indian GST is a dual model:\n\nCentral GST (CGST), levied by the Central Government.\nState GST (SGST)/Union Territory GST (UTGST), levied by the State Government/Union Territories.\nIn case of intra-state supply of goods and services, CGST+SGST/UTGST would become applicable, and in case of inter-state supply of goods and services, Integrated GST (IGST) would become applicable. IGST is a sum of CGST and SGST/UTGST. The rate of GST varies from 5% to 28% depending upon the category of goods and services, the general rate of tax being 18%. Additionally, some categories of goods/services, like vehicles, aerated beverages, etc., notified by the government are subject to Compensation Cess under GST.\nThe threshold limit for the purpose of obtaining GST registration is INR 2 million aggregate turnover in a tax year (INR 1 million for some special category states, like the North Eastern states)"]
["Indonesia","EAP","LMIC",10,60209291.873999998,4800000000,602092918.74000001,4197907081.2600002,0.5,1,0.5,0,0,0,"EY VAT 2019"]
["Ireland","ECA","HIC",23,69247.782000000007,37500,692477.82000000007,-654977.82000000007,0,1,0.5,0,11.5,11.5,"EY VAT 2019"]
["Israel",null,"HIC",17,153594.11499999999,99003,1535941.15,-1436938.15,0,0,0,0,17,17,"EY VAT 2019"]
["Italy","ECA","HIC",22,29212.799999999999,0,292128,-292128,0,0,0,{"$f":"SUM((D78-T_Source_VAT!L78)/D78)*50%","v":0.40909090909090912},13,13,"EY VAT 2019"]
["Jamaica","LAC","UMIC",16.5,{"$f":"VLOOKUP(A79,T_Source_IMFWEOPCGDP,10,FALSE)","v":729366.06400000001},3000000,7293660.6400000006,-4293660.6400000006,0,1,0.5,0,8.25,8.25,"PWC"]
["Japan","EAP","HIC",8,4419633.1689999998,10000000,44196331.689999998,-34196331.689999998,0,0,0,0,8,8,"EY VAT 2019"]
["Jordan","MENA","UMIC",16,3110.0970000000002,75000,31100.97,43899.03,0.5,0,0,{"$f":"SUM((D81-T_Source_VAT!L81)/D81)*50%","v":0.1875},5,2,"EY VAT 2019"]
["Kazakhstan","ECA","UMIC",12,3511245.6230000001,{"$f":"30000*2525","v":75750000},35112456.230000004,40637543.769999996,0.5,0,0,0,6,6,"EY VAT 2019"]
["Kenya","SSA","LMIC",16,203965.88200000001,5000000,2039658.82,2960341.1799999997,0.5,1,0.5,0,0,0,"EY VAT 2019"]
["Kiribati","EAP","LMIC",12.5,2244.8809999999999,100000,22448.809999999998,77551.19,0.5,1,0.5,0,0,0,"Ministry of Finance & Economic Devpy Kiribati"]
["Korea, Rep.","EAP","HIC",10,36910444.75,0,369104447.5,-369104447.5,0,1,0.5,0,5,5,"EY VAT 2019"]
["Kosovo","ECA","UMIC",18,3955.4969999999998,30000,39554.97,-9554.9700000000012,0,0,0,{"$f":"SUM((D86-T_Source_VAT!L86)/D86)*50%","v":0.27777777777777779},13,13,"EY VAT 2019"]
["Kyrgyz Republic","ECA","LMIC",12,91660.758000000002,8000000,916607.58000000007,7083392.4199999999,0.5,1,0.5,0,0,0,"PWC\nCRI-1 for Food Exemptions"]
["Lao PDR","EAP","LMIC",10,22915340.526999999,400000000,229153405.26999998,170846594.73000002,0.5,1,0.5,0,0,0,"PWC\nLao Tax Office (threshold)"]
["Latvia","ECA","HIC",21,16180.109,40000,161801.09,-121801.09,{"$f":"IF(SUM(H89>0),50%,0%)","v":0},0,0,{"$f":"SUM((D89-T_Source_VAT!L89)/D89)*50%","v":0.38095238095238093},13,21,"EY VAT 2019"]
["Lebanon","MENA","UMIC",11,14554618.026000001,100000000,145546180.25999999,-45546180.25999999,0,1,0.5,0,5.5,5,"EY VAT 2019","1% increase 1 January 2018"]
["Lesotho","SSA","LMIC",15,19910.375,850000,199103.75,650896.25,0.5,1,0.5,0,0,0,"Deloitte Africa 2019","1% increase 1 April 2018"]
["Liberia","SSA","LIC",10,703.82600000000002,{"$f":"3000000/187","v":16042.780748663101},7038.26,9004.5207486631007,0.5,0,0,0,5,0,"Liberia Revenue Authority"]
["Lithuania","ECA","HIC",21,17155.222000000002,60000,171552.22000000003,-111552.22000000003,0,0,0,0,21,21,"EY VAT 2019"]
["Luxembourg","ECA","HIC",17,100321.814,0,1003218.14,-1003218.14,0,0,0,{"$f":"SUM((D94-T_Source_VAT!L94)/D94)*50%","v":0.41176470588235292},10,10,"EY VAT 2019"]
["Madagascar","SSA","LIC",20,1672407.4480000001,200000000,16724074.48,183275925.52000001,0.5,0,0,0,10,10,"EY VAT 2019"]
["Malawi","SSA","LIC",16.5,279307.37099999998,10000000,2793073.71,7206926.29,0.5,1,0.5,0,0,0,"PWC"]
["Malaysia","EAP","UMIC",10,46545.237000000001,500000,465452.37,34547.630000000005,0.5,1,0.5,0,0,0,"EY VAT 2019"]
["Maldives","SA","UMIC",6,239818.198,1000000,2398181.98,-1398181.98,0,1,0.5,0,3,3,"EY VAT 2019"]
["Mali","SSA","LIC",18,537270.995,50000000,5372709.9500000002,44627290.049999997,0.5,1,0.5,0,0,0,"Crowe\nTax Code of Mai (exemptions)"]
["Malta","MENA","HIC",18,27291.027999999998,0,272910.27999999997,-272910.27999999997,0,1,0.5,0,9,9,"EY VAT 2019"]
["Mauritania","SSA","LMIC",16,51542.716,0,515427.16000000003,-515427.16000000003,0,1,0.5,0,8,8,"Deloitte Africa 2019\nMauritania Tax Code for Food Exemptions","The standard rate of VAT is 16%. A higher rate of 18% applies to telecommunications services and 20% to petroleum products"]
["Mauritius","SSA","UMIC",15,400191.09700000001,6000000,4001910.97,1998089.0299999998,0.5,{"$f":"VLOOKUP(A102,T_Source_VAT,11, FALSE)","v":1},0.5,0,0,0,"EY VAT 2019"]
["Mexico","LAC","UMIC",16,194203.58100000001,0,1942035.81,-1942035.81,0,1,0.5,0,8,8,"EY VAT 2019"]
["Moldova","ECA","LMIC",20,58533.114000000001,1200000,585331.14,614668.86,0.5,1,0,0.16,6.7999999999999989,6.7999999999999989,"EY VAT 2019"]
["Mongolia","EAP","LMIC",10,11251846.998,10000000,112518469.97999999,-102518469.97999999,0,1,{"$f":"IF(J105>0,50%,0%)","v":0.5},0,5,5,"EY VAT 2019"]
["Montenegro","ECA","UMIC",21,7713.97,18000,77139.7,-59139.7,0,0,0,{"$f":"SUM((D106-T_Source_VAT!L106)/D106)*50%","v":0.33333333333333331},14,null,"PWC"]
["Morocco","MENA","LMIC",20,32366.48,0,323664.8,-323664.8,0,1,0.5,0,10,10,"EY VAT 2019"]
["Mozambique","SSA","LIC",17,30371.846000000001,0,303718.46000000002,-303718.46000000002,0,1,0.5,0,8.5,8.5,"Deloitte Africa 2019"]
["Myanmar","EAP","LMIC",5,1970195.5649999999,50000000,19701955.649999999,30298044.350000001,0.5,1,0.5,0,0,0,"EY VAT 2019"]
["Namibia","SSA","UMIC",15,81453,200000,814530,-614530,0,1,0.5,0,7.5,7.5,"EY VAT 2019"]
["Nepal","SA","LIC",13,{"$f":"VLOOKUP(A111,T_Source_IMFWEOPCGDP,10,FALSE)","v":121747.276},2000000,1217472.76,782527.24,0.5,1,0.5,0,0,0,"Nepal Inland Revenue Dept"]
["Netherlands","ECA","HIC",21,46628.536,0,466285.36,-466285.36,0,0,0,{"$f":"SUM((D112-T_Source_VAT!L112)/D112)*50%","v":0.2857142857142857},15,13.5,"EY VAT 2019","Reduced rate for foodstuffs increased from 6% to 9% from 2019"]
["New Zealand","EAP","HIC",15,60523.425000000003,60000,605234.25,-545234.25,0,0,0,0,15,15,"EY VAT 2019"]
["Nicaragua","LAC","LMIC",15,63598.686999999998,0,635986.87,-635986.87,0,1,0.5,0,7.5,7.5,"EY VAT 2019"]
["Niger","SSA","LIC",19,232369.40700000001,0,2323694.0700000003,-2323694.0700000003,0,1,0.5,0,9.5,0,"Grant Thornton 2018\nNiger Tax Code (exemptions)"]
["Nigeria","SSA","LMIC",5,722151.83100000001,0.1,7221518.3100000005,-7221518.2100000009,0,1,0.5,0,2.5,2.5,"EY VAT 2019"]
["North Macedonia","ECA","UMIC",18,334248.587,1000000,3342485.87,-2342485.87,0,0,0,{"$f":"SUM((D117-T_Source_VAT!L117)/D117)*50%","v":0.3611111111111111},11.5,null,"EY VAT 2019"]
["Norway","ECA","HIC",25,682720.66599999997,50000,6827206.6600000001,-6777206.6600000001,0,0,0,{"$f":"SUM((D118-T_Source_VAT!L118)/D118)*50%","v":0.2},20,20,"EY VAT 2019"]
["Occupied Palestinian Territory","MENA","LMIC",16,{"$f":"SUM(54205/15428)*2943","v":10339.986712470833},0,103399.86712470833,-103399.86712470833,0,0,0,0,16,16,"Palestinian Investment Promotion Agency"]
["Oman","MENA","HIC",0,{"$f":"VLOOKUP(A120,T_Source_IMFWEOPCGDP,10,FALSE)","v":6840.65},0,68406.5,-68406.5,0,0,0,0,0,0,"EY VAT 2019","VAT is not levied\nOman has announced its intention, along with other Gulf Cooperation Council (GCC) member countries, to implement VAT. The implementation date is expected to be between 1 September 2019 and 1 January 2020. The rate of VAT will be 5%"]
["Pakistan","SA","LMIC",17,188340.166,10000000,1883401.66,8116598.3399999999,{"$f":"IF(SUM(H121>0),50%,0%)","v":0.5},1,{"$f":"50%*(100%-46.7%)","v":0.26649999999999996},0,3.9695,3.9695,"EY VAT 2019"]
["Panama","LAC","HIC",7,16245.451999999999,36000,162454.51999999999,-126454.51999999999,0,1,{"$f":"IF(J122>0,50%,0%)","v":0.5},0,3.5,3.5,"EY VAT 2019"]
["Papua New Guinea","EAP","LMIC",10,9320.9140000000007,250000,93209.140000000014,156790.85999999999,0.5,0,{"$f":"IF(J123>0,50%,0%)","v":0},0,5,5,"EY VAT 2019"]
["Paraguay","LAC","UMIC",10,35079121.158,0,350791211.57999998,-350791211.57999998,0,0,{"$f":"IF(J124>0,50%,0%)","v":0},{"$f":"SUM((D124-T_Source_VAT!L124)/D124)*50%","v":0.25},7.5,7.5,"EY VAT 2019"]
["Peru","LAC","UMIC",18,23856.675999999999,0,238566.76,-238566.76,0,0.5,0.17,0,14.94,14.94,"EY VAT 2019"]
["Philippines","EAP","LMIC",12,172959.84700000001,3000000,1729598.4700000002,1270401.5299999998,0.5,1,{"$f":"IF(J126>0,50%,0%)","v":0.5},0,0,6,"EY VAT 2019"]
["Poland","ECA","HIC",23,59429.468999999997,200000,594294.68999999994,-394294.68999999994,0,0,0,{"$f":"SUM((D127-T_Source_VAT!L127)/D127)*50%","v":0.39130434782608697},14,14,"EY VAT 2019"]
["Portugal","ECA","HIC",23,20506.701000000001,0,205067.01,-205067.01,0,0,0,{"$f":"SUM((D128-T_Source_VAT!L128)/D128)*50%","v":0.36956521739130432},14.5,14.5,"EY VAT 2019"]
["Romania","ECA","UMIC",19,52633.482000000004,88500,526334.82000000007,-437834.82000000007,0,0,0,{"$f":"SUM((D129-T_Source_VAT!L129)/D129)*50%","v":0.26315789473684209},14,14,"EY VAT 2019"]
["Russian Federation","ECA","UMIC",20,743526.87899999996,0,7435268.7899999991,-7435268.7899999991,0,0,0,{"$f":"SUM((D130-T_Source_VAT!L130)/D130)*50%","v":0.25},15,14,"EY VAT 2019"]
["Rwanda","SSA","LIC",18,743324.26899999997,20000000,7433242.6899999995,12566757.310000001,0.5,1,0.5,0,0,9,"EY VAT 2019"]
["Samoa","EAP","UMIC",15,11706.344999999999,130000,117063.45,12936.550000000003,0.5,1,0.5,0,0,7.5,"Samoa Ministry for Revenue"]
["Sao Tome and Principe","SSA","LMIC",10,41980.343999999997,0,419803.43999999994,-419803.43999999994,0,{"$f":"VLOOKUP(A133,T_Source_VAT,11, FALSE)","v":0},0,0,10,0,"Deloittes","10% standard VAT rate being introduced from March 2020"]
["Senegal","SSA","LMIC",18,833972.91,0,8339729.1000000006,-8339729.1000000006,{"$f":"IF(SUM(H134>0),50%,0%)","v":0},1,{"$f":"IF(J134>0,50%,0%)","v":0.5},0,9,9,"Deloitte Africa 2019\nCRI-1 for Food Exemptions"]
["Serbia","ECA","UMIC",20,776427.98899999994,8000000,{"$f":"E135*10","v":7764279.8899999997},{"$f":"F135-G135","v":235720.11000000034},0.5,0,0,{"$f":"SUM((D135-T_Source_VAT!L135)/D135)*50%","v":0.25},{"$f":"D135-SUM(D135*(I135+K135+L135))","v":5},5,"EY VAT 2019"]
["Seychelles","SSA","HIC",15,240624.05,2000000,2406240.5,-406240.5,0,1,0.5,0,7.5,7.5,"Deloitte Africa 2019"]
["Sierra Leone","SSA","LIC",15,4901985.1140000001,350000000,49019851.140000001,300980148.86000001,0.5,0,0,0,7.5,7.5,"Deloitte Africa 2019"]
["Singapore","EAP","HIC",7,87842.760999999999,1000000,878427.61,121572.39000000001,0.5,0,0,0,3.5,3.5,"EY VAT 2019"]
["Slovak Republic","ECA","HIC",20,17405.309000000001,49790,174053.09000000003,-124263.09000000003,0,0,0,{"$f":"SUM((D139-T_Source_VAT!L139)/D139)*50%","v":0.25},15,10,"EY VAT 2019"]
["Slovenia","ECA","HIC",22,23302.092000000001,50000,233020.92,-183020.92,0,0,0,{"$f":"SUM((D140-T_Source_VAT!L140)/D140)*50%","v":0.28409090909090912},15.75,15.75,"EY VAT 2019"]
["Solomon Islands","EAP","LMIC",10,18266.042000000001,0,182660.42,-182660.42,0,0,0,0,10,10,"Inland Revenue Division Solomon Islands"]
["South Africa","SSA","UMIC",15,87055.847999999998,1000000,870558.48,129441.52000000002,0.5,1,{"$f":"50%*(100%-36%)","v":0.32},0,2.6999999999999993,2.5199999999999996,"EY VAT 2019","additional calculation entered in food exemption - no note!"]
["South Sudan","SSA","LIC",20,60678.258000000002,0,606782.58000000007,-606782.58000000007,0,0,0,null,20,18,"Deloitte Africa 2019"]
["Spain","ECA","HIC",21,26677.484,0,266774.84000000003,-266774.84000000003,{"$f":"IF(SUM(H144>0),50%,0%)","v":0},0,{"$f":"IF(J144>0,50%,0%)","v":0},{"$f":"SUM((D144-T_Source_VAT!L144)/D144)*50%","v":0.40476190476190477},12.5,12.5,"EY VAT 2019"]
["Sri Lanka","SA","UMIC",15,704446.63,12000000,7044466.2999999998,4955533.7,0.5,1,0.5,0,0,0,"PWC\nSri Lanka Inland Revenue (threshold)"]
["St. Lucia","LAC","UMIC",12.5,29904.987000000001,400000,299049.87,100950.13,0.5,1,0.5,0,0,0,"EY VAT 2019"]
["St. Vincent and the Grenadines","LAC","UMIC",16,20927.136999999999,120000,209271.37,-89271.37,0,1,0.5,0,8,7.5,"Deloitte"]
["Sweden","ECA","HIC",25,483866.11900000001,30000,4838661.1900000004,-4808661.1900000004,0,0,0,{"$f":"SUM((D148-T_Source_VAT!L148)/D148)*50%","v":0.26},18.5,18.5,"EY VAT 2019"]
["Switzerland","ECA","HIC",7.7,82789.729000000007,100000,827897.29,-727897.29,0,0,0,{"$f":"SUM((D149-T_Source_VAT!L149)/D149)*50%","v":0.33766233766233766},5.0999999999999996,5.25,"EY VAT 2019"]
["Tajikistan","ECA","LIC",18,8362.5360000000001,1000000,83625.36,916374.64,0.5,0,0,0,9,9,"PWC\nCRI-1 for Food Exemptions"]
["Tanzania","SSA","LIC",18,2551090.878,100000000,25510908.780000001,74489091.219999999,0.5,0,0,0,9,9,"EY VAT 2019"]
["Thailand","EAP","UMIC",7,249171.095,1800000,2491710.9500000002,-691710.95000000019,0,1,0.5,0,3.5,7,"EY VAT 2019","Removal of special reduced rate expected after 30 September 2020 back to standard 10%"]
["Timor-Leste","EAP","LMIC",5,2262.8420000000001,{"$f":"500*12","v":6000},22628.420000000002,-16628.420000000002,0,1,0.5,0,2.5,2.5,"PWC"]
["Togo","SSA","LIC",18,390318.45500000002,60000000,3903184.5500000003,56096815.450000003,0.5,0,0,{"$f":"SUM((D154-T_Source_VAT!L154)/D154)*50%","v":0.22222222222222221},5,0,"Deloitte Africa 2019"]
["Tonga","EAP","UMIC",15,11138.287,100000,111382.87,-11382.869999999995,0,0,0,0,15,7.5,"Ministry of Revenue & Customs Tonga"]
["Trinidad and Tobago","LAC","HIC",12.5,110807.69,500000,1108076.8999999999,-608076.89999999991,0,1,0.5,0,6.25,6.25,"EY VAT 2019"]
["Tunisia","MENA","LMIC",19,9696.7039999999997,100000,96967.039999999994,3032.9600000000064,0.5,1,0.5,0,0,9,"EY VAT 2019","1% increase 1 January 2018"]
["Turkey","ECA","UMIC",18,51462.192999999999,0,514621.93,-514621.93,0,0,0,{"$f":"SUM((D158-T_Source_VAT!L158)/D158)*50%","v":0.47222222222222221},9.5,9.5,"EY VAT 2019"]
["Uganda","SSA","LIC",18,2911693.9180000001,150000000,29116939.18,120883060.81999999,0.5,1,0.5,0,0,0,"EY VAT 2019"]
["Ukraine","ECA","LMIC",20,96090.623999999996,1000000,960906.23999999999,39093.760000000009,0.5,0,0,0,10,10,"EY VAT 2019"]
["United Kingdom","ECA","HIC",20,32675.466,85000,326754.66000000003,-241754.66000000003,0,1,0.5,0,10,10,"EY VAT 2019"]
["United States","NA","HIC",8.6289999999999996,65111.595999999998,0,651115.96,-651115.96,0,{"$f":"VLOOKUP(A162,T_Source_VAT,11, FALSE)","v":0},0,0,8.6289999999999996,8.6289999999999996,"Thomson Reuters","combined average US sales tax rate"]
["Uruguay","LAC","HIC",22,568513.72100000002,0,5685137.21,-5685137.21,0,0,0,{"$f":"SUM((D163-T_Source_VAT!L163)/D163)*50%","v":0.27272727272727271},16,16,"EY VAT 2019"]
["Uzbekistan","ECA","LMIC",15,15847220.834000001,1000000000,158472208.34,841527791.65999997,0.5,1,0.5,0,0,20,"PWC"]
["Vanuatu","EAP","LMIC",15,365963.09,4000000,3659630.9000000004,340369.09999999963,0.5,0,0,0,7.5,6.25,"Vanuatu Customs & Inland Revenue Dept"]
["Venezuela, RB","LAC","UMIC",16,{"$f":"VLOOKUP(A166,T_Source_IMFWEOPCGDP,9,FALSE)","v":70637.675000000003},0,706376.75,-706376.75,0,1,0.5,0,8,6,"EY VAT 2019"]
["Vietnam","EAP","LMIC",10,{"$f":"VLOOKUP(A167,T_Source_IMFWEOPCGDP,10,FALSE)","v":63721807.186999999},0,637218071.87,-637218071.87,0,0,0,{"$f":"SUM((D167-T_Source_VAT!L167)/D167)*50%","v":0.25},7.5,10,"EY VAT 2019"]
["Yemen, Rep.","MENA","LIC",5,{"$f":"VLOOKUP(A168,T_Source_IMFWEOPCGDP,10,FALSE)","v":533932.321},50000000,5339323.21,44660676.789999999,0.5,1,0.5,0,0,0,"PKF 2016/17"]
["Zambia","SSA","LMIC",16,{"$f":"VLOOKUP(A169,T_Source_IMFWEOPCGDP,10,FALSE)","v":17111.300999999999},800000,171113.01,628886.99,0.5,1,0.5,0,0,0,"EY VAT 2019"]
["Zimbabwe","SSA","LMIC",15,{"$f":"VLOOKUP(A170,T_Source_IMFWEOPCGDP,10,FALSE)","v":6538.61},60000,65386.1,-5386.0999999999985,0,1,0.5,0,7.5,0,"EY VAT 2019"]
[]
[null,null,null,null,null,null,null,null,null,null,"Internal Use Only","Check Total",{"$f":"SUM(M6:M170)","v":1326.9585},{"$f":"SUM(N6:N170)","v":1325.6785}]
["Sources"]
["PWC","WorldWide Tax Summaries: http://www.pwc.com/gx/en/services/tax/corporate-tax/worldwide-tax-summaries.html"]
["Crowe","Crowe  Africa VAT/GST Guide 2018/19\nhttps://www.crowe.com/sc/-/media/Crowe/Firms/Middle-East-and-Africa/sc/CroweHorwathSC/PDF-and-Brochures/Africa-VAT-guide-2018-19.pdf?la=en-US&hash=E177B90934BEA258C1CEA99353552173AE197F47\nTax Information as at ?"]
["Deloitte Africa 2018","Deloitte Guide to Fiscal Information - Key Economies in Africa 2018:   https://www2.deloitte.com/content/dam/Deloitte/za/Documents/tax/za_Key_Fiscal_Guide_2018_17518.pdf\nTax Information as at February 2018 based on information available March 2018"]
["Deloitte Africa 2019","Deloitte Guide to Fiscal Information - Key Economies in Africa 2019:   https://www2.deloitte.com/content/dam/Deloitte/za/Documents/tax/za_Key_Fiscal_Guide_2018_17518.pdf\nTax Information as at February 2019 based on information available April/May 2019"]
["EY VAT 2019","EY Worldwide VAT, GST and Sales Tax Guide 2019: https://www.ey.com/en_gl/tax-guides/worldwide-vat-gst-and-sales-tax-guide-2019\nVAT Information as at 1 January 2019  & report produced April 2019"]
["Grant Thornton 2018","Grant Thornton International indirect tax guide 2018:  https://www.grantthornton.co.uk/globalassets/1.-member-firms/united-kingdom/pdf/documents/international-indirect-tax-guide-2018.pdf"]
["Santander Trade","Santander Country Profiles - individual country profile links added as comments in to database\nhttps://en.portal.santandertrade.com/establish-overseas"]
["Societe Generale","Societe Generale Country Profiles - individual country profile links added as comments in to database\nhttps://import-export.societegenerale.fr/en/find-your-market/country"]
["PKF 2017-18","PKF Worldwide Tax Guide 2017-18\nhttp://www.pkf.com/publications/tax-guides/pkf-international-worldwide-tax-guide/\nproduced May 2017"]

{"sheet":"T1_CIT","index":7,"n_rows":182,"n_cols":7,"rows_kept":182,"cut":false,"hidden":false,"merged":[[196,1,196,2],[190,1,190,2],[191,1,191,2],[192,1,192,2],[193,1,193,2],[194,1,194,2],[195,1,195,2],[175,1,175,6],[176,1,176,6],[177,1,177,6],[178,1,178,6],[189,1,189,2],[179,1,179,6],[180,1,180,6],[181,1,181,6],[183,1,183,2],[184,1,184,2],[185,1,185,2],[186,1,186,2],[187,1,187,2],[188,1,188,2],[0,0,0,6],[1,3,1,6],[172,1,172,6],[173,1,173,6],[174,1,174,6]]}
["INDICATOR T1A: CIT"]
[null,null,null,"CORPORATION TAX (CIT)"]
["Country Name","Region (code)","Inc. Group Code","CIT RATE","CRII-2\nCIT RATE","Source","NOTES"]
[1,2,3,4,5,6,7]
["Afghanistan","SA","LIC",20,20,"EY CT 2019"]
["Albania","ECA","UMIC",15,15,"EY CT 2019","15% - turnover exceeding ALL 14 million\n5% - turnover from ALL8-14 million\n5% turnover for Small Business between ALL5-8 million"]
["Algeria","MENA","UMIC",23,23,"EY CT 2019","19/23/26% rates\n19% (production), 23% (construction/tourism), 26% (other)"]
["Angola","SSA","LMIC",30,30,"EY CT 2019","Income from certain activities, such as agriculture, forestry and cattle raising, is subject to tax at a rate of 15%. Mining activities are subject to tax at a rate of 25%. Oil and gas companies are subject to Oil Income Tax rather than Industrial Tax (corporate income tax)."]
["Antigua and Barbuda","LAC","HIC",25,25,"PKF 2019/20"]
["Argentina","LAC","UMIC",30,35,"EY CT 2019","From 1 January 2020 rate futher reduced to 25%"]
["Armenia","ECA","UMIC",20,20,"EY CT 2019"]
["Australia","EAP","HIC",27.5,27.5,"EY CT 2019","From 2018-19, a 27.5% company tax rate applies to companies with less than AUD50 million of turnover"]
["Austria","ECA","HIC",25,25,"EY CT 2019"]
["Azerbaijan","ECA","UMIC",20,20,"EY CT 2019"]
["Bahamas, The","LAC","HIC",0,null,"EY CT 2019"]
["Bahrain","MENA","HIC",0,0,"EY CT 2019","Oil and gas companies are subject to a special income tax"]
["Bangladesh","SA","LMIC",35,35,"EY CT 2019","The tax law generally maintains the previous corporate rate structure, which imposes income tax at 25 percent on listed entities and 35 percent for non-listed entities"]
["Barbados","LAC","HIC",5.5,25,"EY CT 2019","• Taxable income up to USD500,000: 5.5%\n• Taxable income between USD500,000 to USD10 million: 3%\n• Taxable income between USD10 million and USD15 million: 2.5%\n• Taxable income over USD15 million: 1%"]
["Belarus","ECA","UMIC",18,18,"EY CT 2019","The 18% rate is the standard profits tax rate. The 25% rate applies to profits of banks and insurance companies"]
["Belgium","ECA","HIC",{"$f":"29.58","v":29.58},33.99,"PKF 2019/20","Includes crisis levy.  This being abolished in 2020 and rate will fall to 25%"]
["Belize","LAC","UMIC",25,25,"PKF 2019/20"]
["Benin","SSA","LIC",30,30,"Deloitte Africa 2019","The corporate income tax rate for non-industrial companies and partners that opt for corporate income taxation is 30%. Industrial companies are subject to a 25% rate. The rate is between 35% and 45% for oil companies carrying out research and the exploitation, production and sale of natural hydrocarbons. Branches of foreign companies are subject to the same rate as domestic companies, but they also are subject to a 15% branch tax on profits remitted to the head office"]
["Bhutan","SA","LMIC",30,30,"Societe Generale"]
["Bolivia","LAC","LMIC",25,25,"PKF 2019/20"]
["Botswana","SSA","UMIC",22,22,"EY CT 2019","For approved manufacturing companies, the rate is 15%."]
["Brazil","LAC","UMIC",{"$f":"15+10+9","v":34},34,"EY CT 2019","The basic rate of CIT is 15%, increased by a surtax of 10% on annual taxable profits exceeding BRL240,000 (approximately USD73,000)\nSocial Contribution Tax. SCT is levied at a general rate of 9%."]
["Bulgaria","ECA","UMIC",10,10,"EY CT 2019"]
["Burkina Faso","SSA","LIC",27.5,27.5,"Deloitte Africa 2019"]
["Burundi","SSA","LIC",30,32.5,"Deloitte Africa 2019"]
["Cabo Verde","SSA","LMIC",22,25,"EY CT 2019","Micro- and small-sized companies can benefit from a 4% reduced rate,"]
["Cambodia","EAP","LMIC",20,20,"EY CT 2019"]
["Cameroon","SSA","LMIC",33,33,"EY CT 2019"]
["Canada","NA","HIC",{"$f":"15+11.7","v":26.7},26.7,"OECD","Federal CIT Rate 15% + average sub-central CIT of 11.7% (OECD Tax database)"]
["Central African Republic","SSA","LIC",30,30,"Societe Generale"]
["Chad","SSA","LIC",35,35,"EY CT 2019"]
["Chile","LAC","HIC",25,25,"EY CT 2019"]
["China","EAP","UMIC",25,25,"EY CT 2019"]
["Colombia","LAC","UMIC",33,34,"EY CT 2019"]
["Congo, Dem. Rep.","SSA","LIC",30,35,"EY CT 2019","The corporate income tax rate is 30% for mining companies - changed to ALL companies in 2019"]
["Congo, Rep.","SSA","LMIC",30,30,"EY CT 2019"]
["Costa Rica","LAC","UMIC",30,30,"EY CT 2019","However, companies with annual gross income of up to\nCRC53,113,000 (approximately USD93,150) are subject to an income tax rate of 10%. Companies with annual gross income between CRC53,113,001 and CRC106,835,000 (approximately USD187,430) are subject to an income tax rate of 20%. These tax brackets are adjusted annually."]
["Cote d'Ivoire","SSA","LMIC",25,25,"EY CT 2019"]
["Croatia","ECA","HIC",18,18,"EY CT 2019","A lower corporate income tax rate of 12% applies to taxpayers that realized revenue of less than HRK3 million in the preceding tax period"]
["Cuba","LAC","UMIC",15,30,"Nordea","exempt for the first eight years, 15% rate from the ninth year \nCompanies with total foreign ownership are taxed at a rate of 35%"]
["Cyprus","ECA","HIC",12.5,12.5,"EY CT 2019"]
["Czech Republic","ECA","HIC",19,19,"PKF 2019/20"]
["Denmark","ECA","HIC",22,22,"EY CT 2019"]
["Djibouti","MENA","LMIC",25,25,"Deloitte Africa 2019"]
["Dominican Republic","LAC","UMIC",27,27,"EY CT 2019"]
["Ecuador","LAC","UMIC",25,22,"EY CT 2019","increased of 3% on 1 January 2018"]
["Egypt, Arab Rep.","MENA","LMIC",22.5,22.5,"EY CT 2019","40.55% on Suez Canal authority and central bank egypt and petrolium and gaz companies"]
["El Salvador","LAC","LMIC",30,30,"EY CT 2019","A special 5% tax is imposed on the income of large taxpayers"]
["Estonia","ECA","HIC",20,20,"EY CT 2019"]
["Eswatini","SSA","LMIC",27.5,27.5,"EY CT 2019"]
["Ethiopia","SSA","LIC",{"$f":"SUM(25+30+35)/3","v":30},30,"Deloitte Africa 2019","The corporate income tax rate is 30% for non-mining companies and 25% for mining companies. Capital gains on immovable property are subject to tax at 15%; the rate is 30% for gains from the sale of shares and bonds. A 30% rate applies to rental income assessed under Schedule B"]
["Fiji","EAP","UMIC",20,20,"EY CT 2019"]
["Finland","ECA","HIC",20,20,"EY CT 2019"]
["France","ECA","HIC",28,28,"EY CT 2019","For FYs starting on or after 1 January 2019, a 28% CIT rate will apply on the first €500,000 of taxable income of all entities. Taxable income in excess of €500,000 will be subject to a 31% CIT rate\nA social security surtax of 3.3% is assessed on the corporate income tax amount. This surtax is imposed on the portion of corporate tax due exceeding EUR7,630,000"]
["Gambia, The","SSA","LIC",27,31,"Deloitte Africa 2019"]
["Georgia","ECA","UMIC",15,15,"EY CT 2019"]
["Germany","ECA","HIC",{"$f":"15.825+14","v":29.824999999999999},29.83,"EY CT 2019","German business projfits are subject to two taxes, corporation tax & trade tax\nCorp Tax levied at 15% + solidarity surcharge = total 15.825%\nTrade Tax uniform rate 3.5% + municipl tax (varies)\nAs per OECD sub-central average = 14.06%"]
["Ghana","SSA","LMIC",25,25,"EY CT 2019"]
["Greece","ECA","HIC",28,29,"EY CT 2019"]
["Guatemala","LAC","UMIC",25,25,"EY CT 2019"]
["Guinea","SSA","LIC",35,35,"EY CT 2019"]
["Guinea-Bissau","SSA","LIC",25,25,"Societe Generale"]
["Guyana","LAC","UMIC",40,40,"EY CT 2019","A 25% rate applies to non-commercial companies. Commercial companies are taxed at a rate of 40% of income, or 2% of turnover, whichever is lower"]
["Haiti","LAC","LIC",30,30,"Societe Generale"]
["Honduras","LAC","LMIC",25,25,"EY CT 2019"]
["Hong Kong SAR, China","EAP","HIC",8.25,null,"EY CT 2019","The two-tiered profits tax rates regime will be applicable to any year of assessment commencing on or after April 1, 2018. The profits tax rate for the first $2 million of profits of corporations will be lowered to 8.25 per cent.  Profits above that amount will continue to be subject to the tax rate of 16.5 per cent. For unincorporated businesses (i.e. partnerships and sole proprietorships), the two-tiered tax rates will correspondingly be set at 7.5 per cent and 15 per cent"]
["Hungary","ECA","HIC",9,9,"EY CT 2019"]
["Iceland","ECA","HIC",20,20,"EY CT 2019","A 36% rate applies to partnerships"]
["India","SA","LMIC",27.84,34.61,"India National Budget ","The effective tax rate of the entire base of companies reporting profits was 27.84 per cent for financial year 2018-19"]
["Indonesia","EAP","LMIC",25,25,"EY CT 2019"]
["Ireland","ECA","HIC",12.5,12.5,"EY CT 2019"]
["Israel",null,"HIC",23,24,"EY CT 2019"]
["Italy","ECA","HIC",27.9,27.9,"EY CT 2019","For manufacturing companies, IRAP is imposed at a standard rate of 3.5% on the “net value of production” (see below). However, different rates apply to the following:\n• Corporations and entities granted concession rights other than those running highways and tunnels: 4.2%\n• Banks and other financial entities: 4.65%\n• Insurance companies: 5.9%\n• Public administration entities performing business activities 8.5%"]
["Jamaica","LAC","UMIC",25,25,"EY CT 2019","Unregulated companies are taxed at a rate of 25%, and regulated companies (excluding life insurance companies) are taxed at a rate of 33.3%."]
["Japan","EAP","HIC",34,31,"EY CT 2019","CT rate 23.2% but with local taxes approx 34%"]
["Jordan","MENA","UMIC",35,35,"EY CT 2019","Industrial Sector - 14%\nOther Companies - 20% (Standard Rate)\nTelecoms, ins, utilities, mining - 24%\nBanks - 35%\nPrevious year 30% was banking/max rate"]
["Kazakhstan","ECA","UMIC",20,20,"EY CT 2019"]
["Kenya","SSA","LMIC",30,30,"EY CT 2019"]
["Kiribati","EAP","LMIC",30,30,"Ministry of Finance & Economic Devpy Kiribati","0-25k = 20%\n25-50k = 30%\n50k+ = 35%"]
["Korea, Rep.","EAP","HIC",27.5,24.200000000000003,"EY CT 2019","Corporate income tax is imposed at a rate of 10% on taxable income up to KRW200 million, at a rate of 20% on taxable income in excess of KRW200 million up to KRW20 billion, at a rate of 22% on taxable income in excess of\nKRW20 billion up to KRW300 billion and at a rate of 25% on taxable income exceeding KRW300 billion. Local income tax (formerly referred to as resident surtax), equal to 10% of corporateincome tax payable before offsetting tax credits and exemptions, is also imposed (see Section D), resulting in an effective tax rate of 27.5% on taxable income exceeding KRW300 billion if no tax credits and exemptions are available"]
["Kosovo","ECA","UMIC",10,10,"EY CT 2019"]
["Kyrgyz Republic","ECA","LMIC",10,10,"Societe Generale"]
["Lao PDR","EAP","LMIC",24,24,"EY CT 2019"]
["Latvia","ECA","HIC",20,15,"EY CT 2019"]
["Lebanon","MENA","UMIC",17,15,"EY CT 2019"]
["Lesotho","SSA","LMIC",25,25,"EY CT 2019","For manufacturing companies, the rate is 10%."]
["Liberia","SSA","LIC",25,25,"PKF Africa Tax Guide 2019/20"]
["Lithuania","ECA","HIC",15,15,"EY CT 2019","Reduced rates apply to small, agricultural, social or nonprofit companies and to companies registered and operating in free-economic zones that satisfy certain conditions\nA 5% rate applies to small entities with annual income not exceeding EUR300,000 and an average number of employees that does not exceed 10 for the tax year"]
["Luxembourg","ECA","HIC",24.94,27.08,"EY CT 2019"]
["Madagascar","SSA","LIC",20,20,"EY CT 2019"]
["Malawi","SSA","LIC",30,30,"EY CT 2019"]
["Malaysia","EAP","UMIC",24,24,"EY CT 2019"]
["Maldives","SA","UMIC",15,15,"EY CT 2019"]
["Mali","SSA","LIC",30,30,"Societe Generale"]
["Malta","ECA","HIC",35,35,"EY CT 2019"]
["Mauritania","SSA","LMIC",25,25,"EY CT 2019"]
["Mauritius","SSA","UMIC",15,15,"EY CT 2019"]
["Mexico","LAC","UMIC",30,30,"EY CT 2019"]
["Moldova","ECA","LMIC",12,12,"EY CT 2019"]
["Mongolia","EAP","LMIC",{"$f":"SUM(10+25)/2","v":17.5},17.5,"EY CT 2019","The corporate tax system is progressive with annual taxable income of up to MNT3 billion subject to tax at a rate of 10% and taxable profits in excess of this amount taxed at a rate of 25%."]
["Montenegro","ECA","UMIC",9,null,"EY CT 2019"]
["Morocco","MENA","LMIC",31,31,"EY CT 2019","Corporate income tax is imposed at proportional rates ranging from 10% to 31%\nTaxable income\n0-300,000 10%\n300,000-1,000,000 17.5%\n1,000,000-5,000,000 31%\n5,000,000+ 31%"]
["Mozambique","SSA","LIC",32,32,"EY CT 2019"]
["Myanmar","EAP","LMIC",25,25,"EY CT 2019"]
["Namibia","SSA","UMIC",32,32,"EY CT 2019"]
["Nepal","SA","LIC",25,25,"PKF 2019/20","Corporate tax: 25%.  Banks and financial institutions , Petroleum companies, Alcohol and cigarettes companies: 30% Special industries, Export industries and Power generation, transmission, distribution, infrastructure projects: 20%"]
["Netherlands","ECA","HIC",25,25,"EY CT 2019","tax rate of 20% applies to the first EUR200,000 of taxable income"]
["New Zealand","EAP","HIC",28,28,"EY CT 2019"]
["Nicaragua","LAC","LMIC",30,30,"EY CT 2019"]
["Niger","SSA","LIC",30,30,"PKF Africa Tax Guide 2019/20"]
["Nigeria","SSA","LMIC",30,30,"EY CT 2019"]
["North Macedonia","ECA","UMIC",10,null,"EY CT 2019"]
["Norway","ECA","HIC",22,24,"EY CT 2019"]
["Occupied Palestinian Territory","MENA","LMIC",15,20,"EY CT 2019","Excluding telecommunication companies, Banks and pure monopolistic companies in the Palestinian market which is primarily subject to a 20% tax on income"]
["Oman","MENA","HIC",15,12,"EY CT 2019"]
["Pakistan","SA","LMIC",{"$f":"SUM(29*0.23)+(24*0.77)","v":25.15},26.38,"EY CT 2019","Small Company - 24%\nPublic Company - 29%\nOther Companies - 29%\nBanking Company - 35%"]
["Panama","LAC","HIC",25,25,"EY CT 2019"]
["Papua New Guinea","EAP","LMIC",30,30,"EY CT 2019"]
["Paraguay","LAC","UMIC",10,10,"EY CT 2019"]
["Peru","LAC","UMIC",29.5,29.5,"EY CT 2019"]
["Philippines","EAP","LMIC",30,30,"EY CT 2019"]
["Poland","ECA","HIC",19,19,"EY CT 2019","The 15% corporate tax rate applies only to start-up taxpayers and taxpayers whose revenue from sales (including value-added tax [VAT] due) in the preceding tax year did not exceed the zloty (PLN) equivalent of EUR1,200,000 (small taxpayers)."]
["Portugal","ECA","HIC",{"$f":"21+1.5+9","v":31.5},29.5,"EY CT 2019","Standard rate 21%, Municipal surcharge 1.5% + State surcharge (3,5 or 9%) dependent on revenue\nSmall and medium-sized companies can benefit from a 17% reduced rate for the first EUR15,000 of taxable income. Micro, small and medium-sized companies located in the interior of Portugal can benefit from a 12.5% reduced rate for the first EUR15,000 of taxable income"]
["Romania","ECA","UMIC",16,16,"EY CT 2019"]
["Russian Federation","ECA","UMIC",20,20,"EY CT 2019","The basic corporate profits tax rate consists of a 3% rate payable to the federal government and rates ranging from 12.5% to 17% payable to the regional governments. The regional governments set the rates applicable to their respective regions"]
["Rwanda","SSA","LIC",30,30,"EY CT 2019"]
["Samoa","EAP","UMIC",27,27,"Samoa Ministry for Revenue"]
["Sao Tome and Principe","SSA","LMIC",25,25,"EY CT 2019","Oil activities = separate regime incl 30% rate\nAgricultural activities = 50% discount taxable income"]
["Senegal","SSA","LMIC",30,30,"EY CT 2019"]
["Serbia","ECA","UMIC",15,15,"EY CT 2019"]
["Seychelles","SSA","HIC",30,33,"Deloitte Africa 2019","Companies, government bodies and trusts are subject to a 25% tax on the first SCR 1 million and 30% on income exceeding that amount. Small businesses (i.e. those with turnover under SCR 1 million) pay a presumptive rate of tax of 1.5% on turnover instead of a tax on annual income, unless they opt to be taxed under the normal regime."]
["Sierra Leone","SSA","LIC",30,30,"Deloitte Africa 2019"]
["Singapore","EAP","HIC",17,17,"EY CT 2019"]
["Slovak Republic","ECA","HIC",21,21,"EY CT 2019"]
["Slovenia","ECA","HIC",19,19,"EY CT 2019"]
["Solomon Islands","EAP","LMIC",30,30,"DTTL 2019"]
["South Africa","SSA","UMIC",28,28,"EY CT 2019"]
["South Sudan","SSA","LIC",20,20,"EY CT 2019","The corporate income tax rates range from 10% to 25%, depending on the level of turnover. The following are the rates for resident and nonresident companies.\nSmall - up to 1,000,000 - 10%\nMedium - up to 30,000,000 - 20%\nLarge - over 30,000,000 - 25%"]
["Spain","ECA","HIC",25,25,"EY CT 2019"]
["Sri Lanka","SA","UMIC",28,28,"EY CT 2019","14% rate applied to certain sectors (incl Agriculture)"]
["St. Lucia","LAC","UMIC",30,30,"EY CT 2019"]
["St. Vincent and the Grenadines","LAC","UMIC",30,32.5,"DTTL 2019"]
["Sweden","ECA","HIC",21.4,22,"EY CT 2019"]
["Switzerland","ECA","HIC",{"$f":"6.7+14.45","v":21.15},22,"OECD","OECD CIT Federal rate 6.7 + average local taxes of 14.45%"]
["Tajikistan","ECA","LIC",23,23,"PKF 2019/20"]
["Tanzania","SSA","LIC",30,30,"EY CT 2019"]
["Thailand","EAP","UMIC",20,20,"EY CT 2019"]
["Timor-Leste","EAP","LMIC",10,10,"Societe Generale"]
["Togo","SSA","LIC",27,29,"Deloitte Africa 2019"]
["Tonga","EAP","UMIC",25,25,"Societe Generale"]
["Trinidad and Tobago","LAC","HIC",30,25,"PKF 2019/20"]
["Tunisia","MENA","LMIC",25,25,"EY CT 2019","there are other rates depending on the sector in which they are operating:\ntaux général : 25%, taux réduit : 10%, taux réduit:20%, taux spécifique pour certaines sociétés : 35%"]
["Turkey","ECA","UMIC",22,20,"EY CT 2019"]
["Uganda","SSA","LIC",30,30,"EY CT 2019"]
["Ukraine","ECA","LMIC",18,18,"PKF 2019/20"]
["United Kingdom","ECA","HIC",19,19,"EY CT 2019","Legislation has been enacted to decrease the rate of corporation tax to 17%, effective from 1 April 2020"]
["United Kingdom - Scotland"]
["United States","NA","HIC",{"$f":"19.7+6.18","v":25.88},38.909999999999997,"OECD","OECD CIT Federal rate 19.70% + average local taxes of 6.18%"]
["Uruguay","LAC","HIC",25,25,"EY CT 2019"]
["Uzbekistan","ECA","LMIC",12,7.5,"EY CT 2019"]
["Vanuatu","EAP","LMIC",0,0,"Societe Generale"]
["Venezuela, RB","LAC","UMIC",34,34,"EY CT 2019"]
["Vietnam","EAP","LMIC",20,20,"EY CT 2019"]
["Yemen, Rep.","MENA","LIC",20,20,"DTTL 2019"]
["Zambia","SSA","LMIC",35,35,"EY CT 2019","Rates from 0% to 40% but standard rate seems to be 35%"]
["Zimbabwe","SSA","LMIC",25,25,"EY CT 2019"]
[null,null,"Check Total",{"$f":"SUM(D5:D170)","v":3916.1150000000007},{"$f":"SUM(E5:E170)","v":3956.6}]
["Sources"]
["EY 2015","EY Global Tax Guides 2015: http://www.ey.com/gl/en/services/tax/tax-services_access-our-global-tax-guides"]
["EY CT 2019","Worldwide Corporate Tax Guide 2019:  https://www.ey.com/Publication/vwLUAssets/ey-worldwide-corporate-tax-guide-2019/$FILE/ey-worldwide-corporate-tax-guide-2019.pdf\nTax Information as at 1 January 2019 & report produced May 2019"]
["Deloitte Africa 2017","Deloitte Guide to Fiscal Information - Key Economies in Africa 2017:   https://www2.deloitte.com/content/dam/Deloitte/za/Documents/tax/za_Key_Fiscal_Brochure_2017.pdf\nTax Information as at February 2017 based on information available January/February 2017"]
["Deloitte Africa 2018","Deloitte Guide to Fiscal Information - Key Economies in Africa 2018:   https://www2.deloitte.com/content/dam/Deloitte/za/Documents/tax/za_Key_Fiscal_Guide_2018_17518.pdf\nTax Information as at February 2018 based on information available March 2018"]
["DTTL 2018","Deloitte Corporate Tax Rates 2014-2018\nhttps://www2.deloitte.com/content/dam/Deloitte/global/Documents/Tax/dttl-tax-corporate-tax-rates-2014-2018.pdf"]
["PKF 2017-18","PKF Worldwide Tax Guide 2017/18\nhttp://www.pkf.com/media/10031606/pkf-wwtg-2017-2018-all-countries_online.pdf\nTax information correct at time of publishing in April 2017"]
["PKF 2019-20","PKF Worldwide Tax Guide 2019/20\nhttps://www.pkf.com/media/10044170/pkf-wwtg-2019-2020_online.pdf\nTax information correct at time of publishing in June 2019"]
["PKF Africa 2019-20","PKF Africa Tax Guide 2019/20\nhttps://www.pkf.com/media/10044266/pkf-africa-2019-2020_online.pdf\nTax information correct at time of publishing in June 2019"]
["PWC","WorldWide Tax Summaries: http://www.pwc.com/gx/en/services/tax/corporate-tax/worldwide-tax-summaries.html"]
["Societe Generale","Societe Generale Country Profiles - individual country profile links added as comments in to database\nhttps://import-export.societegenerale.fr/en/find-your-market/country"]

{"sheet":"T1_PIT","index":8,"n_rows":192,"n_cols":65,"rows_kept":192,"cut":false,"hidden":false,"merged":[[0,0,0,65],[2,4,2,27],[2,28,2,50],[188,1,188,7],[156,3,157,3],[182,1,182,7],[183,1,183,7],[184,1,184,7],[185,1,185,7],[186,1,186,7],[187,1,187,7],[201,1,201,2],[189,1,189,7],[190,1,190,7],[191,1,191,7],[193,1,193,2],[194,1,194,2],[195,1,195,2],[196,1,196,2],[197,1,197,2],[198,1,198,2],[199,1,199,2],[200,1,200,2],[202,1,202,2],[203,1,203,2],[204,1,204,2],[205,1,205,2],[206,1,206,2]]}
["INDICATOR T1A PIT"]
[]
["Country Name","Region (code)","Inc. Group Code","Deductions / Personal Allowances","Taxable Income Thresholds",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Tax Rates",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Minimum Threshold \nincl adjustments for Deductions / Personal Allowances","Minimum Rate","Maximum Threshold \nincl adjustments for Deductions / Personal Allowances","Maximum Rate","Notes","Per Capita GDP 2019 (Local Curr)\nIMF WEO Oct 2019","Min Threshold - as ratio of GDP per capita\nTHRESHOLD","Max Threshold - as ratio of GDP per capita\nTHRESHOLD","\nPIT Progressivity\nNEW FORMULA","SIMPLIFIED KAKWANI (rate of change of tax rate, with income)","KAKWANI * TOP RATE * MINIMUM THRESHOLD","PIT Progressivity\nOLD FORMULA","CRII-2\nPIT Progressivity","Source"]
[1,{"$f":"A4+1","v":2},{"$f":"B4+1","v":3},{"$f":"C4+1","v":4},{"$f":"D4+1","v":5},{"$f":"E4+1","v":6},{"$f":"F4+1","v":7},{"$f":"G4+1","v":8},{"$f":"H4+1","v":9},{"$f":"I4+1","v":10},{"$f":"J4+1","v":11},{"$f":"K4+1","v":12},{"$f":"L4+1","v":13},{"$f":"M4+1","v":14},{"$f":"N4+1","v":15},{"$f":"O4+1","v":16},{"$f":"P4+1","v":17},{"$f":"Q4+1","v":18},{"$f":"R4+1","v":19},{"$f":"S4+1","v":20},{"$f":"T4+1","v":21},{"$f":"U4+1","v":22},{"$f":"V4+1","v":23},{"$f":"W4+1","v":24},{"$f":"X4+1","v":25},{"$f":"Y4+1","v":26},{"$f":"Z4+1","v":27},{"$f":"AA4+1","v":28},{"$f":"AB4+1","v":29},{"$f":"AC4+1","v":30},{"$f":"AD4+1","v":31},{"$f":"AE4+1","v":32},{"$f":"AF4+1","v":33},{"$f":"AG4+1","v":34},{"$f":"AH4+1","v":35},{"$f":"AI4+1","v":36},{"$f":"AJ4+1","v":37},{"$f":"AK4+1","v":38},{"$f":"AL4+1","v":39},{"$f":"AM4+1","v":40},{"$f":"AN4+1","v":41},{"$f":"AO4+1","v":42},{"$f":"AP4+1","v":43},{"$f":"AQ4+1","v":44},{"$f":"AR4+1","v":45},{"$f":"AS4+1","v":46},{"$f":"AT4+1","v":47},{"$f":"AU4+1","v":48},{"$f":"AV4+1","v":49},{"$f":"AW4+1","v":50},{"$f":"AX4+1","v":51},{"$f":"AY4+1","v":52},{"$f":"AZ4+1","v":53},{"$f":"BA4+1","v":54},{"$f":"BB4+1","v":55},{"$f":"BC4+1","v":56},{"$f":"BD4+1","v":57},{"$f":"BE4+1","v":58},{"$f":"BF4+1","v":59},{"$f":"BG4+1","v":60},{"$f":"BH4+1","v":61},{"$f":"BI4+1","v":62},{"$f":"BJ4+1","v":63},{"$f":"BK4+1","v":64},{"$f":"BL4+1","v":65}]
["Afghanistan","SA","LIC",null,0,{"$f":"5000*12","v":60000},{"$f":"12500*12","v":150000},{"$f":"100000*12","v":1200000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,2,10,20,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F5","v":60000},{"$f":"AD5","v":2},{"$f":"H5","v":1200000},20,null,{"$f":"VLOOKUP(A5,T_Source_IMFWEOPCGDP,10,FALSE)","v":41152.368999999999},{"$f":"AZ5/BE5","v":1.4579962577610053},{"$f":"BB5/BE5","v":29.159925155220105},{"$f":"VLOOKUP(A5,T_Source_PIT_formula,2,FALSE)","v":7.0776717938579689E-2},{"$f":"(BC5-BA5)/(BG5-BF5)","v":0.64977424736842104},{"$f":"BI5*BC5*BF5","v":18.947368421052634},{"$f":"LOG(BJ5)","v":1.2775488998144584},1.2775488998144584,"PKF 2019/20"]
["Albania","ECA","UMIC","thresholds are stated as monthly but entered as annual for CRII",0,{"$f":"30000*12","v":360000},{"$f":"150000*12","v":1800000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,13,23,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F6","v":360000},{"$f":"AD6","v":13},{"$f":"G6","v":1800000},23,null,594268.49399999995,0.6057867843150373,3.0289339215751863,3.4850373410056069E-2,{"$f":"(BC6-BA6)/(BG6-BF6)","v":4.1268645416666665},{"$f":"BI6*BC6*BF6","v":57.500000000000007},{"$f":"LOG(BJ6)","v":1.7596678446896306},1.8388490907372552,"EY PT 2019-20"]
["Algeria","MENA","UMIC",null,0,120000,360000,1440000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,20,30,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,120000,20,{"$f":"H7","v":1440000},35,null,471017.86099999998,0.25476740891573113,3.0572089069887736,1.669044490877573E-2,5.3524756931818178,47.727272727272727,1.6787666182477319,1.6787666182477317,"EY PT 2019-20"]
["Angola","SSA","LMIC",null,0,{"$f":"34450*12","v":413400},{"$f":"35000*12","v":420000},{"$f":"40000*12","v":480000},{"$f":"45000*12","v":540000},{"$f":"50000*12","v":600000},{"$f":"70000*12","v":840000},{"$f":"90000*12","v":1080000},{"$f":"110000*12","v":1320000},{"$f":"140000*12","v":1680000},{"$f":"170000*12","v":2040000},{"$f":"200000*12","v":2400000},{"$f":"230000*12","v":2760000},null,null,null,null,null,null,null,null,null,null,null,0,0,7,8,9,10,11,12,13,14,15,16,17,null,null,null,null,null,null,null,null,null,null,413400,0,{"$f":"Q8","v":2760000},17,null,1044696.4840000001,0.39571301936151626,2.6419156590173802,2.0303709108790573E-2,7.568328742862013,50.913065712094088,1.7068292487120429,1.4844823543660315,"EY PT 2019-20"]
["Antigua and Barbuda","LAC","HIC","PIT abolished in Antigua September 2016 but Unincorporated Business Tax on self employed income still applies - rates/thresholds here apply to this UBT",0,42000,186000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,8,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,42000,8,{"$f":"G9","v":186000},25,null,48894.557000000001,0.85899131880875823,3.8041044118673577,6.067209475224692E-2,5.7722740902777776,123.95833333333333,2.0932757283529622,2.0932727124295321,"Antigua & Barbuda Inland Revenue Department"]
["Argentina","LAC","UMIC",null,0,33039.81,66079.61,99119.42,132159.23000000001,198238.84,264318.45,396477.68,528636.91,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5,9,12,15,19,23,27,31,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,33039.81,{"$f":"AC10","v":5},{"$f":"M10","v":528636.91},35,"Min threshold =  no tax free income\nIf earn up to the first threshold of 33,039.81 then pay zero tax, if you earn 33,039.81 then you pay 5% tax on entire amount",479511.04499999998,6.8903126100046341E-2,1.1024499133278569,8.9146171315998366E-3,29.026262159322556,70.000007062188189,1.8450980838295312,1.8450980400142569,"EY PT 2019-20"]
["Armenia","ECA","UMIC",null,0,150000,2000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,23,28,36,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"E11","v":0},{"$f":"AC11","v":23},{"$f":"G11","v":2000000},36,"Min threshold =  no tax free income",2202900.0389999999,0.1,0.90789412347003007,4.7098974353283847E-3,16.091217428544958,57.928382742761848,1.7628914039401298,1.682092335400778,"EY PT 2019-20"]
["Australia","EAP","HIC",null,0,18200,37000,90000,180000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,19,32.5,37,45,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18200,{"$f":"AD12","v":19},{"$f":"I12","v":180000},45,null,77567.839999999997,{"$f":"AZ12/BE12","v":0.23463332226345351},2.3205493410671227,1.6469693482572805E-2,12.464547836835598,131.60692212608157,2.1192787324549829,2.1192787324549829,"EY PT 2019-20"]
["Austria","ECA","HIC",null,0,11000,{"$f":"F13+7000","v":18000},{"$f":"G13+13000","v":31000},{"$f":"H13+29000","v":60000},{"$f":"I13+30000","v":90000},{"$f":"J13+910000","v":1000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,25,35,42,48,50,55,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11000,25,{"$f":"K13","v":1000000},55,null,44540.326999999997,{"$f":"AZ13/BE13","v":0.24696720345138015},22.451563950125468,1.5175674015417676E-2,1.3510715975733063,18.351870576339739,1.2636803377749519,1.2636803377749517,"EY PT 2019-20"]
["Azerbaijan","ECA","UMIC",null,0,2500,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"E14","v":0},{"$f":"AC14","v":14},{"$f":"F14","v":2500},25,"Min threshold =  no tax free income",7971.9430000000002,0.1,0.31359983381717604,3.2524810941947737E-3,51.498167406886182,128.74541851721548,2.1097317833590976,2.0325222492137733,"EY PT 2019-20"]
["Bahamas, The","LAC","HIC","No Personal Income Tax",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,33261.315000000002,{"$f":"AZ15/BE15","v":0},0,0,0,0,0,null,"EY PT 2019-20"]
["Bahrain","MENA","HIC","No Personal Income Tax",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9502.7039999999997,0,0,0,0,0,0,0,"EY PT 2019-20"]
["Bangladesh","SA","LMIC","Higher allowance at 0% for women and over 65's - amount is BDT 300,000 rather than 250,000",0,250000,{"$f":"F17+400000","v":650000},{"$f":"G17+500000","v":1150000},{"$f":"H17+600000","v":1750000},{"$f":"I17+3000000","v":4750000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,15,20,25,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,250000,{"$f":"AD17","v":10},{"$f":"J17","v":4750000},30,null,164762.89000000001,1.517331967168092,28.82930737619375,8.9353124805839498E-2,0.73227951111111123,33.333333333333336,1.5228787452803376,1.9208187539523751,"PKF 2019/20"]
["Barbados","LAC","HIC","Basic Personal Allowance BBD 25,000",0,35000,{"$f":"F18+15000","v":50000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,16,33.5,40,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25000,{"$f":"AC18","v":16},{"$f":"G18","v":50000},40,null,36138.769,0.69177785220077637,1.3835557044015527,1.4178200681144984E-2,34.69321824,959.99999999999989,2.9822712330395684,2.6219548200449019,"EY PT 2019-20"]
["Belarus","ECA","UMIC","Individual deduction BYN110/month (not available if earn more than BYN665/month)\nBYN is 10,000 old BYR",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"E19+SUM(110*12)","v":1320},13,{"$f":"SUM(110*12)","v":1320},13,null,13850.571,9.5302930110246001E-2,9.5302930110246001E-2,0,0,0,0,0,"EY PT 2019-20"]
["Belgium","ECA","HIC","Basic Personal Allowance EUR 8,860",0,13250,23390,40480,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25,40,45,50,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F20+8860","v":22110},25,{"$f":"H20+8860","v":49340},50,null,40224.516000000003,0.54966478651974326,1.2266151319260123,5.7963782701631423E-3,36.930330517811242,1014.9651120088139,3.006451114246806,2.9168898825592415,"EY PT 2019-20"]
["Belize","LAC","UMIC","Basic Personal Relief $25,600 (1), $24,600 (2), $22,600 (3) & $19,600 (4)",0,26000,27000,29000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,22600,25,{"$f":"H21","v":29000},25,"Effective 1 January 2010, employed persons, resident in Belize, are allowed a basic deduction of:\n(a) BZD 25,600 in the case of an employed person whose total income, from all sources in a basis year,\ndoes not exceed BZD 26,000;\n(b) BZD 24,600 in the case of an employed person whose total income, from all sources in a basis year,\nexceeds BZD 26,000 but does not exceed BZD 27,000;\n(c) BZD 22,600 in the case of an employed person whose total income, from all sources in a basis year,\nexceeds BZD 27,000 but does not exceed BZD 29,000; and,\n(d) BZD 19,600 in the case of all other employed persons. There are no other deductions in ascertaining\nchargeable income except for allowable charitable donations which is restricted to one-sixth part of the\nchargeable income.\nThe rate of tax on chargeable personal income is a flat rate of 25%, with a standard tax credit deduction of\nBZD 100 available to all residents",9850.3610000000008,2.2943321569635873,2.9440545376966387,6.5645616803182857E-2,0,0,0,0,"PKF 2019/20"]
["Benin","SSA","LIC","Exempt income - first XOF 50,000/month",0,50000,130000,280000,5300000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,15,20,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(50000*12)+F22","v":650000},{"$f":"AD22","v":10},{"$f":"SUM(50000*12)+I22","v":5900000},30,null,710594.353,0.91472722412698371,8.3029086497680069,4.0136074154535274E-2,2.7070261066666665,74.285714285714278,1.8709053036205423,1.9236115607398925,"Deloitte Africa 2019"]
["Bhutan","SA","LMIC",null,0,200000,250000,500000,1000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,15,20,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F23","v":200000},{"$f":"AD23","v":10},{"$f":"I23","v":1000000},25,null,232269.1,0.86107019831738274,4.3053509915869137,3.8698678320896164E-2,4.3550456249999998,93.75,1.9719712763997566,1.9719712763997566,"http://portal.drc.gov.bt/drc/node/25"]
["Bolivia","LAC","LMIC","Two min national salaries per month (current min = BOB 2,122)",0,{"$f":"2122*2","v":4244},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,13,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"2*2122","v":4244},0,{"$f":"2*2122","v":4244},13,null,25182.776999999998,0.16852787919298973,0.16852787919298973,0,0,0,0,0,"EY PT 2019-20"]
["Botswana","SSA","UMIC","BWP 36,000",0,36000,{"$f":"F25+36000","v":72000},{"$f":"G25+36000","v":108000},{"$f":"H25+144000","v":252000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5,12.5,18.75,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"36000","v":36000},{"$f":"AD25","v":5},{"$f":"I25+36000","v":288000},25,null,84180.989000000001,0.42765000064325687,3.4212000051460549,3.0180923058812519E-2,6.6810308730158727,71.428571428571416,1.8538719643217618,2.2218487496163561,"EY PT 2019-20"]
["Brazil","LAC","UMIC",null,0,22847.759999999998,33919.800000000003,45012.6,55976.160000000003,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,7.5,15,22.5,27.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F26","v":22847.759999999998},{"$f":"AD26","v":7.5},{"$f":"I26","v":55976.160000000003},27.5,null,34277.642,0.66654993362728976,1.6330224815347567,2.4633751626482441E-2,20.693810748481663,379.32009997464411,2.5790058563510625,2.5790058563510621,"EY PT 2019-20"]
["Bulgaria","ECA","UMIC",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,0,10,null,16575.901000000002,0,0,0,0,0,0,0,"EY PT 2019-20"]
["Burkina Faso","SSA","LIC",null,0,{"$f":"30000*12","v":360000},{"$f":"50000*12","v":600000},{"$f":"80000*12","v":960000},{"$f":"120000*12","v":1440000},{"$f":"170000*12","v":2040000},{"$f":"250000*12","v":3000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,12.1,13.9,15.7,18.399999999999999,21.7,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,360000,{"$f":"AD28","v":12.1},{"$f":"K28","v":3000000},25,null,417387.05300000001,0.86250878510119955,7.1875732091766631,5.1256494331273363E-2,2.0395049180681819,43.977272727272727,1.6432282928687427,1.6432282928687429,"Deloitte Africa 2019"]
["Burundi","SSA","LIC",null,0,1800000,3600000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,20,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1800000,{"$f":"AD29","v":20},{"$f":"G29","v":3600000},30,null,586083.68599999999,3.0712337555152494,6.1424675110304987,8.7708191092324458E-2,3.2560204777777773,300,2.4771212547196626,2.4771214959943078,"Deloitte Africa 2019"]
["Cabo Verde","SSA","LMIC","Taxable Income to CVE 220,000 exempt",0,960000,1800000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,16.5,23.1,27.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,220000,16.5,{"$f":"G30","v":1800000},27.5,null,351671.223,0.62558431174222062,5.1184170960727142,2.8425907457479787E-2,2.4483439575949366,42.120253164556956,1.6244909728562713,1.6244909728562713,"EY PT 2019-20"]
["Cambodia","EAP","LMIC",null,0,{"$f":"1200000*12","v":14400000},{"$f":"2000000*12","v":24000000},{"$f":"8500000*12","v":102000000},{"$f":"12500000*12","v":150000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5,10,15,20,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F31","v":14400000},{"$f":"AD31","v":5},{"$f":"I31","v":150000000},20,null,6571998.3830000004,2.1911143553000474,22.824107867708829,0.111552582241688,0.72699097157079651,31.858407079646017,1.5032240572838675,1.4164234143660508,"EY PT 2019-20"]
["Cameroon","SSA","LMIC","Abatement of CFA 500,000 granted",0,2000000,3000000,5000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,15,25,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,500000,10,{"$f":"H32+500000","v":5500000},35,null,884626.55599999998,0.56521025353437393,6.2173127888781128,5.7134152823378116E-2,4.4231327800000004,87.500000000000014,1.9420080530223134,1.9420080530223132,"EY PT 2019-20"]
["Canada","NA","HIC",null,0,47630,95259,147667,210371,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15,20.5,26,29,33,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"E33","v":0},15,{"$f":"I33","v":210371},53.5,"Min threshold =  no tax free income",61341.254000000001,0.1,3.4295190639565338,2.0832590554644519E-2,11.563231584038352,61.863288974605183,1.7914330056372754,1.7866034838540323,"EY PT 2019-20"]
["Central African Republic","SSA","LIC",null,0,378000,1680000,3360000,5040000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,8,15,28,40,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F34","v":378000},{"$f":"AD34","v":8},{"$f":"I34","v":5040000},40,null,261656.90599999999,{"$f":"AZ34/BE34","v":1.4446398750889458},19.261865001185942,0.15697907895710464,1.7960147987987989,103.78378378378379,2.0161295003005359,2.0161307423824866,"RCA - 2017 06 - CODE GENERAL DES IMPOTS 2017"]
["Chad","SSA","LIC",null,0,800000,2500000,7500000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,20,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,800000,{"$f":"AD35","v":10},{"$f":"H35","v":7500000},30,"New Finance Law enacted January 2018 - see EY",503025.26899999997,{"$f":"AZ35/BE35","v":1.5903773613408674},14.909787762570632,0.10446551844696199,1.5015679671641791,71.641791044776127,1.8551664346747607,1.2790529934280468,"EY PT 2019-20"]
["Chile","LAC","HIC",null,0,{"$f":"SUM(13.5*53962)*12","v":8741844},{"$f":"SUM(30*53962)*12","v":19426320},{"$f":"SUM(50*53962)*12","v":32377200},{"$f":"SUM(70*53962)*12","v":45328080},{"$f":"SUM(90*53962)*12","v":58278960},{"$f":"SUM(120*53962)*12","v":77705280},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,4,8,13.5,23,30.4,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8741844,{"$f":"AD36","v":4},{"$f":"K36","v":77705280},35,null,10472848.643999999,{"$f":"AZ36/BE36","v":0.83471501376163693},7.4196890112145502,8.5457772425500386E-2,4.7076875340724031,137.53521126760563,2.138413898904798,2.1384138021303425,"EY PT 2019-20"]
["Chile UNITS","-","-","MTU = approx US$72 / CLP 53,962","0 MTU","13.5 MTU","30 MTU","50 MTU","70 MTU","90 MTU","120 MTU"]
["China","EAP","UMIC","Chinese national = CNY 60,000/year",0,36000,144000,300000,420000,660000,960000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3,10,20,25,30,35,45,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"60000","v":60000},{"$f":"AC38","v":3},{"$f":"K38+60000","v":1020000},{"$f":"AI38","v":45},null,{"$f":"VLOOKUP(A38,T_Source_IMFWEOPCGDP,10,FALSE)","v":68203.702000000005},{"$f":"AZ38/BE38","v":0.87971764347923509},{"$f":"BB38/BE38","v":14.955199939146997},{"$f":"VLOOKUP(A38,T_Source_PIT_formula,2,FALSE)","v":8.7581185573512729E-2},2.9839119625000001,118.12499999999999,2.0723418215173193,1.9174398615315762,"EY PT 2019-20"]
["Colombia","LAC","UMIC",null,0,{"$f":"1090*34270","v":37354300},{"$f":"1700*34270","v":58259000},{"$f":"4100*34270","v":140507000},{"$f":"8670*34270","v":297120900},{"$f":"18970*34270","v":650101900},{"$f":"31000*34270","v":1062370000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,19,28,33,35,37,39,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F39","v":37354300},{"$f":"AD39","v":19},{"$f":"K39","v":1062370000},{"$f":"AI39","v":39},null,{"$f":"VLOOKUP(A39,T_Source_IMFWEOPCGDP,10,FALSE)","v":20875775.363000002},{"$f":"AZ39/BE39","v":1.7893610824250561},{"$f":"BB39/BE39","v":50.890085830437371},{"$f":"VLOOKUP(A39,T_Source_PIT_formula,2,FALSE)","v":6.3320237674309318E-2},0.40732596316329595,28.425275827482448,1.4537046875997859,2.2235019779029059,"EY PT 2019-20"]
["Colombia UNITS","-","-","UVT (2019) COP 34,270","0 UVT","1,090 UVT","1,700 UVT","4,100 UVT","8,670 UVT","18,970 UVT","31,000 UVT"]
["Congo, Dem. Rep.","SSA","LIC",null,0,1944000,21600000,43200000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,15,30,40,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F41","v":1944000},{"$f":"AD41","v":15},{"$f":"H41","v":43200000},{"$f":"AF41","v":40},null,{"$f":"VLOOKUP(A41,T_Source_IMFWEOPCGDP,10,FALSE)","v":844703.92799999996},{"$f":"AZ41/BE41","v":2.3013980822875966},{"$f":"BB41/BE41","v":51.142179606391039},{"$f":"VLOOKUP(A41,T_Source_PIT_formula,2,FALSE)","v":6.4279385207330828E-2},0.51186732111692845,47.120418848167539,1.6732091421915973,1.368598977146976,"EY PT 2019-20"]
["Congo, Rep.","SSA","LMIC","20% deduction permitted from tax base",0,464000,1000000,3000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,10,25,40,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"464000*20%","v":92800},{"$f":"AC42","v":1},{"$f":"H42","v":3000000},{"$f":"AF42","v":40},null,{"$f":"VLOOKUP(A42,T_Source_IMFWEOPCGDP,10,FALSE)","v":1480312.423},{"$f":"AZ42/BE42","v":6.268946916755018E-2},2.026599218778562,2.3453241945156449E-2,19.858346345968627,49.796367638965322,1.6971976646093645,1.6971976646093647,"EY PT 2019-20"]
["Costa Rica","LAC","UMIC",null,0,9588000,{"$f":"F43+4800000","v":14388000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,15,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F43","v":9588000},{"$f":"AD43","v":10},{"$f":"G43","v":14388000},{"$f":"AE43","v":15},null,{"$f":"VLOOKUP(A43,T_Source_IMFWEOPCGDP,10,FALSE)","v":7181744.0029999996},{"$f":"AZ43/BE43","v":1.3350517640276296},2.0034130977085458,3.4686360641113446E-2,7.4809833364583307,149.81249999999994,2.1755480513777288,2.1760912590556813,"EY PT 2019-20"]
["Cote d'Ivoire","SSA","LMIC",null,0,300000,525000,900000,1350000,2250000,3750000,7500000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,15,20,25,35,45,60,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,300000,10,{"$f":"L44","v":7500000},{"$f":"AJ44","v":60},null,{"$f":"VLOOKUP(A44,T_Source_IMFWEOPCGDP,10,FALSE)","v":987837.61699999997},{"$f":"AZ44/BE44","v":0.30369363834420571},7.5923409586051429,5.8972606367041415E-2,6.8599834513888887,125,2.0969100130080562,2.0969100130080562,"EY PT 2019-20"]
["Croatia","ECA","HIC","Personal Allowance HRK 3,800/month",0,360000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24,36,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"3800*12","v":45600},{"$f":"AC45","v":24},{"$f":"F45+SUM(3800*12)","v":405600},{"$f":"SUM(AD45*1.18)","v":42.48},null,{"$f":"VLOOKUP(A45,T_Source_IMFWEOPCGDP,10,FALSE)","v":98686.672999999995},{"$f":"AZ45/BE45","v":0.46206846997466416},4.1099774434588552,2.2790798626927383E-2,5.0659158806666653,99.437183999999974,1.9975488168546482,2.2316320228880162,"EY PT 2019-20"]
["Cuba","LAC","UMIC",null,0,10000,20000,30000,50000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15,20,30,40,50,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,{"$f":"AC46","v":15},{"$f":"I46","v":50000},{"$f":"AG46","v":50},"Min threshold =  no tax free income",8821.8188912500409,0.1,5.6677654139547933,4.6446448626441018E-2,6.2861843841835707,31.430921920917854,1.4973571197797606,1.8458563161342987,"Nordea"]
["Cyprus","ECA","HIC",null,0,19500,28000,36300,60000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,20,25,30,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,19500,20,{"$f":"I47","v":60000},{"$f":"AG47","v":35},null,{"$f":"VLOOKUP(A47,T_Source_IMFWEOPCGDP,10,FALSE)","v":24681.719000000001},{"$f":"AZ47/BE47","v":0.79005842340235699},2.4309489950841754,2.5752008175820944E-2,9.1413774074074077,252.77777777777777,2.4027388915538062,2.4027388915538062,"EY PT 2019-20"]
["Czech Republic","ECA","HIC","Annual personal tax relief CZK 24,840",0,1569552,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15,{"$f":"15+7","v":22},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"24840","v":24840},{"$f":"AC48","v":15},{"$f":"F48","v":1569552},{"$f":"AD48","v":22},null,526854.74600000004,4.7147719914437287E-2,2.9790981516563959,1.8403066146650476E-2,2.3874892031653796,2.4764227894908566,0.39382479199107878,0.45872402711540577,"EY PT 2019-20"]
["Denmark","ECA","HIC","Personal Allowance DKK 46,200 (2019)",0,50217,{"$f":"F49+507844","v":558061},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8,42,56,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"46200","v":46200},{"$f":"AC49","v":8},{"$f":"G49+46200","v":604261},{"$f":"AE49","v":56},null,395745.75900000002,0.11674161743828061,1.5268919154734391,9.2894161506362014E-3,34.038924834381909,222.53051189744491,2.347389566958284,2.7278533636171223,"EY PT 2019-20"]
["Djibouti","MENA","LMIC","Employment Income under DJF 50,000 is exempt from tax",0,30000,50000,150000,600000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2,15,18,20,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"50000","v":50000},{"$f":"AC50","v":2},{"$f":"I50+50000","v":650000},{"$f":"AG50","v":30},null,521826.72700000001,9.5817246248485075E-2,1.245624201230306,9.5467539448754E-3,24.351913926666665,69.999999999999986,1.8450980400142567,1.8450980400142567,"Deloitte Africa 2019"]
["Dominican Republic","LAC","UMIC",null,0,416220,624329,867123,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,15,20,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,416220,15,{"$f":"H51","v":867123},{"$f":"AF51","v":25},null,438834.66600000003,0.94846654616843773,1.975967413659157,2.7718860375491688E-2,9.732351880559678,230.77025435625845,2.3631798287407442,2.3631798287407442,"EY PT 2019-20"]
["Ecuador","LAC","UMIC",null,0,11310,14410,18010,21630,43250,64860,86480,115290,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5,10,12,15,20,25,30,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11310,5,{"$f":"M52","v":115290},{"$f":"AK52","v":35},null,6249.3919999999998,1.8097760550146318,18.448194640374616,0.11952623009679479,1.8030559723023656,114.20946335833811,2.0577020908978327,2.0574767401237879,"EY PT 2019-20"]
["Egypt, Arab Rep.","MENA","LMIC","Annual personal deduction EGP 7,000",0,8000,30000,45000,200000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,15,20,22.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F53+7000","v":15000},10,{"$f":"I53+7000","v":207000},{"$f":"AG53","v":22.5},null,53667.853000000003,0.27949692714556701,3.8570575946088246,1.6115167172290484E-2,3.494000846354167,21.97265625,1.3418825614715506,1.316271593376765,"EY PT 2019-20"]
["El Salvador","LAC","LMIC","Personal deduction USD 1,600",0,4064,9142.86,22857.14,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,20,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F54+1600","v":5664},10,{"$f":"H54+1600","v":24457.14},{"$f":"AF54","v":30},null,4008.0239999999999,1.413165190627601,6.1020442991359332,6.0570169011973686E-2,4.2654117406670737,180.83194186814978,2.2572751460056457,2.2572751460056457,"EY PT 2019-20"]
["Estonia","ECA","HIC","Basic tax exemption EURO 6,000",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"6000","v":6000},{"$f":"AC55","v":20},{"$f":"6000","v":6000},{"$f":"AC55","v":20},null,20945.501,0.28645769800397708,0.28645769800397708,0,0,0,0,0,"EY PT 2019-20"]
["Eswatini","SSA","LMIC","Annual rebate SZL 8,200",0,100000,150000,200000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20,25,30,33,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"8200","v":8200},{"$f":"AC56","v":20},{"$f":"H56+8200","v":208200},{"$f":"AF56","v":33},null,59604.769,0.1375728844784215,3.4930090912691902,4.3275516486959299E-2,3.874309985,17.588999999999999,1.2452411489044597,1.2452411489044597,"EY PT 2019-20"]
["Ethiopia","SSA","LIC",null,0,7200,19800,38400,63000,93600,130800,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,15,20,25,30,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7200,10,{"$f":"K57","v":130800},{"$f":"AI57","v":35},null,27588.567999999999,0.2609776629218305,4.7410942097465876,3.7789029219416438E-2,5.5802119741100329,50.970873786407765,1.7073220787007846,1.7073220787007846,"Deloitte Africa 2019"]
["Fiji","EAP","UMIC","Social Responsibility Tax 13% (increases by 1% with each band) applied to income in excess of 270,000",0,30000,50000,270000,300000,350000,400000,450000,500000,1000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,18,20,33,34,35,36,37,38,39,null,null,null,null,null,null,null,null,null,null,null,null,null,30000,18,{"$f":"N58","v":1000000},{"$f":"AL58","v":39},null,13663.968000000001,2.1955554931041994,73.185183103473307,8.58035640959776E-2,0.29581786391752579,25.329896907216497,1.403633422213836,1.4036329744877969,"EY PT 2019-20"]
["Finland","ECA","HIC","Municipal Tax levied at flat rate that ranges from 16.5-22.5%",0,17600,26400,43500,76100,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,6.25,17.25,21.25,31.25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17600,{"$f":"AD59+AVERAGE(16.5,22.5)","v":25.75},{"$f":"I59","v":76100},{"$f":"AG59+AVERAGE(16.5,22.5)","v":50.75},null,43389.777000000002,0.40562550021863442,1.7538693503771636,2.1641394036538013E-2,18.542639743589746,381.70940170940173,2.5817328569892575,2.5879819475972292,"EY PT 2019-20"]
["France","ECA","HIC","CSG/CRDS applied to all income as well as Income Tax, rate = 7.5%\nRemoved from database on instruction from Oxfam France 31/07/2018",0,9964,9965,27519,27520,73779,73780,156244,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,14,30,41,45,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9964,{"$f":"AD60","v":14},{"$f":"L60","v":156244},{"$f":"AG60","v":45},"Min threshold =  no tax free income",37183.805,0.26796612127241953,4.2019368378249613,2.5061880197730851E-2,7.880078992343452,95.021739130434796,1.9778229748080787,1.9778262158721425,"EY PT 2019-20"]
["Gambia, The","SSA","LIC",null,0,24000,34000,44000,54000,64000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5,10,15,20,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24000,{"$f":"AD61","v":5},{"$f":"J61","v":64000},{"$f":"AH61","v":25},null,37967.1,0.63212623560925119,1.6856699616246698,2.5761750803711719E-2,18.983550000000001,300,2.4771212547196626,2.5283087614658446,"Deloitte Africa 2019"]
["Georgia","ECA","UMIC",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AC62","v":20},null,{"$f":"AC62","v":20},null,12052.637000000001,0.1,0,0,0,0,0,0,"EY PT 2019-20"]
["Germany","ECA","HIC",null,0,9169,14255,55960,265236,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,14,24,42,45,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9169,14,{"$f":"I63","v":265236},{"$f":"AG63","v":45},null,41460.756000000001,{"$f":"AZ63/BE63","v":0.22114888594891999},6.3972784287869713,2.1705424844573312E-2,5.0193247704702282,49.950813654238928,1.6985425668896912,1.6964956659822525,"EY PT 2019-20"]
["Ghana","SSA","LMIC",null,0,3456,{"$f":"F64+1200","v":4656},{"$f":"G64+1680","v":6336},{"$f":"H64+36000","v":42336},{"$f":"I64+197664","v":240000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5,10,17.5,25,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3456,5,{"$f":"J64","v":240000},{"$f":"AH64","v":30},null,11534.078,0.29963383289067408,20.807905061852367,3.6921946503596849E-2,1.2190203513933981,10.957792207792208,1.0397230606665995,1.5528419686577808,"EY PT 2019-20"]
["Greece","ECA","HIC","If taxable income less then Euro 20,000 then Euro 1,900 allowance given to individual taxpayer",0,20000,{"$f":"F65+10000","v":30000},{"$f":"G65+10000","v":40000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,22,29,37,45,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"1900","v":1900},{"$f":"AC65","v":22},{"$f":"H65","v":40000},{"$f":"AF65","v":45},null,17734.928,0.107133223207898,2.2554362780610107,1.7713960465367145E-2,10.706124514435695,51.614173228346459,1.7127689750701462,1.7127689750701462,"EY PT 2019-20"]
["Guatemala","LAC","UMIC","Standard deduction of GTQ 48,000",0,300000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5,7,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"48000","v":48000},{"$f":"AC66","v":5},{"$f":"F66","v":300000},{"$f":"AD66","v":7},null,35968.468999999997,1.3345021718883838,8.3406385743023979,3.2203405534939757E-2,0.28546403968253969,2.666666666666667,0.42596873227228121,0.4259687322722811,"EY PT 2019-20"]
["Guinea","SSA","LIC",null,0,1000000,5000000,10000000,20000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5,10,15,20,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1000000,5,{"$f":"I67","v":20000000},{"$f":"AG67","v":20},null,9216375.0040000007,0.10850252941812695,2.1700505883625389,2.1019452394055376E-2,7.2760855294736846,15.789473684210524,1.1983676537668335,0.78032816963791818,"EY PT 2019-20"]
["Guinea-Bissau","SSA","LIC",null,0,360000,1320000,3000000,10000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4,8,12,16,20,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"0","v":0},{"$f":"AC68","v":4},{"$f":"I68","v":10000000},{"$f":"AG68","v":20},null,457111.20400000003,0.1,21.876514757227433,5.6389425111100934E-2,0.73473648921206469,1.4694729784241294,0.16716160440714076,1.6020599913279625,"Guinea-Bissau Invt"]
["Guyana","LAC","UMIC","Personal allowance - which is greater of GYD 780,000 per year or 1/3 of employee's total income",0,560000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,28,40,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"780000","v":780000},{"$f":"AC69","v":28},{"$f":"F69+780000","v":1340000},{"$f":"AD69","v":40},null,1086445.936,0.71793724303645423,1.2333793662421138,3.5757137150536447E-3,23.280984342857138,668.57142857142844,2.8251478130598673,2.6812412373755872,"EY PT 2019-20"]
["Haiti","LAC","LIC",null,0,60000,240000,480000,1000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,15,25,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,60000,10,{"$f":"I70","v":1000000},{"$f":"AG70","v":30},null,66111.417000000001,0.90755882603454108,15.125980433909017,9.1200923179290225E-2,{"$f":"(BC70-BA70)/(BG70-BF70)","v":1.4066258936170213},{"$f":"BI70*BC70*BF70","v":38.297872340425535},{"$f":"LOG(BJ70)","v":1.5831746471675887},1.717453410030032,"Santander Trade"]
["Honduras","LAC","LMIC",null,0,158995.06,242439.28,563812.30000000005,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,15,20,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,158995.06,15,{"$f":"H71","v":563812.30000000005},{"$f":"AF71","v":25},null,63673.624000000003,2.4970317379767795,8.8547229540445187,8.0151921116581468E-2,1.5728980317142622,98.189407644792993,1.9920646400320081,1.9920646727490983,"EY PT 2019-20"]
["Hong Kong SAR, China","EAP","HIC",null,0,50000,100000,150000,200000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2,6,10,14,17,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,50000,2,200001,17,null,386386.60600000003,0.12940407152726199,0.51761887419047847,6.2709219128105715E-3,38.638403010646599,84.999433337111086,1.9294160304273977,null,"EY PT 2019-20"]
["Hungary","ECA","HIC",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,15,0,15,"FLAT TAX SYSTEM",4645233.5049999999,0,0,0,0,0,0,0,"EY PT 2019-20"]
["Iceland","ECA","HIC","Personal tax credit ISK 677,364",0,{"$f":"927087*12","v":11125044},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,36.94,46.24,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"677364","v":677364},{"$f":"AC74","v":36.94},{"$f":"F74+677364","v":11802408},{"$f":"AD74","v":46.24},null,8214907.1169999996,8.2455466672076802E-2,1.4367062015316028,{"$f":"VLOOKUP(A74,T_Source_PIT_formula,2,FALSE)","v":5.8406113828522272E-3},6.8672659800806208,26.183105041921642,1.4180211480440092,1.4354798113340357,"EY PT 2019-20"]
["India","SA","LMIC",null,0,250000,{"$f":"F75+250000","v":500000},{"$f":"G75+500000","v":1000000},{"$f":"H75+4000000","v":5000000},{"$f":"I75+5000000","v":10000000},{"$f":"J75+10000000","v":20000000},{"$f":"K75+30000000","v":50000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5.2,20.8,31.2,34.32,35.887999999999998,39,42.74,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,250000,5.2,{"$f":"L75","v":50000000},{"$f":"AJ75","v":42.74},null,154600.53200000001,1.6170707614382593,323.41415228765186,8.456028276304399E-2,0.11665736625688443,8.062611055276383,0.90647570970367153,2.3979400086720375,"EY PT 2019-20"]
["Indonesia","EAP","LMIC","Personal Allowance IDR 54,000,000",0,50000000,{"$f":"F76+200000000","v":250000000},{"$f":"G76+250000000","v":500000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5,15,25,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"54000000","v":54000000},{"$f":"AC76","v":5},{"$f":"H76+54000000","v":554000000},{"$f":"AF76","v":30},null,60209291.873999998,0.89687153459645086,9.2012375956746997,5.5017140074876049E-2,3.0104645937000001,81,1.9084850188786497,1.9084850188786497,"EY PT 2019-20"]
["Ireland","ECA","HIC","Personal Credit Euro 1,650",0,35300,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20,40,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12012,0.5,{"$f":"100000","v":100000},{"$f":"AD77+8","v":48},null,69247.782000000007,0.17346403961357201,1.4440895738725608,5.7892154156344118E-3,37.383161851616137,311.26244487884713,2.4931267243902626,2.4931267243902626,"EY PT 2019-20"]
["Israel",null,"HIC","Personal Tax credit points = ILS218/month",0,75720,{"$f":"F78+32880","v":108600},{"$f":"G78+65760","v":174360},{"$f":"H78+68040","v":242400},{"$f":"I78+261960","v":504360},{"$f":"J78+145200","v":649560},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,14,20,31,35,47,50,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"218*12","v":2616},{"$f":"AC78","v":10},{"$f":"K78+SUM(218*12)","v":652176},{"$f":"AI78","v":50},null,153594.11499999999,1.703190255694367E-2,4.2461001842420849,3.165874279819373E-2,9.45834811256851,8.0546831701459478,0.90604846217752488,0.90646972764332423,"EY PT 2019-20"]
["Italy","ECA","HIC","For PIT purposes, the Italian tax code introduces the no-tax area implicitly, through ad hoc subtractions. \nIf you are an employee, you do not pay PIT on yearly income up to 8.000 euro.\nIf you are a retired person aged under 75, you do not pay PIT on yearly income up to 7.500 euro. The implicit threshold increases up to 7.750 euro if you are retired and aged 75+. \nIf you are an autonomous worker, you do not pay PIT on yearly income up to 4800 euro\n",0,15000,28000,55000,75000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,23,27,38,41,43,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"8000","v":8000},{"$f":"AC79+1.78","v":24.78},{"$f":"I79","v":75000},{"$f":"AG79+2.42","v":45.42},"Additional Regional Tax + Municipal Tax added.  1.78% added to Min & 2.42% added to Max Rate as Oxfam Italy",29212.799999999999,0.27385255778288969,2.5673677292145909,1.1492547432879122E-2,8.9992864477611949,111.93657313432837,2.0489720071300073,2.0489720071300073,"EY PT 2019-20"]
["Jamaica","LAC","UMIC","Personal tax exemption JMD 1,500,096",0,6000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"1500096","v":1500096},{"$f":"AC80","v":25},{"$f":"F80+1500096","v":7500096},{"$f":"AD80","v":30},null,729366.06400000001,2.0567120874436515,10.283033952618887,1.7648002861087846E-2,0.60780505333333334,37.502400000000002,1.5740590616851635,1.5740590616851635,"EY PT 2019-20"]
["Japan","EAP","HIC","Local Inhabitant tax (4%) + Municipal tax (6%) paid on top of income tax",0,1950000,3300000,6950000,9000000,18000000,40000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5,10,20,23,33,40,45,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1950000,{"$f":"AC81+10","v":15},{"$f":"K81","v":40000000},{"$f":"AI81+10","v":55},"Min threshold =  no tax free income\nIf earn up to the first threshold of 1,950,000 then pay zero tax, if you earn 1,950,001 then you pay 5% tax on entire amount",4419633.1689999998,0.44121308837973383,9.0505248898406947,4.3342801294250312E-2,4.6461321093298285,112.74638633377134,2.0521026310781325,2.0521026310781325,"EY PT 2019-20"]
["Jordan","MENA","UMIC","Personal allowance JOD 10,000",0,5000,10000,15000,20000,1000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5,10,15,20,25,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"10000","v":10000},{"$f":"AC82","v":5},{"$f":"J82+10000","v":1010000},{"$f":"AH82","v":30},null,3110.0970000000002,3.2153337982706005,324.74871362533065,6.3159633434130266E-2,7.7752425E-2,7.5000000000000009,0.87506126339170009,2.1931245983544616,"EY PT 2019-20"]
["Kazakhstan","ECA","UMIC","MMS = KZT 42,500/month deducted",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"42500*12","v":510000},{"$f":"AC83","v":10},{"$f":"42500*12","v":510000},{"$f":"AC83","v":10},null,3511245.6230000001,0.14524760007084242,0.14524760007084242,0,0,0,0,0,"EY PT 2019-20"]
["Kenya","SSA","LMIC","Personal relief KES 16,896/year but only deducted once earn above minimum threshold",0,147580,{"$f":"F84+139043","v":286623},{"$f":"G84+139043","v":425666},{"$f":"H84+139043","v":564709},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,15,20,25,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F84+16896","v":164476},{"$f":"AC84","v":10},{"$f":"I84+16896","v":581605},{"$f":"AG84","v":30},null,203965.88200000001,0.80638976669637319,2.8514817983137002,2.4459091806515326E-2,9.779510990604825,236.58292758355327,2.3739834016453689,2.3096642871871818,"EY PT 2019-20"]
["Kiribati","EAP","LMIC",null,0,5000,15000,30000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,20,25,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5000,20,{"$f":"H85","v":30000},{"$f":"AF85","v":30},null,2244.8809999999999,2.2272895534328994,13.363737320597396,8.103881789142546E-2,0.89795239999999987,60,1.7781512503836436,1.7782381005952925,"http://www.mfed.gov.ki/our-work/taxation/business"]
["Korea, Rep.","EAP","HIC","Basic deduction KRW 1,500,000/person",0,12000000,{"$f":"F86+34000000","v":46000000},{"$f":"G86+42000000","v":88000000},{"$f":"H86+62000000","v":150000000},{"$f":"I86+150000000","v":300000000},{"$f":"J86+200000000","v":500000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"6+0.6","v":6.6},{"$f":"15+1.5","v":16.5},{"$f":"24+2.4","v":26.4},{"$f":"35+3.5","v":38.5},{"$f":"38+3.8","v":41.8},{"$f":"40+4","v":44},{"$f":"42+4.2","v":46.2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"1500000","v":1500000},{"$f":"AC86","v":6.6},{"$f":"K86+1500000","v":501500000},{"$f":"AI86","v":46.2},null,36910444.75,4.0638903436675602E-2,13.58694004899521,3.7744213615749013E-2,2.9233072242000002,5.4885600000000005,0.73945841620130026,0.69344553340632997,"EY PT 2019-20"]
["Kyrgyz Republic","ECA","LMIC","Standard Monthly deduction granted to taxpayers of KGS 650 / month",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"650*12","v":7800},{"$f":"AC87","v":10},{"$f":"650*12","v":7800},{"$f":"AC87","v":10},null,91660.758000000002,8.5096394249761717E-2,8.5096394249761717E-2,0,0,0,0,0,"PWC"]
["Lao PDR","EAP","LMIC","Exempt Income up to LAK 1 million",0,1000000,{"$f":"F88+2000000","v":3000000},{"$f":"G88+3000000","v":6000000},{"$f":"H88+6000000","v":12000000},{"$f":"I88+12000000","v":24000000},{"$f":"J88+16000000","v":40000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5,10,12,15,20,24,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1000000,5,{"$f":"K88","v":40000000},{"$f":"AI88","v":24},null,22915340.526999999,4.3638888927779625E-2,1.7455555571111852,1.3713402017038115E-2,11.163883846487179,11.692307692307692,1.0679002356379357,1.0679002356379359,"EY PT 2019-20"]
["Latvia","ECA","HIC",null,0,20004,62800,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20,23,31.4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"E89","v":0},{"$f":"AC89","v":20},{"$f":"G89","v":62800},{"$f":"AE89","v":31.4},null,16180.109,0.1,3.8813088341988302,2.168005805812127E-2,3.0148291239521008,9.4665634492095965,0.97619235007916161,0,"EY PT 2019-20"]
["Lebanon","MENA","UMIC","Taxpayer deduction LBP 7,500,000",0,6000000,{"$f":"F90+9000000","v":15000000},{"$f":"G90+15000000","v":30000000},{"$f":"H90+30000000","v":60000000},{"$f":"I90+60000000","v":120000000},{"$f":"J90+105000000","v":225000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2,4,7,11,15,20,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F90+7500000","v":13500000},{"$f":"AC90","v":2},{"$f":"K90+7500000","v":232500000},{"$f":"AI90","v":25},null,14554618.026000001,{"$f":"AZ90/BE90","v":0.92754065932090712},15.974311354971178,8.2545762553738286E-2,1.5285671899452056,35.445205479452056,1.5495574983445184,1.6297314179258209,"EY PT 2019-20"]
["Lesotho","SSA","LMIC","Personal deduction LSL 7,260 (LSL 605/month)",0,61080,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"7260","v":7260},{"$f":"AC91","v":20},{"$f":"F91+7260","v":68340},{"$f":"AD91","v":30},null,19910.375,{"$f":"AZ91/BE91","v":0.36463401618502916},3.4323813589648613,1.9803592428455568E-2,3.2597208578912897,35.65815324165029,1.5521588470353724,1.5496648842574638,"EY PT 2019-20"]
["Liberia","SSA","LIC",null,0,70000,200000,800000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5,15,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F92/187","v":374.33155080213902},5,{"$f":"H92/187","v":4278.0748663101604},{"$f":"AF92","v":25},"Minimum & Maximum thresholds converted to USD as all GDP data is in USD",703.82600000000002,{"$f":"AZ92/BE92","v":0.53185240500086528},6.0783132000098892,6.0644137366951768E-2,3.6059030684931508,47.945205479452056,1.6807451842298198,1.6807445893062793,"PKF Africa Tax Guide 2019/20"]
["Lithuania","ECA","HIC","Annual non-taxable minimum amount Euro 3,600\nEmployment Income up to 120 AMS taxed at 20%.  Over 120 AMS taxed at 27%",0,136344,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20,27,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"3600","v":3600},{"$f":"AC93","v":20},{"$f":"F93","v":136344},{"$f":"AD93","v":27},null,17155.222000000002,{"$f":"AZ93/BE93","v":0.20984863967368067},7.9476674799078664,2.8314071419320668E-2,0.90464769782438381,5.1256553968540945,0.70974940475975978,0,"EY PT 2019-20"]
["Lithuania UNITS","-","-","For 2019 1 AMS = Euro 1,136.20","0 AMS","120 AMS"]
["Luxembourg","ECA","HIC","Taxable income taxed in excess of Euro 11,265",0,11265,13173,15009,16881,18753,20625,22569,24513,{"$f":"M95+1","v":24514},26457,28401,30345,32289,34233,36177,38121,40065,42009,43953,45897,100002,150000,200004,0,8,9,10,11,12,14,16,18,20,22,24,26,28,30,32,34,36,38,39,40,41,42,{"$f":"F95","v":11265},{"$f":"AD95","v":8},{"$f":"AB95","v":200004},{"$f":"AY95","v":42},null,{"$f":"VLOOKUP(A95,T_Source_IMFWEOPCGDP,10,FALSE)","v":100321.814},{"$f":"AZ95/BE95","v":0.11228863943787938},{"$f":"BB95/BE95","v":1.9936242380944189},{"$f":"VLOOKUP(A95,T_Source_PIT_formula,2,FALSE)","v":8.0602110902080835E-3},18.072267395715777,85.231033331743831,1.9305977538134054,2.0138072882975888,"Expactica.com"]
["Madagascar","SSA","LIC",null,0,{"$f":"350000*12","v":4200000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,20,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4200000,20,{"$f":"F96","v":4200000},{"$f":"AD96","v":20},null,1672407.4480000001,2.511349734194678,2.511349734194678,5.6029975221771146E-2,0,0,0,0,"EY PT 2019-20"]
["Malawi","SSA","LIC",null,0,540000,{"$f":"F97+60000","v":600000},{"$f":"G97+35400000","v":36000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,15,30,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,540000,15,{"$f":"H97","v":36000000},{"$f":"AF97","v":35},"rates from 1 October 2019",279307.37099999998,1.9333539178241022,128.89026118827348,4.5554134477319409E-2,0.15753376818950929,10.659898477157359,1.0277530685723262,3.4313637641589869,"EY PT 2019-20"]
["Malaysia","EAP","UMIC","Annual allowance individual MYR 9,000",0,5000,{"$f":"F98+15000","v":20000},{"$f":"G98+15000","v":35000},{"$f":"H98+15000","v":50000},{"$f":"I98+20000","v":70000},{"$f":"J98+30000","v":100000},{"$f":"K98+150000","v":250000},{"$f":"L98+150000","v":400000},{"$f":"M98+1","v":400001},{"$f":"M98+200000","v":600000},{"$f":"O98+400000","v":1000000},null,null,null,null,null,null,null,null,null,null,null,null,0,1,3,8,14,21,24,24.5,25,26,28,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F98+9000","v":14000},1,{"$f":"P98+9000","v":1009000},{"$f":"AM98","v":28},null,46545.237000000001,0.30078265580643621,21.677835693478151,3.580059828456298E-2,1.2630365819095479,10.637185929648243,1.0268267504337192,1.0268267504337192,"EY PT 2019-20"]
["Maldives","SA","UMIC","No Personal Income Tax",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,0,null,null,null,239818.198,0,0,0,0,0,0,0,"EY PT 2019-20"]
["Mali","SSA","LIC",null,0,175000,600000,1200000,1800000,2400000,3500000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5,13,20,28,34,40,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,175000,5,{"$f":"K100","v":3500000},{"$f":"AI100","v":40},null,537270.995,0.32572017032112444,6.5144034064224892,5.9990655083808776E-2,5.6554841578947368,73.68421052631578,1.8673744347254091,1.8673769164010723,"Mali Code Général des Impôts 2019"]
["Malta","ECA","HIC",null,0,9100,{"$f":"F101+5400","v":14500},60000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,15,25,25,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9100,15,{"$f":"H101","v":60000},{"$f":"AG101","v":35},null,27291.027999999998,0.33344291757716127,2.1985247312779865,1.9738691829424487E-2,10.723390176817286,125.14734774066795,2.0974216499985916,2.0974216499985916,"EY PT 2019-20"]
["Mauritania","SSA","LMIC","Fixed exemption MRO 60,000",0,90000,210000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15,25,40,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"60000","v":60000},{"$f":"AC102","v":15},{"$f":"G102+60000","v":270000},{"$f":"AE102","v":40},null,51542.716,1.1640830102938309,5.2383735463222392,3.8955577251341723E-2,6.1360376190476176,285.71428571428567,2.4559319556497243,2.4559319556497243,"EY PT 2019-20"]
["Mauritius","SSA","UMIC","Personal exemption MUR 310,000",0,650000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,15,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"310000","v":310000},10,{"$f":"F103+310000","v":960000},{"$f":"AD103","v":15},null,400191.09700000001,0.7746299263624048,2.3988539655093826,1.1377892597725295E-2,3.0783930538461539,35.769230769230766,1.553509600583117,0,"EY PT 2019-20"]
["Mexico","LAC","UMIC",null,0,6942.2,58922.16,103550.44,120372.83,144119.23000000001,290667.75,458132.29,874650,{"$f":"M104+1","v":874651},1166200,3498600,null,null,null,null,null,null,null,null,null,null,null,null,1.92,6.4,10.88,16,17.920000000000002,21.36,23.52,30,32,34,35,null,null,null,null,null,null,null,null,null,null,null,null,6942.2,1.92,{"$f":"P104","v":3498600},{"$f":"AM104","v":35},"Min threshold =  no tax free income\nIf earn up to the first threshold of 6,942.20 then pay zero tax, if you earn 6,942.21 then you pay 1.92% tax on entire amount",194203.58100000001,3.5747023634955521E-2,18.015115797478522,2.9211140961707665E-2,1.8398866176061124,2.3019664641821422,0.36209899239249982,0.36209911825995572,"EY PT 2019-20"]
["Moldova","ECA","LMIC","Personal deduction MDL 24,000",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"24000","v":24000},12,{"$f":"24000","v":24000},{"$f":"AC105","v":12},null,58533.114000000001,0.41002431546696799,0.41002431546696799,0,0,0,0,1.8294710987748797,"EY PT 2019-20"]
["Mongolia","EAP","LMIC","Thresholds and variable rates removed after being introduced in 2018",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,null,{"$f":"AC106","v":10},null,11251846.998,0,0,0,0,0,0,-0.12493873660830002,"Deloitte"]
["Montenegro","ECA","UMIC",null,0,{"$f":"766*12","v":9192},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"9+15","v":24},{"$f":"11+15","v":26},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"E107","v":0},24,{"$f":"F107","v":9192},{"$f":"AD107","v":26},null,7713.97,0.1,1.1916043230658144,{"$error":"#N/A"},1.8321657011974084,4.763630823113262,0.67793809670298055,null,"EY PT 2019-20"]
["Morocco","MENA","LMIC",null,0,30000,{"$f":"F108+20000","v":50000},{"$f":"G108+10000","v":60000},{"$f":"H108+20000","v":80000},{"$f":"I108+100000","v":180000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,20,30,34,38,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,30000,10,{"$f":"J108","v":180000},{"$f":"AH108","v":38},null,32366.48,{"$f":"AZ108/BE108","v":0.9268848512411606},5.5613091074469638,4.1710611855451364E-2,6.0417429333333326,212.79999999999998,2.3279716236230104,2.3279716236230104,"EY PT 2019-20"]
["Mozambique","SSA","LIC","Annual income of MZN 225,000 or less not taxed + MZN 1,800 tax credit",0,42000,168000,504000,1512000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,15,20,25,32,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"225000+1800","v":226800},{"$f":"AC109","v":10},{"$f":"I109+225000+1800","v":1738800},{"$f":"AG109","v":32},null,30371.846000000001,{"$f":"AZ109/BE109","v":7.4674420514314468},57.250389060974427,4.8806434349476659E-2,0.4419183941798942,105.6,2.0236639181977933,2.0236639181977933,"EY PT 2019-20"]
["Myanmar","EAP","LMIC",null,0,2000000,5000000,10000000,20000000,30000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5,10,15,20,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2000000,5,{"$f":"J110","v":30000000},{"$f":"AH110","v":25},null,1970195.5649999999,{"$f":"AZ110/BE110","v":1.0151276530764093},15.226914796146138,0.10429828874922091,1.4072825464285714,35.714285714285715,1.5528419686577808,1.5528419686577808,"EY PT 2019-20"]
["Namibia","SSA","UMIC",null,0,50000,{"$f":"F111+50000","v":100000},{"$f":"G111+200000","v":300000},{"$f":"H111+200000","v":500000},{"$f":"I111+300000","v":800000},{"$f":"J111+700000","v":1500000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,18,25,28,30,32,37,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,50000,18,{"$f":"K111","v":1500000},{"$f":"AI111","v":37},null,81453,{"$f":"AZ111/BE111","v":0.61385093243956634},18.41552797318699,4.4308002730791642E-2,1.067315172413793,24.241379310344822,1.3845573271208678,1.384557327120868,"EY PT 2019-20"]
["Nepal","SA","LIC",null,0,350000,{"$f":"F112+100000","v":450000},{"$f":"G112+200000","v":650000},{"$f":"H112+1350000","v":2000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,10,20,30,36,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"E112","v":0},{"$f":"AC112","v":1},{"$f":"I112","v":2000000},{"$f":"AG112","v":36},"Min threshold =  no tax free income",121747.276,0.1,16.427472266402084,9.8081888413366888E-2,2.1436263635260544,7.7170549086937958,0.88745159037019306,0.62658046016816782,"PKF 2019/20"]
["Netherlands","ECA","HIC",null,0,20384,34300,68507,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9,10.45,38.1,51.75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20384,{"$f":"AC113","v":9},{"$f":"H113","v":68507},{"$f":"AF113","v":51.75},null,46628.536,{"$f":"AZ113/BE113","v":0.43715719489884908},1.4692076114077439,1.748216847209964E-2,41.422394987843653,937.09407144193005,2.9717831903087379,2.9781908779882067,"EY PT 2019-20"]
["New Zealand","EAP","HIC",null,0,14000,{"$f":"F114+34000","v":48000},{"$f":"G114+22000","v":70000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10.5,17.5,30,33,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"E114","v":0},{"$f":"AC114","v":10.5},{"$f":"H114","v":70000},{"$f":"AF114","v":33},"Min threshold =  no tax free income",60523.425000000003,0.1,1.1565769782526352,1.0077815571386243E-2,21.295182900171131,70.274103570564733,1.8467953143742457,1.8307514793426531,"EY PT 2019-20"]
["Nicaragua","LAC","LMIC",null,0,100000,200000,350000,500000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,15,20,25,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,100000,15,{"$f":"I115","v":500000},{"$f":"AG115","v":30},null,63598.686999999998,{"$f":"AZ115/BE115","v":1.5723595048432368},7.8617975242161844,6.9661383331214119E-2,2.3849507624999999,112.50000000000001,2.0511525224473814,2.051152522447381,"EY PT 2019-20"]
["Niger","SSA","LIC",null,0,25000,50000,100000,150000,300000,400000,700000,1000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,2,6,13,25,30,32,34,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"E116","v":0},{"$f":"AC116","v":1},{"$f":"M116","v":1000000},{"$f":"AK116","v":35},"Min threshold =  no tax free income",232369.40700000001,0.1,4.303492498907139,1.9319442126055558E-2,8.0885121143524383,28.309792400233533,1.451936684633079,1.4943667117893238,"PKF Africa Tax Guide 2019/20"]
["Nigeria","SSA","LMIC","Consolidated Relief Allowance NGN 200,000",0,300000,{"$f":"F117+300000","v":600000},{"$f":"G117+500000","v":1100000},{"$f":"H117+500000","v":1600000},{"$f":"I117+1600000","v":3200000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7,11,15,19,21,24,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"200000","v":200000},{"$f":"AC117","v":7},{"$f":"J117+200000","v":3400000},{"$f":"AH117","v":24},null,722151.83100000001,{"$f":"AZ117/BE117","v":0.27695006979771819},4.7081511865612091,2.3983310399213458E-2,3.8364316021875,25.5,1.4065401804339552,1.4065401804339552,"EY PT 2019-20"]
["North Macedonia","ECA","UMIC","Deductible Personal Exemption for 2019 is MKD 96,000",0,1080000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,18,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"96000","v":96000},{"$f":"AC118","v":10},{"$f":"F118+96000","v":1176000},{"$f":"AD118","v":18},null,334248.587,{"$f":"AZ118/BE118","v":0.28721138617707903},3.5183394806692183,2.8162038943701211E-2,2.4759154592592592,12.799999999999999,1.1072099696478683,null,"EY PT 2019-20"]
["Norway","ECA","HIC",null,{"$f":"E120","v":0},{"$f":"F120","v":56550},{"$f":"F119+F121","v":231050},{"$f":"G119+G121","v":476700},1094200,2059000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,{"$f":"AD120","v":22},{"$f":"22+AD121","v":23.9},{"$f":"22+AE121","v":26.2},35.200000000000003,38.200000000000003,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F119","v":56550},{"$f":"AD119","v":22},{"$f":"J119","v":2059000},{"$f":"AH119","v":38.200000000000003},null,682720.66599999997,{"$f":"AZ119/BE119","v":8.2830362132321922E-2},3.0158747237922339,7.8425684762134882E-3,5.5232713871507411,17.4762925416365,1.2424493059022077,1.5313387564873047,"EY PT 2019-20"]
["Norway I",null,null,"Ordinary Income Tax - Annual Relief NOK 56,550",0,56550,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,22]
["Norway II",null,null,"Personal Income Tax",0,174500,245650,617500,964800,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,1.9,4.2,13.2,16.2]
["Occupied Palestinian Territory","MENA","LMIC","Residency Allowance ILS 36,000",0,75000,{"$f":"F122+75000","v":150000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5,10,15,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"36000","v":36000},{"$f":"AC122","v":5},{"$f":"G122+36000","v":186000},{"$f":"AE122","v":15},null,{"$f":"2951*3.6","v":10623.6},{"$f":"AZ122/BE122","v":3.3886818027787191},{"$f":"BB122/BE122","v":17.508189314356713},{"$f":"VLOOKUP(A122,T_Source_PIT_formula,2,FALSE)","v":9.6566785592862178E-2},0.7082400000000002,36.000000000000014,1.5563025007672875,1.5563025007672873,"EY PT 2019-20"]
["Oman","MENA","HIC","No Personal Income Tax",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F123","v":0},{"$f":"AD123","v":0},null,null,null,{"$f":"VLOOKUP(A123,T_Source_IMFWEOPCGDP,10,FALSE)","v":6840.65},0,0,0,0,0,0,0,"EY PT 2019-20"]
["Pakistan","SA","LMIC",null,0,400000,600000,1200000,2400000,3000000,4000000,6000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5,10,15,20,25,30,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,400000,5,{"$f":"L124","v":6000000},{"$f":"AJ124","v":35},null,188340.166,2.1238167539896935,31.857251309845399,0.1362423362102855,1.0089651749999999,75,1.8750612633917001,1.7067953418479753,"EY PT 2019-20"]
["Panama","LAC","HIC",null,0,11000,50000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,15,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11000,15,{"$f":"G125","v":50000},{"$f":"AE125","v":25},null,16245.451999999999,0.67711258510997419,3.0777844777726098,3.4463407603597597E-2,4.1655005128205129,70.512820512820511,1.8482680868037635,1.8482680868037635,"EY PT 2019-20"]
["Papua New Guinea","EAP","LMIC",null,0,12500,{"$f":"F126+7500","v":20000},{"$f":"G126+13000","v":33000},{"$f":"H126+37000","v":70000},{"$f":"I126+180000","v":250000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,22,30,35,40,42,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12500,22,{"$f":"J126","v":250000},{"$f":"AH126","v":42},null,9320.9140000000007,1.3410701997679626,26.821403995359251,5.113665967766582E-2,0.78491907368421054,44.210526315789473,1.6455256851090527,1.5440680443502757,"EY PT 2019-20"]
["Paraguay","LAC","UMIC","from 2018 threshold for tax is 36 minimum wages/year (MW=2,112,562)",0,{"$f":"36*2112562","v":76052232},{"$f":"120*2112562","v":253507440},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,8,10,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,76052232,8,{"$f":"G127","v":253507440},{"$f":"AE127","v":10},null,35079121.158,2.1680198787607265,7.2267329292024218,2.0446280397013166E-2,0.39535747136821142,8.5714285714285712,0.93305321036938682,1.3010299956639813,"EY PT 2019-20"]
["Peru","LAC","UMIC","Personal deduction = 7 ATUs (ATU= PEN 4,200)",0,21000,84000,147000,189000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8,14,17,20,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"7*4200","v":29400},{"$f":"AC128","v":8},{"$f":"I128+SUM(7*4200)","v":218400},{"$f":"AG128","v":30},null,23856.675999999999,1.2323594452135747,9.1546701644436972,6.4872529180412905E-2,2.7769675767195769,102.66666666666667,2.0114294617807817,2.0114294617807817,"EY PT 2019-20"]
["Peru UNITS","-","-","ATU= PEN 4,200","ATU 0","ATU 5","ATU 20","ATU 35","ATU 45"]
["Philippines","EAP","LMIC",null,0,250000,400000,800000,2000000,8000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,20,25,30,32,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F130","v":250000},{"$f":"AD130","v":20},{"$f":"J130","v":8000000},{"$f":"AH130","v":35},null,{"$f":"VLOOKUP(A130,T_Source_IMFWEOPCGDP,10,FALSE)","v":172959.84700000001},1.4454221851849811,{"$f":"BB130/BE130","v":46.253509925919396},{"$f":"VLOOKUP(A130,T_Source_PIT_formula,2,FALSE)","v":5.123886620131516E-2},0.33476099419354838,16.93548387096774,1.2287976095716842,2.0244689128340232,"EY PT 2019-20"]
["Poland","ECA","HIC","Tax free threshold is degressive, starts at PLN 8,000 for low income but reduces to PLN 3,091 for income in excess of PLN 127,000",0,8000,13000,85528,127000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17,17,17,32,32,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8000,17,{"$f":"I131+3091","v":130091},{"$f":"AG131","v":32},null,59429.468999999997,0.13461335150075127,2.1889981887605292,1.4433499988080004E-2,7.3014557584097108,31.451949775167705,1.4976475734807781,1.2092687025230238,"EY PT 2019-20"]
["Portugal","ECA","HIC","Personal deduction Euro 4,104",0,7091,10700,20261,25000,36856,80640,250000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14.5,23,{"$f":"28.5","v":28.5},{"$f":"35","v":35},{"$f":"37","v":37},{"$f":"45+2.5","v":47.5},{"$f":"48+2.5","v":50.5},{"$f":"48+5","v":53},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"4104","v":4104},{"$f":"AC132","v":14.5},{"$f":"L132","v":250000},{"$f":"AJ132","v":53},null,20506.701000000001,0.20012970394409124,12.191136936165401,2.3251460718883881E-2,3.2107394528581192,34.055909815531777,1.5321924871024615,1.5925078969641349,"EY PT 2019-20"]
["Romania","ECA","UMIC","Monthly deduction for individuals = RON 510",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"510*12","v":6120},{"$f":"AC133","v":10},{"$f":"510*12","v":6120},{"$f":"AC133","v":10},null,52633.482000000004,0.11627579569977908,0.11627579569977908,0,0,0,0,0,"EY PT 2019-20"]
["Russian Federation","ECA","UMIC",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,{"$f":"AC134","v":13},null,{"$f":"AC134","v":13},"Min threshold =  no tax free income",743526.87899999996,0,0,0,0,0,0,0,"EY PT 2019-20"]
["Rwanda","SSA","LIC",null,0,360000,1200000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,20,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,360000,20,{"$f":"G135","v":1200000},{"$f":"AE135","v":30},null,743324.26899999997,0.48431083850431905,1.6143694616810635,1.8925622317925977E-2,{"$f":"(BC135-BA135)/(BG135-BF135)","v":8.8490984404761903},{"$f":"BI135*BC135*BF135","v":128.57142857142858},{"$f":"LOG(BJ135)","v":2.1091444694250683},1.7237935880610509,"EY PT 2019-20"]
["Samoa","EAP","UMIC",null,0,15000,25000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,20,27,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15000,20,{"$f":"G136","v":25000},{"$f":"AE136","v":27},null,11706.344999999999,1.281356392622975,2.1355939877049583,3.3401409876893363E-2,8.1944414999999999,283.5,2.4525530632289252,2.8379039445929424,"Samoa Ministry for Revenue"]
["Sao Tome and Principe","SSA","LMIC","Income up to STD 11,700,000 is exempt from tax",0,11700000,50000000,100000000,150000000,240000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,13,15,20,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11700000,10,{"$f":"J137","v":240000000},{"$f":"AH137","v":25},null,{"$f":"VLOOKUP(A137,T_Source_IMFWEOPCGDP,10,FALSE)*1000","v":41980344},0.27870186104239641,5.7169612521517212,4.1264874227249927E-2,2.7582354796320629,19.218134034165569,1.2837112179836452,1.2837112179836452,"EY PT 2019-20"]
["Senegal","SSA","LMIC",null,0,630000,1500000,4000000,8000000,13500000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,20,30,35,37,40,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,630000,20,{"$f":"J138","v":13500000},{"$f":"AH138","v":40},null,833972.91,0.75542022102372608,16.18757616479413,4.4996700856755591E-2,1.295995198135198,39.16083916083916,1.5928519895411386,1.5928519895411386,"EY PT 2019-20"]
["Serbia","ECA","UMIC","Average Annual Salary (2019) RSD 2,470,644 ",0,{"$f":"2*2470644","v":4941288},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,15,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"2470644","v":2470644},{"$f":"AC139","v":10},{"$f":"F139","v":4941288},{"$f":"AD139","v":15},null,776427.98899999994,3.1820645764999593,6.3641291529999187,3.3721464794085144E-2,1.5713068920491984,75,1.8750612633917001,1.8750610733338344,"TPA Group"]
["Seychelles","SSA","HIC",null,0,{"$f":"8555.5*12","v":102666},{"$f":"10000*12","v":120000},{"$f":"83000*12","v":996000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,15,20,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,102666,15,{"$f":"H140","v":996000},{"$f":"AF140","v":30},null,240624.05,0.42666558060177279,4.1392371211439594,3.28320273369073E-2,4.0403261825924002,51.71604349548992,1.7136252920435657,0,"Deloitte Africa 2019"]
["Sierra Leone","SSA","LIC",null,0,6000000,{"$f":"F141+6000000","v":12000000},{"$f":"G141+6000000","v":18000000},{"$f":"H141+6000000","v":24000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,15,20,30,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6000000,15,{"$f":"I141","v":24000000},{"$f":"AG141","v":35},null,4901985.1140000001,1.2239939250048077,4.895975700019231,5.5463195797317767E-2,5.4466501266666674,233.33333333333337,2.3679767852945943,2.3679767852945943,"Deloitte Africa 2019"]
["Singapore","EAP","HIC",null,0,20000,{"$f":"F142+10000","v":30000},{"$f":"G142+10000","v":40000},{"$f":"H142+40000","v":80000},120000,160000,200000,240000,280000,320000,null,null,null,null,null,null,null,null,null,null,null,null,null,0,2,3.5,7,11.5,15,18,19,19.5,20,22,null,null,null,null,null,null,null,null,null,null,null,null,20000,2,{"$f":"O142","v":320000},{"$f":"AM142","v":22},null,87842.760999999999,0.22767954663902243,3.6428727462243589,2.8399253661965312E-2,5.8561840666666658,29.333333333333332,1.4673614174305061,1.4673614174305061,"EY PT 2019-20"]
["Slovak Republic","ECA","HIC","Personal allowance permitted 2019 equal to 19.2 times the subsistence minimum per taxpayer =  Euro 3,937.35\nTaxpayers earning more than Euro 36,256.38/year are not entitled to the allowance",0,36256.379999999997,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,19,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"3937.35","v":3937.35},{"$f":"AC143","v":19},{"$f":"F143","v":36256.379999999997},{"$f":"AD143","v":25},null,17405.309000000001,0.22621546104122597,2.0830644259174025,1.0162633725128526E-2,3.2312805798936415,18.274140653355005,1.2618369632889423,1.2618365586265936,"EY PT 2019-20"]
["Slovenia","ECA","HIC","General relief Euro 3,302.70\nIf tax base lower then Euro 13,316.83- relief = 4,418.64 and if base lower than 11,166.37 then relief = 6,519.82",0,8021.34,20400,48000,70907.199999999997,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,16,27,34,39,50,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"6519.82","v":6519.82},{"$f":"AC144","v":16},{"$f":"I144+3302.7","v":74209.899999999994},{"$f":"AG144","v":50},null,23302.092000000001,0.2797954793071798,3.1846883103886121,2.1906034334182516E-2,11.704390480850371,163.74177722939609,2.2141594998481602,2.2141594998481602,"EY PT 2019-20"]
["Solomon Islands","EAP","LMIC","Personal Exemption Threshold $15,080",1,15000,30000,60000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11,23,35,40,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"15080","v":15080},{"$f":"AC145","v":11},{"$f":"H145+15080","v":75080},{"$f":"AF145","v":40},null,18266.042000000001,0.82557567753320604,4.1103595403974209,2.4194902164016357E-2,8.8285869666666681,291.54666666666668,2.4647080803770303,2.4647008421959828,"Inland Revenue Division Solomon Islands\nhttp://www.ird.gov.sb/Article.aspx?ID=663"]
["South Africa","SSA","UMIC","Individuals younger than 65 who have taxable income less then ZAR 79,000 not subject to tax",0,195850,305850,423300,555600,708310,1500000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18,26,31,36,39,41,45,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"79000","v":79000},{"$f":"AC146","v":18},{"$f":"K146","v":1500000},{"$f":"AI146","v":45},null,87055.847999999998,0.90746344806152479,17.230318634079584,4.9227006364965832E-2,1.6541223757916961,67.547501759324433,1.8296092912973028,1.8103726869799561,"EY PT 2019-20"]
["South Sudan","SSA","LIC",null,0,{"$f":"600*12","v":7200},{"$f":"F147+SUM(4400*12)","v":60000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,15,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7200,10,{"$f":"G147","v":60000},{"$f":"AE147","v":15},null,60678.258000000002,0.11865864705608391,0.98882205880069918,9.0533264307081449E-3,5.7460471590909092,10.227272727272728,1.0097598372891563,1.0097598372891563,"EY PT 2019-20"]
["Spain","ECA","HIC","Personal Allowance = Euro 5,550\nNot added to maximum threshold but deducted from first tax rate band",0,12450,20200,35200,60000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,19,24,30,37,45,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"5550","v":5550},{"$f":"AC148","v":19},{"$f":"I148","v":60000},{"$f":"AG148","v":45},null,26677.484,0.20804060832723206,2.2490876575916978,1.6018344344771267E-2,12.738559853076218,119.25619834710746,2.0764809607770442,2.0764809607770442,"PWC"]
["Sri Lanka","SA","UMIC","Tax free allowance LKR 500,000",0,600000,{"$f":"F149+600000","v":1200000},{"$f":"G149+600000","v":1800000},{"$f":"H149+600000","v":2400000},{"$f":"I149+600000","v":3000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4,8,12,16,20,24,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"500000","v":500000},{"$f":"AC149","v":4},{"$f":"J149","v":3000000},{"$f":"AH149","v":24},null,704446.63,0.70977697771085935,4.2586618662651565,4.4176288282216349E-2,5.6355730399999997,95.999999999999986,1.9822712330395684,1.9822712330395684,"EY PT 2019-20"]
["St. Lucia","LAC","UMIC","Basic Allowance XCD 18,000",0,10000,{"$f":"F150+10000","v":20000},{"$f":"G150+10000","v":30000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,15,20,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F150+18000","v":28000},{"$f":"AC150","v":10},{"$f":"H150+18000","v":48000},{"$f":"AF150","v":30},null,29904.987000000001,0.93629868489827461,1.6050834598256136,1.1101965358801516E-2,29.904987000000002,840,2.9242792860618816,2.9242792860618816,"EY PT 2019-20"]
["St. Vincent and the Grenadines","LAC","UMIC","Personal Allowance XCD 18,000",0,5000,10000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,20,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"18000","v":18000},{"$f":"AC151","v":10},{"$f":"G151+18000","v":28000},{"$f":"AE151","v":30},null,20927.136999999999,0.86012721185893704,1.3379756628916799,5.4748157012455652E-3,41.854273999999997,1079.9999999999998,3.0334237554869494,2.8183083885295619,"Deloitte"]
["Sweden","ECA","HIC","Basic Allowance SEK 13,900",0,490700,703000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"32","v":32},{"$f":"20+32","v":52},{"$f":"25+32","v":57},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"13900","v":13900},{"$f":"AC152","v":32},{"$f":"G152+13900","v":716900},{"$f":"AE152","v":57},null,483866.11900000001,2.8726954531817509E-2,1.481608180133811,1.0493250551154168E-2,17.207187731152207,28.175675675675681,1.4498743395788003,1.4700732244425794,"PWC"]
["Switzerland","ECA","HIC",null,{"$f":"E154","v":0},{"$f":"F154","v":14500},31600,41400,55200,72500,78100,103600,134600,176000,755200,null,null,null,null,null,null,null,null,null,null,null,null,null,0,{"$f":"AD154+SUM(AG155*1.455)","v":8.0449999999999999},{"$f":"AE154+SUM(AH155*1.455)","v":9.6100000000000012},{"$f":"AF154+SUM(AI155*1.455)","v":12.825000000000001},{"$f":"AG154+SUM(AJ155*1.455)","v":14.610000000000001},19.035,21.15,24.805000000000003,28.46,32.114999999999995,{"$f":"AM154+SUM(AO155*1.455)","v":30.414999999999999},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ154","v":14500},{"$f":"SUM(BA154:BA156)","v":3.68},{"$f":"BB154","v":755200},{"$f":"SUM(BC154:BC156)","v":32.115000000000002},null,82789.729000000007,0.17514249865463383,9.1219044816537558,1.4508214200717498E-2,3.1782448280207918,17.876677956662618,1.2522868165216861,1.6612328480272307,"PWC"]
["Switzerland - Federal",null,null,null,0,14500,31600,41400,55200,72500,78100,103600,134600,176000,755200,null,null,null,null,null,null,null,null,null,null,null,null,null,0,0.77,0.88,2.64,2.97,5.94,6.6,8.8000000000000007,11,13.2,11.5,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F154","v":14500},{"$f":"AD154","v":0.77},{"$f":"O154","v":755200},{"$f":"AL154","v":13.2}]
["Switzerland - Zurich Canton",null,null,null,0,6700,11400,16100,23700,33000,43000,56100,73000,73001,105500,137700,188700,254900,null,null,null,null,null,null,null,null,null,null,0,2,3,4,5,6,7,8,9,10,11,12,13,null,null,null,null,null,null,null,null,null,null,{"$f":"F155","v":6700},{"$f":"AD155","v":2},{"$f":"R155","v":254900},{"$f":"AO155","v":13}]
["Switzerland - Zurich Communal",null,null,"for City of Zurich = 45.5% of Cantonal Taxes",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AC155*45.5%","v":0},{"$f":"AD155*45.5%","v":0.91},1.365,1.82,2.2749999999999999,2.73,3.1850000000000001,3.64,4.0949999999999998,4.55,5.0049999999999999,5.46,5.915,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ155","v":6700},{"$f":"AD156","v":0.91},{"$f":"BB155","v":254900},{"$f":"AO156","v":5.915}]
["Tajikistan","ECA","LIC","No tax paid on MCI (monthly calculation index) which is TJS 55/month",0,{"$f":"55*12","v":660},{"$f":"140*12","v":1680},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,8,13,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"55*12","v":660},{"$f":"AD157","v":8},{"$f":"140*12+1","v":1681},{"$f":"AE157","v":13},null,{"$f":"VLOOKUP(A157,T_Source_IMFWEOPCGDP,10,FALSE)","v":8362.5360000000001},{"$f":"AZ157/BE157","v":7.8923427056098769E-2},{"$f":"BB157/BE157","v":0.20101557709288187},{"$f":"VLOOKUP(A157,T_Source_PIT_formula,2,FALSE)","v":1.9251025413842642E-3},40.952673849167482,42.017629774730658,1.623431550097814,1.6667853209646175,"PKF 2019/20"]
["Tajikistan UNITS","-","-",null,"-","MCI","TJS140/mth"]
["Tanzania","SSA","LIC",null,0,{"$f":"170000*12","v":2040000},{"$f":"360000*12","v":4320000},{"$f":"540000*12","v":6480000},{"$f":"720000*12","v":8640000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,9,20,25,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F159","v":2040000},{"$f":"AD159","v":9},{"$f":"I159","v":8640000},{"$f":"AG159","v":30},null,{"$f":"VLOOKUP(A159,T_Source_IMFWEOPCGDP,10,FALSE)","v":2551090.878},{"$f":"AZ159/BE159","v":0.79965791010915133},{"$f":"BB159/BE159","v":3.3867864428152292},{"$f":"VLOOKUP(A159,T_Source_PIT_formula,2,FALSE)","v":4.0029551127184017E-2},8.117107339090909,194.72727272727272,2.2894267813376117,2.2894267813376117,"EY PT 2019-20"]
["Thailand","EAP","UMIC","Personal Allowance TNB 60,000",0,150000,{"$f":"F160+150000","v":300000},{"$f":"G160+200000","v":500000},{"$f":"H160+250000","v":750000},{"$f":"I160+250000","v":1000000},{"$f":"J160+1000000","v":2000000},{"$f":"K160+3000000","v":5000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,5,10,15,20,25,30,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F160+60000","v":210000},5,{"$f":"L160+60000","v":5060000},{"$f":"AJ160","v":35},null,249171.095,{"$f":"AZ160/BE160","v":0.84279438592185019},20.307331394116961,6.9198705117214529E-2,1.5412645051546392,45.463917525773191,1.6576668552015936,1.6576668552015936,"EY PT 2019-20"]
["Timor-Leste","EAP","LMIC",null,0,{"$f":"500*12","v":6000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6000,10,{"$f":"F161","v":6000},{"$f":"AD161","v":10},null,2262.8420000000001,{"$f":"AZ161/BE161","v":2.651532895359022},2.651532895359022,5.9145154366263032E-2,0,0,0,0,"PWC"]
["Togo","SSA","LIC",null,0,900000,4000000,6000000,10000000,15000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.5,7,15,25,30,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"E162","v":0},{"$f":"AC162","v":0.5},{"$f":"J162","v":15000000},{"$f":"AH162","v":35},null,390318.45500000002,0.1,38.430158266536488,0.1625650477496309,0.90007455122145053,3.1502609292750772,0.49834652694870296,1.7962499550255961,"Deloitte Africa 2019"]
["Tonga","EAP","UMIC",null,0,10000,30000,60000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,20,25,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10000,10,{"$f":"H163","v":60000},{"$f":"AF163","v":25},null,11138.287,{"$f":"AZ163/BE163","v":0.89780412374003293},5.3868247424401972,5.1812235667017793E-2,3.3414861000000005,75,1.8750612633917001,1.8751046906685627,"Ministry of Revenue & Customs Tonga\nhttp://www.revenue.gov.to/Article.aspx?ID=1871"]
["Trinidad and Tobago","LAC","HIC","Personal Allowance TTD 72,000",0,1000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25,30,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"72000","v":72000},{"$f":"AC164","v":25},{"$f":"F164+72000","v":1072000},{"$f":"AD164","v":30},null,110807.69,{"$f":"AZ164/BE164","v":0.64977439742674903},9.6744188061315963,1.8085820853942985E-2,0.55403844999999996,10.799999999999999,1.0334237554869496,1.0334237554869496,"EY PT 2019-20"]
["Tunisia","MENA","LMIC",null,0,5000,20000,30000,50000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,26,28,32,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5000,26,{"$f":"I165","v":50000},{"$f":"AG165","v":35},null,9696.7039999999997,{"$f":"AZ165/BE165","v":0.51563912851212124},5.1563912851212121,2.5880903647771552E-2,1.9393408000000001,35.000000000000007,1.5440680443502757,1.5440680443502757,"EY PT 2019-20"]
["Turkey","ECA","UMIC",null,0,18000,{"$f":"F166+22000","v":40000},{"$f":"G166+108000","v":148000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15,20,27,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"E166","v":0},{"$f":"AC166","v":15},{"$f":"H166","v":148000},{"$f":"AF166","v":35},"Min threshold =  no tax free income",51462.192999999999,0.1,2.8758976516993746,1.7480016027171013E-2,7.2048765874909746,25.217068056218412,1.4016945905230873,1.4028832645007818,"EY PT 2019-20"]
["Uganda","SSA","LIC",null,0,2820000,4020000,4920000,120000000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,20,30,40,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2820000,10,{"$f":"I167","v":120000000},{"$f":"AG167","v":40},null,2911693.9180000001,{"$f":"AZ167/BE167","v":0.96850839388262921},41.213123143941672,3.0004416168212849E-2,0.7454413512544803,28.878648233486942,1.4605768606954879,1.4605768606954879,"EY PT 2019-20"]
["Ukraine","ECA","LMIC",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,{"$f":"AC168","v":18},{"$f":"0","v":0},{"$f":"AC168","v":18},"Min threshold =  no tax free income",96090.623999999996,0,0,0,0,0,0,0,"EY PT 2019-20"]
["United Kingdom","ECA","HIC","Personal Allowance GBP 12,500\nFor Income over GBP 100,000 Personal Allowance reduced at maximum threshold Personal Allowance is zero",0,37500,{"$f":"F169+112500","v":150000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20,40,45,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"12500","v":12500},{"$f":"AC169","v":20},{"$f":"G169","v":150000},{"$f":"AE169","v":45},null,32675.466,0.38255001474194739,4.5906001769033686,2.0127101506277206E-2,5.940993818181818,102.27272727272728,2.0097598372891561,1.9495304073515112,"EY PT 2019-20"]
["United Kingdom - Scotland",null,null,"Personal Allowance GBP 12,500\nFor Income over GBP 100,000 Personal Allowance reduced at maximum threshold Personal Allowance is zero",0,2049,{"$f":"F170+10395","v":12444},{"$f":"G170+18486","v":30930},{"$f":"H170+119070","v":150000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,19,20,21,41,46,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"12500","v":12500},{"$f":"AC170","v":19},{"$f":"I170","v":150000},{"$f":"AG170","v":46},null,32500,0.38461538461538464,4.615384615384615,{"$f":"LOG(#REF!)","v":{"$error":"#REF!"}},6.3818181818181827,112.90909090909093,2.0527289106823363,null,"EY PT 2019-20"]
["United States","NA","HIC","Federal - Personal Exemption USD 12,200",0,9700,39475,84200,160725,204100,510300,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,12,22,24,32,35,37,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12200,{"$f":"AC171","v":10},{"$f":"K171","v":510300},{"$f":"AI171","v":37},null,{"$f":"VLOOKUP(A171,T_Source_IMFWEOPCGDP,10,FALSE)","v":65111.595999999998},0.18737061828433757,7.8373136484014312,{"$f":"VLOOKUP(A171,T_Source_PIT_formula,2,FALSE)","v":2.7441265135294029E-2},3.5294380485846215,24.468580606303956,1.3886087771683471,1.0626000983230504,"EY PT 2019-20"]
["Uruguay","LAC","HIC",null,0,348936,498480,747720,1495440,2492400,3738600,5732520,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,10,15,24,25,27,31,36,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,348936,10,{"$f":"L172","v":5732520},{"$f":"AJ172","v":36},null,{"$f":"VLOOKUP(A172,T_Source_IMFWEOPCGDP,10,FALSE)","v":568513.72100000002},0.61376882757769002,10.083345024490622,{"$f":"VLOOKUP(A172,T_Source_PIT_formula,2,FALSE)","v":5.1264929440130759E-2},2.7456350167472081,60.666666666666671,1.7829501332654123,1.7829501332654123,"PWC"]
["Uzbekistan","ECA","LMIC",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,{"$f":"AC173","v":12},{"$f":"0","v":0},{"$f":"AC173","v":12},null,{"$f":"VLOOKUP(A173,T_Source_IMFWEOPCGDP,10,FALSE)","v":15847220.834000001},0,0,{"$f":"VLOOKUP(A173,T_Source_PIT_formula,2,FALSE)","v":0},0,0,0,1.5978170247485595,"PWC"]
["Vanuatu","EAP","LMIC","No Personal Income Tax",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,0,0,0,null,{"$f":"VLOOKUP(A174,T_Source_IMFWEOPCGDP,10,FALSE)","v":365963.09},0,0,{"$f":"VLOOKUP(A174,T_Source_PIT_formula,2,FALSE)","v":0},0,0,0,0,"Vanuatu Customs & Inland Revenue Department"]
["Venezuela, RB","LAC","UMIC","Subject to tax only if income in excess of 1,500 tax units (for 2019 TU  = VEF 50 [for 2018 this was VEF17])",0,50000,75000,100000,125000,150000,200000,300000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6,9,12,16,20,24,29,34,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"50*1500","v":75000},{"$f":"AC175","v":6},{"$f":"L175+SUM(50*1500)","v":375000},{"$f":"AJ175","v":34},null,{"$f":"VLOOKUP(A175,T_Source_IMFWEOPCGDP,9,FALSE)","v":70637.675000000003},1.0617563502762513,5.3087817513812565,{"$f":"VLOOKUP(A175,T_Source_PIT_formula,2,FALSE)","v":3.7912819614080141E-2},6.5928496666666669,238,2.3765769570565118,2.3765769570565118,"EY PT 2019-20"]
["Venezuela UNITS","-","-","for 2019 TU  = VEF 50 [for 2018 this was VEF17]","0 TU","1,000 TU","1,500 TU","2,000 TU","2,500 TU","3,000 TU","4,000 TU","6,000 TU"]
["Vietnam","EAP","LMIC","Personal relief VND9 million/month = VND 108,000,000/year",0,{"$f":"(5000*12)*1000","v":60000000},{"$f":"(10000*12)*1000","v":120000000},{"$f":"(18000*12)*1000","v":216000000},{"$f":"(32000*12)*1000","v":384000000},{"$f":"(52000*12)*1000","v":624000000},{"$f":"(80000*12)*1000","v":960000000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5,10,15,20,25,30,35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"108000000","v":108000000},{"$f":"AC177","v":5},{"$f":"K177+108000000","v":1068000000},{"$f":"AI177","v":35},null,{"$f":"VLOOKUP(A177,T_Source_IMFWEOPCGDP,10,FALSE)","v":63721807.186999999},{"$f":"AZ177/BE177","v":1.6948671854685451},{"$f":"BB177/BE177","v":16.760353278522281},{"$f":"VLOOKUP(A177,T_Source_PIT_formula,2,FALSE)","v":7.7679220514181455E-2},1.9913064745937499,118.125,2.0723418215173193,2.0723418215173193,"EY PT 2019-20"]
["Yemen, Rep.","MENA","LIC",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,{"$f":"AC178","v":15},0,{"$f":"AC178","v":15},"Min threshold =  no tax free income",{"$f":"VLOOKUP(A178,T_Source_IMFWEOPCGDP,10,FALSE)","v":533932.321},{"$f":"AZ178/BE178","v":0},{"$f":"BB178/BE178","v":0},{"$f":"VLOOKUP(A178,T_Source_PIT_formula,2,FALSE)","v":0},0,0,0,1.1346985738974562,"PKF 2016/17"]
["Zambia","SSA","LMIC","Personal exemption ZMW 39,600",0,39600,49200,74400,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,25,30,37.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F179","v":39600},{"$f":"AD179","v":25},{"$f":"H179","v":74400},{"$f":"AF179","v":37.5},null,{"$f":"VLOOKUP(A179,T_Source_IMFWEOPCGDP,10,FALSE)","v":17111.300999999999},{"$f":"AZ179/BE179","v":2.3142600320104241},{"$f":"BB179/BE179","v":4.3480036965044331},{"$f":"VLOOKUP(A179,T_Source_PIT_formula,2,FALSE)","v":2.3103604039246089E-2},6.1463006465517243,533.40517241379314,2.7270572227147065,2.7270572227147065,"EY PT 2019-20"]
["Zimbabwe","SSA","LMIC",null,0,4200,18000,60000,120000,{"$f":"I180+60000","v":180000},{"$f":"J180+60000","v":240000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,20,25,30,35,40,45,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"F180","v":4200},{"$f":"AD180","v":20},{"$f":"K180","v":240000},{"$f":"AI180","v":45},null,{"$f":"VLOOKUP(A180,T_Source_IMFWEOPCGDP,10,FALSE)","v":6538.61},{"$f":"AZ180/BE180","v":0.64233835631732128},{"$f":"BB180/BE180","v":36.705048932418357},{"$f":"VLOOKUP(A180,T_Source_PIT_formula,2,FALSE)","v":5.1040115441460955E-2},0.69323685326547935,20.038167938931302,1.3018580120862115,1.3587462876137508,"EY PT 2019-20"]
[null,null,"Check Total"]
["Sources",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.1,"Where minimum threshold = zero",null,null,null,{"$f":"SUM(BK5:BK180)","v":245.48234319285123}]
["EY PT 2019-20","EY Worldwide Personal Tax and Immigration Guide 2019/20:  https://www.ey.com/Publication/vwLUAssets/ey-2019-20-worldwide-personal-tax-and-immigration-guide/$FILE/ey-2019-20-worldwide-personal-tax-and-immigration-guide.pdf\nPersonal Tax Information as at 1 July 2019 & report produced November 2019"]
["Deloitte Africa 2018","Deloitte Guide to Fiscal Information - Key Economies in Africa 2018:   https://www2.deloitte.com/content/dam/Deloitte/za/Documents/tax/za_Key_Fiscal_Guide_2018_17518.pdf\nTax Information as at February 2018 based on information available March 2018"]
["DTTL 2018","Deloitte Corporate Tax Rates 2014-2018\nhttps://www2.deloitte.com/content/dam/Deloitte/global/Documents/Tax/dttl-tax-corporate-tax-rates-2014-2018.pdf"]
["PKF 2017-18","PKF Worldwide Tax Guide 2017/18\nhttp://www.pkf.com/media/10031606/pkf-wwtg-2017-2018-all-countries_online.pdf\nTax information correct at time of publishing in April 2017"]
["PKF 2019-20","PKF Worldwide Tax Guide 2019/20\nhttps://www.pkf.com/media/10044170/pkf-wwtg-2019-2020_online.pdf\nTax information correct at time of publishing in June 2019"]
["PKF Africa 2019-20","PKF Africa Tax Guide 2019/20\nhttps://www.pkf.com/media/10044266/pkf-africa-2019-2020_online.pdf\nTax information correct at time of publishing in June 2019"]
["PWC","WorldWide Tax Summaries: http://www.pwc.com/gx/en/services/tax/corporate-tax/worldwide-tax-summaries.html"]
["Societe Generale","Societe Generale Country Profiles - individual country profile links added as comments in to database\nhttps://import-export.societegenerale.fr/en/find-your-market/country"]
["IMF","select country then search for Staff Report reference, http://www.imf.org/external/country/"]
["KPMG","see links in Source boxes"]

{"sheet":"T1_HTP","index":9,"n_rows":170,"n_cols":19,"rows_kept":170,"cut":false,"hidden":false,"merged":[[2,9,2,13],[2,14,2,17],[3,0,5,0],[3,1,5,1],[3,2,5,2],[3,3,5,3],[3,4,5,4],[6,9,6,12],[7,1,7,8],[3,5,3,8],[3,9,3,13],[3,14,3,17],[4,5,4,6],[4,7,5,7],[4,8,5,8],[4,9,4,12],[4,13,5,13],[4,14,4,16],[4,17,5,17]]}
["INDICATOR T1-HTP: HARMFUL TAX PRACTICES"]
[]
[null,null,null,null,null,"STEP 1",null,null,null,"STEP 2",null,null,null,null,"STEP 3"]
["Scoring criteria","Final Score                                 (the level of aggressivity to each country a value from 0 to 9) ","Final Score \nout of total of 7","Final Score \nout of total of 9","ADJUSTED Final Score                                 (the level of aggressivity to each country a value from 0 to 9) ","Developed countries responsible with HTP or very aggressive tax regimes or EU BLACKLISTED will receive 2 points, developing countries 1 and countries with no HTP 0 at this stage.",null,null,null,"The absence of any of the anti-tax avoidance rules will result in an additional 0,25 point for developing and 0,5 for developed countries (accumulative, to a maximum of 2 points)",null,null,null,null,"Countries that are assessed as having attracted shifted profit over THRESHOLD VALUE will receive additional 5 points. "]
[null,null,null,null,null,"Low/lower middle or upper middle/high income country",null,"Existence of HTP ","Total","Anti-tax avoidance rules",null,null,null,"Total","Failing Economic Test",null,null,"Total"]
[null,null,null,null,null,"low/lower middle income","upper middle / high income",null,null,"CFC Rules","Interest Limitation","GAAR","Exit Tax",null,"Weight of passive income","High levels of FDI","Income from trade and services"]
["Scores","7 or 9",7,9,"7 or 9",1,2,null,null,"0.25 / 0.50",null,null,null,null,2,1,2]
["Yes","shaded Green to make checking scores easier"]
["Afghanistan",{"$f":"SUM(I9,N9,R9)","v":1},{"$f":"B9","v":1},null,{"$f":"B9","v":1},"x",null,"No",0,"No","No","No","No",1,"no","No","No",0]
["Albania",1.5,null,{"$f":"B10","v":1.5},1.5,null,"x","No",0,"No","Yes","No","No",1.5,"no","No","No",0]
["Algeria",2,null,{"$f":"B11","v":2},2,null,"x","No",0,"No","No","No","No",2,"no","No","No",0]
["Angola",0.75,{"$f":"B12","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Antigua and Barbuda",3.5,null,{"$f":"B13","v":3.5},3.5,null,"x","Yes",2,"No","Yes","No","No",1.5,"no","No","No",0,"one of HTP regime will only be abolished from 2021"]
["Argentina",1.5,null,{"$f":"B14","v":1.5},1.5,null,"x","NO",0,"No","Yes","No","No",1.5,"no","No","No",0]
["Armenia",1.5,{"$f":"B15","v":1.5},null,1.5,null,"x","NO",0,"No","Yes","No","No",1.5,"no","No","No",0]
["Australia",3,null,{"$f":"B16","v":3},3,null,"x","YES",2,"Yes","Yes","No","No",1,"no","No","No",0,"OFFSHORE BANKING SYSTEM IN THE PROCESS OF BEING AMENDED"]
["Austria",1,null,{"$f":"B17","v":1},1,null,"x","No",0,"No","Yes","No","Yes",1,"no","No","No",0]
["Azerbaijan",1,null,{"$f":"B18","v":1},1,null,"x","no",0,"Yes","Yes","No","No",1,"no","No","No",0]
["Bahamas, The",2,null,{"$f":"B19","v":2},2,null,"x","No",0,"No","No","No","No",2,"No","No","No",0]
["Bahrain",2,null,{"$f":"B20","v":2},2,null,"x","No",0,"No","No","No","No",2,"no","No","No",0]
["Bangladesh","N/A",{"$f":"B21","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0,"Should N/A countries be zero or blank?"]
["Barbados",{"$f":"SUM(I22,N22,R22)","v":2},null,{"$f":"B22","v":2},{"$f":"B22","v":2},null,"x","NO",0,"No","No","No","No",2,"no","No","No",0,"Economic substance requirements were introduced taking effect from 1 January 2019. Domestic legal framework meets all aspects of the standard. BUT SUBJECT TO FINAL LAW ADOPTED. ACCORDING TO EC IT WAS ENACTED BY PARLIAMENT AND BARBADOS REMOVED FROM BLACKLIST https://data.consilium.europa.eu/doc/document/ST-7446-2020-ADD-1/en/pdf"]
["Belarus",{"$f":"SUM(I23,N23,R23)","v":1.5},null,{"$f":"B23","v":1.5},{"$f":"B23","v":1.5},null,"x","NO",0,"No","Yes","No","No",1.5,"no","No","No",0]
["Belgium",{"$f":"SUM(I24,N24,R24)","v":2.5},null,{"$f":"B24","v":2.5},{"$f":"B24","v":2.5},null,"x","Yes",2,"No","Yes","Yes","Yes",0.5,"no","No","No",0]
["Belize",{"$f":"SUM(I25,N25,R25)","v":0},null,{"$f":"B25","v":0},{"$f":"B25","v":0},null,"x","No",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Benin","N/A",{"$f":"B26","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0,"Should N/A countries be zero or blank?"]
["Bhutan","N/A",{"$f":"B27","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0,"Should N/A countries be zero or blank?"]
["Bolivia",{"$f":"SUM(I28,N28,R28)","v":0.75},{"$f":"B28","v":0.75},null,{"$f":"B28","v":0.75},"x",null,"No",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Botswana",{"$f":"SUM(I29,N29,R29)","v":2},null,{"$f":"B29","v":2},{"$f":"B29","v":2},null,"x","NO",0,"No","No","No","No",2,"no","No","No",0,"EU GREY LIST The following developing countries without a financial centre, which have made meaningful progress in the delivery of their commitments, were granted until 31 August 2020 to sign the MAC and until 30 August 2021 to ratify the MAC:"]
["Brazil",{"$f":"SUM(I30,N30,R30)","v":1},null,{"$f":"B30","v":1},{"$f":"B30","v":1},null,"x","NO",0,"Yes","Yes","No","No",1,"no","No","No",0]
["Bulgaria",{"$f":"SUM(I31,N31,R31)","v":1.5},null,{"$f":"B31","v":1.5},{"$f":"B31","v":1.5},null,"x","No",0,"No","Yes","No","No",1.5,"no","No","No",0]
["Burkina Faso","N/A",{"$f":"B32","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0,"Should N/A countries be zero or blank?"]
["Burundi","N/A",{"$f":"B33","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0,"Should N/A countries be zero or blank?"]
["Cabo Verde",{"$f":"SUM(I34,N34,R34)","v":0.5},{"$f":"B34","v":0.5},null,{"$f":"B34","v":0.5},"x",null,"NO",0,"Yes","Yes","No","No",0.5,"no","No","No",0,"The Council concluded in December 2017 that this regime is not harmful as long as the complementary legislation is not in force and for this reason no commitment was sought, but this legislation has in the meantime come into force."]
["Cambodia",{"$f":"SUM(I35,N35,R35)","v":0.75},{"$f":"B35","v":0.75},null,{"$f":"B35","v":0.75},"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Cameroon",{"$f":"SUM(I36,N36,R36)","v":0.75},{"$f":"B36","v":0.75},null,{"$f":"B36","v":0.75},"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Canada",{"$f":"SUM(I37,N37,R37)","v":0.5},null,{"$f":"B37","v":0.5},{"$f":"B37","v":0.5},null,"x","NO",0,"Yes","Yes","Yes","No",0.5,"no","No","No",0,"Ring-fencing implicated, but no harmful economic effects in practice. Regime is subject to annual monitoring."]
["Central African Republic","N/A",{"$f":"B38","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Chad",{"$f":"SUM(I39,N39,R39)","v":0.75},{"$f":"B39","v":0.75},null,{"$f":"B39","v":0.75},"x",null,"NO",0,"No","yes","No","no",0.75,"no","no","no",0]
["Chile",0.5,null,{"$f":"B40","v":0.5},0.5,null,"x","NO",0,"Yes","Yes","Yes","No",0.5,"no","No","No",0,"Potentially harmful but not actually harmful From 1 January 2022: Abolished. In accordance with Law No. 21,047 no new taxpayers will benefit from this regime as from 23 November 2017. With regard to existing business\nplatform companies, the law provides for a grandfathering period which expires by 31 December 2021. Therefore, this regime will be considered\ncompletely abolished by 1 January 2022."]
["China",0.5,null,{"$f":"B41","v":0.5},0.5,null,"x","NO",0,"Yes","Yes","Yes","No",0.5,"no","No","No",0]
["Colombia",0.5,null,{"$f":"B42","v":0.5},0.5,null,"x","NO",0,"Yes","Yes","Yes","No",0.5,"no","No","No",0,"Found harmful in 2017 and then amended as per OECD july 2019 review"]
["Congo, Dem. Rep.",0.75,{"$f":"B43","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Congo, Rep.",1.75,{"$f":"B44","v":1.75},null,1.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","Yes","No",1]
["Costa Rica",1.5,null,{"$f":"B45","v":1.5},1.5,null,"x","NO",0,"No","Yes","No","No",1.5,"no","No","No",0,"https://data.consilium.europa.eu/doc/document/ST-13207-2019-INIT/en/pdf"]
["Cote d'Ivoire",0.75,{"$f":"B46","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Croatia",1.5,null,{"$f":"B47","v":1.5},1.5,null,"x","NO",0,"No","Yes","No","No",1.5,"no","No","No",0,"https://data.consilium.europa.eu/doc/document/ST-9652-2019-INIT/en/pdf"]
["Cyprus",6.5,null,{"$f":"B48","v":6.5},6.5,null,"x","Yes",2,"No","Yes","No","No",1.5,"yes","Yes","No",3]
["Czech Republic",3.5,null,{"$f":"B49","v":3.5},3.5,null,"x","No",0,"No","Yes","No","No",1.5,"yes","No","No",2]
["Denmark",0,null,{"$f":"B50","v":0},0,null,"x","No",0,"Yes","Yes","Yes","Yes",0,"no","No","No",0]
["Djibouti","N/A",{"$f":"B51","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Dominican Republic",{"$f":"SUM(I52,N52,R52)","v":3.5},null,{"$f":"B52","v":3.5},{"$f":"B52","v":3.5},null,"x","Yes",2,"No","Yes","No","No",1.5,"no","No","No",0]
["Ecuador",1.5,null,{"$f":"B53","v":1.5},1.5,null,"x","No",0,"No","Yes","No","No",1.5,"no","No","No",0]
["Egypt, Arab Rep.",0.5,{"$f":"B54","v":0.5},null,0.5,"x",null,"NO",0,"No","Yes","Yes","No",0.5,"no","No","No",0]
["El Salvador",1,{"$f":"B55","v":1},null,1,"x",null,"NO",0,"No","No","No","No",1,"no","No","No",0]
["Estonia",1,null,{"$f":"B56","v":1},1,null,"x","No",0,"No","Yes","Yes","No",1,"no","No","No",0]
["Eswatini",2,{"$f":"B57","v":2},null,2,"x",null,"Yes",1,"No","No","No","No",1,"no","No","No",0]
["Ethiopia","N/A",{"$f":"B58","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Fiji",{"$f":"SUM(I59,N59,R59)","v":3.5},null,{"$f":"B59","v":3.5},{"$f":"B59","v":3.5},null,"x","Yes",2,"No","Yes","No","No",1.5,"no","No","No",0]
["Finland",{"$f":"SUM(I60,N60,R60)","v":1},null,{"$f":"B60","v":1},{"$f":"B60","v":1},null,"x","No",0,"Yes","Yes","No","No",1,"no","No","No",0]
["France",{"$f":"SUM(I61,N61,R61)","v":0},null,{"$f":"B61","v":0},{"$f":"B61","v":0},null,"x","NO",0,"Yes","Yes","Yes","Yes",0,"no","No","No",0]
["Gambia, The","N/A",{"$f":"B62","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Georgia",{"$f":"SUM(I63,N63,R63)","v":1.5},{"$f":"B63","v":1.5},null,{"$f":"B63","v":1.5},null,"x","NO",0,"No","Yes","No","No",1.5,"no","No","No",0]
["Germany",{"$f":"SUM(I64,N64,R64)","v":1},null,{"$f":"B64","v":1},{"$f":"B64","v":1},null,"x","No",0,"Yes","Yes","No","No",1,"no","No","No",0]
["Ghana",{"$f":"SUM(I65,N65,R65)","v":0.75},{"$f":"B65","v":0.75},null,{"$f":"B65","v":0.75},"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Greece",{"$f":"SUM(I66,N66,R66)","v":2.5},null,{"$f":"B66","v":2.5},{"$f":"B66","v":2.5},null,"x","Yes",2,"Yes","Yes","Yes","No",0.5,"no","No","No",0]
["Guatemala",{"$f":"SUM(I67,N67,R67)","v":3.5},{"$f":"B67","v":3.5},null,{"$f":"B67","v":3.5},null,"x","Yes",2,"No","Yes","No","No",1.5,"no","No","No",0]
["Guinea","N/A",{"$f":"B68","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Guinea-Bissau","N/A",{"$f":"B69","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Guyana",{"$f":"SUM(I70,N70,R70)","v":2},null,{"$f":"B70","v":2},{"$f":"B70","v":2},null,"x","NO",0,"No","No","No","No",2,"no","No","No",0]
["Haiti","N/A",{"$f":"B71","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Honduras",{"$f":"SUM(I72,N72,R72)","v":0.75},{"$f":"B72","v":0.75},null,{"$f":"B72","v":0.75},"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Hong Kong SAR, China",7,null,{"$f":"B73","v":7},7,null,"x","Yes",2,"No","No","No","No",2,"yes","Yes","no",3]
["Hungary",3,null,{"$f":"B74","v":3},3,null,"x","Yes",2,"Yes","Yes","No","No",1,"no","No","No",0]
["Iceland",1,null,{"$f":"B75","v":1},1,null,"x","No",0,"Yes","Yes","No","No",1,"no","No","No",0]
["India",0.5,{"$f":"B76","v":0.5},null,0.5,"x",null,"NO",0,"No","Yes","Yes","No",0.5,"no","No","No",0]
["Indonesia",0.5,{"$f":"B77","v":0.5},null,0.5,"x",null,"NO",0,"Yes","Yes","No","No",0.5,"no","No","No",0]
["Ireland",6,null,{"$f":"B78","v":6},6,null,"x","Yes",2,"Yes","No","No","Yes",1,"yes","Yes","No",3]
["Israel",0.5,null,{"$f":"B79","v":0.5},0.5,null,"x","NO",0,"Yes","Yes","No","Yes",0.5,"no","No","No",0]
["Italy",2,null,{"$f":"B80","v":2},2,null,"x","Yes",2,"Yes","Yes","YES","YES",0,"no","No","No",0]
["Jamaica",4,null,{"$f":"B81","v":4},4,null,"x","Yes",2,"No","No","No","No",2,"no","No","No",0]
["Japan",3,null,{"$f":"B82","v":3},3,null,"x","Yes",2,"Yes","Yes","No","No",1,"no","No","No",0,"EU GREY LIST The following developing countries without a financial centre, which have made meaningful progress in the delivery of their commitments, were granted until 31 August 2020 to sign the MAC and until 30 August 2021 to ratify the MAC:"]
["Jordan",4,{"$f":"B83","v":4},null,4,null,"x","Yes",2,"No","No","No","No",2,"no","No","No",0]
["Kazakhstan",3,null,{"$f":"B84","v":3},3,null,"x","Yes",2,"Yes","Yes","No","No",1,"no","No","No",0]
["Kenya",0.75,{"$f":"B85","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Kiribati","N/A",{"$f":"B86","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0,"https://data.consilium.europa.eu/doc/document/ST-7523-2019-INIT/en/pdf"]
["Korea, Rep.",{"$f":"SUM(I87,N87,R87)","v":3},null,{"$f":"B87","v":3},{"$f":"B87","v":3},null,"x","Yes",2,"Yes","Yes","No","No",1,"no","No","No",0]
["Kosovo",2,{"$f":"B88","v":2},null,2,null,"x","No",0,"No","No","No","No",2,"no","No","No",0]
["Kyrgyz Republic",0.75,{"$f":"B89","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Lao PDR",0.75,{"$f":"B90","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Latvia",3.5,null,{"$f":"B91","v":3.5},3.5,null,"x","Yes",2,"No","Yes","No","No",1.5,"no","No","No",0,"EU GREY LIST The following developing countries without a financial centre, which have made meaningful progress in the delivery of their commitments, were granted until 31 August 2020 to sign the MAC and until 30 August 2021 to ratify the MAC:"]
["Lebanon",1.5,null,{"$f":"B92","v":1.5},1.5,null,"x","NO",0,"No","Yes","No","No",1.5,"no","No","No",0]
["Lesotho","N/A",{"$f":"B93","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Liberia",{"$f":"SUM(I94,N94,R94)","v":3},{"$f":"B94","v":3},null,{"$f":"B94/5*7","v":4.2},"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","yes","yes","No",3]
["Lithuania",3,null,{"$f":"B95","v":3},{"$f":"B95","v":3},null,"x","Yes",2,"Yes","Yes","No","No",1,"no","No","No",0]
["Luxembourg",6,null,{"$f":"B96","v":6},{"$f":"B96","v":6},null,"x","Yes",2,"No","Yes","Yes","No",1,"yes","Yes","No",3]
["Madagascar",0.75,{"$f":"B97","v":0.75},null,{"$f":"B97","v":0.75},"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Malawi",1,{"$f":"B98","v":1},null,{"$f":"B98","v":1},"x",null,"No",0,"No","No","No","No",1,"no","No","No",0]
["Malaysia",3.5,null,{"$f":"B99","v":3.5},{"$f":"B99","v":3.5},null,"x","Yes",2,"No","Yes","No","No",1.5,"no","No","No",0]
["Maldives",2,{"$f":"B100","v":2},null,{"$f":"B100/7*9","v":2.5714285714285712},null,"x","Yes",2,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Mali","N/A",{"$f":"B101","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Malta",{"$f":"SUM(I102,N102,R102)","v":4.5},null,{"$f":"B102","v":4.5},{"$f":"B102","v":4.5},null,"x","Yes",2,"No","Yes","No","No",1.5,"no","Yes","No",1]
["Mauritania","N/A",{"$f":"B103","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Mauritius",{"$f":"SUM(I104,N104,R104)","v":5.5},null,{"$f":"B104","v":5.5},{"$f":"B104","v":5.5},null,"x","Yes",2,"No","Yes","No","No",1.5,"yes","No","No",2]
["Mexico",1,null,{"$f":"B105","v":1},1,null,"x","NO",0,"Yes","Yes","No","No",1,"no","No","No",0]
["Moldova",0.75,{"$f":"B106","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0,"EU GREY LIST The following developing countries without a financial centre, which have made meaningful progress in the delivery of their commitments, were granted until 31 August 2020 to sign the MAC and until 30 August 2021 to ratify the MAC:"]
["Mongolia",0.75,{"$f":"B107","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Morocco",1.75,{"$f":"B108","v":1.75},null,1.75,"x",null,"Yes",1,"No","Yes","No","No",0.75,"no","No","No",0]
["Mozambique",1.75,{"$f":"B109","v":1.75},null,1.75,"x",null,"No",0,"No","Yes","No","No",0.75,"no","Yes","No",1]
["Myanmar",1,{"$f":"B110","v":1},null,1,"x",null,"NO",0,"No","No","No","No",1,"no","No","No",0,"EU GREY LIST The following developing countries without a financial centre, which have made meaningful progress in the delivery of their commitments, were granted until 31 August 2020 to sign the MAC and until 30 August 2021 to ratify the MAC:"]
["Namibia",3.5,null,{"$f":"B111","v":3.5},3.5,null,"x","Yes",2,"No","Yes","No","No",1.5,"no","No","No",0]
["Nepal","N/A",{"$f":"B112","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Netherlands",{"$f":"SUM(I113,N113,R113)","v":4},null,{"$f":"B113","v":4},{"$f":"B113","v":4},null,"x","Yes",2,"Yes","Yes","Yes","Yes",0,"yes","No","No",2]
["New Zealand",1,null,{"$f":"B114","v":1},1,null,"x","No",0,"Yes","Yes","No","No",1,"no","No","No",0]
["Nicaragua",0.75,{"$f":"B115","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Niger",0,{"$f":"B116","v":0},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","no","no",0]
["Nigeria",0.75,{"$f":"B117","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["North Macedonia",3.5,null,{"$f":"B118","v":3.5},3.5,null,"x","Yes",2,"No","Yes","No","No",1.5,"no","no","no",0]
["Norway",0.5,null,{"$f":"B119","v":0.5},0.5,null,"x","No",0,"Yes","Yes","No ","Yes",0.5,"no","No","No",0]
["Occupied Palestinian Territory","N/A",{"$f":"B120","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0,"EU GREY LIST Oman does not apply any automatic exchange of financial information, has not signed and ratified the OECD Multilateral Convention on Mutual Administrative Assistance as amended, and has not resolved these issues yet."]
["Oman",{"$f":"SUM(I121,N121,R121)","v":1.5},null,{"$f":"B121","v":1.5},{"$f":"B121","v":1.5},null,"x","NO",0,"No","Yes","No","No",1.5,"no","No","No",0]
["Pakistan",1,{"$f":"B122","v":1},null,1,"x",null,"No",0,"No","No","No","No",1,"no","No","No",0]
["Panama",3.5,null,{"$f":"B123","v":3.5},3.5,null,"x","YES",2,"No","Yes","No ","No",1.5,"no","No","No",0]
["Papua New Guinea",0.75,{"$f":"B124","v":0.75},null,0.75,"x",null,"No",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Paraguay",2,null,{"$f":"B125","v":2},2,null,"x","NO",0,"No","No","No","No",2,"no","No","No",0]
["Peru",0.5,null,{"$f":"B126","v":0.5},0.5,null,"x","NO",0,"Yes","Yes","Yes","No",0.5,"no","No","No",0]
["Philippines",2,{"$f":"B127","v":2},null,2,"x",null,"Yes",1,"No","No","No","No",1,"no","No","No",0]
["Poland",0.5,null,{"$f":"B128","v":0.5},0.5,null,"x","NO",0,"Yes","Yes","Yes","No",0.5,"no","No","No",0]
["Portugal",2.5,null,{"$f":"B129","v":2.5},2.5,null,"x","Yes",2,"Yes","Yes","No","Yes",0.5,"no","No","No",0]
["Romania",1,null,{"$f":"B130","v":1},1,null,"x","No",0,"No","Yes ","Yes ","No",1,"no","No","No",0]
["Russian Federation",1,null,{"$f":"B131","v":1},1,null,"x","NO",0,"Yes","Yes","No ","No",1,"no","No","No",0]
["Rwanda",0.75,{"$f":"B132","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes ","No","No",0.75,"no","No","No",0]
["Samoa",2,null,{"$f":"B133","v":2},{"$f":"B133/7*9","v":2.5714285714285712},null,"x","Yes",2,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Sao Tome and Principe","N/A",{"$f":"B134","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Senegal",{"$f":"SUM(I135,N135,R135)","v":0.75},{"$f":"B135","v":0.75},null,{"$f":"B135","v":0.75},"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Serbia",{"$f":"SUM(I136,N136,R136)","v":1.5},null,{"$f":"B136","v":1.5},{"$f":"B136","v":1.5},null,"x","NO",0,"No","Yes","No","No",1.5,"no","No","No",0]
["Seychelles",{"$f":"SUM(I137,N137,R137)","v":2},null,{"$f":"B137","v":2},{"$f":"B137/7*9","v":2.5714285714285712},null,"x","Yes",2,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Sierra Leone","N/A",{"$f":"B138","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Singapore",{"$f":"SUM(I139,N139,R139)","v":9},null,{"$f":"B139","v":9},{"$f":"B139","v":9},null,"x","Yes",2,"No","No","No","No",2,"yes","yes","Yes",5]
["Slovak Republic",{"$f":"SUM(I140,N140,R140)","v":4},null,{"$f":"B140","v":4},{"$f":"B140","v":4},null,"x","NO",2,"No","No","No ","No",2,"no","No","No",0]
["Slovenia",{"$f":"SUM(I141,N141,R141)","v":1.5},null,{"$f":"B141","v":1.5},{"$f":"B141","v":1.5},null,"x","No",0,"No","Yes","No","No",1.5,"no","No","No",0]
["Solomon Islands","N/A",{"$f":"B142","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["South Africa",{"$f":"SUM(I143,N143,R143)","v":1},null,{"$f":"B143","v":1},{"$f":"B143","v":1},null,"x","NO",0,"Yes","Yes","No ","No",1,"no","No","No",0]
["South Sudan",1,{"$f":"B144","v":1},null,{"$f":"B144","v":1},"x",null,"NO",0,"NO","NO","NO","NO",1,"no","no","no",0]
["Spain",1,{"$f":"B145","v":1},null,{"$f":"B145","v":1},null,"x","NO",0,"Yes","Yes","No","No",1,"no","No","No",0]
["Sri Lanka",1.5,{"$f":"B146","v":1.5},null,{"$f":"B146","v":1.5},null,"x","NO",0,"No","Yes","No ","No",1.5,"no","No","No",0,"https://data.consilium.europa.eu/doc/document/ST-7525-2019-INIT/en/pdf"]
["St. Lucia",4,null,{"$f":"B147","v":4},{"$f":"B147","v":4},null,"x","Yes",2,"No","No","No","No",2,"no","No","No",0,"https://data.consilium.europa.eu/doc/document/ST-7564-2019-INIT/en/pdf"]
["St. Vincent and the Grenadines",5,{"$f":"B148","v":5},null,{"$f":"B148/7*9","v":6.4285714285714288},null,"x","YES",2,"N/A","N/A","N/A","N/A","N/A","no","yes","yes",3]
["Sweden",1,null,{"$f":"B149","v":1},{"$f":"B149","v":1},null,"x","No",0,"Yes","Yes","No","No",1,"no","No","No",0]
["Switzerland",5.5,null,{"$f":"B150","v":5.5},5.5,null,"x","Yes",2,"No","Yes","No","No",1.5,"yes","No","No",2]
["Tajikistan",0.5,null,{"$f":"B151","v":0.5},0.5,"x",null,"NO",0,"Yes","Yes","No","No",0.5,"no","No","No",0]
["Tanzania",0.75,{"$f":"B152","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Thailand",2,null,{"$f":"B153","v":2},2,null,"x","NO",0,"No","No","No","No",2,"no","No","No",0,"https://data.consilium.europa.eu/doc/document/ST-9652-2019-INIT/en/pdf"]
["Timor-Leste",0.75,{"$f":"B154","v":0.75},null,0.75,"x",null,"No",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Togo","N/A",{"$f":"B155","v":"N/A"},null,0,"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Tonga","N/A",null,{"$f":"B156","v":"N/A"},0,null,"x","NO",0,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Trinidad and Tobago",{"$f":"SUM(I157,N157,R157)","v":4},null,{"$f":"B157","v":4},{"$f":"B157","v":4},null,"x","Yes",2,"No","No","No","No",2,"no","No","No",0]
["Tunisia",1.5,{"$f":"B158","v":1.5},null,1.5,"x",null,"Yes",1,"Yes","Yes","No","No",0.5,"no","No","No",0,"https://data.consilium.europa.eu/doc/document/ST-7550-2019-INIT/en/pdf"]
["Turkey",3,{"$f":"B159","v":3},null,3,null,"x","Yes",2,"Yes","Yes","No","No",1,"no","No","No",0]
["Uganda",0.75,{"$f":"B160","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Ukraine",0.75,{"$f":"B161","v":0.75},null,0.75,"x",null,"No",0,"No","Yes","No","No",0.75,"no","No","No",0]
["United Kingdom",2,null,{"$f":"B162","v":2},2,null,"x","Yes",2,"Yes","Yes","Yes ","Yes",0,"no","No","No",0]
["United States",2.5,null,{"$f":"B163","v":2.5},2.5,null,"x","Yes",2,"Yes","Yes ","No","Yes",0.5,"no","No","No",0]
["Uruguay",3.5,null,{"$f":"B164","v":3.5},3.5,null,"x","NO",2,"No","Yes","No","No",1.5,"no","No","No",0]
["Uzbekistan",0.75,{"$f":"B165","v":0.75},null,0.75,"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Vanuatu",2,2,null,{"$f":"B166/5*7","v":2.8000000000000003},"x",null,"YES",2,"N/A","N/A","N/A","N/A","N/A","no","No","No",0]
["Vietnam",0.75,0.75,null,{"$f":"B167","v":0.75},"x",null,"NO",0,"No","Yes","No","No",0.75,"no","No","No",0]
["Yemen, Rep.",0,0,null,{"$f":"B168","v":0},"x",null,"NO",0,"N/A","N/A","N/A","N/A","N/A","NO","NO","NO",0]
["Zambia",0.75,0.75,null,{"$f":"B169","v":0.75},"x",null,"NO",0,"NO","YES","NO","NO",0.75,"No","No","No",0]
["Zimbabwe",0.75,0.75,null,{"$f":"B170","v":0.75},"x",null,"No",0,"No","Yes","No","No",0.75,"no","No","No",0]

{"sheet":"T2","index":10,"n_rows":174,"n_cols":21,"rows_kept":174,"cut":false,"hidden":false,"merged":[[172,1,172,9],[173,1,173,9],[0,0,0,20],[1,3,1,8],[1,9,1,11],[1,12,1,18]]}
["INDICATOR T2: Tax Policies implementation in practice"]
[null,null,null,"VAT PRODUCTIVITY",null,null,null,null,null,"CIT PRODUCTIVITY",null,null,"PIT PRODUCTIVITY"]
["Country Name","Region","Inc. Group Code","VATRate (nominal) - see T1A_VAT","VAT revenue as % of GDP - see T3","Private consumption as % GDP (WDI)","Year ","VAT \n'Productivity' ","VAT\n'productivity'\n (hhconsp)","CITRATE - see T1A_CIT","CIT revenue as % of GDP - see T3","CIT productivity","PITMINRATE - See T1","PITMAXRATE - See T1","Max Threshold - as ratio of GDP per capita\nTHRESHOLD - see T1","Min Threshold - as ratio of GDP per caita\nTHRESHOLD - See T1","AVERAGE RATE weighted by income","PIT revenue as % of GDP - See T3","PIT 'productivity'","TAX Productivity (Average across VAT/CIT/PIT)","CRII-2\nT2 Tax collection\n"]
[1,{"$f":"A4+1","v":2},{"$f":"B4+1","v":3},{"$f":"C4+1","v":4},{"$f":"D4+1","v":5},{"$f":"E4+1","v":6},{"$f":"F4+1","v":7},{"$f":"G4+1","v":8},{"$f":"H4+1","v":9},{"$f":"I4+1","v":10},{"$f":"J4+1","v":11},{"$f":"K4+1","v":12},{"$f":"L4+1","v":13},{"$f":"M4+1","v":14},{"$f":"N4+1","v":15},{"$f":"O4+1","v":16},{"$f":"P4+1","v":17},{"$f":"Q4+1","v":18},{"$f":"R4+1","v":19},{"$f":"S4+1","v":20},{"$f":"T4+1","v":21}]
["Afghanistan","SA","LIC",{"$f":"VLOOKUP(A5,T1_VAT,4,FALSE)","v":2},{"$f":"VLOOKUP(A5,T_3,5,FALSE)","v":2.2425751217260332},{"$f":"VLOOKUP(A5,T_Source_WBWDI,12,FALSE)","v":80.272866796106015},2017,{"$f":"E5/D5","v":1.1212875608630166},{"$f":"E5/(F5*(D5/100))","v":1.3968450431838939},{"$f":"VLOOKUP(A5,T1_CIT,4,FALSE)","v":20},{"$f":"VLOOKUP(A5,T_3,6,FALSE)","v":1.0626714392609997},{"$f":"K5/J5*2","v":0.10626714392609997},{"$f":"VLOOKUP(A5,T1_PIT,53,FALSE)","v":2},{"$f":"VLOOKUP(A5,T1_PIT,55,FALSE)","v":20},{"$f":"VLOOKUP(A5,T1_PIT,59,FALSE)","v":29.159925155220105},{"$f":"VLOOKUP(A5,T1_PIT,58,FALSE)","v":1.4579962577610053},{"$f":"(N5)*(O5/(O5+P5))+(M5)*(P5/(O5+P5))","v":19.142857142857142},{"$f":"VLOOKUP(A5,T_3,7,FALSE)","v":0.80889915525837286},{"$f":"R5/Q5*2","v":8.451185204191955E-2},{"$f":"(I5+L5+S5)/3","v":0.5292080130506378},2.1590038759443556E-2]
["Albania","ECA","UMIC",20,8.4,{"$f":"VLOOKUP(A6,T_Source_WBWDI,13,FALSE)","v":79.641495680878776},2018,{"$f":"E6/D6","v":0.42000000000000004},{"$f":"E6/(F6*(D6/100))","v":0.5273632751485835},15,2,{"$f":"K6/J6*2","v":0.26666666666666666},13,23,3.0289339215751863,0.6057867843150373,21.333333333333336,2.4,0.22499999999999998,{"$f":"(I6+L6+S6)/3","v":0.33967664727175001},0.18858070267488955]
["Algeria","MENA","UMIC",19,2.4608154462611207,{"$f":"VLOOKUP(A7,T_Source_WBWDI,13,FALSE)","v":42.293586585781206},2018,0.12951660243479582,{"$f":"E7/(F7*(D7/100))","v":0.30623225148358157},23,19.461551692986614,1.6923088428684012,20,35,3.0572089069887736,0.25476740891573113,33.846153846153847,0.92436657439230774,5.4621661214090914E-2,{"$f":"(I7+L7+S7)/3","v":0.68438758518869125},0.23271861751960476]
["Angola","SSA","LMIC",14,0.88963336508875912,{"$f":"VLOOKUP(A8,T_Source_WBWDI,12,FALSE)","v":57.182495247897904},2017,6.3545240363482788E-2,{"$f":"E8/(F8*(D8/100))","v":0.11112708546208254},30,15.777451080783852,1.0518300720522569,0,17,2.6419156590173802,0.39571301936151626,14.785403667990169,0.92587057642705506,0.12524116313868783,{"$f":"(I8+L8+S8)/3","v":0.42939944021767573},0.11229369519182074]
["Antigua and Barbuda","LAC","HIC",15,6.2586937253181221,{"$f":"VLOOKUP(A9,T_Source_HC_exp,5,FALSE)","v":64.350637336024221},{"$f":"VLOOKUP(A9,T_Source_HC_exp,2,FALSE)","v":2017},0.41724624835454149,{"$f":"E9/(F9*(D9/100))","v":0.64839489650394233},25,1.9504168494953928,0.15603334795963142,8,25,3.8041044118673577,0.85899131880875823,21.868421052631579,0,0,{"$f":"(I9+L9+S9)/3","v":0.2681427481545246},0.10678082107519911]
["Argentina","LAC","UMIC",21,7.2485340000000003,{"$f":"VLOOKUP(A10,T_Source_WBWDI,13,FALSE)","v":65.094859889255829},2018,0.34516828571428571,{"$f":"E10/(F10*(D10/100))","v":0.53025428782166739},30,2.813955,0.18759699999999999,5,35,1.1024499133278569,6.8903126100046341E-2,33.235293960554394,2.2173370000000001,0.13343266965724246,{"$f":"(I10+L10+S10)/3","v":0.28376131915963659},0.14792532659971031]
["Armenia","ECA","UMIC",20,7.7,79.92397275889806,2018,0.38500000000000001,0.48170778642524043,20,3,0.3,23,36,0.90789412347003007,0.1,34.710181982682577,5.7,0.32843388737309498,0.37004722459944511,0.11346382932557948]
["Australia","EAP","HIC",10,3.4670000000000001,56.413551149263739,2018,0.34670000000000001,0.61456865050503884,27.5,5.2779999999999996,0.38385454545454545,19,45,2.3205493410671227,0.23463332226345351,42.612512613521702,11.502000000000001,0.53984143598001366,0.51275487731319924,0.25262942989279608]
["Austria","ECA","HIC",20,7.5949999999999998,51.762965906629702,2018,0.37974999999999998,0.73363261426131354,25,2.7,0.21600000000000003,25,55,22.451563950125468,0.24696720345138015,54.673590504451042,9.3650000000000002,0.3425785617367707,0.43073705866602813,0.31015890703273696]
["Azerbaijan","ECA","UMIC",18,9.6,53.184196939240969,2018,0.53333333333333333,1.0028041486508246,20,6.6,0.65999999999999992,14,25,0.31359983381717604,0.1,22.340424463308096,3,{"$f":"R14/Q14*2","v":0.26857144141797296},0.64379186335626581,0.31112028536309405]
["Bahamas, The","LAC","HIC",7.5,7.6,68.958106966075121,2018,1.0133333333333332,1.469491228684477,0,0,0,0,0,0,0,0,0,0,0.48983040956149232]
["Bahrain","MENA","HIC",5,0,45.333579471512209,2018,0,0,0,0.12789388000965099,0,0,0,0,0,0,0,0,0,0]
["Bangladesh","SA","LMIC",15,4.1320854183284528,70.808507325528396,2018,{"$f":"E17/D17","v":0.27547236122189683},{"$f":"E17/(F17*(D17/100))","v":0.38903850910945775},35,2.2504422995713624,{"$f":"K17/J17*2","v":0.12859670283264929},10,30,28.82930737619375,1.517331967168092,{"$f":"(N17)*(O17/(O17+P17))+(M17)*(P17/(O17+P17))","v":29},1.5019519536688488,{"$f":"R17/Q17*2","v":0.10358289335647233},0.20707270176619311,8.6206870669508218E-2]
["Barbados","LAC","HIC",17.5,9.8748129999999996,66.431734693877559,2018,0.56427502857142853,0.84940583167314609,5.5,2.7907920000000002,1.0148334545454547,16,40,1.3835557044015527,0.69177785220077637,31.999999999999996,4.9233650000000004,0.30771031250000008,0.72398319957286705,0.2815050714562472]
["Belarus","ECA","UMIC",20,8.8000000000000007,53.900893571761721,2018,0.44000000000000006,0.81631299750940067,18,3,0.33333333333333331,13,13,9.5302930110246001E-2,9.5302930110246001E-2,13,4.2,0.64615384615384619,0.59860005899886015,0.38688940754742368]
["Belgium","ECA","HIC",21,6.8929999999999998,51.596234002972473,2018,0.32823809523809522,0.63616676988321541,29.58,4.3890000000000002,0.29675456389452337,25,50,1.2266151319260123,0.54966478651974326,42.263820853743873,12.113,0.57320894113751142,0.50204342497175014,0.2976135902476032]
["Belize","LAC","UMIC",12.5,7.9967725637181406,68.452973976090064,2018,0.63974180509745127,0.93457123619041982,25,4.4538634932533734,0.35630907946026985,25,25,2.9440545376966387,2.2943321569635873,25,2.453137781109445,0.19625102248875559,0.49571044604648168,0]
["Benin","SSA","LIC",18,6.1247146815340425,70.390368266946865,2018,0.34026192675189126,0.48339273558207496,30,1.7249535394492315,0.11499690262994876,10,30,8.3029086497680069,0.91472722412698371,28.015267175572518,1.5391113363743876,0.10987661311446582,0.23608875044216318,0.1712191760948924]
["Bhutan","SA","LMIC",20,2.2526627495112197,60.490482638463675,2018,0.11263313747556099,0.18619976657938203,30,5.1454122088711642,0.34302748059141097,10,25,4.3053509915869137,0.86107019831738274,22.500000000000004,1.6459971891903105,0.14631086126136092,0.22517936947738468,7.986286548770706E-2]
["Bolivia","LAC","LMIC",13,9.4613599999999991,{"$f":"VLOOKUP(A24,T_Source_WBWDI,13,FALSE)","v":67.010377680337157},2018,0.72779692307692301,1.0860958380935679,25,3.8893110000000002,0.31114488000000001,0,13,0.16852787919298973,0.16852787919298973,0,0.19372300000000001,0,0.46574690603118934,0.33234496377145922]
["Botswana","SSA","UMIC",12,3.6231808831609973,49.605289134321914,2018,0.30193174026341646,0.60866844147574939,22,4.8553705419851143,0.44139732199864673,5,25,3.4212000051460549,0.42765000064325687,{"$f":"(N25)*(O25/(O25+P25))+(M25)*(P25/(O25+P25))","v":22.777777777777779},2.6719419346620708,{"$f":"R25/Q25*2","v":0.23460953572642571},0.42822509973360728,0.20208712230213324]
["Brazil","LAC","UMIC",24.15,11.346391000000001,64.332518111086415,2018,0.46982985507246383,0.73031472864342628,34,2.8130579999999998,0.16547399999999998,7.5,27.5,1.6330224815347567,0.66654993362728976,{"$f":"(N26)*(O26/(O26+P26))+(M26)*(P26/(O26+P26))","v":21.702835890425142},2.7044269999999999,0.24922337464599631,0.38167070109647422,0.24339060333200738]
["Bulgaria","ECA","UMIC",20,9.4,60.671964775636475,2018,0.47000000000000003,0.77465762273901806,10,2.2999999999999998,0.45999999999999996,10,10,0,0,10,3.4,0.67999999999999994,0.63821920757967265,0.28464166766995924]
["Burkina Faso","SSA","LIC",18,7.1299489999999999,55.03277030981716,2018,0.3961082777777778,0.71976801376309596,27.5,3.0313629999999998,0.22046276363636363,12.1,25,7.1875732091766631,0.86250878510119955,{"$f":"(N28)*(O28/(O28+P28))+(M28)*(P28/(O28+P28))","v":23.617857142857144},1.427667,0.12089725086949947,0.35370934275631966,0.17479546826951381]
["Burundi","SSA","LIC",18,3.905221499344532,77.914690444243533,2018,0.2169567499635851,0.27845422824190175,30,1.473123400319609,9.8208226687973937E-2,20,30,6.1424675110304987,3.0712337555152494,26.666666666666671,1.1509515989478181,8.6321369921086341E-2,0.15432794161698735,9.4564977646156706E-2]
["Cabo Verde","SSA","LMIC",15,8.5313116239828819,61.287011165657745,2018,0.56875410826552542,0,22,2.8653930731816404,0.26049027938014913,16.5,27.5,5.1184170960727142,0.62558431174222062,26.301980198019802,4.1195603759967874,0.31325096779648071,0.19124708239220997,5.5747843774688638E-2]
["Cambodia","EAP","LMIC",10,5.0965746526075595,70.627030996530664,2018,0.50965746526075595,{"$f":"E31/(F31*(D31/100))","v":0.7216181369506971},20,2.4399917998449103,0.24399917998449103,5,20,22.824107867708829,2.1911143553000474,18.686131386861316,0.6914424251067357,7.4005947062205299E-2,0.34654108799913114,0.16596833510539957]
["Cameroon","SSA","LMIC",19.25,5.5788930284933054,70.481795975340248,2018,0.2898126248567951,0.41118791149730777,33,1.8170846374978196,0.11012634166653452,10,35,6.2173127888781128,0.56521025353437393,32.916666666666664,1.2178898984985385,7.3998373579658036E-2,0.19843754224783341,0.10072275941459231]
["Canada","NA","HIC",14,4.4640000000000004,58.03844650837334,2018,0.31885714285714289,0.54938952029176136,26.7,3.6549999999999998,0.2737827715355805,15,53.5,3.4295190639565338,0.1,52.409199828578281,12.026999999999999,0.45896522134809548,0.42737917105847911,0.22250514021768442]
["Central African Republic","SSA","LIC",19,2.6475421602669225,87.992072209365006,2018,0.13934432422457488,0.15836008941012808,30,0.85311230959552264,5.6874153973034844E-2,8,40,19.261865001185942,1.4446398750889458,37.767441860465119,0.86866496852687469,4.6000731091940403E-2,8.7078324825034456E-2,6.2989172000640248E-2]
["Chad","SSA","LIC",18,1.7240776093630086,77.311526090086019,2018,9.5782089409056026E-2,0.12389108617186975,35,0.5077481389102072,2.9014179366297556E-2,10,30,14.909787762570632,1.5903773613408674,28.072289156626503,1.8416340752110512,0.13120654784765431,9.4703937795273863E-2,2.6722191100471304E-2]
["Chile","LAC","HIC",19,8.4770000000000003,63.026075304036802,2018,0.44615789473684214,0.7078941415669362,25,4.6639999999999997,0.37311999999999995,4,35,7.4196890112145502,0.83471501376163693,31.86516853932584,1.413,8.8686177715091685E-2,0.38990010642734257,0.18690113735723871]
["China","EAP","UMIC",{"$f":"VLOOKUP(A37,T1_VAT,4,FALSE)","v":16},{"$f":"VLOOKUP(A37,T_3,5,FALSE)","v":8.1592490496661103},38.676659428951936,2018,0.50995306560413189,1.3185033897276031,{"$f":"VLOOKUP(A37,T1_CIT,4,FALSE)","v":25},{"$f":"VLOOKUP(A37,T_3,6,FALSE)","v":3.9939701003814903},0.31951760803051921,{"$f":"VLOOKUP(A37,T1_PIT,53,FALSE)","v":3},{"$f":"VLOOKUP(A37,T1_PIT,55,FALSE)","v":45},{"$f":"VLOOKUP(A37,T1_PIT,59,FALSE)","v":14.955199939146997},{"$f":"VLOOKUP(A37,T1_PIT,58,FALSE)","v":0.87971764347923509},42.666666666666664,{"$f":"VLOOKUP(A37,T_3,7,FALSE)","v":1.5684715284263466},7.3522102894985009E-2,0.57051436688436918,0.26365399704227954]
["Colombia","LAC","UMIC",19,6.3105120000000001,{"$f":"VLOOKUP(A38,T_Source_WBWDI,13,FALSE)","v":68.49505602160329},2018,0.33213221052631581,0.48489953847407841,33,4.793952,0.29054254545454544,19,39,50.890085830437371,1.7893610824250561,38.320660641944528,1.1857789999999999,{"$f":"R38/Q38*2","v":6.1887189841507345E-2},0.27910975792337706,0.14621146232965984]
["Congo, Dem. Rep.","SSA","LIC",16,1.9375830000000001,71.630706992393627,2018,0.1210989375,0.16906008970825784,30,1.1793020000000001,7.8620133333333342E-2,15,40,51.142179606391039,2.3013980822875966,38.923444976076553,1.133472,5.8241093546404429E-2,0.10197377219599853,9.6384084240118517E-2]
["Congo, Rep.","SSA","LMIC",18,3.6649530000000001,30.672469428302417,2018,0.2036085,0.66381515344220798,30,2.3172229999999998,0.15448153333333331,1,40,2.026599218778562,6.268946916755018E-2,38.829798241076048,2.239519,0.11535053497295425,0.3112157405828318,0.18065158149015539]
["Costa Rica","LAC","UMIC",13,4.4309849999999997,63.494194923145741,2018,0.34084499999999995,0.5368128541712569,30,2.572829,0.17152193333333335,10,15,2.0034130977085458,1.3350517640276296,13.000500500500502,1.361354,0.20943101382098167,0.30592193377519061,0.13747899204695732]
["Cote d'Ivoire","SSA","LMIC",18,3.5470807506477726,65.878547601396519,2018,0.19706004170265404,0.29912626929024266,25,1.6666091670469392,0.13332873336375514,10,60,7.5923409586051429,0.30369363834420571,58.07692307692308,1.4959458430982826,5.1516015788815026E-2,0.16132367281427096,9.9420155417435013E-2]
["Croatia","ECA","HIC",25,13.3,58.209393814094767,2018,0.53200000000000003,0.91394183162096776,18,2.0299999999999998,0.22555555555555554,24,42.48,4.1099774434588552,0.46206846997466416,40.612340425531912,3.7699999999999996,0.18565785475539348,0.4417184139773056,0.2901252996165295]
["Cuba","LAC","UMIC",10,18.656437,55.974125951031262,2018,1.8656437000000001,3.3330465966224305,15,6.2579969999999996,0.83439959999999991,15,50,5.6677654139547933,0.1,49.393179203937116,2.6215860000000002,0.10615174168789016,1.4245326461034402,0.6544727745332839]
["Cyprus","ECA","HIC",19,10.407442527406447,{"$f":"VLOOKUP(A45,T_Source_WBWDI,13,FALSE)","v":65.178799016662651},2018,0.54776013302139193,0.84039617373336328,12.5,3.8623433091262314,0.61797492946019705,20,35,2.4309489950841754,0.79005842340235699,31.320754716981135,3.9608678014709282,0.25292288370838456,0.57043132896731497,0.26304097799980708]
["Czech Republic","ECA","HIC",21,7.6669999999999998,47.479553320129462,2018,0.36509523809523808,0.7689525544471626,19,3.4660000000000002,0.36484210526315791,15,22,2.9790981516563959,4.7147719914437287E-2,21.890942754354011,4.3129999999999997,0.39404424454421116,0.50927963475151061,0.26778805737337136]
["Denmark","ECA","HIC",25,9.6609999999999996,46.650033008354669,2018,0.38644000000000001,0.82838097870325511,22,2.9049999999999998,0.2640909090909091,8,56,1.5268919154734391,0.11674161743828061,52.590725654574221,24.41,0.92830055855587434,0.67359081545001287,0.43451922095794526]
["Djibouti","MENA","LMIC",10,5.5,60.632560994352083,2018,0.55000000000000004,0.90710336324278373,25,6.3,0.504,2,30,1.245624201230306,9.5817246248485075E-2,28,2,0.14285714285714285,0.51798683536664214,0.20525571428571429]
["Dominican Republic","LAC","UMIC",18,4.6947660000000004,68.297575873735852,2018,0.26082033333333338,0.38188812706254932,27,2.2912080000000001,0.16971911111111113,15,25,1.975967413659157,0.94846654616843773,21.756751702389771,1.1927859999999999,0.10964743416812389,0.22041822411392809,9.2375502587975333E-2]
["Ecuador","LAC","UMIC",12,6.5359160000000003,59.693536207078544,2018,0.54465966666666665,0.91242653941161589,25,1.0297651770682148,8.2381214165457184E-2,5,35,18.448194640374616,1.8097760550146318,32.31990521327014,0.17258634252539912,1.067987925005036E-2,0.3351625442757078,0.17026306795831533]
["Egypt, Arab Rep.","MENA","LMIC",14,6.6,85.44643259566412,2018,0.47142857142857142,0.55172411194670923,22.5,3.2,0.28444444444444444,10,22.5,3.8570575946088246,0.27949692714556701,21.655405405405403,1.6,0.14776911076443061,0.32797922238519472,0.17235185940673256]
["El Salvador","LAC","LMIC",13,7.679767,83.141382354069933,2018,0.59075130769230766,0.7105382313424925,30,3.240418,0.21602786666666668,10,30,6.1020442991359332,1.413165190627601,26.239186166260641,3.0574340000000002,0.2330433558897011,0.38653648463295348,0.11184384433959224]
["Estonia","ECA","HIC",20,9.0820000000000007,49.662315282609896,2018,0.45410000000000006,0.91437541205214579,20,2.0190000000000001,0.20190000000000002,20,20,0.28645769800397708,0.28645769800397708,20,5.5,0.55000000000000004,0.5554251373507153,0.28846677615478827]
["Eswatini","SSA","LMIC",15,4.4448050677861541,{"$f":"VLOOKUP(A54,T_Source_WBWDI,13,FALSE)","v":66.493135530567699},2018,0.2963203378524103,0.44564049429762298,27.5,2.1250981808332958,0.15455259496969423,20,33,3.4930090912691902,0.1375728844784215,32.507393715341955,4.9520019861869731,0.30466927183091042,0.30162078703274253,0.1549216755599809]
["Ethiopia","SSA","LIC",15,3.1236446873259083,{"$f":"VLOOKUP(A55,T_Source_WBWDI,13,FALSE)","v":65.455806078261944},2018,0.20824297915506054,0.318142868649537,30,2.1832007549200552,0.14554671699467034,10,35,4.7410942097465876,0.2609776629218305,33.695652173913039,1.3911675869465532,8.2572527741343812E-2,0.18208737112851706,0.10386455998423008]
["Fiji","EAP","UMIC",9,7.4907795510347253,{"$f":"VLOOKUP(A56,T_Source_HC_exp,5,FALSE)","v":56.834949787618619},{"$f":"VLOOKUP(A56,T_Source_HC_exp,2,FALSE)","v":2017},0.83230883900385833,1.4644313791320975,20,4.3162197474570325,0.43162197474570324,18,39,73.185183103473307,2.1955554931041994,38.388349514563103,1.394479130129779,7.2651163582886827E-2,0.65623483915356251,0.35006608858687388]
["Finland","ECA","HIC",24,9.2050000000000001,{"$f":"VLOOKUP(A57,T_Source_WBWDI,13,FALSE)","v":52.761960819439288},2018,0.38354166666666667,0.72692837929055321,20,2.5579999999999998,0.25579999999999997,25.75,50.75,1.7538693503771636,0.40562550021863442,46.054162219850589,12.308999999999999,0.53454451917896306,0.5057576328231721,0.3350967303143581]
["France","ECA","HIC",20,6.6710722026263198,53.907882826411225,2018,0.33355361013131601,0.61874737541704605,28,1.16242403637754,8.303028831268143E-2,14,45,4.2019368378249613,0.26796612127241953,43.141581632653065,{"$f":"VLOOKUP(A58,T_3,7,FALSE)+5.31","v":8.6260511665462598},0.39989498947889113,0.36722421773620617,0.23972812983617597]
["Gambia, The","SSA","LIC",15,3.9130033528824693,90.340482771130127,2018,0.26086689019216464,0.28875968136350183,27,1.4369646882043576,0.10644182875587835,5,25,1.6856699616246698,0.63212623560925119,19.545454545454543,1.1164044540632674,{"$f":"R59/Q59*2","v":0.11423673483438086},0.16981274831792037,0.11214935897422573]
["Georgia","ECA","UMIC",18,11.6,69.307590029439922,2018,0.64444444444444438,0.92983242408328226,15,1.9,0.2533333333333333,20,20,0,0.1,20,7.7,0.77,0.65105525247220519,0.42160349520627255]
["Germany","ECA","HIC",19,6.9539999999999997,52.137921342435199,2018,0.36599999999999999,0.70198425747769799,29.824999999999999,2.1389999999999998,0.14343671416596815,14,45,6.3972784287869713,0.22114888594891999,43.964162460596569,10.372999999999999,0.47188434485915343,0.43910177216760654,0.25877874838531834]
["Ghana","SSA","LMIC",17.5,2.6723237375812947,71.994598333083715,2018,0.15270421357607397,0.21210509831527422,25,3.2972047858536682,0.26377638286829347,5,30,20.807905061852367,0.29963383289067408,29.645110410094635,2.1842667180131223,0.14736101082418937,0.20774749733591902,0.14868033488852583]
["Greece","ECA","HIC",24,8.125,68.004651852199871,2018,0.33854166666666669,0.49782133640276144,28,1.948,0.13914285714285715,22,45,2.2554362780610107,0.107133223207898,43.957040572792359,6.1859999999999999,0.28145661852535564,0.30614027069032473,0.17213425412168595]
["Guatemala","LAC","UMIC",12,4.7128199999999998,87.797897416061204,2018,0.392735,0.44731709022470906,25,2.4917739999999999,0.19934192000000001,5,7,8.3406385743023979,1.3345021718883838,6.724137931034484,0.44410699999999997,0.13209336410256406,0.25958412477575771,0.11396573212264734]
["Guinea","SSA","LIC",18,4.3654383266544627,79.792152536901554,2018,0.24252435148080348,0.3039451171199361,35,1.9954824609157591,0.11402756919518624,5,20,2.1700505883625389,0.10850252941812695,19.285714285714285,1.1523169770555126,0.11949953836131243,0.17915740822547824,6.997371081720101E-2]
["Guinea-Bissau","SSA","LIC",17,2.9899999999999998,86.537457360554242,2018,0.17588235294117646,0.20324418847710177,25,0.45999999999999996,3.6799999999999999E-2,4,20,21.876514757227433,0.1,19.927195007139439,0.69,6.9252094913788864E-2,0.10309876113029688,5.196027426985067E-2]
["Guyana","LAC","UMIC",14,6.3742130115732722,56.360661964121469,2018,0.45530092939809086,0.80783460224070824,40,6.1393406812569289,0.30696703406284642,28,40,1.2333793662421138,0.71793724303645423,35.584905660377359,4.2635007244294014,0.23962411282583063,0.45147524970979508,0.21438283561641688]
["Haiti","LAC","LIC",10,3.8403005377739468,100.14559178063509,2018,0.38403005377739469,0.38347175042771442,30,1.2860005298397974,8.5733368655986492E-2,10,30,15.125980433909017,0.90755882603454108,28.867924528301884,2.103667056202017,0.14574425356693713,0.20498312421687934,0.11739027081457581]
["Honduras","LAC","LMIC",{"$f":"VLOOKUP(A69,T1_VAT,4,FALSE)","v":15},{"$f":"VLOOKUP(A69,T_3,5,FALSE)","v":7.2685560000000002},{"$f":"VLOOKUP(A69,T_Source_WBWDI,13,FALSE)","v":79.365858962752284},2018,0.48457040000000001,0.61055270658308758,{"$f":"VLOOKUP(A69,T1_CIT,4,FALSE)","v":25},{"$f":"VLOOKUP(A69,T_3,6,FALSE)","v":4.0182859999999998},0.32146288000000001,{"$f":"VLOOKUP(A69,T1_PIT,53,FALSE)","v":15},{"$f":"VLOOKUP(A69,T1_PIT,55,FALSE)","v":25},{"$f":"VLOOKUP(A69,T1_PIT,59,FALSE)","v":8.8547229540445187},{"$f":"VLOOKUP(A69,T1_PIT,58,FALSE)","v":2.4970317379767795},22.800312105289024,{"$f":"VLOOKUP(A69,T_3,7,FALSE)","v":2.106452},0.18477396188900092,0.37226318282402948,0.19511763020366471]
["Hong Kong SAR, China","EAP","HIC",0,0,68.332252857398629,2018,0,0,{"$f":"VLOOKUP(A70,T1_CIT,4,FALSE)","v":8.25},{"$f":"VLOOKUP(A70,T_3,6,FALSE)","v":5.7030439397969435},{"$f":"K70/J70*2","v":1.3825561066174408},{"$f":"VLOOKUP(A70,T1_PIT,53,FALSE)","v":2},{"$f":"VLOOKUP(A70,T1_PIT,55,FALSE)","v":17},{"$f":"VLOOKUP(A70,T1_PIT,59,FALSE)","v":0.51761887419047847},{"$f":"VLOOKUP(A70,T1_PIT,58,FALSE)","v":0.12940407152726199},{"$f":"(N70)*(O70/(O70+P70))+(M70)*(P70/(O70+P70))","v":14.000011999952001},{"$f":"VLOOKUP(A70,T_3,7,FALSE)","v":2.0573405809231469},{"$f":"R70/Q70*2","v":0.29390554535670405},0.55882055065804825]
["Hungary","ECA","HIC",27,11.427,48.700248383770919,2018,0.42322222222222222,0.86903503835774798,9,1.1659999999999999,0.25911111111111107,15,15,0,0,15,5.1749999999999998,0.69,0.60604871648961967,0.38819368405516019]
["Iceland","ECA","HIC",24,8.3439999999999994,50.744331321858503,2018,0.34766666666666662,0.6851339994244966,20,2.5379999999999998,0.25379999999999997,36.94,46.24,1.4367062015316028,8.2455466672076802E-2,{"$f":"(N72)*(O72/(O72+P72))+(M72)*(P72/(O72+P72))","v":45.735224335829216},14.512,0.63460932840035178,0.52451444260828273,0.28083963752619567]
["India","SA","LMIC",18,7.2021108536693648,59.389434418662688,2018,0.40011726964829802,0.67371793243170575,27.84,2.9715061699162639,0.21347027082731782,5.2,42.74,323.41415228765186,1.6170707614382593,42.553233830845777,2.5064950114799425,0.11780514832050422,0.33499778385984258,0.20761187367820522]
["Indonesia","EAP","LMIC",10,3.5376539999999999,56.954451527797985,2018,0.35376540000000001,0.6211374010464068,25,2.5896699999999999,0.20717359999999999,5,30,9.2012375956746997,0.89687153459645086,27.779605263157894,2.1700849999999998,0.15623584132622853,0.32818228079087847,0.1641933577756943]
["Ireland","ECA","HIC",23,4.3620000000000001,31.022583998263681,2018,0.18965217391304348,0.61133583818697446,12.5,3.21,0.51359999999999995,0.5,48,1.4440895738725608,0.17346403961357201,42.906170767417777,6.6840000000000002,0.31156357607543561,{"$f":"(I75+L75+S75)/3","v":0.47883313808746997},0.20298890760943306]
["Israel",null,"HIC",17,8.91,{"$f":"VLOOKUP(A76,T_Source_WBWDI,13,FALSE)","v":54.747435647899479},2018,0.52411764705882358,0.95733734531351078,23,3.0910000000000002,0.26878260869565218,10,50,4.2461001842420849,1.703190255694367E-2,49.840193527104788,6.18,0.24799261650696064,0.49137085683870785,0.34223156331375099]
["Italy","ECA","HIC",22,6.19,61,2018,0.28136363636363637,0.46125186289120718,27.9,1.86,0.13333333333333336,24.78,45.42,2.5673677292145909,0.27385255778288969,43.430602409638553,10.7,0.49274011440492238,0.36244177020982099,0.27480411477218625]
["Jamaica","LAC","UMIC",16.5,8.8605929999999997,76.301174030591454,2018,0.5370056363636363,0.70379734412518269,25,3.2362310000000001,0.25889847999999999,25,30,10.283033952618887,2.0567120874436515,29.166631111869613,3.1785070000000002,{"$f":"R78/Q78*2","v":0.21795503140617972},0.39355028517712082,0.22518225377061385]
["Japan","EAP","HIC",8,4.0640000000000001,55.585534037478503,2018,0.50800000000000001,0.91390684428340907,34,3.714,0.21847058823529411,15,55,9.0505248898406947,0.44121308837973383,53.14064362336115,5.9039999999999999,0.222202803633509,0.45152674538407078,0.25078180611059375]
["Jordan","MENA","UMIC",16,11.528034995849032,85.218158084485779,2018,0.72050218724056447,0.84547965297050232,35,2.6174021329586816,0.14956583616906752,5,30,324.74871362533065,3.2153337982706005,29.754901960784316,1.1759339676863145,7.9041360595719326E-2,0.35802894991176304,0.16650567636659577]
["Kazakhstan","ECA","UMIC",12,3.134951,49.615830021009344,2018,0.26124591666666669,0.52653743080795912,20,4.4795429999999996,0.44795429999999997,10,10,0.14524760007084242,0.14524760007084242,10,1.4127940000000001,0.2825588,{"$f":"(I81+L81+S81)/3","v":0.41901684360265296},0.19279580301746663]
["Kenya","SSA","LMIC",16,5,81.763437913204257,2018,{"$f":"E82/D82","v":0.3125},0.38220017158737069,30,4.2,{"$f":"K82/J82*2","v":0.28000000000000003},10,30,2.8514817983137002,0.80638976669637319,25.59093449638846,4.8,0.37513284250541173,{"$f":"(I82+L82+S82)/3","v":0.3457776713642608},0.18019544178715272]
["Kiribati","EAP","LMIC",12.5,6.7214448669201525,{"$f":"VLOOKUP(A83,T_Source_HC_exp,5,FALSE)","v":108.30448966942147},{"$f":"VLOOKUP(A83,T_Source_HC_exp,2,FALSE)","v":2017},0.53771558935361219,0.49648504045851205,30,4.2953612167300381,0.28635741444866919,20,30,13.363737320597396,2.2272895534328994,28.571428571428573,3.8180988593155893,0.26726692015209125,{"$f":"(I83+L83+S83)/3","v":0.35003645835309083},0.15833328504002819]
["Korea, Rep.","EAP","HIC",10,4.3470000000000004,{"$f":"VLOOKUP(A84,T_Source_WBWDI,13,FALSE)","v":48.648265141135546},2018,0.43470000000000003,0.893557044097818,27.5,4.4720000000000004,0.32523636363636366,6.6,46.2,13.58694004899521,4.0638903436675602E-2,46.081908548707752,4.2220000000000004,0.18323893835852836,{"$f":"(I84+L84+S84)/3","v":0.46734411536423676},0.17358485063971499]
["Kyrgyz Republic","ECA","LMIC",12,10.3,{"$f":"VLOOKUP(A85,T_Source_WBWDI,13,FALSE)","v":82.698402640899076},2018,0.85833333333333339,1.0379079957087811,10,1.9,0.38,10,10,8.5096394249761717E-2,8.5096394249761717E-2,10,2.1,0.42000000000000004,0.61263599856959372,0.35168997032748528]
["Lao PDR","EAP","LMIC",10,3.8799565183411606,{"$f":"VLOOKUP(A86,T_Source_WBWDI,11,FALSE)","v":65.69453142412921},2016,0.38799565183411605,0.59060570708570048,24,1.4628878357927941,0.12190731964939951,5,24,1.7455555571111852,4.3638888927779625E-2,23.536585365853657,0.88597432308577684,7.5284864759620415E-2,0.26259929716490676,0.1832682815486085]
["Latvia","ECA","HIC",21,8.3000000000000007,{"$f":"VLOOKUP(A87,T_Source_WBWDI,13,FALSE)","v":58.898450586480131},2018,0.39523809523809528,0.67105007228971214,20,1,0.1,20,31.4,3.8813088341988302,0.1,31.11366200225223,5.9,0.37925461808853717,0.38343489679274972,0.19733962538411753]
["Lebanon","MENA","UMIC",11,4.350407484991762,83.100537886995326,2018,0.39549158954470565,0.4759194099110608,17,1.5375177129344875,0.18088443681582206,2,25,15.974311354971178,0.92754065932090712,23.737804878048777,0.98551796502092293,8.3033622534513934E-2,0.24661248975379893,0.12603470562770092]
["Lesotho","SSA","LMIC",15,7.5780480664306813,80.63510235758315,2018,0.50520320442871214,0.62653012107350714,25,2.7141830569824075,0.2171346445585926,20,30,3.4323813589648613,0.36463401618502916,29.039682539682541,5.6686982673728474,0.39041048466191786,{"$f":"(H89+L89+S89)/3","v":0.3709161112164075},0.18632636880792902]
["Liberia","SSA","LIC",10,1.2975481067659838,132.99632352941174,2018,0.12975481067659839,9.7562704917856985E-2,25,4.6228119180633147,0.36982495344506516,5,25,6.0783132000098892,0.53185240500086528,23.390804597701148,0.36421477343265052,3.1141705443381421E-2,{"$f":"(I90+L90+S90)/3","v":0.1661764546021012},0.12645763725003942]
["Lithuania","ECA","HIC",21,7.8019999999999996,61.768013203336501,2018,0.37152380952380948,0.60148253158277243,15,1.5309999999999999,0.20413333333333333,20,27,7.9476674799078664,0.20984863967368067,26.819927971188473,3.8849999999999998,0.28970995031556329,0.36510860507722304,0.19080326347186136]
["Luxembourg","ECA","HIC",17,6.3330000000000002,29.763658091686285,2018,0.37252941176470589,1.2516250879416009,24.94,5.9349999999999996,0.47594226142742574,8,42,1.9936242380944189,0.11228863943787938,40.187097965153427,9.5109999999999992,0.47333599496271506,0.73363444811058054,0.38808506992497466]
["Madagascar","SSA","LIC",20,5.7417160000000003,71.191029988389602,2018,0.2870858,0.4032611974385259,20,1.4781,0.14781,20,20,2.511349734194678,2.511349734194678,20,1.2058329999999999,0.12058329999999999,0.22388483247950861,5.4019041111503588E-2]
["Malawi","SSA","LIC",16.5,5.0809301974289882,{"$f":"VLOOKUP(A94,T_Source_WBWDI,12,FALSE)","v":80.113725092171165},2017,0.30793516348054473,0.38437254431280543,30,2.7998885437399643,0.18665923624933095,15,35,128.89026118827348,1.9333539178241022,34.704433497536947,5.3303656368844692,0.30718643698723841,0.29273940584979158,0.17590390922751714]
["Malaysia","EAP","UMIC",10,3.2760229999999999,{"$f":"VLOOKUP(A95,T_Source_WBWDI,13,FALSE)","v":57.420758939370273},2018,0.32760230000000001,{"$f":"E95/(F95*(D95/100))","v":0.57052938005558307},24,5.6322609999999997,0.46935508333333331,1,28,21.677835693478151,0.30078265580643621,27.630498533724342,2.1387529999999999,0.15481103226491189,0.39823183188460942,0.20231050132783907]
["Maldives","SA","UMIC",6,3.3,{"$f":"VLOOKUP(A96,T_Source_HC_exp,5,FALSE)","v":49.194328629818607},{"$f":"VLOOKUP(A96,T_Source_HC_exp,2,FALSE)","v":2017},0.54999999999999993,1.118015054415487,15,3.2,0.42666666666666669,0,0,0,0,0,0,0,0.51489390702738458,0.13519800000000001]
["Mali","SSA","LIC",18,5.6833772005621794,{"$f":"VLOOKUP(A97,T_Source_WBWDI,13,FALSE)","v":73.593005917461596},2018,0.31574317780900996,0.42903965379961845,30,3.3510822841214276,0.22340548560809517,5,40,6.5144034064224892,0.32572017032112444,{"$f":"(N97)*(O97/(O97+P97))+(M97)*(P97/(O97+P97))","v":38.333333333333336},1.0896704250856803,{"$f":"R97/Q97*2","v":5.6852370004470278E-2},0.23643250313739464,0.11250865056421788]
["Malta","ECA","HIC",18,7.6335877862595423,43.760162951123469,2018,0.42408821034775235,0.96911935821953932,35,6.6839121405327742,0.3819378366018728,15,35,2.1985247312779865,0.33344291757716127,32.366136034732278,6.8827116974235398,0.42530326697247173,0.59212015393129458,0.39479318289132331]
["Mauritania","SSA","LMIC",16,6.2848058556103714,61.482396394697759,2018,0.39280036597564821,0.63888265423812163,25,2.8451718477512622,0.22761374782010096,15,40,5.2383735463222392,1.1640830102938309,35.454545454545453,2.0695013978124521,0.11674110449198448,0.3277458355167357,0.22040897159063397]
["Mauritius","SSA","UMIC",{"$f":"VLOOKUP(A100,T1_VAT,4,FALSE)","v":15},{"$f":"VLOOKUP(A100,T_3,5,FALSE)","v":7.2},75.632616944249307,2018,0.48000000000000004,0.63464682222197866,15,{"$f":"VLOOKUP(A100,T_3,6,FALSE)","v":2.9},0.38666666666666666,10,15,2.3988539655093826,0.7746299263624048,13.779527559055119,{"$f":"VLOOKUP(A100,T_3,7,FALSE)","v":2},0.29028571428571426,0.43719973439145315,0.18720262703092461]
["Mexico","LAC","UMIC",16,3.7229999999999999,64.769305775061611,2018,0.23268749999999999,0.35925581911917387,{"$f":"VLOOKUP(A101,T1_CIT,4,FALSE)","v":30},3.5089999999999999,0.23393333333333333,{"$f":"VLOOKUP(A101,T1_PIT,53,FALSE)","v":1.92},{"$f":"VLOOKUP(A101,T1_PIT,55,FALSE)","v":35},{"$f":"VLOOKUP(A101,T1_PIT,59,FALSE)","v":18.015115797478522},{"$f":"VLOOKUP(A101,T1_PIT,58,FALSE)","v":3.5747023634955521E-2},34.934490026678333,3.44,0.19694004391493816,0.26337639878914848,8.3788025823059664E-2]
["Moldova","ECA","LMIC",20,11,85.339516231796438,2018,0.55000000000000004,0.64448455332944199,12,2.9,0.48333333333333334,12,12,0.41002431546696799,0.41002431546696799,12,2.4,0.39999999999999997,0.50927262888759173,0.25676025781015299]
["Mongolia","EAP","LMIC",10,6.6,50.770028056632057,2018,0.65999999999999992,1.2999795849310833,17.5,4,0.45714285714285713,10,10,0,0,0,2.5,0,0.58570748069131351,0.35365792425327353]
["Morocco","MENA","LMIC",20,7.6628939999999997,58.025590384000303,2018,{"$f":"E104/D104","v":0.3831447},{"$f":"E104/(F104*(D104/100))","v":0.66030297574645003},31,4.8535329999999997,0.31313116129032253,10,38,5.5613091074469638,0.9268848512411606,34.000000000000007,3.7745519999999999,{"$f":"R104/Q104*2","v":0.22203247058823525},0.39848886920833593,0.23136270422709451]
["Mozambique","SSA","LIC",17,8.4549376987368561,65.408990533574524,2018,0.49734927639628568,0.76036837189987749,32,6.8293108648626362,0.42683192905391476,10,32,57.250389060974427,7.4674420514314468,29.46153846153846,3.8629777604938873,0.26223869914579917,0.48314633336653051,0.27499828039106777]
["Myanmar","EAP","LMIC",5,2.4776224028499034,{"$f":"VLOOKUP(A106,T_Source_WBWDI,11,FALSE)","v":51.024961639433329},2016,0.49552448056998066,0.9711413093685255,25,1.720878008579815,0.1376702406863852,5,25,15.226914796146138,1.0151276530764093,23.749999999999996,0.47735299415468757,4.019814687618422E-2,{"$f":"(H106+L106+S106)/3","v":0.2244642893775167},0.12140283360176612]
["Namibia","SSA","UMIC",15,6.8,{"$f":"VLOOKUP(A107,T_Source_WBWDI,13,FALSE)","v":70.119378560617733},2018,0.45333333333333331,0.64651647324773387,32,3.6,0.22500000000000001,18,37,18.41552797318699,0.61385093243956634,36.387096774193544,7,0.38475177304964542,{"$f":"(I107+L107+S107)/3","v":0.41875608209912646},0.25781411377284924]
["Nepal","SA","LIC",13,7.2419023767730391,70.499151345276786,2018,0.55706941359792606,0.79017889289137933,25,3.1965387714006708,0.25572310171205365,1,36,16.427472266402084,0.1,35.788231379633594,1.30569961946345,7.296809979866728E-2,0.37295669813403337,0.17224272646907005]
["Netherlands","ECA","HIC",21,6.798,44.11379788356917,2018,0.32371428571428573,0.73381640494584999,25,3.4889999999999999,0.27911999999999998,9,51.75,1.4692076114077439,0.43715719489884908,41.946802825932885,7.9530000000000003,0.37919457332672779,0.46404365942419262,0.28213990217564611]
["New Zealand","EAP","HIC",15,9.8260000000000005,58.147402825423413,2018,0.65506666666666669,1.1265622105829569,28,5.1059999999999999,0.36471428571428571,10.5,33,1.1565769782526352,0.1,31.209421277852158,12.053000000000001,0.77239496962754906,0.75455715530826384,0.14439005455337528]
["Nicaragua","LAC","LMIC",15,6.1549909999999999,70.939576236379892,2018,0.41033273333333331,0.57842569000701571,30,4.5402013800000001,0.30268009200000001,15,30,7.8617975242161844,1.5723595048432368,27.5,2.3388916200000001,0.17010120872727272,0.35040233024476281,0.181253937387338]
["Niger","SSA","LIC",19,4.4681657475025833,65.905380823857939,2018,0.23516661828960964,0.35682461029718932,30,2.9123283063461001,0.19415522042307334,1,35,4.303492498907139,0.1,34.227885592891596,1.0505110402150979,6.1383344136996101E-2,0.20412105828575292,7.1436081465920453E-2]
["Nigeria","SSA","LMIC",5,1.0140117670153481,76.580693827742351,2018,0.20280235340306962,0.26482177591553996,30,1.2222438654062409,8.1482924360416056E-2,7,24,4.7081511865612091,0.27695006979771819,23.055555555555554,0,0,0.11543490009198533,3.7462017977835743E-2]
["North Macedonia","ECA","UMIC",18,7.5,64.322861452534269,2018,0.41666666666666669,0.64777383539464772,10,2.2000000000000002,0.44000000000000006,10,18,3.5183394806692183,0.28721138617707903,17.39622641509434,2.7,0.31041214750542301,0.46606199430002365]
["Norway","ECA","HIC",25,8.4849999999999994,43.433327857802354,2018,0.33939999999999998,0.78142757357016623,22,5.976,0.54327272727272724,22,38.200000000000003,3.0158747237922339,8.2830362132321922E-2,37.766963673749146,9.8729999999999993,0.52283790062066704,0.61584606715452017,0.34270847842748797]
["Occupied Palestinian Territory","MENA","LMIC",16,1.7155139027102366,89.698889565473195,2018,0.10721961891938979,0.11953282748403238,15,0.23510457797818793,3.1347277063758387E-2,5,15,17.508189314356713,3.3886818027787191,13.378378378378377,1.2173042308563774E-2,{"$f":"R116/Q116*2","v":1.8198083451186249E-3},5.0899970964303133E-2,0]
["Oman","MENA","HIC",0,0,38.32166037506979,2018,0,0,15,1.6403123154648647,0.21870830872864863,0,0,0,0,0,0,0,7.2902769576216206E-2,7.215340010542963E-3]
["Pakistan","SA","LMIC",17,4.6653564069952544,82.504552328603737,2018,{"$f":"E118/D118","v":0.27443272982325029},{"$f":"E118/(F118*(D118/100))","v":0.33262737882659399},25.15,7.8203975999714764E-2,6.2190040556433217E-3,5,35,31.857251309845399,2.1238167539896935,{"$f":"(N118)*(O118/(O118+P118))+(M118)*(P118/(O118+P118))","v":33.124999999999993},4.2230147039845969,{"$f":"R118/Q118*2","v":0.25497447269340967},0.19794028519188234,9.592408023155817E-2]
["Panama","LAC","HIC",7,2.365853,{"$f":"VLOOKUP(A119,T_Source_WBWDI,12,FALSE)","v":50.310251461856851},2017,0.33797899999999997,{"$f":"E119/(F119*(D119/100))","v":0.67178952634780931},25,1.5388919999999999,0.12311135999999999,15,25,3.0777844777726098,0.67711258510997419,23.196721311475407,1.718175,0.14813946996466432,0.31434678543749123,0.15483673337496764]
["Papua New Guinea","EAP","LMIC",10,2.5719381836777968,{"$f":"VLOOKUP(A120,T_Source_HC_exp,5,FALSE)","v":52.410546640826873},{"$f":"VLOOKUP(A120,T_Source_HC_exp,2,FALSE)","v":2017},0.25719381836777966,{"$f":"E120/(F120*(D120/100))","v":0.49072912772756755},30,3.3568657777556035,0.22379105185037357,22,42,26.821403995359251,1.3410701997679626,41.047619047619051,3.6790440672046696,0.17925736754361499,0.29792584904051872,9.1065412210149563E-2]
["Paraguay","LAC","UMIC",10,5.0859579999999998,{"$f":"VLOOKUP(A121,T_Source_WBWDI,13,FALSE)","v":64.703076102018628},2018,0.50859579999999993,{"$f":"E121/(F121*(D121/100))","v":0.78604578118988777},10,2.0667499999999999,0.41335,8,10,7.2267329292024218,2.1680198787607265,9.5384615384615383,0.23871600000000001,5.0053354838709679E-2,0.41648304534286584,0.24922095276081668]
["Peru","LAC","UMIC",18,5.8667540000000002,63.748590315070572,2018,0.32593077777777779,0.51127527082073487,29.5,3.5175399999999999,0.23847728813559321,8,30,9.1546701644436972,1.2323594452135747,27.389830508474578,1.859683,0.13579368440594058,0.29518208112075622,0.15454437619297509]
["Philippines","EAP","LMIC",12,2.2731051962752922,73.82519824257237,2018,0.18942543302294101,0.25658641972153362,30,3.7330460645249799,0.24886973763499867,20,35,46.253509925919396,1.4454221851849811,34.545454545454547,1.9187310775863335,0.11108443080762984,0.20551352938805403,9.8584230814012158E-2]
["Poland","ECA","HIC",23,7.774,58.059834288464394,2018,0.33800000000000002,0.58215805150369748,19,1.9279999999999999,0.20294736842105263,17,32,2.1889981887605292,0.13461335150075127,31.131007813688072,4.9829999999999997,0.32013097872205803,0.36841213288226937,0.19695961332447079]
["Portugal","ECA","HIC",23,8.8529999999999998,64.817979887872056,2018,0.38491304347826089,0.59383683993872982,31.5,3.3740000000000001,0.21422222222222223,14.5,53,12.191136936165401,0.20012970394409124,52.378191606586277,6.6050000000000004,0.25220420168799629,0.35342108794964949,0.18770238450136625]
["Romania","ECA","UMIC",19,6.5,62.441705864797228,2018,{"$f":"E126/D126","v":0.34210526315789475},0.5478794315751766,16,2,0.25,10,10,0.11627579569977908,0.11627579569977908,{"$f":"(N126)*(O126/(O126+P126))+(M126)*(P126/(O126+P126))","v":10},2.4,0.48,0.42595981052505882,0.20422412620511282]
["Russian Federation","ECA","UMIC",20,6.3,49.370209241118658,2018,{"$f":"E127/D127","v":0.315},0.638036590976503,20,3.5,0.35,13,13,0,0,13,3.5,0.53846153846153844,0.50883270981268047,0.278053643435971]
["Rwanda","SSA","LIC",18,4.9281467389359515,77.507288603036571,2018,{"$f":"E128/D128","v":0.27378592994088619},0.35323894678230283,30,1.5648749817977061,0.10432499878651375,20,30,1.6143694616810635,0.48431083850431905,{"$f":"(N128)*(O128/(O128+P128))+(M128)*(P128/(O128+P128))","v":27.692307692307686},4.6712322683134424,0.33736677493374867,0.26497690683418845,0.12710788299730028]
["Samoa","EAP","UMIC",15,9.5532116853932578,{"$f":"VLOOKUP(A129,T_Source_HC_exp,5,FALSE)","v":94.982372855133619},{"$f":"VLOOKUP(A129,T_Source_HC_exp,2,FALSE)","v":2017},{"$f":"E129/D129","v":0.6368807790262172},0.67052523524294638,27,1.5127421123595506,0.11205497128589263,20,27,2.1355939877049583,1.281356392622975,{"$f":"(N129)*(O129/(O129+P129))+(M129)*(P129/(O129+P129))","v":24.375},3.3518065168539328,0.27502002189570729,0.35253340947484874,0.19188085721599987]
["Sao Tome and Principe","SSA","LMIC",{"$f":"VLOOKUP(A130,T1_VAT,4,FALSE)","v":10},{"$f":"VLOOKUP(A130,T_3,5,FALSE)","v":1.9179256402014357},{"$f":"VLOOKUP(A130,T_Source_HC_exp,5,FALSE)","v":81.777668812852582},{"$f":"VLOOKUP(A130,T_Source_HC_exp,2,FALSE)","v":2017},0,0.23452926306698596,25,{"$f":"VLOOKUP(A130,T_3,6,FALSE)","v":1.0500375013393337},8.4003000107146703E-2,10,25,5.7169612521517212,0.27870186104239641,{"$f":"(N130)*(O130/(O130+P130))+(M130)*(P130/(O130+P130))","v":24.302741358760429},{"$f":"VLOOKUP(A130,T_3,7,FALSE)","v":3.0322511518268507},0.24953984466726117,0.18935736928046462,6.0621893903583281E-2]
["Senegal","SSA","LMIC",18,5.6335639999999998,{"$f":"VLOOKUP(A131,T_Source_WBWDI,13,FALSE)","v":71.919712598843546},2018,{"$f":"E131/D131","v":0.31297577777777774},0.43517384381595869,30,1.561304,0.10408693333333334,20,40,16.18757616479413,0.75542022102372608,{"$f":"(N131)*(O131/(O131+P131))+(M131)*(P131/(O131+P131))","v":39.108280254777071},2.4759340000000001,0.12661942605863191,0.22196006773597463,0.17612745039618394]
["Serbia","ECA","UMIC",20,10.1,69.287177288114819,2018,0.505,0.72885058933787039,{"$f":"VLOOKUP(A132,T1_CIT,4,FALSE)","v":15},2.4,0.32,{"$f":"VLOOKUP(A132,T1_PIT,53,FALSE)","v":10},{"$f":"VLOOKUP(A132,T1_PIT,55,FALSE)","v":15},{"$f":"VLOOKUP(A132,T1_PIT,59,FALSE)","v":6.3641291529999187},{"$f":"VLOOKUP(A132,T1_PIT,58,FALSE)","v":3.1820645764999593},{"$f":"(N132)*(O132/(O132+P132))+(M132)*(P132/(O132+P132))","v":13.333333333333332},3.7,0.55500000000000005,0.53461686311262346,0.30457207409245357]
["Seychelles","SSA","HIC",15,11.4,56.824397152388961,2018,0.76,1.3374536960979422,30,5.8,0.38666666666666666,15,30,4.1392371211439594,0.42666558060177279,15,4.2,0.56000000000000005,0.76137345425486969,0.39555106832497655]
["Sierra Leone","SSA","LIC",15,3.0368846304194732,98.964826641724727,2018,0.20245897536129823,0.2045766988449805,30,1.1858139464976234,7.9054263099841565E-2,15,35,4.895975700019231,1.2239939250048077,{"$f":"(N134)*(O134/(O134+P134))+(M134)*(P134/(O134+P134))","v":30.999999999999996},4.6547262782429506,0.30030492117696461,0.19464529437392888,8.9760990147048206E-2]
["Singapore","EAP","HIC",7,2.3345989999999999,34.946073136940136,2018,0.33351414285714281,0.95436801024890539,17,4.219894,0.49645811764705883,2,22,3.6428727462243589,0.22767954663902243,20.823529411764707,2.2844319999999998,0.21940872316384177,0.55674495035326865,0.12797920522690343]
["Slovak Republic","ECA","HIC",20,7.0129999999999999,55.932930767426804,2018,0.35065000000000002,0.62691154421717721,21,3.2050000000000001,0.30523809523809525,19,25,2.0830644259174025,0.22621546104122597,24.412244148527645,3.556,0.29132921810586349,0.407826285853712,0.19837542004789954]
["Slovenia","ECA","HIC",22,8.1980000000000004,52.283211032078,2018,0.37263636363636365,0.71272662156831801,19,1.9279999999999999,0.20294736842105263,16,50,3.1846883103886121,0.2797954793071798,47.254123016901339,5.3090000000000002,0.22469996948630852,0.38012465315855976,0.21776030487566264]
["Solomon Islands","EAP","LMIC",10,7.1176018447348195,{"$f":"VLOOKUP(A138,T_Source_HC_exp,5,FALSE)","v":49.725603598797171},{"$f":"VLOOKUP(A138,T_Source_HC_exp,2,FALSE)","v":2017},0.71176018447348199,1.4313756555198434,30,2.5757963959347507,0.17171975972898337,11,40,4.1103595403974209,0.82557567753320604,35.149511978704524,4.3513536595781019,0.24759112799144337,0.61689551441342338,0.24326088473991467]
["South Africa","SSA","UMIC",15,6.3420293455016177,{"$f":"VLOOKUP(A139,T_Source_WBWDI,13,FALSE)","v":59.931360908381571},2019,0.42280195636677453,{"$f":"E139/(F139*(D139/100))","v":0.70547698226496391},28,4.7704161787108514,0.34074401276506083,18,45,17.230318634079584,0.90746344806152479,43.649145028499056,9.6434910355755186,0.44186391413986076,{"$f":"(I139+L139+S139)/3","v":0.49602830305662854},0.27687075655879384]
["South Sudan","SSA","LIC",20,0.35935063111185572,{"$f":"VLOOKUP(A140,T_Source_WBWDI,10,FALSE)","v":7.3291473713986086},2015,0,0,20,0.16938879594748085,1.6938879594748085E-2,10,15,0.98882205880069918,0.11865864705608391,14.464285714285715,1.61849454629673,0.22379183850028858,{"$f":"(I140+L140+S140)/3","v":8.0243572698345547E-2},1.6673391828804968E-2]
["Spain","ECA","HIC",21,6.5869999999999997,{"$f":"VLOOKUP(A141,T_Source_WBWDI,13,FALSE)","v":58.293635048615322},2018,{"$f":"E141/D141","v":0.31366666666666665},{"$f":"E141/(F141*(D141/100))","v":0.53808047208769383},25,2.4729999999999999,0.19783999999999999,19,45,2.2490876575916978,0.20804060832723206,42.798627002288328,7.617,0.35594599796824039,{"$f":"(I141+L141+S141)/3","v":0.36395549001864475},0.20687061342955018]
["Sri Lanka","SA","UMIC",15,4.2067091445055071,{"$f":"VLOOKUP(A142,T_Source_WBWDI,13,FALSE)","v":69.766580298196956},2018,0.28044727630036714,{"$f":"E142/(F142*(D142/100))","v":0.40197939343117695},28,1.5338308726889311,0.10955934804920937,4,24,4.2586618662651565,0.70977697771085935,21.142857142857142,0.55010811889687405,5.2037254490244843E-2,{"$f":"(I142+L142+S142)/3","v":0.18785866532354376},7.4665552517223802E-2]
["St. Lucia","LAC","UMIC",12.5,6.1455247489773148,{"$f":"VLOOKUP(A143,T_Source_WBWDI,10,FALSE)","v":59.934823636238541},2016,0.4916419799181852,{"$f":"E143/(F143*(D143/100))","v":0.82029436326049765},30,2.1318328932688733,0.14212219288459155,10,30,1.6050834598256136,0.93629868489827461,22.631578947368418,2.4291064150241728,0.21466521807190367,{"$f":"(I143+L143+S143)/3","v":0.39236059140566432},0.14045692996162781]
["St. Vincent and the Grenadines","LAC","UMIC",16,7.6220903696942042,{"$f":"VLOOKUP(A144,T_Source_WBWDI,12,FALSE)","v":79.443563921304616},2017,0.47638064810588776,0.59964662282495529,30,2.6152441807393885,0.17434961204929256,10,30,1.3379756628916799,0.86012721185893704,22.173913043478262,3.7836604290278411,0.34127133281427585,0.3717558558961746,0.12703102658516993]
["Sweden","ECA","HIC",25,9.2910000000000004,{"$f":"VLOOKUP(A145,T_Source_WBWDI,13,FALSE)","v":44.656038158034107},2018,0.37164000000000003,0.83222788077347143,21.4,2.9790000000000001,{"$f":"K145/J145*2","v":0.27841121495327104},32,57,1.481608180133811,2.8726954531817509E-2,{"$f":"(N145)*(O145/(O145+P145))+(M145)*(P145/(O145+P145))","v":56.52449370552818},12.737,0.45067188275422987,0.52043699282699085,0.37371907055157938]
["Switzerland","ECA","HIC",7.7,3.302,{"$f":"VLOOKUP(A146,T_Source_WBWDI,13,FALSE)","v":53.259733679455287},2018,0.42883116883116884,0.80516957034013215,21.15,2.9990000000000001,0.28359338061465722,3.68,32.115000000000002,9.1219044816537558,0.17514249865463383,31.579327010523585,8.5139999999999993,0.53921351757513836,0.54265882284330924,0.1870874674246101]
["Tajikistan","ECA","LIC",18,7.8090780985378343,{"$f":"VLOOKUP(A147,T_Source_WBWDI,12,FALSE)","v":82.390485901407899},2017,0.43383767214099078,0.52656282748488725,23,3.2282711277165128,0.28071922849708808,8,13,0.20101557709288187,7.8923427056098769E-2,11.590346005980349,2.531964680482476,0.43690924829613215,0.41473043475936916,0.25564833408078486]
["Tanzania","SSA","LIC",18,3.7473001405426429,{"$f":"VLOOKUP(A148,T_Source_WBWDI,12,FALSE)","v":59.444877548673801},2017,0.20818334114125794,0.35021241480528958,30,1.5147826353714089,0.1009855090247606,9,30,3.3867864428152292,0.79965791010915133,25.988764044943824,2.7643096247953309,0.21273113411740979,0.22130968598248665,0.1137384959085949]
["Thailand","EAP","UMIC",7,3.841351,{"$f":"VLOOKUP(A149,T_Source_WBWDI,13,FALSE)","v":48.735951036309018},2018,0.5487644285714286,1.1259951163415087,20,4.0614710000000001,0.40614709999999998,5,35,20.307331394116961,0.84279438592185019,33.804554079696402,1.813895,0.10731660566937971,0.54648627400362948,0.33381837178362334]
["Timor-Leste","EAP","LMIC",5,0.69094622191967325,{"$f":"VLOOKUP(A150,T_Source_WBWDI,12,FALSE)","v":41.169416549731203},2017,0.13818924438393465,0.33565995334669585,10,0.3403675970047651,6.807351940095302E-2,10,10,2.651532895359022,2.651532895359022,10,0.76242341729067387,0.15248468345813476,0.18540605206859453,4.6173990239696816E-2]
["Togo","SSA","LIC",18,8.4278193356691347,{"$f":"VLOOKUP(A151,T_Source_WBWDI,13,FALSE)","v":67.031375423800313},2018,0.4682121853149519,0.69849705806380857,27,3.2376204465867593,0.23982373678420441,0.5,35,38.430158266536488,0.1,34.910459750096685,1.7330303690626294,9.9284305131950024E-2,0.34586836665998771,0.18457470225550976]
["Tonga","EAP","UMIC",15,8.3848164726947179,{"$f":"VLOOKUP(A152,T_Source_WBWDI,7,FALSE)","v":93.773732200849381},2012,0.55898776484631452,0.59610271632256884,25,1.6825326590010026,0.1346026127200802,10,25,5.3868247424401972,0.89780412374003293,22.857142857142854,1.8630647911839999,0.16301816922860002,0.29790783275708305,0.16377862845438365]
["Trinidad and Tobago","LAC","HIC",12.5,4.3083099999999996,{"$f":"VLOOKUP(A153,T_Source_HC_exp,5,FALSE)","v":60.924982345025093},{"$f":"VLOOKUP(A153,T_Source_HC_exp,2,FALSE)","v":2017},0.34466479999999999,0.56571998338567264,30,5.807887,0.38719246666666668,25,30,9.6744188061315963,0.64977439742674903,29.685314685314687,4.4775200000000002,0.30166565842167253,{"$f":"(I153+L153+S153)/3","v":0.41819270282467064},0.23514154485786026]
["Tunisia","MENA","LMIC",19,7.4,{"$f":"VLOOKUP(A154,T_Source_WBWDI,13,FALSE)","v":72.125903374144485},2018,0.38947368421052636,0.53999141222561642,25,2.7,0.21600000000000003,26,35,5.1563912851212121,0.51563912851212124,34.18181818181818,7.2,0.4212765957446809,0.39242266932343245,0.172638657326176]
["Turkey","ECA","UMIC",18,4.8220000000000001,56.687205187092417,2018,0.2678888888888889,0.47257381626901362,22,2.1259999999999999,0.19327272727272726,15,35,2.8758976516993746,0.1,34.327933876066638,3.7549999999999999,0.21877226946175038,0.29487293766783046,0.14654680851268823]
["Uganda","SSA","LIC",18,4.3750606605222178,72.213604172146944,2018,0.24305892558456765,0.33658329115543079,30,0.72098377926208834,4.806558528413922E-2,10,40,41.213123143941672,0.96850839388262921,{"$f":"(N156)*(O156/(O156+P156))+(M156)*(P156/(O156+P156))","v":39.311187103077671},2.2966265600178724,0.11684340917998223,0.16716409520651743,9.0649259660160644E-2]
["Ukraine","ECA","LMIC",20,11.1,69.065553602910725,2018,0.55499999999999994,0.80358437896689772,18,2.7,0.30000000000000004,18,18,0,0,18,6.8,0.75555555555555554,0.61971331150748443,0.33475734908670218]
["United Kingdom","ECA","HIC",20,7.0469999999999997,65.510041218944465,2018,0.35235,0.53785647733359376,19,2.806,0.29536842105263156,20,45,4.5906001769033686,0.38255001474194739,{"$f":"(N158)*(O158/(O158+P158))+(M158)*(P158/(O158+P158))","v":43.07692307692308},8.7530000000000001,0.40638928571428568,0.41320472803350367,0.24000702168088503]
["United States","NA","HIC",{"$f":"VLOOKUP(A159,T1_VAT,4,FALSE)","v":8.6289999999999996},{"$f":"VLOOKUP(A159,T_3,5,FALSE)","v":2.0129999999999999},68.138784913438315,2018,0.2332831150770657,0.34236465380681846,25.88,{"$f":"VLOOKUP(A159,T_3,6,FALSE)","v":0.874},6.7542503863987635E-2,10,37,7.8373136484014312,0.18737061828433757,{"$f":"(N159)*(O159/(O159+P159))+(M159)*(P159/(O159+P159))","v":36.369569377990423},{"$f":"VLOOKUP(A159,T_3,7,FALSE)","v":8.9510000000000005},0.49222468965589838,0.30071061577556818,0.15061995973211231]
["Uruguay","LAC","HIC",22,7.640377,66.794544145697046,2018,0.34728986363636366,0.51993747105875909,25,3.1608209999999999,0.25286567999999998,10,36,10.083345024490622,0.61376882757769002,{"$f":"(N160)*(O160/(O160+P160))+(M160)*(P160/(O160+P160))","v":34.508196721311478},3.5691030000000001,0.20685537577197149,0.32655284227691017,0.21171336913320946]
["Uzbekistan","ECA","LMIC",15,7.1,54.472527416271802,2018,0.47333333333333333,0.86893954766626302,12,3.8685999999999998,0.6447666666666666,12,12,0,0,0,1.9313999999999998,0,0.50456873811097658,0]
["Vanuatu","EAP","LMIC",15,8.1791100702576109,{"$f":"VLOOKUP(A162,T_Source_WBWDI,9,FALSE)","v":61.623835467519484},2014,0.54527400468384069,0.88484269203146604,0,0,0,0,0,0,0,0,0,0,0.29494756401048866,0.23110201291408669]
["Venezuela, RB","LAC","UMIC",16,8.0331398513826944,{"$f":"VLOOKUP(A163,T_Source_WBWDI,9,FALSE)","v":75.289602232412136},2014,0.5020712407114184,0.66685335799964818,34,0.19797699570494059,1.1645705629702388E-2,6,34,5.3087817513812565,1.0617563502762513,{"$f":"(N163)*(O163/(O163+P163))+(M163)*(P163/(O163+P163))","v":29.333333333333332},0,{"$f":"R163/Q163*2","v":0},0.22616635454311684,0.1347512438981299]
["Vietnam","EAP","LMIC",10,6.1,{"$f":"VLOOKUP(A164,T_Source_WBWDI,13,FALSE)","v":67.571971509465683},2018,0.61,0.90274116082960421,20,4.5,0.45,5,35,16.760353278522281,1.6948671854685451,{"$f":"(N164)*(O164/(O164+P164))+(M164)*(P164/(O164+P164))","v":32.244897959183675},1.9,{"$f":"R164/Q164*2","v":0.11784810126582278},0.49019642069847569,0.27612129048833173]
["Yemen, Rep.","MENA","LIC",5,3.1,{"$f":"VLOOKUP(A165,T_Source_HC_exp,5,FALSE)","v":65.21008447654431},{"$f":"VLOOKUP(A165,T_Source_HC_exp,2,FALSE)","v":2017},0.62,0.95077318941828759,20,1.4,0.13999999999999999,15,15,0,0,15,2.7,0.36000000000000004,{"$f":"(I165+L165+S165)/3","v":0.48359106313942918},0.13531418428857708]
["Zambia","SSA","LMIC",16,4.7408820654808999,{"$f":"VLOOKUP(A166,T_Source_WBWDI,11,FALSE)","v":51.402372997436352},2016,0.29630512909255624,{"$f":"E166/(F166*(D166/100))","v":0.57644250997387647},35,2.3035726478168783,0.13163272273239304,25,37.5,4.3480036965044331,2.3142600320104241,{"$f":"(N166)*(O166/(O166+P166))+(M166)*(P166/(O166+P166))","v":33.15789473684211},3.6431085388649294,0.21974305472518618,0.30927276247715191,0.15162264906010264]
["Zimbabwe","SSA","LMIC",15,3.1,{"$f":"VLOOKUP(A167,T_Source_WBWDI,13,FALSE)","v":74.15413650986018},2018,0.20666666666666667,{"$f":"E167/(F167*(D167/100))","v":0.2786987704174621},25,1.5,0.12,20,45,36.705048932418357,0.64233835631732128,{"$f":"(N167)*(O167/(O167+P167))+(M167)*(P167/(O167+P167))","v":44.570024570024565},1.5,{"$f":"R167/Q167*2","v":6.73098125689085E-2},0.1553361943287902,0.18830863167050726]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(U9:U167)","v":29.936613799041861}]
[null,null,null,null,null,"n/a",{"$f":"COUNTIF(F5:F167,F169)","v":0}]
[]
[null,null,null,{"$f":"SUM(D5:D167)","v":2555.2289999999998},{"$f":"SUM(E5:E167)","v":989.40447064351247},10490.647283230095,328892,64.74531551489369,104.05093759518894,3897.1150000000007,490.44095745968582,43.963170430760044,1949.97,4944.7949999999992,2115.3974209327462,122.84234179469597,4624.931623882283,601.32821439073359,39.759898279104334,62.392354186536693]
["Sources"]
["ICTD","International Centre for Tax & Development\nICTD Government Revenue Dataset"]
["WDI","World Bank World Development Indicators (data last updated 29/06/2018 - downloaded 20/09/2018)\nHousehold final consumption expenditure, etc. (% of GDP)"]

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["INDICATOR T3: Impact of tax on income Gini"]
[null,null,null,null,"TAX REVENUE BY TYPE, AS % GDP",null,null,null,null,null,null,null,null,null,null,"Comparison of Tax Revenue breakdown to IMF documentation/GDP totals",null,null,null,null,null,null,null,4.8999999999999998E-3,1E-4,-8.9999999999999998E-4,2.5999999999999999E-3,1.2999999999999999E-3,7.1999999999999998E-3,{"$f":"SUM(X2:AC2)","v":1.52E-2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INCIDENCE (NEGATIVE = LOWER GINI)"]
["Country Name","Region (code)","Inc. Group Code","unused column","VAT","CIT","PIT","EXCISE","CUSTOMS","OTHER","Small Differences written off","SOCSEC/GDP","Source","Year","Notes","Total Revenue to GDP","Tax Revenue to GDP","Non Tax Revenue to GDP","Source","IMF Country Report No.","Year ","Difference between Tax Revenue by type - IMF Tax Revenue","Notes","VAT","CIT","PIT","EXCISES","CUSTOMS","SOCSEC","T3\nTax Impact ","CRII-2\nT2\nTax Incidence","Source / Year\n"]
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["Afghanistan","SA","LIC",null,2.2425751217260332,1.0626714392609997,0.80889915525837286,0,3.3562111614556058,0.19094485532987623,-7.3218282673401802E-3,0.34602009523645333,"National Budget",2019,"Afghanistan 1399 Budget (1398 Budget = 2019)",12.6,8,{"$f":"P6-Q6","v":4.5999999999999996},"FIFTH REVIEW UNDER THE EXTENDED CREDIT FACILITY ARRANGEMENT AND REQUEST FOR MODIFICATION OF PERFORMANCE CRITERIA, June 2019","19/157",2019,{"$f":"SUM(E6:L6)-Q6","v":0},null,0,{"$f":"F6*Y$2","v":1.0626714392609998E-4},-7.2800923973253553E-4,0,4.363074509892287E-3,{"$f":"L6*AC$2","v":2.4913446857024639E-3},{"$f":"SUM(X6:AC6)","v":6.2326770997883155E-3},2.2931135708739859E-3,"MV",null,null,"MV"]
["Albania","ECA","UMIC",null,8.4,2,2.4,2.7,0.4,{"$f":"2.1+1.3","v":3.4000000000000004},-0.100000000000001,5.8,"IMF",2019,"IMF Country Report 19/207",27.2,25,{"$f":"P7-Q7","v":2.1999999999999993},"SECOND POST-PROGRAM MONITORING DISCUSSIONS, July 2019","19/207",2018,{"$f":"SUM(E7:L7)-Q7","v":0},null,{"$f":"E7*X$2*(T1_VAT!M7/T1_VAT!D7)","v":4.1160000000000002E-2},2.0000000000000001E-4,-2.16E-3,7.0200000000000002E-3,5.1999999999999995E-4,{"$f":"L7*AC$2","v":4.1759999999999999E-2},{"$f":"Y7-AG7","v":-7.8000000000000005E-3},-7.8000000000000005E-3,"CEQ Study",8.0000000000000002E-3,null,"CEQ  "]
["Algeria","MENA","UMIC",null,2.4608154462611207,19.461551692986614,0.92436657439230774,3.0170931914131098,1.7061896071061704,0.57977287038969727,null,null,"National Budget",2019,"Used 2019 Budget ",28.2,{"$f":"13.9+11.2","v":25.1},{"$f":"P8-Q8","v":3.0999999999999979},"2018 ARTICLE IV CONSULTATION, June 2018","18/168",2019,3.0497893825490188,"Jun-17 IMF document uses old gdp figure.  No recent updates",{"$f":"E8*X$2*(T1_VAT!M8/T1_VAT!D8)","v":6.0289978433397456E-3},1.9461551692986614E-3,-8.3192991695307697E-4,7.8444422976740851E-3,2.2180464892380216E-3,{"$f":"L8*AC$2","v":0},{"$f":"SUM(X8:AC8)","v":1.7205711882597438E-2},1.5424957227119274E-2,"MV",null,null,"MV"]
["Angola","SSA","LMIC",null,0.88963336508875912,15.777451080783852,0.92587057642705506,1.5331990136349143,0.50626323067884416,0.57259484277616735,-0.205012109389589,0.52178741684454888,"National Budget",2019,"Angola Budget 2019",21.3,20,{"$f":"P9-Q9","v":1.3000000000000007},"FIRST REVIEW OF THE EXTENDED ARRANGEMENT UNDER THE EXTENDED FUND FACILITY, REQUESTS FOR A WAIVER OF NONOBSERVANCE OF PERFORMANCE CRITERIA, MODIFICATIONS OF PERFORMANCE CRITERIA, AND FINANCING ASSURANCES REVIEW, June 2019","19/170",2019,{"$f":"SUM(E9:K9)-Q9","v":0},null,{"$f":"E9*X$2*(T1_VAT!M9/T1_VAT!D9)","v":0},1.5777451080783852E-3,-8.3328351878434956E-4,3.9863174354507766E-3,6.581421998824974E-4,{"$f":"L9*AC$2","v":3.756869401280752E-3},{"$f":"SUM(X9:AC9)","v":9.1457906259080624E-3},1.3163020073515622E-2,"MV",null,null,"MV"]
["Antigua and Barbuda","LAC","HIC",null,6.2586937253181221,1.9504168494953928,0,0,2.2469347301448002,6.0244681878016673,null,0,"National Budget",2019,"Used 2019 Budget ",19.5,18.5,{"$f":"P10-Q10","v":1},"2014 ARTICLE IV CONSULTATION, July 2015","15/189",2019,-2.0194865072400177,"IMF docs not updated since 2015 - likely reason for difference",{"$f":"E10*X$2*(T1_VAT!M10/T1_VAT!D10)","v":1.5333799627029399E-2},1.950416849495393E-4,0,0,2.9210151491882402E-3,{"$f":"L10*AC$2","v":0},{"$f":"SUM(X10:AC10)","v":1.8449856461167178E-2},2.071073097934386E-2,"MV",null,null,"MV"]
["Argentina","LAC","UMIC",null,7.2485340000000003,2.813955,2.2173370000000001,1.7314799999999999,1.2952279999999998,8.0784400000000005,-0.28499999999999698,6.9472649999999998,"OECD_Global",2017,null,34.5,23.1,{"$f":"P11-Q11","v":11.399999999999999},"FOURTH REVIEW UNDER THE STAND-BY ARRANGEMENT, REQUEST FOR WAIVERS OF APPLICABILITY AND MODIFICATION OF PERFORMANCE CRITERIA, AND FINANCING ASSURANCES REVIEW, July 2019","19/232",2017,{"$f":"SUM(E11:K11)-Q11","v":-2.5999999998305157E-5},null,{"$f":"E11*X$2*(T1_VAT!M11/T1_VAT!D11)","v":1.7758908300000001E-2},2.8139549999999999E-4,-2.4E-2,4.5018479999999993E-3,1.6837963999999997E-3,{"$f":"L11*AC$2","v":5.0020307999999999E-2},{"$f":"Y11-AG11","v":-4.0518604499999999E-2},-4.050696584499202E-2,"CEQ Study",4.0800000000000003E-2,null,"CEQ  "]
["Armenia","ECA","UMIC",null,7.7,3,5.7,0,1.5,4,-9.9999999999997896E-2,0,"IMF",2019,"IMF Country Report 19/397",22.9,21.8,1.0999999999999979,"FIRST REVIEW UNDER THE STAND BY ARRANGEMENT, December 2019","19/397",2019,0,null,{"$f":"E12*X$2*(T1_VAT!M12/T1_VAT!D12)","v":1.8865E-2},3.0000000000000003E-4,-5.13E-3,0,1.9499999999999999E-3,0,{"$f":"Y12-AG12","v":-1.9699999999999999E-2},-1.976E-2,"CEQ Study",0.02,null,"CEQ  "]
["Australia","EAP","HIC",null,3.4670000000000001,5.2779999999999996,11.502000000000001,1.2809999999999999,0.84899999999999998,6.1539999999999999,-0.83099999999999996,0,"OECD",2017,null,34.4,27.7,6.6999999999999993,"2018 ARTICLE IV CONSULTATION, February 2019","19/55",2017,0,null,{"$f":"E13*X$2*(T1_VAT!M13/T1_VAT!D13)","v":8.4941500000000007E-3},5.2780000000000004E-4,-1.03518E-2,3.3305999999999995E-3,1.1037E-3,0,{"$f":"X13+Y13+AA13+AB13-Source_OECDEU_incidence!I4","v":-3.6543749999999986E-2},-3.8655049999999989E-2,"Direct Tax OECD (2018) and OECD Incidence",null,null,"OECD"]
["Austria","ECA","HIC",null,7.5949999999999998,2.7,9.3650000000000002,2.1230000000000002,0.12,5.5869999999999997,-0.29000000000000298,14.691000000000001,"OECD",2018,null,48.2,27.2,21.000000000000004,"2018 ARTICLE IV CONSULTATION, September 2018","18/272",2018,{"$f":"SUM(E14:K14)-Q14","v":0},null,{"$f":"E14*X$2*(T1_VAT!M14/T1_VAT!D14)","v":2.7911624999999999E-2},2.7000000000000006E-4,-8.4285000000000002E-3,5.5198000000000001E-3,1.56E-4,0.1057752,{"$f":"X14+Y14+AA14+AB14-Source_OECDEU_incidence!I5","v":-1.3142574999999983E-2},-1.2992449999999989E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Azerbaijan","ECA","UMIC",null,9.6,6.6,3,1.7,2.1,1.5,null,1.5,"IMF",2019,"IMF Country Report 16/296",61.6,26,35.6,"2016 ARTICLE IV CONSULTATION, September 2016","16/296",2019,0,null,{"$f":"E15*X$2*(T1_VAT!M15/T1_VAT!D15)","v":2.3519999999999999E-2},6.6E-4,-2.7000000000000001E-3,4.4199999999999995E-3,2.7299999999999998E-3,1.0800000000000001E-2,{"$f":"SUM(X15:AC15)","v":3.943E-2},4.0154999999999996E-2,"MV",null,null,"MV"]
["Bahamas, The","LAC","HIC",null,7.6,0,0,0,4.5999999999999996,{"$f":"1.2+4.3","v":5.5},null,null,"IMF",2019,null,19.399999999999999,17.7,1.6999999999999993,"2019 ARTICLE IV CONSULTATION, July 2019","19/198",2019,{"$f":"SUM(E16:L16)-Q16","v":0},null,{"$f":"E16*X$2*(T1_VAT!M16/T1_VAT!D16)","v":1.8619999999999998E-2},0,0,0,5.9799999999999992E-3,0,{"$f":"SUM(X16:AC16)","v":2.4599999999999997E-2},null,"MV",null,null,"MV"]
["Bahrain","MENA","HIC",null,0,0.12789388000965099,0,0,0.93034309148788497,0,-2.3697149753587599E-4,0,"IMF_World",2013,null,26.603999999999999,1.0580000000000001,{"$f":"26.6-Q17","v":25.542000000000002},"IMF WEO October 2017 / World Bank","n/a",2013,0,null,0,1.27893880009651E-5,0,0,1.2094460189342503E-3,0,{"$f":"SUM(X17:AC17)","v":1.2222354069352155E-3},1.2222354069352155E-3,"MV",null,null,"MV"]
["Bangladesh","SA","LMIC",null,4.1320854183284528,2.2504422995713624,1.5019519536688488,7.9726296705632138E-2,1.2378079290207269,2.2167474904156927,0.68123861228928295,0,"National Budget",2019,"Used 2019/20 Budget  for 2018/19 Revised figures",13.5,12.1,{"$f":"P18-Q18","v":1.4000000000000004},"2019 ARTICLE IV CONSULTATION, September 2019","19/299",2019,0,null,{"$f":"E18*X$2*(T1_VAT!M18/T1_VAT!D18)","v":0},2.2504422995713624E-4,-1.3517567583019639E-3,2.0728837143464354E-4,1.6091503077269448E-3,0,{"$f":"SUM(X18:AC18)","v":6.8972615081676065E-4},1.2742769746514181E-3,"MV",null,null,"MV"]
["Barbados","LAC","HIC",null,9.8748129999999996,2.7907920000000002,4.9233650000000004,4.7359369999999998,2.4003679999999998,3.953757,null,3.1569419999999999,"OECD_Global",2018,"OECD 2017 = 2017/18 Barbados",28.4,26.7,1.6999999999999993,"2019 ARTICLE IV CONSULTATION, December 2019","19/370",2017,{"$f":"SUM(E19:K19)-Q19","v":1.9790320000000001},"Unknown - GDP on IMF 10,011 but on OCED is 8,542???",{"$f":"E19*X$2*(T1_VAT!M19/T1_VAT!D19)","v":2.419329185E-2},2.7907920000000002E-4,-4.4310285000000007E-3,1.23134362E-2,3.1204783999999996E-3,2.2729982399999998E-2,{"$f":"SUM(X19:AC19)","v":5.8205239549999996E-2},5.3749652588555866E-2,"MV",null,null,"MV"]
["Belarus","ECA","UMIC",null,8.8000000000000007,3,4.2,1.8,3.1,{"$f":"2.3+1.3","v":3.5999999999999996},null,0,"IMF",2019,"IMF Country Report 19/9",28.8,{"$f":"28.8-4.3","v":24.5},4.3000000000000007,"2018 ARTICLE IV CONSULTATION, January 2019","19/9",2019,0,null,{"$f":"E20*X$2*(T1_VAT!M20/T1_VAT!D20)","v":3.2340000000000008E-2},3.0000000000000003E-4,-3.7799999999999999E-3,4.6800000000000001E-3,4.0299999999999997E-3,0,{"$f":"Y20-AG20","v":-9.1999999999999998E-3},-9.219999999999999E-3,"CEQ Study",9.4999999999999998E-3,null,"CEQ  "]
["Belgium","ECA","HIC",null,6.8929999999999998,4.3890000000000002,12.113,2.246,0.39200000000000002,5.3179999999999996,-0.65100000000000002,13.494,"OECD",2018,null,51.3,30.7,20.599999999999998,"2019 ARTICLE IV CONSULTATION, March 2019","19/74",2018,{"$f":"SUM(E21:K21)-Q21","v":0},null,{"$f":"E21*X$2*(T1_VAT!M21/T1_VAT!D21)","v":2.1712950000000002E-2},4.3890000000000004E-4,-1.0901699999999999E-2,5.8395999999999995E-3,5.0960000000000003E-4,9.7156800000000001E-2,{"$f":"X21+Y21+AA21+AB21-Source_OECDEU_incidence!I6","v":-2.249894999999999E-2},-1.7738749999999984E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Belize","LAC","UMIC",null,7.9967725637181406,4.4538634932533734,2.453137781109445,4.7257677161419291,3.1416048975512241,3.3663574462768615,0.562496101949023,0,"National Budget",2019,"Used 2019/20 Budget  for 2018/19 Revised figures",30.6,26.7,3.9000000000000021,"2019 ARTICLE IV CONSULTATION, December 2019","19/364",2019,0,null,{"$f":"E22*X$2*(T1_VAT!M22/T1_VAT!D22)","v":1.9592092781109443E-2},{"$f":"F22*Y$2","v":4.4538634932533735E-4},-2.2078240029985005E-3,1.2286996061969015E-2,4.0840863668165908E-3,0,{"$f":"SUM(X22:AC22)","v":3.4200737556221883E-2},2.8916359757281553E-2,"MV",null,null,"MV"]
["Benin","SSA","LIC",null,6.1247146815340425,1.7249535394492315,1.5391113363743876,0.35556681871937829,3.7709948133130595,1.0312367122824802,-0.54657790167257903,0,"National Budget",2018,"Used 2018 Budget ",17.8,14,3.8000000000000007,"2019 ARTICLE IV CONSULTATION, July 2019","19/203",2018,{"$f":"SUM(E23:K23)-Q23","v":0},null,{"$f":"Source_CEQ_Incidence!D4","v":1E-3},1.7249535394492314E-4,{"$f":"Source_CEQ_Incidence!C4","v":-8.9999999999999993E-3},{"$f":"Source_CEQ_Incidence!E4","v":-1E-4},0,0,{"$f":"SUM(X23:AC23)","v":-7.9275046460550759E-3},1.0462696588039395E-2,"CEQ Study 2018",null,null,"CEQ  "]
["Bhutan","SA","LMIC",null,2.2526627495112197,5.1454122088711642,1.6459971891903105,1.6857167305408476,0.30521711171153415,2.7301436002219606,0.63485040995296205,0,"National Budget",2019,"Used 2019/20 Budget  for 2018/19 Revised figures",19.5,14.4,5.0999999999999996,"2018 ARTICLE IV CONSULTATION, October 2018","18/300",2019,0,null,{"$f":"E24*X$2*(T1_VAT!M24/T1_VAT!D24)","v":1.1038047472604976E-2},5.1454122088711641E-4,-1.4813974702712793E-3,4.3828634994062038E-3,3.9678224522499437E-4,0,{"$f":"SUM(X24:AC24)","v":1.4850836967852013E-2},1.3693790140436327E-2,"MV",null,null,"MV"]
["Bolivia","LAC","LMIC",null,9.4613599999999991,3.8893110000000002,0.19372300000000001,2.3272590000000002,1.2339850000000001,2.5946359999999999,0.499725999999999,4.2375179999999997,"OECD_Global",2017,null,30.7,{"$f":"23.9-3.7","v":20.2},10.5,"2018 ARTICLE IV CONSULTATION, December 2018","18/379",2017,{"$f":"SUM(E25:K25)-Q25","v":0},null,{"$f":"E25*X$2*(T1_VAT!M25/T1_VAT!D25)","v":4.6360663999999996E-2},3.8893110000000005E-4,-1.743507E-4,6.0508734000000002E-3,1.6041805000000001E-3,3.0510129599999998E-2,{"$f":"Y25+AG25","v":7.8893110000000013E-4},8.4440894568690102E-4,"CEQ Study",4.0000000000000002E-4,null,"CEQ  "]
["Botswana","SSA","UMIC",null,3.6231808831609973,4.8553705419851143,2.6719419346620708,6.0367460412608022E-2,7.3880589964533696,0.26756199760227783,0.73351818572356098,null,"National Budget",2019,"Used 2020/21 Budget  for 2018/19 actuals",27.7,19.600000000000001,8.0999999999999979,"2019 ARTICLE IV CONSULTATION, March 2020","20/78",2019,0,null,{"$f":"E26*X$2*(T1_VAT!M26/T1_VAT!D26)","v":0},4.8553705419851148E-4,-2.4047477411958634E-3,1.5695539707278084E-4,9.6044766953893804E-3,0,{"$f":"SUM(X26:AC26)","v":7.8422214054648092E-3},7.5757035168234569E-3,"MV",null,null,"MV"]
["Brazil","LAC","UMIC",null,11.346391000000001,2.8130579999999998,2.7044269999999999,0.28117999999999999,0.49323699999999998,6.2496929999999997,1.1120140000000001,8.4118320000000004,"OECD_Global",2017,null,{"$f":"17.6+11.3","v":28.900000000000002},{"$f":"12.8+5.7+6.5","v":25},{"$f":"P27-Q27","v":3.9000000000000021},"2019 ARTICLE IV CONSULTATION, July 2019","19/242",2017,{"$f":"SUM(E27:K27)-Q27","v":0},null,{"$f":"E27*X$2*(T1_VAT!M27/T1_VAT!D27)","v":5.5597315899999999E-2},2.8130579999999998E-4,-1.4500000000000001E-2,7.3106799999999997E-4,6.4120809999999992E-4,6.0565190400000003E-2,{"$f":"Y27+0.005","v":5.2813058000000003E-3},5.3162315276923987E-3,"International Policy Centre for Inclusive Growth\nEquidade Fiscal: Impactos Distributivos da Tributação e do Gasto Social no Brasil",null,null,"Country"]
["Bulgaria","ECA","UMIC",null,9.4,2.2999999999999998,3.4,4.7,{"$f":"0.2","v":0.2},1.1000000000000001,null,7.1,"IMF",2019,"IMF Country Report 19/83",36.4,21.1,{"$f":"P28-Q28","v":15.299999999999997},"2019 ARTICLE IV CONSULTATION, March 2019","19/83",2019,{"$f":"SUM(E28:J28)-Q28","v":0},null,{"$f":"E28*X$2*(T1_VAT!M28/T1_VAT!D28)","v":4.6060000000000004E-2},2.2999999999999998E-4,-3.0599999999999998E-3,1.222E-2,2.5999999999999998E-4,5.1119999999999999E-2,{"$f":"X28+Y28+AA28+AB28-Source_OECDEU_incidence!I7","v":4.6770000000000055E-2},4.4320000000000005E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Burkina Faso","SSA","LIC",null,7.1299489999999999,3.0313629999999998,1.427667,1.8011250000000001,2.251849,1.794889,-0.13684199999999799,1.908439,"OECD_Global",2017,null,22.1,17.3,{"$f":"P29-Q29","v":4.8000000000000007},"THIRD REVIEW UNDER THE EXTENDED CREDIT FACILITY ARRANGEMENT, December 2019","19/393",2017,{"$f":"SUM(E29:K29)-Q29","v":0},null,{"$f":"E29*X$2*(T1_VAT!M29/T1_VAT!D29)","v":1.7468375049999998E-2},3.0313630000000001E-4,-1.2849002999999999E-3,4.6829250000000001E-3,2.9274036999999997E-3,1.37407608E-2,{"$f":"SUM(X29:AC29)","v":3.7837700549999999E-2},8.295799999999999E-3,"MV",null,null,"MV"]
["Burundi","SSA","LIC",null,3.905221499344532,1.473123400319609,1.1509515989478181,2.7983854460540658,1.4516937711317706,0.45090305182502427,null,0,"National Budget",2019,"Used 2018/19 Budget ",null,null,null,null,null,null,11.230278767622821,null,{"$f":"E30*X$2*(T1_VAT!M30/T1_VAT!D30)","v":5.3154403741078353E-3},1.473123400319609E-4,-1.0358564390530363E-3,7.2758021597405711E-3,1.8872019024713017E-3,0,{"$f":"SUM(X30:AC30)","v":1.3589900337298634E-2},1.3786234987756801E-2,"MV",null,null,"MV"]
["Cabo Verde","SSA","LMIC",null,8.5313116239828819,2.8653930731816404,4.1195603759967874,0.19059042270414775,4.115228428467602,2.7471360475103808,-0.76921997184344104,3.5578709093961366E-2,"National Budget",2019,"Used 2019 Budget ",31.7,21.8,{"$f":"P31-Q31","v":9.8999999999999986},"2019 ARTICLE IV CONSULTATION, July 2019","19/255",2019,{"$f":"SUM(E31:K31)-Q31","v":0},null,{"$f":"E31*X$2*(T1_VAT!M31/T1_VAT!D31)","v":2.090171347875806E-2},2.8653930731816407E-4,-3.7076043383971087E-3,4.9553509903078408E-4,5.3497969570078822E-3,2.5616670547652182E-4,{"$f":"SUM(X31:AC31)","v":2.3582147209194305E-2},2.101407822468207E-2,"MV",null,null,"MV"]
["Cambodia","EAP","LMIC",null,5.0965746526075595,2.4399917998449103,0.6914424251067357,3.409303610742203,2.4506876543099838,0.62893852557646202,-8.3061331812146477E-2,0,"National Budget",2017,null,18.100000000000001,14.8,{"$f":"18.1-14.8","v":3.3000000000000007},"2017 ARTICLE IV CONSULTATION, October 2017","17/325",2017,{"$f":"SUM(E32:L32)-Q32","v":-0.16612266362429295},null,{"$f":"E32*X$2*(T1_VAT!M32/T1_VAT!D32)","v":0},2.4399917998449105E-4,-6.2229818259606216E-4,8.864189387929728E-3,3.1858939506029787E-3,0,{"$f":"SUM(X32:AC32)","v":1.1671784335921136E-2},2.4005876137777916E-2,"MV",null,null,"MV"]
["Cameroon","SSA","LMIC",null,5.5788930284933054,1.8170846374978196,1.2178898984985385,1.5915002276230901,1.8906544057477312,0.75431172024909476,0.64966608189041997,0,"National Budget",2019,"Used 2019 Budget ",15.7,{"$f":"3.1+0.6+7+1.9+0.9","v":13.5},{"$f":"P33-Q33","v":2.1999999999999993},"FOURTH REVIEW UNDER THE EXTENDED CREDIT FACILITY ARRANGEMENT AND REQUESTS FOR WAIVERS OF NONOBSERVANCE OF PERFORMANCE CRITERIA AND MODIFICATION OF PERFORMANCE CRITERIA, July 2019","19/247",2019,0,null,{"$f":"E33*X$2*(T1_VAT!M33/T1_VAT!D33)","v":0},1.8170846374978197E-4,-1.0961009086486845E-3,4.1379005918200339E-3,2.4578507274720506E-3,0,{"$f":"SUM(X33:AC33)","v":5.6813588743931821E-3},6.2356582500053149E-3,"MV",null,null,"MV"]
["Canada","NA","HIC",null,4.4640000000000004,3.6549999999999998,12.026999999999999,1.2490000000000001,0.30299999999999999,6.6779999999999999,0.224,4.6150000000000002,"OECD",2018,null,40.200000000000003,28.6,11.600000000000001,"2019 ARTICLE IV CONSULTATION, June 2019","19/175",2018,{"$f":"SUM(E34:K34)-Q34","v":0},null,{"$f":"E34*X$2*(T1_VAT!M34/T1_VAT!D34)","v":1.09368E-2},3.6549999999999999E-4,-1.0824299999999999E-2,3.2474000000000001E-3,3.9389999999999998E-4,3.3228000000000001E-2,{"$f":"X34+Y34+AA34+AB34-Source_OECDEU_incidence!I8","v":-2.7056399999999984E-2},-2.4182349999999981E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Central African Republic","SSA","LIC",null,2.6475421602669225,0.85311230959552264,0.86866496852687469,0.4484495068976786,2.1436823224532882,0.87882452137465228,0.35972421088506001,0,"National Budget",2019,"Used 2019 Budget ",20.9,8.1999999999999993,12.7,"SIXTH REVIEW UNDER THE EXTENDED CREDIT FACILITY ARRANGEMENT, REQUESTS FOR WAIVERS OF NONOBSERVANCE OF PERFORMANCE CRITERIA AND FINANCING ASSURANCES REVIEW, July 2019","19/216",2019,0,null,{"$f":"E35*X$2*(T1_VAT!M35/T1_VAT!D35)","v":1.7069679717510418E-3},8.5311230959552275E-5,-7.8179847167418723E-4,1.1659687179339643E-3,2.7867870191892745E-3,0,{"$f":"SUM(X35:AC35)","v":4.9632364681596458E-3},1.3888743751181966E-2,"MV",null,null,"MV"]
["Chad","SSA","LIC",null,1.7240776093630086,0.5077481389102072,1.8416340752110512,0.73541289332310056,2.7257212778204143,1.1513561780506523,-0.58595017267843597,null,"National Budget",2019,"Used 2019 Budget ",15.7,8.1,7.6,"2019 ARTICLE IV CONSULTATION, July 2019","19/258",2019,0,null,{"$f":"E36*X$2*(T1_VAT!M36/T1_VAT!D36)","v":4.2239901429393708E-3},5.0774813891020719E-5,-1.6574706676899459E-3,1.9120735226400615E-3,3.5434376611665386E-3,0,{"$f":"SUM(X36:AC36)","v":8.072805472947045E-3},2.19487153429018E-3,"MV",null,null,"MV"]
["Chile","LAC","HIC",null,8.4770000000000003,4.6639999999999997,1.413,1.462,0.182,3.4159999999999999,null,1.4570000000000001,"OECD",2018,null,21.7,17.5,4.1999999999999993,"2018 ARTICLE IV CONSULTATION, November 2018","18/311",2018,{"$f":"SUM(E37:K37)-Q37","v":2.1140000000000008},"Diff poss older IMF document?  Unable to reconcile",{"$f":"E37*X$2*(T1_VAT!M37/T1_VAT!D37)","v":4.1537299999999999E-2},4.6640000000000001E-4,-1.2717E-3,3.8011999999999998E-3,2.3659999999999998E-4,1.04904E-2,{"$f":"Y37-AG37","v":-1.55336E-2},-1.5572451987881588E-2,"CEQ Study",1.6E-2,"CHECK CEQ VS OECD","CEQ  "]
["China","EAP","UMIC",null,8.1592490496661103,3.9939701003814903,1.5684715284263466,0,0.32199189078566209,3.6404266722145211,null,0,"National Bureau of Statistics China",2018,null,null,null,null,null,null,null,17.684109241474133,null,{"$f":"E38*X$2*(T1_VAT!M38/T1_VAT!D38)","v":3.2484010278983205E-2},{"$f":"F38*Y$2","v":3.9939701003814903E-4},-1.4116243755837119E-3,0,4.1858945802136072E-4,0,{"$f":"X38+Y38+AA38+AB38+AG38","v":-6.9800325295728965E-4},1.4663822995985773E-2,"OECD+MV",-3.4000000000000002E-2,null,"MV"]
["Colombia","LAC","UMIC",null,6.3105120000000001,4.793952,1.1857789999999999,0.98600299999999996,0.41170800000000002,3.6419320000000002,-0.63145599999999646,1.438658,"OECD_Global",2017,null,25.4,19.399999999999999,6,"2REVIEW UNDER THE FLEXIBLE CREDIT LINE ARRANGEMENT, May 2019","19/141",2017,{"$f":"SUM(E39:L39)-Q39","v":-1.2629119999999929},null,{"$f":"E39*X$2*(T1_VAT!M39/T1_VAT!D39)","v":1.54607544E-2},4.7939520000000004E-4,-1.4999999999999999E-2,2.5636077999999997E-3,5.3522040000000002E-4,1.03583376E-2,{"$f":"Y39-AG39","v":-2.2060479999999995E-4},-2.1246537721503677E-4,"CEQ Study",6.9999999999999999E-4,null,"CEQ  "]
["Congo, Dem. Rep.","SSA","LIC",null,1.9375830000000001,1.1793020000000001,1.133472,0.71168100000000001,0.74044699999999997,0.38182099999999997,1.122063,0.49329499999999998,"OECD_Global",2017,"Budget Law 2018 checked - insufficient",9.8000000000000007,7.7,2.1000000000000005,"STAFF MONITORED PROGRAM AND REQUEST FOR DISBURSEMENT UNDER THE RAPID CREDIT FACILITY, December 2019","19/285",2017,{"$f":"SUM(E40:L40)-Q40","v":-3.3600000000078012E-4},null,{"$f":"E40*X$2*(T1_VAT!M40/T1_VAT!D40)","v":0},1.1793020000000002E-4,{"$f":"G40*Z$2","v":-1.0201247999999999E-3},1.8503706E-3,9.6258109999999993E-4,3.5517239999999996E-3,{"$f":"SUM(X40:AC40)","v":5.4624810999999995E-3},3.8572910781622958E-3,"MV",null,null,"MV"]
["Congo, Rep.","SSA","LMIC",null,3.6649530000000001,2.3172229999999998,2.239519,0.22221399999999999,2.2850139999999999,1.7856650000000001,null,0,"OECD_Global",2017,null,27.3,{"$f":"14.2-0.2","v":14},13.3,"2019 ARTICLE IV CONSULTATION, January 2020","20/26",2017,-1.4854120000000002,"Unknown difference.  Possibly something on goods+services but cannot be sure",{"$f":"E41*X$2*(T1_VAT!M41/T1_VAT!D41)","v":1.1473338975E-2},2.3172229999999998E-4,{"$f":"G41*Z$2","v":-2.0155670999999998E-3},5.7775639999999994E-4,2.9705181999999998E-3,0,{"$f":"SUM(X41:AC41)","v":1.3237768775E-2},1.3038843025863358E-2,"MV",null,null,"MV"]
["Costa Rica","LAC","UMIC",null,4.4309849999999997,2.572829,1.361354,2.6531509999999998,0.56349899999999997,4.4331530000000008,null,8.0512560000000004,"OECD_Global",2017,null,22.9,13.5,{"$f":"P42-Q42","v":9.3999999999999986},"2019 ARTICLE IV CONSULTATION, April 2019","19/101",2017,{"$f":"SUM(E42:J42)-Q42","v":2.5149710000000027},"OECD / IMF difference in Tax Revenue of 796 billion / 2.4% gdp.  Unknown",{"$f":"E42*X$2*(T1_VAT!M42/T1_VAT!D42)","v":1.1690983499999998E-2},2.5728289999999999E-4,-1.4E-2,6.8981925999999994E-3,7.3254869999999988E-4,5.7969043200000001E-2,{"$f":"Y42-AG42","v":-2.5442717100000001E-2},-2.5463191621405479E-2,"CEQ Study",2.5700000000000001E-2,null,"CEQ  "]
["Cote d'Ivoire","SSA","LMIC",null,3.5470807506477726,1.6666091670469392,1.4959458430982826,0.8053149961687649,4.3793697761509156,2.2419842946096553,0.86369517227766901,0,"National Budget",2019,"Used 2019 Budget ",19.399999999999999,{"$f":"16-1","v":15},{"$f":"P43-Q43","v":4.3999999999999986},"FOURTH REVIEWS UNDER THE ARRANGEMENT UNDER THE EXTENDED CREDIT FACILITY AND UNDER THE EXTENDED ARRANGEMENT UNDER THE EXTENDED FUND FACILITY, AND REQUEST FOR MODIFICATION OF PERFORMANCE CRITERIA, December 2018","18/367",2019,0,null,{"$f":"E43*X$2*(T1_VAT!M43/T1_VAT!D43)","v":4.3451739195435211E-3},1.6666091670469393E-4,-1.3463512587884544E-3,2.0938189900387887E-3,5.6931807089961898E-3,0,{"$f":"SUM(X43:AC43)","v":1.0952483276494739E-2},1.9567060566209483E-2,"MV",null,null,"MV"]
["Croatia","ECA","HIC",null,13.3,{"$f":"5.8/100*35","v":2.0299999999999998},{"$f":"5.8/100*65","v":3.7699999999999996},4.5999999999999996,{"$f":"0","v":0},3.2,9.9999999999997896E-2,12,"IMF",2019,"IMF Country Report 19/46",46.9,27,{"$f":"P44-Q44","v":19.899999999999999},"2018 ARTICLE IV CONSULTATION, Feburary 2019","19/46",2019,{"$f":"SUM(E44:K44)-Q44","v":0},null,{"$f":"E44*X$2*(T1_VAT!M44/T1_VAT!D44)","v":3.9102000000000005E-2},2.03E-4,-3.3929999999999993E-3,1.1959999999999998E-2,0,8.6400000000000005E-2,{"$f":"Y44-AG44","v":1.9202999999999998E-2},1.9199500000000001E-2,"CEQ Study",-1.9E-2,null,"CEQ  "]
["Cuba","LAC","UMIC",null,18.656437,6.2579969999999996,2.6215860000000002,3.7700909999999999,0,3.9527700000000001,null,5.388401,"OECD_Global",2017,null,null,null,null,null,null,null,40.647282000000004,"No IMF and ICTD only until 2015 to be able to compare",{"$f":"E45*X$2*(T1_VAT!M45/T1_VAT!D45)","v":4.5708270650000001E-2},6.2579970000000004E-4,-2.3594274E-3,9.8022366E-3,0,3.87964872E-2,{"$f":"SUM(X45:AC45)","v":9.2573366749999997E-2},8.4612855319695895E-2,"MV",null,null,"MV"]
["Cyprus","ECA","HIC",null,10.407442527406447,3.8623433091262314,3.9608678014709282,3.1997677182108331,0.13608321846523891,4.4802753920162823,-1.1467799666959599,null,"National Budget",2019,"Used 2019 Budget ",41.4,24.9,{"$f":"P46-Q46","v":16.5},"2019 ARTICLE IV CONSULTATION, December 2019","19/362",2019,{"$f":"SUM(E46:K46)-Q46","v":0},null,{"$f":"E46*X$2*(T1_VAT!M46/T1_VAT!D46)","v":3.2208295821657844E-2},3.8623433091262315E-4,-3.5647810213238354E-3,8.319396067348165E-3,1.7690818400481058E-4,0,{"$f":"X46+Y46+AA46+AB46-AG46","v":1.1090834403923437E-2},1.0376042105263161E-2,"EU (2015)",0.03,null,"EU  "]
["Czech Republic","ECA","HIC",null,7.6669999999999998,3.4660000000000002,4.3129999999999997,3.1030000000000002,0.156,1.004,0.59100000000000097,15.57,"OECD",2018,null,41.7,20.3,{"$f":"P47-Q47","v":21.400000000000002},"2019 ARTICLE IV CONSULTATION, June 2019","19/160",2018,{"$f":"SUM(E47:K47)-Q47","v":0},null,{"$f":"E47*X$2*(T1_VAT!M47/T1_VAT!D47)","v":3.2201399999999998E-2},3.4660000000000002E-4,-3.8816999999999996E-3,8.0678E-3,2.028E-4,0.112104,{"$f":"X47+Y47+AA47+AB47-Source_OECDEU_incidence!I12","v":2.8186000000000253E-3},1.3527000000000192E-3,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Denmark","ECA","HIC",null,9.6609999999999996,2.9049999999999998,24.41,3.6059999999999999,0.14199999999999999,4.09,null,4.7E-2,"OECD",2018,null,51.9,{"$f":"24.3+0.6+2.9+14.3","v":42.1},{"$f":"P48-Q48","v":9.7999999999999972},"2019 ARTICLE IV CONSULTATION, June 2019","19/178",2018,{"$f":"SUM(E48:K48)-Q48","v":2.7140000000000057},"IMF different classfications.  Possibly not incl Prop Taxes?",{"$f":"E48*X$2*(T1_VAT!M48/T1_VAT!D48)","v":4.7338899999999996E-2},2.9050000000000001E-4,-2.1968999999999999E-2,9.3755999999999996E-3,1.8459999999999999E-4,3.3839999999999999E-4,{"$f":"X48+Y48+AA48+AB48-Source_OECDEU_incidence!I13","v":1.4189600000000011E-2},1.6244500000000016E-2,"Direct Tax OECD (2016) and OECD Incidence",null,null,"OECD"]
["Djibouti","MENA","LMIC",null,5.5,6.3,2,1.1000000000000001,2.2000000000000002,1.2,null,null,"FERDI database",0,"Budget Law 2017 checked - insufficient",null,null,null,"2016 ARTICLE IV CONSULTATION, April 2017","17/87",null,18.3,null,{"$f":"E49*X$2*(T1_VAT!M49/T1_VAT!D49)","v":0},6.3000000000000003E-4,-1.8E-3,2.8600000000000001E-3,2.8600000000000001E-3,0,{"$f":"SUM(X49:AC49)","v":4.5500000000000002E-3},4.5500000000000002E-3,"MV",null,null,"MV"]
["Dominican Republic","LAC","UMIC",null,4.6947660000000004,2.2912080000000001,1.1927859999999999,2.4820799999999998,0.79439599999999999,2.3262890000000001,-8.2000000000002501E-2,7.2926000000000005E-2,"OECD_Global",2017,null,14.7,13.7,{"$f":"P50-Q50","v":1},"2019 ARTICLE IV CONSULTATION, August 2019","19/273",2017,{"$f":"SUM(E50:K50)-Q50","v":-4.7499999999978115E-4},null,{"$f":"E50*X$2*(T1_VAT!M50/T1_VAT!D50)","v":1.5873003845999999E-2},2.2912080000000003E-4,-0.01,6.453407999999999E-3,1.0327148E-3,5.2506720000000001E-4,{"$f":"Y50-AG50","v":-1.58708792E-2},-1.5888983645145172E-2,"CEQ Study",1.61E-2,null,"CEQ  "]
["Ecuador","LAC","UMIC",null,6.5359160000000003,1.0297651770682148,0.17258634252539912,0.90494399999999997,1.4074679999999999,4.6760364804063874,-1.218132,5.1914160000000003,"OECD_Global",2017,null,32,{"$f":"13.5+5.2","v":18.7},{"$f":"P51-Q51","v":13.3},"SECOND AND THIRD REVIEWS UNDER THE EXTENDED FUND FACILITY ARRANGEMENT, REQUESTS FOR WAIVER OF NONOBSERVANCE OF PERFORMANCE CRITERION, MODIFICATION OF PERFORMANCE CRITERIA, AND FINANCING ASSURANCES REVIEW, December 2019","19/379",2017,{"$f":"SUM(E51:L51)-Q51","v":0},null,{"$f":"E51*X$2*(T1_VAT!M51/T1_VAT!D51)","v":1.6012994200000002E-2},1.0297651770682149E-4,-1.2E-2,2.3528543999999998E-3,1.8297083999999999E-3,3.7378195199999999E-2,{"$f":"Y51-AG51","v":-1.0797023482293179E-2},-1.0759005544178612E-2,"CEQ Study",1.09E-2,null,"CEQ  "]
["Egypt, Arab Rep.","MENA","LMIC",null,6.6,3.2,1.6,0.4,0.8,{"$f":"0.6+1.3","v":1.9},null,0,"IMF",2019,"IMF Country Report 19/98",18.600000000000001,14.5,{"$f":"P52-Q52","v":4.1000000000000014},"FOURTH REVIEW UNDER THE EXTENDED ARRANGEMENT UNDER THE EXTENDED FUND FACILITY, April 2019","19/98",2019,0,null,{"$f":"Source_CEQ_Incidence!D9","v":-1E-3},3.2000000000000003E-4,{"$f":"Source_CEQ_Incidence!C9","v":-3.0000000000000001E-3},{"$f":"Source_CEQ_Incidence!E9","v":3.0000000000000001E-3},0,0,{"$f":"SUM(X52:AC52)","v":-6.8000000000000005E-4},5.8050000000000003E-3,"CEQ Study 2019",null,null,"CEQ  "]
["El Salvador","LAC","LMIC",null,7.679767,3.240418,3.0574340000000002,1.666167,0.84941,1.566068,-0.35900000000000198,2.3069419999999998,"OECD_Global",2017,null,22.5,17.7,{"$f":"P53-Q53","v":4.8000000000000007},"2019 ARTICLE IV CONSULTATION, May 2019","19/143",2017,{"$f":"SUM(E53:K53)-Q53","v":2.6400000000137425E-4},null,{"$f":"E53*X$2*(T1_VAT!M53/T1_VAT!D53)","v":1.881542915E-2},3.2404180000000001E-4,-1.2E-2,4.3320341999999994E-3,1.104233E-3,1.6609982399999997E-2,{"$f":"Y53-AG53","v":-4.7759582000000004E-3},-4.8151678832116795E-3,"CEQ Study",5.1000000000000004E-3,null,"CEQ  "]
["Estonia","ECA","HIC",null,9.0820000000000007,2.0190000000000001,5.5,3.9449999999999998,0.16600000000000001,0.92200000000000004,-0.53399999999999903,11.608000000000001,"OECD",2018,null,36.5,21.1,15.399999999999999,"2019 ARTICLE IV CONSULTATION, January 2020","20/12",2018,{"$f":"SUM(E54:K54)-Q54","v":0},null,{"$f":"E54*X$2*(T1_VAT!M54/T1_VAT!D54)","v":4.4501800000000001E-2},2.0190000000000003E-4,-4.9499999999999995E-3,1.0256999999999999E-2,2.1580000000000001E-4,8.3577600000000002E-2,{"$f":"X54+Y54+AA54+AB54-Source_OECDEU_incidence!I14","v":3.1176499999999982E-2},3.7036300000000036E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Eswatini","SSA","LMIC",null,4.4448050677861541,2.1250981808332958,4.9520019861869731,0.13321446305240825,8.7933191892745892,2.3292375750462693,0.82232353782031398,0,"National Budget",2019,"Used 2019/20 Budget for Revised 2018/19",24.8,23.6,1.1999999999999993,"2019 ARTICLE IV CONSULTATION, February 2020","20/41",2019,{"$f":"SUM(E55:L55)-Q55","v":0},null,{"$f":"E55*X$2*(T1_VAT!M55/T1_VAT!D55)","v":1.0889772416076077E-2},{"$f":"F55*Y$2","v":2.1250981808332959E-4},{"$f":"G55*Z$2","v":-4.456801787568276E-3},{"$f":"H55*AA$2","v":3.4635760393626145E-4},{"$f":"I55*AB$2","v":1.1431314946056965E-2},{"$f":"L55*AC$2","v":0},{"$f":"SUM(X55:AC55)","v":1.8423152996584358E-2},1.7138386648122388E-2,"MV",null,null,"MV"]
["Ethiopia","SSA","LIC",null,3.1236446873259083,2.1832007549200552,1.3911675869465532,1.5474913688231662,1.8346224831260967,0.89203354694943315,0.52783957190878705,0,"National Budget",2019,"Used 2018/19 Budget ",12.8,11.5,1.3000000000000007,"2019 ARTICLE IV CONSULTATION, January 2020","20/29",2019,{"$f":"SUM(E56:L56)-Q56","v":0},null,{"$f":"E56*X$2*(T1_VAT!M56/T1_VAT!D56)","v":0},2.1832007549200553E-4,-1.2520508282518978E-3,4.0234775589402319E-3,2.3850092280639254E-3,0,{"$f":"Y56-AG56","v":-1.1281679924507994E-2},-1.1231610216722886E-2,"CEQ Study",1.15E-2,null,"CEQ  "]
["Fiji","EAP","UMIC",null,7.4907795510347253,4.3162197474570325,1.394479130129779,1.6381243423360226,4.5093370747106283,6.1511039985969838,1.3999561557348299,0,"National Budget",2019,"Used 2019/20 Budget  for 2018/19 Revised figures",30.1,26.9,3.2000000000000028,"2018 ARTICLE IV CONSULTATION, February 2019","19/57",2019,{"$f":"SUM(E57:L57)-Q57","v":0},null,{"$f":"E57*X$2*(T1_VAT!M57/T1_VAT!D57)","v":3.6704819800070156E-2},4.3162197474570329E-4,-1.2550312171168011E-3,4.2591232900736587E-3,5.8621381971238166E-3,0,{"$f":"SUM(X57:AC57)","v":4.6002672044896525E-2},5.1972442853455682E-2,"MV",null,null,"MV"]
["Finland","ECA","HIC",null,9.2050000000000001,2.5579999999999998,12.308999999999999,3.6150000000000002,7.4999999999999997E-2,2.9920000000000004,-0.45399999999999702,11.911,"OECD",2018,null,52.2,30.3,21.900000000000002,"2019 ARTICLE IV CONSULTATION, January 2020","20/5",2018,{"$f":"SUM(E58:K58)-Q58","v":0},null,{"$f":"E58*X$2*(T1_VAT!M58/T1_VAT!D58)","v":3.5707729166666667E-2},2.5579999999999998E-4,-1.1078099999999999E-2,9.3989999999999994E-3,9.7499999999999998E-5,8.5759199999999994E-2,{"$f":"X58+Y58+AA58+AB58-Source_OECDEU_incidence!I15","v":-3.5399708333333224E-3},-4.3637916666666582E-3,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["France","ECA","HIC",null,{"$f":"0.0667107220262632*100","v":6.6710722026263198},{"$f":"0.0116242403637754*100","v":1.16242403637754},{"$f":"0.0331605116654626*100","v":3.3160511665462598},2.7370000000000001,0.12,8.3979999999999997,null,16.088000000000001,"OECD /Oxfam France",2018,null,53.5,{"$f":"30.1+18","v":48.1},5.3999999999999986,"2019 ARTICLE IV CONSULTATION, July 2019","19/245",2018,-9.6074525944498816,null,{"$f":"E59*X$2*(T1_VAT!M59/T1_VAT!D59)","v":2.0838761792953964E-2},1.16242403637754E-4,-2.9844460498916338E-3,7.1161999999999996E-3,1.56E-4,0.11583360000000001,{"$f":"X59+Y59+AA59+AB59-Source_OECDEU_incidence!I16","v":-6.7727958034083137E-3},-6.2957489971036222E-3,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Gambia, The","SSA","LIC",null,3.9130033528824693,1.4369646882043576,1.1164044540632674,1.7499041232604822,3.180963701402828,0.37304686185899949,0.12971281832759701,null,"National Budget",2019,"Gambia National Budget 2020",28.9,11.9,{"$f":"25.4-15.2","v":10.199999999999999},"REQUEST FOR A STAFF–MONITORED PROGRAM, May 2019","19/128",2019,0,null,{"$f":"E60*X$2*(T1_VAT!M60/T1_VAT!D60)","v":0},1.4369646882043578E-4,-1.0047640086569406E-3,4.5497507204772534E-3,4.1352528118236758E-3,0,{"$f":"SUM(X60:AC60)","v":7.8239359924644238E-3},8.6787301351265618E-3,"MV",null,null,"MV"]
["Georgia","ECA","UMIC",null,11.6,1.9,7.7,3,0.2,{"$f":"1.1+0.2","v":1.3},-0.19999999999999901,0,"IMF",2019,"IMF Country Report 19/372",28.6,25.5,{"$f":"P61-Q61","v":3.1000000000000014},"FIFTY REVIEW UNDER THE EXTENDED FUND FACILITY ARRANGEMENT AND REQUEST FOR MODIFICATIONS OF QUANTITATIVE PERFORMANCE CRITERIA, December 2019","19/372",2019,0,null,{"$f":"E61*X$2*(T1_VAT!M61/T1_VAT!D61)","v":5.6839999999999995E-2},1.9000000000000001E-4,-6.9300000000000004E-3,7.7999999999999996E-3,2.5999999999999998E-4,0,{"$f":"Y61-AG61","v":-3.9709999999999995E-2},-3.9709999999999995E-2,"CEQ Study",3.9899999999999998E-2,null,"CEQ  "]
["Germany","ECA","HIC",null,6.9539999999999997,2.1389999999999998,10.372999999999999,1.9530000000000001,0.14799999999999999,2.2280000000000002,-9.5000000000002402E-2,14.391,"OECD",2018,null,45.6,23.7,21.900000000000002,"2019 ARTICLE IV CONSULTATION, July 2019","19/213",2018,{"$f":"SUM(E62:K62)-Q62","v":0},null,{"$f":"E62*X$2*(T1_VAT!M62/T1_VAT!D62)","v":2.3314199999999997E-2},2.139E-4,-9.3356999999999989E-3,5.0778000000000004E-3,1.9239999999999999E-4,0.10361519999999999,{"$f":"X62+Y62+AA62+AB62-Source_OECDEU_incidence!I17","v":-2.82017E-2},-2.5856810526315784E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Ghana","SSA","LMIC",null,2.6723237375812947,3.2972047858536682,2.1842667180131223,1.1766582679767676,1.4761282090337191,1.3732148734204499,0.72020340812097805,0,"National Budget",2019,"Used 2020 Budget  for projected outturn 2019",14.5,12.9,1.5999999999999996,"2019 ARTICLE IV CONSULTATION, December 2019","19/367",2019,0,null,{"$f":"E63*X$2*(T1_VAT!M63/T1_VAT!D63)","v":0},3.2972047858536685E-4,-1.9658400462118099E-3,3.0593114967395955E-3,1.9189666717438349E-3,0,{"$f":"Y63-AG63","v":-1.3870279521414635E-2},-1.382348772641076E-2,"CEQ Study",1.4200000000000001E-2,null,"CEQ  "]
["Greece","ECA","HIC",null,8.125,1.948,6.1859999999999999,3.8149999999999999,0.14799999999999999,7.1789999999999994,-0.30099999999999799,11.512,"OECD",2017,null,48.3,{"$f":"17.1+10","v":27.1},21.199999999999996,"FIRST POST PROGRAM MONITORING DISCUSSIONS","19/73",2017,{"$f":"SUM(E64:K64)-Q64","v":0},null,{"$f":"E64*X$2*(T1_VAT!M64/T1_VAT!D64)","v":3.0688802083333334E-2},1.9479999999999999E-4,-5.5674000000000001E-3,9.918999999999999E-3,1.9239999999999999E-4,8.2886399999999999E-2,{"$f":"X64+Y64+AA64+AB64-Source_OECDEU_incidence!I18","v":-1.6004997916666659E-2},7.0980604166666905E-3,"Direct Tax OECD (2016) and OECD Incidence",null,null,"OECD"]
["Guatemala","LAC","UMIC",null,4.7128199999999998,2.4917739999999999,0.44410699999999997,0.81306800000000001,0.44179299999999999,1.409743,-0.113000000000001,2.0738539999999999,"OECD_Global",2017,null,10.8,10.199999999999999,0.60000000000000142,"2019 ARTICLE IV CONSULTATION, June 2019","19/168",2017,{"$f":"SUM(E65:K65)-Q65","v":3.0500000000088789E-4},null,{"$f":"E65*X$2*(T1_VAT!M65/T1_VAT!D65)","v":1.1546408999999999E-2},2.4917740000000003E-4,-3.9969629999999994E-4,2.1139767999999999E-3,5.7433089999999994E-4,1.4931748799999998E-2,{"$f":"Y65-AG65","v":-2.8508226E-3},-2.8231068908229052E-3,"CEQ Study",3.0999999999999999E-3,null,"CEQ  "]
["Guinea","SSA","LIC",null,4.3654383266544627,1.9954824609157591,1.1523169770555126,0.33163436859132706,3.2213819705193303,2.5021422215414808,0.43160367472212602,0,"National Budget",2019,"Used 2019 Budget ",14.6,14,0.59999999999999964,"THIRD REVIEW UNDER THE EXTENDED CREDIT FACILITY ARRANGEMENT, REQUEST FOR MODIFICATION OF PERFORMANCE CRITERION AND FINANCING ASSURANCES REVIEW, August 2019","19/275",2019,0,null,{"$f":"Source_CEQ_Incidence!D11","v":1.2999999999999999E-3},1.9954824609157593E-4,{"$f":"Source_CEQ_Incidence!C11","v":-2E-3},{"$f":"Source_CEQ_Incidence!E11","v":5.9999999999999995E-4},0,0,{"$f":"SUM(X66:AC66)","v":9.9548246091575696E-5},1.4382298129505587E-2,"CEQ Study 2019",null,null,"CEQ  "]
["Guinea-Bissau","SSA","LIC",null,2.9899999999999998,0.45999999999999996,0.69,0.69,2.5299999999999998,1.8399999999999999,null,0,"IMF",2016,"IMF Selected Issues Paper, Country Report No. 17/381",16.2,9.1999999999999993,{"$f":"16.2-9.2","v":7},"2017 ARTICLE IV CONSULTATION AND FOURTH REVIEW UNDER THE EXTENDED CREDIT FACILITY ARRANGEMENT, AND FINANCING ASSURANCES REVIEW, December 2017","17/380",2016,0,null,{"$f":"E67*X$2*(T1_VAT!M67/T1_VAT!D67)","v":7.3254999999999995E-3},4.6E-5,-6.2099999999999992E-4,1.7939999999999998E-3,3.2889999999999994E-3,0,{"$f":"SUM(X67:AC67)","v":1.18335E-2},1.18335E-2,"MV",null,null,"MV"]
["Guyana","LAC","UMIC",null,6.3742130115732722,6.1393406812569289,4.2635007244294014,5.3032313657400616,2.871796526258366,1.3388643762574863,-9.0946685515515199E-2,0,"National Budget",2019,"Used 2019 Budget ",28,26.2,{"$f":"P68-Q68","v":1.8000000000000007},"2019 ARTICLE IV CONSULTATION, September 2019","19/296",2019,0,null,{"$f":"E68*X$2*(T1_VAT!M68/T1_VAT!D68)","v":0},6.1393406812569292E-4,-3.837150651986461E-3,1.3788401550924159E-2,3.7333354841358754E-3,0,{"$f":"SUM(X68:AC68)","v":1.4298520451199268E-2},1.2694458282401146E-2,"MV",null,null,"MV"]
["Haiti","LAC","LIC",null,3.8403005377739468,1.2860005298397974,2.103667056202017,0.96952060767514636,4.6729449562344261,1.1742187314505641,0.853347580824103,0,"National Budget",2019,"Used 2018/19 Budget ",19.899999999999999,14.9,{"$f":"P69-Q69","v":4.9999999999999982},"REQUEST FOR DISBURSEMENT UNDER THE RAPID CREDIT FACILITY, February 2017","17/38",2019,0,null,{"$f":"E69*X$2*(T1_VAT!M69/T1_VAT!D69)","v":1.8817472635092338E-2},1.2860005298397973E-4,-1.8933003505818152E-3,2.5207535799553803E-3,6.0748284431047534E-3,0,{"$f":"SUM(X69:AC69)","v":2.564835436055464E-2},2.4313804370704694E-2,"MV",null,null,"MV"]
["Honduras","LAC","LMIC",null,7.2685560000000002,4.0182859999999998,2.106452,3.0395880000000002,0.80114999999999992,2.3704910000000003,-0.90499999999999803,3.2200980000000001,"OECD_Global",2017,null,31.9,18.7,{"$f":"P70-Q70","v":13.2},"FIRST REVIEWS UNDER THE STAND-BY ARRANGEMENT AND THE ARRANGEMENT UNDER THE STANDBY CREDIT FACILITY, AND REQUEST FOR MODIFICATION OF PERFORMANCE CRITERIA, December 2019","19/377",2017,{"$f":"SUM(E70:K70)-Q70","v":-4.76999999996508E-4},null,{"$f":"E70*X$2*(T1_VAT!M70/T1_VAT!D70)","v":1.7807962199999999E-2},4.018286E-4,-6.6000000000000003E-2,7.9029288000000003E-3,1.0414949999999999E-3,2.3184705600000001E-2,{"$f":"Y70-AG70","v":-8.1981714000000008E-3},-8.204294886450237E-3,"CEQ Study",8.6E-3,null,"CEQ  "]
["Hong Kong SAR, China","EAP","HIC",null,0,5.7030439397969435,2.0573405809231469,0.36407849113751767,0,2.9632676730177212,null,0,"National Budget",2019,null,20.7,12.8,{"$f":"P71-Q71","v":7.8999999999999986},"2019 ARTICLE IV CONSULTATION, December 2019","19/394",2019,{"$f":"SUM(E71:K71)-Q71","v":-1.7122693151246704},null,0,{"$f":"F71*Y$2","v":5.7030439397969435E-4},-1.8516065228308322E-3,{"$f":"H71*AA$2","v":9.4660407695754589E-4},{"$f":"I71*AB$2","v":0},{"$f":"L71*AC$2","v":0},{"$f":"SUM(X71:AC71)","v":-3.3469805189359199E-4},null,"MV"]
["Hungary","ECA","HIC",null,11.427,1.1659999999999999,5.1749999999999998,2.9910000000000001,0.188,3.4870000000000001,0.66600000000000403,12.118,"OECD",2018,null,44.4,25.1,{"$f":"P72-Q72","v":19.299999999999997},"2019 ARTICLE IV CONSULTATION, December 2019","19/357",2018,{"$f":"SUM(E72:K72)-Q72","v":0},null,{"$f":"E72*X$2*(T1_VAT!M72/T1_VAT!D72)","v":4.666025E-2},1.166E-4,-4.6574999999999993E-3,7.7765999999999998E-3,2.4439999999999998E-4,8.7249599999999997E-2,{"$f":"X72+Y72+AA72+AB72-Source_OECDEU_incidence!I19","v":1.9797849999999971E-2},7.8431333333333353E-3,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Iceland","ECA","HIC",null,8.3439999999999994,2.5379999999999998,14.512,2.4609999999999999,0.151,5.1860000000000008,0.20799999999999799,3.5,"OECD",2018,null,42.8,33.4,{"$f":"P73-Q73","v":9.3999999999999986},"2019 ARTICLE IV CONSULTATION, December 2019","19/375",2018,{"$f":"SUM(E73:K73)-Q73","v":0},null,{"$f":"E73*X$2*(T1_VAT!M73/T1_VAT!D73)","v":2.9812416666666661E-2},{"$f":"F73*Y$2","v":2.5379999999999999E-4},-1.3060800000000001E-2,6.3985999999999991E-3,1.9629999999999997E-4,2.52E-2,{"$f":"X73+Y73+AA73+AB73-Source_OECDEU_incidence!I20","v":4.661116666666687E-3},5.4553125000001562E-4,"Direct Tax OECD (2015) and OECD Incidence",null,null,"OECD"]
["India","SA","LMIC",null,7.2021108536693648,2.9715061699162639,2.5064950114799425,1.9630983195261731,0.53831633512975796,1.7572742794029352,0.161199030875565,0,"National Budget",2019,"Used 2019/20 Reserve Bank of India States Report + Union Budget  2018/19",19.8,17.100000000000001,{"$f":"P74-Q74","v":2.6999999999999993},"2019 ARTICLE IV CONSULTATION, December 2019","19/385",2019,0,null,{"$f":"E74*X$2*(T1_VAT!M74/T1_VAT!D74)","v":0},2.971506169916264E-4,-2.255845510331948E-3,5.1040556307680495E-3,6.9981123566868536E-4,0,{"$f":"SUM(X74:AC74)","v":3.8451719730964134E-3},3.2433853228506122E-2,"MV",null,"MV confirmed by OECD for 2011","MV"]
["Indonesia","EAP","LMIC",null,3.5376539999999999,2.5896699999999999,2.1700849999999998,1.1280479999999999,0.28857300000000002,1.415195,-2.9225000000000299E-2,0.40033999999999997,"OECD_Global",2017,null,14.1,11.1,3,"2019 ARTICLE IV CONSULTATION, July 2019","19/250",2017,{"$f":"SUM(E75:K75)-Q75","v":0},null,{"$f":"E75*X$2*(T1_VAT!M75/T1_VAT!D75)","v":0},2.5896700000000003E-4,-1.9530764999999997E-3,2.9329247999999998E-3,3.7514490000000003E-4,2.8824479999999997E-3,{"$f":"Y75-AG75","v":-1.1410330000000001E-3},-1.1316193220109313E-3,"CEQ Study",1.4E-3,null,"CEQ  "]
["Ireland","ECA","HIC",null,4.3620000000000001,3.21,6.6840000000000002,1.6930000000000001,0.1,2.4820000000000002,0.46900000000000103,3.7850000000000001,"OECD",2018,null,25.8,19,6.8000000000000007,"2019 ARTICLE IV CONSULTATION, June 2019","19/164",2018,{"$f":"SUM(E76:K76)-Q76","v":0},null,{"$f":"E76*X$2*(T1_VAT!M76/T1_VAT!D76)","v":1.0686899999999999E-2},3.21E-4,-6.0156000000000003E-3,4.4018E-3,1.2999999999999999E-4,{"$f":"L76*AC$2","v":2.7252000000000002E-2},{"$f":"X76+Y76+AA76+AB76-Source_OECDEU_incidence!I21","v":-6.9460300000000016E-2},-5.0729350000000006E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Israel",null,"HIC",null,8.91,3.0910000000000002,6.18,1.423,0.21,6.0750000000000002,-0.189000000000004,5.1989999999999998,"OECD",2018,null,36.700000000000003,25.7,11.000000000000004,"2018 ARTICLE IV CONSULTATION, May 2018","18/111",2018,0,null,{"$f":"E77*X$2*(T1_VAT!M77/T1_VAT!D77)","v":4.3658999999999996E-2},3.0910000000000003E-4,-5.5619999999999992E-3,3.6998000000000001E-3,2.7299999999999997E-4,3.7432799999999995E-2,{"$f":"X77+Y77+AA77+AB77-Source_OECDEU_incidence!I22","v":-2.0591000000000428E-3},1.7153999999999642E-3,"Direct Tax OECD (2018) and OECD Incidence",null,null,"OECD"]
["Italy","ECA","HIC",null,6.19,1.86,10.7,2.63,0,7.3010000000000002,1.9000000000001901E-2,13.05,"Italian National Institute of Statistics (ISTAT)",2018,null,46.2,28.7,17.500000000000004,"2018 ARTICLE IV CONSULTATION, February 2019","19/40",2018,0,null,{"$f":"E78*X$2*(T1_VAT!M78/T1_VAT!D78)","v":1.7922863636363636E-2},1.8600000000000002E-4,-9.6299999999999997E-3,6.8379999999999995E-3,0,9.3960000000000002E-2,{"$f":"X78+Y78+AA78+AB78-Source_OECDEU_incidence!I23","v":-1.8053136363636348E-2},-1.4057281818181794E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Jamaica","LAC","UMIC",null,8.8605929999999997,3.2362310000000001,3.1785070000000002,3.9588930000000002,1.9889969999999999,5.0141490000000006,-0.53737000000000301,1.014545,"OECD_Global",2017,null,28,25.7,2.3000000000000007,"SIXTH REVIEW UNDER THE STAND-BY ARRANGEMENT, November 2019","19/338",2017,0,null,{"$f":"E79*X$2*(T1_VAT!M79/T1_VAT!D79)","v":2.1708452849999997E-2},3.2362310000000002E-4,-2.8606563000000002E-3,1.0293121800000001E-2,2.5856960999999998E-3,7.3047240000000003E-3,{"$f":"SUM(X79:AC79)","v":3.9354961549999998E-2},3.5735420541350156E-2,"MV",null,null,"MV"]
["Japan","EAP","HIC",null,4.0640000000000001,3.714,5.9039999999999999,1.871,0.187,3.1069999999999998,-0.34700000000000097,12.523,"OECD",2017,null,33.200000000000003,18.5,14.700000000000003,"2018 ARTICLE IV CONSULTATION, November 2018","18/333",2017,0,null,{"$f":"E80*X$2*(T1_VAT!M80/T1_VAT!D80)","v":1.99136E-2},3.7140000000000003E-4,-5.3135999999999999E-3,4.8646000000000002E-3,2.431E-4,9.0165599999999999E-2,{"$f":"X80+Y80+AA80+AB80-Source_OECDEU_incidence!I24","v":1.3927000000000349E-3},3.3500000000000335E-3,"Direct Tax OECD (2015) and OECD Incidence",null,null,"OECD"]
["Jordan","MENA","UMIC",null,11.528034995849032,2.6174021329586816,1.1759339676863145,0,1.1654639504438342,0.35123571109266238,-3.8070758030524801E-2,0,"National Budget",2019,"Used 2019 Budget",25.6,16.8,8.8000000000000007,"SECOND REVIEW UNDER THE EXTENDED\nARRANGEMENT UNDER THE EXTENDED FUND FACILITY, REQUESTS FOR A WAIVER OF NONOBSERVANCE OF PERFORMANCE CRITERION, AN EXTENSION OF THE ARRANGEMENT, AND REPHASING OF ACCESS, May 2019","19/127",2019,{"$f":"SUM(E81:L81)-Q81","v":0},null,{"$f":"E81*X$2*(T1_VAT!M81/T1_VAT!D81)","v":1.7652303587393829E-2},2.6174021329586816E-4,-1.058340570917683E-3,0,1.5151031355769844E-3,0,{"$f":"Y81-AG81","v":-9.2382597867041311E-3},-9.2134328514196125E-3,"CEQ Study",9.4999999999999998E-3,null,"CEQ  "]
["Kazakhstan","ECA","UMIC",null,3.134951,4.4795429999999996,1.4127940000000001,0.48208699999999999,2.7339990000000003,3.5945520000000002,-0.16623100000000299,0.52830500000000002,"OECD_Global",2017,null,19.8,16.2,3.6000000000000014,"2019 ARTICLE IV CONSULTATION, January 2020","20/32",2017,0,null,{"$f":"E82*X$2*(T1_VAT!M82/T1_VAT!D82)","v":7.6806299500000001E-3},4.4795429999999997E-4,-1.2715146000000001E-3,1.2534261999999998E-3,3.5541987000000004E-3,3.8037959999999999E-3,{"$f":"SUM(X82:AC82)","v":1.546849055E-2},1.3580076197773933E-2,"MV",null,null,"MV"]
["Kenya","SSA","LMIC",null,5,4.2,4.8,2.4,1.3,0,null,0,"IMF",2019,"IMF Country Report 18/295",20.8,17.7,3.1000000000000014,"2018 ARTICLE IV CONSULTATION, October 2018","18/295",2019,0,null,{"$f":"Source_CEQ_Incidence!D12","v":-5.0000000000000001E-3},4.2000000000000002E-4,{"$f":"Source_CEQ_Incidence!C12","v":-2.1999999999999999E-2},{"$f":"Source_CEQ_Incidence!E12","v":-3.0000000000000001E-3},0,0,{"$f":"SUM(X83:AC83)","v":-2.9579999999999999E-2},3.79E-3,"CEQ Study 2018",null,null,"CEQ  "]
["Kiribati","EAP","LMIC",null,6.7214448669201525,4.2953612167300381,3.8180988593155893,2.9828897338403042,0,0,0.182205323193912,0,"National Budget",2019,"Used 2019 Budget ",72,18,54,"2018 ARTICLE IV CONSULTATION, January 2019","19/26",2019,{"$f":"SUM(E84:K84)-Q84","v":0},null,{"$f":"E84*X$2*(T1_VAT!M84/T1_VAT!D84)","v":0},4.2953612167300381E-4,-3.4362889733840305E-3,7.7555133079847908E-3,0,0,{"$f":"SUM(X84:AC84)","v":4.7487604562737639E-3},4.9805447470817124E-3,"MV",null,null,"MV"]
["Korea, Rep.","EAP","HIC",null,4.3470000000000004,4.4720000000000004,4.2220000000000004,2.032,0.51700000000000002,5.6129999999999987,null,7.2190000000000003,"OECD",2018,null,24.2,16.5,7.6999999999999993,"2019 ARTICLE IV CONSULTATION, May 2019","19/132",2018,{"$f":"SUM(E85:J85)-Q85","v":4.7029999999999994},"IMF is Central Govt only - assume difference is regions",{"$f":"E85*X$2*(T1_VAT!M85/T1_VAT!D85)","v":1.0650150000000001E-2},4.4720000000000008E-4,-3.7998000000000003E-3,5.2832E-3,6.7210000000000002E-4,5.1976800000000004E-2,{"$f":"Y85-AG85","v":-7.5528000000000001E-3},-7.6408999999999999E-3,"OECD stats",8.0000000000000002E-3,null,"OECD"]
["Kosovo","ECA","UMIC",null,12.710674157303369,1.2780898876404494,2.2893258426966292,6.5308988764044953,1.6853932584269662,-0.18258426966292135,-1.17977528089881E-2,0,"National Budget",2019,"Used 2019 Budget ",27.2,24.3,2.8999999999999986,"2018 ARTICLE IV CONSULTATION, December 2018","18/368",2019,{"$f":"SUM(E86:L86)-Q86","v":0},null,{"$f":"E86*X$2*(T1_VAT!M86/T1_VAT!D86)","v":4.4981663545568033E-2},1.2780898876404496E-4,-2.0603932584269662E-3,1.6980337078651687E-2,2.1910112359550559E-3,0,{"$f":"SUM(X86:AC86)","v":6.222042759051185E-2},5.8964591345320998E-2,"MV",null,null,"MV"]
["Kyrgyz Republic","ECA","LMIC",null,10.3,1.9,2.1,2.2000000000000002,3.3,{"$f":"0.7+0.5+0.8","v":2},9.9999999999997896E-2,0,"IMF",2019,"IMF Country Report 19/208",28.7,21.9,6.8000000000000007,"2019 ARTICLE IV CONSULTATION, July 2019","19/208",2019,{"$f":"SUM(E87:K87)-Q87","v":0},null,{"$f":"E87*X$2*(T1_VAT!M87/T1_VAT!D87)","v":0},1.9000000000000001E-4,-1.89E-3,5.7200000000000003E-3,4.2899999999999995E-3,0,{"$f":"SUM(X87:AC87)","v":8.3099999999999997E-3},4.7479999999999994E-2,"MV",null,null,"MV"]
["Lao PDR","EAP","LMIC",null,3.8799565183411606,1.4628878357927941,0.88597432308577684,3.0231120647393586,0.97762683926706406,1.1175923097144562,0.65285010905939,0,"ICTD",2017,null,16.100000000000001,12,4.1000000000000014,"2019 ARTICLE IV CONSULTATION, August 2019","19/267",2017,{"$f":"SUM(E88:L88)-Q88","v":0},null,{"$f":"E88*X$2*(T1_VAT!M88/T1_VAT!D88)","v":0},1.4628878357927943E-4,-7.973768907771991E-4,7.8600913683223323E-3,1.2709148910471832E-3,0,{"$f":"SUM(X88:AC88)","v":8.479918152171596E-3},9.3248969700515886E-3,"MV",null,null,"MV"]
["Latvia","ECA","HIC",null,8.3000000000000007,1,5.9,3.5,0,{"$f":"0.8+0.9","v":1.7000000000000002},-0.100000000000001,8.6,"OECD",2018,"IMF Country Report 19/264",36.9,{"$f":"20.3+8.6","v":28.9},8,"2019 ARTICLE IV CONSULTATION, August 2019","19/264",2018,0,null,{"$f":"E89*X$2*(T1_VAT!M89/T1_VAT!D89)","v":2.517666666666667E-2},1E-4,-5.3100000000000005E-3,9.1000000000000004E-3,0,6.1919999999999996E-2,{"$f":"X89+Y89+AA89+AB89-Source_OECDEU_incidence!I26","v":6.3766666666666416E-3},2.0351799999999975E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Lebanon","MENA","UMIC",null,4.350407484991762,1.5375177129344875,0.98551796502092293,1.6480422559207861,0.84400817523015637,5.0926885441960774,1.24181786170581,0,"National Budget",2019,"Lebanon Public Finance Monitor Report, December 2019",21.5,15.7,5.8000000000000007,"2019 ARTICLE IV CONSULTATION, October 2019","19/312",2019,{"$f":"SUM(E90:L90)-Q90","v":0},null,{"$f":"E90*X$2*(T1_VAT!M90/T1_VAT!D90)","v":1.0658498338229816E-2},1.5375177129344875E-4,-8.8696616851883061E-4,4.2849098653940437E-3,1.0972106277992032E-3,0,{"$f":"SUM(X90:AC90)","v":1.5307404434197681E-2},1.7335320919846537E-2,"MV",null,null,"MV"]
["Lesotho","SSA","LMIC",null,7.5780480664306813,2.7141830569824075,5.6686982673728474,0.67096695765576342,0,2.3433736752455219,-0.175270023687222,0,"National Budget",2019,"Used 2019/20 Budget for Revised 2018/19",41.3,18.8,22.499999999999996,"2019 ARTICLE IV CONSULTATION, April 2019","19/113",2019,0,null,{"$f":"E91*X$2*(T1_VAT!M91/T1_VAT!D91)","v":0},2.7141830569824075E-4,-5.1018284406355629E-3,1.7445140899049849E-3,0,0,{"$f":"SUM(X91:AC91)","v":-3.0858960450323371E-3},-7.0913046939262881E-4,"MV",null,null,"MV"]
["Liberia","SSA","LIC",null,1.2975481067659838,4.6228119180633147,0.36421477343265052,0.27507759155803851,5.1173184357541901,0.3910304158907511,-0.66800124146492801,0,"National Budget",2019,"Used 2018/19 Report",28,11.4,16.600000000000001,"2019 ARTICLE IV CONSULTATION, June 2019","19/169",2019,{"$f":"SUM(E92:K92)-Q92","v":0},null,{"$f":"E92*X$2*(T1_VAT!M92/T1_VAT!D92)","v":3.1789928615766601E-3},4.6228119180633149E-4,-3.2779329608938548E-4,7.1520173805090007E-4,6.6525139664804465E-3,0,{"$f":"SUM(X92:AC92)","v":1.0681196461824954E-2},1.3068252404947321E-2,"MV",null,null,"MV"]
["Lithuania","ECA","HIC",null,7.8019999999999996,1.5309999999999999,3.8849999999999998,3.2,0.25800000000000001,0.84299999999999997,-0.218999999999998,12.742000000000001,"OECD",2018,null,34.700000000000003,17.3,17.400000000000002,"2019 ARTICLE IV CONSULTATION, July 2019","19/252",2018,0,null,{"$f":"E93*X$2*(T1_VAT!M93/T1_VAT!D93)","v":3.8229799999999994E-2},1.5310000000000001E-4,-3.4964999999999996E-3,8.3199999999999993E-3,3.3539999999999997E-4,9.1742400000000002E-2,{"$f":"X93+Y93+AA93+AB93-Source_OECDEU_incidence!I27","v":2.703829999999998E-2},1.3959999999999993E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Luxembourg","ECA","HIC",null,6.3330000000000002,5.9349999999999996,9.5109999999999992,2.6440000000000001,0,4.6680000000000001,-0.29099999999999998,10.964,"OECD",2018,null,45.5,28.8,{"$f":"P94-Q94","v":16.7},"2019 ARTICLE IV CONSULTATION, May 2019","19/130",2018,0,null,{"$f":"E94*X$2*(T1_VAT!M94/T1_VAT!D94)","v":1.8253941176470587E-2},5.9349999999999995E-4,-8.5598999999999988E-3,6.8744000000000001E-3,0,7.8940800000000005E-2,{"$f":"X94+Y94+AA94+AB94-Source_OECDEU_incidence!I28","v":1.9721841176470582E-2},-6.6595705882353216E-3,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Madagascar","SSA","LIC",null,5.7417160000000003,1.4781,1.2058329999999999,1.078055,1.759096,0.26049300000000003,-0.123292999999999,0.41194900000000001,"OECD_Global",2017,null,11.7,11.4,{"$f":"P95-Q95","v":0.29999999999999893},"SECOND REVIEW UNDER THE EXTENDED CREDIT FACILITY ARRANGEMENT AND REQUEST FOR MODIFICATION OF PERFORMANCE CRITERIA, December 2017","17/385",2017,0,null,{"$f":"E95*X$2*(T1_VAT!M95/T1_VAT!D95)","v":1.4067204200000001E-2},1.4781000000000001E-4,-1.0852497E-3,2.802943E-3,2.2868248000000001E-3,2.9660327999999998E-3,{"$f":"SUM(X95:AC95)","v":2.1185565100000001E-2},1.2871E-2,"MV",null,null,"MV"]
["Malawi","SSA","LIC",null,5.0809301974289882,2.7998885437399643,5.3303656368844692,2.1981200314745699,1.5580582823065658,0.13099110485164722,0.30164620331379399,0,"National Budget",2019,"Used 2018/19 Report",21.2,17.399999999999999,{"$f":"P96-Q96","v":3.8000000000000007},"SECOND AND THIRD REVIEWS UNDER THE THREEYEAR EXTENDED CREDIT FACILITY ARRANGEMENT AND REQUESTS FOR WAIVERS OF NONOBSERVANCE OF PERFORMANCE CRITERIA AND AUGMENTATION OF ACCESS, December 2019","19/361",2019,0,null,{"$f":"E96*X$2*(T1_VAT!M96/T1_VAT!D96)","v":0},2.7998885437399647E-4,-4.7973290731960225E-3,5.7151120818338813E-3,2.0254757669985355E-3,0,{"$f":"SUM(X96:AC96)","v":3.2232476300103905E-3},-7.4253885273430206E-4,"MV",null,null,"MV"]
["Malaysia","EAP","UMIC",null,3.2760229999999999,5.6322609999999997,2.1387529999999999,0.74713200000000002,0.30581000000000003,1.198315,-0.198293999999999,0.26311699999999999,"OECD_Global",2017,null,16.3,13.1,3.2000000000000011,"2019 ARTICLE IV CONSULTATION, March 2019","19/71",2017,0,null,{"$f":"E97*X$2*(T1_VAT!M97/T1_VAT!D97)","v":0},5.6322610000000004E-4,-1.9248776999999998E-3,1.9425432E-3,3.9755300000000003E-4,1.8944423999999998E-3,{"$f":"SUM(X97:AC97)","v":2.8728870000000002E-3},3.5030307534624221E-3,"MV",null,null,"MV"]
["Maldives","SA","UMIC",null,3.3,3.2,{"$f":"0","v":0},0,3.5,{"$f":"0.8+0.1+5.6+1+0.8","v":8.3000000000000007},null,0,"IMF",2019,"IMF Country Report 19/156",25.9,18.3,7.5999999999999979,"2019 ARTICLE IV CONSULTATION, June 2019","19/156",2019,{"$f":"SUM(E98:J98)-Q98","v":0},null,{"$f":"E98*X$2*(T1_VAT!M98/T1_VAT!D98)","v":8.0849999999999984E-3},3.2000000000000003E-4,0,0,4.5500000000000002E-3,0,{"$f":"SUM(X98:AC98)","v":1.2955E-2},1.4064999999999999E-2,"MV",null,null,"MV"]
["Mali","SSA","LIC",null,5.6833772005621794,3.3510822841214276,1.0896704250856803,1.3411087155767019,1.8226855516524556,2.3428428381595081,-3.0767015157953999E-2,0,"National Budget",2019,"Used 2019 Budget",17.7,15.6,2.0999999999999996,"REQUEST FOR THREE-YEAR ARRANGEMENT UNDER THE EXTENDED CREDIT FACILITY, September 2019","19/289",2019,{"$f":"SUM(E99:L99)-Q99","v":0},null,{"$f":"Source_CEQ_Incidence!D13","v":-4.4999999999999997E-3},3.351082284121428E-4,{"$f":"Source_CEQ_Incidence!C13","v":-5.1000000000000004E-3},{"$f":"Source_CEQ_Incidence!E13","v":-1.6999999999999999E-3},0,0,{"$f":"SUM(X99:AC99)","v":-1.0964891771587857E-2},1.9293259495164485E-3,"CEQ Study 2019",null,null,"CEQ  "]
["Malta","ECA","HIC",null,7.6335877862595423,6.6839121405327742,6.8827116974235398,2.3220467084876426,0.15871816189252513,3.0426271634797066,-0.32360365807573299,8.0417202025546075,"National Budget",2019,"Used 2020 Budget for Revised 2019",37.5,26.4,11.100000000000001,"2017 ARTICLE IV CONSULTATION, January 2018","19/68",2019,{"$f":"SUM(E100:K100)-Q100","v":0},null,{"$f":"E100*X$2*(T1_VAT!M100/T1_VAT!D100)","v":1.8702290076335878E-2},6.6839121405327744E-4,-6.1944405276811859E-3,6.0373214420678702E-3,2.0633361046028267E-4,5.7900385458393169E-2,{"$f":"X100+Y100+AA100+AB100-AG100","v":-1.1385663657082691E-2},-2.8590000000000004E-3,"EU (2015)",3.6999999999999998E-2,null,"EU  "]
["Mauritania","SSA","LMIC",null,6.2848058556103714,2.8451718477512622,2.0695013978124521,1.6683933154543369,3.064940722043751,2.1992947271301819,-0.160306398716518,0,"National Budget",2019,"Used 2019 Budget ",31,{"$f":"377.3/2099.4*100","v":17.971801467085836},13.028198532914164,"THIRD REVIEW UNDER THE EXTENDED CREDIT FACILITY ARRANGEMENT, May 2019","19/145",2019,{"$f":"SUM(E101:K101)-Q101","v":0},null,{"$f":"E101*X$2*(T1_VAT!M101/T1_VAT!D101)","v":1.539777434624541E-2},2.8451718477512622E-4,-1.8625512580312069E-3,4.337822620181276E-3,3.9844229386568758E-3,0,{"$f":"SUM(X101:AC101)","v":2.2141985831827485E-2},2.2404770899333192E-2,"MV",null,null,"MV"]
["Mauritius","SSA","UMIC",null,7.2,2.9,2,4.2,0.3,3.3,-0.100000000000001,0.3,"IMF",2019,"IMF Country Report 19/108",23.3,19.8,3.5,"2019 ARTICLE IV CONSULTATION, April 2019","19/108",2019,{"$f":"SUM(E102:K102)-Q102","v":0},null,{"$f":"E102*X$2*(T1_VAT!M102/T1_VAT!D102)","v":0},2.9E-4,-1.8E-3,1.0919999999999999E-2,3.8999999999999999E-4,2.16E-3,{"$f":"SUM(X102:AC102)","v":1.1959999999999998E-2},1.132E-2,"MV",null,null,"MV"]
["Mexico","LAC","UMIC",null,3.7229999999999999,3.5089999999999999,3.44,1.7270000000000001,0.245,1.3120000000000003,-0.95599999999999996,2.1339999999999999,"OECD",2017,null,23.5,13,10.5,"ARRANGEMENT UNDER THE FLEXIBLE CREDIT LINE AND CANCELLATION OF CURRENT ARRANGEMENT, November 2019","19/354",2017,{"$f":"SUM(E103:K103)-Q103","v":0},null,{"$f":"E103*X$2*(T1_VAT!M103/T1_VAT!D103)","v":9.1213499999999986E-3},3.5090000000000002E-4,-1.2E-2,4.4901999999999997E-3,3.1849999999999999E-4,1.53648E-2,{"$f":"Y103-AG103","v":-7.6490999999999998E-3},-7.6744000000000005E-3,"CEQ Study",8.0000000000000002E-3,null,"CEQ  "]
["Moldova","ECA","LMIC",null,11,2.9,2.4,3.7,1,{"$f":"0.3+1","v":1.3},0.100000000000001,{"$f":"7.8+2.4","v":10.199999999999999},"IMF",2019,"IMF Country Report 18/205",34.9,32.6,2.2999999999999972,"THIRD REVIEWS UNDER THE EXTENDED CREDIT FACILITY AND EXTENDED FUND FACILITY ARRANGEMENTS AND REQUEST FOR MODIFICATION OF PERFORMANCE CRITERIA, July 2018","18/205",2019,0,null,{"$f":"E104*X$2*(T1_VAT!M104/T1_VAT!D104)","v":1.8325999999999999E-2},2.9E-4,-2.16E-3,9.6200000000000001E-3,1.2999999999999999E-3,7.3439999999999991E-2,{"$f":"SUM(X104:AC104)","v":0.10081599999999999},0.10169579999999999,"MV",null,null,"MV"]
["Mongolia","EAP","LMIC",null,6.6,4,2.5,2.2999999999999998,2.1,5.3,-0.19999999999999901,5.0999999999999996,"IMF",2019,"IMF Country Report 19/297",30.9,27.7,3.1999999999999993,"2019 ARTICLE IV CONSULTATION, September 2019","19/297",2019,{"$f":"SUM(E105:L105)-Q105","v":0},null,{"$f":"Source_CEQ_Incidence!D14","v":8.0000000000000002E-3},4.0000000000000002E-4,{"$f":"Source_CEQ_Incidence!C14","v":-1.0999999999999999E-2},{"$f":"Source_CEQ_Incidence!E14","v":0},0,3.6719999999999996E-2,3.4119999999999998E-2,5.4859999999999999E-2,"CEQ Study 2018",null,null,"CEQ  "]
["Montenegro","ECA","UMIC",null,13.6,1.4,3.5,4.9000000000000004,0.6,{"$f":"0.4+2.1+0.2","v":2.7},-9.9999999999997896E-2,10.1,"IMF",2019,"IMF Country Report 19/293",41.8,26.6,15.199999999999996,"2019 ARTICLE IV CONSULTATION, September 2019","19/293",2019,{"$f":"SUM(E106:K106)-Q106","v":0},null,{"$f":"E106*X$2*(T1_VAT!M106/T1_VAT!D106)","v":4.4426666666666656E-2},{"$f":"F106*Y$2","v":1.3999999999999999E-4},-3.15E-3,1.274E-2,7.7999999999999999E-4,7.2719999999999993E-2,{"$f":"SUM(X106:AC106)","v":0.12765666666666664},null,null,null,null,"NONE"]
["Morocco","MENA","LMIC",null,7.6628939999999997,4.8535329999999997,3.7745519999999999,2.6069399999999998,0.80974599999999997,2.587262,-0.49492700000000101,5.3179869999999996,"OECD_Global",2017,"Budget Law 2016 checked - insufficient",26.6,21.8,4.8000000000000007,"SECOND REVIEW UNDE THE ARRANGEMENT UNDER THE PRECAUTIONARY AND LIQUIDITY LINE, January 2020","20/14",2017,{"$f":"SUM(E107:K107)-Q107","v":0},null,{"$f":"E107*X$2*(T1_VAT!M107/T1_VAT!D107)","v":1.8774090299999997E-2},4.8535329999999999E-4,-3.3970967999999999E-3,6.7780439999999996E-3,1.0526697999999998E-3,3.8289506399999999E-2,6.1982567000000002E-2,5.5173164335575856E-2,"MV",null,null,"MV"]
["Mozambique","SSA","LIC",null,8.4549376987368561,6.8293108648626362,3.8629777604938873,0,1.7562182377688003,1.3321111626574966,null,0,"National Budget",2019,"Used 2019 Budget ",24,20,4,"2019 ARTICLE IV CONSULTATION, June 2019","19/166",2019,{"$f":"SUM(E108:L108)-Q108","v":2.2355557245196778},"Unable to reconcile IMF revenue numbers and Moz budget numbers",{"$f":"E108*X$2*(T1_VAT!M108/T1_VAT!D108)","v":2.0714597361905295E-2},6.8293108648626369E-4,-3.4766799844444985E-3,0,2.2830837090994402E-3,0,2.0203932173046502E-2,2.353368552247273E-2,"MV",null,null,"MV"]
["Myanmar","EAP","LMIC",null,2.4776224028499034,1.720878008579815,0.47735299415468757,1.6727225746970724,0.65703047966684225,1.030659272220968,-4.7367707784550503E-2,0.11110197561526303,"National Budget",2018,"Used 2018 Budget ",18.2,8.1,10.1,"2017 ARTICLE IV CONSULTATION, March 2018","18/90",2018,0,null,{"$f":"E109*X$2*(T1_VAT!M109/T1_VAT!D109)","v":0},1.7208780085798151E-4,-4.2961769473921882E-4,4.3490786942123882E-3,8.5413962356689491E-4,7.9993422442989381E-4,5.7456226483279388E-3,1.0749708651313313E-3,"MV",null,null,"MV"]
["Namibia","SSA","UMIC",null,6.8,3.6,7,0,8.9,0.7,null,0,"IMF",2019,"IMF Country Report 19/295",28.7,27,1.6999999999999993,"2019 ARTICLE IV CONSULTATION STAFF REPORT, September 2019","19/295",2019,{"$f":"SUM(E110:L110)-Q110","v":0},null,{"$f":"E110*X$2*(T1_VAT!M110/T1_VAT!D110)","v":1.6659999999999998E-2},3.6000000000000002E-4,-6.3E-3,0,1.157E-2,0,{"$f":"Y110-AG110","v":-1.064E-2},-1.0529999999999999E-2,"CEQ Study",1.0999999999999999E-2,null,"CEQ  "]
["Nepal","SA","LIC",null,7.2419023767730391,3.1965387714006708,1.30569961946345,3.605000001443285,4.3758701205056463,2.5196496050161663,null,0.18099372488503512,"National Budget",2019,"Used 2019/20 Budget  (revised for 2018/19)",28,24,4,"2018 ARTICLE IV CONSULTATION, February 2019","19/60",2019,-1.5743457805127079,"IMF cr GDP & IMF WEO GDP differ explaing majority of diff",{"$f":"E111*X$2*(T1_VAT!M111/T1_VAT!D111)","v":0},3.1965387714006711E-4,-1.175129657517105E-3,9.3730000037525411E-3,5.6886311566573403E-3,1.3031548191722528E-3,1.5509310199205097E-2,1.3275289173656545E-2,"MV",null,null,"MV"]
["Netherlands","ECA","HIC",null,6.798,3.4889999999999999,7.9530000000000003,2.7120000000000002,0.32300000000000001,3.5259999999999998,-0.40100000000000002,13.952999999999999,"OECD",2018,null,43.6,24.4,19.200000000000003,"2019 ARTICLE IV CONSULTATION, February 2019","19/44",2018,{"$f":"SUM(E112:K112)-Q112","v":0},null,{"$f":"E112*X$2*(T1_VAT!M112/T1_VAT!D112)","v":2.3792999999999998E-2},3.4890000000000002E-4,-7.1577000000000003E-3,7.0512000000000005E-3,4.1990000000000001E-4,0.1004616,{"$f":"X112+Y112+AA112+AB112-Source_OECDEU_incidence!I32","v":-1.7387000000000048E-2},-1.3200749999999976E-2,"Direct Tax OECD (2016) and OECD Incidence",null,null,"OECD"]
["New Zealand","EAP","HIC",null,9.8260000000000005,5.1059999999999999,12.053000000000001,0.81799999999999995,0.93100000000000005,2.9510000000000001,-0.98900000000000099,1.004,"OECD",2019,"OECD 2018 = 2018/19 NZ",37.4,31.7,5.6999999999999993,"2019 ARTICLE IV CONSULTATION, September 2019","19/303",2019,0,null,{"$f":"E113*X$2*(T1_VAT!M113/T1_VAT!D113)","v":4.81474E-2},5.1060000000000005E-4,-1.08477E-2,2.1267999999999999E-3,1.2103000000000001E-3,7.2287999999999996E-3,{"$f":"X113+Y113+AA113+AB113-Source_OECDEU_incidence!I33","v":2.8995099999999975E-2},2.7680499999999976E-2,"Direct Tax OECD (2014) and OECD Incidence",null,null,"OECD"]
["Nicaragua","LAC","LMIC",null,6.1549909999999999,{"$f":"6.879093/100*66","v":4.5402013800000001},{"$f":"6.879093/100*34","v":2.3388916200000001},2.8338559999999999,0.63944100000000004,1.5436920000000001,null,5.7494930000000002,"OECD_Global",2017,null,18.7,16.5,2.1999999999999993,"2019 ARTICLE IV CONSULTATION, February 2020","20/59",2017,{"$f":"SUM(E114:K114)-Q114","v":1.5510730000000024},"1.34% of taxes on OECD classed as other not incl in IMF doc",{"$f":"E114*X$2*(T1_VAT!M114/T1_VAT!D114)","v":1.507972795E-2},4.5402013800000001E-4,-8.9999999999999993E-3,7.3680255999999996E-3,8.3127329999999999E-4,4.13963496E-2,{"$f":"Y114-AG114","v":-9.2459798620000005E-3},-9.3198399999999994E-3,"CEQ Study",9.7000000000000003E-3,null,"CEQ  "]
["Niger","SSA","LIC",null,4.4681657475025833,2.9123283063461001,1.0505110402150979,1.666292207225178,3.6969289313395231,5.9943246808156339,null,0,"National Budget",2019,"Used 2019 Budget ",16,15,1,"2019 ARTICLE IV CONSULTATION, July 2019","19/239",2019,4.7885509134441158,"Unknown why IMF revenue is 834 million & Niger Budget is 1,071 million",{"$f":"Source_CEQ_Incidence!D15","v":-1.9E-3},2.9123283063461002E-4,{"$f":"Source_CEQ_Incidence!C15","v":-9.7000000000000003E-3},{"$f":"Source_CEQ_Incidence!E15","v":2.9999999999999997E-4},0,0,{"$f":"SUM(X115:AC115)","v":-1.1008767169365391E-2},9.2696166174618642E-3,"CEQ Study 2019",null,null,"CEQ  "]
["Nigeria","SSA","LMIC",null,1.0140117670153481,1.2222438654062409,0,0.58431773473023585,0.39531024105511359,0.37891075746244895,5.2056343306130497E-3,0,"IMF",2019,"IMF Country Report 19/92",7,3.6,3.4,"2019 ARTICLE IV CONSULTATION, April 2019","19/92",2019,0,null,{"$f":"E116*X$2*(T1_VAT!M116/T1_VAT!D116)","v":2.4843288291876028E-3},1.2222438654062409E-4,0,1.5192261102986132E-3,5.1390331337164766E-4,0,{"$f":"SUM(X116:AC116)","v":4.6396826393984873E-3},2.6984999999999999E-3,"MV",null,null,"MV"]
["North Macedonia","ECA","UMIC",null,7.5,2.2000000000000002,2.7,3.9,0.8,{"$f":"0.4","v":0.4},0.100000000000001,8.8000000000000007,"IMF",2019,"IMF Country Report 20/24",30.2,26.4,3.8000000000000007,"2019 ARTICLE IV CONSULTATION, January 2020","20/24",2019,0,null,{"$f":"E117*X$2*(T1_VAT!M117/T1_VAT!D117)","v":2.3479166666666662E-2},2.2000000000000003E-4,-2.4300000000000003E-3,1.014E-2,1.0399999999999999E-3,6.336E-2,{"$f":"SUM(X117:AC117)","v":9.5809166666666667E-2},null,null,null,null,"NONE"]
["Norway","ECA","HIC",null,8.4849999999999994,5.976,9.8729999999999993,2.3730000000000002,0.10500000000000001,2.1219999999999999,null,10.095000000000001,"OECD",2018,null,null,null,null,null,null,null,{"$f":"SUM(E118:J118)-Q118","v":28.933999999999997},"Unable to compare as latest IMF document only goes to 2017",{"$f":"E118*X$2*(T1_VAT!M118/T1_VAT!D118)","v":3.3261199999999998E-2},5.976E-4,-8.8856999999999998E-3,6.1698000000000005E-3,1.3650000000000001E-4,7.2683999999999999E-2,{"$f":"X118+Y118+AA118+AB118-Source_OECDEU_incidence!I35","v":-8.3489999999998565E-4},9.9030000000001339E-4,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Occupied Palestinian Territory","MENA","LMIC",null,1.7155139027102366,0.23510457797818793,1.2173042308563774E-2,1.5498928153499572,1.7722678279535811,0.30970950122915752,-0.82600968844081202,0,"ICTD",2015,null,21.7,{"$f":"2354/10712*21.7","v":4.7686519790888715},{"$f":"21.7-Q119","v":16.931348020911127},"REPORT TO THE AD HOC LIAISON COMMITTEE, August 2017","-",2015,{"$f":"SUM(E119:K119)-Q119","v":0},null,{"$f":"E119*X$2*(T1_VAT!M119/T1_VAT!D119)","v":8.4060181232801599E-3},2.3510457797818795E-5,-1.0955738077707395E-5,4.0297213199098885E-3,2.3039481763396552E-3,0,{"$f":"SUM(X119:AC119)","v":1.4752242339249816E-2},1.4752242339249816E-2,"MV",null,null,"MV"]
["Oman","MENA","HIC",null,0,1.6403123154648647,0,0,0.93825864444590257,0,null,0,"National Budget",2018,null,null,null,null,null,null,null,2.5785709599107673,null,0,1.6403123154648647E-4,0,0,1.2197362377796732E-3,0,1.3837674693261597E-3,1.0605890880337374E-3,"MV",null,null,"MV"]
["Pakistan","SA","LMIC",null,4.6653564069952544,7.8203975999714764E-2,4.2230147039845969,0.73186013796239191,1.9158907770110607,1.2318900170282925,-0.24621601898131301,0,"National Budget",2019,"Used 2018/19 Budgets",14.7,12.6,{"$f":"P121-Q121","v":2.0999999999999996},"REQUEST FOR AN EXTENDED ARRANGEMENT UNDER THE EXTENDED FUND FACILITY, July 2019","19/212",2019,{"$f":"SUM(E121:K121)-Q121","v":0},null,{"$f":"E121*X$2*(T1_VAT!M121/T1_VAT!D121)","v":5.3378675330636206E-3},7.8203975999714773E-6,-3.8007132335861372E-3,1.9028363587022189E-3,2.4906580101143787E-3,0,5.9384690658940524E-3,4.7552679651468987E-3,"MV",null,null,"MV"]
["Panama","LAC","HIC",null,2.365853,1.5388919999999999,1.718175,0.81994400000000001,0.56610099999999997,1.932598,0.25899999999999901,5.7572850000000004,"OECD_Global",2017,null,20.100000000000001,9.1999999999999993,10.900000000000002,"2018 ARTICLE IV CONSULTATION, January 2019","19/11",2017,{"$f":"SUM(E122:K122)-Q122","v":5.6299999999964712E-4},null,{"$f":"Source_CEQ_Incidence!D17","v":-5.1000000000000004E-3},{"$f":"F122*Y$2","v":1.538892E-4},{"$f":"Source_CEQ_Incidence!C17","v":-5.4000000000000003E-3},0,0,4.1452452000000001E-2,3.1106341199999998E-2,4.0720467964137336E-2,"CEQ Study 2017 & 2018",null,null,"CEQ  "]
["Papua New Guinea","EAP","LMIC",null,2.5719381836777968,3.3568657777556035,3.6790440672046696,1.6385815673605828,0.96366607211904254,0.82134883314831675,1.06855549873399,0,"National Budget",2019,"Used 2020 Budget  (2019 estimate)",16.7,14.1,2.5999999999999996,"2018 ARTICLE IV CONSULTATION, December 2018","18/352",2019,0,null,{"$f":"E123*X$2*(T1_VAT!M123/T1_VAT!D123)","v":6.3012485500106019E-3},3.3568657777556038E-4,{"$f":"G123*Z$2","v":-3.3111396604842023E-3},{"$f":"H123*AA$2","v":4.2603120751375147E-3},1.2527658937547552E-3,0,8.8388734361942289E-3,3.9030532135270277E-3,"MV",null,null,"MV"]
["Paraguay","LAC","UMIC",null,5.0859579999999998,2.0667499999999999,0.23871600000000001,1.3097049999999999,1.000238,0.477717,-0.279083999999999,3.6495489999999999,"OECD_Global",2017,null,14.2,9.9,4.2999999999999989,"2019 ARTICLE IV CONSULTATION, April 2019","19/111",2017,{"$f":"SUM(E124:K124)-Q124","v":0},null,{"$f":"E124*X$2*(T1_VAT!M124/T1_VAT!D124)","v":1.8690895649999997E-2},2.06675E-4,-2E-3,3.4052329999999997E-3,1.3003093999999998E-3,2.6276752799999997E-2,{"$f":"Y124-AG124","v":4.206675E-3},4.2587595647321777E-3,"CEQ Study",-4.0000000000000001E-3,null,"CEQ  "]
["Peru","LAC","UMIC",null,5.8667540000000002,3.5175399999999999,1.859683,0.94178700000000004,0.206953,0.950048,5.7234999999998599E-2,1.9551670000000001,"OECD_Global",2017,null,18.3,13.4,4.9000000000000004,"2019 ARTICLE IV CONSULTATION, January 2020","20/3",2017,{"$f":"SUM(E125:K125)-Q125","v":0},null,{"$f":"E125*X$2*(T1_VAT!M125/T1_VAT!D125)","v":2.3860088518000002E-2},3.5175400000000002E-4,-0.01,2.4486462000000001E-3,2.6903889999999996E-4,1.4077202400000001E-2,{"$f":"Y125-AG125","v":-1.0848246000000001E-2},-1.0822557743601385E-2,"CEQ",1.12E-2,null,"CEQ  "]
["Philippines","EAP","LMIC",null,2.2731051962752922,3.7330460645249799,1.9187310775863335,1.9214268917876156,3.5154698363747543,2.4150064499356607,0.123214483515365,0,"National Budget",2019,"Used 2019 Budget ",20.399999999999999,15.9,4.4999999999999982,"2019 ARTICLE IV CONSULTATION, February 2020","20/36",2019,{"$f":"SUM(E126:K126)-Q126","v":0},null,{"$f":"E126*X$2*(T1_VAT!M126/T1_VAT!D126)","v":0},3.73304606452498E-4,-1.7268579698277002E-3,4.9957099186478003E-3,4.5701107872871804E-3,0,{"$f":"SUM(X126:AC126)","v":8.2122673425597779E-3},1.2910991376295353E-2,"MV",null,null,"MV"]
["Poland","ECA","HIC",null,7.774,1.9279999999999999,4.9829999999999997,3.9689999999999999,0.17499999999999999,2.4910000000000001,-0.12000000000000099,12.817,"OECD",2017,null,39.700000000000003,21.2,18.500000000000004,"2018 ARTICLE IV CONSULTATION, Feburary 2019","19/37",2017,{"$f":"SUM(E127:K127)-Q127","v":0},null,{"$f":"E127*X$2*(T1_VAT!M127/T1_VAT!D127)","v":2.31868E-2},1.928E-4,-4.4846999999999995E-3,1.0319399999999999E-2,2.2749999999999997E-4,9.2282400000000001E-2,{"$f":"Y127-AG127","v":1.8192799999999999E-2},1.8185299999999998E-2,"CEQ Study",{"$f":"-0.026+0.008","v":-1.7999999999999999E-2},null,"CEQ  "]
["Portugal","ECA","HIC",null,8.8529999999999998,3.3740000000000001,6.6050000000000004,3.089,0.112,3.8680000000000003,-0.20099999999999699,9.4909999999999997,"OECD",2018,null,43.5,25.7,17.8,"2019 ARTICLE IV CONSULTATION, July 2019","19/221",2018,{"$f":"SUM(E128:K128)-Q128","v":0},null,{"$f":"E128*X$2*(T1_VAT!M128/T1_VAT!D128)","v":2.7348071739130436E-2},3.3740000000000002E-4,-5.9445000000000001E-3,8.0313999999999993E-3,1.4559999999999999E-4,6.8335199999999999E-2,{"$f":"X128+Y128+AA128+AB128-Source_OECDEU_incidence!I37","v":-2.5137528260869561E-2},-2.9096386956521739E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Romania","ECA","UMIC",null,6.5,2,2.4,2.9,0.1,1.4,null,11.1,"IMF",2019,"IMF Country Report 19/278",29.8,26.4,3.4000000000000021,"2019 ARTICLE IV CONSULTATION, August 2019","19/278",2019,{"$f":"SUM(E129:L129)-Q129","v":0},null,{"$f":"Source_CEQ_Incidence!D18","v":-5.0000000000000001E-3},2.0000000000000001E-4,{"$f":"Source_CEQ_Incidence!C18","v":-1.2500000000000001E-2},{"$f":"Source_CEQ_Incidence!E18","v":-1E-3},0,7.9919999999999991E-2,{"$f":"SUM(X129:AC129)","v":6.1619999999999987E-2},1.3842105263157239E-4,"CEQ Study 2018",null,null,"CEQ  "]
["Russian Federation","ECA","UMIC",null,6.3,3.5,3.5,1.6,3.2,{"$f":"5.6+1.9","v":7.5},9.9999999999997896E-2,7,"IMF",2019,"IMF Country Report 19/260",34.700000000000003,25.7,9.0000000000000036,"2019 ARTICLE IV CONSULTATION, August 2019","19/260",2019,{"$f":"SUM(E130:K130)-Q130","v":0},null,{"$f":"E130*X$2*(T1_VAT!M130/T1_VAT!D130)","v":2.3152499999999999E-2},3.5E-4,-3.15E-3,4.1599999999999996E-3,4.1599999999999996E-3,5.04E-2,{"$f":"Y130-AG130","v":-1.175E-2},-1.176E-2,"CEQ Study",1.21E-2,null,"CEQ  "]
["Rwanda","SSA","LIC",null,4.9281467389359515,1.5648749817977061,4.6712322683134424,2.433587326909719,1.2168140036893751,0.11093057910361449,0.174414101250189,0,"National Budget",2019,"Used 2018/19 Budget ",23.1,15.1,8.0000000000000018,"2019 ARTICLE IV CONSULTATION, July 2019","19/211",2019,0,null,{"$f":"E131*X$2*(T1_VAT!M131/T1_VAT!D131)","v":0},1.5648749817977062E-4,-4.2041090414820983E-3,6.3273270499652695E-3,1.5818582047961876E-3,0,{"$f":"SUM(X131:AC131)","v":3.8615637114591292E-3},1.5678488898413844E-2,"MV",null,null,"MV"]
["Samoa","EAP","UMIC",null,9.5532116853932578,1.5127421123595506,3.3518065168539328,5.75283002247191,2.5401206741573032,1.3648834606741573,0.22440552808988601,0,"National Budget",2019,"Used 2019/20 Budget  (2018/19 Estimate)",34,24.3,9.6999999999999993,"2019 ARTICLE IV CONSULTATION, May 2019","19/138",2019,{"$f":"SUM(E132:L132)-Q132","v":0},null,{"$f":"E132*X$2*(T1_VAT!M132/T1_VAT!D132)","v":0},1.5127421123595507E-4,-3.0166258651685394E-3,1.4957358058426965E-2,3.3021568764044942E-3,0,1.5394163280898876E-2,3.828533622889306E-2,"MV",null,null,"MV"]
["Sao Tome and Principe","SSA","LMIC",null,1.9179256402014357,1.0500375013393337,3.0322511518268507,0,5.6466302367941719,1.532197578484946,-0.67904210864673697,0,"National Budget",2019,"Used 2019 Budget ",14.3,12.5,1.8000000000000007,"REQUEST FOR A 40-MONTH ARRANGEMENT UNDER THE EXTENDED CREDIT FACILITY, October 2019","19/315",2019,0,null,0,1.0500375013393337E-4,-2.7290260366441654E-3,0,7.3406193078324232E-3,0,4.7165970213221917E-3,5.4825113822949099E-3,"MV",null,null,"MV"]
["Senegal","SSA","LMIC",null,5.6335639999999998,1.561304,2.4759340000000001,1.026197,2.1697000000000002,2.1601709999999996,0.37313000000000002,1.157092,"OECD_Global",2017,null,19.399999999999999,15.4,3.9999999999999982,"REQUEST FOR THREE-YEAR POLICY COORDINATION INSTRUMENT, January 2020","20/11",2017,{"$f":"SUM(E134:K134)-Q134","v":0},null,{"$f":"Source_CEQ_Incidence!D19","v":-6.0000000000000001E-3},1.5613040000000001E-4,{"$f":"Source_CEQ_Incidence!C19","v":-0.01},0,0,8.3310624000000003E-3,-7.5128072000000008E-3,2.9729460255608679E-2,"CEQ Study 2018",null,null,"CEQ  "]
["Serbia","ECA","UMIC",null,10.1,2.4,3.7,5.6,0.9,1.5,-9.9999999999994302E-2,12.4,"IMF",2019,"IMF Country Report 19/369",41.4,36.5,4.8999999999999986,"THIRD REVIEW UNDER THE POLICY COORDINATION INSTRUMENT, December 2019","19/369",2019,{"$f":"SUM(E135:L135)-Q135","v":0},null,{"$f":"E135*X$2*(T1_VAT!M135/T1_VAT!D135)","v":1.23725E-2},2.4000000000000001E-4,-3.3300000000000001E-3,1.4559999999999998E-2,1.17E-3,8.9279999999999998E-2,0.11429249999999999,0.10706749999999998,"MV",null,null,"MV"]
["Seychelles","SSA","HIC",null,11.4,5.8,4.2,6.1,1.4,{"$f":"0.5+0.3+2.6","v":3.4000000000000004},null,0,"IMF",2019,"IMF Country Report 19/386",38.4,32.299999999999997,6.1000000000000014,"FOURTH REVIEW UNDER THE POLICY COORIDINATION INSTRUMENT AND REQUEST FOR MODIFICATION OF TARGETS, December 2019","19/386",2019,{"$f":"SUM(E136:L136)-Q136","v":0},null,{"$f":"E136*X$2*(T1_VAT!M136/T1_VAT!D136)","v":2.793E-2},5.8E-4,-3.7799999999999999E-3,1.5859999999999999E-2,1.8199999999999998E-3,0,4.2410000000000003E-2,4.0825E-2,"MV",null,null,"MV"]
["Sierra Leone","SSA","LIC",null,3.0368846304194732,1.1858139464976234,4.6547262782429506,1.762257239806422,2.1912480565018559,0.11656205154642549,-0.94749220301475001,0,"National Budget",2019,"Used 2018/22 (2019 Program) Budget ",17.899999999999999,12,5.8999999999999986,"FIRST REVIEW UNDER THE EXTENDED CREDIT FACILITY ARRANGEMENT, REQUEST FOR WAIVER FOR NONOBSERVANCE OF PERFORMANCE CRITERION, AND FINANCING ASSURNACES REVIEW, July 2019","19/217",2019,0,null,{"$f":"E137*X$2*(T1_VAT!M137/T1_VAT!D137)","v":7.4403673445277091E-3},1.1858139464976234E-4,-4.1892536504186551E-3,4.5818688234966973E-3,2.8486224734524126E-3,0,1.0800186385707925E-2,1.2371288994539653E-2,"MV",null,null,"MV"]
["Singapore","EAP","HIC",null,2.3345989999999999,4.219894,2.2844319999999998,0.66741499999999998,0,4.6303429999999999,-3.6683E-2,0,"OECD_Global",2017,null,19.2,14.1,5.0999999999999996,"2019 ARTICLE IV CONSULTATION, July 2019","19/233",2017,{"$f":"SUM(E138:L138)-Q138","v":0},null,{"$f":"E138*X$2*(T1_VAT!M138/T1_VAT!D138)","v":5.7197675499999993E-3},4.2198940000000003E-4,-2.0559887999999998E-3,1.7352789999999999E-3,0,0,5.8210471500000005E-3,6.3281156195708378E-3,"MV",null,null,"MV"]
["Slovak Republic","ECA","HIC",null,7.0129999999999999,3.2050000000000001,3.556,2.5670000000000002,0.129,1.9939999999999998,-0.26400000000000301,14.587,"OECD",2018,null,39.9,18.2,21.7,"2019 ARTICLE IV CONSULTATION, July 2019","19/220",2018,{"$f":"SUM(E139:K139)-Q139","v":0},null,{"$f":"E139*X$2*(T1_VAT!M139/T1_VAT!D139)","v":2.5772774999999998E-2},3.2050000000000004E-4,-3.2003999999999999E-3,6.6741999999999999E-3,1.6769999999999998E-4,0.10502639999999999,{"$f":"X139+Y139+AA139+AB139-Source_OECDEU_incidence!I40","v":4.9351749999999722E-3},1.0946649999999988E-2,"Direct Tax OECD (2016) and OECD Incidence",null,null,"OECD"]
["Slovenia","ECA","HIC",null,8.1980000000000004,1.9279999999999999,5.3090000000000002,3.6549999999999998,0.124,2.6229999999999998,null,14.542999999999999,"OECD",2018,null,38.799999999999997,20.3,18.499999999999996,"2018 ARTICLE IV CONSULTATION, February 2019","19/58",2018,{"$f":"SUM(E140:K140)-Q140","v":1.5370000000000026},"Unknown - taxes on OECD but not on IMF doc",{"$f":"E140*X$2*(T1_VAT!M140/T1_VAT!D140)","v":2.8758211363636366E-2},1.928E-4,-4.7781000000000004E-3,9.5029999999999993E-3,1.6119999999999999E-4,{"$f":"L140*AC$2","v":0.10470959999999999},{"$f":"X140+Y140+AA140+AB140-Source_OECDEU_incidence!I41","v":-1.1384788636363621E-2},-9.4605954545454451E-3,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Solomon Islands","EAP","LMIC",null,7.1176018447348195,2.5757963959347507,4.3513536595781019,1.6056025279699377,6.9134853531471512,2.7722264924417117,6.3933726193528898E-2,0,"National Budget",2019,"Used 2020 Budget  for 2019 Revised",29.9,25.4,4.5,"2019 ARTICLE IV CONSULTATION, March 2020","20/49",2019,{"$f":"SUM(E141:K141)-Q141","v":0},null,{"$f":"E141*X$2*(T1_VAT!M141/T1_VAT!D141)","v":3.4876249039200613E-2},2.575796395934751E-4,-3.9162182936202912E-3,4.1745665727218381E-3,8.9875309590912965E-3,0,{"$f":"SUM(X141:AC141)","v":4.4379707916986935E-2},4.7973932496838817E-2,"MV",null,null,"MV"]
["South Africa","SSA","UMIC",null,6.3420293455016177,4.7704161787108514,9.6434910355755186,2.2691922615236173,1.0734149173975507,1.0474622099091695,5.39940513816752E-2,null,"Other",2019,"SA Tax Stats 2019 - https://www.sars.gov.za/AllDocs/Documents/Tax%20Stats/Tax%20Stats%202019/Tax%20Stats%202019%20Full%20doc.pdf",29.1,25.2,3.9000000000000021,"2019 ARTICLE IV CONSULTATION, January 2020","20/33",2019,{"$f":"SUM(E142:L142)-Q142","v":0},null,{"$f":"E142*X$2*(T1_VAT!M142/T1_VAT!D142)","v":5.5936698827324261E-3},4.7704161787108518E-4,-8.6791419320179659E-3,5.8998998799614051E-3,1.3954393926168158E-3,0,{"$f":"Y142-AG142","v":-3.7722958382128913E-2},-3.7759617995390675E-2,"CEQ Study",3.8199999999999998E-2,null,"CEQ  "]
["South Sudan","SSA","LIC",null,0.35935063111185572,0.16938879594748085,1.61849454629673,0.42230166727851953,0.22987599508218129,0.28728339792692748,0.61330496635630505,0,"National Budget",2019,"Used 2018/19 Budget ",28.6,3.7,24.900000000000002,"2019 ARTICLE IV CONSULTATION, June 2019","19/153",2019,{"$f":"SUM(E143:L143)-Q143","v":0},null,0,1.6938879594748088E-5,-1.4566450916670569E-3,1.0979843349241507E-3,2.9883879360683568E-4,0,{"$f":"SUM(X143:AC143)","v":-4.2883083541322368E-5},6.4522261744143249E-4,"MV",null,null,"MV"]
["Spain","ECA","HIC",null,6.5869999999999997,2.4729999999999999,7.617,2.1920000000000002,0.16500000000000001,3.7240000000000002,-0.157999999999998,11.643000000000001,"OECD",2018,null,38.5,22.6,15.899999999999999,"2018 ARTICLE IV CONSULTATION, November 2018","18/330",2018,{"$f":"SUM(E144:K144)-Q144","v":0},null,{"$f":"E144*X$2*(T1_VAT!M144/T1_VAT!D144)","v":1.9212083333333334E-2},2.4729999999999999E-4,-6.8552999999999999E-3,5.6991999999999998E-3,2.1450000000000001E-4,8.3829600000000004E-2,{"$f":"Y144-0.0142","v":-1.39527E-2},-1.0272E-2,"Observatorio sobre el reparto de los impuestos y las prestaciones monetarias entre los hogares españoles, Cuarto informe – 2016 y 2017 ",null,null,"Country"]
["Sri Lanka","SA","UMIC",null,4.2067091445055071,1.5338308726889311,0.55010811889687405,3.7706028434247321,2.92269207639798,1.9272228963024189,-0.21116595221644599,0,"National Budget",2019,"Used 2017/18 Budget (for 2019 Projections)",16,14.7,1.3000000000000007,"THIRD REVIEW UNDER THE EXTENDED ARRANGEMENT UNDER THE EXTENDED FUND FACILITY, REQUEST FOR WAIVERS OF APPLICABILITY AND NONOBSERVANCE OF PERFORMANCE CRITERION, AND REQUEST FOR MODIFICATION OF PERFORMANCE CRITERION, January 2018","18/3",2019,{"$f":"SUM(E145:L145)-Q145","v":0},null,{"$f":"E145*X$2*(T1_VAT!M145/T1_VAT!D145)","v":0},1.5338308726889311E-4,-4.9509730700718661E-4,9.8035673929043037E-3,3.799499699317374E-3,0,{"$f":"Y145-AG145","v":-7.9466169127311061E-3},-7.9719285424474859E-3,"CEQ Study",8.0999999999999996E-3,null,"CEQ  "]
["St. Lucia","LAC","UMIC",null,6.1455247489773148,2.1318328932688733,2.4291064150241728,4.4162211602826327,4.4489525288211231,0.89048482707326149,0.23787742655262201,0,"National Budget",2019,"Used 2018/19 Actuals from 2019/20 Budget  ",23,20.7,2.3000000000000007,"2019 ARTICLE IV CONSULTATION, February 2020","20/54",2019,{"$f":"SUM(E146:L146)-Q146","v":0},null,{"$f":"E146*X$2*(T1_VAT!M146/T1_VAT!D146)","v":0},2.1318328932688733E-4,-2.1861957735217555E-3,1.1482175016734845E-2,5.7836382874674602E-3,0,{"$f":"SUM(X146:AC146)","v":1.5292800820007437E-2},1.6398839084394903E-2,"MV",null,null,"MV"]
["St. Vincent and the Grenadines","LAC","UMIC",null,7.6220903696942042,2.6152441807393885,3.7836604290278411,2.0052487448653582,2.6638977635782748,5.5923874942948428,-0.18252898219990901,0,"National Budget",2018,"Used 2018 Budget",26.3,24.1,2.1999999999999993,"2018 ARTICLE IV CONSULTATION, February 2019","19/66",2018,{"$f":"SUM(E147:L147)-Q147","v":0},null,{"$f":"E147*X$2*(T1_VAT!M147/T1_VAT!D147)","v":1.8674121405750799E-2},2.6152441807393887E-4,-3.405294386125057E-3,5.2136467366499309E-3,3.4630670926517572E-3,0,{"$f":"SUM(X147:AC147)","v":2.4207065267001369E-2},2.3588395002310539E-2,"MV",null,null,"MV"]
["Sweden","ECA","HIC",null,9.2910000000000004,2.9790000000000001,12.737,2.1320000000000001,0.13600000000000001,6.9769999999999994,-3.3999999999998899E-2,9.6820000000000004,"OECD",2018,null,49.5,{"$f":"40.5+3.4","v":43.9},5.6000000000000014,"20201917 ARTICLE IV CONSULTATION, March 2019","19/88",2018,{"$f":"SUM(E148:L148)-Q148","v":0},null,{"$f":"E148*X$2*(T1_VAT!M148/T1_VAT!D148)","v":3.3689166E-2},2.9790000000000003E-4,-1.1463299999999999E-2,5.5431999999999999E-3,1.7680000000000001E-4,6.9710400000000006E-2,{"$f":"X148+Y148+AA148+AB148-Source_OECDEU_incidence!I43","v":9.7070659999999656E-3},1.100437800000003E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Switzerland","ECA","HIC",null,3.302,2.9990000000000001,8.5139999999999993,1.169,0.159,5.2030000000000003,-0.34599999999999997,6.593,"OECD",2018,null,33.700000000000003,21,12.700000000000003,"2019 ARTICLE IV CONSULTATION, June 2019","19/180",2018,{"$f":"SUM(E149:K149)-Q149","v":0},null,{"$f":"E149*X$2*(T1_VAT!M149/T1_VAT!D149)","v":1.0716490909090909E-2},2.9990000000000003E-4,-7.6625999999999994E-3,3.0393999999999998E-3,2.0669999999999998E-4,4.7469600000000001E-2,{"$f":"X149+Y149+AA149+AB149-Source_OECDEU_incidence!I44","v":1.7262490909090912E-2},2.0036596875000003E-2,"Direct Tax OECD (2015) and OECD Incidence",null,null,"OECD"]
["Tajikistan","ECA","LIC",null,7.8090780985378343,3.2282711277165128,2.531964680482476,0.67807785290429334,0.92823622189758381,2.339853395560497,1.4627490271618999,1.1217695957389044,"National Budget",2019,"Used 2019 Actuals Report",26.7,20.100000000000001,6.5999999999999979,"IMF Executive Board Concludes 2019 Article IV Consultation with the Republic of Tajikistan - Press Release, January 2020","Press Release",2019,{"$f":"SUM(E150:L150)-Q150","v":0},null,{"$f":"E150*X$2*(T1_VAT!M150/T1_VAT!D150)","v":1.9132241341417694E-2},3.2282711277165132E-4,-2.2787682124342282E-3,1.7630024175511625E-3,1.2067070884668588E-3,8.0767410893201122E-3,{"$f":"SUM(X150:AC150)","v":2.8222750837093254E-2},4.5914569220319064E-2,"MV",null,null,"MV"]
["Tanzania","SSA","LIC",null,3.7473001405426429,1.5147826353714089,2.7643096247953309,1.8313837434379254,2.3558782106274156,0.31400727230941072,0.17233837291586299,0,"National Budget",2019,"Used 2018/19 Budget ",14.8,12.7,{"$f":"P151-Q151","v":2.1000000000000014},"SEVENTH REVIEW UNDER THE POLICY SUPPORT INSTRUMENT, January 2018","18/11",2019,{"$f":"SUM(E151:L151)-Q151","v":0},null,{"$f":"E151*X$2*(T1_VAT!M151/T1_VAT!D151)","v":9.1808853443294744E-3},1.514782635371409E-4,-2.4878786623157979E-3,4.7615977329386059E-3,3.0626416738156401E-3,0,{"$f":"Y151-AG151","v":-4.3148521736462858E-2},-4.3153227112176437E-2,"CEQ Study",4.3299999999999998E-2,null,"CEQ  "]
["Thailand","EAP","UMIC",null,3.841351,4.0614710000000001,1.813895,4.2267340000000004,0.59536699999999998,2.0266890000000002,-0.16550700000000201,1.009002,"OECD_Global",2017,null,21.1,16.399999999999999,{"$f":"P152-Q152","v":4.7000000000000028},"2018 ARTICLE IV CONSULTATION, June 2018","18/143",2017,{"$f":"SUM(E152:K152)-Q152","v":0},null,{"$f":"E152*X$2*(T1_VAT!M152/T1_VAT!D152)","v":9.4113099500000002E-3},4.0614710000000002E-4,-1.6325055E-3,1.09895084E-2,7.7397709999999995E-4,7.2648143999999998E-3,{"$f":"SUM(X152:AC152)","v":2.721325145E-2},3.8428131795948069E-2,"MV",null,null,"MV"]
["Timor-Leste","EAP","LMIC",null,0.69094622191967325,0.3403675970047651,0.76242341729067387,1.34785568413887,0.48672566371681414,1.0108917631041525,-0.33921034717495002,0,"National Budget",2019,"Used 2019 Budget ",27.1,4.3,{"$f":"P153-Q153","v":22.8},"2019 ARTICLE IV CONSULTATION, May 2019","19/124",2019,0,null,{"$f":"E153*X$2*(T1_VAT!M153/T1_VAT!D153)","v":1.6928182437031993E-3},3.4036759700476508E-5,-6.8618107556160646E-4,3.5044247787610621E-3,6.3274336283185837E-4,0,{"$f":"SUM(X153:AC153)","v":5.1778420694349892E-3},6.5785440613026821E-3,"MV",null,null,"MV"]
["Togo","SSA","LIC",null,8.4278193356691347,3.2376204465867593,1.7330303690626294,1.4878542194954882,4.0639416035117675,1.9807204488689956,null,0,"National Budget",2019,"Used 2019 Budget Law",19.899999999999999,17.600000000000001,{"$f":"P154-Q154","v":2.2999999999999972},"FIFTH REVIEW UNDER THE EXTENDED CREDIT FACILITY ARRANGEMENT, October 2019","19/333",2019,3.3309864231947763,"IMF Revenue for Togo\nCI 313.5 & CDII 249.5 billion CFA - total 563 billion\nTogo Budget CI 351.5 & CDII 318 billion - total 669 billion\nDifference of 106 billion / 3.33%",{"$f":"Source_CEQ_Incidence!D20","v":-5.4999999999999997E-3},{"$f":"F154*Y$2","v":3.2376204465867596E-4},{"$f":"Source_CEQ_Incidence!C20","v":-5.0000000000000001E-3},{"$f":"Source_CEQ_Incidence!E20","v":-5.0000000000000001E-4},0,0,{"$f":"SUM(X154:AC154)","v":-1.0676237955341325E-2},5.2631978034834029E-3,"CEQ Study 2018",null,null,"CEQ  "]
["Tonga","EAP","UMIC",null,8.3848164726947179,1.6825326590010026,1.8630647911839999,6.3435183527305288,2.4509310653536258,0.51466217380783563,null,0,"National Budget",2019,"Used 2018/19 Budget ",32.1,24,{"$f":"P155-Q155","v":8.1000000000000014},"2017 ARTICLE IV CONSULTATION, January 2018","18/12",2019,{"$f":"SUM(E155:K155)-Q155","v":-2.7604744852282899},"No updated IMF docs since Jan-18 so difference likely due to old document",{"$f":"E155*X$2*(T1_VAT!M155/T1_VAT!D155)","v":4.1085600716204117E-2},1.6825326590010027E-4,-1.6767583120655999E-3,1.6493147717099373E-2,3.1862103849597135E-3,0,{"$f":"SUM(X155:AC155)","v":5.9256453772097699E-2},3.4268422170312167E-2,"MV",null,null,"MV"]
["Trinidad and Tobago","LAC","HIC",null,4.3083099999999996,5.807887,4.4775200000000002,0.47870299999999999,1.7381770000000001,2.2411820000000002,-0.97998915100100303,3.1017350000000001,"OECD_Global",2017,null,21.162715911865199,18.074010848998999,{"$f":"P156-Q156","v":3.0887050628662003},"IMF WoRLD database","n/a",2017,{"$f":"SUM(E156:K156)-Q156","v":-2.2210000000058017E-3},null,{"$f":"E156*X$2*(T1_VAT!M156/T1_VAT!D156)","v":1.0555359499999998E-2},5.8078870000000007E-4,-4.0297680000000004E-3,1.2446277999999999E-3,2.2596300999999999E-3,2.2332491999999999E-2,{"$f":"SUM(X156:AC156)","v":3.2943130099999995E-2},3.2682417648293022E-2,"MV",null,null,"MV"]
["Tunisia","MENA","LMIC",null,7.4,2.7,7.2,3,1.3,3.8,null,0,"IMF",2019,"IMF Country Report 19/223",28.1,25.4,2.7000000000000028,"FIFTH REVIEW UNDER THE EXTENDED FUND FACILITY, REQUEST FOR WAIVERS OF NONOBSERVANCE OF PERFORMANCE CRITERIA AND REPHASING OF ACCESS, July 2019","19/223",2019,{"$f":"SUM(E157:K157)-Q157","v":0},null,{"$f":"E157*X$2*(T1_VAT!M157/T1_VAT!D157)","v":0},2.7000000000000006E-4,-6.4799999999999996E-3,7.7999999999999996E-3,1.6899999999999999E-3,0,{"$f":"Y157-AG157","v":-3.2530000000000003E-2},-3.2532334376763998E-2,"CEQ Study",3.2800000000000003E-2,null,"CEQ  "]
["Turkey","ECA","UMIC",null,4.8220000000000001,2.1259999999999999,3.7549999999999999,3.6179999999999999,0.43,2.3070000000000004,-0.35800000000000098,7.2939999999999996,"OECD",2018,null,18.899999999999999,16.7,2.1999999999999993,"2019 ARTICLE IV CONSULTATION, December 2019","19/395",2018,{"$f":"SUM(E158:K158)-Q158","v":0},null,{"$f":"E158*X$2*(T1_VAT!M158/T1_VAT!D158)","v":1.2470227777777778E-2},2.1259999999999999E-4,-3.3794999999999997E-3,9.4067999999999999E-3,5.5899999999999993E-4,5.2516799999999995E-2,{"$f":"Y158-AG158","v":-2.1787399999999998E-2},-2.1834099999999999E-2,"OECD 2012",2.1999999999999999E-2,null,"OECD"]
["Uganda","SSA","LIC",null,4.3750606605222178,0.72098377926208834,2.2966265600178724,1.4626656574503609,3.4928041937936096,1.397984098306035,0.35387505064781699,0,"National Budget",2019,"Used 2018/19 Budget ",16.100000000000001,14.1,2.0000000000000018,"2019 ARTICLE IV CONSULTATION, May 2019","17/206",2019,{"$f":"SUM(E159:L159)-Q159","v":0},null,{"$f":"E159*X$2*(T1_VAT!M159/T1_VAT!D159)","v":0},7.2098377926208842E-5,-2.0669639040160849E-3,3.8029307093709382E-3,4.540645451931692E-3,0,{"$f":"Y159-AG159","v":-9.3279016220737913E-3},-9.2973397836371603E-3,"CEQ Study",9.4000000000000004E-3,null,"CEQ  "]
["Ukraine","ECA","LMIC",null,11.1,2.7,6.8,3.7,0.8,{"$f":"0.8+0.2+2.6","v":3.6},null,6.8,"IMF",2019,"IMF Country Report 19/3",40.1,35.5,4.6000000000000014,"REQUEST FOR STAND-BY ARRANGEMENT AND CANCELLATION OF ARRANGEMENT UNDER THE EXTENDED FUND FACILITY, January 2019","19/3",2019,{"$f":"SUM(E160:L160)-Q160","v":0},null,{"$f":"Source_CEQ_Incidence!D21","v":7.0000000000000001E-3},2.7000000000000006E-4,{"$f":"Source_CEQ_Incidence!C21","v":-0.02},0,0,4.8959999999999997E-2,{"$f":"SUM(X160:AC160)","v":3.6229999999999998E-2},7.7490000000000003E-2,"CEQ Study 2019",null,null,"CEQ  "]
["United Kingdom","ECA","HIC",null,7.0469999999999997,2.806,8.7530000000000001,2.3199999999999998,0.16400000000000001,6.0509999999999993,0.25899999999999701,6.399,"OECD",2018,null,36.6,27.4,9.2000000000000028,"2018 ARTICLE IV CONSULTATION, November 2018","18/316",2018,{"$f":"SUM(E161:K161)-Q161","v":0},null,{"$f":"E161*X$2*(T1_VAT!M161/T1_VAT!D161)","v":1.726515E-2},2.8060000000000004E-4,-7.8776999999999996E-3,6.0319999999999992E-3,2.1320000000000001E-4,4.6072799999999997E-2,{"$f":"X161+Y161+AA161+AB161-Source_OECDEU_incidence!I46","v":-1.1209050000000033E-2},-1.5131400000000038E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["United States","NA","HIC",null,2.0129999999999999,0.874,8.9510000000000005,0.79,0.255,5.343,-3.2043459796682301E-7,6.1059999999999999,"OECD",2018,null,null,null,null,null,null,null,{"$f":"SUM(E162:J162)-Q162","v":18.225999999999999},null,{"$f":"E162*X$2*(T1_VAT!M162/T1_VAT!D162)","v":9.8636999999999996E-3},8.740000000000001E-5,-8.0558999999999995E-3,2.0539999999999998E-3,3.3149999999999998E-4,4.3963200000000001E-2,{"$f":"X162+Y162+AA162+AB162-Source_OECDEU_incidence!I47","v":-3.166339999999998E-2},-2.9433499999999981E-2,"Direct Tax OECD (2017) and OECD Incidence",null,null,"OECD"]
["Uruguay","LAC","HIC",null,7.640377,3.1608209999999999,3.5691030000000001,2.1348780000000001,1.0525089999999999,3.6891389999999999,null,9.6501850000000005,"OECD_Global",2017,null,29.9,19.7,{"$f":"P163-Q163","v":10.199999999999999},"2018 ARTICLE IV CONSULTATION, Feburary 2019","19/64",2017,{"$f":"SUM(E163:K163)-Q163","v":1.5468270000000004},"1.53% of taxes on IMF not included in OCED data.  Unknown",{"$f":"E163*X$2*(T1_VAT!M163/T1_VAT!D163)","v":2.7227525309090912E-2},3.1608210000000001E-4,-1.4E-2,5.5506827999999998E-3,1.3682616999999998E-3,6.9481332000000007E-2,{"$f":"Y163-AG163","v":-2.0183917900000001E-2},-2.019767003779753E-2,"CEQ Study",2.0500000000000001E-2,null,"CEQ  "]
["Uzbekistan","ECA","LMIC",null,7.1,{"$f":"SUM(5.8)/100*66.7","v":3.8685999999999998},{"$f":"SUM(5.8)/100*33.3","v":1.9313999999999998},1.8,0.4,{"$f":"2.6+0.7","v":3.3},null,null,"IMF",2019,"IMF Country Report 19/129",24.1,18.399999999999999,{"$f":"P164-Q164","v":5.7000000000000028},"2019 ARTICLE IV CONSULTATION, May 2019","19/129",2019,{"$f":"SUM(E164:L164)-Q164","v":0},null,{"$f":"E164*X$2*(T1_VAT!M164/T1_VAT!D164)","v":0},3.8685999999999999E-4,-1.7382599999999997E-3,4.6800000000000001E-3,5.1999999999999995E-4,0,{"$f":"SUM(X164:AC164)","v":3.8486000000000002E-3},3.6488699999999999E-2,"MV",null,null,"MV"]
["Vanuatu","EAP","LMIC",null,8.1791100702576109,0,0,2.6504918032786886,3.394192037470726,3.4211709601873537,5.5035128805620601E-2,0,"National Budget",2019,"Used 2019 Report for Actuals ",22.5,17.7,{"$f":"P165-Q165","v":4.8000000000000007},"2019 ARTICLE IV CONSULTATION, June 2019","19/162",2019,{"$f":"SUM(E165:K165)-Q165","v":0},null,{"$f":"E165*X$2*(T1_VAT!M165/T1_VAT!D165)","v":2.0038819672131145E-2},0,{"$f":"G165*Z$2","v":0},6.8912786885245905E-3,4.4124496487119432E-3,0,{"$f":"SUM(X165:AC165)","v":3.1342548009367678E-2},3.0178160306402226E-2,"MV",null,null,"MV"]
["Venezuela, RB","LAC","UMIC",null,8.0331398513826944,0.19797699570494059,0,1.8530857411807655,0.88606078724522674,3.2401841817901533,-6.4470842812802704E-3,0.18955244269621971,"OECD_LAC 2018",2016,null,20.430070877075199,14.2040004730225,{"$f":"P166-Q166","v":6.2260704040526988},"IMF WoRLD database","n/a",2016,{"$f":"SUM(E166:K166)-Q166","v":0},null,{"$f":"E166*X$2*(T1_VAT!M166/T1_VAT!D166)","v":1.96811926358876E-2},1.979769957049406E-5,-4.0000000000000001E-3,4.8180229270699901E-3,1.1518790234187946E-3,1.3647775874127818E-3,{"$f":"Y166-AG166","v":-1.3880202300429505E-2},-1.3880202300429505E-2,"CEQ Study",1.3899999999999999E-2,null,"CEQ  "]
["Vietnam","EAP","LMIC",null,6.1,{"$f":"0.5+4","v":4.5},1.9,0,1.3,{"$f":"0.2+4.2","v":4.4000000000000004},0.100000000000001,0,"IMF",2019,"IMF Country Report 19/235",22.3,18.3,{"$f":"P167-Q167","v":4},"2019 ARTICLE IV CONSULTATION, July 2019","19/235",2019,{"$f":"SUM(E167:L167)-Q167","v":0},null,{"$f":"Source_CEQ_Incidence!D22","v":3.0000000000000001E-3},4.5000000000000004E-4,{"$f":"Source_CEQ_Incidence!C22","v":-5.0000000000000001E-3},0,0,0,{"$f":"SUM(X167:AC167)","v":-1.5500000000000002E-3},3.2619999999999996E-2,"CEQ Study 2016",null,null,"CEQ  "]
["Yemen, Rep.","MENA","LIC",null,3.1,1.4,2.7,null,1.5,null,null,null,"IMF",2015,"https://www.imf.org/external/pubs/ft/sdn/2015/sdn1516.pdf, page 34",null,null,null,null,null,null,{"$f":"SUM(E168:L168)-Q168","v":8.6999999999999993},null,{"$f":"E168*X$2*(T1_VAT!M168/T1_VAT!D168)","v":0},1.3999999999999999E-4,{"$f":"G168*Z$2","v":-2.4300000000000003E-3},0,1.9499999999999999E-3,0,{"$f":"SUM(X168:AC168)","v":-3.4000000000000046E-4},-3.4000000000000046E-4,"MV",null,null,"MV"]
["Zambia","SSA","LMIC",null,4.7408820654808999,2.3035726478168783,3.6431085388649294,1.5068419140914078,1.1760599200627759,1.6078983853063518,0.72163652837675596,0,"National Budget",2019,"Used 2019 Budget ",19.399999999999999,15.7,{"$f":"P169-Q169","v":3.6999999999999993},"2019 ARTICLE IV CONSULTATION, August 2019","19/263",2019,{"$f":"SUM(E169:L169)-Q169","v":0},null,{"$f":"E169*X$2*(T1_VAT!M169/T1_VAT!D169)","v":0},2.3035726478168783E-4,{"$f":"G169*Z$2","v":-3.2787976849784363E-3},3.9177889766376598E-3,1.5288778960816085E-3,0,{"$f":"SUM(X169:AC169)","v":2.3982264525225202E-3},3.3578386994468435E-3,"MV",null,null,"MV"]
["Zimbabwe","SSA","LMIC",null,3.1,1.5,1.5,2.8,0.9,{"$f":"0.5+2","v":2.5},-9.9999999999999603E-2,0,"IMF",2019,"IMF Country Report 19/144",13.3,12.2,{"$f":"P170-Q170","v":1.1000000000000014},"STAFF MONITORED PROGRAM, May 2019","19/144",2019,{"$f":"SUM(E170:L170)-Q170","v":0},null,{"$f":"E170*X$2*(T1_VAT!M170/T1_VAT!D170)","v":7.5950000000000002E-3},1.5000000000000001E-4,{"$f":"G170*Z$2","v":-1.3500000000000001E-3},7.2799999999999991E-3,1.17E-3,0,{"$f":"SUM(X170:AC170)","v":1.4845000000000001E-2},8.4270767823452063E-3,"MV",null,null,"MV"]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"COUNTIF(L6:L170,\">0\")","v":84},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Check Total",{"$f":"SUM(AD6:AD170)","v":1.314675989013238}]
["Sources",null,null,null,null,null,null,null,null,null,null,"SocSec not incl in Total Tax Revenue"]
["EuroStat","EuroStat Tax Revenue Statistics, November 2016 http://ec.europa.eu/eurostat/statistics-explained/images/c/cd/Tax_revenue_tables_November_2016.xls"]
["MV","J. Martinez-Vazquez; B. Moreno-Dodson and V. Vulovic (2011) The Impact of Tax and Expenditure Policies on Income\nDistribution. Georgia State University. Andrew Young School of Public Policy Studies"]
["IMF WoRLD","IMF World Revenue Longitudinal Data (WoRLD) http://data.imf.org/?sk=77413F1D-1525-450A-A23A-47AEED40FE78"]
["ICTD","International Centre for Tax & Development http://www.ictd.ac/datasets/the-ictd-government-revenue-dataset \nICTD Government Revenue Dataset"]
["IMF","select country then search for Staff Report reference, http://www.imf.org/external/country/"]
["OECD","OECD Statistics Database, http://www.oecd-ilibrary.org/taxation/data/revenue-statistics_ctpa-rev-data-en "]
["OECD_Global","OECD Global Revenue Statistics Database, https://stats.oecd.org/Index.aspx?DataSetCode=RS_GBL"]
["OECD Incidence","OECD Statistics Database, http://stats.oecd.org/index.aspx?queryid=66670"]
["CEQ","Based on data supplied by Commitment to Equity Institute Data Center, 2 March 2017 (in turn based on information from CEQ country authors and workbooks - see report footnotes for details) and authors estimates."]
["EU 2015"]
["CEPAL","CEPAL CEPALStat\nESTADÍSTICAS DE FINANZAS PÚBLICAS: Ingresos tributarios: Ingresos tributarios por tipo de impuestos en porcentajes del PIB (América latina) (En porcentajes del producto interno bruto)"]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,"Country Tax Breakdown Sources",null,"Country Years Collected",null,null,"Incidence applied"]
[null,null,null,null,null,null,null,null,null,null,null,"National Budget",{"$f":"COUNTIF(M$6:M$170,L187)","v":62},2019,{"$f":"COUNTIF(N6:N170,N187)","v":87},{"$f":"O187/O$195","v":0.52727272727272723},"CEQ  ",{"$f":"COUNTIF($AI$6:$AI$170,Q187)","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,"OECD",34,2018,{"$f":"COUNTIF(N6:N170,N188)","v":36},{"$f":"O188/O$195","v":0.21818181818181817},"MV",79]
[null,null,null,null,null,null,null,null,null,null,null,"OECD / INSEE",0,2017,{"$f":"COUNTIF(N6:N170,N189)","v":36},{"$f":"O189/O$195","v":0.21818181818181817},"OECD",33]
[null,null,null,null,null,null,null,null,null,null,null,"OECD_Global",30,2016,{"$f":"COUNTIF(N6:N170,N190)","v":2},{"$f":"O190/O$195","v":1.2121212121212121E-2},"Country",2]
[null,null,null,null,null,null,null,null,null,null,null,"OECD_LAC 2018",1,2015,{"$f":"COUNTIF(N6:N170,N191)","v":2},1.2121212121212121E-2,"EU  ",2]
[null,null,null,null,null,null,null,null,null,null,null,"IMF_World",1,2014,{"$f":"COUNTIF(N6:N170,N192)","v":0},0,"NONE",2]
[null,null,null,null,null,null,null,null,null,null,null,"ICTD",2,2013,{"$f":"COUNTIF(N6:N170,N193)","v":1},6.0606060606060606E-3,{"$f":"COUNTA(AF6:AF170)","v":163},{"$f":"SUM(R187:R192)","v":164}]
[null,null,null,null,null,null,null,null,null,null,null,"IMF",30,"None",{"$f":"COUNTIF(N6:N170,0)","v":1},{"$f":"O194/O$195","v":6.0606060606060606E-3}]
[null,null,null,null,null,null,null,null,null,null,null,"FERDI database",1,{"$f":"COUNTA(N6:N170)","v":165},{"$f":"SUM(O187:O194)","v":165}]
[null,null,null,null,null,null,null,null,null,null,null,"Other",1,{"$f":"N195-O195","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,"National Bureau of Statistics China",1,null,null,null,null,null," "]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"COUNTA(M6:M170)","v":165},{"$f":"SUM(M187:M199)","v":163}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"L200-M200","v":2}]

{"sheet":"L1A","index":12,"n_rows":185,"n_cols":19,"rows_kept":185,"cut":false,"hidden":false,"merged":[[0,0,0,5],[0,6,0,12],[1,8,1,17]]}
["INDICATOR L1A: Respect for Labour & Union Rights",null,null,null,null,null,"Sources: The data for this indicator is based on the “Labour Rights Indicators” 2017 designed by the Global Labour University and the Center for Global Workers’ Rights at Penn State University (see http://labour-rights-indicators.la.psu.edu ). THERE HAS BEEN ONLY ONE UPDATE SINCE CRI 2018\nNOTE IN THE 2017 VERSION SWAZILAND CHANGED TO ESWATINI, FYR MACEDONIA CHANGED  TO NORTH MACEDONIA, BHUTAN, OPT, TONGA AND KOSOVO ARE STILL MISSING SCORES. why did opt have a score in 2018 cri ?  "]
["Country","Overall undiscounted score ",null,"CRI-3\nOverall undiscounted score ","CRI-2\nOverall undiscounted score ","CRI-1\nOverall undiscounted score ","Notes",null,"Are quite a few countries in this table which are not in CRI. \nCountries with scores which we don’t have in this table are Grenada, Iraq, San Marino, Somalia, South Sudan. ",null,null,null,null,null,null,null,null,null,"CHECK"]
["Afghanistan",{"$f":"VLOOKUP(A3,L_Source_PennState,10,FALSE)","v":0.89578899999999995},"Afghanistan",0.89578899999999995,0.89578899999999995,0.9,null,{"$f":"D3-E3","v":0},"FOLLOWING THE HAGUE, NEED TO SPLIT INTO IN LAW AND IN PRACTICE AND THEN CP ILO AND ITUC SCORES",null,null,null,null,null,null,null,null,null,{"$f":"B3-D3","v":0}]
["Albania",2.208421,"Albania",2.208421,2.2042109999999999,2.16,null,{"$f":"D4-E4","v":4.210000000000047E-3},null,null,null,null,null,null,null,null,null,null,{"$f":"B4-D4","v":0}]
["Algeria",5.7936839999999998,"Algeria",5.7936839999999998,4.8610530000000001,4.8099999999999996,null,0.93263099999999977,null,null,null,null,null,null,null,null,null,null,0]
["Angola",3.1715789999999999,"Angola",3.1715789999999999,2.430526,2.4300000000000002,null,0.74105299999999996,null,null,null,null,null,null,null,null,null,null,0]
["Antigua and Barbuda",0.72315799999999997,"Antigua and Barbuda",0.72315799999999997,0.72315799999999997,0.72,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Argentina",4.9547369999999997,"Argentina",4.9547369999999997,4.24,3.65,null,0.71473699999999951,null,null,null,null,null,null,null,null,null,null,0]
["Armenia",1.78,"Armenia",1.78,1.6010530000000001,1.0900000000000001,null,0.17894699999999997,null,null,null,null,null,null,null,null,null,null,0]
["Australia",4.5210530000000002,"Australia",4.5210530000000002,4.4042110000000001,4.1900000000000004,null,0.11684200000000011,null,null,null,null,null,null,null,null,null,null,0]
["Austria",0.37578899999999998,"Austria",0.37578899999999998,0.37578899999999998,0.38,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Azerbaijan",2.2126320000000002,"Azerbaijan",2.2126320000000002,2.2126320000000002,1.85,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Bahamas, The",2.6747369999999999,"Bahamas",2.6747369999999999,2.483158,2.48,null,0.19157899999999994,null,null,null,null,null,null,null,null,null,null,0]
["Bahrain",6.4263159999999999,"Bahrain",6.4263159999999999,6.6305259999999997,6.62,null,-0.20420999999999978,null,null,null,null,null,null,null,null,null,null,0]
["Bangladesh",8.3589470000000006,"Bangladesh",8.3589470000000006,7.1294740000000001,7.63,null,1.2294730000000005,null,null,null,null,null,null,null,null,null,null,0]
["Barbados",3.1,"Barbados",3.1,2.5421049999999998,2.71,null,0.55789500000000025,null,null,null,null,null,null,null,null,null,null,0]
["Belarus",10,"Belarus",10,10,10,"Belarus received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Belgium",1.66,"Belgium",1.66,1.0894740000000001,1.28,null,0.57052599999999987,null,null,null,null,null,null,null,null,null,null,0]
["Belize",2.5968420000000001,"Belize",2.5968420000000001,2.5810529999999998,2.8,null,1.5789000000000275E-2,null,null,null,null,null,null,null,null,null,null,0]
["Benin",3.68,"Benin",3.68,3.8052630000000001,3.98,null,-0.1252629999999999,null,null,null,null,null,null,null,null,null,null,0]
["Bolivia",3.4915790000000002,"Bolivia (Plurinational State of)",3.4915790000000002,5.3589469999999997,3.47,null,-1.8673679999999995,null,null,null,null,null,null,null,null,null,null,0]
["Bosnia and Herzegovina",2.3473679999999999,"Bosnia and Herzegovina",2.3473679999999999,2.8915790000000001,1.65,null,-0.54421100000000022,null,null,null,null,null,null,null,null,null,null,0]
["Botswana",4.3252629999999996,"Botswana",4.3252629999999996,5.82,4.53,null,-1.4947370000000006,null,null,null,null,null,null,null,null,null,null,0]
["Brazil",4.241053,"Brazil",4.241053,2.54,3.11,null,1.7010529999999999,null,null,null,null,null,null,null,null,null,null,0]
["Brunei Darussalam",3.1736840000000002,"Brunei Darussalam",3.1736840000000002,2.989474,3.17,null,0.18421000000000021,null,null,null,null,null,null,null,null,null,null,0]
["Bulgaria",3.0915789999999999,"Bulgaria",3.0915789999999999,3.0915789999999999,3.82,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Burkina Faso",1.988421,"Burkina Faso",1.988421,1.8,2.93,null,0.18842099999999995,null,null,null,null,null,null,null,null,null,null,0]
["Burundi",3.6947369999999999,"Burundi",3.6947369999999999,4.2894740000000002,5.0599999999999996,null,-0.59473700000000029,null,null,null,null,null,null,null,null,null,null,0]
["Cabo Verde",0.47473700000000002,"Cabo Verde",0.47473700000000002,1.0357890000000001,1.04,null,-0.56105200000000011,null,null,null,null,null,null,null,null,null,null,0]
["Cambodia",6.1631580000000001,"Cambodia",6.1631580000000001,6.3642110000000001,5.19,null,-0.20105299999999993,null,null,null,null,null,null,null,null,null,null,0]
["Cameroon",5.2431580000000002,"Cameroon",5.2431580000000002,5.8063159999999998,5.83,null,-0.5631579999999996,null,null,null,null,null,null,null,null,null,null,0]
["Canada",1.9,"Canada",1.9,0.68631600000000004,1.8,null,1.2136839999999998,null,null,null,null,null,null,null,null,null,null,0]
["Central African Republic",2.1073680000000001,"Central African Republic",2.1073680000000001,2.1073680000000001,2.29,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Chad",2.1915789999999999,"Chad",2.1915789999999999,2.5778949999999998,2.0299999999999998,null,-0.38631599999999988,null,null,null,null,null,null,null,null,null,null,0]
["Chile",{"$f":"VLOOKUP(A35,L_Source_PennState,10,FALSE)","v":2.9094739999999999},"Chile",2.9094739999999999,2.5147370000000002,2.93,null,0.39473699999999967,null,null,null,null,null,null,null,null,null,null,0]
["China",10,"China",10,10,10,"China received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Colombia",6.3494739999999998,"Colombia",6.3494739999999998,5.8063159999999998,5.0599999999999996,null,0.54315800000000003,null,null,null,null,null,null,null,null,null,null,0]
["Comoros",1.730526,"Comoros",1.730526,0.51684200000000002,0.52,null,1.213684,null,null,null,null,null,null,null,null,null,null,0]
["Congo, Dem. Rep.",5.0115790000000002,"Democratic Republic of the Congo",5.0115790000000002,4.8168420000000003,4.82,null,0.19473699999999994,null,null,null,null,null,null,null,null,null,null,0]
["Congo, Rep.",1.6315789999999999,"Congo",1.6315789999999999,1.6336839999999999,1.82,null,-2.1050000000000235E-3,null,null,null,null,null,null,null,null,null,null,0]
["Costa Rica",2.7336839999999998,"Costa Rica",2.7336839999999998,2.8852630000000001,2.9,null,-0.15157900000000035,null,null,null,null,null,null,null,null,null,null,0]
["Cote d'Ivoire",2.6042109999999998,"Côte d'Ivoire",2.6042109999999998,1.26,2.5299999999999998,null,1.3442109999999998,null,null,null,null,null,null,null,null,null,null,0]
["Croatia",2.198947,"Croatia",2.198947,0.77052600000000004,1.31,null,1.4284209999999999,null,null,null,null,null,null,null,null,null,null,0]
["Cuba",10,"Cuba",10,10,10,"Cuba received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Cyprus",0.189474,"Cyprus",0.189474,0.73263199999999995,0.19,null,-0.54315799999999992,null,null,null,null,null,null,null,null,null,null,0]
["Czech Republic",2.3578950000000001,"Czech Republic",2.3578950000000001,2.5305260000000001,2.38,null,-0.17263099999999998,null,null,null,null,null,null,null,null,null,null,0]
["Denmark",0.53368400000000005,"Denmark",0.53368400000000005,0.53368400000000005,0.73,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Djibouti",10,"Djibouti",10,10,3.56,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Dominica",0.17263200000000001,"Dominica",0.17263200000000001,0.36421100000000001,0.36,null,-0.191579,null,null,null,null,null,null,null,null,null,null,0]
["Dominican Republic",3.0894740000000001,"Dominican Republic",3.0894740000000001,2.78,3.53,null,0.30947400000000025,null,null,null,null,null,null,null,null,null,null,0]
["Ecuador",6.0589469999999999,"Ecuador",6.0589469999999999,5.8715789999999997,5.14,null,0.1873680000000002,null,null,null,null,null,null,null,null,null,null,0]
["Egypt, Arab Rep.",10,"Egypt",10,10,10,"Egypt received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["El Salvador",4.9915789999999998,"El Salvador",4.9915789999999998,5.2115790000000004,4.95,null,-0.22000000000000064,null,null,null,null,null,null,null,null,null,null,0]
["Equatorial Guinea",10,"Equatorial Guinea",10,10,10,"Equatorial Guinea received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Eritrea",10,"Eritrea",10,10,10,"Eritrea received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Estonia",2.0315789999999998,"Estonia",2.0315789999999998,1.2821050000000001,1.28,null,0.74947399999999975,null,null,null,null,null,null,null,null,null,null,0]
["Eswatini",4.5389470000000003,"Eswatini",4.5389470000000003,5.5052630000000002,5.92,null,-0.96631599999999995,null,null,null,null,null,null,null,null,null,null,0]
["Ethiopia",3.3115790000000001,"Ethiopia",3.3115790000000001,2.9410530000000001,4.1399999999999997,null,0.37052599999999991,null,null,null,null,null,null,null,null,null,null,0]
["Fiji",5.5663159999999996,"Fiji",5.5663159999999996,5.5326320000000004,7.41,null,3.3683999999999159E-2,null,null,null,null,null,null,null,null,null,null,0]
["Finland",0,"Finland",0,0,0,null,0,null,null,null,null,null,null,null,null,null,null,0]
["France",1.6726319999999999,"France",1.6726319999999999,1.262105,1.44,null,0.41052699999999986,null,null,null,null,null,null,null,null,null,null,0]
["Gabon",2.0684209999999998,"Gabon",2.0684209999999998,0.90105299999999999,0.9,null,1.1673679999999997,null,null,null,null,null,null,null,null,null,null,0]
["Gambia, The",1.276842,"Gambia",1.276842,2.8810530000000001,1.48,null,-1.6042110000000001,null,null,null,null,null,null,null,null,null,null,0]
["Georgia",3.6326320000000001,"Georgia",3.6326320000000001,2.8526319999999998,2.31,null,0.78000000000000025,null,null,null,null,null,null,null,null,null,null,0]
["Germany",0.95894699999999999,"Germany",0.95894699999999999,1.1347370000000001,1.32,null,-0.17579000000000011,null,null,null,null,null,null,null,null,null,null,0]
["Ghana",2.536842,"Ghana",2.536842,2.3547370000000001,2.37,null,0.18210499999999996,null,null,null,null,null,null,null,null,null,null,0]
["Greece",{"$f":"VLOOKUP(A67,L_Source_PennState,10,FALSE)","v":2.258947},"Greece",2.258947,2.1063160000000001,2.11,null,0.15263099999999996,null,null,null,null,null,null,null,null,null,null,0]
["Guatemala",6.5115790000000002,"Guatemala",6.5115790000000002,7.234737,7.03,null,{"$f":"D68-E68","v":-0.72315799999999975},null,null,null,null,null,null,null,null,null,null,{"$f":"B68-D68","v":0}]
["Guinea",2.741053,"Guinea",2.741053,1.776842,0.87,null,0.96421099999999993,null,null,null,null,null,null,null,null,null,null,0]
["Guinea-Bissau",3.18,"Guinea-Bissau",3.18,2.8157890000000001,3.01,null,0.36421100000000006,null,null,null,null,null,null,null,null,null,null,0]
["Guyana",1.08,"Guyana",1.08,1.0873679999999999,1.26,null,-7.3679999999998191E-3,null,null,null,null,null,null,null,null,null,null,0]
["Haiti",4.7610530000000004,"Haiti",4.7610530000000004,3.82,4.9400000000000004,null,0.94105300000000058,null,null,null,null,null,null,null,null,null,null,0]
["Honduras",5.5136839999999996,"Honduras",5.5136839999999996,5.3315789999999996,5.37,null,0.18210499999999996,null,null,null,null,null,null,null,null,null,null,0]
["Hungary",3.463158,"Hungary",3.463158,3.2789470000000001,2.73,null,0.1842109999999999,null,null,null,null,null,null,null,null,null,null,0]
["Iceland",0.17263200000000001,"Iceland",0.17263200000000001,0.35157899999999997,0.35,null,-0.17894699999999997,null,null,null,null,null,null,null,null,null,null,0]
["India",6.4726319999999999,"India",6.4726319999999999,6.2294739999999997,6.45,null,0.24315800000000021,null,null,null,null,null,null,null,null,null,null,0]
["Indonesia",5.8421050000000001,"Indonesia",5.8421050000000001,5.1926319999999997,6.32,null,0.64947300000000041,null,null,null,null,null,null,null,null,null,null,0]
["Iran, Islamic Republic",{"$error":"#N/A"},"Iran (Islamic Republic of)",10,10,10,"Iran (Islamic Republic of) received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice.",0,null,null,null,null,null,null,null,null,null,null,{"$error":"#N/A"}]
["Ireland",0.32105299999999998,"Ireland",0.32105299999999998,0.87368400000000002,0.87,null,-0.55263100000000009,null,null,null,null,null,null,null,null,null,null,0]
["Israel",0.89368400000000003,"Israel",0.89368400000000003,0.71578900000000001,1.44,null,0.17789500000000003,null,null,null,null,null,null,null,null,null,null,0]
["Italy",0.92210499999999995,"Italy",0.92210499999999995,0.90526300000000004,0.91,null,1.6841999999999913E-2,null,null,null,null,null,null,null,null,null,null,0]
["Jamaica",2.9326319999999999,"Jamaica",2.9326319999999999,2.5684209999999998,2.57,null,0.36421100000000006,null,null,null,null,null,null,null,null,null,null,0]
["Japan",1.475789,"Japan",1.475789,1.481053,1.48,null,-5.2639999999999354E-3,null,null,null,null,null,null,null,null,null,null,0]
["Jordan",3.8610530000000001,"Jordan",3.8610530000000001,3.8610530000000001,4.07,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Kazakhstan",3.7105260000000002,"Kazakhstan",3.7105260000000002,3.1126320000000001,4.08,null,0.59789400000000015,null,null,null,null,null,null,null,null,null,null,0]
["Kenya",3.9821049999999998,"Kenya",3.9821049999999998,2.9063159999999999,5.01,null,1.0757889999999999,null,null,null,null,null,null,null,null,null,null,0]
["Kiribati",1.251579,"Kiribati",1.251579,1.0989469999999999,1.45,null,0.1526320000000001,null,null,null,null,null,null,null,null,null,null,0]
["Korea, Rep.",7.3431579999999999,"Republic of Korea",7.3431579999999999,7.1568420000000001,7.31,null,0.1863159999999997,null,null,null,null,null,null,null,null,null,null,0]
["Kuwait",3.987368,"Kuwait",3.987368,3.996842,3.29,null,-9.4739999999999824E-3,null,null,null,null,null,null,null,null,null,null,0]
["Kyrgyz Republic",1.6442110000000001,"Kyrgyzstan",1.6442110000000001,1.6442110000000001,1.64,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Lao PDR",10,"Lao People's Democratic Republic",10,10,10,"Lao People's Democratic Republic received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Latvia",1.258947,"Latvia",1.258947,1.063158,1.25,null,0.19578899999999999,null,null,null,null,null,null,null,null,null,null,0]
["Lebanon",4.0410529999999998,"Lebanon",4.0410529999999998,4.4378950000000001,4.22,null,-0.39684200000000036,null,null,null,null,null,null,null,null,null,null,0]
["Lesotho",1.990526,"Lesotho",1.990526,2.9757889999999998,2.56,null,-0.98526299999999978,null,null,null,null,null,null,null,null,null,null,0]
["Liberia",1.6915789999999999,"Liberia",1.6915789999999999,2.6305260000000001,2.06,null,-0.9389470000000002,null,null,null,null,null,null,null,null,null,null,0]
["Libya",10,"Libya",10,10,10,"Libya received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Lithuania",1.3726320000000001,"Lithuania",1.3726320000000001,1.3673679999999999,1.56,null,5.2640000000001574E-3,null,null,null,null,null,null,null,null,null,null,0]
["Luxembourg",0.189474,"Luxembourg",0.189474,0.189474,0,null,0,null,null,null,null,null,null,null,null,null,null,0]
["North Macedonia",{"$f":"VLOOKUP(A99,L_Source_PennState,10,FALSE)","v":1.5957889999999999},"North Macedonia",1.5957889999999999,1.4126320000000001,1.0900000000000001,null,0.18315699999999979,null,null,null,null,null,null,null,null,null,null,0]
["Madagascar",3.4168419999999999,"Madagascar",3.4168419999999999,2.4031579999999999,3.54,null,1.013684,null,null,null,null,null,null,null,null,null,null,0]
["Malawi",1.1063160000000001,"Malawi",1.1063160000000001,1.84,1.64,null,-0.733684,null,null,null,null,null,null,null,null,null,null,0]
["Malaysia",6.3126319999999998,"Malaysia",6.3126319999999998,6.6842110000000003,7.06,null,-0.37157900000000055,null,null,null,null,null,null,null,null,null,null,0]
["Maldives",3.516842,"Maldives",3.516842,1.492632,2.2000000000000002,null,2.0242100000000001,null,null,null,null,null,null,null,null,null,null,0]
["Mali",3.9263159999999999,"Mali",3.9263159999999999,3.5357889999999998,4.63,null,0.39052700000000007,null,null,null,null,null,null,null,null,null,null,0]
["Malta",1.442105,"Malta",1.442105,0.88526300000000002,0.89,null,0.55684199999999995,null,null,null,null,null,null,null,null,null,null,0]
["Marshall Islands",0.66842100000000004,"Marshall Islands",0.66842100000000004,0.66842100000000004,0.67,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Mauritania",4.3842109999999996,"Mauritania",4.3842109999999996,4.8031579999999998,4.5999999999999996,null,-0.41894700000000018,null,null,null,null,null,null,null,null,null,null,0]
["Mauritius",3.7968419999999998,"Mauritius",3.7968419999999998,2.695789,3.07,null,1.1010529999999998,null,null,null,null,null,null,null,null,null,null,0]
["Mexico",4.1347370000000003,"Mexico",4.1347370000000003,3.9842110000000002,4.57,null,0.15052600000000016,null,null,null,null,null,null,null,null,null,null,0]
["Moldova",2.1536840000000002,"Republic of Moldova",2.1536840000000002,1.975789,2.34,null,0.17789500000000014,null,null,null,null,null,null,null,null,null,null,0]
["Mongolia",1.451579,"Mongolia",1.451579,1.0705260000000001,1.45,null,0.38105299999999986,null,null,null,null,null,null,null,null,null,null,0]
["Montenegro",1.768421,"Montenegro**",1.768421,2.3336839999999999,2.74,null,-0.56526299999999985,null,null,null,null,null,null,null,null,null,null,0]
["Morocco",4.4294739999999999,"Morocco",4.4294739999999999,4.6031579999999996,4.76,null,-0.17368399999999973,null,null,null,null,null,null,null,null,null,null,0]
["Mozambique",2.735789,"Mozambique",2.735789,2.92,3.28,null,-0.1842109999999999,null,null,null,null,null,null,null,null,null,null,0]
["Myanmar",4.1778950000000004,"Myanmar",4.1778950000000004,4.16,4.33,null,1.7895000000000216E-2,null,null,null,null,null,null,null,null,null,null,0]
["Namibia",2.1694740000000001,"Namibia",2.1694740000000001,2.3757890000000002,2.7,null,-0.20631500000000003,null,null,null,null,null,null,null,null,null,null,0]
["Nepal",4.1515789999999999,"Nepal",4.1515789999999999,3.430526,3.43,null,0.72105299999999994,null,null,null,null,null,null,null,null,null,null,0]
["Netherlands",0.912632,"Netherlands",0.912632,0.18421100000000001,0.18,null,0.72842099999999999,null,null,null,null,null,null,null,null,null,null,0]
["New Zealand",2.728421,"New Zealand",2.728421,2.2136840000000002,2.78,null,0.51473699999999978,null,null,null,null,null,null,null,null,null,null,0]
["Nicaragua",2.2073680000000002,"Nicaragua",2.2073680000000002,2.8031579999999998,2.42,null,-0.5957899999999996,null,null,null,null,null,null,null,null,null,null,0]
["Niger",2.6263160000000001,"Niger",2.6263160000000001,1.456842,1.07,null,1.1694740000000001,null,null,null,null,null,null,null,null,null,null,0]
["Nigeria",6.3168420000000003,"Nigeria",6.3168420000000003,6.66,6.39,null,-0.34315799999999985,null,null,null,null,null,null,null,null,null,null,0]
["Norway",0.17263200000000001,"Norway",0.17263200000000001,0.17263200000000001,0.17,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Occupied Palestinian Territory",{"$error":"#N/A"},null,null,0,0,"NO DATA FROM SOURCE",0,"For some reason OPT had data in 2018 CRI - why ? ",null,null,null,null,null,null,null,null,null,{"$error":"#N/A"}]
["Oman",3.6494740000000001,"Oman",3.6494740000000001,3.0768420000000001,3.45,null,0.57263200000000003,null,null,null,null,null,null,null,null,null,null,0]
["Pakistan",7.7831580000000002,"Pakistan",7.7831580000000002,7.814737,7.97,null,-3.1578999999999802E-2,null,null,null,null,null,null,null,null,null,null,0]
["Palau",0.36315799999999998,"Palau",0.36315799999999998,0.51578900000000005,0.52,null,-0.15263100000000007,null,null,null,null,null,null,null,null,null,null,0]
["Panama",4.3442109999999996,"Panama",4.3442109999999996,5.2726319999999998,5.68,null,-0.92842100000000016,null,null,null,null,null,null,null,null,null,null,0]
["Papua New Guinea",2.003158,"Papua New Guinea",2.003158,2.003158,2,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Paraguay",4.5115790000000002,"Paraguay",4.5115790000000002,4.3947370000000001,5.85,null,0.11684200000000011,null,null,null,null,null,null,null,null,null,null,0]
["Peru",{"$f":"VLOOKUP(A131,L_Source_PennState,10,FALSE)","v":6.774737},"Peru",6.774737,6.9442110000000001,6.36,null,-0.16947400000000012,null,null,null,null,null,null,null,null,null,null,0]
["Philippines",7.3431579999999999,"Philippines",7.3431579999999999,6.3926319999999999,7.68,null,{"$f":"D132-E132","v":0.95052599999999998},null,null,null,null,null,null,null,null,null,null,{"$f":"B132-D132","v":0}]
["Poland",2.5831580000000001,"Poland",2.5831580000000001,2.72,4.28,null,-0.13684200000000013,null,null,null,null,null,null,null,null,null,null,0]
["Portugal",1.685263,"Portugal",1.685263,1.6978949999999999,1.7,null,-1.2631999999999977E-2,null,null,null,null,null,null,null,null,null,null,0]
["Qatar",10,"Qatar",10,10,10,"Qatar received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Romania",3.7242109999999999,"Romania",3.7242109999999999,3.198947,3.56,null,0.52526399999999995,null,null,null,null,null,null,null,null,null,null,0]
["Russian Federation",4.1105260000000001,"Russian Federation",4.1105260000000001,4.8526319999999998,4.4800000000000004,null,-0.74210599999999971,null,null,null,null,null,null,null,null,null,null,0]
["Rwanda",3.8094739999999998,"Rwanda",3.8094739999999998,3.9484210000000002,4.1500000000000004,null,-0.13894700000000038,null,null,null,null,null,null,null,null,null,null,0]
["Samoa",1.344211,"Samoa",1.344211,1.344211,1.34,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Sao Tome and Principe",1.3431580000000001,"Sao Tome and Principe",1.3431580000000001,1.3431580000000001,1.38,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Saudi Arabia",10,"Saudi Arabia",10,10,10,"Saudi Arabia received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice",0,null,null,null,null,null,null,null,null,null,null,0]
["Senegal",4.7031580000000002,"Senegal",4.7031580000000002,4.5042109999999997,4.33,null,0.19894700000000043,null,null,null,null,null,null,null,null,null,null,0]
["Serbia",2.344211,"Serbia*",2.344211,3.2294740000000002,3.5,null,-0.88526300000000013,null,null,null,null,null,null,null,null,null,null,0]
["Seychelles",1.781053,"Seychelles",1.781053,1.9726319999999999,1.97,null,-0.19157899999999994,null,null,null,null,null,null,null,null,null,null,0]
["Sierra Leone",2.294737,"Sierra Leone",2.294737,2.4789469999999998,2.48,null,-0.18420999999999976,null,null,null,null,null,null,null,null,null,null,0]
["Singapore",3.0736840000000001,"Singapore",3.0736840000000001,3.0736840000000001,3.07,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Slovak Republic",0.18421100000000001,"Slovakia",0.18421100000000001,0.383158,0.19,null,-0.19894699999999998,null,null,null,null,null,null,null,null,null,null,0]
["Slovenia",0.36315799999999998,"Slovenia",0.36315799999999998,0.36315799999999998,0.36,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Solomon Islands",2.927368,"Solomon Islands",2.927368,2.94,2.94,null,-1.2631999999999977E-2,null,null,null,null,null,null,null,null,null,null,0]
["South Africa",2.466316,"South Africa",2.466316,2.8231579999999998,2.79,null,-0.35684199999999988,null,null,null,null,null,null,null,null,null,null,0]
["South Sudan",{"$f":"VLOOKUP(A151,L_Source_PennState,10,FALSE)","v":2.6936840000000002},"South Africa",2.466316,2.8231579999999998,2.79,null,{"$f":"D151-E151","v":-0.35684199999999988},null,null,null,null,null,null,null,null,null,null,{"$f":"B151-D151","v":0.22736800000000024}]
["Spain",3.274737,"Spain",3.274737,0.72736800000000001,1.4,null,2.5473689999999998,null,null,null,null,null,null,null,null,null,null,0]
["Sri Lanka",4.2294739999999997,"Sri Lanka",4.2294739999999997,4.3631580000000003,4.2300000000000004,null,-0.13368400000000058,null,null,null,null,null,null,null,null,null,null,0]
["St. Kitts and Nevis",{"$error":"#N/A"},"Saint Kitts and Nevis",1.233684,1.233684,0.85,null,0,null,null,null,null,null,null,null,null,null,null,{"$error":"#N/A"}]
["St. Lucia",0.38736799999999999,"Saint Lucia",0.38736799999999999,0.38736799999999999,0.39,null,0,null,null,null,null,null,null,null,null,null,null,0]
["St. Vincent and the Grenadines",0.85473699999999997,"Saint Vincent and the Grenadines",0.85473699999999997,0.85473699999999997,0.85,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Sudan",10,"Sudan",10,10,10,"Sudan received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Suriname",0.54842100000000005,"Suriname",0.54842100000000005,0.71157899999999996,0.17,null,-0.16315799999999991,null,null,null,null,null,null,null,null,null,null,0]
["Sweden",0.53684200000000004,"Sweden",0.53684200000000004,0.72842099999999999,0.73,null,-0.19157899999999994,null,null,null,null,null,null,null,null,null,null,0]
["Switzerland",1.266316,"Switzerland",1.266316,1.254737,1.28,null,1.1579000000000006E-2,null,null,null,null,null,null,null,null,null,null,0]
["Syrian Arab Republic",10,"Syrian Arab Republic",10,10,10,"Syrian Arab Republic received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Tajikistan",0.90736799999999995,"Tajikistan",0.90736799999999995,0.90736799999999995,1.47,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Tanzania",4.5884210000000003,"United Republic of Tanzania",4.5884210000000003,3.8252630000000001,3.85,null,0.76315800000000023,null,null,null,null,null,null,null,null,null,null,0]
["Thailand",{"$f":"VLOOKUP(A164,L_Source_PennState,10,FALSE)","v":6.5294740000000004},"Thailand",6.5294740000000004,6.92,6.29,null,-0.39052599999999948,null,null,null,null,null,null,null,null,null,null,0]
["Timor-Leste",0.70105300000000004,"Timor-Leste",0.70105300000000004,0.70105300000000004,0.72,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Togo",0.72842099999999999,"Togo",0.72842099999999999,0.94,0.94,null,-0.21157899999999996,null,null,null,null,null,null,null,null,null,null,0]
["Trinidad and Tobago",3.0831580000000001,"Trinidad and Tobago",3.0831580000000001,3.0831580000000001,3.08,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Tunisia",3.1294740000000001,"Tunisia",3.1294740000000001,2.9242110000000001,4.41,null,0.20526299999999997,null,null,null,null,null,null,null,null,null,null,0]
["Turkey",5.3873680000000004,"Turkey",5.3873680000000004,5.744211,6.72,null,-0.35684299999999958,null,null,null,null,null,null,null,null,null,null,0]
["Turkmenistan",10,"Turkmenistan",10,10,10,"Turkmenistan received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Tuvalu",1.7821050000000001,"Tuvalu",1.7821050000000001,1.7821050000000001,1.78,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Uganda",2.9189470000000002,"Uganda",2.9189470000000002,2.5673680000000001,3.1,null,0.35157900000000009,null,null,null,null,null,null,null,null,null,null,0]
["Ukraine",3.708421,"Ukraine",3.708421,4.2694739999999998,4.9000000000000004,null,-0.5610529999999998,null,null,null,null,null,null,null,null,null,null,0]
["United Arab Emirates",10,"United Arab Emirates",10,10,10,"United Arab Emirates received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in law and in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["United Kingdom",1.824211,"United Kingdom",1.824211,2.0157889999999998,1.48,null,-0.1915779999999998,null,null,null,null,null,null,null,null,null,null,0]
["United States",3.0905260000000001,"United States of America",3.0905260000000001,3.4547370000000002,4.9000000000000004,null,-0.36421100000000006,null,null,null,null,null,null,null,null,null,null,0]
["Uruguay",1.478947,"Uruguay",1.478947,0.73157899999999998,0.56000000000000005,null,0.74736800000000003,null,null,null,null,null,null,null,null,null,null,0]
["Uzbekistan",10,"Uzbekistan",10,10,10,"Uzbekistan received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Vanuatu",2.702105,"Vanuatu",2.702105,2.702105,2.7,null,0,null,null,null,null,null,null,null,null,null,null,0]
["Venezuela, RB",6.0547370000000003,"Venezuela",6.0547370000000003,5.3757890000000002,7.21,null,0.67894800000000011,null,null,null,null,null,null,null,null,null,null,0]
["Vietnam",10,"Viet Nam",10,10,10,"Vitenam received the worst possible score by default due to reported general prohibition of the right to establish and join organizations and/or collective bargaining in practice.",0,null,null,null,null,null,null,null,null,null,null,0]
["Yemen, Rep.",2.0147370000000002,"Yemen",2.0147370000000002,2.5673680000000001,2.57,null,-0.55263099999999987,null,null,null,null,null,null,null,null,null,null,0]
["Zambia",4.2042109999999999,"Zambia",4.2042109999999999,4.5947370000000003,4.21,null,-0.39052600000000037,null,null,null,null,null,null,null,null,null,null,0]
["Zimbabwe",7.1336839999999997,"Zimbabwe",7.1336839999999997,7.1189470000000004,8.11,null,1.4736999999999334E-2,null,null,null,null,null,null,null,null,null,null,0]
[null,null,null,null,null,null,null,{"$f":"AVERAGE(H3:H184)","v":8.3256230769230763E-2},"OVERALL LABOUR RIGHTS MARGINALLY WORSENED, STILL NO FUNDL LAW CHANGE"]

{"sheet":"L1B","index":13,"n_rows":187,"n_cols":30,"rows_kept":187,"cut":false,"hidden":false,"merged":[[0,0,0,8]]}
["INDICATOR L1B: Legal protection for women workers",null,null,null,null,null,null,null,null,null,null,null,"SOURCES"]
["Country","Does the law mandate equal remuneration for work of equal value?","Does the law mandate non-discrimination based on gender in hiring?","Yes Scores","What is the length of paid maternity + paternity + parental leave?","Standardised Maternity + Paternity Leave","laws on rape","Laws on Sexual Harassment","L1B\nUndiscounted combined women's rights score","CRI-2\nL2\nUndiscounted combined women's rights score","CRI-1\nL2\nUndiscounted combined women's rights score","Notes","Previous data was provided by the World Bank’s Women, Business and the Law database (WBL) BUT owing to major data inconsistencies, this index is now using Wage Indicator’s (WI) country profiles. https://wageindicator.org/main. Equal pay & Anti-disc:   Questions 37 & 39 were used. Maternity,Paternity and Parental leave: sections 5 & 6 of WI profile were used. If the country doesn't feature in WI, LeaveNetwork was used for 45 OECD and partner countries, otherwise primary sources were researched and noted. "]
["Afghanistan","Yes","Yes",{"$f":"COUNTIF(B3:C3,\"Yes\")","v":2},{"$f":"90","v":90},{"$f":"(E3-$E$185)/($E$184-$E$185)","v":0.13061461432406937},{"$f":"VLOOKUP($A3,L_Source_Laws,2,FALSE)","v":0.66999999999999993},{"$f":"VLOOKUP($A3,L_Source_Laws,3,FALSE)","v":1},{"$f":"(D3+F3+G3+H3)/5","v":0.76012292286481387},0.75886187845303865,0.12610340479192939,"90 days mat leave @ 100%. No parental leave","equal pay & non disc + mat leave: https://gettingthedealthrough.com/area/18/jurisdiction/202/labour-employment-afghanistan/; http://www.parliament.am/library/ashxatanqayinorensgreqer/axvanstan.pdf"]
["Albania","Yes","Yes",2,{"$f":"(185*0.8) + (180*0.5) +3","v":241},0.349756911690008,0.66999999999999993,1,0.80395138233800156,0.80057458563535921,1.4602774274905421,"365 days mat leave + 3 days pat leave. Only unpaid parental leave","https://wageindicator.org/documents/decentworkcheck/europe/albania-english"]
["Algeria","Yes","No",1,{"$f":"98+3","v":101},0.14657862274145564,0.33999999999999997,1,0.49731572454829109,0.49590055248618786,1.1273644388398487,"4. - Tout employeur est tenu d'assurer, pour un travail de valeur égale, l'égalité de rémunération entre les travailleurs sans aucune discrimination. Mat & pat leave:  http://www.ibfan.org/art/IBFAN_CRC60_Algeria-June2011.pdf. No parental. ","https://www.ilo.org/dyn/natlex/docs/WEBTEXT/9557/64805/F97DZA01.htm; 98 DAYS MAT LEAVE : http://library.euneighbours.eu/sites/default/files/image.php%20french%20version.pdf; http://www.ilo.org/dyn/travail/travmain.sectionReport1?p_lang=en&p_countries=DZ&p_sc_id=2000&p_year=2011&p_structure=3; Paternity leave http://www.ibfan.org/art/IBFAN_CRC60_Algeria-June2011.pdf"]
["Angola","Yes","Yes",2,90,0.13061461432406937,1,0,0.62612292286481386,0.62486187845303864,1.1134930643127365,"3 months paid mat leave .Unpaid pat leave, no parental leave ","https://wageindicator.org/documents/decentworkcheck/africa/angola-english"]
["Antigua and Barbuda","Yes","Yes",2,{"$f":"91*0.6","v":54.6},7.923953268993543E-2,0.66999999999999993,0,0.5498479065379871,0.54908287292817681,1.1147540983606556,"13 weeks mat leave @ 60%. No pat or parental leave. Equal pay & discr : Antigua Labor Code ","Mat leave: http://www.socialsecurity.gov.ag/benefits/maternity-benefits; Equal pay and anti disc : Labor Code Part 1 C4 :  http://blue.lim.ilo.org/cariblex/ab_act2.shtml#Equal_pay_for_women. "]
["Argentina","Yes","Yes",2,{"$f":"90+2","v":92},0.1335171613090487,1,1,0.82670343226180987,0.82541436464088402,2.1160151324085752,"2 days pat leave; 90 days mat leave; no parental leave. ","https://wageindicator.org/documents/decentworkcheck/latinamerica/argentina-english"]
["Armenia","Yes","Yes",2,140,0.20317828894855236,1,0,0.64063565778971054,0.63867403314917126,1.1765447667087012,"70 days before and 70  after birth; only unpaid parental leave. No pat leave; Equal pay: Article 178 of the Labour Code. Non disc: Article 14.1 of the Armenian Constitution. ","http://www.ilo.org/ifpdial/information-resources/national-labour-law-profiles/WCMS_158891/lang--en/index.htm; Labour Code: http://www.ilo.org/dyn/travail/docs/961/Labour%20Code%20ENG.pdf"]
["Australia","Yes","Yes",2,{"$f":"(14*0.49) +(126*0.49)","v":68.599999999999994},9.9557361584790657E-2,1,1,0.81991147231695805,0.81895027624309391,2.1765447667087012,"2 weeks pat leave;  parental leave  for primary carer and can be taken by other parent as it is a family entitlement: 18 weeks. Pat leave is part of parental leave. 49% of average salary","Paid Maternity + Paternity + parental Pay: http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Australia_2017_final.pdf Equal pay & anti-disc : https://www.wgea.gov.au/report/about-legislation"]
["Austria","Yes","Yes",2,{"$f":"(112*1) +(31*0.23) + (309*0.8)","v":366.33000000000004},0.53164501850373713,1,1,0.90632900370074743,0.88380386740331507,2.5296343001261032,"112 days mat leave@ 100%; pat leave 31 days@ €22.6/day = 0.23%: calculation based on monthly average pay €2917. Parental:  80% of salary over 12 months. 56 days of postnatal deducted. ","Paid Maternity,Paternity and parental Pay: used this latest source dated April 2017 http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Austria_2017_final.pdf\nAnti-Discrimination: (Equal Treatment)\nAct for the Private Sector, Federal Equal Treatment Act for Civil Servants + https://wageindicator.org/documents/decentworkcheck/europe/austria-english(https://www.ris.bka.gv.at/GeltendeFassung/Bundesnormen/20003395/GlBG%2c%20Fassung%20vom%2002.11.2015.pdf)"]
["Azerbaijan","Yes","Yes",2,126,0.18286046005369713,0.66999999999999993,1,0.7705720920107394,0.76880662983425407,2.1588902900378311,"No paternity leave; 126 days mat leave; only one-off allowance for parental so not included","https://wageindicator.org/documents/decentworkcheck/russia/azerbaijan-english-old; http://mdm.wageindicator.org/chart/maternity/31 ;- additional support for 2 y is not mat leave but child support "]
["Bahamas, The","No","Yes",1,{"$f":"13*7*0.666","v":60.606000000000002},8.7955881285828319E-2,0.33999999999999997,0,0.28559117625716562,null,null,"mat leave 13 weeks, no parental or paternity.  There is also a one-off maternity grant of $430","https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/the-bahamas/"]
["Bahrain","Yes","Yes",2,{"$f":"60+1","v":61},8.852768304186924E-2,0.33999999999999997,1,0.68570553660837386,0.68485082872928182,7.6923076923076927E-2,"60 days mat leave + 1 days pat leave. No parental leave","https://wageindicator.org/documents/decentworkcheck/gulf-middle-east/bahrain-english",null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"365+180","v":545}]
["Bangladesh","Yes","Yes",2,112,0.1625426311588419,0.33999999999999997,1,0.70050852623176829,0.49893922651933698,1.1412358133669609,"16 weeks mat leave; no pat or par leave .Changed non-discrimination as is in Constitution ","https://wageindicator.org/documents/decentworkcheck/asia/bangladesh-english"]
["Barbados","No","No",0,84,0.12190697336913142,0.66999999999999993,1,0.35838139467382624,0.55720441988950276,0.10592686002522068,"12 weeks mat leave; no pat or par leave. gender based labour legislation 2017 Employment (Prevention of Discrimination) Act"," Mat leave: http://blue.lim.ilo.org/cariblex/pdfs/BAR_empwomen.pdf;  http://reports.weforum.org/global-gender-gap-report-2015/economies/#economy=BRB+ https://www.gov.uk/government/publications/overseas-business-risk-barbados/overseas-business-risk-barbados. anti disc: http://www.state.gov/j/drl/rls/hrrpt/humanrightsreport/index.htm?year=2017&dlid=277307"]
["Belarus","Yes","Yes",2,{"$f":" ((126*1) +(197.81/831.3)*304)","v":198.3375917238061},0.28784208943299633,0.66999999999999993,0,0.59156841788659931,0.58878938997895192,1.1588902900378311,"126 days mat leave; no pat leave; parental leave: 10 months @ living wage divided by average wage","https://wageindicator.org/documents/decentworkcheck/russia/belrus-english"]
["Belgium","Yes","Yes",2,{"$f":"(30*0.82) +(75*0.75) +(3*1) + (7*0.82%) + 2*(120*0.27)","v":148.70740000000001},0.21581510775705684,1,1,0.84316302155141132,0.84107939226519335,2.150063051702396,"10 days pat leave (3 at full pay, 7 at 82%); 15 weeks mat leave; 4 months par leave. There are options to extend to more months but % reduces. Took the full time 4 months option. ","https://wageindicator.org/documents/decentworkcheck/europe/belgium-english;  http://mdm.wageindicator.org/chart/maternity/56"]
["Belize","No","No",0,98,0.14222480226398665,{"$f":"VLOOKUP($A19,L_Source_Laws,2,FALSE)","v":1},1,0.42844496045279729,0.36107182320441988,0.1235813366960908,"no pat leave but a paternity grant in a lump sum. mat leave 14 weeks. No equal pay and non discr legislation \"The constitution provides for equal opportunities and treatment for men and women in employment. However the law does not explicitly prohibit discrimination in  employment. The Equal Pay Act stipulates equal remuneration for “equal work”, and not for “work of equal value” as designated according to Convention No. 100. ","http://www.socialsecurity.org.bz/short-term-benefits-branch. Equal pay & anti-disc: https://www.ituc-csi.org/IMG/pdf/Belize_final.pdf"]
["Benin","Yes","Yes",2,{"$f":"98+3","v":101},0.14657862274145564,0.66999999999999993,1,0.76331572454829111,0.76190055248618782,1.1273644388398487,"14 weeks mat leave; 3 days pat leave. No parental leave","https://wageindicator.org/documents/decentworkcheck/africa/benin-english"]
["Bhutan","Yes ","Yes",1,{"$f":"180+10","v":190},0.27574196357303538,0.66999999999999993,1,0.58914839271460706,0.38648618784530386,7.6923076923076927E-2,"WBL says now equal pay and non-discrim legislation. Mat leave extended to 6 months and pat leave to 10 days from March 2016","http://www.un.org/womenwatch/daw/cedaw/cedaw25years/content/english/CONCLUDING_COMMENTS/Bhutan/Bhutan-CO-1-6.pdf; http://www.rcsc.gov.bt/wp-content/uploads/2016/03/Press-Release.pdf"]
["Bolivia","Yes","Yes",2,{"$f":"90+3","v":93},0.13496843480153836,1,1,0.82699368696030773,0.82569060773480663,2.1172761664564943,"90 days mat leave  3 days pat leave. No parental leave. ","equal pay/non disc & mat/pat leave:  https://wageindicator.org/documents/decentworkcheck/latinamerica/deceneworkcheck-bolivia-20170212-english + Non-Discrimination: https://www.migracion.gob.bo/upload/l348.pdf +"]
["Botswana","No","Yes",1,{"$f":"84*0.5","v":42},6.0953486684565711E-2,0.66999999999999993,1,0.54619069733691317,0.55720441988950276,0.10592686002522068,"mat leave 12 weeks @50% (WI). No pat or par leave. Anti -disc Botswana Employment Act . ","Mat leave: https://mywage.com/main/labour-law/labour-law-botswana/maternity-leave; non_disc https://www.icj.org/sogi-legislative-database/botswana-sogi-legislation-country-report-2013/"]
["Brazil","Yes","Yes",2,{"$f":"120+120+5","v":245},0.35556200565996665,1,1,0.87111240113199329,0.86767955801104968,1.1576292559899117,"5 days pat leave ( 20 days intro in 2016 if organisation is participating to corporate citizenship prog but not included as not universal) ; 120 days mat leave +60 days if  organisation is participating to corporate citizenship progrs but not included as not universal+ 120 days parental","https://wageindicator.org/documents/decentworkcheck/latinamerica/brazil-english"]
["Bulgaria","Yes","Yes",2,{"$f":"(410*0.9) + (15*0.9) + (365*0.37)","v":517.54999999999995},0.75110659603802332,{"$f":"VLOOKUP($A25,L_Source_Laws,2,FALSE)","v":0.33999999999999997},{"$f":"VLOOKUP($A25,L_Source_Laws,3,FALSE)","v":1},0.81822131920760466,0.8119779005524862,2.5359394703657001,"mat leave 410 days @ 90%, 15 pat leave@90%;  parental 2 years minus mat leave of 1 year = 365 days @ 37% of average wage [365 days @ BGN380 /month ; Average monthly salary: 1037 (ILOSTAT 2017); 380/1037=0.37%]. ","https://wageindicator.org/documents/decentworkcheck/europe/decentworkcheck-bulgaria-20170717-english"]
["Burkina Faso","Yes","Yes",2,{"$f":"98+3","v":101},0.14657862274145564,0.66999999999999993,1,0.76331572454829111,0.76190055248618782,2.1273644388398485,"3 days pat leave; 14 weeks mat leave. No paid parental","Equal Remuneration & Non-Discrimination: Oxfam advised that Burkina Faso has a law that ensures the equality of the wages between (article 182 of the labor code ) And discrimination in respect of employment and occupation is prohibited in Burkina Faso by the Labor Code in accordance with Article 4 http://www.cgtburkina.org/IMG/pdf/code-travail.pdf + https://wageindicator.org/documents/decentworkcheck/africa/burkina-faso-english"]
["Burundi","Yes","Yes",2,{"$f":"84+4","v":88},0.12771206733909005,1,1,0.82554241346781798,0.8243093922651934,1.1109709962168979,"12 weeks mat leave and 4 days pat leave. ","https://wageindicator.org/documents/decentworkcheck/africa/burundi-english"]
["Cabo Verde","Yes","Yes",2,"60",8.7076409549379591E-2,1,1,0.81741528190987578,0.81657458563535923,7.5662042875157626E-2,"no pat nor par leave. ","https://wageindicator.org/documents/decentworkcheck/africa/cape-verde-english"]
["Cambodia","Yes","Yes",2,{"$f":"90*0.5","v":45},6.5307307162034686E-2,0.66999999999999993,1,0.74706146143240693,0.75886187845303865,2.1134930643127365,"90 days mat leave @50% (WI). no pat nor par leave. ","https://wageindicator.org/documents/decentworkcheck/asia/cambodia-english"]
["Cameroon","Yes","No",1,{"$f":"98+3","v":101},0.14657862274145564,0.33999999999999997,1,0.49731572454829109,0.49590055248618786,0.12736443883984869,"14 weeks mat leave and  3 days pat leave both @ 100%. ","equal pay: article 61 Code du Travail https://www.ilo.org/dyn/natlex/docs/WEBTEXT/31629/64868/F92CMR01.htm#a061; Mat & pat leave http://reports.weforum.org/global-gender-gap-report-2015/economies/#economy=CAM:  https://www.ilo.org/dyn/natlex/docs/WEBTEXT/31629/64868/F92CMR01.htm + Line Enanga Debt Manager source\"Effectivement, à la CAA l'art.31 du statut du personnel prévoit une permission d'absence de trois  (03) jours   à l'occasion de la naissance d'un enfant du travailleur ( masculin ). \""]
["Canada","Yes","Yes",2,{"$f":"385*0.55","v":211.75000000000003},0.3073071620346855,1,1,0.86146143240693718,0.85317679558011039,2.459016393442623,"15 weeks  mat leave. 35 weeks parental leave +5 wks par leave if take 35 shared from 2019. 55 weeks@ 55% of earnings. Quebec has same length but pays 70% of salary","NEW: http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Canada_2017_final.pdf; from Oxfam Canada : https://www.canada.ca/en/employment-social-development/programs/ei/ei-list/reports/maternity-parental.html#h2.1-h3.2;Equal pay : https://www.ontario.ca/document/your-guide-employment-standards-act/equal-pay-equal-work; Anti disc http://www.canada.pch.gc.ca/eng/1448633334004"]
["Central African Republic","Yes","No",1,"98",0.14222480226398665,0.33999999999999997,1,0.49644496045279735,0.49507182320441989,0.1235813366960908,"14 weeks mat leave; equal pay for work of equal value in law. Can't find other info on anti-discrimination so using WBL","Mat leave: Art 77 Loi °06.035 DU 28 DECEMBRE 2006 http://www.ilo.org/dyn/natlex/docs/SERIAL/88118/100658/F936578687/CAF-88118.pdf; Equal pay: Section IV Art 10 LOI N°09.004 portant Code du Travail:   http://www.droit-afrique.com/upload/doc/rca/RCA-Code-2009-du-travail.pdf "]
["Chad","Yes","Yes",2,{"$f":"98+1","v":99},0.14367607575647631,0.33999999999999997,1,0.69673521515129522,0.59534806629834258,2.1248423707440103,"1 day pat leave; 14 weeks mat leave. No parental leave .","https://wageindicator.org/documents/decentworkcheck/africa/chad-english"]
["Chile","Yes","Yes",2,{"$f":"126+7+84","v":217},0.3149263478702562,1,1,0.86298526957405119,0.85994475138121551,0.27112232030264816,"18 weeks mat leave; 7 days pat leave; 12 weeks par leave","mat, pat and par leave + equal pay & non disc: https://wageindicator.org/documents/decentworkcheck/latinamerica/chile-english"]
["China","Yes","Yes",2,{"$f":"98+30","v":128},{"$f":"(E35-$E$185)/($E$184-$E$185)","v":0.18576300703867646},0.66999999999999993,1,{"$f":"(D35+F35+G35+H35)/5","v":0.77115260140773523},0.76935911602209939,1.1651954602774275,"98 days mat leave + 30 days late mat leave for mothers of 24yo + (OK TO INCL ?). No paid pat or parental leave , ","https://wageindicator.org/documents/decentworkcheck/asia/china-english + average age of new mothers, +29 in China http://www.huffingtonpost.co.uk/2016/03/09/pregnancy-around-the-world-age-of-new-mums_n_9416064.html"]
["Colombia","Yes","Yes",2,{"$f":"126 +8","v":134},0.19447064799361441,1,1,0.83889412959872289,0.8370165745856355,1.1361916771752838," Mat leave increased from 14 weeks to 18 weeks in 2017; 8 days pat leave. No parental. ","https://wageindicator.org/documents/decentworkcheck/latinamerica/colombia-english."]
["Congo, Dem. Rep.","Yes","Yes",2,"98",0.14222480226398665,0.66999999999999993,1,0.7624449604527973,0.56107182320441995,0.1235813366960908,"14 weeks; No info pat or parental leave. WBL says anti-discrimination law","https://mdm.wageindicator.org/chart/maternity/180; Mat leave & equal pay Article 130 & Art 86 Titre V  Code du Travail 2002 http://www.droitcongolais.info/files/2.54.09.-Loi-du-16-octobre-2002_-Code-du-travail.pdf; anti disc http://www.state.gov/j/drl/rls/hrrpt/humanrightsreport/index.htm?year=2016&dlid=265242 -  section 7d"]
["Congo, Rep.","Yes","No",1,"105",0.15238371671141426,1,1,0.63047674334228287,0.62900552486187844,0.13240857503152584,"15 weeks; No info pat or parental leave nor on anti-discr","Mat leave & equal pay: Titre IV Art 113 and Titre III Art 80 Code du Travail  https://www.cesbc.org/congo/Lois/Loi%2045-75%20du%20mars%201975.pdf"]
["Costa Rica","Yes","Yes",2,"120",0.17415281909875918,1,1,0.83483056381975196,0.83314917127071819,0.15132408575031525,"No pat or par leave. 120 days of mat leave. ","https://wageindicator.org/documents/decentworkcheck/latinamerica/costarica-english; mat/pat: https://mdm.wageindicator.org/chart/maternity/188"]
["Cote d'Ivoire","Yes","Yes",2,{"$f":"98+2","v":100},0.14512734924896598,0.66999999999999993,1,0.76302546984979325,0.76162430939226522,2.1261034047919294,"14 weeks mat leave @ 100%, 2 days pat leave. ","Mat leave: Art 23.5 Code du Travail http://www.ilo.org/dyn/natlex/docs/WEBTEXT/39815/64951/F95CIV01.HTM & anti-disc Art 4 of the Code & equal pay Art 31.2. Pat leave: JL contact Vakaramoko Toure confirmed on 18.05.18. "]
["Croatia","Yes","Yes",2,341,0.49488426093897397,1,1,0.89897685218779488,0.8941988950276244,2.2395964691046659,"Mat Leave: mandatory leave 98 days; no pat leave. Parental leave 4 months ","Paid Maternity + Paternity Pay: http://mdm.wageindicator.org/chart/maternity/191; Parental: https://wageindicator.org/documents/decentworkcheck/europe/croatia-english; Non-Discrimination: Equality Act (2003), Equality Act (2008), Anti-discrimination Act (2008), Family\nViolence Act (2003), Family Violence Act (2009) (http://www.europarl.europa.eu/RegData/etudes/note/join/2013/493016/IPOL-FEMM_NT(2013)493016_EN.pdf)"]
["Cuba","Yes","Yes",2,{"$f":"(126*1)+(365*0.6)","v":345},0.50068935490893263,1,1,0.90013787098178655,0.89530386740331491,0,"18 weeks mat leave @ 100%; parental leave available for a year at 60% \"Cuba allows  such  an  additional  period  to  either  mother  or  father  \nduring  the  child’s  first  year  of  life;  in  this  case  the  period  counts as contributory towards social security and is paid at 60% of regular maternity leave.\" Non disc & equal pay  in Labor Law. "," mat/pat/leave:http://waba.org.my/stockholm-symposium/wp-content/uploads/2015/09/UNICEF-Report-on-Mat-leave-2011-nh.pdf & http://www.ilo.org/dyn/travail/travmain.sectionReport1?p_lang=en&p_structure=3&p_year=2011&p_start=1&p_increment=10&p_sc_id=2000&p_countries=CU&p_print=Y; Non disc ART 3(b) & equal pay ART 3(ch) of Código de Trabajo.  http://www.ilo.org/dyn/travail/docs/1308/LEY%20No.%2049-84%20CODIGO%20DE%20TRABAJO.pdf; "]
["Cyprus","Yes","Yes",2,{"$f":"126+14","v":140},0.20317828894855236,1,1,0.8406356577897105,0.83867403314917122,2.1588902900378311,"14 days pat leave introduced in Nov 2017, replaces unpaid parental leave. 18 weeks mat leave. ","New 2017 provisions for pat leave: https://www.towerswatson.com/en/Insights/Newsletters/Global/global-news-briefs/2017/11/cyprus-new-paid-paternity-leave-in-effect; https://wageindicator.org/documents/decentworkcheck/europe/cyprus-english"]
["Czech Republic","Yes","Yes",2,{"$f":"(7+49+147+583)*0.7","v":550.19999999999993},0.79849067556781073,1,1,0.95969813511356217,0.9519889502762432,2.9760403530895334,"7 pat leave; Mat leave: 7 weeks prenatal (btw 6&8 so chose 7)  & 21 weeks postnatal(btwn 20 & 22 so chose 21)  @70% ; parental 24 months @ 70% and deducted postnatal mat leave ; ","https://wageindicator.org/documents/decentworkcheck/europe/czechrepublic-english; Paid Maternity + Paternity Pay: http://mdm.wageindicator.org/chart/maternity/203"]
["Denmark","Yes","Yes",2,{"$f":"(126*0.54) + (14*0.54) + (224*0.54)","v":196.56},0.28526231768376753,1,1,0.85705246353675357,0.85429834254143644,2.4489281210592688,"2 weeks pat leave ; 18 weeks mat leave so 126 days and 32 weeks par leave per parent so *2. Fully paid up to €632/week - 54% of ave wage","https://wageindicator.org/documents/decentworkcheck/europe/denmark-english; Paid Maternity + Paternity Pay: http://mdm.wageindicator.org/chart/maternity/208\nNon-Discrimination: https://www.wcwonline.org/pdf/lawcompilation/Denmark-genderequality.pdf\n",null,{"$f":"632/2280","v":0.27719298245614032}]
["Djibouti","Yes","Yes",2,{"$f":"98+3","v":101},0.14657862274145564,0.33999999999999997,0,0.49731572454829109,0.49590055248618781,2.1273644388398485,"14 weeks mat leave; pat leave 3 days considered as part of parental leave","Mat leave Art 113, pat leave Art 100 & equal pay Art 137, anti disc Art 3, : http://www.ilo.org/dyn/travail/docs/1011/Labour%20Code.pdf"]
["Dominican Republic","Yes","Yes",2,{"$f":"98+2","v":100},0.14512734924896598,1,0.66999999999999993,0.76302546984979325,0.56162430939226515,1.1084489281210592,"Mat leave : increase from 12 to 14 weeks in Feb 2017. 2 days pat leave, no parental. WBL says anti-discrimination law","Equal Remuneration: Oxfam Dominican Republic 'El dato exacto para hacer ajustes en la pestaña de género y derechos laborales está contenido en el artículo 62 de la Constitución Dominicana de 2010 (reformada en 2015 pero dejaron igual el articulo), numeral 9'; Mat leave: http://www.nicepeoplenetworking.com/2016/maternity-leave-extended-as-of-9-february-2017/; pat leave https://www.unicef.org/lac/challenges_12_eclac-unicef.pdf & Art 54 Labor Code "]
["Ecuador","Yes","Yes",2,{"$f":"84+10","v":94},0.13641970829402802,1,1,0.82728394165880559,0.82596685082872923,1.1210592686002523,"12 weeks mat leave; 10 days pat leave. ","Mat  & pat leave: Art 152; Equal pay Art 79  http://www.justicia.gob.ec/wp-content/uploads/2015/05/CODIGO-DEL-TRABAJO.pdf; anti disc: see Art 331 in the Constitution https://www.constituteproject.org/constitution/Ecuador_2008.pdf"]
["Egypt, Arab Rep.","Yes","Yes",2,"90",0.13061461432406937,0.66999999999999993,1,0.76012292286481387,0.75886187845303865,0.11349306431273644,"no pat or par leave ","https://wageindicator.org/documents/decentworkcheck/africa/egypt-english.pdf"]
["El Salvador","Yes","Yes",2,115,0.16689645163631087,0.66999999999999993,1,0.76737929032726215,0.76493922651933699,1.1412358133669609,"16 weeks mat leave. 3 days pat leave. No par leave","Paid Maternity + Paternity Pay: Oxfam El Salvador - From 2016, maternity leave was extended from 3 months to 4  '143 Labor Code Reform about maternity leave become reality' http://www.mtps.gob.sv/noticias/reforma-al-codigo-trabajo-309-licencia-maternidad-entra-vigencia/ \nEqual Remuneration: Oxfam El Salvador - DECRETO Nº. 645 CAPITULO IV ARTICLE 25; non disc :  https://wageindicator.org/documents/decentworkcheck/latinamerica/el-salvador-english"]
["Eritrea","Yes","Yes",2,"60",8.7076409549379591E-2,0.33999999999999997,0,0.48541528190987587,0.48457458563535905,7.5662042875157626E-2,"Mat leave: 60 days. No pat or parental leave.  Proclamation No. 118/2001 The Labour Proclamation of Eritrea ","Mat leave Art 66 & non-disc and equal pay Art 65 : http://www.ilo.org/dyn/travail/docs/493/The%20Labour%20Proclamation%20of%20Eritrea%20No%20118%20of%202001.pdf; "]
["Estonia","Yes","Yes",2,{"$f":"10+140+435","v":585},0.84899499310645099,1,1,0.96979899862129026,0.96160220994475143,1.7124842370744009,"10 pays pat leave; 140 days mat leave; 435 days parental leave","Paid Maternity + Paternity+Parental Pay: http://mdm.wageindicator.org/chart/maternity/233; Equal pay & non-disc: https://wageindicator.org/documents/decentworkcheck/europe/estonia-english"]
["Eswatini","Yes","Yes",2,14,2.0317828894855238E-2,1,1,0.80406356577897109,0.63786740331491709,1.7654476670870115E-2,"12 weeks mat leave but only 2 weeks are paid, assumed full pay; no pat or parental leave ","Equal pay & anti disc: see Part X parag 96 & mat leave parag 102 https://www.ilo.org/dyn/natlex/docs/MONOGRAPH/11933/96812/F621197677/SWZ11933%20Part2.pdf; https://www.w24.co.za/Work/Jobs/10-best-and-worst-countries-for-maternity-leave-20150708"]
["Ethiopia","Yes","Yes",2,{"$f":"120+3","v":123},0.17850663957622814,0.66999999999999993,0,0.56970132791524564,0.5588618784530387,0.11349306431273644,"increased from 90 to 120 days mat leave and added 3 days pat leave in 2019 labour proclamation. No par leave","https://wageindicator.org/documents/decentworkcheck/africa/ethiopia-english.pdf"]
["Fiji","Yes","Yes",2,{"$f":"98+5+5","v":108},0.15673753718888325,1,1,0.83134750743777663,0.82320441988950288,1.1059268600252208,"2018 budget increased mat leave from 84 to 98 days, introduced 5 days pat. 5 day parental leave. ","Mat leave: http://www.labour.gov.fj/laws/EA_Cap92.pdf; Equal pay: Part II Parag 4 & anti-disc Part II Parag 6 http://www.ilo.org/dyn/travail/docs/820/Employment%20Relations%20Promulgation%202007.pdf",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"(56*0.9) +(66*0.7) + (54*0.7) + (140*0.7%)","v":135.37999999999997}]
["Finland","Yes","Yes",2,{"$f":"(56*0.9) +(49*0.7) + (54*0.7) + (158*0.7)","v":233.09999999999997},0.33829185109933962,1,1,0.86765837021986802,0.86419889502762426,2.3694829760403531,"105 days mat leave: 56 days @ 90%; 66 @ 70%; pat leave 54 days @ 70%; parental leave to be taken at the end of mat leave: 158 days @ 70%. CHANGED CALC ADDED BACK IN PAT + PAR, REDUCED MAT TO 105, USING LEAVENETWORK ","Paid Maternity + Paternity +Parental Pay: http://mdm.wageindicator.org/chart/maternity/246; https://wageindicator.org/documents/decentworkcheck/europe/finland-english"]
["France","Yes","Yes",2,{"$f":"(112*1) + (11*1) +(365*0.124)","v":168.26},0.24419127784631015,{"$f":"VLOOKUP($A57,L_Source_Laws,2,FALSE)","v":1},{"$f":"VLOOKUP($A57,L_Source_Laws,3,FALSE)","v":1},0.84883825556926207,0.85212707182320435,2.1551071878940733,"16 weeks mat leave; 11 days pat leave; 1 year parental @ 396 a month (excluding allocation de base of 184 for lower-income parents) (=12.4% of average monthly wage acc OECD 3191)","https://www.service-public.fr/particuliers/vosdroits/F32485; http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/France.FINAL.10may2017.pdf; https://wageindicator.org/documents/decentworkcheck/europe/france-english"]
["Gabon","Yes","Yes",2,"98",0.14222480226398665,0.66999999999999993,0,0.56244496045279724,0.56107182320441984,0.1235813366960908,"14 weeks mat leave","Mat leave: Art 171 , anti-disc Art 5 + equal pay  Art 126 (21) http://www.ilo.org/dyn/natlex/docs/WEBTEXT/39615/64948/F94GAB01.HTM; "]
["Gambia, The","Yes","Yes",2,89,0.12916334083157971,0.66999999999999993,1,0.75983266816631589,0.75858563535911605,0.23959646910466584,"Reduced to 12 weeks in 2017 Mat Leave + 5 days pat leave:","http://www.thewomenstorch.com/2017/07/06/the-gambias-move-to-reduce-maternity-leave-is-retrogressive/; Equal pay & Non-disc: Part V Parag 16,17,18 of 2010 Women's Act http://www.ilo.org/dyn/natlex/docs/MONOGRAPH/90619/115464/F-1335047347/GMB90619.pd & mat and pat leave http://unpan1.un.org/intradoc/groups/public/documents/un-dpadm/unpan038471.pdf Parag 20 (1) & (2) f; "]
["Georgia","No","Yes",1,"183",0.26558304912560776,1,1,0.65311660982512154,0.65055248618784522,0.23076923076923078,"183 paid mat leave since 2013; no pat r par leave. no info on equal pay ","Anti-discr: Art 2 Parag 3 of Labor Code http://www.ilo.org/wcmsp5/groups/public/@ed_protect/@protrav/@ilo_aids/documents/legaldocument/wcms_113183.pdf; Mat leave: http://dfwatch.net/georgia-extends-maternity-leave-32183-22950"]
["Germany","Yes","Yes",2,{"$f":"(42+56)*1 +(309*0.65)","v":298.85000000000002},0.43371308323053487,1,1,0.88674261664610687,0.88255524861878454,2.5296343001261032,"14 weeks mat leave; no pat leave; 1 year parental at 65% minus 8 weeks postnatal","Paid Maternity + Paternity+ parental Pay: https://wageindicator.org/documents/decentworkcheck/europe/germany-english\nEqual Remuneration: The 1949 Constitution or 'Basic Law' (Article 3), and the Civil Code (Articles 611a and 612) (www.eurofound.europa.eu/observatories/eurwork/comparative-information/gender-pay-equity-in-europe)\nNon-Discrimination: General Act on Equal Treatment (Allgemeines Gleichbehandlungsgesetz, AGG)+ https://wageindicator.org/documents/decentworkcheck/europe/germany-english"]
["Ghana","Yes","Yes",2,"84",0.12190697336913142,0.66999999999999993,1,0.75838139467382626,0.75720441988950271,0.10592686002522068,"14 weeks mat leave; no pat or par leave ","https://wageindicator.org/documents/decentworkcheck/africa/ghana-english.pdf"]
["Greece","Yes","Yes",2,{"$f":"(119*1) + (2*1)","v":121},0.17560409259124884,1,1,0.83512081851824971,0.83342541436464079,2.150063051702396,"17 weeks mat leave + 2 days pat leave @ 100% each. No paid parental","Non-Discrimination: Acts 3896/2010 transposing Directive 2006/54 and 4097/2012 transposing\nDirective 2010/41 prohibit direct and indirect discrimination on grounds of sex and\nfamily status (http://www.equalitylaw.eu/downloads/3803-greece-country-report-gender-pdf-1-6-mb)+ http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Greece.FINAL.19april.pdf"]
["Guatemala","Yes","Yes",2,{"$f":"84+2","v":86},0.12480952035411073,1,0,0.62496190407082219,0.62375690607734813,0.10844892812105927,"2 days pat leave; 12 weeks mat leave. No paid parental leave. Equal pay: ART 89 and Anti disc ART 137 of Labor Code  http://www.wipo.int/edocs/lexdocs/laws/es/gt/gt015es.pdf","https://wageindicator.org/documents/decentworkcheck/latinamerica/guatemala-english"]
["Guinea","Yes","Yes",2,"98",0.14222480226398665,0.66999999999999993,1,0.7624449604527973,0.7610718232044198,2.1235813366960907,"14 weeks mat leave. No pat or par leave ","https://wageindicator.org/documents/decentworkcheck/africa/guinea-english"]
["Guinea-Bissau","No","Yes",1,"60",8.7076409549379591E-2,1,0,0.41741528190987598,0.21657458563535908,7.5662042875157626E-2,"60 days mat leave; can't find info on equal pay. WBL says anti-discrimination law","Mat leave: http://tbinternet.ohchr.org/Treaties/CRC/Shared%20Documents/GNB/INT_CRC_NGO_GNB_13809_E.pdf"]
["Guyana","Yes","Yes",{"$f":"COUNTIF(B67:C67,\"Yes\")","v":2},"91",{"$f":"(E67-$E$185)/($E$184-$E$185)","v":0.13206588781655904},1,1,{"$f":"(D67+F67+G67+H67)/5","v":0.82641317756331178},0.82513812154696142,2.1147540983606556,"No pat or par leave. 13 weeks mat leave. Extension to 6 months was though likely in 2018 but hasn’t happened. ","Mat Leave: http://www.nis.org.gy/maternity_benefit; Equal pay & anti discr.:  http://goinvest.gov.gy/wp-content/uploads/Prevention-of-Discrimination-cap9909.pdf"]
["Haiti","No","Yes",1,"42",6.0953486684565711E-2,0.66999999999999993,0,0.34619069733691316,0.14560220994475137,5.2963430012610342E-2,"6 weeks mat leave. . No info on equal pay. WBL says anti-discrim law","Labor Code 1984: http://amchamhaiti.com/home/summary-of-labor-code/"]
["Honduras","Yes","Yes",2,70,0.10158914447427618,1,1,0.82031782889485538,0.82320441988950288,1.1059268600252208,"No pat leave or par leave. Corrected to 10 (from 12) weeks mat leave based on Decent Work Check","https://wageindicator.org/documents/decentworkcheck/latinamerica/honduras-english"]
["Hong Kong SAR, China","Yes","Yes",2,{"$f":"56+4","v":60},8.7076409549379591E-2,1,1,0.81741528190987578,null,null,"70 days maternity leave at 80% of salary + 5 days paternity leave at 80% salary","Equal Pay / Non discrimination\nCap.480 Sex Discrimination Ordinance.\nSource: Hong Kong e-Legislation https://www.elegislation.gov.hk/hk/cap480!en-zh-Hant-HK?INDEX_CS=N&xpid=ID_1438403244314_001\nMaternity/Paternity Leave\nPaid maternity: 10 weeks. It is based on the Employment Ordinance, Cap. 57\nSource: https://www.labour.gov.hk/eng/faq/cap57h_whole.htm\nPaternity: 5 days. It is based on the Employment (Amendment) (No.3) Ordinance 2018 (Amendment Ordinance)\nSource: https://www.info.gov.hk/gia/general/201901/11/P2019011100352.htm?fontSize=1\n"]
["Hungary","Yes","Yes",2,{"$f":" (168*0.7) + (5*1)+  (590*0.7)","v":535.6},0.77730208257746181,0.66999999999999993,1,0.88946041651549235,0.8819558011049724,2.218158890290038,"168 mat leave @ 70%. +5 pat leave @ 100%. Par leave @ 70% for 2y minus mat leave"," http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Hungary.FINAL.9_may2017.pdf"]
["Iceland","Yes","Yes",2,{"$f":"3* (90*0.8)","v":216},0.3134750743777665,1,1,0.86269501487555333,0.85966850828729269,2.3455233291298865,"mat 3 mths, pat 3 mths, par 3 mths all @ 80% . ","http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Iceland.FINAL.2may2017.pdf; EQUAL PAY LAW WENT FURTHER IN ANTI-DISC FROM JAN 2018 http://www.bbc.co.uk/bbcthree/article/253d8b3e-1891-43ab-8848-4a5110bda171"]
["India","Yes","Yes",2,182,0.26413177563311807,0.66999999999999993,1,0.78682635512662358,0.78427624309392263,1.1059268600252208,"Mat leave 26 weeks, increased from 12 to 26 weeks in 2017. No pat or par leave. ","https://wageindicator.org/documents/decentworkcheck/asia/india-english"]
["Indonesia","Yes","Yes",2,{"$f":"90+2","v":92},0.1335171613090487,0.66999999999999993,1,0.7607034322618097,0.75941436464088397,0.11601513240857503,"3 months mat leave and 2 days pat leave. No par leave. ","https://wageindicator.org/documents/decentworkcheck/asia/indonesia-english"]
["Iran, Islamic Rep.","Yes","No",1,{"$f":"(270*0.67) + (14*1)","v":194.9},0.28285320368623468,0.33999999999999997,1,0.52457064073724691,0.52183977900552481,0.35813366960907944,"270 days@ 67% ; no parental leave; pat leave 14 days @ 100%. No parental leave","mat, pat leave and ant disc: http://reports.weforum.org/global-gender-gap-report-2015/economies/#economy=IRN; http://www.ingenere.it/en/articles/iranian-protests; equal work: section 38 in Labour Code http://www.ilo.org/dyn/natlex/docs/WEBTEXT/21843/64830/E90IRN01.htm"]
["Iraq","Yes","Yes",2,98,0.14222480226398665,0.33999999999999997,1,0.69644496045279725,0.69507182320441985,9.0794451450189162E-2,"14 weeks mat leave. ","Equal pay: Labor Law Art 145 Parag 5 http://www.ilo.org/dyn/natlex/docs/MONOGRAPH/96652/114261/F-218842884/IRQ96652%20Eng.pdf; Mat leave & anti discr: https://www.taylorvinters.com/news/iraq-widespread-changes-iraqi-labour-law/; http://www.tamimi.com/en/magazine/law-update/section-14/april-9/an-insight-into-the-new-iraqi-labour-law.html"]
["Ireland","Yes","Yes",2,{"$f":"(182*0.3) + (14*0.3)","v":58.800000000000004},8.5334881358391998E-2,1,1,0.81706697627167846,0.81624309392265193,2.2295081967213113,"26 weeks mat leave @ €245 a week representing 30% of average monthly salary of €3123 + 16 weeks unpaid;  2 weeks pat leave @ same rate as mat leave. Only unpaid parental  leave","http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Ireland.FINAL.2may2017.pdf"]
["Israel","Yes","Yes",2,{"$f":"(105*1)","v":105},0.15238371671141426,1,1,0.83047674334228283,0.83011049723756902,2.1235813366960907,"Mat leave extended by 1 week from Jan 2017; 15 weeks paid mat leave @ 100%, 11 unpaid;  pat leave 6 days but all is deducted from sickness or annual leave so not counted. Unpaid parental leave ","Mat & pat leave: https://www.haaretz.com/israel-news/.premium-1.778727+ http://www.kolzchut.org.il/en/Maternity_Leave http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Israel_2017_Final.pdf; Equal pay: http://www.ilo.org/dyn/natlex/natlex4.detail?p_lang=en&p_isn=49589&p_country=ISR&p_count=174; Anti-disc http://www.nbn.org.il/aliyahpedia/employment-israel/employee-compensation-rights-benefits-israel/employment-law-for-women/"]
["Italy","Yes","Yes",2,{"$f":" (60+90) *0.8 +7+(300*0.3)","v":217},0.3149263478702562,1,1,0.86298526957405119,0.85856353591160217,2.1929382093316518,"Pat leave increased to 7 days @ 100%; mat leave: 2 months prenatal + 3 months postnatal @ 80%;Parental leave: 11 months for both parents combined @30%","Paid Maternity + Paternity Pay: http://mdm.wageindicator.org/chart/maternity/380; Non-Discr: National Code of Equal Opportunities between Women and Men established in 2006 (D.L. 198/2006) (http://www.europarl.europa.eu/RegData/etudes/note/join/2014/493052/IPOL-FEMM_NT(2014)493052_EN.pdf) +https://wageindicator.org/documents/decentworkcheck/europe/italy-english"]
["Jamaica","Yes","No",1,"56",8.1271315579420952E-2,0.66999999999999993,0.5,0.45025426311588418,0.4494696132596685,7.0617906683480461E-2,"8 weeks mat leave paid","Mat leave:http://www.mlss.gov.jm/download/MaternityLeave.pdf; Equal pay: http://www.ilo.org/dyn/travail/docs/818/The%20Employment%20(Equal%20Pay%20for%20Men%20and%20Women)%20Act.pdf"]
["Japan","Yes","Yes",2,{"$f":"((42+56)*0.67)+ (124*0.67) + (185*0.5)","v":241.24},0.35010521732820554,0.66999999999999993,1,0.80402104346564107,0.80957458563535911,2.4539722572509457,"No pat leave. Mat leave: 6 weeks prenatal, 8 weeks postnatal, adjusted calculation to 67% of earnings from 100% following leavenetwork + parental leave 6 months @ 67% + 6 months @ 50% and deducted 8 weeks postnatal . "," Paid Maternity + Paternity + Parental Pay:http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Japan.FINAL.10may2017.pdf; https://wageindicator.org/documents/decentworkcheck/asia/japan-english; Equal Remuneration: Equal Employment Opportunity Law (EEOL) (http://apjjf.org/2014/12/45/Stephanie-Assmann/4211.html); Anti disc Equal Employment Opp Act:  http://knowledge.leglobal.org/anti-discrimination-laws-in-japan/"]
["Jordan","Yes","Yes",2,73,0.10594296495174517,0.66999999999999993,1,0.75518859299034902,0.55333701657458556,8.8272383354350573E-2,"10 weeks paid mat leave. NEW LABOUR LAW AUGUST 2019. End non-disc with fines, and adds 3 days pat leave. ","http://www.ilo.org/ifpdial/information-resources/national-labour-law-profiles/WCMS_158905/lang--en/index.htm"]
["Kazakhstan","Yes","Yes",2,{"$f":"(365*0.4)+ 19","v":165},0.23946012626079385,0.66999999999999993,0,0.58189202525215877,0.5722963308184934,1.1588902900378311," No pat leave. No separate mat pay. 2 payments to family: 1 year payment for social benefit  = 0.4*average wage/ Lump sum based on 19 days of average monthly wage. Corrected calculation from 139 to 165 based on DecentWork","https://wageindicator.org/documents/decentworkcheck/russia/kazakhstan-english"]
["Kenya","Yes","Yes",2,{"$f":"91+10","v":101},0.14657862274145564,0.66999999999999993,1,0.76331572454829111,0.76190055248618782,2.1311475409836067,"10 days pat leave @ 100%; 91 days mat leave @ 100%; no parental. Employment Act of 2007 requires equal pay for equal value and prohibits gender discrimination. ","Non-Discrimination and Equal Pay for Equal Work: Oxfam Kenya: http://www.kenyalaw.org/kl/fileadmin/pdfdownloads/Acts/EmploymentAct_Cap226-No11of2007_01.pdf - see Section 5 - Discrimination in Employment + https://wageindicator.org/documents/decentworkcheck/africa/kenya-english.pdf"]
["Kiribati","Yes","Yes",2,"84",0.12190697336913142,1,1,0.82438139467382643,0.42320441988950275,1.1059268600252208,"12 weeks mat leave @ 100%; no pat or par leave. WBL says are equal pay and anti-discrimination laws","Mat leave: http://www.health.gov.ki/public-health-services.html#nutrition + https://www.state.gov/documents/organization/265554.pdf;  Anti-disc & euqal pay http://www.parliament.gov.ki/constitution/;  https://www.state.gov/documents/organization/265554.pdf; "]
["Korea, Rep.","Yes","Yes",2,{"$f":"(45+45+3) *1 + ((270+225)*0.5) + (180*0.9)","v":502.5},0.72926492997605408,0.66999999999999993,1,0.87985298599521078,0.85029834254143632,1.1172761664564943," mat leave 45 pre natal + 45 post natal; pat leave 3; 1 year each of parental: 3months@90%(average of % paid to mother and father) + 9 months @50%. Changed calculation for different percentages and corrected days","Mat, pat leave: http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Korea.FINAL.24may2017.pdf; equal pay & anti disc: - section d : http://www.state.gov/j/drl/rls/hrrpt/humanrightsreport/index.htm?year=2016&dlid=265346"]
["Kosovo","Yes","Yes",2,{"$f":"(180*0.7) + (90*0.5) + (2*1)","v":173},0.25107031420071113,0,1,0.65021406284014227,0.78179005524861878,2.2345523329129886,"Mat leave: 6 months  @70%; 3 months @ 50%, 3 months unpaid;   + 2 days pat leave @ 100%","Paid Mat + PatPay: http://kosovotwopointzero.com/en/veshtiresite-e-te-qenit-nene-e-punesuar-ne-kosove/+ Labor Code http://www.assembly-kosova.org/common/docs/ligjet/2010-212-eng.pdf; Anti-disc: Art 3 Parag 1.17 & Equal Pay Art 55 Parag 3 of  Labor Code http://www.assembly-kosova.org/common/docs/ligjet/2010-212-eng.pdf"]
["Kuwait","Yes","Yes",2,"70",0.10158914447427618,1,0,0.62031782889485521,0.48733701657458556,8.8272383354350573E-2,"10 weeks mat leave @ 100%; no pat nor par leave ","https://wageindicator.org/documents/decentworkcheck/gulf-middle-east/kuwait-english"]
["Kyrgyz Republic","Yes","Yes",2,{"$f":"10+ (10 /12*365)","v":314.16666666666669},0.45594175555716815,0.66999999999999993,0,0.62518835111143356,0.62078637200736642,0.15889029003783103,"70 days before birth and 56 days after. No pat or parental leave. 126 days  Maternity leave benefits (% of wages paid in covered period); 100% for the first 10 working days covered by employer;For the rest of the maternity leave, average wage up to a max of 10 months (10 times the  benchmark amount)  \n\n\n","Mat leave: http://www.ilo.org/wcmsp5/groups/public/---europe/---ro-geneva/---sro-moscow/documents/publication/wcms_312651.pdf+Labor Law: http://www.loc.gov/law/foreign-news/article/kyrgyzstan-reproductive-rights-now-specified-by-law/.  Equal pay and anti disc in law on Equal Rights http://www.legislationline.org/documents/action/popup/id/15487; "]
["Lao PDR","Yes","Yes",2,{"$f":"(105*0.8)+ (3*1)","v":87},0.12626079384660041,{"$f":"VLOOKUP($A90,L_Source_Laws,2,FALSE)","v":0.66999999999999993},{"$f":"VLOOKUP($A90,L_Source_Laws,3,FALSE)","v":1},0.75925215876932006,0.75803314917127074,0.13619167717528374,"105 mat leave @ 80% +  3 days pat leave @ 100% . No parental leave","Mat & pat, equal pay, anti-disc  Ch VI Art 98 & 58, Section XII Art 141: https://www.ilo.org/dyn/natlex/docs/MONOGRAPH/96369/113864/F1488869173/LAO96369%20Eng.pdf; maternity benefit info from Social Security Law Art 19 http://www.ilo.org/dyn/natlex/docs/ELECTRONIC/95117/128492/F1193623474/LAO95117%20Eng.pdf; "]
["Latvia","Yes","Yes",2,{"$f":"(56+56+10)*0.8+(309*0.6)+(180*0.4375)","v":361.75},0.52499818590813441,0.66999999999999993,1,0.83899963718162685,0.83393093922651929,2.6141235813366963,"112 mat leave @ 80%; 10 days pat leave @ 80%; parental 1 y @60% + 6 months @ 43.75%","Paid Maternity + Paternity + Parental Pay:https://wageindicator.org/documents/decentworkcheck/europe/latvia-english\nNon-Disc & Equal Pay : Wage Indicator + Labor Law (http://unpan1.un.org/intradoc/groups/public/documents/UNTC/UNPAN018399.pdf)"]
["Lebanon","No","Yes",1,{"$f":"70+3","v":73},0.10594296495174517,0.66999999999999993,1,0.55518859299034895,0.41933701657458561,8.8272383354350573E-2,"10 weeks mat leave @ 100%, extended in 2014. 3 days pat leave from 2018. WBL says anti-discrim law but not equal pay","Mat leave: https://ritachemaly.wordpress.com/2014/05/06/maternity-leave-in-lebanon-is-of-10-weeks-it-was-published-in-the-official-gazette/; http://www.dailystar.com.lb/News/Local-News/2012/May-01/171995-10-week-maternity-leave-too-short-mothers.ashx; http://www.dawlati.gov.lb/en/news-detail/-/asset_publisher/TnfLM2HDHkp4/content/new-maternity-leave-law"]
["Lesotho","Yes","Yes",2,0,0,1,1,0.8,0.8,1.1059268600252208,"12 weeks mat leave but unpaid. Some sectors provide paid leave but at employers' discretion. No pat or par leave. ","https://wageindicator.org/documents/decentworkcheck/africa/lesotho-english; https://mdm.wageindicator.org/chart/maternity/426"]
["Liberia","Yes","Yes",2,98,0.14222480226398665,0.66999999999999993,0.5,0.66244496045279733,0.66107182320441982,2.1134930643127365,"Mat leave extended to 14 weeks @ 100%  in 2016. 5 days paternity but unpaid so not included. ","Equal Remuneration & Anti-Discrinimation :Liberia Decent Work Act (2016) (https://www.slideshare.net/ssolidarites/decent-work-act-of-liberia-passed-into-law); Mat :  https://liberianjue.com/2016/09/25/a-look-at-liberias-new-maternity-law/ ,mat leave at full pay https://www.slideshare.net/ssolidarites/sumary-of-liberian-labour-law",null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"70+56+30+309","v":465}]
["Libya ","Yes","Yes",2,"98",0.14222480226398665,0.33999999999999997,1,0.69644496045279725,0.69507182320441985,{"$error":"#N/A"},"14 weeks mat leave at full pay.  No pat or par leave ","Mat leave Art 25; Non disc & equal pay Art 2 and 24 of Labor code  http://www.ilo.org/dyn/travail/docs/2079/Law%20No.%2012%20for%202010%20concerning%20of%20labor%20relations.pdf; Mat leave  https://www.lexology.com/library/detail.aspx?g=05537193-bd99-482c-a4de-a5d889aae2b5;",null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"70+56+30+(309*0.7)+(365*0.4)","v":518.29999999999995}]
["Lithuania","Yes","Yes",2,{"$f":"126+28+335.5","v":489.5},0.71039837457368848,0.66999999999999993,1,0.87607967491473782,0.93399999999999994,1.5435056746532156,"anti disc legislation introduced on 1 Jan.2017;\nMat 126 days@100%; pat 28 days @100%. Parentalleave two options: 309 days @100%, or 309@70% followed by 365@40% (total 362). Average of the two =335.5.LARGE CHANGE IN CALCULATION AS AVERAGE WAS MISCALCULATED\n","Paid Mat + Pat + Par leave: https://wageindicator.org/documents/decentworkcheck/europe/lithuania-english.FINAL.pdf DATED SEPT 2017; Anti disc:  http://www.equalitylaw.eu/downloads/3969-lithuania-amendments-to-the-national-anti-discrimination-legislation-adopted-by-the-parliament-pdf-143-kb",null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"(AB94+AB95)/2","v":491.65}]
["Luxembourg","Yes","Yes",2,{"$f":"(56+84+10)*1+ (124*1)","v":274},0.3976489369421668,1,1,0.87952978738843335,0.86574585635359114,2.1437578814627996,"Paid Mat+ Pat+Par Pay: 56 prenatal +84 postnatal @100% + 2 pat leave @100% + par leave 6 months minus 56 postnatal @ 100%.  There are different options for par leave but I took 6 months paid for full time worker; http://www.reforme-famille.public.lu/fr/conge-parental/flexibilisation.html\n2020 - Now mat= 56+84 (7+12 weeks) and pat = 10 days, effectively at 100% (€10,356 per month) except for very richest. Parental stays as calculated last time. Need to check whether has been made more generous or calc was wrong ? ","Paid Mat+ Pat+Par Pay: http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Luxembourg.FINAL.9may2017.pdf; http://mdm.wageindicator.org/chart/maternity/442\nEqual Remuneration: The 1981 law relating to equal treatment between men and women, and the 1974 Grand-Ducal Regulation of relating to equal pay for men and women (Articles 1, 2, 3(1), 3(2) and 4)  (www.eurofound.europa.eu/observatories/eurwork/comparative-information/gender-pay-equity-in-europe) + https://wageindicator.org/documents/decentworkcheck/europe/luxembourg-english +http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Luxembourg.FINAL.9may2017.pdf"]
["North Macedonia","Yes","Yes",2,{"$f":"(274*1) + (7*1)","v":281},0.40780785138959441,0.66999999999999993,1,0.81556157027791887,0.81162430939226515,1.3404791929382094,"9 months paid mat leave + 7 days paid pat leave @ 100%; 3 months unpaid parental leave. ","equal pay, mat, pat leave : http://ec.europa.eu/newsroom/document.cfm?doc_id=41874"]
["Madagascar","Yes","Yes",2,"98",0.14222480226398665,0.66999999999999993,1,{"$f":"(D99+F99+G99+H99)/5","v":0.7624449604527973},0.56107182320441995,0.1235813366960908,"14 weeks mat leave @ 100%. No pat or par leave. Equal pay and non-discromination are in the labour code","https://wageindicator.org/documents/decentworkcheck/africa/madagascar-english"]
["Malawi","Yes","Yes",2,"56",8.1271315579420952E-2,0.66999999999999993,1,0.75025426311588417,0.54946961325966848,1.0706179066834804,"8 weeks mat leave @ 100%. No pat or par leave .  Non-discrimination is in Employment and Gender Equality Acts acc Decent Work","https://wageindicator.org/documents/decentworkcheck/africa/malawi-english"]
["Malaysia","Yes","Yes",2,60,8.7076409549379591E-2,0.66999999999999993,1,0.75141528190987583,0.75057458563535906,7.5662042875157626E-2,"60 days mat leave @ full normal pay. No par or pat leave. ","https://wageindicator.org/documents/decentworkcheck/asia/malaysia-english"]
["Maldives","Yes","Yes",2,{"$f":"60+3","v":63},9.1430230026848566E-2,0.33999999999999997,1,0.68628604600536969,0.68540331491712703,1.0794451450189155,"60 days mat leave @ 100% + 3 days pat leave unpaid parental only so not included. 6 months and 1 month for civil service 2019.","Mat & pat leave: Art 43 & 48 of of Employment Act:  https://www.ilo.org/dyn/natlex/docs/ELECTRONIC/85764/96218/F1772069692/MDV85764%20English.pdf;   Non disc: Ch 2 parag 4 "]
["Mali","Yes","Yes",2,{"$f":"98+3","v":101},0.14657862274145564,0.66999999999999993,0,0.56331572454829115,0.56190055248618775,0.12736443883984869,"14 weeks mat leave  & 3 days pat leave @ 100%","https://wageindicator.org/documents/decentworkcheck/africa/mali-english"]
["Malta","Yes","Yes",2,{"$f":"(98*1)+(28*0.3)+(1)","v":107.4},0.15586677309338948,1,1,0.83117335461867792,0.82966850828729277,2.1601513240857502,"126 days mat leave (14 @100%, 4 @30% - min W which is 30% of ave W) + (5 days for public sector). Unpaid par leave only. ","https://wageindicator.org/documents/decentworkcheck/europe/malta-english; "]
["Mauritania","Yes","Yes",2,"98",0.14222480226398665,1,0,0.6284449604527973,0.6270718232044199,1.1235813366960907,"14 weeks mat leave @ 100% ; not pat or par leave ","Mat leave, equal pay & non disc:  Art  39, 191 et 395 du Code du Travail http://www.droit-afrique.com/upload/doc/mauritanie/Mauritanie-Code-2004-du-travail-MAJ-2009.pdf"]
["Mauritius","Yes","Yes",2,{"$f":"98+5","v":103},0.14948116972643496,0.66999999999999993,1,0.76389623394528694,0.76245303867403313,2.112232030264817,"14 weeks mat leave @ 100%. 5 days pat leave @ 100%","Mat leave: http://www.govmu.org/English/News/Pages/National-Assembly-votes-legislation-to-extend-maternity-leave-to-14-weeks-.aspx; Pat leave Parag 31 and non disc Section 2 parag 4, equal pay parag 5: https://www.mcci.org/media/35813/employment-rights-act.pdf"]
["Mexico","Yes","Yes",2,{"$f":"84+5","v":89},0.12916334083157971,1,1,0.82583266816631595,0.82458563535911611,1.1122320302648172,"5 days pat leave, 84 days mat leave both @ 100%. No parental leave ","https://wageindicator.org/documents/decentworkcheck/latinamerica/mexico-english; http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Mexico.FINAL.20april.pdf"]
["Moldova","Yes","Yes",2,"126",0.18286046005369713,0.66999999999999993,1,0.7705720920107394,0.76880662983425407,1.1588902900378311,"No findings on par leave. Mat leave 126 days @ 100%","Mat leave: https://www.ssa.gov/policy/docs/progdesc/ssptw/2010-2011/europe/moldova.html + http://www.fedee.com/kb/moldova-maternity-leave/+ https://www.iom.int/jahia/webdav/shared/shared/mainsite/activities/countries/docs/moldova_factsheet.pdf; Anti-discr http://www.loc.gov/law/foreign-news/article/moldova-various-forms-of-discrimination-are-banned-by-law/; equal pay: see section D http://www.state.gov/j/drl/rls/hrrpt/humanrightsreport/index.htm?year=2016&dlid=265450"]
["Mongolia","Yes","Yes",2,"120",0.17415281909875918,0.66999999999999993,1,0.7688305638197519,0.76714917127071813,0.15132408575031525,"No pat leave, only unpaid 'child care leave'; Mat leave 120 days @ 100%","https://wageindicator.org/documents/decentworkcheck/asia/mongolia-english"]
["Montenegro","Yes","Yes",2,410,0.59502213192076048,null,null,0.51900442638415212,0.5132596685082873,2.5170239596469104,"Info from previous update: maternity max 90 days, parental 365 but 45 of maternity deducted, paternity 7 but deducted, so total is maternity 45 +parental 365. Leave paid at 100% ","Paid Maternity + Paternity Pay & Equal Pay & Anti-Disc : http://ec.europa.eu/justice/gender-equality/files/ge_country_reports_d1/2015-me-country_report_ge_final.pdf; Labour law http://www.velikaplaza.info/docs/Labour_law.pdf"]
["Morocco","Yes","Yes",2,{"$f":"98+3","v":101},0.14657862274145564,{"$f":"VLOOKUP($A111,L_Source_Laws,2,FALSE)","v":0.66999999999999993},{"$f":"VLOOKUP($A111,L_Source_Laws,3,FALSE)","v":1},0.76331572454829111,0.76190055248618782,2.1273644388398485,"14 weeks paid mat leave @ 100% + 3 days pat leave ","Mat leave & Pat leave, Equal pay & Anti-disc - Code du Travail: http://www.ilo.org/dyn/travail/docs/450/Maroc%20-%20Code%20travail.pdf"]
["Mozambique","Yes","Yes",2,{"$f":"90+1","v":91},0.13206588781655904,1,1,0.82641317756331178,0.82513812154696142,7.6923076923076927E-2,"Mat leave increased in 2017 from from 60 to 90 days in  2017  + 1 day pat leave both on full pay. No parental leave","https://www.rtp.pt/rdpafrica/noticias-africa/periodo-de-licenca-de-maternidade-em-mocambique-aumenta_8268; https://wageindicator.org/documents/decentworkcheck/africa/mozambique-english-old-old.pdf"]
["Myanmar","Yes","Yes",2,{"$f":"(98*0.7) + (15*0.7)","v":79.099999999999994},0.11479573325593208,0.66999999999999993,1,0.75695914665118635,0.75585082872928178,0.1424968474148802,"15 days pat leave; 14 weeks mat leave both  @ 70% ","https://wageindicator.org/documents/decentworkcheck/asia/myanmar-english"]
["Namibia","Yes","Yes",2,"84",0.12190697336913142,1,1,0.82438139467382643,0.82320441988950288,2.1059268600252206,"12 weeks paid mat leave @ 100%. No paternity or parental leave. ","Mat leave: hhttps://www.ssc.org.na/funds/Maternity-Sick-Death-Benefit-Fund/23/; Equal pay & anti-disc http://www.mol.gov.na/documents/432260/1685800/2007_LabourAct.pdf/2f4ad2c4-f075-440b-bfd9-a658a7323e0c"]
["Nepal","Yes","No",1,"52",7.5466221609462314E-2,1,1,0.6150932443218925,0.6143646408839778,6.5573770491803282E-2,"Increased mat leave from 52 to 60 days and introduced 15 days pat leave in 2018. No par leave. ","Mat leave, Equal Pay - Ch 3 Section 34,  11:  http://www.ilo.org/dyn/natlex/docs/WEBTEXT/36026/64908/E93NPL01.htm#c3"]
["Netherlands","Yes","Yes",2,{"$f":"112+5","v":117},0.16979899862129019,1,1,0.83395979972425816,0.83149171270718225,2.1437578814627996,"112 mat leave @ 100% (but with ceiling of €209); 5 days pat leave @ 100%; unpaid parental leave","https://wageindicator.org/documents/decentworkcheck/europe/netherlands-english; http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Netherlands.FINAL.24may2017.pdf",null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"49*7","v":343}]
["New Zealand","Yes","Yes",2,154,0.22349611784340762,1,1,0.84469922356868155,0.83480662983425413,1.1412358133669609,"new terminology : mat leave= Primary Carer leave = 18 weeks @ 100%  ; pat leave= partner’s leave , No extra payment, although an eligible spouse/partner can transfer their entitlement of the statutory payment; by 2019,  increased to 22 weeks. Due to increase to 26 weeks in 2020. ","http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/New_Zealand_2017_final.pdf; anti-disc http://www.legislation.govt.nz/act/public/2000/0024/latest/DLM60332.html; equal pay: http://www.legislation.govt.nz/act/public/1972/0118/latest/DLM408034.html?search=sw_096be8ed8167fd77_equal+pay_25_se&p=1"]
["Nicaragua","Yes","Yes",2,{"$f":"84+5","v":89},0.12916334083157971,0.66999999999999993,1,0.75983266816631589,0.75858563535911605,0.11223203026481715,"12 weeks mat leave @ 100%; 5 days pat leave @ 100%. No parental leave","https://wageindicator.org/documents/decentworkcheck/latinamerica/nicaragua-english; https://mdm.wageindicator.org/chart/maternity/558"]
["Niger","Yes","Yes",2,{"$f":"98+1","v":99},0.14367607575647631,0.66999999999999993,1,0.76273521515129528,0.76134806629834251,2.1248423707440103,"18 weeks mat leave & 1 days pat leave @ 100%.  No parental leave. ","https://wageindicator.org/documents/decentworkcheck/africa/niger-english; https://mdm.wageindicator.org/chart/maternity/562"]
["Nigeria","No","No",0,{"$f":"84*0.5","v":42},6.0953486684565711E-2,0.66999999999999993,0,0.14619069733691312,0.14560220994475137,0.10592686002522068,"12 weeks mat leave @50%. No pat or parental leave. No equal pay or non-discrimination law acc DecentWork","https://wageindicator.org/documents/decentworkcheck/africa/nigeria-english; https://mdm.wageindicator.org/chart/maternity/566; equal pay/anti disc: section D http://www.state.gov/j/drl/rls/hrrpt/humanrightsreport/index.htm?year=2016&dlid=265288"]
["Norway","Yes","Yes",2,{"$f":"49*7","v":343},0.4977868079239533,1,1,0.8995573615847906,0.8947513812154696,2.5208070617906682,"No separate mat leave but part of the parental leave. 59 weeks parental benefit at 80% or 49 weeks @ 100%. Using 49 weeks options as paid in full. ","Parental leave includes mat and pat: https://www.nav.no/en/Home/Benefits+and+services/Relatert+informasjon/parental-benefit; https://wageindicator.org/documents/decentworkcheck/europe/norway-english"]
["Occupied Palestinian Territory","Yes","Yes",2,"70",0.10158914447427618,1,0,0.62031782889485521,0.35333701657458561,8.8272383354350573E-2,"10 weeks mat leave @ 100%, no pat or par leave. No info on equal pay so using WBL","Mat leave: http://www.ilo.org/beirut/media-centre/news/WCMS_529546/lang--en/index.htm; Anti-disc Art 100 and mat leave Art 103 :http://legal.pipa.ps/files/server/ENG%20Labour%20Law%20No_%20(7)%20of%202000.pdf"]
["Oman","No","Yes",1,"50",7.2563674624482988E-2,0.66999999999999993,0,0.34851273492489659,0.34781215469613258,6.3051702395964693E-2,"50 days mat leave on full pay. No provisions for par or pat leave. No equal pay legislation acc DecentWork","https://wageindicator.org/documents/decentworkcheck/gulf-middle-east/oman-english.pdf"]
["Pakistan","Yes","Yes",2,"84",0.12190697336913142,0.33999999999999997,1,0.69238139467382631,0.69120441988950276,0.10592686002522068,"12 weeks mat leave @ 100%. No pat or par leave","https://wageindicator.org/documents/decentworkcheck/asia/pakistan-english; https://mdm.wageindicator.org/chart/maternity/586"]
["Panama","Yes","Yes",2,"98",0.14222480226398665,1,1,0.82844496045279725,0.82707182320441996,0.1235813366960908,"14 weeks paid mat leave @ 100%. No pat or par  leave ","Mat leave section 3 F (iii): https://www.terralex.org/publication/p80128a914f; also see section II B for Anti-disc and equal pay:  Article 67 of the Political Constitution grants employees the right to equal salary and to equal work conditions without discrimination based on gender, citizenship, age, race, social class or political or religious ideas.  Law 11 of 2005 prohibits discrimination on these same factors in the recruitment and hiring of employees. + see section 5.6.2 https://www.dol.gov/ilab/reports/pdf/panama_LRR.pdf"]
["Papua New Guinea","No","Yes",1,"0",0,0.33999999999999997,0,0.26799999999999996,6.7999999999999991E-2,0,"WBL says no equal pay but yes anti-discrimination; Mat leave only for civil servants http://www.pg.undp.org/content/papua_new_guinea/en/home/presscenter/pressreleases/2016/03/11/papua-new-guinea-maternity-leave-policies.html","From Oxfam PNG: equal pay = The Employment Act 1978 is prescribed legislation that covers law on employment for private sector  however it is silent on equal pay for equal work. The two pieces of legislation is the PNG Constitution and Discriminatory Act 1963 (attached). The employment act is silent on anti-discrimination and where is silent the organisation policies do cover . Mat leave: 108 days min but unpaid so not counted (See Employment Act 1978 Art. 100) .  Anti disc: PNG Constitution and Discriminatory Act 1963 (attached). The employment act is silent on anti-discrimination and where is silent the organisation policies do cover ."]
["Paraguay","Yes","Yes",2,{"$f":"126+ 14","v":140},0.20317828894855236,1,1,0.8406356577897105,0.82997237569060778,1.0819672131147542,"percentage of wages paid for 18 week mat leave rose from 75% to 100% on 30.10.18; 2 weeks pat leave @ 100%. No parental. ","https://wageindicator.org/documents/decentworkcheck/latinamerica/paraguay-english; https://mdm.wageindicator.org/chart/maternity/600"]
["Peru","Yes","Yes",2,{"$f":"98+10","v":108},0.15673753718888325,1,1,0.83134750743777663,0.82817679558011048,1.1185372005044136,"In Oct 2015,  Act  No.  26644,  decided  to extend  the  period  of mat  leave from 90 to 98 days @ 100%  At end 2018 extended pat leave to 10 from 4 days @ 100%","https://wageindicator.org/documents/decentworkcheck/latinamerica/peru-english"]
["Philippines","Yes","Yes",2,{"$f":"105+7","v":112},0.1625426311588419,0.66999999999999993,1,0.76650852623176835,0.7525082872928176,1.0844892812105926,"Bill increasing mat leave to 105 days from 60 approved end-2018; also 7 days pat leave (+7 days of the 105 can be transferred to father). Both at 100%. No parental. ","Mat leave: http://www.laborlaw.ph/628/maternity-leave-2/; Pat leave: 07/11/2017http://www.manilatimes.net/holidays-included-in-paternity-leave-benefits/81771/. Also here https://wageindicator.org/documents/decentworkcheck/asia/philippines-english; Equal pay & anti-disc: Art 135 of Labor Code https://www.dole.gov.ph/labor_codes/view/4"]
["Poland","Yes","Yes",2,{"$f":"(365*0.8) + (14*1)","v":306},0.44408968870183591,1,1,0.88881793774036721,0.88453038674033146,2.4766708701134932,"Mat+parental = 52 weeks@80%; pat 14 days @100%","Non-Discrimination: Ustawa z dnia 24 sierpnia 2001 r. o zmianie ustawy - Kodeks pracy oraz o zmianie niektórych innych ustaw\n[Act of 24th August 2001 amending the Act – Labour Code], Journal of Laws 2001, no 128, item 1405 (http://www.europarl.europa.eu/document/activities/cont/201107/20110725ATT24649/20110725ATT24649EN.pdf); https://wageindicator.org/documents/decentworkcheck/europe/poland-english;"]
["Portugal","Yes","Yes",2,{"$f":"150+25+(180*0.25)","v":220},0.31928016834772516,1,1,{"$f":"(D131+F131+G131+H131)/5","v":0.863856033669545},0.84958563535911602,2.2143757881462798," Maternity 150 @ 100% (including \"sharing bonus\")+ Paternity 25 @ 100%+ parental 2x90 days minus postnatal @ 25% (paid only if immediately after mat/pat)","http://mdm.wageindicator.org/chart/maternity/620; https://wageindicator.org/documents/decentworkcheck/europe/portugal-english"]
["Qatar","Yes","No",{"$f":"COUNTIF(B132:C132,\"Yes\")","v":1},"50",{"$f":"(E132-$E$185)/($E$184-$E$185)","v":7.2563674624482988E-2},0.66999999999999993,1,0.54851273492489661,0.54781215469613254,6.3051702395964693E-2,"50 days mat leave @ 100% , no pat or par leave. Labour Lw ensures equal pay but not non-discrimination","https://wageindicator.org/documents/decentworkcheck/gulf-middle-east/qatar-english"]
["Romania","Yes","Yes",2,{"$f":"((63+63)*0.85) + (15*1)+ (667*0.85)","v":689.05},1,0.66999999999999993,1,0.93399999999999994,0.90591988950276237,3,"Maternity 126 days @85%+ Paternity 15 days @ 100 +parental 2 years @85% minus postnatal . Includes 10 days of pat leave if father attends infant care course ",": http://mdm.wageindicator.org/chart/maternity/642; https://wageindicator.org/documents/decentworkcheck/europe/romania-english"]
["Russian Federation","Yes","No",1,{"$f":"(70+70)*1 + (477*0.4)","v":330.8},0.48008127131557948,0.66999999999999993,1,0.63001625426311592,0.62538121546961323,0.17654476670870115,"140 days mat leave @ 100%, no pat leave; parental leave 18 months @40% minus postnatal. \nDecentWork and WBL suggest non-discrimination law exists but see Oxfam Russia comments on non-discrim on right","Mat & parental, Equal pay : https://wageindicator.org/documents/decentworkcheck/russia/russia-english. Non disc: from Oxfam Russia\" RUS law prohibits (since 2013) formal gender discrimination in job-advertisements (but we do not consider this sufficient to score ‘YES’ against the abovementioned subindicator)\" + \"  Oxfam’s team in Russia has pointed me out to the fact that more than 450 professions are formally inaccessible to women according to the Governmental Decree N 162 dated 25.02.2000 (still enforced). Here’s the reference (only in RUS): http://base.garant.ru/181761/ \" which shows the existence of discrimination in hiring. "]
["Rwanda","Yes","Yes",2,{"$f":"(42*1) + (42*0.2)","v":50.4},7.3144184021478847E-2,{"$f":"VLOOKUP($A135,L_Source_Laws,2,FALSE)","v":1},{"$f":"VLOOKUP($A135,L_Source_Laws,3,FALSE)","v":1},0.81462883680429576,0.81392265193370172,2.1109709962168979,"84 mat leave: 42 days @ 100%, 42 days @ 20%. 4 days pat leave @ 100%. No parental leave","https://wageindicator.org/documents/decentworkcheck/africa/rwanda-english; Equal Remuneration: Article 30 of the Constitution of the Republic of Rwanda 2003 revised in 2015; Article 12 of the Law regulating Labour in Rwanda 2009 (aka Labour Code)\nNon-Discrimination: Article  11 of the Constitution of the Republic of Rwanda 2003 revised in 2015; Articles12 & 97 of the Law regulating Labour in Rwanda, 2009 (aka Labour Code) + https://wageindicator.org/documents/; decentworkcheck/africa/rwanda-english.pdf for mat and pat leave as well as https://mdm.wageindicator.org/chart/maternity/646"]
["Samoa","Yes","Yes",2,{"$f":"28+5","v":33},4.7892025252158771E-2,0.66999999999999993,0,0.54357840505043176,0.54311602209944754,1.0416141235813368,"28 days mat leave for a consecutive period of at least four (4) weeks with full pay and two (2) weeks without pay ; 5 days pat leave. ","Mat & pat leave: Art 44 & 46; Equal pay & anti-discr Art 19 & 20 in Labor & Employment relations 2013 No 7  https://www.ilo.org/dyn/natlex/docs/ELECTRONIC/.../WSM93575%20Eng.pdf"]
["Sao Tome and Principe","Yes","Yes",2,98,0.14222480226398665,1,1,0.82844496045279725,0.4165745856353591,0.11349306431273644,"new labour law 2019 guarantees equal pay and non-disc. Also 40 hour work week and 98 days mat leave @ 100%. No reference to pat leave. ","Lab law: http://www.dre.gov.st/resources/documentos/diarios/Dr_2019_n_22_SI.pdf\nMat leave: http://www.ine.st/Documentacao/Recenseamentos/2012/TemasRGPH2012/6%20MULHERES%20Recenseamento%202012.pdf;  https://www.ssa.gov/policy/docs/progdesc/ssptw/2012-2013/africa/sao-tome-and-principe.pdf",{"$f":"14*7","v":98}]
["Saudi Arabia","Yes","Yes",2,{"$f":"70+3","v":73},0.10594296495174517,0.33999999999999997,1,0.68918859299034907,0.68816574585635348,8.953341740226986E-2,"70 days mat leave; 3 days pat leave. Both @ 100%.  No parental leave ","https://wageindicator.org/documents/decentworkcheck/gulf-middle-east/saudi-arabia-english.pdf; mat and pat leave only. "]
["Senegal","Yes","Yes",2,{"$f":"98+1","v":99},0.14367607575647631,0.66999999999999993,1,0.76273521515129528,0.76134806629834251,0.12484237074401008,"98 days mat leave; 1 day pat leave, both @ 100%. No parental leave ","https://wageindicator.org/documents/decentworkcheck/africa/senegal-english+https://mdm.wageindicator.org/chart/maternity/686"]
["Serbia","Yes","Yes",2,{"$f":"(365+7) *1","v":372},0.53987373920615345,0.66999999999999993,1,0.84197474784123061,0.83676243093922653,1.2559899117276165," paternity 7 days;  Pregnancy leave and childcare leave jointly last 365 days and are fully compensated by the state. So 365 days @100%","Paid Mat+ Pat Pay & Equal Pay & Anti-disc : http://ec.europa.eu/justice/gender-equality/files/ge_country_reports_d1/2015-rs-country_report_ge_final.pdf"]
["Seychelles","Yes","Yes",2,{"$f":"98+5","v":103},0.14948116972643496,1,1,0.82989623394528711,0.82845303867403319,0.1235813366960908,"14 weeks mat leave +5 pat leave introduced in 2015, 100%.  ","Mat leave: http://www.employment.gov.sc/faq-industrial-relation; Pat leave: https://www.ilo.org/dyn/natlex/docs/ELECTRONIC/101269/121932/F-228858229/SEY101269.pdf; Anti disc: art 46A (1) http://www.ilo.org/wcmsp5/groups/public/---ed_protect/---protrav/---ilo_aids/documents/legaldocument/wcms_127612.pdf. Equal pay : https://www.state.gov/documents/organization/252935.pdf"]
["Sierra Leone","No","No",0,"84",0.12190697336913142,1,1,0.42438139467382624,0.42320441988950275,0.10592686002522068,"12 weeks mat leave @ 100%. No pat or par leave. No legal info on equal pay or anti disc ","Mat leave: https://www.globalization-partners.com/globalpedia/sierra-leone/; http://wbgfiles.worldbank.org/documents/hdn/ed/saber/supporting_doc/CountryReports/ECD/SABER_ECD_SierraLeone_CR_Final_2013R.pdf"]
["Singapore","No","No",0,{"$f":"(112*1) + (14*1)","v":126},0.18286046005369713,0.66999999999999993,1,0.37057209201073943,0.36880662983425416,0.14123581336696092,"No legislation on equal pay and anti disc; 16 weeks paid mat leave; since Jan 2017 pat leave 2 weeks ; par leave: 4 weeks for father as share of mat leave so not included","Mat leave/Pat and par leave :http://www.mom.gov.sg/employment-practices/leave"]
["Slovak Republic","Yes","Yes",2,{"$f":"((49+189)*0.75) + (906*0.204)","v":363.32399999999996},0.52728249038531305,1,1,0.90545649807706263,0.89379116022099436,2.300126103404792,"Btw 6-8 prenatal so picked 7=49 days. 34 weeks postnatal minus 7= 27*7=189days @75%; \n no paternity; 36 months/1095 days @ €214.7 for 3 years max. 906= 1095 minus postnatal ; Average monthly wage from ILO DB: 1044. 213 /1044=20.4% of average wage","https://wageindicator.org/documents/decentworkcheck/europe/slovakia-english. https://mdm.wageindicator.org/chart/maternity/703"]
["Slovenia","Yes","Yes",2,{"$f":"105+30+260","v":395},0.57325302953341561,0.66999999999999993,1,0.84865060590668295,0.84311602209944747,2.4981084489281211,"105 mat leave @ 100%; 30 days pat leave @ 100%; 260 parental leave (130 per parent) @ 100%"," https://wageindicator.org/documents/decentworkcheck/europe/slovenia-english; Paid Maternity + Paternity Pay: http://mdm.wageindicator.org/chart/maternity/705"]
["Solomon Islands","No","No",0,{"$f":"84*0.25","v":21},3.0476743342282855E-2,1,0,0.20609534866845655,0.20580110497237566,0.10592686002522068,"12 weeks mat leave @ 25%. No pat or par leave. No equal pay or anti-disc legislation","Mat leave: http://www.ilo.org/dyn/travail/docs/1300/Labour%20Act.pdf"]
["South Africa","Yes","Yes",2,{"$f":"(121*0.66) + (10*0.66)","v":86.46},0.12547710616065597,1,1,0.82509542123213109,0.62288950276243094,2.1551071878940733,"4 months mat leave @ 66% since 2016 + pat leave increased to 10 days in 2018 @66%. Leave network say pat is unpaid. Employment Equity regulations provide for equal pay acc DecentWork","Mat leave 17.32 weeks , pat leave 4 days @ 100% : https://wageindicator.org/documents/decentworkcheck/africa/south-africa-english; http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/South_Africa_2017_Final.pdf;  Non-Discrimination: The Employment Equity Act (http://www.labour.gov.za/DOL/legislation/acts/basic-guides/basic-guide-to-unfair-discrimination). +https://mywage.co.za/main/decent-work/fair-treatment"]
["South Sudan","Yes","Yes",2,{"$f":"90+7","v":97},0.14077352877149699,0.33999999999999997,1,0.69615470575429939,0.68346961325966848,7.0617906683480461E-2,"90 days @ 100% up from 56. 7 days pat up frm 0. No parental leave. Source DecentWork","https://wageindicator.org/documents/decentworkcheck/africa/south-sudan-english.pdf;https://mdm.wageindicator.org/chart/maternity/728"]
["Spain","Yes","Yes",2,168,0.24381394673826284,1,1,0.84876278934765248,0.83867403314917122,1.1601513240857504,"Paid maternity leave = 16 weeks @ 100% +8 weeks paternity leave @ 100% =140 days in total.  Unpaid parental. ","Equal pay: from Oxfam Spain: \"http://www.juntadeandalucia.es/empleo/anexos/estatico/1_571_0.pdf , (the English translation of the Spanish Workers Statute - WHOSE MISSION IS TO REGULATE LABOUR RELATIONS, THOSE THAT ARISE BETWEEN THE EMPLOYER AND THE EMPLOYEE BASED ON A WORK CONTRACT) YOU CAN READ THE FOLLOWING IN ARTICLE 28: Equality of Compensation between Sexes. The employer is obliged to pay the same compensation for the rendering of services of equal value, directly or indirectly, whatever the nature thereof, whether involving salary or non-salary items, without any discrimination by reason of sex in any of the elements or conditions thereof\"CRI2016a nd 2017 Oxfam Spain: anti-disc: Law 3/2007, of 22 March, for the effective equality of women and men;    2017 https://wageindicator.org/documents/decentworkcheck/europe/spain-english page 15: \"With effect from 01 January 2017, the paternity leave is now four consecutive weeks\"; 2018: 16 weeks for mat leave and 5 weeks pat leave so 147 days. (Oxfam Intermom)"]
["Sri Lanka","Yes","Yes",2,{"$f":"84*0.86","v":72.239999999999995},0.10483999709745301,0.66999999999999993,1,0.75496799941949067,0.75395580110497229,0.10592686002522068,"No pat or par leave. 84 days mat leave @86%. Maternity Leave under the Shop and Office Employees Act is fully paid leave but not representative of whole female workforce so using Maternity Benefits Ordinance @ 86%","https://wageindicator.org/documents/decentworkcheck/asia/srilanka-english"]
["St. Kitts and Nevis","Yes","No",1,{"$f":"91*0.65","v":59.15},8.5842827080763379E-2,null,null,0.21716856541615268,0.21633977900552487,0.11475409836065574,"13 weeks mat leave @ 65%; equal pay bill passed in 2012 ","Mat leave: https://www.socialsecurity.kn/benefits/maternity-benefit/; Equal Pay - see p13  http://www.caribank.org/uploads/2014/12/CGA-St-Kitts-Nevis_Vol-II_JULY2014_FINAL.pdf + http://www.sknlist.com/cuopm/20120512.html"]
["St. Lucia","Yes","Yes",2,{"$f":"90*0.65","v":58.5},8.4899499310645096E-2,{"$f":"VLOOKUP($A152,L_Source_Laws,2,FALSE)","v":0.66999999999999993},{"$f":"VLOOKUP($A152,L_Source_Laws,3,FALSE)","v":0},0.55097989986212892,0.55016022099447515,2.1147540983606556,"3 months paid mat leave @ 65% . No pat or par leave ","Equal pay & anti-disc: http://blue.lim.ilo.org/cariblex/stl_act2.shtml#Equal_remuneration_; Mat leave http://stlucianic.org/benefits/short-term/maternity-benefit/"]
["St. Vincent and the Grenadines","Yes","Yes",2,{"$f":"91*0.65","v":59.15},8.5842827080763379E-2,1,0,0.61716856541615273,0.61633977900552483,0.11475409836065574,"13 weeks mat leave @65%. No pat or par leave ","Mat leave: http://nissvg.org/maternity-benefit/; equal pay & anti disc: http://blue.lim.ilo.org/cariblex/stv_act4.shtml#Payment_of_equal_pay_for_equal_work."]
["Sudan","No","No",0,"56",8.1271315579420952E-2,0.66999999999999993,0,0.15025426311588416,0.14946961325966851,7.0617906683480461E-2,"8 weeks mat leave @ 100%. No pat or par leave . No legislation on equal pay and anti disc","Mat leave: http://www.ilo.org/dyn/natlex/docs/WEBTEXT/49122/65103/E97SDN01.htm"]
["Suriname","No","No",0,0,0,1,0,0.2,0.2,0,"no mat, pat or par leave not equal pay or anti disc legislation ","https://statisticalfuture.org/4-countries-do-not-require-paid-parental-leave-suriname-lesotho-papua-new-guinea-and-the-united-states/"]
["Sweden","Yes","Yes",2,{"$f":"2*(195*0.776) +(45*0.17)+ (10*0.776)","v":318.04999999999995},0.46157753428633624,1,1,0.89231550685726724,0.88792541436464101,2.6179066834804541," 10 days paternal leave @77.6%; mat leve absorbed by  parental: 480 days per family= 240 days per parent: 195 days @ 77.6% and 45 days @ SEK180 a day= 17% of average wage (1046 a day/31400 a month in 2014). Average wage from ILO DB. 2014 only available.\n\n\n","Mat, pat and par leave + equal pay and anti disc: https://wageindicator.org/documents/decentworkcheck/europe/sweden-english & https://sweden.se/quick-facts/parental-leave/. More info - Equal Remuneration: The 1980 Act on Equality between Men and Women/Equal Opportunities Act, as amended since (www.eurofound.europa.eu/observatories/eurwork/comparative-information/gender-pay-equity-in-europe) +latest source dated Oct 2017 https://wageindicator.org/documents/decentworkcheck/europe/sweden-english"]
["Switzerland","Yes","Yes",2,{"$f":"98*0.8","v":78.400000000000006},0.11377984181118933,1,1,0.82275596836223774,0.821657458563536,2.1235813366960907,"14 weeks mat leave at 80%, no pat or parental leave","mat leave: https://www.ch.ch/en/maternity-leave/;  https://www.ch.ch/en/paternity-leave/ Equal pay & anti-disc: http://www.ebrd.com/downloads/research/sustain/4durrer.pdf"]
["Syrian Arab Republic","No","Yes",1,"120",0.17415281909875918,0.66999999999999993,1,0.56883056381975172,0.56714917127071818,0.15132408575031525,"120 days mat leave @ 100%. No pat or par leave. ","mat leave: art 121 of Labor Law & Art 2 of Labor code anti disc; equal pay art 119:  http://www.parliament.am/library/ashxatanqayinorensgreqer/siria.pdf; "]
["Taiwan, China","Yes","Yes",2,{"$f":"56+5","v":61},8.852768304186924E-2,null,null,0.41770553660837384,0.41685082872928181,2.3064312736443884,"8 weeks mat leave & 5 days pat leave @ 100%; unaid  parental leave","Paid Mat+ PatPay & anti-disc :  https://uk.practicallaw.thomsonreuters.com/9-633-4823?transitionType=Default&contextData=(sc.Default)&firstPage=true&bhcp=1; Equal pay:   Act of Gender Equality in Employment in 2002 http://law.moj.gov.tw/Eng/LawClass/LawAll.aspx?PCode=N0030014"]
["Tajikistan","Yes","Yes",2,{"$f":"140+ (365/12*3)","v":231.25},0.33560699513823383,{"$f":"VLOOKUP($A160,L_Source_Laws,2,FALSE)","v":0.66999999999999993},{"$f":"VLOOKUP($A160,L_Source_Laws,3,FALSE)","v":0},0.60112139902764672,0.59788121546961326,2.4073139974779321,"140 days for mat leave @ 100% and parental/child care leave until the child is 1.5 yo but 3 months paid @ 100% ","Anti-disc:  Labor Code  http://www.ilo.org/dyn/natlex/docs/WEBTEXT/48035/65091/E97TJK01.htm; Paid Maternity / parental http://www.ilo.org/wcmsp5/groups/public/---europe/---ro-geneva/---sro-moscow/documents/publication/wcms_312658.pdf ;  equal pay: http://www.ilo.org/wcmsp5/groups/public/---europe/---ro-geneva/---sro-moscow/documents/publication/wcms_312658.pdf. "]
["Tanzania","Yes","Yes",2,{"$f":"84+3","v":87},0.12626079384660041,1,1,0.82525215876932001,0.82403314917127068,2.1097099621689788,"12 weeks mat leave + 3 days pat leave both @ 100%. No par leave ","https://wageindicator.org/documents/decentworkcheck/africa/tanzania-english.pdf; https://mdm.wageindicator.org/chart/maternity/834"]
["Thailand","Yes","Yes",2,90,0.13061461432406937,0.66999999999999993,1,0.76012292286481387,0.75886187845303865,0.11349306431273644,"90 mat leave but only 45 paid @ 100%.  Pat leave only for gov sector so not included; no par leave. \"http://www.state.gov/j/drl/rls/hrrpt/humanrightsreport/index.htm?year=2016&dlid=265376; ","Mat leave:section 41; equal pay: section 53 of Labour Protection Act  http://www.labour.go.th/en/attachments/article/18/Labour_Protection_Act_BE2541.pdf. Anti disc : labour Protection Act Section 15 https://www.labour.go.th/en/attachments/article/18/Labour_Protection_Act_BE2541.pdf + https://prachatai.com/english/node/4876 + State Dept section 7d for equal pay as well ; Full pay info: https://www.angloinfo.com/how-to/thailand/healthcare/pregnancy-birth/maternity-leave; "]
["Timor-Leste","Yes","Yes",2,{"$f":"84+5","v":89},0.12916334083157971,1,1,{"$f":"(D163+F163+G163+H163)/5","v":0.82583266816631595},0.82458563535911611,1.1122320302648172,"12 weeks mat leave, 5 days pat leave both @ 100%","Mat & pat leave Art 59 + Equal pay/anti disc Chapter 2 Art 6: http://www.ilo.org/dyn/natlex/natlex4.detail?p_lang=en&p_isn=72879&p_classification=01.02"]
["Togo","Yes","Yes",2,{"$f":"98+2","v":100},0.14512734924896598,1,1,0.8290254698497932,0.82762430939226517,1.1261034047919294,"14 weeks mat leave @ 100%; 2 days pat. No par leave","Dated July 2017 https://wageindicator.org/documents/decentworkcheck/africa/togo-english; https://mdm.wageindicator.org/chart/maternity/768"]
["Tonga","No","No",0,0,0,1,0,0.2,0.2,0,"no mat, pat or par leave not equal pay or anti disc legislation ; https://www.jica.go.jp/english/our_work/thematic_issues/gender/background/pdf/e10ton.pdf"]
["Trinidad and Tobago","No","Yes",1,{"$f":"20+ (98*0.66)","v":84.68},0.1228938393440244,1,0,0.42457876786880488,0.42339226519337014,1.1235813366960907,"14 weeks mat leave. 98 days @ same rate as the lump sum= 66% of average wage  + lump sum \n3750/5622 (average wage) = 0.66 months. 0.66/12*365= 20 days . No pat or par leave. No info on equal pay ","Mat leave: http://www.nibtt.net/Contribution_Rates/Benefit_rates_Sick_and_mat_sep2016.html http://www.ttparliament.org/publications.php?mid=36&id=mr764E46; Non disc http://rgd.legalaffairs.gov.tt/laws2/alphabetical_list/lawspdfs/22.03.pdf"]
["Tunisia","Yes","Yes",2,{"$f":"(30*0.667) + 1","v":21.01},3.0491256077207755E-2,1,1,0.80609825121544154,0.80580386740331489,3.9092055485498108E-2,"1 day pat leave at 100%; 30 days mat leave @ 66.7%. No parental leave "," https://wageindicator.org/documents/decentworkcheck/africa/tunisia-english"]
["Turkey","Yes","Yes",2,{"$f":"(112*0.66) + (5*1)","v":78.92},0.11453450402728395,1,1,0.82290690080545681,0.82180110497237568,1.1412358133669609,"112 days mat leave @ 66%; 5 days pat leave @ 100%. No parental","https://wageindicator.org/documents/decentworkcheck/europe/turkey-english; https://mdm.wageindicator.org/chart/maternity/792"]
["Uganda","Yes","Yes",2,{"$f":"60+4","v":64},9.2881503519338229E-2,0.66999999999999993,1,0.75257630070386772,0.55167955801104962,1.1109709962168979,"Mat leave 60 days,  pat leave 4 days, both @ 100%.  Oxfam Ug indicated in 2018 that no equal pay act. But africapay.org/uganda/labour-laws/fair-treatment says constitution and employment Act 2006 guarantee equal pay for equal value. Decent Wok Check Uganda report says the same","https://wageindicator.org/documents/decentworkcheck/africa/uganda-english.pdf; https://www.jubileeinsurance.com/ug/images/pdf/regulations/employment_act_2006.pdf; Non disc: http://www.parliament.go.ug/images/stories/constitution/Constitution_of_Uganda_1995.pdf; https://www.jubileeinsurance.com/ug/images/pdf/regulations/employment_act_2006.pdf"]
["Ukraine","Yes","Yes",2,{"$f":"(126*1) + (4.66/12*365)","v":267.74166666666667},0.38856638366833568,0.66999999999999993,1,0.811713276733667,0.83568968692449341,1.1588902900378311,"No pat leave. Mat leave 18 weeks/126 days@ 100%. Par leave: One-off payment: 41,280 UAH- Average monthly salary UAH 8865 (ILOSTAT 2018) : 41280/8865= 4.66 so 4.66/12*365=242","https://wageindicator.org/documents/decentworkcheck/russia/ukraine-english;https://mdm.wageindicator.org/chart/maternity/804"]
["United Arab Emirates","Yes","No",1,{"$f":"45+5","v":50},7.2563674624482988E-2,0.66999999999999993,1,0.54851273492489661,0.54643093922651931,5.6746532156368219E-2,"Mat leave=45 days @ 100%. 2019 law introduced 5 days pat. No parental","https://wageindicator.org/documents/decentworkcheck/gulf-middle-east/unitedarabemirates-english"]
["United Kingdom","Yes","Yes",2,{"$f":"(42*0.9) + (231*0.26) + (14*0.26)","v":101.50000000000001},0.14730425948770048,1,1,0.82946085189754015,0.82939226519337017,2.3619167717528375,"Paid mat leave = 6 weeks @90% of previous wage and 33 weeks@26% of average wage. Pat = 2 weeks @26% of average wage. Unpaid parental leave ; equal pay https://www.equalityhumanrights.com/en/advice-and-guidance/equal-pay-equal-work-matter-law; anti disc https://www.legislation.gov.uk/ukpga/1975/65","Paid Maternity + Paternity Pay: https://www.gov.uk/employers-maternity-pay-leave/entitlement + https://www.gov.uk/employers-paternity-pay-leave. "]
["United States","Yes","Yes",2,0,0,1,1,0.8,0.8,2,"only unpaid leave available ","Equal Remuneration: The Equal Pay Act of 1963 ( https://www.eeoc.gov/laws/statutes/epa.cfm ) +https://wageindicator.org/documents/decentworkcheck/northamerica/usa-english.pdf"]
["Uruguay","No","Yes",1,{"$f":" (98*1) + (10*1)+(126*1)","v":234},0.33959799724258039,0.66999999999999993,1,0.60191959944851603,0.5638342541436463,1.1324085750315258,"No equal pay  legislation . 14 weeks mat leave + 10 days pat both @ 100%. 6 mths parentalx1 - postnatal 8 weeks@100%. Leavenetwork previously misclassified this","Mat & pat leave: http://www.leavenetwork.org/fileadmin/Leavenetwork/Country_notes/2017/Uruguay_2017_FINAL.pdf; Anti-disc: Law 16045 see p 6 http://www.un.org/womenwatch/daw/Review/responses/URUGUAY-English.pdf (Ref Law 16045)"]
["Uzbekistan","No","Yes",1,{"$f":"(126*1)+ (149775/1000346*0.2*654 )","v":145.58379400727347},0.21128190117883097,0.66999999999999993,1,0.57625638023576609,0.37421651768156722,0.15889029003783103,"No equal pay legislation, but WBL says now non-discrim legislation. Mat leave 126 days @ 100%; Mothers caring for children younger than age 2 may receive monthly paid leave equal to 20 % of the national MW: 780 days @ 20% minus 126 mat leave =654. MW (CRI update) = 149,775 so 20% of this is 29,955.1,000,346 soums( average monthly wage 2017)","Mat leave: http://www.ilo.org/dyn/travail/travmain.sectionReport1?p_lang=en&p_structure=3&p_year=2011&p_start=1&p_increment=10&p_sc_id=2000&p_countries=UZ&p_print=Y"]
["Vanuatu","Yes","Yes",2,{"$f":"84*0.66","v":55.440000000000005},8.0458602423626749E-2,0.66999999999999993,0,0.55009172048472532,0.54931491712707181,0.10592686002522068,"12 weeks mat leave @ 66% . No pat or par leave","Mat  leave: http://www.vcci.com.vu/wp-content/uploads/2014/02/5.4-maternity-leave-factsheet.pdf; Anti disc & equal pay: http://ilo.org/dyn/natlex/natlex4.detail?p_lang=en&p_isn=69554&p_count=96243"]
["Venezuela, RB","No","Yes",1,{"$f":"(182*0.66)+ (14*1)","v":134.12},0.19464480081271318,0.66999999999999993,1,0.57292896016254269,0.5710497237569061,1.2471626733921817,"26 weeks mat leave @ 66.66%, 2 weeks pat leave @ 100%. No par leave. No equal pay info","Mat & pat leave, anti-disc: https://content.next.westlaw.com/Document/I2ef128ef1ed511e38578f7ccc38dcbee/View/FullText.html?contextData=(sc.Default)&transitionType=Default&firstPage=true&bhcp=1"]
["Vietnam","Yes","Yes",2,{"$f":"5+(365/2)","v":187.5},0.27211377984181123,0.66999999999999993,1,0.7884227559683622,0.78579558011049722,2.2269861286254731,"Pat leave: From 1 January 2016, male workers participating in social insurance are entitled to take paternity leave on the birth of a child: 05 working days for normal delivery; Mat leave: 6 months . No parental leave. Labor Code: Equal pay: Art 90-3 & 154  ; Non disc: Art 8 http://www.ilo.org/dyn/natlex/natlex4.detail?p_lang=en&p_isn=91650; ","https://wageindicator.org/documents/decentworkcheck/asia/vietnam-english"]
["Yemen, Rep.","Yes","Yes",2,"70",0.10158914447427618,0.33999999999999997,0,0.4883178288948552,0.48733701657458556,8.8272383354350573E-2," no pat or par leave. Mat leave 70 days @ 100% ","https://wageindicator.org/documents/decentworkcheck/gulf-middle-east/yemen-english; https://mdm.wageindicator.org/chart/maternity/887"]
["Zambia","Yes","Yes",2,{"$f":"5+98","v":103},0.14948116972643496,0.66999999999999993,1,0.76389623394528694,0.75720441988950271,0.10592686002522068," no  par leave. 2019 act introduced paid pat leave 5 days and extended mat leave from 12 to 14 weeks @ 100% ","https://wageindicator.org/documents/decentworkcheck/africa/zambia-english.pdf; https://mdm.wageindicator.org/chart/maternity/894 + http://www.parliament.gov.zm/sites/default/files/documents/acts/Employment%20Act.pdf"]
["Zimbabwe","Yes","Yes",2,"98",0.14222480226398665,0.66999999999999993,1,0.7624449604527973,0.7610718232044198,2.1235813366960907," no pat or par leave. Mat leave @ 100%","https://wageindicator.org/documents/decentworkcheck/africa/zimbabwe-english.pdf; https://mdm.wageindicator.org/chart/maternity/716"]
[]
[]
[null,null,null,"MAX",{"$f":"MAX(E3:E181)","v":689.05},null,null,null,{"$f":"MAX(I3:I181)","v":0.96979899862129026}]
[null,null,null,"MIN",{"$f":"MIN(E3:E181)","v":0},null,null,null,{"$f":"MIN(I3:I181)","v":0.14619069733691312}]
[]
[null,null,null,"ave",{"$f":"AVERAGE(E3:E181)","v":155.86487495849238}]

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["INDICATOR L1C: Fair minimum wages (national currency)"]
["Country","Gross MW (LCU)/\nmonthly 2019","Youth Minimum Wage Discount Calculations","GDP Year ","Per Capita GDP\nSource: IMF WEO October 2019","L1C\nMin Wage as a % monthly GDP per capita","Source for MW rates","When was the MW rate last updated?","Who applies to","Notes and clarifications\n\nOverall note on country coverage: this already has a few which arent in CRI. Eurostat is also tracking min Ws for North Macedonia and Montenegro, WB for Bosnia and Republika Srbska, and ILO for Kuwait, Qatar, Saudi Arabia and UAE. "]
["Afghanistan",5500,null,2019,{"$f":"VLOOKUP(A3,T_Source_IMFWEOPCGDP,10,FALSE)","v":41152.368999999999},{"$f":"B3/(E3/12)","v":1.6037958835371058},"US Gov Human rights report 2018",2014,"Private sector ","The minimum wage for permanent government workers was 6,500 Afghanis ($90) past updated 2018 There was no minimum wage for permanent workers in the private sector; but the minimum wage for workers in the nonpermanent private sector was 5,500 Afghanis ($76) per month, last updated 2014. Used the 5,500 figure. https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/afghanistan/ Section 7E"]
["Albania",26000,null,2019,594268.49399999995,{"$f":"B4/(E4/12)","v":0.52501521307303234},"Minimumwage.org",2019,"Private sector ","24,000 Albanian lekë per month, nationally, for private sector, from May 2017\n26,000 Albanian lekë per month, nationally, for private sector, from January 2019 \nhttps://wageindicator.org/salary/minimum-wage/albania"]
["Algeria",18000,null,2019,471017.86099999998,0.45858133604831602,"US Gov Human rights report 2018\nMinimumwage.org",2012,"All","A tripartite social pact among business, government, and the official union established the national minimum wage of DZD 18,000 ($153) per month. Not increased since 2012\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/algeria/\nhttps://www.minimum-wage.org/international/algeria\nhttps://algeriepart.com/2018/11/27/pour-vivre-dignement-en-algerie-il-faut-un-salaire-dau-moins-76-mille-da/"]
["Angola",21454,null,2019,1044696.4840000001,0.24643329803721248,"Minimumwage.org",2019,"Agriculture","Different salary for agriculture; transport & services; extractive industry and trade. Picked agriculture as lowest\nPres Decree in June 2017 set this at 16503.30; Decreee in Jan 2019 set at 21454\nhttp://www.wageindicator.org/main/salary/minimum-wage/angola\n"]
["Antigua and Barbuda",1421,null,2019,48894.557000000001,0.34875047543635584,"US Gov Human rights report 2018",2014,"All","Hourly wage = 8.20 XCD . Average work week is 40 hours. X 40 x 52 % 12    . Not changed since 2014\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/antigua-and-barbuda/\nhttps://www.minimum-wage.org/international/antigua-and-barbuda"]
["Argentina",13244,null,2019,479511.04499999998,0.331437621004121,"WageIndicator.org",2019,"Lowest paid sector - domestic workers","Average of minimum wages announced during the year  from January 1, to December 31, 2018. 1.1-30.6=$9.500;1.7=31.8=10,000; 1.9-30.11=10,700; 1-31.12=11,300\nFor 2019, 1.1-28.2=11,300; 1.3-31.5=11,900; 1.6-30.9=12,500; 1.10-31.12=16,875\nhttp://www.wageindicator.org/main/salary/minimum-wage/argentina"]
["Armenia",55000,null,2019,2202900.0389999999,0.29960506074510995,"Armenia press and legal reports","Will be 2020","All","The monthly minimum wage from July 2015 to December 2019 was 55,000 drams. It will be raised to 68,000 drams with effect from 1 January 2020 \nhttps://news.am/eng/news/545187.html\nhttps://jam-news.net/minimum-wage-in-armenia-to-be-raised-by-almost-25/"]
["Australia",3163.333333333333,null,2019,77567.839999999997,0.4893780721494887,"WageIndicator.org",2019,"Private sector ","Minimum wage based on 38 hour week. From 1 July 2017 weekly min W was 694.9.  From 1 July 2018 was 719.2; From 1 July 2019  has been 740.8 per week; Use this averaged for half year each and then x 52/12\nhttp://www.wageindicator.org/main/salary/minimum-wage/australia"]
["Austria",{"$f":"1090/12*14","v":1271.6666666666665},{"$f":"L_Source_YouthMinWage!D10","v":1483.19279819955},2019,44540.326999999997,0.34261086587891459,"Eurofound",2019,"All","Social partners agreement in late 2018 that Euro 1500 a month wll be implemented by end of 2020 as sectors update collective bargaining agreements. Already applies to most workers by mid-2019 but not all, so need to track lowest sector rates till end of 2020. EU minimum wages report suggests lowest agreement for 2019 is for despatch and postroom workers at 1090.  \nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf  page 11\nNOTE ALL AUSTRIAN WAGES ARE PAID 14 MONTHS (2 MONTHS EXTRA HOLIDAY PAY AND BONUS). Therefore calculation is 1090/12*14\n"]
["Azerbaijan",{"$f":"((130*8)+(250*4))/12","v":170},null,2019,7971.9430000000002,0.2558974643948157,"WageIndicator.org",2019,"All","Min w was 105 for 2017, 130 from Jan 2018 to 31 Aug 2018, and 250 from 1 Sept 2018. http://www.wageindicator.org/main/salary/minimum-wage/azerbaijan http://www.state.gov/j/drl/rls/hrrpt/humanrightsreport/index.htm?year=2017&dlid=277141"]
["Bahamas, The",{"$f":"210*52/12","v":910},null,2019,33261.315000000002,0.32830932872016633,"http://laws.bahamas.gov.bs/cms/images/LEGISLATION/SUBORDINATE/2015/2015-0059/MinimumWagesIncreaseinMinimumWagesOrder2015_1.pdf",2015,"All","Minimum wage raised to $42 per day or 210 a week in 2015 - 210*52/12=monthly\nUnions pushing for rise to 250 or 300 a week in August 2019 \nhttp://www.tribune242.com/news/2019/aug/19/minimum-wage-not-agenda-it-now/ "]
["Bahrain",0,null,2019,9502.7039999999997,0,"US Gov Human rights report 2018",2016,"Public sector","The minimum  wage  of  BHD  300  ($795) applies only to public sector workers who are citizens. Government issued \"guidelines \" advising public and private sectors to  pay foreign workers at least BHD 150 ($398) a month. There is no guideline for minimum pay levels for Citizens who work in the private sector.\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/bahrain/\nhttps://www.arabianbusiness.com/no-minimum-wage-plan-for-domestic-workers-says-bahrain-639687.html"]
["Bangladesh",1500,null,2019,164762.89000000001,0.10924790163610262,"WageIndicator.org",2013,"All sectors not covered by industry specific set wages ","https://wageindicator.org/main/salary/minimum-wage/bangladesh; \nThe National Minimum Wage Board established minimum monthly wages for most sectors on a sector-by-sector basis, and 500 taka per month for all economic sectors not covered by industry-specific wages "]
["Barbados",1083,null,2019,36138.769,0.3596137986880516,"WageIndicator.org",2012,"\"Shop assistants\" and domestic workers\" wage is recommended minimum for all sectors","A \"shop assistants and domestic workers\" min wage of BD 6.25 per hour is recommended for all sectors as the statutory minimum wage. In Feb 2017 Barbados introduced a  Minimum Wage Act. Government intending an increase early 2020.\nhttps://www.minimum-wage.org/international/barbados\n http://www.barbadosemployers.com/News/Minimum-Wage-Act.aspx"]
["Belarus",330,null,2019,13850.571,0.28590879033073802,"Trading Economics and media",2019,"National ","Currency revalued in 2016 https://www.xe.com/currency/byr-belarusian-ruble. Minimum wage increased from BYR 265 to 305 to 330 between 2017 and 2019\nhttps://tradingeconomics.com/belarus/minimum-wages confirmed by https://www.forum-expat-management.com/users/10520-fragomen/posts/29491-belarus-minimum-wage-and-salary-for-highly-qualified-staff-increased and https://www.tvr.by/eng/news/obshchestvo/s_pervogo_yanvarya_v_belarusi_povyshaetsya_minimalnaya_zarabotnaya_plata/"]
["Belgium",1594,{"$f":"L_Source_YouthMinWage!D17","v":1593.0712792720549},2019,40224.516000000003,{"$f":"C18/(E18/12)","v":0.4752538315505066},"WageIndicator.org",2018,"21 years or over","Over 21 wage rose to 1562.59 on 1 July 2017, to 1593.81 on 1 Sept 2018 to 31 August 2019. Appears to have been extended to end-Dec 2019 as no recent new announcement. https://wageindicator.org/salary/minimum-wage/belgium/.  \nBELGIUM HAS LOWER RATES FOR 18 TO 20 YEAR OLD WORKERS. No current increase announced for 2020."]
["Belize",{"$f":"3.3*45*52/12","v":643.5},null,2019,9850.3610000000008,0.7839306600032222,"US Gov Human rights report 2018",2012,"Manual workers","MW is BZ$3.30 per hour. Av working week is 45 hours.,  x45 x52/12; http://www.state.gov/j/drl/rls/hrrpt/humanrightsreport/index.htm?year=2016&dlid=265564 ; http://amandala.com.bz/news/cordel-hyde-minimum-wage-living-wage/"]
["Benin",40000,null,2019,710594.353,0.67549087320146484,"US Gov Human rights report 2018 and wageindicator.org",2014,"All formal sector ","In April 2014 the government increased the Guaranteed Minimum Wage (SMIG) to 40,000 CFA francs per month. This was due to end in 2017 but has not been increased since http://www.state.gov/j/drl/rls/hrrpt/humanrightsreport/index.htm?year=2016&dlid=265224"]
["Bhutan",{"$f":"215*6*52/12","v":5590},null,2019,232269.1,0.28880294451565014,"Ministry of Labour ",2015,"Unskilled","We recommend using the lowest value :unskilled labour @ 215 per day. Based on an 8 hour day and a  6 day week. http://www.molhr.gov.bt/molhr/wp-content/uploads/2017/12/Revised-National-Work-Force-Wage-Rate-2015.pdf +  http://www.bhutannewsnetwork.com/2016/03/minimum-wage-rate-increased/ \nAs of mid-2019 government was aiming to increase rate to 450"]
["Bolivia",2101.3000000000002,null,2019,25182.776999999998,1.0013033908055495,"Wageindicator.org",2017,"All","MW was 2,000 from May 2017 to April 2018, 2060 from May 2018 to April 2019, and 2122 from May 2019 to April 2020\nhttps://wageindicator.org/salary/minimum-wage/bolivia"]
["Botswana",850,null,2019,84180.989000000001,0.12116750018225611,"Wageindicator.org",2019,"Agriculture","From 1 July 2019 the minimum wage for domestic and agricultural workers is 1000 per month\nFrom 1  November 2017 the minimum wage for domestic workers was 3.21 per hour and 700 for agric workers\n1.6.2016 10 31.10.2017 dom 3.03 per hour and agric 620.00 per month.\nhttps://wageindicator.org/salary/minimum-wage/botswana and https://wageindicator.org/salary/minimum-wage/minimum-wages-news/botswana-minimum-wage-july-2019\n"]
["Brazil",998,null,2019,34277.642,0.34938225914139603,"Wageindicator.org",2019,"National","Increased to 954 in January 2018 and to 998 in January 2019\nhttps://wageindicator.org/main/salary/minimum-wage/brazil"]
["Bulgaria",560,null,2019,16575.901000000002,0.40540782669973713,"WageIndicator.org + Eurofound",2019,"National ","Increased to 510 for 2018 and 560 for 2019. https://wageindicator.org/salary/minimum-wage/bulgaria + https://www.eurofound.europa.eu/publications/article/2019/minimum-wages-in-2019-first-findings"]
["Burkina Faso",34662,null,2019,417387.05300000001,0.99654265030592593,"WageIndicator.org",2012,"All","2012 decree: 34662.  https://wageindicator.org/salary/minimum-wage/burkina-faso"]
["Burundi",2275,null,2019,586083.68599999999,4.6580378625314611E-2,"WageIndicator.org",1998,"Rural areas - all","The SMIG is determined by a Ministerial Order n. 650/11/88, from 30 April 1988. in rural areas the MW per day was 105 (in capital 160). This has not been updated since 1998 - making it close to nothing. Figure of 105 for daily rate used *5*52/12  . US State Dept report refers to \"informally applied min W rates of 2000 BF a day but this is not the same as a nationally legislated wage"]
["Cabo Verde",13000,null,2019,351671.223,0.44359614832630195,"US Gov Human rights report 2018 + press + wageindicator.org",2018,"All","From 1 May 2018 increased from 11000 to 13000 https://observador.pt/2018/01/05/cabo-verde-aprova-aumento-do-salario-minimo-para-1178-euros/  Government has promised to increase min wage to 15000 before next elections in 2021\nhttps://wageindicator.org/salary/minimum-wage/cabo-verde\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/cabo-verde/\n"]
["Cambodia",0,null,2019,6571998.3830000004,0,"US Gov Human rights report 2018","NO MW","NO MINIMUM WAGE"," The law gives the MOLVT authority to establish a minimum wage based on recommendations from the Labor Advisory Committee, a tripartite group composed of representatives from the government, unions, and employer organizations. This has so far established a minimum wage only for garment workers (who are only a small proportion of the labour force). This has risen to 680,000 in 2018 and 730,002 in 2019. But we do not count it as it is not a national minimum wage. In June 2019 Government passed a law extending minimum wage procedures to the whole economy so this should change as of 2020. CHECK THAT LAW NOT APPLYING IMMEDIATELY TO OTHER SECTORS ?  OR THAT 2020 MIN W IS NOT STILL ONLY GARMENTS ? 2020 MIN W WILL BE US$190\nhttp://www.wageindicator.org/main/salary/minimum-wage/cambodia-1\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/cambodia/"]
["Cameroon",36270,null,2019,884626.55599999998,0.49200422149660183,"US Gov Human rights report 2018",2014,"All","The minimum wage in all sectors was last raised in 2014, to CFA francs 36,270 ($63) per month, up from CFA francs 28,246 ($49).\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/cameroon/  \n"]
["Canada",{"$f":" 11.255*40*52/12","v":1950.8666666666668},null,2019,61341.254000000001,0.38164201859975022,"US Gov Human rights report 2016",2019,"All regionally set"," The minimum wage in Canada is set by each province and territory. The lowest is in Saskatchewan. From 1.10.2018 to 30.9.2019 this is 11.06 per hour. Work hours limits are generally 40 hours per week. \nhttps://wageindicator.org/salary/minimum-wage/canada"]
["Central African Republic",{"$f":"(80*8*5)*52/12","v":13866.666666666666},null,2019,261656.90599999999,0.63594728892804375,"CAR Govt communication",2011,"Agric workers","From Gervais Dougnoupou's contact Jule Kiko Gueza:\"Le salaire minimum dans le secteur public est 35000FCFA; dans le secteur privé est de 18850FCFA;  dans le secteur du commerce, industrie et Eaux Forêt est de 26000FCFA; dans le secteur agricole est de 800F/H en raison de 8H par jour.\" After multiple further clarifications this turned out to be a type. Agric min W is 80 per hour per 8 hour day. Max working week is 40 hours. So =80*8*5 days*52/12"]
["Chad",{"$f":"302.8*8*5*52/12","v":52485.333333333336},null,2019,503025.26899999997,1.2520722890364382,"votresalaire.org",2011,"Agriculture","The public sector minimum wage was 60,000 CFA francs ($104) a month. But agric lower at 302.80 par heure = 302.8*8*5*52/12\nhttps://votresalaire.org/tchad/salaire/salaire-minimum"]
["Chile",298833,null,2019,10472848.643999999,0.34240884423116846,"WageIndicator.org",2019,"Over 18 under 65","The national minimum wage was increased from 264,000 to 270,000 pesos a month in July 2017, to 276,000 from 1.1.2018 to 30.8.2018, to 288,000 from 1.9.2018 to 28.2.2019, and to 301,000 in March 2019 till Feb 2020 (HUGE FIGHT OVER 2020 MIN W BETWEEN 370 AND 550) http://www.wageindicator.org/main/salary/minimum-wage/chile.  LOWER RATE FOR UNDER 18s AND OVER 65s"]
["China",1120,null,2019,68203.702000000005,0.19705675213934865,"China Briefing",2019,"All - regionally set","In line with other countries using lowest regional wage which is Liaoning at 1120, taking over from Guangxi which increased its lowest min W from 1000 to 1300. This compares with ILO average of 2120 . https://www.china-briefing.com/news/minimum-wages-china-2019/"]
["Colombia",925148,null,2019,20875775.363000002,0.53180185200098806,"wageindicator.org",2019,"All","Minimum wage comprises wage component + transport allowance\nhttp://www.wageindicator.org/main/salary/minimum-wage/colombia"]
["Congo, Dem. Rep.",{"$f":"7075*5*52/12","v":153291.66666666666},null,2019,844703.92799999996,2.177686096897137,"US Gov Human rights report 2018",2019,"All formal sector","The government sets regional minimum wages for all workers in private enterprise, with the highest pay scales applied to the cities of Kinshasa and Lubumbashi. The government-established minimum wage of 1,680 Congolese francs ($1.83) per day stayed the same till 2017. It was then increased to 3029 on 1 July 2017, 4378 on 1 January 2018, 5726 on 1 July 2018 and 7075 on 1 January 2019. The minimum wage for 2019 will stay at 7075 per day\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/democratic-republic-of-the-congo/"]
["Congo, Rep.",90000,null,2019,1480312.423,0.72957571876028227,"US Gov Human rights report 2018",2013,"All formal sector","The national minimum wage has been 90,000 CFA francs ($156) per month since 2015. \nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/republic-of-the-congo/\nhttps://www.cleiss.fr/docs/cotisations/congo.html"]
["Costa Rica",190377,null,2019,7181744.0029999996,0.31810156405542933,"Ministry of Labour and Social Security",2019,"Domestic workers","The wage council of the Ministry of Labour sets the minimum wage scale for the public and private sectors twice a year.  Were previously using lowest level figure of \"generic unskilled worker\" published on wageindicator.org, but then found much lower for domestic workers on http://www.mtss.go.cr/temas-laborales/salarios/lista-salarios.html (Costa Rica Ministry of Labour). Suggest using this in future. State Dept also tracks - https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/costa-rica/"]
["Cote d'Ivoire",38880,null,2019,987837.61699999997,0.47230434635290869,"Media and Ministere du Travail ",2015,"Agriculture","SMAG 36000 * 8% REVALORISATION= 38,880. http://www.commodafrica.com/17-09-2015-hausse-de-25-du-salaire-agricole-minimum-garanti-en-cote-divoire +http://koaci.com/cote-divoire-bareme-salaires-dans-prive-adopte-voici-secteurs-concernes-94893.html+  decret revalorisation http://news.abidjan.net/documents/docs/BAREME-DES-SALAIRES2015.pdf . No increase since 2015"]
["Croatia",3750,null,2019,98686.672999999995,0.45598862168552384,"Eurofound and minimumwage.org",2019,"All","Min W raised to 3438 in 2018 and 3750 in 2019.\nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf https://wageindicator.org/salary/minimum-wage/croatia"]
["Cuba",312.5,null,2019,8821.8188912500409,0.42508240604660946,"US Gov Human rights report 2015",2019,"public sector (very large in Cuba)","The monthly minimum wage was fixed at 225 CUP ($9) rose to 400 CUP in July 2019. The minimum wage covers only the government sector (which is around 80% of the labour force). IS THIS JUSTIFIABLE ? IT IS NOT SOMETHING WE DO FOR ANY OTHER COUNTRY http://www.state.gov/j/drl/rls/hrrpt/humanrightsreport/index.htm?year=2016&dlid=265578"]
["Cyprus",767,null,2019,{"$f":"VLOOKUP(A43,T_Source_IMFWEOPCGDP,10,FALSE)","v":24681.719000000001},0.37290757584591255,"WageIndicator.org",2015,"Agriculture","There are a series of sectoral minimum wages. The minimum wage for shop assistants, nurses’ assistants, clerks, hairdressers, and nursery assistants is 924 euros ($1,020) after 6 months of experience. The MW for similarly \"experienced\" agricultural workers is 767 euros without accommodation and food. We are using the agricultural wage as being the lowest wage for citizens. Wages have not been changed since 2015 but there is an active discussion over whether to bring in a national minimum wage. State Dept notes that there is an even lower wage for migrant domestic workers at 309 euros per month\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/cyprus/\nhttps://www.minimum-wage.org/international/cyprus"]
["Czech Republic",13350,null,2019,526854.74600000004,0.30406862843368976,"Ministerstvo práce a sociálních věcí",2019,"National","Minimum wages have increased dramatically in Czechia since 2017, by 21.4% \nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf"]
["Denmark",18933.5,null,2019,395745.75900000002,0.57411101656303543,"2017-2020 NATIONAL COLLECTIVE AGREEMENT for shops btw Dansk Erhverv Arbejdsgiver & HK HANDEL",2019,"Retail sector ","Info provided by LO Union ( Landsorganisationen i Danmark).This agreement has a full time monthly MW for unskilled workers (over 18 years) of 18,345 kr in 2017 for 160,33 hr, during 1.3.2017 to 28.2.2018. March 1st 2018 increased to 18666/month, and 1.3.2019 to 18987. https://www.danskerhverv.dk/siteassets/mediafolder/dokumenter/03-overenskomster/overenskomster-2017-2020/butiksoverenskomsten-2017-2020"]
["Djibouti",35000,null,2019,521826.72700000001,0.80486486848727468,"Loi No 221 portant Code du Travail",2018,"All workers","Djibouti extended the national minimum wage of 35,000 DJF ($198) per month to the private sector as weill as the public sector from January 2018 by modifying the Code de Travail. https://www.presidence.dj/texte.php?ID=221&ID2=2018-06-25&ID3=Loi&ID4=12&ID5=2018-06-28&ID6=n \nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/djibouti/"]
["Dominican Republic",8873,null,2019,438834.66600000003,0.24263352066174279,"US Gov Human rights report 2016",2019,"Agricultural workers","There are 14 different minimum wages, depending on the sector and size of enterprise. The lowest during 2015-17 was 267 pesos a day for farm workers based on a 10-hour day. This was raised to 301.71 (by 13%)  from 1 May 2017, and to 320.40 from 1 November/ On 1 May 2018 raised to 356, and to 400 from 1 July 2019. ARE 13 MONTHLY WAGE CHECKS\nhttps://mt.gob.do/images/docs/acuerdos_y_convenios/tarifayresolucion0517/resolucion.pdf"]
["Ecuador",460,null,2019,6249.3919999999998,0.88328592605488676,"Media ",2019,"All","Basic salary increased from 375 in 2017 to 386 in 2018 and 394 in 2019, but are 14 salary checks so actual amounts received averaged over the year are these amounts *14/12. Agreement reached to raise to 400 in 2020\nhttps://es.wikipedia.org/wiki/Anexo:Salario_m%C3%ADnimo_en_Ecuador"]
["Egypt, Arab Rep.",0,null,2019,53667.853000000003,0,"US Gov Human rights report 2018",2019,"Public sector only SO NOT COUNTED","Only covers government employees and public sector workers. The 'public sector' includes workers in the country's public sector cotton spinning/weaving industry.  According to labor rights organizations, the government implemented the minimum wage for public sector workers but applied it only to direct government employees. AS DOES NOT APPLY TO PRIVATE SECTOR WHICH IS 25% OF FORMAL LABOUR FORCE, NOT COUNTED . RAISED FROM 1200 TO 2000 IN APR 2019. GOVERNMENT HAS ANNOUNCED INTENTION TO EXTEND TO PRIVATE SECTOR IN 2020 BUT HAS BEEN DELAYED BY CORONAVIRUS.  https://www.state.gov/reports/2019-country-reports-on-human-rights-practices/egypt/\nhttps://wageindicator.org/salary/minimum-wage/egypt"]
["El Salvador",202.88,null,2019,4008.0239999999999,0.60742151244603326,"WageIndicator.org",2017,"Agricultural","There is no single national minimum wage, but that is different depending on the sector of the economy. The base salary is lower in the agriculture sector, while the highest is in the trade and services sector. Significant increase in and standardisation of agri rate from 1 January2017, from 124.2 to 202.8 a month, Further increase being discussed for 2020. https://www.wageindicator.org/main/salary/minimum-wage/elsalvador"]
["Estonia",540,null,2019,20945.501,0.30937431384429526,"EUROSTAT and Eurofound",2019,"National ","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en; S55\nhttp://www.wageindicator.org/main/salary/minimum-wage/estonia;"]
["Eswatini",842.77,null,2019,59604.769,0.16967165831982337,"US Gov Human rights report 2016",2016,"Domestic worker","The Ministry of Labor and Social Security sets wage scales for each industry, and these cover virtually the entire workforce. In 2014 the  lowest minimum monthly wage was for an unskilled worker at 420 emalangeni  a month. There is also currently a debate about setting NMW (unresolved)  http://www.observer.org.sz/features/74050-debates-about-national-minimum-wage.html    Lowest rate is unskilled worker rate - in 2016 was 842.77. https://www.separc.co.sz/wp-content/uploads/2018/06/Living-Wage.pdf"]
["Ethiopia",0,null,2019,27588.567999999999,0,"Proclamation Number 515/2007, Article 32-regular working ","NA","public sector workers ","Range for different types of workers - took lowest domestic workers/cleaners.ETB  734. But ONLY for public sector employees, even though formal private sector employment only around 15% of the labour force, does not constitute a national MW. see http://www.wageindicator.org/main/salary/minimum-wage/ethiopia\nGovernment in June 2019 passed a new Labour Law establishing a Wage Board to study and set a minimum wage. https://www.africalegalnetwork.com/ethiopias-new-labour-proclamation/  ALSO NEW PARENTAL LEAVE RULES"]
["Fiji",464.53,null,2019,13663.968000000001,0.40796055728467745,"Media",2017,"All"," In  August 2017, Fiji gov raised the national minimum wage from F$2.32 to F$2.68 per hour.  Working week is 40 hours average work week x 52 weeks / 12 month   Figure used is previous rate *7 months + new rate *5 months.http://www.thejetnewspaper.com/2017/07/10/government-increases-national-minimum-wage-rate/; http://www.abc.net.au/news/programs/pacific-beat/2017-07-10/fiji-minimum-wage-rise-of-36-cents-criticised-as/8694878\nCommenced new review of minimum wage in April 2019, speculation might rise to around F$3.10"]
["Finland",{"$f":"1270*1.018","v":1292.8600000000001},null,2019,43389.777000000002,0.35755703469045258,"Service Union United PAM",2017,"Amusement parks"," Amusement parks are lowest paid industry in Finland.In Finland the minimum wage is not set by Law, instead, collective agreements define the minimum wages.General work in amusement parks (0-6 months experience) is lowest, rate was 7,24 €/hour until May 2018, 7,37€/hour in 2018, and rose by 1.8% in 2019"]
["France",1521.22,null,2019,37183.805,0.49092985508072667,"Eurostat/Eurofound",2019,"All ","Increase announced in Dec2016 with effect on 1 Jan 2017: €1,480.27 per month, €9.76 per hour. Av work week is 35 hours.\nhttp://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en S60\nhttp://www.wageindicator.org/main/salary/minimum-wage/france\nNOTE LOWER RATES FOR YOUNG WORKERS"]
["Gambia, The",1083.3,null,2019,37967.1,0.34239117551775089,"US Gov Human rights report 2018",2015,"Formal Sector only ","Based on 50 dalasi a day*5 days*52 and /12 = 1083.3. \nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/the-gambia/\nhttps://wageindicator.org/salary/minimum-wage/gambia"]
["Georgia",20,null,2019,12052.637000000001,1.9912654799111595E-2,"Media",1990,"All","20 Georgian lari per month for private sector workers which has remained unchanged since the early 1990s; 135 lari per month for public employees which rises every year. Unions in Nov 2019 submitted parliamentary bill demanding 320 for private sector.\nhttp://georgiatoday.ge/news/18010/Georgian-Trade-Unions-Request-Defining-GEL-320-as-Minimum-Salary"]
["Germany",1557.09,null,2019,41460.756000000001,0.45066906160611248,"EUROSTAT/Eurofound",2019,"All","In January 2017  MW increased to 8.84  as hourly MW, and then in 2019 to 9.19. Will be increased again in 2020 to 9.35 S67\nhttps://wageindicator.org/salary/minimum-wage/germany"]
["Ghana",{"$f":"10.65*5*52/12","v":230.75},null,2019,11534.078,0.24007120465112167,"WageIndicator.org",2019,"All","Increase in 2018 from 8.80 Cedis per day to 9.68 and in 2019 to 10.65\nhttps://wageindicator.org/main/salary/minimum-wage/minimum-wages-news/ghanas-minimum-wage-increases-by-10-december-23-2017; and https://wageindicator.org/salary/minimum-wage/ghana"]
["Greece",758.33,{"$f":"L_Source_YouthMinWage!F24","v":751.72978654908127},2019,17734.928,{"$f":"C61/(E61/12)","v":0.50864358956455735},"EUROSTAT/Eurofound",2019,"until Feb 2019 youth min W for under 25, from Feb 2019 abolished","By law and National Collective Agreement, there are 14 salaries paid in Greece per year and the monthly  equivalent should reflect that. Used EUROSTAT figure http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en. Wages were increased in 2019 for first time since 2013. "]
["Guatemala",2992.3,null,2019,35968.468999999997,0.99830771223540271,"Tusalario.org",2018,"Agricultural workers","Pursuant to Agreement No. 288-2016 Gubernativos published in the Journal of Central America on December 30, 2016, the new minimum wage from 1 January 2017 was 2643.21+250 bonus=2893.2. 2018 base rate rose to 2742.37+250=2992.37. No increase in 2019. Rates for maquiladoras were 2417.52 and 2508.16 but applied to only 1% of workforce. \nSee http://www.tusalario.org/guatemala/Portada/tu-salario/salario-minimo. "]
["Guinea",440000,null,2019,9216375.0040000007,0.57289335532771035,"Votresalaire.org",2013,"All workers","The labor code allows the government to set a minimum monthly wage, enforced by the Ministry of Labor. In 2013 the government exercised this provision for the first time, setting the minimum wage at 440,000 GNF ($62) per month.  \nSee http://www.votresalaire.org/guinee/home/salaire/salaire-minimum-1 \nhttp://www.wageindicator.org/main/salary/minimum-wage/guinee"]
["Guinea-Bissau",59000,null,2019,457111.20400000003,1.5488572448117022,"Media ",2017,"Formal Sector only ","In Aug 2017, authorities announced the increase of the MW to 59,000 following public sector strikes.  http://www.afrique7.com/accueil/17454-le-salaire-minimum-en-guinee-bissau-passe-de-19-200-a-59-000-f-cfa.html"]
["Guyana",44200,null,2019,1086445.936,0.48819732526478887,"CAGI.org and media",2017,"Private sector employees","As of January 2017, in line with Section 8 of the Labor Act, the MW was increased by 26%, going from GYD 35,000 to 44,200 per month.  http://www.cagi.org.gy/pubs/Guidance Notes on National Minimum Wage and Five Day Work Week.pdf 2017. Since then minimum wage for public sector employees has risen to 55000 in 2018 and 70000 in 2019 but no similar rise for private sector workers. https://www.inewsguyana.com/gawu-urges-private-sector-to-increase-minimum-wage-for-workers/"]
["Haiti",{"$f":"((215*5*52*(10/12))+(250*5*52*(2/12)))/12","v":4784.7222222222226},null,2019,66111.417000000001,0.86848337658027619,"Arretes 2017 a 2019",2019,"Domestic workers","Various wages for different sectors. Lowest is for domestic workers. From 1.8.2017 was 200 (previously 190); from 1.10.2018 215. MPs approved bill in April 2019 for 335 gourdes but final decision was 250 from 1 November. https://www.haitilibre.com/docs/arrete-salaire-minimum-juillet-2017.pdf; https://www.haitilibre.com/docs/moniteur-18-salaire.pdf; https://www.haitilibre.com/docs/salaire-minimum-nov-2019.pdf"]
["Honduras",6441,null,2019,63673.624000000003,1.2138778216864174,"Honduras Labour Law (Decree No. 103 of 1971). Honduras Constitution, article 128",2019,"Agricultural workers in micro-enterprises","Minimum wages are determined based on the number of employees of a company (From 1 to 10, 11 to 50, 51 to 150 and from 151 onwards) and the sector. There are 40 categories of Min wages. The lowest is small agriculture enterprises.  http://www.wageindicator.org/main/salary/minimum-wage/honduras has tables showing all 50 rates for 2017/18/19. "]
["Hong Kong SAR, China",3880,null,2019,386386.60600000003,0.12050107140618636,"https://www.labour.gov.hk/eng/legislat/content5.htm",2019,"See notes","Gross MW/monthly 2019: With effect from 1 May 2019, the SMW rate is raised to HKD $37.5 per hour. Hourly rate only but no monthly requirement. I HAVE LOOKED AND FOUND THAT THE 2018/19 MW WAS 34.5, SO THE CALCULATION OF THE HOURLY RATE WILL BE (((34.5)*(3/12))+((37.5)*(9/12))). The hourly rate is therefore 36.5\nWith reference to the Minimum Wage Commission (the most updated report released in 2018 to report 2017 data), the median working hours for low-pay job is 54 hours. In other words, the workers who are earning minimum wage has HKD $8,100 per month ($37.5 x 54 x 4). FOR COMPARABILITY PURPOSES AND TO NOT REWARD EXCESSIVE WORKING HOURS ILO ADVISES WE SHOULD USE A 40 HOUR WORKING WEEK AS STANDARDISED TO MAKE THE CALCULATION. THE MONTHLY MW CALCULATION WILL THEREFORE BE THE CALCULATION IN THE PREVIOUS PARAGRAPH (36.5) MULTIPLIED BY 40 MULTIPLIED BY 52/12. So the monthly mw is therefore 6370\nSource: \nMin Wage per hour: Labour Department https://www.labour.gov.hk/eng/legislat/content5.htm\nMedian working hours: Minimum Wage Commission https://www.mwc.org.hk/en/downloadable_materials/2018_MWCReport_Eng.pdf (table 3.6)"]
["Hungary",149000,null,2019,4645233.5049999999,0.38491068276232976,"EUROSTAT/Eurofound",2019,"National ","http://www.wageindicator.org/main/salary/minimum-wage/hungary;\nhttp://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en; \nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf"]
["Iceland",317000,null,2019,8214907.1169999996,{"$f":"B70/(E70/12)","v":0.46306062208883281},"National Collective Agreements 2016 and 2019","2019","Private sector","There is no statutory minimum wage in Iceland. Minimum wage rates are established through sectoral collective agreements, which have the same force as an official minimum wage because coverage under collective agreements is 99%. The rate is the minimum wage (with income guarantee) for a worker engaged at the same company for at least six months. It is the rate agrees by the main trade union federation as the national collective agreement. http://nordichrct.org/nyheder/new-collective-agreement-in-iceland  + http://www.sgs.is/media/1545/lifskjarasamningurinn-2019-2022-undirritadur.pdf"]
["India",5353,null,2019,154600.53200000001,0.41549662972699214,"Code on Wages Bill",2019,"NONE ?","In CRI2 we used the national floor MW which rose from 160 to 176 a day from July 2017. At that stage it was clear the previous government intended to enforce the national floor and to raise it to force states to push up their lowest wages. http://www.thehindu.com/business/Industry/minimum-wage-to-vary-across-states/article19582577.ece.\nHowever, in 2019 the federal government effectively abandoned the national floor having suggested 178 in a draft bill, overruling parliament recommendation of 375. Instead the Economic Review accompanying the budget recommended a five-region system of differing floors https://www.indiabudget.gov.in/economicsurvey/doc/vol1chapter/echap11_Vol1.pdf. It remains unclear how this will be implemented so for the time being wage decisions have been left to the states. The current lowest state level MW is Tamil Nadu for tobacco rolling at 132. However, one in three formal waged workers are not covered by any min Ws - for example a large number of states do NOT set any MW for domestic workers. SHOULD WE JUST CLASSIFY INDIA AS HAVING NO MINIMUM WAGE ? "]
["Indonesia",1570922,null,2019,60209291.873999998,0.31309227219362795,"WageIndicator.org",2019,"All - regionally set","Using the lowest regional MW which is Yogyakarta province. https://www.wageindicator.org/main/salary/minimum-wage/indonesia. New Formula to Calculate Minimum Wage: The Indonesian government has enacted a new mechanism to determine minimum wages. Formula to determine annual minimum wage increase is: previous minimum wage + previous minimum wage x (%annual inflation rate during the year+%GDP annual increase during the year). Formula is not applicable to eight provinces where minimum wage is still below government determined basic cost of living and which will instead be granted an extra 5 percent rise every year for the next four years. "]
["Ireland",1656.2,null,2019,69247.782000000007,0.28700413826972826,"Eurostat/Eurofound",2019,"All","http://www.wageindicator.org/main/salary/minimum-wage/ireland\nhttp://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en; \nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf\nNOTE LOWER RATE FOR UNDER 18"]
["Israel",5300,null,2019,153594.11499999999,0.41407836491652045,"Ministry of Labor and Social Affairs",2017,"All","5000 per month , as of January 2017. Rose to 5300 from 1 Dec 2017. No further increase since then partly reflecting political instability. https://www.btl.gov.il/English%20Homepage/Mediniyut/GeneralInformation/Pages/MinimumWage.aspx; http://www.economy.gov.il/Employment/WorkRights/TermsOfEmployment/Payroll/Pages/UpdatedMinWage.aspx. \nNOTE DIFFERENT RATES FOR 16 TO 18 YEAR OLDS"]
["Italy",874.65,null,2019,29212.799999999999,0.35928770949720668,"Consiglio Nazionale Dell' Economia E Del Lavoro ",2017,"Agriculture ","Collective agreement in the agriculture sector  3° area Category C € 810,09/month . 874,65 from 1.1.2018\nAgreed with Oxfam Italy based on input from Marta Fana at Sorbonne to continue using 874.65 for 2019"]
["Jamaica",{"$f":"7000*52/12","v":30333.333333333332},null,2019,{"$f":"VLOOKUP(A76,T_Source_IMFWEOPCGDP,10,FALSE)","v":729366.06400000001},0.49906352648729757,"Pay and Conditions of Employment Branch. Ministry of Labour and Social Security",2018,"All","Updated March 2016 from $5,600 to $6,200 per 40 hour work per week See http://jis.gov.jm/minimum-wage-rates-effective-march-1/ \nFrom 1 August 2018, $7,000 per week. https://mywage.org/jamaica/salary/minimum-wages New MW due to be announced early 2020. see also https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/jamaica__trashed/"]
["Japan",133293,null,2019,4419633.1689999998,0.36191148424246067,"Wage Indicator",2019,"All","Min wages vary across regions and jobs - see http://www.wageindicator.org/main/salary/minimum-wage/japan. Lowest hourly rate was for meat packing industry in Miyazaki prefecture:714 to 31/9/17; 737 to 31/9/18; 762 to 31/9/19; 790 from 10.19 (x40x52/12). http://www.wageindicator.org/main/salary/minimum-wage/japan. "]
["Jordan",0,null,2019,3110.0970000000002,0,"Labour Law No. 8 of 1996, ",2017,"No national MW - agric workers excluded","Oxfam Jordan confirmed no nationally applicable minimum wage. Agricultural workers are excluded. Current MWs are lower for non-nationals and garment workers though is a plan to equalise nationals and non-nationals over time. \n"]
["Kazakhstan",42500,null,2019,3511245.6230000001,0.14524760007084242,"Law of the Republic of Kazakhstan dated November 29, 2016 № 25-VI for 2017-2019 years",2017,"All","24,459 Kazakhstani tenge per month. Increased to 28,284 in 2018 and 42,500 in 2019. \nSee http://www.wageindicator.org/main/salary/minimum-wage/kazakhstan"]
["Kenya",6629.38,null,2019,203965.88200000001,0.39002875980993723,"Labour Institution Act 2007- 2017 amendment",2017,"Unskilled agricultural workers","Set by the government by location, age and skill level; the lowest agricultural minimum wage for unskilled employees has been increased from 5436.90 to 6,415.55 in May 2017, and then to 6736.3 in May 2019. See amendement to Labor Act on the Regulation of wages in the Agricultural Industry http://www.malindikenya.net/images/uploads/files/Labor%20Wages%20-%202017.pdf + 18% MW increase May 2017 http://www.wageindicator.org/main/salary/minimum-wage/minimum-wages-news/kenya-announces-18-increase-in-minimum-wage-may-11-2017\n"]
["Kiribati",225.33,null,2019,2244.8809999999999,1.2045003721800847,"US Gov Human rights report 2018",2016,"All","Under the Employment Relations and Industrial Relations Code 2015, the government introduced a national minimum wage to apply from 1 November 2016, for local businesses and companies at A$1.30 ($0.98) per hour, while for overseas-funded projects, the minimum wage was A$3.00 ($2.27) per hour. The EIRA law limits the workweek to 40 hours. So 1.30*40*52 weeks/12 months= 225.33 per month. No evidence of increase since 2016 - although Decent Work Advisory Board supposed to recommend new level every 2 years according to the Code - ask Jo Spratt to check ? \nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/kiribati/\nNote also sources for Informality for 2014 : https://www.adb.org/publications/pacific-economic-monitor-july-2014;  Unemployment for 2015 https://www.adb.org/sites/default/files/publication/357006/kir.pdf"]
["Korea, Rep.",1447333,null,2019,36910444.75,0.47054420822171206,"Rep of Korea. MW Commission",2019,"All","The national minimum wage was 6,470 won per hour in 2017. Increased by 16.4% to 7530 for 2018 and by 10.9% to 8350 for 2019. W announced for 2020 is 8590 (much slower rise). 40-hour workweek - x 40 x 52 % 12\nhttp://www.minimumwage.go.kr"]
["Kosovo",130,null,2019,3955.4969999999998,0.39438786074164639,"WB Labour Market report",2011,"under 35 yo","Set min W in 2011 at 130 for under 35s and 170 for over 35s. In 2018 was proposing to increase to 250 but not implemented. NEED TO RECALC AS >60% OF LAB FORCE GETS 170. https://www.seejobsgateway.net/sites/job_gateway/files/Western%20Balkans%20Labor%20Market%20Trends%202019.pdf\nhttps://balkaneu.com/kosovo-with-the-lowest-minimum-salary-in-the-region-changes-expected/\nSee also extra sources on: Unemployment: http://ask.rks-gov.net/en/add-news/anketa-e-fuqis%C3%AB-pun%C3%ABtore-afp-tm4-2017/; Informal, see Foreword: http://ask.rks-gov.net/media/3593/lfs-2016-anglisht.pdf"]
["Kyrgyz Republic",1750,null,2019,91660.758000000002,0.22910567682628155,"State Dept and local auditors",2019,"All","Monthly minimum Wages in Kyrgyz Republic increased to 1300 KGS (State Dept) in 2018 from 1140 in 2017 and 1060 in 2016. Acc jacobs audit in 2019 was 1750 soms and will rise to 1854 in 2020 and 1970 in 2021. \nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/kyrgyz-republic/; http://jacobs-audit.kg/en/news/period-december-28-2018-january-11-2019"]
["Lao PDR",2183333,null,2019,22915340.526999999,1.1433387153522705,"US Gov Human rights reports 2018 and 2016",2018,"All private sector","Min W for private sector is reviewed every 3 years. Was increased in 2015 to 900,000 per month from 626,000 set in 2012. + meal allowance of 50,000 per day (50,000*5 days*52/12= 1,083,333 + 1,100,000 wage= 2,183,333). In May 2018 raised to 1.1 million per month. State Dept"]
["Latvia",430,null,2019,16180.109,0.31891008892461725,"Eurostat/Eurofound",2018,"All","380 per month raised to 430 in 2018 (2.15*40 hour week). Note 355 for teenagers (lower rate of 2.03 per hour and max 35 hour week)\nhttp://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en; \nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf\nhttp://www.wageindicator.org/main/salary/minimum-wage/lativa "]
["Lebanon",0,null,2019,14554618.026000001,0,"US Gov Human rights report 2018",2012,"All - private sector ","Oxfam Lebanon confirmed no national minimum wage , excludes domestic and agricultural workers. "]
["Lesotho",689,null,2019,19910.375,0.41526088785369436,"US Gov Human rights report 2018 AND Government Gazette April 2019",2019,"All","There is a sector-specific national minimum wage and a general minimum wage. Lowest sector specific is for domestic workers. If less than 12 mths emt 624, more 689. In force from 1 April 2019. Previously were taking 2016 GENERAL MinW. In 2017 varied from 1,402 to 1,530 maloti. As of 2018 varied between 1500 and 1637. 2019 1620 to 1768. All new Ws start 1 April each year. USING DOMESTIC WORKERS\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/LESOTHO/\nhttp://www.webbernew.com/wp-content/uploads/2019/04/MINIMUM-WAGES-2019-.pdf"]
["Liberia",91,null,2019,703.82600000000002,1.5515198358685243,"Decent Work Act 2014",2014,"Unskilled workers ","The Decent Work Act requires a minimum wage of L$3.50 a day (increased from $0.17 prior to the Decent Work Act’s passage) for \"informal\" sector workers - though this includes domestic and agricultural workers (have used lowest domestic rate instead of previous $3.90 agricultural rate). The law provides for a 48-hour, six-day regular workweek: 3.9x 6daysx52 weeks / 12 months. There is a higher 5.50 for \"formal\" workers but this leaves out \"formal\" domestic and agricultural workers. No increase since 2014 https://www.ilo.org/dyn/natlex/natlex4.detail?p_lang=en&p_isn=100329&p_country=LBR&p_count=53"]
["Lithuania",555,null,2019,17155.222000000002,0.38821998339630931,"Eurostat/Eurofound/\nWage Indicator",2019,"All","Increased to 400 in 2018 and 555 (huge rise) in 2019\nhttp://www.wageindicator.org/main/salary/minimum-wage/lithuania; http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en\nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf"]
["Luxembourg",2071.1,null,2019,100321.814,0.24773475487594351,"Ministere de la securite sociale+ Eurostat/Eurofound",2019,"All","MW for unskilled workers above 18y old. Normally changed every 2 years NOTE LOWER RATES FOR 15 TO 18 YEAR OLDS http://www.mss.public.lu/publications/parametres_sociaux/ps_20170101.pdf; http://www.wageindicator.org/main/salary/minimum-wage/luxemburg; http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en"]
["Madagascar",{"$f":"(168019*4/12)+(200000*8/12)","v":189339.66666666669},null,2019,1672407.4480000001,1.358566061588121,"Government decrees, Votresalaire,org and RFI",2019,"Lowest Agric or non-Agric Rate","Updated by decree in March 2017 with effect from Feb, in April 2018 with effect from March, and in April 2019 with effect from May. Lowest rate in 2017 was agriculture for workers with < 3 year contracts; 2018 and 2019 non-agric similar.  http://www.votresalaire.org/madagascar/home/salaire/salaire-minimum\nhttp://www.rfi.fr/afrique/20190502-salaire-minimum-augmente-19-madagascar"]
["Malawi",{"$f":" (1346*6*52/12)","v":34996},null,2019,279307.37099999998,1.5035478601816064,"Ministry of Labor, Youth and Manpower Development",2019,"All","With effect from July  2017, MW increased from 787.7 to 962 per day. From July 2019, rose to 1346. Assumed 5 day week. Generally announced in budget speeches March. http://www.wageindicator.org/main/salary/minimum-wage/malawi; https://www.nyasatimes.com/malawi-govt-increases-minimum-wage-workers-k787-70-k962-00-per-day/; https://www.bizmalawionline.com/minimum-wage-increased-to-k35000-per-month/"]
["Malaysia",1100,null,2019,46545.237000000001,0.28359507547463986,"US Gov Human rights reports 2017 and 2018 +Wage Indicator",2019,"All","Prior to 2018, there were two minimum wages, 1 for peninsula (920) and another for islands (1000). In 2018 government equalised rates nationwide at 1050. In jan 2019 raised to 1100.\nUS State Dept for 2017 and 2018 - https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/malaysia/\nWage indicator for 2019. https://wageindicator.org/main/salary/minimum-wage/malaysia"]
["Maldives",0,null,2019,239818.198,0,"US Gov Human rights report 2018 + ILO",2014,"Public sector only ","No national policy on minimum wage, 3,100 rufiyaa per month in the government sector only last updated 2014. ILO has been providing TA to new government to set a MW. https://www.ilo.org/wcmsp5/groups/public/---asia/---ro-bangkok/---ilo-colombo/documents/vacancynotice/wcms_714124.pdf"]
["Mali",40000,null,2019,537270.995,0.89340389573794132,"Le Décret n°2015-0363-P-RM du 19 mai 2015 ",2016,"All","As of Jan 2016, SMIG is 40,000 FCFA. https://www.groupeappm.com/actualites/243-revalorisation-du-smig-au-mali.html; https://www.cleiss.fr/docs/cotisations/mali.html"]
["Malta",761.97,null,2019,27291.027999999998,0.33504197789837747,"EUROSTAT",2019,"National","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en; \nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf\nNOTE LOWER WAGES FOR AGED 17 AND UNDER - SEE EUROFOUND"]
["Mauritania",30000,null,2019,{"$f":"VLOOKUP(A98,T_Source_IMFWEOPCGDP,10,FALSE)*10","v":515427.16000000003},0.69844980617629848,"US Gov Human rights report 2016",2011,"All","The nationally mandated minimum monthly wage for adults was 30,000 ouguiyas ($91) in 2011 - raising this by 43% after negotiations over revised MW (not updated since) http://www.state.gov/j/drl/rls/hrrpt/humanrightsreport/index.htm?year=2016&dlid=265278; "]
["Mauritius",9000,null,2019,400191.09700000001,0.26987107111980552,"Ministry of Labour, Industrial Relations, Employment and Training ",2019,"All","Nat MW fixed in Jan 2018 for first time at 9000 rupees a month including \"special allowances\" paid by MRevA which equalise different base wages in Export Processing Zone(EPZ) and rest of economy. Before then set by sector and lowest was 607 rupees per week for unskilled worker in EPZ. https://sourcingjournalonline.com/mauritius-minimum-wage-increase-2018/ Will increase to 10200 in 2020. https://business.mega.mu/2019/12/04/nouveau-bareme-partir-de-janvier-2020-salaire-minimum-quel-cout-additionnel-pour-les-gros-employeurs/"]
["Mexico",3114.93,null,2019,194203.58100000001,0.19247410273037135,"WageIndicator.org+ State Dept",2019,"\"General workers\"","Overall \"general worker\" basic MW set as well as higher for each sector/profession. General was 80.04 a day in 2017. 2018 rose to 88.36 and 2019 to 102.69. In 2020 will rise to 123.22 (BIG RISES OF 15% IN 2019 AND 20% IN 2020). Have been separate rates for EPZ  since 2019 but are much higher than general.  Mexico like Spain also gets 2 bonus paycheques so need to multiply by 14/12\nThe law sets six eight-hour days and 48 hours per week as the legal workweek . Assumed 6 day weekx52/12. https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/mexico/ http://www.wageindicator.org/main/salary/minimum-wage/mexico \nhttps://es.wikipedia.org/wiki/Anexo:Salario_m%C3%ADnimo_en_M%C3%A9xico"]
["Moldova",2720,null,2019,58533.114000000001,0.55763306903507648,"US Gov Human rights report 2018 and media",2019,"Private sector","The law seems to indicate that there are separate minimum wages for the public and private sectors, but in practice the MW for the private sector takes precedence. In May 2017 the government increased the MW from 2,100 to 2380 lei (based on average 169 work hours). In May 2018 this rose to 2610 lei and in May 2019 to 2775. https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/moldova/ "]
["Mongolia",320000,null,2019,11251846.998,0.34127730324475214,"US Gov Human rights report 2018 and minimumwage;org",2019,"All","One national MW. 192000 from 2017. SD 2018 240000 tugriks per month. MW 2019 320000. Prev CRI had 2018 MW down for 2017. \nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/mongolia__trashed/\nhttps://wageindicator.org/salary/minimum-wage/mongolia-1"]
["Montenegro",193,null,2019,7713.97,0.3002345095975224,"https://wageindicator.org/salary/minimum-wage/montenegro",2019,"All","Euros per month. Raised from 193 (set in 2013) to 222 from 1 July 2019. Note as major rise for report. \nhttps://www.total-montenegro-news.com/lifestyle/4158-minimum-wage-222\n"]
["Morocco",1443.54,null,2019,32366.48,0.53519814326426607,"décret n° 2.14.343 B.O du 10 juillet 2014 (n° 6272)",2019,"Domestic workers","Acc state dept 3 minimum wages - Domestic (lowest), SMAG (for agriculture) and SMIG. From July 2015, domestic was 65 and SMAG was 69.73 dirhams per day. In July 2019 domestic rose to 68.25, will rise to 71.66 in july 2020. Multiplied x 5 days per week x52/12. \nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/morocco/\nhttps://www.medias24.com/l-augmentation-du-smig-et-du-smag-publiee-au-bulletin-officiel-3238.html\nhttps://www.medias24.com/le-smig-a-augmente-21-fois-en-40-ans-mais-pas-assez-1536.html"]
["Mozambique",4216,null,2019,30371.846000000001,1.6657532110494699,"Mozambique Gov -  Consultative Labour Commission (CCT)",2019,"Agricultural workers","Multiple MWs set by sector consultations. In 2016/17 lowest monthly was 3298 agriculture, livestock and forestry workers; 2017/18 3642 also agric; in 2018/19 4063 kapenta fishermen; 2019/20 4267 kapenta. All changes introduced with budget on 1 April. http://www.wageindicator.org/main/salary/minimum-wage/mozambique"]
["Myanmar",{"$f":"4800*6*52/12","v":124800},null,2019,1970195.5649999999,0.76012758662361524,"US Gov Human rights report 2018 +WageIndicator.org",2018,"All","In Sept 2015 MW set at 3,600 Myanmar kyat per day - average work week is 6 days. Rose to 4800 in May 2018. New talks underway should rise again in 2020\nhttps://www.aseanbriefing.com/news/2018/05/25/myanmars-daily-minimum-wage-increased-kyat-3600-kyat-4800.html\nhttps://wageindicator.org/salary/minimum-wage/myanmar\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/burma/"]
["Namibia",{"$f":"900+500","v":1400},null,2019,81453,0.20625391329969431,"Min of Labour ",2017,"Agricultural workers ","MWs by sector. Lowest is agric. Rose in November 2017 from N$690+400 food allowance per month to 900+500 food. No rise since\nhttps://mol.gov.na/media-centre?p_p_id=com_liferay_portal_search_web_portlet_SearchPortlet&p_p_lifecycle=0&p_p_state=maximized&p_p_mode=view&_com_liferay_portal_search_web_portlet_SearchPortlet_mvcPath=%2Fview_content.jsp&_com_liferay_portal_search_web_portlet_SearchPortlet_assetEntryId=70333&_com_liferay_portal_search_web_portlet_SearchPortlet_type=document"]
["Nepal",10781,null,2019,121747.276,1.0626274710244852,"Nepal Gazette and \nPioneer Law",2018,"Tea Industry","Two MW rates in Nepal: tea and non-tea. Raised every 2 years. Rates for unskilled labourers used in CRI1 because they are the headline MW rate. Since CR!2 have used rate for tea sector. During 2016-18 was 7075. From 17 July 2018 was 10781. http://www.pioneerlaw.com/images/download/lGUcW-Legal%20Update-Minimum%20Wage%20-%202072.pdf \nhttp://pioneerlaw.com/news/minimum-wage-remuneration-2018-2075"]
["Netherlands",{"$f":"3251.4/2","v":1625.7},{"$f":"L_Source_YouthMinWage!D40","v":1595.7869207650272},2019,{"$f":"VLOOKUP(A109,T_Source_IMFWEOPCGDP,10,FALSE)","v":46628.536},{"$f":"C109/(E109/12)","v":0.41068076958668243},"https://www.government.nl/topics/minimum-wage/amount-of-the-minimum-wage",2019,"22+ till June 2019, 21+ from July","Semiannual CoL adjustments make calculations complex. Took Eurostat semiannual averages and /2 for annual. \n"]
["New Zealand",3016,null,2019,60523.425000000003,0.59798334281313381,"WageIndicator.org",2019,"All non-trainees","MW changes every year on 1 April. Weekly rate increased from 610 to 630 from 01-04-2017. Then 660 for 2018/19 and 708 for 2019/20. per week x52/12. http://www.wageindicator.org/main/salary/minimum-wage/new-zealand. DONT NEED TO ADJUST FOR SEPARATE RATES FOR 19 AND UNDER BECAUSE ARE ONLY FOR STAFF BEING TRAINED. HIGHER MW RISES AT 5 AND 7% VS 3% PREV GVT"]
["Nicaragua",4176.49,null,2019,63598.686999999998,0.78803324980592759,"Nicaragua Govt ",2017,"Agriculture","MWs by sector. Lowest agric. 9/16 to 2/17= 3480.7; 3/17 to 8/17= 3624.32; 9/17-2/18= 3773.82; 3-8/18 = 3970.05; 9/18-2/19 =4176.49 . http://www.wageindicator.org/main/salary/minimum-wage/nicaragua. No increase planned in 2019. https://www.voanoticias.com/a/salario-minimo-en-nicaragua-se-mantiene-congelado-por-recesion-economica/5062828.html\nNeed to add 13th month \"aguinaldo\" payment. See https://www.globallivingwage.org/wp-content/uploads/2019/01/2017-LW-Nicaragua-Benchmark.pdf. In line with ILO guidelines not adding food provision. CHECK NOT IN OTHER COUNTRIES UNLESS CASH."]
["Niger",30047,null,2019,232369.40700000001,1.5516844693759537,"WageIndicator.org",2012,"All formal workers","The labor code establishes a minimum wage for salaried workers in the formal sector with fixed (contractual) terms of employment. Minimum wages can be set for each class and sector, but there has been only one MW since 2012 @ 30,047 CFA francs ($52) per month. https://wageindicator.org/main/salary/minimum-wage/niger"]
["Nigeria",27000,null,2019,722151.83100000001,0.44865911307230349,"US Gov Human rights report 2016",2019,"All sectors","The legal national monthly minimum wage is 18,000 naira (even though enterprises with <50 workers exempt). Was updated to 30000 in April 2019. \nhttps://wageindicator.org/salary/minimum-wage/nigeria"]
["North Macedonia",{"$f":"((17370*3/12)+(17943*9/12))","v":17799.75},null,2019,334248.587,0.63903635888818278,"https://wageindicator.org/salary/minimum-wage/north-macedonia",2019,"All","Raised from 14,223 to 17,130 in Sept 2017, 17,370 in July 2018 and 17,943 in April 2019. Need to be careful with this one as about 50% of sources report \"net\" MW !\nhttps://www.rsm.global/macedonia/en/news/new-increase-minimum-salary-republic-macedonia-july-2018\nILO Report on min W reform - https://www.ilo.org/wcmsp5/groups/public/---europe/---ro-geneva/---sro-budapest/documents/publication/wcms_714892.pdf "]
["Norway",{"$f":"((140.75*5/12)+(143.05*7/12))*8*5*52/12","v":24629.222222222223},null,2019,682720.66599999997,0.43290130412819039,"Arbeitstilsynet",2017,"Agricultural and horticultural sector . Unskilled workers","No general MW. Multiple rates for sectors. Lowest rate applies to agricultural/horticultural unskilled workers. 143.05 from 1/6/2019. 140.75 in 2018/19. 138.55 in 2017/18. NOK 135.05 in 2016/17. All calculated as *8*5*52/12 ;  https://www.arbeidstilsynet.no/en/working-conditions/pay-and-minimum-rates-of-pay/minimum-wage/\nSEPARATE WAGES FOR UNDER 18s"]
["Occupied Palestinian Territory",1450,null,2019,{"$f":"2951*3.6","v":10623.6},1.6378628713430474,"Palestinian Central Bureau of Statistics",2012,"All  ","MW introduced in 2012 at NIS 1450. No increase by Sept 2019.  http://www.pcbs.gov.ps/post.aspx?lang=en&ItemID=3595\nhttp://www.pcbs.gov.ps/site/512/default.aspx?tabID=512&lang=en&ItemID=1387&mid=3171&wversion=Staging"]
["Oman",0,null,2019,{"$f":"VLOOKUP(A117,T_Source_IMFWEOPCGDP,10,FALSE)","v":6840.65},0,"US Gov Human rights report 2018",2013,"All citizens","225 Omani rials per month plus allowances of 100 rials per month for citizens; does not apply to foreign workers, OR TO SMALL AND FAMILY BUSINESSES OR SOME CATEGORIES OF MANUAL LABOURERS. THEREFORE NOT COUNTING  https://www.minimum-wage.org/international/oman\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/oman/"]
["Pakistan",{"$f":"(15000+16500)/2","v":15750},null,2019,188340.166,1.0035034162601302,"Federal Finance Ministry",2019,"Unskilled ","Set by region and skill level but until 2017/18 unskilled workers general MWs same in all provinces. Change annually on 1 July. 14000 in 2016/17; 15000 2017/19 (NO RISE for all except Sindh province in 2018/19); and 16500 (Punjab lowest) in 2019-20. https://paycheck.pk/salary/minimum-wages/ https://dailytimes.com.pk/417306/setting-the-minimum-wage/"]
["Panama",250,null,2019,16245.451999999999,0.1846670686663566,"wageindicator.org",2018,"Lowest paid sectors","Multiple MWs by sector and region (capital+outside). Updated every 2 years. Domestic service is lowest (225 balboas per month for 2016 and 2017; 250 for 2-18 and 2019. https://wageindicator.org/salary/minimum-wage/panama ; (CR!1 and 2 used agric) https://www.mitradel.gob.pa/salario-minimo/ ; https://www.gacetaoficial.gob.pa/pdfTemp/27934/54016.pdf"]
["Papua New Guinea",667,null,2019,9320.9140000000007,0.8587140703154218,"WageIndicator.org+ State Dept+ media",2016,"All","In July 2015 the government raised the minimum wage to 3.36 kina and in July 2016 to 3.50. No further raises since acc SD, WI and media. Took 3.5 x 44 x 52 % 12 = 610. https://wageindicator.org/salary/minimum-wage/papua-new-guinea ; https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/papua-new-guinea/ ; https://news.pngfacts.com/2019/08/png-minimum-wage-review-overdue.html"]
["Paraguay",2192839,null,2019,35079121.158,0.7501347562693691,"Resoluciones MTESS No. 815/16 & MTESS No. 440/17",2019,"Rural workers in cattle farms","Headline MW rate does NOT apply to dom workers (40% less) and agric workers (much lower). From Oxfam: Nov2016 resolution MTESS 815/16 set monthly MW rural workers of cattle farms of Category A at PYG 698,092. + June 2017 MTESS 440/17 sets same at PYG 725,318 for 2017/18/ However by 2019 domestic(2319/19) and general are lowest at 2192839 and agric are 2269589 (Dec2291/19)"]
["Peru",930,null,2019,23856.675999999999,0.46779358532596915,"WageIndicator.org",2018,"Private sector","The minimum wage is determined by the National Labour Council, attended by government, business associations and labour confederations. It is increased every 2 years. In May 2016 it rose to 850 and in April 2018 to 930.\nhttp://www.wageindicator.org/main/salary/minimum-wage/peru\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/peru__trashed/"]
["Philippines",2000,null,2019,172959.84700000001,0.13876052977775818,"National Wages & Productivity Commission",2017,"All (by region)","Very complex 17 tripartite regional wage boards of the National Wage and Productivity Commission set new MWs every 2 years. Previously CRI used lowest regional agric rate - non-plantation agric 235 a day in 2016-17 rising to 256 in 2018. However, these produce monthly MWs of 5092-5547. lowest MW is actually domestic workers - 2000 a month in districts VIII, X, XI and XII. Also gives increases so can calc 2017 wages. See https://nwpc.dole.gov.ph/stats/current-monthly-minimum-wage-for-domestic-workers/"]
["Poland",2250,null,2019,59429.468999999997,0.45432006131503549,"Eurostat/Eurofound",2019,"All workers","Revised annnually from 2000 zlotys a month in 2017 to 2100 in 2018 and 2250 in 2019. http://www.wageindicator.org/main/salary/minimum-wage/poland\nhttp://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en; https://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf"]
["Portugal",700,null,2019,20506.701000000001,0.40962220105515751,"Eurostat/Eurofound",2019,"All workers","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en; http://www.wageindicator.org/main/salary/minimum-wage/portugal\nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf"]
["Romania",2080,null,2019,52633.482000000004,0.47422285305007933,"Eurostat/Eurofound",2019,"All workers ","Increased from 1250 to 1450 in June 2017. Huge increases in 2018 and 2019 - role of regional coordination ? \nhttp://www.wageindicator.org/main/salary/minimum-wage/romania\nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf\nhttp://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en;"]
["Russian Federation",11280,null,2019,743526.87899999996,0.18205125305227871,"WageIndicator.org",2019,"All","The national monthly MW for all sectors was increased in 2017 to 7,800 rubles, in 1/18 to 9489, in 5/18 to 11163, and in 1/19 to 11280  http://www.wageindicator.org/main/salary/minimum-wage/russia"]
["Rwanda",2167,null,2019,743324.26899999997,3.4983386234628648E-2,"WageIndicator.org",1974,"All","Since 1974 Labour Law the MW has been RwF 100 per day. Figure based on 5 days a week x 52 % 12. Discussion of updating for 2020 to around RwF 1400 - 2019 labour law obliged Labour minister to set a new one.  http://rwandatoday.africa/news/Cabinet-considers-raising-minimum-wage-to-Rwf1-400/4383214-4763526-wftq5pz/index.html\nhttp://www.wageindicator.org/main/salary/minimum-wage/rwanda"]
["Samoa",398.6,null,2019,11706.344999999999,0.40859892647961432,"Media",2015,"All private sector","$2.30 per hour for all private sector employees- work week is 40 hours. Gvt report recommended increasing to 3.70 in 1.2020. Unions calling for $5. https://www.samoaobserver.ws/category/samoa/48987; https://www.samoaobserver.ws/category/samoa/38048"]
["Sao Tome and Principe",1300,null,2019,41980.343999999997,0.37160248138986191,"US Gov Human rights report 2018",2017,"All","In 2016 had different MWs for public and private, and sizes of business. 800k for micro-enterprises. Jan 2017 1300 dobras per month. https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/sao-tome-and-principe/   .NOTE REVALUED CURRENCY IN 2018 - DIVIDED BY 1000. No information on any increases since 2017"]
["Senegal",{"$f":"213.92*2352/12","v":41928.32},null,2019,833972.91,0.60330477641054303,"Wageindicator.org",2018,"Agricultural","Two minimum wages - general and agricultural. Pre-2018 SMIG (in existence since 1996 !) was 209 CFA francs and SMAG 183 CFA francs. SMAG rose to 213.39 in June 2018 and SMIG 317.31 from Jan 2019. USe SMAG. SMAG is based on 2352 hours of work per year, and SMIG on 40 hours of work per week. http://www.wageindicator.org/main/salary/minimum-wage/senegal + \nhttps://www.jeuneafrique.com/556925/economie/senegal-le-salaire-minimum-revalorise-pour-la-premiere-fois-depuis-1996/"]
["Serbia",36386.5,null,2019,776427.98899999994,0.5623676711633846,"Social & Eco Council + Eurostat ",2019,"National","Used Eurostat numbers. http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en"]
["Seychelles",5250,null,2019,240624.05,0.26181921549404558,"US Gov Human rights report 2016",2019,"All workers (except contract labour)","Gov announced MW increases in April 2016 and Jan 2019. Monthly rates went to 5050 and 5250. (Previous CRI overestimated MW by using long working week).\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/seychelles/; http://www.seychellesnewsagency.com/articles/8791/Minimum+wage+to+increase%2C+President+of+Seychelles+announces+in+State+of+Nation\nSource for informality: DPRU Working paper 201706 for year 2017"]
["Sierra Leone",500000,null,2019,4901985.1140000001,1.2239939250048077,"US Gov Human rights report 2018",2014,"All","Minimum wage revised with new law in 2014 to 500,000 per month (includes informal sector in principle but not being enforced). https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/sierra-leone/\nOn 5 November 2018 unions asked for increase to 1750000. http://awoko.org/2018/11/05/labour-congress-proposes-le1750000-as-national-minimum-wage/  In 2020 budget speech announced 600,000 from 1.1.2020. http://sierraexpressmedia.com/?p=88127"]
["Singapore",0,null,2019,87842.760999999999,0,"US Gov Human rights report 2018",2019,"NO NAT MW","The law does not specify a MW, except cleaners (1200 from 6/19), security guards (1175 from 1.19) and landscapers (1300 from 1.19).\nhttps://www.minimum-wage.org/international/singapore \nhttps://www.mom.gov.sg/employment-practices/progressive-wage-model/what-is-pwm\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/singapore/"]
["Slovak Republic",520,null,2019,17405.309000000001,{"$f":"B136/(E136/12)","v":0.3585113024997143},"EUROSTAT/Eurofound",2019,"All","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en\nhttps://wageindicator.org/main/salary/minimum-wage/slovakia\nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf"]
["Slovenia",886.63,null,2019,23302.092000000001,0.45659248105277411,"EUROSTAT/Eurofound",2019,"All","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en; https://wageindicator.org/main/salary/minimum-wage/slovenia\nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf"]
["Solomon Islands",{"$f":"((3.5*45*52/12)*7/12)+((8*45*52/12)*5/12)","v":1048.125},null,2019,18266.042000000001,0.68857281725291108,"US Gov Human rights report 2018 + media",2019,"Agriculture, forestry and fishing workers","Until Aug 2019, two MWs - one general ($4) and other fishing and agric ($3.50) \nSolomon Islands' labour law sets out a maximum 9 hour day/45 hour week. \nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/solomon-islands/\nRaised to $8 for all sectors from 1 August 2019/ https://www.solomontimes.com/news/minimum-wage-doubled/9262"]
["South Africa",2600,null,2019,87055.847999999998,0.35839062758885537,"Ministry of Labour ",2019,"Domestic workers ","Before 1.1.2019 sectoral MWs hich covered almost all formal workers. Used rates for domestic workers which were the lowest. \nAs of 1.1.19 national MW introduced at R20 an hour. BUT domes workers only get R15 so using that. \nhttps://wageindicator.org/salary/minimum-wage/south-africa/6242-domestic-workers"]
["South Sudan",0,null,2019,60678.258000000002,0,"US Gov Human rights report 2018 & media ",null,null,"2018 labor act specified maximum 40 hour week and allowed for a minimum wage but none has been introduced. https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/south-sudan/ \nInformality: https://www.zambakari.org/africa1/capturing-the-informal-economy-in-south-sudan said there are \"no estimates of size of South Sudan’s informal economy...It is estimated that 76% of the population engages in subsistence activities \". Unemployment: article dated Aug 2017 saying 12% https://borgenproject.org/causes-of-poverty-in-south-sudan/ "]
["Spain",1050,null,2019,26677.484,0.4723084080942565,"Empleo.gob.es\nEurostat/Eurofound",2019,"All","Empleo.gob.es - Like Greece, Spain pays salaries on a 14 month basis. 707.7*14/12. Large increase in 2019.  \nhttp://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en; https://wageindicator.org/main/salary/minimum-wage/slovenia\nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf"]
["Sri Lanka",11500,null,2019,704446.63,0.19589844584819718,"NMW Act No. 3 of 2016",2016,"National","SInce 1 January 2016, the minimum wage (nationwide) is 10,000 Rupees (corresponding to a daily MW of 400 Rupees). In addition, under separate legislation (linked below), employers must provide budget relief of 1,500 Rupees/ month  to all workers whose monthly wages fall below 40,000 Rupees/month (eg still lowest paid textile workers as of 2018): \nhttp://www.srilankalaw.lk/gazette/2016_pdf/Act%20No.%2003.pdf + http://www.sundaytimes.lk/160124/news/10000-rupee-minimum-wage-180562.html . Will be raised to 12500 in 2020. NOT SURE IF SUPPLEMENT WILL STILL APPLY."]
["St. Lucia",0,null,2019,29904.987000000001,0,"US Gov Human rights report 2016",2013,null,"No national minimum wage is in effect. Only very low MWs for a few specific sectors. \nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/saint-lucia/\nApparently new plans due in 2020. https://stluciatimes.com/saint-lucias-labour-minister-speaks-on-minimum-wage/"]
["St. Vincent and the Grenadines",550,null,2019,20927.136999999999,0.31537997768161025,"Media /Ministry of Labour ",2017,"Kitchen workers","Multiple wages by sector and skill level. Last increase was in 2017, with lowest rate set for kitchen assistant at 550 a month\nhttp://dol.gov.vc/dol/index.php?option=com_content&view=article&id=56&Itemid=89"]
["Sweden",19490,null,2019,483866.11900000001,0.48335684359003445,"Kollektivavtal: Lönebildningsavtal – tjänstemän, Unionen, Sveriges Ingenjörer 2017-2020",2019,"Food industry ","Rate applies to workers over the age of 18 after 1st April 2017. Agreement covers the three years 2017 to 2019. https://www.livsmedelsforetagen.se/app/uploads/2016/04/lonebildningsavtalet-2017-2020-li-unionen-sv-ing.pdf\nNEED TO CHECK WHAT DONE FOR WORKERS BELOW 18. "]
["Switzerland",{"$f":"18.75*42*52/12","v":3412.5},null,2019,82789.729000000007,0.49462657378670727,"GAV-Service.CH",2014,"Construction, Zone vert","There is no national MW, but 3 main cantons and around half of citizens in others are covered by a collective agreement with a MW, and government has also stepped in to set MWs for low-paid sectors like domestic and hospitality workers. Have used Ticino canton MW which is lower than any of the collective or government-set ones at 18.75 CHF per hour. If we do decide to discount for workers not covered by collectively bargained MWs in future CRI, need to do it for Switzerland."]
["Tajikistan",400,null,2019,8362.5360000000001,0.57398856040799107,"US Gov Human rights report 2018",2016,"All","In June 2016 the president signed a decree to increase wages, pensions, and stipends starting July 1. According to new estimates, the minimum monthly wage in August was 400 somoni ($50). No evidence of any increase since 2016. https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/TAJIKISTAN/\n"]
["Tanzania",40000,null,2019,2551090.878,0.18815480237862384,"US Gov Human rights report 2018 and Wage Indicator",2013,"Domestic workers ","in 2015, the government established minimum wage standards in July for employees in both the public and private sectors on the mainland, and it divided those standards into nine employment sectors. The lowest minimum wage was TZS 40,000 ($20) per month for the lowest-paid category of domestic workers residing in the household of the employer, who were not covered at all in previous legislation. No evidence of any increase since then (Danish study says MW 310,777 from 2015 but is highly implausible and prob just refers to public sector). Media refers to private sector MW zanzibar 2017 of 170,000. https://dailynews.co.tz/news/2019-09-285d8f9c215389f.aspx\nhttps://wageindicator.org/main/salary/minimum-wage/tanzania\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/tanzania/\nhttp://www.ulandssekretariatet.dk/sites/default/files/uploads/public/PDF/LMP/LMP2018/lmp_tanzania_2018_final2.pdf\nhttps://www.ssa.gov/policy/docs/progdesc/ssptw/2018-2019/africa/tanzania.html"]
["Thailand",6673.3333333333339,null,2019,249171.095,0.32138559249819892,"Minimum Wage Rate (No. 8)” Notice",2017,"All","After establishing a national MW in 2013 of 300 per day, the Gov reverted to regional setting of MW. https://www.lexology.com/library/detail.aspx?g=7be282d3-c8f1-4670-b557-16871977fdbf. In 2017 lowest was 300 per day (x5*52 % 12). In 2018 lowest was 308. In 2020 will rise to 313 baht\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/thailand/\nhttp://msnagroup.com/thailand-business-and-company-information/thai-labour-law/\nhttps://www.bangkokpost.com/business/1810054/minimum-wage-to-rise-next-month"]
["Timor-Leste",115,null,2019,2262.8420000000001,0.60985256593257509,"US Gov Human rights report 2018",2012,"Formal Private Sector ","The minimum MW was set in 2021 at $115.  The labor code provides for a standard workweek of 44 hours. The law covers all formal private sector. http://www.state.gov/j/drl/rls/hrrpt/humanrightsreport/index.htm?year=2016&dlid=265378\nThere has been no increase since then = in May 2019 unions asking for rise to 250. \nhttp://rttlep.tl/en/tv-news/read/20190501/233324/61876/trabalhadores-timorenses-exigem-aumento-salario-minimo.html"]
["Togo",35000,null,2019,390318.45500000002,1.0760444314630215,"Govt of Togo labour law 2012 \"Convention Collective Interprofessionnelle\"",2012,"Unskilled manual","SMIG and SMAG were last upgraded in 2012, multiple MWs for different labor categories. Lowest manual labourer is  CFA 35,000.00. See https://votresalaire.org/togo/home/droits/conventions-collectives-base-de-donnees/convention-collective-interprofessionnelle-du-togo\nhttps://www.ilo.org/dyn/natlex/docs/MONOGRAPH/107885/133045/F-722985236/TGO-107885.pdf"]
["Tonga",0,null,2019,11138.287,0,"US Gov Human rights report 2018","NONE","NONE","There is no minimum wage law, although the Ministry of Commerce, Tourism, and Labor set guidelines for wage levels\nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/tonga/"]
["Trinidad and Tobago",2636.11,null,2019,110807.69,0.28547946446677125,"Govt 2019 Budget statement p40",2019,"All","The national MW was $15 TTD per hour from 2015. The law establishes a 40-hour workweek. It has just been increased to 17.50 from 1 December 2019.\nhttps://www.finance.gov.tt/wp-content/uploads/2019/10/Budget-Statement-2020-Amended-web.pdf"]
["Tunisia",{"$f":"375.43","v":375.43},null,2019,9696.7039999999997,0.46460735524153363,"Ministry of Social Affairs ",2019,"All","In 2017/18 40-hour SMIG and SMAG were 305.07 dinars per month. In July 2018 raised to 323.92, and in May 2019 to 343.89. In addition since 2015 SMIG earners receive monthly transport allowance of 36.11 and \"presence\" allowance of 2.08. Totals are therefore 343.26; 362.11 and 382.02. See also https://www.paie-tunisie.com/369/fr/smig-et-smag.aspx"]
["Turkey",2558.4,null,2019,51462.192999999999,0.59656999071143357,"WageIndicator.org + Eurostat",2019,"All","MW increased from 1647 to  1778 Turkish lira per month from Jan 2017, to 2029.50 in Jan 2018 and 2558.40 in Jan 2019. \nhttp://www.wageindicator.org/main/salary/minimum-wage/turkey\nhttp://www.csgb.gov.tr/home/contents/istatistikler/asgariucret/\nhttp://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en"]
["Uganda",60,null,2019,2911693.9180000001,2.4727873886365003E-4,"FES",1984,"National","Uganda has the same minimum legal wage from 1984 at 6,000 shillings ($1.64) per month. Due to currency revaluation in 1999, this would be worth 60 shillings a month. In 2017 the Uganda Minimum Wage Advisory Board recommended 136,000 but Cabinet never adopted. Parliament passed in 2019 a law mandating annual increases, but rejected by President. \nhttps://www.state.gov/reports/2018-country-reports-on-human-rights-practices/uganda/\nhttps://www.independent.co.ug/fight-over-minimum-wage-bill/\n(PS of Ministry of Gender, Labour and Social Development Pius Bigirimana email to JL dated 15 Sept 2017)"]
["Ukraine",4173,null,2019,96090.623999999996,0.52113305040042202,"wageindicator.org + media",2019,"All","Significant increases since 2016 - from 1450 to 3200 in 1.2017; 3723 in 1.2018; and 4173 in 1.2019. Will rise to 4723 in 2020. \nhttps://wageindicator.org/main/salary/minimum-wage/ukraine;\nhttps://www.unian.info/economics/10816289-minimum-wage-up-in-ukraine.html"]
["United Kingdom",1407,{"$f":"L_Source_YouthMinWage!D47","v":1389.3284889653196},2019,32675.466,{"$f":"C158/(E158/12)","v":0.51022812857768685},"Gov.uk + Eurostat",2019,"National, over 25","Nat MW increases in April every year. Rose from 7.20 in 2016/17 to 7.50 in 2017/18 to 7.83 in 2018/19 to 8.21 in 2019/20.  https://www.gov.uk/national-minimum-wage-rates\nhttp://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=earn_mw_cur&lang=en\nhttps://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef19028en.pdf"]
["United States",1256.67,null,2019,65111.595999999998,0.23160298512725755,"US Dept of Labor",2009,"National ","$7.25 an hour https://www.dol.gov/newsroom/releases/esa/esa20090716. This is federal min W - Georgia and Wyoming have a very few employers paying 5.15 - those not subject to Fair Labor Standards Act. https://www.paycor.com/resource-center/minimum-wage-by-state. But Oxfam US indicated should use federal wage. No increase since 2009"]
["Uruguay",15325,null,2019,568513.72100000002,0.3234750423904017,"Ministerio de Trabajo  y de Securidad Social",2019,"National ","Monthly MW rose 10% in 2017 to 12,265 pesos, 9.5% in 2018 to 13430, 12% in 2019 to 15000, a further rise to 15650 in July 2019 and will be 16300 from 1.1.2020. All based on a 3-year agreement between unions and gvt covering 2019-21. Has risen by 55% in real terms since 2005. \nhttps://www.presidencia.gub.uy/comunicacion/comunicacionnoticias/salario-minimo-crecio-historico"]
["Uzbekistan",211176,null,2019,15847220.834000001,0.15990892198353773,"US Gov Human rights report 2018",2019,"All","2017 level from https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/uzbekistan/. Sharply raised to 184.300 in April 2018. To 202,730 in 11.18 - https://checkinprice.com/average-and-minimum-salary-in-tashkent-uzbekistan/ ; and from 1.8.2019 to 223,000"]
["Vanuatu",35822,null,2019,365963.09,1.1746102591930787,"US Gov Human rights report 2018 + media",2019,"All","Increase from VT170 to VY200 per hour from January 1 2018. https://www.state.gov/reports/2018-country-reports-on-human-rights-practices/vanuatu/  and from 200 to 220 on 1 September 2019 https://dailypost.vu/news/new-minimum-wage-effective/article_979d75e8-da6f-11e9-9cfa-379369406b99.html . MWs are reviewed every 2 years"]
["Venezuela, RB",108064.6,null,2019,{"$f":"VLOOKUP(A163,T_Source_IMFWEOPCGDP,9,FALSE)*100","v":7063767.5},0.18358124046410079," Gaceta oficial+wikipedia",2019,"All","National MW has risen multiple times to try to keep up with galloping inflation. To MW needs to be added a food subsidy. Totals were as follows: 1-2/17, 104,358; 3-4/17, 148,638; 5-6/17, 200.021; 7-8/17, 250,532; 9-10/17, 354,544; 11-12/17, 456,507. 1-2/18, 797,510; 3-4/18, 1,307,646; 5/18, 2,555,500; 16.6.18, 5,196,000. From 1.9.18 revalued currency (new VEF worth 100,000 VEB). New MW 9-11.18, 1980; 12.18, 4950;  CALCD 2018 IN VEB OLD CURRENCY SO MAY NEED RECALC DEPENDING ON HOW GDP CALCD. 2019 CALCD IN VEF: 1-14.1.19, 4950;14.1-30.4.19, 19800; 5-9.19, 65000; 10-12.19, 300,000.  \nSEE https://es.wikipedia.org/wiki/Anexo:Salario_m%C3%ADnimo_en_Venezuela"]
["Vietnam",2920000,null,2019,{"$f":"VLOOKUP(A164,T_Source_IMFWEOPCGDP,10,FALSE)","v":63721807.186999999},0.54989024239646134,"Wageindicator.org",2019,"All, by region","National Wages Council, which consists of representatives from MOLISA, VGCL, and VCCI, determines MW which varies by 4 regions.  Lowest is region 4. 2017 was VND 2,580,000 per month. 2018 2.76 million; 2019 to rise to 2.92. 2020 will be 3.07\nhttps://wageindicator.org/main/salary/minimum-wage/vietnam \nNB: CRI 2016 figure incorrect, should have been 2,400,000 not 2,950,000 . \nUNEMPLOYMENT: Oxfam VN recommends using 2.24% from General Statistic Office, 2017, Social Economic Development, https://www.gso.gov.vn/default.aspx?tabid=621&ItemID=18668) [The unemployment rate for working age people in 2017 is 2.24%]"]
["Yemen, Rep.",20000,null,2019,{"$f":"VLOOKUP(A165,T_Source_IMFWEOPCGDP,10,FALSE)","v":533932.321},0.44949517113049992,"Law no 43 for 2005, article 38",2005,"Private sector","From Dina ElMamoun Head of Policy, Advocacy, and Media , Yemen \" Yemen has a minimum wage level set at 20,000 riyals , which was at the time of the law equivalent to 100 USD. However, now with the depreciation in the currency 1 USD = 600 Yemeni Riyals. So now in reality the minimum wage in Yemen is equivalent to 33 USD\". http://www.ilo.org/dyn/natlex/docs/WEBTEXT/44043/65001/E95YEM01.htm. Law no 43 for 2005, article 38 ( e) sets the minimum wage in Yemen as 20,000 riyals a month : https://www.yemen-nic.info/db/laws_ye/detail.php?ID=18812. No evidence of change in 2018-20\n\n"]
["Zambia",993.6,null,2019,{"$f":"VLOOKUP(A166,T_Source_IMFWEOPCGDP,10,FALSE)","v":17111.300999999999},0.69680265691077492,"Wageindicator.org",2018,"Domestic workers","Statutory Instrument ‎of 2012 defined the minimum wage for five categories of workers in unionized positions plus domestic workers. Domestic workers received 420,000 + transport allowance 102,000 = 522,000. CURRENCY WAS REVALUED DIVIDD BY 1000 IN 2015. SO FIGURE USED HERE IS 522 (CRI2 was incorrect, used lowest unionised of 700). From 1.9.2018 acc WI was 993.6 including transport allowance."]
["Zimbabwe",187.58,null,2019,{"$f":"VLOOKUP(A167,T_Source_IMFWEOPCGDP,10,FALSE)","v":6538.61},0.34425665393715182,"CFU+Media",2019,"Farm workers till 7.2019, now domestic workers","Multiple MWs by sector and grade. Lowest until July 2019 was general agric workers. $72 a month 2016/17, increased to $75 1.6.2017, $80 1.7.18, $105 1.9.18; $121 1.11.18. 1.7.19 195; 1.10.19 360. Lower figures quoted elsewhere exclude allowances. http://www.cfuzim.com/wp-content/uploads/2019/12/si253gen.pdf\nNew MW for dom workers from 18.9.2019 = lowest $160 + $150 allowances. Previously $85+$91 from 2011. Looks as though given faster agric worker rises, domestic worker has been lowest since July 2019. Combining agric 1-6.2019 with dom 7-12.19\nhttps://mywage.org/zimbabwe/decent-work-check/domestic-workers/new-minimum-wages-for-domestic-workers. "]

{"sheet":"L2","index":15,"n_rows":167,"n_cols":5,"rows_kept":167,"cut":false,"hidden":false,"merged":[[0,0,0,2]]}
["INDICATOR L2:  Unemployment & Vulnerable Employment"]
["Country","Informal/Vulnerable employment. Status in employment - ILO modelled estimates for 2019 (November 2019)","ILO Modelled estimates  -Unemployment rate for 2019 (November 2019)"]
["Afghanistan",{"$f":"VLOOKUP(A3,L_Source_ILO_Informal_Vul,4,FALSE)","v":79.725999999999999},{"$f":"VLOOKUP(A3,L_Source_ILO_Unemployment,7,FALSE)","v":11.118}]
["Albania",{"$f":"VLOOKUP(A4,L_Source_ILO_Informal_Vul,4,FALSE)","v":52.851999999999997},{"$f":"VLOOKUP(A4,L_Source_ILO_Unemployment,7,FALSE)","v":12.331}]
["Algeria",{"$f":"VLOOKUP(A5,L_Source_ILO_Informal_Vul,4,FALSE)","v":26.992999999999999},{"$f":"VLOOKUP(A5,L_Source_ILO_Unemployment,7,FALSE)","v":11.704000000000001}]
["Angola",{"$f":"VLOOKUP(A6,L_Source_ILO_Informal_Vul,4,FALSE)","v":65.995000000000005},{"$f":"VLOOKUP(A6,L_Source_ILO_Unemployment,7,FALSE)","v":6.8860000000000001}]
["Antigua and Barbuda",9,8.6999999999999993,"Not ILO","Prelim Results of 2018 Labour Force Survey as at Oct 2018\nhttps://statistics.gov.ag/wp-content/uploads/2020/03/2018-Labour-Force-Survey-Bulletin.pdf"]
["Argentina",{"$f":"VLOOKUP(A8,L_Source_ILO_Informal_Vul,4,FALSE)","v":21.805},{"$f":"VLOOKUP(A8,L_Source_ILO_Unemployment,7,FALSE)","v":9.7889999999999997}]
["Armenia",38.667999999999999,16.989999999999998]
["Australia",10.634,5.2679999999999998]
["Austria",7.3849999999999998,4.6740000000000004]
["Azerbaijan",55.231000000000002,5.5090000000000003]
["Bahamas, The",14.066000000000001,10.36]
["Bahrain",1.081,0.71399999999999997]
["Bangladesh",55.25,4.1900000000000004]
["Barbados",15.840999999999999,10.331]
["Belarus",3.2869999999999999,4.5949999999999998]
["Belgium",10.189,5.5890000000000004]
["Belize",29.622,6.4130000000000003]
["Benin",87.731999999999999,2.2320000000000002]
["Bhutan",71.478999999999999,2.3420000000000001]
["Bolivia",63.223999999999997,3.4980000000000002]
["Botswana",25.911999999999999,18.193000000000001]
["Brazil",27.907999999999998,12.083]
["Bulgaria",7.7940000000000005,4.34]
["Burkina Faso",86.419000000000011,6.2640000000000002]
["Burundi",94.580999999999989,1.427]
["Cabo Verde",35.167999999999999,12.249000000000001]
["Cambodia",50.279000000000003,0.67700000000000005]
["Cameroon",73.561999999999998,3.38]
["Canada",10.691000000000001,5.5640000000000001]
["Central African Republic",91.378999999999991,3.68]
["Chad",93.024000000000001,1.891]
["Chile",22.694000000000003,7.09]
["China",45.378,4.32]
["Colombia",47.057000000000002,9.7070000000000007]
["Congo, Dem. Rep.",79.673999999999992,4.2359999999999998]
["Congo, Rep.",75.978000000000009,9.4719999999999995]
["Costa Rica",21.056000000000001,11.853999999999999]
["Cote d'Ivoire",{"$f":"VLOOKUP(A40,L_Source_ILO_Informal_Vul,4,FALSE)","v":71.185999999999993},{"$f":"VLOOKUP(A40,L_Source_ILO_Unemployment,7,FALSE)","v":3.3170000000000002}]
["Croatia",7.2709999999999999,6.9349999999999996]
["Cuba",23.098000000000003,1.6379999999999999]
["Cyprus",11.06,7.274]
["Czech Republic",13.680999999999999,1.9330000000000001]
["Denmark",4.8949999999999996,4.9130000000000003]
["Djibouti",44.741,10.295]
["Dominican Republic",40.4,5.8449999999999998]
["Ecuador",46.728000000000002,3.968]
["Egypt, Arab Rep.",20.721,10.76]
["El Salvador",34.191000000000003,4.1100000000000003]
["Estonia",6.149,5.1150000000000002]
["Eswatini",32.637,22.082999999999998]
["Ethiopia",85.971000000000004,2.081]
["Fiji",43.140999999999998,4.101]
["Finland",9.5850000000000009,6.5949999999999998]
["France",7.4279999999999999,8.4269999999999996]
["Gambia, The",72.051000000000002,9.0559999999999992]
["Georgia",49.084000000000003,14.398]
["Germany",5.62,3.0430000000000001]
["Ghana",68.700999999999993,4.3310000000000004]
["Greece",25.796000000000003,17.238]
["Guatemala",37.542999999999999,2.4590000000000001]
["Guinea",89.373999999999995,4.2960000000000003]
["Guinea-Bissau",75.740000000000009,2.4660000000000002]
["Guyana",25.512999999999998,11.852]
["Haiti",72.269000000000005,13.781000000000001]
["Honduras",41.39,5.3860000000000001]
["Hong Kong SAR, China",5.7169999999999996,3.629]
["Hungary",6.024,3.399]
["Iceland",8.1079999999999988,2.8420000000000001]
["India",74.27000000000001,5.3550000000000004]
["Indonesia",47.895000000000003,4.6870000000000003]
["Ireland",{"$f":"VLOOKUP(A73,L_Source_ILO_Informal_Vul,4,FALSE)","v":10.610000000000001},{"$f":"VLOOKUP(A73,L_Source_ILO_Unemployment,7,FALSE)","v":4.9279999999999999}]
["Israel",8.2680000000000007,3.8610000000000002]
["Italy",16.866,9.8870000000000005]
["Jamaica",35.773000000000003,8.0020000000000007]
["Japan",8.3070000000000004,2.2909999999999999]
["Jordan",9.202,14.715]
["Kazakhstan",23.154,4.59]
["Kenya",51.3,2.6419999999999999]
["Kiribati"]
["Korea, Rep.",{"$f":"VLOOKUP(A82,L_Source_ILO_Informal_Vul,4,FALSE)","v":19.041},{"$f":"VLOOKUP(A82,L_Source_ILO_Unemployment,7,FALSE)","v":4.1479999999999997}]
["Kosovo",18.8,25.7,"Not ILO","Unemployment - https://ask.rks-gov.net/en/kosovo-agency-of-statistics/add-news/labor-force-survey-in-kosovo-2019\nVulnerable Employment - askdata.rks-gov.net/PXWeb/pxweb/en/askdata/askdata__Labour%20market__02%20Annual%20labour%20market__Punësimi/lfs08.px/table/tableViewLayout1/?rxid=c3e44c2e-1aff-4e4a-b55b-2ca64a485a50"]
["Kyrgyz Republic",{"$f":"VLOOKUP(A84,L_Source_ILO_Informal_Vul,4,FALSE)","v":33.789000000000001},{"$f":"VLOOKUP(A84,L_Source_ILO_Unemployment,7,FALSE)","v":6.33}]
["Lao PDR",80.054000000000002,0.626]
["Latvia",7.1429999999999998,6.52]
["Lebanon",26.882000000000001,6.2290000000000001]
["Lesotho",16.309999999999999,23.405000000000001]
["Liberia",77.197999999999993,2.8140000000000001]
["Lithuania",9.152000000000001,6.3520000000000003]
["Luxembourg",5.6150000000000002,5.3630000000000004]
["Madagascar",85.075999999999993,1.758]
["Malawi",59.189,5.6529999999999996]
["Malaysia",21.789000000000001,3.3239999999999998]
["Maldives",19.466999999999999,6.1379999999999999]
["Mali",80.986000000000004,7.2240000000000002]
["Malta",9.8089999999999993,3.4729999999999999]
["Mauritania",52.503,9.548]
["Mauritius",16.170999999999999,6.6740000000000004]
["Mexico",55,3.4249999999999998,"Not ILO","National source for informal employment - https://www.inegi.org.mx/contenidos/saladeprensa/boletines/2019/enoe_ie/enoe_ie2019_08.pdf"]
["Moldova",37.346999999999994,5.4729999999999999]
["Mongolia",48.486000000000004,6.0110000000000001]
["Montenegro",13.257000000000001,14.882999999999999]
["Morocco",47.537999999999997,9.0190000000000001]
["Mozambique",83.146000000000001,3.2410000000000001]
["Myanmar",59.059000000000005,1.577]
["Namibia",31.020000000000003,20.273]
["Nepal",78.414999999999992,1.407]
["Netherlands",12.652999999999999,3.1960000000000002]
["New Zealand",12.087,4.069]
["Nicaragua",40.870000000000005,6.8369999999999997]
["Niger",93.676000000000002,0.47499999999999998]
["Nigeria",77.612000000000009,10.8,"Not ILO","National source from Oxfam Nigeria - https://nigerianstat.gov.ng/elibrary?queries[search]=unemployment"]
["North Macedonia",19.027999999999999,17.759]
["Norway",4.9060000000000006,3.3460000000000001]
["Occupied Palestinian Territory",{"$f":"VLOOKUP(A116,L_Source_ILO_Informal_Vul,4,FALSE)","v":23.068999999999999},{"$f":"VLOOKUP(A116,L_Source_ILO_Unemployment,7,FALSE)","v":26.169}]
["Oman",2.633,2.6709999999999998]
["Pakistan",55.483000000000004,4.4530000000000003]
["Panama",34.217999999999996,3.9020000000000001]
["Papua New Guinea",77.921999999999997,2.4590000000000001]
["Paraguay",37.483999999999995,4.8090000000000002]
["Peru",50.417999999999999,3.31]
["Philippines",32.698999999999998,2.15]
["Poland",16.058999999999997,3.4740000000000002]
["Portugal",11.847999999999999,6.3339999999999996]
["Romania",23.721999999999998,3.976]
["Russian Federation",5.35,4.585]
["Rwanda",67.996000000000009,1.03]
["Samoa",29.983000000000001,8.359]
["Sao Tome and Principe",48.114000000000004,13.369]
["Senegal",64.628,6.6040000000000001]
["Serbia",24.296999999999997,12.686]
["Seychelles",8.9,2.7,"Not ILO","Employment Q4 Bulletin NBS,  Table 13 unemployment and Table 5 vulnerable. \nhttps://www.nbs.gov.sc/downloads/social-statistics/unemployment-statistics/2019"]
["Sierra Leone",{"$f":"VLOOKUP(A134,L_Source_ILO_Informal_Vul,4,FALSE)","v":86.125},{"$f":"VLOOKUP(A134,L_Source_ILO_Unemployment,7,FALSE)","v":4.4279999999999999}]
["Singapore",9.6660000000000004,4.109]
["Slovak Republic",11.798,5.5609999999999999]
["Slovenia",11.196,4.1950000000000003]
["Solomon Islands",65.677000000000007,0.57599999999999996]
["South Africa",10.298,28.181000000000001]
["South Sudan",84.853999999999999,12.244]
["Spain",10.981999999999999,13.959]
["Sri Lanka",38.996000000000002,4.1980000000000004]
["St. Lucia",29.596999999999998,20.706]
["St. Vincent and the Grenadines",19.864999999999998,18.881]
["Sweden",6.0629999999999997,6.476]
["Switzerland",8.9410000000000007,4.5810000000000004]
["Tajikistan",41.751999999999995,11.016999999999999]
["Tanzania",82.728000000000009,1.98]
["Thailand",48.472000000000001,0.754]
["Timor-Leste",67.655000000000001,4.548]
["Togo",80.911000000000001,2.0379999999999998]
["Tonga",52.239999999999995,1.117]
["Trinidad and Tobago",18.14,2.6859999999999999]
["Tunisia",19.964000000000002,16.021999999999998]
["Turkey",33.799999999999997,13.3,"Not ILO","National sources from Oxfam Turkey: http://www.tuik.gov.tr/PreTablo.do?alt_id=1007 and  http://www.tuik.gov.tr/PreHaberBultenleri.do?id=33778"]
["Uganda",75.239000000000004,9,"Not ILO","National source from Oxfam Uganda: https://www.ubos.org/wp-content/uploads/2019/05/UBOS-LABOUR-DAY-BOOK-final.pdf."]
["Ukraine",14.852,8.8819999999999997]
["United Kingdom",12.997999999999999,3.851]
["United States",3.8370000000000002,3.6819999999999999]
["Uruguay",24.32,8.7309999999999999]
["Uzbekistan",41.976999999999997,5.9169999999999998]
["Vanuatu",70.417000000000002,4.3849999999999998]
["Venezuela, RB",35.610000000000007,8.8010000000000002]
["Vietnam",54.073999999999998,1.89,"Not ILO","National source from Oxfam Vietnam: https://www.statista.com/statistics/444617/unemployment-rate-in-vietnam/"]
["Yemen, Rep.",45.627000000000002,12.91]
["Zambia",78.134,11.425000000000001]
["Zimbabwe",64.739000000000004,4.9539999999999997]

{"sheet":"L3","index":16,"n_rows":2235,"n_cols":14,"rows_kept":2235,"cut":false,"hidden":false,"merged":[]}
["Labour income distribution -- ILO modelled estimates, July 2019 (%)"]
["https://www.ilo.org/shinyapps/bulkexplorer6/?lang=en&segment=indicator&id=LUU_2LU3_SEX_AGE_RT_A"]
["Downloaded from ILOSTAT 10/05/2020",null,null,null,null,null,null,null,null,null,null,"SUMMARY TABLE"]
[null,null,null,null,null,null,null,"GINI CALCULATION"]
["ref_area.label","indicator.label","source.label","classif1.label","time","obs_value","obs_status.label","SHARE OF INC","Wages GINI calculated","Wages Gini Total",null,null,"Row Labels","Sum of Wages Gini Total"]
["Afghanistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AFG - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.16481089600000001,"Imputation",{"$f":"F6/100","v":1.6481089600000002E-3},{"$f":"H6*((0.1+(2*0.9)))","v":3.1314070240000005E-3},null,null,null,"Afghanistan",0.72093571823500002]
["Afghanistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AFG - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.23613181699999999,"Imputation",{"$f":"F7/100","v":2.36131817E-3},{"$f":"H7*((0.1+(2*0.8)))","v":4.0142408890000009E-3},null,null,null,"Africa",0.73317985747799996]
["Afghanistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AFG - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.464168519,"Imputation",4.6416851899999997E-3,{"$f":"H8*((0.1+(2*0.7)))","v":6.9625277849999995E-3},null,null,null,"Albania",0.44457682636300011]
["Afghanistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AFG - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.1023110149999999,"Imputation",1.1023110149999999E-2,{"$f":"H9*((0.1+(2*0.6)))","v":1.4330043194999999E-2},null,null,null,"Algeria",0.49325423227499987]
["Afghanistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AFG - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.2571201319999998,"Imputation",2.2571201319999998E-2,{"$f":"H10*((0.1+(2*0.5)))","v":2.4828321452E-2},null,null,null,"Americas",0.55925666620500003]
["Afghanistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AFG - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.8395981789999998,"Imputation",3.8395981789999999E-2,{"$f":"H11*((0.1+(2*0.4)))","v":3.4556383610999997E-2},null,null,null,"Angola",0.610553838731]
["Afghanistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AFG - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.860369682,"Imputation",5.8603696820000002E-2,{"$f":"H12*((0.1+(2*0.3)))","v":4.1022587774000002E-2},null,null,null,"Arab States",0.55339785063699998]
["Afghanistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AFG - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.7693815229999998,"Imputation",8.769381523E-2,{"$f":"H13*((0.1+(2*0.2)))","v":4.3846907615E-2},null,null,null,"Argentina",0.40012358005199988]
["Afghanistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AFG - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.53287697,"Imputation",0.1453287697,{"$f":"H14*((0.1+(2*0.1)))","v":4.3598630910000005E-2},null,null,null,"Armenia",0.43165833103899998]
["Afghanistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AFG - ILO - ILO modelled estimates","Decile: Decile 10",2017,62.773231510000002,"Imputation",0.62773231510000005,{"$f":"H15*((0.1+(2*0)))","v":6.2773231510000013E-2},{"$f":"1-(I6+I7+I8+I9+I10+I11+I12+I13+I14+I15)","v":0.72093571823500002},null,null,"ASEAN",0.58676661216299997]
["Angola","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AGO - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.66980087799999999,"Imputation",{"$f":"F16/100","v":6.6980087799999996E-3},{"$f":"H16*((0.1+(2*0.9)))","v":1.2726216682E-2},null,null,null,"Asia and the Pacific",0.65243750944200007]
["Angola","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AGO - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.4279469250000001,"Imputation",{"$f":"F17/100","v":1.4279469250000001E-2},{"$f":"H17*((0.1+(2*0.8)))","v":2.4275097725000003E-2},null,null,null,"Australia",0.4268417179209999]
["Angola","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AGO - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.180515051,"Imputation",2.1805150509999999E-2,{"$f":"H18*((0.1+(2*0.7)))","v":3.2707725765000001E-2},null,null,null,"Austria",0.40751145079400009]
["Angola","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AGO - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.9994220729999999,"Imputation",2.999422073E-2,{"$f":"H19*((0.1+(2*0.6)))","v":3.8992486949000003E-2},null,null,null,"Azerbaijan",0.4743207836379999]
["Angola","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AGO - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.0015244479999996,"Imputation",4.0015244479999997E-2,{"$f":"H20*((0.1+(2*0.5)))","v":4.4016768928000001E-2},null,null,null,"Bahamas, The",0.41815562224100011]
["Angola","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AGO - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.2670273779999999,"Imputation",5.2670273779999999E-2,{"$f":"H21*((0.1+(2*0.4)))","v":4.7403246401999999E-2},null,null,null,"Bahrain",0.43677028750699998]
["Angola","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AGO - ILO - ILO modelled estimates","Decile: Decile 7",2017,6.6652522090000001,"Imputation",6.6652522089999999E-2,{"$f":"H22*((0.1+(2*0.3)))","v":4.6656765462999995E-2},null,null,null,"Bangladesh",0.37919845627900006]
["Angola","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AGO - ILO - ILO modelled estimates","Decile: Decile 8",2017,9.1167230610000001,"Imputation",9.1167230609999997E-2,{"$f":"H23*((0.1+(2*0.2)))","v":4.5583615304999998E-2},null,null,null,"Barbados",0.42839251969899994]
["Angola","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AGO - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.70622444,"Imputation",0.14706224439999999,{"$f":"H24*((0.1+(2*0.1)))","v":4.4118673320000003E-2},null,null,null,"Belarus",0.34127046301800001]
["Angola","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AGO - ILO - ILO modelled estimates","Decile: Decile 10",2017,52.965564729999997,"Imputation",0.52965564729999992,{"$f":"H25*((0.1+(2*0)))","v":5.2965564729999998E-2},{"$f":"1-(I16+I17+I18+I19+I20+I21+I22+I23+I24+I25)","v":0.610553838731},null,null,"Belgium",0.28163452146000001]
["Albania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ALB - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.8610789780000001,"Imputation",{"$f":"F26/100","v":1.8610789780000001E-2},{"$f":"H26*((0.1+(2*0.9)))","v":3.5360500582000007E-2},null,null,null,"Belize",0.46695424693999987]
["Albania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ALB - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.4405889510000001,"Imputation",{"$f":"F27/100","v":3.4405889510000003E-2},{"$f":"H27*((0.1+(2*0.8)))","v":5.8490012167000012E-2},null,null,null,"Benin",0.72502972403499999]
["Albania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ALB - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.3770408630000004,"Imputation",4.3770408630000007E-2,{"$f":"H28*((0.1+(2*0.7)))","v":6.5655612945000011E-2},null,null,null,"Bhutan",0.57700508067700007]
["Albania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ALB - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.2693367000000002,"Imputation",5.2693367000000005E-2,{"$f":"H29*((0.1+(2*0.6)))","v":6.850137710000001E-2},null,null,null,"Bolivia",0.44402502309000047]
["Albania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ALB - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.2811241149999999,"Imputation",6.2811241150000002E-2,{"$f":"H30*((0.1+(2*0.5)))","v":6.9092365265000011E-2},null,null,null,"Bosnia and Herzegovina",0.36236786128999998]
["Albania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ALB - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.3128819470000002,"Imputation",7.3128819469999995E-2,{"$f":"H31*((0.1+(2*0.4)))","v":6.5815937522999995E-2},null,null,null,"Botswana",0.48637929559699999]
["Albania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ALB - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.5550937650000005,"Imputation",8.5550937650000006E-2,{"$f":"H32*((0.1+(2*0.3)))","v":5.9885656354999997E-2},null,null,null,"Brazil",0.49744231797299998]
["Albania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ALB - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.41157722,"Imputation",0.1041157722,{"$f":"H33*((0.1+(2*0.2)))","v":5.2057886099999999E-2},null,null,null,"BRICS",0.62753119047700001]
["Albania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ALB - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.03627586,"Imputation",0.1403627586,{"$f":"H34*((0.1+(2*0.1)))","v":4.2108827580000008E-2},null,null,null,"Brunei Darussalam",0.48591803504599995]
["Albania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ALB - ILO - ILO modelled estimates","Decile: Decile 10",2017,38.454998019999998,"Imputation",0.38454998019999997,{"$f":"H35*((0.1+(2*0)))","v":3.8454998019999999E-2},{"$f":"1-(I26+I27+I28+I29+I30+I31+I32+I33+I34+I35)","v":0.44457682636300011},null,null,"Bulgaria",0.34270539473999995]
["United Arab Emirates","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARE - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.2800407410000001,"Imputation",{"$f":"F36/100","v":1.2800407410000001E-2},{"$f":"H36*((0.1+(2*0.9)))","v":2.4320774079000004E-2},null,null,null,"Burkina Faso",0.72466399269699999]
["United Arab Emirates","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARE - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.8992779249999998,"Imputation",{"$f":"F37/100","v":2.899277925E-2},{"$f":"H37*((0.1+(2*0.8)))","v":4.9287724725000003E-2},null,null,null,"Burundi",0.75508382427300003]
["United Arab Emirates","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARE - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.3486342430000002,"Imputation",4.3486342430000005E-2,{"$f":"H38*((0.1+(2*0.7)))","v":6.5229513645000015E-2},null,null,null,"Cabo Verde",0.50130292752100003]
["United Arab Emirates","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARE - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.6464686390000001,"Imputation",5.6464686389999998E-2,{"$f":"H39*((0.1+(2*0.6)))","v":7.3404092306999999E-2},null,null,null,"Cambodia",0.52631493256899997]
["United Arab Emirates","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARE - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.7475385670000003,"Imputation",6.7475385669999999E-2,{"$f":"H40*((0.1+(2*0.5)))","v":7.4222924236999999E-2},null,null,null,"Cameroon",0.69590422804999996]
["United Arab Emirates","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARE - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.2192468640000005,"Imputation",8.2192468640000002E-2,{"$f":"H41*((0.1+(2*0.4)))","v":7.3973221776000006E-2},null,null,null,"Canada",0.34204087806999994]
["United Arab Emirates","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARE - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.4870262150000002,"Imputation",9.4870262149999995E-2,{"$f":"H42*((0.1+(2*0.3)))","v":6.6409183504999997E-2},null,null,null,"Caribbean",0.59453396091999999]
["United Arab Emirates","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARE - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.968778609999999,"Imputation",0.1196877861,{"$f":"H43*((0.1+(2*0.2)))","v":5.9843893049999999E-2},null,null,null,"Central Africa",0.76402331004099999]
["United Arab Emirates","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARE - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.479993820000001,"Imputation",0.1647999382,{"$f":"H44*((0.1+(2*0.1)))","v":4.9439981460000004E-2},null,null,null,"Central African Republic",0.816858639868]
["United Arab Emirates","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARE - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.923000340000002,"Imputation",0.32923000340000003,{"$f":"H45*((0.1+(2*0)))","v":3.2923000340000001E-2},{"$f":"1-(I36+I37+I38+I39+I40+I41+I42+I43+I44+I45)","v":0.43094569087599999},null,null,"Central America",0.44850702329499992]
["Argentina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARG - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.433730245,null,{"$f":"F46/100","v":1.433730245E-2},{"$f":"H46*((0.1+(2*0.9)))","v":2.7240874655000004E-2},null,null,null,"Central and Western Asia",0.51479010821100002]
["Argentina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARG - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.0580272669999999,null,{"$f":"F47/100","v":3.0580272669999999E-2},{"$f":"H47*((0.1+(2*0.8)))","v":5.1986463539000001E-2},null,null,null,"Central Asia",0.51865265139700001]
["Argentina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARG - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.500150681,null,4.5001506810000001E-2,{"$f":"H48*((0.1+(2*0.7)))","v":6.7502260214999998E-2},null,null,null,"Chad",0.79482507313600004]
["Argentina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARG - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.8940820690000004,null,5.8940820690000006E-2,{"$f":"H49*((0.1+(2*0.6)))","v":7.6623066897000006E-2},null,null,null,"Channel Islands",0.34214012837800001]
["Argentina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARG - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.2764716150000002,null,7.2764716150000006E-2,{"$f":"H50*((0.1+(2*0.5)))","v":8.0041187765000008E-2},null,null,null,"Chile",0.48355333863299998]
["Argentina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARG - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.8392448429999995,null,8.8392448429999992E-2,{"$f":"H51*((0.1+(2*0.4)))","v":7.9553203586999993E-2},null,null,null,"China",0.57041278313799992]
["Argentina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARG - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.59735203,null,0.1059735203,{"$f":"H52*((0.1+(2*0.3)))","v":7.4181464209999992E-2},null,null,null,"Colombia",0.46121514248499995]
["Argentina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARG - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.9007597,null,0.129007597,{"$f":"H53*((0.1+(2*0.2)))","v":6.4503798500000001E-2},null,null,null,"Comoros",0.62568433883499996]
["Argentina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARG - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.371959690000001,null,0.16371959690000001,{"$f":"H54*((0.1+(2*0.1)))","v":4.9115879070000014E-2},null,null,null,"Congo, Dem. Rep.",0.77044729615999996]
["Argentina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARG - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.128221509999999,null,0.29128221510000002,{"$f":"H55*((0.1+(2*0)))","v":2.9128221510000003E-2},{"$f":"1-(I46+I47+I48+I49+I50+I51+I52+I53+I54+I55)","v":0.40012358005199988},null,null,"Congo, Rep.",0.64408995343999997]
["Armenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARM - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.160086036,null,{"$f":"F56/100","v":1.160086036E-2},{"$f":"H56*((0.1+(2*0.9)))","v":2.2041634684E-2},null,null,null,"Costa Rica",0.48565842856499997]
["Armenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARM - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.6889078620000002,null,{"$f":"F57/100","v":2.6889078620000003E-2},{"$f":"H57*((0.1+(2*0.8)))","v":4.571143365400001E-2},null,null,null,"Cote d'Ivoire",0.75401635379199994]
["Armenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARM - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.7358121870000001,null,3.7358121870000004E-2,{"$f":"H58*((0.1+(2*0.7)))","v":5.6037182805000002E-2},null,null,null,"Croatia",0.32405505848299998]
["Armenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARM - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.2482585909999999,null,5.2482585909999997E-2,{"$f":"H59*((0.1+(2*0.6)))","v":6.8227361683000004E-2},null,null,null,"Cuba",0.41961177719199982]
["Armenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARM - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.0902361870000004,null,7.090236187E-2,{"$f":"H60*((0.1+(2*0.5)))","v":7.7992598057000012E-2},null,null,null,"Cyprus",0.39191130661200002]
["Armenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARM - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.8932132720000006,null,8.8932132720000001E-2,{"$f":"H61*((0.1+(2*0.4)))","v":8.0038919447999998E-2},null,null,null,"Czech Republic",0.28914499787199999]
["Armenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARM - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.515095710000001,null,0.10515095710000001,{"$f":"H62*((0.1+(2*0.3)))","v":7.3605669970000009E-2},null,null,null,"Denmark",0.30720102147200001]
["Armenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARM - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.233417510000001,null,0.12233417510000001,{"$f":"H63*((0.1+(2*0.2)))","v":6.1167087550000006E-2},null,null,null,"Djibouti",0.55194676618299998]
["Armenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARM - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.542400359999998,null,0.17542400359999999,{"$f":"H64*((0.1+(2*0.1)))","v":5.2627201080000005E-2},null,null,null,"Dominican Republic",0.4334474793630001]
["Armenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ARM - ILO - ILO modelled estimates","Decile: Decile 10",2017,30.892580030000001,null,0.3089258003,{"$f":"H65*((0.1+(2*0)))","v":3.0892580030000002E-2},{"$f":"1-(I56+I57+I58+I59+I60+I61+I62+I63+I64+I65)","v":0.43165833103899998},null,null,"Eastern Africa",0.717207549384]
["Australia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUS - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.1004168990000001,"Imputation",{"$f":"F66/100","v":1.100416899E-2},{"$f":"H66*((0.1+(2*0.9)))","v":2.0907921081000001E-2},null,null,null,"Eastern Asia",0.58891430028900005]
["Australia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUS - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.5072073939999999,"Imputation",{"$f":"F67/100","v":2.5072073939999998E-2},{"$f":"H67*((0.1+(2*0.8)))","v":4.2622525697999999E-2},null,null,null,"Eastern Europe",0.37837684751099987]
["Australia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUS - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.9001512530000002,"Imputation",3.9001512530000004E-2,{"$f":"H68*((0.1+(2*0.7)))","v":5.8502268795000006E-2},null,null,null,"Ecuador",0.49704920584199996]
["Australia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUS - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.3527917860000001,"Imputation",5.3527917860000003E-2,{"$f":"H69*((0.1+(2*0.6)))","v":6.9586293218E-2},null,null,null,"Egypt, Arab Rep.",0.42678522049300005]
["Australia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUS - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.7828445430000004,"Imputation",6.7828445430000009E-2,{"$f":"H70*((0.1+(2*0.5)))","v":7.4611289973000011E-2},null,null,null,"El Salvador",0.3875526197489999]
["Australia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUS - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.6786222459999998,"Imputation",8.6786222459999993E-2,{"$f":"H71*((0.1+(2*0.4)))","v":7.8107600213999998E-2},null,null,null,"Equatorial Guinea",0.55769821233799988]
["Australia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUS - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.86983395,"Imputation",0.1086983395,{"$f":"H72*((0.1+(2*0.3)))","v":7.6088837650000005E-2},null,null,null,"Eritrea",0.66865615732299999]
["Australia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUS - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.88864422,"Imputation",0.13888644219999999,{"$f":"H73*((0.1+(2*0.2)))","v":6.9443221099999994E-2},null,null,null,"Estonia",0.41065271375900003]
["Australia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUS - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.184411999999998,"Imputation",0.18184411999999997,{"$f":"H74*((0.1+(2*0.1)))","v":5.4553235999999998E-2},null,null,null,"Eswatini",0.50944871860800001]
["Australia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUS - ILO - ILO modelled estimates","Decile: Decile 10",2017,28.735088350000002,"Imputation",0.28735088350000004,{"$f":"H75*((0.1+(2*0)))","v":2.8735088350000007E-2},{"$f":"1-(I66+I67+I68+I69+I70+I71+I72+I73+I74+I75)","v":0.4268417179209999},null,null,"Ethiopia",0.70982048735100001]
["Austria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUT - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.595918417,"Model-based extrapolation",{"$f":"F76/100","v":1.5959184170000001E-2},{"$f":"H76*((0.1+(2*0.9)))","v":3.0322449923000004E-2},null,null,null,"Europe and Central Asia",0.45305785885700001]
["Austria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUT - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.325718164,"Model-based extrapolation",{"$f":"F77/100","v":3.3257181640000001E-2},{"$f":"H77*((0.1+(2*0.8)))","v":5.6537208788000011E-2},null,null,null,"European Union 28",0.39129539918800005]
["Austria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUT - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.7663264270000001,"Model-based extrapolation",4.7663264269999998E-2,{"$f":"H78*((0.1+(2*0.7)))","v":7.1494896404999994E-2},null,null,null,"Fiji",0.45266890437499996]
["Austria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUT - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.0146312709999998,"Model-based extrapolation",6.0146312709999997E-2,{"$f":"H79*((0.1+(2*0.6)))","v":7.8190206523000003E-2},null,null,null,"Finland",0.284184432973]
["Austria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUT - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.1127090449999999,"Model-based extrapolation",7.112709045E-2,{"$f":"H80*((0.1+(2*0.5)))","v":7.8239799495000012E-2},null,null,null,"France",0.32717334603799997]
["Austria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUT - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.2948246000000001,"Model-based extrapolation",8.2948246000000003E-2,{"$f":"H81*((0.1+(2*0.4)))","v":7.4653421400000003E-2},null,null,null,"French Polynesia",0.42422885773099994]
["Austria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUT - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.6931934359999996,"Model-based extrapolation",9.6931934359999999E-2,{"$f":"H82*((0.1+(2*0.3)))","v":6.7852354051999991E-2},null,null,null,"Gabon",0.4956294031209999]
["Austria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUT - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.564859390000001,"Model-based extrapolation",0.1156485939,{"$f":"H83*((0.1+(2*0.2)))","v":5.782429695E-2},null,null,null,"Gambia, The",0.63836406425499992]
["Austria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUT - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.87105274,"Model-based extrapolation",0.14871052739999999,{"$f":"H84*((0.1+(2*0.1)))","v":4.4613158220000004E-2},null,null,null,"Georgia",0.432375180395]
["Austria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AUT - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.76075745,"Model-based extrapolation",0.3276075745,{"$f":"H85*((0.1+(2*0)))","v":3.2760757450000004E-2},{"$f":"1-(I76+I77+I78+I79+I80+I81+I82+I83+I84+I85)","v":0.40751145079400009},null,null,"Germany",0.387561319618]
["Azerbaijan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AZE - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.8123683930000001,"Imputation",{"$f":"F86/100","v":1.8123683930000002E-2},{"$f":"H86*((0.1+(2*0.9)))","v":3.4434999467000009E-2},null,null,null,"Ghana",0.68029966186099999]
["Azerbaijan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AZE - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.283278465,"Imputation",{"$f":"F87/100","v":3.2832784650000002E-2},{"$f":"H87*((0.1+(2*0.8)))","v":5.5815733905000012E-2},null,null,null,"Greece",0.33184412906800009]
["Azerbaijan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AZE - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.1137104029999998,"Imputation",4.1137104029999996E-2,{"$f":"H88*((0.1+(2*0.7)))","v":6.1705656044999994E-2},null,null,null,"Guam",0.42359874668699993]
["Azerbaijan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AZE - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.9122405049999998,"Imputation",4.9122405049999998E-2,{"$f":"H89*((0.1+(2*0.6)))","v":6.3859126564999993E-2},null,null,null,"Guatemala",0.48645070783599986]
["Azerbaijan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AZE - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.815520287,"Imputation",5.8155202869999999E-2,{"$f":"H90*((0.1+(2*0.5)))","v":6.3970723157000003E-2},null,null,null,"Guinea",0.77142486062500004]
["Azerbaijan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AZE - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.8324203490000004,"Imputation",6.8324203489999999E-2,{"$f":"H91*((0.1+(2*0.4)))","v":6.1491783140999998E-2},null,null,null,"Guinea-Bissau",0.67128014205300002]
["Azerbaijan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AZE - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.7670216559999998,"Imputation",7.7670216560000005E-2,{"$f":"H92*((0.1+(2*0.3)))","v":5.4369151592000002E-2},null,null,null,"Guyana",0.39703519951699995]
["Azerbaijan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AZE - ILO - ILO modelled estimates","Decile: Decile 8",2017,9.5726490020000004,"Imputation",9.5726490019999999E-2,{"$f":"H93*((0.1+(2*0.2)))","v":4.786324501E-2},null,null,null,"Haiti",0.67769701779699998]
["Azerbaijan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AZE - ILO - ILO modelled estimates","Decile: Decile 9",2017,13.139006609999999,"Imputation",0.13139006609999998,{"$f":"H94*((0.1+(2*0.1)))","v":3.9417019829999997E-2},null,null,null,"Honduras",0.47973655134599991]
["Azerbaijan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","AZE - ILO - ILO modelled estimates","Decile: Decile 10",2017,42.751777650000001,"Imputation",0.4275177765,{"$f":"H95*((0.1+(2*0)))","v":4.2751777650000003E-2},{"$f":"1-(I86+I87+I88+I89+I90+I91+I92+I93+I94+I95)","v":0.4743207836379999},null,null,"Hungary",0.30682180377800006]
["Burundi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BDI - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.23856538499999999,"Model-based extrapolation",{"$f":"F96/100","v":2.3856538499999998E-3},{"$f":"H96*((0.1+(2*0.9)))","v":4.5327423150000002E-3},null,null,null,"Iceland",0.34435774730300006]
["Burundi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BDI - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.65696436199999997,"Model-based extrapolation",{"$f":"F97/100","v":6.5696436199999993E-3},{"$f":"H97*((0.1+(2*0.8)))","v":1.1168394154E-2},null,null,null,"India",0.74352101215300004]
["Burundi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BDI - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.066871047,"Model-based extrapolation",1.066871047E-2,{"$f":"H98*((0.1+(2*0.7)))","v":1.6003065705E-2},null,null,null,"Indonesia",0.56887528274099997]
["Burundi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BDI - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.4725807909999999,"Model-based extrapolation",1.4725807909999999E-2,{"$f":"H99*((0.1+(2*0.6)))","v":1.9143550283000001E-2},null,null,null,"Iran, Islamic Republic of",0.48728811285699991]
["Burundi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BDI - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.9140059949999999,"Model-based extrapolation",1.914005995E-2,{"$f":"H100*((0.1+(2*0.5)))","v":2.1054065945000002E-2},null,null,null,"Iraq",0.48869716430199994]
["Burundi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BDI - ILO - ILO modelled estimates","Decile: Decile 6",2017,2.4970490930000002,"Model-based extrapolation",2.4970490930000002E-2,{"$f":"H101*((0.1+(2*0.4)))","v":2.2473441837000001E-2},null,null,null,"Ireland",0.33985643030699997]
["Burundi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BDI - ILO - ILO modelled estimates","Decile: Decile 7",2017,3.2887082099999998,"Model-based extrapolation",3.2887082099999999E-2,{"$f":"H102*((0.1+(2*0.3)))","v":2.3020957469999999E-2},null,null,null,"Israel",0.34307234357399996]
["Burundi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BDI - ILO - ILO modelled estimates","Decile: Decile 8",2017,4.8178191180000001,"Model-based extrapolation",4.8178191180000003E-2,{"$f":"H103*((0.1+(2*0.2)))","v":2.4089095590000002E-2},null,null,null,"Italy",0.35991892048700003]
["Burundi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BDI - ILO - ILO modelled estimates","Decile: Decile 9",2017,9.6917114259999995,"Model-based extrapolation",9.6917114259999992E-2,{"$f":"H104*((0.1+(2*0.1)))","v":2.9075134278E-2},null,null,null,"Jamaica",0.47628745367000003]
["Burundi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BDI - ILO - ILO modelled estimates","Decile: Decile 10",2017,74.355728150000004,"Model-based extrapolation",0.7435572815,{"$f":"H105*((0.1+(2*0)))","v":7.4355728150000008E-2},{"$f":"1-(I96+I97+I98+I99+I100+I101+I102+I103+I104+I105)","v":0.75508382427300003},null,null,"Japan",0.42028580596299991]
["Belgium","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEL - ILO - ILO modelled estimates","Decile: Decile 1",2017,3.3130841260000001,"Model-based extrapolation",{"$f":"F106/100","v":3.3130841260000002E-2},{"$f":"H106*((0.1+(2*0.9)))","v":6.2948598394000008E-2},null,null,null,"Jordan",0.47392044166399994]
["Belgium","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEL - ILO - ILO modelled estimates","Decile: Decile 2",2017,5.4072122570000003,"Model-based extrapolation",{"$f":"F107/100","v":5.4072122570000006E-2},{"$f":"H107*((0.1+(2*0.8)))","v":9.1922608369000014E-2},null,null,null,"Kazakhstan",0.36982747770199997]
["Belgium","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEL - ILO - ILO modelled estimates","Decile: Decile 3",2017,6.5522251130000004,"Model-based extrapolation",6.552225113E-2,{"$f":"H108*((0.1+(2*0.7)))","v":9.8283376695000008E-2},null,null,null,"Kenya",0.58666716698599997]
["Belgium","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEL - ILO - ILO modelled estimates","Decile: Decile 4",2017,7.4195675850000002,"Model-based extrapolation",7.4195675850000004E-2,{"$f":"H109*((0.1+(2*0.6)))","v":9.6454378605000002E-2},null,null,null,"Korea, Democratic People's Republic of",0.58382138062599997]
["Belgium","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEL - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.2599277499999992,"Model-based extrapolation",8.2599277499999998E-2,{"$f":"H110*((0.1+(2*0.5)))","v":9.0859205250000005E-2},null,null,null,"Korea, Rep.",0.44257153642400004]
["Belgium","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEL - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.1445217129999996,"Model-based extrapolation",9.1445217129999992E-2,{"$f":"H111*((0.1+(2*0.4)))","v":8.2300695416999997E-2},null,null,null,"Kuwait",0.42779128621599993]
["Belgium","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEL - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.158378600000001,"Model-based extrapolation",0.10158378600000001,{"$f":"H112*((0.1+(2*0.3)))","v":7.1108650199999998E-2},null,null,null,"Kyrgyz Republic",0.41099234292800002]
["Belgium","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEL - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.594086649999999,"Model-based extrapolation",0.11594086649999999,{"$f":"H113*((0.1+(2*0.2)))","v":5.7970433249999995E-2},null,null,null,"Lao PDR",0.62711134921799994]
["Belgium","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEL - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.183265690000001,"Model-based extrapolation",0.14183265690000002,{"$f":"H114*((0.1+(2*0.1)))","v":4.2549797070000013E-2},null,null,null,"Latin America and the Caribbean",0.49510405762900001]
["Belgium","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEL - ILO - ILO modelled estimates","Decile: Decile 10",2017,23.96773529,"Model-based extrapolation",0.2396773529,{"$f":"H115*((0.1+(2*0)))","v":2.396773529E-2},{"$f":"1-(I106+I107+I108+I109+I110+I111+I112+I113+I114+I115)","v":0.28163452146000001},null,null,"Latvia",0.38823036648099984]
["Benin","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEN - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.26656717099999999,"Model-based extrapolation",{"$f":"F116/100","v":2.6656717099999999E-3},{"$f":"H116*((0.1+(2*0.9)))","v":5.0647762490000003E-3},null,null,null,"Lebanon",0.50271958161399999]
["Benin","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEN - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.70493602799999999,"Model-based extrapolation",{"$f":"F117/100","v":7.0493602799999999E-3},{"$f":"H117*((0.1+(2*0.8)))","v":1.1983912476000001E-2},null,null,null,"Lesotho",0.56968552917899995]
["Benin","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEN - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.2900340560000001,"Model-based extrapolation",1.2900340560000001E-2,{"$f":"H118*((0.1+(2*0.7)))","v":1.9350510840000001E-2},null,null,null,"Liberia",0.82486232390199998]
["Benin","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEN - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.841964245,"Model-based extrapolation",1.8419642449999999E-2,{"$f":"H119*((0.1+(2*0.6)))","v":2.3945535184999998E-2},null,null,null,"Libya",0.4506673919869999]
["Benin","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEN - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.4700217250000001,"Model-based extrapolation",2.470021725E-2,{"$f":"H120*((0.1+(2*0.5)))","v":2.7170238975000004E-2},null,null,null,"Lithuania",0.38876067463199993]
["Benin","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEN - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.192705154,"Model-based extrapolation",3.1927051540000001E-2,{"$f":"H121*((0.1+(2*0.4)))","v":2.8734346386E-2},null,null,null,"Luxembourg",0.35079377797799982]
["Benin","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEN - ILO - ILO modelled estimates","Decile: Decile 7",2017,4.1108407969999998,"Model-based extrapolation",4.1108407969999997E-2,{"$f":"H122*((0.1+(2*0.3)))","v":2.8775885578999995E-2},null,null,null,"Macau, China",0.40146395767200005]
["Benin","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEN - ILO - ILO modelled estimates","Decile: Decile 8",2017,5.6360483170000002,"Model-based extrapolation",5.6360483170000003E-2,{"$f":"H123*((0.1+(2*0.2)))","v":2.8180241585000002E-2},null,null,null,"Madagascar",0.72412523419300001]
["Benin","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEN - ILO - ILO modelled estimates","Decile: Decile 9",2017,10.638976100000001,"Model-based extrapolation",0.10638976100000001,{"$f":"H124*((0.1+(2*0.1)))","v":3.1916928300000008E-2},null,null,null,"Malawi",0.62722559417599999]
["Benin","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BEN - ILO - ILO modelled estimates","Decile: Decile 10",2017,69.847900390000007,"Model-based extrapolation",0.69847900390000006,{"$f":"H125*((0.1+(2*0)))","v":6.9847900390000009E-2},{"$f":"1-(I116+I117+I118+I119+I120+I121+I122+I123+I124+I125)","v":0.72502972403499999},null,null,"Malaysia",0.44685762009500007]
["Burkina Faso","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BFA - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.310220838,"Imputation",{"$f":"F126/100","v":3.1022083800000002E-3},{"$f":"H126*((0.1+(2*0.9)))","v":5.8941959220000012E-3},null,null,null,"Maldives",0.41365667066599998]
["Burkina Faso","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BFA - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.54168736900000003,"Imputation",{"$f":"F127/100","v":5.4168736900000007E-3},{"$f":"H127*((0.1+(2*0.8)))","v":9.2086852730000023E-3},null,null,null,"Mali",0.59908123342800002]
["Burkina Faso","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BFA - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.85228961700000005,"Imputation",8.5228961700000005E-3,{"$f":"H128*((0.1+(2*0.7)))","v":1.2784344255E-2},null,null,null,"Malta",0.30622571874900006]
["Burkina Faso","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BFA - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.3576918840000001,"Imputation",1.357691884E-2,{"$f":"H129*((0.1+(2*0.6)))","v":1.7649994492000002E-2},null,null,null,"Mauritania",0.56558684259399994]
["Burkina Faso","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BFA - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.2491345410000001,"Imputation",2.2491345410000002E-2,{"$f":"H130*((0.1+(2*0.5)))","v":2.4740479951000004E-2},null,null,null,"Mauritius",0.47040028348100005]
["Burkina Faso","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BFA - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.391844511,"Imputation",3.3918445110000001E-2,{"$f":"H131*((0.1+(2*0.4)))","v":3.0526600599E-2},null,null,null,"Mexico",0.41185957869199996]
["Burkina Faso","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BFA - ILO - ILO modelled estimates","Decile: Decile 7",2017,4.7084531780000001,"Imputation",4.7084531780000001E-2,{"$f":"H132*((0.1+(2*0.3)))","v":3.2959172246E-2},null,null,null,"Moldova",0.40598585571000001]
["Burkina Faso","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BFA - ILO - ILO modelled estimates","Decile: Decile 8",2017,7.1133661269999999,"Imputation",7.1133661269999995E-2,{"$f":"H133*((0.1+(2*0.2)))","v":3.5566830634999998E-2},null,null,null,"Mongolia",0.50574534811599992]
["Burkina Faso","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BFA - ILO - ILO modelled estimates","Decile: Decile 9",2017,13.265204430000001,"Imputation",0.13265204429999999,{"$f":"H134*((0.1+(2*0.1)))","v":3.9795613290000004E-2},null,null,null,"Montenegro",0.3669222986670001]
["Burkina Faso","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BFA - ILO - ILO modelled estimates","Decile: Decile 10",2017,66.210090640000004,"Imputation",0.66210090640000008,{"$f":"H135*((0.1+(2*0)))","v":6.6210090640000011E-2},{"$f":"1-(I126+I127+I128+I129+I130+I131+I132+I133+I134+I135)","v":0.72466399269699999},null,null,"Morocco",0.54443119592299993]
["Bangladesh","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGD - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.3843383789999999,null,{"$f":"F136/100","v":2.3843383789999999E-2},{"$f":"H136*((0.1+(2*0.9)))","v":4.5302429201E-2},null,null,null,"Mozambique",0.71745987689400004]
["Bangladesh","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGD - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.7771277429999999,null,{"$f":"F137/100","v":3.777127743E-2},{"$f":"H137*((0.1+(2*0.8)))","v":6.4211171631E-2},null,null,null,"Myanmar",0.3746920457170001]
["Bangladesh","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGD - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.9105238910000004,null,4.9105238910000001E-2,{"$f":"H138*((0.1+(2*0.7)))","v":7.3657858364999995E-2},null,null,null,"Namibia",0.67433652155500001]
["Bangladesh","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGD - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.0043716429999998,null,6.0043716429999998E-2,{"$f":"H139*((0.1+(2*0.6)))","v":7.8056831359000003E-2},null,null,null,"Nepal",0.64787616084699995]
["Bangladesh","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGD - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.2584958080000002,null,7.2584958079999998E-2,{"$f":"H140*((0.1+(2*0.5)))","v":7.9843453888000002E-2},null,null,null,"Netherlands",0.37391256048300003]
["Bangladesh","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGD - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.4532318120000003,null,8.4532318120000005E-2,{"$f":"H141*((0.1+(2*0.4)))","v":7.6079086308000005E-2},null,null,null,"New Caledonia",0.42633531838899996]
["Bangladesh","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGD - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.889702797,null,9.8897027969999995E-2,{"$f":"H142*((0.1+(2*0.3)))","v":6.9227919578999986E-2},null,null,null,"New Zealand",0.43224815357099988]
["Bangladesh","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGD - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.70473194,null,0.1170473194,{"$f":"H143*((0.1+(2*0.2)))","v":5.8523659700000001E-2},null,null,null,"Nicaragua",0.62060991245399999]
["Bangladesh","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGD - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.14082909,null,0.15140829089999999,{"$f":"H144*((0.1+(2*0.1)))","v":4.5422487270000006E-2},null,null,null,"Niger",0.84963114999]
["Bangladesh","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGD - ILO - ILO modelled estimates","Decile: Decile 10",2017,30.476646420000002,null,0.30476646420000003,{"$f":"H145*((0.1+(2*0)))","v":3.0476646420000003E-2},{"$f":"1-(I136+I137+I138+I139+I140+I141+I142+I143+I144+I145)","v":0.37919845627900006},null,null,"Nigeria",0.65328700843600007]
["Bulgaria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGR - ILO - ILO modelled estimates","Decile: Decile 1",2017,3.2540564540000001,"Model-based extrapolation",{"$f":"F146/100","v":3.2540564540000004E-2},{"$f":"H146*((0.1+(2*0.9)))","v":6.1827072626000013E-2},null,null,null,"North Macedonia",0.37231188748400001]
["Bulgaria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGR - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.8235454559999997,"Model-based extrapolation",{"$f":"F147/100","v":4.8235454559999995E-2},{"$f":"H147*((0.1+(2*0.8)))","v":8.2000272752000003E-2},null,null,null,"Northern Africa",0.515494181637]
["Bulgaria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGR - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.6712331770000004,"Model-based extrapolation",5.6712331770000006E-2,{"$f":"H148*((0.1+(2*0.7)))","v":8.5068497655000005E-2},null,null,null,"Northern America",0.422338491531]
["Bulgaria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGR - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.4385809900000002,"Model-based extrapolation",6.4385809900000007E-2,{"$f":"H149*((0.1+(2*0.6)))","v":8.3701552870000015E-2},null,null,null,"Northern Europe",0.39938791913299998]
["Bulgaria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGR - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.2543640140000001,"Model-based extrapolation",7.2543640140000004E-2,{"$f":"H150*((0.1+(2*0.5)))","v":7.9798004154000013E-2},null,null,null,"Northern, Southern and Western Europe",0.38887705541899997]
["Bulgaria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGR - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.2228927610000007,"Model-based extrapolation",8.2228927610000002E-2,{"$f":"H151*((0.1+(2*0.4)))","v":7.4006034849000008E-2},null,null,null,"Norway",0.31643134334499989]
["Bulgaria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGR - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.3199262619999992,"Model-based extrapolation",9.3199262619999987E-2,{"$f":"H152*((0.1+(2*0.3)))","v":6.5239483833999981E-2},null,null,null,"Oman",0.43886317447200007]
["Bulgaria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGR - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.83693504,"Model-based extrapolation",0.10836935040000001,{"$f":"H153*((0.1+(2*0.2)))","v":5.4184675200000004E-2},null,null,null,"Pacific Islands",0.50977464212399992]
["Bulgaria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGR - ILO - ILO modelled estimates","Decile: Decile 9",2017,13.645275120000001,"Model-based extrapolation",0.1364527512,{"$f":"H154*((0.1+(2*0.1)))","v":4.0935825360000004E-2},null,null,null,"Pakistan",0.574091827715]
["Bulgaria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BGR - ILO - ILO modelled estimates","Decile: Decile 10",2017,30.533185960000001,"Model-based extrapolation",0.30533185960000003,{"$f":"H155*((0.1+(2*0)))","v":3.0533185960000004E-2},{"$f":"1-(I146+I147+I148+I149+I150+I151+I152+I153+I154+I155)","v":0.34270539473999995},null,null,"Panama",0.50418783141400003]
["Bahrain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHR - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.2283992770000001,"Imputation",{"$f":"F156/100","v":1.228399277E-2},{"$f":"H156*((0.1+(2*0.9)))","v":2.3339586263000003E-2},null,null,null,"Papua New Guinea",0.63042161229600002]
["Bahrain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHR - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.8004341130000001,"Imputation",{"$f":"F157/100","v":2.8004341130000002E-2},{"$f":"H157*((0.1+(2*0.8)))","v":4.7607379921000011E-2},null,null,null,"Paraguay",0.47592768957999998]
["Bahrain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHR - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.2226300239999999,"Imputation",4.222630024E-2,{"$f":"H158*((0.1+(2*0.7)))","v":6.3339450359999994E-2},null,null,null,"Peru",0.54852986374400015]
["Bahrain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHR - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.5160288810000004,"Imputation",5.5160288810000006E-2,{"$f":"H159*((0.1+(2*0.6)))","v":7.1708375453000017E-2},null,null,null,"Philippines",0.48581993813500002]
["Bahrain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHR - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.6659412380000003,"Imputation",6.6659412380000005E-2,{"$f":"H160*((0.1+(2*0.5)))","v":7.3325353618000008E-2},null,null,null,"Poland",0.33576494456999995]
["Bahrain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHR - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.1215915679999995,"Imputation",8.121591568E-2,{"$f":"H161*((0.1+(2*0.4)))","v":7.3094324112000009E-2},null,null,null,"Portugal",0.37895633318199995]
["Bahrain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHR - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.5773925779999995,"Imputation",9.5773925779999991E-2,{"$f":"H162*((0.1+(2*0.3)))","v":6.7041748045999994E-2},null,null,null,"Puerto Rico",0.41971068903199993]
["Bahrain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHR - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.089607239999999,"Imputation",0.1208960724,{"$f":"H163*((0.1+(2*0.2)))","v":6.0448036199999999E-2},null,null,null,"Qatar",0.41927962802499996]
["Bahrain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHR - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.773738860000002,"Imputation",0.16773738860000001,{"$f":"H164*((0.1+(2*0.1)))","v":5.0321216580000008E-2},null,null,null,"Romania",0.28072614021800002]
["Bahrain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHR - ILO - ILO modelled estimates","Decile: Decile 10",2017,33.00424194,"Imputation",0.33004241940000001,{"$f":"H165*((0.1+(2*0)))","v":3.3004241940000005E-2},{"$f":"1-(I156+I157+I158+I159+I160+I161+I162+I163+I164+I165)","v":0.43677028750699998},null,null,"Russian Federation",0.3395589492640001]
["Bahamas, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHS - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.178092718,"Imputation",{"$f":"F166/100","v":1.1780927180000001E-2},{"$f":"H166*((0.1+(2*0.9)))","v":2.2383761642000004E-2},null,null,null,"Rwanda",0.68065430888199996]
["Bahamas, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHS - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.734166622,"Imputation",{"$f":"F167/100","v":2.7341666220000001E-2},{"$f":"H167*((0.1+(2*0.8)))","v":4.6480832574000007E-2},null,null,null,"Samoa",0.46701611280700006]
["Bahamas, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHS - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.2297282220000003,"Imputation",4.2297282220000003E-2,{"$f":"H168*((0.1+(2*0.7)))","v":6.3445923330000001E-2},null,null,null,"Sao Tome and Principe",0.55102835512499992]
["Bahamas, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHS - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.6173582079999997,"Imputation",5.6173582079999999E-2,{"$f":"H169*((0.1+(2*0.6)))","v":7.3025656704000005E-2},null,null,null,"Saudi Arabia",0.43719248509800002]
["Bahamas, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHS - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.9938983920000002,"Imputation",6.9938983920000003E-2,{"$f":"H170*((0.1+(2*0.5)))","v":7.6932882312000003E-2},null,null,null,"Senegal",0.60329375482499992]
["Bahamas, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHS - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.743145943,"Imputation",8.7431459429999997E-2,{"$f":"H171*((0.1+(2*0.4)))","v":7.8688313487000006E-2},null,null,null,"Serbia",0.32322111895899996]
["Bahamas, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHS - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.67528343,"Imputation",0.1067528343,{"$f":"H172*((0.1+(2*0.3)))","v":7.4726984009999997E-2},null,null,null,"Sierra Leone",0.74424477998299998]
["Bahamas, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHS - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.134861949999999,"Imputation",0.13134861949999999,{"$f":"H173*((0.1+(2*0.2)))","v":6.5674309749999993E-2},null,null,null,"Singapore",0.415693164176]
["Bahamas, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHS - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.89611816,"Imputation",0.16896118160000001,{"$f":"H174*((0.1+(2*0.1)))","v":5.068835448000001E-2},null,null,null,"Slovak Republic",0.26606119180499987]
["Bahamas, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BHS - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.79735947,"Imputation",0.29797359470000001,{"$f":"H175*((0.1+(2*0)))","v":2.9797359470000003E-2},{"$f":"1-(I166+I167+I168+I169+I170+I171+I172+I173+I174+I175)","v":0.41815562224100011},null,null,"Slovenia",0.28804892066499999]
["Bosnia and Herzegovina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BIH - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.0292420390000001,"Model-based extrapolation",{"$f":"F176/100","v":1.0292420390000001E-2},{"$f":"H176*((0.1+(2*0.9)))","v":1.9555598741000005E-2},null,null,null,"Solomon Islands",0.648148629162]
["Bosnia and Herzegovina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BIH - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.5365571980000001,"Model-based extrapolation",{"$f":"F177/100","v":2.5365571980000001E-2},{"$f":"H177*((0.1+(2*0.8)))","v":4.3121472366000009E-2},null,null,null,"Somalia",0.67176893986700004]
["Bosnia and Herzegovina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BIH - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.6858091350000004,"Model-based extrapolation",5.6858091350000001E-2,{"$f":"H178*((0.1+(2*0.7)))","v":8.5287137025000001E-2},null,null,null,"South Africa",0.47030136565199998]
["Bosnia and Herzegovina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BIH - ILO - ILO modelled estimates","Decile: Decile 4",2017,7.0777158739999999,"Model-based extrapolation",7.0777158739999999E-2,{"$f":"H179*((0.1+(2*0.6)))","v":9.2010306361999999E-2},null,null,null,"South America",0.4955330588639999]
["Bosnia and Herzegovina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BIH - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.4579696660000003,"Model-based extrapolation",8.4579696660000009E-2,{"$f":"H180*((0.1+(2*0.5)))","v":9.3037666326000024E-2},null,null,null,"South Sudan",0.75275599169999996]
["Bosnia and Herzegovina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BIH - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.6707744600000005,"Model-based extrapolation",9.6707744600000006E-2,{"$f":"H181*((0.1+(2*0.4)))","v":8.7036970140000003E-2},null,null,null,"South-Eastern Asia",0.58686931722000002]
["Bosnia and Herzegovina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BIH - ILO - ILO modelled estimates","Decile: Decile 7",2017,11.0921936,"Model-based extrapolation",0.110921936,{"$f":"H182*((0.1+(2*0.3)))","v":7.7645355199999988E-2},null,null,null,"South-Eastern Asia and the Pacific",0.616258054848]
["Bosnia and Herzegovina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BIH - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.904152870000001,"Model-based extrapolation",0.12904152870000002,{"$f":"H183*((0.1+(2*0.2)))","v":6.4520764350000009E-2},null,null,null,"Southern Africa",0.49261915993399996]
["Bosnia and Herzegovina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BIH - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.93564224,"Model-based extrapolation",0.16935642240000001,{"$f":"H184*((0.1+(2*0.1)))","v":5.0806926720000013E-2},null,null,null,"Southern Asia",0.71614120576199991]
["Bosnia and Herzegovina","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BIH - ILO - ILO modelled estimates","Decile: Decile 10",2017,24.60994148,"Model-based extrapolation",0.2460994148,{"$f":"H185*((0.1+(2*0)))","v":2.4609941480000001E-2},{"$f":"1-(I176+I177+I178+I179+I180+I181+I182+I183+I184+I185)","v":0.36236786128999998},null,null,"Southern Europe",0.40082498829400004]
["Belarus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLR - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.1324849129999999,"Imputation",{"$f":"F186/100","v":2.132484913E-2},{"$f":"H186*((0.1+(2*0.9)))","v":4.0517213347000001E-2},null,null,null,"Spain",0.36773867714599995]
["Belarus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLR - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.1574487690000002,"Imputation",{"$f":"F187/100","v":4.1574487690000002E-2},{"$f":"H187*((0.1+(2*0.8)))","v":7.0676629073000014E-2},null,null,null,"Sri Lanka",0.47237697246900001]
["Belarus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLR - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.4824123379999996,"Imputation",5.4824123379999999E-2,{"$f":"H188*((0.1+(2*0.7)))","v":8.2236185069999995E-2},null,null,null,"St. Lucia",0.46190879548099995]
["Belarus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLR - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.6783342360000004,"Imputation",6.6783342359999998E-2,{"$f":"H189*((0.1+(2*0.6)))","v":8.6818345068E-2},null,null,null,"St. Vincent and the Grenadines",0.44518445730299994]
["Belarus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLR - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.8771719930000001,"Imputation",7.8771719929999998E-2,{"$f":"H190*((0.1+(2*0.5)))","v":8.6648891923000002E-2},null,null,null,"Sub-Saharan Africa",0.75667491995000002]
["Belarus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLR - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.0015258790000008,"Imputation",9.0015258790000011E-2,{"$f":"H191*((0.1+(2*0.4)))","v":8.1013732911000017E-2},null,null,null,"Sudan",0.539374735928]
["Belarus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLR - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.647371290000001,"Imputation",0.1064737129,{"$f":"H192*((0.1+(2*0.3)))","v":7.4531599029999993E-2},null,null,null,"Suriname",0.42675859033499997]
["Belarus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLR - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.59239292,"Imputation",0.12592392920000001,{"$f":"H193*((0.1+(2*0.2)))","v":6.2961964600000003E-2},null,null,null,"Sweden",0.35374529667700005]
["Belarus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLR - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.947065350000001,"Imputation",0.1594706535,{"$f":"H194*((0.1+(2*0.1)))","v":4.7841196050000007E-2},null,null,null,"Switzerland",0.3806300675819998]
["Belarus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLR - ILO - ILO modelled estimates","Decile: Decile 10",2017,25.483779909999999,"Imputation",0.25483779909999998,{"$f":"H195*((0.1+(2*0)))","v":2.5483779910000001E-2},{"$f":"1-(I186+I187+I188+I189+I190+I191+I192+I193+I194+I195)","v":0.34127046301800001},null,null,"Syrian Arab Republic",0.53223520995100004]
["Belize","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLZ - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.96104991399999995,"Imputation",{"$f":"F196/100","v":9.6104991399999992E-3},{"$f":"H196*((0.1+(2*0.9)))","v":1.8259948365999999E-2},null,null,null,"Taiwan, China",0.42836192058599987]
["Belize","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLZ - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.2514805789999999,"Imputation",{"$f":"F197/100","v":2.2514805789999998E-2},{"$f":"H197*((0.1+(2*0.8)))","v":3.8275169843000001E-2},null,null,null,"Tajikistan",0.56271716493899993]
["Belize","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLZ - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.552803516,"Imputation",3.5528035159999999E-2,{"$f":"H198*((0.1+(2*0.7)))","v":5.3292052739999998E-2},null,null,null,"Tanzania",0.67531644015100001]
["Belize","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLZ - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.8281445500000002,"Imputation",4.8281445499999999E-2,{"$f":"H199*((0.1+(2*0.6)))","v":6.2765879149999995E-2},null,null,null,"Thailand",0.48326731084200003]
["Belize","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLZ - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.258331299,"Imputation",6.2583312990000001E-2,{"$f":"H200*((0.1+(2*0.5)))","v":6.8841644289000012E-2},null,null,null,"Timor-Leste",0.6475853064949999]
["Belize","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLZ - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.9399456979999998,"Imputation",7.9399456980000005E-2,{"$f":"H201*((0.1+(2*0.4)))","v":7.145951128200001E-2},null,null,null,"Togo",0.66976900393499994]
["Belize","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLZ - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.20559978,"Imputation",0.10205599780000001,{"$f":"H202*((0.1+(2*0.3)))","v":7.1439198460000006E-2},null,null,null,"Tonga",0.52760246641599995]
["Belize","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLZ - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.698572159999999,"Imputation",0.12698572159999999,{"$f":"H203*((0.1+(2*0.2)))","v":6.3492860799999995E-2},null,null,null,"Trinidad and Tobago",0.43025727772099998]
["Belize","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLZ - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.957704540000002,"Imputation",0.16957704540000001,{"$f":"H204*((0.1+(2*0.1)))","v":5.0873113620000014E-2},null,null,null,"Tunisia",0.49102339035300002]
["Belize","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BLZ - ILO - ILO modelled estimates","Decile: Decile 10",2017,34.346374509999997,"Imputation",0.3434637451,{"$f":"H205*((0.1+(2*0)))","v":3.434637451E-2},{"$f":"1-(I196+I197+I198+I199+I200+I201+I202+I203+I204+I205)","v":0.46695424693999987},null,null,"Turkey",0.43158258765000002]
["Bolivia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BOL - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.2127455469999999,null,{"$f":"F206/100","v":1.212745547E-2},{"$f":"H206*((0.1+(2*0.9)))","v":2.3042165393E-2},null,null,null,"Turkmenistan",0.37360602068999993]
["Bolivia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BOL - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.4313175679999999,null,{"$f":"F207/100","v":2.431317568E-2},{"$f":"H207*((0.1+(2*0.8)))","v":4.1332398656000004E-2},null,null,null,"Uganda",0.79251937083800006]
["Bolivia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BOL - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.7431979179999999,null,3.7431979179999998E-2,{"$f":"H208*((0.1+(2*0.7)))","v":5.6147968770000001E-2},null,null,null,"Ukraine",0.36663360690100011]
["Bolivia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BOL - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.1056313510000004,null,5.1056313510000007E-2,{"$f":"H209*((0.1+(2*0.6)))","v":6.6373207563000011E-2},null,null,null,"United Arab Emirates",0.43094569087599999]
["Bolivia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BOL - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.4912457469999998,null,6.4912457470000004E-2,{"$f":"H210*((0.1+(2*0.5)))","v":7.1403703217000014E-2},null,null,null,"United Kingdom",0.420758865835]
["Bolivia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BOL - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.2154664989999997,null,8.2154664990000001E-2,{"$f":"H211*((0.1+(2*0.4)))","v":7.3939198491000002E-2},null,null,null,"United States",0.429309046029]
["Bolivia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BOL - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.446051600000001,null,0.104460516,{"$f":"H212*((0.1+(2*0.3)))","v":7.31223612E-2},null,null,null,"United States Virgin Islands",0.41300162912399996]
["Bolivia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BOL - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.1782360099999,null,0.131782360099999,{"$f":"H213*((0.1+(2*0.2)))","v":6.5891180049999498E-2},null,null,null,"Uruguay",0.42632626132499984]
["Bolivia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BOL - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.77334213,null,0.1777334213,{"$f":"H214*((0.1+(2*0.1)))","v":5.3320026390000011E-2},null,null,null,"Uzbekistan",0.41581897386900013]
["Bolivia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BOL - ILO - ILO modelled estimates","Decile: Decile 10",2017,31.402767180000001,null,0.31402767180000002,{"$f":"H215*((0.1+(2*0)))","v":3.1402767180000006E-2},{"$f":"1-(I206+I207+I208+I209+I210+I211+I212+I213+I214+I215)","v":0.44402502309000047},null,null,"Vanuatu",0.59488187158399997]
["Brazil","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRA - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.03895092,null,{"$f":"F216/100","v":1.0389509200000001E-2},{"$f":"H216*((0.1+(2*0.9)))","v":1.9740067480000002E-2},null,null,null,"Venezuela, RB",0.33994566933500003]
["Brazil","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRA - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.487678528,null,{"$f":"F217/100","v":2.4876785280000001E-2},{"$f":"H217*((0.1+(2*0.8)))","v":4.2290534976000008E-2},null,null,null,"Vietnam",0.49849298710900003]
["Brazil","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRA - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.977081299,null,3.9770812990000001E-2,{"$f":"H218*((0.1+(2*0.7)))","v":5.9656219485000002E-2},null,null,null,"Western Africa",0.72400055352199999]
["Brazil","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRA - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.8504528999999996,null,4.8504528999999998E-2,{"$f":"H219*((0.1+(2*0.6)))","v":6.3055887699999993E-2},null,null,null,"Western Asia",0.45558224039700002]
["Brazil","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRA - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.5372409820000001,null,5.5372409820000003E-2,{"$f":"H220*((0.1+(2*0.5)))","v":6.0909650802000011E-2},null,null,null,"Western Europe",0.36690697123099991]
["Brazil","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRA - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.6020846369999999,null,6.6020846369999997E-2,{"$f":"H221*((0.1+(2*0.4)))","v":5.9418761733000001E-2},null,null,null,"Western Sahara",0.52711864090799998]
["Brazil","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRA - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.1594200130000001,null,8.1594200130000002E-2,{"$f":"H222*((0.1+(2*0.3)))","v":5.7115940090999996E-2},null,null,null,"World",0.65035084067100002]
["Brazil","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRA - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.529028889999999,null,0.10529028889999999,{"$f":"H223*((0.1+(2*0.2)))","v":5.2645144449999993E-2},null,null,null,"World excluding BRICS",0.648193590431]
["Brazil","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRA - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.45370102,null,0.15453701019999999,{"$f":"H224*((0.1+(2*0.1)))","v":4.6361103060000006E-2},null,null,null,"Yemen, Rep.",0.58185520200800001]
["Brazil","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRA - ILO - ILO modelled estimates","Decile: Decile 10",2017,41.364372250000002,null,0.41364372250000003,{"$f":"H225*((0.1+(2*0)))","v":4.1364372250000003E-2},{"$f":"1-(I216+I217+I218+I219+I220+I221+I222+I223+I224+I225)","v":0.49744231797299998},null,null,"Zambia",0.71095139907399996]
["Barbados","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRB - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.1126267910000001,"Imputation",{"$f":"F226/100","v":1.1126267910000001E-2},{"$f":"H226*((0.1+(2*0.9)))","v":2.1139909029000002E-2},null,null,null,"Zimbabwe",0.60922811951099998]
["Barbados","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRB - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.600721359,"Imputation",{"$f":"F227/100","v":2.6007213590000001E-2},{"$f":"H227*((0.1+(2*0.8)))","v":4.4212263103000006E-2},null,null,null,"Occupied Palestinian Territory",0.50779499516899995]
["Barbados","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRB - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.0533623700000003,"Imputation",4.05336237E-2,{"$f":"H228*((0.1+(2*0.7)))","v":6.0800435550000004E-2},null,null,null,"Hong Kong SAR, China",0.41323986322799999]
["Barbados","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRB - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.4244880679999996,"Imputation",5.4244880679999996E-2,{"$f":"H229*((0.1+(2*0.6)))","v":7.0518344883999995E-2},null,null,null,"Grand Total",112.20386750200301]
["Barbados","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRB - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.8437743190000004,"Imputation",6.8437743190000011E-2,{"$f":"H230*((0.1+(2*0.5)))","v":7.5281517509000015E-2}]
["Barbados","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRB - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.5738487239999994,"Imputation",8.5738487239999994E-2,{"$f":"H231*((0.1+(2*0.4)))","v":7.7164638516E-2}]
["Barbados","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRB - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.691953659999999,"Imputation",0.10691953659999999,{"$f":"H232*((0.1+(2*0.3)))","v":7.4843675619999994E-2}]
["Barbados","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRB - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.17539215,"Imputation",0.13175392150000001,{"$f":"H233*((0.1+(2*0.2)))","v":6.5876960750000005E-2}]
["Barbados","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRB - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.122957230000001,"Imputation",0.17122957230000002,{"$f":"H234*((0.1+(2*0.1)))","v":5.1368871690000012E-2}]
["Barbados","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRB - ILO - ILO modelled estimates","Decile: Decile 10",2017,30.400863650000002,"Imputation",0.30400863650000004,{"$f":"H235*((0.1+(2*0)))","v":3.0400863650000005E-2},{"$f":"1-(I226+I227+I228+I229+I230+I231+I232+I233+I234+I235)","v":0.42839251969899994}]
["Brunei Darussalam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRN - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.3240132330000001,null,{"$f":"F236/100","v":1.3240132330000001E-2},{"$f":"H236*((0.1+(2*0.9)))","v":2.5156251427000006E-2}]
["Brunei Darussalam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRN - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.5019130710000002,null,{"$f":"F237/100","v":2.501913071E-2},{"$f":"H237*((0.1+(2*0.8)))","v":4.2532522207000004E-2}]
["Brunei Darussalam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRN - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.1795978549999999,null,3.1795978549999999E-2,{"$f":"H238*((0.1+(2*0.7)))","v":4.7693967825000003E-2}]
["Brunei Darussalam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRN - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.2243313789999997,null,4.2243313789999994E-2,{"$f":"H239*((0.1+(2*0.6)))","v":5.4916307926999995E-2}]
["Brunei Darussalam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRN - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.4896311759999996,null,5.4896311759999997E-2,{"$f":"H240*((0.1+(2*0.5)))","v":6.0385942936000005E-2}]
["Brunei Darussalam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRN - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.0386266710000003,null,7.0386266710000006E-2,{"$f":"H241*((0.1+(2*0.4)))","v":6.3347640039000008E-2}]
["Brunei Darussalam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRN - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.410228729,null,9.4102287290000003E-2,{"$f":"H242*((0.1+(2*0.3)))","v":6.5871601102999999E-2}]
["Brunei Darussalam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRN - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.74226093,null,0.12742260930000002,{"$f":"H243*((0.1+(2*0.2)))","v":6.3711304650000009E-2}]
["Brunei Darussalam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRN - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.18851089,null,0.18188510890000001,{"$f":"H244*((0.1+(2*0.1)))","v":5.4565532670000014E-2}]
["Brunei Darussalam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BRN - ILO - ILO modelled estimates","Decile: Decile 10",2017,35.900894170000001,null,0.35900894170000003,{"$f":"H245*((0.1+(2*0)))","v":3.5900894170000003E-2},{"$f":"1-(I236+I237+I238+I239+I240+I241+I242+I243+I244+I245)","v":0.48591803504599995}]
["Bhutan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BTN - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.62462151099999996,"Imputation",{"$f":"F246/100","v":6.2462151099999998E-3},{"$f":"H246*((0.1+(2*0.9)))","v":1.1867808709E-2}]
["Bhutan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BTN - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.3314906360000001,"Imputation",{"$f":"F247/100","v":1.331490636E-2},{"$f":"H247*((0.1+(2*0.8)))","v":2.2635340812000002E-2}]
["Bhutan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BTN - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.147213936,"Imputation",2.147213936E-2,{"$f":"H248*((0.1+(2*0.7)))","v":3.2208209039999998E-2}]
["Bhutan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BTN - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.186879158,"Imputation",3.186879158E-2,{"$f":"H249*((0.1+(2*0.6)))","v":4.1429429054000003E-2}]
["Bhutan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BTN - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.4784355160000002,"Imputation",4.4784355160000004E-2,{"$f":"H250*((0.1+(2*0.5)))","v":4.9262790676000007E-2}]
["Bhutan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BTN - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.2153186800000002,"Imputation",6.2153186800000003E-2,{"$f":"H251*((0.1+(2*0.4)))","v":5.5937868120000005E-2}]
["Bhutan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BTN - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.3148555759999994,"Imputation",8.3148555759999992E-2,{"$f":"H252*((0.1+(2*0.3)))","v":5.8203989031999991E-2}]
["Bhutan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BTN - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.277713779999999,"Imputation",0.1127771378,{"$f":"H253*((0.1+(2*0.2)))","v":5.6388568899999998E-2}]
["Bhutan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BTN - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.318727490000001,"Imputation",0.16318727490000001,{"$f":"H254*((0.1+(2*0.1)))","v":4.8956182470000012E-2}]
["Bhutan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BTN - ILO - ILO modelled estimates","Decile: Decile 10",2017,46.104732509999998,"Imputation",0.46104732509999996,{"$f":"H255*((0.1+(2*0)))","v":4.6104732509999996E-2},{"$f":"1-(I246+I247+I248+I249+I250+I251+I252+I253+I254+I255)","v":0.57700508067700007}]
["Botswana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BWA - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.037036657,"Imputation",{"$f":"F256/100","v":1.0370366570000001E-2},{"$f":"H256*((0.1+(2*0.9)))","v":1.9703696483000004E-2}]
["Botswana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BWA - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.3573291300000001,"Imputation",{"$f":"F257/100","v":2.35732913E-2},{"$f":"H257*((0.1+(2*0.8)))","v":4.0074595210000008E-2}]
["Botswana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BWA - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.5840151310000001,"Imputation",3.5840151309999999E-2,{"$f":"H258*((0.1+(2*0.7)))","v":5.3760226964999998E-2}]
["Botswana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BWA - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.7541189189999997,"Imputation",4.7541189189999999E-2,{"$f":"H259*((0.1+(2*0.6)))","v":6.1803545947000001E-2}]
["Botswana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BWA - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.9121270179999996,"Imputation",5.9121270179999998E-2,{"$f":"H260*((0.1+(2*0.5)))","v":6.5033397197999998E-2}]
["Botswana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BWA - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.3040490150000004,"Imputation",7.3040490149999998E-2,{"$f":"H261*((0.1+(2*0.4)))","v":6.5736441135000004E-2}]
["Botswana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BWA - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.9301223749999998,"Imputation",8.9301223749999992E-2,{"$f":"H262*((0.1+(2*0.3)))","v":6.2510856624999986E-2}]
["Botswana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BWA - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.452775000000001,"Imputation",0.11452775000000001,{"$f":"H263*((0.1+(2*0.2)))","v":5.7263875000000006E-2}]
["Botswana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BWA - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.53282166,"Imputation",0.16532821659999999,{"$f":"H264*((0.1+(2*0.1)))","v":4.9598464980000007E-2}]
["Botswana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","BWA - ILO - ILO modelled estimates","Decile: Decile 10",2017,38.135604860000001,"Imputation",0.3813560486,{"$f":"H265*((0.1+(2*0)))","v":3.8135604860000005E-2},{"$f":"1-(I256+I257+I258+I259+I260+I261+I262+I263+I264+I265)","v":0.48637929559699999}]
["Central African Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAF - ILO - ILO modelled estimates","Decile: Decile 1",2017,4.3693854999999997E-2,"Imputation",{"$f":"F266/100","v":4.3693854999999997E-4},{"$f":"H266*((0.1+(2*0.9)))","v":8.3018324499999996E-4}]
["Central African Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAF - ILO - ILO modelled estimates","Decile: Decile 2",2017,9.4902634999999999E-2,"Imputation",{"$f":"F267/100","v":9.4902634999999996E-4},{"$f":"H267*((0.1+(2*0.8)))","v":1.6133447950000001E-3}]
["Central African Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAF - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.17269139,"Imputation",1.7269138999999999E-3,{"$f":"H268*((0.1+(2*0.7)))","v":2.5903708499999999E-3}]
["Central African Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAF - ILO - ILO modelled estimates","Decile: Decile 4",2017,0.28595843900000001,"Imputation",2.8595843900000003E-3,{"$f":"H269*((0.1+(2*0.6)))","v":3.7174597070000004E-3}]
["Central African Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAF - ILO - ILO modelled estimates","Decile: Decile 5",2017,0.59636747800000001,"Imputation",5.9636747799999999E-3,{"$f":"H270*((0.1+(2*0.5)))","v":6.5600422580000001E-3}]
["Central African Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAF - ILO - ILO modelled estimates","Decile: Decile 6",2017,1.4895197149999999,"Imputation",1.4895197149999999E-2,{"$f":"H271*((0.1+(2*0.4)))","v":1.3405677434999999E-2}]
["Central African Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAF - ILO - ILO modelled estimates","Decile: Decile 7",2017,2.5323655610000002,"Imputation",2.5323655610000002E-2,{"$f":"H272*((0.1+(2*0.3)))","v":1.7726558927000001E-2}]
["Central African Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAF - ILO - ILO modelled estimates","Decile: Decile 8",2017,4.8254361149999996,"Imputation",4.8254361149999994E-2,{"$f":"H273*((0.1+(2*0.2)))","v":2.4127180574999997E-2}]
["Central African Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAF - ILO - ILO modelled estimates","Decile: Decile 9",2017,11.305735589999999,"Imputation",0.11305735589999999,{"$f":"H274*((0.1+(2*0.1)))","v":3.391720677E-2}]
["Central African Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAF - ILO - ILO modelled estimates","Decile: Decile 10",2017,78.653335569999996,"Imputation",0.78653335569999994,{"$f":"H275*((0.1+(2*0)))","v":7.8653335569999996E-2},{"$f":"1-(I266+I267+I268+I269+I270+I271+I272+I273+I274+I275)","v":0.816858639868}]
["Canada","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAN - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.7280461789999999,null,{"$f":"F276/100","v":1.728046179E-2},{"$f":"H276*((0.1+(2*0.9)))","v":3.2832877401E-2}]
["Canada","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAN - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.873363495,null,{"$f":"F277/100","v":3.8733634949999998E-2},{"$f":"H277*((0.1+(2*0.8)))","v":6.5847179414999998E-2}]
["Canada","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAN - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.4199190140000004,null,5.4199190140000006E-2,{"$f":"H278*((0.1+(2*0.7)))","v":8.1298785210000002E-2}]
["Canada","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAN - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.7232027050000003,null,6.7232027050000004E-2,{"$f":"H279*((0.1+(2*0.6)))","v":8.7401635165000005E-2}]
["Canada","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAN - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.0199623110000005,null,8.0199623110000007E-2,{"$f":"H280*((0.1+(2*0.5)))","v":8.8219585421000016E-2}]
["Canada","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAN - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.4576416020000007,null,9.4576416020000012E-2,{"$f":"H281*((0.1+(2*0.4)))","v":8.5118774418000018E-2}]
["Canada","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAN - ILO - ILO modelled estimates","Decile: Decile 7",2017,11.10289669,null,0.1110289669,{"$f":"H282*((0.1+(2*0.3)))","v":7.772027682999999E-2}]
["Canada","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAN - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.30192375,null,0.1330192375,{"$f":"H283*((0.1+(2*0.2)))","v":6.6509618749999999E-2}]
["Canada","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAN - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.318677900000001,null,0.163186779,{"$f":"H284*((0.1+(2*0.1)))","v":4.8956033700000005E-2}]
["Canada","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CAN - ILO - ILO modelled estimates","Decile: Decile 10",2017,24.054355619999999,null,0.24054355619999998,{"$f":"H285*((0.1+(2*0)))","v":2.4054355619999999E-2},{"$f":"1-(I276+I277+I278+I279+I280+I281+I282+I283+I284+I285)","v":0.34204087806999994}]
["Channel Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHA - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.201725245,"Imputation",{"$f":"F286/100","v":2.201725245E-2},{"$f":"H286*((0.1+(2*0.9)))","v":4.1832779655000006E-2}]
["Channel Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHA - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.2708888050000002,"Imputation",{"$f":"F287/100","v":4.2708888050000005E-2},{"$f":"H287*((0.1+(2*0.8)))","v":7.2605109685000016E-2}]
["Channel Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHA - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.6070227619999997,"Imputation",5.6070227619999996E-2,{"$f":"H288*((0.1+(2*0.7)))","v":8.4105341429999994E-2}]
["Channel Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHA - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.7769479749999997,"Imputation",6.776947975E-2,{"$f":"H289*((0.1+(2*0.6)))","v":8.8100323675000008E-2}]
["Channel Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHA - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.8505344389999996,"Imputation",7.8505344389999995E-2,{"$f":"H290*((0.1+(2*0.5)))","v":8.6355878829000005E-2}]
["Channel Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHA - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.0028038020000007,"Imputation",9.0028038020000006E-2,{"$f":"H291*((0.1+(2*0.4)))","v":8.1025234218000008E-2}]
["Channel Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHA - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.182557109999999,"Imputation",0.1018255711,{"$f":"H292*((0.1+(2*0.3)))","v":7.127789977E-2}]
["Channel Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHA - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.065677640000001,"Imputation",0.1206567764,{"$f":"H293*((0.1+(2*0.2)))","v":6.0328388199999999E-2}]
["Channel Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHA - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.09353256,"Imputation",0.1509353256,{"$f":"H294*((0.1+(2*0.1)))","v":4.5280597680000007E-2}]
["Channel Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHA - ILO - ILO modelled estimates","Decile: Decile 10",2017,26.948318480000001,"Imputation",0.2694831848,{"$f":"H295*((0.1+(2*0)))","v":2.694831848E-2},{"$f":"1-(I286+I287+I288+I289+I290+I291+I292+I293+I294+I295)","v":0.34214012837800001}]
["Switzerland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHE - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.2349815369999999,"Model-based extrapolation",{"$f":"F296/100","v":1.2349815369999999E-2},{"$f":"H296*((0.1+(2*0.9)))","v":2.3464649202999999E-2}]
["Switzerland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHE - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.109813452,"Model-based extrapolation",{"$f":"F297/100","v":3.1098134520000001E-2},{"$f":"H297*((0.1+(2*0.8)))","v":5.2866828684000007E-2}]
["Switzerland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHE - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.9348502160000001,"Model-based extrapolation",4.9348502160000002E-2,{"$f":"H298*((0.1+(2*0.7)))","v":7.4022753240000003E-2}]
["Switzerland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHE - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.5117588040000003,"Model-based extrapolation",6.5117588040000007E-2,{"$f":"H299*((0.1+(2*0.6)))","v":8.4652864452000015E-2}]
["Switzerland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHE - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.9682350160000004,"Model-based extrapolation",7.9682350159999998E-2,{"$f":"H300*((0.1+(2*0.5)))","v":8.7650585176000009E-2}]
["Switzerland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHE - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.3122034070000002,"Model-based extrapolation",9.3122034069999998E-2,{"$f":"H301*((0.1+(2*0.4)))","v":8.3809830663000004E-2}]
["Switzerland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHE - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.73339558,"Model-based extrapolation",0.10733395579999999,{"$f":"H302*((0.1+(2*0.3)))","v":7.5133769059999994E-2}]
["Switzerland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHE - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.57148933,"Model-based extrapolation",0.12571489329999999,{"$f":"H303*((0.1+(2*0.2)))","v":6.2857446649999996E-2}]
["Switzerland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHE - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.643968579999999,"Model-based extrapolation",0.15643968580000001,{"$f":"H304*((0.1+(2*0.1)))","v":4.6931905740000009E-2}]
["Switzerland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHE - ILO - ILO modelled estimates","Decile: Decile 10",2017,27.97929955,"Model-based extrapolation",0.27979299550000003,{"$f":"H305*((0.1+(2*0)))","v":2.7979299550000003E-2},{"$f":"1-(I296+I297+I298+I299+I300+I301+I302+I303+I304+I305)","v":0.3806300675819998}]
["Chile","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHL - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.5263413189999999,"Model-based extrapolation",{"$f":"F306/100","v":1.5263413189999998E-2},{"$f":"H306*((0.1+(2*0.9)))","v":2.9000485061E-2}]
["Chile","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHL - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.2261979580000002,"Model-based extrapolation",{"$f":"F307/100","v":3.2261979580000003E-2},{"$f":"H307*((0.1+(2*0.8)))","v":5.4845365286000008E-2}]
["Chile","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHL - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.199233532,"Model-based extrapolation",4.1992335319999997E-2,{"$f":"H308*((0.1+(2*0.7)))","v":6.298850298E-2}]
["Chile","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHL - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.652347088,"Model-based extrapolation",4.6523470880000001E-2,{"$f":"H309*((0.1+(2*0.6)))","v":6.0480512144E-2}]
["Chile","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHL - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.4064545629999996,"Model-based extrapolation",5.4064545629999995E-2,{"$f":"H310*((0.1+(2*0.5)))","v":5.9471000193000001E-2}]
["Chile","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHL - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.4751954080000003,"Model-based extrapolation",6.4751954080000007E-2,{"$f":"H311*((0.1+(2*0.4)))","v":5.8276758672000009E-2}]
["Chile","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHL - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.860707283,"Model-based extrapolation",7.8607072829999999E-2,{"$f":"H312*((0.1+(2*0.3)))","v":5.5024950980999993E-2}]
["Chile","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHL - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.124620439999999,"Model-based extrapolation",0.1012462044,{"$f":"H313*((0.1+(2*0.2)))","v":5.0623102199999999E-2}]
["Chile","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHL - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.603550909999999,"Model-based extrapolation",0.14603550909999999,{"$f":"H314*((0.1+(2*0.1)))","v":4.3810652730000003E-2}]
["Chile","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHL - ILO - ILO modelled estimates","Decile: Decile 10",2017,41.925331120000003,"Model-based extrapolation",0.41925331120000003,{"$f":"H315*((0.1+(2*0)))","v":4.1925331120000006E-2},{"$f":"1-(I306+I307+I308+I309+I310+I311+I312+I313+I314+I315)","v":0.48355333863299998}]
["China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHN - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.43716058099999999,"Imputation",{"$f":"F316/100","v":4.37160581E-3},{"$f":"H316*((0.1+(2*0.9)))","v":8.3060510390000012E-3}]
["China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHN - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.114029884,"Imputation",{"$f":"F317/100","v":1.114029884E-2},{"$f":"H317*((0.1+(2*0.8)))","v":1.8938508028000001E-2}]
["China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHN - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.0212695599999999,"Imputation",2.02126956E-2,{"$f":"H318*((0.1+(2*0.7)))","v":3.0319043400000002E-2}]
["China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHN - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.2398815160000001,"Imputation",3.2398815160000004E-2,{"$f":"H319*((0.1+(2*0.6)))","v":4.211845970800001E-2}]
["China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHN - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.6165566440000001,"Imputation",4.616556644E-2,{"$f":"H320*((0.1+(2*0.5)))","v":5.0782123084000007E-2}]
["China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHN - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.3819627759999999,"Imputation",6.3819627759999997E-2,{"$f":"H321*((0.1+(2*0.4)))","v":5.7437664983999999E-2}]
["China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHN - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.8416910170000005,"Imputation",8.8416910170000002E-2,{"$f":"H322*((0.1+(2*0.3)))","v":6.1891837118999996E-2}]
["China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHN - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.49253845,"Imputation",0.1249253845,{"$f":"H323*((0.1+(2*0.2)))","v":6.246269225E-2}]
["China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHN - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.23796463,"Imputation",0.1823796463,{"$f":"H324*((0.1+(2*0.1)))","v":5.4713893890000011E-2}]
["China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CHN - ILO - ILO modelled estimates","Decile: Decile 10",2017,42.61694336,"Imputation",0.42616943359999998,{"$f":"H325*((0.1+(2*0)))","v":4.2616943359999999E-2},{"$f":"1-(I316+I317+I318+I319+I320+I321+I322+I323+I324+I325)","v":0.57041278313799992}]
["Cote d'Ivoire","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CIV - ILO - ILO modelled estimates","Decile: Decile 1",2017,8.7792486000000003E-2,"Model-based extrapolation",{"$f":"F326/100","v":8.7792486000000001E-4},{"$f":"H326*((0.1+(2*0.9)))","v":1.6680572340000001E-3}]
["Cote d'Ivoire","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CIV - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.31014183200000001,"Model-based extrapolation",{"$f":"F327/100","v":3.1014183199999999E-3},{"$f":"H327*((0.1+(2*0.8)))","v":5.2724111440000006E-3}]
["Cote d'Ivoire","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CIV - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.69158351399999995,"Model-based extrapolation",6.9158351399999998E-3,{"$f":"H328*((0.1+(2*0.7)))","v":1.037375271E-2}]
["Cote d'Ivoire","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CIV - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.088305831,"Model-based extrapolation",1.0883058310000001E-2,{"$f":"H329*((0.1+(2*0.6)))","v":1.4147975803000002E-2}]
["Cote d'Ivoire","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CIV - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.655745268,"Model-based extrapolation",1.6557452680000001E-2,{"$f":"H330*((0.1+(2*0.5)))","v":1.8213197948000002E-2}]
["Cote d'Ivoire","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CIV - ILO - ILO modelled estimates","Decile: Decile 6",2017,2.4388165470000001,"Model-based extrapolation",2.4388165470000001E-2,{"$f":"H331*((0.1+(2*0.4)))","v":2.1949348923E-2}]
["Cote d'Ivoire","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CIV - ILO - ILO modelled estimates","Decile: Decile 7",2017,3.7587099080000002,"Model-based extrapolation",3.7587099079999998E-2,{"$f":"H332*((0.1+(2*0.3)))","v":2.6310969355999997E-2}]
["Cote d'Ivoire","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CIV - ILO - ILO modelled estimates","Decile: Decile 8",2017,6.8248705860000003,"Model-based extrapolation",6.8248705860000008E-2,{"$f":"H333*((0.1+(2*0.2)))","v":3.4124352930000004E-2}]
["Cote d'Ivoire","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CIV - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.389774320000001,"Model-based extrapolation",0.15389774320000002,{"$f":"H334*((0.1+(2*0.1)))","v":4.6169322960000016E-2}]
["Cote d'Ivoire","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CIV - ILO - ILO modelled estimates","Decile: Decile 10",2017,67.754257199999998,"Model-based extrapolation",0.67754257200000001,{"$f":"H335*((0.1+(2*0)))","v":6.7754257200000001E-2},{"$f":"1-(I326+I327+I328+I329+I330+I331+I332+I333+I334+I335)","v":0.75401635379199994}]
["Cameroon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CMR - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.212951317,"Model-based extrapolation",{"$f":"F336/100","v":2.1295131700000002E-3},{"$f":"H336*((0.1+(2*0.9)))","v":4.0460750230000009E-3}]
["Cameroon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CMR - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.631485462,"Model-based extrapolation",{"$f":"F337/100","v":6.3148546200000001E-3},{"$f":"H337*((0.1+(2*0.8)))","v":1.0735252854000002E-2}]
["Cameroon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CMR - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.1784641739999999,"Model-based extrapolation",1.1784641739999999E-2,{"$f":"H338*((0.1+(2*0.7)))","v":1.7676962609999999E-2}]
["Cameroon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CMR - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.822758436,"Model-based extrapolation",1.822758436E-2,{"$f":"H339*((0.1+(2*0.6)))","v":2.3695859668000002E-2}]
["Cameroon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CMR - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.6631844039999999,"Model-based extrapolation",2.6631844039999998E-2,{"$f":"H340*((0.1+(2*0.5)))","v":2.9295028444000001E-2}]
["Cameroon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CMR - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.7848041060000002,"Model-based extrapolation",3.7848041060000004E-2,{"$f":"H341*((0.1+(2*0.4)))","v":3.4063236954000008E-2}]
["Cameroon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CMR - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.4170565609999999,"Model-based extrapolation",5.4170565609999999E-2,{"$f":"H342*((0.1+(2*0.3)))","v":3.7919395926999999E-2}]
["Cameroon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CMR - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.3065786359999993,"Model-based extrapolation",8.3065786359999991E-2,{"$f":"H343*((0.1+(2*0.2)))","v":4.1532893179999995E-2}]
["Cameroon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CMR - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.57417107,"Model-based extrapolation",0.1457417107,{"$f":"H344*((0.1+(2*0.1)))","v":4.3722513210000008E-2}]
["Cameroon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CMR - ILO - ILO modelled estimates","Decile: Decile 10",2017,61.408554080000002,"Model-based extrapolation",0.6140855408,{"$f":"H345*((0.1+(2*0)))","v":6.1408554080000004E-2},{"$f":"1-(I336+I337+I338+I339+I340+I341+I342+I343+I344+I345)","v":0.69590422804999996}]
["Congo, Dem. Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COD - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.13163828799999999,"Model-based extrapolation",{"$f":"F346/100","v":1.31638288E-3},{"$f":"H346*((0.1+(2*0.9)))","v":2.5011274720000004E-3}]
["Congo, Dem. Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COD - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.38744622499999998,"Model-based extrapolation",{"$f":"F347/100","v":3.8744622499999998E-3},{"$f":"H347*((0.1+(2*0.8)))","v":6.5865858250000004E-3}]
["Congo, Dem. Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COD - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.67088204600000001,"Model-based extrapolation",6.7088204599999998E-3,{"$f":"H348*((0.1+(2*0.7)))","v":1.0063230689999999E-2}]
["Congo, Dem. Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COD - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.0122275350000001,"Model-based extrapolation",1.0122275350000001E-2,{"$f":"H349*((0.1+(2*0.6)))","v":1.3158957955000002E-2}]
["Congo, Dem. Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COD - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.4626784319999999,"Model-based extrapolation",1.4626784319999999E-2,{"$f":"H350*((0.1+(2*0.5)))","v":1.6089462751999999E-2}]
["Congo, Dem. Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COD - ILO - ILO modelled estimates","Decile: Decile 6",2017,2.011841059,"Model-based extrapolation",2.011841059E-2,{"$f":"H351*((0.1+(2*0.4)))","v":1.8106569531E-2}]
["Congo, Dem. Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COD - ILO - ILO modelled estimates","Decile: Decile 7",2017,2.850131035,"Model-based extrapolation",2.850131035E-2,{"$f":"H352*((0.1+(2*0.3)))","v":1.9950917244999998E-2}]
["Congo, Dem. Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COD - ILO - ILO modelled estimates","Decile: Decile 8",2017,5.1207222940000001,"Model-based extrapolation",5.1207222939999998E-2,{"$f":"H353*((0.1+(2*0.2)))","v":2.5603611469999999E-2}]
["Congo, Dem. Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COD - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.56990051,"Model-based extrapolation",0.15569900510000001,{"$f":"H354*((0.1+(2*0.1)))","v":4.6709701530000008E-2}]
["Congo, Dem. Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COD - ILO - ILO modelled estimates","Decile: Decile 10",2017,70.782539369999995,"Model-based extrapolation",0.70782539369999997,{"$f":"H355*((0.1+(2*0)))","v":7.0782539369999994E-2},{"$f":"1-(I346+I347+I348+I349+I350+I351+I352+I353+I354+I355)","v":0.77044729615999996}]
["Congo, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COG - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.57946431600000003,"Imputation",{"$f":"F356/100","v":5.7946431600000006E-3},{"$f":"H356*((0.1+(2*0.9)))","v":1.1009822004000002E-2}]
["Congo, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COG - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.191177726,"Imputation",{"$f":"F357/100","v":1.1911777260000001E-2},{"$f":"H357*((0.1+(2*0.8)))","v":2.0250021342000005E-2}]
["Congo, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COG - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.8166842459999999,"Imputation",1.8166842459999999E-2,{"$f":"H358*((0.1+(2*0.7)))","v":2.7250263689999998E-2}]
["Congo, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COG - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.537619114,"Imputation",2.5376191140000001E-2,{"$f":"H359*((0.1+(2*0.6)))","v":3.2989048482000002E-2}]
["Congo, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COG - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.4836950299999998,"Imputation",3.4836950299999996E-2,{"$f":"H360*((0.1+(2*0.5)))","v":3.832064533E-2}]
["Congo, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COG - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.7176775930000003,"Imputation",4.7176775930000005E-2,{"$f":"H361*((0.1+(2*0.4)))","v":4.2459098337000005E-2}]
["Congo, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COG - ILO - ILO modelled estimates","Decile: Decile 7",2017,6.0026721949999997,"Imputation",6.002672195E-2,{"$f":"H362*((0.1+(2*0.3)))","v":4.2018705364999999E-2}]
["Congo, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COG - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.4272327419999993,"Imputation",8.4272327419999987E-2,{"$f":"H363*((0.1+(2*0.2)))","v":4.2136163709999994E-2}]
["Congo, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COG - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.11625862,"Imputation",0.1411625862,{"$f":"H364*((0.1+(2*0.1)))","v":4.2348775860000007E-2}]
["Congo, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COG - ILO - ILO modelled estimates","Decile: Decile 10",2017,57.127502440000001,"Imputation",0.5712750244,{"$f":"H365*((0.1+(2*0)))","v":5.7127502440000005E-2},{"$f":"1-(I356+I357+I358+I359+I360+I361+I362+I363+I364+I365)","v":0.64408995343999997}]
["Colombia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COL - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.0088150499999999,null,{"$f":"F366/100","v":1.0088150499999999E-2},{"$f":"H366*((0.1+(2*0.9)))","v":1.916748595E-2}]
["Colombia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COL - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.4649262429999999,null,{"$f":"F367/100","v":2.4649262429999999E-2},{"$f":"H367*((0.1+(2*0.8)))","v":4.1903746131000001E-2}]
["Colombia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COL - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.657762527,null,3.6577625269999997E-2,{"$f":"H368*((0.1+(2*0.7)))","v":5.4866437904999996E-2}]
["Colombia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COL - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.9206342699999999,null,4.9206342699999996E-2,{"$f":"H369*((0.1+(2*0.6)))","v":6.3968245509999994E-2}]
["Colombia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COL - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.6541762350000004,null,6.6541762350000005E-2,{"$f":"H370*((0.1+(2*0.5)))","v":7.3195938585000009E-2}]
["Colombia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COL - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.8167171480000004,null,8.8167171480000001E-2,{"$f":"H371*((0.1+(2*0.4)))","v":7.9350454331999998E-2}]
["Colombia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COL - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.6017560960000008,null,9.6017560960000012E-2,{"$f":"H372*((0.1+(2*0.3)))","v":6.7212292672000004E-2}]
["Colombia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COL - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.499221800000001,null,0.11499221800000001,{"$f":"H373*((0.1+(2*0.2)))","v":5.7496109000000004E-2}]
["Colombia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COL - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.12407494,null,0.15124074939999999,{"$f":"H374*((0.1+(2*0.1)))","v":4.5372224820000001E-2}]
["Colombia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COL - ILO - ILO modelled estimates","Decile: Decile 10",2017,36.251922610000001,null,0.36251922610000004,{"$f":"H375*((0.1+(2*0)))","v":3.6251922610000008E-2},{"$f":"1-(I366+I367+I368+I369+I370+I371+I372+I373+I374+I375)","v":0.46121514248499995}]
["Comoros","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COM - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.52258724000000001,"Imputation",{"$f":"F376/100","v":5.2258724000000005E-3},{"$f":"H376*((0.1+(2*0.9)))","v":9.9291575600000022E-3}]
["Comoros","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COM - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.15087688,"Imputation",{"$f":"F377/100","v":1.1508768799999999E-2},{"$f":"H377*((0.1+(2*0.8)))","v":1.956490696E-2}]
["Comoros","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COM - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.83288312,"Imputation",1.8328831199999999E-2,{"$f":"H378*((0.1+(2*0.7)))","v":2.7493246799999999E-2}]
["Comoros","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COM - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.6449642180000001,"Imputation",2.644964218E-2,{"$f":"H379*((0.1+(2*0.6)))","v":3.4384534834000002E-2}]
["Comoros","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COM - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.7894804479999999,"Imputation",3.7894804480000002E-2,{"$f":"H380*((0.1+(2*0.5)))","v":4.1684284928000005E-2}]
["Comoros","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COM - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.0130667689999999,"Imputation",5.0130667689999998E-2,{"$f":"H381*((0.1+(2*0.4)))","v":4.5117600920999999E-2}]
["Comoros","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COM - ILO - ILO modelled estimates","Decile: Decile 7",2017,6.9769339559999999,"Imputation",6.9769339560000004E-2,{"$f":"H382*((0.1+(2*0.3)))","v":4.8838537692E-2}]
["Comoros","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COM - ILO - ILO modelled estimates","Decile: Decile 8",2017,9.5084571839999992,"Imputation",9.5084571839999993E-2,{"$f":"H383*((0.1+(2*0.2)))","v":4.7542285919999996E-2}]
["Comoros","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COM - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.600180630000001,"Imputation",0.15600180630000002,{"$f":"H384*((0.1+(2*0.1)))","v":4.6800541890000012E-2}]
["Comoros","Labour income distribution -- ILO modelled estimates, July 2019 (%)","COM - ILO - ILO modelled estimates","Decile: Decile 10",2017,52.960563659999998,"Imputation",0.52960563659999993,{"$f":"H385*((0.1+(2*0)))","v":5.2960563659999994E-2},{"$f":"1-(I376+I377+I378+I379+I380+I381+I382+I383+I384+I385)","v":0.62568433883499996}]
["Cabo Verde","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CPV - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.46806448699999997,"Model-based extrapolation",{"$f":"F386/100","v":4.6806448699999994E-3},{"$f":"H386*((0.1+(2*0.9)))","v":8.8932252529999988E-3}]
["Cabo Verde","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CPV - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.841235757,"Model-based extrapolation",{"$f":"F387/100","v":1.8412357569999999E-2},{"$f":"H387*((0.1+(2*0.8)))","v":3.1301007869000003E-2}]
["Cabo Verde","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CPV - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.4697744849999999,"Model-based extrapolation",3.4697744849999997E-2,{"$f":"H388*((0.1+(2*0.7)))","v":5.2046617274999998E-2}]
["Cabo Verde","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CPV - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.7402987479999998,"Model-based extrapolation",4.7402987479999999E-2,{"$f":"H389*((0.1+(2*0.6)))","v":6.1623883724000003E-2}]
["Cabo Verde","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CPV - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.8131456379999999,"Model-based extrapolation",5.8131456380000002E-2,{"$f":"H390*((0.1+(2*0.5)))","v":6.3944602018000007E-2}]
["Cabo Verde","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CPV - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.283618927,"Model-based extrapolation",7.2836189270000004E-2,{"$f":"H391*((0.1+(2*0.4)))","v":6.5552570343000008E-2}]
["Cabo Verde","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CPV - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.0315408710000007,"Model-based extrapolation",9.0315408710000003E-2,{"$f":"H392*((0.1+(2*0.3)))","v":6.3220786096999992E-2}]
["Cabo Verde","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CPV - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.12373734,"Model-based extrapolation",0.1212373734,{"$f":"H393*((0.1+(2*0.2)))","v":6.06186867E-2}]
["Cabo Verde","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CPV - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.133552550000001,"Model-based extrapolation",0.18133552550000001,{"$f":"H394*((0.1+(2*0.1)))","v":5.440065765000001E-2}]
["Cabo Verde","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CPV - ILO - ILO modelled estimates","Decile: Decile 10",2017,37.095035549999999,"Model-based extrapolation",0.3709503555,{"$f":"H395*((0.1+(2*0)))","v":3.7095035550000002E-2},{"$f":"1-(I386+I387+I388+I389+I390+I391+I392+I393+I394+I395)","v":0.50130292752100003}]
["Costa Rica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CRI - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.63122701599999997,null,{"$f":"F396/100","v":6.3122701599999994E-3},{"$f":"H396*((0.1+(2*0.9)))","v":1.1993313303999999E-2}]
["Costa Rica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CRI - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.888572812,null,{"$f":"F397/100","v":1.888572812E-2},{"$f":"H397*((0.1+(2*0.8)))","v":3.2105737804000001E-2}]
["Costa Rica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CRI - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.4168696399999998,null,3.4168696399999997E-2,{"$f":"H398*((0.1+(2*0.7)))","v":5.1253044599999992E-2}]
["Costa Rica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CRI - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.1486849780000004,null,5.1486849780000003E-2,{"$f":"H399*((0.1+(2*0.6)))","v":6.6932904714000013E-2}]
["Costa Rica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CRI - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.6490826609999996,null,6.6490826609999998E-2,{"$f":"H400*((0.1+(2*0.5)))","v":7.3139909271000003E-2}]
["Costa Rica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CRI - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.7727465630000001,null,7.7727465630000006E-2,{"$f":"H401*((0.1+(2*0.4)))","v":6.9954719067000001E-2}]
["Costa Rica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CRI - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.1484336850000005,null,9.148433685E-2,{"$f":"H402*((0.1+(2*0.3)))","v":6.4039035794999991E-2}]
["Costa Rica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CRI - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.49910927,null,0.11499109270000001,{"$f":"H403*((0.1+(2*0.2)))","v":5.7495546350000003E-2}]
["Costa Rica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CRI - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.79103851,null,0.1679103851,{"$f":"H404*((0.1+(2*0.1)))","v":5.0373115530000005E-2}]
["Costa Rica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CRI - ILO - ILO modelled estimates","Decile: Decile 10",2017,37.054245000000002,null,0.37054245000000002,{"$f":"H405*((0.1+(2*0)))","v":3.7054245000000006E-2},{"$f":"1-(I396+I397+I398+I399+I400+I401+I402+I403+I404+I405)","v":0.48565842856499997}]
["Cuba","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CUB - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.125683188,"Imputation",{"$f":"F406/100","v":1.125683188E-2},{"$f":"H406*((0.1+(2*0.9)))","v":2.1387980572E-2}]
["Cuba","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CUB - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.6455974580000001,"Imputation",{"$f":"F407/100","v":2.645597458E-2},{"$f":"H407*((0.1+(2*0.8)))","v":4.4975156786000003E-2}]
["Cuba","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CUB - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.1303548809999997,"Imputation",4.130354881E-2,{"$f":"H408*((0.1+(2*0.7)))","v":6.1955323214999997E-2}]
["Cuba","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CUB - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.5308814049999997,"Imputation",5.5308814049999995E-2,{"$f":"H409*((0.1+(2*0.6)))","v":7.1901458264999996E-2}]
["Cuba","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CUB - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.9815840720000004,"Imputation",6.9815840720000008E-2,{"$f":"H410*((0.1+(2*0.5)))","v":7.679742479200001E-2}]
["Cuba","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CUB - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.7173280720000008,"Imputation",8.717328072000001E-2,{"$f":"H411*((0.1+(2*0.4)))","v":7.845595264800001E-2}]
["Cuba","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CUB - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.926702499999999,"Imputation",0.10926702499999999,{"$f":"H412*((0.1+(2*0.3)))","v":7.6486917499999987E-2}]
["Cuba","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CUB - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.426113129999999,"Imputation",0.1342611313,{"$f":"H413*((0.1+(2*0.2)))","v":6.7130565650000001E-2}]
["Cuba","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CUB - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.390853880000002,"Imputation",0.17390853880000001,{"$f":"H414*((0.1+(2*0.1)))","v":5.2172561640000011E-2}]
["Cuba","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CUB - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.124881739999999,"Imputation",0.29124881739999997,{"$f":"H415*((0.1+(2*0)))","v":2.9124881739999997E-2},{"$f":"1-(I406+I407+I408+I409+I410+I411+I412+I413+I414+I415)","v":0.41961177719199982}]
["Cyprus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CYP - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.8880124089999999,"Model-based extrapolation",{"$f":"F416/100","v":1.8880124089999999E-2},{"$f":"H416*((0.1+(2*0.9)))","v":3.5872235771000002E-2}]
["Cyprus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CYP - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.4957716460000001,"Model-based extrapolation",{"$f":"F417/100","v":3.4957716460000003E-2},{"$f":"H417*((0.1+(2*0.8)))","v":5.9428117982000012E-2}]
["Cyprus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CYP - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.8674688340000003,"Model-based extrapolation",4.8674688340000001E-2,{"$f":"H418*((0.1+(2*0.7)))","v":7.3012032510000005E-2}]
["Cyprus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CYP - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.8996930120000002,"Model-based extrapolation",5.8996930119999999E-2,{"$f":"H419*((0.1+(2*0.6)))","v":7.6696009156E-2}]
["Cyprus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CYP - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.9929194450000001,"Model-based extrapolation",6.9929194449999996E-2,{"$f":"H420*((0.1+(2*0.5)))","v":7.6922113895000005E-2}]
["Cyprus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CYP - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.3170719149999996,"Model-based extrapolation",8.3170719150000003E-2,{"$f":"H421*((0.1+(2*0.4)))","v":7.4853647235000001E-2}]
["Cyprus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CYP - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.9481849669999995,"Model-based extrapolation",9.9481849669999997E-2,{"$f":"H422*((0.1+(2*0.3)))","v":6.9637294768999991E-2}]
["Cyprus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CYP - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.54462433,"Model-based extrapolation",0.12544624329999998,{"$f":"H423*((0.1+(2*0.2)))","v":6.2723121649999991E-2}]
["Cyprus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CYP - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.448934560000001,"Model-based extrapolation",0.1644893456,{"$f":"H424*((0.1+(2*0.1)))","v":4.9346803680000009E-2}]
["Cyprus","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CYP - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.59731674,"Model-based extrapolation",0.29597316740000001,{"$f":"H425*((0.1+(2*0)))","v":2.9597316740000004E-2},{"$f":"1-(I416+I417+I418+I419+I420+I421+I422+I423+I424+I425)","v":0.39191130661200002}]
["Czech Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CZE - ILO - ILO modelled estimates","Decile: Decile 1",2017,3.5579674240000001,"Model-based extrapolation",{"$f":"F426/100","v":3.5579674239999998E-2},{"$f":"H426*((0.1+(2*0.9)))","v":6.7601381055999998E-2}]
["Czech Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CZE - ILO - ILO modelled estimates","Decile: Decile 2",2017,5.1781854630000002,"Model-based extrapolation",{"$f":"F427/100","v":5.1781854629999999E-2},{"$f":"H427*((0.1+(2*0.8)))","v":8.8029152871000008E-2}]
["Czech Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CZE - ILO - ILO modelled estimates","Decile: Decile 3",2017,6.2415890689999998,"Model-based extrapolation",6.2415890689999996E-2,{"$f":"H428*((0.1+(2*0.7)))","v":9.3623836034999991E-2}]
["Czech Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CZE - ILO - ILO modelled estimates","Decile: Decile 4",2017,7.1463809009999997,"Model-based extrapolation",7.146380900999999E-2,{"$f":"H429*((0.1+(2*0.6)))","v":9.290295171299999E-2}]
["Czech Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CZE - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.1067447660000003,"Model-based extrapolation",8.106744766E-2,{"$f":"H430*((0.1+(2*0.5)))","v":8.9174192426000012E-2}]
["Czech Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CZE - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.0945138930000002,"Model-based extrapolation",9.0945138930000002E-2,{"$f":"H431*((0.1+(2*0.4)))","v":8.185062503700001E-2}]
["Czech Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CZE - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.21062088,"Model-based extrapolation",0.1021062088,{"$f":"H432*((0.1+(2*0.3)))","v":7.1474346159999994E-2}]
["Czech Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CZE - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.772815700000001,"Model-based extrapolation",0.117728157,{"$f":"H433*((0.1+(2*0.2)))","v":5.88640785E-2}]
["Czech Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CZE - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.32163048,"Model-based extrapolation",0.1432163048,{"$f":"H434*((0.1+(2*0.1)))","v":4.2964891440000007E-2}]
["Czech Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","CZE - ILO - ILO modelled estimates","Decile: Decile 10",2017,24.369546889999999,"Model-based extrapolation",0.24369546889999999,{"$f":"H435*((0.1+(2*0)))","v":2.436954689E-2},{"$f":"1-(I426+I427+I428+I429+I430+I431+I432+I433+I434+I435)","v":0.28914499787199999}]
["Germany","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DEU - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.131264925,"Model-based extrapolation",{"$f":"F436/100","v":1.1312649249999999E-2},{"$f":"H436*((0.1+(2*0.9)))","v":2.1494033574999998E-2}]
["Germany","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DEU - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.7652416230000001,"Model-based extrapolation",{"$f":"F437/100","v":2.7652416230000001E-2},{"$f":"H437*((0.1+(2*0.8)))","v":4.7009107591000007E-2}]
["Germany","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DEU - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.6830711359999997,"Model-based extrapolation",4.6830711359999999E-2,{"$f":"H438*((0.1+(2*0.7)))","v":7.0246067039999999E-2}]
["Germany","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DEU - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.3285055159999999,"Model-based extrapolation",6.3285055159999992E-2,{"$f":"H439*((0.1+(2*0.6)))","v":8.2270571707999993E-2}]
["Germany","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DEU - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.9358434679999998,"Model-based extrapolation",7.9358434679999992E-2,{"$f":"H440*((0.1+(2*0.5)))","v":8.7294278148000004E-2}]
["Germany","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DEU - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.4566316599999993,"Model-based extrapolation",9.4566316599999992E-2,{"$f":"H441*((0.1+(2*0.4)))","v":8.5109684939999999E-2}]
["Germany","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DEU - ILO - ILO modelled estimates","Decile: Decile 7",2017,11.08647442,"Model-based extrapolation",0.1108647442,{"$f":"H442*((0.1+(2*0.3)))","v":7.760532094E-2}]
["Germany","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DEU - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.10826492,"Model-based extrapolation",0.13108264920000001,{"$f":"H443*((0.1+(2*0.2)))","v":6.5541324600000006E-2}]
["Germany","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DEU - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.181798929999999,"Model-based extrapolation",0.16181798929999999,{"$f":"H444*((0.1+(2*0.1)))","v":4.8545396790000007E-2}]
["Germany","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DEU - ILO - ILO modelled estimates","Decile: Decile 10",2017,27.32289505,"Model-based extrapolation",0.27322895050000001,{"$f":"H445*((0.1+(2*0)))","v":2.7322895050000004E-2},{"$f":"1-(I436+I437+I438+I439+I440+I441+I442+I443+I444+I445)","v":0.387561319618}]
["Djibouti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DJI - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.76028829799999997,"Imputation",{"$f":"F446/100","v":7.6028829799999996E-3},{"$f":"H446*((0.1+(2*0.9)))","v":1.4445477662E-2}]
["Djibouti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DJI - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.7332193849999999,"Imputation",{"$f":"F447/100","v":1.733219385E-2},{"$f":"H447*((0.1+(2*0.8)))","v":2.9464729545000002E-2}]
["Djibouti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DJI - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.700240135,"Imputation",2.700240135E-2,{"$f":"H448*((0.1+(2*0.7)))","v":4.0503602025000002E-2}]
["Djibouti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DJI - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.7140462400000001,"Imputation",3.7140462399999997E-2,{"$f":"H449*((0.1+(2*0.6)))","v":4.8282601119999997E-2}]
["Djibouti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DJI - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.9224290850000001,"Imputation",4.9224290849999998E-2,{"$f":"H450*((0.1+(2*0.5)))","v":5.4146719935000004E-2}]
["Djibouti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DJI - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.2212157250000004,"Imputation",6.2212157250000004E-2,{"$f":"H451*((0.1+(2*0.4)))","v":5.5990941525000004E-2}]
["Djibouti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DJI - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.2099161150000004,"Imputation",8.2099161150000002E-2,{"$f":"H452*((0.1+(2*0.3)))","v":5.7469412804999995E-2}]
["Djibouti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DJI - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.7668047,"Imputation",0.107668047,{"$f":"H453*((0.1+(2*0.2)))","v":5.3834023500000001E-2}]
["Djibouti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DJI - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.471942899999998,"Imputation",0.16471942899999997,{"$f":"H454*((0.1+(2*0.1)))","v":4.9415828699999997E-2}]
["Djibouti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DJI - ILO - ILO modelled estimates","Decile: Decile 10",2017,44.499896999999997,"Imputation",0.44499896999999999,{"$f":"H455*((0.1+(2*0)))","v":4.4499897000000004E-2},{"$f":"1-(I446+I447+I448+I449+I450+I451+I452+I453+I454+I455)","v":0.55194676618299998}]
["Denmark","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DNK - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.1033256050000002,"Model-based extrapolation",{"$f":"F456/100","v":2.1033256050000001E-2},{"$f":"H456*((0.1+(2*0.9)))","v":3.9963186495000004E-2}]
["Denmark","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DNK - ILO - ILO modelled estimates","Decile: Decile 2",2017,5.0456395150000004,"Model-based extrapolation",{"$f":"F457/100","v":5.0456395150000007E-2},{"$f":"H457*((0.1+(2*0.8)))","v":8.5775871755000024E-2}]
["Denmark","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DNK - ILO - ILO modelled estimates","Decile: Decile 3",2017,6.7161617280000003,"Model-based extrapolation",6.7161617280000002E-2,{"$f":"H458*((0.1+(2*0.7)))","v":0.10074242592}]
["Denmark","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DNK - ILO - ILO modelled estimates","Decile: Decile 4",2017,7.5848121639999997,"Model-based extrapolation",7.5848121640000002E-2,{"$f":"H459*((0.1+(2*0.6)))","v":9.8602558132000001E-2}]
["Denmark","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DNK - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.3558454510000004,"Model-based extrapolation",8.3558454510000005E-2,{"$f":"H460*((0.1+(2*0.5)))","v":9.1914299961000007E-2}]
["Denmark","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DNK - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.1285753249999999,"Model-based extrapolation",9.1285753250000004E-2,{"$f":"H461*((0.1+(2*0.4)))","v":8.2157177925000005E-2}]
["Denmark","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DNK - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.03925037,"Model-based extrapolation",0.1003925037,{"$f":"H462*((0.1+(2*0.3)))","v":7.0274752589999989E-2}]
["Denmark","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DNK - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.30500889,"Model-based extrapolation",0.1130500889,{"$f":"H463*((0.1+(2*0.2)))","v":5.6525044449999999E-2}]
["Denmark","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DNK - ILO - ILO modelled estimates","Decile: Decile 9",2017,13.56114292,"Model-based extrapolation",0.13561142919999999,{"$f":"H464*((0.1+(2*0.1)))","v":4.0683428760000001E-2}]
["Denmark","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DNK - ILO - ILO modelled estimates","Decile: Decile 10",2017,26.160232539999999,"Model-based extrapolation",0.2616023254,{"$f":"H465*((0.1+(2*0)))","v":2.6160232540000002E-2},{"$f":"1-(I456+I457+I458+I459+I460+I461+I462+I463+I464+I465)","v":0.30720102147200001}]
["Dominican Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DOM - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.664058805,"Model-based extrapolation",{"$f":"F466/100","v":1.6640588050000002E-2},{"$f":"H466*((0.1+(2*0.9)))","v":3.1617117295000004E-2}]
["Dominican Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DOM - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.161780834,"Model-based extrapolation",{"$f":"F467/100","v":3.1617808339999998E-2},{"$f":"H467*((0.1+(2*0.8)))","v":5.3750274178000004E-2}]
["Dominican Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DOM - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.2855100630000003,"Model-based extrapolation",4.2855100630000004E-2,{"$f":"H468*((0.1+(2*0.7)))","v":6.4282650945000006E-2}]
["Dominican Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DOM - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.3077783580000002,"Model-based extrapolation",5.3077783580000003E-2,{"$f":"H469*((0.1+(2*0.6)))","v":6.9001118654000007E-2}]
["Dominican Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DOM - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.4716024399999998,"Model-based extrapolation",6.4716024400000002E-2,{"$f":"H470*((0.1+(2*0.5)))","v":7.1187626840000004E-2}]
["Dominican Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DOM - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.7149057389999998,"Model-based extrapolation",7.7149057389999998E-2,{"$f":"H471*((0.1+(2*0.4)))","v":6.9434151651000003E-2}]
["Dominican Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DOM - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.3570394520000004,"Model-based extrapolation",9.3570394520000003E-2,{"$f":"H472*((0.1+(2*0.3)))","v":6.5499276164000003E-2}]
["Dominican Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DOM - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.793171879999999,"Model-based extrapolation",0.11793171879999999,{"$f":"H473*((0.1+(2*0.2)))","v":5.8965859399999994E-2}]
["Dominican Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DOM - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.285144809999998,"Model-based extrapolation",0.16285144809999999,{"$f":"H474*((0.1+(2*0.1)))","v":4.8855434430000004E-2}]
["Dominican Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DOM - ILO - ILO modelled estimates","Decile: Decile 10",2017,33.959011080000003,"Model-based extrapolation",0.33959011080000001,{"$f":"H475*((0.1+(2*0)))","v":3.3959011080000004E-2},{"$f":"1-(I466+I467+I468+I469+I470+I471+I472+I473+I474+I475)","v":0.4334474793630001}]
["Algeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DZA - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.0089429620000001,"Imputation",{"$f":"F476/100","v":1.0089429620000001E-2},{"$f":"H476*((0.1+(2*0.9)))","v":1.9169916278000004E-2}]
["Algeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DZA - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.2933840750000001,"Imputation",{"$f":"F477/100","v":2.293384075E-2},{"$f":"H477*((0.1+(2*0.8)))","v":3.8987529275000002E-2}]
["Algeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DZA - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.4929561609999999,"Imputation",3.492956161E-2,{"$f":"H478*((0.1+(2*0.7)))","v":5.2394342415000003E-2}]
["Algeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DZA - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.646357536,"Imputation",4.6463575360000002E-2,{"$f":"H479*((0.1+(2*0.6)))","v":6.0402647968000003E-2}]
["Algeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DZA - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.80795145,"Imputation",5.8079514499999998E-2,{"$f":"H480*((0.1+(2*0.5)))","v":6.388746595E-2}]
["Algeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DZA - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.1905727390000003,"Imputation",7.1905727390000007E-2,{"$f":"H481*((0.1+(2*0.4)))","v":6.4715154651000015E-2}]
["Algeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DZA - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.8494014740000004,"Imputation",8.8494014740000002E-2,{"$f":"H482*((0.1+(2*0.3)))","v":6.1945810317999998E-2}]
["Algeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DZA - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.37485886,"Imputation",0.11374858859999999,{"$f":"H483*((0.1+(2*0.2)))","v":5.6874294299999996E-2}]
["Algeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DZA - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.51651764,"Imputation",0.1651651764,{"$f":"H484*((0.1+(2*0.1)))","v":4.954955292000001E-2}]
["Algeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","DZA - ILO - ILO modelled estimates","Decile: Decile 10",2017,38.819053650000001,"Imputation",0.38819053650000002,{"$f":"H485*((0.1+(2*0)))","v":3.8819053650000004E-2},{"$f":"1-(I476+I477+I478+I479+I480+I481+I482+I483+I484+I485)","v":0.49325423227499987}]
["Ecuador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ECU - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.66218167500000003,null,{"$f":"F486/100","v":6.6218167500000005E-3},{"$f":"H486*((0.1+(2*0.9)))","v":1.2581451825000001E-2}]
["Ecuador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ECU - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.603107214,null,{"$f":"F487/100","v":1.6031072140000002E-2},{"$f":"H487*((0.1+(2*0.8)))","v":2.7252822638000006E-2}]
["Ecuador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ECU - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.7131206990000001,null,2.713120699E-2,{"$f":"H488*((0.1+(2*0.7)))","v":4.0696810484999998E-2}]
["Ecuador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ECU - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.0582151409999998,null,4.0582151409999996E-2,{"$f":"H489*((0.1+(2*0.6)))","v":5.2756796832999997E-2}]
["Ecuador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ECU - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.7605066300000001,null,5.76050663E-2,{"$f":"H490*((0.1+(2*0.5)))","v":6.3365572930000003E-2}]
["Ecuador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ECU - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.1802282329999993,null,8.180228232999999E-2,{"$f":"H491*((0.1+(2*0.4)))","v":7.3622054096999998E-2}]
["Ecuador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ECU - ILO - ILO modelled estimates","Decile: Decile 7",2017,11.056262970000001,null,0.11056262970000001,{"$f":"H492*((0.1+(2*0.3)))","v":7.7393840790000001E-2}]
["Ecuador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ECU - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.37831688,null,0.13378316879999999,{"$f":"H493*((0.1+(2*0.2)))","v":6.6891584399999995E-2}]
["Ecuador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ECU - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.900899890000002,null,0.17900899890000002,{"$f":"H494*((0.1+(2*0.1)))","v":5.3702699670000013E-2}]
["Ecuador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ECU - ILO - ILO modelled estimates","Decile: Decile 10",2017,34.687160489999997,null,0.34687160489999996,{"$f":"H495*((0.1+(2*0)))","v":3.4687160490000001E-2},{"$f":"1-(I486+I487+I488+I489+I490+I491+I492+I493+I494+I495)","v":0.49704920584199996}]
["Egypt, Arab Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EGY - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.39731556200000001,"Model-based extrapolation",{"$f":"F496/100","v":3.97315562E-3},{"$f":"H496*((0.1+(2*0.9)))","v":7.5489956780000009E-3}]
["Egypt, Arab Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EGY - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.9395551680000001,"Model-based extrapolation",{"$f":"F497/100","v":1.9395551680000001E-2},{"$f":"H497*((0.1+(2*0.8)))","v":3.2972437856000007E-2}]
["Egypt, Arab Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EGY - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.0771894450000001,"Model-based extrapolation",4.0771894449999999E-2,{"$f":"H498*((0.1+(2*0.7)))","v":6.1157841674999998E-2}]
["Egypt, Arab Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EGY - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.8815398219999997,"Model-based extrapolation",5.8815398219999995E-2,{"$f":"H499*((0.1+(2*0.6)))","v":7.6460017685999998E-2}]
["Egypt, Arab Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EGY - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.6001801489999998,"Model-based extrapolation",7.6001801489999993E-2,{"$f":"H500*((0.1+(2*0.5)))","v":8.3601981638999998E-2}]
["Egypt, Arab Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EGY - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.3537836070000004,"Model-based extrapolation",9.3537836070000005E-2,{"$f":"H501*((0.1+(2*0.4)))","v":8.4184052463000009E-2}]
["Egypt, Arab Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EGY - ILO - ILO modelled estimates","Decile: Decile 7",2017,11.22868156,"Model-based extrapolation",0.11228681560000001,{"$f":"H502*((0.1+(2*0.3)))","v":7.8600770919999993E-2}]
["Egypt, Arab Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EGY - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.47290325,"Model-based extrapolation",0.13472903250000001,{"$f":"H503*((0.1+(2*0.2)))","v":6.7364516250000006E-2}]
["Egypt, Arab Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EGY - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.637653350000001,"Model-based extrapolation",0.17637653350000002,{"$f":"H504*((0.1+(2*0.1)))","v":5.2912960050000013E-2}]
["Egypt, Arab Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EGY - ILO - ILO modelled estimates","Decile: Decile 10",2017,28.411205290000002,"Model-based extrapolation",0.28411205290000002,{"$f":"H505*((0.1+(2*0)))","v":2.8411205290000005E-2},{"$f":"1-(I496+I497+I498+I499+I500+I501+I502+I503+I504+I505)","v":0.42678522049300005}]
["Eritrea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ERI - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.438244998,"Imputation",{"$f":"F506/100","v":4.3824499799999996E-3},{"$f":"H506*((0.1+(2*0.9)))","v":8.3266549619999998E-3}]
["Eritrea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ERI - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.89697587499999998,"Imputation",{"$f":"F507/100","v":8.9697587499999992E-3},{"$f":"H507*((0.1+(2*0.8)))","v":1.5248589874999999E-2}]
["Eritrea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ERI - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.4210512639999999,"Imputation",1.4210512639999999E-2,{"$f":"H508*((0.1+(2*0.7)))","v":2.1315768959999998E-2}]
["Eritrea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ERI - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.0967257020000001,"Imputation",2.0967257020000001E-2,{"$f":"H509*((0.1+(2*0.6)))","v":2.7257434126000003E-2}]
["Eritrea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ERI - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.119887114,"Imputation",3.1198871140000001E-2,{"$f":"H510*((0.1+(2*0.5)))","v":3.4318758254000006E-2}]
["Eritrea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ERI - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.3085312839999999,"Imputation",4.3085312840000001E-2,{"$f":"H511*((0.1+(2*0.4)))","v":3.8776781555999999E-2}]
["Eritrea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ERI - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.9492516520000001,"Imputation",5.9492516520000004E-2,{"$f":"H512*((0.1+(2*0.3)))","v":4.1644761564000002E-2}]
["Eritrea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ERI - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.4193143839999998,"Imputation",8.4193143839999998E-2,{"$f":"H513*((0.1+(2*0.2)))","v":4.2096571919999999E-2}]
["Eritrea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ERI - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.50424862,"Imputation",0.14504248620000001,{"$f":"H514*((0.1+(2*0.1)))","v":4.3512745860000014E-2}]
["Eritrea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ERI - ILO - ILO modelled estimates","Decile: Decile 10",2017,58.845775600000003,"Imputation",0.58845775600000005,{"$f":"H515*((0.1+(2*0)))","v":5.8845775600000011E-2},{"$f":"1-(I506+I507+I508+I509+I510+I511+I512+I513+I514+I515)","v":0.66865615732299999}]
["Western Sahara","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESH - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.86199927300000001,"Imputation",{"$f":"F516/100","v":8.6199927299999996E-3},{"$f":"H516*((0.1+(2*0.9)))","v":1.6377986186999999E-2}]
["Western Sahara","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESH - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.9645955559999999,"Imputation",{"$f":"F517/100","v":1.9645955559999997E-2},{"$f":"H517*((0.1+(2*0.8)))","v":3.3398124452000001E-2}]
["Western Sahara","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESH - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.029613495,"Imputation",3.0296134950000001E-2,{"$f":"H518*((0.1+(2*0.7)))","v":4.5444202425000003E-2}]
["Western Sahara","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESH - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.1037106510000001,"Imputation",4.1037106510000004E-2,{"$f":"H519*((0.1+(2*0.6)))","v":5.3348238463000006E-2}]
["Western Sahara","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESH - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.297793865,"Imputation",5.297793865E-2,{"$f":"H520*((0.1+(2*0.5)))","v":5.8275732515000005E-2}]
["Western Sahara","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESH - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.6306066509999999,"Imputation",6.6306066509999997E-2,{"$f":"H521*((0.1+(2*0.4)))","v":5.9675459858999996E-2}]
["Western Sahara","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESH - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.5005483630000001,"Imputation",8.5005483630000003E-2,{"$f":"H522*((0.1+(2*0.3)))","v":5.9503838540999998E-2}]
["Western Sahara","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESH - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.04717827,"Imputation",0.11047178269999999,{"$f":"H523*((0.1+(2*0.2)))","v":5.5235891349999997E-2}]
["Western Sahara","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESH - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.528963090000001,"Imputation",0.16528963090000001,{"$f":"H524*((0.1+(2*0.1)))","v":4.9586889270000011E-2}]
["Western Sahara","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESH - ILO - ILO modelled estimates","Decile: Decile 10",2017,42.034996030000002,"Imputation",0.42034996030000005,{"$f":"H525*((0.1+(2*0)))","v":4.2034996030000008E-2},{"$f":"1-(I516+I517+I518+I519+I520+I521+I522+I523+I524+I525)","v":0.52711864090799998}]
["Spain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESP - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.625407577,"Model-based extrapolation",{"$f":"F526/100","v":1.6254075770000001E-2},{"$f":"H526*((0.1+(2*0.9)))","v":3.0882743963000003E-2}]
["Spain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESP - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.607275724,"Model-based extrapolation",{"$f":"F527/100","v":3.6072757240000003E-2},{"$f":"H527*((0.1+(2*0.8)))","v":6.1323687308000009E-2}]
["Spain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESP - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.1196908949999997,"Model-based extrapolation",5.1196908949999995E-2,{"$f":"H528*((0.1+(2*0.7)))","v":7.6795363424999985E-2}]
["Spain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESP - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.4247608180000002,"Model-based extrapolation",6.4247608179999999E-2,{"$f":"H529*((0.1+(2*0.6)))","v":8.3521890634000007E-2}]
["Spain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESP - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.6458892819999997,"Model-based extrapolation",7.6458892819999999E-2,{"$f":"H530*((0.1+(2*0.5)))","v":8.4104782102000009E-2}]
["Spain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESP - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.0215396880000007,"Model-based extrapolation",9.0215396880000007E-2,{"$f":"H531*((0.1+(2*0.4)))","v":8.1193857192000007E-2}]
["Spain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESP - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.69237423,"Model-based extrapolation",0.1069237423,{"$f":"H532*((0.1+(2*0.3)))","v":7.4846619609999998E-2}]
["Spain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESP - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.89625931,"Model-based extrapolation",0.12896259309999999,{"$f":"H533*((0.1+(2*0.2)))","v":6.4481296549999997E-2}]
["Spain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESP - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.072137829999999,"Model-based extrapolation",0.1607213783,{"$f":"H534*((0.1+(2*0.1)))","v":4.8216413490000005E-2}]
["Spain","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ESP - ILO - ILO modelled estimates","Decile: Decile 10",2017,26.894668580000001,"Model-based extrapolation",0.26894668580000003,{"$f":"H535*((0.1+(2*0)))","v":2.6894668580000003E-2},{"$f":"1-(I526+I527+I528+I529+I530+I531+I532+I533+I534+I535)","v":0.36773867714599995}]
["Estonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EST - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.7985277180000001,"Model-based extrapolation",{"$f":"F536/100","v":1.7985277180000002E-2},{"$f":"H536*((0.1+(2*0.9)))","v":3.4172026642000003E-2}]
["Estonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EST - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.4454164509999998,"Model-based extrapolation",{"$f":"F537/100","v":3.4454164509999996E-2},{"$f":"H537*((0.1+(2*0.8)))","v":5.8572079666999996E-2}]
["Estonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EST - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.509787083,"Model-based extrapolation",4.5097870829999998E-2,{"$f":"H538*((0.1+(2*0.7)))","v":6.7646806244999996E-2}]
["Estonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EST - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.6291990280000004,"Model-based extrapolation",5.6291990280000002E-2,{"$f":"H539*((0.1+(2*0.6)))","v":7.3179587364000001E-2}]
["Estonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EST - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.782952785,"Model-based extrapolation",6.7829527850000002E-2,{"$f":"H540*((0.1+(2*0.5)))","v":7.4612480635000006E-2}]
["Estonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EST - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.2020530699999998,"Model-based extrapolation",8.2020530699999997E-2,{"$f":"H541*((0.1+(2*0.4)))","v":7.3818477630000004E-2}]
["Estonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EST - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.7811031340000003,"Model-based extrapolation",9.7811031340000007E-2,{"$f":"H542*((0.1+(2*0.3)))","v":6.8467721938000006E-2}]
["Estonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EST - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.90093899,"Model-based extrapolation",0.1190093899,{"$f":"H543*((0.1+(2*0.2)))","v":5.9504694949999999E-2}]
["Estonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EST - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.71169853,"Model-based extrapolation",0.15711698529999998,{"$f":"H544*((0.1+(2*0.1)))","v":4.7135095590000002E-2}]
["Estonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","EST - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.238315579999998,"Model-based extrapolation",0.32238315579999999,{"$f":"H545*((0.1+(2*0)))","v":3.2238315580000003E-2},{"$f":"1-(I536+I537+I538+I539+I540+I541+I542+I543+I544+I545)","v":0.41065271375900003}]
["Ethiopia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ETH - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.47612193200000003,"Model-based extrapolation",{"$f":"F546/100","v":4.7612193200000002E-3},{"$f":"H546*((0.1+(2*0.9)))","v":9.0463167080000011E-3}]
["Ethiopia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ETH - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.93675476300000005,"Model-based extrapolation",{"$f":"F547/100","v":9.3675476300000005E-3},{"$f":"H547*((0.1+(2*0.8)))","v":1.5924830971000004E-2}]
["Ethiopia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ETH - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.343494534,"Model-based extrapolation",1.3434945339999999E-2,{"$f":"H548*((0.1+(2*0.7)))","v":2.0152418009999999E-2}]
["Ethiopia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ETH - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.7652074099999999,"Model-based extrapolation",1.7652074099999998E-2,{"$f":"H549*((0.1+(2*0.6)))","v":2.294769633E-2}]
["Ethiopia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ETH - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.477101803,"Model-based extrapolation",2.4771018030000001E-2,{"$f":"H550*((0.1+(2*0.5)))","v":2.7248119833000004E-2}]
["Ethiopia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ETH - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.3686060910000002,"Model-based extrapolation",3.3686060910000003E-2,{"$f":"H551*((0.1+(2*0.4)))","v":3.0317454819000004E-2}]
["Ethiopia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ETH - ILO - ILO modelled estimates","Decile: Decile 7",2017,4.4771552090000002,"Model-based extrapolation",4.477155209E-2,{"$f":"H552*((0.1+(2*0.3)))","v":3.1340086462999996E-2}]
["Ethiopia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ETH - ILO - ILO modelled estimates","Decile: Decile 8",2017,6.2528529170000002,"Model-based extrapolation",6.252852917E-2,{"$f":"H553*((0.1+(2*0.2)))","v":3.1264264585E-2}]
["Ethiopia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ETH - ILO - ILO modelled estimates","Decile: Decile 9",2017,11.517809870000001,"Model-based extrapolation",0.11517809870000001,{"$f":"H554*((0.1+(2*0.1)))","v":3.4553429610000005E-2}]
["Ethiopia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ETH - ILO - ILO modelled estimates","Decile: Decile 10",2017,67.384895319999998,"Model-based extrapolation",0.67384895319999993,{"$f":"H555*((0.1+(2*0)))","v":6.7384895319999999E-2},{"$f":"1-(I546+I547+I548+I549+I550+I551+I552+I553+I554+I555)","v":0.70982048735100001}]
["Finland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FIN - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.886556149,"Model-based extrapolation",{"$f":"F556/100","v":2.886556149E-2},{"$f":"H556*((0.1+(2*0.9)))","v":5.4844566831000002E-2}]
["Finland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FIN - ILO - ILO modelled estimates","Decile: Decile 2",2017,5.3454036709999997,"Model-based extrapolation",{"$f":"F557/100","v":5.345403671E-2},{"$f":"H557*((0.1+(2*0.8)))","v":9.0871862407000015E-2}]
["Finland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FIN - ILO - ILO modelled estimates","Decile: Decile 3",2017,6.5694947240000001,"Model-based extrapolation",6.5694947239999996E-2,{"$f":"H558*((0.1+(2*0.7)))","v":9.8542420859999993E-2}]
["Finland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FIN - ILO - ILO modelled estimates","Decile: Decile 4",2017,7.5040416719999996,"Model-based extrapolation",7.5040416720000003E-2,{"$f":"H559*((0.1+(2*0.6)))","v":9.7552541736000004E-2}]
["Finland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FIN - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.3316707609999998,"Model-based extrapolation",8.3316707609999999E-2,{"$f":"H560*((0.1+(2*0.5)))","v":9.1648378371000011E-2}]
["Finland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FIN - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.2568283079999993,"Model-based extrapolation",9.2568283079999994E-2,{"$f":"H561*((0.1+(2*0.4)))","v":8.3311454771999999E-2}]
["Finland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FIN - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.388607029999999,"Model-based extrapolation",0.10388607029999999,{"$f":"H562*((0.1+(2*0.3)))","v":7.272024920999999E-2}]
["Finland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FIN - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.95143127,"Model-based extrapolation",0.1195143127,{"$f":"H563*((0.1+(2*0.2)))","v":5.975715635E-2}]
["Finland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FIN - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.40048599,"Model-based extrapolation",0.1440048599,{"$f":"H564*((0.1+(2*0.1)))","v":4.320145797000001E-2}]
["Finland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FIN - ILO - ILO modelled estimates","Decile: Decile 10",2017,23.36547852,"Model-based extrapolation",0.23365478519999999,{"$f":"H565*((0.1+(2*0)))","v":2.336547852E-2},{"$f":"1-(I556+I557+I558+I559+I560+I561+I562+I563+I564+I565)","v":0.284184432973}]
["Fiji","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FJI - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.2246896030000001,"Model-based extrapolation",{"$f":"F566/100","v":1.2246896030000001E-2},{"$f":"H566*((0.1+(2*0.9)))","v":2.3269102457000004E-2}]
["Fiji","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FJI - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.426215649,"Model-based extrapolation",{"$f":"F567/100","v":2.4262156489999999E-2},{"$f":"H567*((0.1+(2*0.8)))","v":4.1245666033000006E-2}]
["Fiji","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FJI - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.7136240009999999,"Model-based extrapolation",3.7136240010000002E-2,{"$f":"H568*((0.1+(2*0.7)))","v":5.5704360015000003E-2}]
["Fiji","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FJI - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.1783332819999996,"Model-based extrapolation",5.178333282E-2,{"$f":"H569*((0.1+(2*0.6)))","v":6.7318332666E-2}]
["Fiji","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FJI - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.7400922779999997,"Model-based extrapolation",6.7400922779999997E-2,{"$f":"H570*((0.1+(2*0.5)))","v":7.4141015057999998E-2}]
["Fiji","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FJI - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.5061826709999995,"Model-based extrapolation",8.5061826709999996E-2,{"$f":"H571*((0.1+(2*0.4)))","v":7.6555644039000004E-2}]
["Fiji","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FJI - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.3474903109999996,"Model-based extrapolation",9.3474903109999993E-2,{"$f":"H572*((0.1+(2*0.3)))","v":6.5432432176999997E-2}]
["Fiji","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FJI - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.03930283,"Model-based extrapolation",0.12039302830000001,{"$f":"H573*((0.1+(2*0.2)))","v":6.0196514150000005E-2}]
["Fiji","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FJI - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.32197571,"Model-based extrapolation",0.1632197571,{"$f":"H574*((0.1+(2*0.1)))","v":4.896592713000001E-2}]
["Fiji","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FJI - ILO - ILO modelled estimates","Decile: Decile 10",2017,34.5021019,"Model-based extrapolation",0.34502101899999998,{"$f":"H575*((0.1+(2*0)))","v":3.4502101899999998E-2},{"$f":"1-(I566+I567+I568+I569+I570+I571+I572+I573+I574+I575)","v":0.45266890437499996}]
["France","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FRA - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.3488883970000001,"Model-based extrapolation",{"$f":"F576/100","v":2.3488883969999999E-2},{"$f":"H576*((0.1+(2*0.9)))","v":4.4628879543000002E-2}]
["France","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FRA - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.8016362189999997,"Model-based extrapolation",{"$f":"F577/100","v":4.8016362189999995E-2},{"$f":"H577*((0.1+(2*0.8)))","v":8.1627815723E-2}]
["France","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FRA - ILO - ILO modelled estimates","Decile: Decile 3",2017,6.0028114319999997,"Model-based extrapolation",6.0028114319999999E-2,{"$f":"H578*((0.1+(2*0.7)))","v":9.0042171480000002E-2}]
["France","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FRA - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.9691343310000002,"Model-based extrapolation",6.9691343310000001E-2,{"$f":"H579*((0.1+(2*0.6)))","v":9.0598746303000008E-2}]
["France","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FRA - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.8284492490000002,"Model-based extrapolation",7.8284492489999996E-2,{"$f":"H580*((0.1+(2*0.5)))","v":8.6112941738999998E-2}]
["France","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FRA - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.8150606160000002,"Model-based extrapolation",8.8150606160000006E-2,{"$f":"H581*((0.1+(2*0.4)))","v":7.9335545544000005E-2}]
["France","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FRA - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.09615612,"Model-based extrapolation",0.10096156119999999,{"$f":"H582*((0.1+(2*0.3)))","v":7.0673092839999993E-2}]
["France","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FRA - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.82566452,"Model-based extrapolation",0.1182566452,{"$f":"H583*((0.1+(2*0.2)))","v":5.9128322599999998E-2}]
["France","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FRA - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.683458330000001,"Model-based extrapolation",0.14683458330000002,{"$f":"H584*((0.1+(2*0.1)))","v":4.4050374990000009E-2}]
["France","Labour income distribution -- ILO modelled estimates, July 2019 (%)","FRA - ILO - ILO modelled estimates","Decile: Decile 10",2017,26.628763200000002,"Model-based extrapolation",0.266287632,{"$f":"H585*((0.1+(2*0)))","v":2.6628763200000002E-2},{"$f":"1-(I576+I577+I578+I579+I580+I581+I582+I583+I584+I585)","v":0.32717334603799997}]
["Gabon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GAB - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.0193722249999999,"Imputation",{"$f":"F586/100","v":1.0193722249999999E-2},{"$f":"H586*((0.1+(2*0.9)))","v":1.9368072274999999E-2}]
["Gabon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GAB - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.3036930560000002,"Imputation",{"$f":"F587/100","v":2.3036930560000002E-2},{"$f":"H587*((0.1+(2*0.8)))","v":3.9162781952000007E-2}]
["Gabon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GAB - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.4961395259999999,"Imputation",3.496139526E-2,{"$f":"H588*((0.1+(2*0.7)))","v":5.244209289E-2}]
["Gabon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GAB - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.6366581919999996,"Imputation",4.6366581919999997E-2,{"$f":"H589*((0.1+(2*0.6)))","v":6.0276556496E-2}]
["Gabon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GAB - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.7677969930000001,"Imputation",5.7677969930000003E-2,{"$f":"H590*((0.1+(2*0.5)))","v":6.344576692300001E-2}]
["Gabon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GAB - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.1531744000000002,"Imputation",7.1531744000000008E-2,{"$f":"H591*((0.1+(2*0.4)))","v":6.4378569600000005E-2}]
["Gabon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GAB - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.7056217189999998,"Imputation",8.7056217189999993E-2,{"$f":"H592*((0.1+(2*0.3)))","v":6.0939352032999994E-2}]
["Gabon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GAB - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.214550020000001,"Imputation",0.11214550020000001,{"$f":"H593*((0.1+(2*0.2)))","v":5.6072750100000006E-2}]
["Gabon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GAB - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.29083061,"Imputation",0.16290830610000001,{"$f":"H594*((0.1+(2*0.1)))","v":4.887249183000001E-2}]
["Gabon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GAB - ILO - ILO modelled estimates","Decile: Decile 10",2017,39.412162780000003,"Imputation",0.39412162780000004,{"$f":"H595*((0.1+(2*0)))","v":3.941216278000001E-2},{"$f":"1-(I586+I587+I588+I589+I590+I591+I592+I593+I594+I595)","v":0.4956294031209999}]
["United Kingdom","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GBR - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.508747101,"Model-based extrapolation",{"$f":"F596/100","v":1.5087471009999999E-2},{"$f":"H596*((0.1+(2*0.9)))","v":2.8666194919E-2}]
["United Kingdom","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GBR - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.0821008679999999,"Model-based extrapolation",{"$f":"F597/100","v":3.0821008679999998E-2},{"$f":"H597*((0.1+(2*0.8)))","v":5.2395714756000002E-2}]
["United Kingdom","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GBR - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.4035472870000003,"Model-based extrapolation",4.4035472870000002E-2,{"$f":"H598*((0.1+(2*0.7)))","v":6.6053209304999999E-2}]
["United Kingdom","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GBR - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.5828700070000004,"Model-based extrapolation",5.5828700070000001E-2,{"$f":"H599*((0.1+(2*0.6)))","v":7.2577310091000005E-2}]
["United Kingdom","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GBR - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.8091020579999997,"Model-based extrapolation",6.8091020579999995E-2,{"$f":"H600*((0.1+(2*0.5)))","v":7.4900122638E-2}]
["United Kingdom","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GBR - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.2289581300000005,"Model-based extrapolation",8.2289581300000011E-2,{"$f":"H601*((0.1+(2*0.4)))","v":7.4060623170000006E-2}]
["United Kingdom","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GBR - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.9474792480000005,"Model-based extrapolation",9.9474792480000004E-2,{"$f":"H602*((0.1+(2*0.3)))","v":6.9632354736000004E-2}]
["United Kingdom","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GBR - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.247900960000001,"Model-based extrapolation",0.12247900960000001,{"$f":"H603*((0.1+(2*0.2)))","v":6.1239504800000004E-2}]
["United Kingdom","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GBR - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.76340008,"Model-based extrapolation",0.15763400080000001,{"$f":"H604*((0.1+(2*0.1)))","v":4.729020024000001E-2}]
["United Kingdom","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GBR - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.425899510000001,"Model-based extrapolation",0.3242589951,{"$f":"H605*((0.1+(2*0)))","v":3.2425899510000002E-2},{"$f":"1-(I596+I597+I598+I599+I600+I601+I602+I603+I604+I605)","v":0.420758865835}]
["Georgia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GEO - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.8682073349999999,"Imputation",{"$f":"F606/100","v":1.8682073349999998E-2},{"$f":"H606*((0.1+(2*0.9)))","v":3.5495939365E-2}]
["Georgia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GEO - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.4836189750000002,"Imputation",{"$f":"F607/100","v":3.4836189750000003E-2},{"$f":"H607*((0.1+(2*0.8)))","v":5.9221522575000012E-2}]
["Georgia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GEO - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.4609255790000004,"Imputation",4.4609255790000003E-2,{"$f":"H608*((0.1+(2*0.7)))","v":6.6913883685000008E-2}]
["Georgia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GEO - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.3972520829999997,"Imputation",5.3972520829999995E-2,{"$f":"H609*((0.1+(2*0.6)))","v":7.0164277078999998E-2}]
["Georgia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GEO - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.4742364879999998,"Imputation",6.474236488E-2,{"$f":"H610*((0.1+(2*0.5)))","v":7.121660136800001E-2}]
["Georgia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GEO - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.5069303510000003,"Imputation",7.5069303510000004E-2,{"$f":"H611*((0.1+(2*0.4)))","v":6.7562373159000003E-2}]
["Georgia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GEO - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.9580726619999993,"Imputation",8.9580726619999995E-2,{"$f":"H612*((0.1+(2*0.3)))","v":6.2706508633999999E-2}]
["Georgia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GEO - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.846325869999999,"Imputation",0.1084632587,{"$f":"H613*((0.1+(2*0.2)))","v":5.4231629349999998E-2}]
["Georgia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GEO - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.55382824,"Imputation",0.1455382824,{"$f":"H614*((0.1+(2*0.1)))","v":4.3661484720000004E-2}]
["Georgia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GEO - ILO - ILO modelled estimates","Decile: Decile 10",2017,36.450599670000003,"Imputation",0.3645059967,{"$f":"H615*((0.1+(2*0)))","v":3.645059967E-2},{"$f":"1-(I606+I607+I608+I609+I610+I611+I612+I613+I614+I615)","v":0.432375180395}]
["Ghana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GHA - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.37859910699999999,"Model-based extrapolation",{"$f":"F616/100","v":3.78599107E-3},{"$f":"H616*((0.1+(2*0.9)))","v":7.1933830330000005E-3}]
["Ghana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GHA - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.85344451700000001,"Model-based extrapolation",{"$f":"F617/100","v":8.5344451700000001E-3},{"$f":"H617*((0.1+(2*0.8)))","v":1.4508556789000001E-2}]
["Ghana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GHA - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.339221835,"Model-based extrapolation",1.339221835E-2,{"$f":"H618*((0.1+(2*0.7)))","v":2.0088327525000001E-2}]
["Ghana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GHA - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.8611098530000001,"Model-based extrapolation",1.8611098530000002E-2,{"$f":"H619*((0.1+(2*0.6)))","v":2.4194428089000002E-2}]
["Ghana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GHA - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.581850529,"Model-based extrapolation",2.5818505290000002E-2,{"$f":"H620*((0.1+(2*0.5)))","v":2.8400355819000005E-2}]
["Ghana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GHA - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.652221918,"Model-based extrapolation",3.6522219180000003E-2,{"$f":"H621*((0.1+(2*0.4)))","v":3.2869997262000003E-2}]
["Ghana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GHA - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.3761110309999998,"Model-based extrapolation",5.3761110309999999E-2,{"$f":"H622*((0.1+(2*0.3)))","v":3.7632777216999994E-2}]
["Ghana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GHA - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.9868783949999997,"Model-based extrapolation",8.9868783950000003E-2,{"$f":"H623*((0.1+(2*0.2)))","v":4.4934391975000001E-2}]
["Ghana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GHA - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.453781129999999,"Model-based extrapolation",0.17453781129999998,{"$f":"H624*((0.1+(2*0.1)))","v":5.2361343390000002E-2}]
["Ghana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GHA - ILO - ILO modelled estimates","Decile: Decile 10",2017,57.516777040000001,"Model-based extrapolation",0.5751677704,{"$f":"H625*((0.1+(2*0)))","v":5.7516777040000001E-2},{"$f":"1-(I616+I617+I618+I619+I620+I621+I622+I623+I624+I625)","v":0.68029966186099999}]
["Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GIN - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.217003539,"Imputation",{"$f":"F626/100","v":2.17003539E-3},{"$f":"H626*((0.1+(2*0.9)))","v":4.1230672410000006E-3}]
["Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GIN - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.30005085500000001,"Imputation",{"$f":"F627/100","v":3.0005085500000002E-3},{"$f":"H627*((0.1+(2*0.8)))","v":5.100864535000001E-3}]
["Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GIN - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.39333155800000003,"Imputation",3.93331558E-3,{"$f":"H628*((0.1+(2*0.7)))","v":5.8999733700000005E-3}]
["Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GIN - ILO - ILO modelled estimates","Decile: Decile 4",2017,0.77045524099999996,"Imputation",7.7045524099999992E-3,{"$f":"H629*((0.1+(2*0.6)))","v":1.0015918132999999E-2}]
["Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GIN - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.507318497,"Imputation",1.507318497E-2,{"$f":"H630*((0.1+(2*0.5)))","v":1.6580503467000001E-2}]
["Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GIN - ILO - ILO modelled estimates","Decile: Decile 6",2017,2.6130294799999998,"Imputation",2.6130294799999999E-2,{"$f":"H631*((0.1+(2*0.4)))","v":2.3517265319999998E-2}]
["Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GIN - ILO - ILO modelled estimates","Decile: Decile 7",2017,3.5696291919999998,"Imputation",3.5696291919999998E-2,{"$f":"H632*((0.1+(2*0.3)))","v":2.4987404343999996E-2}]
["Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GIN - ILO - ILO modelled estimates","Decile: Decile 8",2017,5.9053359030000001,"Imputation",5.9053359030000002E-2,{"$f":"H633*((0.1+(2*0.2)))","v":2.9526679515000001E-2}]
["Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GIN - ILO - ILO modelled estimates","Decile: Decile 9",2017,12.04980469,"Imputation",0.1204980469,{"$f":"H634*((0.1+(2*0.1)))","v":3.6149414070000004E-2}]
["Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GIN - ILO - ILO modelled estimates","Decile: Decile 10",2017,72.67404938,"Imputation",0.72674049379999994,{"$f":"H635*((0.1+(2*0)))","v":7.2674049379999994E-2},{"$f":"1-(I626+I627+I628+I629+I630+I631+I632+I633+I634+I635)","v":0.77142486062500004}]
["Gambia, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GMB - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.69361072800000001,"Model-based extrapolation",{"$f":"F636/100","v":6.9361072800000001E-3},{"$f":"H636*((0.1+(2*0.9)))","v":1.3178603832000001E-2}]
["Gambia, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GMB - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.366695166,"Model-based extrapolation",{"$f":"F637/100","v":1.3666951659999999E-2},{"$f":"H637*((0.1+(2*0.8)))","v":2.3233817822E-2}]
["Gambia, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GMB - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.970657587,"Model-based extrapolation",1.970657587E-2,{"$f":"H638*((0.1+(2*0.7)))","v":2.9559863804999999E-2}]
["Gambia, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GMB - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.637624025,"Model-based extrapolation",2.6376240250000002E-2,{"$f":"H639*((0.1+(2*0.6)))","v":3.4289112325000003E-2}]
["Gambia, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GMB - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.4963603019999998,"Model-based extrapolation",3.4963603019999998E-2,{"$f":"H640*((0.1+(2*0.5)))","v":3.8459963322000003E-2}]
["Gambia, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GMB - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.5446453089999999,"Model-based extrapolation",4.5446453089999998E-2,{"$f":"H641*((0.1+(2*0.4)))","v":4.0901807780999999E-2}]
["Gambia, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GMB - ILO - ILO modelled estimates","Decile: Decile 7",2017,6.1759405139999997,"Model-based extrapolation",6.1759405139999994E-2,{"$f":"H642*((0.1+(2*0.3)))","v":4.3231583597999994E-2}]
["Gambia, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GMB - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.5197019580000006,"Model-based extrapolation",8.5197019580000005E-2,{"$f":"H643*((0.1+(2*0.2)))","v":4.2598509790000003E-2}]
["Gambia, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GMB - ILO - ILO modelled estimates","Decile: Decile 9",2017,12.7939539,"Model-based extrapolation",0.12793953899999999,{"$f":"H644*((0.1+(2*0.1)))","v":3.8381861700000006E-2}]
["Gambia, The","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GMB - ILO - ILO modelled estimates","Decile: Decile 10",2017,57.800811770000003,"Model-based extrapolation",0.57800811770000005,{"$f":"H645*((0.1+(2*0)))","v":5.7800811770000009E-2},{"$f":"1-(I636+I637+I638+I639+I640+I641+I642+I643+I644+I645)","v":0.63836406425499992}]
["Guinea-Bissau","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNB - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.42183911800000001,"Imputation",{"$f":"F646/100","v":4.2183911800000003E-3},{"$f":"H646*((0.1+(2*0.9)))","v":8.0149432420000017E-3}]
["Guinea-Bissau","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNB - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.86342418200000004,"Imputation",{"$f":"F647/100","v":8.634241820000001E-3},{"$f":"H647*((0.1+(2*0.8)))","v":1.4678211094000004E-2}]
["Guinea-Bissau","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNB - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.3765182499999999,"Imputation",1.3765182499999999E-2,{"$f":"H648*((0.1+(2*0.7)))","v":2.0647773749999997E-2}]
["Guinea-Bissau","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNB - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.0478253359999998,"Imputation",2.0478253359999997E-2,{"$f":"H649*((0.1+(2*0.6)))","v":2.6621729367999995E-2}]
["Guinea-Bissau","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNB - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.0813014509999999,"Imputation",3.081301451E-2,{"$f":"H650*((0.1+(2*0.5)))","v":3.3894315961000003E-2}]
["Guinea-Bissau","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNB - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.2647104259999997,"Imputation",4.2647104259999999E-2,{"$f":"H651*((0.1+(2*0.4)))","v":3.8382393834000002E-2}]
["Guinea-Bissau","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNB - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.9511547089999999,"Imputation",5.9511547089999998E-2,{"$f":"H652*((0.1+(2*0.3)))","v":4.1658082962999998E-2}]
["Guinea-Bissau","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNB - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.4272260669999994,"Imputation",8.4272260669999988E-2,{"$f":"H653*((0.1+(2*0.2)))","v":4.2136130334999994E-2}]
["Guinea-Bissau","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNB - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.5601368,"Imputation",0.14560136800000001,{"$f":"H654*((0.1+(2*0.1)))","v":4.3680410400000008E-2}]
["Guinea-Bissau","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNB - ILO - ILO modelled estimates","Decile: Decile 10",2017,59.005867000000002,"Imputation",0.59005867000000001,{"$f":"H655*((0.1+(2*0)))","v":5.9005867000000004E-2},{"$f":"1-(I646+I647+I648+I649+I650+I651+I652+I653+I654+I655)","v":0.67128014205300002}]
["Equatorial Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNQ - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.82196193900000003,"Imputation",{"$f":"F656/100","v":8.2196193900000002E-3},{"$f":"H656*((0.1+(2*0.9)))","v":1.5617276841000002E-2}]
["Equatorial Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNQ - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.816857934,"Imputation",{"$f":"F657/100","v":1.8168579340000001E-2},{"$f":"H657*((0.1+(2*0.8)))","v":3.0886584878000004E-2}]
["Equatorial Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNQ - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.7707743640000002,"Imputation",2.7707743640000001E-2,{"$f":"H658*((0.1+(2*0.7)))","v":4.156161546E-2}]
["Equatorial Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNQ - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.740638256,"Imputation",3.740638256E-2,{"$f":"H659*((0.1+(2*0.6)))","v":4.8628297328000003E-2}]
["Equatorial Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNQ - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.8156428340000001,"Imputation",4.8156428340000001E-2,{"$f":"H660*((0.1+(2*0.5)))","v":5.2972071174000004E-2}]
["Equatorial Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNQ - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.1337251659999996,"Imputation",6.1337251659999995E-2,{"$f":"H661*((0.1+(2*0.4)))","v":5.5203526493999996E-2}]
["Equatorial Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNQ - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.6532225609999998,"Imputation",7.6532225610000004E-2,{"$f":"H662*((0.1+(2*0.3)))","v":5.3572557926999997E-2}]
["Equatorial Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNQ - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.138603209999999,"Imputation",0.1013860321,{"$f":"H663*((0.1+(2*0.2)))","v":5.0693016049999998E-2}]
["Equatorial Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNQ - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.529134750000001,"Imputation",0.15529134750000001,{"$f":"H664*((0.1+(2*0.1)))","v":4.6587404250000013E-2}]
["Equatorial Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GNQ - ILO - ILO modelled estimates","Decile: Decile 10",2017,46.579437259999999,"Imputation",0.46579437260000001,{"$f":"H665*((0.1+(2*0)))","v":4.6579437260000002E-2},{"$f":"1-(I656+I657+I658+I659+I660+I661+I662+I663+I664+I665)","v":0.55769821233799988}]
["Greece","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GRC - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.4194955829999998,"Model-based extrapolation",{"$f":"F666/100","v":2.4194955829999996E-2},{"$f":"H666*((0.1+(2*0.9)))","v":4.5970416076999997E-2}]
["Greece","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GRC - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.2219705579999998,"Model-based extrapolation",{"$f":"F667/100","v":4.2219705579999996E-2},{"$f":"H667*((0.1+(2*0.8)))","v":7.1773499485999995E-2}]
["Greece","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GRC - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.5911450389999997,"Model-based extrapolation",5.5911450389999999E-2,{"$f":"H668*((0.1+(2*0.7)))","v":8.3867175584999995E-2}]
["Greece","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GRC - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.8696947100000001,"Model-based extrapolation",6.8696947100000003E-2,{"$f":"H669*((0.1+(2*0.6)))","v":8.9306031230000013E-2}]
["Greece","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GRC - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.0162410739999999,"Model-based extrapolation",8.0162410739999995E-2,{"$f":"H670*((0.1+(2*0.5)))","v":8.8178651814000003E-2}]
["Greece","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GRC - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.2169513700000003,"Model-based extrapolation",9.2169513699999997E-2,{"$f":"H671*((0.1+(2*0.4)))","v":8.2952562329999993E-2}]
["Greece","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GRC - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.55554199,"Model-based extrapolation",0.1055554199,{"$f":"H672*((0.1+(2*0.3)))","v":7.3888793930000002E-2}]
["Greece","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GRC - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.221814159999999,"Model-based extrapolation",0.1222181416,{"$f":"H673*((0.1+(2*0.2)))","v":6.1109070799999998E-2}]
["Greece","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GRC - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.111269950000001,"Model-based extrapolation",0.1511126995,{"$f":"H674*((0.1+(2*0.1)))","v":4.5333809850000011E-2}]
["Greece","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GRC - ILO - ILO modelled estimates","Decile: Decile 10",2017,25.775859830000002,"Model-based extrapolation",0.25775859830000003,{"$f":"H675*((0.1+(2*0)))","v":2.5775859830000004E-2},{"$f":"1-(I666+I667+I668+I669+I670+I671+I672+I673+I674+I675)","v":0.33184412906800009}]
["Guatemala","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GTM - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.92849153299999998,null,{"$f":"F676/100","v":9.284915329999999E-3},{"$f":"H676*((0.1+(2*0.9)))","v":1.7641339127E-2}]
["Guatemala","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GTM - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.0282816889999999,null,{"$f":"F677/100","v":2.0282816889999999E-2},{"$f":"H677*((0.1+(2*0.8)))","v":3.4480788713000005E-2}]
["Guatemala","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GTM - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.1197474000000001,null,3.1197473999999999E-2,{"$f":"H678*((0.1+(2*0.7)))","v":4.6796210999999997E-2}]
["Guatemala","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GTM - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.3194303510000003,null,4.3194303510000004E-2,{"$f":"H679*((0.1+(2*0.6)))","v":5.6152594563000008E-2}]
["Guatemala","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GTM - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.6614031789999997,null,5.6614031789999998E-2,{"$f":"H680*((0.1+(2*0.5)))","v":6.2275434969000003E-2}]
["Guatemala","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GTM - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.3263282780000001,null,7.3263282779999994E-2,{"$f":"H681*((0.1+(2*0.4)))","v":6.5936954502000003E-2}]
["Guatemala","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GTM - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.111755369999999,null,0.10111755369999999,{"$f":"H682*((0.1+(2*0.3)))","v":7.0782287589999993E-2}]
["Guatemala","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GTM - ILO - ILO modelled estimates","Decile: Decile 8",2017,14.068987849999999,null,0.1406898785,{"$f":"H683*((0.1+(2*0.2)))","v":7.0344939250000002E-2}]
["Guatemala","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GTM - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.351591110000001,null,0.18351591110000001,{"$f":"H684*((0.1+(2*0.1)))","v":5.5054773330000015E-2}]
["Guatemala","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GTM - ILO - ILO modelled estimates","Decile: Decile 10",2017,34.083969119999999,null,0.34083969120000002,{"$f":"H685*((0.1+(2*0)))","v":3.4083969120000002E-2},{"$f":"1-(I676+I677+I678+I679+I680+I681+I682+I683+I684+I685)","v":0.48645070783599986}]
["Guam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUM - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.112944961,"Imputation",{"$f":"F686/100","v":1.112944961E-2},{"$f":"H686*((0.1+(2*0.9)))","v":2.1145954259E-2}]
["Guam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUM - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.536262512,"Imputation",{"$f":"F687/100","v":2.5362625119999999E-2},{"$f":"H687*((0.1+(2*0.8)))","v":4.3116462704000005E-2}]
["Guam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUM - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.941939831,"Imputation",3.9419398309999999E-2,{"$f":"H688*((0.1+(2*0.7)))","v":5.9129097465000002E-2}]
["Guam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUM - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.4026775359999997,"Imputation",5.4026775359999994E-2,{"$f":"H689*((0.1+(2*0.6)))","v":7.0234807967999996E-2}]
["Guam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUM - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.8321695330000001,"Imputation",6.8321695330000001E-2,{"$f":"H690*((0.1+(2*0.5)))","v":7.5153864863000006E-2}]
["Guam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUM - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.731884956,"Imputation",8.7318849559999995E-2,{"$f":"H691*((0.1+(2*0.4)))","v":7.8586964603999998E-2}]
["Guam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUM - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.911976810000001,"Imputation",0.1091197681,{"$f":"H692*((0.1+(2*0.3)))","v":7.6383837669999996E-2}]
["Guam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUM - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.929913519999999,"Imputation",0.13929913520000001,{"$f":"H693*((0.1+(2*0.2)))","v":6.9649567600000004E-2}]
["Guam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUM - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.200239180000001,"Imputation",0.1820023918,{"$f":"H694*((0.1+(2*0.1)))","v":5.460071754000001E-2}]
["Guam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUM - ILO - ILO modelled estimates","Decile: Decile 10",2017,28.39997864,"Imputation",0.28399978640000001,{"$f":"H695*((0.1+(2*0)))","v":2.8399978640000004E-2},{"$f":"1-(I686+I687+I688+I689+I690+I691+I692+I693+I694+I695)","v":0.42359874668699993}]
["Guyana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUY - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.089317203,null,{"$f":"F696/100","v":1.089317203E-2},{"$f":"H696*((0.1+(2*0.9)))","v":2.0697026857000003E-2}]
["Guyana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUY - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.0628771779999999,null,{"$f":"F697/100","v":3.0628771779999998E-2},{"$f":"H697*((0.1+(2*0.8)))","v":5.2068912026000003E-2}]
["Guyana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUY - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.6694726940000004,null,4.6694726940000007E-2,{"$f":"H698*((0.1+(2*0.7)))","v":7.0042090410000007E-2}]
["Guyana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUY - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.1692180629999998,null,6.1692180629999996E-2,{"$f":"H699*((0.1+(2*0.6)))","v":8.019983481899999E-2}]
["Guyana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUY - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.7964825629999996,null,7.7964825629999998E-2,{"$f":"H700*((0.1+(2*0.5)))","v":8.5761308192999999E-2}]
["Guyana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUY - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.2122564320000002,null,9.2122564320000003E-2,{"$f":"H701*((0.1+(2*0.4)))","v":8.2910307888000009E-2}]
["Guyana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUY - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.653994559999999,null,0.10653994559999999,{"$f":"H702*((0.1+(2*0.3)))","v":7.4577961919999991E-2}]
["Guyana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUY - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.22162724,null,0.12221627240000001,{"$f":"H703*((0.1+(2*0.2)))","v":6.1108136200000003E-2}]
["Guyana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUY - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.23722839,null,0.15237228390000002,{"$f":"H704*((0.1+(2*0.1)))","v":4.5711685170000009E-2}]
["Guyana","Labour income distribution -- ILO modelled estimates, July 2019 (%)","GUY - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.887536999999998,null,0.29887536999999997,{"$f":"H705*((0.1+(2*0)))","v":2.9887536999999999E-2},{"$f":"1-(I696+I697+I698+I699+I700+I701+I702+I703+I704+I705)","v":0.39703519951699995}]
["Hong Kong SAR, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HKG - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.1469385620000001,"Imputation",{"$f":"F706/100","v":1.1469385620000001E-2},{"$f":"H706*((0.1+(2*0.9)))","v":2.1791832678000004E-2}]
["Hong Kong SAR, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HKG - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.619273663,"Imputation",{"$f":"F707/100","v":2.6192736630000001E-2},{"$f":"H707*((0.1+(2*0.8)))","v":4.4527652271000008E-2}]
["Hong Kong SAR, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HKG - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.0648999210000003,"Imputation",4.0648999210000002E-2,{"$f":"H708*((0.1+(2*0.7)))","v":6.0973498814999999E-2}]
["Hong Kong SAR, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HKG - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.5536789889999998,"Imputation",5.553678989E-2,{"$f":"H709*((0.1+(2*0.6)))","v":7.2197826857000005E-2}]
["Hong Kong SAR, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HKG - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.9908361430000001,"Imputation",6.9908361429999996E-2,{"$f":"H710*((0.1+(2*0.5)))","v":7.6899197572999997E-2}]
["Hong Kong SAR, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HKG - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.9017343520000001,"Imputation",8.901734352E-2,{"$f":"H711*((0.1+(2*0.4)))","v":8.0115609168000007E-2}]
["Hong Kong SAR, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HKG - ILO - ILO modelled estimates","Decile: Decile 7",2017,11.081251139999999,"Imputation",0.11081251139999999,{"$f":"H712*((0.1+(2*0.3)))","v":7.7568757979999986E-2}]
["Hong Kong SAR, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HKG - ILO - ILO modelled estimates","Decile: Decile 8",2017,14.10188007,"Imputation",0.1410188007,{"$f":"H713*((0.1+(2*0.2)))","v":7.0509400350000001E-2}]
["Hong Kong SAR, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HKG - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.318426129999999,"Imputation",0.18318426129999998,{"$f":"H714*((0.1+(2*0.1)))","v":5.4955278390000001E-2}]
["Hong Kong SAR, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HKG - ILO - ILO modelled estimates","Decile: Decile 10",2017,27.221082689999999,"Imputation",0.27221082689999998,{"$f":"H715*((0.1+(2*0)))","v":2.7221082689999999E-2},{"$f":"1-(I706+I707+I708+I709+I710+I711+I712+I713+I714+I715)","v":0.41323986322799999}]
["Honduras","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HND - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.88981109899999999,"Model-based extrapolation",{"$f":"F716/100","v":8.8981109899999994E-3},{"$f":"H716*((0.1+(2*0.9)))","v":1.6906410880999999E-2}]
["Honduras","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HND - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.08161211,"Model-based extrapolation",{"$f":"F717/100","v":2.0816121100000001E-2},{"$f":"H717*((0.1+(2*0.8)))","v":3.5387405870000006E-2}]
["Honduras","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HND - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.256059885,"Model-based extrapolation",3.2560598849999997E-2,{"$f":"H718*((0.1+(2*0.7)))","v":4.8840898274999996E-2}]
["Honduras","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HND - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.5494546890000001,"Model-based extrapolation",4.5494546890000001E-2,{"$f":"H719*((0.1+(2*0.6)))","v":5.9142910957E-2}]
["Honduras","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HND - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.8484191890000004,"Model-based extrapolation",5.8484191890000002E-2,{"$f":"H720*((0.1+(2*0.5)))","v":6.4332611079000013E-2}]
["Honduras","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HND - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.5948162080000001,"Model-based extrapolation",7.5948162080000006E-2,{"$f":"H721*((0.1+(2*0.4)))","v":6.835334587200001E-2}]
["Honduras","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HND - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.241434099999999,"Model-based extrapolation",0.10241434099999999,{"$f":"H722*((0.1+(2*0.3)))","v":7.1690038699999986E-2}]
["Honduras","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HND - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.69849586,"Model-based extrapolation",0.13698495859999998,{"$f":"H723*((0.1+(2*0.2)))","v":6.8492479299999992E-2}]
["Honduras","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HND - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.638725279999999,"Model-based extrapolation",0.17638725280000001,{"$f":"H724*((0.1+(2*0.1)))","v":5.291617584000001E-2}]
["Honduras","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HND - ILO - ILO modelled estimates","Decile: Decile 10",2017,34.201171879999997,"Model-based extrapolation",0.34201171879999998,{"$f":"H725*((0.1+(2*0)))","v":3.4201171879999999E-2},{"$f":"1-(I716+I717+I718+I719+I720+I721+I722+I723+I724+I725)","v":0.47973655134599991}]
["Croatia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HRV - ILO - ILO modelled estimates","Decile: Decile 1",2017,3.2913937569999998,"Model-based extrapolation",{"$f":"F726/100","v":3.2913937569999996E-2},{"$f":"H726*((0.1+(2*0.9)))","v":6.2536481382999998E-2}]
["Croatia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HRV - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.9862823489999997,"Model-based extrapolation",{"$f":"F727/100","v":4.9862823489999999E-2},{"$f":"H727*((0.1+(2*0.8)))","v":8.4766799933000014E-2}]
["Croatia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HRV - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.8455862999999999,"Model-based extrapolation",5.8455862999999997E-2,{"$f":"H728*((0.1+(2*0.7)))","v":8.7683794499999995E-2}]
["Croatia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HRV - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.4428577420000002,"Model-based extrapolation",6.4428577420000008E-2,{"$f":"H729*((0.1+(2*0.6)))","v":8.375715064600002E-2}]
["Croatia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HRV - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.3157844540000001,"Model-based extrapolation",7.3157844540000003E-2,{"$f":"H730*((0.1+(2*0.5)))","v":8.0473628994000013E-2}]
["Croatia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HRV - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.5119447709999996,"Model-based extrapolation",8.511944770999999E-2,{"$f":"H731*((0.1+(2*0.4)))","v":7.6607502938999997E-2}]
["Croatia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HRV - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.9947404859999995,"Model-based extrapolation",9.9947404859999991E-2,{"$f":"H732*((0.1+(2*0.3)))","v":6.9963183401999987E-2}]
["Croatia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HRV - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.92590141,"Model-based extrapolation",0.1192590141,{"$f":"H733*((0.1+(2*0.2)))","v":5.9629507050000002E-2}]
["Croatia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HRV - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.420693399999999,"Model-based extrapolation",0.14420693399999998,{"$f":"H734*((0.1+(2*0.1)))","v":4.3262080200000004E-2}]
["Croatia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HRV - ILO - ILO modelled estimates","Decile: Decile 10",2017,27.264812469999999,"Model-based extrapolation",0.27264812469999999,{"$f":"H735*((0.1+(2*0)))","v":2.726481247E-2},{"$f":"1-(I726+I727+I728+I729+I730+I731+I732+I733+I734+I735)","v":0.32405505848299998}]
["Haiti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HTI - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.35211446899999999,"Imputation",{"$f":"F736/100","v":3.5211446899999998E-3},{"$f":"H736*((0.1+(2*0.9)))","v":6.6901749110000004E-3}]
["Haiti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HTI - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.69905400299999998,"Imputation",{"$f":"F737/100","v":6.9905400299999998E-3},{"$f":"H737*((0.1+(2*0.8)))","v":1.1883918051000001E-2}]
["Haiti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HTI - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.196066141,"Imputation",1.196066141E-2,{"$f":"H738*((0.1+(2*0.7)))","v":1.7940992114999998E-2}]
["Haiti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HTI - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.8753700259999999,"Imputation",1.8753700259999999E-2,{"$f":"H739*((0.1+(2*0.6)))","v":2.4379810337999998E-2}]
["Haiti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HTI - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.0106592179999998,"Imputation",3.0106592179999999E-2,{"$f":"H740*((0.1+(2*0.5)))","v":3.3117251398000001E-2}]
["Haiti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HTI - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.4821290969999996,"Imputation",4.4821290969999997E-2,{"$f":"H741*((0.1+(2*0.4)))","v":4.0339161872999997E-2}]
["Haiti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HTI - ILO - ILO modelled estimates","Decile: Decile 7",2017,6.2746162410000004,"Imputation",6.274616241E-2,{"$f":"H742*((0.1+(2*0.3)))","v":4.3922313686999996E-2}]
["Haiti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HTI - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.6335372919999998,"Imputation",8.633537292E-2,{"$f":"H743*((0.1+(2*0.2)))","v":4.316768646E-2}]
["Haiti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HTI - ILO - ILO modelled estimates","Decile: Decile 9",2017,13.692617419999999,"Imputation",0.1369261742,{"$f":"H744*((0.1+(2*0.1)))","v":4.1077852260000006E-2}]
["Haiti","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HTI - ILO - ILO modelled estimates","Decile: Decile 10",2017,59.783821109999998,"Imputation",0.59783821110000002,{"$f":"H745*((0.1+(2*0)))","v":5.9783821110000003E-2},{"$f":"1-(I736+I737+I738+I739+I740+I741+I742+I743+I744+I745)","v":0.67769701779699998}]
["Hungary","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HUN - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.9267432690000001,"Model-based extrapolation",{"$f":"F746/100","v":2.9267432690000001E-2},{"$f":"H746*((0.1+(2*0.9)))","v":5.5608122111000004E-2}]
["Hungary","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HUN - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.9526481630000001,"Model-based extrapolation",{"$f":"F747/100","v":4.9526481630000001E-2},{"$f":"H747*((0.1+(2*0.8)))","v":8.419501877100001E-2}]
["Hungary","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HUN - ILO - ILO modelled estimates","Decile: Decile 3",2017,6.0630826950000003,"Model-based extrapolation",6.0630826950000001E-2,{"$f":"H748*((0.1+(2*0.7)))","v":9.0946240425000005E-2}]
["Hungary","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HUN - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.8489856720000004,"Model-based extrapolation",6.8489856720000006E-2,{"$f":"H749*((0.1+(2*0.6)))","v":8.9036813736000017E-2}]
["Hungary","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HUN - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.8071584700000001,"Model-based extrapolation",7.8071584700000002E-2,{"$f":"H750*((0.1+(2*0.5)))","v":8.5878743170000008E-2}]
["Hungary","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HUN - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.0677614210000002,"Model-based extrapolation",9.0677614210000007E-2,{"$f":"H751*((0.1+(2*0.4)))","v":8.1609852789000015E-2}]
["Hungary","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HUN - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.7108326,"Model-based extrapolation",0.107108326,{"$f":"H752*((0.1+(2*0.3)))","v":7.4975828199999997E-2}]
["Hungary","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HUN - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.3777256,"Model-based extrapolation",0.123777256,{"$f":"H753*((0.1+(2*0.2)))","v":6.1888628000000001E-2}]
["Hungary","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HUN - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.89693928,"Model-based extrapolation",0.14896939279999999,{"$f":"H754*((0.1+(2*0.1)))","v":4.4690817840000001E-2}]
["Hungary","Labour income distribution -- ILO modelled estimates, July 2019 (%)","HUN - ILO - ILO modelled estimates","Decile: Decile 10",2017,24.348131179999999,"Model-based extrapolation",0.24348131179999999,{"$f":"H755*((0.1+(2*0)))","v":2.434813118E-2},{"$f":"1-(I746+I747+I748+I749+I750+I751+I752+I753+I754+I755)","v":0.30682180377800006}]
["Indonesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IDN - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.35284841099999997,null,{"$f":"F756/100","v":3.5284841099999997E-3},{"$f":"H756*((0.1+(2*0.9)))","v":6.7041198089999995E-3}]
["Indonesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IDN - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.022196651,null,{"$f":"F757/100","v":1.022196651E-2},{"$f":"H757*((0.1+(2*0.8)))","v":1.7377343067000003E-2}]
["Indonesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IDN - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.909084558,null,1.9090845580000002E-2,{"$f":"H758*((0.1+(2*0.7)))","v":2.8636268370000002E-2}]
["Indonesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IDN - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.0435626509999998,null,3.0435626509999997E-2,{"$f":"H759*((0.1+(2*0.6)))","v":3.9566314462999998E-2}]
["Indonesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IDN - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.5058546069999998,null,4.5058546069999997E-2,{"$f":"H760*((0.1+(2*0.5)))","v":4.9564400676999999E-2}]
["Indonesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IDN - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.5494070049999999,null,6.5494070050000006E-2,{"$f":"H761*((0.1+(2*0.4)))","v":5.8944663045000005E-2}]
["Indonesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IDN - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.4299325940000003,null,9.4299325939999998E-2,{"$f":"H762*((0.1+(2*0.3)))","v":6.6009528158E-2}]
["Indonesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IDN - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.17911816,null,0.1317911816,{"$f":"H763*((0.1+(2*0.2)))","v":6.5895590800000001E-2}]
["Indonesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IDN - ILO - ILO modelled estimates","Decile: Decile 9",2017,19.20923805,null,0.19209238049999999,{"$f":"H764*((0.1+(2*0.1)))","v":5.7627714150000009E-2}]
["Indonesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IDN - ILO - ILO modelled estimates","Decile: Decile 10",2017,40.798774719999997,null,0.40798774719999997,{"$f":"H765*((0.1+(2*0)))","v":4.079877472E-2},{"$f":"1-(I756+I757+I758+I759+I760+I761+I762+I763+I764+I765)","v":0.56887528274099997}]
["India","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IND - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.24581845099999999,"Model-based extrapolation",{"$f":"F766/100","v":2.4581845100000001E-3},{"$f":"H766*((0.1+(2*0.9)))","v":4.6705505690000006E-3}]
["India","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IND - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.63128382000000005,"Model-based extrapolation",{"$f":"F767/100","v":6.3128382000000004E-3},{"$f":"H767*((0.1+(2*0.8)))","v":1.0731824940000002E-2}]
["India","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IND - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.0074369910000001,"Model-based extrapolation",1.007436991E-2,{"$f":"H768*((0.1+(2*0.7)))","v":1.5111554865000001E-2}]
["India","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IND - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.3275178670000001,"Model-based extrapolation",1.327517867E-2,{"$f":"H769*((0.1+(2*0.6)))","v":1.7257732271000002E-2}]
["India","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IND - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.921555519,"Model-based extrapolation",1.9215555190000001E-2,{"$f":"H770*((0.1+(2*0.5)))","v":2.1137110709000002E-2}]
["India","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IND - ILO - ILO modelled estimates","Decile: Decile 6",2017,2.6734449859999998,"Model-based extrapolation",2.6734449859999999E-2,{"$f":"H771*((0.1+(2*0.4)))","v":2.4061004873999998E-2}]
["India","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IND - ILO - ILO modelled estimates","Decile: Decile 7",2017,3.6520094869999999,"Model-based extrapolation",3.6520094869999999E-2,{"$f":"H772*((0.1+(2*0.3)))","v":2.5564066408999997E-2}]
["India","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IND - ILO - ILO modelled estimates","Decile: Decile 8",2017,5.5850205419999996,"Model-based extrapolation",5.5850205419999993E-2,{"$f":"H773*((0.1+(2*0.2)))","v":2.7925102709999997E-2}]
["India","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IND - ILO - ILO modelled estimates","Decile: Decile 9",2017,13.532060619999999,"Model-based extrapolation",0.1353206062,{"$f":"H774*((0.1+(2*0.1)))","v":4.0596181860000004E-2}]
["India","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IND - ILO - ILO modelled estimates","Decile: Decile 10",2017,69.423858640000006,"Model-based extrapolation",0.69423858640000002,{"$f":"H775*((0.1+(2*0)))","v":6.9423858640000002E-2},{"$f":"1-(I766+I767+I768+I769+I770+I771+I772+I773+I774+I775)","v":0.74352101215300004}]
["Ireland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRL - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.2240421769999998,"Imputation",{"$f":"F776/100","v":2.2240421769999998E-2},{"$f":"H776*((0.1+(2*0.9)))","v":4.2256801363000002E-2}]
["Ireland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRL - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.313992023,"Imputation",{"$f":"F777/100","v":4.3139920229999996E-2},{"$f":"H777*((0.1+(2*0.8)))","v":7.3337864390999999E-2}]
["Ireland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRL - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.6620092389999996,"Imputation",5.6620092389999994E-2,{"$f":"H778*((0.1+(2*0.7)))","v":8.4930138584999995E-2}]
["Ireland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRL - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.8332996369999996,"Imputation",6.8332996369999996E-2,{"$f":"H779*((0.1+(2*0.6)))","v":8.8832895280999996E-2}]
["Ireland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRL - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.8828043939999999,"Imputation",7.8828043939999995E-2,{"$f":"H780*((0.1+(2*0.5)))","v":8.6710848334000001E-2}]
["Ireland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRL - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.0436697010000007,"Imputation",9.0436697010000011E-2,{"$f":"H781*((0.1+(2*0.4)))","v":8.1393027309000013E-2}]
["Ireland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRL - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.12678814,"Imputation",0.10126788140000001,{"$f":"H782*((0.1+(2*0.3)))","v":7.0887516979999995E-2}]
["Ireland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRL - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.99791336,"Imputation",0.1199791336,{"$f":"H783*((0.1+(2*0.2)))","v":5.9989566799999998E-2}]
["Ireland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRL - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.94472122,"Imputation",0.14944721220000001,{"$f":"H784*((0.1+(2*0.1)))","v":4.4834163660000009E-2}]
["Ireland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRL - ILO - ILO modelled estimates","Decile: Decile 10",2017,26.970746989999999,"Imputation",0.2697074699,{"$f":"H785*((0.1+(2*0)))","v":2.6970746990000002E-2},{"$f":"1-(I776+I777+I778+I779+I780+I781+I782+I783+I784+I785)","v":0.33985643030699997}]
["Iran, Islamic Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRN - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.894232213,"Imputation",{"$f":"F786/100","v":8.9423221299999994E-3},{"$f":"H786*((0.1+(2*0.9)))","v":1.6990412047000001E-2}]
["Iran, Islamic Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRN - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.0100951189999998,"Imputation",{"$f":"F787/100","v":2.0100951189999997E-2},{"$f":"H787*((0.1+(2*0.8)))","v":3.4171617022999999E-2}]
["Iran, Islamic Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRN - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.1689472200000002,"Imputation",3.1689472199999999E-2,{"$f":"H788*((0.1+(2*0.7)))","v":4.7534208299999998E-2}]
["Iran, Islamic Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRN - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.4606919290000002,"Imputation",4.4606919290000005E-2,{"$f":"H789*((0.1+(2*0.6)))","v":5.7988995077000005E-2}]
["Iran, Islamic Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRN - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.8581132890000003,"Imputation",5.8581132890000005E-2,{"$f":"H790*((0.1+(2*0.5)))","v":6.4439246179000015E-2}]
["Iran, Islamic Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRN - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.6866364479999998,"Imputation",7.6866364480000005E-2,{"$f":"H791*((0.1+(2*0.4)))","v":6.917972803200001E-2}]
["Iran, Islamic Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRN - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.9261875150000005,"Imputation",9.9261875150000012E-2,{"$f":"H792*((0.1+(2*0.3)))","v":6.9483312605E-2}]
["Iran, Islamic Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRN - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.93601608,"Imputation",0.12936016080000001,{"$f":"H793*((0.1+(2*0.2)))","v":6.4680080400000006E-2}]
["Iran, Islamic Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRN - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.59260368,"Imputation",0.17592603679999999,{"$f":"H794*((0.1+(2*0.1)))","v":5.2777811040000004E-2}]
["Iran, Islamic Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRN - ILO - ILO modelled estimates","Decile: Decile 10",2017,35.466476440000001,"Imputation",0.3546647644,{"$f":"H795*((0.1+(2*0)))","v":3.5466476439999998E-2},{"$f":"1-(I786+I787+I788+I789+I790+I791+I792+I793+I794+I795)","v":0.48728811285699991}]
["Iraq","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRQ - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.0273067950000001,"Imputation",{"$f":"F796/100","v":1.0273067950000001E-2},{"$f":"H796*((0.1+(2*0.9)))","v":1.9518829105000003E-2}]
["Iraq","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRQ - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.3353548050000001,"Imputation",{"$f":"F797/100","v":2.3353548050000002E-2},{"$f":"H797*((0.1+(2*0.8)))","v":3.9701031685000006E-2}]
["Iraq","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRQ - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.5528707499999999,"Imputation",3.5528707499999999E-2,{"$f":"H798*((0.1+(2*0.7)))","v":5.3293061249999996E-2}]
["Iraq","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRQ - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.7174344059999997,"Imputation",4.7174344059999998E-2,{"$f":"H799*((0.1+(2*0.6)))","v":6.1326647278000003E-2}]
["Iraq","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRQ - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.8770580289999996,"Imputation",5.8770580289999999E-2,{"$f":"H800*((0.1+(2*0.5)))","v":6.4647638319E-2}]
["Iraq","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRQ - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.2657680510000002,"Imputation",7.2657680510000003E-2,{"$f":"H801*((0.1+(2*0.4)))","v":6.5391912459000001E-2}]
["Iraq","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRQ - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.9043931959999991,"Imputation",8.9043931959999989E-2,{"$f":"H802*((0.1+(2*0.3)))","v":6.233075237199999E-2}]
["Iraq","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRQ - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.428215979999999,"Imputation",0.11428215979999999,{"$f":"H803*((0.1+(2*0.2)))","v":5.7141079899999996E-2}]
["Iraq","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRQ - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.530145650000001,"Imputation",0.16530145650000003,{"$f":"H804*((0.1+(2*0.1)))","v":4.9590436950000018E-2}]
["Iraq","Labour income distribution -- ILO modelled estimates, July 2019 (%)","IRQ - ILO - ILO modelled estimates","Decile: Decile 10",2017,38.361446379999997,"Imputation",0.38361446379999997,{"$f":"H805*((0.1+(2*0)))","v":3.8361446379999997E-2},{"$f":"1-(I796+I797+I798+I799+I800+I801+I802+I803+I804+I805)","v":0.48869716430199994}]
["Iceland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISL - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.0450112819999999,"Model-based extrapolation",{"$f":"F806/100","v":2.0450112819999998E-2},{"$f":"H806*((0.1+(2*0.9)))","v":3.8855214357999997E-2}]
["Iceland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISL - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.0573358539999997,"Model-based extrapolation",{"$f":"F807/100","v":4.057335854E-2},{"$f":"H807*((0.1+(2*0.8)))","v":6.8974709518000013E-2}]
["Iceland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISL - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.5127687449999998,"Model-based extrapolation",5.5127687449999997E-2,{"$f":"H808*((0.1+(2*0.7)))","v":8.2691531174999999E-2}]
["Iceland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISL - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.7889966959999999,"Model-based extrapolation",6.7889966959999992E-2,{"$f":"H809*((0.1+(2*0.6)))","v":8.825695704799999E-2}]
["Iceland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISL - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.9718966480000004,"Model-based extrapolation",7.971896648E-2,{"$f":"H810*((0.1+(2*0.5)))","v":8.7690863128000007E-2}]
["Iceland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISL - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.1380319599999993,"Model-based extrapolation",9.1380319599999996E-2,{"$f":"H811*((0.1+(2*0.4)))","v":8.2242287639999995E-2}]
["Iceland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISL - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.46426582,"Model-based extrapolation",0.1046426582,{"$f":"H812*((0.1+(2*0.3)))","v":7.3249860739999992E-2}]
["Iceland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISL - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.280714039999999,"Model-based extrapolation",0.1228071404,{"$f":"H813*((0.1+(2*0.2)))","v":6.14035702E-2}]
["Iceland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISL - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.268149380000001,"Model-based extrapolation",0.15268149380000001,{"$f":"H814*((0.1+(2*0.1)))","v":4.5804448140000009E-2}]
["Iceland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISL - ILO - ILO modelled estimates","Decile: Decile 10",2017,26.472810750000001,"Model-based extrapolation",0.26472810750000003,{"$f":"H815*((0.1+(2*0)))","v":2.6472810750000006E-2},{"$f":"1-(I806+I807+I808+I809+I810+I811+I812+I813+I814+I815)","v":0.34435774730300006}]
["Israel","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISR - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.1765625480000002,"Imputation",{"$f":"F816/100","v":2.1765625480000002E-2},{"$f":"H816*((0.1+(2*0.9)))","v":4.1354688412000004E-2}]
["Israel","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISR - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.2264790530000003,"Imputation",{"$f":"F817/100","v":4.2264790530000006E-2},{"$f":"H817*((0.1+(2*0.8)))","v":7.1850143901000016E-2}]
["Israel","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISR - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.5545210840000001,"Imputation",5.5545210839999998E-2,{"$f":"H818*((0.1+(2*0.7)))","v":8.3317816259999997E-2}]
["Israel","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISR - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.7291507719999997,"Imputation",6.7291507719999991E-2,{"$f":"H819*((0.1+(2*0.6)))","v":8.7478960035999989E-2}]
["Israel","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISR - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.8403239249999999,"Imputation",7.8403239249999992E-2,{"$f":"H820*((0.1+(2*0.5)))","v":8.6243563174999996E-2}]
["Israel","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISR - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.9826459879999998,"Imputation",8.9826459880000001E-2,{"$f":"H821*((0.1+(2*0.4)))","v":8.0843813892000002E-2}]
["Israel","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISR - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.30569172,"Imputation",0.1030569172,{"$f":"H822*((0.1+(2*0.3)))","v":7.2139842039999999E-2}]
["Israel","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISR - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.207432750000001,"Imputation",0.12207432750000001,{"$f":"H823*((0.1+(2*0.2)))","v":6.1037163750000005E-2}]
["Israel","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISR - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.34223175,"Imputation",0.15342231749999999,{"$f":"H824*((0.1+(2*0.1)))","v":4.6026695250000006E-2}]
["Israel","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ISR - ILO - ILO modelled estimates","Decile: Decile 10",2017,26.63496971,"Imputation",0.2663496971,{"$f":"H825*((0.1+(2*0)))","v":2.6634969710000001E-2},{"$f":"1-(I816+I817+I818+I819+I820+I821+I822+I823+I824+I825)","v":0.34307234357399996}]
["Italy","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ITA - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.1778161530000002,"Model-based extrapolation",{"$f":"F826/100","v":2.1778161530000003E-2},{"$f":"H826*((0.1+(2*0.9)))","v":4.1378506907000005E-2}]
["Italy","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ITA - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.9073450570000001,"Model-based extrapolation",{"$f":"F827/100","v":3.9073450570000001E-2},{"$f":"H827*((0.1+(2*0.8)))","v":6.6424865969000005E-2}]
["Italy","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ITA - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.3498005869999998,"Model-based extrapolation",5.3498005869999997E-2,{"$f":"H828*((0.1+(2*0.7)))","v":8.0247008804999992E-2}]
["Italy","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ITA - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.6479606630000001,"Model-based extrapolation",6.6479606630000007E-2,{"$f":"H829*((0.1+(2*0.6)))","v":8.6423488619000011E-2}]
["Italy","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ITA - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.7379550930000001,"Model-based extrapolation",7.7379550929999999E-2,{"$f":"H830*((0.1+(2*0.5)))","v":8.5117506023E-2}]
["Italy","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ITA - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.7897882460000005,"Model-based extrapolation",8.7897882460000007E-2,{"$f":"H831*((0.1+(2*0.4)))","v":7.9108094214000002E-2}]
["Italy","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ITA - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.9930591579999994,"Model-based extrapolation",9.9930591579999992E-2,{"$f":"H832*((0.1+(2*0.3)))","v":6.995141410599999E-2}]
["Italy","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ITA - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.69772053,"Model-based extrapolation",0.1169772053,{"$f":"H833*((0.1+(2*0.2)))","v":5.8488602649999999E-2}]
["Italy","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ITA - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.62152195,"Model-based extrapolation",0.14621521949999999,{"$f":"H834*((0.1+(2*0.1)))","v":4.3864565850000002E-2}]
["Italy","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ITA - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.077026369999999,"Model-based extrapolation",0.29077026369999998,{"$f":"H835*((0.1+(2*0)))","v":2.9077026369999998E-2},{"$f":"1-(I826+I827+I828+I829+I830+I831+I832+I833+I834+I835)","v":0.35991892048700003}]
["Jamaica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JAM - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.94549751299999996,"Imputation",{"$f":"F836/100","v":9.4549751299999995E-3},{"$f":"H836*((0.1+(2*0.9)))","v":1.7964452746999999E-2}]
["Jamaica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JAM - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.2010774610000001,"Imputation",{"$f":"F837/100","v":2.2010774610000002E-2},{"$f":"H837*((0.1+(2*0.8)))","v":3.7418316837000011E-2}]
["Jamaica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JAM - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.4680809969999999,"Imputation",3.4680809969999997E-2,{"$f":"H838*((0.1+(2*0.7)))","v":5.2021214954999992E-2}]
["Jamaica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JAM - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.7127633089999996,"Imputation",4.7127633089999996E-2,{"$f":"H839*((0.1+(2*0.6)))","v":6.1265923016999999E-2}]
["Jamaica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JAM - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.1122016910000001,"Imputation",6.112201691E-2,{"$f":"H840*((0.1+(2*0.5)))","v":6.7234218601000012E-2}]
["Jamaica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JAM - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.7873725890000003,"Imputation",7.7873725890000009E-2,{"$f":"H841*((0.1+(2*0.4)))","v":7.0086353301000007E-2}]
["Jamaica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JAM - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.9657564159999996,"Imputation",9.965756415999999E-2,{"$f":"H842*((0.1+(2*0.3)))","v":6.976029491199999E-2}]
["Jamaica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JAM - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.44316959,"Imputation",0.1244316959,{"$f":"H843*((0.1+(2*0.2)))","v":6.221584795E-2}]
["Jamaica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JAM - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.690919879999999,"Imputation",0.16690919879999999,{"$f":"H844*((0.1+(2*0.1)))","v":5.0072759640000006E-2}]
["Jamaica","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JAM - ILO - ILO modelled estimates","Decile: Decile 10",2017,35.673164370000002,"Imputation",0.35673164370000005,{"$f":"H845*((0.1+(2*0)))","v":3.5673164370000003E-2},{"$f":"1-(I836+I837+I838+I839+I840+I841+I842+I843+I844+I845)","v":0.47628745367000003}]
["Jordan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JOR - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.0182452200000001,"Imputation",{"$f":"F846/100","v":1.0182452200000001E-2},{"$f":"H846*((0.1+(2*0.9)))","v":1.9346659180000003E-2}]
["Jordan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JOR - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.3609528540000002,"Imputation",{"$f":"F847/100","v":2.3609528540000001E-2},{"$f":"H847*((0.1+(2*0.8)))","v":4.0136198518000009E-2}]
["Jordan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JOR - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.6288857459999999,"Imputation",3.6288857459999997E-2,{"$f":"H848*((0.1+(2*0.7)))","v":5.4433286189999999E-2}]
["Jordan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JOR - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.8537225719999997,"Imputation",4.8537225719999993E-2,{"$f":"H849*((0.1+(2*0.6)))","v":6.3098393435999989E-2}]
["Jordan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JOR - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.1187863350000002,"Imputation",6.1187863350000003E-2,{"$f":"H850*((0.1+(2*0.5)))","v":6.7306649685000011E-2}]
["Jordan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JOR - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.5027570719999996,"Imputation",7.5027570719999992E-2,{"$f":"H851*((0.1+(2*0.4)))","v":6.752481364799999E-2}]
["Jordan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JOR - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.4761438370000004,"Imputation",9.4761438370000006E-2,{"$f":"H852*((0.1+(2*0.3)))","v":6.6333006858999996E-2}]
["Jordan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JOR - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.05407333,"Imputation",0.12054073329999999,{"$f":"H853*((0.1+(2*0.2)))","v":6.0270366649999997E-2}]
["Jordan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JOR - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.321872710000001,"Imputation",0.1732187271,{"$f":"H854*((0.1+(2*0.1)))","v":5.1965618130000009E-2}]
["Jordan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JOR - ILO - ILO modelled estimates","Decile: Decile 10",2017,35.664566039999997,"Imputation",0.35664566039999995,{"$f":"H855*((0.1+(2*0)))","v":3.5664566039999998E-2},{"$f":"1-(I846+I847+I848+I849+I850+I851+I852+I853+I854+I855)","v":0.47392044166399994}]
["Japan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JPN - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.102302313,"Imputation",{"$f":"F856/100","v":1.102302313E-2},{"$f":"H856*((0.1+(2*0.9)))","v":2.0943743947000003E-2}]
["Japan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JPN - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.5278203490000002,"Imputation",{"$f":"F857/100","v":2.5278203490000001E-2},{"$f":"H857*((0.1+(2*0.8)))","v":4.2972945933000009E-2}]
["Japan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JPN - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.9437110419999999,"Imputation",3.9437110419999998E-2,{"$f":"H858*((0.1+(2*0.7)))","v":5.9155665629999993E-2}]
["Japan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JPN - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.4212307930000003,"Imputation",5.4212307930000002E-2,{"$f":"H859*((0.1+(2*0.6)))","v":7.0476000309000003E-2}]
["Japan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JPN - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.887050629,"Imputation",6.8870506289999994E-2,{"$f":"H860*((0.1+(2*0.5)))","v":7.5757556919000005E-2}]
["Japan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JPN - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.785457611,"Imputation",8.7854576109999999E-2,{"$f":"H861*((0.1+(2*0.4)))","v":7.9069118499000002E-2}]
["Japan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JPN - ILO - ILO modelled estimates","Decile: Decile 7",2017,11.09035587,"Imputation",0.1109035587,{"$f":"H862*((0.1+(2*0.3)))","v":7.7632491089999991E-2}]
["Japan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JPN - ILO - ILO modelled estimates","Decile: Decile 8",2017,14.12892246,"Imputation",0.14128922460000001,{"$f":"H863*((0.1+(2*0.2)))","v":7.0644612300000006E-2}]
["Japan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JPN - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.474456790000001,"Imputation",0.18474456790000002,{"$f":"H864*((0.1+(2*0.1)))","v":5.5423370370000016E-2}]
["Japan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","JPN - ILO - ILO modelled estimates","Decile: Decile 10",2017,27.638689039999999,"Imputation",0.27638689039999997,{"$f":"H865*((0.1+(2*0)))","v":2.7638689039999997E-2},{"$f":"1-(I856+I857+I858+I859+I860+I861+I862+I863+I864+I865)","v":0.42028580596299991}]
["Kazakhstan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KAZ - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.0872385499999999,"Imputation",{"$f":"F866/100","v":2.08723855E-2},{"$f":"H866*((0.1+(2*0.9)))","v":3.9657532450000005E-2}]
["Kazakhstan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KAZ - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.0090279579999999,"Imputation",{"$f":"F867/100","v":4.0090279579999999E-2},{"$f":"H867*((0.1+(2*0.8)))","v":6.8153475286000006E-2}]
["Kazakhstan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KAZ - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.2326078410000001,"Imputation",5.2326078410000004E-2,{"$f":"H868*((0.1+(2*0.7)))","v":7.8489117615000006E-2}]
["Kazakhstan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KAZ - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.3348388670000002,"Imputation",6.3348388670000005E-2,{"$f":"H869*((0.1+(2*0.6)))","v":8.2352905271000004E-2}]
["Kazakhstan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KAZ - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.4304795270000001,"Imputation",7.4304795270000001E-2,{"$f":"H870*((0.1+(2*0.5)))","v":8.1735274797000004E-2}]
["Kazakhstan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KAZ - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.5411844250000009,"Imputation",8.5411844250000007E-2,{"$f":"H871*((0.1+(2*0.4)))","v":7.6870659825000007E-2}]
["Kazakhstan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KAZ - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.8828182219999992,"Imputation",9.8828182219999991E-2,{"$f":"H872*((0.1+(2*0.3)))","v":6.9179727553999995E-2}]
["Kazakhstan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KAZ - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.777902600000001,"Imputation",0.11777902600000001,{"$f":"H873*((0.1+(2*0.2)))","v":5.8889513000000004E-2}]
["Kazakhstan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KAZ - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.0702076,"Imputation",0.15070207599999999,{"$f":"H874*((0.1+(2*0.1)))","v":4.5210622800000003E-2}]
["Kazakhstan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KAZ - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.633693699999998,"Imputation",0.29633693699999997,{"$f":"H875*((0.1+(2*0)))","v":2.9633693699999998E-2},{"$f":"1-(I866+I867+I868+I869+I870+I871+I872+I873+I874+I875)","v":0.36982747770199997}]
["Kenya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KEN - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.67048263500000005,"Imputation",{"$f":"F876/100","v":6.7048263500000009E-3},{"$f":"H876*((0.1+(2*0.9)))","v":1.2739170065000003E-2}]
["Kenya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KEN - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.494146347,"Imputation",{"$f":"F877/100","v":1.4941463470000001E-2},{"$f":"H877*((0.1+(2*0.8)))","v":2.5400487899000006E-2}]
["Kenya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KEN - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.3301289079999998,"Imputation",2.3301289079999999E-2,{"$f":"H878*((0.1+(2*0.7)))","v":3.495193362E-2}]
["Kenya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KEN - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.2413053509999998,"Imputation",3.2413053509999998E-2,{"$f":"H879*((0.1+(2*0.6)))","v":4.2136969562999997E-2}]
["Kenya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KEN - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.3835225109999998,"Imputation",4.3835225110000001E-2,{"$f":"H880*((0.1+(2*0.5)))","v":4.8218747621000008E-2}]
["Kenya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KEN - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.6526012420000002,"Imputation",5.6526012420000001E-2,{"$f":"H881*((0.1+(2*0.4)))","v":5.0873411178000004E-2}]
["Kenya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KEN - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.5036101339999997,"Imputation",7.5036101339999994E-2,{"$f":"H882*((0.1+(2*0.3)))","v":5.2525270937999996E-2}]
["Kenya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KEN - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.02956867,"Imputation",0.1002956867,{"$f":"H883*((0.1+(2*0.2)))","v":5.0147843349999999E-2}]
["Kenya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KEN - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.822187420000001,"Imputation",0.1582218742,{"$f":"H884*((0.1+(2*0.1)))","v":4.7466562260000005E-2}]
["Kenya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KEN - ILO - ILO modelled estimates","Decile: Decile 10",2017,48.872436520000001,"Imputation",0.48872436520000001,{"$f":"H885*((0.1+(2*0)))","v":4.8872436520000007E-2},{"$f":"1-(I876+I877+I878+I879+I880+I881+I882+I883+I884+I885)","v":0.58666716698599997}]
["Kyrgyz Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KGZ - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.8485972879999999,"Imputation",{"$f":"F886/100","v":1.848597288E-2},{"$f":"H886*((0.1+(2*0.9)))","v":3.5123348472E-2}]
["Kyrgyz Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KGZ - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.505266905,"Imputation",{"$f":"F887/100","v":3.5052669049999999E-2},{"$f":"H887*((0.1+(2*0.8)))","v":5.9589537385000002E-2}]
["Kyrgyz Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KGZ - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.5474977489999997,"Imputation",4.5474977489999999E-2,{"$f":"H888*((0.1+(2*0.7)))","v":6.8212466234999991E-2}]
["Kyrgyz Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KGZ - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.5711879729999998,"Imputation",5.5711879729999997E-2,{"$f":"H889*((0.1+(2*0.6)))","v":7.2425443648999999E-2}]
["Kyrgyz Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KGZ - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.8172111510000004,"Imputation",6.8172111510000008E-2,{"$f":"H890*((0.1+(2*0.5)))","v":7.4989322661000016E-2}]
["Kyrgyz Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KGZ - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.8499679569999996,"Imputation",7.8499679569999994E-2,{"$f":"H891*((0.1+(2*0.4)))","v":7.0649711613000002E-2}]
["Kyrgyz Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KGZ - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.8612699510000006,"Imputation",9.8612699510000013E-2,{"$f":"H892*((0.1+(2*0.3)))","v":6.9028889657000006E-2}]
["Kyrgyz Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KGZ - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.83213711,"Imputation",0.1183213711,{"$f":"H893*((0.1+(2*0.2)))","v":5.9160685550000001E-2}]
["Kyrgyz Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KGZ - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.83069897,"Imputation",0.15830698970000001,{"$f":"H894*((0.1+(2*0.1)))","v":4.749209691000001E-2}]
["Kyrgyz Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KGZ - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.33615494,"Imputation",0.3233615494,{"$f":"H895*((0.1+(2*0)))","v":3.233615494E-2},{"$f":"1-(I886+I887+I888+I889+I890+I891+I892+I893+I894+I895)","v":0.41099234292800002}]
["Cambodia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KHM - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.66646504399999995,"Imputation",{"$f":"F896/100","v":6.6646504399999994E-3},{"$f":"H896*((0.1+(2*0.9)))","v":1.2662835835999999E-2}]
["Cambodia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KHM - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.5352056030000001,"Imputation",{"$f":"F897/100","v":1.535205603E-2},{"$f":"H897*((0.1+(2*0.8)))","v":2.6098495251000001E-2}]
["Cambodia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KHM - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.5316891670000001,"Imputation",2.5316891670000001E-2,{"$f":"H898*((0.1+(2*0.7)))","v":3.7975337504999998E-2}]
["Cambodia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KHM - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.7540428640000001,"Imputation",3.7540428639999998E-2,{"$f":"H899*((0.1+(2*0.6)))","v":4.8802557231999999E-2}]
["Cambodia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KHM - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.2796583180000001,"Imputation",5.2796583180000002E-2,{"$f":"H900*((0.1+(2*0.5)))","v":5.807624149800001E-2}]
["Cambodia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KHM - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.0434951779999997,"Imputation",7.0434951779999991E-2,{"$f":"H901*((0.1+(2*0.4)))","v":6.339145660199999E-2}]
["Cambodia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KHM - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.8646078110000008,"Imputation",9.8646078110000007E-2,{"$f":"H902*((0.1+(2*0.3)))","v":6.9052254677000005E-2}]
["Cambodia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KHM - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.956075670000001,"Imputation",0.1295607567,{"$f":"H903*((0.1+(2*0.2)))","v":6.4780378350000001E-2}]
["Cambodia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KHM - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.238374709999999,"Imputation",0.18238374709999999,{"$f":"H904*((0.1+(2*0.1)))","v":5.4715124130000008E-2}]
["Cambodia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KHM - ILO - ILO modelled estimates","Decile: Decile 10",2017,38.130386350000002,"Imputation",0.38130386350000001,{"$f":"H905*((0.1+(2*0)))","v":3.8130386350000003E-2},{"$f":"1-(I896+I897+I898+I899+I900+I901+I902+I903+I904+I905)","v":0.52631493256899997}]
["Korea, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KOR - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.0461019279999999,"Imputation",{"$f":"F906/100","v":1.0461019279999999E-2},{"$f":"H906*((0.1+(2*0.9)))","v":1.9875936632000001E-2}]
["Korea, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KOR - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.3767714500000001,"Imputation",{"$f":"F907/100","v":2.3767714500000002E-2},{"$f":"H907*((0.1+(2*0.8)))","v":4.0405114650000011E-2}]
["Korea, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KOR - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.7087202069999998,"Imputation",3.7087202069999999E-2,{"$f":"H908*((0.1+(2*0.7)))","v":5.5630803105000001E-2}]
["Korea, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KOR - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.1197314260000004,"Imputation",5.1197314260000001E-2,{"$f":"H909*((0.1+(2*0.6)))","v":6.6556508538000006E-2}]
["Korea, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KOR - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.5423331259999999,"Imputation",6.5423331259999995E-2,{"$f":"H910*((0.1+(2*0.5)))","v":7.1965664385999994E-2}]
["Korea, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KOR - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.4204616550000004,"Imputation",8.420461655E-2,{"$f":"H911*((0.1+(2*0.4)))","v":7.5784154894999997E-2}]
["Korea, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KOR - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.62809086,"Imputation",0.1062809086,{"$f":"H912*((0.1+(2*0.3)))","v":7.439663601999999E-2}]
["Korea, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KOR - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.64517307,"Imputation",0.1364517307,{"$f":"H913*((0.1+(2*0.2)))","v":6.8225865349999998E-2}]
["Korea, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KOR - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.037574769999999,"Imputation",0.18037574769999998,{"$f":"H914*((0.1+(2*0.1)))","v":5.4112724309999999E-2}]
["Korea, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KOR - ILO - ILO modelled estimates","Decile: Decile 10",2017,30.475055690000001,"Imputation",0.30475055690000002,{"$f":"H915*((0.1+(2*0)))","v":3.0475055690000002E-2},{"$f":"1-(I906+I907+I908+I909+I910+I911+I912+I913+I914+I915)","v":0.44257153642400004}]
["Kuwait","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KWT - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.2934100630000001,"Imputation",{"$f":"F916/100","v":1.2934100630000001E-2},{"$f":"H916*((0.1+(2*0.9)))","v":2.4574791197000002E-2}]
["Kuwait","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KWT - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.9293665889999998,"Imputation",{"$f":"F917/100","v":2.9293665889999997E-2},{"$f":"H917*((0.1+(2*0.8)))","v":4.9799232013000003E-2}]
["Kuwait","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KWT - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.3913698200000004,"Imputation",4.3913698200000004E-2,{"$f":"H918*((0.1+(2*0.7)))","v":6.5870547299999999E-2}]
["Kuwait","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KWT - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.6966409679999996,"Imputation",5.6966409679999996E-2,{"$f":"H919*((0.1+(2*0.6)))","v":7.4056332584000004E-2}]
["Kuwait","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KWT - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.7950806620000002,"Imputation",6.7950806619999998E-2,{"$f":"H920*((0.1+(2*0.5)))","v":7.4745887282000004E-2}]
["Kuwait","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KWT - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.271183014,"Imputation",8.2711830139999998E-2,{"$f":"H921*((0.1+(2*0.4)))","v":7.4440647126000001E-2}]
["Kuwait","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KWT - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.5218868259999994,"Imputation",9.5218868259999992E-2,{"$f":"H922*((0.1+(2*0.3)))","v":6.6653207781999985E-2}]
["Kuwait","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KWT - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.00092983,"Imputation",0.12000929830000001,{"$f":"H923*((0.1+(2*0.2)))","v":6.0004649150000006E-2}]
["Kuwait","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KWT - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.481643680000001,"Imputation",0.16481643680000002,{"$f":"H924*((0.1+(2*0.1)))","v":4.9444931040000015E-2}]
["Kuwait","Labour income distribution -- ILO modelled estimates, July 2019 (%)","KWT - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.618488309999996,"Imputation",0.32618488309999999,{"$f":"H925*((0.1+(2*0)))","v":3.2618488309999999E-2},{"$f":"1-(I916+I917+I918+I919+I920+I921+I922+I923+I924+I925)","v":0.42779128621599993}]
["Lao PDR","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LAO - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.48290717599999999,"Imputation",{"$f":"F926/100","v":4.8290717600000003E-3},{"$f":"H926*((0.1+(2*0.9)))","v":9.1752363440000019E-3}]
["Lao PDR","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LAO - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.96690654799999998,"Imputation",{"$f":"F927/100","v":9.6690654799999991E-3},{"$f":"H927*((0.1+(2*0.8)))","v":1.6437411315999999E-2}]
["Lao PDR","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LAO - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.5920464990000001,"Imputation",1.5920464990000001E-2,{"$f":"H928*((0.1+(2*0.7)))","v":2.3880697485000001E-2}]
["Lao PDR","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LAO - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.4876980780000002,"Imputation",2.4876980780000002E-2,{"$f":"H929*((0.1+(2*0.6)))","v":3.2340075014000005E-2}]
["Lao PDR","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LAO - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.7061548229999999,"Imputation",3.7061548229999998E-2,{"$f":"H930*((0.1+(2*0.5)))","v":4.0767703053000003E-2}]
["Lao PDR","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LAO - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.3938493730000001,"Imputation",5.3938493730000002E-2,{"$f":"H931*((0.1+(2*0.4)))","v":4.8544644357000004E-2}]
["Lao PDR","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LAO - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.3636612890000004,"Imputation",7.3636612890000008E-2,{"$f":"H932*((0.1+(2*0.3)))","v":5.1545629023E-2}]
["Lao PDR","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LAO - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.292099,"Imputation",0.10292099,{"$f":"H933*((0.1+(2*0.2)))","v":5.1460495000000002E-2}]
["Lao PDR","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LAO - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.51104355,"Imputation",0.1551104355,{"$f":"H934*((0.1+(2*0.1)))","v":4.6533130650000011E-2}]
["Lao PDR","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LAO - ILO - ILO modelled estimates","Decile: Decile 10",2017,52.203628539999997,"Imputation",0.52203628540000002,{"$f":"H935*((0.1+(2*0)))","v":5.2203628540000005E-2},{"$f":"1-(I926+I927+I928+I929+I930+I931+I932+I933+I934+I935)","v":0.62711134921799994}]
["Lebanon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBN - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.99481105800000003,"Imputation",{"$f":"F936/100","v":9.9481105800000007E-3},{"$f":"H936*((0.1+(2*0.9)))","v":1.8901410102000003E-2}]
["Lebanon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBN - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.2448453900000001,"Imputation",{"$f":"F937/100","v":2.2448453900000002E-2},{"$f":"H937*((0.1+(2*0.8)))","v":3.8162371630000004E-2}]
["Lebanon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBN - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.4098205570000002,"Imputation",3.4098205570000005E-2,{"$f":"H938*((0.1+(2*0.7)))","v":5.1147308355000004E-2}]
["Lebanon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBN - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.5315556529999999,"Imputation",4.5315556529999995E-2,{"$f":"H939*((0.1+(2*0.6)))","v":5.8910223488999998E-2}]
["Lebanon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBN - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.6594467159999997,"Imputation",5.6594467159999995E-2,{"$f":"H940*((0.1+(2*0.5)))","v":6.2253913876000003E-2}]
["Lebanon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBN - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.0365414619999997,"Imputation",7.0365414619999997E-2,{"$f":"H941*((0.1+(2*0.4)))","v":6.3328873157999996E-2}]
["Lebanon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBN - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.5969781879999996,"Imputation",8.5969781879999999E-2,{"$f":"H942*((0.1+(2*0.3)))","v":6.0178847315999998E-2}]
["Lebanon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBN - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.10496521,"Imputation",0.11104965209999999,{"$f":"H943*((0.1+(2*0.2)))","v":5.5524826049999997E-2}]
["Lebanon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBN - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.225797650000001,"Imputation",0.16225797650000001,{"$f":"H944*((0.1+(2*0.1)))","v":4.8677392950000009E-2}]
["Lebanon","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBN - ILO - ILO modelled estimates","Decile: Decile 10",2017,40.195251460000001,"Imputation",0.40195251460000003,{"$f":"H945*((0.1+(2*0)))","v":4.0195251460000005E-2},{"$f":"1-(I936+I937+I938+I939+I940+I941+I942+I943+I944+I945)","v":0.50271958161399999}]
["Liberia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBR - ILO - ILO modelled estimates","Decile: Decile 1",2017,4.5241578999999997E-2,"Model-based extrapolation",{"$f":"F946/100","v":4.5241578999999994E-4},{"$f":"H946*((0.1+(2*0.9)))","v":8.5959000099999992E-4}]
["Liberia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBR - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.194390059,"Model-based extrapolation",{"$f":"F947/100","v":1.94390059E-3},{"$f":"H947*((0.1+(2*0.8)))","v":3.3046310030000001E-3}]
["Liberia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBR - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.35539406499999998,"Model-based extrapolation",3.5539406499999998E-3,{"$f":"H948*((0.1+(2*0.7)))","v":5.3309109749999995E-3}]
["Liberia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBR - ILO - ILO modelled estimates","Decile: Decile 4",2017,0.49912062299999999,"Model-based extrapolation",4.9912062299999997E-3,{"$f":"H949*((0.1+(2*0.6)))","v":6.4885680990000002E-3}]
["Liberia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBR - ILO - ILO modelled estimates","Decile: Decile 5",2017,0.76961022599999995,"Model-based extrapolation",7.6961022599999996E-3,{"$f":"H950*((0.1+(2*0.5)))","v":8.4657124860000009E-3}]
["Liberia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBR - ILO - ILO modelled estimates","Decile: Decile 6",2017,1.139823437,"Model-based extrapolation",1.139823437E-2,{"$f":"H951*((0.1+(2*0.4)))","v":1.0258410932999999E-2}]
["Liberia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBR - ILO - ILO modelled estimates","Decile: Decile 7",2017,1.719770789,"Model-based extrapolation",1.719770789E-2,{"$f":"H952*((0.1+(2*0.3)))","v":1.2038395523E-2}]
["Liberia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBR - ILO - ILO modelled estimates","Decile: Decile 8",2017,3.4587683679999999,"Model-based extrapolation",3.4587683680000002E-2,{"$f":"H953*((0.1+(2*0.2)))","v":1.7293841840000001E-2}]
["Liberia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBR - ILO - ILO modelled estimates","Decile: Decile 9",2017,9.6398687360000004,"Model-based extrapolation",9.6398687359999999E-2,{"$f":"H954*((0.1+(2*0.1)))","v":2.8919606208000003E-2}]
["Liberia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBR - ILO - ILO modelled estimates","Decile: Decile 10",2017,82.178009029999998,"Model-based extrapolation",0.82178009029999999,{"$f":"H955*((0.1+(2*0)))","v":8.2178009029999999E-2},{"$f":"1-(I946+I947+I948+I949+I950+I951+I952+I953+I954+I955)","v":0.82486232390199998}]
["Libya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBY - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.144854069,"Imputation",{"$f":"F956/100","v":1.144854069E-2},{"$f":"H956*((0.1+(2*0.9)))","v":2.1752227311000003E-2}]
["Libya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBY - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.6281445030000001,"Imputation",{"$f":"F957/100","v":2.6281445030000003E-2},{"$f":"H957*((0.1+(2*0.8)))","v":4.4678456551000008E-2}]
["Libya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBY - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.9914102549999999,"Imputation",3.9914102549999997E-2,{"$f":"H958*((0.1+(2*0.7)))","v":5.9871153824999995E-2}]
["Libya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBY - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.2617149349999996,"Imputation",5.2617149349999996E-2,{"$f":"H959*((0.1+(2*0.6)))","v":6.8402294155000001E-2}]
["Libya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBY - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.4616632459999996,"Imputation",6.461663245999999E-2,{"$f":"H960*((0.1+(2*0.5)))","v":7.1078295705999994E-2}]
["Libya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBY - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.8899812699999998,"Imputation",7.8899812700000002E-2,{"$f":"H961*((0.1+(2*0.4)))","v":7.1009831430000003E-2}]
["Libya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBY - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.5685930250000002,"Imputation",9.5685930249999995E-2,{"$f":"H962*((0.1+(2*0.3)))","v":6.6980151174999988E-2}]
["Libya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBY - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.10977364,"Imputation",0.1210977364,{"$f":"H963*((0.1+(2*0.2)))","v":6.0548868200000001E-2}]
["Libya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBY - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.03373337,"Imputation",0.17033733370000001,{"$f":"H964*((0.1+(2*0.1)))","v":5.1101200110000009E-2}]
["Libya","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LBY - ILO - ILO modelled estimates","Decile: Decile 10",2017,33.910129550000001,"Imputation",0.33910129550000001,{"$f":"H965*((0.1+(2*0)))","v":3.3910129550000001E-2},{"$f":"1-(I956+I957+I958+I959+I960+I961+I962+I963+I964+I965)","v":0.4506673919869999}]
["St. Lucia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LCA - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.0150355099999999,"Imputation",{"$f":"F966/100","v":1.0150355099999999E-2},{"$f":"H966*((0.1+(2*0.9)))","v":1.9285674690000001E-2}]
["St. Lucia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LCA - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.3523216250000001,"Imputation",{"$f":"F967/100","v":2.3523216249999999E-2},{"$f":"H967*((0.1+(2*0.8)))","v":3.9989467625000004E-2}]
["St. Lucia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LCA - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.6771666999999999,"Imputation",3.6771667000000001E-2,{"$f":"H968*((0.1+(2*0.7)))","v":5.5157500499999998E-2}]
["St. Lucia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LCA - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.9529604909999998,"Imputation",4.9529604909999997E-2,{"$f":"H969*((0.1+(2*0.6)))","v":6.4388486383000001E-2}]
["St. Lucia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LCA - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.3277678489999998,"Imputation",6.3277678490000003E-2,{"$f":"H970*((0.1+(2*0.5)))","v":6.960544633900001E-2}]
["St. Lucia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LCA - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.0242624280000001,"Imputation",8.0242624280000008E-2,{"$f":"H971*((0.1+(2*0.4)))","v":7.2218361852000007E-2}]
["St. Lucia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LCA - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.071871760000001,"Imputation",0.10071871760000001,{"$f":"H972*((0.1+(2*0.3)))","v":7.0503102319999997E-2}]
["St. Lucia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LCA - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.53472328,"Imputation",0.12534723279999999,{"$f":"H973*((0.1+(2*0.2)))","v":6.2673616399999993E-2}]
["St. Lucia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LCA - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.61283302,"Imputation",0.16612833020000001,{"$f":"H974*((0.1+(2*0.1)))","v":4.9838499060000006E-2}]
["St. Lucia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LCA - ILO - ILO modelled estimates","Decile: Decile 10",2017,34.431049350000002,"Imputation",0.34431049350000004,{"$f":"H975*((0.1+(2*0)))","v":3.4431049350000006E-2},{"$f":"1-(I966+I967+I968+I969+I970+I971+I972+I973+I974+I975)","v":0.46190879548099995}]
["Sri Lanka","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LKA - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.69980722699999998,"Model-based extrapolation",{"$f":"F976/100","v":6.9980722699999999E-3},{"$f":"H976*((0.1+(2*0.9)))","v":1.3296337313000001E-2}]
["Sri Lanka","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LKA - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.8750844,"Model-based extrapolation",{"$f":"F977/100","v":1.8750843999999999E-2},{"$f":"H977*((0.1+(2*0.8)))","v":3.1876434799999999E-2}]
["Sri Lanka","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LKA - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.1604461669999999,"Model-based extrapolation",3.160446167E-2,{"$f":"H978*((0.1+(2*0.7)))","v":4.7406692505E-2}]
["Sri Lanka","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LKA - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.5745158200000002,"Model-based extrapolation",4.5745158200000004E-2,{"$f":"H979*((0.1+(2*0.6)))","v":5.946870566000001E-2}]
["Sri Lanka","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LKA - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.2624306680000004,"Model-based extrapolation",6.2624306680000005E-2,{"$f":"H980*((0.1+(2*0.5)))","v":6.8886737348000007E-2}]
["Sri Lanka","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LKA - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.3345813750000008,"Model-based extrapolation",8.3345813750000011E-2,{"$f":"H981*((0.1+(2*0.4)))","v":7.5011232375000014E-2}]
["Sri Lanka","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LKA - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.696340559999999,"Model-based extrapolation",0.10696340559999999,{"$f":"H982*((0.1+(2*0.3)))","v":7.4874383919999996E-2}]
["Sri Lanka","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LKA - ILO - ILO modelled estimates","Decile: Decile 8",2017,14.039108280000001,"Model-based extrapolation",0.14039108280000001,{"$f":"H983*((0.1+(2*0.2)))","v":7.0195541400000006E-2}]
["Sri Lanka","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LKA - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.124635699999999,"Model-based extrapolation",0.181246357,{"$f":"H984*((0.1+(2*0.1)))","v":5.4373907100000007E-2}]
["Sri Lanka","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LKA - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.233055110000002,"Model-based extrapolation",0.32233055110000003,{"$f":"H985*((0.1+(2*0)))","v":3.2233055110000006E-2},{"$f":"1-(I976+I977+I978+I979+I980+I981+I982+I983+I984+I985)","v":0.47237697246900001}]
["Lesotho","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LSO - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.70452874899999995,"Imputation",{"$f":"F986/100","v":7.0452874899999997E-3},{"$f":"H986*((0.1+(2*0.9)))","v":1.3386046231000001E-2}]
["Lesotho","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LSO - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.5951476099999999,"Imputation",{"$f":"F987/100","v":1.59514761E-2},{"$f":"H987*((0.1+(2*0.8)))","v":2.7117509370000004E-2}]
["Lesotho","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LSO - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.4940738680000001,"Imputation",2.4940738680000001E-2,{"$f":"H988*((0.1+(2*0.7)))","v":3.741110802E-2}]
["Lesotho","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LSO - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.4588768480000001,"Imputation",3.4588768480000004E-2,{"$f":"H989*((0.1+(2*0.6)))","v":4.4965399024000006E-2}]
["Lesotho","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LSO - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.6495885850000001,"Imputation",4.6495885850000002E-2,{"$f":"H990*((0.1+(2*0.5)))","v":5.1145474435000005E-2}]
["Lesotho","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LSO - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.930622101,"Imputation",5.930622101E-2,{"$f":"H991*((0.1+(2*0.4)))","v":5.3375598909000004E-2}]
["Lesotho","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LSO - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.9053716659999997,"Imputation",7.9053716659999995E-2,{"$f":"H992*((0.1+(2*0.3)))","v":5.533760166199999E-2}]
["Lesotho","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LSO - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.45495605,"Imputation",0.1045495605,{"$f":"H993*((0.1+(2*0.2)))","v":5.227478025E-2}]
["Lesotho","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LSO - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.247066499999999,"Imputation",0.16247066499999999,{"$f":"H994*((0.1+(2*0.1)))","v":4.8741199500000006E-2}]
["Lesotho","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LSO - ILO - ILO modelled estimates","Decile: Decile 10",2017,46.55975342,"Imputation",0.4655975342,{"$f":"H995*((0.1+(2*0)))","v":4.6559753420000002E-2},{"$f":"1-(I986+I987+I988+I989+I990+I991+I992+I993+I994+I995)","v":0.56968552917899995}]
["Lithuania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LTU - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.393297553,"Model-based extrapolation",{"$f":"F996/100","v":1.3932975530000001E-2},{"$f":"H996*((0.1+(2*0.9)))","v":2.6472653507000003E-2}]
["Lithuania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LTU - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.5778453350000001,"Model-based extrapolation",{"$f":"F997/100","v":3.5778453350000003E-2},{"$f":"H997*((0.1+(2*0.8)))","v":6.0823370695000011E-2}]
["Lithuania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LTU - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.8983578679999997,"Model-based extrapolation",4.8983578680000001E-2,{"$f":"H998*((0.1+(2*0.7)))","v":7.3475368020000001E-2}]
["Lithuania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LTU - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.8676805500000002,"Model-based extrapolation",5.8676805500000005E-2,{"$f":"H999*((0.1+(2*0.6)))","v":7.627984715000001E-2}]
["Lithuania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LTU - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.2345643040000001,"Model-based extrapolation",7.2345643040000004E-2,{"$f":"H1000*((0.1+(2*0.5)))","v":7.9580207344000009E-2}]
["Lithuania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LTU - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.7752771379999999,"Model-based extrapolation",8.7752771379999997E-2,{"$f":"H1001*((0.1+(2*0.4)))","v":7.8977494241999999E-2}]
["Lithuania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LTU - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.472127909999999,"Model-based extrapolation",0.10472127909999999,{"$f":"H1002*((0.1+(2*0.3)))","v":7.3304895369999998E-2}]
["Lithuania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LTU - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.893163680000001,"Model-based extrapolation",0.1289316368,{"$f":"H1003*((0.1+(2*0.2)))","v":6.44658184E-2}]
["Lithuania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LTU - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.485986709999999,"Model-based extrapolation",0.1648598671,{"$f":"H1004*((0.1+(2*0.1)))","v":4.9457960130000006E-2}]
["Lithuania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LTU - ILO - ILO modelled estimates","Decile: Decile 10",2017,28.401710510000001,"Model-based extrapolation",0.2840171051,{"$f":"H1005*((0.1+(2*0)))","v":2.8401710510000001E-2},{"$f":"1-(I996+I997+I998+I999+I1000+I1001+I1002+I1003+I1004+I1005)","v":0.38876067463199993}]
["Luxembourg","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LUX - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.3064212799999999,"Model-based extrapolation",{"$f":"F1006/100","v":2.3064212799999997E-2},{"$f":"H1006*((0.1+(2*0.9)))","v":4.3822004319999996E-2}]
["Luxembourg","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LUX - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.2322540279999998,"Model-based extrapolation",{"$f":"F1007/100","v":4.2322540280000001E-2},{"$f":"H1007*((0.1+(2*0.8)))","v":7.1948318476000014E-2}]
["Luxembourg","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LUX - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.1679682729999996,"Model-based extrapolation",5.1679682729999996E-2,{"$f":"H1008*((0.1+(2*0.7)))","v":7.7519524094999986E-2}]
["Luxembourg","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LUX - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.0899229049999999,"Model-based extrapolation",6.0899229049999996E-2,{"$f":"H1009*((0.1+(2*0.6)))","v":7.9168997764999999E-2}]
["Luxembourg","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LUX - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.2793979640000002,"Model-based extrapolation",7.2793979640000006E-2,{"$f":"H1010*((0.1+(2*0.5)))","v":8.0073377604000018E-2}]
["Luxembourg","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LUX - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.9525690079999993,"Model-based extrapolation",8.9525690079999998E-2,{"$f":"H1011*((0.1+(2*0.4)))","v":8.0573121072000001E-2}]
["Luxembourg","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LUX - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.807935710000001,"Model-based extrapolation",0.10807935710000001,{"$f":"H1012*((0.1+(2*0.3)))","v":7.5655549969999999E-2}]
["Luxembourg","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LUX - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.16621685,"Model-based extrapolation",0.13166216850000001,{"$f":"H1013*((0.1+(2*0.2)))","v":6.5831084250000005E-2}]
["Luxembourg","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LUX - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.308458330000001,"Model-based extrapolation",0.1630845833,{"$f":"H1014*((0.1+(2*0.1)))","v":4.8925374990000006E-2}]
["Luxembourg","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LUX - ILO - ILO modelled estimates","Decile: Decile 10",2017,25.688869480000001,"Model-based extrapolation",0.25688869479999998,{"$f":"H1015*((0.1+(2*0)))","v":2.5688869480000001E-2},{"$f":"1-(I1006+I1007+I1008+I1009+I1010+I1011+I1012+I1013+I1014+I1015)","v":0.35079377797799982}]
["Latvia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LVA - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.012626171,"Model-based extrapolation",{"$f":"F1016/100","v":2.0126261709999999E-2},{"$f":"H1016*((0.1+(2*0.9)))","v":3.8239897249000003E-2}]
["Latvia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LVA - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.7955462930000001,"Model-based extrapolation",{"$f":"F1017/100","v":3.7955462930000003E-2},{"$f":"H1017*((0.1+(2*0.8)))","v":6.4524286981000017E-2}]
["Latvia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LVA - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.7993168830000004,"Model-based extrapolation",4.7993168830000002E-2,{"$f":"H1018*((0.1+(2*0.7)))","v":7.198975324500001E-2}]
["Latvia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LVA - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.7828364370000003,"Model-based extrapolation",5.7828364370000003E-2,{"$f":"H1019*((0.1+(2*0.6)))","v":7.5176873681000012E-2}]
["Latvia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LVA - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.0281066890000004,"Model-based extrapolation",7.0281066890000007E-2,{"$f":"H1020*((0.1+(2*0.5)))","v":7.730917357900001E-2}]
["Latvia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LVA - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.3391809460000008,"Model-based extrapolation",8.3391809460000008E-2,{"$f":"H1021*((0.1+(2*0.4)))","v":7.5052628514000005E-2}]
["Latvia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LVA - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.05286598,"Model-based extrapolation",0.1005286598,{"$f":"H1022*((0.1+(2*0.3)))","v":7.0370061859999999E-2}]
["Latvia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LVA - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.25305367,"Model-based extrapolation",0.1225305367,{"$f":"H1023*((0.1+(2*0.2)))","v":6.1265268349999999E-2}]
["Latvia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LVA - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.952613830000001,"Model-based extrapolation",0.15952613830000001,{"$f":"H1024*((0.1+(2*0.1)))","v":4.7857841490000011E-2}]
["Latvia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","LVA - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.983848569999999,"Model-based extrapolation",0.29983848569999999,{"$f":"H1025*((0.1+(2*0)))","v":2.9983848569999999E-2},{"$f":"1-(I1016+I1017+I1018+I1019+I1020+I1021+I1022+I1023+I1024+I1025)","v":0.38823036648099984}]
["Macau, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAC - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.226218104,"Imputation",{"$f":"F1026/100","v":1.226218104E-2},{"$f":"H1026*((0.1+(2*0.9)))","v":2.3298143976000003E-2}]
["Macau, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAC - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.7797298430000001,"Imputation",{"$f":"F1027/100","v":2.7797298430000002E-2},{"$f":"H1027*((0.1+(2*0.8)))","v":4.7255407331000011E-2}]
["Macau, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAC - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.2756099699999996,"Imputation",4.2756099699999994E-2,{"$f":"H1028*((0.1+(2*0.7)))","v":6.4134149549999991E-2}]
["Macau, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAC - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.7815022469999997,"Imputation",5.7815022469999998E-2,{"$f":"H1029*((0.1+(2*0.6)))","v":7.5159529210999998E-2}]
["Macau, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAC - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.1633758539999999,"Imputation",7.1633758539999995E-2,{"$f":"H1030*((0.1+(2*0.5)))","v":7.8797134394000004E-2}]
["Macau, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAC - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.0962038039999999,"Imputation",9.0962038039999998E-2,{"$f":"H1031*((0.1+(2*0.4)))","v":8.1865834235999996E-2}]
["Macau, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAC - ILO - ILO modelled estimates","Decile: Decile 7",2017,11.038964269999999,"Imputation",0.1103896427,{"$f":"H1032*((0.1+(2*0.3)))","v":7.7272749889999992E-2}]
["Macau, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAC - ILO - ILO modelled estimates","Decile: Decile 8",2017,14.02529526,"Imputation",0.14025295260000001,{"$f":"H1033*((0.1+(2*0.2)))","v":7.0126476300000004E-2}]
["Macau, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAC - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.006755829999999,"Imputation",0.18006755829999999,{"$f":"H1034*((0.1+(2*0.1)))","v":5.4020267490000003E-2}]
["Macau, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAC - ILO - ILO modelled estimates","Decile: Decile 10",2017,26.606349949999998,"Imputation",0.26606349949999997,{"$f":"H1035*((0.1+(2*0)))","v":2.6606349949999997E-2},{"$f":"1-(I1026+I1027+I1028+I1029+I1030+I1031+I1032+I1033+I1034+I1035)","v":0.40146395767200005}]
["Morocco","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAR - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.84413212500000001,"Imputation",{"$f":"F1036/100","v":8.4413212499999998E-3},{"$f":"H1036*((0.1+(2*0.9)))","v":1.6038510375000002E-2}]
["Morocco","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAR - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.8886923790000001,"Imputation",{"$f":"F1037/100","v":1.8886923789999999E-2},{"$f":"H1037*((0.1+(2*0.8)))","v":3.2107770443000005E-2}]
["Morocco","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAR - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.8913645739999998,"Imputation",2.8913645739999997E-2,{"$f":"H1038*((0.1+(2*0.7)))","v":4.3370468609999997E-2}]
["Morocco","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAR - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.9047787189999998,"Imputation",3.9047787189999995E-2,{"$f":"H1039*((0.1+(2*0.6)))","v":5.0762123346999997E-2}]
["Morocco","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAR - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.0233035089999998,"Imputation",5.0233035089999996E-2,{"$f":"H1040*((0.1+(2*0.5)))","v":5.5256338598999998E-2}]
["Morocco","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAR - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.3498330120000004,"Imputation",6.3498330120000002E-2,{"$f":"H1041*((0.1+(2*0.4)))","v":5.7148497108000004E-2}]
["Morocco","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAR - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.9934320449999996,"Imputation",7.9934320449999999E-2,{"$f":"H1042*((0.1+(2*0.3)))","v":5.5954024314999996E-2}]
["Morocco","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAR - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.50124836,"Imputation",0.1050124836,{"$f":"H1043*((0.1+(2*0.2)))","v":5.2506241799999999E-2}]
["Morocco","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAR - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.910802840000001,"Imputation",0.15910802840000002,{"$f":"H1044*((0.1+(2*0.1)))","v":4.7732408520000012E-2}]
["Morocco","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MAR - ILO - ILO modelled estimates","Decile: Decile 10",2017,44.69242096,"Imputation",0.44692420960000001,{"$f":"H1045*((0.1+(2*0)))","v":4.4692420960000007E-2},{"$f":"1-(I1036+I1037+I1038+I1039+I1040+I1041+I1042+I1043+I1044+I1045)","v":0.54443119592299993}]
["Moldova","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDA - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.8796602490000001,"Imputation",{"$f":"F1046/100","v":1.8796602490000001E-2},{"$f":"H1046*((0.1+(2*0.9)))","v":3.5713544731000003E-2}]
["Moldova","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDA - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.569956779,"Imputation",{"$f":"F1047/100","v":3.5699567789999997E-2},{"$f":"H1047*((0.1+(2*0.8)))","v":6.0689265243000001E-2}]
["Moldova","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDA - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.6346774100000001,"Imputation",4.6346774100000002E-2,{"$f":"H1048*((0.1+(2*0.7)))","v":6.9520161150000009E-2}]
["Moldova","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDA - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.6672892570000002,"Imputation",5.6672892570000001E-2,{"$f":"H1049*((0.1+(2*0.6)))","v":7.3674760340999998E-2}]
["Moldova","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDA - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.8915815350000003,"Imputation",6.8915815350000006E-2,{"$f":"H1050*((0.1+(2*0.5)))","v":7.5807396885000017E-2}]
["Moldova","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDA - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.9333081249999999,"Imputation",7.9333081249999993E-2,{"$f":"H1051*((0.1+(2*0.4)))","v":7.1399773124999996E-2}]
["Moldova","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDA - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.8515768050000005,"Imputation",9.8515768050000008E-2,{"$f":"H1052*((0.1+(2*0.3)))","v":6.8961037635E-2}]
["Moldova","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDA - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.811544420000001,"Imputation",0.1181154442,{"$f":"H1053*((0.1+(2*0.2)))","v":5.9057722100000001E-2}]
["Moldova","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDA - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.71503448,"Imputation",0.15715034480000001,{"$f":"H1054*((0.1+(2*0.1)))","v":4.7145103440000009E-2}]
["Moldova","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDA - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.04537964,"Imputation",0.32045379639999999,{"$f":"H1055*((0.1+(2*0)))","v":3.2045379640000003E-2},{"$f":"1-(I1046+I1047+I1048+I1049+I1050+I1051+I1052+I1053+I1054+I1055)","v":0.40598585571000001}]
["Madagascar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDG - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.15507537099999999,"Model-based extrapolation",{"$f":"F1056/100","v":1.55075371E-3},{"$f":"H1056*((0.1+(2*0.9)))","v":2.9464320489999999E-3}]
["Madagascar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDG - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.37362611299999998,"Model-based extrapolation",{"$f":"F1057/100","v":3.7362611299999997E-3},{"$f":"H1057*((0.1+(2*0.8)))","v":6.3516439209999999E-3}]
["Madagascar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDG - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.59091770600000004,"Model-based extrapolation",5.9091770600000005E-3,{"$f":"H1058*((0.1+(2*0.7)))","v":8.8637655900000011E-3}]
["Madagascar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDG - ILO - ILO modelled estimates","Decile: Decile 4",2017,0.97381114999999996,"Model-based extrapolation",9.7381115000000004E-3,{"$f":"H1059*((0.1+(2*0.6)))","v":1.2659544950000001E-2}]
["Madagascar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDG - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.9703931809999999,"Model-based extrapolation",1.9703931809999999E-2,{"$f":"H1060*((0.1+(2*0.5)))","v":2.1674324990999999E-2}]
["Madagascar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDG - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.7283289430000002,"Model-based extrapolation",3.7283289430000005E-2,{"$f":"H1061*((0.1+(2*0.4)))","v":3.3554960487000005E-2}]
["Madagascar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDG - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.744797707,"Model-based extrapolation",5.7447977070000003E-2,{"$f":"H1062*((0.1+(2*0.3)))","v":4.0213583949000001E-2}]
["Madagascar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDG - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.4857683179999999,"Model-based extrapolation",8.4857683180000004E-2,{"$f":"H1063*((0.1+(2*0.2)))","v":4.2428841590000002E-2}]
["Madagascar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDG - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.602190970000001,"Model-based extrapolation",0.14602190970000001,{"$f":"H1064*((0.1+(2*0.1)))","v":4.3806572910000008E-2}]
["Madagascar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDG - ILO - ILO modelled estimates","Decile: Decile 10",2017,63.375095369999997,"Model-based extrapolation",0.63375095370000001,{"$f":"H1065*((0.1+(2*0)))","v":6.3375095370000009E-2},{"$f":"1-(I1056+I1057+I1058+I1059+I1060+I1061+I1062+I1063+I1064+I1065)","v":0.72412523419300001}]
["Maldives","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDV - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.94492280500000003,"Model-based extrapolation",{"$f":"F1066/100","v":9.4492280500000012E-3},{"$f":"H1066*((0.1+(2*0.9)))","v":1.7953533295000004E-2}]
["Maldives","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDV - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.5746366979999999,"Model-based extrapolation",{"$f":"F1067/100","v":2.5746366980000001E-2},{"$f":"H1067*((0.1+(2*0.8)))","v":4.3768823866000006E-2}]
["Maldives","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDV - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.3661842350000004,"Model-based extrapolation",4.3661842350000007E-2,{"$f":"H1068*((0.1+(2*0.7)))","v":6.5492763525000011E-2}]
["Maldives","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDV - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.8828420640000001,"Model-based extrapolation",5.8828420640000004E-2,{"$f":"H1069*((0.1+(2*0.6)))","v":7.6476946832000001E-2}]
["Maldives","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDV - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.3416905400000001,"Model-based extrapolation",7.3416905399999996E-2,{"$f":"H1070*((0.1+(2*0.5)))","v":8.0758595939999997E-2}]
["Maldives","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDV - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.0267400739999992,"Model-based extrapolation",9.0267400739999989E-2,{"$f":"H1071*((0.1+(2*0.4)))","v":8.1240660665999997E-2}]
["Maldives","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDV - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.82593441,"Model-based extrapolation",0.1082593441,{"$f":"H1072*((0.1+(2*0.3)))","v":7.5781540869999997E-2}]
["Maldives","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDV - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.089534759999999,"Model-based extrapolation",0.13089534759999999,{"$f":"H1073*((0.1+(2*0.2)))","v":6.5447673799999995E-2}]
["Maldives","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDV - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.73762894,"Model-based extrapolation",0.16737628940000002,{"$f":"H1074*((0.1+(2*0.1)))","v":5.0212886820000011E-2}]
["Maldives","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MDV - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.20990372,"Model-based extrapolation",0.29209903720000002,{"$f":"H1075*((0.1+(2*0)))","v":2.9209903720000003E-2},{"$f":"1-(I1066+I1067+I1068+I1069+I1070+I1071+I1072+I1073+I1074+I1075)","v":0.41365667066599998}]
["Mexico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MEX - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.1366177799999999,null,{"$f":"F1076/100","v":1.1366177799999998E-2},{"$f":"H1076*((0.1+(2*0.9)))","v":2.1595737819999999E-2}]
["Mexico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MEX - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.747248173,null,{"$f":"F1077/100","v":2.7472481730000001E-2},{"$f":"H1077*((0.1+(2*0.8)))","v":4.6703218941000005E-2}]
["Mexico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MEX - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.3489112849999998,null,4.3489112849999997E-2,{"$f":"H1078*((0.1+(2*0.7)))","v":6.5233669274999989E-2}]
["Mexico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MEX - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.9264755249999999,null,5.9264755249999995E-2,{"$f":"H1079*((0.1+(2*0.6)))","v":7.7044181825000002E-2}]
["Mexico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MEX - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.4643292429999999,null,7.4643292429999994E-2,{"$f":"H1080*((0.1+(2*0.5)))","v":8.2107621672999995E-2}]
["Mexico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MEX - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.8822898860000006,null,8.8822898859999999E-2,{"$f":"H1081*((0.1+(2*0.4)))","v":7.9940608974000002E-2}]
["Mexico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MEX - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.469491959999999,null,0.10469491959999999,{"$f":"H1082*((0.1+(2*0.3)))","v":7.3286443719999983E-2}]
["Mexico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MEX - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.622671130000001,null,0.12622671130000002,{"$f":"H1083*((0.1+(2*0.2)))","v":6.3113355650000008E-2}]
["Mexico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MEX - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.35680962,null,0.16356809620000001,{"$f":"H1084*((0.1+(2*0.1)))","v":4.9070428860000008E-2}]
["Mexico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MEX - ILO - ILO modelled estimates","Decile: Decile 10",2017,30.045154570000001,null,0.30045154569999999,{"$f":"H1085*((0.1+(2*0)))","v":3.004515457E-2},{"$f":"1-(I1076+I1077+I1078+I1079+I1080+I1081+I1082+I1083+I1084+I1085)","v":0.41185957869199996}]
["North Macedonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MKD - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.0383291240000001,"Imputation",{"$f":"F1086/100","v":2.038329124E-2},{"$f":"H1086*((0.1+(2*0.9)))","v":3.8728253356000004E-2}]
["North Macedonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MKD - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.9209926130000001,"Imputation",{"$f":"F1087/100","v":3.9209926130000003E-2},{"$f":"H1087*((0.1+(2*0.8)))","v":6.6656874421000017E-2}]
["North Macedonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MKD - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.1266717909999997,"Imputation",5.1266717909999995E-2,{"$f":"H1088*((0.1+(2*0.7)))","v":7.6900076865E-2}]
["North Macedonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MKD - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.2354907989999999,"Imputation",6.235490799E-2,{"$f":"H1089*((0.1+(2*0.6)))","v":8.1061380387000004E-2}]
["North Macedonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MKD - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.3999190329999998,"Imputation",7.3999190329999992E-2,{"$f":"H1090*((0.1+(2*0.5)))","v":8.1399109363000002E-2}]
["North Macedonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MKD - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.491392136,"Imputation",8.4913921360000005E-2,{"$f":"H1091*((0.1+(2*0.4)))","v":7.6422529224000002E-2}]
["North Macedonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MKD - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.097492219999999,"Imputation",0.1009749222,{"$f":"H1092*((0.1+(2*0.3)))","v":7.068244554E-2}]
["North Macedonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MKD - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.02668476,"Imputation",0.1202668476,{"$f":"H1093*((0.1+(2*0.2)))","v":6.0133423800000002E-2}]
["North Macedonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MKD - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.520490649999999,"Imputation",0.15520490649999999,{"$f":"H1094*((0.1+(2*0.1)))","v":4.6561471950000002E-2}]
["North Macedonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MKD - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.142547610000001,"Imputation",0.29142547610000002,{"$f":"H1095*((0.1+(2*0)))","v":2.9142547610000003E-2},{"$f":"1-(I1086+I1087+I1088+I1089+I1090+I1091+I1092+I1093+I1094+I1095)","v":0.37231188748400001}]
["Mali","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLI - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.76223760799999996,"Model-based extrapolation",{"$f":"F1096/100","v":7.6223760799999998E-3},{"$f":"H1096*((0.1+(2*0.9)))","v":1.4482514552000001E-2}]
["Mali","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLI - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.5003181699999999,"Model-based extrapolation",{"$f":"F1097/100","v":1.50031817E-2},{"$f":"H1097*((0.1+(2*0.8)))","v":2.5505408890000001E-2}]
["Mali","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLI - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.2288196089999999,"Model-based extrapolation",2.228819609E-2,{"$f":"H1098*((0.1+(2*0.7)))","v":3.3432294134999999E-2}]
["Mali","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLI - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.0385904309999998,"Model-based extrapolation",3.038590431E-2,{"$f":"H1099*((0.1+(2*0.6)))","v":3.9501675603000004E-2}]
["Mali","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLI - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.0614318850000002,"Model-based extrapolation",4.0614318850000004E-2,{"$f":"H1100*((0.1+(2*0.5)))","v":4.4675750735000005E-2}]
["Mali","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLI - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.3129153249999996,"Model-based extrapolation",5.3129153249999998E-2,{"$f":"H1101*((0.1+(2*0.4)))","v":4.7816237924999998E-2}]
["Mali","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLI - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.0224761960000004,"Model-based extrapolation",7.0224761960000007E-2,{"$f":"H1102*((0.1+(2*0.3)))","v":4.9157333372000005E-2}]
["Mali","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLI - ILO - ILO modelled estimates","Decile: Decile 8",2017,9.7354946140000003,"Model-based extrapolation",9.7354946140000009E-2,{"$f":"H1103*((0.1+(2*0.2)))","v":4.8677473070000005E-2}]
["Mali","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLI - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.666179659999999,"Model-based extrapolation",0.15666179659999999,{"$f":"H1104*((0.1+(2*0.1)))","v":4.6998538980000004E-2}]
["Mali","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLI - ILO - ILO modelled estimates","Decile: Decile 10",2017,50.67153931,"Model-based extrapolation",0.50671539310000002,{"$f":"H1105*((0.1+(2*0)))","v":5.0671539310000006E-2},{"$f":"1-(I1096+I1097+I1098+I1099+I1100+I1101+I1102+I1103+I1104+I1105)","v":0.59908123342800002}]
["Malta","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLT - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.750652552,"Model-based extrapolation",{"$f":"F1106/100","v":2.7506525520000002E-2},{"$f":"H1106*((0.1+(2*0.9)))","v":5.226239848800001E-2}]
["Malta","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLT - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.8937830919999996,"Model-based extrapolation",{"$f":"F1107/100","v":4.8937830919999994E-2},{"$f":"H1107*((0.1+(2*0.8)))","v":8.3194312564000006E-2}]
["Malta","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLT - ILO - ILO modelled estimates","Decile: Decile 3",2017,6.121193409,"Model-based extrapolation",6.1211934090000003E-2,{"$f":"H1108*((0.1+(2*0.7)))","v":9.1817901135000005E-2}]
["Malta","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLT - ILO - ILO modelled estimates","Decile: Decile 4",2017,7.1062097550000001,"Model-based extrapolation",7.1062097549999995E-2,{"$f":"H1109*((0.1+(2*0.6)))","v":9.2380726814999994E-2}]
["Malta","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLT - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.0995292659999993,"Model-based extrapolation",8.0995292659999996E-2,{"$f":"H1110*((0.1+(2*0.5)))","v":8.9094821926000003E-2}]
["Malta","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLT - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.2684144970000002,"Model-based extrapolation",9.2684144970000007E-2,{"$f":"H1111*((0.1+(2*0.4)))","v":8.3415730473000008E-2}]
["Malta","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLT - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.58018875,"Model-based extrapolation",0.1058018875,{"$f":"H1112*((0.1+(2*0.3)))","v":7.4061321249999992E-2}]
["Malta","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLT - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.932565690000001,"Model-based extrapolation",0.11932565690000001,{"$f":"H1113*((0.1+(2*0.2)))","v":5.9662828450000004E-2}]
["Malta","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLT - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.318381309999999,"Model-based extrapolation",0.1431838131,{"$f":"H1114*((0.1+(2*0.1)))","v":4.2955143930000009E-2}]
["Malta","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MLT - ILO - ILO modelled estimates","Decile: Decile 10",2017,24.929096220000002,"Model-based extrapolation",0.24929096220000002,{"$f":"H1115*((0.1+(2*0)))","v":2.4929096220000002E-2},{"$f":"1-(I1106+I1107+I1108+I1109+I1110+I1111+I1112+I1113+I1114+I1115)","v":0.30622571874900006}]
["Myanmar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MMR - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.2462282180000002,null,{"$f":"F1116/100","v":2.2462282180000001E-2},{"$f":"H1116*((0.1+(2*0.9)))","v":4.2678336142000006E-2}]
["Myanmar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MMR - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.6128826140000001,null,{"$f":"F1117/100","v":3.612882614E-2},{"$f":"H1117*((0.1+(2*0.8)))","v":6.1419004438000011E-2}]
["Myanmar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MMR - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.7581853870000002,null,4.7581853870000003E-2,{"$f":"H1118*((0.1+(2*0.7)))","v":7.1372780805000008E-2}]
["Myanmar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MMR - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.9668278690000003,null,5.966827869E-2,{"$f":"H1119*((0.1+(2*0.6)))","v":7.7568762297000007E-2}]
["Myanmar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MMR - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.1705579759999898,null,7.1705579759999902E-2,{"$f":"H1120*((0.1+(2*0.5)))","v":7.8876137735999899E-2}]
["Myanmar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MMR - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.5531158450000007,null,8.5531158450000005E-2,{"$f":"H1121*((0.1+(2*0.4)))","v":7.6978042605000005E-2}]
["Myanmar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MMR - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.43741226,null,0.10437412260000001,{"$f":"H1122*((0.1+(2*0.3)))","v":7.3061885820000005E-2}]
["Myanmar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MMR - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.0757637,null,0.13075763699999998,{"$f":"H1123*((0.1+(2*0.2)))","v":6.5378818499999991E-2}]
["Myanmar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MMR - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.8975811,null,0.168975811,{"$f":"H1124*((0.1+(2*0.1)))","v":5.0692743300000009E-2}]
["Myanmar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MMR - ILO - ILO modelled estimates","Decile: Decile 10",2017,27.281442640000002,null,0.27281442640000003,{"$f":"H1125*((0.1+(2*0)))","v":2.7281442640000004E-2},{"$f":"1-(I1116+I1117+I1118+I1119+I1120+I1121+I1122+I1123+I1124+I1125)","v":0.3746920457170001}]
["Montenegro","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNE - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.0655264849999999,"Imputation",{"$f":"F1126/100","v":2.0655264850000001E-2},{"$f":"H1126*((0.1+(2*0.9)))","v":3.9245003215000004E-2}]
["Montenegro","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNE - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.9801709650000001,"Imputation",{"$f":"F1127/100","v":3.9801709650000003E-2},{"$f":"H1127*((0.1+(2*0.8)))","v":6.7662906405000015E-2}]
["Montenegro","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNE - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.2087512020000002,"Imputation",5.2087512020000004E-2,{"$f":"H1128*((0.1+(2*0.7)))","v":7.8131268030000006E-2}]
["Montenegro","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNE - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.329137802,"Imputation",6.3291378019999997E-2,{"$f":"H1129*((0.1+(2*0.6)))","v":8.2278791426000003E-2}]
["Montenegro","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNE - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.4807796480000004,"Imputation",7.4807796480000008E-2,{"$f":"H1130*((0.1+(2*0.5)))","v":8.2288576128000016E-2}]
["Montenegro","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNE - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.582314491,"Imputation",8.5823144909999996E-2,{"$f":"H1131*((0.1+(2*0.4)))","v":7.7240830418999998E-2}]
["Montenegro","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNE - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.1251297,"Imputation",0.101251297,{"$f":"H1132*((0.1+(2*0.3)))","v":7.0875907899999993E-2}]
["Montenegro","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNE - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.047793390000001,"Imputation",0.1204779339,{"$f":"H1133*((0.1+(2*0.2)))","v":6.023896695E-2}]
["Montenegro","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNE - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.46752262,"Imputation",0.15467522620000002,{"$f":"H1134*((0.1+(2*0.1)))","v":4.6402567860000014E-2}]
["Montenegro","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNE - ILO - ILO modelled estimates","Decile: Decile 10",2017,28.712883000000001,"Imputation",0.28712883,{"$f":"H1135*((0.1+(2*0)))","v":2.8712883000000002E-2},{"$f":"1-(I1126+I1127+I1128+I1129+I1130+I1131+I1132+I1133+I1134+I1135)","v":0.3669222986670001}]
["Mongolia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNG - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.80895054300000002,"Imputation",{"$f":"F1136/100","v":8.0895054299999995E-3},{"$f":"H1136*((0.1+(2*0.9)))","v":1.5370060317000001E-2}]
["Mongolia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNG - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.821995735,"Imputation",{"$f":"F1137/100","v":1.821995735E-2},{"$f":"H1137*((0.1+(2*0.8)))","v":3.0973927495000001E-2}]
["Mongolia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNG - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.9067196850000001,"Imputation",2.9067196850000001E-2,{"$f":"H1138*((0.1+(2*0.7)))","v":4.3600795275E-2}]
["Mongolia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNG - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.1574697489999997,"Imputation",4.157469749E-2,{"$f":"H1139*((0.1+(2*0.6)))","v":5.4047106737E-2}]
["Mongolia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNG - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.5801334379999998,"Imputation",5.5801334379999998E-2,{"$f":"H1140*((0.1+(2*0.5)))","v":6.1381467818000003E-2}]
["Mongolia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNG - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.3831043239999996,"Imputation",7.3831043239999991E-2,{"$f":"H1141*((0.1+(2*0.4)))","v":6.6447938915999996E-2}]
["Mongolia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNG - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.7672233580000007,"Imputation",9.7672233580000004E-2,{"$f":"H1142*((0.1+(2*0.3)))","v":6.8370563506000001E-2}]
["Mongolia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNG - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.79493332,"Imputation",0.12794933320000001,{"$f":"H1143*((0.1+(2*0.2)))","v":6.3974666600000007E-2}]
["Mongolia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNG - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.65433311,"Imputation",0.17654333110000001,{"$f":"H1144*((0.1+(2*0.1)))","v":5.296299933000001E-2}]
["Mongolia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MNG - ILO - ILO modelled estimates","Decile: Decile 10",2017,37.12512589,"Imputation",0.37125125889999999,{"$f":"H1145*((0.1+(2*0)))","v":3.7125125889999999E-2},{"$f":"1-(I1136+I1137+I1138+I1139+I1140+I1141+I1142+I1143+I1144+I1145)","v":0.50574534811599992}]
["Mozambique","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MOZ - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.295793474,"Imputation",{"$f":"F1146/100","v":2.9579347399999998E-3},{"$f":"H1146*((0.1+(2*0.9)))","v":5.6200760059999999E-3}]
["Mozambique","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MOZ - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.53658968200000001,"Imputation",{"$f":"F1147/100","v":5.3658968200000004E-3},{"$f":"H1147*((0.1+(2*0.8)))","v":9.1220245940000014E-3}]
["Mozambique","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MOZ - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.87087035199999996,"Imputation",8.7087035199999996E-3,{"$f":"H1148*((0.1+(2*0.7)))","v":1.3063055279999999E-2}]
["Mozambique","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MOZ - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.4078795909999999,"Imputation",1.4078795909999999E-2,{"$f":"H1149*((0.1+(2*0.6)))","v":1.8302434683E-2}]
["Mozambique","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MOZ - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.367680311,"Imputation",2.3676803109999998E-2,{"$f":"H1150*((0.1+(2*0.5)))","v":2.6044483420999999E-2}]
["Mozambique","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MOZ - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.5068998339999999,"Imputation",3.5068998339999997E-2,{"$f":"H1151*((0.1+(2*0.4)))","v":3.1562098505999996E-2}]
["Mozambique","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MOZ - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.050579548,"Imputation",5.0505795479999997E-2,{"$f":"H1152*((0.1+(2*0.3)))","v":3.5354056835999993E-2}]
["Mozambique","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MOZ - ILO - ILO modelled estimates","Decile: Decile 8",2017,7.4914422040000002,"Imputation",7.4914422039999998E-2,{"$f":"H1153*((0.1+(2*0.2)))","v":3.7457211019999999E-2}]
["Mozambique","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MOZ - ILO - ILO modelled estimates","Decile: Decile 9",2017,13.7712059,"Imputation",0.137712059,{"$f":"H1154*((0.1+(2*0.1)))","v":4.1313617700000006E-2}]
["Mozambique","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MOZ - ILO - ILO modelled estimates","Decile: Decile 10",2017,64.701065060000005,"Imputation",0.64701065060000007,{"$f":"H1155*((0.1+(2*0)))","v":6.4701065060000007E-2},{"$f":"1-(I1146+I1147+I1148+I1149+I1150+I1151+I1152+I1153+I1154+I1155)","v":0.71745987689400004}]
["Mauritania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MRT - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.73752182700000002,"Imputation",{"$f":"F1156/100","v":7.37521827E-3},{"$f":"H1156*((0.1+(2*0.9)))","v":1.4012914713000001E-2}]
["Mauritania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MRT - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.6594680550000001,"Imputation",{"$f":"F1157/100","v":1.6594680550000001E-2},{"$f":"H1157*((0.1+(2*0.8)))","v":2.8210956935000003E-2}]
["Mauritania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MRT - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.5764474869999998,"Imputation",2.5764474869999998E-2,{"$f":"H1158*((0.1+(2*0.7)))","v":3.8646712304999997E-2}]
["Mauritania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MRT - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.5455684660000002,"Imputation",3.545568466E-2,{"$f":"H1159*((0.1+(2*0.6)))","v":4.6092390058000005E-2}]
["Mauritania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MRT - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.7072744369999997,"Imputation",4.7072744369999996E-2,{"$f":"H1160*((0.1+(2*0.5)))","v":5.1780018806999999E-2}]
["Mauritania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MRT - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.9987611770000004,"Imputation",5.9987611770000004E-2,{"$f":"H1161*((0.1+(2*0.4)))","v":5.3988850593000008E-2}]
["Mauritania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MRT - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.8609166149999998,"Imputation",7.8609166149999993E-2,{"$f":"H1162*((0.1+(2*0.3)))","v":5.5026416304999992E-2}]
["Mauritania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MRT - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.3948555,"Imputation",0.103948555,{"$f":"H1163*((0.1+(2*0.2)))","v":5.1974277499999999E-2}]
["Mauritania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MRT - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.08071327,"Imputation",0.16080713269999999,{"$f":"H1164*((0.1+(2*0.1)))","v":4.8242139810000008E-2}]
["Mauritania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MRT - ILO - ILO modelled estimates","Decile: Decile 10",2017,46.438480380000001,"Imputation",0.46438480380000002,{"$f":"H1165*((0.1+(2*0)))","v":4.6438480380000008E-2},{"$f":"1-(I1156+I1157+I1158+I1159+I1160+I1161+I1162+I1163+I1164+I1165)","v":0.56558684259399994}]
["Mauritius","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MUS - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.1061979529999999,null,{"$f":"F1166/100","v":1.1061979529999998E-2},{"$f":"H1166*((0.1+(2*0.9)))","v":2.1017761106999999E-2}]
["Mauritius","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MUS - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.44870162,null,{"$f":"F1167/100","v":2.44870162E-2},{"$f":"H1167*((0.1+(2*0.8)))","v":4.1627927540000005E-2}]
["Mauritius","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MUS - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.7014610769999998,null,3.7014610769999998E-2,{"$f":"H1168*((0.1+(2*0.7)))","v":5.5521916154999996E-2}]
["Mauritius","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MUS - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.8767771719999997,null,4.8767771719999999E-2,{"$f":"H1169*((0.1+(2*0.6)))","v":6.3398103235999995E-2}]
["Mauritius","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MUS - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.0357732769999997,null,6.0357732769999999E-2,{"$f":"H1170*((0.1+(2*0.5)))","v":6.6393506047000006E-2}]
["Mauritius","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MUS - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.5808377269999996,null,7.5808377269999991E-2,{"$f":"H1171*((0.1+(2*0.4)))","v":6.8227539542999996E-2}]
["Mauritius","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MUS - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.4385051729999994,null,9.4385051729999989E-2,{"$f":"H1172*((0.1+(2*0.3)))","v":6.6069536210999993E-2}]
["Mauritius","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MUS - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.114930149999999,null,0.12114930149999999,{"$f":"H1173*((0.1+(2*0.2)))","v":6.0574650749999993E-2}]
["Mauritius","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MUS - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.035980219999999,null,0.17035980219999999,{"$f":"H1174*((0.1+(2*0.1)))","v":5.1107940660000004E-2}]
["Mauritius","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MUS - ILO - ILO modelled estimates","Decile: Decile 10",2017,35.66083527,null,0.35660835270000002,{"$f":"H1175*((0.1+(2*0)))","v":3.5660835270000003E-2},{"$f":"1-(I1166+I1167+I1168+I1169+I1170+I1171+I1172+I1173+I1174+I1175)","v":0.47040028348100005}]
["Malawi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MWI - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.55004143699999997,"Model-based extrapolation",{"$f":"F1176/100","v":5.5004143699999997E-3},{"$f":"H1176*((0.1+(2*0.9)))","v":1.0450787303E-2}]
["Malawi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MWI - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.3013741969999999,"Model-based extrapolation",{"$f":"F1177/100","v":1.3013741969999999E-2},{"$f":"H1177*((0.1+(2*0.8)))","v":2.2123361349E-2}]
["Malawi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MWI - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.9689174890000001,"Model-based extrapolation",1.9689174890000001E-2,{"$f":"H1178*((0.1+(2*0.7)))","v":2.9533762335000002E-2}]
["Malawi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MWI - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.678863287,"Model-based extrapolation",2.6788632869999999E-2,{"$f":"H1179*((0.1+(2*0.6)))","v":3.4825222731E-2}]
["Malawi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MWI - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.5980899329999998,"Model-based extrapolation",3.5980899329999996E-2,{"$f":"H1180*((0.1+(2*0.5)))","v":3.9578989262999999E-2}]
["Malawi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MWI - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.7948317530000004,"Model-based extrapolation",4.7948317530000006E-2,{"$f":"H1181*((0.1+(2*0.4)))","v":4.3153485777000004E-2}]
["Malawi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MWI - ILO - ILO modelled estimates","Decile: Decile 7",2017,6.6579093929999997,"Model-based extrapolation",6.657909393E-2,{"$f":"H1182*((0.1+(2*0.3)))","v":4.6605365750999994E-2}]
["Malawi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MWI - ILO - ILO modelled estimates","Decile: Decile 8",2017,9.3614969250000009,"Model-based extrapolation",9.3614969250000013E-2,{"$f":"H1183*((0.1+(2*0.2)))","v":4.6807484625000007E-2}]
["Malawi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MWI - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.303732869999999,"Model-based extrapolation",0.1530373287,{"$f":"H1184*((0.1+(2*0.1)))","v":4.5911198610000009E-2}]
["Malawi","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MWI - ILO - ILO modelled estimates","Decile: Decile 10",2017,53.78474808,"Model-based extrapolation",0.5378474808,{"$f":"H1185*((0.1+(2*0)))","v":5.378474808E-2},{"$f":"1-(I1176+I1177+I1178+I1179+I1180+I1181+I1182+I1183+I1184+I1185)","v":0.62722559417599999}]
["Malaysia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MYS - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.011413932,"Imputation",{"$f":"F1186/100","v":1.011413932E-2},{"$f":"H1186*((0.1+(2*0.9)))","v":1.9216864708000003E-2}]
["Malaysia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MYS - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.3088841439999999,"Imputation",{"$f":"F1187/100","v":2.3088841439999997E-2},{"$f":"H1187*((0.1+(2*0.8)))","v":3.9251030447999997E-2}]
["Malaysia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MYS - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.6218528750000001,"Imputation",3.6218528749999999E-2,{"$f":"H1188*((0.1+(2*0.7)))","v":5.4327793124999996E-2}]
["Malaysia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MYS - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.028769016,"Imputation",5.0287690160000002E-2,{"$f":"H1189*((0.1+(2*0.6)))","v":6.5373997208000009E-2}]
["Malaysia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MYS - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.4807062149999997,"Imputation",6.4807062149999997E-2,{"$f":"H1190*((0.1+(2*0.5)))","v":7.1287768365000004E-2}]
["Malaysia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MYS - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.3495559690000007,"Imputation",8.3495559690000012E-2,{"$f":"H1191*((0.1+(2*0.4)))","v":7.5146003721000013E-2}]
["Malaysia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MYS - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.67730618,"Imputation",0.1067730618,{"$f":"H1192*((0.1+(2*0.3)))","v":7.474114325999999E-2}]
["Malaysia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MYS - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.71228981,"Imputation",0.1371228981,{"$f":"H1193*((0.1+(2*0.2)))","v":6.8561449050000001E-2}]
["Malaysia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MYS - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.21355247,"Imputation",0.1821355247,{"$f":"H1194*((0.1+(2*0.1)))","v":5.4640657410000008E-2}]
["Malaysia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","MYS - ILO - ILO modelled estimates","Decile: Decile 10",2017,30.595672610000001,"Imputation",0.30595672610000002,{"$f":"H1195*((0.1+(2*0)))","v":3.0595672610000003E-2},{"$f":"1-(I1186+I1187+I1188+I1189+I1190+I1191+I1192+I1193+I1194+I1195)","v":0.44685762009500007}]
["Namibia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NAM - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.14823652800000001,"Model-based extrapolation",{"$f":"F1196/100","v":1.48236528E-3},{"$f":"H1196*((0.1+(2*0.9)))","v":2.816494032E-3}]
["Namibia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NAM - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.437307954,"Model-based extrapolation",{"$f":"F1197/100","v":4.3730795399999998E-3},{"$f":"H1197*((0.1+(2*0.8)))","v":7.434235218E-3}]
["Namibia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NAM - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.0549836159999999,"Model-based extrapolation",1.0549836159999999E-2,{"$f":"H1198*((0.1+(2*0.7)))","v":1.5824754239999999E-2}]
["Namibia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NAM - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.813409925,"Model-based extrapolation",1.8134099250000001E-2,{"$f":"H1199*((0.1+(2*0.6)))","v":2.3574329025E-2}]
["Namibia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NAM - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.798649073,"Model-based extrapolation",2.7986490730000001E-2,{"$f":"H1200*((0.1+(2*0.5)))","v":3.0785139803000003E-2}]
["Namibia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NAM - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.1766710280000003,"Model-based extrapolation",4.1766710280000001E-2,{"$f":"H1201*((0.1+(2*0.4)))","v":3.7590039252000003E-2}]
["Namibia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NAM - ILO - ILO modelled estimates","Decile: Decile 7",2017,6.0594387049999998,"Model-based extrapolation",6.0594387049999997E-2,{"$f":"H1202*((0.1+(2*0.3)))","v":4.2416070934999994E-2}]
["Namibia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NAM - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.30396271,"Model-based extrapolation",0.1030396271,{"$f":"H1203*((0.1+(2*0.2)))","v":5.1519813550000002E-2}]
["Namibia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NAM - ILO - ILO modelled estimates","Decile: Decile 9",2017,20.247627260000002,"Model-based extrapolation",0.20247627260000001,{"$f":"H1204*((0.1+(2*0.1)))","v":6.0742881780000008E-2}]
["Namibia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NAM - ILO - ILO modelled estimates","Decile: Decile 10",2017,52.959720609999998,"Model-based extrapolation",0.52959720609999994,{"$f":"H1205*((0.1+(2*0)))","v":5.2959720609999997E-2},{"$f":"1-(I1196+I1197+I1198+I1199+I1200+I1201+I1202+I1203+I1204+I1205)","v":0.67433652155500001}]
["New Caledonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NCL - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.1067050700000001,"Imputation",{"$f":"F1206/100","v":1.1067050700000001E-2},{"$f":"H1206*((0.1+(2*0.9)))","v":2.1027396330000003E-2}]
["New Caledonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NCL - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.5187902449999999,"Imputation",{"$f":"F1207/100","v":2.5187902450000001E-2},{"$f":"H1207*((0.1+(2*0.8)))","v":4.2819434165000003E-2}]
["New Caledonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NCL - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.9142365460000001,"Imputation",3.9142365460000002E-2,{"$f":"H1208*((0.1+(2*0.7)))","v":5.8713548190000006E-2}]
["New Caledonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NCL - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.3665628429999996,"Imputation",5.3665628429999994E-2,{"$f":"H1209*((0.1+(2*0.6)))","v":6.9765316958999998E-2}]
["New Caledonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NCL - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.7896962170000004,"Imputation",6.7896962170000005E-2,{"$f":"H1210*((0.1+(2*0.5)))","v":7.4686658387000018E-2}]
["New Caledonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NCL - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.6870613100000007,"Imputation",8.6870613100000008E-2,{"$f":"H1211*((0.1+(2*0.4)))","v":7.8183551790000014E-2}]
["New Caledonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NCL - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.85134888,"Imputation",0.1085134888,{"$f":"H1212*((0.1+(2*0.3)))","v":7.5959442160000001E-2}]
["New Caledonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NCL - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.866019250000001,"Imputation",0.1386601925,{"$f":"H1213*((0.1+(2*0.2)))","v":6.9330096250000001E-2}]
["New Caledonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NCL - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.139837270000001,"Imputation",0.1813983727,{"$f":"H1214*((0.1+(2*0.1)))","v":5.4419511810000008E-2}]
["New Caledonia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NCL - ILO - ILO modelled estimates","Decile: Decile 10",2017,28.759725570000001,"Imputation",0.2875972557,{"$f":"H1215*((0.1+(2*0)))","v":2.8759725570000002E-2},{"$f":"1-(I1206+I1207+I1208+I1209+I1210+I1211+I1212+I1213+I1214+I1215)","v":0.42633531838899996}]
["Niger","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NER - ILO - ILO modelled estimates","Decile: Decile 1",2017,3.7492681E-2,"Model-based extrapolation",{"$f":"F1216/100","v":3.7492681E-4},{"$f":"H1216*((0.1+(2*0.9)))","v":7.1236093900000003E-4}]
["Niger","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NER - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.11899965999999999,"Model-based extrapolation",{"$f":"F1217/100","v":1.1899966E-3},{"$f":"H1217*((0.1+(2*0.8)))","v":2.0229942200000002E-3}]
["Niger","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NER - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.211830139,"Model-based extrapolation",2.1183013900000001E-3,{"$f":"H1218*((0.1+(2*0.7)))","v":3.177452085E-3}]
["Niger","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NER - ILO - ILO modelled estimates","Decile: Decile 4",2017,0.30111759900000001,"Model-based extrapolation",3.01117599E-3,{"$f":"H1219*((0.1+(2*0.6)))","v":3.9145287870000003E-3}]
["Niger","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NER - ILO - ILO modelled estimates","Decile: Decile 5",2017,0.53847771899999997,"Model-based extrapolation",5.3847771899999996E-3,{"$f":"H1220*((0.1+(2*0.5)))","v":5.9232549089999996E-3}]
["Niger","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NER - ILO - ILO modelled estimates","Decile: Decile 6",2017,0.89483678300000002,"Model-based extrapolation",8.9483678299999998E-3,{"$f":"H1221*((0.1+(2*0.4)))","v":8.0535310470000003E-3}]
["Niger","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NER - ILO - ILO modelled estimates","Decile: Decile 7",2017,1.413697958,"Model-based extrapolation",1.413697958E-2,{"$f":"H1222*((0.1+(2*0.3)))","v":9.8958857059999999E-3}]
["Niger","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NER - ILO - ILO modelled estimates","Decile: Decile 8",2017,2.371314049,"Model-based extrapolation",2.371314049E-2,{"$f":"H1223*((0.1+(2*0.2)))","v":1.1856570245E-2}]
["Niger","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NER - ILO - ILO modelled estimates","Decile: Decile 9",2017,5.3500165940000004,"Model-based extrapolation",5.3500165940000004E-2,{"$f":"H1224*((0.1+(2*0.1)))","v":1.6050049782000003E-2}]
["Niger","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NER - ILO - ILO modelled estimates","Decile: Decile 10",2017,88.762222289999997,"Model-based extrapolation",0.88762222289999992,{"$f":"H1225*((0.1+(2*0)))","v":8.8762222289999998E-2},{"$f":"1-(I1216+I1217+I1218+I1219+I1220+I1221+I1222+I1223+I1224+I1225)","v":0.84963114999}]
["Nigeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NGA - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.48199152899999997,"Model-based extrapolation",{"$f":"F1226/100","v":4.8199152899999998E-3},{"$f":"H1226*((0.1+(2*0.9)))","v":9.1578390510000003E-3}]
["Nigeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NGA - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.051423311,"Model-based extrapolation",{"$f":"F1227/100","v":1.051423311E-2},{"$f":"H1227*((0.1+(2*0.8)))","v":1.7874196287000002E-2}]
["Nigeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NGA - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.609273553,"Model-based extrapolation",1.6092735529999999E-2,{"$f":"H1228*((0.1+(2*0.7)))","v":2.4139103294999999E-2}]
["Nigeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NGA - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.2956528660000002,"Model-based extrapolation",2.2956528660000003E-2,{"$f":"H1229*((0.1+(2*0.6)))","v":2.9843487258000005E-2}]
["Nigeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NGA - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.215337753,"Model-based extrapolation",3.2153377529999999E-2,{"$f":"H1230*((0.1+(2*0.5)))","v":3.5368715283E-2}]
["Nigeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NGA - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.3816900250000002,"Model-based extrapolation",4.3816900249999999E-2,{"$f":"H1231*((0.1+(2*0.4)))","v":3.9435210225000003E-2}]
["Nigeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NGA - ILO - ILO modelled estimates","Decile: Decile 7",2017,6.000900745,"Model-based extrapolation",6.0009007449999999E-2,{"$f":"H1232*((0.1+(2*0.3)))","v":4.2006305214999998E-2}]
["Nigeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NGA - ILO - ILO modelled estimates","Decile: Decile 8",2017,9.0250644680000001,"Model-based extrapolation",9.0250644680000006E-2,{"$f":"H1233*((0.1+(2*0.2)))","v":4.5125322340000003E-2}]
["Nigeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NGA - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.91206455,"Model-based extrapolation",0.15912064549999999,{"$f":"H1234*((0.1+(2*0.1)))","v":4.7736193650000001E-2}]
["Nigeria","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NGA - ILO - ILO modelled estimates","Decile: Decile 10",2017,56.02661896,"Model-based extrapolation",0.56026618959999996,{"$f":"H1235*((0.1+(2*0)))","v":5.6026618959999996E-2},{"$f":"1-(I1226+I1227+I1228+I1229+I1230+I1231+I1232+I1233+I1234+I1235)","v":0.65328700843600007}]
["Nicaragua","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NIC - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.11402791700000001,"Model-based extrapolation",{"$f":"F1236/100","v":1.1402791700000001E-3},{"$f":"H1236*((0.1+(2*0.9)))","v":2.1665304230000003E-3}]
["Nicaragua","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NIC - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.52200722700000002,"Model-based extrapolation",{"$f":"F1237/100","v":5.2200722699999999E-3},{"$f":"H1237*((0.1+(2*0.8)))","v":8.8741228590000013E-3}]
["Nicaragua","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NIC - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.641604066,"Model-based extrapolation",1.6416040659999999E-2,{"$f":"H1238*((0.1+(2*0.7)))","v":2.4624060989999998E-2}]
["Nicaragua","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NIC - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.8562431340000001,"Model-based extrapolation",2.856243134E-2,{"$f":"H1239*((0.1+(2*0.6)))","v":3.7131160741999999E-2}]
["Nicaragua","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NIC - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.2049922940000002,"Model-based extrapolation",4.2049922940000005E-2,{"$f":"H1240*((0.1+(2*0.5)))","v":4.6254915234000007E-2}]
["Nicaragua","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NIC - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.8984823229999996,"Model-based extrapolation",5.8984823229999997E-2,{"$f":"H1241*((0.1+(2*0.4)))","v":5.3086340906999999E-2}]
["Nicaragua","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NIC - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.9285020829999997,"Model-based extrapolation",7.9285020829999997E-2,{"$f":"H1242*((0.1+(2*0.3)))","v":5.5499514580999991E-2}]
["Nicaragua","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NIC - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.81053829,"Model-based extrapolation",0.1081053829,{"$f":"H1243*((0.1+(2*0.2)))","v":5.4052691450000002E-2}]
["Nicaragua","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NIC - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.838571549999999,"Model-based extrapolation",0.1583857155,{"$f":"H1244*((0.1+(2*0.1)))","v":4.7515714650000006E-2}]
["Nicaragua","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NIC - ILO - ILO modelled estimates","Decile: Decile 10",2017,50.185035710000001,"Model-based extrapolation",0.50185035710000003,{"$f":"H1245*((0.1+(2*0)))","v":5.0185035710000006E-2},{"$f":"1-(I1236+I1237+I1238+I1239+I1240+I1241+I1242+I1243+I1244+I1245)","v":0.62060991245399999}]
["Netherlands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NLD - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.0489861970000001,"Model-based extrapolation",{"$f":"F1246/100","v":2.0489861970000002E-2},{"$f":"H1246*((0.1+(2*0.9)))","v":3.8930737743000009E-2}]
["Netherlands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NLD - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.7462022300000002,"Model-based extrapolation",{"$f":"F1247/100","v":3.7462022300000002E-2},{"$f":"H1247*((0.1+(2*0.8)))","v":6.3685437910000003E-2}]
["Netherlands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NLD - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.0442180629999998,"Model-based extrapolation",5.044218063E-2,{"$f":"H1248*((0.1+(2*0.7)))","v":7.5663270945E-2}]
["Netherlands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NLD - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.219650745,"Model-based extrapolation",6.2196507450000001E-2,{"$f":"H1249*((0.1+(2*0.6)))","v":8.0855459685000006E-2}]
["Netherlands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NLD - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.3994040490000001,"Model-based extrapolation",7.3994040489999996E-2,{"$f":"H1250*((0.1+(2*0.5)))","v":8.1393444539000007E-2}]
["Netherlands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NLD - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.6677780149999997,"Model-based extrapolation",8.6677780149999994E-2,{"$f":"H1251*((0.1+(2*0.4)))","v":7.8010002134999992E-2}]
["Netherlands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NLD - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.13774967,"Model-based extrapolation",0.1013774967,{"$f":"H1252*((0.1+(2*0.3)))","v":7.0964247689999996E-2}]
["Netherlands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NLD - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.1856308,"Model-based extrapolation",0.121856308,{"$f":"H1253*((0.1+(2*0.2)))","v":6.0928153999999998E-2}]
["Netherlands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NLD - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.55315399,"Model-based extrapolation",0.15553153990000002,{"$f":"H1254*((0.1+(2*0.1)))","v":4.665946197000001E-2}]
["Netherlands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NLD - ILO - ILO modelled estimates","Decile: Decile 10",2017,28.997222900000001,"Model-based extrapolation",0.28997222900000003,{"$f":"H1255*((0.1+(2*0)))","v":2.8997222900000005E-2},{"$f":"1-(I1246+I1247+I1248+I1249+I1250+I1251+I1252+I1253+I1254+I1255)","v":0.37391256048300003}]
["Norway","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NOR - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.8484237189999999,"Model-based extrapolation",{"$f":"F1256/100","v":1.8484237189999999E-2},{"$f":"H1256*((0.1+(2*0.9)))","v":3.5120050660999998E-2}]
["Norway","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NOR - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.1872510910000003,"Model-based extrapolation",{"$f":"F1257/100","v":4.1872510910000001E-2},{"$f":"H1257*((0.1+(2*0.8)))","v":7.1183268547000009E-2}]
["Norway","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NOR - ILO - ILO modelled estimates","Decile: Decile 3",2017,6.0311641690000002,"Model-based extrapolation",6.0311641690000001E-2,{"$f":"H1258*((0.1+(2*0.7)))","v":9.0467462535000001E-2}]
["Norway","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NOR - ILO - ILO modelled estimates","Decile: Decile 4",2017,7.5500206949999997,"Model-based extrapolation",7.5500206949999996E-2,{"$f":"H1259*((0.1+(2*0.6)))","v":9.8150269035000001E-2}]
["Norway","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NOR - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.6717796329999999,"Model-based extrapolation",8.6717796329999999E-2,{"$f":"H1260*((0.1+(2*0.5)))","v":9.5389575963000003E-2}]
["Norway","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NOR - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.7138175960000002,"Model-based extrapolation",9.7138175960000003E-2,{"$f":"H1261*((0.1+(2*0.4)))","v":8.7424358364000004E-2}]
["Norway","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NOR - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.794507980000001,"Model-based extrapolation",0.10794507980000001,{"$f":"H1262*((0.1+(2*0.3)))","v":7.5561555860000004E-2}]
["Norway","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NOR - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.300483699999999,"Model-based extrapolation",0.12300483699999999,{"$f":"H1263*((0.1+(2*0.2)))","v":6.1502418499999996E-2}]
["Norway","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NOR - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.933565140000001,"Model-based extrapolation",0.14933565140000002,{"$f":"H1264*((0.1+(2*0.1)))","v":4.4800695420000015E-2}]
["Norway","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NOR - ILO - ILO modelled estimates","Decile: Decile 10",2017,23.969001769999998,"Model-based extrapolation",0.23969001769999998,{"$f":"H1265*((0.1+(2*0)))","v":2.3969001769999998E-2},{"$f":"1-(I1256+I1257+I1258+I1259+I1260+I1261+I1262+I1263+I1264+I1265)","v":0.31643134334499989}]
["Nepal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NPL - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.38195395500000001,"Model-based extrapolation",{"$f":"F1266/100","v":3.8195395500000002E-3},{"$f":"H1266*((0.1+(2*0.9)))","v":7.2571251450000013E-3}]
["Nepal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NPL - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.85108029799999996,"Model-based extrapolation",{"$f":"F1267/100","v":8.5108029799999992E-3},{"$f":"H1267*((0.1+(2*0.8)))","v":1.4468365065999999E-2}]
["Nepal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NPL - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.268224955,"Model-based extrapolation",1.268224955E-2,{"$f":"H1268*((0.1+(2*0.7)))","v":1.9023374325000002E-2}]
["Nepal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NPL - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.748831153,"Model-based extrapolation",1.7488311530000002E-2,{"$f":"H1269*((0.1+(2*0.6)))","v":2.2734804989000004E-2}]
["Nepal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NPL - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.8519983290000002,"Model-based extrapolation",2.8519983290000002E-2,{"$f":"H1270*((0.1+(2*0.5)))","v":3.1371981619000004E-2}]
["Nepal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NPL - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.7820734979999999,"Model-based extrapolation",4.7820734980000001E-2,{"$f":"H1271*((0.1+(2*0.4)))","v":4.3038661482000001E-2}]
["Nepal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NPL - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.3265628810000001,"Model-based extrapolation",7.3265628809999997E-2,{"$f":"H1272*((0.1+(2*0.3)))","v":5.1285940166999992E-2}]
["Nepal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NPL - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.101608280000001,"Model-based extrapolation",0.11101608280000001,{"$f":"H1273*((0.1+(2*0.2)))","v":5.5508041400000006E-2}]
["Nepal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NPL - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.873941420000001,"Model-based extrapolation",0.18873941420000001,{"$f":"H1274*((0.1+(2*0.1)))","v":5.6621824260000009E-2}]
["Nepal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NPL - ILO - ILO modelled estimates","Decile: Decile 10",2017,50.813720699999998,"Model-based extrapolation",0.50813720699999998,{"$f":"H1275*((0.1+(2*0)))","v":5.0813720700000002E-2},{"$f":"1-(I1266+I1267+I1268+I1269+I1270+I1271+I1272+I1273+I1274+I1275)","v":0.64787616084699995}]
["New Zealand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NZL - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.070079923,"Imputation",{"$f":"F1276/100","v":1.070079923E-2},{"$f":"H1276*((0.1+(2*0.9)))","v":2.0331518537000003E-2}]
["New Zealand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NZL - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.4433982369999998,"Imputation",{"$f":"F1277/100","v":2.4433982369999999E-2},{"$f":"H1277*((0.1+(2*0.8)))","v":4.1537770029000005E-2}]
["New Zealand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NZL - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.8139934539999998,"Imputation",3.8139934539999996E-2,{"$f":"H1278*((0.1+(2*0.7)))","v":5.7209901809999991E-2}]
["New Zealand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NZL - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.2565774919999999,"Imputation",5.2565774920000002E-2,{"$f":"H1279*((0.1+(2*0.6)))","v":6.8335507396E-2}]
["New Zealand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NZL - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.7024717330000003,"Imputation",6.7024717329999997E-2,{"$f":"H1280*((0.1+(2*0.5)))","v":7.3727189063000007E-2}]
["New Zealand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NZL - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.5895624159999997,"Imputation",8.5895624160000003E-2,{"$f":"H1281*((0.1+(2*0.4)))","v":7.730606174400001E-2}]
["New Zealand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NZL - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.854267119999999,"Imputation",0.1085426712,{"$f":"H1282*((0.1+(2*0.3)))","v":7.5979869839999992E-2}]
["New Zealand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NZL - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.883262630000001,"Imputation",0.13883262630000001,{"$f":"H1283*((0.1+(2*0.2)))","v":6.9416313150000006E-2}]
["New Zealand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NZL - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.260663990000001,"Imputation",0.18260663990000001,{"$f":"H1284*((0.1+(2*0.1)))","v":5.4781991970000013E-2}]
["New Zealand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","NZL - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.125722889999999,"Imputation",0.2912572289,{"$f":"H1285*((0.1+(2*0)))","v":2.9125722890000001E-2},{"$f":"1-(I1276+I1277+I1278+I1279+I1280+I1281+I1282+I1283+I1284+I1285)","v":0.43224815357099988}]
["Oman","Labour income distribution -- ILO modelled estimates, July 2019 (%)","OMN - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.219076872,"Imputation",{"$f":"F1286/100","v":1.219076872E-2},{"$f":"H1286*((0.1+(2*0.9)))","v":2.3162460568E-2}]
["Oman","Labour income distribution -- ILO modelled estimates, July 2019 (%)","OMN - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.7797334189999998,"Imputation",{"$f":"F1287/100","v":2.7797334189999998E-2},{"$f":"H1287*((0.1+(2*0.8)))","v":4.7255468123000001E-2}]
["Oman","Labour income distribution -- ILO modelled estimates, July 2019 (%)","OMN - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.1934585569999996,"Imputation",4.1934585569999995E-2,{"$f":"H1288*((0.1+(2*0.7)))","v":6.2901878354999996E-2}]
["Oman","Labour income distribution -- ILO modelled estimates, July 2019 (%)","OMN - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.4821891779999996,"Imputation",5.4821891779999993E-2,{"$f":"H1289*((0.1+(2*0.6)))","v":7.1268459313999999E-2}]
["Oman","Labour income distribution -- ILO modelled estimates, July 2019 (%)","OMN - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.6344175339999998,"Imputation",6.6344175339999992E-2,{"$f":"H1290*((0.1+(2*0.5)))","v":7.2978592873999992E-2}]
["Oman","Labour income distribution -- ILO modelled estimates, July 2019 (%)","OMN - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.0870103839999992,"Imputation",8.0870103839999985E-2,{"$f":"H1291*((0.1+(2*0.4)))","v":7.2783093455999995E-2}]
["Oman","Labour income distribution -- ILO modelled estimates, July 2019 (%)","OMN - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.5573177339999997,"Imputation",9.5573177339999996E-2,{"$f":"H1292*((0.1+(2*0.3)))","v":6.6901224137999996E-2}]
["Oman","Labour income distribution -- ILO modelled estimates, July 2019 (%)","OMN - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.071065900000001,"Imputation",0.12071065900000001,{"$f":"H1293*((0.1+(2*0.2)))","v":6.0355329500000006E-2}]
["Oman","Labour income distribution -- ILO modelled estimates, July 2019 (%)","OMN - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.77729034,"Imputation",0.16777290340000001,{"$f":"H1294*((0.1+(2*0.1)))","v":5.0331871020000009E-2}]
["Oman","Labour income distribution -- ILO modelled estimates, July 2019 (%)","OMN - ILO - ILO modelled estimates","Decile: Decile 10",2017,33.19844818,"Imputation",0.33198448180000001,{"$f":"H1295*((0.1+(2*0)))","v":3.3198448179999999E-2},{"$f":"1-(I1286+I1287+I1288+I1289+I1290+I1291+I1292+I1293+I1294+I1295)","v":0.43886317447200007}]
["Pakistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAK - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.47691935299999999,"Model-based extrapolation",{"$f":"F1296/100","v":4.7691935300000002E-3},{"$f":"H1296*((0.1+(2*0.9)))","v":9.0614677070000003E-3}]
["Pakistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAK - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.040046453,"Model-based extrapolation",{"$f":"F1297/100","v":1.040046453E-2},{"$f":"H1297*((0.1+(2*0.8)))","v":1.7680789701000003E-2}]
["Pakistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAK - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.9781006569999999,"Model-based extrapolation",1.9781006569999999E-2,{"$f":"H1298*((0.1+(2*0.7)))","v":2.9671509855E-2}]
["Pakistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAK - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.2463495729999998,"Model-based extrapolation",3.246349573E-2,{"$f":"H1299*((0.1+(2*0.6)))","v":4.2202544448999998E-2}]
["Pakistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAK - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.5533637999999996,"Model-based extrapolation",4.5533637999999994E-2,{"$f":"H1300*((0.1+(2*0.5)))","v":5.0087001799999996E-2}]
["Pakistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAK - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.2971248629999996,"Model-based extrapolation",6.297124862999999E-2,{"$f":"H1301*((0.1+(2*0.4)))","v":5.6674123766999991E-2}]
["Pakistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAK - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.9379510880000002,"Model-based extrapolation",8.9379510879999999E-2,{"$f":"H1302*((0.1+(2*0.3)))","v":6.2565657615999998E-2}]
["Pakistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAK - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.273121829999999,"Model-based extrapolation",0.12273121829999999,{"$f":"H1303*((0.1+(2*0.2)))","v":6.1365609149999993E-2}]
["Pakistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAK - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.70122147,"Model-based extrapolation",0.1770122147,{"$f":"H1304*((0.1+(2*0.1)))","v":5.3103664410000008E-2}]
["Pakistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAK - ILO - ILO modelled estimates","Decile: Decile 10",2017,43.49580383,"Model-based extrapolation",0.43495803830000002,{"$f":"H1305*((0.1+(2*0)))","v":4.3495803830000006E-2},{"$f":"1-(I1296+I1297+I1298+I1299+I1300+I1301+I1302+I1303+I1304+I1305)","v":0.574091827715}]
["Panama","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAN - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.27938202000000001,null,{"$f":"F1306/100","v":2.7938201999999999E-3},{"$f":"H1306*((0.1+(2*0.9)))","v":5.3082583799999999E-3}]
["Panama","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAN - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.135177493,null,{"$f":"F1307/100","v":1.1351774930000001E-2},{"$f":"H1307*((0.1+(2*0.8)))","v":1.9298017381000003E-2}]
["Panama","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAN - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.5175864699999999,null,2.5175864699999998E-2,{"$f":"H1308*((0.1+(2*0.7)))","v":3.7763797049999999E-2}]
["Panama","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAN - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.429217339,null,4.4292173390000002E-2,{"$f":"H1309*((0.1+(2*0.6)))","v":5.7579825407000004E-2}]
["Panama","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAN - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.0557575229999996,null,7.0557575230000003E-2,{"$f":"H1310*((0.1+(2*0.5)))","v":7.7613332753000003E-2}]
["Panama","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAN - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.9151563639999996,null,8.9151563640000001E-2,{"$f":"H1311*((0.1+(2*0.4)))","v":8.0236407275999996E-2}]
["Panama","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAN - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.991693497,null,9.9916934969999996E-2,{"$f":"H1312*((0.1+(2*0.3)))","v":6.994185447899999E-2}]
["Panama","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAN - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.26048565,null,0.1226048565,{"$f":"H1313*((0.1+(2*0.2)))","v":6.1302428249999999E-2}]
["Panama","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAN - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.676359179999999,null,0.1667635918,{"$f":"H1314*((0.1+(2*0.1)))","v":5.0029077540000008E-2}]
["Panama","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PAN - ILO - ILO modelled estimates","Decile: Decile 10",2017,36.73917007,null,0.36739170069999999,{"$f":"H1315*((0.1+(2*0)))","v":3.673917007E-2},{"$f":"1-(I1306+I1307+I1308+I1309+I1310+I1311+I1312+I1313+I1314+I1315)","v":0.50418783141400003}]
["Peru","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PER - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.33271792500000003,null,{"$f":"F1316/100","v":3.3271792500000003E-3},{"$f":"H1316*((0.1+(2*0.9)))","v":6.3216405750000006E-3}]
["Peru","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PER - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.90680134300000004,null,{"$f":"F1317/100","v":9.0680134300000007E-3},{"$f":"H1317*((0.1+(2*0.8)))","v":1.5415622831000004E-2}]
["Peru","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PER - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.809509158,null,1.809509158E-2,{"$f":"H1318*((0.1+(2*0.7)))","v":2.714263737E-2}]
["Peru","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PER - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.0478456020000002,null,3.0478456020000003E-2,{"$f":"H1319*((0.1+(2*0.6)))","v":3.9621992826000006E-2}]
["Peru","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PER - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.788034916,null,4.7880349160000002E-2,{"$f":"H1320*((0.1+(2*0.5)))","v":5.2668384076000004E-2}]
["Peru","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PER - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.5520367620000002,null,7.5520367620000001E-2,{"$f":"H1321*((0.1+(2*0.4)))","v":6.7968330857999998E-2}]
["Peru","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PER - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.92050362,null,0.10920503619999999,{"$f":"H1322*((0.1+(2*0.3)))","v":7.6443525339999985E-2}]
["Peru","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PER - ILO - ILO modelled estimates","Decile: Decile 8",2017,14.270959850000001,null,0.14270959850000001,{"$f":"H1323*((0.1+(2*0.2)))","v":7.1354799250000003E-2}]
["Peru","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PER - ILO - ILO modelled estimates","Decile: Decile 9",2017,19.080810549999999,null,0.19080810549999999,{"$f":"H1324*((0.1+(2*0.1)))","v":5.7242431650000009E-2}]
["Peru","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PER - ILO - ILO modelled estimates","Decile: Decile 10",2017,37.290771479999997,null,0.37290771479999996,{"$f":"H1325*((0.1+(2*0)))","v":3.7290771479999998E-2},{"$f":"1-(I1316+I1317+I1318+I1319+I1320+I1321+I1322+I1323+I1324+I1325)","v":0.54852986374400015}]
["Philippines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PHL - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.64091128100000005,null,{"$f":"F1326/100","v":6.4091128100000009E-3},{"$f":"H1326*((0.1+(2*0.9)))","v":1.2177314339000003E-2}]
["Philippines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PHL - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.652597189,null,{"$f":"F1327/100","v":1.6525971890000001E-2},{"$f":"H1327*((0.1+(2*0.8)))","v":2.8094152213000004E-2}]
["Philippines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PHL - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.7683999539999999,null,2.768399954E-2,{"$f":"H1328*((0.1+(2*0.7)))","v":4.1525999309999999E-2}]
["Philippines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PHL - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.2596487999999999,null,4.2596488000000002E-2,{"$f":"H1329*((0.1+(2*0.6)))","v":5.5375434400000006E-2}]
["Philippines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PHL - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.300759792,null,6.3007597920000005E-2,{"$f":"H1330*((0.1+(2*0.5)))","v":6.9308357712000015E-2}]
["Philippines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PHL - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.5551595690000006,null,8.555159569000001E-2,{"$f":"H1331*((0.1+(2*0.4)))","v":7.6996436121000017E-2}]
["Philippines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PHL - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.97732639,null,0.1097732639,{"$f":"H1332*((0.1+(2*0.3)))","v":7.6841284730000001E-2}]
["Philippines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PHL - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.46060467,null,0.13460604670000001,{"$f":"H1333*((0.1+(2*0.2)))","v":6.7303023350000005E-2}]
["Philippines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PHL - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.586727140000001,null,0.1758672714,{"$f":"H1334*((0.1+(2*0.1)))","v":5.276018142000001E-2}]
["Philippines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PHL - ILO - ILO modelled estimates","Decile: Decile 10",2017,33.797878269999998,null,0.33797878269999998,{"$f":"H1335*((0.1+(2*0)))","v":3.3797878269999998E-2},{"$f":"1-(I1326+I1327+I1328+I1329+I1330+I1331+I1332+I1333+I1334+I1335)","v":0.48581993813500002}]
["Papua New Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PNG - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.43181318000000002,"Imputation",{"$f":"F1336/100","v":4.3181318000000005E-3},{"$f":"H1336*((0.1+(2*0.9)))","v":8.2044504200000021E-3}]
["Papua New Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PNG - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.87503212699999999,"Imputation",{"$f":"F1337/100","v":8.7503212699999999E-3},{"$f":"H1337*((0.1+(2*0.8)))","v":1.4875546159000001E-2}]
["Papua New Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PNG - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.4825375080000001,"Imputation",1.4825375080000001E-2,{"$f":"H1338*((0.1+(2*0.7)))","v":2.2238062620000002E-2}]
["Papua New Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PNG - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.3838772769999999,"Imputation",2.3838772769999999E-2,{"$f":"H1339*((0.1+(2*0.6)))","v":3.0990404600999999E-2}]
["Papua New Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PNG - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.6633098130000001,"Imputation",3.663309813E-2,{"$f":"H1340*((0.1+(2*0.5)))","v":4.0296407943000004E-2}]
["Papua New Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PNG - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.3383765219999999,"Imputation",5.3383765219999997E-2,{"$f":"H1341*((0.1+(2*0.4)))","v":4.8045388697999999E-2}]
["Papua New Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PNG - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.542257309,"Imputation",7.542257309E-2,{"$f":"H1342*((0.1+(2*0.3)))","v":5.2795801162999999E-2}]
["Papua New Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PNG - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.50696754,"Imputation",0.10506967539999999,{"$f":"H1343*((0.1+(2*0.2)))","v":5.2534837699999996E-2}]
["Papua New Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PNG - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.910823819999999,"Imputation",0.1591082382,{"$f":"H1344*((0.1+(2*0.1)))","v":4.7732471460000009E-2}]
["Papua New Guinea","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PNG - ILO - ILO modelled estimates","Decile: Decile 10",2017,51.865016939999997,"Imputation",0.51865016939999997,{"$f":"H1345*((0.1+(2*0)))","v":5.1865016940000001E-2},{"$f":"1-(I1336+I1337+I1338+I1339+I1340+I1341+I1342+I1343+I1344+I1345)","v":0.63042161229600002}]
["Poland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","POL - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.6870718,"Model-based extrapolation",{"$f":"F1346/100","v":2.6870718000000002E-2},{"$f":"H1346*((0.1+(2*0.9)))","v":5.1054364200000008E-2}]
["Poland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","POL - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.7704596520000004,"Model-based extrapolation",{"$f":"F1347/100","v":4.7704596520000003E-2},{"$f":"H1347*((0.1+(2*0.8)))","v":8.1097814084000019E-2}]
["Poland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","POL - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.6543350219999997,"Model-based extrapolation",5.6543350219999997E-2,{"$f":"H1348*((0.1+(2*0.7)))","v":8.4815025329999988E-2}]
["Poland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","POL - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.5565195080000001,"Model-based extrapolation",6.5565195079999999E-2,{"$f":"H1349*((0.1+(2*0.6)))","v":8.5234753603999999E-2}]
["Poland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","POL - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.4870605469999996,"Model-based extrapolation",7.487060546999999E-2,{"$f":"H1350*((0.1+(2*0.5)))","v":8.2357666016999995E-2}]
["Poland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","POL - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.5732870099999996,"Model-based extrapolation",8.5732870099999997E-2,{"$f":"H1351*((0.1+(2*0.4)))","v":7.7159583089999997E-2}]
["Poland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","POL - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.9998741150000008,"Model-based extrapolation",9.9998741150000015E-2,{"$f":"H1352*((0.1+(2*0.3)))","v":6.999911880500001E-2}]
["Poland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","POL - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.883101460000001,"Model-based extrapolation",0.11883101460000001,{"$f":"H1353*((0.1+(2*0.2)))","v":5.9415507300000003E-2}]
["Poland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","POL - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.356462479999999,"Model-based extrapolation",0.15356462479999999,{"$f":"H1354*((0.1+(2*0.1)))","v":4.6069387440000005E-2}]
["Poland","Labour income distribution -- ILO modelled estimates, July 2019 (%)","POL - ILO - ILO modelled estimates","Decile: Decile 10",2017,27.031835560000001,"Model-based extrapolation",0.2703183556,{"$f":"H1355*((0.1+(2*0)))","v":2.7031835560000002E-2},{"$f":"1-(I1346+I1347+I1348+I1349+I1350+I1351+I1352+I1353+I1354+I1355)","v":0.33576494456999995}]
["Puerto Rico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRI - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.185117722,"Imputation",{"$f":"F1356/100","v":1.185117722E-2},{"$f":"H1356*((0.1+(2*0.9)))","v":2.2517236718000003E-2}]
["Puerto Rico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRI - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.741295815,"Imputation",{"$f":"F1357/100","v":2.741295815E-2},{"$f":"H1357*((0.1+(2*0.8)))","v":4.6602028855000005E-2}]
["Puerto Rico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRI - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.2321877480000003,"Imputation",4.2321877480000006E-2,{"$f":"H1358*((0.1+(2*0.7)))","v":6.3482816220000016E-2}]
["Puerto Rico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRI - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.6113085749999998,"Imputation",5.611308575E-2,{"$f":"H1359*((0.1+(2*0.6)))","v":7.2947011475000004E-2}]
["Puerto Rico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRI - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.9675345420000001,"Imputation",6.9675345420000007E-2,{"$f":"H1360*((0.1+(2*0.5)))","v":7.6642879962000018E-2}]
["Puerto Rico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRI - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.7181119920000008,"Imputation",8.7181119920000008E-2,{"$f":"H1361*((0.1+(2*0.4)))","v":7.8463007928000011E-2}]
["Puerto Rico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRI - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.57975197,"Imputation",0.10579751970000001,{"$f":"H1362*((0.1+(2*0.3)))","v":7.4058263789999995E-2}]
["Puerto Rico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRI - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.02860737,"Imputation",0.1302860737,{"$f":"H1363*((0.1+(2*0.2)))","v":6.5143036850000002E-2}]
["Puerto Rico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRI - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.748474120000001,"Imputation",0.16748474120000001,{"$f":"H1364*((0.1+(2*0.1)))","v":5.0245422360000007E-2}]
["Puerto Rico","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRI - ILO - ILO modelled estimates","Decile: Decile 10",2017,30.187606809999998,"Imputation",0.30187606810000001,{"$f":"H1365*((0.1+(2*0)))","v":3.0187606810000003E-2},{"$f":"1-(I1356+I1357+I1358+I1359+I1360+I1361+I1362+I1363+I1364+I1365)","v":0.41971068903199993}]
["Korea, Democratic People's Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRK - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.47027829300000001,"Imputation",{"$f":"F1366/100","v":4.7027829299999997E-3},{"$f":"H1366*((0.1+(2*0.9)))","v":8.9352875670000009E-3}]
["Korea, Democratic People's Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRK - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.062636495,"Imputation",{"$f":"F1367/100","v":1.062636495E-2},{"$f":"H1367*((0.1+(2*0.8)))","v":1.8064820415000002E-2}]
["Korea, Democratic People's Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRK - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.835957289,"Imputation",1.8359572889999998E-2,{"$f":"H1368*((0.1+(2*0.7)))","v":2.7539359334999999E-2}]
["Korea, Democratic People's Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRK - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.905225277,"Imputation",2.9052252769999998E-2,{"$f":"H1369*((0.1+(2*0.6)))","v":3.7767928600999999E-2}]
["Korea, Democratic People's Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRK - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.3998017310000002,"Imputation",4.3998017309999998E-2,{"$f":"H1370*((0.1+(2*0.5)))","v":4.8397819041000004E-2}]
["Korea, Democratic People's Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRK - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.0996384619999997,"Imputation",6.0996384619999997E-2,{"$f":"H1371*((0.1+(2*0.4)))","v":5.4896746157999998E-2}]
["Korea, Democratic People's Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRK - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.9667854309999999,"Imputation",8.9667854310000003E-2,{"$f":"H1372*((0.1+(2*0.3)))","v":6.2767498017000004E-2}]
["Korea, Democratic People's Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRK - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.049705510000001,"Imputation",0.12049705510000001,{"$f":"H1373*((0.1+(2*0.2)))","v":6.0248527550000007E-2}]
["Korea, Democratic People's Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRK - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.675325390000001,"Imputation",0.17675325390000002,{"$f":"H1374*((0.1+(2*0.1)))","v":5.3025976170000017E-2}]
["Korea, Democratic People's Republic of","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRK - ILO - ILO modelled estimates","Decile: Decile 10",2017,44.534656519999999,"Imputation",0.44534656519999999,{"$f":"H1375*((0.1+(2*0)))","v":4.453465652E-2},{"$f":"1-(I1366+I1367+I1368+I1369+I1370+I1371+I1372+I1373+I1374+I1375)","v":0.58382138062599997}]
["Portugal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRT - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.643394947,"Model-based extrapolation",{"$f":"F1376/100","v":2.6433949469999999E-2},{"$f":"H1376*((0.1+(2*0.9)))","v":5.0224503992999998E-2}]
["Portugal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRT - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.4429678920000004,"Model-based extrapolation",{"$f":"F1377/100","v":4.4429678920000007E-2},{"$f":"H1377*((0.1+(2*0.8)))","v":7.5530454164000019E-2}]
["Portugal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRT - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.0320205690000002,"Model-based extrapolation",5.0320205690000001E-2,{"$f":"H1378*((0.1+(2*0.7)))","v":7.5480308534999999E-2}]
["Portugal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRT - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.6525425909999996,"Model-based extrapolation",5.6525425909999996E-2,{"$f":"H1379*((0.1+(2*0.6)))","v":7.3483053682999996E-2}]
["Portugal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRT - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.5437893870000003,"Model-based extrapolation",6.543789387E-2,{"$f":"H1380*((0.1+(2*0.5)))","v":7.1981683257000009E-2}]
["Portugal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRT - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.7038650510000002,"Model-based extrapolation",7.7038650510000001E-2,{"$f":"H1381*((0.1+(2*0.4)))","v":6.9334785459000001E-2}]
["Portugal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRT - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.4339237209999993,"Model-based extrapolation",9.4339237209999996E-2,{"$f":"H1382*((0.1+(2*0.3)))","v":6.603746604699999E-2}]
["Portugal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRT - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.077858920000001,"Model-based extrapolation",0.12077858920000001,{"$f":"H1383*((0.1+(2*0.2)))","v":6.0389294600000004E-2}]
["Portugal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRT - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.056234360000001,"Model-based extrapolation",0.16056234360000002,{"$f":"H1384*((0.1+(2*0.1)))","v":4.8168703080000014E-2}]
["Portugal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRT - ILO - ILO modelled estimates","Decile: Decile 10",2017,30.413414,"Model-based extrapolation",0.30413414,{"$f":"H1385*((0.1+(2*0)))","v":3.0413414E-2},{"$f":"1-(I1376+I1377+I1378+I1379+I1380+I1381+I1382+I1383+I1384+I1385)","v":0.37895633318199995}]
["Paraguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRY - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.94480854299999995,null,{"$f":"F1386/100","v":9.4480854299999993E-3},{"$f":"H1386*((0.1+(2*0.9)))","v":1.7951362317000001E-2}]
["Paraguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRY - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.001879454,null,{"$f":"F1387/100","v":2.0018794539999999E-2},{"$f":"H1387*((0.1+(2*0.8)))","v":3.4031950718000005E-2}]
["Paraguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRY - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.0590014459999999,null,3.0590014459999999E-2,{"$f":"H1388*((0.1+(2*0.7)))","v":4.588502169E-2}]
["Paraguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRY - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.359956264,null,4.3599562639999999E-2,{"$f":"H1389*((0.1+(2*0.6)))","v":5.6679431432000001E-2}]
["Paraguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRY - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.1852498049999998,null,6.1852498049999996E-2,{"$f":"H1390*((0.1+(2*0.5)))","v":6.8037747854999997E-2}]
["Paraguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRY - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.5949392319999998,null,8.5949392319999998E-2,{"$f":"H1391*((0.1+(2*0.4)))","v":7.7354453088E-2}]
["Paraguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRY - ILO - ILO modelled estimates","Decile: Decile 7",2017,11.104352,null,0.11104352000000001,{"$f":"H1392*((0.1+(2*0.3)))","v":7.7730463999999999E-2}]
["Paraguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRY - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.42934704,null,0.12429347039999999,{"$f":"H1393*((0.1+(2*0.2)))","v":6.2146735199999997E-2}]
["Paraguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRY - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.467332840000001,null,0.16467332840000001,{"$f":"H1394*((0.1+(2*0.1)))","v":4.9401998520000011E-2}]
["Paraguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PRY - ILO - ILO modelled estimates","Decile: Decile 10",2017,34.853145599999998,null,0.34853145599999996,{"$f":"H1395*((0.1+(2*0)))","v":3.4853145599999996E-2},{"$f":"1-(I1386+I1387+I1388+I1389+I1390+I1391+I1392+I1393+I1394+I1395)","v":0.47592768957999998}]
["Occupied Palestinian Territory","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PSE - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.88018876300000004,"Imputation",{"$f":"F1396/100","v":8.8018876299999996E-3},{"$f":"H1396*((0.1+(2*0.9)))","v":1.6723586496999999E-2}]
["Occupied Palestinian Territory","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PSE - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.0464098449999999,"Imputation",{"$f":"F1397/100","v":2.0464098449999999E-2},{"$f":"H1397*((0.1+(2*0.8)))","v":3.4788967364999999E-2}]
["Occupied Palestinian Territory","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PSE - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.1807022090000001,"Imputation",3.1807022089999998E-2,{"$f":"H1398*((0.1+(2*0.7)))","v":4.7710533134999997E-2}]
["Occupied Palestinian Territory","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PSE - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.3230080600000003,"Imputation",4.3230080600000005E-2,{"$f":"H1399*((0.1+(2*0.6)))","v":5.6199104780000009E-2}]
["Occupied Palestinian Territory","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PSE - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.6063652040000003,"Imputation",5.6063652040000002E-2,{"$f":"H1400*((0.1+(2*0.5)))","v":6.1670017244000008E-2}]
["Occupied Palestinian Territory","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PSE - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.9449110029999996,"Imputation",6.9449110029999997E-2,{"$f":"H1401*((0.1+(2*0.4)))","v":6.2504199026999996E-2}]
["Occupied Palestinian Territory","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PSE - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.0753164290000008,"Imputation",9.0753164290000007E-2,{"$f":"H1402*((0.1+(2*0.3)))","v":6.3527215003000001E-2}]
["Occupied Palestinian Territory","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PSE - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.66658878,"Imputation",0.11666588779999999,{"$f":"H1403*((0.1+(2*0.2)))","v":5.8332943899999996E-2}]
["Occupied Palestinian Territory","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PSE - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.235963819999998,"Imputation",0.1723596382,{"$f":"H1404*((0.1+(2*0.1)))","v":5.1707891460000009E-2}]
["Occupied Palestinian Territory","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PSE - ILO - ILO modelled estimates","Decile: Decile 10",2017,39.040546419999998,"Imputation",0.3904054642,{"$f":"H1405*((0.1+(2*0)))","v":3.9040546420000002E-2},{"$f":"1-(I1396+I1397+I1398+I1399+I1400+I1401+I1402+I1403+I1404+I1405)","v":0.50779499516899995}]
["French Polynesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PYF - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.1115081309999999,"Imputation",{"$f":"F1406/100","v":1.1115081309999999E-2},{"$f":"H1406*((0.1+(2*0.9)))","v":2.1118654488999997E-2}]
["French Polynesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PYF - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.5322391990000002,"Imputation",{"$f":"F1407/100","v":2.5322391990000002E-2},{"$f":"H1407*((0.1+(2*0.8)))","v":4.304806638300001E-2}]
["French Polynesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PYF - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.935560465,"Imputation",3.9355604650000001E-2,{"$f":"H1408*((0.1+(2*0.7)))","v":5.9033406975000001E-2}]
["French Polynesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PYF - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.3943614960000001,"Imputation",5.3943614960000004E-2,{"$f":"H1409*((0.1+(2*0.6)))","v":7.0126699448000013E-2}]
["French Polynesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PYF - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.8223896030000004,"Imputation",6.8223896030000009E-2,{"$f":"H1410*((0.1+(2*0.5)))","v":7.5046285633000018E-2}]
["French Polynesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PYF - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.7215633389999994,"Imputation",8.7215633389999991E-2,{"$f":"H1411*((0.1+(2*0.4)))","v":7.8494070050999995E-2}]
["French Polynesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PYF - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.898016930000001,"Imputation",0.10898016930000001,{"$f":"H1412*((0.1+(2*0.3)))","v":7.6286118510000001E-2}]
["French Polynesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PYF - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.91520214,"Imputation",0.13915202139999999,{"$f":"H1413*((0.1+(2*0.2)))","v":6.9576010699999996E-2}]
["French Polynesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PYF - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.1863308,"Imputation",0.181863308,{"$f":"H1414*((0.1+(2*0.1)))","v":5.4558992400000006E-2}]
["French Polynesia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","PYF - ILO - ILO modelled estimates","Decile: Decile 10",2017,28.482837679999999,"Imputation",0.2848283768,{"$f":"H1415*((0.1+(2*0)))","v":2.8482837680000001E-2},{"$f":"1-(I1406+I1407+I1408+I1409+I1410+I1411+I1412+I1413+I1414+I1415)","v":0.42422885773099994}]
["Qatar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","QAT - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.3522303099999999,"Imputation",{"$f":"F1416/100","v":1.3522303099999999E-2},{"$f":"H1416*((0.1+(2*0.9)))","v":2.5692375890000001E-2}]
["Qatar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","QAT - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.0469889640000001,"Imputation",{"$f":"F1417/100","v":3.0469889640000001E-2},{"$f":"H1417*((0.1+(2*0.8)))","v":5.1798812388000007E-2}]
["Qatar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","QAT - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.5462045670000002,"Imputation",4.5462045669999999E-2,{"$f":"H1418*((0.1+(2*0.7)))","v":6.8193068504999996E-2}]
["Qatar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","QAT - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.8650765419999997,"Imputation",5.8650765420000001E-2,{"$f":"H1419*((0.1+(2*0.6)))","v":7.6245995046000006E-2}]
["Qatar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","QAT - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.9174880979999998,"Imputation",6.9174880979999992E-2,{"$f":"H1420*((0.1+(2*0.5)))","v":7.6092369078000002E-2}]
["Qatar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","QAT - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.4120893480000003,"Imputation",8.412089348E-2,{"$f":"H1421*((0.1+(2*0.4)))","v":7.5708804131999999E-2}]
["Qatar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","QAT - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.4878654480000009,"Imputation",9.4878654480000005E-2,{"$f":"H1422*((0.1+(2*0.3)))","v":6.6415058136000002E-2}]
["Qatar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","QAT - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.93386078,"Imputation",0.1193386078,{"$f":"H1423*((0.1+(2*0.2)))","v":5.9669303899999998E-2}]
["Qatar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","QAT - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.233190539999999,"Imputation",0.16233190539999998,{"$f":"H1424*((0.1+(2*0.1)))","v":4.869957162E-2}]
["Qatar","Labour income distribution -- ILO modelled estimates, July 2019 (%)","QAT - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.205013280000003,"Imputation",0.32205013280000006,{"$f":"H1425*((0.1+(2*0)))","v":3.2205013280000007E-2},{"$f":"1-(I1416+I1417+I1418+I1419+I1420+I1421+I1422+I1423+I1424+I1425)","v":0.41927962802499996}]
["Romania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ROU - ILO - ILO modelled estimates","Decile: Decile 1",2017,3.715083838,"Model-based extrapolation",{"$f":"F1426/100","v":3.7150838380000002E-2},{"$f":"H1426*((0.1+(2*0.9)))","v":7.0586592922000008E-2}]
["Romania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ROU - ILO - ILO modelled estimates","Decile: Decile 2",2017,5.4145407680000002,"Model-based extrapolation",{"$f":"F1427/100","v":5.414540768E-2},{"$f":"H1427*((0.1+(2*0.8)))","v":9.204719305600001E-2}]
["Romania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ROU - ILO - ILO modelled estimates","Decile: Decile 3",2017,6.3658609390000001,"Model-based extrapolation",6.3658609389999996E-2,{"$f":"H1428*((0.1+(2*0.7)))","v":9.5487914084999986E-2}]
["Romania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ROU - ILO - ILO modelled estimates","Decile: Decile 4",2017,7.239854813,"Model-based extrapolation",7.2398548130000004E-2,{"$f":"H1429*((0.1+(2*0.6)))","v":9.4118112569000004E-2}]
["Romania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ROU - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.0425424579999998,"Model-based extrapolation",8.0425424580000002E-2,{"$f":"H1430*((0.1+(2*0.5)))","v":8.8467967038000014E-2}]
["Romania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ROU - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.7427139280000006,"Model-based extrapolation",8.742713928000001E-2,{"$f":"H1431*((0.1+(2*0.4)))","v":7.8684425352000015E-2}]
["Romania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ROU - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.29999924,"Model-based extrapolation",0.1029999924,{"$f":"H1432*((0.1+(2*0.3)))","v":7.2099994680000001E-2}]
["Romania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ROU - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.065804480000001,"Model-based extrapolation",0.1206580448,{"$f":"H1433*((0.1+(2*0.2)))","v":6.0329022400000001E-2}]
["Romania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ROU - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.669514660000001,"Model-based extrapolation",0.14669514660000002,{"$f":"H1434*((0.1+(2*0.1)))","v":4.4008543980000016E-2}]
["Romania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ROU - ILO - ILO modelled estimates","Decile: Decile 10",2017,23.4440937,"Model-based extrapolation",0.23444093699999999,{"$f":"H1435*((0.1+(2*0)))","v":2.3444093700000002E-2},{"$f":"1-(I1426+I1427+I1428+I1429+I1430+I1431+I1432+I1433+I1434+I1435)","v":0.28072614021800002}]
["Russian Federation","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RUS - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.1618287559999998,"Imputation",{"$f":"F1436/100","v":2.1618287559999998E-2},{"$f":"H1436*((0.1+(2*0.9)))","v":4.1074746363999999E-2}]
["Russian Federation","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RUS - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.2108297349999999,"Imputation",{"$f":"F1437/100","v":4.2108297349999997E-2},{"$f":"H1437*((0.1+(2*0.8)))","v":7.1584105495000008E-2}]
["Russian Federation","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RUS - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.5472464559999999,"Imputation",5.5472464559999997E-2,{"$f":"H1438*((0.1+(2*0.7)))","v":8.3208696839999999E-2}]
["Russian Federation","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RUS - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.7400550839999998,"Imputation",6.7400550840000004E-2,{"$f":"H1439*((0.1+(2*0.6)))","v":8.7620716092000006E-2}]
["Russian Federation","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RUS - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.8990283010000004,"Imputation",7.8990283010000009E-2,{"$f":"H1440*((0.1+(2*0.5)))","v":8.6889311311000014E-2}]
["Russian Federation","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RUS - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.0348854060000008,"Imputation",9.0348854060000011E-2,{"$f":"H1441*((0.1+(2*0.4)))","v":8.1313968654000007E-2}]
["Russian Federation","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RUS - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.5266819,"Imputation",0.105266819,{"$f":"H1442*((0.1+(2*0.3)))","v":7.3686773299999994E-2}]
["Russian Federation","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RUS - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.45192432,"Imputation",0.1245192432,{"$f":"H1443*((0.1+(2*0.2)))","v":6.2259621600000002E-2}]
["Russian Federation","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RUS - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.687800409999999,"Imputation",0.1568780041,{"$f":"H1444*((0.1+(2*0.1)))","v":4.7063401230000003E-2}]
["Russian Federation","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RUS - ILO - ILO modelled estimates","Decile: Decile 10",2017,25.739709850000001,"Imputation",0.25739709850000003,{"$f":"H1445*((0.1+(2*0)))","v":2.5739709850000004E-2},{"$f":"1-(I1436+I1437+I1438+I1439+I1440+I1441+I1442+I1443+I1444+I1445)","v":0.3395589492640001}]
["Rwanda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RWA - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.43616232300000002,"Model-based extrapolation",{"$f":"F1446/100","v":4.3616232300000002E-3},{"$f":"H1446*((0.1+(2*0.9)))","v":8.2870841370000017E-3}]
["Rwanda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RWA - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.98667335499999997,"Model-based extrapolation",{"$f":"F1447/100","v":9.8667335499999995E-3},{"$f":"H1447*((0.1+(2*0.8)))","v":1.6773447035E-2}]
["Rwanda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RWA - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.4571013450000001,"Model-based extrapolation",1.4571013450000002E-2,{"$f":"H1448*((0.1+(2*0.7)))","v":2.1856520175000001E-2}]
["Rwanda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RWA - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.9552427530000001,"Model-based extrapolation",1.9552427529999999E-2,{"$f":"H1449*((0.1+(2*0.6)))","v":2.5418155788999999E-2}]
["Rwanda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RWA - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.68798542,"Model-based extrapolation",2.6879854200000001E-2,{"$f":"H1450*((0.1+(2*0.5)))","v":2.9567839620000005E-2}]
["Rwanda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RWA - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.8336913589999999,"Model-based extrapolation",3.833691359E-2,{"$f":"H1451*((0.1+(2*0.4)))","v":3.4503222231000004E-2}]
["Rwanda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RWA - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.760696888,"Model-based extrapolation",5.7606968879999998E-2,{"$f":"H1452*((0.1+(2*0.3)))","v":4.0324878215999997E-2}]
["Rwanda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RWA - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.2661027909999998,"Model-based extrapolation",8.2661027910000004E-2,{"$f":"H1453*((0.1+(2*0.2)))","v":4.1330513955000002E-2}]
["Rwanda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RWA - ILO - ILO modelled estimates","Decile: Decile 9",2017,13.333840370000001,"Model-based extrapolation",0.1333384037,{"$f":"H1454*((0.1+(2*0.1)))","v":4.0001521110000007E-2}]
["Rwanda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","RWA - ILO - ILO modelled estimates","Decile: Decile 10",2017,61.282508849999999,"Model-based extrapolation",0.61282508849999995,{"$f":"H1455*((0.1+(2*0)))","v":6.128250885E-2},{"$f":"1-(I1446+I1447+I1448+I1449+I1450+I1451+I1452+I1453+I1454+I1455)","v":0.68065430888199996}]
["Saudi Arabia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SAU - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.2396504880000001,"Imputation",{"$f":"F1456/100","v":1.2396504880000001E-2},{"$f":"H1456*((0.1+(2*0.9)))","v":2.3553359272000002E-2}]
["Saudi Arabia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SAU - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.817352772,"Imputation",{"$f":"F1457/100","v":2.8173527720000001E-2},{"$f":"H1457*((0.1+(2*0.8)))","v":4.7894997124000006E-2}]
["Saudi Arabia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SAU - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.2397055630000002,"Imputation",4.239705563E-2,{"$f":"H1458*((0.1+(2*0.7)))","v":6.3595583444999992E-2}]
["Saudi Arabia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SAU - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.5277819629999998,"Imputation",5.5277819629999995E-2,{"$f":"H1459*((0.1+(2*0.6)))","v":7.1861165519E-2}]
["Saudi Arabia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SAU - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.6566228870000002,"Imputation",6.6566228870000008E-2,{"$f":"H1460*((0.1+(2*0.5)))","v":7.322285175700001E-2}]
["Saudi Arabia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SAU - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.1155347819999992,"Imputation",8.1155347819999987E-2,{"$f":"H1461*((0.1+(2*0.4)))","v":7.3039813037999987E-2}]
["Saudi Arabia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SAU - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.4972047810000007,"Imputation",9.4972047810000002E-2,{"$f":"H1462*((0.1+(2*0.3)))","v":6.6480433467E-2}]
["Saudi Arabia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SAU - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.998243329999999,"Imputation",0.1199824333,{"$f":"H1463*((0.1+(2*0.2)))","v":5.9991216649999998E-2}]
["Saudi Arabia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SAU - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.630100250000002,"Imputation",0.16630100250000002,{"$f":"H1464*((0.1+(2*0.1)))","v":4.9890300750000012E-2}]
["Saudi Arabia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SAU - ILO - ILO modelled estimates","Decile: Decile 10",2017,33.277793879999997,"Imputation",0.33277793879999995,{"$f":"H1465*((0.1+(2*0)))","v":3.3277793879999996E-2},{"$f":"1-(I1456+I1457+I1458+I1459+I1460+I1461+I1462+I1463+I1464+I1465)","v":0.43719248509800002}]
["Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SDN - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.81046211700000004,"Imputation",{"$f":"F1466/100","v":8.1046211699999995E-3},{"$f":"H1466*((0.1+(2*0.9)))","v":1.5398780222999999E-2}]
["Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SDN - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.8482451440000001,"Imputation",{"$f":"F1467/100","v":1.8482451440000002E-2},{"$f":"H1467*((0.1+(2*0.8)))","v":3.1420167448000004E-2}]
["Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SDN - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.8647451400000001,"Imputation",2.8647451400000003E-2,{"$f":"H1468*((0.1+(2*0.7)))","v":4.2971177100000008E-2}]
["Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SDN - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.909556866,"Imputation",3.9095568659999996E-2,{"$f":"H1469*((0.1+(2*0.6)))","v":5.0824239257999997E-2}]
["Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SDN - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.1129069329999997,"Imputation",5.1129069329999999E-2,{"$f":"H1470*((0.1+(2*0.5)))","v":5.6241976263000003E-2}]
["Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SDN - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.4280757900000003,"Imputation",6.4280757899999999E-2,{"$f":"H1471*((0.1+(2*0.4)))","v":5.7852682109999998E-2}]
["Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SDN - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.3647918699999995,"Imputation",8.364791869999999E-2,{"$f":"H1472*((0.1+(2*0.3)))","v":5.8553543089999986E-2}]
["Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SDN - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.91765118,"Imputation",0.1091765118,{"$f":"H1473*((0.1+(2*0.2)))","v":5.45882559E-2}]
["Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SDN - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.515439990000001,"Imputation",0.1651543999,{"$f":"H1474*((0.1+(2*0.1)))","v":4.9546319970000009E-2}]
["Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SDN - ILO - ILO modelled estimates","Decile: Decile 10",2017,43.228122710000001,"Imputation",0.4322812271,{"$f":"H1475*((0.1+(2*0)))","v":4.3228122710000004E-2},{"$f":"1-(I1466+I1467+I1468+I1469+I1470+I1471+I1472+I1473+I1474+I1475)","v":0.539374735928}]
["Senegal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SEN - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.61924266800000005,"Imputation",{"$f":"F1476/100","v":6.1924266800000008E-3},{"$f":"H1476*((0.1+(2*0.9)))","v":1.1765610692000002E-2}]
["Senegal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SEN - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.366376877,"Imputation",{"$f":"F1477/100","v":1.3663768769999999E-2},{"$f":"H1477*((0.1+(2*0.8)))","v":2.3228406909E-2}]
["Senegal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SEN - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.1386461259999998,"Imputation",2.138646126E-2,{"$f":"H1478*((0.1+(2*0.7)))","v":3.2079691889999998E-2}]
["Senegal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SEN - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.0035288329999998,"Imputation",3.003528833E-2,{"$f":"H1479*((0.1+(2*0.6)))","v":3.9045874829000002E-2}]
["Senegal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SEN - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.128125668,"Imputation",4.1281256680000003E-2,{"$f":"H1480*((0.1+(2*0.5)))","v":4.5409382348000009E-2}]
["Senegal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SEN - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.3796644210000002,"Imputation",5.3796644210000001E-2,{"$f":"H1481*((0.1+(2*0.4)))","v":4.8416979789000003E-2}]
["Senegal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SEN - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.2122545240000004,"Imputation",7.2122545240000002E-2,{"$f":"H1482*((0.1+(2*0.3)))","v":5.0485781667999996E-2}]
["Senegal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SEN - ILO - ILO modelled estimates","Decile: Decile 8",2017,9.7304801940000001,"Imputation",9.7304801940000005E-2,{"$f":"H1483*((0.1+(2*0.2)))","v":4.8652400970000002E-2}]
["Senegal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SEN - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.600215909999999,"Imputation",0.15600215909999998,{"$f":"H1484*((0.1+(2*0.1)))","v":4.6800647729999999E-2}]
["Senegal","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SEN - ILO - ILO modelled estimates","Decile: Decile 10",2017,50.821468350000004,"Imputation",0.50821468349999999,{"$f":"H1485*((0.1+(2*0)))","v":5.0821468350000003E-2},{"$f":"1-(I1476+I1477+I1478+I1479+I1480+I1481+I1482+I1483+I1484+I1485)","v":0.60329375482499992}]
["Singapore","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SGP - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.173408628,"Imputation",{"$f":"F1486/100","v":1.173408628E-2},{"$f":"H1486*((0.1+(2*0.9)))","v":2.2294763932E-2}]
["Singapore","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SGP - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.6557586190000002,"Imputation",{"$f":"F1487/100","v":2.6557586190000003E-2},{"$f":"H1487*((0.1+(2*0.8)))","v":4.5147896523000011E-2}]
["Singapore","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SGP - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.0960264210000004,"Imputation",4.0960264210000007E-2,{"$f":"H1488*((0.1+(2*0.7)))","v":6.1440396315000007E-2}]
["Singapore","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SGP - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.5655994419999999,"Imputation",5.565599442E-2,{"$f":"H1489*((0.1+(2*0.6)))","v":7.2352792745999997E-2}]
["Singapore","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SGP - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.9465317730000002,"Imputation",6.9465317730000004E-2,{"$f":"H1490*((0.1+(2*0.5)))","v":7.6411849503000007E-2}]
["Singapore","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SGP - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.8625688549999992,"Imputation",8.8625688549999998E-2,{"$f":"H1491*((0.1+(2*0.4)))","v":7.9763119694999995E-2}]
["Singapore","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SGP - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.8415556,"Imputation",0.108415556,{"$f":"H1492*((0.1+(2*0.3)))","v":7.5890889199999992E-2}]
["Singapore","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SGP - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.829720500000001,"Imputation",0.13829720500000001,{"$f":"H1493*((0.1+(2*0.2)))","v":6.9148602500000003E-2}]
["Singapore","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SGP - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.913850780000001,"Imputation",0.17913850780000001,{"$f":"H1494*((0.1+(2*0.1)))","v":5.3741552340000012E-2}]
["Singapore","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SGP - ILO - ILO modelled estimates","Decile: Decile 10",2017,28.114973070000001,"Imputation",0.28114973069999999,{"$f":"H1495*((0.1+(2*0)))","v":2.811497307E-2},{"$f":"1-(I1486+I1487+I1488+I1489+I1490+I1491+I1492+I1493+I1494+I1495)","v":0.415693164176}]
["Solomon Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLB - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.34797900900000001,"Imputation",{"$f":"F1496/100","v":3.47979009E-3},{"$f":"H1496*((0.1+(2*0.9)))","v":6.6116011710000006E-3}]
["Solomon Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLB - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.69268673700000005,"Imputation",{"$f":"F1497/100","v":6.9268673700000009E-3},{"$f":"H1497*((0.1+(2*0.8)))","v":1.1775674529000003E-2}]
["Solomon Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLB - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.2271888259999999,"Imputation",1.2271888259999999E-2,{"$f":"H1498*((0.1+(2*0.7)))","v":1.8407832389999997E-2}]
["Solomon Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLB - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.089764357,"Imputation",2.0897643569999999E-2,{"$f":"H1499*((0.1+(2*0.6)))","v":2.7166936640999999E-2}]
["Solomon Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLB - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.3963298800000001,"Imputation",3.39632988E-2,{"$f":"H1500*((0.1+(2*0.5)))","v":3.735962868E-2}]
["Solomon Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLB - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.0463924410000001,"Imputation",5.046392441E-2,{"$f":"H1501*((0.1+(2*0.4)))","v":4.5417531969000002E-2}]
["Solomon Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLB - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.3998737339999998,"Imputation",7.3998737339999995E-2,{"$f":"H1502*((0.1+(2*0.3)))","v":5.1799116137999993E-2}]
["Solomon Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLB - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.3834219,"Imputation",0.10383421900000001,{"$f":"H1503*((0.1+(2*0.2)))","v":5.1917109500000003E-2}]
["Solomon Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLB - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.989787099999999,"Imputation",0.159897871,{"$f":"H1504*((0.1+(2*0.1)))","v":4.7969361300000006E-2}]
["Solomon Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLB - ILO - ILO modelled estimates","Decile: Decile 10",2017,53.42657852,"Imputation",0.53426578520000001,{"$f":"H1505*((0.1+(2*0)))","v":5.3426578520000004E-2},{"$f":"1-(I1496+I1497+I1498+I1499+I1500+I1501+I1502+I1503+I1504+I1505)","v":0.648148629162}]
["Sierra Leone","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLE - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.25660640000000001,"Imputation",{"$f":"F1506/100","v":2.5660640000000003E-3},{"$f":"H1506*((0.1+(2*0.9)))","v":4.8755216000000009E-3}]
["Sierra Leone","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLE - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.40640720699999999,"Imputation",{"$f":"F1507/100","v":4.0640720699999999E-3},{"$f":"H1507*((0.1+(2*0.8)))","v":6.9089225190000006E-3}]
["Sierra Leone","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLE - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.63519281100000002,"Imputation",6.3519281100000002E-3,{"$f":"H1508*((0.1+(2*0.7)))","v":9.5278921649999994E-3}]
["Sierra Leone","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLE - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.087443948,"Imputation",1.0874439479999999E-2,{"$f":"H1509*((0.1+(2*0.6)))","v":1.4136771324E-2}]
["Sierra Leone","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLE - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.944416881,"Imputation",1.9444168809999999E-2,{"$f":"H1510*((0.1+(2*0.5)))","v":2.1388585691000002E-2}]
["Sierra Leone","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLE - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.067946434,"Imputation",3.067946434E-2,{"$f":"H1511*((0.1+(2*0.4)))","v":2.7611517905999999E-2}]
["Sierra Leone","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLE - ILO - ILO modelled estimates","Decile: Decile 7",2017,4.3274230960000004,"Imputation",4.3274230960000007E-2,{"$f":"H1512*((0.1+(2*0.3)))","v":3.0291961672000003E-2}]
["Sierra Leone","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLE - ILO - ILO modelled estimates","Decile: Decile 8",2017,6.7176470760000004,"Imputation",6.7176470760000009E-2,{"$f":"H1513*((0.1+(2*0.2)))","v":3.3588235380000005E-2}]
["Sierra Leone","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLE - ILO - ILO modelled estimates","Decile: Decile 9",2017,12.93444824,"Imputation",0.12934448239999999,{"$f":"H1514*((0.1+(2*0.1)))","v":3.8803344720000001E-2}]
["Sierra Leone","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLE - ILO - ILO modelled estimates","Decile: Decile 10",2017,68.622467040000004,"Imputation",0.68622467040000001,{"$f":"H1515*((0.1+(2*0)))","v":6.862246704000001E-2},{"$f":"1-(I1506+I1507+I1508+I1509+I1510+I1511+I1512+I1513+I1514+I1515)","v":0.74424477998299998}]
["El Salvador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLV - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.863951921,null,{"$f":"F1516/100","v":1.863951921E-2},{"$f":"H1516*((0.1+(2*0.9)))","v":3.5415086499000006E-2}]
["El Salvador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLV - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.4091024399999998,null,{"$f":"F1517/100","v":3.4091024399999996E-2},{"$f":"H1517*((0.1+(2*0.8)))","v":5.7954741480000002E-2}]
["El Salvador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLV - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.5470685959999999,null,4.547068596E-2,{"$f":"H1518*((0.1+(2*0.7)))","v":6.8206028939999996E-2}]
["El Salvador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLV - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.7297406200000003,null,5.7297406200000005E-2,{"$f":"H1519*((0.1+(2*0.6)))","v":7.4486628060000004E-2}]
["El Salvador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLV - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.0555181500000002,null,7.0555181500000008E-2,{"$f":"H1520*((0.1+(2*0.5)))","v":7.7610699650000017E-2}]
["El Salvador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLV - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.8828716280000002,null,8.8828716279999997E-2,{"$f":"H1521*((0.1+(2*0.4)))","v":7.9945844651999998E-2}]
["El Salvador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLV - ILO - ILO modelled estimates","Decile: Decile 7",2017,11.28294086,null,0.1128294086,{"$f":"H1522*((0.1+(2*0.3)))","v":7.8980586019999993E-2}]
["El Salvador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLV - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.64947319,null,0.12649473189999999,{"$f":"H1523*((0.1+(2*0.2)))","v":6.3247365949999995E-2}]
["El Salvador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLV - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.010528560000001,null,0.16010528560000001,{"$f":"H1524*((0.1+(2*0.1)))","v":4.8031585680000009E-2}]
["El Salvador","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SLV - ILO - ILO modelled estimates","Decile: Decile 10",2017,28.56881332,null,0.28568813320000003,{"$f":"H1525*((0.1+(2*0)))","v":2.8568813320000004E-2},{"$f":"1-(I1516+I1517+I1518+I1519+I1520+I1521+I1522+I1523+I1524+I1525)","v":0.3875526197489999}]
["Somalia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SOM - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.41780179699999997,"Imputation",{"$f":"F1526/100","v":4.1780179699999996E-3},{"$f":"H1526*((0.1+(2*0.9)))","v":7.9382341429999996E-3}]
["Somalia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SOM - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.85558730400000005,"Imputation",{"$f":"F1527/100","v":8.5558730400000001E-3},{"$f":"H1527*((0.1+(2*0.8)))","v":1.4544984168000001E-2}]
["Somalia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SOM - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.366515398,"Imputation",1.3665153980000001E-2,{"$f":"H1528*((0.1+(2*0.7)))","v":2.0497730970000003E-2}]
["Somalia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SOM - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.0373418330000002,"Imputation",2.037341833E-2,{"$f":"H1529*((0.1+(2*0.6)))","v":2.6485443829000001E-2}]
["Somalia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SOM - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.0742607120000001,"Imputation",3.0742607120000001E-2,{"$f":"H1530*((0.1+(2*0.5)))","v":3.3816867832000004E-2}]
["Somalia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SOM - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.256850719,"Imputation",4.256850719E-2,{"$f":"H1531*((0.1+(2*0.4)))","v":3.8311656471000002E-2}]
["Somalia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SOM - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.9570274349999996,"Imputation",5.9570274349999994E-2,{"$f":"H1532*((0.1+(2*0.3)))","v":4.1699192044999993E-2}]
["Somalia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SOM - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.4350490570000005,"Imputation",8.4350490570000006E-2,{"$f":"H1533*((0.1+(2*0.2)))","v":4.2175245285000003E-2}]
["Somalia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SOM - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.58106422,"Imputation",0.14581064220000001,{"$f":"H1534*((0.1+(2*0.1)))","v":4.3743192660000006E-2}]
["Somalia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SOM - ILO - ILO modelled estimates","Decile: Decile 10",2017,59.018512729999998,"Imputation",0.59018512729999995,{"$f":"H1535*((0.1+(2*0)))","v":5.901851273E-2},{"$f":"1-(I1526+I1527+I1528+I1529+I1530+I1531+I1532+I1533+I1534+I1535)","v":0.67176893986700004}]
["Serbia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SRB - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.4435749050000002,"Model-based extrapolation",{"$f":"F1536/100","v":2.443574905E-2},{"$f":"H1536*((0.1+(2*0.9)))","v":4.6427923195000005E-2}]
["Serbia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SRB - ILO - ILO modelled estimates","Decile: Decile 2",2017,4.7883558270000002,"Model-based extrapolation",{"$f":"F1537/100","v":4.7883558270000001E-2},{"$f":"H1537*((0.1+(2*0.8)))","v":8.1402049059000017E-2}]
["Serbia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SRB - ILO - ILO modelled estimates","Decile: Decile 3",2017,6.0721678729999997,"Model-based extrapolation",6.0721678729999999E-2,{"$f":"H1538*((0.1+(2*0.7)))","v":9.1082518094999995E-2}]
["Serbia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SRB - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.8525567049999996,"Model-based extrapolation",6.852556705E-2,{"$f":"H1539*((0.1+(2*0.6)))","v":8.9083237165000009E-2}]
["Serbia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SRB - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.750385284,"Model-based extrapolation",7.7503852839999998E-2,{"$f":"H1540*((0.1+(2*0.5)))","v":8.5254238124000001E-2}]
["Serbia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SRB - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.8463993070000004,"Model-based extrapolation",8.846399307000001E-2,{"$f":"H1541*((0.1+(2*0.4)))","v":7.9617593763000011E-2}]
["Serbia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SRB - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.44241714,"Model-based extrapolation",0.1044241714,{"$f":"H1542*((0.1+(2*0.3)))","v":7.3096919979999994E-2}]
["Serbia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SRB - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.05228806,"Model-based extrapolation",0.12052288060000001,{"$f":"H1543*((0.1+(2*0.2)))","v":6.0261440300000003E-2}]
["Serbia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SRB - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.900541309999999,"Model-based extrapolation",0.14900541309999998,{"$f":"H1544*((0.1+(2*0.1)))","v":4.4701623930000003E-2}]
["Serbia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SRB - ILO - ILO modelled estimates","Decile: Decile 10",2017,25.851337430000001,"Model-based extrapolation",0.25851337429999999,{"$f":"H1545*((0.1+(2*0)))","v":2.5851337429999999E-2},{"$f":"1-(I1536+I1537+I1538+I1539+I1540+I1541+I1542+I1543+I1544+I1545)","v":0.32322111895899996}]
["South Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SSD - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.23617307800000001,"Imputation",{"$f":"F1546/100","v":2.3617307800000002E-3},{"$f":"H1546*((0.1+(2*0.9)))","v":4.4872884820000005E-3}]
["South Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SSD - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.355632901,"Imputation",{"$f":"F1547/100","v":3.55632901E-3},{"$f":"H1547*((0.1+(2*0.8)))","v":6.0457593170000004E-3}]
["South Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SSD - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.54512417300000005,"Imputation",5.4512417300000005E-3,{"$f":"H1548*((0.1+(2*0.7)))","v":8.1768625950000007E-3}]
["South Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SSD - ILO - ILO modelled estimates","Decile: Decile 4",2017,0.97325837599999998,"Imputation",9.7325837599999999E-3,{"$f":"H1549*((0.1+(2*0.6)))","v":1.2652358888000001E-2}]
["South Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SSD - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.810144067,"Imputation",1.810144067E-2,{"$f":"H1550*((0.1+(2*0.5)))","v":1.9911584737000002E-2}]
["South Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SSD - ILO - ILO modelled estimates","Decile: Decile 6",2017,2.9265427590000002,"Imputation",2.926542759E-2,{"$f":"H1551*((0.1+(2*0.4)))","v":2.6338884831000001E-2}]
["South Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SSD - ILO - ILO modelled estimates","Decile: Decile 7",2017,4.1438007350000001,"Imputation",4.143800735E-2,{"$f":"H1552*((0.1+(2*0.3)))","v":2.9006605144999999E-2}]
["South Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SSD - ILO - ILO modelled estimates","Decile: Decile 8",2017,6.5249862670000001,"Imputation",6.5249862670000006E-2,{"$f":"H1553*((0.1+(2*0.2)))","v":3.2624931335000003E-2}]
["South Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SSD - ILO - ILO modelled estimates","Decile: Decile 9",2017,12.757698059999999,"Imputation",0.1275769806,{"$f":"H1554*((0.1+(2*0.1)))","v":3.8273094180000009E-2}]
["South Sudan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SSD - ILO - ILO modelled estimates","Decile: Decile 10",2017,69.726638789999996,"Imputation",0.69726638789999995,{"$f":"H1555*((0.1+(2*0)))","v":6.9726638790000003E-2},{"$f":"1-(I1546+I1547+I1548+I1549+I1550+I1551+I1552+I1553+I1554+I1555)","v":0.75275599169999996}]
["Sao Tome and Principe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","STP - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.75403893,"Imputation",{"$f":"F1556/100","v":7.5403893000000003E-3},{"$f":"H1556*((0.1+(2*0.9)))","v":1.4326739670000001E-2}]
["Sao Tome and Principe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","STP - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.7256265879999999,"Imputation",{"$f":"F1557/100","v":1.725626588E-2},{"$f":"H1557*((0.1+(2*0.8)))","v":2.9335651996000002E-2}]
["Sao Tome and Principe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","STP - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.6951003070000001,"Imputation",2.695100307E-2,{"$f":"H1558*((0.1+(2*0.7)))","v":4.0426504604999997E-2}]
["Sao Tome and Principe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","STP - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.7146034239999999,"Imputation",3.714603424E-2,{"$f":"H1559*((0.1+(2*0.6)))","v":4.8289844512000003E-2}]
["Sao Tome and Principe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","STP - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.9388942719999998,"Imputation",4.9388942719999995E-2,{"$f":"H1560*((0.1+(2*0.5)))","v":5.4327836992E-2}]
["Sao Tome and Principe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","STP - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.2364587780000003,"Imputation",6.2364587780000001E-2,{"$f":"H1561*((0.1+(2*0.4)))","v":5.6128129002000003E-2}]
["Sao Tome and Principe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","STP - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.2776355739999996,"Imputation",8.2776355740000002E-2,{"$f":"H1562*((0.1+(2*0.3)))","v":5.7943449017999998E-2}]
["Sao Tome and Principe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","STP - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.842742919999999,"Imputation",0.10842742919999999,{"$f":"H1563*((0.1+(2*0.2)))","v":5.4213714599999997E-2}]
["Sao Tome and Principe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","STP - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.582427979999999,"Imputation",0.16582427979999997,{"$f":"H1564*((0.1+(2*0.1)))","v":4.9747283939999998E-2}]
["Sao Tome and Principe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","STP - ILO - ILO modelled estimates","Decile: Decile 10",2017,44.232490540000001,"Imputation",0.44232490540000002,{"$f":"H1565*((0.1+(2*0)))","v":4.4232490540000002E-2},{"$f":"1-(I1556+I1557+I1558+I1559+I1560+I1561+I1562+I1563+I1564+I1565)","v":0.55102835512499992}]
["Suriname","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SUR - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.1040493250000001,"Imputation",{"$f":"F1566/100","v":1.104049325E-2},{"$f":"H1566*((0.1+(2*0.9)))","v":2.0976937175000002E-2}]
["Suriname","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SUR - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.5912990570000001,"Imputation",{"$f":"F1567/100","v":2.5912990570000002E-2},{"$f":"H1567*((0.1+(2*0.8)))","v":4.4052083969000011E-2}]
["Suriname","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SUR - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.0487160680000001,"Imputation",4.0487160680000002E-2,{"$f":"H1568*((0.1+(2*0.7)))","v":6.0730741020000006E-2}]
["Suriname","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SUR - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.4292054179999996,"Imputation",5.4292054179999993E-2,{"$f":"H1569*((0.1+(2*0.6)))","v":7.0579670434E-2}]
["Suriname","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SUR - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.8717255589999997,"Imputation",6.8717255589999998E-2,{"$f":"H1570*((0.1+(2*0.5)))","v":7.5588981149000006E-2}]
["Suriname","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SUR - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.6001043320000008,"Imputation",8.6001043320000012E-2,{"$f":"H1571*((0.1+(2*0.4)))","v":7.7400938988000018E-2}]
["Suriname","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SUR - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.799242019999999,"Imputation",0.10799242019999999,{"$f":"H1572*((0.1+(2*0.3)))","v":7.5594694139999988E-2}]
["Suriname","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SUR - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.294959070000001,"Imputation",0.13294959070000001,{"$f":"H1573*((0.1+(2*0.2)))","v":6.6474795350000004E-2}]
["Suriname","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SUR - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.290924069999999,"Imputation",0.17290924069999999,{"$f":"H1574*((0.1+(2*0.1)))","v":5.1872772210000008E-2}]
["Suriname","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SUR - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.969795229999999,"Imputation",0.29969795230000001,{"$f":"H1575*((0.1+(2*0)))","v":2.9969795230000002E-2},{"$f":"1-(I1566+I1567+I1568+I1569+I1570+I1571+I1572+I1573+I1574+I1575)","v":0.42675859033499997}]
["Slovak Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVK - ILO - ILO modelled estimates","Decile: Decile 1",2017,3.8812506199999999,"Model-based extrapolation",{"$f":"F1576/100","v":3.8812506199999999E-2},{"$f":"H1576*((0.1+(2*0.9)))","v":7.374376178E-2}]
["Slovak Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVK - ILO - ILO modelled estimates","Decile: Decile 2",2017,5.539773941,"Model-based extrapolation",{"$f":"F1577/100","v":5.5397739410000001E-2},{"$f":"H1577*((0.1+(2*0.8)))","v":9.4176156997000007E-2}]
["Slovak Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVK - ILO - ILO modelled estimates","Decile: Decile 3",2017,6.7246437070000002,"Model-based extrapolation",6.7246437069999998E-2,{"$f":"H1578*((0.1+(2*0.7)))","v":0.100869655605}]
["Slovak Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVK - ILO - ILO modelled estimates","Decile: Decile 4",2017,7.3479976650000003,"Model-based extrapolation",7.3479976650000001E-2,{"$f":"H1579*((0.1+(2*0.6)))","v":9.5523969644999998E-2}]
["Slovak Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVK - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.3354406359999995,"Model-based extrapolation",8.3354406359999994E-2,{"$f":"H1580*((0.1+(2*0.5)))","v":9.1689846995999996E-2}]
["Slovak Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVK - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.1803150179999999,"Model-based extrapolation",9.1803150180000001E-2,{"$f":"H1581*((0.1+(2*0.4)))","v":8.2622835162000002E-2}]
["Slovak Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVK - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.226466179999999,"Model-based extrapolation",0.10226466179999999,{"$f":"H1582*((0.1+(2*0.3)))","v":7.158526325999999E-2}]
["Slovak Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVK - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.677626610000001,"Model-based extrapolation",0.11677626610000001,{"$f":"H1583*((0.1+(2*0.2)))","v":5.8388133050000006E-2}]
["Slovak Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVK - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.126356120000001,"Model-based extrapolation",0.1412635612,{"$f":"H1584*((0.1+(2*0.1)))","v":4.2379068360000008E-2}]
["Slovak Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVK - ILO - ILO modelled estimates","Decile: Decile 10",2017,22.96011734,"Model-based extrapolation",0.2296011734,{"$f":"H1585*((0.1+(2*0)))","v":2.2960117340000002E-2},{"$f":"1-(I1576+I1577+I1578+I1579+I1580+I1581+I1582+I1583+I1584+I1585)","v":0.26606119180499987}]
["Slovenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVN - ILO - ILO modelled estimates","Decile: Decile 1",2017,3.1177415850000001,"Model-based extrapolation",{"$f":"F1586/100","v":3.1177415850000001E-2},{"$f":"H1586*((0.1+(2*0.9)))","v":5.9237090115000009E-2}]
["Slovenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVN - ILO - ILO modelled estimates","Decile: Decile 2",2017,5.4774694439999996,"Model-based extrapolation",{"$f":"F1587/100","v":5.4774694439999994E-2},{"$f":"H1587*((0.1+(2*0.8)))","v":9.3116980547999995E-2}]
["Slovenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVN - ILO - ILO modelled estimates","Decile: Decile 3",2017,6.2061033249999999,"Model-based extrapolation",6.2061033250000001E-2,{"$f":"H1588*((0.1+(2*0.7)))","v":9.3091549874999999E-2}]
["Slovenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVN - ILO - ILO modelled estimates","Decile: Decile 4",2017,7.0785856249999997,"Model-based extrapolation",7.0785856250000001E-2,{"$f":"H1589*((0.1+(2*0.6)))","v":9.2021613124999999E-2}]
["Slovenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVN - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.0842056269999993,"Model-based extrapolation",8.084205626999999E-2,{"$f":"H1590*((0.1+(2*0.5)))","v":8.8926261896999995E-2}]
["Slovenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVN - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.2121820450000005,"Model-based extrapolation",9.2121820450000003E-2,{"$f":"H1591*((0.1+(2*0.4)))","v":8.2909638405E-2}]
["Slovenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVN - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.51647472,"Model-based extrapolation",0.10516474719999999,{"$f":"H1592*((0.1+(2*0.3)))","v":7.3615323039999986E-2}]
["Slovenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVN - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.3076334,"Model-based extrapolation",0.12307633400000001,{"$f":"H1593*((0.1+(2*0.2)))","v":6.1538167000000005E-2}]
["Slovenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVN - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.7474308,"Model-based extrapolation",0.147474308,{"$f":"H1594*((0.1+(2*0.1)))","v":4.4242292400000008E-2}]
["Slovenia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SVN - ILO - ILO modelled estimates","Decile: Decile 10",2017,23.252162930000001,"Model-based extrapolation",0.2325216293,{"$f":"H1595*((0.1+(2*0)))","v":2.325216293E-2},{"$f":"1-(I1586+I1587+I1588+I1589+I1590+I1591+I1592+I1593+I1594+I1595)","v":0.28804892066499999}]
["Sweden","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWE - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.3675048350000001,"Model-based extrapolation",{"$f":"F1596/100","v":1.3675048350000002E-2},{"$f":"H1596*((0.1+(2*0.9)))","v":2.5982591865000005E-2}]
["Sweden","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWE - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.8356022830000001,"Model-based extrapolation",{"$f":"F1597/100","v":3.8356022830000003E-2},{"$f":"H1597*((0.1+(2*0.8)))","v":6.5205238811000016E-2}]
["Sweden","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWE - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.802445412,"Model-based extrapolation",5.8024454119999999E-2,{"$f":"H1598*((0.1+(2*0.7)))","v":8.7036681179999992E-2}]
["Sweden","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWE - ILO - ILO modelled estimates","Decile: Decile 4",2017,7.214168549,"Model-based extrapolation",7.2141685489999996E-2,{"$f":"H1599*((0.1+(2*0.6)))","v":9.3784191136999998E-2}]
["Sweden","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWE - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.2171287540000009,"Model-based extrapolation",8.2171287540000013E-2,{"$f":"H1600*((0.1+(2*0.5)))","v":9.0388416294000018E-2}]
["Sweden","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWE - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.1507797239999995,"Model-based extrapolation",9.1507797239999994E-2,{"$f":"H1601*((0.1+(2*0.4)))","v":8.2357017515999997E-2}]
["Sweden","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWE - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.191828729999999,"Model-based extrapolation",0.10191828729999999,{"$f":"H1602*((0.1+(2*0.3)))","v":7.1342801109999993E-2}]
["Sweden","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWE - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.765174869999999,"Model-based extrapolation",0.11765174869999999,{"$f":"H1603*((0.1+(2*0.2)))","v":5.8825874349999994E-2}]
["Sweden","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWE - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.438258169999999,"Model-based extrapolation",0.14438258169999998,{"$f":"H1604*((0.1+(2*0.1)))","v":4.3314774510000001E-2}]
["Sweden","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWE - ILO - ILO modelled estimates","Decile: Decile 10",2017,28.017116550000001,"Model-based extrapolation",0.28017116549999999,{"$f":"H1605*((0.1+(2*0)))","v":2.8017116549999999E-2},{"$f":"1-(I1596+I1597+I1598+I1599+I1600+I1601+I1602+I1603+I1604+I1605)","v":0.35374529667700005}]
["Eswatini","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWZ - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.92294699000000002,"Imputation",{"$f":"F1606/100","v":9.2294699000000004E-3},{"$f":"H1606*((0.1+(2*0.9)))","v":1.7535992810000001E-2}]
["Eswatini","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWZ - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.110826731,"Imputation",{"$f":"F1607/100","v":2.1108267309999998E-2},{"$f":"H1607*((0.1+(2*0.8)))","v":3.5884054427000003E-2}]
["Eswatini","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWZ - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.244273663,"Imputation",3.2442736629999996E-2,{"$f":"H1608*((0.1+(2*0.7)))","v":4.8664104944999995E-2}]
["Eswatini","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWZ - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.365270615,"Imputation",4.3652706149999998E-2,{"$f":"H1609*((0.1+(2*0.6)))","v":5.6748517994999997E-2}]
["Eswatini","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWZ - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.5680084230000002,"Imputation",5.5680084230000003E-2,{"$f":"H1610*((0.1+(2*0.5)))","v":6.1248092653000005E-2}]
["Eswatini","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWZ - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.9212260250000002,"Imputation",6.9212260250000004E-2,{"$f":"H1611*((0.1+(2*0.4)))","v":6.2291034225000007E-2}]
["Eswatini","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWZ - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.7727603910000003,"Imputation",8.7727603910000007E-2,{"$f":"H1612*((0.1+(2*0.3)))","v":6.1409322736999998E-2}]
["Eswatini","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWZ - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.321961399999999,"Imputation",0.113219614,{"$f":"H1613*((0.1+(2*0.2)))","v":5.6609806999999998E-2}]
["Eswatini","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWZ - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.693820949999999,"Imputation",0.16693820949999999,{"$f":"H1614*((0.1+(2*0.1)))","v":5.0081462850000001E-2}]
["Eswatini","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SWZ - ILO - ILO modelled estimates","Decile: Decile 10",2017,40.078891749999997,"Imputation",0.40078891749999995,{"$f":"H1615*((0.1+(2*0)))","v":4.0078891749999998E-2},{"$f":"1-(I1606+I1607+I1608+I1609+I1610+I1611+I1612+I1613+I1614+I1615)","v":0.50944871860800001}]
["Syrian Arab Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SYR - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.78561389400000003,"Imputation",{"$f":"F1616/100","v":7.8561389400000001E-3},{"$f":"H1616*((0.1+(2*0.9)))","v":1.4926663986000002E-2}]
["Syrian Arab Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SYR - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.827536225,"Imputation",{"$f":"F1617/100","v":1.827536225E-2},{"$f":"H1617*((0.1+(2*0.8)))","v":3.1068115825000003E-2}]
["Syrian Arab Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SYR - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.8659248349999999,"Imputation",2.8659248349999999E-2,{"$f":"H1618*((0.1+(2*0.7)))","v":4.2988872524999999E-2}]
["Syrian Arab Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SYR - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.9468533990000001,"Imputation",3.9468533989999999E-2,{"$f":"H1619*((0.1+(2*0.6)))","v":5.1309094186999998E-2}]
["Syrian Arab Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SYR - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.2349953649999996,"Imputation",5.2349953649999996E-2,{"$f":"H1620*((0.1+(2*0.5)))","v":5.7584949014999998E-2}]
["Syrian Arab Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SYR - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.5449209210000001,"Imputation",6.5449209209999998E-2,{"$f":"H1621*((0.1+(2*0.4)))","v":5.8904288288999997E-2}]
["Syrian Arab Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SYR - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.7566537859999993,"Imputation",8.7566537859999988E-2,{"$f":"H1622*((0.1+(2*0.3)))","v":6.1296576501999989E-2}]
["Syrian Arab Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SYR - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.35309601,"Imputation",0.11353096009999999,{"$f":"H1623*((0.1+(2*0.2)))","v":5.6765480049999997E-2}]
["Syrian Arab Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SYR - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.118167880000001,"Imputation",0.17118167880000001,{"$f":"H1624*((0.1+(2*0.1)))","v":5.1354503640000014E-2}]
["Syrian Arab Republic","Labour income distribution -- ILO modelled estimates, July 2019 (%)","SYR - ILO - ILO modelled estimates","Decile: Decile 10",2017,41.566246030000002,"Imputation",0.41566246030000004,{"$f":"H1625*((0.1+(2*0)))","v":4.1566246030000004E-2},{"$f":"1-(I1616+I1617+I1618+I1619+I1620+I1621+I1622+I1623+I1624+I1625)","v":0.53223520995100004}]
["Chad","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TCD - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.154849395,"Imputation",{"$f":"F1626/100","v":1.5484939500000001E-3},{"$f":"H1626*((0.1+(2*0.9)))","v":2.9421385050000005E-3}]
["Chad","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TCD - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.208078921,"Imputation",{"$f":"F1627/100","v":2.08078921E-3},{"$f":"H1627*((0.1+(2*0.8)))","v":3.5373416570000002E-3}]
["Chad","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TCD - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.21046258500000001,"Imputation",2.1046258500000002E-3,{"$f":"H1628*((0.1+(2*0.7)))","v":3.1569387750000006E-3}]
["Chad","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TCD - ILO - ILO modelled estimates","Decile: Decile 4",2017,0.44036459900000002,"Imputation",4.4036459899999998E-3,{"$f":"H1629*((0.1+(2*0.6)))","v":5.7247397870000003E-3}]
["Chad","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TCD - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.1088676449999999,"Imputation",1.108867645E-2,{"$f":"H1630*((0.1+(2*0.5)))","v":1.2197544095E-2}]
["Chad","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TCD - ILO - ILO modelled estimates","Decile: Decile 6",2017,2.1819880010000001,"Imputation",2.1819880010000001E-2,{"$f":"H1631*((0.1+(2*0.4)))","v":1.9637892009000003E-2}]
["Chad","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TCD - ILO - ILO modelled estimates","Decile: Decile 7",2017,3.0080366129999998,"Imputation",3.0080366129999998E-2,{"$f":"H1632*((0.1+(2*0.3)))","v":2.1056256290999997E-2}]
["Chad","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TCD - ILO - ILO modelled estimates","Decile: Decile 8",2017,5.312183857,"Imputation",5.3121838569999996E-2,{"$f":"H1633*((0.1+(2*0.2)))","v":2.6560919284999998E-2}]
["Chad","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TCD - ILO - ILO modelled estimates","Decile: Decile 9",2017,11.4929924,"Imputation",0.114929924,{"$f":"H1634*((0.1+(2*0.1)))","v":3.4478977200000004E-2}]
["Chad","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TCD - ILO - ILO modelled estimates","Decile: Decile 10",2017,75.882179260000001,"Imputation",0.75882179260000004,{"$f":"H1635*((0.1+(2*0)))","v":7.5882179260000016E-2},{"$f":"1-(I1626+I1627+I1628+I1629+I1630+I1631+I1632+I1633+I1634+I1635)","v":0.79482507313600004}]
["Togo","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TGO - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.42046254900000002,"Imputation",{"$f":"F1636/100","v":4.2046254899999998E-3},{"$f":"H1636*((0.1+(2*0.9)))","v":7.9887884309999997E-3}]
["Togo","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TGO - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.86544191800000003,"Imputation",{"$f":"F1637/100","v":8.654419180000001E-3},{"$f":"H1637*((0.1+(2*0.8)))","v":1.4712512606000002E-2}]
["Togo","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TGO - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.383490562,"Imputation",1.3834905619999999E-2,{"$f":"H1638*((0.1+(2*0.7)))","v":2.0752358429999999E-2}]
["Togo","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TGO - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.0611009600000001,"Imputation",2.0611009600000001E-2,{"$f":"H1639*((0.1+(2*0.6)))","v":2.6794312480000002E-2}]
["Togo","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TGO - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.10561657,"Imputation",3.1056165699999999E-2,{"$f":"H1640*((0.1+(2*0.5)))","v":3.4161782270000003E-2}]
["Togo","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TGO - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.2897157669999997,"Imputation",4.2897157669999998E-2,{"$f":"H1641*((0.1+(2*0.4)))","v":3.8607441903E-2}]
["Togo","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TGO - ILO - ILO modelled estimates","Decile: Decile 7",2017,6.0120301249999999,"Imputation",6.0120301250000001E-2,{"$f":"H1642*((0.1+(2*0.3)))","v":4.2084210875E-2}]
["Togo","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TGO - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.4939966200000008,"Imputation",8.4939966200000008E-2,{"$f":"H1643*((0.1+(2*0.2)))","v":4.2469983100000004E-2}]
["Togo","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TGO - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.6457262,"Imputation",0.146457262,{"$f":"H1644*((0.1+(2*0.1)))","v":4.3937178600000008E-2}]
["Togo","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TGO - ILO - ILO modelled estimates","Decile: Decile 10",2017,58.722427369999998,"Imputation",0.58722427369999997,{"$f":"H1645*((0.1+(2*0)))","v":5.8722427369999997E-2},{"$f":"1-(I1636+I1637+I1638+I1639+I1640+I1641+I1642+I1643+I1644+I1645)","v":0.66976900393499994}]
["Thailand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","THA - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.2675125599999999,null,{"$f":"F1646/100","v":1.2675125599999998E-2},{"$f":"H1646*((0.1+(2*0.9)))","v":2.4082738639999997E-2}]
["Thailand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","THA - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.29742837,null,{"$f":"F1647/100","v":2.2974283700000001E-2},{"$f":"H1647*((0.1+(2*0.8)))","v":3.9056282290000008E-2}]
["Thailand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","THA - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.1837179660000001,null,3.1837179659999999E-2,{"$f":"H1648*((0.1+(2*0.7)))","v":4.7755769490000002E-2}]
["Thailand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","THA - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.3176689149999996,null,4.3176689149999996E-2,{"$f":"H1649*((0.1+(2*0.6)))","v":5.6129695894999998E-2}]
["Thailand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","THA - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.8680481909999997,null,5.8680481909999999E-2,{"$f":"H1650*((0.1+(2*0.5)))","v":6.4548530101000007E-2}]
["Thailand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","THA - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.7704954150000001,null,7.7704954150000005E-2,{"$f":"H1651*((0.1+(2*0.4)))","v":6.993445873500001E-2}]
["Thailand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","THA - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.5005531310000002,null,9.5005531310000002E-2,{"$f":"H1652*((0.1+(2*0.3)))","v":6.6503871916999996E-2}]
["Thailand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","THA - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.18600273,null,0.12186002730000001,{"$f":"H1653*((0.1+(2*0.2)))","v":6.0930013650000003E-2}]
["Thailand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","THA - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.091377260000002,null,0.17091377260000001,{"$f":"H1654*((0.1+(2*0.1)))","v":5.127413178000001E-2}]
["Thailand","Labour income distribution -- ILO modelled estimates, July 2019 (%)","THA - ILO - ILO modelled estimates","Decile: Decile 10",2017,36.517196660000003,null,0.36517196660000001,{"$f":"H1655*((0.1+(2*0)))","v":3.6517196660000001E-2},{"$f":"1-(I1646+I1647+I1648+I1649+I1650+I1651+I1652+I1653+I1654+I1655)","v":0.48326731084200003}]
["Tajikistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TJK - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.39064469899999998,"Model-based extrapolation",{"$f":"F1656/100","v":3.9064469899999996E-3},{"$f":"H1656*((0.1+(2*0.9)))","v":7.4222492809999999E-3}]
["Tajikistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TJK - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.358162522,"Model-based extrapolation",{"$f":"F1657/100","v":1.3581625219999999E-2},{"$f":"H1657*((0.1+(2*0.8)))","v":2.3088762874E-2}]
["Tajikistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TJK - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.3385763169999998,"Model-based extrapolation",2.3385763169999997E-2,{"$f":"H1658*((0.1+(2*0.7)))","v":3.5078644754999999E-2}]
["Tajikistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TJK - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.238341331,"Model-based extrapolation",3.2383413309999998E-2,{"$f":"H1659*((0.1+(2*0.6)))","v":4.2098437302999996E-2}]
["Tajikistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TJK - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.6727952960000003,"Model-based extrapolation",4.6727952960000006E-2,{"$f":"H1660*((0.1+(2*0.5)))","v":5.1400748256000009E-2}]
["Tajikistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TJK - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.3983631130000003,"Model-based extrapolation",6.3983631129999996E-2,{"$f":"H1661*((0.1+(2*0.4)))","v":5.7585268017000001E-2}]
["Tajikistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TJK - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.6779212950000009,"Model-based extrapolation",8.6779212950000004E-2,{"$f":"H1662*((0.1+(2*0.3)))","v":6.0745449064999998E-2}]
["Tajikistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TJK - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.248277659999999,"Model-based extrapolation",0.1224827766,{"$f":"H1663*((0.1+(2*0.2)))","v":6.1241388299999998E-2}]
["Tajikistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TJK - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.972484590000001,"Model-based extrapolation",0.18972484589999999,{"$f":"H1664*((0.1+(2*0.1)))","v":5.6917453770000008E-2}]
["Tajikistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TJK - ILO - ILO modelled estimates","Decile: Decile 10",2017,41.704433440000003,"Model-based extrapolation",0.41704433440000005,{"$f":"H1665*((0.1+(2*0)))","v":4.1704433440000008E-2},{"$f":"1-(I1656+I1657+I1658+I1659+I1660+I1661+I1662+I1663+I1664+I1665)","v":0.56271716493899993}]
["Turkmenistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TKM - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.044617176,"Imputation",{"$f":"F1666/100","v":2.044617176E-2},{"$f":"H1666*((0.1+(2*0.9)))","v":3.8847726344000001E-2}]
["Turkmenistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TKM - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.9281961920000001,"Imputation",{"$f":"F1667/100","v":3.9281961920000004E-2},{"$f":"H1667*((0.1+(2*0.8)))","v":6.6779335264000012E-2}]
["Turkmenistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TKM - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.1309642789999996,"Imputation",5.1309642789999999E-2,{"$f":"H1668*((0.1+(2*0.7)))","v":7.6964464184999998E-2}]
["Turkmenistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TKM - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.232804775,"Imputation",6.2328047749999997E-2,{"$f":"H1669*((0.1+(2*0.6)))","v":8.1026462075E-2}]
["Turkmenistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TKM - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.3781366349999997,"Imputation",7.3781366350000002E-2,{"$f":"H1670*((0.1+(2*0.5)))","v":8.1159502985000007E-2}]
["Turkmenistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TKM - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.4723377230000008,"Imputation",8.4723377230000008E-2,{"$f":"H1671*((0.1+(2*0.4)))","v":7.6251039507000004E-2}]
["Turkmenistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TKM - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.010706900000001,"Imputation",0.10010706900000001,{"$f":"H1672*((0.1+(2*0.3)))","v":7.0074948299999995E-2}]
["Turkmenistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TKM - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.93050766,"Imputation",0.1193050766,{"$f":"H1673*((0.1+(2*0.2)))","v":5.9652538300000002E-2}]
["Turkmenistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TKM - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.38311768,"Imputation",0.1538311768,{"$f":"H1674*((0.1+(2*0.1)))","v":4.6149353040000007E-2}]
["Turkmenistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TKM - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.488609310000001,"Imputation",0.29488609310000002,{"$f":"H1675*((0.1+(2*0)))","v":2.9488609310000004E-2},{"$f":"1-(I1666+I1667+I1668+I1669+I1670+I1671+I1672+I1673+I1674+I1675)","v":0.37360602068999993}]
["Timor-Leste","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TLS - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.47552925299999999,"Model-based extrapolation",{"$f":"F1676/100","v":4.75529253E-3},{"$f":"H1676*((0.1+(2*0.9)))","v":9.035055807E-3}]
["Timor-Leste","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TLS - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.1228272909999999,"Model-based extrapolation",{"$f":"F1677/100","v":1.1228272909999998E-2},{"$f":"H1677*((0.1+(2*0.8)))","v":1.9088063946999998E-2}]
["Timor-Leste","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TLS - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.684909105,"Model-based extrapolation",1.6849091050000001E-2,{"$f":"H1678*((0.1+(2*0.7)))","v":2.5273636575000001E-2}]
["Timor-Leste","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TLS - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.2142395970000002,"Model-based extrapolation",2.2142395970000003E-2,{"$f":"H1679*((0.1+(2*0.6)))","v":2.8785114761000003E-2}]
["Timor-Leste","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TLS - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.8392510409999998,"Model-based extrapolation",2.8392510409999999E-2,{"$f":"H1680*((0.1+(2*0.5)))","v":3.1231761451000001E-2}]
["Timor-Leste","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TLS - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.7719774250000002,"Model-based extrapolation",3.7719774250000004E-2,{"$f":"H1681*((0.1+(2*0.4)))","v":3.3947796825000008E-2}]
["Timor-Leste","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TLS - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.7589421270000001,"Model-based extrapolation",5.7589421270000003E-2,{"$f":"H1682*((0.1+(2*0.3)))","v":4.0312594888999999E-2}]
["Timor-Leste","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TLS - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.129720689999999,"Model-based extrapolation",0.11129720689999999,{"$f":"H1683*((0.1+(2*0.2)))","v":5.5648603449999993E-2}]
["Timor-Leste","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TLS - ILO - ILO modelled estimates","Decile: Decile 9",2017,19.044729230000002,"Model-based extrapolation",0.19044729230000002,{"$f":"H1684*((0.1+(2*0.1)))","v":5.7134187690000011E-2}]
["Timor-Leste","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TLS - ILO - ILO modelled estimates","Decile: Decile 10",2017,51.957878110000003,"Model-based extrapolation",0.5195787811,{"$f":"H1685*((0.1+(2*0)))","v":5.1957878110000001E-2},{"$f":"1-(I1676+I1677+I1678+I1679+I1680+I1681+I1682+I1683+I1684+I1685)","v":0.6475853064949999}]
["Tonga","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TON - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.69809311600000001,"Imputation",{"$f":"F1686/100","v":6.9809311600000003E-3},{"$f":"H1686*((0.1+(2*0.9)))","v":1.3263769204000001E-2}]
["Tonga","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TON - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.583200097,"Imputation",{"$f":"F1687/100","v":1.5832000969999999E-2},{"$f":"H1687*((0.1+(2*0.8)))","v":2.6914401649000001E-2}]
["Tonga","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TON - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.578970671,"Imputation",2.5789706709999999E-2,{"$f":"H1688*((0.1+(2*0.7)))","v":3.8684560064999998E-2}]
["Tonga","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TON - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.7847712040000001,"Imputation",3.7847712040000002E-2,{"$f":"H1689*((0.1+(2*0.6)))","v":4.9202025652000006E-2}]
["Tonga","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TON - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.2528858180000002,"Imputation",5.2528858179999999E-2,{"$f":"H1690*((0.1+(2*0.5)))","v":5.7781743998000006E-2}]
["Tonga","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TON - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.0233821870000002,"Imputation",7.0233821870000004E-2,{"$f":"H1691*((0.1+(2*0.4)))","v":6.3210439683000011E-2}]
["Tonga","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TON - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.6360721589999994,"Imputation",9.636072158999999E-2,{"$f":"H1692*((0.1+(2*0.3)))","v":6.7452505112999994E-2}]
["Tonga","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TON - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.694072719999999,"Imputation",0.12694072719999999,{"$f":"H1693*((0.1+(2*0.2)))","v":6.3470363599999996E-2}]
["Tonga","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TON - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.8345871,"Imputation",0.17834587099999999,{"$f":"H1694*((0.1+(2*0.1)))","v":5.3503761300000008E-2}]
["Tonga","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TON - ILO - ILO modelled estimates","Decile: Decile 10",2017,38.913963320000001,"Imputation",0.3891396332,{"$f":"H1695*((0.1+(2*0)))","v":3.8913963320000002E-2},{"$f":"1-(I1686+I1687+I1688+I1689+I1690+I1691+I1692+I1693+I1694+I1695)","v":0.52760246641599995}]
["Trinidad and Tobago","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TTO - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.15712595,"Imputation",{"$f":"F1696/100","v":1.15712595E-2},{"$f":"H1696*((0.1+(2*0.9)))","v":2.1985393050000003E-2}]
["Trinidad and Tobago","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TTO - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.6675193309999998,"Imputation",{"$f":"F1697/100","v":2.6675193309999998E-2},{"$f":"H1697*((0.1+(2*0.8)))","v":4.5347828627E-2}]
["Trinidad and Tobago","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TTO - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.1184935569999999,"Imputation",4.1184935569999997E-2,{"$f":"H1698*((0.1+(2*0.7)))","v":6.1777403354999996E-2}]
["Trinidad and Tobago","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TTO - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.466655254,"Imputation",5.4666552539999996E-2,{"$f":"H1699*((0.1+(2*0.6)))","v":7.1066518302000004E-2}]
["Trinidad and Tobago","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TTO - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.8045926090000002,"Imputation",6.804592609E-2,{"$f":"H1700*((0.1+(2*0.5)))","v":7.4850518699000002E-2}]
["Trinidad and Tobago","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TTO - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.5452823640000002,"Imputation",8.5452823640000009E-2,{"$f":"H1701*((0.1+(2*0.4)))","v":7.690754127600001E-2}]
["Trinidad and Tobago","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TTO - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.368927960000001,"Imputation",0.1036892796,{"$f":"H1702*((0.1+(2*0.3)))","v":7.2582495720000001E-2}]
["Trinidad and Tobago","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TTO - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.809007640000001,"Imputation",0.1280900764,{"$f":"H1703*((0.1+(2*0.2)))","v":6.4045038200000001E-2}]
["Trinidad and Tobago","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TTO - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.558795929999999,"Imputation",0.16558795929999998,{"$f":"H1704*((0.1+(2*0.1)))","v":4.9676387789999998E-2}]
["Trinidad and Tobago","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TTO - ILO - ILO modelled estimates","Decile: Decile 10",2017,31.503597259999999,"Imputation",0.31503597259999999,{"$f":"H1705*((0.1+(2*0)))","v":3.1503597260000002E-2},{"$f":"1-(I1696+I1697+I1698+I1699+I1700+I1701+I1702+I1703+I1704+I1705)","v":0.43025727772099998}]
["Tunisia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUN - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.99665910000000002,"Imputation",{"$f":"F1706/100","v":9.9665910000000003E-3},{"$f":"H1706*((0.1+(2*0.9)))","v":1.8936522900000002E-2}]
["Tunisia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUN - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.2796750069999998,"Imputation",{"$f":"F1707/100","v":2.2796750069999996E-2},{"$f":"H1707*((0.1+(2*0.8)))","v":3.8754475119000001E-2}]
["Tunisia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUN - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.4856328959999998,"Imputation",3.4856328959999995E-2,{"$f":"H1708*((0.1+(2*0.7)))","v":5.2284493439999996E-2}]
["Tunisia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUN - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.6519765849999999,"Imputation",4.6519765849999999E-2,{"$f":"H1709*((0.1+(2*0.6)))","v":6.0475695604999997E-2}]
["Tunisia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUN - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.8469905850000004,"Imputation",5.8469905850000004E-2,{"$f":"H1710*((0.1+(2*0.5)))","v":6.4316896435000007E-2}]
["Tunisia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUN - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.2253155710000003,"Imputation",7.2253155710000003E-2,{"$f":"H1711*((0.1+(2*0.4)))","v":6.5027840139000009E-2}]
["Tunisia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUN - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.9984264369999902,"Imputation",8.99842643699999E-2,{"$f":"H1712*((0.1+(2*0.3)))","v":6.2988985058999927E-2}]
["Tunisia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUN - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.541520119999999,"Imputation",0.1154152012,{"$f":"H1713*((0.1+(2*0.2)))","v":5.7707600599999999E-2}]
["Tunisia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUN - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.755153660000001,"Imputation",0.16755153660000002,{"$f":"H1714*((0.1+(2*0.1)))","v":5.0265460980000017E-2}]
["Tunisia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUN - ILO - ILO modelled estimates","Decile: Decile 10",2017,38.218639369999998,"Imputation",0.38218639369999996,{"$f":"H1715*((0.1+(2*0)))","v":3.8218639370000002E-2},{"$f":"1-(I1706+I1707+I1708+I1709+I1710+I1711+I1712+I1713+I1714+I1715)","v":0.49102339035300002}]
["Turkey","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUR - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.81701105799999996,"Model-based extrapolation",{"$f":"F1716/100","v":8.1701105799999989E-3},{"$f":"H1716*((0.1+(2*0.9)))","v":1.5523210102E-2}]
["Turkey","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUR - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.0710022449999999,"Model-based extrapolation",{"$f":"F1717/100","v":2.0710022449999997E-2},{"$f":"H1717*((0.1+(2*0.8)))","v":3.5207038164999996E-2}]
["Turkey","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUR - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.8622562889999998,"Model-based extrapolation",3.8622562889999996E-2,{"$f":"H1718*((0.1+(2*0.7)))","v":5.7933844334999998E-2}]
["Turkey","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUR - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.2484683990000001,"Model-based extrapolation",6.2484683989999998E-2,{"$f":"H1719*((0.1+(2*0.6)))","v":8.1230089187000004E-2}]
["Turkey","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUR - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.4843959809999996,"Model-based extrapolation",7.4843959809999999E-2,{"$f":"H1720*((0.1+(2*0.5)))","v":8.2328355791000007E-2}]
["Turkey","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUR - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.3888082500000003,"Model-based extrapolation",8.3888082500000002E-2,{"$f":"H1721*((0.1+(2*0.4)))","v":7.5499274249999998E-2}]
["Turkey","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUR - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.301595689999999,"Model-based extrapolation",0.1030159569,{"$f":"H1722*((0.1+(2*0.3)))","v":7.2111169829999988E-2}]
["Turkey","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUR - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.02156067,"Model-based extrapolation",0.13021560669999999,{"$f":"H1723*((0.1+(2*0.2)))","v":6.5107803349999993E-2}]
["Turkey","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUR - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.835855479999999,"Model-based extrapolation",0.17835855479999999,{"$f":"H1724*((0.1+(2*0.1)))","v":5.3507566440000001E-2}]
["Turkey","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TUR - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.969060899999999,"Model-based extrapolation",0.299690609,{"$f":"H1725*((0.1+(2*0)))","v":2.99690609E-2},{"$f":"1-(I1716+I1717+I1718+I1719+I1720+I1721+I1722+I1723+I1724+I1725)","v":0.43158258765000002}]
["Taiwan, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TWN - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.119723797,"Imputation",{"$f":"F1726/100","v":1.1197237970000001E-2},{"$f":"H1726*((0.1+(2*0.9)))","v":2.1274752143000002E-2}]
["Taiwan, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TWN - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.5345401760000001,"Imputation",{"$f":"F1727/100","v":2.534540176E-2},{"$f":"H1727*((0.1+(2*0.8)))","v":4.3087182992000005E-2}]
["Taiwan, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TWN - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.9245021339999999,"Imputation",3.9245021339999998E-2,{"$f":"H1728*((0.1+(2*0.7)))","v":5.8867532010000001E-2}]
["Taiwan, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TWN - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.3641710280000003,"Imputation",5.3641710280000005E-2,{"$f":"H1729*((0.1+(2*0.6)))","v":6.9734223364000009E-2}]
["Taiwan, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TWN - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.7547769549999996,"Imputation",6.7547769549999997E-2,{"$f":"H1730*((0.1+(2*0.5)))","v":7.4302546504999997E-2}]
["Taiwan, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TWN - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.6543655400000006,"Imputation",8.6543655400000002E-2,{"$f":"H1731*((0.1+(2*0.4)))","v":7.7889289860000002E-2}]
["Taiwan, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TWN - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.70437336,"Imputation",0.1070437336,{"$f":"H1732*((0.1+(2*0.3)))","v":7.4930613519999995E-2}]
["Taiwan, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TWN - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.70032883,"Imputation",0.1370032883,{"$f":"H1733*((0.1+(2*0.2)))","v":6.8501644149999999E-2}]
["Taiwan, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TWN - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.90353584,"Imputation",0.17903535840000001,{"$f":"H1734*((0.1+(2*0.1)))","v":5.3710607520000009E-2}]
["Taiwan, China","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TWN - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.339687349999998,"Imputation",0.29339687349999999,{"$f":"H1735*((0.1+(2*0)))","v":2.9339687350000001E-2},{"$f":"1-(I1726+I1727+I1728+I1729+I1730+I1731+I1732+I1733+I1734+I1735)","v":0.42836192058599987}]
["Tanzania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TZA - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.30790090599999997,"Model-based extrapolation",{"$f":"F1736/100","v":3.0790090599999999E-3},{"$f":"H1736*((0.1+(2*0.9)))","v":5.8501172140000002E-3}]
["Tanzania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TZA - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.96614855499999996,"Model-based extrapolation",{"$f":"F1737/100","v":9.6614855499999996E-3},{"$f":"H1737*((0.1+(2*0.8)))","v":1.6424525435E-2}]
["Tanzania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TZA - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.6877317430000001,"Model-based extrapolation",1.687731743E-2,{"$f":"H1738*((0.1+(2*0.7)))","v":2.5315976145000002E-2}]
["Tanzania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TZA - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.3026478290000001,"Model-based extrapolation",2.3026478289999999E-2,{"$f":"H1739*((0.1+(2*0.6)))","v":2.9934421776999998E-2}]
["Tanzania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TZA - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.1965713500000001,"Model-based extrapolation",3.19657135E-2,{"$f":"H1740*((0.1+(2*0.5)))","v":3.5162284850000003E-2}]
["Tanzania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TZA - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.2317223549999996,"Model-based extrapolation",4.2317223549999998E-2,{"$f":"H1741*((0.1+(2*0.4)))","v":3.8085501194999996E-2}]
["Tanzania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TZA - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.4657907489999999,"Model-based extrapolation",5.4657907489999998E-2,{"$f":"H1742*((0.1+(2*0.3)))","v":3.8260535242999993E-2}]
["Tanzania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TZA - ILO - ILO modelled estimates","Decile: Decile 8",2017,7.362003326,"Model-based extrapolation",7.3620033259999995E-2,{"$f":"H1743*((0.1+(2*0.2)))","v":3.6810016629999998E-2}]
["Tanzania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TZA - ILO - ILO modelled estimates","Decile: Decile 9",2017,12.180345539999999,"Model-based extrapolation",0.1218034554,{"$f":"H1744*((0.1+(2*0.1)))","v":3.6541036620000002E-2}]
["Tanzania","Labour income distribution -- ILO modelled estimates, July 2019 (%)","TZA - ILO - ILO modelled estimates","Decile: Decile 10",2017,62.299144740000003,"Model-based extrapolation",0.62299144740000001,{"$f":"H1745*((0.1+(2*0)))","v":6.2299144740000006E-2},{"$f":"1-(I1736+I1737+I1738+I1739+I1740+I1741+I1742+I1743+I1744+I1745)","v":0.67531644015100001}]
["Uganda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UGA - ILO - ILO modelled estimates","Decile: Decile 1",2017,8.6614884000000003E-2,"Model-based extrapolation",{"$f":"F1746/100","v":8.6614884000000007E-4},{"$f":"H1746*((0.1+(2*0.9)))","v":1.6456827960000002E-3}]
["Uganda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UGA - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.28008961700000001,"Model-based extrapolation",{"$f":"F1747/100","v":2.80089617E-3},{"$f":"H1747*((0.1+(2*0.8)))","v":4.7615234890000004E-3}]
["Uganda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UGA - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.48884847799999998,"Model-based extrapolation",4.8884847799999997E-3,{"$f":"H1748*((0.1+(2*0.7)))","v":7.3327271699999991E-3}]
["Uganda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UGA - ILO - ILO modelled estimates","Decile: Decile 4",2017,0.70671844500000003,"Model-based extrapolation",7.0671844500000006E-3,{"$f":"H1749*((0.1+(2*0.6)))","v":9.1873397850000017E-3}]
["Uganda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UGA - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.0442451239999999,"Model-based extrapolation",1.0442451239999999E-2,{"$f":"H1750*((0.1+(2*0.5)))","v":1.1486696364E-2}]
["Uganda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UGA - ILO - ILO modelled estimates","Decile: Decile 6",2017,1.517136931,"Model-based extrapolation",1.517136931E-2,{"$f":"H1751*((0.1+(2*0.4)))","v":1.3654232379E-2}]
["Uganda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UGA - ILO - ILO modelled estimates","Decile: Decile 7",2017,2.373382807,"Model-based extrapolation",2.3733828070000001E-2,{"$f":"H1752*((0.1+(2*0.3)))","v":1.6613679648999999E-2}]
["Uganda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UGA - ILO - ILO modelled estimates","Decile: Decile 8",2017,4.9793295860000004,"Model-based extrapolation",4.9793295860000003E-2,{"$f":"H1753*((0.1+(2*0.2)))","v":2.4896647930000002E-2}]
["Uganda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UGA - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.68923187,"Model-based extrapolation",0.1468923187,{"$f":"H1754*((0.1+(2*0.1)))","v":4.4067695610000006E-2}]
["Uganda","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UGA - ILO - ILO modelled estimates","Decile: Decile 10",2017,73.834403989999998,"Model-based extrapolation",0.73834403989999997,{"$f":"H1755*((0.1+(2*0)))","v":7.3834403990000005E-2},{"$f":"1-(I1746+I1747+I1748+I1749+I1750+I1751+I1752+I1753+I1754+I1755)","v":0.79251937083800006}]
["Ukraine","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UKR - ILO - ILO modelled estimates","Decile: Decile 1",2017,2.0167915820000002,"Imputation",{"$f":"F1756/100","v":2.0167915820000003E-2},{"$f":"H1756*((0.1+(2*0.9)))","v":3.8319040058000006E-2}]
["Ukraine","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UKR - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.8994438649999998,"Imputation",{"$f":"F1757/100","v":3.8994438649999998E-2},{"$f":"H1757*((0.1+(2*0.8)))","v":6.6290545705000009E-2}]
["Ukraine","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UKR - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.1190385819999999,"Imputation",5.1190385819999996E-2,{"$f":"H1758*((0.1+(2*0.7)))","v":7.6785578729999998E-2}]
["Ukraine","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UKR - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.2563605310000003,"Imputation",6.2563605310000006E-2,{"$f":"H1759*((0.1+(2*0.6)))","v":8.1332686903000009E-2}]
["Ukraine","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UKR - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.4938063619999999,"Imputation",7.4938063619999995E-2,{"$f":"H1760*((0.1+(2*0.5)))","v":8.2431869982E-2}]
["Ukraine","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UKR - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.5804347990000007,"Imputation",8.5804347990000002E-2,{"$f":"H1761*((0.1+(2*0.4)))","v":7.7223913190999999E-2}]
["Ukraine","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UKR - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.438882830000001,"Imputation",0.10438882830000001,{"$f":"H1762*((0.1+(2*0.3)))","v":7.3072179809999999E-2}]
["Ukraine","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UKR - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.403899190000001,"Imputation",0.12403899190000001,{"$f":"H1763*((0.1+(2*0.2)))","v":6.2019495950000003E-2}]
["Ukraine","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UKR - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.04986954,"Imputation",0.1604986954,{"$f":"H1764*((0.1+(2*0.1)))","v":4.8149608620000006E-2}]
["Ukraine","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UKR - ILO - ILO modelled estimates","Decile: Decile 10",2017,27.741474149999998,"Imputation",0.27741474150000001,{"$f":"H1765*((0.1+(2*0)))","v":2.7741474150000001E-2},{"$f":"1-(I1756+I1757+I1758+I1759+I1760+I1761+I1762+I1763+I1764+I1765)","v":0.36663360690100011}]
["Uruguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","URY - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.93830686799999996,null,{"$f":"F1766/100","v":9.3830686800000004E-3},{"$f":"H1766*((0.1+(2*0.9)))","v":1.7827830492000003E-2}]
["Uruguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","URY - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.705816746,null,{"$f":"F1767/100","v":2.7058167460000001E-2},{"$f":"H1767*((0.1+(2*0.8)))","v":4.5998884682000009E-2}]
["Uruguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","URY - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.3373441699999997,null,4.3373441699999994E-2,{"$f":"H1768*((0.1+(2*0.7)))","v":6.5060162549999995E-2}]
["Uruguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","URY - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.8478164670000004,null,5.8478164670000006E-2,{"$f":"H1769*((0.1+(2*0.6)))","v":7.6021614071000013E-2}]
["Uruguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","URY - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.17577219,null,7.1757721900000002E-2,{"$f":"H1770*((0.1+(2*0.5)))","v":7.8933494090000014E-2}]
["Uruguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","URY - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.51956749,null,8.5195674900000004E-2,{"$f":"H1771*((0.1+(2*0.4)))","v":7.667610741E-2}]
["Uruguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","URY - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.1873951,null,0.101873951,{"$f":"H1772*((0.1+(2*0.3)))","v":7.1311765700000002E-2}]
["Uruguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","URY - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.31892204,null,0.12318922040000001,{"$f":"H1773*((0.1+(2*0.2)))","v":6.1594610200000004E-2}]
["Uruguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","URY - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.140106200000002,null,0.16140106200000001,{"$f":"H1774*((0.1+(2*0.1)))","v":4.8420318600000012E-2}]
["Uruguay","Labour income distribution -- ILO modelled estimates, July 2019 (%)","URY - ILO - ILO modelled estimates","Decile: Decile 10",2017,31.828950880000001,null,0.31828950880000001,{"$f":"H1775*((0.1+(2*0)))","v":3.1828950880000005E-2},{"$f":"1-(I1766+I1767+I1768+I1769+I1770+I1771+I1772+I1773+I1774+I1775)","v":0.42632626132499984}]
["United States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","USA - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.412936449,"Model-based extrapolation",{"$f":"F1776/100","v":1.4129364490000001E-2},{"$f":"H1776*((0.1+(2*0.9)))","v":2.6845792531000005E-2}]
["United States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","USA - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.0436344150000001,"Model-based extrapolation",{"$f":"F1777/100","v":3.0436344150000003E-2},{"$f":"H1777*((0.1+(2*0.8)))","v":5.174178505500001E-2}]
["United States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","USA - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.2841176990000003,"Model-based extrapolation",4.284117699E-2,{"$f":"H1778*((0.1+(2*0.7)))","v":6.4261765484999997E-2}]
["United States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","USA - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.4638285639999999,"Model-based extrapolation",5.4638285639999999E-2,{"$f":"H1779*((0.1+(2*0.6)))","v":7.1029771332000002E-2}]
["United States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","USA - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.6963391300000001,"Model-based extrapolation",6.6963391300000008E-2,{"$f":"H1780*((0.1+(2*0.5)))","v":7.3659730430000014E-2}]
["United States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","USA - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.1191692349999993,"Model-based extrapolation",8.1191692349999997E-2,{"$f":"H1781*((0.1+(2*0.4)))","v":7.3072523114999996E-2}]
["United States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","USA - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.7753448489999997,"Model-based extrapolation",9.7753448489999992E-2,{"$f":"H1782*((0.1+(2*0.3)))","v":6.842741394299999E-2}]
["United States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","USA - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.1374979,"Model-based extrapolation",0.12137497899999999,{"$f":"H1783*((0.1+(2*0.2)))","v":6.0687489499999997E-2}]
["United States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","USA - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.9487772,"Model-based extrapolation",0.159487772,{"$f":"H1784*((0.1+(2*0.1)))","v":4.7846331600000007E-2}]
["United States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","USA - ILO - ILO modelled estimates","Decile: Decile 10",2017,33.118350980000002,"Model-based extrapolation",0.3311835098,{"$f":"H1785*((0.1+(2*0)))","v":3.3118350980000003E-2},{"$f":"1-(I1776+I1777+I1778+I1779+I1780+I1781+I1782+I1783+I1784+I1785)","v":0.429309046029}]
["Uzbekistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UZB - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.8789910080000001,"Imputation",{"$f":"F1786/100","v":1.878991008E-2},{"$f":"H1786*((0.1+(2*0.9)))","v":3.5700829151999999E-2}]
["Uzbekistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UZB - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.5438117980000001,"Imputation",{"$f":"F1787/100","v":3.5438117980000003E-2},{"$f":"H1787*((0.1+(2*0.8)))","v":6.0244800566000012E-2}]
["Uzbekistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UZB - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.5767083169999996,"Imputation",4.5767083169999993E-2,{"$f":"H1788*((0.1+(2*0.7)))","v":6.8650624754999987E-2}]
["Uzbekistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UZB - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.5722990039999898,"Imputation",5.5722990039999899E-2,{"$f":"H1789*((0.1+(2*0.6)))","v":7.2439887051999871E-2}]
["Uzbekistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UZB - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.7355604170000003,"Imputation",6.735560417E-2,{"$f":"H1790*((0.1+(2*0.5)))","v":7.4091164587000005E-2}]
["Uzbekistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UZB - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.774103642,"Imputation",7.7741036420000006E-2,{"$f":"H1791*((0.1+(2*0.4)))","v":6.9966932778000007E-2}]
["Uzbekistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UZB - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.4965591430000007,"Imputation",9.496559143000001E-2,{"$f":"H1792*((0.1+(2*0.3)))","v":6.6475914001000003E-2}]
["Uzbekistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UZB - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.42678452,"Imputation",0.1142678452,{"$f":"H1793*((0.1+(2*0.2)))","v":5.7133922599999998E-2}]
["Uzbekistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UZB - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.24088764,"Imputation",0.1524088764,{"$f":"H1794*((0.1+(2*0.1)))","v":4.5722662920000011E-2}]
["Uzbekistan","Labour income distribution -- ILO modelled estimates, July 2019 (%)","UZB - ILO - ILO modelled estimates","Decile: Decile 10",2017,33.754287720000001,"Imputation",0.33754287719999998,{"$f":"H1795*((0.1+(2*0)))","v":3.3754287719999998E-2},{"$f":"1-(I1786+I1787+I1788+I1789+I1790+I1791+I1792+I1793+I1794+I1795)","v":0.41581897386900013}]
["St. Vincent and the Grenadines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VCT - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.0389270779999999,"Imputation",{"$f":"F1796/100","v":1.0389270779999999E-2},{"$f":"H1796*((0.1+(2*0.9)))","v":1.9739614482000001E-2}]
["St. Vincent and the Grenadines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VCT - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.4362177850000002,"Imputation",{"$f":"F1797/100","v":2.4362177850000003E-2},{"$f":"H1797*((0.1+(2*0.8)))","v":4.1415702345000006E-2}]
["St. Vincent and the Grenadines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VCT - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.8221278189999999,"Imputation",3.8221278189999999E-2,{"$f":"H1798*((0.1+(2*0.7)))","v":5.7331917284999999E-2}]
["St. Vincent and the Grenadines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VCT - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.1542649269999998,"Imputation",5.1542649269999997E-2,{"$f":"H1799*((0.1+(2*0.6)))","v":6.7005444050999993E-2}]
["St. Vincent and the Grenadines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VCT - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.5904541019999998,"Imputation",6.5904541019999999E-2,{"$f":"H1800*((0.1+(2*0.5)))","v":7.2494995122E-2}]
["St. Vincent and the Grenadines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VCT - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.2975025179999999,"Imputation",8.2975025179999995E-2,{"$f":"H1801*((0.1+(2*0.4)))","v":7.4677522661999993E-2}]
["St. Vincent and the Grenadines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VCT - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.52463341,"Imputation",0.10524633410000001,{"$f":"H1802*((0.1+(2*0.3)))","v":7.3672433869999998E-2}]
["St. Vincent and the Grenadines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VCT - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.01873016,"Imputation",0.1301873016,{"$f":"H1803*((0.1+(2*0.2)))","v":6.50936508E-2}]
["St. Vincent and the Grenadines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VCT - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.133567809999999,"Imputation",0.1713356781,{"$f":"H1804*((0.1+(2*0.1)))","v":5.1400703430000007E-2}]
["St. Vincent and the Grenadines","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VCT - ILO - ILO modelled estimates","Decile: Decile 10",2017,31.983558649999999,"Imputation",0.31983558649999999,{"$f":"H1805*((0.1+(2*0)))","v":3.198355865E-2},{"$f":"1-(I1796+I1797+I1798+I1799+I1800+I1801+I1802+I1803+I1804+I1805)","v":0.44518445730299994}]
["Venezuela, RB","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VEN - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.8843599559999999,"Model-based extrapolation",{"$f":"F1806/100","v":1.884359956E-2},{"$f":"H1806*((0.1+(2*0.9)))","v":3.5802839164000004E-2}]
["Venezuela, RB","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VEN - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.8681859969999999,"Model-based extrapolation",{"$f":"F1807/100","v":3.8681859969999996E-2},{"$f":"H1807*((0.1+(2*0.8)))","v":6.5759161949E-2}]
["Venezuela, RB","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VEN - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.3745088580000004,"Model-based extrapolation",5.3745088580000003E-2,{"$f":"H1808*((0.1+(2*0.7)))","v":8.0617632870000011E-2}]
["Venezuela, RB","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VEN - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.8429698940000003,"Model-based extrapolation",6.8429698940000006E-2,{"$f":"H1809*((0.1+(2*0.6)))","v":8.8958608622000016E-2}]
["Venezuela, RB","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VEN - ILO - ILO modelled estimates","Decile: Decile 5",2017,8.2628145219999993,"Model-based extrapolation",8.2628145219999991E-2,{"$f":"H1810*((0.1+(2*0.5)))","v":9.0890959741999997E-2}]
["Venezuela, RB","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VEN - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.4378328319999998,"Model-based extrapolation",9.4378328319999996E-2,{"$f":"H1811*((0.1+(2*0.4)))","v":8.4940495487999992E-2}]
["Venezuela, RB","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VEN - ILO - ILO modelled estimates","Decile: Decile 7",2017,11.05031776,"Model-based extrapolation",0.1105031776,{"$f":"H1812*((0.1+(2*0.3)))","v":7.7352224319999996E-2}]
["Venezuela, RB","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VEN - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.82190132,"Model-based extrapolation",0.12821901320000001,{"$f":"H1813*((0.1+(2*0.2)))","v":6.4109506600000005E-2}]
["Venezuela, RB","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VEN - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.58289909,"Model-based extrapolation",0.15582899089999999,{"$f":"H1814*((0.1+(2*0.1)))","v":4.6748697270000007E-2}]
["Venezuela, RB","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VEN - ILO - ILO modelled estimates","Decile: Decile 10",2017,24.874204639999999,"Model-based extrapolation",0.24874204639999997,{"$f":"H1815*((0.1+(2*0)))","v":2.4874204639999998E-2},{"$f":"1-(I1806+I1807+I1808+I1809+I1810+I1811+I1812+I1813+I1814+I1815)","v":0.33994566933500003}]
["United States Virgin Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VIR - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.2306454179999999,"Imputation",{"$f":"F1816/100","v":1.2306454179999999E-2},{"$f":"H1816*((0.1+(2*0.9)))","v":2.3382262942E-2}]
["United States Virgin Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VIR - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.8329882620000002,"Imputation",{"$f":"F1817/100","v":2.8329882620000003E-2},{"$f":"H1817*((0.1+(2*0.8)))","v":4.8160800454000008E-2}]
["United States Virgin Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VIR - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.3522949219999996,"Imputation",4.3522949219999996E-2,{"$f":"H1818*((0.1+(2*0.7)))","v":6.5284423829999993E-2}]
["United States Virgin Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VIR - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.7413053510000003,"Imputation",5.7413053510000006E-2,{"$f":"H1819*((0.1+(2*0.6)))","v":7.4636969563000005E-2}]
["United States Virgin Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VIR - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.0653738979999998,"Imputation",7.0653738979999992E-2,{"$f":"H1820*((0.1+(2*0.5)))","v":7.7719112877999999E-2}]
["United States Virgin Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VIR - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.8291711809999995,"Imputation",8.8291711809999993E-2,{"$f":"H1821*((0.1+(2*0.4)))","v":7.9462540628999989E-2}]
["United States Virgin Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VIR - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.55367088,"Imputation",0.1055367088,{"$f":"H1822*((0.1+(2*0.3)))","v":7.3875696160000004E-2}]
["United States Virgin Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VIR - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.984672550000001,"Imputation",0.12984672550000001,{"$f":"H1823*((0.1+(2*0.2)))","v":6.4923362750000005E-2}]
["United States Virgin Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VIR - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.571664810000001,"Imputation",0.1657166481,{"$f":"H1824*((0.1+(2*0.1)))","v":4.9714994430000006E-2}]
["United States Virgin Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VIR - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.838207239999999,"Imputation",0.29838207239999998,{"$f":"H1825*((0.1+(2*0)))","v":2.9838207239999998E-2},{"$f":"1-(I1816+I1817+I1818+I1819+I1820+I1821+I1822+I1823+I1824+I1825)","v":0.41300162912399996}]
["Vietnam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VNM - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.0838111640000001,null,{"$f":"F1826/100","v":1.0838111640000002E-2},{"$f":"H1826*((0.1+(2*0.9)))","v":2.0592412116000006E-2}]
["Vietnam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VNM - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.8714898820000001,null,{"$f":"F1827/100","v":1.8714898820000003E-2},{"$f":"H1827*((0.1+(2*0.8)))","v":3.1815327994000005E-2}]
["Vietnam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VNM - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.569510937,null,2.569510937E-2,{"$f":"H1828*((0.1+(2*0.7)))","v":3.8542664055000002E-2}]
["Vietnam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VNM - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.4029245380000002,null,3.4029245380000003E-2,{"$f":"H1829*((0.1+(2*0.6)))","v":4.4238018994000004E-2}]
["Vietnam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VNM - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.5934329030000001,null,4.5934329029999998E-2,{"$f":"H1830*((0.1+(2*0.5)))","v":5.0527761933000001E-2}]
["Vietnam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VNM - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.2593908310000002,null,7.2593908309999997E-2,{"$f":"H1831*((0.1+(2*0.4)))","v":6.5334517479000001E-2}]
["Vietnam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VNM - ILO - ILO modelled estimates","Decile: Decile 7",2017,11.738168719999999,null,0.11738168719999999,{"$f":"H1832*((0.1+(2*0.3)))","v":8.2167181039999981E-2}]
["Vietnam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VNM - ILO - ILO modelled estimates","Decile: Decile 8",2017,15.40228844,null,0.1540228844,{"$f":"H1833*((0.1+(2*0.2)))","v":7.7011442200000002E-2}]
["Vietnam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VNM - ILO - ILO modelled estimates","Decile: Decile 9",2017,19.599342350000001,null,0.19599342350000001,{"$f":"H1834*((0.1+(2*0.1)))","v":5.8798027050000014E-2}]
["Vietnam","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VNM - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.479660029999998,null,0.32479660029999996,{"$f":"H1835*((0.1+(2*0)))","v":3.2479660029999996E-2},{"$f":"1-(I1826+I1827+I1828+I1829+I1830+I1831+I1832+I1833+I1834+I1835)","v":0.49849298710900003}]
["Vanuatu","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VUT - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.49563264800000001,"Imputation",{"$f":"F1836/100","v":4.9563264800000003E-3},{"$f":"H1836*((0.1+(2*0.9)))","v":9.4170203120000004E-3}]
["Vanuatu","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VUT - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.073858261,"Imputation",{"$f":"F1837/100","v":1.073858261E-2},{"$f":"H1837*((0.1+(2*0.8)))","v":1.8255590437000001E-2}]
["Vanuatu","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VUT - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.8122812509999999,"Imputation",1.8122812509999999E-2,{"$f":"H1838*((0.1+(2*0.7)))","v":2.7184218764999997E-2}]
["Vanuatu","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VUT - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.8291466239999998,"Imputation",2.8291466239999997E-2,{"$f":"H1839*((0.1+(2*0.6)))","v":3.6778906112E-2}]
["Vanuatu","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VUT - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.218309402,"Imputation",4.2183094019999999E-2,{"$f":"H1840*((0.1+(2*0.5)))","v":4.6401403422000005E-2}]
["Vanuatu","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VUT - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.9200224879999999,"Imputation",5.9200224879999999E-2,{"$f":"H1841*((0.1+(2*0.4)))","v":5.3280202392000001E-2}]
["Vanuatu","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VUT - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.4293289179999995,"Imputation",8.4293289179999994E-2,{"$f":"H1842*((0.1+(2*0.3)))","v":5.9005302425999995E-2}]
["Vanuatu","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VUT - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.45236206,"Imputation",0.1145236206,{"$f":"H1843*((0.1+(2*0.2)))","v":5.72618103E-2}]
["Vanuatu","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VUT - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.882310870000001,"Imputation",0.1688231087,{"$f":"H1844*((0.1+(2*0.1)))","v":5.0646932610000008E-2}]
["Vanuatu","Labour income distribution -- ILO modelled estimates, July 2019 (%)","VUT - ILO - ILO modelled estimates","Decile: Decile 10",2017,46.886741639999997,"Imputation",0.46886741639999996,{"$f":"H1845*((0.1+(2*0)))","v":4.688674164E-2},{"$f":"1-(I1836+I1837+I1838+I1839+I1840+I1841+I1842+I1843+I1844+I1845)","v":0.59488187158399997}]
["Samoa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","WSM - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.119429827,null,{"$f":"F1846/100","v":1.119429827E-2},{"$f":"H1846*((0.1+(2*0.9)))","v":2.1269166713000002E-2}]
["Samoa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","WSM - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.031124353,null,{"$f":"F1847/100","v":2.0311243530000002E-2},{"$f":"H1847*((0.1+(2*0.8)))","v":3.4529114001000005E-2}]
["Samoa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","WSM - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.2905240060000001,null,3.290524006E-2,{"$f":"H1848*((0.1+(2*0.7)))","v":4.9357860089999997E-2}]
["Samoa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","WSM - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.0510892869999999,null,5.0510892869999997E-2,{"$f":"H1849*((0.1+(2*0.6)))","v":6.5664160730999996E-2}]
["Samoa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","WSM - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.4568786620000003,null,6.4568786619999999E-2,{"$f":"H1850*((0.1+(2*0.5)))","v":7.1025665282000008E-2}]
["Samoa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","WSM - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.0804748540000002,null,8.0804748539999999E-2,{"$f":"H1851*((0.1+(2*0.4)))","v":7.2724273685999999E-2}]
["Samoa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","WSM - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.07168102,null,0.10071681019999999,{"$f":"H1852*((0.1+(2*0.3)))","v":7.0501767139999991E-2}]
["Samoa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","WSM - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.400137900000001,null,0.12400137900000001,{"$f":"H1853*((0.1+(2*0.2)))","v":6.2000689500000004E-2}]
["Samoa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","WSM - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.206272129999999,null,0.1720627213,{"$f":"H1854*((0.1+(2*0.1)))","v":5.1618816390000009E-2}]
["Samoa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","WSM - ILO - ILO modelled estimates","Decile: Decile 10",2017,34.292373660000003,null,0.34292373660000003,{"$f":"H1855*((0.1+(2*0)))","v":3.4292373660000007E-2},{"$f":"1-(I1846+I1847+I1848+I1849+I1850+I1851+I1852+I1853+I1854+I1855)","v":0.46701611280700006}]
["World","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X01 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.14523044299999999,null,{"$f":"F1856/100","v":1.4523044299999998E-3},{"$f":"H1856*((0.1+(2*0.9)))","v":2.7593784169999999E-3}]
["World","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X01 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.503485026,null,{"$f":"F1857/100","v":5.0348502600000003E-3},{"$f":"H1857*((0.1+(2*0.8)))","v":8.5592454420000009E-3}]
["World","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X01 - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.013575721,null,1.013575721E-2,{"$f":"H1858*((0.1+(2*0.7)))","v":1.5203635815000002E-2}]
["World","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X01 - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.806921064,null,1.806921064E-2,{"$f":"H1859*((0.1+(2*0.6)))","v":2.3489973832000001E-2}]
["World","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X01 - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.0250436340000002,null,3.0250436340000002E-2,{"$f":"H1860*((0.1+(2*0.5)))","v":3.3275479974000002E-2}]
["World","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X01 - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.9026263859999997,null,4.9026263859999995E-2,{"$f":"H1861*((0.1+(2*0.4)))","v":4.4123637473999999E-2}]
["World","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X01 - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.6400000849999996,null,7.6400000849999997E-2,{"$f":"H1862*((0.1+(2*0.3)))","v":5.3480000594999993E-2}]
["World","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X01 - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.880620070000001,null,0.1188062007,{"$f":"H1863*((0.1+(2*0.2)))","v":5.9403100350000002E-2}]
["World","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X01 - ILO - ILO modelled estimates","Decile: Decile 9",2017,20.136104929999998,null,0.20136104929999998,{"$f":"H1864*((0.1+(2*0.1)))","v":6.0408314790000001E-2}]
["World","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X01 - ILO - ILO modelled estimates","Decile: Decile 10",2017,48.946392639999999,null,0.48946392639999997,{"$f":"H1865*((0.1+(2*0)))","v":4.8946392640000003E-2},{"$f":"1-(I1856+I1857+I1858+I1859+I1860+I1861+I1862+I1863+I1864+I1865)","v":0.65035084067100002}]
["Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X06 - ILO - ILO modelled estimates","Decile: Decile 1",2017,7.8326725999999999E-2,null,{"$f":"F1866/100","v":7.8326725999999997E-4},{"$f":"H1866*((0.1+(2*0.9)))","v":1.4882077940000002E-3}]
["Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X06 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.24993146299999999,null,{"$f":"F1867/100","v":2.49931463E-3},{"$f":"H1867*((0.1+(2*0.8)))","v":4.2488348710000004E-3}]
["Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X06 - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.51884949700000005,null,5.1884949700000006E-3,{"$f":"H1868*((0.1+(2*0.7)))","v":7.7827424550000008E-3}]
["Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X06 - ILO - ILO modelled estimates","Decile: Decile 4",2017,0.95479794500000004,null,9.5479794500000006E-3,{"$f":"H1869*((0.1+(2*0.6)))","v":1.2412373285000002E-2}]
["Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X06 - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.612323511,null,1.6123235110000002E-2,{"$f":"H1870*((0.1+(2*0.5)))","v":1.7735558621000003E-2}]
["Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X06 - ILO - ILO modelled estimates","Decile: Decile 6",2017,2.776749841,null,2.7767498410000001E-2,{"$f":"H1871*((0.1+(2*0.4)))","v":2.4990748569E-2}]
["Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X06 - ILO - ILO modelled estimates","Decile: Decile 7",2017,4.9646723609999999,null,4.9646723609999999E-2,{"$f":"H1872*((0.1+(2*0.3)))","v":3.4752706526999994E-2}]
["Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X06 - ILO - ILO modelled estimates","Decile: Decile 8",2017,9.3595445500000007,null,9.3595445500000013E-2,{"$f":"H1873*((0.1+(2*0.2)))","v":4.6797722750000006E-2}]
["Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X06 - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.563221769999998,null,0.18563221769999999,{"$f":"H1874*((0.1+(2*0.1)))","v":5.5689665310000004E-2}]
["Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X06 - ILO - ILO modelled estimates","Decile: Decile 10",2017,60.92158234,null,0.60921582340000002,{"$f":"H1875*((0.1+(2*0)))","v":6.0921582340000002E-2},{"$f":"1-(I1866+I1867+I1868+I1869+I1870+I1871+I1872+I1873+I1874+I1875)","v":0.73317985747799996}]
["Northern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X10 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.51596692600000005,null,{"$f":"F1876/100","v":5.1596692600000002E-3},{"$f":"H1876*((0.1+(2*0.9)))","v":9.8033715940000019E-3}]
["Northern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X10 - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.6101652980000001,null,{"$f":"F1877/100","v":1.6101652980000002E-2},{"$f":"H1877*((0.1+(2*0.8)))","v":2.7372810066000008E-2}]
["Northern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X10 - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.8091908299999999,null,2.8091908299999999E-2,{"$f":"H1878*((0.1+(2*0.7)))","v":4.2137862450000001E-2}]
["Northern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X10 - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.2050487829999996,null,4.2050487829999997E-2,{"$f":"H1879*((0.1+(2*0.6)))","v":5.4665634179E-2}]
["Northern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X10 - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.7492540380000001,null,5.7492540379999998E-2,{"$f":"H1880*((0.1+(2*0.5)))","v":6.3241794418E-2}]
["Northern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X10 - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.557845157,null,7.5578451569999996E-2,{"$f":"H1881*((0.1+(2*0.4)))","v":6.8020606412999993E-2}]
["Northern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X10 - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.6669274089999995,null,9.6669274089999993E-2,{"$f":"H1882*((0.1+(2*0.3)))","v":6.7668491862999988E-2}]
["Northern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X10 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.34723518,null,0.1234723518,{"$f":"H1883*((0.1+(2*0.2)))","v":6.1736175900000002E-2}]
["Northern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X10 - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.160352549999999,null,0.17160352549999999,{"$f":"H1884*((0.1+(2*0.1)))","v":5.1481057650000002E-2}]
["Northern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X10 - ILO - ILO modelled estimates","Decile: Decile 10",2017,38.37801383,null,0.38378013830000002,{"$f":"H1885*((0.1+(2*0)))","v":3.8378013830000002E-2},{"$f":"1-(I1876+I1877+I1878+I1879+I1880+I1881+I1882+I1883+I1884+I1885)","v":0.515494181637}]
["Sub-Saharan Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X13 - ILO - ILO modelled estimates","Decile: Decile 1",2017,8.5720453000000002E-2,null,{"$f":"F1886/100","v":8.5720453000000002E-4},{"$f":"H1886*((0.1+(2*0.9)))","v":1.6286886070000001E-3}]
["Sub-Saharan Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X13 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.262421346,null,{"$f":"F1887/100","v":2.6242134600000001E-3},{"$f":"H1887*((0.1+(2*0.8)))","v":4.4611628820000011E-3}]
["Sub-Saharan Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X13 - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.51604477199999998,null,5.16044772E-3,{"$f":"H1888*((0.1+(2*0.7)))","v":7.7406715800000005E-3}]
["Sub-Saharan Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X13 - ILO - ILO modelled estimates","Decile: Decile 4",2017,0.92796161399999999,null,9.2796161400000004E-3,{"$f":"H1889*((0.1+(2*0.6)))","v":1.2063500982000002E-2}]
["Sub-Saharan Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X13 - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.5157697910000001,null,1.515769791E-2,{"$f":"H1890*((0.1+(2*0.5)))","v":1.6673467701000002E-2}]
["Sub-Saharan Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X13 - ILO - ILO modelled estimates","Decile: Decile 6",2017,2.4309151440000001,null,2.4309151439999999E-2,{"$f":"H1891*((0.1+(2*0.4)))","v":2.1878236296000001E-2}]
["Sub-Saharan Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X13 - ILO - ILO modelled estimates","Decile: Decile 7",2017,4.0416652409999996,null,4.0416652409999997E-2,{"$f":"H1892*((0.1+(2*0.3)))","v":2.8291656686999997E-2}]
["Sub-Saharan Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X13 - ILO - ILO modelled estimates","Decile: Decile 8",2017,7.3258659369999997,null,7.3258659369999993E-2,{"$f":"H1893*((0.1+(2*0.2)))","v":3.6629329684999996E-2}]
["Sub-Saharan Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X13 - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.532364960000001,null,0.1553236496,{"$f":"H1894*((0.1+(2*0.1)))","v":4.6597094880000009E-2}]
["Sub-Saharan Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X13 - ILO - ILO modelled estimates","Decile: Decile 10",2017,67.361270750000003,null,0.67361270750000002,{"$f":"H1895*((0.1+(2*0)))","v":6.7361270750000007E-2},{"$f":"1-(I1886+I1887+I1888+I1889+I1890+I1891+I1892+I1893+I1894+I1895)","v":0.75667491995000002}]
["Central Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X17 - ILO - ILO modelled estimates","Decile: Decile 1",2017,6.4282553000000006E-2,null,{"$f":"F1896/100","v":6.4282553000000002E-4},{"$f":"H1896*((0.1+(2*0.9)))","v":1.2213685070000002E-3}]
["Central Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X17 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.185287799,null,{"$f":"F1897/100","v":1.8528779900000001E-3},{"$f":"H1897*((0.1+(2*0.8)))","v":3.1498925830000003E-3}]
["Central Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X17 - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.36489453999999999,null,3.6489453999999999E-3,{"$f":"H1898*((0.1+(2*0.7)))","v":5.4734181000000003E-3}]
["Central Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X17 - ILO - ILO modelled estimates","Decile: Decile 4",2017,0.63741798400000005,null,6.3741798400000008E-3,{"$f":"H1899*((0.1+(2*0.6)))","v":8.2864337920000013E-3}]
["Central Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X17 - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.1945682950000001,null,1.1945682950000001E-2,{"$f":"H1900*((0.1+(2*0.5)))","v":1.3140251245000003E-2}]
["Central Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X17 - ILO - ILO modelled estimates","Decile: Decile 6",2017,2.3326662009999999,null,2.3326662009999999E-2,{"$f":"H1901*((0.1+(2*0.4)))","v":2.0993995809E-2}]
["Central Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X17 - ILO - ILO modelled estimates","Decile: Decile 7",2017,4.4509062239999997,null,4.4509062239999994E-2,{"$f":"H1902*((0.1+(2*0.3)))","v":3.1156343567999994E-2}]
["Central Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X17 - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.0933034409999998,null,8.0933034409999993E-2,{"$f":"H1903*((0.1+(2*0.2)))","v":4.0466517204999997E-2}]
["Central Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X17 - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.70589809,null,0.1470589809,{"$f":"H1904*((0.1+(2*0.1)))","v":4.4117694270000007E-2}]
["Central Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X17 - ILO - ILO modelled estimates","Decile: Decile 10",2017,67.970774879999993,null,0.67970774879999996,{"$f":"H1905*((0.1+(2*0)))","v":6.7970774880000001E-2},{"$f":"1-(I1896+I1897+I1898+I1899+I1900+I1901+I1902+I1903+I1904+I1905)","v":0.76402331004099999}]
["Eastern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X18 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.231484938,null,{"$f":"F1906/100","v":2.3148493800000001E-3},{"$f":"H1906*((0.1+(2*0.9)))","v":4.3982138220000008E-3}]
["Eastern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X18 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.571353377,null,{"$f":"F1907/100","v":5.7135337700000002E-3},{"$f":"H1907*((0.1+(2*0.8)))","v":9.7130074090000015E-3}]
["Eastern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X18 - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.99207530399999999,null,9.9207530400000007E-3,{"$f":"H1908*((0.1+(2*0.7)))","v":1.4881129560000001E-2}]
["Eastern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X18 - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.522883199,null,1.522883199E-2,{"$f":"H1909*((0.1+(2*0.6)))","v":1.9797481586999999E-2}]
["Eastern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X18 - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.3162136910000002,null,2.3162136910000002E-2,{"$f":"H1910*((0.1+(2*0.5)))","v":2.5478350601000004E-2}]
["Eastern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X18 - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.3234483570000002,null,3.3234483570000001E-2,{"$f":"H1911*((0.1+(2*0.4)))","v":2.9911035213000002E-2}]
["Eastern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X18 - ILO - ILO modelled estimates","Decile: Decile 7",2017,4.8484585019999997,null,4.8484585019999998E-2,{"$f":"H1912*((0.1+(2*0.3)))","v":3.3939209513999993E-2}]
["Eastern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X18 - ILO - ILO modelled estimates","Decile: Decile 8",2017,7.5522690800000003,null,7.55226908E-2,{"$f":"H1913*((0.1+(2*0.2)))","v":3.77613454E-2}]
["Eastern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X18 - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.13543198,null,0.14135431979999999,{"$f":"H1914*((0.1+(2*0.1)))","v":4.2406295940000005E-2}]
["Eastern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X18 - ILO - ILO modelled estimates","Decile: Decile 10",2017,64.506381570000002,null,0.64506381570000004,{"$f":"H1915*((0.1+(2*0)))","v":6.4506381570000007E-2},{"$f":"1-(I1906+I1907+I1908+I1909+I1910+I1911+I1912+I1913+I1914+I1915)","v":0.717207549384}]
["Southern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X19 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.78407538200000004,null,{"$f":"F1916/100","v":7.8407538200000008E-3},{"$f":"H1916*((0.1+(2*0.9)))","v":1.4897432258000002E-2}]
["Southern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X19 - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.0296126939999999,null,{"$f":"F1917/100","v":2.0296126939999999E-2},{"$f":"H1917*((0.1+(2*0.8)))","v":3.4503415798000002E-2}]
["Southern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X19 - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.3204195090000002,null,3.3204195089999999E-2,{"$f":"H1918*((0.1+(2*0.7)))","v":4.9806292634999999E-2}]
["Southern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X19 - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.6235821020000003,null,4.6235821020000005E-2,{"$f":"H1919*((0.1+(2*0.6)))","v":6.0106567326000011E-2}]
["Southern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X19 - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.9833266299999996,null,5.9833266299999993E-2,{"$f":"H1920*((0.1+(2*0.5)))","v":6.5816592930000001E-2}]
["Southern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X19 - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.4640810059999998,null,7.4640810059999993E-2,{"$f":"H1921*((0.1+(2*0.4)))","v":6.717672905399999E-2}]
["Southern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X19 - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.3914910450000004,null,9.391491045E-2,{"$f":"H1922*((0.1+(2*0.3)))","v":6.5740437314999997E-2}]
["Southern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X19 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.03495038,null,0.12034950379999999,{"$f":"H1923*((0.1+(2*0.2)))","v":6.0174751899999997E-2}]
["Southern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X19 - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.395079800000001,null,0.17395079800000002,{"$f":"H1924*((0.1+(2*0.1)))","v":5.2185239400000014E-2}]
["Southern Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X19 - ILO - ILO modelled estimates","Decile: Decile 10",2017,36.973381449999998,null,0.36973381449999998,{"$f":"H1925*((0.1+(2*0)))","v":3.6973381450000002E-2},{"$f":"1-(I1916+I1917+I1918+I1919+I1920+I1921+I1922+I1923+I1924+I1925)","v":0.49261915993399996}]
["Western Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X20 - ILO - ILO modelled estimates","Decile: Decile 1",2017,7.0746841000000005E-2,null,{"$f":"F1926/100","v":7.0746841000000004E-4},{"$f":"H1926*((0.1+(2*0.9)))","v":1.3441899790000002E-3}]
["Western Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X20 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.31850863299999999,null,{"$f":"F1927/100","v":3.1850863299999997E-3},{"$f":"H1927*((0.1+(2*0.8)))","v":5.4146467610000004E-3}]
["Western Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X20 - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.76511330099999997,null,7.65113301E-3,{"$f":"H1928*((0.1+(2*0.7)))","v":1.1476699515000001E-2}]
["Western Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X20 - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.33218842,null,1.33218842E-2,{"$f":"H1929*((0.1+(2*0.6)))","v":1.731844946E-2}]
["Western Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X20 - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.1203269599999999,null,2.1203269599999998E-2,{"$f":"H1930*((0.1+(2*0.5)))","v":2.332359656E-2}]
["Western Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X20 - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.283608858,null,3.2836088579999999E-2,{"$f":"H1931*((0.1+(2*0.4)))","v":2.9552479722000001E-2}]
["Western Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X20 - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.1972721630000001,null,5.1972721630000003E-2,{"$f":"H1932*((0.1+(2*0.3)))","v":3.6380905141000001E-2}]
["Western Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X20 - ILO - ILO modelled estimates","Decile: Decile 8",2017,8.3779806140000002,null,8.3779806139999996E-2,{"$f":"H1933*((0.1+(2*0.2)))","v":4.1889903069999998E-2}]
["Western Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X20 - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.382161030000001,null,0.15382161029999999,{"$f":"H1934*((0.1+(2*0.1)))","v":4.6146483090000003E-2}]
["Western Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X20 - ILO - ILO modelled estimates","Decile: Decile 10",2017,63.152093180000001,null,0.63152093180000002,{"$f":"H1935*((0.1+(2*0)))","v":6.3152093180000007E-2},{"$f":"1-(I1926+I1927+I1928+I1929+I1930+I1931+I1932+I1933+I1934+I1935)","v":0.72400055352199999}]
["Americas","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X21 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.49964233699999999,null,{"$f":"F1936/100","v":4.9964233700000001E-3},{"$f":"H1936*((0.1+(2*0.9)))","v":9.4932044030000013E-3}]
["Americas","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X21 - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.460720646,null,{"$f":"F1937/100","v":1.4607206459999999E-2},{"$f":"H1937*((0.1+(2*0.8)))","v":2.4832250982000002E-2}]
["Americas","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X21 - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.4832934619999998,null,2.4832934619999997E-2,{"$f":"H1938*((0.1+(2*0.7)))","v":3.7249401929999995E-2}]
["Americas","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X21 - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.38035874099999,null,3.3803587409999898E-2,{"$f":"H1939*((0.1+(2*0.6)))","v":4.394466363299987E-2}]
["Americas","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X21 - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.4591126230000002,null,4.459112623E-2,{"$f":"H1940*((0.1+(2*0.5)))","v":4.9050238853000007E-2}]
["Americas","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X21 - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.0904231600000003,null,6.0904231600000004E-2,{"$f":"H1941*((0.1+(2*0.4)))","v":5.4813808440000007E-2}]
["Americas","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X21 - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.7019781419999997,null,8.7019781419999997E-2,{"$f":"H1942*((0.1+(2*0.3)))","v":6.0913846993999994E-2}]
["Americas","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X21 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.520514779999999,null,0.1252051478,{"$f":"H1943*((0.1+(2*0.2)))","v":6.26025739E-2}]
["Americas","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X21 - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.719694270000002,null,0.18719694270000001,{"$f":"H1944*((0.1+(2*0.1)))","v":5.6159082810000011E-2}]
["Americas","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X21 - ILO - ILO modelled estimates","Decile: Decile 10",2017,41.684261849999999,null,0.41684261849999998,{"$f":"H1945*((0.1+(2*0)))","v":4.1684261850000001E-2},{"$f":"1-(I1936+I1937+I1938+I1939+I1940+I1941+I1942+I1943+I1944+I1945)","v":0.55925666620500003}]
["Latin America and the Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X26 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.68879042700000004,null,{"$f":"F1946/100","v":6.88790427E-3},{"$f":"H1946*((0.1+(2*0.9)))","v":1.3087018113000001E-2}]
["Latin America and the Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X26 - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.0004360760000002,null,{"$f":"F1947/100","v":2.0004360760000003E-2},{"$f":"H1947*((0.1+(2*0.8)))","v":3.4007413292000008E-2}]
["Latin America and the Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X26 - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.349520429,null,3.3495204289999997E-2,{"$f":"H1948*((0.1+(2*0.7)))","v":5.0242806434999995E-2}]
["Latin America and the Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X26 - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.9055077230000004,null,4.9055077230000001E-2,{"$f":"H1949*((0.1+(2*0.6)))","v":6.3771600398999997E-2}]
["Latin America and the Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X26 - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.1354397949999999,null,6.135439795E-2,{"$f":"H1950*((0.1+(2*0.5)))","v":6.7489837745000003E-2}]
["Latin America and the Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X26 - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.5438031109999999,null,7.5438031109999998E-2,{"$f":"H1951*((0.1+(2*0.4)))","v":6.7894227998999995E-2}]
["Latin America and the Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X26 - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.1253789740000002,null,9.1253789740000008E-2,{"$f":"H1952*((0.1+(2*0.3)))","v":6.3877652818000008E-2}]
["Latin America and the Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X26 - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.52972643,null,0.11529726430000001,{"$f":"H1953*((0.1+(2*0.2)))","v":5.7648632150000004E-2}]
["Latin America and the Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X26 - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.07767819,null,0.1607767819,{"$f":"H1954*((0.1+(2*0.1)))","v":4.8233034570000007E-2}]
["Latin America and the Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X26 - ILO - ILO modelled estimates","Decile: Decile 10",2017,38.643718849999999,null,0.38643718849999997,{"$f":"H1955*((0.1+(2*0)))","v":3.8643718850000001E-2},{"$f":"1-(I1946+I1947+I1948+I1949+I1950+I1951+I1952+I1953+I1954+I1955)","v":0.49510405762900001}]
["Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X31 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.13264414499999999,null,{"$f":"F1956/100","v":1.32644145E-3},{"$f":"H1956*((0.1+(2*0.9)))","v":2.5202387550000002E-3}]
["Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X31 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.61206238499999999,null,{"$f":"F1957/100","v":6.1206238499999996E-3},{"$f":"H1957*((0.1+(2*0.8)))","v":1.0405060545000001E-2}]
["Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X31 - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.519983614,null,1.5199836140000001E-2,{"$f":"H1958*((0.1+(2*0.7)))","v":2.2799754210000002E-2}]
["Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X31 - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.0864930679999998,null,3.086493068E-2,{"$f":"H1959*((0.1+(2*0.6)))","v":4.0124409883999998E-2}]
["Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X31 - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.7438632079999996,null,4.7438632079999994E-2,{"$f":"H1960*((0.1+(2*0.5)))","v":5.2182495288000001E-2}]
["Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X31 - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.491182792,null,6.4911827919999998E-2,{"$f":"H1961*((0.1+(2*0.4)))","v":5.8420645128E-2}]
["Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X31 - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.7632889800000004,null,8.7632889800000002E-2,{"$f":"H1962*((0.1+(2*0.3)))","v":6.1343022859999999E-2}]
["Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X31 - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.807472649999999,null,0.11807472649999999,{"$f":"H1963*((0.1+(2*0.2)))","v":5.9037363249999995E-2}]
["Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X31 - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.895019999999999,null,0.17895019999999998,{"$f":"H1964*((0.1+(2*0.1)))","v":5.368506E-2}]
["Caribbean","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X31 - ILO - ILO modelled estimates","Decile: Decile 10",2017,44.947989159999999,null,0.44947989160000001,{"$f":"H1965*((0.1+(2*0)))","v":4.4947989160000007E-2},{"$f":"1-(I1956+I1957+I1958+I1959+I1960+I1961+I1962+I1963+I1964+I1965)","v":0.59453396091999999}]
["Central America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X32 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.857047208,null,{"$f":"F1966/100","v":8.5704720800000005E-3},{"$f":"H1966*((0.1+(2*0.9)))","v":1.6283896952000002E-2}]
["Central America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X32 - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.2114363639999999,null,{"$f":"F1967/100","v":2.2114363639999999E-2},{"$f":"H1967*((0.1+(2*0.8)))","v":3.7594418188000002E-2}]
["Central America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X32 - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.5998686019999999,null,3.5998686019999997E-2,{"$f":"H1968*((0.1+(2*0.7)))","v":5.3998029029999992E-2}]
["Central America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X32 - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.2075869829999997,null,5.2075869829999996E-2,{"$f":"H1969*((0.1+(2*0.6)))","v":6.7698630778999999E-2}]
["Central America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X32 - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.9950232870000004,null,6.9950232870000004E-2,{"$f":"H1970*((0.1+(2*0.5)))","v":7.6945256157000014E-2}]
["Central America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X32 - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.7169263309999998,null,8.7169263309999995E-2,{"$f":"H1971*((0.1+(2*0.4)))","v":7.8452336979000004E-2}]
["Central America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X32 - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.534064109999999,null,0.10534064109999999,{"$f":"H1972*((0.1+(2*0.3)))","v":7.3738448769999992E-2}]
["Central America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X32 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.834079190000001,null,0.1283407919,{"$f":"H1973*((0.1+(2*0.2)))","v":6.417039595E-2}]
["Central America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X32 - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.78379799,null,0.16783797989999999,{"$f":"H1974*((0.1+(2*0.1)))","v":5.0351393970000005E-2}]
["Central America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X32 - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.260169930000004,null,0.32260169930000004,{"$f":"H1975*((0.1+(2*0)))","v":3.2260169930000006E-2},{"$f":"1-(I1966+I1967+I1968+I1969+I1970+I1971+I1972+I1973+I1974+I1975)","v":0.44850702329499992}]
["South America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X33 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.78233374899999997,null,{"$f":"F1976/100","v":7.8233374900000003E-3},{"$f":"H1976*((0.1+(2*0.9)))","v":1.4864341231000002E-2}]
["South America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X33 - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.1479684969999999,null,{"$f":"F1977/100","v":2.1479684969999999E-2},{"$f":"H1977*((0.1+(2*0.8)))","v":3.6515464449000001E-2}]
["South America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X33 - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.4901427009999999,null,3.490142701E-2,{"$f":"H1978*((0.1+(2*0.7)))","v":5.2352140514999999E-2}]
["South America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X33 - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.9476143199999996,null,4.9476143199999996E-2,{"$f":"H1979*((0.1+(2*0.6)))","v":6.4318986159999994E-2}]
["South America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X33 - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.9733954540000003,null,5.9733954540000002E-2,{"$f":"H1980*((0.1+(2*0.5)))","v":6.5707349994000006E-2}]
["South America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X33 - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.2641249459999999,null,7.2641249460000001E-2,{"$f":"H1981*((0.1+(2*0.4)))","v":6.5377124514000004E-2}]
["South America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X33 - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.8282770389999996,null,8.8282770390000001E-2,{"$f":"H1982*((0.1+(2*0.3)))","v":6.1797939272999994E-2}]
["South America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X33 - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.25161767,null,0.1125161767,{"$f":"H1983*((0.1+(2*0.2)))","v":5.6258088349999999E-2}]
["South America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X33 - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.980490509999999,null,0.15980490510000001,{"$f":"H1984*((0.1+(2*0.1)))","v":4.7941471530000009E-2}]
["South America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X33 - ILO - ILO modelled estimates","Decile: Decile 10",2017,39.334035120000003,null,0.39334035120000005,{"$f":"H1985*((0.1+(2*0)))","v":3.9334035120000006E-2},{"$f":"1-(I1976+I1977+I1978+I1979+I1980+I1981+I1982+I1983+I1984+I1985)","v":0.4955330588639999}]
["Northern America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X34 - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.440558856,null,{"$f":"F1986/100","v":1.440558856E-2},{"$f":"H1986*((0.1+(2*0.9)))","v":2.7370618264000002E-2}]
["Northern America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X34 - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.1151736240000001,null,{"$f":"F1987/100","v":3.1151736240000002E-2},{"$f":"H1987*((0.1+(2*0.8)))","v":5.2957951608000008E-2}]
["Northern America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X34 - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.383713975,null,4.3837139750000004E-2,{"$f":"H1988*((0.1+(2*0.7)))","v":6.5755709625000006E-2}]
["Northern America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X34 - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.5668189899999998,null,5.5668189899999998E-2,{"$f":"H1989*((0.1+(2*0.6)))","v":7.2368646869999997E-2}]
["Northern America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X34 - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.8115346140000002,null,6.8115346140000005E-2,{"$f":"H1990*((0.1+(2*0.5)))","v":7.4926880754000016E-2}]
["Northern America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X34 - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.2077388019999997,null,8.2077388020000003E-2,{"$f":"H1991*((0.1+(2*0.4)))","v":7.3869649218000002E-2}]
["Northern America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X34 - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.8817269799999998,null,9.8817269799999996E-2,{"$f":"H1992*((0.1+(2*0.3)))","v":6.9172088859999994E-2}]
["Northern America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X34 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.205504189999999,null,0.12205504189999999,{"$f":"H1993*((0.1+(2*0.2)))","v":6.1027520949999997E-2}]
["Northern America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X34 - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.91260617,null,0.15912606169999999,{"$f":"H1994*((0.1+(2*0.1)))","v":4.7737818510000002E-2}]
["Northern America","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X34 - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.474623809999997,null,0.32474623809999997,{"$f":"H1995*((0.1+(2*0)))","v":3.2474623809999999E-2},{"$f":"1-(I1986+I1987+I1988+I1989+I1990+I1991+I1992+I1993+I1994+I1995)","v":0.422338491531}]
["Arab States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X36 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.27959505499999998,null,{"$f":"F1996/100","v":2.7959505499999997E-3},{"$f":"H1996*((0.1+(2*0.9)))","v":5.3123060449999995E-3}]
["Arab States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X36 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.97748257900000002,null,{"$f":"F1997/100","v":9.7748257900000003E-3},{"$f":"H1997*((0.1+(2*0.8)))","v":1.6617203843000004E-2}]
["Arab States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X36 - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.991804079,null,1.9918040790000001E-2,{"$f":"H1998*((0.1+(2*0.7)))","v":2.9877061185000001E-2}]
["Arab States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X36 - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.4364866730000001,null,3.4364866729999999E-2,{"$f":"H1999*((0.1+(2*0.6)))","v":4.4674326749000001E-2}]
["Arab States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X36 - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.1976492219999999,null,5.1976492219999997E-2,{"$f":"H2000*((0.1+(2*0.5)))","v":5.7174141442000004E-2}]
["Arab States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X36 - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.2929058339999999,null,7.2929058340000005E-2,{"$f":"H2001*((0.1+(2*0.4)))","v":6.5636152506000009E-2}]
["Arab States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X36 - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.7499614490000006,null,9.7499614490000011E-2,{"$f":"H2002*((0.1+(2*0.3)))","v":6.8249730143000009E-2}]
["Arab States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X36 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.92687534,null,0.12926875339999999,{"$f":"H2003*((0.1+(2*0.2)))","v":6.4634376699999996E-2}]
["Arab States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X36 - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.139805490000001,null,0.18139805489999999,{"$f":"H2004*((0.1+(2*0.1)))","v":5.4419416470000009E-2}]
["Arab States","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X36 - ILO - ILO modelled estimates","Decile: Decile 10",2017,40.007434279999998,null,0.40007434279999998,{"$f":"H2005*((0.1+(2*0)))","v":4.0007434280000004E-2},{"$f":"1-(I1996+I1997+I1998+I1999+I2000+I2001+I2002+I2003+I2004+I2005)","v":0.55339785063699998}]
["Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X40 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.26464171800000003,null,{"$f":"F2006/100","v":2.6464171800000004E-3},{"$f":"H2006*((0.1+(2*0.9)))","v":5.0281926420000008E-3}]
["Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X40 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.71313845600000003,null,{"$f":"F2007/100","v":7.1313845600000005E-3},{"$f":"H2007*((0.1+(2*0.8)))","v":1.2123353752000002E-2}]
["Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X40 - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.232147366,null,1.232147366E-2,{"$f":"H2008*((0.1+(2*0.7)))","v":1.8482210490000001E-2}]
["Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X40 - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.9705378950000001,null,1.9705378950000001E-2,{"$f":"H2009*((0.1+(2*0.6)))","v":2.5616992635000002E-2}]
["Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X40 - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.0198820130000001,null,3.0198820130000002E-2,{"$f":"H2010*((0.1+(2*0.5)))","v":3.3218702143000003E-2}]
["Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X40 - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.557835066,null,4.5578350660000003E-2,{"$f":"H2011*((0.1+(2*0.4)))","v":4.1020515594000002E-2}]
["Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X40 - ILO - ILO modelled estimates","Decile: Decile 7",2017,6.9933313860000004,null,6.9933313859999999E-2,{"$f":"H2012*((0.1+(2*0.3)))","v":4.8953319701999995E-2}]
["Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X40 - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.081255779999999,null,0.11081255779999999,{"$f":"H2013*((0.1+(2*0.2)))","v":5.5406278899999994E-2}]
["Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X40 - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.77284719,null,0.1877284719,{"$f":"H2014*((0.1+(2*0.1)))","v":5.6318541570000005E-2}]
["Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X40 - ILO - ILO modelled estimates","Decile: Decile 10",2017,51.394383130000001,null,0.51394383129999999,{"$f":"H2015*((0.1+(2*0)))","v":5.1394383129999999E-2},{"$f":"1-(I2006+I2007+I2008+I2009+I2010+I2011+I2012+I2013+I2014+I2015)","v":0.65243750944200007}]
["Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X45 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.333375539,null,{"$f":"F2016/100","v":3.3337553900000001E-3},{"$f":"H2016*((0.1+(2*0.9)))","v":6.3341352410000006E-3}]
["Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X45 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.93765819900000003,null,{"$f":"F2017/100","v":9.3765819900000005E-3},{"$f":"H2017*((0.1+(2*0.8)))","v":1.5940189383000004E-2}]
["Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X45 - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.8058909059999999,null,1.8058909059999999E-2,{"$f":"H2018*((0.1+(2*0.7)))","v":2.7088363589999997E-2}]
["Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X45 - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.9285646220000001,null,2.9285646220000003E-2,{"$f":"H2019*((0.1+(2*0.6)))","v":3.8071340086000008E-2}]
["Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X45 - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.2531392019999998,null,4.2531392019999996E-2,{"$f":"H2020*((0.1+(2*0.5)))","v":4.6784531221999999E-2}]
["Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X45 - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.042594094,null,6.0425940939999999E-2,{"$f":"H2021*((0.1+(2*0.4)))","v":5.4383346845999998E-2}]
["Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X45 - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.6132633189999996,null,8.6132633190000002E-2,{"$f":"H2022*((0.1+(2*0.3)))","v":6.0292843233E-2}]
["Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X45 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.23338856,null,0.1223338856,{"$f":"H2023*((0.1+(2*0.2)))","v":6.1166942799999999E-2}]
["Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X45 - ILO - ILO modelled estimates","Decile: Decile 9",2017,19.085940870000002,null,0.19085940870000001,{"$f":"H2024*((0.1+(2*0.1)))","v":5.7257822610000009E-2}]
["Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X45 - ILO - ILO modelled estimates","Decile: Decile 10",2017,43.766184699999997,null,0.43766184699999999,{"$f":"H2025*((0.1+(2*0)))","v":4.3766184700000002E-2},{"$f":"1-(I2016+I2017+I2018+I2019+I2020+I2021+I2022+I2023+I2024+I2025)","v":0.58891430028900005}]
["South-Eastern Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X49 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.38955935600000002,null,{"$f":"F2026/100","v":3.8955935600000001E-3},{"$f":"H2026*((0.1+(2*0.9)))","v":7.4016277640000004E-3}]
["South-Eastern Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X49 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.98380565600000003,null,{"$f":"F2027/100","v":9.8380565600000008E-3},{"$f":"H2027*((0.1+(2*0.8)))","v":1.6724696152000004E-2}]
["South-Eastern Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X49 - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.693666189,null,1.6936661889999999E-2,{"$f":"H2028*((0.1+(2*0.7)))","v":2.5404992835000001E-2}]
["South-Eastern Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X49 - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.6775349419999999,null,2.6775349419999997E-2,{"$f":"H2029*((0.1+(2*0.6)))","v":3.4807954246E-2}]
["South-Eastern Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X49 - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.9395002780000001,null,3.939500278E-2,{"$f":"H2030*((0.1+(2*0.5)))","v":4.3334503058000004E-2}]
["South-Eastern Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X49 - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.4841758880000002,null,5.4841758880000001E-2,{"$f":"H2031*((0.1+(2*0.4)))","v":4.9357582992E-2}]
["South-Eastern Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X49 - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.5288752749999999,null,7.5288752749999993E-2,{"$f":"H2032*((0.1+(2*0.3)))","v":5.2702126924999995E-2}]
["South-Eastern Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X49 - ILO - ILO modelled estimates","Decile: Decile 8",2017,10.6700584,null,0.106700584,{"$f":"H2033*((0.1+(2*0.2)))","v":5.3350292000000001E-2}]
["South-Eastern Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X49 - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.01267258,null,0.17012672579999999,{"$f":"H2034*((0.1+(2*0.1)))","v":5.1038017740000004E-2}]
["South-Eastern Asia and the Pacific","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X49 - ILO - ILO modelled estimates","Decile: Decile 10",2017,49.620151440000001,null,0.49620151439999999,{"$f":"H2035*((0.1+(2*0)))","v":4.9620151440000003E-2},{"$f":"1-(I2026+I2027+I2028+I2029+I2030+I2031+I2032+I2033+I2034+I2035)","v":0.616258054848}]
["South-Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X54 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.45501028700000001,null,{"$f":"F2036/100","v":4.5501028700000003E-3},{"$f":"H2036*((0.1+(2*0.9)))","v":8.6451954530000017E-3}]
["South-Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X54 - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.1337017760000001,null,{"$f":"F2037/100","v":1.1337017760000002E-2},{"$f":"H2037*((0.1+(2*0.8)))","v":1.9272930192000003E-2}]
["South-Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X54 - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.9281157609999999,null,1.9281157609999999E-2,{"$f":"H2038*((0.1+(2*0.7)))","v":2.8921736414999996E-2}]
["South-Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X54 - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.011738619,null,3.0117386189999998E-2,{"$f":"H2039*((0.1+(2*0.6)))","v":3.9152602046999996E-2}]
["South-Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X54 - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.4130126330000001,null,4.4130126329999998E-2,{"$f":"H2040*((0.1+(2*0.5)))","v":4.8543138962999999E-2}]
["South-Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X54 - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.1241639599999997,null,6.1241639599999995E-2,{"$f":"H2041*((0.1+(2*0.4)))","v":5.5117475639999997E-2}]
["South-Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X54 - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.3084202999999999,null,8.3084202999999995E-2,{"$f":"H2042*((0.1+(2*0.3)))","v":5.8158942099999993E-2}]
["South-Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X54 - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.45784501,null,0.11457845009999999,{"$f":"H2043*((0.1+(2*0.2)))","v":5.7289225049999996E-2}]
["South-Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X54 - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.430722630000002,null,0.17430722630000001,{"$f":"H2044*((0.1+(2*0.1)))","v":5.2292167890000012E-2}]
["South-Eastern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X54 - ILO - ILO modelled estimates","Decile: Decile 10",2017,45.73726903,null,0.4573726903,{"$f":"H2045*((0.1+(2*0)))","v":4.573726903E-2},{"$f":"1-(I2036+I2037+I2038+I2039+I2040+I2041+I2042+I2043+I2044+I2045)","v":0.58686931722000002}]
["Pacific Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X55 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.21679014699999999,null,{"$f":"F2046/100","v":2.1679014699999997E-3},{"$f":"H2046*((0.1+(2*0.9)))","v":4.1190127929999999E-3}]
["Pacific Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X55 - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.0262434010000001,null,{"$f":"F2047/100","v":1.0262434010000002E-2},{"$f":"H2047*((0.1+(2*0.8)))","v":1.7446137817000006E-2}]
["Pacific Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X55 - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.363382954,null,2.3633829539999998E-2,{"$f":"H2048*((0.1+(2*0.7)))","v":3.5450744309999997E-2}]
["Pacific Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X55 - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.0594718329999999,null,4.0594718330000001E-2,{"$f":"H2049*((0.1+(2*0.6)))","v":5.2773133829E-2}]
["Pacific Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X55 - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.0268223030000003,null,6.0268223030000005E-2,{"$f":"H2050*((0.1+(2*0.5)))","v":6.6295045333000013E-2}]
["Pacific Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X55 - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.1331128160000006,null,8.1331128160000002E-2,{"$f":"H2051*((0.1+(2*0.4)))","v":7.3198015344E-2}]
["Pacific Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X55 - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.880159620000001,null,0.1088015962,{"$f":"H2052*((0.1+(2*0.3)))","v":7.6161117340000001E-2}]
["Pacific Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X55 - ILO - ILO modelled estimates","Decile: Decile 8",2017,14.42975201,null,0.14429752009999999,{"$f":"H2053*((0.1+(2*0.2)))","v":7.2148760049999996E-2}]
["Pacific Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X55 - ILO - ILO modelled estimates","Decile: Decile 9",2017,19.884563069999999,null,0.1988456307,{"$f":"H2054*((0.1+(2*0.1)))","v":5.9653689210000006E-2}]
["Pacific Islands","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X55 - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.979701849999998,null,0.32979701849999998,{"$f":"H2055*((0.1+(2*0)))","v":3.2979701850000001E-2},{"$f":"1-(I2046+I2047+I2048+I2049+I2050+I2051+I2052+I2053+I2054+I2055)","v":0.50977464212399992}]
["Southern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X56 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.256400672,null,{"$f":"F2056/100","v":2.5640067199999999E-3},{"$f":"H2056*((0.1+(2*0.9)))","v":4.8716127680000004E-3}]
["Southern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X56 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.70627116000000001,null,{"$f":"F2057/100","v":7.0627116000000004E-3},{"$f":"H2057*((0.1+(2*0.8)))","v":1.2006609720000002E-2}]
["Southern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X56 - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.1596740400000001,null,1.1596740400000001E-2,{"$f":"H2058*((0.1+(2*0.7)))","v":1.7395110600000003E-2}]
["Southern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X56 - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.5891114390000001,null,1.5891114390000002E-2,{"$f":"H2059*((0.1+(2*0.6)))","v":2.0658448707000003E-2}]
["Southern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X56 - ILO - ILO modelled estimates","Decile: Decile 5",2017,2.3798158950000001,null,2.3798158950000002E-2,{"$f":"H2060*((0.1+(2*0.5)))","v":2.6177974845000004E-2}]
["Southern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X56 - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.2535558120000001,null,3.2535558120000002E-2,{"$f":"H2061*((0.1+(2*0.4)))","v":2.9282002308000002E-2}]
["Southern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X56 - ILO - ILO modelled estimates","Decile: Decile 7",2017,4.4245604199999997,null,4.4245604199999997E-2,{"$f":"H2062*((0.1+(2*0.3)))","v":3.0971922939999997E-2}]
["Southern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X56 - ILO - ILO modelled estimates","Decile: Decile 8",2017,6.7943337340000003,null,6.7943337340000007E-2,{"$f":"H2063*((0.1+(2*0.2)))","v":3.3971668670000003E-2}]
["Southern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X56 - ILO - ILO modelled estimates","Decile: Decile 9",2017,14.54358343,null,0.14543583430000001,{"$f":"H2064*((0.1+(2*0.1)))","v":4.3630750290000013E-2}]
["Southern Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X56 - ILO - ILO modelled estimates","Decile: Decile 10",2017,64.892693390000005,null,0.6489269339,{"$f":"H2065*((0.1+(2*0)))","v":6.4892693390000006E-2},{"$f":"1-(I2056+I2057+I2058+I2059+I2060+I2061+I2062+I2063+I2064+I2065)","v":0.71614120576199991}]
["Europe and Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X60 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.91247485100000003,null,{"$f":"F2066/100","v":9.1247485100000008E-3},{"$f":"H2066*((0.1+(2*0.9)))","v":1.7337022169000002E-2}]
["Europe and Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X60 - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.2884862579999998,null,{"$f":"F2067/100","v":2.2884862579999998E-2},{"$f":"H2067*((0.1+(2*0.8)))","v":3.8904266386000003E-2}]
["Europe and Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X60 - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.738263549,null,3.7382635490000003E-2,{"$f":"H2068*((0.1+(2*0.7)))","v":5.6073953235000001E-2}]
["Europe and Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X60 - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.0758574000000003,null,5.0758574000000001E-2,{"$f":"H2069*((0.1+(2*0.6)))","v":6.5986146199999998E-2}]
["Europe and Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X60 - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.4797531199999998,null,6.4797531199999994E-2,{"$f":"H2070*((0.1+(2*0.5)))","v":7.1277284319999995E-2}]
["Europe and Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X60 - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.2354337770000008,null,8.2354337770000008E-2,{"$f":"H2071*((0.1+(2*0.4)))","v":7.4118903993000015E-2}]
["Europe and Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X60 - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.450788729999999,null,0.10450788729999999,{"$f":"H2072*((0.1+(2*0.3)))","v":7.3155521109999982E-2}]
["Europe and Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X60 - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.19511908,null,0.13195119080000001,{"$f":"H2073*((0.1+(2*0.2)))","v":6.5975595400000003E-2}]
["Europe and Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X60 - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.244812549999999,null,0.17244812549999999,{"$f":"H2074*((0.1+(2*0.1)))","v":5.1734437650000006E-2}]
["Europe and Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X60 - ILO - ILO modelled estimates","Decile: Decile 10",2017,32.37901068,null,0.32379010679999998,{"$f":"H2075*((0.1+(2*0)))","v":3.237901068E-2},{"$f":"1-(I2066+I2067+I2068+I2069+I2070+I2071+I2072+I2073+I2074+I2075)","v":0.45305785885700001}]
["Northern, Southern and Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X64 - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.4730180020000001,null,{"$f":"F2076/100","v":1.4730180020000001E-2},{"$f":"H2076*((0.1+(2*0.9)))","v":2.7987342038000004E-2}]
["Northern, Southern and Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X64 - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.2348603659999999,null,{"$f":"F2077/100","v":3.2348603660000003E-2},{"$f":"H2077*((0.1+(2*0.8)))","v":5.4992626222000011E-2}]
["Northern, Southern and Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X64 - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.7470947020000001,null,4.7470947020000001E-2,{"$f":"H2078*((0.1+(2*0.7)))","v":7.1206420530000009E-2}]
["Northern, Southern and Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X64 - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.1945413829999998,null,6.1945413829999997E-2,{"$f":"H2079*((0.1+(2*0.6)))","v":8.0529037979000004E-2}]
["Northern, Southern and Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X64 - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.5733457810000004,null,7.5733457810000002E-2,{"$f":"H2080*((0.1+(2*0.5)))","v":8.3306803591000012E-2}]
["Northern, Southern and Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X64 - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.9407963089999996,null,8.9407963090000001E-2,{"$f":"H2081*((0.1+(2*0.4)))","v":8.0467166781000007E-2}]
["Northern, Southern and Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X64 - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.50353814,null,0.1050353814,{"$f":"H2082*((0.1+(2*0.3)))","v":7.3524766980000003E-2}]
["Northern, Southern and Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X64 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.550995220000001,null,0.1255099522,{"$f":"H2083*((0.1+(2*0.2)))","v":6.2754976099999998E-2}]
["Northern, Southern and Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X64 - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.78599713,null,0.15785997130000001,{"$f":"H2084*((0.1+(2*0.1)))","v":4.7357991390000014E-2}]
["Northern, Southern and Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X64 - ILO - ILO modelled estimates","Decile: Decile 10",2017,28.995812969999999,null,0.28995812970000001,{"$f":"H2085*((0.1+(2*0)))","v":2.8995812970000003E-2},{"$f":"1-(I2076+I2077+I2078+I2079+I2080+I2081+I2082+I2083+I2084+I2085)","v":0.38887705541899997}]
["Northern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X67 - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.5241575409999999,null,{"$f":"F2086/100","v":1.5241575409999999E-2},{"$f":"H2086*((0.1+(2*0.9)))","v":2.8958993279000003E-2}]
["Northern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X67 - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.2271123030000002,null,{"$f":"F2087/100","v":3.2271123030000001E-2},{"$f":"H2087*((0.1+(2*0.8)))","v":5.486090915100001E-2}]
["Northern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X67 - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.6317864909999997,null,4.6317864909999999E-2,{"$f":"H2088*((0.1+(2*0.7)))","v":6.9476797364999995E-2}]
["Northern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X67 - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.9412466029999997,null,5.941246603E-2,{"$f":"H2089*((0.1+(2*0.6)))","v":7.7236205838999997E-2}]
["Northern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X67 - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.3215845240000004,null,7.3215845240000008E-2,{"$f":"H2090*((0.1+(2*0.5)))","v":8.053742976400001E-2}]
["Northern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X67 - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.721271561,null,8.7212715610000005E-2,{"$f":"H2091*((0.1+(2*0.4)))","v":7.8491444049000006E-2}]
["Northern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X67 - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.31993112,null,0.10319931119999999,{"$f":"H2092*((0.1+(2*0.3)))","v":7.2239517839999989E-2}]
["Northern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X67 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.34505326,null,0.1234505326,{"$f":"H2093*((0.1+(2*0.2)))","v":6.1725266299999998E-2}]
["Northern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X67 - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.55883034,null,0.15558830339999999,{"$f":"H2094*((0.1+(2*0.1)))","v":4.6676491020000002E-2}]
["Northern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X67 - ILO - ILO modelled estimates","Decile: Decile 10",2017,30.409026260000001,null,0.30409026259999999,{"$f":"H2095*((0.1+(2*0)))","v":3.0409026259999999E-2},{"$f":"1-(I2086+I2087+I2088+I2089+I2090+I2091+I2092+I2093+I2094+I2095)","v":0.39938791913299998}]
["Southern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X68 - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.5649693819999999,null,{"$f":"F2096/100","v":1.5649693819999998E-2},{"$f":"H2096*((0.1+(2*0.9)))","v":2.9734418257999998E-2}]
["Southern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X68 - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.1884503670000002,null,{"$f":"F2097/100","v":3.1884503670000001E-2},{"$f":"H2097*((0.1+(2*0.8)))","v":5.420365623900001E-2}]
["Southern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X68 - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.382510946,null,4.3825109459999997E-2,{"$f":"H2098*((0.1+(2*0.7)))","v":6.5737664189999989E-2}]
["Southern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X68 - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.77232681,null,5.7723268100000003E-2,{"$f":"H2099*((0.1+(2*0.6)))","v":7.5040248530000006E-2}]
["Southern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X68 - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.2875911389999999,null,7.2875911389999992E-2,{"$f":"H2100*((0.1+(2*0.5)))","v":8.0163502528999994E-2}]
["Southern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X68 - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.8372278600000005,null,8.8372278600000007E-2,{"$f":"H2101*((0.1+(2*0.4)))","v":7.9535050740000002E-2}]
["Southern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X68 - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.5077383,null,0.105077383,{"$f":"H2102*((0.1+(2*0.3)))","v":7.3554168099999997E-2}]
["Southern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X68 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.64207865,null,0.12642078649999999,{"$f":"H2103*((0.1+(2*0.2)))","v":6.3210393249999997E-2}]
["Southern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X68 - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.08940166,null,0.16089401659999999,{"$f":"H2104*((0.1+(2*0.1)))","v":4.8268204980000007E-2}]
["Southern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X68 - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.727704889999998,null,0.29727704890000001,{"$f":"H2105*((0.1+(2*0)))","v":2.9727704890000001E-2},{"$f":"1-(I2096+I2097+I2098+I2099+I2100+I2101+I2102+I2103+I2104+I2105)","v":0.40082498829400004}]
["Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X69 - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.450769097,null,{"$f":"F2106/100","v":1.4507690970000001E-2},{"$f":"H2106*((0.1+(2*0.9)))","v":2.7564612843000002E-2}]
["Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X69 - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.6386672230000001,null,{"$f":"F2107/100","v":3.638667223E-2},{"$f":"H2107*((0.1+(2*0.8)))","v":6.1857342791000004E-2}]
["Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X69 - ILO - ILO modelled estimates","Decile: Decile 3",2017,5.3149057019999999,null,5.3149057020000001E-2,{"$f":"H2108*((0.1+(2*0.7)))","v":7.9723585530000002E-2}]
["Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X69 - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.6300762820000001,null,6.6300762819999998E-2,{"$f":"H2109*((0.1+(2*0.6)))","v":8.6190991666E-2}]
["Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X69 - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.8268984079999999,null,7.8268984079999993E-2,{"$f":"H2110*((0.1+(2*0.5)))","v":8.6095882488E-2}]
["Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X69 - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.0709285489999996,null,9.070928549E-2,{"$f":"H2111*((0.1+(2*0.4)))","v":8.1638356940999995E-2}]
["Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X69 - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.537904380000001,null,0.1053790438,{"$f":"H2112*((0.1+(2*0.3)))","v":7.3765330660000003E-2}]
["Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X69 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.43070513,null,0.1243070513,{"$f":"H2113*((0.1+(2*0.2)))","v":6.2153525649999999E-2}]
["Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X69 - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.502127489999999,null,0.15502127490000001,{"$f":"H2114*((0.1+(2*0.1)))","v":4.650638247000001E-2}]
["Western Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X69 - ILO - ILO modelled estimates","Decile: Decile 10",2017,27.597017730000001,null,0.27597017730000001,{"$f":"H2115*((0.1+(2*0)))","v":2.7597017730000003E-2},{"$f":"1-(I2106+I2107+I2108+I2109+I2110+I2111+I2112+I2113+I2114+I2115)","v":0.36690697123099991}]
["Eastern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X70 - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.5520343560000001,null,{"$f":"F2116/100","v":1.552034356E-2},{"$f":"H2116*((0.1+(2*0.9)))","v":2.9488652764000003E-2}]
["Eastern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X70 - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.2821136320000002,null,{"$f":"F2117/100","v":3.2821136319999999E-2},{"$f":"H2117*((0.1+(2*0.8)))","v":5.5795931744000007E-2}]
["Eastern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X70 - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.9296922949999997,null,4.9296922949999995E-2,{"$f":"H2118*((0.1+(2*0.7)))","v":7.3945384424999996E-2}]
["Eastern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X70 - ILO - ILO modelled estimates","Decile: Decile 4",2017,6.3295146610000002,null,6.3295146610000005E-2,{"$f":"H2119*((0.1+(2*0.6)))","v":8.2283690593000017E-2}]
["Eastern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X70 - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.6447433890000003,null,7.6447433889999999E-2,{"$f":"H2120*((0.1+(2*0.5)))","v":8.4092177279000008E-2}]
["Eastern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X70 - ILO - ILO modelled estimates","Decile: Decile 6",2017,9.0276542860000006,null,9.0276542860000003E-2,{"$f":"H2121*((0.1+(2*0.4)))","v":8.1248888574000006E-2}]
["Eastern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X70 - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.65925814,null,0.1065925814,{"$f":"H2122*((0.1+(2*0.3)))","v":7.461480697999999E-2}]
["Eastern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X70 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.77476525,null,0.1277476525,{"$f":"H2123*((0.1+(2*0.2)))","v":6.3873826250000001E-2}]
["Eastern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X70 - ILO - ILO modelled estimates","Decile: Decile 9",2017,16.23978494,null,0.16239784939999999,{"$f":"H2124*((0.1+(2*0.1)))","v":4.8719354820000005E-2}]
["Eastern Europe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X70 - ILO - ILO modelled estimates","Decile: Decile 10",2017,27.56043906,null,0.27560439060000003,{"$f":"H2125*((0.1+(2*0)))","v":2.7560439060000004E-2},{"$f":"1-(I2116+I2117+I2118+I2119+I2120+I2121+I2122+I2123+I2124+I2125)","v":0.37837684751099987}]
["Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X74 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.87671669699999999,null,{"$f":"F2126/100","v":8.7671669700000003E-3},{"$f":"H2126*((0.1+(2*0.9)))","v":1.6657617243000002E-2}]
["Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X74 - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.9917687820000001,null,{"$f":"F2127/100","v":1.9917687820000002E-2},{"$f":"H2127*((0.1+(2*0.8)))","v":3.3860069294000004E-2}]
["Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X74 - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.8284214909999998,null,2.8284214909999997E-2,{"$f":"H2128*((0.1+(2*0.7)))","v":4.2426322364999998E-2}]
["Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X74 - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.8029938579999998,null,3.8029938579999999E-2,{"$f":"H2129*((0.1+(2*0.6)))","v":4.9438920153999998E-2}]
["Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X74 - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.9939432860000004,null,4.9939432860000001E-2,{"$f":"H2130*((0.1+(2*0.5)))","v":5.4933376146000003E-2}]
["Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X74 - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.7045185680000001,null,6.7045185680000008E-2,{"$f":"H2131*((0.1+(2*0.4)))","v":6.0340667112000007E-2}]
["Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X74 - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.3939204469999993,null,9.3939204469999996E-2,{"$f":"H2132*((0.1+(2*0.3)))","v":6.575744312899999E-2}]
["Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X74 - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.017007599999999,null,0.130170076,{"$f":"H2133*((0.1+(2*0.2)))","v":6.5085037999999998E-2}]
["Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X74 - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.228592939999999,null,0.18228592939999999,{"$f":"H2134*((0.1+(2*0.1)))","v":5.4685778820000003E-2}]
["Central Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X74 - ILO - ILO modelled estimates","Decile: Decile 10",2017,38.162116339999997,null,0.38162116339999996,{"$f":"H2135*((0.1+(2*0)))","v":3.8162116339999996E-2},{"$f":"1-(I2126+I2127+I2128+I2129+I2130+I2131+I2132+I2133+I2134+I2135)","v":0.51865265139700001}]
["Central and Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X78 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.73932884700000001,null,{"$f":"F2136/100","v":7.3932884700000003E-3},{"$f":"H2136*((0.1+(2*0.9)))","v":1.4047248093000002E-2}]
["Central and Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X78 - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.6025807400000001,null,{"$f":"F2137/100","v":1.6025807400000001E-2},{"$f":"H2137*((0.1+(2*0.8)))","v":2.7243872580000005E-2}]
["Central and Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X78 - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.5044126599999998,null,2.5044126599999997E-2,{"$f":"H2138*((0.1+(2*0.7)))","v":3.7566189899999998E-2}]
["Central and Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X78 - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.7359825550000001,null,3.7359825550000003E-2,{"$f":"H2139*((0.1+(2*0.6)))","v":4.8567773215000005E-2}]
["Central and Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X78 - ILO - ILO modelled estimates","Decile: Decile 5",2017,5.4319915119999997,null,5.4319915119999999E-2,{"$f":"H2140*((0.1+(2*0.5)))","v":5.9751906632000001E-2}]
["Central and Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X78 - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.761143981,null,7.7611439810000002E-2,{"$f":"H2141*((0.1+(2*0.4)))","v":6.9850295829E-2}]
["Central and Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X78 - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.144710720000001,null,0.10144710720000001,{"$f":"H2142*((0.1+(2*0.3)))","v":7.1012975040000009E-2}]
["Central and Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X78 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.966555749999999,null,0.1296655575,{"$f":"H2143*((0.1+(2*0.2)))","v":6.483277875E-2}]
["Central and Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X78 - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.611779259999999,null,0.1861177926,{"$f":"H2144*((0.1+(2*0.1)))","v":5.5835337780000008E-2}]
["Central and Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X78 - ILO - ILO modelled estimates","Decile: Decile 10",2017,36.501513969999998,null,0.36501513969999999,{"$f":"H2145*((0.1+(2*0)))","v":3.6501513970000003E-2},{"$f":"1-(I2136+I2137+I2138+I2139+I2140+I2141+I2142+I2143+I2144+I2145)","v":0.51479010821100002}]
["Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X79 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.90625145500000004,null,{"$f":"F2146/100","v":9.0625145500000011E-3},{"$f":"H2146*((0.1+(2*0.9)))","v":1.7218777645000002E-2}]
["Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X79 - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.1214781340000002,null,{"$f":"F2147/100","v":2.1214781340000002E-2},{"$f":"H2147*((0.1+(2*0.8)))","v":3.6065128278000007E-2}]
["Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X79 - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.4311551379999998,null,3.4311551379999999E-2,{"$f":"H2148*((0.1+(2*0.7)))","v":5.1467327069999999E-2}]
["Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X79 - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.0796917270000002,null,5.0796917269999999E-2,{"$f":"H2149*((0.1+(2*0.6)))","v":6.6035992451000003E-2}]
["Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X79 - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.0761910180000003,null,7.0761910179999998E-2,{"$f":"H2150*((0.1+(2*0.5)))","v":7.7838101197999998E-2}]
["Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X79 - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.1560498290000005,null,8.1560498290000005E-2,{"$f":"H2151*((0.1+(2*0.4)))","v":7.3404448461000013E-2}]
["Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X79 - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.13386835,null,0.1013386835,{"$f":"H2152*((0.1+(2*0.3)))","v":7.0937078449999996E-2}]
["Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X79 - ILO - ILO modelled estimates","Decile: Decile 8",2017,13.06475167,null,0.13064751669999999,{"$f":"H2153*((0.1+(2*0.2)))","v":6.5323758349999997E-2}]
["Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X79 - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.04829251,null,0.1804829251,{"$f":"H2154*((0.1+(2*0.1)))","v":5.414487753000001E-2}]
["Western Asia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X79 - ILO - ILO modelled estimates","Decile: Decile 10",2017,31.98227017,null,0.31982270169999999,{"$f":"H2155*((0.1+(2*0)))","v":3.198227017E-2},{"$f":"1-(I2146+I2147+I2148+I2149+I2150+I2151+I2152+I2153+I2154+I2155)","v":0.45558224039700002}]
["European Union 28","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X82 - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.7201243850000001,null,{"$f":"F2156/100","v":1.7201243850000002E-2},{"$f":"H2156*((0.1+(2*0.9)))","v":3.2682363315000004E-2}]
["European Union 28","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X82 - ILO - ILO modelled estimates","Decile: Decile 2",2017,3.3867246799999999,null,{"$f":"F2157/100","v":3.38672468E-2},{"$f":"H2157*((0.1+(2*0.8)))","v":5.7574319560000004E-2}]
["European Union 28","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X82 - ILO - ILO modelled estimates","Decile: Decile 3",2017,4.5979184130000004,null,4.5979184130000003E-2,{"$f":"H2158*((0.1+(2*0.7)))","v":6.8968776194999998E-2}]
["European Union 28","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X82 - ILO - ILO modelled estimates","Decile: Decile 4",2017,5.9204740610000002,null,5.9204740610000001E-2,{"$f":"H2159*((0.1+(2*0.6)))","v":7.6966162793000004E-2}]
["European Union 28","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X82 - ILO - ILO modelled estimates","Decile: Decile 5",2017,7.3131563939999999,null,7.3131563940000005E-2,{"$f":"H2160*((0.1+(2*0.5)))","v":8.0444720334000006E-2}]
["European Union 28","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X82 - ILO - ILO modelled estimates","Decile: Decile 6",2017,8.7914754950000003,null,8.7914754950000007E-2,{"$f":"H2161*((0.1+(2*0.4)))","v":7.9123279455000015E-2}]
["European Union 28","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X82 - ILO - ILO modelled estimates","Decile: Decile 7",2017,10.43538289,null,0.1043538289,{"$f":"H2162*((0.1+(2*0.3)))","v":7.3047680229999995E-2}]
["European Union 28","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X82 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.559812429999999,null,0.1255981243,{"$f":"H2163*((0.1+(2*0.2)))","v":6.2799062150000001E-2}]
["European Union 28","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X82 - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.911652760000001,null,0.1591165276,{"$f":"H2164*((0.1+(2*0.1)))","v":4.773495828000001E-2}]
["European Union 28","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X82 - ILO - ILO modelled estimates","Decile: Decile 10",2017,29.3632785,null,0.29363278500000001,{"$f":"H2165*((0.1+(2*0)))","v":2.9363278500000003E-2},{"$f":"1-(I2156+I2157+I2158+I2159+I2160+I2161+I2162+I2163+I2164+I2165)","v":0.39129539918800005}]
["ASEAN","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X84 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.45508169199999998,null,{"$f":"F2166/100","v":4.5508169199999999E-3},{"$f":"H2166*((0.1+(2*0.9)))","v":8.6465521479999995E-3}]
["ASEAN","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X84 - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.133878441,null,{"$f":"F2167/100","v":1.133878441E-2},{"$f":"H2167*((0.1+(2*0.8)))","v":1.9275933497000002E-2}]
["ASEAN","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X84 - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.9284562759999999,null,1.9284562759999999E-2,{"$f":"H2168*((0.1+(2*0.7)))","v":2.8926844139999998E-2}]
["ASEAN","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X84 - ILO - ILO modelled estimates","Decile: Decile 4",2017,3.0123639519999998,null,3.0123639519999999E-2,{"$f":"H2169*((0.1+(2*0.6)))","v":3.9160731375999999E-2}]
["ASEAN","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X84 - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.4151763419999996,null,4.4151763419999997E-2,{"$f":"H2170*((0.1+(2*0.5)))","v":4.8566939762000001E-2}]
["ASEAN","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X84 - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.1273997680000001,null,6.1273997679999997E-2,{"$f":"H2171*((0.1+(2*0.4)))","v":5.5146597912000002E-2}]
["ASEAN","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X84 - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.3122284959999995,null,8.3122284960000001E-2,{"$f":"H2172*((0.1+(2*0.3)))","v":5.8185599471999999E-2}]
["ASEAN","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X84 - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.46149357,null,0.1146149357,{"$f":"H2173*((0.1+(2*0.2)))","v":5.7307467850000002E-2}]
["ASEAN","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X84 - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.431400109999998,null,0.17431400109999998,{"$f":"H2174*((0.1+(2*0.1)))","v":5.2294200329999999E-2}]
["ASEAN","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X84 - ILO - ILO modelled estimates","Decile: Decile 10",2017,45.722521350000001,null,0.45722521350000001,{"$f":"H2175*((0.1+(2*0)))","v":4.5722521350000003E-2},{"$f":"1-(I2166+I2167+I2168+I2169+I2170+I2171+I2172+I2173+I2174+I2175)","v":0.58676661216299997}]
["BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X85 - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.29375225999999999,null,{"$f":"F2176/100","v":2.9375225999999999E-3},{"$f":"H2176*((0.1+(2*0.9)))","v":5.5812929400000004E-3}]
["BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X85 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.74294999299999998,null,{"$f":"F2177/100","v":7.4294999299999998E-3},{"$f":"H2177*((0.1+(2*0.8)))","v":1.2630149881000001E-2}]
["BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X85 - ILO - ILO modelled estimates","Decile: Decile 3",2017,1.300365499,null,1.300365499E-2,{"$f":"H2178*((0.1+(2*0.7)))","v":1.9505482485E-2}]
["BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X85 - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.1341746989999999,null,2.134174699E-2,{"$f":"H2179*((0.1+(2*0.6)))","v":2.7744271087000002E-2}]
["BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X85 - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.4086666860000001,null,3.4086666860000003E-2,{"$f":"H2180*((0.1+(2*0.5)))","v":3.7495333546000008E-2}]
["BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X85 - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.3125423549999997,null,5.3125423549999995E-2,{"$f":"H2181*((0.1+(2*0.4)))","v":4.7812881194999997E-2}]
["BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X85 - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.0876980270000001,null,8.0876980269999996E-2,{"$f":"H2182*((0.1+(2*0.3)))","v":5.6613886188999991E-2}]
["BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X85 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.150345420000001,null,0.12150345420000001,{"$f":"H2183*((0.1+(2*0.2)))","v":6.0751727100000007E-2}]
["BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X85 - ILO - ILO modelled estimates","Decile: Decile 9",2017,18.882140020000001,null,0.18882140020000002,{"$f":"H2184*((0.1+(2*0.1)))","v":5.6646420060000015E-2}]
["BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X85 - ILO - ILO modelled estimates","Decile: Decile 10",2017,47.687365040000003,null,0.47687365040000002,{"$f":"H2185*((0.1+(2*0)))","v":4.7687365040000006E-2},{"$f":"1-(I2176+I2177+I2178+I2179+I2180+I2181+I2182+I2183+I2184+I2185)","v":0.62753119047700001}]
["World excluding BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X87 - ILO - ILO modelled estimates","Decile: Decile 1",2017,8.7131230000000004E-2,null,{"$f":"F2186/100","v":8.7131230000000006E-4},{"$f":"H2186*((0.1+(2*0.9)))","v":1.6554933700000003E-3}]
["World excluding BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X87 - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.38266399200000001,null,{"$f":"F2187/100","v":3.82663992E-3},{"$f":"H2187*((0.1+(2*0.8)))","v":6.5052878640000002E-3}]
["World excluding BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X87 - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.90355018399999998,null,9.0355018399999997E-3,{"$f":"H2188*((0.1+(2*0.7)))","v":1.3553252759999999E-2}]
["World excluding BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X87 - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.7270127909999999,null,1.7270127909999999E-2,{"$f":"H2189*((0.1+(2*0.6)))","v":2.2451166283E-2}]
["World excluding BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X87 - ILO - ILO modelled estimates","Decile: Decile 5",2017,3.0223433790000001,null,3.022343379E-2,{"$f":"H2190*((0.1+(2*0.5)))","v":3.3245777169000006E-2}]
["World excluding BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X87 - ILO - ILO modelled estimates","Decile: Decile 6",2017,4.9968739190000004,null,4.9968739190000007E-2,{"$f":"H2191*((0.1+(2*0.4)))","v":4.4971865271000007E-2}]
["World excluding BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X87 - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.9371959260000002,null,7.937195926E-2,{"$f":"H2192*((0.1+(2*0.3)))","v":5.5560371481999993E-2}]
["World excluding BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X87 - ILO - ILO modelled estimates","Decile: Decile 8",2017,12.755916190000001,null,0.1275591619,{"$f":"H2193*((0.1+(2*0.2)))","v":6.3779580949999998E-2}]
["World excluding BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X87 - ILO - ILO modelled estimates","Decile: Decile 9",2017,20.94815101,null,0.20948151009999999,{"$f":"H2194*((0.1+(2*0.1)))","v":6.2844453030000011E-2}]
["World excluding BRICS","Labour income distribution -- ILO modelled estimates, July 2019 (%)","X87 - ILO - ILO modelled estimates","Decile: Decile 10",2017,47.23916139,null,0.47239161390000001,{"$f":"H2195*((0.1+(2*0)))","v":4.7239161390000006E-2},{"$f":"1-(I2186+I2187+I2188+I2189+I2190+I2191+I2192+I2193+I2194+I2195)","v":0.648193590431}]
["Yemen, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","YEM - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.42597752799999999,"Model-based extrapolation",{"$f":"F2196/100","v":4.2597752800000001E-3},{"$f":"H2196*((0.1+(2*0.9)))","v":8.0935730320000013E-3}]
["Yemen, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","YEM - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.1756069659999999,"Model-based extrapolation",{"$f":"F2197/100","v":1.175606966E-2},{"$f":"H2197*((0.1+(2*0.8)))","v":1.9985318422000003E-2}]
["Yemen, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","YEM - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.0487189290000001,"Model-based extrapolation",2.0487189289999999E-2,{"$f":"H2198*((0.1+(2*0.7)))","v":3.0730783934999999E-2}]
["Yemen, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","YEM - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.8804416659999998,"Model-based extrapolation",2.8804416659999998E-2,{"$f":"H2199*((0.1+(2*0.6)))","v":3.7445741657999999E-2}]
["Yemen, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","YEM - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.5179295540000002,"Model-based extrapolation",4.5179295540000004E-2,{"$f":"H2200*((0.1+(2*0.5)))","v":4.9697225094000007E-2}]
["Yemen, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","YEM - ILO - ILO modelled estimates","Decile: Decile 6",2017,6.963300705,"Model-based extrapolation",6.9633007050000001E-2,{"$f":"H2201*((0.1+(2*0.4)))","v":6.2669706345000006E-2}]
["Yemen, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","YEM - ILO - ILO modelled estimates","Decile: Decile 7",2017,8.6199407580000003,"Model-based extrapolation",8.6199407579999998E-2,{"$f":"H2202*((0.1+(2*0.3)))","v":6.0339585305999997E-2}]
["Yemen, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","YEM - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.06040001,"Model-based extrapolation",0.1106040001,{"$f":"H2203*((0.1+(2*0.2)))","v":5.5302000050000001E-2}]
["Yemen, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","YEM - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.78658581,"Model-based extrapolation",0.15786585810000001,{"$f":"H2204*((0.1+(2*0.1)))","v":4.735975743000001E-2}]
["Yemen, Rep.","Labour income distribution -- ILO modelled estimates, July 2019 (%)","YEM - ILO - ILO modelled estimates","Decile: Decile 10",2017,46.521106719999999,"Model-based extrapolation",0.46521106719999999,{"$f":"H2205*((0.1+(2*0)))","v":4.6521106720000004E-2},{"$f":"1-(I2196+I2197+I2198+I2199+I2200+I2201+I2202+I2203+I2204+I2205)","v":0.58185520200800001}]
["South Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZAF - ILO - ILO modelled estimates","Decile: Decile 1",2017,1.0532100200000001,"Imputation",{"$f":"F2206/100","v":1.05321002E-2},{"$f":"H2206*((0.1+(2*0.9)))","v":2.0010990380000003E-2}]
["South Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZAF - ILO - ILO modelled estimates","Decile: Decile 2",2017,2.427121401,"Imputation",{"$f":"F2207/100","v":2.427121401E-2},{"$f":"H2207*((0.1+(2*0.8)))","v":4.1261063817000003E-2}]
["South Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZAF - ILO - ILO modelled estimates","Decile: Decile 3",2017,3.711628675,"Imputation",3.7116286749999998E-2,{"$f":"H2208*((0.1+(2*0.7)))","v":5.5674430124999993E-2}]
["South Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZAF - ILO - ILO modelled estimates","Decile: Decile 4",2017,4.9381985659999996,"Imputation",4.9381985659999995E-2,{"$f":"H2209*((0.1+(2*0.6)))","v":6.4196581357999993E-2}]
["South Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZAF - ILO - ILO modelled estimates","Decile: Decile 5",2017,6.1679692270000004,"Imputation",6.1679692270000003E-2,{"$f":"H2210*((0.1+(2*0.5)))","v":6.7847661497000014E-2}]
["South Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZAF - ILO - ILO modelled estimates","Decile: Decile 6",2017,7.5645956989999998,"Imputation",7.5645956989999999E-2,{"$f":"H2211*((0.1+(2*0.4)))","v":6.8081361290999995E-2}]
["South Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZAF - ILO - ILO modelled estimates","Decile: Decile 7",2017,9.4031353000000006,"Imputation",9.4031353000000012E-2,{"$f":"H2212*((0.1+(2*0.3)))","v":6.58219471E-2}]
["South Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZAF - ILO - ILO modelled estimates","Decile: Decile 8",2017,11.96214771,"Imputation",0.1196214771,{"$f":"H2213*((0.1+(2*0.2)))","v":5.9810738549999999E-2}]
["South Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZAF - ILO - ILO modelled estimates","Decile: Decile 9",2017,17.110933299999999,"Imputation",0.171109333,{"$f":"H2214*((0.1+(2*0.1)))","v":5.133279990000001E-2}]
["South Africa","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZAF - ILO - ILO modelled estimates","Decile: Decile 10",2017,35.661060329999998,"Imputation",0.3566106033,{"$f":"H2215*((0.1+(2*0)))","v":3.5661060330000001E-2},{"$f":"1-(I2206+I2207+I2208+I2209+I2210+I2211+I2212+I2213+I2214+I2215)","v":0.47030136565199998}]
["Zambia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZMB - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.16955331000000001,null,{"$f":"F2216/100","v":1.6955331000000002E-3},{"$f":"H2216*((0.1+(2*0.9)))","v":3.2215128900000005E-3}]
["Zambia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZMB - ILO - ILO modelled estimates","Decile: Decile 2",2017,0.43280294499999999,null,{"$f":"F2217/100","v":4.3280294499999997E-3},{"$f":"H2217*((0.1+(2*0.8)))","v":7.3576500650000005E-3}]
["Zambia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZMB - ILO - ILO modelled estimates","Decile: Decile 3",2017,0.72203922300000001,null,7.2203922299999999E-3,{"$f":"H2218*((0.1+(2*0.7)))","v":1.0830588344999999E-2}]
["Zambia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZMB - ILO - ILO modelled estimates","Decile: Decile 4",2017,1.1423547270000001,null,1.1423547270000001E-2,{"$f":"H2219*((0.1+(2*0.6)))","v":1.4850611451000001E-2}]
["Zambia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZMB - ILO - ILO modelled estimates","Decile: Decile 5",2017,1.859717488,null,1.8597174880000001E-2,{"$f":"H2220*((0.1+(2*0.5)))","v":2.0456892368000003E-2}]
["Zambia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZMB - ILO - ILO modelled estimates","Decile: Decile 6",2017,3.3450229170000001,null,3.3450229169999998E-2,{"$f":"H2221*((0.1+(2*0.4)))","v":3.0105206252999998E-2}]
["Zambia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZMB - ILO - ILO modelled estimates","Decile: Decile 7",2017,5.4693112370000003,null,5.4693112370000005E-2,{"$f":"H2222*((0.1+(2*0.3)))","v":3.8285178659000003E-2}]
["Zambia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZMB - ILO - ILO modelled estimates","Decile: Decile 8",2017,9.2481698990000005,null,9.248169899E-2,{"$f":"H2223*((0.1+(2*0.2)))","v":4.6240849495E-2}]
["Zambia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZMB - ILO - ILO modelled estimates","Decile: Decile 9",2017,20.04454041,null,0.2004454041,{"$f":"H2224*((0.1+(2*0.1)))","v":6.013362123000001E-2}]
["Zambia","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZMB - ILO - ILO modelled estimates","Decile: Decile 10",2017,57.566490170000002,null,0.57566490170000006,{"$f":"H2225*((0.1+(2*0)))","v":5.7566490170000012E-2},{"$f":"1-(I2216+I2217+I2218+I2219+I2220+I2221+I2222+I2223+I2224+I2225)","v":0.71095139907399996}]
["Zimbabwe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZWE - ILO - ILO modelled estimates","Decile: Decile 1",2017,0.57360255699999996,"Imputation",{"$f":"F2226/100","v":5.73602557E-3},{"$f":"H2226*((0.1+(2*0.9)))","v":1.0898448583000001E-2}]
["Zimbabwe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZWE - ILO - ILO modelled estimates","Decile: Decile 2",2017,1.277161121,"Imputation",{"$f":"F2227/100","v":1.277161121E-2},{"$f":"H2227*((0.1+(2*0.8)))","v":2.1711739057000003E-2}]
["Zimbabwe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZWE - ILO - ILO modelled estimates","Decile: Decile 3",2017,2.0229725840000001,"Imputation",2.0229725840000001E-2,{"$f":"H2228*((0.1+(2*0.7)))","v":3.0344588759999999E-2}]
["Zimbabwe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZWE - ILO - ILO modelled estimates","Decile: Decile 4",2017,2.8808014389999999,"Imputation",2.8808014389999997E-2,{"$f":"H2229*((0.1+(2*0.6)))","v":3.7450418706999999E-2}]
["Zimbabwe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZWE - ILO - ILO modelled estimates","Decile: Decile 5",2017,4.0429491999999998,"Imputation",4.0429491999999997E-2,{"$f":"H2230*((0.1+(2*0.5)))","v":4.4472441200000004E-2}]
["Zimbabwe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZWE - ILO - ILO modelled estimates","Decile: Decile 6",2017,5.2828478810000004,"Imputation",5.2828478810000003E-2,{"$f":"H2231*((0.1+(2*0.4)))","v":4.7545630929E-2}]
["Zimbabwe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZWE - ILO - ILO modelled estimates","Decile: Decile 7",2017,7.2638974190000001,"Imputation",7.2638974189999997E-2,{"$f":"H2232*((0.1+(2*0.3)))","v":5.0847281932999998E-2}]
["Zimbabwe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZWE - ILO - ILO modelled estimates","Decile: Decile 8",2017,9.8028545380000001,"Imputation",9.8028545379999998E-2,{"$f":"H2233*((0.1+(2*0.2)))","v":4.9014272689999999E-2}]
["Zimbabwe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZWE - ILO - ILO modelled estimates","Decile: Decile 9",2017,15.817071909999999,"Imputation",0.1581707191,{"$f":"H2234*((0.1+(2*0.1)))","v":4.7451215730000003E-2}]
["Zimbabwe","Labour income distribution -- ILO modelled estimates, July 2019 (%)","ZWE - ILO - ILO modelled estimates","Decile: Decile 10",2017,51.035842899999999,"Imputation",0.51035842899999995,{"$f":"H2235*((0.1+(2*0)))","v":5.1035842899999996E-2},{"$f":"1-(I2226+I2227+I2228+I2229+I2230+I2231+I2232+I2233+I2234+I2235)","v":0.60922811951099998}]

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["SUMMARY PAGE"]
["Not in the CRII",null,"Education - % total government budget",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health - % total government expenditure",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Social Protection - % total government expenditure"]
["Country Name","Region","GSW","Year ","UIS","Year ","OECD","Year ","AsDB","Year ","CEPAL","Year","Eurostat","Year","National\nBudget","Year ","IMF","Year ","Selected\nsource","%Gov","Year","GSW","Year ","WHO","Year ","OECD","Year ","AsDB","Year ","CEPAL","Year","Eurostat","Year","National\nBudget","Year ","IMF","Year ","Selected\nsource","% Gov","Year","GSW","Year ","ILO","Year ","OECD","Year ","AsDB","Year ","CEPAL","Year","Eurostat","Year","National\nBudget","Year ","Oxfam Office","Year ","IMF","Year ","Selected\nsource","% Gov","Year"]
[1,{"$f":"A4+1","v":2},3,4,{"$f":"D4+1","v":5},{"$f":"E4+1","v":6},{"$f":"F4+1","v":7},{"$f":"G4+1","v":8},{"$f":"H4+1","v":9},{"$f":"I4+1","v":10},{"$f":"J4+1","v":11},{"$f":"K4+1","v":12},{"$f":"L4+1","v":13},{"$f":"M4+1","v":14},{"$f":"N4+1","v":15},{"$f":"O4+1","v":16},{"$f":"P4+1","v":17},{"$f":"Q4+1","v":18},{"$f":"R4+1","v":19},{"$f":"S4+1","v":20},{"$f":"T4+1","v":21},{"$f":"U4+1","v":22},{"$f":"V4+1","v":23},{"$f":"W4+1","v":24},{"$f":"X4+1","v":25},{"$f":"Y4+1","v":26},{"$f":"Z4+1","v":27},{"$f":"AA4+1","v":28},{"$f":"AB4+1","v":29},{"$f":"AC4+1","v":30},{"$f":"AD4+1","v":31},{"$f":"AE4+1","v":32},{"$f":"AF4+1","v":33},{"$f":"AG4+1","v":34},{"$f":"AH4+1","v":35},{"$f":"AI4+1","v":36},{"$f":"AJ4+1","v":37},{"$f":"AK4+1","v":38},{"$f":"AL4+1","v":39},{"$f":"AM4+1","v":40},{"$f":"AN4+1","v":41},{"$f":"AO4+1","v":42},{"$f":"AP4+1","v":43},{"$f":"AQ4+1","v":44},{"$f":"AR4+1","v":45},{"$f":"AS4+1","v":46},{"$f":"AT4+1","v":47},{"$f":"AU4+1","v":48},{"$f":"AV4+1","v":49},{"$f":"AW4+1","v":50},{"$f":"AX4+1","v":51},{"$f":"AY4+1","v":52},{"$f":"AZ4+1","v":53},{"$f":"BA4+1","v":54},{"$f":"BB4+1","v":55},{"$f":"BC4+1","v":56},{"$f":"BD4+1","v":57},{"$f":"BE4+1","v":58},{"$f":"BF4+1","v":59},{"$f":"BG4+1","v":60},{"$f":"BH4+1","v":61}]
["Afghanistan","SA",{"$f":"IFERROR(VLOOKUP(A5,GSW_EDU_2020,3,FALSE),\"\")","v":11.8},{"$f":"IFERROR(VLOOKUP(A5,GSW_EDU_2020,5,FALSE),\"\")","v":2019},{"$f":"IFERROR(VLOOKUP(A5,UIS_Education_GOV,25,FALSE),\"\")","v":15.661379999999998},{"$f":"IFERROR(VLOOKUP(A5,UIS_Education_GOV,24,FALSE),\"\")","v":"2017"},{"$f":"IFERROR(VLOOKUP(A5,OECD_EDUCATION_GOV_2019,2,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,OECD_EDUCATION_GOV_2019,3,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,AsDB_GOV_2020,7,FALSE),\"\")","v":12.022591028482319},{"$f":"IFERROR(VLOOKUP(A5,AsDB_GOV_2020,2,FALSE),\"\")","v":2018},{"$f":"IFERROR(VLOOKUP(A5,CepalGovExp,4,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,CepalGovExp,2,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,Eurostat_Edu_Gov_2019,9,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,Eurostat_Edu_Gov_2019,10,FALSE),\"\")","v":""},null,null,{"$f":"IFERROR(VLOOKUP(A5,IMF_COFOG_GOV_EDU_CRII3,5,FALSE),\"\")","v":8.2024720625444605},{"$f":"IFERROR(VLOOKUP(A5,IMF_COFOG_GOV_EDU_CRII3,6,FALSE),\"\")","v":2017},"AsDB",{"$f":"I5","v":12.022591028482319},{"$f":"J5","v":2018},{"$f":"IFERROR(VLOOKUP(A5,GSW_HE_2020,3,FALSE),\"\")","v":4.04},{"$f":"IFERROR(VLOOKUP(A5,GSW_HE_2020,5,FALSE),\"\")","v":2019},{"$f":"IFERROR(VLOOKUP(A5,WHO_GOV_2020,9,FALSE),\"\")","v":6.0186291299999999},{"$f":"IFERROR(VLOOKUP(A5,WHO_GOV_2020,8,FALSE),\"\")","v":2017},{"$f":"IFERROR(VLOOKUP(A5,OECD_HEALTH_GOV_2019,2,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,OECD_HEALTH_GOV_2019,3,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,AsDB_GOV_2020,8,FALSE),\"\")","v":6.3091637571360053},{"$f":"IFERROR(VLOOKUP(A5,AsDB_GOV_2020,2,FALSE),\"\")","v":2018},{"$f":"IFERROR(VLOOKUP(A5,CepalGovExp,5,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,CepalGovExp,2,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,Eurostat_Health_Gov_2019,9,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,Eurostat_Health_Gov_2019,10,FALSE),\"\")","v":""},null,null,{"$f":"IFERROR(VLOOKUP(A5,IMF_COFOG_GOV_HE_CRII3,5,FALSE),\"\")","v":4.4645240419107397},{"$f":"IFERROR(VLOOKUP(A5,IMF_COFOG_GOV_HE_CRII3,6,FALSE),\"\")","v":2017},"GSW",{"$f":"V5","v":4.04},{"$f":"W5","v":2019},{"$f":"IFERROR(VLOOKUP(A5,GSW_SP_2020,3,FALSE),\"\")","v":3.51},{"$f":"IFERROR(VLOOKUP(A5,GSW_SP_2020,5,FALSE),\"\")","v":2019},{"$f":"IFERROR(VLOOKUP(A5,ILO_Gov_2020_CRII,3,FALSE),\"\")","v":""},null,{"$f":"IFERROR(VLOOKUP(A5,OECD_SP_Gov,2,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,OECD_SP_Gov,3,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,AsDB_GOV_2020,9,FALSE),\"\")","v":8.0668308723063333},{"$f":"IFERROR(VLOOKUP(A5,AsDB_GOV_2020,2,FALSE),\"\")","v":2018},{"$f":"IFERROR(VLOOKUP(A5,CepalGovExp,6,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,CepalGovExp,2,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,Eurostat_SP_Gov_2019,9,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,Eurostat_SP_Gov_2019,10,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A5,National_Budget,9,FALSE),\"\")","v":0},{"$f":"IFERROR(VLOOKUP(A5,National_Budget,10,FALSE),\"\")","v":0},null,null,{"$f":"IFERROR(VLOOKUP(A5,IMF_COFOG_GOV_SP_CRII3,5,FALSE),\"\")","v":4.1065469996156798},{"$f":"IFERROR(VLOOKUP(A5,IMF_COFOG_GOV_SP_CRII3,6,FALSE),\"\")","v":2017},"AsDB",{"$f":"AU5","v":8.0668308723063333},{"$f":"AV5","v":2018}]
["Albania","ECA",8.23,2019,8.4354600000000008,"2018","","","","","","","","",null,null,10.970696745127499,2018,"GSW",{"$f":"C6","v":8.23},{"$f":"D6","v":2019},10.8,2019,14.76075745,2017,"","","","","","","","",null,null,10.417648429522799,2018,"GSW",{"$f":"V6","v":10.8},{"$f":"W6","v":2019},33.119999999999997,2019,28.50933120851591,{"$f":"IFERROR(VLOOKUP(A6,ILO_Gov_2020_CRII,4,FALSE),\"\")","v":2014},"","","","","","","","",0,0,null,null,32.132481505974098,2018,"GSW",{"$f":"AO6","v":33.119999999999997},{"$f":"AP6","v":2019}]
["Algeria","MENA","","",11.42835,"2008","","","","","","","","",null,null,"","","UIS",{"$f":"E7","v":11.42835},{"$f":"F7","v":"2008"},"","",10.73546767,2017,"","","","","","","","",null,null,"","","WHO",{"$f":"X7","v":10.73546767},{"$f":"Y7","v":2017},"","",11.846892698241133,2011,"","","","","","","","",0,0,null,null,"","","ILO",{"$f":"AQ7","v":11.846892698241133},{"$f":"AR7","v":2011}]
["Angola","SSA",9.58,2019,8.6847700000000003,"2010","","","","","","","","",null,null,"","","GSW",{"$f":"C8","v":9.58},{"$f":"D8","v":2019},10.84,2019,5.5662731700000005,2017,"","","","","","","","",null,null,"","","GSW",{"$f":"V8","v":10.84},{"$f":"W8","v":2019},7.61,2019,16.551372700459112,2014,"","","","","","","","",0,0,null,null,"","","ILO",{"$f":"AQ8","v":16.551372700459112},{"$f":"AR8","v":2014}]
["Antigua and Barbuda","LAC","","",6.92814,"2009","","","","","","","","",null,null,"","","UIS",{"$f":"E9","v":6.92814},{"$f":"F9","v":"2009"},"","",9.48342989,2017,"","","","","","","","",null,null,"","","WHO",{"$f":"X9","v":9.48342989},{"$f":"Y9","v":2017},"","","",null,"","","","","","","","",0,0,null,null,"","","ILO",12.78,2011,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"3.05/23.861*100","v":12.782364527890699}]
["Argentina","LAC","","",13.263920000000001,"2017","","","","",5.7836644591611481,2018,"","",{"$f":"PS_Source_National_Budgets!C11","v":4.9400000000000004},{"$f":"PS_Source_National_Budgets!D11","v":2019},"","","UIS",{"$f":"E10","v":13.263920000000001},{"$f":"F10","v":"2017"},"","",16.160691910000001,2017,"","","","",3.6203090507726272,2018,"","",{"$f":"PS_Source_National_Budgets!F11","v":3.55},{"$f":"PS_Source_National_Budgets!G11","v":2019},"","","WHO",{"$f":"X10","v":16.160691910000001},{"$f":"Y10","v":2017},"","",34.324442476728052,2015,"","","","",48.476821192052981,2018,"","",47.77,2019,null,null,"","","Nat Budget",{"$f":"BA10","v":47.77},{"$f":"BB10","v":2019}]
["Armenia","ECA",8.58,2019,10.403130000000001,"2017","","",10.059622754427044,2018,"","","","",null,null,8.9885770256581203,2018,"GSW",{"$f":"C11","v":8.58},{"$f":"D11","v":2019},5.44,2019,5.6456412899999995,2017,"","",5.3873254387040204,2018,"","","","",null,null,5.4429107493794397,2018,"GSW",{"$f":"V11","v":5.44},{"$f":"W11","v":2019},26.99,2019,21.447688803951046,2014,"","",28.273528328964918,2018,"","","","",0,0,null,null,27.5686931833899,2018,"GSW",{"$f":"AO11","v":26.99},{"$f":"AP11","v":2019}]
["Australia","EAP","","",13.77107,"2016",14.62299480371629,2015,15.393756393654403,2018,"","","","",null,null,15.1410079619505,2018,"AsDB",{"$f":"I12","v":15.393756393654403},{"$f":"J12","v":2018},"","",16.911089280000002,2017,19.375214292609694,2015,20.031338564669014,2018,"","","","",null,null,19.272147361855701,2018,"AsDB",{"$f":"AB12","v":20.031338564669014},{"$f":"AC12","v":2018},"","",33.554807770580872,2014,28.187259284903483,2015,27.526942202909481,2018,"","","","",0,0,null,null,26.3410942767661,2018,"AsDB",{"$f":"AU12","v":27.526942202909481},{"$f":"AV12","v":2018}]
["Austria","ECA","","",10.953849999999999,"2016",9.8201734635420141,2018,"","","","",9.8000000000000007,"2018",null,null,9.8320742830675201,2018,"OECD",{"$f":"G13","v":9.8201734635420141},{"$f":"H13","v":2018},"","",17.20208074,2017,16.786794388414446,2018,"","","","",16.8,"2018",null,null,16.807137879409801,2018,"OECD",{"$f":"Z13","v":16.786794388414446},{"$f":"AA13","v":2018},"","",36.556578192926629,2014,41.376250682796197,2018,"","","","",41.4,"2018",0,0,null,null,41.426393513149101,2018,"OECD",{"$f":"AS13","v":41.376250682796197},{"$f":"AT13","v":2018}]
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["United Kingdom","ECA","","",13.831099999999998,"2016",11.823797057664224,2018,"","","","",11.8,"2018",null,null,11.827515868403401,2018,"OECD",{"$f":"G175","v":11.823797057664224},{"$f":"H175","v":2018},"","",19.34523347,2017,18.329334727718884,2018,"","","","",18.3,"2018",null,null,18.3350996547127,2018,"OECD",{"$f":"Z175","v":18.329334727718884},{"$f":"AA175","v":2018},"","",34.355909222670014,2014,36.519458741453121,2018,"","","","",36.5,"2018",0,0,null,null,36.5309448110036,2018,"OECD",{"$f":"AS175","v":36.519458741453121},{"$f":"AT175","v":2018}]
["United States","NA","","",13.39711,"2014",15.716597301727703,2018,"","","","","","",null,null,15.716597301727701,2018,"OECD",15.716597301727703,2018,"","",39.581128730000003,2017,24.599951613695993,2018,"","","","","","",null,null,24.599951613696,2018,"OECD",{"$f":"Z176","v":24.599951613695993},{"$f":"AA176","v":2018},"","",30.063563420311841,2014,19.933969798959009,2018,"","","","","","",0,0,null,null,19.933969798959001,2018,"OECD",19.933969798959009,2018]
["Uruguay","LAC","","",14.936109999999999,"2017","","","","",16.770186335403729,2018,"","",{"$f":"PS_Source_National_Budgets!C173","v":16.927333827628992},{"$f":"PS_Source_National_Budgets!D173","v":2018},"","","Nat Budg",{"$f":"O177","v":16.927333827628992},{"$f":"P177","v":2018},"","",19.112673479999998,2017,"","","","",12.456866804692892,2018,"","",{"$f":"PS_Source_National_Budgets!F173","v":12.458436298510614},{"$f":"PS_Source_National_Budgets!G173","v":2018},"","","Nat Budget",{"$f":"AH177","v":12.458436298510614},{"$f":"AI177","v":2018},"","",33.634064296938043,2015,"","","","",27.122153209109733,2018,"","",27.134382157120072,2018,null,null,"","","Nat Budget",{"$f":"BA177","v":27.134382157120072},{"$f":"BB177","v":2018}]
["Uzbekistan","ECA","","",23.030909999999999,"2017","","",21.827591760888463,2018,"","","","",{"$f":"PS_Source_National_Budgets!C174","v":26.51},{"$f":"PS_Source_National_Budgets!D174","v":2019},23.404371157264901,2017,"Nat Budg",{"$f":"O178","v":26.51},{"$f":"P178","v":2019},"","",10.565577709999999,2017,"","",9.3697841129962605,2018,"","","","",{"$f":"PS_Source_National_Budgets!F174","v":11.28},{"$f":"PS_Source_National_Budgets!G174","v":2019},9.8475093728677798,2017,"Nat Budget",{"$f":"AH178","v":11.28},{"$f":"AI178","v":2019},"","",26.59815026969795,2014,"","",25.543867853411527,2018,"","","","",0,0,null,null,28.374417358540502,2017,"AsDB",{"$f":"AU178","v":25.543867853411527},{"$f":"AV178","v":2018}]
["Vanuatu","EAP",16.48,2019,12.692080000000001,"2017","","",22.856950385664724,2018,"","","","",null,null,"","","GSW",{"$f":"C179","v":16.48},{"$f":"D179","v":2019},9.75,2019,6.8395699700000012,2017,"","",9.0875408400417665,2018,"","","","",null,null,"","","GSW",{"$f":"V179","v":9.75},{"$f":"W179","v":2019},"",null,2.3199999999999998,2010,"","",0.10104752601973796,2018,"","","","",0,0,null,null,"","","ILO",{"$f":"AQ179","v":2.3199999999999998},{"$f":"AR179","v":2010}]
["Venezuela, RB","LAC","","",null,null,"","","","",15.858668857847166,2014,"","",null,null,"","","Cepal",{"$f":"K180","v":15.858668857847166},{"$f":"L180","v":2014},"","",1.3712452899999998,2017,"","","","",8.8468912626677625,2014,"","",null,null,"","","Cepal",{"$f":"AD180","v":8.8468912626677625},{"$f":"AE180","v":2014},"","",18.006678108804053,2015,"","","","",23.856477677348675,2014,"","",0,0,null,null,"","","Cepal",{"$f":"AW180","v":23.856477677348675},{"$f":"AX180","v":2014}]
["Vietnam","EAP",17.010000000000002,2015,14.468299999999997,"2018","","","",null,"","","","",null,null,"","","UIS",{"$f":"E181","v":14.468299999999997},{"$f":"F181","v":"2018"},6.19,2015,11.022283349999999,2017,"","","",null,"","","","",null,null,"","","WHO",{"$f":"X181","v":11.022283349999999},{"$f":"Y181","v":2017},"",null,21.010491345162709,2015,"","","",null,"","","","",0,0,null,null,"","","ILO",{"$f":"AQ181","v":21.010491345162709},{"$f":"AR181","v":2015}]
["Yemen, Rep.","MENA",15.76,2013,12.489240000000001,"2008","","","","","","","","",null,null,"","","GSW",{"$f":"C182","v":15.76},{"$f":"D182","v":2013},5.12,2013,3.1729955999999997,2015,"","","","","","","","",null,null,"","","GSW",{"$f":"V182","v":5.12},2013,18.8,2013,26.395711754243646,2012,"","","","","","","","",0,0,null,null,"","","GSW",{"$f":"AO182","v":18.8},{"$f":"AP182","v":2013}]
["Zambia","SSA",15.29,2019,{"$f":"IFERROR(VLOOKUP(A183,UIS_Education_GOV,25,FALSE),\"\")","v":17.048010000000001},"2018","","","","","","","","",null,null,"","","GSW",15.29,2019,9.3000000000000007,2019,10.014248490000003,2017,"","","","","","","","",null,null,"","","GSW",9.3000000000000007,2019,2.52,2019,16.950613014775229,2011,"","","","","","","","",0,0,null,null,"","","ILO",{"$f":"AQ183","v":16.950613014775229},{"$f":"AR183","v":2011}]
["Zimbabwe","SSA",{"$f":"IFERROR(VLOOKUP(A184,GSW_EDU_2020,3,FALSE),\"\")","v":29.4},{"$f":"IFERROR(VLOOKUP(A184,GSW_EDU_2020,5,FALSE),\"\")","v":2019},{"$f":"IFERROR(VLOOKUP(A184,UIS_Education_GOV,25,FALSE),\"\")","v":19.039840000000002},"2018","","","","","","","","",null,null,"","","UIS",{"$f":"E184","v":19.039840000000002},{"$f":"F184","v":"2018"},13.5,2019,15.720450809999997,2017,"","","","","","","","",null,null,"","","GSW",{"$f":"V184","v":13.5},{"$f":"U184","v":"2018"},13.61,2019,14.064466019417473,2011,"","",{"$f":"IFERROR(VLOOKUP(A184,AsDB_GOV_2020,9,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A184,AsDB_GOV_2020,2,FALSE),\"\")","v":""},"","","","",0,0,null,null,"","","GSW",{"$f":"AO184","v":13.61},{"$f":"AP184","v":2019}]
[null,null,null,null,"UIS ","Checked","OECD","Checked","AsDB","Checked",null,null,"Eurostat","Checked",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"MM & JW to check",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"MM & JW to check"]
[null,null,null,null,null,"14.04.20",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(T5:T184)","v":2579.0827729668572},"Check total",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(AM5:AM184)","v":1936.7834860835808},"Check total",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(BH5:BH184)","v":3123.8322234981883},"Check total"]
["Not in the CRII"]
[]
["\n\n"]

{"sheet":"PS2b_source_Health","index":18,"n_rows":188,"n_cols":13,"rows_kept":188,"cut":false,"hidden":false,"merged":[[176,0,178,3],[0,1,0,8],[0,10,0,12],[1,10,1,12],[2,1,2,2],[2,3,2,4],[179,0,180,3],[181,0,181,3],[182,0,183,3],[184,0,184,3],[185,0,186,3]]}
["HEALTH COVERAGE INDICATORS","OUT OF POCKET INDICATOR CALCULATIONS",null,null,null,null,null,null,null,null,"UNIVERSAL HEALTH COVERAGE"]
["PS_Source_PSb2_Health",null,null,"Formula using OOP_GDP",null,"COOPi = 2.617*OOP/GDPi + 3.144, where i is an index for country i.",null,null,null,null,"UHC Service Coverage Index, 2017"]
["Country","COOP",null,"OOP_GDP",null,"Estimate\nThai formula","COOP with estimate","Score",null,null,"Country",null,2017]
["Afghanistan",14.63,2013,9.1076249977825903,2017,null,14.63,{"$f":"(G4-MIN_OOP_CRII3)/(OOP_MAX_CRII3-MIN_OOP_CRII3)","v":0.26722222222222225},null,null,"Afghanistan","high",37]
["Albania",16.72,2012,null,null,null,16.72,0.30592592592592593,null,null,"Albania","low",59]
["Algeria",null,null,2.08045891748881,2017,8.5890145730039773,8.5890145730039773,0.1553521217222959,null,null,"Algeria","medium",78]
["Angola",12.38,2008,0.95352973554350395,2017,null,12.38,0.22555555555555559,null,null,"Angola","low",40]
["Antigua and Barbuda",null,null,1.5324883051732201,2017,7.1548012259193623,7.1548012259193623,0.12879261529480301,null,null,"Antigua and Barbuda","low",73]
["Argentina",16.899999999999999,2004,1.3633347462551999,2017,6.7120725713991671,6.7120725713991671,0.12059393650739197,null,null,"Argentina","low",76]
["Armenia",16.05,2013,8.7835704656550799,2017,null,16.05,0.29351851851851857,null,null,"Armenia","medium",69]
["Australia",3.71,2010,1.79008730072583,2017,null,3.71,6.5000000000000002E-2,null,null,"Australia","high",87]
["Austria",4.3099999999999996,2004,1.9999679949604401,2017,8.3783442326338697,8.3783442326338697,0.15145081912284944,null,null,"Austria","medium",79]
["Azerbaijan",8.1199999999999992,2005,5.5769972898072098,2017,17.740567392563626,17.740567392563626,0.32482532208451159,null,null,"Azerbaijan","low",65]
["Bahamas, The",2.69,2013,1.72451469865415,2017,null,2.69,4.611111111111111E-2,null,null,"Bahamas, The","low",75]
["Bahrain",null,null,1.45213128283877,2017,6.944481344937004,6.944481344937004,0.12489780268401859,null,null,"Bahrain","low",77]
["Bangladesh",24.67,2016,1.7140159443171901,2017,null,24.67,0.45314814814814819,null,null,"Bangladesh","high",48]
["Barbados",16.37,2016,3.1446247982008999,2017,null,16.37,0.29944444444444446,null,null,"Barbados","medium",77]
["Belarus",9.16,2016,1.6355949656158599,2017,null,9.16,0.16592592592592595,null,null,"Belarus","medium",76]
["Belgium",11.45,2010,1.79788659643826,2017,null,11.45,0.20833333333333334,null,null,"Belgium","medium",84]
["Belize",null,null,1.3862562730405601,2017,6.7720654960419733,6.7720654960419733,0.12170491659336988,null,null,"Belize","medium",64]
["Benin",10.92,2011,1.6683641527142301,2017,null,10.92,0.19851851851851854,null,null,"Benin","medium",40]
["Bhutan",1.79,2017,0.39191464399616999,2017,null,1.79,2.9444444444444447E-2,null,null,"Bhutan","medium",62]
["Bolivia",6.02,2015,1.6484058149303999,2017,null,6.02,0.10777777777777776,null,null,"Bolivia","high",68]
["Botswana",1,2009,0.17668848060151399,2017,null,1,1.4814814814814815E-2,null,null,"Botswana","medium",61]
["Brazil",25.56,2008,2.5807895842110602,2017,null,25.56,0.46962962962962962,null,null,"Brazil","medium",79]
["Bulgaria",12.84,2010,3.7551771444612898,2017,null,12.84,0.23407407407407407,null,null,"Bulgaria","medium",66]
["Burkina Faso",3.13,2014,2.18949340982588,2017,null,3.13,5.4259259259259257E-2,null,null,"Burkina Faso","medium",40]
["Burundi",3.29,2013,2.0423066446039702,2017,null,3.29,5.7222222222222223E-2,null,null,"Burundi","medium",42]
["Cabo Verde",2.0499999999999998,2007,1.47077765001588,2017,6.9932848173842626,6.9932848173842626,0.12580157069230116,null,null,"Cabo Verde","low",69]
["Cambodia",15.27,2014,3.5802787597975199,2017,null,15.27,0.27907407407407409,null,null,"Cambodia","medium",60]
["Cameroon",10.78,2014,3.3847817370365898,2017,null,10.78,0.19592592592592592,null,null,"Cameroon","low",46]
["Canada",2.64,2010,1.5002059351305099,2017,null,2.64,4.5185185185185182E-2,null,null,"Canada","medium",89]
["Central African Republic",6.75,2008,1.6746134890452999,2017,null,6.75,0.12129629629629629,null,null,"Central African Republic","low",33]
["Chad",6.28,2003,2.59682396905401,2017,9.9405061170365041,9.9405061170365041,0.18037974290808342,null,null,"Chad","medium",28]
["Chile",9.19,2006,3.0819107420792502,2017,11.210132459637379,11.210132459637379,0.20389134184513666,null,null,"Chile","medium",70]
["China",17.71,2007,1.8143474652943099,2017,7.8925162791691719,7.8925162791691719,{"$f":"(G36-MIN_OOP_CRII3)/(OOP_MAX_CRII3-MIN_OOP_CRII3)","v":0.14245400516979947},null,null,"China","medium",79]
["Colombia",8.19,2016,1.17454045262347,2017,null,8.19,0.14796296296296296,null,null,"Colombia","high",76]
["Congo, Dem. Rep.",null,null,4.5794812669776599,null,15.129750750723435,15.129750750723435,0.27647686575413771,null,null,"Congo, Dem. Rep.","medium",41]
["Congo, Rep.",4.82,2012,5.1796347452836304,2017,null,4.82,8.5555555555555551E-2,null,null,"Congo, Rep.","low",39]
["Costa Rica",9.84,2012,1.5717946238179401,2017,null,9.84,0.17851851851851852,null,null,"Costa Rica","high",77]
["Cote d'Ivoire",12.43,2015,1.7630441929362299,2017,null,12.43,0.22648148148148148,null,null,"Cote d'Ivoire","medium",47]
["Croatia",2.8,2010,0.73808181348966495,2017,null,2.8,4.8148148148148141E-2,null,null,"Croatia","high",71]
["Cuba",null,0,1.2121187647509799,2017,6.3162922611205055,6.3162922611205055,0.11326467150223157,null,null,"Cyprus","medium",78]
["Cyprus",16.07,2010,2.9344298271826199,2017,null,16.07,0.29388888888888892,null,null,"Czech Republic","medium",76]
["Czech Republic",2.2200000000000002,2010,1.0724774713023599,2017,null,2.2200000000000002,3.740740740740741E-2,null,null,"Denmark","high",81]
["Denmark",2.93,2010,1.3945346305798401,2017,null,2.93,5.0555555555555555E-2,null,null,"Djibouti","medium",47]
["Djibouti",1.42,1996,0.63604713675194402,2017,4.8085296198693204,4.8085296198693204,8.5343141108691109E-2,null,null,"Dominican Republic","high",74]
["Dominican Republic",17.66,2007,2.5469955674410398,2017,9.8100893445836501,9.8100893445836501,0.17796461749228984,null,null,"Ecuador","high",77]
["Ecuador",18.37,2011,3.2847169885026699,2017,null,18.37,0.33648148148148149,null,null,"Egypt, Arab Rep.","high",68]
["Egypt, Arab Rep.",26.2,2012,2.6038961849108402,2017,null,26.2,0.48148148148148145,null,null,"El Salvador","high",76]
["El Salvador",1.69,2014,2.1135887841379501,2017,null,1.69,2.7592592592592592E-2,null,null,"Estonia","high",75]
["Estonia",12.76,2007,1.5132085911816699,2017,7.1043400834544297,7.1043400834544297,0.12785814969360054,null,null,"Eswatini","medium",63]
["Eswatini",13.39,2009,0.59674978022433101,2017,null,13.39,0.24425925925925929,null,null,"Ethiopia","high",39]
["Ethiopia",4.91,2015,1.1311946541547599,2017,null,4.91,8.7222222222222215E-2,null,null,"Fiji","low",64]
["Fiji",0.78,2008,0.481587432795689,2017,null,0.78,1.0740740740740742E-2,null,null,"Finland","high",78]
["Finland",6.35,2010,1.84169247005766,2017,null,6.35,0.11388888888888887,null,null,"France","high",78]
["France",1.42,2010,1.0625968956713701,2017,null,1.42,2.2592592592592591E-2,null,null,"Gambia, The","low",44]
["Gambia, The",0.2,2015,0.75425008519816905,2017,null,0.2,0,null,null,"Georgia","high",66]
["Georgia",29.21,2013,3.6832983030495901,2017,null,29.21,0.53722222222222227,null,null,"Germany","high",83]
["Germany",1.72,2010,1.44187300610395,2017,null,1.72,2.8148148148148148E-2,null,null,"Ghana","high",47]
["Ghana",1.1100000000000001,2012,1.3275413333544199,2017,null,1.1100000000000001,1.6851851851851854E-2,null,null,"Greece","low",75]
["Greece",16.89,2016,2.7908942172255702,2017,null,16.89,0.30907407407407411,null,null,"Guatemala","medium",55]
["Guatemala",1.36,2014,3.1475238598596502,2017,null,1.36,2.1481481481481483E-2,null,null,"Guinea","low",37]
["Guinea",6.97,2012,2.2340281758493199,2017,null,6.97,0.12537037037037035,null,null,"Guinea-Bissau","low",40]
["Guinea-Bissau",5.49,2002,5.1214217680792897,2017,16.548181379185799,16.548181379185799,0.30274409961455184,null,null,"Guyana","medium",72]
["Guyana",2.74,1993,1.63,2017,7.41002034,7.41002034,0.13351889518518517,null,null,"Haiti","medium",49]
["Haiti",11.54,2013,3.2757638490783001,2017,null,11.54,0.21,null,null,"Honduras","high",65]
["Honduras",1.1399999999999999,2004,3.8949127996565598,2017,13.3380173789715,13.3380173789715,{"$f":"(G68-MIN_OOP_CRII3)/(OOP_MAX_CRII3-MIN_OOP_CRII3)","v":0.24329661812910186},null,null,"Hong Kong","high",75]
["Hong Kong SAR, China",null,null,1.8,null,7.8549644000000001,7.8549644000000001,0.14175859999999998,null,null,"Hungary","high",74]
["Hungary",7.38,2010,1.82566230249836,2017,null,7.38,0.13296296296296295,null,null,"Iceland","high",84]
["Iceland",6.9,1995,1.40650693003544,2017,6.8250679051064997,6.8250679051064997,0.12268644268715739,null,null,"India","medium",55]
["India",17.329999999999998,2011,2.1824367738190702,2017,null,17.329999999999998,0.31722222222222218,null,null,"Indonesia","high",57]
["Indonesia",2.71,2018,1.03694828082767,2017,null,2.71,4.6481481481481478E-2,null,null,"Ireland","medium",76]
["Ireland",6.4,2010,0.877552422710979,2017,null,6.4,0.11481481481481481,null,null,"Israel","medium",82]
["Israel",6.72,2012,1.72588820117456,2017,null,6.72,0.12074074074074073,null,null,"Italy","high",82]
["Italy",9.2899999999999991,2010,2.0633861888607701,2017,null,9.2899999999999991,0.16833333333333333,null,null,"Jamaica","medium",65]
["Jamaica",10.199999999999999,2004,1.0441313175922,2017,5.8766156918977801,5.8766156918977801,0.10512251281292186,null,null,"Japan","high",83]
["Japan",4.3600000000000003,2015,1.39731779126594,2017,null,4.3600000000000003,7.7037037037037043E-2,null,null,"Jordan","medium",76]
["Jordan",1.72,2008,2.4900093649083801,2017,null,1.72,2.8148148148148148E-2,null,null,"Kazakhstan","medium",76]
["Kazakhstan",2.56,2015,1.0024347184303799,2017,null,2.56,4.3703703703703703E-2,null,null,"Kenya","high",55]
["Kenya",5.43,2015,1.1745722786498001,2017,null,5.43,9.6851851851851842E-2,null,null,"Kiribati","low",41]
["Kiribati",null,null,1.1833590899618499E-2,2017,3.1747642704662078,3.1747642704662078,5.5088227230855699E-2,null,null,"Korea, Rep.","high",86]
["Korea, Rep.",21.78,2015,2.5844521994467899,2017,null,21.78,0.39962962962962967,null,null,"Kyrgyz Republic","medium",70]
["Kyrgyz Republic",3.67,2010,3.5756956630479899,2017,null,3.67,6.4259259259259252E-2,null,null,"Lao PDR","medium",51]
["Lao PDR",2.98,2007,1.1837074440702899,2017,6.2419308000991629,6.2419308000991629,0.11188760740924375,null,null,"Latvia","high",71]
["Latvia",15.46,2009,2.5124156048617698,2017,null,15.46,0.28259259259259262,null,null,"Lebanon","medium",73]
["Lebanon",44.8,1999,3.0489875291814101,2017,11.12396194190203,11.12396194190203,0.20229559151670426,null,null,"Lesotho","low",48]
["Lesotho",4.51,2010,0.67816714735032901,2017,null,4.51,7.9814814814814811E-2,null,null,"Liberia","medium",39]
["Liberia",14.1,2019,3.68628766005371,2017,null,14.1,0.25740740740740742,null,null,"Lithuania","medium",73]
["Lithuania",9.7899999999999991,2010,2.0662122960424401,2017,null,9.7899999999999991,0.17759259259259258,null,null,"Luxembourg","high",83]
["Luxembourg",3.38,2010,5.7575343589436001E-2,2017,null,3.38,5.8888888888888886E-2,null,null,"Madagascar","low",28]
["Madagascar",1.64,2010,1.18187147604081,2017,null,1.64,2.6666666666666665E-2,null,null,"Malawi","medium",46]
["Malawi",4.21,2016,0.95773078118894295,2017,null,4.21,7.4259259259259261E-2,null,null,"Malaysia","medium",73]
["Malaysia",0.74,2004,1.25071805555238,2017,6.4173188797222442,6.4173188797222442,0.11513553480967119,null,null,"Maldives","low",62]
["Maldives",19.86,2009,2.17912815151894,2017,null,19.86,0.36407407407407405,null,null,"Mali","medium",38]
["Mali",6.48,2016,1.32982959616994,2017,null,6.48,0.1162962962962963,null,null,"Malta","low",82]
["Malta",15.93,2010,3.2934924359887301,2017,null,15.93,0.29129629629629633,null,null,"Mauritania","medium",41]
["Mauritania",11.66,2014,2.1113637109260899,2017,null,11.66,0.21222222222222223,null,null,"Mauritius","medium",63]
["Mauritius",6.52,2006,2.7949426934519499,2017,10.4590458205403,10.4590458205403,0.18998233001000558,null,null,"Mexico","high",76]
["Mexico",1.55,2016,2.2010125327924199,2017,null,1.55,{"$f":"(G100-MIN_OOP_CRII3)/(OOP_MAX_CRII3-MIN_OOP_CRII3)","v":2.5000000000000001E-2},null,null,"Moldova","medium",69]
["Moldova",18.68,2016,3.0620314446816601,2017,null,18.68,0.34222222222222221,null,null,"Mongolia","high",62]
["Mongolia",2.36,2014,1.3036912491768999,2017,null,2.36,3.9999999999999994E-2,null,null,"Morocco","medium",70]
["Morocco",22,2006,2.86014030942914,2017,10.629688714394458,10.629688714394458,0.19314238359989738,null,null,"Mozambique","low",46]
["Mozambique",1.61,2014,0.33771814356657098,2017,null,1.61,2.6111111111111113E-2,null,null,"Myanmar","high",61]
["Myanmar",14.36,2015,3.5046335892565299,2017,null,14.36,0.26222222222222225,null,null,"Namibia","medium",62]
["Namibia",1.22,2009,0.61265974675605706,2017,null,1.22,1.8888888888888889E-2,null,null,"Nepal","high",48]
["Nepal",10.71,2014,3.0385166211077599,2017,null,10.71,0.19462962962962965,null,null,"Netherlands","high",86]
["Netherlands",1.2,2007,1.1214668393164999,2017,6.0790273449461836,6.0790273449461836,0.10887087675826265,null,null,"New Zealand","high",87]
["New Zealand",2.2999999999999998,2007,1.26492661361933,2017,6.4545071945049175,6.4545071945049175,0.11582420730564662,null,null,"Niger","medium",37]
["Nicaragua",14.82,2014,2.8879947152974399,2017,null,14.82,0.27074074074074078,null,null,"Nigeria","high",42]
["Niger",6.63,2011,3.7234766892509299,2017,null,6.63,0.11907407407407407,null,null,"North Macedonia","medium",72]
["Nigeria",14.51,2003,2.90000998796961,2017,10.734040341692644,10.734040341692644,0.19507482114245639,null,null,"Norway","high",87]
["North Macedonia",5.44,2008,1.9341321332038901,2017,null,5.44,9.7037037037037047E-2,null,null,"Occupied Palestinian Territory",null,60]
["Norway",5.09,1998,1.3772352022590699,2017,6.7484544851063042,6.7484544851063042,0.12126767565011674,null,null,"Oman","high",69]
["Occupied Palestinian Territory",8.1999999999999993,2011,null,null,null,8.1999999999999993,0.14814814814814814,null,null,"Pakistan","high",45]
["Oman",0.63,1999,0.25993039026959902,2017,3.8241124891996465,3.8241124891996465,6.7113194244437901E-2,null,null,"Panama","medium",79]
["Pakistan",4.47,2015,1.83355160257261,2017,null,4.47,7.9074074074074061E-2,null,null,"Papua New Guinea","low",40]
["Panama",9.25,1997,2.4400698249420101,2017,9.530230674077572,9.530230674077572,0.17278204951995504,null,null,"Paraguay","high",69]
["Papua New Guinea",0.23,2015,0.20518717175512299,2017,null,0.23,5.5555555555555556E-4,null,null,"Peru","high",77]
["Paraguay",7.1,2014,2.96380753268412,2017,null,7.1,0.12777777777777777,null,null,"Philippines","high",61]
["Peru",9.2100000000000009,2018,1.39700225952227,2017,null,9.2100000000000009,0.16685185185185189,null,null,"Poland","medium",75]
["Philippines",6.31,2015,2.3641823091873899,2017,null,6.31,0.11314814814814814,null,null,"Portugal","high",82]
["Poland",14.11,2016,1.5084103521819701,2017,null,14.11,0.2575925925925926,null,null,"Romania","high",74]
["Portugal",18.38,2010,2.4504966021558201,2017,null,18.38,0.33666666666666667,null,null,"Russian Federation","medium",74]
["Romania",13.42,2016,1.05230783086781,2017,null,13.42,0.24481481481481482,null,null,"Rwanda","high",57]
["Russian Federation",4.87,2014,2.2067457899562899,2017,null,4.87,8.6481481481481479E-2,null,null,"Samoa","low",58]
["Rwanda",1.1499999999999999,2016,0.402967120892194,2017,null,1.1499999999999999,1.759259259259259E-2,null,null,"Sao Tome and Principe","low",55]
["Samoa",null,null,0.64882209560218496,2017,4.8419657496173194,4.8419657496173194,8.5962328696617019E-2,null,null,"Senegal","high",45]
["Sao Tome and Principe",10.199999999999999,2000,0.91053864389585204,2017,5.5269611823642038,5.5269611823642038,9.8647429303040809E-2,null,null,"Serbia","high",65]
["Senegal",3.33,2011,2.1084595924952398,2017,null,3.33,5.7962962962962959E-2,null,null,"Seychelles","low",71]
["Serbia",8.0500000000000007,2015,3.5116693663409699,2017,null,8.0500000000000007,0.14537037037037037,null,null,"Sierra Leone","medium",39]
["Seychelles",3.48,2013,1.24169383736635,2017,null,3.48,{"$f":"(G132-MIN_OOP_CRII3)/(OOP_MAX_CRII3-MIN_OOP_CRII3)","v":6.0740740740740734E-2},null,null,"Singapore","medium",86]
["Sierra Leone",54.2,2011,6.7033099388537103,2017,null,54.2,1,null,null,"Slovak Republic","high",77]
["Singapore",9.01,2012,1.39518819421611,2017,null,9.01,0.16314814814814815,null,null,"Slovenia","medium",79]
["Slovak Republic",3.77,2010,1.26763423412391,2017,null,3.77,6.6111111111111107E-2,null,null,"Solomon Islands","low",47]
["Slovenia",2.9,2012,1.00984750881781,2017,null,2.9,4.9999999999999996E-2,null,null,"South Africa","high",69]
["Solomon Islands",0.1,2006,0.26546789296728002,2017,3.8386058946853354,3.8386058946853354,6.7381590642321021E-2,null,null,"South Sudan","low",31]
["South Africa",1.41,2010,0.63229544385837699,2017,null,1.41,2.2407407407407407E-2,null,null,"Spain","high",83]
["South Sudan",8.7200000000000006,2009,null,2017,null,8.7200000000000006,0.15777777777777779,null,null,"Sri Lanka","medium",66]
["Spain",5.73,2010,2.1019585738645401,2017,null,5.73,0.10240740740740741,null,null,"St. Lucia","low",68]
["Sri Lanka",5.42,2016,1.93333078380774,2017,null,5.42,9.6666666666666665E-2,null,null,"St. Vincent and the Grenadines","low",71]
["St. Lucia",null,null,2.0508146288590399,2017,8.5114260427760851,8.5114260427760851,0.15391529708844603,null,null,"Sweden","high",86]
["St. Vincent and the Grenadines",null,null,1.38618232811008,2017,6.771871958644418,6.771871958644418,0.12170133256748922,null,null,"Switzerland","medium",83]
["Sweden",5.56,1996,1.65154370027661,2017,7.4664070545205767,7.4664070545205767,0.1345630936022329,null,null,"Tajikistan","low",68]
["Switzerland",19.7,2004,3.5823933722021399,2017,12.52005465614536,12.52005465614536,0.22814916029898816,null,null,"Tanzania","medium",43]
["Tajikistan",17.73,2009,4.5363852722212297,2017,null,17.73,0.32462962962962966,null,null,"Thailand","medium",80]
["Tanzania",3.79,2011,0.23469690644388999,2017,null,3.79,6.6481481481481475E-2,null,null,"Timor-Leste","medium",52]
["Thailand",2.2200000000000002,2017,0.41859426151138901,2017,null,2.2200000000000002,3.740740740740741E-2,null,null,"Togo","medium",43]
["Timor-Leste",2.93,2014,0.34703461766473698,2017,null,2.93,5.0555555555555555E-2,null,null,"Trinidad and Tobago","low",74]
["Togo",10.65,2006,3.5590882121216301,2017,12.459057641173761,12.459057641173761,0.22701958594766225,null,null,"Tunisia","medium",70]
["Tonga",null,null,0.55961124648763105,2017,4.6084725884345135,4.6084725884345135,8.1638381267305798E-2,null,null,"Turkey","medium",74]
["Trinidad and Tobago",3.88,2014,2.75359962393751,2017,null,3.88,6.8148148148148138E-2,null,null,"Uganda","high",45]
["Tunisia",18.600000000000001,null,2.8149078502434102,2017,null,18.600000000000001,0.34074074074074079,null,null,"Ukraine","medium",68]
["Turkey",3.63,2013,0.735229948984777,2017,null,3.63,6.3518518518518516E-2,null,null,"United Kingdom","high",87]
["Uganda",15.27,2016,2.3773890486376099,2017,null,15.27,0.27907407407407409,null,null,"United States","high",84]
["Ukraine",7.76,2014,3.5148153013991599,2017,null,7.76,0.13999999999999999,null,null,"Uruguay","high",80]
["United Kingdom",1.63,2013,1.5255207613596966E-2,2017,null,1.63,2.6481481481481481E-2,null,null,"Uzbekistan","medium",73]
["United States",4.7699999999999996,2013,1.8795075663565499,2017,null,4.7699999999999996,8.4629629629629624E-2,null,null,"Vanuatu","low",48]
["Uruguay",4.54,2005,1.69922061714879,2017,7.5911927072346366,7.5911927072346366,0.13687393902286363,null,null,"Vietnam","medium",75]
["Uzbekistan",6.66,2003,2.8908504508505999,2017,10.71006692031939,10.71006692031939,0.19463086889480352,null,null,"Yemen, Rep.","medium",42]
["Vanuatu",null,null,0.30717089486660898,2017,3.9477559122104831,3.9477559122104831,6.940288726315709E-2,null,null,"Zambia","medium",53]
["Venezuela, RB",null,null,1.27,2014,6.4677858600000002,6.4677858600000002,0.11607010851851852,null,null,"Zimbabwe","medium",54]
["Vietnam",9.39,2016,2.4789851471578399,2017,null,9.39,0.17018518518518522]
["Yemen, Rep.",15.83,2014,6.0529651829764202,2017,null,15.83,{"$f":"(G164-MIN_OOP_CRII3)/(OOP_MAX_CRII3-MIN_OOP_CRII3)","v":0.28944444444444445}]
["Zambia",0.28999999999999998,2010,0.52252139855563295,2017,null,0.28999999999999998,1.6666666666666661E-3]
["Zimbabwe",2.09,2007,1.4178700870838099,2017,6.8548089005860202,6.8548089005860202,0.12323720186270408]
[]
["MAX",null,null,null,null,null,{"$f":"MAX(G4:G166)","v":54.2}]
["MIN",null,null,null,null,null,{"$f":"MIN(G4:G166)","v":0.2}]
[]
[]
["Formula Column J",null,null,null,null,null,null,null,null,null,"Source for UHC:"]
["COOPi = 2.617*OOP/GDPi + 3.144, where i is an index for country i.",null,null,null,null,null,null,null,null,null,"Average coverage of essential Health Services"]
[null,null,null,null,null,null,null,null,null,null,"UHC Service Coverage Index, 2017"]
["Source for COOP","https://applications.emro.who.int/docs/EMROPUB_2018_EN_20620.pdf?ua=1",null,null,null,null,null,null,null,null,"http://apps.who.int/gho/portal/uhc-overview.jsp"]
["Source notes for individual countries "]
["Source Hong Kong OOP. Data for OOP as % GDP is taken from the following \"Universal Health Coverage AssessmentHong Kong Global Network for Health Equity (GNHE) July 2015. Cheuk Nam Wong and Keith YK Tin\". See http://gnhe.org/blog/wp-content/uploads/2015/05/GNHE-UHC-assessment_Hong-Kong-1.pdf"]
[]
[null,null,null,null,null,null,null,null,null,null,"Source Hong Kong UHC"]
["Source New Zealand, Norway and Netherlands. Out-of-pocket expenditure as a share of final household consumption, 2007 (or nearest available year)See: https://www.oecd-ilibrary.org/docserver/health_glance-2009-62-en.pdf?expires=1587310954&id=id&accname=guest&checksum=8A9BE42A64E3D1858AE5A89726FC9DF1",null,null,null,null,null,null,null,null,null,"UHC data was taken from the following source: Chen et al (2019) Current situation and progress toward the 2030 health-related Sustainable Development Goals in China: A systematic analysis. "]
[null,null,null,null,null,null,null,null,null,null,"See https://doi.org/10.1371/journal.pmed.1002975 (Table 2 page 10)"]
["Source OPT. Found alterntive CHE. See study https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(18)30343-X/fulltext"]
["Source Liberia. https://www.researchgate.net/publication/337884206_Households_forgoing_healthcare_as_a_measure_of_financial_risk_protection_an_application_to_Liberia"]
[]
["Source Solomon Islands. http://documents.worldbank.org/curated/en/239171468307523515/pdf/698070ESW0P1120ancing0Options0final.pdf"]
["Source PNG. http://documents.shihang.org/curated/zh/130771468182954230/pdf/96547-BRI-P153469-PUBLIC-Box391458B-ADD-SERIES-PNG-Health-Equity-KnowledgeBrief-Final-May-2015.pdf"]
[]
["Source OPT. https://applications.emro.who.int/docs/EMROPUB_2018_EN_20620.pdf?ua=1"]

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["  ",null,"Education - % GDP ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health - % GDP",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Social Protection - % GDP"]
["Country Name","Region","GSW","Year ","UIS","Year ","OECD","Year ","AsDB","Year ","CEPAL","Year","Eurostat","Year","National\nBudget","Year ","IMF","Year ","Selected\nsource","% GDP","Year","GSW","Year ","WHO","Year ","OECD","Year ","AsDB","Year ","CEPAL","Year","Eurostat","Year","National\nBudget","Year ","IMF","Year ","Selected\nsource","% GDP","Year","GSW","Year ","ILO","Year ","OECD","Year ","AsDB","Year ","CEPAL","Year","Eurostat","Year","National\nBudget","Year ","Oxfam Office","Year ","IMF","Year ","Selected\nsource","%GDP","Year","Missing","If Gov Expenditure source changes, this has to change as well","WEO GOV",100,null,"%Gov Exp",null,"GDP"]
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["South Africa","SSA",{"$f":"IFERROR(VLOOKUP(A147,GSW_EDU_2020,4,FALSE),\"\")","v":6.56},{"$f":"IFERROR(VLOOKUP(A147,GSW_EDU_2020,5,FALSE),\"\")","v":2019},{"$f":"IFERROR(VLOOKUP(A147,UIS_Education_GDP,25,FALSE),\"\")","v":6.1589900000000002},{"$f":"IFERROR(VLOOKUP(A147,UIS_Education_GDP,24,FALSE),\"\")","v":2018},"","",{"$f":"IFERROR(VLOOKUP(A147,AsDB_GDP_2020,4,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,AsDB_GDP_2020,5,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,CepalGDP,4,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,CepalGDP,2,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,Eurostat_Edu_GDP_2019,8,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,Eurostat_Edu_GDP_2019,9,FALSE),\"\")","v":""},null,null,{"$f":"IFERROR(VLOOKUP(A147,IMF_COFOG_GDP_EDU_CRII3,5,FALSE),\"\")","v":5.6666226905750197},{"$f":"IFERROR(VLOOKUP(A147,IMF_COFOG_GDP_EDU_CRII3,6,FALSE),\"\")","v":2018},"GSW",6.56,2019,{"$f":"IFERROR(VLOOKUP(A147,GSW_HE_2020,4,FALSE),\"\")","v":3.91},{"$f":"IFERROR(VLOOKUP(A147,GSW_HE_2020,5,FALSE),\"\")","v":2019},{"$f":"IFERROR(VLOOKUP(A147,WHO_GDP_2020,9,FALSE),\"\")","v":3.4711562000000002},{"$f":"IFERROR(VLOOKUP(A147,WHO_GDP_2020,8,FALSE),\"\")","v":"2017"},"","",{"$f":"IFERROR(VLOOKUP(A147,AsDB_GDP_2020,6,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,AsDB_GDP_2020,7,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,CepalGDP,5,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,CepalGDP,2,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,Eurostat_Health_GDP_2019,8,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,Eurostat_Health_GDP_2019,9,FALSE),\"\")","v":""},null,null,{"$f":"IFERROR(VLOOKUP(A147,IMF_COFOG_GDP_HE_CRII3,5,FALSE),\"\")","v":4.3634267101759203},{"$f":"IFERROR(VLOOKUP(A147,IMF_COFOG_GDP_HE_CRII3,6,FALSE),\"\")","v":2018},"GSW",3.91,2019,{"$f":"IFERROR(VLOOKUP(A147,GSW_SP_2020,4,FALSE),\"\")","v":3.71},{"$f":"IFERROR(VLOOKUP(A147,GSW_SP_2020,5,FALSE),\"\")","v":2019},{"$f":"IFERROR(VLOOKUP(A147,ILO_GDP_2020CRII,3,FALSE),\"\")","v":5.84},{"$f":"IFERROR(VLOOKUP(A147,ILO_GDP_2020CRII,4,FALSE),\"\")","v":2014},"",{"$f":"IFERROR(VLOOKUP(A147,OECD_SP_GDP,7,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,AsDB_GDP_2020,8,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,AsDB_GDP_2020,9,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,CepalGDP,6,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,CepalGDP,2,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,Eurostat_SP_GDP_2019,8,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A147,Eurostat_SP_GDP_2019,9,FALSE),\"\")","v":""},null,null,null,null,null,null,"GSW",3.71,2019]
["South Sudan","SSA",0.94,2019,0.98103999999999991,2017,"","","","","","","","",null,null,"","","GSW",0.94,2019,0.22,2019,1.3509584800000001,"2017","","","","","","","","",null,null,"","","GSW",0.22,2019,0.02,2019,0,0,"","","","","","","","",null,null,null,null,null,null,"GSW",0.02,2019]
["Spain","ECA","","",4.2091099999999999,2016,3.9805569717475215,2018,"","","","",4,2018,null,null,3.9529964047116199,2018,"OECD",{"$f":"G149","v":3.9805569717475215},{"$f":"H149","v":2018},"","",6.2658672299999996,"2017",5.9604485171918347,2018,"","","","",6,2018,null,null,5.8526064185498301,2018,"OECD",{"$f":"Z149","v":5.9604485171918347},{"$f":"AA149","v":2018},"","",19.670000000000002,2014,16.810787189384961,2018,"","","","",16.899999999999999,2018,null,null,null,null,null,null,"OECD",{"$f":"AS149","v":16.810787189384961},{"$f":"AT149","v":2018}]
["Sri Lanka","SA",1.87,2019,2.1118899999999998,2018,"","",1.9186236211808743,2017,"","","","",null,null,"","","GSW",{"$f":"C150","v":1.87},{"$f":"D150","v":2019},1.48,2019,1.6879384199999996,"2017","","",1.466805475669219,2017,"","","","",null,null,"","","GSW",{"$f":"V150","v":1.48},{"$f":"W150","v":2019},1.77,2019,5.61,2014,"","",2.0455227557074829,2017,"","","","",null,null,null,null,null,null,"GSW",{"$f":"AO150","v":1.77},{"$f":"AP150","v":2019}]
["St. Lucia","LAC","","",3.6795899999999997,2018,"","","","",0,0,"","",null,null,"","","UIS",{"$f":"E151","v":3.6795899999999997},2018,"","",2.23277357,"2017","","","","",0,0,"","",null,null,"","","WHO",{"$f":"X151","v":2.23277357},{"$f":"Y151","v":"2017"},"","",1.93,2010,"","","","",0,0,"","",null,null,null,null,null,null,"ILO",{"$f":"AQ151","v":1.93},{"$f":"AR151","v":2010}]
["St. Vincent and the Grenadines","LAC","","",5.6812199999999997,2018,"","","","",0,0,"","",null,null,"","","UIS",5.6812199999999997,2018,"","",3.6830625000000001,"2017","","","","",0,0,"","",null,null,"","","WHO",3.6830625000000001,"2017","","",4.3899999999999997,2010,"","","","",0,0,"","",null,null,null,null,null,null,"ILO",4.3899999999999997,2010]
["Sudan","SSA","","",2.21868,"2009","","","","","","","","",null,null,"","","UIS",2.21868,"2009","","",1.16426053,"2017","","","","","","","","",null,null,"","","WHO",1.16426053,"2017","","",0.24738000000000002,2010,"","","","","","","","",null,null,null,null,null,null,null,null,null,"No CRI"]
["Suriname",null,"","",0,0,null,null,null,null,null,null,"","",null,null,"","",null,null,null,"","",4.1468313099999996,"2017","","","","","","","","",null,null,"","","WHO",4.1468313099999996,"2017","","","","",null,"",null,null,null,null,"","",null,null,null,null,null,null,null,null,null,"No CRI"]
["Sweden","ECA","","",7.669929999999999,2016,{"$f":"IFERROR(VLOOKUP(A155,OECD_EDUCATION_GDP_2019,2,FALSE),\"\")","v":6.8865243649134653},{"$f":"IFERROR(VLOOKUP(A155,OECD_EDUCATION_GDP_2019,7,FALSE),\"\")","v":2018},{"$f":"IFERROR(VLOOKUP(A155,AsDB_GDP_2020,4,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A155,AsDB_GDP_2020,5,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A155,CepalGDP,4,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A155,CepalGDP,2,FALSE),\"\")","v":""},6.9,2018,null,null,6.8865243649134698,2018,"OECD",{"$f":"G155","v":6.8865243649134653},{"$f":"H155","v":2018},"","",9.7828202099999988,"2017",6.9932548174555489,2018,"","","","",7,2018,null,null,6.9932548174555498,2018,"OECD",{"$f":"Z155","v":6.9932548174555489},{"$f":"AA155","v":2018},"","",17.11,2014,{"$f":"IFERROR(VLOOKUP(A155,OECD_SP_GDP,2,FALSE),\"\")","v":19.540568743596999},2018,{"$f":"IFERROR(VLOOKUP(A155,AsDB_GDP_2020,8,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A155,AsDB_GDP_2020,9,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A155,CepalGDP,6,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A155,CepalGDP,2,FALSE),\"\")","v":""},19.5,2018,null,null,null,null,null,null,"OECD",{"$f":"AS155","v":19.540568743596999},{"$f":"AT155","v":2018}]
["Switzerland","ECA","","",5.1133199999999999,2016,5.5670992157300407,2018,"","","","",5.6,2018,null,null,5.0554221486854596,2018,"OECD",5.5670992157300407,2018,"","",7.8522630099999988,"2017",2.1710349145796526,2018,"","","","",2.2000000000000002,2018,null,null,2.1697246442382601,2018,"OECD",2.1710349145796526,2018,"","",11.58,2014,13.293362765801714,2018,"","","","",13.3,2018,null,null,null,null,null,null,"OECD",13.293362765801714,2018]
["Syrian Arab Republic","MENA","","",5.1301399999999999,"2009","","","","","","","","",null,null,"","","UIS",{"$f":"E157","v":5.1301399999999999},{"$f":"F157","v":"2009"},"","",1.6190699099999997,"2012","","","","","","","","",null,null,"","","WHO",{"$f":"X157","v":1.6190699099999997},{"$f":"Y157","v":"2012"},"","",0.41,2010,"","","","","","","","",null,null,null,null,null,null,null,null,null,"No CRI"]
["Tajikistan","ECA",5.67,2019,5.2313900000000002,"2015","","",5.6,2018,"","","","",null,null,"","","GSW",{"$f":"C158","v":5.67},{"$f":"D158","v":2019},2.2400000000000002,2019,2.4012571,"2017","","",2.2000000000000002,2018,"","","","",null,null,"","","GSW",{"$f":"V158","v":2.2400000000000002},{"$f":"W158","v":2019},4.7300000000000004,2019,0,0,"","",4.5,2018,"","","","",null,null,null,null,null,null,"GSW",{"$f":"AO158","v":4.7300000000000004},{"$f":"AP158","v":2019}]
["Tanzania","SSA",3.16,2019,3.6964399999999999,2018,"","","","","","","","",null,null,"","","GSW",{"$f":"C159","v":3.16},{"$f":"D159","v":2019},1.21,2019,2.5484456100000004,"2017","","","","","","","","",null,null,"","","GSW",1.21,2019,"",0,4.7300000000000004,2010,"","","","","","","","",null,null,null,null,null,null,"ILO",{"$f":"AQ159","v":4.7300000000000004},{"$f":"AR159","v":2010}]
["Thailand","EAP","","",4.1240199999999998,"2013","","",3.0657771419847482,2018,"","","","",null,null,3.0659150603459402,2018,"AsDB",{"$f":"I160","v":3.0657771419847482},{"$f":"J160","v":2018},"","",2.9606283799999993,"2017","","",1.2513548393883422,2018,"","","","",null,null,1.23978360537466,2018,"WHO",{"$f":"X160","v":2.9606283799999993},{"$f":"Y160","v":"2017"},"","",0,0,"","",3.0033396380117106,2018,"","","","",null,null,null,null,null,null,"AsDB",{"$f":"AU160","v":3.0033396380117106},{"$f":"AV160","v":2018}]
["Timor-Leste","EAP",4.3099999999999996,2019,4.1284400000000003,2018,"","",3.7596052882004836,2017,"","","","",null,null,"","","GSW",{"$f":"C161","v":4.3099999999999996},2019,2.5499999999999998,2019,3.3634135300000003,"2017","","",2.20405456689888,2017,"","","","",null,null,"","","GSW",{"$f":"V161","v":2.5499999999999998},{"$f":"W161","v":2019},5.44,2019,0,0,"","",6.1828826555757432,2017,"","","","",null,null,null,null,null,null,"GSW",{"$f":"AO161","v":5.44},{"$f":"AP161","v":2019}]
["Togo","SSA",4.58,2019,5.4288499999999997,2018,"","","","","","","","",null,null,"","","GSW",4.58,2019,1.92,2019,1.74078749,"2017","","","","","","","","",null,null,"","","GSW",1.92,2019,1.98,2018,0.45,2014,"","","","","","","","",null,null,null,null,null,null,"GSW",1.98,2018]
["Tonga","EAP",5.83,2019,3.9080400000000002,"2004","","",0,0,"","","","",null,null,"","","GSW",5.83,2019,3.66,2019,4.0711099599999994,"2017","","",0,0,"","","","",null,null,"","","GSW",3.66,2019,0.56000000000000005,2019,1.0343819999999999,2010,"","",0,0,"","","","",null,null,null,null,null,null,"GSW",0.56000000000000005,2019]
["Trinidad and Tobago","LAC","","",3.1366000000000001,"2003","","","","",3.56,2018,"","",null,null,"","","Cepal",{"$f":"K164","v":3.56},{"$f":"L164","v":2018},"","",3.7051099700000001,"2017","","","","",3.13,2018,"","",null,null,"","","Cepal",{"$f":"AD164","v":3.13},{"$f":"AE164","v":2018},"","",5.94,2010,"","","","",5.39,2018,"","",null,null,null,null,null,null,"CEPAL",{"$f":"AW164","v":5.39},{"$f":"AX164","v":2018}]
["Tunisia","MENA","","",6.5992100000000002,"2015","","","","","","","","",{"$f":"IFERROR(VLOOKUP(A165,WEO_GOV,13,FALSE),\"\")/100*PS1_source_selection!T169","v":5.1510688},{"$f":"PS1_source_selection!U169","v":2019},"","","Nat Budget",{"$f":"O165","v":5.1510688},{"$f":"P165","v":2019},"","",4.1601655100000006,"2017","","","","","","","","",{"$f":"VLOOKUP(A165,WEO_GOV,13,FALSE)/100*PS1_source_selection!AM169","v":1.4700671999999999},{"$f":"PS1_source_selection!AN169","v":2019},"","","Nat Budget",{"$f":"AH165","v":1.4700671999999999},{"$f":"AI165","v":2019},"","",8.91,2011,"","","","","","","","",{"$f":"IFERROR(VLOOKUP(A165,WEO_GOV,13,FALSE),\"\")/100*PS1_source_selection!BA169","v":0},null,null,null,null,null,"ILO",{"$f":"AQ165","v":8.91},{"$f":"AR165","v":2011}]
["Turkey","ECA","","",2.7506300000000001,"2006","","","","","","","","",null,null,3.71256493217339,2018,"IMF",{"$f":"Q166","v":3.71256493217339},{"$f":"R166","v":2018},"","",3.2765104100000002,"2017","","","","","","","","",null,null,5.1349739716912204,2018,"WHO",{"$f":"X166","v":3.2765104100000002},{"$f":"Y166","v":"2017"},"","",9.31,2014,"","","","","","","","",null,null,null,null,null,null,"IMF",9.8800000000000008,2018,null,"WEO_GOV  34.611/100 * % GovExp 28.55 = 9.88"]
["Turkmenistan","Centr Asia","","",3.0492499999999998,"2012","","",0,0,"","","","",null,null,"","","UIS",{"$f":"E167","v":3.0492499999999998},{"$f":"F167","v":"2012"},"","",1.5449904899999998,"2017","","",0,0,"","","","",null,null,"","","GSW",{"$f":"V167","v":""},{"$f":"W167","v":""},"","","","","","",0,0,"","","","",null,null,null,null,null,null,null,null,null,"No CRI"]
["Tuvalu","EAP","","",0,0,"","",20.401463537268963,2016,"","","","",null,null,"","","AsDB",{"$f":"I168","v":20.401463537268963},{"$f":"J168","v":2016},"","",17.053040249999999,"2017","","",9.6226934347442938,2016,"","","","",null,null,"","","WHO",{"$f":"X168","v":17.053040249999999},{"$f":"Y168","v":"2017"},"","",0,0,"","",9.0831909897801175,2016,"","","","",null,null,null,null,null,null,"AsDB",{"$f":"AU168","v":9.0831909897801175},{"$f":"AV168","v":2016},"No CRI"]
["Uganda","SSA",2.36,2019,2.5207600000000001,2018,"","","","","","","","",null,null,"","","GSW",{"$f":"C169","v":2.36},{"$f":"D169","v":2019},1.99,2019,1.2238753999999998,"2017","","","","","","","","",null,null,"","","GSW",{"$f":"V169","v":1.99},{"$f":"W169","v":2019},2.1,2019,1.150055,2011,"","","","","","","","",null,null,null,null,null,null,"GSW",{"$f":"AO169","v":2.1},{"$f":"AP169","v":2019}]
["Ukraine","ECA","","",5.4122599999999998,2017,"","","","","","","","",null,null,6.1983879646896796,2018,"UIS",{"$f":"E170","v":5.4122599999999998},{"$f":"F170","v":2017},"","",3.1227387900000005,"2017",{"$f":"IFERROR(VLOOKUP(A170,OECD_HEALTH_GDP_2019,2,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A170,OECD_HEALTH_GDP_2019,7,FALSE),\"\")","v":""},"","","","","","",null,null,3.4437003620491198,2018,"WHO",{"$f":"X170","v":3.1227387900000005},{"$f":"Y170","v":"2017"},"","",18.2,2016,"","","","","","","","",null,null,null,null,null,null,"ILO",{"$f":"AQ170","v":18.2},{"$f":"AR170","v":2016}]
["United Kingdom","ECA","","",5.4869700000000003,2016,4.9010163741828494,2018,"","","","",4.8,2018,null,null,4.9010163741828503,2018,"OECD",{"$f":"G171","v":4.9010163741828494},{"$f":"H171","v":2018},"","",7.5899101700000005,"2017",7.597590620874108,2018,"","","","",7.5,2018,null,null,7.5975906208741097,2018,"OECD",{"$f":"Z171","v":7.597590620874108},{"$f":"AA171","v":2018},"","",14,2014,15.13747778275167,2018,"","","","",14.9,2018,null,null,null,null,null,null,"OECD",{"$f":"AS171","v":15.13747778275167},{"$f":"AT171","v":2018}]
["United States","NA","","",4.9617399999999998,2014,5.9455931030964155,2018,"","","","","","",null,null,5.94559310309642,2018,"OECD",5.9455931030964155,2018,"","",15.021374739999999,"2017",9.3061684945518159,2018,"","","","","","",null,null,9.3061684945518195,2018,"OECD",9.3061684945518159,2018,"","",10.68,2014,7.5410262844231735,2018,"","","","","","",null,null,null,null,null,null,"OECD",7.5410262844231735,2018]
["Uruguay","LAC","","",4.8403,2017,"","","","",4.8600000000000003,2018,"","",{"$f":"PS_Source_National_Budgets!R173","v":5.6212290174790356},{"$f":"PS_Source_National_Budgets!S173","v":2018},"","","Nat Budget",{"$f":"O173","v":5.6212290174790356},{"$f":"P173","v":2018},"","",6.1728757900000009,"2017","","","","",3.61,2018,"","",{"$f":"PS_Source_National_Budgets!U173","v":4.1371975260094045},{"$f":"PS_Source_National_Budgets!V173","v":2018},"","","Nat Budget",{"$f":"AH173","v":4.1371975260094045},{"$f":"AI173","v":2018},"","",10.88,2015,"","","","",7.86,2018,"","",{"$f":"PS_Source_National_Budgets!X173","v":9.0107856267364337},{"$f":"PS_Source_National_Budgets!Y173","v":2018},null,null,null,null,"Nat Budget",{"$f":"BA173","v":9.0107856267364337},{"$f":"BB173","v":2018},null,null,{"$f":"'PS_Source_WEO GOV EXP'!S191/100*PS1_source_selection!BH177","v":9.0574567640466803}]
["Uzbekistan","ECA","","",5.2813400000000001,2017,"","",5.3800925632456433,2018,"","","","",5.4,{"$f":"PS1_source_selection!U178","v":2019},6.34796898758092,2017,"Nat Budget",{"$f":"O174","v":5.4},{"$f":"P174","v":2019},"","",2.8853403800000001,"2017","","",2.3094762985202757,2018,"","","","",{"$f":"VLOOKUP(A174,WEO_GOV,13,FALSE)/100*PS1_source_selection!AM178","v":2.7603287999999999},{"$f":"PS1_source_selection!AN178","v":2019},2.6709405556693699,2017,"Nat Budget",{"$f":"AH174","v":2.7603287999999999},{"$f":"AI174","v":2019},"","",8.51,2014,"","",6.2960850184544146,2018,"","","","",{"$f":"IFERROR(VLOOKUP(A174,WEO_GOV,13,FALSE),\"\")/100*PS1_source_selection!BA178","v":0},{"$f":"PS1_source_selection!BB178","v":0},null,null,null,null,"AsDB",{"$f":"AU174","v":6.2960850184544146},{"$f":"AV174","v":2018}]
["Vanuatu","EAP",6.14,2019,4.6953699999999996,2017,"","",5.5906117766953258,2017,"","","","",null,null,"","","GSW",{"$f":"C175","v":6.14},{"$f":"D175","v":2019},3.63,2019,2.6315408900000001,"2017","","",2.1165519783237818,2017,"","","","",null,null,"","","GSW",{"$f":"V175","v":3.63},{"$f":"W175","v":2019},"",0,0.62686220000000004,2010,"","",2.4714971640070232E-2,2017,"","","","",null,null,null,null,null,null,"ILO",{"$f":"AQ175","v":0.62686220000000004},{"$f":"AR175","v":2010}]
["Venezuela, RB","LAC",{"$f":"IFERROR(VLOOKUP(A176,GSW_EDU_2020,4,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,GSW_EDU_2020,5,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,UIS_Education_GDP,25,FALSE),\"\")","v":6.8746700000000001},{"$f":"IFERROR(VLOOKUP(A176,UIS_Education_GDP,24,FALSE),\"\")","v":"2009"},"","","","",5.79,2014,{"$f":"IFERROR(VLOOKUP(A176,Eurostat_Edu_GDP_2019,8,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,Eurostat_Edu_GDP_2019,9,FALSE),\"\")","v":""},null,null,{"$f":"IFERROR(VLOOKUP(A176,IMF_COFOG_GDP_EDU_CRII3,5,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,IMF_COFOG_GDP_EDU_CRII3,6,FALSE),\"\")","v":""},"Cepal",{"$f":"K176","v":5.79},{"$f":"L176","v":2014},{"$f":"IFERROR(VLOOKUP(A176,GSW_HE_2020,4,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,GSW_HE_2020,5,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,WHO_GDP_2020,9,FALSE),\"\")","v":0.77406620999999998},{"$f":"IFERROR(VLOOKUP(A176,WHO_GDP_2020,8,FALSE),\"\")","v":"2016"},"","",{"$f":"IFERROR(VLOOKUP(A176,AsDB_GDP_2020,6,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,AsDB_GDP_2020,7,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,CepalGDP,5,FALSE),\"\")","v":3.23},{"$f":"IFERROR(VLOOKUP(A176,CepalGDP,2,FALSE),\"\")","v":2014},{"$f":"IFERROR(VLOOKUP(A176,Eurostat_Health_GDP_2019,8,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,Eurostat_Health_GDP_2019,9,FALSE),\"\")","v":""},null,null,{"$f":"IFERROR(VLOOKUP(A176,IMF_COFOG_GDP_HE_CRII3,5,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,IMF_COFOG_GDP_HE_CRII3,6,FALSE),\"\")","v":""},"Cepal",{"$f":"AD176","v":3.23},{"$f":"AE176","v":2014},{"$f":"IFERROR(VLOOKUP(A176,GSW_SP_2020,4,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,GSW_SP_2020,5,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,ILO_GDP_2020CRII,3,FALSE),\"\")","v":8.68},{"$f":"IFERROR(VLOOKUP(A176,ILO_GDP_2020CRII,4,FALSE),\"\")","v":2015},"",{"$f":"IFERROR(VLOOKUP(A176,OECD_SP_GDP,7,FALSE),\"\")","v":""},"","",8.7100000000000009,2014,{"$f":"IFERROR(VLOOKUP(A176,Eurostat_SP_GDP_2019,8,FALSE),\"\")","v":""},{"$f":"IFERROR(VLOOKUP(A176,Eurostat_SP_GDP_2019,9,FALSE),\"\")","v":""},null,null,null,null,null,null,"CEPAL",{"$f":"AW176","v":8.7100000000000009},{"$f":"AX176","v":2014}]
["Vietnam","EAP",4.3899999999999997,2015,4.1727699999999999,2018,"","",0,0,"","","","",null,null,"","","UIS",{"$f":"E177","v":4.1727699999999999},{"$f":"F177","v":2018},1.6,2015,2.7874959800000001,"2017","","",0,0,"","","","",null,null,"","","WHO",{"$f":"X177","v":2.7874959800000001},{"$f":"Y177","v":"2017"},"",0,6.3,2015,"","",0,0,"","","","",null,null,null,null,null,null,"ILO",{"$f":"AQ177","v":6.3},{"$f":"AR177","v":2015}]
["Yemen, Rep.","MENA",4.92,2013,5.1514300000000004,"2008","","","","","","","","",null,null,"","","GSW",{"$f":"C178","v":4.92},2013,1.6,2013,0.61386803000000001,"2015","","","","","","","","",null,null,"","","GSW",{"$f":"V178","v":1.6},{"$f":"W178","v":2013},5.87,2013,9.56,2012,"","","","","","","","",null,null,null,null,null,null,"GSW",{"$f":"AO178","v":5.87},{"$f":"AP178","v":2013}]
["Zambia","SSA",4.2300000000000004,2019,4.6673799999999996,2018,"","","","","","","","",null,null,"","","GSW",4.2300000000000004,2019,2.57,2019,2.52235012,"2017","","","","","","","","",null,null,"","","GSW",2.57,2019,0.7,2019,3.31,2011,"","","","","","","","",null,null,null,null,null,null,"ILO",{"$f":"AQ179","v":3.31},{"$f":"AR179","v":2011}]
["Zimbabwe","SSA",1.55,2019,4.6044900000000002,2018,"","","","","","","","",null,null,"","","UIS",{"$f":"E180","v":4.6044900000000002},{"$f":"F180","v":2018},0.71,2019,3.5344945400000007,"2017","","","","","","","","",null,null,"","","GSW",0.71,2019,0.72,2019,3.48,2011,"","","","","","","","",null,null,null,null,null,null,"GSW",0.72,2019]
[null,null,null,null,null,null,null,null,null,null,"MM and Jo to check calculation",null,null,null,null,null,null,null,null,null,null,null,null,"WHO","Checked","OECD","Checked","AsDB","checked",null,null,"Eurostat","Checked 09.09",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"MM and Jo to check calculation"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(T4:T180)","v":831.67110548712662},"Check total",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(AM4:AM180)","v":640.71528517433933},"Check total",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(BH4:BH180)","v":1123.6968775877208},"Check total"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Checked  06/02/20"]

{"sheet":"PS_Source_AsDB All","index":20,"n_rows":98,"n_cols":26,"rows_kept":98,"cut":false,"hidden":false,"merged":[[5,12,5,20],[5,2,5,10]]}
["Asian Development Bank (AsDB)",null,null,2019,"https://www.adb.org/publications/key-indicators-asia-and-pacific-2019",null,null,null,null,null,null,null,null,2019,"https://www.adb.org/publications/key-indicators-asia-and-pacific-2019"]
[]
["online information only",null,null,2019,"https://kidb.adb.org/kidb/sdbsCountryView",null,"The data online doesn't match the  2019 Report",null,null,null,null,null,null,null,"Hong kong"]
[null,null,null,null,"Only Fiji and Malaysia data were taken from AsDB online database",null,null,null,null,null,null,null,null,null,"HongKong data for 2017 is different in 2018 and 2019 reports for that year (Last year with data))"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Myanmar 2018 Exp   2017 GDP"]
[null,null,"% Total Government Expenditure",null,null,null,null,null,null,null,null,null,"% of GDP (currrent market prices)"]
["Countries","Year","Note","Education\nTotal","Health\nTotal","Social Security and Welfare\nTotal","Education\n% of total","Health\n% of total","Social Sec & Welfare\n% of total",null,"Total Expenditure by Function % GDP",null,"Countries","Year","Note","Education\n% GDP","Year","Health\n% GDP","Year","Social Protection\n% GDP","Year"]
["Afghanistan",2018,"General Government",46624.247540179,24467.272660889001,31283.599231159002,{"$f":"D8/K8*100","v":12.022591028482319},{"$f":"E8/K8*100","v":6.3091637571360053},{"$f":"F8/K8*100","v":8.0668308723063333},null,387805.31941678002,null,"Afghanistan",{"$f":"B8","v":2018},{"$f":"C8","v":"General Government"},3.2186563071176502,2018,1.6890726525950299,2018,2.1596306490080903,2018]
["Armenia",2018,"Central Government",148.95855894800002,79.773193639900001,418.66222412809998,{"$f":"D9/K9*100","v":10.059622754427044},{"$f":"E9/K9*100","v":5.3873254387040204},{"$f":"F9/K9*100","v":28.273528328964918},null,1480.7569089253,null,"Armenia",{"$f":"B9","v":2018},{"$f":"C9","v":"Central Government"},2.4805515028738858,2018,1.3284333358889566,2018,6.9718263696416187,2018]
["Australia",2018,"General Government",99617,129628,178134,{"$f":"D10/K10*100","v":15.393756393654403},{"$f":"E10/K10*100","v":20.031338564669014},{"$f":"F10/K10*100","v":27.526942202909481},null,647126,null,"Australia",{"$f":"B10","v":2018},"General Government",5.3912742288573403,2018,7.0154702082809051,2018,9.6406159940900924,2018]
["Azerbaijan",2018,"General Government",1966.6,709.9,2150.6999999999998,{"$f":"D11/K11*100","v":8.6513927748156743},{"$f":"E11/K11*100","v":3.122965387390241},{"$f":"F11/K11*100","v":9.4612785725597845},null,22731.599999999999,null,"Azerbaijan",2018,"General Government",2.46,2018,0.89,2018,2.7,2018]
["Bangladesh",2017,"Central Government",490.02,66.209999999999994,162.08000000000001,18.190524979397285,2.4578479631155754,6.0167345999361501,null,2693.82,null,"Bangladesh",2017,"Central Government",2.5051442827527857,2017,0.33848741471993371,2017,0.82860655758657098,2017]
["Bhutan",2018,"Central Government",10852.523860000001,4864.1375629999993,3235.460039000001,18.331628172332454,8.2162971797411277,5.4652034095033324,null,59201.090912259999,null,"Bhutan",2018,"Central Government",6.2186410479579868,2018,2.7872157575874814,2018,1.853961794243238,2018]
["Brunei Darussalam",2012,"Central Government",720.32,346.87,147.58000000000001,16.599109116006186,7.9932987825814426,3.4008447958410049,null,4339.51,null,"Brunei Darussalam",2012,"Central Government",3.0262600000000002,2012,1.4573,2012,0.62002000000000002,2012]
["Cambodia",2018,"Central Government",2488.2782099999999,1214.10654,897.69777999999997,17.650553172208738,8.6122411693652126,6.3678017734454793,null,14097.451709999999,null,"Cambodia",2018,"Central Government",2.4996700000000001,2018,1.21966,2018,0.90181,2018]
["China",2018,"Central Government",3222.2349999999997,1569.9739999999999,2708.4070000000002,14.586448439375161,7.1069753764575143,12.260446261164306,null,22090.607,null,"China",2018,"Central Government",3.5790323100180053,2018,1.7438168451054028,2018,3.0083082586089889,2018]
["Cook Islands",2017,"Central Government",12890,12936,17895,8.8137354785331876,8.8451886850508377,12.235981100725475,null,146249,null,"Cook Islands",2017,"Central Government",2.6594685051721698,2017,2.6500115206918102,2017,3.6789725494786611,2017]
["Fiji",2016,"Central Government",319200,190300,11200,27.928952664275091,16.650625601539943,0.97996325137807339,null,1142900,null,"Fiji",2016,"Central Government","No data","No data","No data","No data","No data","No data"]
["Georgia",2018,"General Government",1570.3679,1218.0256000000002,2917.0407,12.929627434029065,10.028616359968714,24.017460787946156,null,12145.5,null,"Georgia",2018,"General Government",3.8229433678897715,2018,2.9651923536134182,2018,7.1013177217450369,2018]
["Hong Kong SAR, China",2017,"General Government",92500,77000,74800,17.836482838411108,14.847666795217895,14.423447743925955,null,518600,null,"Hong Kong SAR, China",2017,"General Government",3.4741366488740799,2017,2.8919840212249102,2017,2.8093559063327702,2017]
["India",2016,"Central Government",7039.52,1940.85,2763.45,17.897036211427224,4.9343510254887448,7.0257012862338,null,39333.439999999995,null,"India",2016,"Central Government",4.6149549047997809,2016,1.2723786887430755,2016,1.8116572055579008,2016]
["Indonesia",2017,"General Government",364.082723991119,189.22715608806001,162.27495513614801,16.262433357079921,8.4521835628402382,7.2483132802783388,null,2238.7961014002499,null,"Indonesia",2017,"General Government",2.679285323141992,2017,1.3925229312968035,2017,1.194181643236695,2017]
["Japan",2017,"General Government",13870.7,40135.300000000003,14056.2,12.895191647089341,37.312636371158256,13.067645672519568,null,107564.9,null,"Japan",2017,"General Government",2.5445134381869452,2017,7.3626284322827615,2017,2.5785425241583582,2017]
["Kazakhstan",2017,"General Government",1784.1857592250001,1387.6210643429999,2493.7860407296098,14.341882473017748,11.154162686813272,20.045887107927527,null,12440.387533377831,null,"Kazakhstan",2017,"General Government",3.3599674033198199,2017,2.613159263404071,2017,4.6962821916845137,2017]
["Kiribati",2017,"General Government",26544.99165,27038.756950000003,3261.9274399999995,12.54888413087075,12.782306827673317,1.5420441651511254,null,211532.68588000006,null,"Kiribati",2017,"General Government",10.962869742004601,2017,11.166790871021865,2017,1.3471500049460563,2017]
["Korea, Rep.",2017,"Central Government",58193,4445,99238,15.754279479883804,1.2033710633252026,26.866172684424399,null,369379,null,"Korea, Rep.",2017,"Central Government",3.1700744708471147,2017,0.24214219962736794,2017,5.4060084604321119,2017]
["Kyrgyz Republic",2017,"General Government",37387.9,17680.95,51920.65,19.676293891612211,9.3050309988766671,27.324507887405701,null,190014.95,null,"Kyrgyz Republic",2017,"General Government",7.17675070533436,2017,3.3939261200410198,2017,9.9663677689551502,2017]
["Lao PDR",null,"No data available",null,null,null,null,null,null,null,null,null,"Lao PDR",0,"No data available"]
["Malaysia",2017,"Central Government",60532,25523,12278,{"$f":"D29/K29*100","v":23.284080840474473},{"$f":"E29/K29*100","v":9.8176104422690482},{"$f":"F29/K29*100","v":4.7228233753939337},null,259971.61071000001,null,"Malaysia",2017,"Central Government",4.4131099999999996,2017,1.8607800000000001,2017,"No data","No data"]
["Maldives",2015,"Central Government",2980.9720400000001,2213.6856600000001,3312.4706700000002,{"$f":"D30/K30*100","v":13.90320622347731},{"$f":"E30/K30*100","v":10.324594740222546},{"$f":"F30/K30*100","v":15.44931056590187},null,21440.896380909999,null,"Maldives",2015,"Central Government",4.7207125568618231,2015,3.5056262024205207,2015,5.2456788176065876,2015]
["Marshall Islands",2017,"Central Government",32256,25010.9,7478.8,25.016732887278113,19.397662592089045,5.8003206199583204,null,128937.70000000001,null,"Marshall Islands",2017,"Central Government",15.526367140814381,2017,12.038951386476763,2017,3.5999068257912459,2017]
["Micronesia",null,"No data available",null,null,null,{"$error":"#DIV/0!"},{"$error":"#DIV/0!"},{"$error":"#DIV/0!"},null,null,null,"Micronesia",0,"No data available"]
["Mongolia",2018,"General Government",894395.9498204703,788602.24017015018,2365472.5429252102,11.777479391497774,10.384379125998084,31.148736900080575,null,7594120.2704726402,null,"Mongolia",2018,"General Government",2.7805660762627369,2018,2.4516665545299774,2018,7.3539607469253907,2018]
["Myanmar",2018,"General Government",2182.55807,1088.0408,843.15635799999995,13.961240524224758,6.9599061384744392,5.393445826423009,null,15632.980938999999,null,"Myanmar",2017,"General Government",0.80023999999999995,2017,1.8381700000000001,2017,0.76875000000000004,2017,"Exp 2018 GDP 2017"]
["Nauru",null,"No data available",null,null,null,null,null,null,null,null,null,"Nauru",0,"No data available"]
["Nepal",2017,"Central Government",108.59005191214999,45.341185450220003,38.30685068871,{"$f":"D36/K36*100","v":13.079307118793531},{"$f":"E36/K36*100","v":5.4611935365254833},{"$f":"F36/K36*100","v":4.6139315350612371},null,830.24315375329002,null,"Nepal",2017,"Central Government",4.1092198230822996,2017,1.7157823831305099,2017,1.4495919970389901,2017]
["New Zealand",2018,"General Government",16504,19040,30614,{"$f":"D37/K37*100","v":15.779560382824526},{"$f":"E37/K37*100","v":18.204243194921169},{"$f":"F37/K37*100","v":29.270204893346463},null,104591,null,"New Zealand",2018,"General Government",5.7139296076001083,2018,6.5919304246671135,2018,10.599020904451631,2018]
["Pakistan",null,"No data available",null,null,null,{"$f":"D38/K38","v":{"$error":"#DIV/0!"}},{"$f":"E38/K38","v":{"$error":"#DIV/0!"}},{"$f":"F38/K38","v":{"$error":"#DIV/0!"}},null,null,null,"Pakistan",0,"No data available"]
["Palau",null,"No data available",null,null,null,{"$error":"#DIV/0!"},{"$error":"#DIV/0!"},{"$error":"#DIV/0!"},null,null,null,"Palau",0,"No data available"]
["Papua New Guinea",null,"No data available",null,null,null,{"$error":"#DIV/0!"},{"$error":"#DIV/0!"},{"$error":"#DIV/0!"},null,null,null,"Papua New Guinea",0,"No data available"]
["Philippines",2018,"Central Government",705.77666599999998,172.75085000000001,458.73877800000002,{"$f":"D41/K41*100","v":18.735775577382533},{"$f":"E41/K41*100","v":4.5858999203610304},{"$f":"F41/K41*100","v":12.177827926732149},null,3767,null,"Philippines",2018,"Central Government",4.0500888676382356,2018,0.99132817527866901,2018,2.6324656331607423,2018]
["Samoa",2018,"Central Government",95.55716953000001,80.440323360000008,25.658926689999998,{"$f":"D42/K42*100","v":14.840189241268748},{"$f":"E42/K42*100","v":12.492517590911644},{"$f":"F42/K42*100","v":3.9848744963913481},null,643.90802554098991,null,"Samoa",2018,"Central Government",4.5380020359118038,2018,3.820104268183464,2018,1.2185402951054918,2018]
["Singapore",2018,"General Government",13068.4,10196.4,4665.8999999999996,{"$f":"D43/K43*100","v":17.263962370258383},{"$f":"E43/K43*100","v":13.469917198134629},{"$f":"F43/K43*100","v":6.1638702536950651},null,75697.570000000007,null,"Singapore",2018,"General Government",2.1819600000000001,2018,2.7965399999999998,2018,0.99846999999999997,2018]
["Solomon Islands",null,"No data available",null,null,null,{"$error":"#DIV/0!"},{"$error":"#DIV/0!"},{"$error":"#DIV/0!"},null,null,null,"Solomon Islands",0,"No data available"]
["Sri Lanka",2017,"Central Government",257446.4239398425,196820.16845701099,274474.11401113891,{"$f":"D45/K45*100","v":10.03284654589544},{"$f":"E45/K45*100","v":7.6702038313334731},{"$f":"F45/K45*100","v":10.696426171131577},null,2566035.6984645296,null,"Sri Lanka",2017,"Central Government",1.9186236211808743,2017,1.466805475669219,2017,2.0455227557074829,2017]
["Taipei, China",2017,"Central Government",262.60000000000002,24.8,591.1,{"$f":"D46/K46*100","v":13.397275649201573},{"$f":"E46/K46*100","v":1.2652415693076884},{"$f":"F46/K46*100","v":30.156624662007044},null,1960.1,null,"Taipei, China",2017,"Central Government",1.5,2017,0.1,2017,3.4,2017,null,null,null,null," "]
["Tajikistan",2018,"General Government",3826.5,1551.5,3111.6,{"$f":"D47/K47*100","v":15.90035528038063},{"$f":"E47/K47*100","v":6.4469884274168416},{"$f":"F47/K47*100","v":12.929712659200931},null,24065.5,null,"Tajikistan",2018,"General Government",5.6,2018,2.2000000000000002,2018,4.5,2018]
["Thailand",2018,"General Government",500.27452573552807,204.19649563848668,490.08595323283146,{"$f":"D48/K48*100","v":14.487085627268451},{"$f":"E48/K48*100","v":5.9131775953484684},{"$f":"F48/K48*100","v":14.192042176776571},null,3453.2447630038282,null,"Thailand",2018,"General Government",3.0657771419847482,2018,1.2513548393883422,2018,3.0033396380117106,2018]
["Timor-Leste",2018,"Central Government",74.171000000000006,52.786000000000001,135.32,{"$f":"D49/K49*100","v":7.4561028741345989},{"$f":"E49/K49*100","v":5.3063575563774101},{"$f":"F49/K49*100","v":13.60315812012638},null,994.76900000000001,null,"Timor-Leste",2017,"Central Government",3.7596052882004836,2017,2.20405456689888,2017,6.1828826555757432,2017,"Exp 2018 GDP 2017"]
["Tonga",null,"No data available",null,null,null,{"$f":"D50/K50*100","v":{"$error":"#DIV/0!"}},{"$f":"E50/K50*100","v":{"$error":"#DIV/0!"}},{"$f":"F50/K50*100","v":{"$error":"#DIV/0!"}},null,null,null,"Tonga",0,"No data available"]
["Turkmenistan",null,"No data available",null,null,null,{"$error":"#DIV/0!"},{"$error":"#DIV/0!"},{"$error":"#DIV/0!"},null,null,null,"Turkmenistan",0,"No data available"]
["Tuvalu",2016,"Central Government",10853,5119,4832,15.263986948327753,7.1995161880115885,6.7958707209361204,null,71102,null,"Tuvalu",2016,"Central Government",20.401463537268963,2016,9.6226934347442938,2016,9.0831909897801175,2016]
["Uzbekistan",2018,"General Government",21924.655699999999,9411.4501,25657.4575,21.827591760888463,9.3697841129962605,25.543867853411527,null,100444.68459999999,null,"Uzbekistan",2018,"General Government",5.3800925632456433,2018,2.3094762985202757,2018,6.2960850184544146,2018]
["Vanuatu",2018,"Central Government",6786,2698,30,{"$f":"D54/K54*100","v":22.856950385664724},{"$f":"E54/K54*100","v":9.0875408400417665},{"$f":"F54/K54*100","v":0.10104752601973796},null,29689,null,"Vanuatu",2017,"Central Government",5.5906117766953258,2017,2.1165519783237818,2017,2.4714971640070232E-2,2017,"Exp 2018 GDP 2017"]
["Vietnam",null,"No data available",null,null,null,{"$error":"#DIV/0!"},{"$error":"#DIV/0!"},{"$error":"#DIV/0!"},null,null,null,"Vietnam",0,"No data available"]
[]
["No disaggregated data available on the Country Report by AsDB"]
[]
[]
["Source:","AsDB","https://www.adb.org/publications/key-indicators-asia-and-pacific-2019"]
[null,null,"Look at individual countries at the bottom of the page"]
[]
[]
[]
[]
["AsDB","THIS IS AFDB ONLINE DATABASE USED AS THE PUBLISHED REPORT DID NOT HAVE SOME OF THE DATA"]
["https://kidb.adb.org/kidb/onlineQuery"]
[]
[]
["Indicator","Country","Unit of Measure","2015","2016","2017","2018","2019"]
["Central Government Expenditure - Total by function","Fiji","Fijian Dollar",1117500000,1142900000,"...","...","...","Central Government Expenditure - Total by function"]
["Central Government Expenditure - Education","Fiji","Fijian Dollar",298900000,319200000,"...","...","...","Central Government Expenditure - Education"]
["Central Government Expenditure - Health","Fiji","Fijian Dollar",194200000,190300000,"...","...","...","Central Government Expenditure - Health"]
["Central Government Expenditure - Social protection","Fiji","Fijian Dollar",9900000,11200000,"...","...","...","Central Government Expenditure - Social protection"]
["Expenditure on health (% of GDP)","Fiji","percent","...","...","...","...","..."]
["Expenditure on education (% of GDP)","Fiji","percent","...","...","...","...","..."]
["Expenditure on social protection (% of GDP)","Fiji","percent","...","...","...","...","..."]
[]
[]
[]
[]
[]
["Indicator","Country","Unit of Measure","2015","2016","2017","2018","2019"]
["Central Government Expenditure - Total by function","Malaysia","Malaysian Ringgit",257765240170,252167699030,262579000000,"...","..."]
["Central Government Expenditure - Education","Malaysia","Malaysian Ringgit",56817671360,55614122390,60532000000,"...","..."]
["Central Government Expenditure - Health","Malaysia","Malaysian Ringgit",23365899630,23127326460,25523000000,"...","..."]
["Central Government Expenditure - Social protection","Malaysia","Malaysian Ringgit",11719244580,10684298870,12278000000,"...","...","Central Government Expenditure - Social protection"]
["Expenditure on health (% of GDP)","Malaysia","percent",1.98532,1.85063,1.8607800000000001,"...","..."]
["Expenditure on education (% of GDP)","Malaysia","percent",4.8275100000000002,4.4502300000000004,4.4131099999999996,"...","..."]
["Expenditure on social protection (% of GDP)","Malaysia","percent","...","...","...","...","..."]
[]
[]
[]
["Downloaded from Asian Development Bank's Key Indicators Database on 04-Feb-2020."]
["Notes"]
["... = data not available at cutoff date"]
["I = marks break in series"]
["0.0 = magnitude is less than half of unit employed"]

{"sheet":"PS_Source_CEPAL CRI3","index":21,"n_rows":43,"n_cols":14,"rows_kept":43,"cut":false,"hidden":false,"merged":[[2,2,2,7],[2,8,2,13]]}
["CEPAL",null,"SOURCE","Cepal file: Information taken from the file sent by Rodrigo Martinez on 17 December 2019.",null,null,null,null,null,null,"MH calculations using GDP as per MM instructions"]
[]
[null,null,"% GDP",null,null,null,null,null,"% Total Government Expenditure"]
["Countries","Year","Note","Education\n%GDP","Health\n%GDP","Social Protection\n%GDP","Gasto Publico Social\nCentral Gov TOTAL\n% GDP","Gasto Publico Social\nGeneral Gov TOTAL\n% GST","Countries","Year","Note","Education\n% Total Gov Exp","Health\n% Total Gov Exp","Social Protection\n% Total Gov Exp"]
[1,2,3,4,5,6,null,null,1,2,3,4,5,6]
["Argentina",2018,"Central Government",1.31,0.82,10.98,22.65,null,"Argentina",2018,"Central Government",{"$f":"D6/G6*100","v":5.7836644591611481},{"$f":"E6/G6*100","v":3.6203090507726272},{"$f":"F6/G6*100","v":48.476821192052981}]
["Bahamas, The",2018,"Central Government",2.5299999999999998,2.5099999999999998,1.77,19.71,null,"Bahamas, The",2018,"Central Government",{"$f":"D7/G7*100","v":12.836123795027904},{"$f":"E7/G7*100","v":12.734652460679857},{"$f":"F7/G7*100","v":8.9802130898021311}]
["Barbados",2018,"Central Government",5.81,3.31,4.13,29.35,null,"Barbados",2018,"Central Government",19.795570698466776,11.277683134582624,14.071550255536625]
["Belize",null,null,null,null,null,null,null,"Belize"]
["Bolivia",2017,"Central Government",5.4,1.87,4.5,34.32,null,"Bolivia",2017,"Central Government",15.734265734265735,5.4487179487179489,13.111888111888112]
["Brazil",2018,"Central Government",2.37,2.1,13.05,30.09,null,"Brazil",2018,"Central Government",7.8763708873379867,6.9790628115653046,43.369890329012961]
["Chile",2018,"Central Government",5.2,4.91,5.74,23.63,null,"Chile",2018,"Central Government",22.005924672027085,20.778671180702499,24.291155311045284]
["Colombia",2018,"Central Government",3.33,3.03,5.54,19.760000000000002,null,"Colombia",2018,"Central Government",16.852226720647774,15.334008097165992,28.036437246963558]
["Costa Rica",2018,"Central Government",7.02,0.87,3.9,20.16,null,"Costa Rica",2018,"Central Government",34.821428571428569,4.3154761904761907,19.345238095238095]
["Cuba",2018,"Central Government",1.74,0.78,6.39,21.93,null,"Cuba",2018,"Central Government",7.9343365253077973,3.5567715458276332,29.138166894664842]
["Dominican Republic",2018,"Central Government",4.13,1.71,1.53,17.03,null,"Dominican Republic",2018,"Central Government",24.251321197886082,10.041103934233703,8.9841456253669989]
["Ecuador",2018,"Central Government",4.54,2.74,1.4,22.19,null,"Ecuador",2018,"Central Government",20.459666516448848,12.347904461469131,6.309148264984227]
["El Salvador",2018,"Central Government",3.78,2.35,1.89,20.93,null,"El Salvador",2018,"Central Government",18.060200668896321,11.227902532250358,9.0301003344481607]
["Guatemala",2018,"Central Government",2.98,1.08,1.28,12.32,null,"Guatemala",2018,"Central Government",24.188311688311686,8.7662337662337659,10.38961038961039]
["Guyana",2017,"Central Government",5.09,3.93,2.3199999999999998,32.630000000000003,null,"Guyana",2017,"Central Government",15.59914189396261,12.044131167637143,7.1100214526509333]
["Haiti",2014,"Central Government",2.96,0.84,0.56999999999999995,14.84,null,"Haiti",2014,"Central Government",19.946091644204852,5.6603773584905666,3.8409703504043122]
["Honduras",2018,"Central Government",4.9400000000000004,2.39,0.44,21.45,null,"Honduras",2018,"Central Government",23.030303030303035,11.142191142191143,2.0512820512820511]
["Jamaica",2018,"Central Government",5.17,3.65,0.67,29.62,null,"Jamaica",2018,"Central Government",17.454422687373395,12.322754895340985,2.2619851451721811]
["Mexico",2018,"Central Government",3.13,1.03,3.45,18.760000000000002,null,"Mexico",2018,"Central Government",16.684434968017055,5.4904051172707886,18.390191897654585]
["Nicaragua",2018,"Central Government",4.4400000000000004,3.46,0.36,19.399999999999999,null,"Nicaragua",2018,"Central Government",22.886597938144334,17.835051546391753,1.8556701030927836]
["Panama",2017,"Central Government",3.32,1.73,1.33,17.329999999999998,null,"Panama",2017,"Central Government",19.157530294287366,9.9826889786497404,7.6745527986151192]
["Paraguay",2018,"Central Government",3.1,1.79,3.53,14.94,null,"Paraguay",2018,"Central Government",20.749665327978583,11.981258366800535,23.627844712182061]
["Peru",2018,"Central Government",3.76,2.48,2.68,21.52,null,"Peru",2018,"Central Government",17.472118959107807,11.524163568773234,12.453531598513013]
["St. Lucia",null,null,null,null,null,null,null,"St. Lucia"]
["St. Vincent and the Grenadines",null,null,null,null,null,null,null,"St. Vincent and the Grenadines"]
["Trinidad and Tobago",2018,"Central Government",3.56,3.13,5.39,29.76,null,"Trinidad and Tobago",2018,"Central Government",{"$f":"D31/G31*100","v":11.962365591397848},{"$f":"E31/G31*100","v":10.517473118279568},{"$f":"F31/G31*100","v":18.111559139784944}]
["Uruguay",2018,"Central Government",4.8600000000000003,3.61,7.86,28.98,null,"Uruguay",2018,"Central Government",16.770186335403729,12.456866804692892,27.122153209109733]
["Venezuela, RB",2014,"Central Government",5.79,3.23,8.7100000000000009,36.51,null,"Venezuela, RB",2014,"Central Government",15.858668857847166,8.8468912626677625,23.856477677348675]
[]
[]
[]
[]
[]
[]
[]
[]
["Source:","Cepal","http://observatoriosocial.cepal.org/inversion/es",null,null,"Look at individual countries"]
[null,null,"Go over the graphs to see the percentages for total GDP and total Gov Expenditure, and Sectors"]

{"sheet":"PS_Source_Eurostat","index":22,"n_rows":47,"n_cols":65,"rows_kept":47,"cut":false,"hidden":false,"merged":[[5,22,5,24],[7,57,7,61],[6,1,6,7],[6,22,6,28],[6,34,6,38],[6,45,6,51],[6,57,6,61],[7,1,7,7],[7,22,7,28],[7,34,7,38],[7,45,7,51],[6,12,6,17],[7,12,7,17]]}
["General government expenditure by function (COFOG) [gov_10a_exp]",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"OLD","http://appsso.eurostat.ec.europa.eu/nui/submitViewTableAction.do",null,null,null,null,null,null,null,null,null,null,null,null,"http://ec.europa.eu/eurostat/statistics-explained/index.php/Government_expenditure_by_function_%E2%80%93_COFOG"]
["EUROSTAT",null,null,null,null,null,null,"2020-06-10","http://ec.europa.eu/eurostat/statistics-explained/index.php/Government_expenditure_by_function_%E2%80%93_COFOG",null,null,null,null,null,null,null,null,null,null,null,null,null,"http://ec.europa.eu/eurostat/statistics-explained/index.php/Government_expenditure_on_education",null,null,null,null,null,null,null,null,null,null,null,null,"Press Government Expenditure box in the middle of the screen"]
["Last update","2020-05-07T14:42:24",null,null,null,null,null,null,"Press Government Expenditure box in the middle of the screen",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Next screen: Government expenditure by function for European Union (28 countries), 2017 (% of GDP)"]
["Extracted on","10.06.20",null,null,null,null,null,null,"Next screen: Government expenditure by function for European Union (28 countries), 2017 (% of GDP)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Left hand side screen press: Get the complete dataset"]
["Source of data","Eurostat",null,null,null,null,null,null,"Left hand side screen press: Get the complete dataset",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Once on the database page, you can move the info around. Click and drag the info to where you want"]
[null,"Checked on",null,null,null,null,null,null,"Once on the database page, you can move the info around. Click and drag the info to where you want",null,null,null,null,null,null,null,null,null,null,null,null,null,"Checked on \n"]
["UNIT","Percentage of total",null,null,null,null,null,null,null,null,null,null,"Percentage GDP",null,null,null,null,null,null,null,null,null,"Percentage of total",null,null,null,null,null,null,null,null,null,null,null,"Percentage GDP",null,null,null,null,null,null,null,null,null,null,"Percentage of total",null,null,null,null,null,null,null,null,null,null,null,"Percentage GDP"]
["SECTOR","General government",null,null,null,null,null,null,null,null,null,null,"General government",null,null,null,null,null,null,null,null,null,"General government",null,null,null,null,null,null,null,null,null,null,null,"General government",null,null,null,null,null,null,null,null,null,null,"General government",null,null,null,null,null,null,null,null,null,null,null,"General government"]
["COFOG99","Education","Education","Education","Education","Education","Education","Education",null,null,null,null,"Education","Education","Education","Education","Education","Education",null,null,null,null,"Health","Health","Health","Health","Health","Health","Health",null,null,null,null,null,"Health","Health","Health","Health","Health",null,null,null,null,null,null,"SP","SP","SP","SP","SP","SP","SP",null,null,null,null,null,"SP","SP","SP","SP","SP"]
["NA_ITEM","Total general government expenditure",null,null,null,null,null,null,null,null,null,null,"Total general government expenditure",null,null,null,null,null,null,null,null,null,"Total general government expenditure",null,null,null,null,null,null,null,null,null,null,null,"Total general government expenditure",null,null,null,null,null,null,null,null,null,null,"Total general government expenditure",null,null,null,null,null,null,null,null,null,null,null,"Total general government expenditure"]
[1,2,3,4,5,6,7,8,9,10,null,1,2,3,4,5,6,7,8,9,null,1,2,3,4,5,6,7,8,9,10,null,null,1,2,3,4,5,6,7,8,9,null,null,1,2,3,4,5,6,7,8,9,10,null,null,1,2,3,4,5,6,7,8,9]
[]
["GEO/TIME","2012","2013","2014","2015","2016","2017","2018","% Gov","Year",null,"GEO/TIME","2013","2014","2015","2016","2017",2018,"%GDP","Year",null,"GEO/TIME","2012","2013","2014","2015","2016","2017","2018","% of Gov","Year",null,null,"GEO/TIME","2013","2014","2015","2016","2017",2018,"%GDP","Year",null,null,"GEO / TIME","2012","2013","2014","2015","2016","2017","2018","%Gov","Year",null,null,"GEO/TIME","2013","2014","2015","2016","2017",2018,"% GDP","Year"]
["Austria",9.8000000000000007,9.6999999999999993,9.4,9.6,9.8000000000000007,9.8000000000000007,9.8000000000000007,{"$f":"LOOKUP(1E+300,1/B14:H14,B14:H14)","v":9.8000000000000007},{"$f":"LOOKUP(1E+300,1/B14:H14,$B$13:$H$13)","v":"2018"},null,"Austria",5,4.9000000000000004,4.9000000000000004,4.9000000000000004,4.8,4.8,{"$f":"LOOKUP(1E+300,1/M14:R14,M14:R14)","v":4.8},{"$f":"LOOKUP(1E+300,1/M14:R14,$M$13:$R$13)","v":2018},null,"Austria",15,15.1,15.1,16,16.3,16.600000000000001,16.8,{"$f":"LOOKUP(1E+300,1/W14:AC14,W14:AC14)","v":16.8},{"$f":"LOOKUP(1E+300,1/W14:AC14,$W$13:$AC$13)","v":"2018"},null,null,"Austria",7.8,7.9,8.1999999999999993,8.1999999999999993,8.1999999999999993,8.1999999999999993,{"$f":"LOOKUP(1E+300,1/AI14:AN14,AI14:AN14)","v":8.1999999999999993},{"$f":"LOOKUP(1E+300,1/AI14:AN14,$AI$13:$AN$13)","v":2018},null,null,"Austria",40.799999999999997,41.2,40.9,41.4,41.9,41.7,41.4,{"$f":"LOOKUP(1E+300,1/AT14:AZ14,AT14:AZ14)","v":41.4},{"$f":"LOOKUP(1E+300,1/AT14:AZ14,$AT$13:$AZ$13)","v":"2018"},null,null,"Austria",21.3,21.5,21.2,21,20.5,20.100000000000001,{"$f":"LOOKUP(1E+300,1/BF14:BK14,BF14:BK14)","v":20.100000000000001},{"$f":"LOOKUP(1E+300,1/BF14:BK14,$BF$13:$BK$13)","v":2018}]
["Belgium",11.1,11.4,11.4,11.7,11.7,12,11.9,{"$f":"LOOKUP(1E+300,1/B15:H15,B15:H15)","v":11.9},{"$f":"LOOKUP(1E+300,1/B15:H15,$B$13:$H$13)","v":"2018"},null,"Belgium",6.4,6.3,6.3,6.2,6.2,6.2,{"$f":"LOOKUP(1E+300,1/M15:R15,M15:R15)","v":6.2},{"$f":"LOOKUP(1E+300,1/M15:R15,$M$13:$R$13)","v":2018},null,"Belgium",14.1,14.3,14.4,14.6,14.3,14.6,14.6,{"$f":"LOOKUP(1E+300,1/W15:AC15,W15:AC15)","v":14.6},{"$f":"LOOKUP(1E+300,1/W15:AC15,$W$13:$AC$13)","v":"2018"},null,null,"Belgium",8,8,7.8,7.6,7.6,7.6,{"$f":"LOOKUP(1E+300,1/AI15:AN15,AI15:AN15)","v":7.6},{"$f":"LOOKUP(1E+300,1/AI15:AN15,$AI$13:$AN$13)","v":2018},null,null,"Belgium",34.700000000000003,35.700000000000003,35.6,36.1,36.6,37.1,37,{"$f":"LOOKUP(1E+300,1/AT15:AZ15,AT15:AZ15)","v":37},{"$f":"LOOKUP(1E+300,1/AT15:AZ15,$AT$13:$AZ$13)","v":"2018"},null,null,"Belgium",20.100000000000001,19.8,19.399999999999999,19.399999999999999,19.3,19.3,{"$f":"LOOKUP(1E+300,1/BF15:BK15,BF15:BK15)","v":19.3},{"$f":"LOOKUP(1E+300,1/BF15:BK15,$BF$13:$BK$13)","v":2018}]
["Bulgaria",9.6999999999999993,9.8000000000000007,9.4,9.8000000000000007,9.8000000000000007,10.1,9.6999999999999993,9.6999999999999993,"2018",null,"Bulgaria",3.7,4.0999999999999996,3.9,3.4,3.5,3.5,3.5,2018,null,"Bulgaria",12.7,12,12.6,13.5,14.2,13.9,13.6,{"$f":"LOOKUP(1E+300,1/W16:AC16,W16:AC16)","v":13.6},{"$f":"LOOKUP(1E+300,1/W16:AC16,$W$13:$AC$13)","v":"2018"},null,null,"Bulgaria",4.5,5.5,5.5,5,4.9000000000000004,5,5,2018,null,null,"Bulgaria",35.9,35.700000000000003,30.8,32.5,36,35.200000000000003,32.799999999999997,32.799999999999997,"2018",null,null,"Bulgaria",13.5,13.4,13.1,12.6,12.3,12,12,2018]
["Croatia",7.6,8.1,7.9,13.5,13.8,11.7,11.5,11.5,"2018",null,"Croatia",3.9,3.8,6.6,6.6,5.3,5.3,5.3,2018,null,"Croatia",9.9,9.4,9.3000000000000007,12.9,13,14.4,14.3,14.3,"2018",null,null,"Croatia",4.5,4.5,6.3,6.2,6.5,6.6,6.6,2018,null,null,"Croatia",32.6,33.299999999999997,33.200000000000003,33.799999999999997,31.3,32.200000000000003,31.9,31.9,"2018",null,null,"Croatia",16.100000000000001,16.2,16.5,14.9,14.6,14.7,14.7,2018]
["Cyprus",14.1,14.7,11.3,13.9,14.6,14.4,12,12,"2018",null,"Cyprus",6.4,5.6,5.6,5.5,5.3,5.2,5.2,2018,null,"Cyprus",7.1,7.2,5.4,6.3,6.7,6.8,6.2,6.2,"2018",null,null,"Cyprus",3.1,2.7,2.6,2.5,2.5,2.7,2.7,2018,null,null,"Cyprus",31,31.4,28.2,33.5,35.299999999999997,34.6,28.7,28.7,"2018",null,null,"Cyprus",13.5,13.9,13.6,13.3,12.8,12.5,12.5,2018]
["Czech Republic",11.3,12,12.1,11.8,11.3,10.6,11.4,11.4,"2018",null,"Czech Republic",5.0999999999999996,5.0999999999999996,4.9000000000000004,4.5,4.0999999999999996,4.5999999999999996,4.5999999999999996,2018,null,"Czech Republic",17.399999999999999,17.899999999999999,17.899999999999999,18.100000000000001,18.899999999999999,19.2,18.7,18.7,"2018",null,null,"Czech Republic",7.6,7.6,7.6,7.4,7.5,7.6,7.6,2018,null,null,"Czech Republic",29.9,31.8,30.8,30.1,31.2,30.7,29.5,29.5,"2018",null,null,"Czech Republic",13.5,13.1,12.5,12.3,12,12,12,2018]
["Denmark",12,12.3,12.9,12.9,12.9,12.6,12.6,12.6,"2018",null,"Denmark",6.9,7.1,7,6.8,6.5,6.4,6.4,2018,null,"Denmark",14.9,15.2,15.5,15.6,16.100000000000001,16.399999999999999,16.3,16.3,"2018",null,null,"Denmark",8.5,8.6,8.5,8.4,8.4,8.3000000000000007,8.3000000000000007,2018,null,null,"Denmark",42.4,43.9,43.5,43.1,43.6,43.7,43.1,43.1,"2018",null,null,"Denmark",24.5,24,23.5,22.9,22.4,21.9,21.9,2018]
["Estonia",15.6,15.4,14.6,15,14.4,14.5,15.8,15.8,"2018",null,"Estonia",5.9,5.5,5.9,5.7,5.7,6.2,6.2,2018,null,"Estonia",12.7,13,13.5,13.8,13.1,12.7,13.1,13.1,"2018",null,null,"Estonia",5,5.0999999999999996,5.4,5.2,5,5.0999999999999996,5.0999999999999996,2018,null,null,"Estonia",31.3,30.9,31.1,32.200000000000003,33.200000000000003,32.799999999999997,33.299999999999997,33.299999999999997,"2018",null,null,"Estonia",11.8,11.7,12.6,13.1,12.9,13,13,2018]
["Finland",11.5,11.2,11.1,11,10.9,10.5,10.4,10.4,"2018",null,"Finland",6.4,6.3,6.2,6,5.7,5.5,5.5,2018,null,"Finland",13.9,13.8,13.6,12.9,12.9,13.1,13.2,13.2,"2018",null,null,"Finland",7.8,7.8,7.3,7.2,7,7,7,2018,null,null,"Finland",42.5,43.3,44,44.7,45.8,45.8,45.5,45.5,"2018",null,null,"Finland",24.6,25.2,25.3,25.5,24.6,24.1,24.1,2018]
["France",9.6,9.6,9.6,9.6,9.6,9.6,9.1,9.1,"2018",null,"France",5.5,5.5,5.4,5.4,5.4,5.0999999999999996,5.0999999999999996,2018,null,"France",14,14.1,14.3,14.2,14.4,14.4,14.5,14.5,"2018",null,null,"France",8.1,8.1999999999999993,8.1,8.1,8.1,8.1,8.1,2018,null,null,"France",42.3,42.7,42.8,42.9,43.2,42.9,42.6,42.6,"2018",null,null,"France",24.5,24.5,24.3,24.4,24.2,23.9,23.9,2018]
["Germany",9.5,9.6999999999999993,9.6999999999999993,9.5,9.4,9.3000000000000007,9.4,9.4,"2018",null,"Germany",4.4000000000000004,4.3,4.2,4.0999999999999996,4.0999999999999996,4.2,4.2,2018,null,"Germany",15.3,15.7,16.100000000000001,16.3,16.3,16.2,16.2,16.2,"2018",null,null,"Germany",7.1,7.2,7.2,7.2,7.2,7.2,7.2,2018,null,null,"Germany",42.1,42.3,42.4,43.3,44,44,43.6,43.6,"2018",null,null,"Germany",19,18.8,19.100000000000001,19.5,19.600000000000001,19.399999999999999,19.399999999999999,2018]
["Greece",8.1,7.2,8.5,7.7,8,8,8.3000000000000007,8.3000000000000007,"2018",null,"Greece",4.5,4.3,4.0999999999999996,3.9,3.8,3.9,3.9,2018,null,"Greece",10.5,8.4,9.4,8.8000000000000007,10.1,11,10.6,10.6,"2018",null,null,"Greece",5.2,4.7,4.7,5,5.2,5,5,2018,null,null,"Greece",37.700000000000003,31.4,40.1,37.799999999999997,41.7,41.1,40.5,40.5,"2018",null,null,"Greece",19.600000000000001,20.2,20.3,20.399999999999999,19.5,19,19,2018]
["Hungary",9.5,9.4,10.4,10.3,10.6,10.9,11,11,"2018",null,"Hungary",4.7,5.2,5.2,5,5.0999999999999996,5.0999999999999996,5.0999999999999996,2018,null,"Hungary",10.4,10,9.6,10.199999999999999,10.1,10.1,10.1,10.1,"2018",null,null,"Hungary",5,4.8,5.2,4.8,4.7,4.7,4.7,2018,null,null,"Hungary",33.799999999999997,32.799999999999997,30.6,28.9,30.3,29.5,28.5,28.5,"2018",null,null,"Hungary",16.399999999999999,15.3,14.6,14.3,13.9,13.3,13.3,2018]
["Iceland",16.8,17.100000000000001,16.8,17.399999999999999,15.8,17.100000000000001,17.399999999999999,17.399999999999999,"2018",null,"Iceland",7.3,7.4,7.2,7.1,7.3,7.3,7.3,2018,null,"Iceland",16.2,16.8,16.600000000000001,17.399999999999999,16.5,17.7,18.5,18.5,"2018",null,null,"Iceland",7.1,7.3,7.2,7.4,7.6,7.8,7.8,2018,null,null,"Iceland",23.4,23.2,22.4,22.1,29.7,22.7,23.6,23.6,"2018",null,null,"Iceland",9.8000000000000007,9.8000000000000007,9.1,13.2,9.8000000000000007,9.9,9.9,2018]
["Ireland",11.7,11.7,11.5,11.4,12,12.3,12.6,12.6,"2018",null,"Ireland",4.7,4.3,3.3,3.3,3.2,3.2,3.2,2018,null,"Ireland",17.8,17.899999999999999,18.100000000000001,18.2,18.899999999999999,19.5,19.8,19.8,"2018",null,null,"Ireland",7.2,6.8,5.3,5.3,5.0999999999999996,5,5,2018,null,null,"Ireland",38,37.6,36.9,35.9,36.5,36.4,35.4,35.4,"2018",null,null,"Ireland",15.2,13.8,10.4,10.1,9.5,9,9,2018]
["Italy",8,8,7.9,7.9,8,8,8.1999999999999993,8.1999999999999993,"2018",null,"Italy",4.0999999999999996,4,4,3.9,3.9,4,4,2018,null,"Italy",14.1,14,14,14,14.1,14.1,14.1,14.1,"2018",null,null,"Italy",7.1,7.1,7,6.9,6.8,6.8,6.8,2018,null,null,"Italy",40,41,41.5,42.3,42.6,42.5,42.9,42.9,"2018",null,null,"Italy",20.9,21.1,21.3,20.9,20.7,20.8,20.8,2018]
["Latvia",15.1,15.2,15.5,15.6,14.8,15.3,15.1,15.1,"2018",null,"Latvia",5.7,5.9,5.9,5.5,5.8,5.8,5.8,2018,null,"Latvia",10.199999999999999,9.6999999999999993,10,9.9,10.1,9.3000000000000007,10.4,10.4,"2018",null,null,"Latvia",3.7,3.8,3.7,3.7,3.5,4,4,2018,null,null,"Latvia",30,30.6,30.1,31.2,32.4,30.9,30.2,30.2,"2018",null,null,"Latvia",11.5,11.4,11.8,12,11.8,11.6,11.6,2018]
["Lithuania",15,14.8,14.5,14.5,14,13.7,13.4,13.4,"2018",null,"Lithuania",5.2,5,5.0999999999999996,4.8,4.5,4.5999999999999996,4.5999999999999996,2018,null,"Lithuania",16.3,15.8,15.9,16.5,17,17,17.399999999999999,17.399999999999999,"2018",null,null,"Lithuania",5.6,5.5,5.8,5.8,5.6,5.9,5.9,2018,null,null,"Lithuania",33.4,32.1,33.1,31.9,32.799999999999997,33.799999999999997,35.4,35.4,"2018",null,null,"Lithuania",11.4,11.5,11.2,11.2,11.2,12.1,12.1,2018]
["Luxembourg",13.1,11.8,11.2,11.2,11,10.9,11,11,"2018",null,"Luxembourg",5.0999999999999996,4.7,4.5999999999999996,4.5,4.5,4.5999999999999996,4.5999999999999996,2018,null,"Luxembourg",11,12,11.8,11.4,11.3,11.4,11.3,11.3,"2018",null,null,"Luxembourg",5.2,5,4.7,4.5999999999999996,4.8,4.7,4.7,2018,null,null,"Luxembourg",42.4,43,43.2,43.9,43.2,43.3,42.9,42.9,"2018",null,null,"Luxembourg",18.600000000000001,18.100000000000001,18.2,17.600000000000001,18.100000000000001,18,18,2018]
["Malta",13.6,13.8,13.4,13.3,14.3,13.8,14.2,14.2,"2018",null,"Malta",5.8,5.5,5.3,5.2,4.9000000000000004,5.2,5.2,2018,null,"Malta",12.9,13.6,13.9,14.1,14.8,15.1,14.6,14.6,"2018",null,null,"Malta",5.7,5.7,5.6,5.4,5.4,5.3,5.3,2018,null,null,"Malta",32.799999999999997,32.9,31.8,30.2,31.8,31.6,29.8,29.8,"2018",null,null,"Malta",13.8,13,11.9,11.6,11.3,10.9,10.9,2018]
["Netherlands",11.6,11.4,11.6,11.7,12,12.1,12.1,12.1,"2018",null,"Netherlands",5.3,5.3,5.2,5.2,5.0999999999999996,5.0999999999999996,5.0999999999999996,2018,null,"Netherlands",17.399999999999999,17.3,17.399999999999999,17.8,17.3,17.899999999999999,18,18,"2018",null,null,"Netherlands",8.1,8,8,7.5,7.6,7.6,7.6,2018,null,null,"Netherlands",36.200000000000003,36.9,37.200000000000003,37,37.6,37.4,36.799999999999997,36.799999999999997,"2018",null,null,"Netherlands",17.100000000000001,17,16.5,16.399999999999999,15.9,15.5,15.5,2018]
["Norway",11.3,11.1,11.1,11.1,11,11.1,11,11,"2018",null,"Norway",4.9000000000000004,5.0999999999999996,5.5,5.7,5.6,5.4,5.4,2018,null,"Norway",16.5,16.600000000000001,16.7,16.7,16.7,16.7,16.8,16.8,"2018",null,null,"Norway",7.4,7.7,8.1999999999999993,8.6,8.4,8.1999999999999993,8.1999999999999993,2018,null,null,"Norway",39.9,39.700000000000003,39.4,39.6,39.799999999999997,39.4,38.9,38.9,"2018",null,null,"Norway",17.600000000000001,18.2,19.5,20.5,19.899999999999999,19.100000000000001,19.100000000000001,2018]
["Poland",12.5,12.4,12.4,12.7,12.1,11.9,12,12,"2018",null,"Poland",5.3,5.3,5.3,5,4.9000000000000004,5,5,2018,null,"Poland",10.8,10.9,10.9,11.2,11.3,11.4,11.6,11.6,"2018",null,null,"Poland",4.5999999999999996,4.5999999999999996,4.7,4.5999999999999996,4.7,4.8,4.8,2018,null,null,"Poland",36.4,37.6,37.6,37.700000000000003,40.5,39.9,39,39,"2018",null,null,"Poland",16,15.9,15.7,16.600000000000001,16.399999999999999,16.2,16.2,2018]
["Portugal",11,11,10.3,10.5,10.7,10.1,10.5,10.5,"2018",null,"Portugal",5.5,5.3,5.0999999999999996,4.8,4.5999999999999996,4.5,4.5,2018,null,"Portugal",13.6,13,12.2,12.8,13.6,13.8,14.5,14.5,"2018",null,null,"Portugal",6.5,6.3,6.2,6.1,6.2,6.3,6.3,2018,null,null,"Portugal",37.799999999999997,38.9,36.700000000000003,38.299999999999997,40.299999999999997,37.9,39.299999999999997,39.299999999999997,"2018",null,null,"Portugal",19.399999999999999,19,18.5,18.100000000000001,17.2,17.100000000000001,17.100000000000001,2018]
["Romania",8,7.9,8.5,8.5,9.6,8.5,9.1,9.1,"2018",null,"Romania",2.8,3,3.1,3.3,2.8,3.2,3.2,2018,null,"Romania",10.3,11.4,11.3,11.6,11.7,12.9,13.3,13.3,"2018",null,null,"Romania",4,4,4.2,4,4.3,4.7,4.7,2018,null,null,"Romania",33.1,32.5,32.200000000000003,31.7,33.299999999999997,34.700000000000003,33.299999999999997,33.299999999999997,"2018",null,null,"Romania",11.5,11.4,11.4,11.5,11.7,11.6,11.6,2018]
["Slovak Republic",9.6,9.5,9.3000000000000007,9.1,9,9.4,9.5,9.5,"2018",null,"Slovak Republic",4,4,4.2,3.9,3.9,4,{"$f":"LOOKUP(1E+300,1/M39:R39,M39:R39)","v":4},{"$f":"LOOKUP(1E+300,1/M39:R39,$M$13:$R$13)","v":2018},null,"Slovak Republic",17,16.5,16.5,15.6,17.5,17.399999999999999,17.5,17.5,"2018",null,null,"Slovak Republic",7,7.1,7.1,7.5,7.2,7.3,7.3,2018,null,null,"Slovak Republic",36.200000000000003,36,34.6,32.1,35,35.1,34.299999999999997,34.299999999999997,"2018",null,null,"Slovak Republic",15.2,15,14.7,14.9,14.6,14.3,14.3,2018]
["Slovenia",13,10.7,11.8,11.5,12,12.3,12.4,12.4,"2018",null,"Slovenia",6.5,6,5.6,5.6,5.4,5.4,{"$f":"LOOKUP(1E+300,1/M40:R40,M40:R40)","v":5.4},{"$f":"LOOKUP(1E+300,1/M40:R40,$M$13:$R$13)","v":2018},null,"Slovenia",14,11.3,12.8,13.7,14.5,15.1,15.1,15.1,"2018",null,null,"Slovenia",6.8,6.5,6.7,6.7,6.6,6.6,6.6,2018,null,null,"Slovenia",39.5,32.5,37,37.5,38.200000000000003,38.700000000000003,38.299999999999997,38.299999999999997,"2018",null,null,"Slovenia",19.600000000000001,18.8,18.3,17.7,17.100000000000001,16.7,16.7,2018]
["Spain",8.6,9,9.1,9.4,9.6,9.6999999999999993,9.6,9.6,"2018",null,"Spain",4.0999999999999996,4.0999999999999996,4.0999999999999996,4.0999999999999996,4,4,4,2018,null,"Spain",12.9,13.5,13.6,14.1,14.3,14.5,14.4,14.4,"2018",null,null,"Spain",6.2,6.2,6.2,6.1,6,6,6,2018,null,null,"Spain",36.6,39.6,39.799999999999997,39.1,40,40.5,40.5,40.5,"2018",null,null,"Spain",18.2,17.899999999999999,17.2,17,16.7,16.899999999999999,16.899999999999999,2018]
["Sweden",12.7,12.6,12.8,13,13.3,13.6,13.8,13.8,"2018",null,"Sweden",6.5,6.5,6.4,6.6,6.7,6.9,6.9,2018,null,"Sweden",13.4,13.4,13.6,13.8,13.8,13.9,14,14,"2018",null,null,"Sweden",6.9,6.9,6.8,6.9,6.9,7,7,2018,null,null,"Sweden",40.1,40.6,40.5,40.799999999999997,41.3,40.6,39.200000000000003,39.200000000000003,"2018",null,null,"Sweden",21,20.6,20.2,20.5,20,19.5,19.5,2018]
["Switzerland",16.399999999999999,16.100000000000001,16.3,16.399999999999999,16.399999999999999,16.5,16.5,16.5,"2018",null,"Switzerland",5.5,5.5,5.6,5.6,5.6,5.6,5.6,2018,null,"Switzerland",6.3,6.3,6.4,6.4,6.5,6.3,6.4,6.4,"2018",null,null,"Switzerland",2.2000000000000002,2.1,2.2000000000000002,2.2000000000000002,2.2000000000000002,2.2000000000000002,2.2000000000000002,2018,null,null,"Switzerland",38.700000000000003,38,38.6,39,39.6,39.6,39.4,39.4,"2018",null,null,"Switzerland",13,13,13.2,13.5,13.5,13.3,13.3,2018]
["United Kingdom",12.3,12.1,12.5,12.4,12.3,12,11.8,11.8,"2018",null,"United Kingdom",5.3,5.4,5.2,5.0999999999999996,4.9000000000000004,4.8,4.8,2018,null,"United Kingdom",16.2,16.8,17.399999999999999,17.8,18.2,18.2,18.3,18.3,"2018",null,null,"United Kingdom",7.4,7.5,7.5,7.6,7.5,7.5,7.5,2018,null,null,"United Kingdom",37.1,37.6,37.5,37.9,37.6,36.700000000000003,36.5,36.5,"2018",null,null,"United Kingdom",16.5,16.100000000000001,16,15.6,15.1,14.9,14.9,2018]
[]
["Special value:"]
[":"]

{"sheet":"PS_Source_GSW_Education","index":23,"n_rows":1867,"n_cols":17,"rows_kept":1867,"cut":false,"hidden":false,"merged":[]}
["GSW - Education"]
[]
["Year","Country","Type","total_total_expenditure","gdp_total_expenditure","Income_Group","Region","EDUCATION",null,"Latest date\nDo not touch this formula","Country\n","Expenditure\nDo not touch this formula","% of total EXP\nDo not touch the formula","% of GDP\nDo not touch the formula","Latest date\nDo not touch the formula","EDUCATION","EDUCATION"]
[2008,"Afghanistan","Planned",11.92,3.01,"LIC","Asia",null,1,{"$f":"LARGE(INDEX(($B$4:$B$1868=K4)*($D$4:$D$1868<>\"Null\")*($E$4:$E$1868<>\"Null\")*($A$4:$A$1868),,),1)","v":2019},"Afghanistan",{"$f":"INDEX(C$3:C$1867,MATCH(1,INDEX(($A$3:$A$1867=$J4)*($B$3:$B$1867=$K4)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":"Planned"},{"$f":"INDEX(D$3:D$1867,MATCH(1,INDEX(($A$3:$A$1867=$J4)*($B$3:$B$1867=$K4)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":11.8},{"$f":"INDEX(E$3:E$1867,MATCH(1,INDEX(($A$3:$A$1867=$J4)*($B$3:$B$1867=$K4)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":3.84},{"$f":"J4","v":2019}]
[2008,"Afghanistan","Actual",16.13,3.56,"LIC","Asia",null,2,{"$f":"LARGE(INDEX(($B$4:$B$1868=K5)*($D$4:$D$1868<>\"Null\")*($E$4:$E$1868<>\"Null\")*($A$4:$A$1868),,),1)","v":2019},"Albania","Planned",8.23,2.5099999999999998,2019]
[2009,"Afghanistan","Planned",17.100000000000001,3.8,"LIC","Asia",null,3,2019,"Angola","Planned",9.58,2.1,2019]
[2009,"Afghanistan","Actual",17.350000000000001,3.75,"LIC","Asia",null,4,2019,"Armenia","Planned",8.58,2.16,2019]
[2010,"Afghanistan","Planned",19.68,4.2300000000000004,"LIC","Asia",null,5,2019,"Bangladesh","Planned",14.63,2.65,2019]
[2010,"Afghanistan","Actual",16.66,3.61,"LIC","Asia",null,6,2019,"Belize","Planned",23.6,7.13,2019]
[2011,"Afghanistan","Planned",15.49,3.99,"LIC","Asia",null,7,2019,"Benin","Planned",19.78,2.98,2019]
[2011,"Afghanistan","Actual",15.25,3.64,"LIC","Asia",null,8,2019,"Bhutan","Planned",16.25,4.49,2019]
[2012,"Afghanistan","Planned",12.84,3.04,"LIC","Asia",null,9,2015,"Bolivia","Actual",14.59,5.92,2015]
[2012,"Afghanistan","Actual",14.02,2.57,"LIC","Asia",null,10,2019,"Burkina Faso","Planned",22.89,5.97,2019]
[2013,"Afghanistan","Planned",14.49,4.59,"LIC","Asia",null,11,2019,"Burundi","Planned",18.03,3.74,2019]
[2013,"Afghanistan","Actual",14.53,3.56,"LIC","Asia",null,14,2019,"Cabo Verde","Planned",18.66,6.78,2019]
[2014,"Afghanistan","Planned",12.45,4.51,"LIC","Asia",null,12,2017,"Cambodia","Planned",13.69,3.05,2017]
[2014,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,13,2019,"Cameroon","Planned",17.21,3.04,2019]
[2015,"Afghanistan","Planned",12.5,4.4400000000000004,"LIC","Asia",null,15,2019,"Central African Republic","Planned",10.84,1.92,2019]
[2015,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,16,2019,"Chad","Planned",13.82,2.37,2019]
[2016,"Afghanistan","Planned",12.71,4.29,"LIC","Asia",null,17,2019,"Colombia","Planned",16.010000000000002,3.94,2019]
[2016,"Afghanistan","Actual",12.72,3.42,"LIC","Asia",null,22,2012,"Comoros","Planned",19.149999999999999,2.77,2012]
[2017,"Afghanistan","Planned",12.66,4.12,"LIC","Asia",null,18,2019,"Congo, Dem. Rep.","Planned",18.29,2.0499999999999998,2019]
[2017,"Afghanistan","Actual",10.78,3.51,"LIC","Asia",null,19,2019,"Congo, Rep.","Planned",16.93,3.71,2019]
[2018,"Afghanistan","Planned",11.99,3.9,"LIC","Asia",null,20,2019,"Cote d'Ivoire","Planned",17.71,5.01,2019]
[2018,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,21,2013,"Djibouti","Planned",18.88,4.84,2013]
[2019,"Afghanistan","Planned",11.8,3.84,"LIC","Asia",null,23,2019,"Dominican Republic","Planned",20.100000000000001,4.07,2019]
[2008,"Albania","Planned","NULL","NULL","UMIC","Europe",null,24,2019,"Ecuador","Planned",15.29,5.04,2019]
[2008,"Albania","Actual","NULL","NULL","UMIC","Europe",null,67,2019,"El Salvador","Planned",14.5,3.71,2019]
[2009,"Albania","Planned","NULL","NULL","UMIC","Europe",null,25,2019,"Eswatini","Planned",20.98,6.17,2019]
[2009,"Albania","Actual","NULL","NULL","UMIC","Europe",null,26,2019,"Ethiopia","Planned",25.48,3.83,2019]
[2010,"Albania","Planned","NULL","NULL","UMIC","Europe",null,70,2019,"Fiji","Planned",14.8,5.37,2019]
[2010,"Albania","Actual","NULL","NULL","UMIC","Europe",null,27,2019,"Gambia, The","Planned",15.46,4.9800000000000004,2019]
[2011,"Albania","Planned","NULL","NULL","UMIC","Europe",null,28,2019,"Ghana","Planned",17.71,3.7,2019]
[2011,"Albania","Actual","NULL","NULL","UMIC","Europe",null,29,2019,"Guatemala","Planned",22.25,2.61,2019]
[2012,"Albania","Planned","NULL","NULL","UMIC","Europe",null,30,2018,"Guinea","Planned",14.66,2.71,2018]
[2012,"Albania","Actual","NULL","NULL","UMIC","Europe",null,31,2015,"Guinea-Bissau",{"$f":"INDEX(C$3:C$1867,MATCH(1,INDEX(($A$3:$A$1867=$J36)*($B$3:$B$1867=$K36)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":"Planned"},{"$f":"INDEX(D$3:D$1867,MATCH(1,INDEX(($A$3:$A$1867=$J36)*($B$3:$B$1867=$K36)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":12.6},{"$f":"INDEX(E$3:E$1867,MATCH(1,INDEX(($A$3:$A$1867=$J36)*($B$3:$B$1867=$K36)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":2.38},{"$f":"J36","v":2015}]
[2013,"Albania","Planned",9.74,2.95,"UMIC","Europe",null,32,2019,"Guyana","Planned",17.940000000000001,6.12,2019]
[2013,"Albania","Actual","NULL","NULL","UMIC","Europe",null,33,2019,"Haiti","Planned",14.39,3.77,2019]
[2014,"Albania","Planned",8.9499999999999993,2.93,"UMIC","Europe",null,34,2019,"Honduras","Planned",14.84,6.35,2019]
[2014,"Albania","Actual","NULL","NULL","UMIC","Europe",null,35,2019,"India","Planned",{"$f":"INDEX(D$3:D$1867,MATCH(1,INDEX(($A$3:$A$1867=$J40)*($B$3:$B$1867=$K40)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":9.0500000000000007},{"$f":"INDEX(E$3:E$1867,MATCH(1,INDEX(($A$3:$A$1867=$J40)*($B$3:$B$1867=$K40)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":2.76},{"$f":"J40","v":2019}]
[2015,"Albania","Planned",8.7200000000000006,2.87,"UMIC","Europe",null,36,2019,"Jamaica","Planned",16.95,4.8899999999999997,2019]
[2015,"Albania","Actual","NULL","NULL","UMIC","Europe",null,37,2019,"Jordan","Planned",12.54,3.71,2019]
[2016,"Albania","Planned",8.5299999999999994,2.63,"UMIC","Europe",null,38,2019,"Kenya","Planned",16.63,4.74,2019]
[2016,"Albania","Actual","NULL","NULL","UMIC","Europe",null,39,2019,"Kiribati","Planned",9.66,16.16,2019]
[2017,"Albania","Planned",8.1300000000000008,2.4500000000000002,"UMIC","Europe",null,40,2019,"Kosovo","Planned",13.65,4.53,2019]
[2017,"Albania","Actual","NULL","NULL","UMIC","Europe",null,41,2019,"Kyrgyz Republic","Planned",16.940000000000001,5.01,2019]
[2018,"Albania","Planned",8.36,2.56,"UMIC","Europe",null,42,2019,"Lesotho","Planned",12.98,5.93,2019]
[2018,"Albania","Actual","NULL","NULL","UMIC","Europe",null,43,2019,"Liberia","Planned",18.010000000000002,2.65,2019]
[2019,"Albania","Planned",8.23,2.5099999999999998,"UMIC","Europe",null,44,2019,"Madagascar","Planned",18.54,3.34,2019]
[2008,"Angola","Planned",8.9700000000000006,3.03,"LMIC","Africa",null,45,2019,"Malawi","Planned",17.399999999999999,4.9000000000000004,2019]
[2008,"Angola","Actual","NULL","NULL","LMIC","Africa",null,46,2019,"Mali","Planned",15.7,3.69,2019]
[2009,"Angola","Planned",8.83,4.5,"LMIC","Africa",null,47,2017,"Mauritania","Planned",16.95,40.58,2017]
[2009,"Angola","Actual",7.57,3.21,"LMIC","Africa",null,48,2019,"Moldova","Planned",16.2,5.4,2019]
[2010,"Angola","Planned",10.63,3.42,"LMIC","Africa",null,49,2019,"Mongolia","Planned",17,5.0199999999999996,2019]
[2010,"Angola","Actual",7.89,2.85,"LMIC","Africa",null,50,2019,"Mozambique","Planned",16.64,5.99,2019]
[2011,"Angola","Planned",10.96,3.25,"LMIC","Africa",null,51,2019,"Nepal","Planned",10.199999999999999,3.87,2019]
[2011,"Angola","Actual",8.44,3.03,"LMIC","Africa",null,52,2017,"Nicaragua","Planned",22.98,4.42,2017]
[2012,"Angola","Planned",11.02,3.08,"LMIC","Africa",null,53,2019,"Niger","Planned",14.59,4.9400000000000004,2019]
[2012,"Angola","Actual",8.36,2.96,"LMIC","Africa",null,54,2012,"Nigeria","Actual",6.54,0.91,2012]
[2013,"Angola","Planned",11.67,4.4400000000000004,"LMIC","Africa",null,55,2019,"Occupied Palestinian Territory","Planned",18.524883900928792,6.181682501614242,2019,"Amended by DW on email 03.06.20 as per request of OPT Oxfam Office email sent to Jo"]
[2013,"Angola","Actual",8.11,3.76,"LMIC","Africa",null,56,2019,"Pakistan","Planned",6.09,1.53,2019]
[2014,"Angola","Planned",8.32,3.12,"LMIC","Africa",null,57,2019,"Papua New Guinea","Planned",17.5,3.52,2019]
[2014,"Angola","Actual",5.9,2.83,"LMIC","Africa",null,58,2019,"Paraguay","Planned",12.86,3.85,2019]
[2015,"Angola","Planned",9.33,3.49,"LMIC","Africa",null,59,2019,"Peru","Planned",18.22,3.95,2019]
[2015,"Angola","Actual",9.56,3.01,"LMIC","Africa",null,60,2019,"Rwanda","Planned",10.76,3.02,2019]
[2016,"Angola","Planned",11.43,2.97,"LMIC","Africa",null,61,2019,"Samoa","Planned",11.88,4.71,2019]
[2016,"Angola","Actual","NULL","NULL","LMIC","Africa",null,62,2019,"Sao Tome and Principe","Planned",18.5,5.96,2019]
[2017,"Angola","Planned",10.4,2.4700000000000002,"LMIC","Africa",null,63,2019,"Senegal",{"$f":"INDEX(C$3:C$1867,MATCH(1,INDEX(($A$3:$A$1867=$J68)*($B$3:$B$1867=$K68)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":"Planned"},{"$f":"INDEX(D$3:D$1867,MATCH(1,INDEX(($A$3:$A$1867=$J68)*($B$3:$B$1867=$K68)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":17.07},{"$f":"INDEX(E$3:E$1867,MATCH(1,INDEX(($A$3:$A$1867=$J68)*($B$3:$B$1867=$K68)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":4.8099999999999996},{"$f":"J68","v":2019}]
[2017,"Angola","Actual","NULL",2.0299999999999998,"LMIC","Africa",null,64,{"$f":"LARGE(INDEX(($B$4:$B$1868=K69)*($D$4:$D$1868<>\"Null\")*($E$4:$E$1868<>\"Null\")*($A$4:$A$1868),,),1)","v":2019},"Sierra Leone","Planned",16.21,3.28,2019]
[2018,"Angola","Planned",10.220000000000001,1.96,"LMIC","Africa",null,65,2019,"Solomon Islands","Planned",23.99,11.39,2019]
[2018,"Angola","Actual","NULL","NULL","LMIC","Africa",null,66,2019,"South Africa","Planned",21.85,6.56,2019]
[2019,"Angola","Planned",9.58,2.1,"LMIC","Africa",null,68,2019,"South Sudan","Planned",9.35,0.94,2019]
[2008,"Armenia","Planned","NULL","NULL","UMIC","Asia",null,69,2019,"Sri Lanka","Planned",9.15,1.87,2019]
[2008,"Armenia","Actual","NULL","NULL","UMIC","Asia",null,71,2019,"Tajikistan","Planned",18.23,5.67,2019]
[2009,"Armenia","Planned","NULL","NULL","UMIC","Asia",null,72,2019,"Tanzania","Planned",13.99,3.16,2019]
[2009,"Armenia","Actual","NULL","NULL","UMIC","Asia",null,73,2019,"Timor-Leste","Planned",7.69,4.3099999999999996,2019]
[2010,"Armenia","Planned","NULL",2.89,"UMIC","Asia",null,74,2019,"Togo","Planned",16.36,4.58,2019]
[2010,"Armenia","Actual",10.79,2.83,"UMIC","Asia",null,75,2019,"Tonga","Planned",13.74,5.83,2019]
[2011,"Armenia","Planned",11.05,2.87,"UMIC","Asia",null,76,2019,"Uganda","Planned",11.47,2.36,2019]
[2011,"Armenia","Actual",11.25,2.81,"UMIC","Asia",null,77,2019,"Vanuatu","Planned",16.48,6.14,2019]
[2012,"Armenia","Planned",10.29,2.4700000000000002,"UMIC","Asia",null,78,2015,"Vietnam","Planned",17.010000000000002,4.3899999999999997,2015]
[2012,"Armenia","Actual","NULL",2.41,"UMIC","Asia",null,79,2013,"Yemen, Rep.","Actual",15.76,4.92,2013]
[2013,"Armenia","Planned",9.66,2.38,"UMIC","Asia",null,80,2019,"Zambia","Planned",15.29,4.2300000000000004,2019]
[2013,"Armenia","Actual","NULL",2.2599999999999998,"UMIC","Asia",null,81,2019,"Zimbabwe","Planned",29.4,1.55,2019]
[2014,"Armenia","Planned",10.68,2.65,"UMIC","Asia"]
[2014,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2015,"Armenia","Planned",9.6300000000000008,2.4900000000000002,"UMIC","Asia"]
[2015,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2016,"Armenia","Planned",9.35,2.54,"UMIC","Asia"]
[2016,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2017,"Armenia","Planned",9.3800000000000008,2.29,"UMIC","Asia"]
[2017,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2018,"Armenia","Planned",8.68,2.12,"UMIC","Asia"]
[2018,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Armenia","Planned",8.58,2.16,"UMIC","Asia"]
[2008,"Bangladesh","Planned",13.5,1.97,"LMIC","Asia"]
[2008,"Bangladesh","Actual",12.01,1.73,"LMIC","Asia"]
[2009,"Bangladesh","Planned",13.1,1.86,"LMIC","Asia"]
[2009,"Bangladesh","Actual",13.55,1.72,"LMIC","Asia"]
[2010,"Bangladesh","Planned",12.66,1.81,"LMIC","Asia"]
[2010,"Bangladesh","Actual",15.65,1.99,"LMIC","Asia"]
[2011,"Bangladesh","Planned",13.93,2.0099999999999998,"LMIC","Asia"]
[2011,"Bangladesh","Actual",14.66,2.0499999999999998,"LMIC","Asia"]
[2012,"Bangladesh","Planned",12.44,1.93,"LMIC","Asia"]
[2012,"Bangladesh","Actual",12.54,1.81,"LMIC","Asia"]
[2013,"Bangladesh","Planned",11.56,1.85,"LMIC","Asia"]
[2013,"Bangladesh","Actual",12.23,1.78,"LMIC","Asia"]
[2014,"Bangladesh","Planned",11.74,1.94,"LMIC","Asia"]
[2014,"Bangladesh","Actual",14.15,1.98,"LMIC","Asia"]
[2015,"Bangladesh","Planned",13.09,2.16,"LMIC","Asia"]
[2015,"Bangladesh","Actual",14.82,2,"LMIC","Asia"]
[2016,"Bangladesh","Planned",11.65,1.98,"LMIC","Asia"]
[2016,"Bangladesh","Actual",16.739999999999998,2.2999999999999998,"LMIC","Asia"]
[2017,"Bangladesh","Planned",15.54,2.68,"LMIC","Asia"]
[2017,"Bangladesh","Actual",18.05,2.46,"LMIC","Asia"]
[2018,"Bangladesh","Planned",16.350000000000001,2.91,"LMIC","Asia"]
[2018,"Bangladesh","Actual",14.78,2.11,"LMIC","Asia"]
[2019,"Bangladesh","Planned",14.63,2.65,"LMIC","Asia"]
[2019,"Bangladesh","Actual","NULL","NULL","LMIC","Asia"]
[2008,"Belize","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Belize","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Belize","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Belize","Planned","NULL","NULL","UMIC","LAC"]
[2011,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2012,"Belize","Planned",21.63,6.15,"UMIC","LAC"]
[2012,"Belize","Actual",21.23,5.89,"UMIC","LAC"]
[2013,"Belize","Planned",21.23,6.19,"UMIC","LAC"]
[2013,"Belize","Actual",23.5,6.22,"UMIC","LAC"]
[2014,"Belize","Planned",22.29,6.15,"UMIC","LAC"]
[2014,"Belize","Actual",22.59,6.51,"UMIC","LAC"]
[2015,"Belize","Planned",22.06,6.33,"UMIC","LAC"]
[2015,"Belize","Actual",21.16,6.77,"UMIC","LAC"]
[2016,"Belize","Planned",21.98,6.5,"UMIC","LAC"]
[2016,"Belize","Actual",20.87,7.38,"UMIC","LAC"]
[2017,"Belize","Planned",22.69,7.01,"UMIC","LAC"]
[2017,"Belize","Actual",21.29,6.9,"UMIC","LAC"]
[2018,"Belize","Planned",23.27,7.13,"UMIC","LAC"]
[2018,"Belize","Actual",23.28,7.02,"UMIC","LAC"]
[2019,"Belize","Planned",23.6,7.13,"UMIC","LAC"]
[2019,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2008,"Benin","Planned",23.78,3.54,"LIC","Africa"]
[2008,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2009,"Benin","Planned",22.26,4.03,"LIC","Africa"]
[2009,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2010,"Benin","Planned",17.690000000000001,3.84,"LIC","Africa"]
[2010,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2011,"Benin","Planned",20.11,3.67,"LIC","Africa"]
[2011,"Benin","Actual",21.51,3.22,"LIC","Africa"]
[2012,"Benin","Planned",23.61,3.51,"LIC","Africa"]
[2012,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2013,"Benin","Planned",23.68,3.47,"LIC","Africa"]
[2013,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2014,"Benin","Planned",23.03,3.37,"LIC","Africa"]
[2014,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2015,"Benin","Planned",19.52,3.21,"LIC","Africa"]
[2015,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2016,"Benin","Planned",18.260000000000002,3.08,"LIC","Africa"]
[2016,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2017,"Benin","Planned",16.61,3.54,"LIC","Africa"]
[2017,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2018,"Benin","Planned",20.73,3.4,"LIC","Africa"]
[2018,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2019,"Benin","Planned",19.78,2.98,"LIC","Africa"]
[2008,"Bhutan","Planned",15.22,6.5,"LMIC","Asia"]
[2008,"Bhutan","Actual",15.74,5.95,"LMIC","Asia"]
[2009,"Bhutan","Planned",17.440000000000001,6.93,"LMIC","Asia"]
[2009,"Bhutan","Actual",17.260000000000002,6.22,"LMIC","Asia"]
[2010,"Bhutan","Planned",19.36,7.94,"LMIC","Asia"]
[2010,"Bhutan","Actual",18.84,7.28,"LMIC","Asia"]
[2011,"Bhutan","Planned",17.7,7.29,"LMIC","Asia"]
[2011,"Bhutan","Actual",20.2,7.58,"LMIC","Asia"]
[2012,"Bhutan","Planned",18.3,7.63,"LMIC","Asia"]
[2012,"Bhutan","Actual",19.3,7.37,"LMIC","Asia"]
[2013,"Bhutan","Planned",19.62,6.68,"LMIC","Asia"]
[2013,"Bhutan","Actual",19.46,7.01,"LMIC","Asia"]
[2014,"Bhutan","Planned",18.809999999999999,6.04,"LMIC","Asia"]
[2014,"Bhutan","Actual",16.600000000000001,5.1100000000000003,"LMIC","Asia"]
[2015,"Bhutan","Planned",18.03,5.32,"LMIC","Asia"]
[2015,"Bhutan","Actual",20.02,5.8,"LMIC","Asia"]
[2016,"Bhutan","Planned",19.670000000000002,6.62,"LMIC","Asia"]
[2016,"Bhutan","Actual",20.11,6.39,"LMIC","Asia"]
[2017,"Bhutan","Planned",21.06,6.96,"LMIC","Asia"]
[2017,"Bhutan","Actual",22.34,6.84,"LMIC","Asia"]
[2018,"Bhutan","Planned",18.88,6.31,"LMIC","Asia"]
[2018,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Bhutan","Planned",16.25,4.49,"LMIC","Asia"]
[2019,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2008,"Bolivia","Planned","NULL",5.53,"LMIC","LAC"]
[2008,"Bolivia","Actual",16.850000000000001,5.53,"LMIC","LAC"]
[2009,"Bolivia","Planned","NULL",6.27,"LMIC","LAC"]
[2009,"Bolivia","Actual",19.32,6.27,"LMIC","LAC"]
[2010,"Bolivia","Planned","NULL",6,"LMIC","LAC"]
[2010,"Bolivia","Actual",19.43,6,"LMIC","LAC"]
[2011,"Bolivia","Planned","NULL",6.55,"LMIC","LAC"]
[2011,"Bolivia","Actual",15.69,5.32,"LMIC","LAC"]
[2012,"Bolivia","Planned","NULL",5.23,"LMIC","LAC"]
[2012,"Bolivia","Actual",14.53,4.83,"LMIC","LAC"]
[2013,"Bolivia","Planned","NULL",5,"LMIC","LAC"]
[2013,"Bolivia","Actual",13.37,4.74,"LMIC","LAC"]
[2014,"Bolivia","Planned","NULL",5.19,"LMIC","LAC"]
[2014,"Bolivia","Actual",12.89,5.19,"LMIC","LAC"]
[2015,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2015,"Bolivia","Actual",14.59,5.92,"LMIC","LAC"]
[2016,"Bolivia","Planned","NULL",5.22,"LMIC","LAC"]
[2016,"Bolivia","Actual","NULL","NULL","LMIC","LAC"]
[2017,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2017,"Bolivia","Actual","NULL","NULL","LMIC","LAC"]
[2018,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2018,"Bolivia","Actual","NULL","NULL","LMIC","LAC"]
[2019,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2008,"Burkina Faso","Planned",18.329999999999998,4.6399999999999997,"LIC","Africa"]
[2008,"Burkina Faso","Actual",17.559999999999999,3.71,"LIC","Africa"]
[2009,"Burkina Faso","Planned",16.670000000000002,4.2300000000000004,"LIC","Africa"]
[2009,"Burkina Faso","Actual",17.489999999999998,4.25,"LIC","Africa"]
[2010,"Burkina Faso","Planned",15.95,3.96,"LIC","Africa"]
[2010,"Burkina Faso","Actual",15.22,3.84,"LIC","Africa"]
[2011,"Burkina Faso","Planned",17.21,3.97,"LIC","Africa"]
[2011,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2012,"Burkina Faso","Planned",14.91,3.71,"LIC","Africa"]
[2012,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2013,"Burkina Faso","Planned",13.79,3.83,"LIC","Africa"]
[2013,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2014,"Burkina Faso","Planned",16.79,4.8099999999999996,"LIC","Africa"]
[2014,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2015,"Burkina Faso","Planned",16.53,5.2,"LIC","Africa"]
[2015,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2016,"Burkina Faso","Planned",19.010000000000002,5.38,"LIC","Africa"]
[2016,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2017,"Burkina Faso","Planned",18.82,6.44,"LIC","Africa"]
[2017,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2018,"Burkina Faso","Planned",19.45,6.04,"LIC","Africa"]
[2018,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2019,"Burkina Faso","Planned",22.89,5.97,"LIC","Africa"]
[2008,"Burundi","Planned","NULL","NULL","LIC","Africa"]
[2008,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2009,"Burundi","Planned",20.14,7.62,"LIC","Africa"]
[2009,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2010,"Burundi","Planned",22.12,7.63,"LIC","Africa"]
[2010,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2011,"Burundi","Planned",20.45,7.3,"LIC","Africa"]
[2011,"Burundi","Actual",17.43,6.4,"LIC","Africa"]
[2012,"Burundi","Planned",20.04,7.21,"LIC","Africa"]
[2012,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2013,"Burundi","Planned",16.75,5.82,"LIC","Africa"]
[2013,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2014,"Burundi","Planned",19.829999999999998,6.09,"LIC","Africa"]
[2014,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2015,"Burundi","Planned",19.55,6.47,"LIC","Africa"]
[2015,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2016,"Burundi","Planned",16.29,3.96,"LIC","Africa"]
[2016,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2017,"Burundi","Planned",17.88,4.04,"LIC","Africa"]
[2017,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2018,"Burundi","Planned",21.12,4.74,"LIC","Africa"]
[2018,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2019,"Burundi","Planned",18.03,3.74,"LIC","Africa"]
[2008,"Cambodia","Planned",16.55,2.2400000000000002,"LMIC","Asia"]
[2008,"Cambodia","Actual",12.51,2.0099999999999998,"LMIC","Asia"]
[2009,"Cambodia","Planned",13.49,2.33,"LMIC","Asia"]
[2009,"Cambodia","Actual",11.13,2.23,"LMIC","Asia"]
[2010,"Cambodia","Planned",12.19,2.1800000000000002,"LMIC","Asia"]
[2010,"Cambodia","Actual",10.62,2.11,"LMIC","Asia"]
[2011,"Cambodia","Planned",12.1,2.2200000000000002,"LMIC","Asia"]
[2011,"Cambodia","Actual",10.54,2.0699999999999998,"LMIC","Asia"]
[2012,"Cambodia","Planned",18.79,3.46,"LMIC","Asia"]
[2012,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Cambodia","Planned",12.55,2.39,"LMIC","Asia"]
[2013,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Cambodia","Planned","NULL","NULL","LMIC","Asia"]
[2014,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Cambodia","Planned",11.91,2.4700000000000002,"LMIC","Asia"]
[2015,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Cambodia","Planned",12.15,2.72,"LMIC","Asia"]
[2016,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Cambodia","Planned",13.69,3.05,"LMIC","Asia"]
[2017,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Cambodia","Planned","NULL","NULL","LMIC","Asia"]
[2018,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Cambodia","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Cameroon","Planned",19.05,2.92,"LMIC","Africa"]
[2008,"Cameroon","Actual",16.600000000000001,2.76,"LMIC","Africa"]
[2009,"Cameroon","Planned",20.95,3.4,"LMIC","Africa"]
[2009,"Cameroon","Actual",19.899999999999999,3.13,"LMIC","Africa"]
[2010,"Cameroon","Planned",19.809999999999999,3.43,"LMIC","Africa"]
[2010,"Cameroon","Actual",17.329999999999998,2.88,"LMIC","Africa"]
[2011,"Cameroon","Planned",16.23,2.63,"LMIC","Africa"]
[2011,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Cameroon","Planned",16.22,2.79,"LMIC","Africa"]
[2012,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Cameroon","Planned",15.19,2.82,"LMIC","Africa"]
[2013,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Cameroon","Planned",15.38,2.71,"LMIC","Africa"]
[2014,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Cameroon","Planned",13.05,2.77,"LMIC","Africa"]
[2015,"Cameroon","Actual","NULL",2.76,"LMIC","Africa"]
[2016,"Cameroon","Planned",11.88,2.65,"LMIC","Africa"]
[2016,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Cameroon","Planned",16.059999999999999,3.04,"LMIC","Africa"]
[2017,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Cameroon","Planned",17.72,3.01,"LMIC","Africa"]
[2018,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Cameroon","Planned",17.21,3.04,"LMIC","Africa"]
[2008,"Cabo Verde","Planned",18.239999999999998,6.04,"LMIC","Africa"]
[2008,"Cabo Verde","Actual",16.89,5.24,"LMIC","Africa"]
[2009,"Cabo Verde","Planned",14.85,5.68,"LMIC","Africa"]
[2009,"Cabo Verde","Actual",17.649999999999999,5.9,"LMIC","Africa"]
[2010,"Cabo Verde","Planned",11.93,5.33,"LMIC","Africa"]
[2010,"Cabo Verde","Actual",12.41,4.92,"LMIC","Africa"]
[2011,"Cabo Verde","Planned",15.82,6.35,"LMIC","Africa"]
[2011,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Cabo Verde","Planned",16.420000000000002,6.24,"LMIC","Africa"]
[2012,"Cabo Verde","Actual",16.14,5.93,"LMIC","Africa"]
[2013,"Cabo Verde","Planned",16.559999999999999,6.51,"LMIC","Africa"]
[2013,"Cabo Verde","Actual",17.25,5.83,"LMIC","Africa"]
[2014,"Cabo Verde","Planned",16.75,6.27,"LMIC","Africa"]
[2014,"Cabo Verde","Actual",17.190000000000001,5.29,"LMIC","Africa"]
[2015,"Cabo Verde","Planned",17.46,6.26,"LMIC","Africa"]
[2015,"Cabo Verde","Actual",17.78,5.64,"LMIC","Africa"]
[2016,"Cabo Verde","Planned",17.649999999999999,6.33,"LMIC","Africa"]
[2016,"Cabo Verde","Actual",19.23,5.69,"LMIC","Africa"]
[2017,"Cabo Verde","Planned",19.03,6.2,"LMIC","Africa"]
[2017,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Cabo Verde","Planned",16.95,5.62,"LMIC","Africa"]
[2018,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Cabo Verde","Planned",18.66,6.78,"LMIC","Africa"]
[2008,"Central African Republic","Planned",10.43,1.46,"LIC","Africa"]
[2008,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2009,"Central African Republic","Planned",8.6,1.49,"LIC","Africa"]
[2009,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2010,"Central African Republic","Planned",10.050000000000001,1.96,"LIC","Africa"]
[2010,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2011,"Central African Republic","Planned",10.8,2.23,"LIC","Africa"]
[2011,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2012,"Central African Republic","Planned",10.62,1.98,"LIC","Africa"]
[2012,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2013,"Central African Republic","Planned",8.08,2.64,"LIC","Africa"]
[2013,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2014,"Central African Republic","Planned",8.6199999999999992,2.04,"LIC","Africa"]
[2014,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2015,"Central African Republic","Planned",8.39,1.91,"LIC","Africa"]
[2015,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2016,"Central African Republic","Planned",7.32,1.75,"LIC","Africa"]
[2016,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2017,"Central African Republic","Planned",8.9,1.75,"LIC","Africa"]
[2017,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2018,"Central African Republic","Planned",10.16,1.7,"LIC","Africa"]
[2018,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2019,"Central African Republic","Planned",10.84,1.92,"LIC","Africa"]
[2008,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2008,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2009,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2009,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2010,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2010,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2011,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2011,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2012,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2012,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2013,"Chad","Planned",13.84,3.72,"LIC","Africa"]
[2013,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2014,"Chad","Planned",14.68,3.99,"LIC","Africa"]
[2014,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2015,"Chad","Planned",11.08,2.31,"LIC","Africa"]
[2015,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2016,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2016,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2017,"Chad","Planned",15.25,2.44,"LIC","Africa"]
[2017,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2018,"Chad","Planned",10.48,2.29,"LIC","Africa"]
[2018,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2019,"Chad","Planned",13.82,2.37,"LIC","Africa"]
[2008,"Colombia","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Colombia","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Colombia","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Colombia","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Colombia","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Colombia","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Colombia","Planned",14.43,3.44,"UMIC","LAC"]
[2011,"Colombia","Actual",14.85,3.52,"UMIC","LAC"]
[2012,"Colombia","Planned",14,3.47,"UMIC","LAC"]
[2012,"Colombia","Actual",14.41,3.49,"UMIC","LAC"]
[2013,"Colombia","Planned",13.45,3.5,"UMIC","LAC"]
[2013,"Colombia","Actual",14.22,3.53,"UMIC","LAC"]
[2014,"Colombia","Planned",13.29,3.54,"UMIC","LAC"]
[2014,"Colombia","Actual",15.95,3.53,"UMIC","LAC"]
[2015,"Colombia","Planned",13.45,3.61,"UMIC","LAC"]
[2015,"Colombia","Actual",14.31,3.61,"UMIC","LAC"]
[2016,"Colombia","Planned",14.65,3.66,"UMIC","LAC"]
[2016,"Colombia","Actual",15.61,3.63,"UMIC","LAC"]
[2017,"Colombia","Planned",15.11,3.68,"UMIC","LAC"]
[2017,"Colombia","Actual",15.72,3.86,"UMIC","LAC"]
[2018,"Colombia","Planned",15.92,3.83,"UMIC","LAC"]
[2018,"Colombia","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Colombia","Planned",16.010000000000002,3.94,"UMIC","LAC"]
[2008,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Comoros","Actual",20.66,3.13,"LMIC","Africa"]
[2009,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Comoros","Actual",23.13,3.16,"LMIC","Africa"]
[2010,"Comoros","Planned",29.04,3.79,"LMIC","Africa"]
[2010,"Comoros","Actual",24.15,3.2,"LMIC","Africa"]
[2011,"Comoros","Planned",27.93,3.81,"LMIC","Africa"]
[2011,"Comoros","Actual",24.43,3.23,"LMIC","Africa"]
[2012,"Comoros","Planned",19.149999999999999,2.77,"LMIC","Africa"]
[2012,"Comoros","Actual",19.16,2.83,"LMIC","Africa"]
[2013,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2013,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2016,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2017,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2018,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Congo, Rep.","Planned",11.07,2.58,"LMIC","Africa"]
[2008,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Congo, Rep.","Planned",10.87,3.19,"LMIC","Africa"]
[2009,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Congo, Rep.","Planned",11.85,2.4300000000000002,"LMIC","Africa"]
[2010,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Congo, Rep.","Planned",11.94,2.63,"LMIC","Africa"]
[2011,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Congo, Rep.","Planned",7.89,3.15,"LMIC","Africa"]
[2012,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Congo, Rep.","Planned",12.98,5.28,"LMIC","Africa"]
[2013,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Congo, Rep.","Planned",12.98,5.87,"LMIC","Africa"]
[2014,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Congo, Rep.","Planned",9.5500000000000007,5.77,"LMIC","Africa"]
[2015,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Congo, Rep.","Planned",11.37,6.42,"LMIC","Africa"]
[2016,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Congo, Rep.","Planned",10.61,5.61,"LMIC","Africa"]
[2017,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Congo, Rep.","Planned",17.899999999999999,3.6,"LMIC","Africa"]
[2018,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Congo, Rep.","Planned",16.93,3.71,"LMIC","Africa"]
[2008,"Congo, Dem. Rep.","Planned",8.3000000000000007,1.8,"LIC","Africa"]
[2008,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2009,"Congo, Dem. Rep.","Planned",11.37,1.88,"LIC","Africa"]
[2009,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2010,"Congo, Dem. Rep.","Planned",8.0500000000000007,2.0699999999999998,"LIC","Africa"]
[2010,"Congo, Dem. Rep.","Actual",6.44,1.21,"LIC","Africa"]
[2011,"Congo, Dem. Rep.","Planned",13.57,3.02,"LIC","Africa"]
[2011,"Congo, Dem. Rep.","Actual",10.27,1.81,"LIC","Africa"]
[2012,"Congo, Dem. Rep.","Planned",16.57,3.38,"LIC","Africa"]
[2012,"Congo, Dem. Rep.","Actual",8.49,1.23,"LIC","Africa"]
[2013,"Congo, Dem. Rep.","Planned",16.18,3.25,"LIC","Africa"]
[2013,"Congo, Dem. Rep.","Actual",14.43,1.77,"LIC","Africa"]
[2014,"Congo, Dem. Rep.","Planned",18.079999999999998,3.24,"LIC","Africa"]
[2014,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2015,"Congo, Dem. Rep.","Planned",19.25,3.1,"LIC","Africa"]
[2015,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2016,"Congo, Dem. Rep.","Planned",14.05,2.5299999999999998,"LIC","Africa"]
[2016,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2017,"Congo, Dem. Rep.","Planned",10.48,2.13,"LIC","Africa"]
[2017,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2018,"Congo, Dem. Rep.","Planned",13.86,1.8,"LIC","Africa"]
[2018,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2019,"Congo, Dem. Rep.","Planned",18.29,2.0499999999999998,"LIC","Africa"]
[2008,"Cote d'Ivoire","Planned",24.33,4.78,"LMIC","Africa"]
[2008,"Cote d'Ivoire","Actual",21.36,4.37,"LMIC","Africa"]
[2009,"Cote d'Ivoire","Planned",24.12,4.84,"LMIC","Africa"]
[2009,"Cote d'Ivoire","Actual",22.22,4.4400000000000004,"LMIC","Africa"]
[2010,"Cote d'Ivoire","Planned",23.9,4.74,"LMIC","Africa"]
[2010,"Cote d'Ivoire","Actual",22.37,4.54,"LMIC","Africa"]
[2011,"Cote d'Ivoire","Planned",24.05,4.33,"LMIC","Africa"]
[2011,"Cote d'Ivoire","Actual",22.96,4.2699999999999996,"LMIC","Africa"]
[2012,"Cote d'Ivoire","Planned",22.18,4.8099999999999996,"LMIC","Africa"]
[2012,"Cote d'Ivoire","Actual",21.51,4.8,"LMIC","Africa"]
[2013,"Cote d'Ivoire","Planned",20.84,5.18,"LMIC","Africa"]
[2013,"Cote d'Ivoire","Actual",22.63,4.96,"LMIC","Africa"]
[2014,"Cote d'Ivoire","Planned",20.41,4.97,"LMIC","Africa"]
[2014,"Cote d'Ivoire","Actual",23.17,4.87,"LMIC","Africa"]
[2015,"Cote d'Ivoire","Planned",22.25,5.14,"LMIC","Africa"]
[2015,"Cote d'Ivoire","Actual",23.8,5.43,"LMIC","Africa"]
[2016,"Cote d'Ivoire","Planned",23.69,5.9,"LMIC","Africa"]
[2016,"Cote d'Ivoire","Actual",25.6,6.13,"LMIC","Africa"]
[2017,"Cote d'Ivoire","Planned",21,5.41,"LMIC","Africa"]
[2017,"Cote d'Ivoire","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Cote d'Ivoire","Planned",19.03,5.38,"LMIC","Africa"]
[2018,"Cote d'Ivoire","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Cote d'Ivoire","Planned",17.71,5.01,"LMIC","Africa"]
[2008,"Djibouti","Planned",24.27,5.62,"LMIC","Africa"]
[2008,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Djibouti","Planned",22.87,6.48,"LMIC","Africa"]
[2009,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Djibouti","Planned",23.82,6.6,"LMIC","Africa"]
[2010,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2012,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Djibouti","Planned",18.88,4.84,"LMIC","Africa"]
[2013,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2016,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2017,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Dominican Republic","Planned",10.4,2.17,"UMIC","LAC"]
[2011,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2012,"Dominican Republic","Planned",14.71,2.78,"UMIC","LAC"]
[2012,"Dominican Republic","Actual","NULL",2.72,"UMIC","LAC"]
[2013,"Dominican Republic","Planned",20.440000000000001,4.1399999999999997,"UMIC","LAC"]
[2013,"Dominican Republic","Actual","NULL",3.95,"UMIC","LAC"]
[2014,"Dominican Republic","Planned",19.25,4.03,"UMIC","LAC"]
[2014,"Dominican Republic","Actual","NULL",3.84,"UMIC","LAC"]
[2015,"Dominican Republic","Planned",19.73,3.88,"UMIC","LAC"]
[2015,"Dominican Republic","Actual","NULL",3.82,"UMIC","LAC"]
[2016,"Dominican Republic","Planned",20.53,3.91,"UMIC","LAC"]
[2016,"Dominican Republic","Actual","NULL",3.85,"UMIC","LAC"]
[2017,"Dominican Republic","Planned",21.18,3.96,"UMIC","LAC"]
[2017,"Dominican Republic","Actual","NULL",3.92,"UMIC","LAC"]
[2018,"Dominican Republic","Planned",23.34,3.8,"UMIC","LAC"]
[2018,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Dominican Republic","Planned",20.100000000000001,4.07,"UMIC","LAC"]
[2008,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Ecuador","Planned",12.58,4.21,"UMIC","LAC"]
[2011,"Ecuador","Actual","NULL",4.2,"UMIC","LAC"]
[2012,"Ecuador","Planned",12.39,4.2300000000000004,"UMIC","LAC"]
[2012,"Ecuador","Actual","NULL",4.0199999999999996,"UMIC","LAC"]
[2013,"Ecuador","Planned",14.52,4.68,"UMIC","LAC"]
[2013,"Ecuador","Actual",14.62,4.75,"UMIC","LAC"]
[2014,"Ecuador","Planned",15.67,4.8099999999999996,"UMIC","LAC"]
[2014,"Ecuador","Actual",14.2,4.54,"UMIC","LAC"]
[2015,"Ecuador","Planned",14.39,5.26,"UMIC","LAC"]
[2015,"Ecuador","Actual",15.13,4.58,"UMIC","LAC"]
[2016,"Ecuador","Planned",16.75,5,"UMIC","LAC"]
[2016,"Ecuador","Actual","NULL",4.53,"UMIC","LAC"]
[2017,"Ecuador","Planned",14.12,4.99,"UMIC","LAC"]
[2017,"Ecuador","Actual",14.3,4.76,"UMIC","LAC"]
[2018,"Ecuador","Planned",16.649999999999999,5.35,"UMIC","LAC"]
[2018,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Ecuador","Planned",15.29,5.04,"UMIC","LAC"]
[2008,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2008,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2009,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2009,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2010,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2010,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2011,"El Salvador","Planned",13.82,3.47,"LMIC","LAC"]
[2011,"El Salvador","Actual",14.91,3.77,"LMIC","LAC"]
[2012,"El Salvador","Planned",15.21,3.7,"LMIC","LAC"]
[2012,"El Salvador","Actual",15.17,3.85,"LMIC","LAC"]
[2013,"El Salvador","Planned",15.01,3.93,"LMIC","LAC"]
[2013,"El Salvador","Actual",15.16,3.91,"LMIC","LAC"]
[2014,"El Salvador","Planned",15.39,3.92,"LMIC","LAC"]
[2014,"El Salvador","Actual",15.56,3.87,"LMIC","LAC"]
[2015,"El Salvador","Planned",14.99,3.92,"LMIC","LAC"]
[2015,"El Salvador","Actual",15.97,3.95,"LMIC","LAC"]
[2016,"El Salvador","Planned",14.9,3.9,"LMIC","LAC"]
[2016,"El Salvador","Actual",15.52,3.9,"LMIC","LAC"]
[2017,"El Salvador","Planned",14.08,3.79,"LMIC","LAC"]
[2017,"El Salvador","Actual",15.35,3.83,"LMIC","LAC"]
[2018,"El Salvador","Planned",14.27,3.58,"LMIC","LAC"]
[2018,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2019,"El Salvador","Planned",14.5,3.71,"LMIC","LAC"]
[2008,"Eswatini","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Eswatini","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Eswatini","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Eswatini","Planned",18.05,5.15,"LMIC","Africa"]
[2011,"Eswatini","Actual",20.02,6.04,"LMIC","Africa"]
[2012,"Eswatini","Planned",20.5,5.38,"LMIC","Africa"]
[2012,"Eswatini","Actual",25.66,5.69,"LMIC","Africa"]
[2013,"Eswatini","Planned",17.850000000000001,4.74,"LMIC","Africa"]
[2013,"Eswatini","Actual",23,5.29,"LMIC","Africa"]
[2014,"Eswatini","Planned",19.89,5.37,"LMIC","Africa"]
[2014,"Eswatini","Actual",17.850000000000001,4.7,"LMIC","Africa"]
[2015,"Eswatini","Planned",17.25,4.97,"LMIC","Africa"]
[2015,"Eswatini","Actual",19.22,5.54,"LMIC","Africa"]
[2016,"Eswatini","Planned",20.59,5.74,"LMIC","Africa"]
[2016,"Eswatini","Actual",19.329999999999998,5.75,"LMIC","Africa"]
[2017,"Eswatini","Planned",17.16,5.91,"LMIC","Africa"]
[2017,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Eswatini","Planned",17.16,5.88,"LMIC","Africa"]
[2018,"Eswatini","Actual",21.66,6.68,"LMIC","Africa"]
[2019,"Eswatini","Planned",20.98,6.17,"LMIC","Africa"]
[2019,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2008,"Ethiopia","Planned",19.98,4.58,"LIC","Africa"]
[2008,"Ethiopia","Actual",21.34,4.37,"LIC","Africa"]
[2009,"Ethiopia","Planned",20.95,4.05,"LIC","Africa"]
[2009,"Ethiopia","Actual",21.8,3.8,"LIC","Africa"]
[2010,"Ethiopia","Planned",23.56,4.6900000000000004,"LIC","Africa"]
[2010,"Ethiopia","Actual",23.65,4.45,"LIC","Africa"]
[2011,"Ethiopia","Planned",26.65,4.8499999999999996,"LIC","Africa"]
[2011,"Ethiopia","Actual",24.88,4.6100000000000003,"LIC","Africa"]
[2012,"Ethiopia","Planned",22.65,4.24,"LIC","Africa"]
[2012,"Ethiopia","Actual","NULL","NULL","LIC","Africa"]
[2013,"Ethiopia","Planned",22.72,4.4000000000000004,"LIC","Africa"]
[2013,"Ethiopia","Actual","NULL","NULL","LIC","Africa"]
[2014,"Ethiopia","Planned",23.05,4.22,"LIC","Africa"]
[2014,"Ethiopia","Actual",22.92,4.01,"LIC","Africa"]
[2015,"Ethiopia","Planned",21.73,3.85,"LIC","Africa"]
[2015,"Ethiopia","Actual",24.85,4.41,"LIC","Africa"]
[2016,"Ethiopia","Planned",24.06,4.41,"LIC","Africa"]
[2016,"Ethiopia","Actual",22.52,4.3099999999999996,"LIC","Africa"]
[2017,"Ethiopia","Planned",23.3,4.49,"LIC","Africa"]
[2017,"Ethiopia","Actual",26.08,4.76,"LIC","Africa"]
[2018,"Ethiopia","Planned",24.54,4.47,"LIC","Africa"]
[2018,"Ethiopia","Actual","NULL",4.1500000000000004,"LIC","Africa"]
[2019,"Ethiopia","Planned",25.48,3.83,"LIC","Africa"]
[2008,"Fiji","Planned","NULL","NULL","UMIC","Asia"]
[2008,"Fiji","Actual","NULL","NULL","UMIC","Asia"]
[2009,"Fiji","Planned","NULL","NULL","UMIC","Asia"]
[2009,"Fiji","Actual","NULL","NULL","UMIC","Asia"]
[2010,"Fiji","Planned","NULL","NULL","UMIC","Asia"]
[2010,"Fiji","Actual",17.87,4.57,"UMIC","Asia"]
[2011,"Fiji","Planned",15.9,4.25,"UMIC","Asia"]
[2011,"Fiji","Actual",16.63,4.3,"UMIC","Asia"]
[2012,"Fiji","Planned",15.55,4.2,"UMIC","Asia"]
[2012,"Fiji","Actual",16.670000000000002,4.34,"UMIC","Asia"]
[2013,"Fiji","Planned",14.35,4,"UMIC","Asia"]
[2013,"Fiji","Actual",16.170000000000002,4.12,"UMIC","Asia"]
[2014,"Fiji","Planned",15.7,4.9400000000000004,"UMIC","Asia"]
[2014,"Fiji","Actual",16.87,5.01,"UMIC","Asia"]
[2015,"Fiji","Planned",14.49,4.92,"UMIC","Asia"]
[2015,"Fiji","Actual",17.27,4.78,"UMIC","Asia"]
[2016,"Fiji","Planned",14.81,4.9000000000000004,"UMIC","Asia"]
[2016,"Fiji","Actual",15.39,4.83,"UMIC","Asia"]
[2017,"Fiji","Planned",14.78,4.8600000000000003,"UMIC","Asia"]
[2017,"Fiji","Actual",17.16,4.6900000000000004,"UMIC","Asia"]
[2018,"Fiji","Planned",13.82,5.13,"UMIC","Asia"]
[2018,"Fiji","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Fiji","Planned",14.8,5.37,"UMIC","Asia"]
[2008,"Gambia, The","Planned",12.9,1.94,"LIC","Africa"]
[2008,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2009,"Gambia, The","Planned",16.02,2.2200000000000002,"LIC","Africa"]
[2009,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2010,"Gambia, The","Planned",18.53,2.4700000000000002,"LIC","Africa"]
[2010,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2011,"Gambia, The","Planned",18.149999999999999,2.67,"LIC","Africa"]
[2011,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2012,"Gambia, The","Planned",12.95,2.09,"LIC","Africa"]
[2012,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2013,"Gambia, The","Planned","NULL","NULL","LIC","Africa"]
[2013,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2014,"Gambia, The","Planned","NULL",1.95,"LIC","Africa"]
[2014,"Gambia, The","Actual",8.65,1.88,"LIC","Africa"]
[2015,"Gambia, The","Planned",10.26,2.0099999999999998,"LIC","Africa"]
[2015,"Gambia, The","Actual",9.94,1.95,"LIC","Africa"]
[2016,"Gambia, The","Planned","NULL","NULL","LIC","Africa"]
[2016,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2017,"Gambia, The","Planned","NULL","NULL","LIC","Africa"]
[2017,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2018,"Gambia, The","Planned",14.38,3.77,"LIC","Africa"]
[2018,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2019,"Gambia, The","Planned",15.46,4.9800000000000004,"LIC","Africa"]
[2008,"Ghana","Planned",19.559999999999999,3.11,"LMIC","Africa"]
[2008,"Ghana","Actual",20.03,3.95,"LMIC","Africa"]
[2009,"Ghana","Planned",19.16,3.46,"LMIC","Africa"]
[2009,"Ghana","Actual",23.36,3.98,"LMIC","Africa"]
[2010,"Ghana","Planned",18.86,3.34,"LMIC","Africa"]
[2010,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Ghana","Planned",15.57,2.4500000000000002,"LMIC","Africa"]
[2011,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Ghana","Planned",16.399999999999999,2.83,"LMIC","Africa"]
[2012,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Ghana","Planned",15.67,3.57,"LMIC","Africa"]
[2013,"Ghana","Actual",17.63,3.75,"LMIC","Africa"]
[2014,"Ghana","Planned",18.29,3.74,"LMIC","Africa"]
[2014,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Ghana","Planned",17.22,3.74,"LMIC","Africa"]
[2015,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Ghana","Planned",17.36,3.51,"LMIC","Africa"]
[2016,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Ghana","Planned",15.31,3.25,"LMIC","Africa"]
[2017,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Ghana","Planned",15.14,3.08,"LMIC","Africa"]
[2018,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Ghana","Planned",17.71,3.7,"LMIC","Africa"]
[2008,"Guatemala","Planned",21.05,2.86,"UMIC","LAC"]
[2008,"Guatemala","Actual",19.579999999999998,2.67,"UMIC","LAC"]
[2009,"Guatemala","Planned",20.64,3.19,"UMIC","LAC"]
[2009,"Guatemala","Actual",22.9,3.25,"UMIC","LAC"]
[2010,"Guatemala","Planned",21.54,2.95,"UMIC","LAC"]
[2010,"Guatemala","Actual",20.59,2.99,"UMIC","LAC"]
[2011,"Guatemala","Planned",20.48,2.8,"UMIC","LAC"]
[2011,"Guatemala","Actual",20.2,2.91,"UMIC","LAC"]
[2012,"Guatemala","Planned",21.85,3.15,"UMIC","LAC"]
[2012,"Guatemala","Actual",21.09,2.96,"UMIC","LAC"]
[2013,"Guatemala","Planned",20.65,3.1,"UMIC","LAC"]
[2013,"Guatemala","Actual",21.31,2.93,"UMIC","LAC"]
[2014,"Guatemala","Planned",22.17,3.26,"UMIC","LAC"]
[2014,"Guatemala","Actual",21.81,2.92,"UMIC","LAC"]
[2015,"Guatemala","Planned",21.93,3.07,"UMIC","LAC"]
[2015,"Guatemala","Actual",22.31,2.74,"UMIC","LAC"]
[2016,"Guatemala","Planned",24.04,3.06,"UMIC","LAC"]
[2016,"Guatemala","Actual",23.72,2.87,"UMIC","LAC"]
[2017,"Guatemala","Planned",22.41,3.11,"UMIC","LAC"]
[2017,"Guatemala","Actual",22.17,2.84,"UMIC","LAC"]
[2018,"Guatemala","Planned",22.41,2.92,"UMIC","LAC"]
[2018,"Guatemala","Actual",23.33,2.98,"UMIC","LAC"]
[2019,"Guatemala","Planned",22.25,2.61,"UMIC","LAC"]
[2008,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2008,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2009,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2009,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2010,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2010,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2011,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2011,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2012,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2012,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2013,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2013,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2014,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2014,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2015,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2015,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2016,"Guinea","Planned",18.809999999999999,3.08,"LIC","Africa"]
[2016,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2017,"Guinea","Planned",17.45,2.77,"LIC","Africa"]
[2017,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2018,"Guinea","Planned",14.66,2.71,"LIC","Africa"]
[2018,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2019,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2008,"Guinea-Bissau","Planned",11.42,2.2200000000000002,"LIC","Africa"]
[2008,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2009,"Guinea-Bissau","Planned",6.11,1.82,"LIC","Africa"]
[2009,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2010,"Guinea-Bissau","Planned",11.4,2.7,"LIC","Africa"]
[2010,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2011,"Guinea-Bissau","Planned",12.64,2.2799999999999998,"LIC","Africa"]
[2011,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2012,"Guinea-Bissau","Planned",11.74,2.65,"LIC","Africa"]
[2012,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2013,"Guinea-Bissau","Planned",11.31,2.23,"LIC","Africa"]
[2013,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2014,"Guinea-Bissau","Planned",14.25,2.65,"LIC","Africa"]
[2014,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2015,"Guinea-Bissau","Planned",12.6,2.38,"LIC","Africa"]
[2015,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2016,"Guinea-Bissau","Planned","NULL","NULL","LIC","Africa"]
[2016,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2017,"Guinea-Bissau","Planned","NULL","NULL","LIC","Africa"]
[2017,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2018,"Guinea-Bissau","Planned","NULL","NULL","LIC","Africa"]
[2018,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2019,"Guinea-Bissau","Planned","NULL","NULL","LIC","Africa"]
[2008,"Guyana","Planned",16.48,4.8600000000000003,"UMIC","LAC"]
[2008,"Guyana","Actual",16.13,4.71,"UMIC","LAC"]
[2009,"Guyana","Planned",16.02,4.96,"UMIC","LAC"]
[2009,"Guyana","Actual",15.92,4.91,"UMIC","LAC"]
[2010,"Guyana","Planned",15.72,4.6399999999999997,"UMIC","LAC"]
[2010,"Guyana","Actual",16.39,4.74,"UMIC","LAC"]
[2011,"Guyana","Planned",15.43,4.63,"UMIC","LAC"]
[2011,"Guyana","Actual",16.329999999999998,4.68,"UMIC","LAC"]
[2012,"Guyana","Planned",12.83,4.16,"UMIC","LAC"]
[2012,"Guyana","Actual",15.47,4.53,"UMIC","LAC"]
[2013,"Guyana","Planned",14,4.68,"UMIC","LAC"]
[2013,"Guyana","Actual",16.54,4.6399999999999997,"UMIC","LAC"]
[2014,"Guyana","Planned",14.96,5.08,"UMIC","LAC"]
[2014,"Guyana","Actual",17.899999999999999,5.21,"UMIC","LAC"]
[2015,"Guyana","Planned",17.170000000000002,5,"UMIC","LAC"]
[2015,"Guyana","Actual",17.829999999999998,4.82,"UMIC","LAC"]
[2016,"Guyana","Planned",18.05,5.57,"UMIC","LAC"]
[2016,"Guyana","Actual",17.809999999999999,5.34,"UMIC","LAC"]
[2017,"Guyana","Planned",17.77,5.79,"UMIC","LAC"]
[2017,"Guyana","Actual",17.12,5.52,"UMIC","LAC"]
[2018,"Guyana","Planned",17.899999999999999,5.71,"UMIC","LAC"]
[2018,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Guyana","Planned",17.940000000000001,6.12,"UMIC","LAC"]
[2008,"Haiti","Planned",10.07,3.09,"LIC","LAC"]
[2008,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2009,"Haiti","Planned",9.77,2.8,"LIC","LAC"]
[2009,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2010,"Haiti","Planned",9.32,3.08,"LIC","LAC"]
[2010,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2011,"Haiti","Planned",10.64,3.69,"LIC","LAC"]
[2011,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2012,"Haiti","Planned",17.41,6.26,"LIC","LAC"]
[2012,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2013,"Haiti","Planned",16.059999999999999,5.71,"LIC","LAC"]
[2013,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2014,"Haiti","Planned",11.97,3.78,"LIC","LAC"]
[2014,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2015,"Haiti","Planned",18.32,5.12,"LIC","LAC"]
[2015,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2016,"Haiti","Planned",18.27,4.54,"LIC","LAC"]
[2016,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2017,"Haiti","Planned",18.760000000000002,3.99,"LIC","LAC"]
[2017,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2018,"Haiti","Planned",19.96,4.71,"LIC","LAC"]
[2018,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2019,"Haiti","Planned",14.39,3.77,"LIC","LAC"]
[2008,"Honduras","Planned",31.23,6.86,"LMIC","LAC"]
[2008,"Honduras","Actual",31.89,7.13,"LMIC","LAC"]
[2009,"Honduras","Planned",31.31,7.32,"LMIC","LAC"]
[2009,"Honduras","Actual",33.65,7.77,"LMIC","LAC"]
[2010,"Honduras","Planned",32.79,7.36,"LMIC","LAC"]
[2010,"Honduras","Actual",33.090000000000003,7.17,"LMIC","LAC"]
[2011,"Honduras","Planned",32.29,6.49,"LMIC","LAC"]
[2011,"Honduras","Actual",29.89,6.44,"LMIC","LAC"]
[2012,"Honduras","Planned",32.5,6.42,"LMIC","LAC"]
[2012,"Honduras","Actual",27.8,6.3,"LMIC","LAC"]
[2013,"Honduras","Planned",13.05,5.73,"LMIC","LAC"]
[2013,"Honduras","Actual",14.43,6.24,"LMIC","LAC"]
[2014,"Honduras","Planned",16.440000000000001,7.29,"LMIC","LAC"]
[2014,"Honduras","Actual",16.41,7.19,"LMIC","LAC"]
[2015,"Honduras","Planned",14.88,6,"LMIC","LAC"]
[2015,"Honduras","Actual",16.43,6.48,"LMIC","LAC"]
[2016,"Honduras","Planned",15.68,6.52,"LMIC","LAC"]
[2016,"Honduras","Actual",13.83,6.34,"LMIC","LAC"]
[2017,"Honduras","Planned",14.48,6.11,"LMIC","LAC"]
[2017,"Honduras","Actual",15.07,6.14,"LMIC","LAC"]
[2018,"Honduras","Planned",15.1,6.4,"LMIC","LAC"]
[2018,"Honduras","Actual",15.37,6.37,"LMIC","LAC"]
[2019,"Honduras","Planned",14.84,6.35,"LMIC","LAC"]
[2008,"India","Planned",10.44,2.39,"LMIC","Asia"]
[2008,"India","Actual",10.08,2.2200000000000002,"LMIC","Asia"]
[2009,"India","Planned",11.09,2.5099999999999998,"LMIC","Asia"]
[2009,"India","Actual",10.45,2.44,"LMIC","Asia"]
[2010,"India","Planned",10.95,2.5299999999999998,"LMIC","Asia"]
[2010,"India","Actual",10.95,2.5499999999999998,"LMIC","Asia"]
[2011,"India","Planned",11.5,2.62,"LMIC","Asia"]
[2011,"India","Actual",11.66,2.82,"LMIC","Asia"]
[2012,"India","Planned",12.25,2.91,"LMIC","Asia"]
[2012,"India","Actual",11.88,2.82,"LMIC","Asia"]
[2013,"India","Planned",11.86,2.99,"LMIC","Asia"]
[2013,"India","Actual",11.97,2.82,"LMIC","Asia"]
[2014,"India","Planned",11.85,3.05,"LMIC","Asia"]
[2014,"India","Actual",11.93,2.83,"LMIC","Asia"]
[2015,"India","Planned",11.47,2.95,"LMIC","Asia"]
[2015,"India","Actual",9.2100000000000009,2.5499999999999998,"LMIC","Asia"]
[2016,"India","Planned",11.59,2.87,"LMIC","Asia"]
[2016,"India","Actual",9.7200000000000006,2.5299999999999998,"LMIC","Asia"]
[2017,"India","Planned",9.56,2.76,"LMIC","Asia"]
[2017,"India","Actual",9.02,2.52,"LMIC","Asia"]
[2018,"India","Planned",9.39,2.66,"LMIC","Asia"]
[2018,"India","Actual",8.89,2.52,"LMIC","Asia"]
[2019,"India","Planned",9.0500000000000007,2.76,"LMIC","Asia"]
[2019,"India","Actual","NULL","NULL","LMIC","Asia"]
[2008,"Jamaica","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Jamaica","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Jamaica","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Jamaica","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Jamaica","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Jamaica","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Jamaica","Planned",17.350000000000001,5.68,"UMIC","LAC"]
[2011,"Jamaica","Actual",14.21,5.7,"UMIC","LAC"]
[2012,"Jamaica","Planned",17.079999999999998,5.4,"UMIC","LAC"]
[2012,"Jamaica","Actual",16.920000000000002,5.31,"UMIC","LAC"]
[2013,"Jamaica","Planned",17.89,5.25,"UMIC","LAC"]
[2013,"Jamaica","Actual",19.399999999999999,5.59,"UMIC","LAC"]
[2014,"Jamaica","Planned",18.18,5.01,"UMIC","LAC"]
[2014,"Jamaica","Actual",21.67,5.46,"UMIC","LAC"]
[2015,"Jamaica","Planned",17.579999999999998,4.76,"UMIC","LAC"]
[2015,"Jamaica","Actual",19.690000000000001,5.09,"UMIC","LAC"]
[2016,"Jamaica","Planned",17.489999999999998,4.74,"UMIC","LAC"]
[2016,"Jamaica","Actual",19.600000000000001,5.09,"UMIC","LAC"]
[2017,"Jamaica","Planned",18.54,4.82,"UMIC","LAC"]
[2017,"Jamaica","Actual",19.02,5.01,"UMIC","LAC"]
[2018,"Jamaica","Planned",18.57,4.91,"UMIC","LAC"]
[2018,"Jamaica","Actual",18.25,5.0999999999999996,"UMIC","LAC"]
[2019,"Jamaica","Planned",16.95,4.8899999999999997,"UMIC","LAC"]
[2019,"Jamaica","Actual","NULL","NULL","UMIC","LAC"]
[2008,"Jordan","Planned","NULL","NULL","UMIC","Middle East"]
[2008,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2009,"Jordan","Planned","NULL","NULL","UMIC","Middle East"]
[2009,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2010,"Jordan","Planned","NULL","NULL","UMIC","Middle East"]
[2010,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2011,"Jordan","Planned",12.74,3.94,"UMIC","Middle East"]
[2011,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2012,"Jordan","Planned",12.02,3.69,"UMIC","Middle East"]
[2012,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2013,"Jordan","Planned",13.16,4.0599999999999996,"UMIC","Middle East"]
[2013,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2014,"Jordan","Planned",12.67,3.98,"UMIC","Middle East"]
[2014,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2015,"Jordan","Planned",13.16,3.85,"UMIC","Middle East"]
[2015,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2016,"Jordan","Planned",12.5,3.82,"UMIC","Middle East"]
[2016,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2017,"Jordan","Planned",11.79,3.6,"UMIC","Middle East"]
[2017,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2018,"Jordan","Planned",12.08,3.63,"UMIC","Middle East"]
[2018,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2019,"Jordan","Planned",12.54,3.71,"UMIC","Middle East"]
[2008,"Kenya","Planned",20.63,6.1,"LMIC","Africa"]
[2008,"Kenya","Actual",22.35,6.09,"LMIC","Africa"]
[2009,"Kenya","Planned",20.77,6.42,"LMIC","Africa"]
[2009,"Kenya","Actual",23,6.3,"LMIC","Africa"]
[2010,"Kenya","Planned",20.76,6.52,"LMIC","Africa"]
[2010,"Kenya","Actual",22.35,6.59,"LMIC","Africa"]
[2011,"Kenya","Planned",20.74,6.83,"LMIC","Africa"]
[2011,"Kenya","Actual",21.79,6.35,"LMIC","Africa"]
[2012,"Kenya","Planned",17.52,6.24,"LMIC","Africa"]
[2012,"Kenya","Actual",20.49,5.99,"LMIC","Africa"]
[2013,"Kenya","Planned",16.04,5.21,"LMIC","Africa"]
[2013,"Kenya","Actual",16.8,4.3099999999999996,"LMIC","Africa"]
[2014,"Kenya","Planned",16.059999999999999,5.46,"LMIC","Africa"]
[2014,"Kenya","Actual",17.989999999999998,5.17,"LMIC","Africa"]
[2015,"Kenya","Planned",17.18,5.37,"LMIC","Africa"]
[2015,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Kenya","Planned",16.760000000000002,5.22,"LMIC","Africa"]
[2016,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Kenya","Planned",14.91,4.49,"LMIC","Africa"]
[2017,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Kenya","Planned",17.170000000000002,4.7300000000000004,"LMIC","Africa"]
[2018,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Kenya","Planned",16.63,4.74,"LMIC","Africa"]
[2008,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Kiribati","Planned",17.68,14.9,"LMIC","Asia"]
[2010,"Kiribati","Actual",15.67,12.88,"LMIC","Asia"]
[2011,"Kiribati","Planned",13.75,13.19,"LMIC","Asia"]
[2011,"Kiribati","Actual",16.22,12.84,"LMIC","Asia"]
[2012,"Kiribati","Planned",16.89,17.82,"LMIC","Asia"]
[2012,"Kiribati","Actual",12.17,10.86,"LMIC","Asia"]
[2013,"Kiribati","Planned",12.33,12.53,"LMIC","Asia"]
[2013,"Kiribati","Actual",13.71,12.84,"LMIC","Asia"]
[2014,"Kiribati","Planned",15,15.3,"LMIC","Asia"]
[2014,"Kiribati","Actual",12.38,14.6,"LMIC","Asia"]
[2015,"Kiribati","Planned",15.4,13.75,"LMIC","Asia"]
[2015,"Kiribati","Actual",9.83,10.99,"LMIC","Asia"]
[2016,"Kiribati","Planned",11.05,13.77,"LMIC","Asia"]
[2016,"Kiribati","Actual",9.3000000000000007,12.06,"LMIC","Asia"]
[2017,"Kiribati","Planned",12.25,15.1,"LMIC","Asia"]
[2017,"Kiribati","Actual",11.21,13.56,"LMIC","Asia"]
[2018,"Kiribati","Planned",13.03,16.05,"LMIC","Asia"]
[2018,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Kiribati","Planned",9.66,16.16,"LMIC","Asia"]
[2008,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2008,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2009,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2009,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2010,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2010,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2011,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2011,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2012,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2012,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2013,"Kosovo","Planned",14.93,4.4400000000000004,"UMIC","Europe"]
[2013,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2014,"Kosovo","Planned",15.35,4.38,"UMIC","Europe"]
[2014,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2015,"Kosovo","Planned",15.79,4.57,"UMIC","Europe"]
[2015,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2016,"Kosovo","Planned",15.88,4.4000000000000004,"UMIC","Europe"]
[2016,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2017,"Kosovo","Planned",13.82,4.3099999999999996,"UMIC","Europe"]
[2017,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2018,"Kosovo","Planned",14.28,4.42,"UMIC","Europe"]
[2018,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2019,"Kosovo","Planned",13.65,4.53,"UMIC","Europe"]
[2008,"Kyrgyz Republic","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Kyrgyz Republic","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Kyrgyz Republic","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Kyrgyz Republic","Planned",22.11,6.66,"LMIC","Asia"]
[2011,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Kyrgyz Republic","Planned",21.54,7.27,"LMIC","Asia"]
[2012,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Kyrgyz Republic","Planned",22.56,6.75,"LMIC","Asia"]
[2013,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Kyrgyz Republic","Planned",22.38,6.41,"LMIC","Asia"]
[2014,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Kyrgyz Republic","Planned",19.55,5.99,"LMIC","Asia"]
[2015,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Kyrgyz Republic","Planned",14.71,4.54,"LMIC","Asia"]
[2016,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Kyrgyz Republic","Planned",18.670000000000002,5.28,"LMIC","Asia"]
[2017,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Kyrgyz Republic","Planned",17.45,5.33,"LMIC","Asia"]
[2018,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Kyrgyz Republic","Planned",16.940000000000001,5.01,"LMIC","Asia"]
[2008,"Lesotho","Planned",20.25,9.42,"LMIC","Africa"]
[2008,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Lesotho","Planned",20.14,11.29,"LMIC","Africa"]
[2009,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Lesotho","Planned",15.96,10.220000000000001,"LMIC","Africa"]
[2010,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Lesotho","Planned",16.29,8.07,"LMIC","Africa"]
[2011,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Lesotho","Planned",15.47,8.7100000000000009,"LMIC","Africa"]
[2012,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Lesotho","Planned",15.14,8.27,"LMIC","Africa"]
[2013,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Lesotho","Planned",13.5,6.75,"LMIC","Africa"]
[2014,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Lesotho","Planned",14.7,7.06,"LMIC","Africa"]
[2015,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Lesotho","Planned",15.1,6.57,"LMIC","Africa"]
[2016,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Lesotho","Planned",14.23,6.85,"LMIC","Africa"]
[2017,"Lesotho","Actual",12.98,6.49,"LMIC","Africa"]
[2018,"Lesotho","Planned",13.52,6.52,"LMIC","Africa"]
[2018,"Lesotho","Actual",13.32,6.46,"LMIC","Africa"]
[2019,"Lesotho","Planned",12.98,5.93,"LMIC","Africa"]
[2008,"Liberia","Planned",11.42,1.28,"LIC","Africa"]
[2008,"Liberia","Actual",12.15,1.42,"LIC","Africa"]
[2009,"Liberia","Planned",11.69,1.96,"LIC","Africa"]
[2009,"Liberia","Actual",12.69,1.78,"LIC","Africa"]
[2010,"Liberia","Planned",12.48,2.15,"LIC","Africa"]
[2010,"Liberia","Actual",13.57,1.9,"LIC","Africa"]
[2011,"Liberia","Planned",14.34,2.21,"LIC","Africa"]
[2011,"Liberia","Actual",13.32,2.13,"LIC","Africa"]
[2012,"Liberia","Planned",13.53,2.57,"LIC","Africa"]
[2012,"Liberia","Actual",15.51,2.7,"LIC","Africa"]
[2013,"Liberia","Planned",14.69,2.48,"LIC","Africa"]
[2013,"Liberia","Actual",13.63,2.5299999999999998,"LIC","Africa"]
[2014,"Liberia","Planned",14.92,2.3199999999999998,"LIC","Africa"]
[2014,"Liberia","Actual",16.07,2.2000000000000002,"LIC","Africa"]
[2015,"Liberia","Planned",10.33,2.0699999999999998,"LIC","Africa"]
[2015,"Liberia","Actual",11.02,2.16,"LIC","Africa"]
[2016,"Liberia","Planned",13.47,2.56,"LIC","Africa"]
[2016,"Liberia","Actual",11.02,2.08,"LIC","Africa"]
[2017,"Liberia","Planned",14.36,2.62,"LIC","Africa"]
[2017,"Liberia","Actual",13.74,2.3199999999999998,"LIC","Africa"]
[2018,"Liberia","Planned",14.69,2.5499999999999998,"LIC","Africa"]
[2018,"Liberia","Actual","NULL","NULL","LIC","Africa"]
[2019,"Liberia","Planned",18.010000000000002,2.65,"LIC","Africa"]
[2008,"Madagascar","Planned",17.27,3.55,"LIC","Africa"]
[2008,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2009,"Madagascar","Planned",17.45,3.96,"LIC","Africa"]
[2009,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2010,"Madagascar","Planned",18.91,3.37,"LIC","Africa"]
[2010,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2011,"Madagascar","Planned",20.56,3.61,"LIC","Africa"]
[2011,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2012,"Madagascar","Planned",20.54,2.88,"LIC","Africa"]
[2012,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2013,"Madagascar","Planned",21.14,2.82,"LIC","Africa"]
[2013,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2014,"Madagascar","Planned",23.73,3.2,"LIC","Africa"]
[2014,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2015,"Madagascar","Planned",19.21,3.15,"LIC","Africa"]
[2015,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2016,"Madagascar","Planned",19.559999999999999,3.15,"LIC","Africa"]
[2016,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2017,"Madagascar","Planned",16.329999999999998,3.1,"LIC","Africa"]
[2017,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2018,"Madagascar","Planned",18.03,3.39,"LIC","Africa"]
[2018,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2019,"Madagascar","Planned",18.54,3.34,"LIC","Africa"]
[2008,"Malawi","Planned","NULL",3.54,"LIC","Africa"]
[2008,"Malawi","Actual","NULL",2.92,"LIC","Africa"]
[2009,"Malawi","Planned",12.7,3.55,"LIC","Africa"]
[2009,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2010,"Malawi","Planned",12.48,3.31,"LIC","Africa"]
[2010,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2011,"Malawi","Planned",13.99,3.61,"LIC","Africa"]
[2011,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2012,"Malawi","Planned",18.37,4.05,"LIC","Africa"]
[2012,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2013,"Malawi","Planned",18.46,4.3899999999999997,"LIC","Africa"]
[2013,"Malawi","Actual",17.82,4.99,"LIC","Africa"]
[2014,"Malawi","Planned",16.739999999999998,4.7699999999999996,"LIC","Africa"]
[2014,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2015,"Malawi","Planned",16.39,4.3099999999999996,"LIC","Africa"]
[2015,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2016,"Malawi","Planned",16.86,4.28,"LIC","Africa"]
[2016,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2017,"Malawi","Planned",17.53,4.7,"LIC","Africa"]
[2017,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2018,"Malawi","Planned",16.899999999999999,4.5999999999999996,"LIC","Africa"]
[2018,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2019,"Malawi","Planned",17.399999999999999,4.9000000000000004,"LIC","Africa"]
[2008,"Mali","Planned",19,4.26,"LIC","Africa"]
[2008,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2009,"Mali","Planned",18.899999999999999,4.32,"LIC","Africa"]
[2009,"Mali","Actual",18.059999999999999,4.12,"LIC","Africa"]
[2010,"Mali","Planned",19.62,4.3600000000000003,"LIC","Africa"]
[2010,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2011,"Mali","Planned",20.81,4.43,"LIC","Africa"]
[2011,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2012,"Mali","Planned",20.03,4.68,"LIC","Africa"]
[2012,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2013,"Mali","Planned",29.57,4.78,"LIC","Africa"]
[2013,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2014,"Mali","Planned",20.82,3.93,"LIC","Africa"]
[2014,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2015,"Mali","Planned",20.82,4.13,"LIC","Africa"]
[2015,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2016,"Mali","Planned",20.21,4.24,"LIC","Africa"]
[2016,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2017,"Mali","Planned",17.54,4.46,"LIC","Africa"]
[2017,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2018,"Mali","Planned",17.059999999999999,4.17,"LIC","Africa"]
[2018,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2019,"Mali","Planned",15.7,3.69,"LIC","Africa"]
[2008,"Mauritania","Planned",18.64,49.19,"LMIC","Africa"]
[2008,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Mauritania","Planned",13.83,41.69,"LMIC","Africa"]
[2009,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Mauritania","Planned",13.68,32.51,"LMIC","Africa"]
[2010,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Mauritania","Planned",16.14,31.82,"LMIC","Africa"]
[2011,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Mauritania","Planned",13.01,30.88,"LMIC","Africa"]
[2012,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2013,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Mauritania","Planned",13.07,35.81,"LMIC","Africa"]
[2016,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Mauritania","Planned",16.95,40.58,"LMIC","Africa"]
[2017,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2018,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Moldova","Planned",22.6,7.12,"LMIC","Europe"]
[2008,"Moldova","Actual",19.8,6.86,"LMIC","Europe"]
[2009,"Moldova","Planned",21.29,8.35,"LMIC","Europe"]
[2009,"Moldova","Actual",20.72,7.81,"LMIC","Europe"]
[2010,"Moldova","Planned",23.2,7.95,"LMIC","Europe"]
[2010,"Moldova","Actual",22.42,7.62,"LMIC","Europe"]
[2011,"Moldova","Planned",21.25,7.02,"LMIC","Europe"]
[2011,"Moldova","Actual",21.39,6.95,"LMIC","Europe"]
[2012,"Moldova","Planned",20.72,6.97,"LMIC","Europe"]
[2012,"Moldova","Actual",20.83,7.01,"LMIC","Europe"]
[2013,"Moldova","Planned",18.28,5.95,"LMIC","Europe"]
[2013,"Moldova","Actual",18.22,5.91,"LMIC","Europe"]
[2014,"Moldova","Planned",17.11,5.56,"LMIC","Europe"]
[2014,"Moldova","Actual","NULL","NULL","LMIC","Europe"]
[2015,"Moldova","Planned",15.42,5.31,"LMIC","Europe"]
[2015,"Moldova","Actual",18.260000000000002,5.83,"LMIC","Europe"]
[2016,"Moldova","Planned",16.88,5.54,"LMIC","Europe"]
[2016,"Moldova","Actual",17.54,5.32,"LMIC","Europe"]
[2017,"Moldova","Planned",16.850000000000001,5.38,"LMIC","Europe"]
[2017,"Moldova","Actual",17.66,5.41,"LMIC","Europe"]
[2018,"Moldova","Planned",16.760000000000002,5.49,"LMIC","Europe"]
[2018,"Moldova","Actual","NULL","NULL","LMIC","Europe"]
[2019,"Moldova","Planned",16.2,5.4,"LMIC","Europe"]
[2008,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Mongolia","Planned",14.48,4.95,"LMIC","Asia"]
[2011,"Mongolia","Actual",14.14,5.36,"LMIC","Asia"]
[2012,"Mongolia","Planned",15.89,6.59,"LMIC","Asia"]
[2012,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Mongolia","Planned",14.99,5.82,"LMIC","Asia"]
[2013,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Mongolia","Planned",15.07,4.93,"LMIC","Asia"]
[2014,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Mongolia","Planned",14.94,4.9000000000000004,"LMIC","Asia"]
[2015,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Mongolia","Planned",15.32,5.09,"LMIC","Asia"]
[2016,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Mongolia","Planned",15.61,4.87,"LMIC","Asia"]
[2017,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Mongolia","Planned",14.49,4.3600000000000003,"LMIC","Asia"]
[2018,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Mongolia","Planned",17,5.0199999999999996,"LMIC","Asia"]
[2008,"Mozambique","Planned",20.93,6.14,"LIC","Africa"]
[2008,"Mozambique","Actual",23.04,5.41,"LIC","Africa"]
[2009,"Mozambique","Planned",19.93,6.07,"LIC","Africa"]
[2009,"Mozambique","Actual",20.95,5.52,"LIC","Africa"]
[2010,"Mozambique","Planned",19.57,6.43,"LIC","Africa"]
[2010,"Mozambique","Actual",19.920000000000002,5.95,"LIC","Africa"]
[2011,"Mozambique","Planned",19.32,6.52,"LIC","Africa"]
[2011,"Mozambique","Actual",19.59,6.26,"LIC","Africa"]
[2012,"Mozambique","Planned",17.47,6.15,"LIC","Africa"]
[2012,"Mozambique","Actual",19.43,6.16,"LIC","Africa"]
[2013,"Mozambique","Planned",17.98,6.21,"LIC","Africa"]
[2013,"Mozambique","Actual",17.309999999999999,6.54,"LIC","Africa"]
[2014,"Mozambique","Planned",17.53,7.13,"LIC","Africa"]
[2014,"Mozambique","Actual",17.82,6.89,"LIC","Africa"]
[2015,"Mozambique","Planned",19.760000000000002,7.56,"LIC","Africa"]
[2015,"Mozambique","Actual",19.23,6.52,"LIC","Africa"]
[2016,"Mozambique","Planned",18.77,6.67,"LIC","Africa"]
[2016,"Mozambique","Actual",20.010000000000002,6.42,"LIC","Africa"]
[2017,"Mozambique","Planned",17.73,6,"LIC","Africa"]
[2017,"Mozambique","Actual",19.86,6.1,"LIC","Africa"]
[2018,"Mozambique","Planned",17.37,6,"LIC","Africa"]
[2018,"Mozambique","Actual","NULL","NULL","LIC","Africa"]
[2019,"Mozambique","Planned",16.64,5.99,"LIC","Africa"]
[2008,"Nepal","Planned","NULL","NULL","LIC","Asia"]
[2008,"Nepal","Actual","NULL","NULL","LIC","Asia"]
[2009,"Nepal","Planned",18.66,3.96,"LIC","Asia"]
[2009,"Nepal","Actual",18.75,3.59,"LIC","Asia"]
[2010,"Nepal","Planned",17.72,3.91,"LIC","Asia"]
[2010,"Nepal","Actual",20.83,3.87,"LIC","Asia"]
[2011,"Nepal","Planned",19.21,4.2300000000000004,"LIC","Asia"]
[2011,"Nepal","Actual",20.6,4.0199999999999996,"LIC","Asia"]
[2012,"Nepal","Planned",19.21,4.18,"LIC","Asia"]
[2012,"Nepal","Actual",21.05,4.0599999999999996,"LIC","Asia"]
[2013,"Nepal","Planned",16.8,3.74,"LIC","Asia"]
[2013,"Nepal","Actual",20.67,3.68,"LIC","Asia"]
[2014,"Nepal","Planned",18.46,4.12,"LIC","Asia"]
[2014,"Nepal","Actual",21.02,3.96,"LIC","Asia"]
[2015,"Nepal","Planned",16.68,4.04,"LIC","Asia"]
[2015,"Nepal","Actual",18.649999999999999,3.75,"LIC","Asia"]
[2016,"Nepal","Planned",12.04,4.38,"LIC","Asia"]
[2016,"Nepal","Actual",15.09,4.0199999999999996,"LIC","Asia"]
[2017,"Nepal","Planned",11.04,4.33,"LIC","Asia"]
[2017,"Nepal","Actual",13.11,4.09,"LIC","Asia"]
[2018,"Nepal","Planned",5.09,2.15,"LIC","Asia"]
[2018,"Nepal","Actual","NULL","NULL","LIC","Asia"]
[2019,"Nepal","Planned",10.199999999999999,3.87,"LIC","Asia"]
[2019,"Nepal","Actual","NULL","NULL","LIC","Asia"]
[2008,"Nicaragua","Planned",22.12,3.85,"LMIC","LAC"]
[2008,"Nicaragua","Actual",23.17,3.97,"LMIC","LAC"]
[2009,"Nicaragua","Planned",23.83,4.59,"LMIC","LAC"]
[2009,"Nicaragua","Actual",24.8,4.3899999999999997,"LMIC","LAC"]
[2010,"Nicaragua","Planned",23.51,3.91,"LMIC","LAC"]
[2010,"Nicaragua","Actual",23.83,4.05,"LMIC","LAC"]
[2011,"Nicaragua","Planned",23.03,3.76,"LMIC","LAC"]
[2011,"Nicaragua","Actual",22.43,3.76,"LMIC","LAC"]
[2012,"Nicaragua","Planned",22.58,3.85,"LMIC","LAC"]
[2012,"Nicaragua","Actual",21.51,3.68,"LMIC","LAC"]
[2013,"Nicaragua","Planned",22.79,4.01,"LMIC","LAC"]
[2013,"Nicaragua","Actual",22.47,3.85,"LMIC","LAC"]
[2014,"Nicaragua","Planned",23.67,4.28,"LMIC","LAC"]
[2014,"Nicaragua","Actual",23.08,4.09,"LMIC","LAC"]
[2015,"Nicaragua","Planned",23.67,4.1500000000000004,"LMIC","LAC"]
[2015,"Nicaragua","Actual",22.36,4.09,"LMIC","LAC"]
[2016,"Nicaragua","Planned",23.82,4.51,"LMIC","LAC"]
[2016,"Nicaragua","Actual","NULL","NULL","LMIC","LAC"]
[2017,"Nicaragua","Planned",22.98,4.42,"LMIC","LAC"]
[2017,"Nicaragua","Actual","NULL","NULL","LMIC","LAC"]
[2018,"Nicaragua","Planned","NULL","NULL","LMIC","LAC"]
[2018,"Nicaragua","Actual","NULL","NULL","LMIC","LAC"]
[2019,"Nicaragua","Planned","NULL","NULL","LMIC","LAC"]
[2008,"Niger","Planned",18.64,4.13,"LIC","Africa"]
[2008,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2009,"Niger","Planned",19.25,5.29,"LIC","Africa"]
[2009,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2010,"Niger","Planned",21.66,4.6100000000000003,"LIC","Africa"]
[2010,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2011,"Niger","Planned",18.46,4.67,"LIC","Africa"]
[2011,"Niger","Actual",20.3,4.25,"LIC","Africa"]
[2012,"Niger","Planned",16.690000000000001,4.68,"LIC","Africa"]
[2012,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2013,"Niger","Planned",16.940000000000001,4.71,"LIC","Africa"]
[2013,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2014,"Niger","Planned",18.309999999999999,6.76,"LIC","Africa"]
[2014,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2015,"Niger","Planned","NULL","NULL","LIC","Africa"]
[2015,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2016,"Niger","Planned",21.69,5.65,"LIC","Africa"]
[2016,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2017,"Niger","Planned",19.559999999999999,5.55,"LIC","Africa"]
[2017,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2018,"Niger","Planned",14.74,4.93,"LIC","Africa"]
[2018,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2019,"Niger","Planned",14.59,4.9400000000000004,"LIC","Africa"]
[2008,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Nigeria","Actual",5.85,1.1399999999999999,"LMIC","Africa"]
[2009,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Nigeria","Actual",5.72,0.94,"LMIC","Africa"]
[2010,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Nigeria","Actual",5.86,0.93,"LMIC","Africa"]
[2011,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Nigeria","Actual",5.97,0.92,"LMIC","Africa"]
[2012,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2012,"Nigeria","Actual",6.54,0.91,"LMIC","Africa"]
[2013,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2013,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2016,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2017,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Occupied Palestinian Territory","Planned","NULL","NULL","LMIC","Middle East"]
[2008,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2009,"Occupied Palestinian Territory","Planned","NULL","NULL","LMIC","Middle East"]
[2009,"Occupied Palestinian Territory","Actual",13.56,7.24,"LMIC","Middle East"]
[2010,"Occupied Palestinian Territory","Planned",16.53,7.74,"LMIC","Middle East"]
[2010,"Occupied Palestinian Territory","Actual",15.95,6.45,"LMIC","Middle East"]
[2011,"Occupied Palestinian Territory","Planned","NULL","NULL","LMIC","Middle East"]
[2011,"Occupied Palestinian Territory","Actual",16.46,6.22,"LMIC","Middle East"]
[2012,"Occupied Palestinian Territory","Planned",17.600000000000001,5.46,"LMIC","Middle East"]
[2012,"Occupied Palestinian Territory","Actual",15.95,5.35,"LMIC","Middle East"]
[2013,"Occupied Palestinian Territory","Planned",14.84,4.76,"LMIC","Middle East"]
[2013,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2014,"Occupied Palestinian Territory","Planned",16.86,5.63,"LMIC","Middle East"]
[2014,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2015,"Occupied Palestinian Territory","Planned",13.93,5.52,"LMIC","Middle East"]
[2015,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2016,"Occupied Palestinian Territory","Planned",15.31,5.16,"LMIC","Middle East"]
[2016,"Occupied Palestinian Territory","Actual","NULL",5.26,"LMIC","Middle East"]
[2017,"Occupied Palestinian Territory","Planned",16,5.45,"LMIC","Middle East"]
[2017,"Occupied Palestinian Territory","Actual","NULL",5.16,"LMIC","Middle East"]
[2018,"Occupied Palestinian Territory","Planned",17.02,5.86,"LMIC","Middle East"]
[2018,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2019,"Occupied Palestinian Territory","Planned",18.524883900928792,6.181682501614242,"LMIC","Middle East"]
[2008,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2011,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2012,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2013,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Pakistan","Planned",6.56,1.71,"LMIC","Asia"]
[2014,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Pakistan","Planned",6.9,1.73,"LMIC","Asia"]
[2015,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Pakistan","Planned",6.22,1.59,"LMIC","Asia"]
[2016,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Pakistan","Planned",6.2,1.58,"LMIC","Asia"]
[2017,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Pakistan","Planned",6.12,1.58,"LMIC","Asia"]
[2018,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Pakistan","Planned",6.09,1.53,"LMIC","Asia"]
[2008,"Papua New Guinea","Planned",12.77,2.84,"LMIC","Asia"]
[2008,"Papua New Guinea","Actual",13.9,3.05,"LMIC","Asia"]
[2009,"Papua New Guinea","Planned",13.91,2.9,"LMIC","Asia"]
[2009,"Papua New Guinea","Actual",17.07,3.33,"LMIC","Asia"]
[2010,"Papua New Guinea","Planned",14.76,2.85,"LMIC","Asia"]
[2010,"Papua New Guinea","Actual",16.57,2.97,"LMIC","Asia"]
[2011,"Papua New Guinea","Planned",17.3,3.79,"LMIC","Asia"]
[2011,"Papua New Guinea","Actual",17.88,3.75,"LMIC","Asia"]
[2012,"Papua New Guinea","Planned",17.190000000000001,4.17,"LMIC","Asia"]
[2012,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Papua New Guinea","Planned",16.38,4.47,"LMIC","Asia"]
[2013,"Papua New Guinea","Actual",16.96,4.4400000000000004,"LMIC","Asia"]
[2014,"Papua New Guinea","Planned",15.06,4.03,"LMIC","Asia"]
[2014,"Papua New Guinea","Actual",12.94,3.5,"LMIC","Asia"]
[2015,"Papua New Guinea","Planned",16.329999999999998,4.4000000000000004,"LMIC","Asia"]
[2015,"Papua New Guinea","Actual",16.55,3.79,"LMIC","Asia"]
[2016,"Papua New Guinea","Planned",16.510000000000002,3.75,"LMIC","Asia"]
[2016,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Papua New Guinea","Planned",17.78,3.33,"LMIC","Asia"]
[2017,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Papua New Guinea","Planned",16.670000000000002,3.23,"LMIC","Asia"]
[2018,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Papua New Guinea","Planned",17.5,3.52,"LMIC","Asia"]
[2008,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2011,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2012,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2012,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2013,"Paraguay","Planned",10.31,3.6,"UMIC","LAC"]
[2013,"Paraguay","Actual",12.5,3.33,"UMIC","LAC"]
[2014,"Paraguay","Planned",10.45,3.45,"UMIC","LAC"]
[2014,"Paraguay","Actual",11.66,3.31,"UMIC","LAC"]
[2015,"Paraguay","Planned",10.23,3.63,"UMIC","LAC"]
[2015,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2016,"Paraguay","Planned",10.72,3.48,"UMIC","LAC"]
[2016,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2017,"Paraguay","Planned",11.49,3.48,"UMIC","LAC"]
[2017,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2018,"Paraguay","Planned",12.62,3.65,"UMIC","LAC"]
[2018,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Paraguay","Planned",12.86,3.85,"UMIC","LAC"]
[2008,"Peru","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Peru","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Peru","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Peru","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Peru","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Peru","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Peru","Planned",14.9,2.8,"UMIC","LAC"]
[2011,"Peru","Actual",14.68,2.93,"UMIC","LAC"]
[2012,"Peru","Planned",15.99,3,"UMIC","LAC"]
[2012,"Peru","Actual",14.52,2.95,"UMIC","LAC"]
[2013,"Peru","Planned",15.5,3.08,"UMIC","LAC"]
[2013,"Peru","Actual",14.96,3.18,"UMIC","LAC"]
[2014,"Peru","Planned",15.33,3.17,"UMIC","LAC"]
[2014,"Peru","Actual",15.47,3.48,"UMIC","LAC"]
[2015,"Peru","Planned",17.11,3.67,"UMIC","LAC"]
[2015,"Peru","Actual",16.86,3.76,"UMIC","LAC"]
[2016,"Peru","Planned",18.02,3.8,"UMIC","LAC"]
[2016,"Peru","Actual",17.43,3.65,"UMIC","LAC"]
[2017,"Peru","Planned",18.38,3.75,"UMIC","LAC"]
[2017,"Peru","Actual",17.7,3.84,"UMIC","LAC"]
[2018,"Peru","Planned",17.54,3.72,"UMIC","LAC"]
[2018,"Peru","Actual",16.96,3.68,"UMIC","LAC"]
[2019,"Peru","Planned",18.22,3.95,"UMIC","LAC"]
[2008,"Rwanda","Planned",18.59,4.0999999999999996,"LIC","Africa"]
[2008,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2009,"Rwanda","Planned","NULL","NULL","LIC","Africa"]
[2009,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2010,"Rwanda","Planned",17.07,4.08,"LIC","Africa"]
[2010,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2011,"Rwanda","Planned",14.68,3.5,"LIC","Africa"]
[2011,"Rwanda","Actual",0,0,"LIC","Africa"]
[2012,"Rwanda","Planned",16.87,4.13,"LIC","Africa"]
[2012,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2013,"Rwanda","Planned",16.149999999999999,4.54,"LIC","Africa"]
[2013,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2014,"Rwanda","Planned",15.16,4.59,"LIC","Africa"]
[2014,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2015,"Rwanda","Planned",13.38,3.93,"LIC","Africa"]
[2015,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2016,"Rwanda","Planned",12.18,3.23,"LIC","Africa"]
[2016,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2017,"Rwanda","Planned",11.25,2.88,"LIC","Africa"]
[2017,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2018,"Rwanda","Planned",11.43,2.93,"LIC","Africa"]
[2018,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2019,"Rwanda","Planned",10.76,3.02,"LIC","Africa"]
[2008,"Samoa","Planned","NULL",5.84,"UMIC","Asia"]
[2008,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2009,"Samoa","Planned",14.47,6.95,"UMIC","Asia"]
[2009,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2010,"Samoa","Planned",12.36,6.31,"UMIC","Asia"]
[2010,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2011,"Samoa","Planned",15.82,7.06,"UMIC","Asia"]
[2011,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2012,"Samoa","Planned",16.239999999999998,5.61,"UMIC","Asia"]
[2012,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2013,"Samoa","Planned",16.3,6.1,"UMIC","Asia"]
[2013,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2014,"Samoa","Planned",17.11,6.55,"UMIC","Asia"]
[2014,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2015,"Samoa","Planned",18.239999999999998,5.34,"UMIC","Asia"]
[2015,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2016,"Samoa","Planned",12.15,4.6399999999999997,"UMIC","Asia"]
[2016,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2017,"Samoa","Planned",13.71,5.75,"UMIC","Asia"]
[2017,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2018,"Samoa","Planned",11.05,4.62,"UMIC","Asia"]
[2018,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Samoa","Planned",11.88,4.71,"UMIC","Asia"]
[2008,"Sao Tome and Principe","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Sao Tome and Principe","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Sao Tome and Principe","Planned",13.14,8.73,"LMIC","Africa"]
[2010,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Sao Tome and Principe","Planned",11.68,8.6,"LMIC","Africa"]
[2011,"Sao Tome and Principe","Actual",15.77,8.89,"LMIC","Africa"]
[2012,"Sao Tome and Principe","Planned",11.05,6.23,"LMIC","Africa"]
[2012,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Sao Tome and Principe","Planned",12.41,6.01,"LMIC","Africa"]
[2013,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Sao Tome and Principe","Planned",13.04,5.95,"LMIC","Africa"]
[2014,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Sao Tome and Principe","Planned",13.01,5.5,"LMIC","Africa"]
[2015,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Sao Tome and Principe","Planned",13.12,6.04,"LMIC","Africa"]
[2016,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Sao Tome and Principe","Planned",16.079999999999998,6.03,"LMIC","Africa"]
[2017,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Sao Tome and Principe","Planned",13.24,4.78,"LMIC","Africa"]
[2018,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Sao Tome and Principe","Planned",18.5,5.96,"LMIC","Africa"]
[2008,"Senegal","Planned",17.86,3.63,"LMIC","Africa"]
[2008,"Senegal","Actual",19.899999999999999,4.1399999999999997,"LMIC","Africa"]
[2009,"Senegal","Planned",20.64,4.49,"LMIC","Africa"]
[2009,"Senegal","Actual",23.51,4.93,"LMIC","Africa"]
[2010,"Senegal","Planned",21.07,4.47,"LMIC","Africa"]
[2010,"Senegal","Actual",26.19,5.64,"LMIC","Africa"]
[2011,"Senegal","Planned",20.74,4.6500000000000004,"LMIC","Africa"]
[2011,"Senegal","Actual",22.35,5.23,"LMIC","Africa"]
[2012,"Senegal","Planned",20.94,4.96,"LMIC","Africa"]
[2012,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Senegal","Planned",21.29,4.9800000000000004,"LMIC","Africa"]
[2013,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Senegal","Planned",22.02,4.96,"LMIC","Africa"]
[2014,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Senegal","Planned",21.25,4.7699999999999996,"LMIC","Africa"]
[2015,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Senegal","Planned",23.95,5.33,"LMIC","Africa"]
[2016,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Senegal","Planned",21.33,4.6500000000000004,"LMIC","Africa"]
[2017,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Senegal","Planned",16.809999999999999,4.63,"LMIC","Africa"]
[2018,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Senegal","Planned",17.07,4.8099999999999996,"LMIC","Africa"]
[2008,"Sierra Leone","Planned","NULL","NULL","LIC","Africa"]
[2008,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2009,"Sierra Leone","Planned",16.649999999999999,2.98,"LIC","Africa"]
[2009,"Sierra Leone","Actual",16.670000000000002,2.91,"LIC","Africa"]
[2010,"Sierra Leone","Planned",15.84,2.74,"LIC","Africa"]
[2010,"Sierra Leone","Actual",14.8,2.99,"LIC","Africa"]
[2011,"Sierra Leone","Planned",14.27,2.5,"LIC","Africa"]
[2011,"Sierra Leone","Actual",12.77,2.75,"LIC","Africa"]
[2012,"Sierra Leone","Planned",15.4,2.62,"LIC","Africa"]
[2012,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2013,"Sierra Leone","Planned",16.510000000000002,2.4900000000000002,"LIC","Africa"]
[2013,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2014,"Sierra Leone","Planned",15.66,2.87,"LIC","Africa"]
[2014,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2015,"Sierra Leone","Planned",20.12,4.1500000000000004,"LIC","Africa"]
[2015,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2016,"Sierra Leone","Planned",14.98,2.86,"LIC","Africa"]
[2016,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2017,"Sierra Leone","Planned",14.98,2.97,"LIC","Africa"]
[2017,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2018,"Sierra Leone","Planned",14.38,3.23,"LIC","Africa"]
[2018,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2019,"Sierra Leone","Planned",16.21,3.28,"LIC","Africa"]
[2008,"Solomon Islands","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Solomon Islands","Planned",21.28,12.27,"LMIC","Asia"]
[2009,"Solomon Islands","Actual",19.010000000000002,10.5,"LMIC","Asia"]
[2010,"Solomon Islands","Planned",19.309999999999999,11.09,"LMIC","Asia"]
[2010,"Solomon Islands","Actual",19.04,10.74,"LMIC","Asia"]
[2011,"Solomon Islands","Planned",20.75,10.27,"LMIC","Asia"]
[2011,"Solomon Islands","Actual",17.47,8.34,"LMIC","Asia"]
[2012,"Solomon Islands","Planned",16.25,9.09,"LMIC","Asia"]
[2012,"Solomon Islands","Actual",21.58,10.41,"LMIC","Asia"]
[2013,"Solomon Islands","Planned",22.82,12.31,"LMIC","Asia"]
[2013,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Solomon Islands","Planned",22.77,11.9,"LMIC","Asia"]
[2014,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Solomon Islands","Planned",22.1,11.02,"LMIC","Asia"]
[2015,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Solomon Islands","Planned",23.22,10.62,"LMIC","Asia"]
[2016,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Solomon Islands","Planned",24.51,11.08,"LMIC","Asia"]
[2017,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Solomon Islands","Planned",21.64,9.83,"LMIC","Asia"]
[2018,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Solomon Islands","Planned",23.99,11.39,"LMIC","Asia"]
[2008,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2008,"South Africa","Actual","NULL","NULL","UMIC","Africa"]
[2009,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2009,"South Africa","Actual","NULL","NULL","UMIC","Africa"]
[2010,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2010,"South Africa","Actual","NULL","NULL","UMIC","Africa"]
[2011,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2011,"South Africa","Actual",21.15,5.69,"UMIC","Africa"]
[2012,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2012,"South Africa","Actual",21.65,5.96,"UMIC","Africa"]
[2013,"South Africa","Planned",21.56,5.93,"UMIC","Africa"]
[2013,"South Africa","Actual",21.54,5.91,"UMIC","Africa"]
[2014,"South Africa","Planned",21.28,5.92,"UMIC","Africa"]
[2014,"South Africa","Actual",21.33,5.92,"UMIC","Africa"]
[2015,"South Africa","Planned",21.02,5.98,"UMIC","Africa"]
[2015,"South Africa","Actual",21.16,5.96,"UMIC","Africa"]
[2016,"South Africa","Planned",20.98,5.96,"UMIC","Africa"]
[2016,"South Africa","Actual",20.59,5.95,"UMIC","Africa"]
[2017,"South Africa","Planned",21.33,6.11,"UMIC","Africa"]
[2017,"South Africa","Actual",21.14,6.03,"UMIC","Africa"]
[2018,"South Africa","Planned",21.02,6.14,"UMIC","Africa"]
[2018,"South Africa","Actual","NULL","NULL","UMIC","Africa"]
[2019,"South Africa","Planned",21.85,6.56,"UMIC","Africa"]
[2008,"South Sudan","Planned","NULL","NULL","LIC","Africa"]
[2008,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2009,"South Sudan","Planned","NULL","NULL","LIC","Africa"]
[2009,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2010,"South Sudan","Planned","NULL","NULL","LIC","Africa"]
[2010,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2011,"South Sudan","Planned","NULL","NULL","LIC","Africa"]
[2011,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2012,"South Sudan","Planned",6.92,1.67,"LIC","Africa"]
[2012,"South Sudan","Actual",4.42,1.35,"LIC","Africa"]
[2013,"South Sudan","Planned",6.81,1.03,"LIC","Africa"]
[2013,"South Sudan","Actual",5.38,0.83,"LIC","Africa"]
[2014,"South Sudan","Planned",6.88,1.5,"LIC","Africa"]
[2014,"South Sudan","Actual","NULL",1.39,"LIC","Africa"]
[2015,"South Sudan","Planned",5.57,1.1599999999999999,"LIC","Africa"]
[2015,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2016,"South Sudan","Planned",6.36,0.42,"LIC","Africa"]
[2016,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2017,"South Sudan","Planned",3.69,0.36,"LIC","Africa"]
[2017,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2018,"South Sudan","Planned",4.0199999999999996,0.28999999999999998,"LIC","Africa"]
[2018,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2019,"South Sudan","Planned",9.35,0.94,"LIC","Africa"]
[2008,"Sri Lanka","Planned","NULL","NULL","UMIC","Asia"]
[2008,"Sri Lanka","Actual","NULL","NULL","UMIC","Asia"]
[2009,"Sri Lanka","Planned","NULL","NULL","UMIC","Asia"]
[2009,"Sri Lanka","Actual","NULL","NULL","UMIC","Asia"]
[2010,"Sri Lanka","Planned","NULL","NULL","UMIC","Asia"]
[2010,"Sri Lanka","Actual","NULL","NULL","UMIC","Asia"]
[2011,"Sri Lanka","Planned","NULL","NULL","UMIC","Asia"]
[2011,"Sri Lanka","Actual",8.07,1.58,"UMIC","Asia"]
[2012,"Sri Lanka","Planned",7.74,1.41,"UMIC","Asia"]
[2012,"Sri Lanka","Actual",7.32,1.33,"UMIC","Asia"]
[2013,"Sri Lanka","Planned",7.71,1.43,"UMIC","Asia"]
[2013,"Sri Lanka","Actual",8.0399999999999991,1.47,"UMIC","Asia"]
[2014,"Sri Lanka","Planned",7.89,1.53,"UMIC","Asia"]
[2014,"Sri Lanka","Actual",8.91,1.8,"UMIC","Asia"]
[2015,"Sri Lanka","Planned",7.39,1.73,"UMIC","Asia"]
[2015,"Sri Lanka","Actual",9.5500000000000007,2.0499999999999998,"UMIC","Asia"]
[2016,"Sri Lanka","Planned",10.029999999999999,2.12,"UMIC","Asia"]
[2016,"Sri Lanka","Actual",10.14,2,"UMIC","Asia"]
[2017,"Sri Lanka","Planned",8.82,1.86,"UMIC","Asia"]
[2017,"Sri Lanka","Actual",8.1300000000000008,1.61,"UMIC","Asia"]
[2018,"Sri Lanka","Planned",10.11,2.1,"UMIC","Asia"]
[2018,"Sri Lanka","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Sri Lanka","Planned",9.15,1.87,"UMIC","Asia"]
[2008,"Tajikistan","Planned",14.11,3.93,"LIC","Asia"]
[2008,"Tajikistan","Actual",14.57,4.09,"LIC","Asia"]
[2009,"Tajikistan","Planned",18.55,5.38,"LIC","Asia"]
[2009,"Tajikistan","Actual",21.23,6.08,"LIC","Asia"]
[2010,"Tajikistan","Planned",15.22,4.32,"LIC","Asia"]
[2010,"Tajikistan","Actual",18.079999999999998,4.7300000000000004,"LIC","Asia"]
[2011,"Tajikistan","Planned",15.57,4.53,"LIC","Asia"]
[2011,"Tajikistan","Actual",17.760000000000002,4.8,"LIC","Asia"]
[2012,"Tajikistan","Planned",15.55,4.45,"LIC","Asia"]
[2012,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2013,"Tajikistan","Planned",17.37,5.26,"LIC","Asia"]
[2013,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2014,"Tajikistan","Planned",17.8,5.52,"LIC","Asia"]
[2014,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2015,"Tajikistan","Planned",18.78,6.03,"LIC","Asia"]
[2015,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2016,"Tajikistan","Planned",16.920000000000002,5.78,"LIC","Asia"]
[2016,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2017,"Tajikistan","Planned",18.03,5.86,"LIC","Asia"]
[2017,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2018,"Tajikistan","Planned",18.100000000000001,5.61,"LIC","Asia"]
[2018,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2019,"Tajikistan","Planned",18.23,5.67,"LIC","Asia"]
[2008,"Tanzania","Planned",18.11,3.27,"LIC","Africa"]
[2008,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2009,"Tanzania","Planned",19.79,3.69,"LIC","Africa"]
[2009,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2010,"Tanzania","Planned",19.88,3.96,"LIC","Africa"]
[2010,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2011,"Tanzania","Planned",20.68,4.16,"LIC","Africa"]
[2011,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2012,"Tanzania","Planned",18.53,3.76,"LIC","Africa"]
[2012,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2013,"Tanzania","Planned",19.59,4.0599999999999996,"LIC","Africa"]
[2013,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2014,"Tanzania","Planned",17.14,3.79,"LIC","Africa"]
[2014,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2015,"Tanzania","Planned",17.45,3.67,"LIC","Africa"]
[2015,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2016,"Tanzania","Planned",17.2,3.57,"LIC","Africa"]
[2016,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2017,"Tanzania","Planned",16.149999999999999,4.0199999999999996,"LIC","Africa"]
[2017,"Tanzania","Actual",14.24,3.05,"LIC","Africa"]
[2018,"Tanzania","Planned",14.04,3.44,"LIC","Africa"]
[2018,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2019,"Tanzania","Planned",13.99,3.16,"LIC","Africa"]
[2008,"Timor-Leste","Planned",11.66,1.33,"LMIC","Asia"]
[2008,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Timor-Leste","Planned",10.050000000000001,2.83,"LMIC","Asia"]
[2009,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Timor-Leste","Planned",11.2,2.34,"LMIC","Asia"]
[2010,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Timor-Leste","Planned",6.24,1.65,"LMIC","Asia"]
[2011,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Timor-Leste","Planned",7.83,2.19,"LMIC","Asia"]
[2012,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Timor-Leste","Planned",7.07,2.3199999999999998,"LMIC","Asia"]
[2013,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Timor-Leste","Planned",8.6999999999999993,3.63,"LMIC","Asia"]
[2014,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Timor-Leste","Planned",7.75,4.3499999999999996,"LMIC","Asia"]
[2015,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Timor-Leste","Planned",7.77,5.29,"LMIC","Asia"]
[2016,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Timor-Leste","Planned",7.72,4.79,"LMIC","Asia"]
[2017,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Timor-Leste","Planned",7.46,3.97,"LMIC","Asia"]
[2018,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Timor-Leste","Planned",7.69,4.3099999999999996,"LMIC","Asia"]
[2008,"Togo","Planned","NULL","NULL","LIC","Africa"]
[2008,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2009,"Togo","Planned",16.63,3.25,"LIC","Africa"]
[2009,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2010,"Togo","Planned",15.8,4.0599999999999996,"LIC","Africa"]
[2010,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2011,"Togo","Planned",16.55,4.41,"LIC","Africa"]
[2011,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2012,"Togo","Planned",15.58,4.74,"LIC","Africa"]
[2012,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2013,"Togo","Planned",14.75,4.8600000000000003,"LIC","Africa"]
[2013,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2014,"Togo","Planned",15.92,5.17,"LIC","Africa"]
[2014,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2015,"Togo","Planned",16.64,4.88,"LIC","Africa"]
[2015,"Togo","Actual",14.84,4.68,"LIC","Africa"]
[2016,"Togo","Planned",16.079999999999998,4.93,"LIC","Africa"]
[2016,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2017,"Togo","Planned",16.62,5.03,"LIC","Africa"]
[2017,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2018,"Togo","Planned",14.1,4.3600000000000003,"LIC","Africa"]
[2018,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2019,"Togo","Planned",16.36,4.58,"LIC","Africa"]
[2008,"Tonga","Planned",16.809999999999999,5.6,"UMIC","Asia"]
[2008,"Tonga","Actual",15.23,3.7,"UMIC","Asia"]
[2009,"Tonga","Planned",14.29,4.6399999999999997,"UMIC","Asia"]
[2009,"Tonga","Actual",13.55,4.5,"UMIC","Asia"]
[2010,"Tonga","Planned",19.98,5.22,"UMIC","Asia"]
[2010,"Tonga","Actual",14.33,4.3,"UMIC","Asia"]
[2011,"Tonga","Planned",18.73,4.71,"UMIC","Asia"]
[2011,"Tonga","Actual",20.77,5.25,"UMIC","Asia"]
[2012,"Tonga","Planned",16.899999999999999,4.2,"UMIC","Asia"]
[2012,"Tonga","Actual",21.39,5.15,"UMIC","Asia"]
[2013,"Tonga","Planned",21.98,5.99,"UMIC","Asia"]
[2013,"Tonga","Actual",19.850000000000001,5.05,"UMIC","Asia"]
[2014,"Tonga","Planned",18,5.1100000000000003,"UMIC","Asia"]
[2014,"Tonga","Actual",20.25,5.19,"UMIC","Asia"]
[2015,"Tonga","Planned",16.059999999999999,5.5,"UMIC","Asia"]
[2015,"Tonga","Actual",18.239999999999998,5.41,"UMIC","Asia"]
[2016,"Tonga","Planned",17.190000000000001,6.1,"UMIC","Asia"]
[2016,"Tonga","Actual",18.739999999999998,5.51,"UMIC","Asia"]
[2017,"Tonga","Planned",16.95,5.62,"UMIC","Asia"]
[2017,"Tonga","Actual",16.84,5.0599999999999996,"UMIC","Asia"]
[2018,"Tonga","Planned",15.83,5.77,"UMIC","Asia"]
[2018,"Tonga","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Tonga","Planned",13.74,5.83,"UMIC","Asia"]
[2008,"Uganda","Planned",15.84,3.13,"LIC","Africa"]
[2008,"Uganda","Actual",17.39,3.11,"LIC","Africa"]
[2009,"Uganda","Planned",14.6,2.97,"LIC","Africa"]
[2009,"Uganda","Actual",15.48,2.69,"LIC","Africa"]
[2010,"Uganda","Planned",15.3,3.1,"LIC","Africa"]
[2010,"Uganda","Actual",15.19,2.97,"LIC","Africa"]
[2011,"Uganda","Planned",16.79,3.21,"LIC","Africa"]
[2011,"Uganda","Actual",12.72,2.92,"LIC","Africa"]
[2012,"Uganda","Planned",14.43,2.4,"LIC","Africa"]
[2012,"Uganda","Actual",14.09,2.2000000000000002,"LIC","Africa"]
[2013,"Uganda","Planned",14.66,2.41,"LIC","Africa"]
[2013,"Uganda","Actual",13.84,2.19,"LIC","Africa"]
[2014,"Uganda","Planned",13.57,2.4300000000000002,"LIC","Africa"]
[2014,"Uganda","Actual",14.17,2.27,"LIC","Africa"]
[2015,"Uganda","Planned",12.58,2.54,"LIC","Africa"]
[2015,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2016,"Uganda","Planned",10.83,2.31,"LIC","Africa"]
[2016,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2017,"Uganda","Planned",11.8,2.5499999999999998,"LIC","Africa"]
[2017,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2018,"Uganda","Planned",11.25,2.38,"LIC","Africa"]
[2018,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2019,"Uganda","Planned",11.47,2.36,"LIC","Africa"]
[2008,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Vanuatu","Planned",26.05,7.48,"LMIC","Asia"]
[2010,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Vanuatu","Planned",24.78,6.72,"LMIC","Asia"]
[2011,"Vanuatu","Actual",24.6,6.03,"LMIC","Asia"]
[2012,"Vanuatu","Planned",28.76,7.44,"LMIC","Asia"]
[2012,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Vanuatu","Planned",29.43,7.23,"LMIC","Asia"]
[2013,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Vanuatu","Planned",25.36,5.45,"LMIC","Asia"]
[2014,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Vanuatu","Planned",17.47,5.2,"LMIC","Asia"]
[2015,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Vanuatu","Planned",9.8800000000000008,5.54,"LMIC","Asia"]
[2016,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Vanuatu","Planned",11.95,5.66,"LMIC","Asia"]
[2017,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Vanuatu","Planned",17.93,7.01,"LMIC","Asia"]
[2018,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Vanuatu","Planned",16.48,6.14,"LMIC","Asia"]
[2008,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2011,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2012,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2013,"Vietnam","Actual","NULL",4.71,"LMIC","Asia"]
[2014,"Vietnam","Planned",18.399999999999999,4.43,"LMIC","Asia"]
[2014,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Vietnam","Planned",17.010000000000002,4.3899999999999997,"LMIC","Asia"]
[2015,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2016,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2017,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2018,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2008,"Yemen, Rep.","Actual",13.1,5.43,"LIC","Middle East"]
[2009,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2009,"Yemen, Rep.","Actual",16.54,5.92,"LIC","Middle East"]
[2010,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2010,"Yemen, Rep.","Actual",14.29,4.3899999999999997,"LIC","Middle East"]
[2011,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2011,"Yemen, Rep.","Actual",16.260000000000002,4.78,"LIC","Middle East"]
[2012,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2012,"Yemen, Rep.","Actual",13.78,5.04,"LIC","Middle East"]
[2013,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2013,"Yemen, Rep.","Actual",15.76,4.92,"LIC","Middle East"]
[2014,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2014,"Yemen, Rep.","Actual","NULL","NULL","LIC","Middle East"]
[2015,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2015,"Yemen, Rep.","Actual","NULL","NULL","LIC","Middle East"]
[2016,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2016,"Yemen, Rep.","Actual","NULL","NULL","LIC","Middle East"]
[2017,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2017,"Yemen, Rep.","Actual","NULL","NULL","LIC","Middle East"]
[2018,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2008,"Zambia","Planned",15.47,3.21,"LMIC","Africa"]
[2008,"Zambia","Actual",14.16,2.8,"LMIC","Africa"]
[2009,"Zambia","Planned",18.22,3.59,"LMIC","Africa"]
[2009,"Zambia","Actual",19.77,3.54,"LMIC","Africa"]
[2010,"Zambia","Planned",19.79,3.34,"LMIC","Africa"]
[2010,"Zambia","Actual",16.02,2.89,"LMIC","Africa"]
[2011,"Zambia","Planned",19.03,3.36,"LMIC","Africa"]
[2011,"Zambia","Actual",15.27,3,"LMIC","Africa"]
[2012,"Zambia","Planned",16.8,3.74,"LMIC","Africa"]
[2012,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Zambia","Planned",17.55,3.67,"LMIC","Africa"]
[2013,"Zambia","Actual",13.69,3.27,"LMIC","Africa"]
[2014,"Zambia","Planned",20.170000000000002,5.15,"LMIC","Africa"]
[2014,"Zambia","Actual",21.44,4.83,"LMIC","Africa"]
[2015,"Zambia","Planned",20.18,5.13,"LMIC","Africa"]
[2015,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Zambia","Planned",17.21,4.2300000000000004,"LMIC","Africa"]
[2016,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Zambia","Planned",16.5,4.32,"LMIC","Africa"]
[2017,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Zambia","Planned",16.13,4.1399999999999997,"LMIC","Africa"]
[2018,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Zambia","Planned",15.29,4.2300000000000004,"LMIC","Africa"]
[2008,"Zimbabwe","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Zimbabwe","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Zimbabwe","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Zimbabwe","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Zimbabwe","Planned",24.88,5.81,"LMIC","Africa"]
[2012,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Zimbabwe","Planned",25.42,5.24,"LMIC","Africa"]
[2013,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Zimbabwe","Planned",28.59,6.15,"LMIC","Africa"]
[2014,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Zimbabwe","Planned",28.86,6.04,"LMIC","Africa"]
[2015,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Zimbabwe","Planned",27.94,5.37,"LMIC","Africa"]
[2016,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Zimbabwe","Planned",21.42,3.73,"LMIC","Africa"]
[2017,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Zimbabwe","Planned",29.02,3.25,"LMIC","Africa"]
[2018,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Zimbabwe","Planned",29.4,1.55,"LMIC","Africa"]

{"sheet":"PS_Source_GSW_Health","index":24,"n_rows":1867,"n_cols":17,"rows_kept":1867,"cut":false,"hidden":false,"merged":[]}
["GSW - Health"]
[null,null,null,null,null,null,null,null,null,null,"HEALTH","HEALTH","HEALTH","HEALTH","HEALTH"]
["Year","Country","Type","total_total_expenditure","gdp_total_expenditure","Income_Group","Region","HEALTH","HEALTH","Latest date\nDo not touch this formula","Country\n","Expenditure\nDo not touch this formula","% of total EXP\nDo not touch the formula","% of GDP\nDo not touch the formula","Latest date\nDo not touch the formula","HEALTH","HEALTH"]
[2008,"Afghanistan","Planned","NULL","NULL","LIC","Asia",null,1,{"$f":"LARGE(INDEX(($B$4:$B$1868=K4)*($D$4:$D$1868<>\"Null\")*($E$4:$E$1868<>\"Null\")*($A$4:$A$1868),,),1)","v":2019},"Afghanistan",{"$f":"INDEX(C$3:C$1867,MATCH(1,INDEX(($A$3:$A$1867=$J4)*($B$3:$B$1867=$K4)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":"Planned"},{"$f":"INDEX(D$3:D$1867,MATCH(1,INDEX(($A$3:$A$1867=$J4)*($B$3:$B$1867=$K4)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":4.04},{"$f":"INDEX(E$3:E$1867,MATCH(1,INDEX(($A$3:$A$1867=$J4)*($B$3:$B$1867=$K4)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":1.1599999999999999},{"$f":"J4","v":2019}]
[2008,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,2,{"$f":"LARGE(INDEX(($B$4:$B$1868=K5)*($D$4:$D$1868<>\"Null\")*($E$4:$E$1868<>\"Null\")*($A$4:$A$1868),,),1)","v":2019},"Albania","Planned",10.8,2.99,2019]
[2009,"Afghanistan","Planned",3.15,0.7,"LIC","Asia",null,3,2019,"Angola","Planned",10.84,2.38,2019]
[2009,"Afghanistan","Actual",4.2300000000000004,0.91,"LIC","Asia",null,4,2019,"Armenia","Planned",5.44,1.37,2019]
[2010,"Afghanistan","Planned",4.6900000000000004,1.01,"LIC","Asia",null,5,2019,"Bangladesh","Planned",5.04,0.91,2019]
[2010,"Afghanistan","Actual",4.1500000000000004,0.9,"LIC","Asia",null,6,2019,"Belize","Planned",11.76,3.55,2019]
[2011,"Afghanistan","Planned",4.07,1.05,"LIC","Asia",null,7,2019,"Benin","Planned",5.03,0.76,2019]
[2011,"Afghanistan","Actual",3.53,0.84,"LIC","Asia",null,8,2019,"Bhutan","Planned",7.5,2.0699999999999998,2019]
[2012,"Afghanistan","Planned",3.86,0.91,"LIC","Asia",null,9,2015,"Bolivia","Actual",4.68,1.9,2015]
[2012,"Afghanistan","Actual",3.36,0.62,"LIC","Asia",null,10,2019,"Burkina Faso","Planned",10.66,2.78,2019]
[2013,"Afghanistan","Planned",3.21,1.02,"LIC","Asia",null,11,2019,"Burundi","Planned",12,2.4900000000000002,2019]
[2013,"Afghanistan","Actual",3.75,0.92,"LIC","Asia",null,12,2019,"Cabo Verde","Planned",9.64,3.5,2019]
[2014,"Afghanistan","Planned",4.29,1.55,"LIC","Asia",null,13,2017,"Cambodia","Planned",8.48,1.89,2017]
[2014,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,14,2019,"Cameroon","Planned",5.21,0.92,2019]
[2015,"Afghanistan","Planned",4.24,1.51,"LIC","Asia",null,15,2019,"Central African Republic","Planned",10.58,1.87,2019]
[2015,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,16,2019,"Chad","Planned",6.07,1.04,2019]
[2016,"Afghanistan","Planned",4.5199999999999996,1.52,"LIC","Asia",null,17,2019,"Colombia","Planned",12.23,3.01,2019]
[2016,"Afghanistan","Actual",4.5,1.21,"LIC","Asia",null,18,2013,"Comoros","Planned",1.51,0.22,2013]
[2017,"Afghanistan","Planned",3.35,1.05,"LIC","Asia",null,19,2019,"Congo, Dem. Rep.","Planned",11.3,1.26,2019]
[2017,"Afghanistan","Actual",4.37,1.36,"LIC","Asia",null,20,2019,"Congo, Rep.","Planned",9.74,2.14,2019]
[2018,"Afghanistan","Planned",3.5,1.06,"LIC","Asia",null,21,2019,"Cote d'Ivoire","Planned",5.22,1.47,2019]
[2018,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,22,2013,"Djibouti","Planned",8.09,2.0699999999999998,2013]
[2019,"Afghanistan","Planned",4.04,1.1599999999999999,"LIC","Asia",null,23,2019,"Dominican Republic","Planned",8.24,1.67,2019]
[2008,"Albania","Planned","NULL","NULL","UMIC","Europe",null,24,2019,"Ecuador","Planned",8.92,2.94,2019]
[2008,"Albania","Actual","NULL","NULL","UMIC","Europe",null,25,2019,"El Salvador","Planned",10.78,2.76,2019]
[2009,"Albania","Planned","NULL","NULL","UMIC","Europe",null,26,2019,"Eswatini","Planned",15.35,4.5199999999999996,2019]
[2009,"Albania","Actual","NULL","NULL","UMIC","Europe",null,27,2019,"Ethiopia","Planned",10.33,1.55,2019]
[2010,"Albania","Planned","NULL","NULL","UMIC","Europe",null,28,2019,"Fiji","Planned",6.85,2.48,2019]
[2010,"Albania","Actual","NULL","NULL","UMIC","Europe",null,29,2019,"Gambia, The","Planned",7.47,2.4,2019]
[2011,"Albania","Planned","NULL","NULL","UMIC","Europe",null,30,2019,"Ghana","Planned",8.3000000000000007,1.74,2019]
[2011,"Albania","Actual","NULL","NULL","UMIC","Europe",null,31,2019,"Guatemala","Planned",11.03,1.29,2019]
[2012,"Albania","Planned","NULL","NULL","UMIC","Europe",null,32,2018,"Guinea","Planned",6.47,1.2,2018]
[2012,"Albania","Actual","NULL","NULL","UMIC","Europe",null,33,2015,"Guinea-Bissau",{"$f":"INDEX(C$3:C$1867,MATCH(1,INDEX(($A$3:$A$1867=$J36)*($B$3:$B$1867=$K36)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":"Planned"},{"$f":"INDEX(D$3:D$1867,MATCH(1,INDEX(($A$3:$A$1867=$J36)*($B$3:$B$1867=$K36)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":7.97},{"$f":"INDEX(E$3:E$1867,MATCH(1,INDEX(($A$3:$A$1867=$J36)*($B$3:$B$1867=$K36)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":1.51},{"$f":"J36","v":2015}]
[2013,"Albania","Planned",9.1300000000000008,2.77,"UMIC","Europe",null,34,2019,"Guyana","Planned",12.34,4.21,2019]
[2013,"Albania","Actual","NULL","NULL","UMIC","Europe",null,35,2019,"Haiti","Planned",7.84,2.0499999999999998,2019]
[2014,"Albania","Planned",8.5299999999999994,2.79,"UMIC","Europe",null,36,2019,"Honduras","Planned",5.64,2.42,2019]
[2014,"Albania","Actual","NULL","NULL","UMIC","Europe",null,37,2019,"India","Planned",3.98,1.22,2019]
[2015,"Albania","Planned",8.7200000000000006,2.87,"UMIC","Europe",null,38,2019,"Jamaica","Planned",11.99,3.46,2019]
[2015,"Albania","Actual","NULL","NULL","UMIC","Europe",null,39,2019,"Jordan","Planned",12.17,3.6,2019]
[2016,"Albania","Planned",9.2899999999999991,2.98,"UMIC","Europe",null,40,2019,"Kenya","Planned",3.41,0.97,2019]
[2016,"Albania","Actual","NULL","NULL","UMIC","Europe",null,41,2019,"Kiribati","Planned",7.02,11.75,2019]
[2017,"Albania","Planned",9.6199999999999992,2.93,"UMIC","Europe",null,42,2019,"Kosovo","Planned",10.26,3.41,2019]
[2017,"Albania","Actual","NULL","NULL","UMIC","Europe",null,43,2019,"Kyrgyz Republic","Planned",2.41,0.71,2019]
[2018,"Albania","Planned",10.39,3.02,"UMIC","Europe",null,44,2019,"Lesotho","Planned",13.51,6.17,2019]
[2018,"Albania","Actual","NULL","NULL","UMIC","Europe",null,45,2019,"Liberia","Planned",17.239999999999998,2.54,2019]
[2019,"Albania","Planned",10.8,2.99,"UMIC","Europe",null,46,2019,"Madagascar","Planned",7,1.26,2019]
[2008,"Angola","Planned",7.57,2.56,"LMIC","Africa",null,47,2019,"Malawi","Planned",8.14,2.29,2019]
[2008,"Angola","Actual","NULL","NULL","LMIC","Africa",null,48,2019,"Mali","Planned",4.97,1.17,2019]
[2009,"Angola","Planned",9.3699999999999992,4.7699999999999996,"LMIC","Africa",null,49,2017,"Mauritania","Planned",6.59,15.77,2017]
[2009,"Angola","Actual",4.24,1.8,"LMIC","Africa",null,50,2019,"Moldova","Planned",12.29,4.0999999999999996,2019]
[2010,"Angola","Planned",6.26,2.02,"LMIC","Africa",null,51,2019,"Mongolia","Planned",7.66,2.2599999999999998,2019]
[2010,"Angola","Actual",4.21,1.52,"LMIC","Africa",null,52,2019,"Mozambique","Planned",8.2200000000000006,2.96,2019]
[2011,"Angola","Planned",6.73,1.99,"LMIC","Africa",null,53,2019,"Nepal","Planned",4.97,1.89,2019]
[2011,"Angola","Actual",4.68,1.68,"LMIC","Africa",null,54,2019,"Nicaragua","Planned",17.559999999999999,3.38,2019]
[2012,"Angola","Planned",6.76,1.89,"LMIC","Africa",null,55,2019,"Niger","Planned",7.08,2.4,2019]
[2012,"Angola","Actual",4.92,1.74,"LMIC","Africa",null,56,2012,"Nigeria","Actual",3.57,0.5,2012]
[2013,"Angola","Planned",7.35,2.8,"LMIC","Africa",null,57,2019,"Occupied Palestinian Territory","Planned",9.8832540911101283,3.2980038741813491,2019,"Amended by DW on email 03.06.20 as per request of OPT Oxfam Office email sent to Jo"]
[2013,"Angola","Actual",5.19,2.41,"LMIC","Africa",null,58,2019,"Pakistan","Planned",4.0999999999999996,1.03,2019]
[2014,"Angola","Planned",5.88,2.21,"LMIC","Africa",null,59,2019,"Papua New Guinea","Planned",9.2100000000000009,1.85,2019]
[2014,"Angola","Actual",4.03,1.93,"LMIC","Africa",null,60,2019,"Paraguay","Planned",7.45,2.23,2019]
[2015,"Angola","Planned",5.28,1.97,"LMIC","Africa",null,61,2019,"Peru","Planned",10.84,2.35,2019]
[2015,"Angola","Actual",4.4000000000000004,1.38,"LMIC","Africa",null,62,2019,"Rwanda","Planned",8.99,2.5299999999999998,2019]
[2016,"Angola","Planned",7.93,2.06,"LMIC","Africa",null,63,2019,"Samoa","Planned",10.35,4.0999999999999996,2019]
[2016,"Angola","Actual","NULL","NULL","LMIC","Africa",null,64,2019,"Sao Tome and Principe","Planned",13.9,4.4800000000000004,2019]
[2017,"Angola","Planned",6.61,1.57,"LMIC","Africa",null,65,2019,"Senegal",{"$f":"INDEX(C$3:C$1867,MATCH(1,INDEX(($A$3:$A$1867=$J68)*($B$3:$B$1867=$K68)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":"Planned"},{"$f":"INDEX(D$3:D$1867,MATCH(1,INDEX(($A$3:$A$1867=$J68)*($B$3:$B$1867=$K68)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":5.05},{"$f":"INDEX(E$3:E$1867,MATCH(1,INDEX(($A$3:$A$1867=$J68)*($B$3:$B$1867=$K68)*($D$3:$D$1867<>\"Null\")*($E$3:$E$1867<>\"Null\"),,),0))","v":1.42},{"$f":"J68","v":2019}]
[2017,"Angola","Actual","NULL","NULL","LMIC","Africa",null,66,{"$f":"LARGE(INDEX(($B$4:$B$1868=K69)*($D$4:$D$1868<>\"Null\")*($E$4:$E$1868<>\"Null\")*($A$4:$A$1868),,),1)","v":2019},"Sierra Leone","Planned",11.22,2.27,2019]
[2018,"Angola","Planned",6.86,1.31,"LMIC","Africa",null,67,2019,"Solomon Islands","Planned",10.55,5.01,2019]
[2018,"Angola","Actual","NULL","NULL","LMIC","Africa",null,68,2019,"South Africa","Planned",13.04,3.91,2019]
[2019,"Angola","Planned",10.84,2.38,"LMIC","Africa",null,69,2019,"South Sudan","Planned",2.2000000000000002,0.22,2019]
[2008,"Armenia","Planned","NULL","NULL","UMIC","Asia",null,70,2019,"Sri Lanka","Planned",7.27,1.48,2019]
[2008,"Armenia","Actual","NULL","NULL","UMIC","Asia",null,71,2019,"Tajikistan","Planned",7.2,2.2400000000000002,2019]
[2009,"Armenia","Planned","NULL","NULL","UMIC","Asia",null,72,2019,"Tanzania","Planned",5.37,1.21,2019]
[2009,"Armenia","Actual","NULL","NULL","UMIC","Asia",null,73,2019,"Timor-Leste","Planned",4.55,2.5499999999999998,2019]
[2010,"Armenia","Planned","NULL",1.6,"UMIC","Asia",null,74,2019,"Togo","Planned",6.87,1.92,2019]
[2010,"Armenia","Actual",6.19,1.62,"UMIC","Asia",null,75,2019,"Tonga","Planned",8.6199999999999992,3.66,2019]
[2011,"Armenia","Planned",6.37,1.65,"UMIC","Asia",null,76,2019,"Uganda","Planned",9.68,1.99,2019]
[2011,"Armenia","Actual",6.71,1.68,"UMIC","Asia",null,77,2019,"Vanuatu","Planned",9.75,3.63,2019]
[2012,"Armenia","Planned",6.35,1.53,"UMIC","Asia",null,78,2015,"Vietnam","Planned",6.19,1.6,2015]
[2012,"Armenia","Actual","NULL",1.51,"UMIC","Asia",null,79,2013,"Yemen, Rep.","Actual",5.12,1.6,2013]
[2013,"Armenia","Planned",6.42,1.58,"UMIC","Asia",null,80,2019,"Zambia","Planned",9.3000000000000007,2.57,2019]
[2013,"Armenia","Actual","NULL",1.41,"UMIC","Asia",null,81,2019,"Zimbabwe","Planned",13.5,0.71,2019]
[2014,"Armenia","Planned",6.73,1.67,"UMIC","Asia"]
[2014,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2015,"Armenia","Planned",6.45,1.67,"UMIC","Asia"]
[2015,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2016,"Armenia","Planned",6.42,1.74,"UMIC","Asia"]
[2016,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2017,"Armenia","Planned",6.31,1.54,"UMIC","Asia"]
[2017,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2018,"Armenia","Planned",5.74,1.4,"UMIC","Asia"]
[2018,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Armenia","Planned",5.44,1.37,"UMIC","Asia"]
[2008,"Bangladesh","Planned",5.97,0.87,"LMIC","Asia"]
[2008,"Bangladesh","Actual",5.03,0.73,"LMIC","Asia"]
[2009,"Bangladesh","Planned",6.1,0.86,"LMIC","Asia"]
[2009,"Bangladesh","Actual",5.71,0.72,"LMIC","Asia"]
[2010,"Bangladesh","Planned",6.15,0.88,"LMIC","Asia"]
[2010,"Bangladesh","Actual",6.17,0.79,"LMIC","Asia"]
[2011,"Bangladesh","Planned",6.17,0.89,"LMIC","Asia"]
[2011,"Bangladesh","Actual",5.68,0.8,"LMIC","Asia"]
[2012,"Bangladesh","Planned",5.43,0.84,"LMIC","Asia"]
[2012,"Bangladesh","Actual",5.03,0.73,"LMIC","Asia"]
[2013,"Bangladesh","Planned",4.88,0.78,"LMIC","Asia"]
[2013,"Bangladesh","Actual",4.91,0.71,"LMIC","Asia"]
[2014,"Bangladesh","Planned",4.2699999999999996,0.71,"LMIC","Asia"]
[2014,"Bangladesh","Actual",4.99,0.7,"LMIC","Asia"]
[2015,"Bangladesh","Planned",4.46,0.74,"LMIC","Asia"]
[2015,"Bangladesh","Actual",5.0999999999999996,0.69,"LMIC","Asia"]
[2016,"Bangladesh","Planned",4.3099999999999996,0.73,"LMIC","Asia"]
[2016,"Bangladesh","Actual",5.29,0.73,"LMIC","Asia"]
[2017,"Bangladesh","Planned",5.14,0.89,"LMIC","Asia"]
[2017,"Bangladesh","Actual",2.46,0.34,"LMIC","Asia"]
[2018,"Bangladesh","Planned",5.17,0.92,"LMIC","Asia"]
[2018,"Bangladesh","Actual",5.23,0.75,"LMIC","Asia"]
[2019,"Bangladesh","Planned",5.04,0.91,"LMIC","Asia"]
[2019,"Bangladesh","Actual","NULL","NULL","LMIC","Asia"]
[2008,"Belize","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Belize","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Belize","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Belize","Planned","NULL","NULL","UMIC","LAC"]
[2011,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2012,"Belize","Planned",10.98,3.13,"UMIC","LAC"]
[2012,"Belize","Actual",11.2,3.11,"UMIC","LAC"]
[2013,"Belize","Planned",11.05,3.22,"UMIC","LAC"]
[2013,"Belize","Actual",11.46,3.03,"UMIC","LAC"]
[2014,"Belize","Planned",11.85,3.27,"UMIC","LAC"]
[2014,"Belize","Actual",10.99,3.17,"UMIC","LAC"]
[2015,"Belize","Planned",10.84,3.11,"UMIC","LAC"]
[2015,"Belize","Actual",10.5,3.36,"UMIC","LAC"]
[2016,"Belize","Planned",11.25,3.33,"UMIC","LAC"]
[2016,"Belize","Actual",9.9,3.5,"UMIC","LAC"]
[2017,"Belize","Planned",10.98,3.39,"UMIC","LAC"]
[2017,"Belize","Actual",11.24,3.64,"UMIC","LAC"]
[2018,"Belize","Planned",11.5,3.52,"UMIC","LAC"]
[2018,"Belize","Actual",11.25,3.39,"UMIC","LAC"]
[2019,"Belize","Planned",11.76,3.55,"UMIC","LAC"]
[2019,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2008,"Benin","Planned",10.95,1.63,"LIC","Africa"]
[2008,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2009,"Benin","Planned",13.45,2.4300000000000002,"LIC","Africa"]
[2009,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2010,"Benin","Planned",8.0500000000000007,1.75,"LIC","Africa"]
[2010,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2011,"Benin","Planned",7.51,1.37,"LIC","Africa"]
[2011,"Benin","Actual",5.47,0.82,"LIC","Africa"]
[2012,"Benin","Planned",7.89,1.17,"LIC","Africa"]
[2012,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2013,"Benin","Planned",7.93,1.1599999999999999,"LIC","Africa"]
[2013,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2014,"Benin","Planned",7.95,1.1599999999999999,"LIC","Africa"]
[2014,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2015,"Benin","Planned",7.85,1.29,"LIC","Africa"]
[2015,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2016,"Benin","Planned",6.78,1.1399999999999999,"LIC","Africa"]
[2016,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2017,"Benin","Planned",5.17,1.1000000000000001,"LIC","Africa"]
[2017,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2018,"Benin","Planned",5.3,0.87,"LIC","Africa"]
[2018,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2019,"Benin","Planned",5.03,0.76,"LIC","Africa"]
[2008,"Bhutan","Planned",8.31,3.55,"LMIC","Asia"]
[2008,"Bhutan","Actual",9.1,3.44,"LMIC","Asia"]
[2009,"Bhutan","Planned",8.48,3.37,"LMIC","Asia"]
[2009,"Bhutan","Actual",9.24,3.33,"LMIC","Asia"]
[2010,"Bhutan","Planned",8.43,3.46,"LMIC","Asia"]
[2010,"Bhutan","Actual",7.67,2.96,"LMIC","Asia"]
[2011,"Bhutan","Planned",7.62,3.14,"LMIC","Asia"]
[2011,"Bhutan","Actual",7.75,2.91,"LMIC","Asia"]
[2012,"Bhutan","Planned",7.78,3.24,"LMIC","Asia"]
[2012,"Bhutan","Actual",8.48,3.24,"LMIC","Asia"]
[2013,"Bhutan","Planned",7.55,2.57,"LMIC","Asia"]
[2013,"Bhutan","Actual",8.08,2.91,"LMIC","Asia"]
[2014,"Bhutan","Planned",8.69,2.79,"LMIC","Asia"]
[2014,"Bhutan","Actual",8.59,2.64,"LMIC","Asia"]
[2015,"Bhutan","Planned",8.64,2.5499999999999998,"LMIC","Asia"]
[2015,"Bhutan","Actual",9.48,2.75,"LMIC","Asia"]
[2016,"Bhutan","Planned",8.31,2.8,"LMIC","Asia"]
[2016,"Bhutan","Actual",9.18,2.92,"LMIC","Asia"]
[2017,"Bhutan","Planned",8.68,2.87,"LMIC","Asia"]
[2017,"Bhutan","Actual",9.08,2.78,"LMIC","Asia"]
[2018,"Bhutan","Planned",8.64,2.89,"LMIC","Asia"]
[2018,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Bhutan","Planned",7.5,2.0699999999999998,"LMIC","Asia"]
[2019,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2008,"Bolivia","Planned","NULL",1.24,"LMIC","LAC"]
[2008,"Bolivia","Actual",3.79,1.24,"LMIC","LAC"]
[2009,"Bolivia","Planned","NULL",1.5,"LMIC","LAC"]
[2009,"Bolivia","Actual",4.63,1.5,"LMIC","LAC"]
[2010,"Bolivia","Planned","NULL",1.51,"LMIC","LAC"]
[2010,"Bolivia","Actual",4.91,1.51,"LMIC","LAC"]
[2011,"Bolivia","Planned","NULL",1.78,"LMIC","LAC"]
[2011,"Bolivia","Actual",4.1399999999999997,1.4,"LMIC","LAC"]
[2012,"Bolivia","Planned","NULL",1.33,"LMIC","LAC"]
[2012,"Bolivia","Actual",3.46,1.1499999999999999,"LMIC","LAC"]
[2013,"Bolivia","Planned","NULL",1.27,"LMIC","LAC"]
[2013,"Bolivia","Actual",3.37,1.19,"LMIC","LAC"]
[2014,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2014,"Bolivia","Actual",3.67,1.48,"LMIC","LAC"]
[2015,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2015,"Bolivia","Actual",4.68,1.9,"LMIC","LAC"]
[2016,"Bolivia","Planned","NULL",1.87,"LMIC","LAC"]
[2016,"Bolivia","Actual","NULL","NULL","LMIC","LAC"]
[2017,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2017,"Bolivia","Actual","NULL","NULL","LMIC","LAC"]
[2018,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2018,"Bolivia","Actual","NULL","NULL","LMIC","LAC"]
[2019,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2008,"Burkina Faso","Planned",10.43,2.64,"LIC","Africa"]
[2008,"Burkina Faso","Actual",8.6300000000000008,1.82,"LIC","Africa"]
[2009,"Burkina Faso","Planned",11.48,2.91,"LIC","Africa"]
[2009,"Burkina Faso","Actual",10.02,2.4300000000000002,"LIC","Africa"]
[2010,"Burkina Faso","Planned",9.86,2.4500000000000002,"LIC","Africa"]
[2010,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2011,"Burkina Faso","Planned",9.25,2.13,"LIC","Africa"]
[2011,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2012,"Burkina Faso","Planned",8.5,2.12,"LIC","Africa"]
[2012,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2013,"Burkina Faso","Planned",9.8000000000000007,2.72,"LIC","Africa"]
[2013,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2014,"Burkina Faso","Planned",10.98,3.15,"LIC","Africa"]
[2014,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2015,"Burkina Faso","Planned",10.06,3.16,"LIC","Africa"]
[2015,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2016,"Burkina Faso","Planned",9.48,2.68,"LIC","Africa"]
[2016,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2017,"Burkina Faso","Planned",10.7,3.66,"LIC","Africa"]
[2017,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2018,"Burkina Faso","Planned",9.56,2.97,"LIC","Africa"]
[2018,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2019,"Burkina Faso","Planned",10.66,2.78,"LIC","Africa"]
[2008,"Burundi","Planned","NULL","NULL","LIC","Africa"]
[2008,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2009,"Burundi","Planned",8.64,3.27,"LIC","Africa"]
[2009,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2010,"Burundi","Planned",11.08,3.82,"LIC","Africa"]
[2010,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2011,"Burundi","Planned",13.08,4.67,"LIC","Africa"]
[2011,"Burundi","Actual",7.02,2.58,"LIC","Africa"]
[2012,"Burundi","Planned",12.74,4.59,"LIC","Africa"]
[2012,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2013,"Burundi","Planned",9.26,3.22,"LIC","Africa"]
[2013,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2014,"Burundi","Planned",11.48,3.53,"LIC","Africa"]
[2014,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2015,"Burundi","Planned",12.01,3.97,"LIC","Africa"]
[2015,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2016,"Burundi","Planned",5.8,1.41,"LIC","Africa"]
[2016,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2017,"Burundi","Planned",10.25,2.3199999999999998,"LIC","Africa"]
[2017,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2018,"Burundi","Planned",10.35,2.3199999999999998,"LIC","Africa"]
[2018,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2019,"Burundi","Planned",12,2.4900000000000002,"LIC","Africa"]
[2008,"Cabo Verde","Planned",7.55,2.5,"LMIC","Africa"]
[2008,"Cabo Verde","Actual",7.48,2.3199999999999998,"LMIC","Africa"]
[2009,"Cabo Verde","Planned",6.5,2.4900000000000002,"LMIC","Africa"]
[2009,"Cabo Verde","Actual",6.93,2.3199999999999998,"LMIC","Africa"]
[2010,"Cabo Verde","Planned",5.67,2.5299999999999998,"LMIC","Africa"]
[2010,"Cabo Verde","Actual",5.99,2.37,"LMIC","Africa"]
[2011,"Cabo Verde","Planned",6.13,2.46,"LMIC","Africa"]
[2011,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Cabo Verde","Planned",6.84,2.6,"LMIC","Africa"]
[2012,"Cabo Verde","Actual",6.27,2.2999999999999998,"LMIC","Africa"]
[2013,"Cabo Verde","Planned",5.52,2.17,"LMIC","Africa"]
[2013,"Cabo Verde","Actual",6.23,2.11,"LMIC","Africa"]
[2014,"Cabo Verde","Planned",7.17,2.69,"LMIC","Africa"]
[2014,"Cabo Verde","Actual",7.57,2.33,"LMIC","Africa"]
[2015,"Cabo Verde","Planned",8.0299999999999994,2.88,"LMIC","Africa"]
[2015,"Cabo Verde","Actual",8.0399999999999991,2.5499999999999998,"LMIC","Africa"]
[2016,"Cabo Verde","Planned",8.82,3.16,"LMIC","Africa"]
[2016,"Cabo Verde","Actual",8.56,2.5299999999999998,"LMIC","Africa"]
[2017,"Cabo Verde","Planned",8.15,2.65,"LMIC","Africa"]
[2017,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Cabo Verde","Planned",9.61,3.19,"LMIC","Africa"]
[2018,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Cabo Verde","Planned",9.64,3.5,"LMIC","Africa"]
[2008,"Cambodia","Planned",15.69,2.12,"LMIC","Asia"]
[2008,"Cambodia","Actual",13.15,2.12,"LMIC","Asia"]
[2009,"Cambodia","Planned",13.75,2.37,"LMIC","Asia"]
[2009,"Cambodia","Actual",13.33,2.67,"LMIC","Asia"]
[2010,"Cambodia","Planned",13.09,2.34,"LMIC","Asia"]
[2010,"Cambodia","Actual",13.7,2.73,"LMIC","Asia"]
[2011,"Cambodia","Planned","NULL","NULL","LMIC","Asia"]
[2011,"Cambodia","Actual",14.28,2.81,"LMIC","Asia"]
[2012,"Cambodia","Planned",10.32,1.9,"LMIC","Asia"]
[2012,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Cambodia","Planned",10.55,2.0099999999999998,"LMIC","Asia"]
[2013,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Cambodia","Planned","NULL","NULL","LMIC","Asia"]
[2014,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Cambodia","Planned",8.51,1.77,"LMIC","Asia"]
[2015,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Cambodia","Planned",7.83,1.75,"LMIC","Asia"]
[2016,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Cambodia","Planned",8.48,1.89,"LMIC","Asia"]
[2017,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Cambodia","Planned","NULL","NULL","LMIC","Asia"]
[2018,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Cambodia","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Cameroon","Planned",5.2,0.8,"LMIC","Africa"]
[2008,"Cameroon","Actual",4.13,0.69,"LMIC","Africa"]
[2009,"Cameroon","Planned",7.81,1.27,"LMIC","Africa"]
[2009,"Cameroon","Actual",5.92,0.93,"LMIC","Africa"]
[2010,"Cameroon","Planned",6.86,1.19,"LMIC","Africa"]
[2010,"Cameroon","Actual",5.94,0.99,"LMIC","Africa"]
[2011,"Cameroon","Planned",6.76,1.1000000000000001,"LMIC","Africa"]
[2011,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Cameroon","Planned",5.93,1.02,"LMIC","Africa"]
[2012,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Cameroon","Planned",5.47,1.02,"LMIC","Africa"]
[2013,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Cameroon","Planned",5.44,0.96,"LMIC","Africa"]
[2014,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Cameroon","Planned",5.34,1.1299999999999999,"LMIC","Africa"]
[2015,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Cameroon","Planned",5.47,1.22,"LMIC","Africa"]
[2016,"Cameroon","Actual",5.88,1.22,"LMIC","Africa"]
[2017,"Cameroon","Planned",5.41,1.02,"LMIC","Africa"]
[2017,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Cameroon","Planned",4.8,0.82,"LMIC","Africa"]
[2018,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Cameroon","Planned",5.21,0.92,"LMIC","Africa"]
[2008,"Central African Republic","Planned",9.49,1.32,"LIC","Africa"]
[2008,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2009,"Central African Republic","Planned",7.01,1.21,"LIC","Africa"]
[2009,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2010,"Central African Republic","Planned",8.98,1.75,"LIC","Africa"]
[2010,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2011,"Central African Republic","Planned",10.15,2.09,"LIC","Africa"]
[2011,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2012,"Central African Republic","Planned",8.9600000000000009,1.67,"LIC","Africa"]
[2012,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2013,"Central African Republic","Planned",8.65,2.82,"LIC","Africa"]
[2013,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2014,"Central African Republic","Planned",10.4,2.46,"LIC","Africa"]
[2014,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2015,"Central African Republic","Planned",6.3,1.44,"LIC","Africa"]
[2015,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2016,"Central African Republic","Planned",13.12,3.15,"LIC","Africa"]
[2016,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2017,"Central African Republic","Planned",10.65,2.1,"LIC","Africa"]
[2017,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2018,"Central African Republic","Planned",8.83,1.47,"LIC","Africa"]
[2018,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2019,"Central African Republic","Planned",10.58,1.87,"LIC","Africa"]
[2008,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2008,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2009,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2009,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2010,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2010,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2011,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2011,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2012,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2012,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2013,"Chad","Planned",12.58,3.38,"LIC","Africa"]
[2013,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2014,"Chad","Planned",14.66,3.98,"LIC","Africa"]
[2014,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2015,"Chad","Planned",17.66,3.69,"LIC","Africa"]
[2015,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2016,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2016,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2017,"Chad","Planned",6.45,1.03,"LIC","Africa"]
[2017,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2018,"Chad","Planned",4.7300000000000004,1.04,"LIC","Africa"]
[2018,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2019,"Chad","Planned",6.07,1.04,"LIC","Africa"]
[2008,"Colombia","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Colombia","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Colombia","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Colombia","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Colombia","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Colombia","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Colombia","Planned",0.28999999999999998,7.0000000000000007E-2,"UMIC","LAC"]
[2011,"Colombia","Actual",1.6,0.38,"UMIC","LAC"]
[2012,"Colombia","Planned",6.23,1.55,"UMIC","LAC"]
[2012,"Colombia","Actual",6.29,1.52,"UMIC","LAC"]
[2013,"Colombia","Planned",5.91,1.54,"UMIC","LAC"]
[2013,"Colombia","Actual",6.21,1.54,"UMIC","LAC"]
[2014,"Colombia","Planned",5.76,1.53,"UMIC","LAC"]
[2014,"Colombia","Actual",6.95,1.54,"UMIC","LAC"]
[2015,"Colombia","Planned",5.66,1.52,"UMIC","LAC"]
[2015,"Colombia","Actual",6.22,1.57,"UMIC","LAC"]
[2016,"Colombia","Planned",6.21,1.55,"UMIC","LAC"]
[2016,"Colombia","Actual",6.44,1.5,"UMIC","LAC"]
[2017,"Colombia","Planned",5.79,1.41,"UMIC","LAC"]
[2017,"Colombia","Actual",6.27,1.54,"UMIC","LAC"]
[2018,"Colombia","Planned",10.19,2.4500000000000002,"UMIC","LAC"]
[2018,"Colombia","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Colombia","Planned",12.23,3.01,"UMIC","LAC"]
[2008,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Comoros","Actual",11.74,1.78,"LMIC","Africa"]
[2009,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Comoros","Actual",7.32,1,"LMIC","Africa"]
[2010,"Comoros","Planned",13.86,1.81,"LMIC","Africa"]
[2010,"Comoros","Actual",6.41,0.85,"LMIC","Africa"]
[2011,"Comoros","Planned",13.33,1.82,"LMIC","Africa"]
[2011,"Comoros","Actual",6.49,0.86,"LMIC","Africa"]
[2012,"Comoros","Planned",10.46,1.51,"LMIC","Africa"]
[2012,"Comoros","Actual",10.09,1.49,"LMIC","Africa"]
[2013,"Comoros","Planned",1.51,0.22,"LMIC","Africa"]
[2013,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2016,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2017,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2018,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Congo, Rep.","Planned",6.46,1.5,"LMIC","Africa"]
[2008,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Congo, Rep.","Planned",8.06,2.37,"LMIC","Africa"]
[2009,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Congo, Rep.","Planned",8.2899999999999991,1.7,"LMIC","Africa"]
[2010,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Congo, Rep.","Planned",7.5,1.65,"LMIC","Africa"]
[2011,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Congo, Rep.","Planned",7.06,2.82,"LMIC","Africa"]
[2012,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Congo, Rep.","Planned",6.1,2.48,"LMIC","Africa"]
[2013,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Congo, Rep.","Planned",6.01,2.72,"LMIC","Africa"]
[2014,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Congo, Rep.","Planned",12.34,7.46,"LMIC","Africa"]
[2015,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Congo, Rep.","Planned",7.06,3.99,"LMIC","Africa"]
[2016,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Congo, Rep.","Planned",5.44,2.87,"LMIC","Africa"]
[2017,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Congo, Rep.","Planned",11.3,2.27,"LMIC","Africa"]
[2018,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Congo, Rep.","Planned",9.74,2.14,"LMIC","Africa"]
[2008,"Congo, Dem. Rep.","Planned",2.42,0.52,"LIC","Africa"]
[2008,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2009,"Congo, Dem. Rep.","Planned",6.46,1.07,"LIC","Africa"]
[2009,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2010,"Congo, Dem. Rep.","Planned",6.53,1.68,"LIC","Africa"]
[2010,"Congo, Dem. Rep.","Actual",2.2200000000000002,0.42,"LIC","Africa"]
[2011,"Congo, Dem. Rep.","Planned",5.51,1.23,"LIC","Africa"]
[2011,"Congo, Dem. Rep.","Actual",3.61,0.64,"LIC","Africa"]
[2012,"Congo, Dem. Rep.","Planned",13.65,2.78,"LIC","Africa"]
[2012,"Congo, Dem. Rep.","Actual",3.34,0.49,"LIC","Africa"]
[2013,"Congo, Dem. Rep.","Planned",9.67,1.94,"LIC","Africa"]
[2013,"Congo, Dem. Rep.","Actual",5.96,0.73,"LIC","Africa"]
[2014,"Congo, Dem. Rep.","Planned",13.52,2.42,"LIC","Africa"]
[2014,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2015,"Congo, Dem. Rep.","Planned",11.93,1.92,"LIC","Africa"]
[2015,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2016,"Congo, Dem. Rep.","Planned",5.59,1.01,"LIC","Africa"]
[2016,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2017,"Congo, Dem. Rep.","Planned",7.08,1.44,"LIC","Africa"]
[2017,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2018,"Congo, Dem. Rep.","Planned",7.64,1,"LIC","Africa"]
[2018,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2019,"Congo, Dem. Rep.","Planned",11.3,1.26,"LIC","Africa"]
[2008,"Cote d'Ivoire","Planned",4.66,0.91,"LMIC","Africa"]
[2008,"Cote d'Ivoire","Actual",4.45,0.91,"LMIC","Africa"]
[2009,"Cote d'Ivoire","Planned",5.39,1.08,"LMIC","Africa"]
[2009,"Cote d'Ivoire","Actual",5.17,1.03,"LMIC","Africa"]
[2010,"Cote d'Ivoire","Planned",5.0599999999999996,1,"LMIC","Africa"]
[2010,"Cote d'Ivoire","Actual",4.5999999999999996,0.93,"LMIC","Africa"]
[2011,"Cote d'Ivoire","Planned",5.01,0.9,"LMIC","Africa"]
[2011,"Cote d'Ivoire","Actual",4.4000000000000004,0.82,"LMIC","Africa"]
[2012,"Cote d'Ivoire","Planned",5.33,1.1599999999999999,"LMIC","Africa"]
[2012,"Cote d'Ivoire","Actual",5.34,1.19,"LMIC","Africa"]
[2013,"Cote d'Ivoire","Planned",5.22,1.3,"LMIC","Africa"]
[2013,"Cote d'Ivoire","Actual",5.87,1.29,"LMIC","Africa"]
[2014,"Cote d'Ivoire","Planned",6.05,1.47,"LMIC","Africa"]
[2014,"Cote d'Ivoire","Actual",6.22,1.31,"LMIC","Africa"]
[2015,"Cote d'Ivoire","Planned",7.12,1.64,"LMIC","Africa"]
[2015,"Cote d'Ivoire","Actual",6.6,1.5,"LMIC","Africa"]
[2016,"Cote d'Ivoire","Planned",6.7,1.67,"LMIC","Africa"]
[2016,"Cote d'Ivoire","Actual",7.27,1.74,"LMIC","Africa"]
[2017,"Cote d'Ivoire","Planned",6.5,1.68,"LMIC","Africa"]
[2017,"Cote d'Ivoire","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Cote d'Ivoire","Planned",5.09,1.44,"LMIC","Africa"]
[2018,"Cote d'Ivoire","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Cote d'Ivoire","Planned",5.22,1.47,"LMIC","Africa"]
[2008,"Djibouti","Planned",14.8,3.43,"LMIC","Africa"]
[2008,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Djibouti","Planned",12.05,3.41,"LMIC","Africa"]
[2009,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Djibouti","Planned",11.09,3.07,"LMIC","Africa"]
[2010,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2012,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Djibouti","Planned",8.09,2.0699999999999998,"LMIC","Africa"]
[2013,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2016,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2017,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2011,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2012,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2012,"Dominican Republic","Actual","NULL",1.79,"UMIC","LAC"]
[2013,"Dominican Republic","Planned",7.86,1.59,"UMIC","LAC"]
[2013,"Dominican Republic","Actual","NULL",1.58,"UMIC","LAC"]
[2014,"Dominican Republic","Planned",8.1999999999999993,1.72,"UMIC","LAC"]
[2014,"Dominican Republic","Actual","NULL",1.77,"UMIC","LAC"]
[2015,"Dominican Republic","Planned",9.34,1.84,"UMIC","LAC"]
[2015,"Dominican Republic","Actual","NULL",1.75,"UMIC","LAC"]
[2016,"Dominican Republic","Planned",9.0500000000000007,1.72,"UMIC","LAC"]
[2016,"Dominican Republic","Actual","NULL",1.59,"UMIC","LAC"]
[2017,"Dominican Republic","Planned",10.11,1.89,"UMIC","LAC"]
[2017,"Dominican Republic","Actual","NULL",1.78,"UMIC","LAC"]
[2018,"Dominican Republic","Planned",11.34,1.85,"UMIC","LAC"]
[2018,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Dominican Republic","Planned",8.24,1.67,"UMIC","LAC"]
[2008,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2011,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2012,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2012,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2013,"Ecuador","Planned",6.4,2.0699999999999998,"UMIC","LAC"]
[2013,"Ecuador","Actual",6.59,2.14,"UMIC","LAC"]
[2014,"Ecuador","Planned",7.77,2.39,"UMIC","LAC"]
[2014,"Ecuador","Actual",7.11,2.2799999999999998,"UMIC","LAC"]
[2015,"Ecuador","Planned",8.02,2.93,"UMIC","LAC"]
[2015,"Ecuador","Actual",8.19,2.48,"UMIC","LAC"]
[2016,"Ecuador","Planned",8.01,2.39,"UMIC","LAC"]
[2016,"Ecuador","Actual","NULL",2.5099999999999998,"UMIC","LAC"]
[2017,"Ecuador","Planned",7.55,2.66,"UMIC","LAC"]
[2017,"Ecuador","Actual",8.1199999999999992,2.7,"UMIC","LAC"]
[2018,"Ecuador","Planned",10.25,3.3,"UMIC","LAC"]
[2018,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Ecuador","Planned",8.92,2.94,"UMIC","LAC"]
[2008,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2008,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2009,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2009,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2010,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2010,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2011,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2011,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2012,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2012,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2013,"El Salvador","Planned",10.96,2.87,"LMIC","LAC"]
[2013,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2014,"El Salvador","Planned",10.96,2.79,"LMIC","LAC"]
[2014,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2015,"El Salvador","Planned",11.23,2.93,"LMIC","LAC"]
[2015,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2016,"El Salvador","Planned",11.17,2.92,"LMIC","LAC"]
[2016,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2017,"El Salvador","Planned",10.53,2.83,"LMIC","LAC"]
[2017,"El Salvador","Actual",9.94,2.48,"LMIC","LAC"]
[2018,"El Salvador","Planned",10.69,2.68,"LMIC","LAC"]
[2018,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2019,"El Salvador","Planned",10.78,2.76,"LMIC","LAC"]
[2008,"Eswatini","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Eswatini","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Eswatini","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Eswatini","Planned",9.9499999999999993,2.84,"LMIC","Africa"]
[2011,"Eswatini","Actual",11.97,3.61,"LMIC","Africa"]
[2012,"Eswatini","Planned",14.82,3.89,"LMIC","Africa"]
[2012,"Eswatini","Actual",15.25,3.38,"LMIC","Africa"]
[2013,"Eswatini","Planned",11.01,2.92,"LMIC","Africa"]
[2013,"Eswatini","Actual",15.06,3.47,"LMIC","Africa"]
[2014,"Eswatini","Planned",11.55,3.12,"LMIC","Africa"]
[2014,"Eswatini","Actual",11.49,3.02,"LMIC","Africa"]
[2015,"Eswatini","Planned",10.91,3.14,"LMIC","Africa"]
[2015,"Eswatini","Actual",10.57,3.05,"LMIC","Africa"]
[2016,"Eswatini","Planned",11.43,3.19,"LMIC","Africa"]
[2016,"Eswatini","Actual",11.75,3.49,"LMIC","Africa"]
[2017,"Eswatini","Planned",9.91,3.41,"LMIC","Africa"]
[2017,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Eswatini","Planned",9.27,3.18,"LMIC","Africa"]
[2018,"Eswatini","Actual",14.72,4.54,"LMIC","Africa"]
[2019,"Eswatini","Planned",15.35,4.5199999999999996,"LMIC","Africa"]
[2019,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2008,"Ethiopia","Planned",7.47,1.71,"LIC","Africa"]
[2008,"Ethiopia","Actual",7.26,1.49,"LIC","Africa"]
[2009,"Ethiopia","Planned",7.63,1.47,"LIC","Africa"]
[2009,"Ethiopia","Actual",6.62,1.1499999999999999,"LIC","Africa"]
[2010,"Ethiopia","Planned",6.94,1.38,"LIC","Africa"]
[2010,"Ethiopia","Actual",6.38,1.2,"LIC","Africa"]
[2011,"Ethiopia","Planned",7.68,1.4,"LIC","Africa"]
[2011,"Ethiopia","Actual",6.72,1.25,"LIC","Africa"]
[2012,"Ethiopia","Planned",6.64,1.24,"LIC","Africa"]
[2012,"Ethiopia","Actual","NULL","NULL","LIC","Africa"]
[2013,"Ethiopia","Planned",7.3,1.41,"LIC","Africa"]
[2013,"Ethiopia","Actual","NULL","NULL","LIC","Africa"]
[2014,"Ethiopia","Planned",7.64,1.4,"LIC","Africa"]
[2014,"Ethiopia","Actual",7.36,1.29,"LIC","Africa"]
[2015,"Ethiopia","Planned",8.31,1.47,"LIC","Africa"]
[2015,"Ethiopia","Actual",8.2200000000000006,1.46,"LIC","Africa"]
[2016,"Ethiopia","Planned",8.9499999999999993,1.64,"LIC","Africa"]
[2016,"Ethiopia","Actual",7.21,1.38,"LIC","Africa"]
[2017,"Ethiopia","Planned",8.24,1.59,"LIC","Africa"]
[2017,"Ethiopia","Actual",7.81,1.42,"LIC","Africa"]
[2018,"Ethiopia","Planned",8.66,1.58,"LIC","Africa"]
[2018,"Ethiopia","Actual","NULL",1.49,"LIC","Africa"]
[2019,"Ethiopia","Planned",10.33,1.55,"LIC","Africa"]
[2008,"Fiji","Planned","NULL","NULL","UMIC","Asia"]
[2008,"Fiji","Actual","NULL","NULL","UMIC","Asia"]
[2009,"Fiji","Planned","NULL","NULL","UMIC","Asia"]
[2009,"Fiji","Actual","NULL","NULL","UMIC","Asia"]
[2010,"Fiji","Planned","NULL","NULL","UMIC","Asia"]
[2010,"Fiji","Actual",8.66,2.2200000000000002,"UMIC","Asia"]
[2011,"Fiji","Planned",6.58,1.76,"UMIC","Asia"]
[2011,"Fiji","Actual",7.55,1.95,"UMIC","Asia"]
[2012,"Fiji","Planned",6.92,1.87,"UMIC","Asia"]
[2012,"Fiji","Actual",11.66,3.04,"UMIC","Asia"]
[2013,"Fiji","Planned",12.5,3.48,"UMIC","Asia"]
[2013,"Fiji","Actual",7.68,1.96,"UMIC","Asia"]
[2014,"Fiji","Planned",7.23,2.2799999999999998,"UMIC","Asia"]
[2014,"Fiji","Actual",7.43,2.21,"UMIC","Asia"]
[2015,"Fiji","Planned",7.53,2.56,"UMIC","Asia"]
[2015,"Fiji","Actual",7.91,2.19,"UMIC","Asia"]
[2016,"Fiji","Planned",7.86,2.6,"UMIC","Asia"]
[2016,"Fiji","Actual",7.52,2.36,"UMIC","Asia"]
[2017,"Fiji","Planned",6.38,2.1,"UMIC","Asia"]
[2017,"Fiji","Actual",6.93,1.9,"UMIC","Asia"]
[2018,"Fiji","Planned",7.18,2.67,"UMIC","Asia"]
[2018,"Fiji","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Fiji","Planned",6.85,2.48,"UMIC","Asia"]
[2008,"Gambia, The","Planned",5.59,0.84,"LIC","Africa"]
[2008,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2009,"Gambia, The","Planned",7.33,1.02,"LIC","Africa"]
[2009,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2010,"Gambia, The","Planned",7.01,0.94,"LIC","Africa"]
[2010,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2011,"Gambia, The","Planned",7.19,1.06,"LIC","Africa"]
[2011,"Gambia, The","Actual",6.18,1.02,"LIC","Africa"]
[2012,"Gambia, The","Planned",5.74,0.93,"LIC","Africa"]
[2012,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2013,"Gambia, The","Planned","NULL","NULL","LIC","Africa"]
[2013,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2014,"Gambia, The","Planned","NULL",1.2,"LIC","Africa"]
[2014,"Gambia, The","Actual",5.37,1.17,"LIC","Africa"]
[2015,"Gambia, The","Planned",6.2,1.21,"LIC","Africa"]
[2015,"Gambia, The","Actual",5.94,1.1599999999999999,"LIC","Africa"]
[2016,"Gambia, The","Planned","NULL","NULL","LIC","Africa"]
[2016,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2017,"Gambia, The","Planned","NULL","NULL","LIC","Africa"]
[2017,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2018,"Gambia, The","Planned",7.23,1.9,"LIC","Africa"]
[2018,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2019,"Gambia, The","Planned",7.47,2.4,"LIC","Africa"]
[2008,"Ghana","Planned",11.63,1.85,"LMIC","Africa"]
[2008,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Ghana","Planned",10.43,1.88,"LMIC","Africa"]
[2009,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Ghana","Planned",11.08,1.96,"LMIC","Africa"]
[2010,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Ghana","Planned",7.75,1.22,"LMIC","Africa"]
[2011,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Ghana","Planned",10.27,1.77,"LMIC","Africa"]
[2012,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Ghana","Planned",12.53,2.85,"LMIC","Africa"]
[2013,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Ghana","Planned",10.54,2.16,"LMIC","Africa"]
[2014,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Ghana","Planned",7.84,1.7,"LMIC","Africa"]
[2015,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Ghana","Planned",7.78,1.57,"LMIC","Africa"]
[2016,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Ghana","Planned",7.77,1.65,"LMIC","Africa"]
[2017,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Ghana","Planned",7.23,1.47,"LMIC","Africa"]
[2018,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Ghana","Planned",8.3000000000000007,1.74,"LMIC","Africa"]
[2008,"Guatemala","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Guatemala","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Guatemala","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Guatemala","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Guatemala","Planned",9.57,1.31,"UMIC","LAC"]
[2010,"Guatemala","Actual",8.86,1.29,"UMIC","LAC"]
[2011,"Guatemala","Planned",7.89,1.08,"UMIC","LAC"]
[2011,"Guatemala","Actual",7.62,1.1000000000000001,"UMIC","LAC"]
[2012,"Guatemala","Planned",7.68,1.1100000000000001,"UMIC","LAC"]
[2012,"Guatemala","Actual",7.57,1.06,"UMIC","LAC"]
[2013,"Guatemala","Planned",8.18,1.23,"UMIC","LAC"]
[2013,"Guatemala","Actual",8.24,1.1299999999999999,"UMIC","LAC"]
[2014,"Guatemala","Planned",7.58,1.1200000000000001,"UMIC","LAC"]
[2014,"Guatemala","Actual",8.01,1.07,"UMIC","LAC"]
[2015,"Guatemala","Planned",8.11,1.1399999999999999,"UMIC","LAC"]
[2015,"Guatemala","Actual",7.99,0.98,"UMIC","LAC"]
[2016,"Guatemala","Planned",8.19,1.04,"UMIC","LAC"]
[2016,"Guatemala","Actual",9.14,1.1100000000000001,"UMIC","LAC"]
[2017,"Guatemala","Planned",8.9600000000000009,1.24,"UMIC","LAC"]
[2017,"Guatemala","Actual",8.25,1.06,"UMIC","LAC"]
[2018,"Guatemala","Planned",8.9600000000000009,1.17,"UMIC","LAC"]
[2018,"Guatemala","Actual",8.43,1.08,"UMIC","LAC"]
[2019,"Guatemala","Planned",11.03,1.29,"UMIC","LAC"]
[2008,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2008,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2009,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2009,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2010,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2010,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2011,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2011,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2012,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2012,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2013,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2013,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2014,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2014,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2015,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2015,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2016,"Guinea","Planned",6.89,1.1299999999999999,"LIC","Africa"]
[2016,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2017,"Guinea","Planned",9.8699999999999992,1.56,"LIC","Africa"]
[2017,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2018,"Guinea","Planned",6.47,1.2,"LIC","Africa"]
[2018,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2019,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2008,"Guinea-Bissau","Planned",7.51,1.46,"LIC","Africa"]
[2008,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2009,"Guinea-Bissau","Planned",5.09,1.52,"LIC","Africa"]
[2009,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2010,"Guinea-Bissau","Planned",7.7,1.82,"LIC","Africa"]
[2010,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2011,"Guinea-Bissau","Planned",5.71,1.03,"LIC","Africa"]
[2011,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2012,"Guinea-Bissau","Planned",6.37,1.44,"LIC","Africa"]
[2012,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2013,"Guinea-Bissau","Planned",9.0299999999999994,1.78,"LIC","Africa"]
[2013,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2014,"Guinea-Bissau","Planned",6.91,1.28,"LIC","Africa"]
[2014,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2015,"Guinea-Bissau","Planned",7.97,1.51,"LIC","Africa"]
[2015,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2016,"Guinea-Bissau","Planned","NULL","NULL","LIC","Africa"]
[2016,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2017,"Guinea-Bissau","Planned","NULL","NULL","LIC","Africa"]
[2017,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2018,"Guinea-Bissau","Planned","NULL","NULL","LIC","Africa"]
[2018,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2019,"Guinea-Bissau","Planned","NULL","NULL","LIC","Africa"]
[2008,"Guyana","Planned",10.49,3.09,"UMIC","LAC"]
[2008,"Guyana","Actual",9.65,2.82,"UMIC","LAC"]
[2009,"Guyana","Planned",10.01,3.1,"UMIC","LAC"]
[2009,"Guyana","Actual",10.01,3.09,"UMIC","LAC"]
[2010,"Guyana","Planned",9.76,2.88,"UMIC","LAC"]
[2010,"Guyana","Actual",10.039999999999999,2.9,"UMIC","LAC"]
[2011,"Guyana","Planned",8.86,2.66,"UMIC","LAC"]
[2011,"Guyana","Actual",9.61,2.75,"UMIC","LAC"]
[2012,"Guyana","Planned",8.93,2.9,"UMIC","LAC"]
[2012,"Guyana","Actual",9.99,2.93,"UMIC","LAC"]
[2013,"Guyana","Planned",9.36,3.13,"UMIC","LAC"]
[2013,"Guyana","Actual",10.29,2.89,"UMIC","LAC"]
[2014,"Guyana","Planned",9.94,3.38,"UMIC","LAC"]
[2014,"Guyana","Actual",11.36,3.3,"UMIC","LAC"]
[2015,"Guyana","Planned",12.09,3.52,"UMIC","LAC"]
[2015,"Guyana","Actual",12.38,3.34,"UMIC","LAC"]
[2016,"Guyana","Planned",12.54,3.87,"UMIC","LAC"]
[2016,"Guyana","Actual",12.76,3.82,"UMIC","LAC"]
[2017,"Guyana","Planned",12.86,4.1900000000000004,"UMIC","LAC"]
[2017,"Guyana","Actual",12.81,4.13,"UMIC","LAC"]
[2018,"Guyana","Planned",12.97,4.13,"UMIC","LAC"]
[2018,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Guyana","Planned",12.34,4.21,"UMIC","LAC"]
[2008,"Haiti","Planned",3.15,0.97,"LIC","LAC"]
[2008,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2009,"Haiti","Planned",11.44,3.27,"LIC","LAC"]
[2009,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2010,"Haiti","Planned",9.65,3.19,"LIC","LAC"]
[2010,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2011,"Haiti","Planned",5.9,2.0499999999999998,"LIC","LAC"]
[2011,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2012,"Haiti","Planned",4.59,1.65,"LIC","LAC"]
[2012,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2013,"Haiti","Planned",6.3,2.2400000000000002,"LIC","LAC"]
[2013,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2014,"Haiti","Planned",2.29,0.72,"LIC","LAC"]
[2014,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2015,"Haiti","Planned",3.62,1.01,"LIC","LAC"]
[2015,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2016,"Haiti","Planned",5.71,1.42,"LIC","LAC"]
[2016,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2017,"Haiti","Planned",4.88,1.04,"LIC","LAC"]
[2017,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2018,"Haiti","Planned",4.33,1.02,"LIC","LAC"]
[2018,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2019,"Haiti","Planned",7.84,2.0499999999999998,"LIC","LAC"]
[2008,"Honduras","Planned",12.82,2.82,"LMIC","LAC"]
[2008,"Honduras","Actual",12.27,2.74,"LMIC","LAC"]
[2009,"Honduras","Planned",14.1,3.29,"LMIC","LAC"]
[2009,"Honduras","Actual",14.74,3.4,"LMIC","LAC"]
[2010,"Honduras","Planned",14.93,3.35,"LMIC","LAC"]
[2010,"Honduras","Actual",14.73,3.19,"LMIC","LAC"]
[2011,"Honduras","Planned",14.47,2.91,"LMIC","LAC"]
[2011,"Honduras","Actual",13.9,3,"LMIC","LAC"]
[2012,"Honduras","Planned",14.93,2.95,"LMIC","LAC"]
[2012,"Honduras","Actual",13.06,2.96,"LMIC","LAC"]
[2013,"Honduras","Planned",6.81,2.99,"LMIC","LAC"]
[2013,"Honduras","Actual",6.58,2.85,"LMIC","LAC"]
[2014,"Honduras","Planned",6.84,3.03,"LMIC","LAC"]
[2014,"Honduras","Actual",5.96,2.61,"LMIC","LAC"]
[2015,"Honduras","Planned",6.77,2.73,"LMIC","LAC"]
[2015,"Honduras","Actual",6.44,2.54,"LMIC","LAC"]
[2016,"Honduras","Planned",6.78,2.82,"LMIC","LAC"]
[2016,"Honduras","Actual",5.97,2.73,"LMIC","LAC"]
[2017,"Honduras","Planned",9.06,3.82,"LMIC","LAC"]
[2017,"Honduras","Actual",6.21,2.5299999999999998,"LMIC","LAC"]
[2018,"Honduras","Planned",5.96,2.5299999999999998,"LMIC","LAC"]
[2018,"Honduras","Actual",5.77,2.39,"LMIC","LAC"]
[2019,"Honduras","Planned",5.64,2.42,"LMIC","LAC"]
[2008,"India","Planned",4.38,1,"LMIC","Asia"]
[2008,"India","Actual",4.18,0.92,"LMIC","Asia"]
[2009,"India","Planned",4.46,1.01,"LMIC","Asia"]
[2009,"India","Actual",4.03,0.94,"LMIC","Asia"]
[2010,"India","Planned",4.2300000000000004,0.98,"LMIC","Asia"]
[2010,"India","Actual",4.17,0.97,"LMIC","Asia"]
[2011,"India","Planned",4.13,0.94,"LMIC","Asia"]
[2011,"India","Actual",4.0999999999999996,0.99,"LMIC","Asia"]
[2012,"India","Planned",3.68,0.87,"LMIC","Asia"]
[2012,"India","Actual",4.03,0.96,"LMIC","Asia"]
[2013,"India","Planned",4.17,1.05,"LMIC","Asia"]
[2013,"India","Actual",4.09,0.96,"LMIC","Asia"]
[2014,"India","Planned",4.2699999999999996,1.1000000000000001,"LMIC","Asia"]
[2014,"India","Actual",4.09,0.97,"LMIC","Asia"]
[2015,"India","Planned",4.28,1.1000000000000001,"LMIC","Asia"]
[2015,"India","Actual",3.44,0.95,"LMIC","Asia"]
[2016,"India","Planned",4.58,1.1299999999999999,"LMIC","Asia"]
[2016,"India","Actual",3.86,1.01,"LMIC","Asia"]
[2017,"India","Planned",4.05,1.17,"LMIC","Asia"]
[2017,"India","Actual",4,1.1200000000000001,"LMIC","Asia"]
[2018,"India","Planned",4.26,1.21,"LMIC","Asia"]
[2018,"India","Actual",4,1.1299999999999999,"LMIC","Asia"]
[2019,"India","Planned",3.98,1.22,"LMIC","Asia"]
[2019,"India","Actual","NULL","NULL","LMIC","Asia"]
[2008,"Jamaica","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Jamaica","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Jamaica","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Jamaica","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Jamaica","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Jamaica","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Jamaica","Planned",7.66,2.5099999999999998,"UMIC","LAC"]
[2011,"Jamaica","Actual",7.01,2.81,"UMIC","LAC"]
[2012,"Jamaica","Planned",8.5500000000000007,2.7,"UMIC","LAC"]
[2012,"Jamaica","Actual",9.16,2.88,"UMIC","LAC"]
[2013,"Jamaica","Planned",8.33,2.44,"UMIC","LAC"]
[2013,"Jamaica","Actual",9.16,2.64,"UMIC","LAC"]
[2014,"Jamaica","Planned",9.1199999999999992,2.5099999999999998,"UMIC","LAC"]
[2014,"Jamaica","Actual",10.98,2.77,"UMIC","LAC"]
[2015,"Jamaica","Planned",9.01,2.44,"UMIC","LAC"]
[2015,"Jamaica","Actual",10.81,2.8,"UMIC","LAC"]
[2016,"Jamaica","Planned",11.51,3.12,"UMIC","LAC"]
[2016,"Jamaica","Actual",12.85,3.34,"UMIC","LAC"]
[2017,"Jamaica","Planned",11.87,3.09,"UMIC","LAC"]
[2017,"Jamaica","Actual",13.24,3.49,"UMIC","LAC"]
[2018,"Jamaica","Planned",12.51,3.31,"UMIC","LAC"]
[2018,"Jamaica","Actual",13.66,3.82,"UMIC","LAC"]
[2019,"Jamaica","Planned",11.99,3.46,"UMIC","LAC"]
[2019,"Jamaica","Actual","NULL","NULL","UMIC","LAC"]
[2008,"Jordan","Planned","NULL","NULL","UMIC","Middle East"]
[2008,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2009,"Jordan","Planned","NULL","NULL","UMIC","Middle East"]
[2009,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2010,"Jordan","Planned","NULL","NULL","UMIC","Middle East"]
[2010,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2011,"Jordan","Planned",10.23,3.16,"UMIC","Middle East"]
[2011,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2012,"Jordan","Planned",9.36,2.87,"UMIC","Middle East"]
[2012,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2013,"Jordan","Planned",9.6999999999999993,2.99,"UMIC","Middle East"]
[2013,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2014,"Jordan","Planned",11.25,3.53,"UMIC","Middle East"]
[2014,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2015,"Jordan","Planned",11.25,3.29,"UMIC","Middle East"]
[2015,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2016,"Jordan","Planned",10.97,3.35,"UMIC","Middle East"]
[2016,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2017,"Jordan","Planned",9.4700000000000006,2.89,"UMIC","Middle East"]
[2017,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2018,"Jordan","Planned",13.45,4.05,"UMIC","Middle East"]
[2018,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2019,"Jordan","Planned",12.17,3.6,"UMIC","Middle East"]
[2008,"Kenya","Planned",5.92,1.75,"LMIC","Africa"]
[2008,"Kenya","Actual",4.33,1.18,"LMIC","Africa"]
[2009,"Kenya","Planned",5.32,1.65,"LMIC","Africa"]
[2009,"Kenya","Actual",5.35,1.47,"LMIC","Africa"]
[2010,"Kenya","Planned",5.94,1.87,"LMIC","Africa"]
[2010,"Kenya","Actual",5.22,1.54,"LMIC","Africa"]
[2011,"Kenya","Planned",6.01,1.98,"LMIC","Africa"]
[2011,"Kenya","Actual",5.2,1.51,"LMIC","Africa"]
[2012,"Kenya","Planned",5.57,1.98,"LMIC","Africa"]
[2012,"Kenya","Actual",6.21,1.82,"LMIC","Africa"]
[2013,"Kenya","Planned",6.28,2.04,"LMIC","Africa"]
[2013,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Kenya","Planned",5.76,1.96,"LMIC","Africa"]
[2014,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Kenya","Planned",3.71,1.1599999999999999,"LMIC","Africa"]
[2015,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Kenya","Planned",3.4,1.06,"LMIC","Africa"]
[2016,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Kenya","Planned",3.48,1.05,"LMIC","Africa"]
[2017,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Kenya","Planned",2.66,0.73,"LMIC","Africa"]
[2018,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Kenya","Planned",3.41,0.97,"LMIC","Africa"]
[2008,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Kiribati","Planned",15.89,13.39,"LMIC","Asia"]
[2010,"Kiribati","Actual",10.28,8.4499999999999993,"LMIC","Asia"]
[2011,"Kiribati","Planned",12.71,12.2,"LMIC","Asia"]
[2011,"Kiribati","Actual",11.47,9.08,"LMIC","Asia"]
[2012,"Kiribati","Planned",11.37,12,"LMIC","Asia"]
[2012,"Kiribati","Actual",10.11,9.0299999999999994,"LMIC","Asia"]
[2013,"Kiribati","Planned",10.72,10.89,"LMIC","Asia"]
[2013,"Kiribati","Actual",9.85,9.2200000000000006,"LMIC","Asia"]
[2014,"Kiribati","Planned",8.98,9.17,"LMIC","Asia"]
[2014,"Kiribati","Actual",10.220000000000001,12.05,"LMIC","Asia"]
[2015,"Kiribati","Planned",9.73,8.69,"LMIC","Asia"]
[2015,"Kiribati","Actual",9.3800000000000008,10.48,"LMIC","Asia"]
[2016,"Kiribati","Planned",9.42,11.74,"LMIC","Asia"]
[2016,"Kiribati","Actual",6.74,8.73,"LMIC","Asia"]
[2017,"Kiribati","Planned",10.4,12.82,"LMIC","Asia"]
[2017,"Kiribati","Actual",9.5299999999999994,11.53,"LMIC","Asia"]
[2018,"Kiribati","Planned",8.92,10.99,"LMIC","Asia"]
[2018,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Kiribati","Planned",7.02,11.75,"LMIC","Asia"]
[2008,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2008,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2009,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2009,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2010,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2010,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2011,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2011,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2012,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2012,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2013,"Kosovo","Planned",9.61,2.86,"UMIC","Europe"]
[2013,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2014,"Kosovo","Planned",10.24,2.92,"UMIC","Europe"]
[2014,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2015,"Kosovo","Planned",10.210000000000001,2.96,"UMIC","Europe"]
[2015,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2016,"Kosovo","Planned",10.62,2.95,"UMIC","Europe"]
[2016,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2017,"Kosovo","Planned",9.07,2.83,"UMIC","Europe"]
[2017,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2018,"Kosovo","Planned",9.9700000000000006,3.09,"UMIC","Europe"]
[2018,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2019,"Kosovo","Planned",10.26,3.41,"UMIC","Europe"]
[2008,"Kyrgyz Republic","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Kyrgyz Republic","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Kyrgyz Republic","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Kyrgyz Republic","Planned",10.73,3.23,"LMIC","Asia"]
[2011,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Kyrgyz Republic","Planned",10.87,3.67,"LMIC","Asia"]
[2012,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Kyrgyz Republic","Planned",11.47,3.43,"LMIC","Asia"]
[2013,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Kyrgyz Republic","Planned",11.2,3.21,"LMIC","Asia"]
[2014,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Kyrgyz Republic","Planned",9.9700000000000006,3.05,"LMIC","Asia"]
[2015,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Kyrgyz Republic","Planned",9.92,3.06,"LMIC","Asia"]
[2016,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Kyrgyz Republic","Planned",9.98,2.82,"LMIC","Asia"]
[2017,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Kyrgyz Republic","Planned",8.56,2.61,"LMIC","Asia"]
[2018,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Kyrgyz Republic","Planned",2.41,0.71,"LMIC","Asia"]
[2008,"Lesotho","Planned",11.59,5.39,"LMIC","Africa"]
[2008,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Lesotho","Planned",10.34,5.8,"LMIC","Africa"]
[2009,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Lesotho","Planned",11.51,7.37,"LMIC","Africa"]
[2010,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Lesotho","Planned",12.62,6.25,"LMIC","Africa"]
[2011,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Lesotho","Planned",13.01,7.33,"LMIC","Africa"]
[2012,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Lesotho","Planned",12.48,6.82,"LMIC","Africa"]
[2013,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Lesotho","Planned",11.97,5.98,"LMIC","Africa"]
[2014,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Lesotho","Planned",11.89,5.71,"LMIC","Africa"]
[2015,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Lesotho","Planned",13.46,5.86,"LMIC","Africa"]
[2016,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Lesotho","Planned",11.81,5.68,"LMIC","Africa"]
[2017,"Lesotho","Actual",10.41,5.2,"LMIC","Africa"]
[2018,"Lesotho","Planned",12.37,5.97,"LMIC","Africa"]
[2018,"Lesotho","Actual",12.31,5.97,"LMIC","Africa"]
[2019,"Lesotho","Planned",13.51,6.17,"LMIC","Africa"]
[2008,"Liberia","Planned",8.15,0.91,"LIC","Africa"]
[2008,"Liberia","Actual",8.4600000000000009,0.99,"LIC","Africa"]
[2009,"Liberia","Planned",7.82,1.31,"LIC","Africa"]
[2009,"Liberia","Actual",7.6,1.06,"LIC","Africa"]
[2010,"Liberia","Planned",7.84,1.35,"LIC","Africa"]
[2010,"Liberia","Actual",6.83,0.96,"LIC","Africa"]
[2011,"Liberia","Planned",10.63,1.64,"LIC","Africa"]
[2011,"Liberia","Actual",8.75,1.4,"LIC","Africa"]
[2012,"Liberia","Planned",9.5299999999999994,1.81,"LIC","Africa"]
[2012,"Liberia","Actual",9.27,1.61,"LIC","Africa"]
[2013,"Liberia","Planned",13.46,2.2799999999999998,"LIC","Africa"]
[2013,"Liberia","Actual",10.94,2.0299999999999998,"LIC","Africa"]
[2014,"Liberia","Planned",13.26,2.06,"LIC","Africa"]
[2014,"Liberia","Actual",10.06,1.38,"LIC","Africa"]
[2015,"Liberia","Planned",12.3,2.4700000000000002,"LIC","Africa"]
[2015,"Liberia","Actual",11.24,2.2000000000000002,"LIC","Africa"]
[2016,"Liberia","Planned",11.63,2.21,"LIC","Africa"]
[2016,"Liberia","Actual",11.24,2.12,"LIC","Africa"]
[2017,"Liberia","Planned",12.9,2.36,"LIC","Africa"]
[2017,"Liberia","Actual",9.73,1.65,"LIC","Africa"]
[2018,"Liberia","Planned",13.67,2.37,"LIC","Africa"]
[2018,"Liberia","Actual","NULL","NULL","LIC","Africa"]
[2019,"Liberia","Planned",17.239999999999998,2.54,"LIC","Africa"]
[2008,"Madagascar","Planned",7.51,1.54,"LIC","Africa"]
[2008,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2009,"Madagascar","Planned",8.06,1.83,"LIC","Africa"]
[2009,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2010,"Madagascar","Planned",6.67,1.19,"LIC","Africa"]
[2010,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2011,"Madagascar","Planned",8.1,1.42,"LIC","Africa"]
[2011,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2012,"Madagascar","Planned",7.04,0.99,"LIC","Africa"]
[2012,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2013,"Madagascar","Planned",7.11,0.95,"LIC","Africa"]
[2013,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2014,"Madagascar","Planned",6.72,0.91,"LIC","Africa"]
[2014,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2015,"Madagascar","Planned",7.13,1.17,"LIC","Africa"]
[2015,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2016,"Madagascar","Planned",6.66,1.07,"LIC","Africa"]
[2016,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2017,"Madagascar","Planned",5.32,1.01,"LIC","Africa"]
[2017,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2018,"Madagascar","Planned",4.9800000000000004,0.94,"LIC","Africa"]
[2018,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2019,"Madagascar","Planned",7,1.26,"LIC","Africa"]
[2008,"Malawi","Planned","NULL","NULL","LIC","Africa"]
[2008,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2009,"Malawi","Planned","NULL","NULL","LIC","Africa"]
[2009,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2010,"Malawi","Planned","NULL","NULL","LIC","Africa"]
[2010,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2011,"Malawi","Planned",15.64,4.04,"LIC","Africa"]
[2011,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2012,"Malawi","Planned",14.08,3.11,"LIC","Africa"]
[2012,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2013,"Malawi","Planned",12.03,2.86,"LIC","Africa"]
[2013,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2014,"Malawi","Planned",11.96,3.4,"LIC","Africa"]
[2014,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2015,"Malawi","Planned",8.0500000000000007,2.12,"LIC","Africa"]
[2015,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2016,"Malawi","Planned",9.5,2.41,"LIC","Africa"]
[2016,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2017,"Malawi","Planned",10.02,2.69,"LIC","Africa"]
[2017,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2018,"Malawi","Planned",9.3800000000000008,2.5499999999999998,"LIC","Africa"]
[2018,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2019,"Malawi","Planned",8.14,2.29,"LIC","Africa"]
[2008,"Mali","Planned",8.02,1.8,"LIC","Africa"]
[2008,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2009,"Mali","Planned",8.1999999999999993,1.87,"LIC","Africa"]
[2009,"Mali","Actual",7.46,1.7,"LIC","Africa"]
[2010,"Mali","Planned",8.24,1.83,"LIC","Africa"]
[2010,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2011,"Mali","Planned",9.24,1.97,"LIC","Africa"]
[2011,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2012,"Mali","Planned",8.0500000000000007,1.88,"LIC","Africa"]
[2012,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2013,"Mali","Planned",11.38,1.84,"LIC","Africa"]
[2013,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2014,"Mali","Planned",8.02,1.51,"LIC","Africa"]
[2014,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2015,"Mali","Planned",7.34,1.45,"LIC","Africa"]
[2015,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2016,"Mali","Planned",7.08,1.49,"LIC","Africa"]
[2016,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2017,"Mali","Planned",6.07,1.54,"LIC","Africa"]
[2017,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2018,"Mali","Planned",5.21,1.27,"LIC","Africa"]
[2018,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2019,"Mali","Planned",4.97,1.17,"LIC","Africa"]
[2008,"Mauritania","Planned",4.0199999999999996,10.61,"LMIC","Africa"]
[2008,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Mauritania","Planned",5.52,16.649999999999999,"LMIC","Africa"]
[2009,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Mauritania","Planned",3.49,8.3000000000000007,"LMIC","Africa"]
[2010,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Mauritania","Planned",3.13,6.17,"LMIC","Africa"]
[2011,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Mauritania","Planned",3.65,8.67,"LMIC","Africa"]
[2012,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2013,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Mauritania","Planned",4.95,13.55,"LMIC","Africa"]
[2016,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Mauritania","Planned",6.59,15.77,"LMIC","Africa"]
[2017,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2018,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Moldova","Planned",14.89,4.6900000000000004,"LMIC","Europe"]
[2008,"Moldova","Actual",12.97,4.49,"LMIC","Europe"]
[2009,"Moldova","Planned",13.73,5.39,"LMIC","Europe"]
[2009,"Moldova","Actual",14.07,5.3,"LMIC","Europe"]
[2010,"Moldova","Planned",13.94,4.78,"LMIC","Europe"]
[2010,"Moldova","Actual",13.63,4.63,"LMIC","Europe"]
[2011,"Moldova","Planned",13.29,4.3899999999999997,"LMIC","Europe"]
[2011,"Moldova","Actual",13.26,4.3099999999999996,"LMIC","Europe"]
[2012,"Moldova","Planned",12.91,4.3499999999999996,"LMIC","Europe"]
[2012,"Moldova","Actual",13.37,4.5,"LMIC","Europe"]
[2013,"Moldova","Planned",12.94,4.21,"LMIC","Europe"]
[2013,"Moldova","Actual",13.48,4.37,"LMIC","Europe"]
[2014,"Moldova","Planned",12.8,4.16,"LMIC","Europe"]
[2014,"Moldova","Actual","NULL","NULL","LMIC","Europe"]
[2015,"Moldova","Planned",11.63,4.01,"LMIC","Europe"]
[2015,"Moldova","Actual",13.96,4.45,"LMIC","Europe"]
[2016,"Moldova","Planned",12.63,4.1500000000000004,"LMIC","Europe"]
[2016,"Moldova","Actual",13.27,4.0199999999999996,"LMIC","Europe"]
[2017,"Moldova","Planned",12.54,4,"LMIC","Europe"]
[2017,"Moldova","Actual",13.22,4.05,"LMIC","Europe"]
[2018,"Moldova","Planned",12.75,4.18,"LMIC","Europe"]
[2018,"Moldova","Actual","NULL","NULL","LMIC","Europe"]
[2019,"Moldova","Planned",12.29,4.0999999999999996,"LMIC","Europe"]
[2008,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Mongolia","Planned",6.65,2.27,"LMIC","Asia"]
[2011,"Mongolia","Actual",6.82,2.59,"LMIC","Asia"]
[2012,"Mongolia","Planned",6.99,2.9,"LMIC","Asia"]
[2012,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Mongolia","Planned",6.99,2.71,"LMIC","Asia"]
[2013,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Mongolia","Planned",7.78,2.5499999999999998,"LMIC","Asia"]
[2014,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Mongolia","Planned",8.32,2.73,"LMIC","Asia"]
[2015,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Mongolia","Planned",8.69,2.89,"LMIC","Asia"]
[2016,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Mongolia","Planned",7.52,2.35,"LMIC","Asia"]
[2017,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Mongolia","Planned",7.57,2.2799999999999998,"LMIC","Asia"]
[2018,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Mongolia","Planned",7.66,2.2599999999999998,"LMIC","Asia"]
[2008,"Mozambique","Planned",12.43,3.65,"LIC","Africa"]
[2008,"Mozambique","Actual",10.9,2.56,"LIC","Africa"]
[2009,"Mozambique","Planned",12.59,3.83,"LIC","Africa"]
[2009,"Mozambique","Actual",9.32,2.46,"LIC","Africa"]
[2010,"Mozambique","Planned",8.73,2.87,"LIC","Africa"]
[2010,"Mozambique","Actual",7.86,2.35,"LIC","Africa"]
[2011,"Mozambique","Planned",8.66,2.92,"LIC","Africa"]
[2011,"Mozambique","Actual",7.71,2.46,"LIC","Africa"]
[2012,"Mozambique","Planned",8.33,2.93,"LIC","Africa"]
[2012,"Mozambique","Actual",11.36,3.6,"LIC","Africa"]
[2013,"Mozambique","Planned",8.9499999999999993,3.09,"LIC","Africa"]
[2013,"Mozambique","Actual",11.47,4.33,"LIC","Africa"]
[2014,"Mozambique","Planned",8.81,3.59,"LIC","Africa"]
[2014,"Mozambique","Actual",8.42,3.25,"LIC","Africa"]
[2015,"Mozambique","Planned",8.89,3.4,"LIC","Africa"]
[2015,"Mozambique","Actual",9.11,3.09,"LIC","Africa"]
[2016,"Mozambique","Planned",8.86,3.14,"LIC","Africa"]
[2016,"Mozambique","Actual",8.82,2.83,"LIC","Africa"]
[2017,"Mozambique","Planned",7.77,2.63,"LIC","Africa"]
[2017,"Mozambique","Actual",7.89,2.42,"LIC","Africa"]
[2018,"Mozambique","Planned",8.7799999999999994,3.04,"LIC","Africa"]
[2018,"Mozambique","Actual","NULL","NULL","LIC","Africa"]
[2019,"Mozambique","Planned",8.2200000000000006,2.96,"LIC","Africa"]
[2008,"Nepal","Planned","NULL","NULL","LIC","Asia"]
[2008,"Nepal","Actual","NULL",1.26,"LIC","Asia"]
[2009,"Nepal","Planned",7.44,1.58,"LIC","Asia"]
[2009,"Nepal","Actual",7.06,1.35,"LIC","Asia"]
[2010,"Nepal","Planned",7.1,1.57,"LIC","Asia"]
[2010,"Nepal","Actual",8.09,1.51,"LIC","Asia"]
[2011,"Nepal","Planned",8.14,1.79,"LIC","Asia"]
[2011,"Nepal","Actual",7.45,1.45,"LIC","Asia"]
[2012,"Nepal","Planned",8.15,1.78,"LIC","Asia"]
[2012,"Nepal","Actual",7.76,1.5,"LIC","Asia"]
[2013,"Nepal","Planned",5.95,1.33,"LIC","Asia"]
[2013,"Nepal","Actual",7.24,1.29,"LIC","Asia"]
[2014,"Nepal","Planned",7.68,1.72,"LIC","Asia"]
[2014,"Nepal","Actual",7.16,1.35,"LIC","Asia"]
[2015,"Nepal","Planned",7.32,1.77,"LIC","Asia"]
[2015,"Nepal","Actual",6.88,1.38,"LIC","Asia"]
[2016,"Nepal","Planned",5.04,1.83,"LIC","Asia"]
[2016,"Nepal","Actual",5.66,1.51,"LIC","Asia"]
[2017,"Nepal","Planned",4.62,1.81,"LIC","Asia"]
[2017,"Nepal","Actual",4.6900000000000004,1.46,"LIC","Asia"]
[2018,"Nepal","Planned",3.21,1.36,"LIC","Asia"]
[2018,"Nepal","Actual","NULL","NULL","LIC","Asia"]
[2019,"Nepal","Planned",4.97,1.89,"LIC","Asia"]
[2019,"Nepal","Actual","NULL","NULL","LIC","Asia"]
[2008,"Nicaragua","Planned",16.23,2.82,"LMIC","LAC"]
[2008,"Nicaragua","Actual",16.25,2.78,"LMIC","LAC"]
[2009,"Nicaragua","Planned",15.96,3.08,"LMIC","LAC"]
[2009,"Nicaragua","Actual",17.170000000000002,3.04,"LMIC","LAC"]
[2010,"Nicaragua","Planned",16.66,2.77,"LMIC","LAC"]
[2010,"Nicaragua","Actual",16.52,2.8,"LMIC","LAC"]
[2011,"Nicaragua","Planned",16.18,2.64,"LMIC","LAC"]
[2011,"Nicaragua","Actual",16.52,2.77,"LMIC","LAC"]
[2012,"Nicaragua","Planned",17.46,2.98,"LMIC","LAC"]
[2012,"Nicaragua","Actual",17.57,3.01,"LMIC","LAC"]
[2013,"Nicaragua","Planned",18.079999999999998,3.18,"LMIC","LAC"]
[2013,"Nicaragua","Actual",17.760000000000002,3.04,"LMIC","LAC"]
[2014,"Nicaragua","Planned",17.29,3.13,"LMIC","LAC"]
[2014,"Nicaragua","Actual",18.829999999999998,3.34,"LMIC","LAC"]
[2015,"Nicaragua","Planned",17.98,3.16,"LMIC","LAC"]
[2015,"Nicaragua","Actual",18.41,3.37,"LMIC","LAC"]
[2016,"Nicaragua","Planned",18.03,3.41,"LMIC","LAC"]
[2016,"Nicaragua","Actual","NULL","NULL","LMIC","LAC"]
[2017,"Nicaragua","Planned",17.36,3.34,"LMIC","LAC"]
[2017,"Nicaragua","Actual","NULL","NULL","LMIC","LAC"]
[2018,"Nicaragua","Planned",17.399999999999999,3.66,"LMIC","LAC"]
[2018,"Nicaragua","Actual","NULL","NULL","LMIC","LAC"]
[2019,"Nicaragua","Planned",17.559999999999999,3.38,"LMIC","LAC"]
[2008,"Niger","Planned",10.44,2.31,"LIC","Africa"]
[2008,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2009,"Niger","Planned",10.050000000000001,2.76,"LIC","Africa"]
[2009,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2010,"Niger","Planned",9.64,2.0499999999999998,"LIC","Africa"]
[2010,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2011,"Niger","Planned",4.63,1.17,"LIC","Africa"]
[2011,"Niger","Actual",5.13,1.07,"LIC","Africa"]
[2012,"Niger","Planned",6.7,1.88,"LIC","Africa"]
[2012,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2013,"Niger","Planned",6.84,1.9,"LIC","Africa"]
[2013,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2014,"Niger","Planned",6.23,2.2999999999999998,"LIC","Africa"]
[2014,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2015,"Niger","Planned","NULL","NULL","LIC","Africa"]
[2015,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2016,"Niger","Planned",7.51,1.96,"LIC","Africa"]
[2016,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2017,"Niger","Planned",9.2200000000000006,2.62,"LIC","Africa"]
[2017,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2018,"Niger","Planned",6.33,2.12,"LIC","Africa"]
[2018,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2019,"Niger","Planned",7.08,2.4,"LIC","Africa"]
[2008,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Nigeria","Actual",4.09,0.8,"LMIC","Africa"]
[2009,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Nigeria","Actual",4.03,0.66,"LMIC","Africa"]
[2010,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Nigeria","Actual",3.12,0.49,"LMIC","Africa"]
[2011,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Nigeria","Actual",4,0.61,"LMIC","Africa"]
[2012,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2012,"Nigeria","Actual",3.57,0.5,"LMIC","Africa"]
[2013,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2013,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2016,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2017,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Occupied Palestinian Territory","Planned","NULL","NULL","LMIC","Middle East"]
[2008,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2009,"Occupied Palestinian Territory","Planned","NULL","NULL","LMIC","Middle East"]
[2009,"Occupied Palestinian Territory","Actual",9.3699999999999992,5.01,"LMIC","Middle East"]
[2010,"Occupied Palestinian Territory","Planned",9.2100000000000009,4.3099999999999996,"LMIC","Middle East"]
[2010,"Occupied Palestinian Territory","Actual",10.37,4.1900000000000004,"LMIC","Middle East"]
[2011,"Occupied Palestinian Territory","Planned","NULL","NULL","LMIC","Middle East"]
[2011,"Occupied Palestinian Territory","Actual",9.27,3.5,"LMIC","Middle East"]
[2012,"Occupied Palestinian Territory","Planned",9.69,3.01,"LMIC","Middle East"]
[2012,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2013,"Occupied Palestinian Territory","Planned",9.69,3.11,"LMIC","Middle East"]
[2013,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2014,"Occupied Palestinian Territory","Planned",9.32,3.11,"LMIC","Middle East"]
[2014,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2015,"Occupied Palestinian Territory","Planned",8.92,3.53,"LMIC","Middle East"]
[2015,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2016,"Occupied Palestinian Territory","Planned",9.7799999999999994,3.3,"LMIC","Middle East"]
[2016,"Occupied Palestinian Territory","Actual","NULL",2.4700000000000002,"LMIC","Middle East"]
[2017,"Occupied Palestinian Territory","Planned",9.7100000000000009,3.31,"LMIC","Middle East"]
[2017,"Occupied Palestinian Territory","Actual","NULL",2.4900000000000002,"LMIC","Middle East"]
[2018,"Occupied Palestinian Territory","Planned",9.76,3.36,"LMIC","Middle East"]
[2018,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2019,"Occupied Palestinian Territory","Planned",9.8832540911101283,3.2980038741813491,"LMIC","Middle East"]
[2008,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2011,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2012,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2013,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Pakistan","Planned",2.98,0.78,"LMIC","Asia"]
[2014,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Pakistan","Planned",3.16,0.79,"LMIC","Asia"]
[2015,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Pakistan","Planned",3.08,0.79,"LMIC","Asia"]
[2016,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Pakistan","Planned",3.42,0.87,"LMIC","Asia"]
[2017,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Pakistan","Planned",4.4000000000000004,1.1299999999999999,"LMIC","Asia"]
[2018,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Pakistan","Planned",4.0999999999999996,1.03,"LMIC","Asia"]
[2008,"Papua New Guinea","Planned",8.6300000000000008,1.92,"LMIC","Asia"]
[2008,"Papua New Guinea","Actual",8.82,1.94,"LMIC","Asia"]
[2009,"Papua New Guinea","Planned",9.69,2.02,"LMIC","Asia"]
[2009,"Papua New Guinea","Actual",10.62,2.0699999999999998,"LMIC","Asia"]
[2010,"Papua New Guinea","Planned",11.56,2.23,"LMIC","Asia"]
[2010,"Papua New Guinea","Actual",11.9,2.13,"LMIC","Asia"]
[2011,"Papua New Guinea","Planned",11.99,2.62,"LMIC","Asia"]
[2011,"Papua New Guinea","Actual",10.59,2.2200000000000002,"LMIC","Asia"]
[2012,"Papua New Guinea","Planned",10.25,2.48,"LMIC","Asia"]
[2012,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Papua New Guinea","Planned",8.3800000000000008,2.29,"LMIC","Asia"]
[2013,"Papua New Guinea","Actual",8.85,2.3199999999999998,"LMIC","Asia"]
[2014,"Papua New Guinea","Planned",9.1,2.44,"LMIC","Asia"]
[2014,"Papua New Guinea","Actual",10.14,2.74,"LMIC","Asia"]
[2015,"Papua New Guinea","Planned",10.01,2.7,"LMIC","Asia"]
[2015,"Papua New Guinea","Actual",9.02,2.0699999999999998,"LMIC","Asia"]
[2016,"Papua New Guinea","Planned",10.55,2.39,"LMIC","Asia"]
[2016,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Papua New Guinea","Planned",9.99,1.87,"LMIC","Asia"]
[2017,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Papua New Guinea","Planned",8.1199999999999992,1.57,"LMIC","Asia"]
[2018,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Papua New Guinea","Planned",9.2100000000000009,1.85,"LMIC","Asia"]
[2008,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2011,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2012,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2012,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2013,"Paraguay","Planned",6.63,2.31,"UMIC","LAC"]
[2013,"Paraguay","Actual",6.53,1.74,"UMIC","LAC"]
[2014,"Paraguay","Planned",6.63,2.19,"UMIC","LAC"]
[2014,"Paraguay","Actual",6.88,1.95,"UMIC","LAC"]
[2015,"Paraguay","Planned",6.71,2.38,"UMIC","LAC"]
[2015,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2016,"Paraguay","Planned",6.97,2.2599999999999998,"UMIC","LAC"]
[2016,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2017,"Paraguay","Planned",6.98,2.11,"UMIC","LAC"]
[2017,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2018,"Paraguay","Planned",7.05,2.04,"UMIC","LAC"]
[2018,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Paraguay","Planned",7.45,2.23,"UMIC","LAC"]
[2008,"Peru","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Peru","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Peru","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Peru","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Peru","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Peru","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Peru","Planned",8.7899999999999991,1.65,"UMIC","LAC"]
[2011,"Peru","Actual",8.34,1.66,"UMIC","LAC"]
[2012,"Peru","Planned",9.08,1.7,"UMIC","LAC"]
[2012,"Peru","Actual",8.8699999999999992,1.8,"UMIC","LAC"]
[2013,"Peru","Planned",9.17,1.82,"UMIC","LAC"]
[2013,"Peru","Actual",9.66,2.0499999999999998,"UMIC","LAC"]
[2014,"Peru","Planned",9.42,1.95,"UMIC","LAC"]
[2014,"Peru","Actual",10.28,2.3199999999999998,"UMIC","LAC"]
[2015,"Peru","Planned",10.51,2.25,"UMIC","LAC"]
[2015,"Peru","Actual",10.71,2.39,"UMIC","LAC"]
[2016,"Peru","Planned",9.73,2.0499999999999998,"UMIC","LAC"]
[2016,"Peru","Actual",10.81,2.2599999999999998,"UMIC","LAC"]
[2017,"Peru","Planned",9.68,1.97,"UMIC","LAC"]
[2017,"Peru","Actual",10.55,2.29,"UMIC","LAC"]
[2018,"Peru","Planned",10.199999999999999,2.16,"UMIC","LAC"]
[2018,"Peru","Actual",11.21,2.4300000000000002,"UMIC","LAC"]
[2019,"Peru","Planned",10.84,2.35,"UMIC","LAC"]
[2008,"Rwanda","Planned",10.86,2.4,"LIC","Africa"]
[2008,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2009,"Rwanda","Planned","NULL","NULL","LIC","Africa"]
[2009,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2010,"Rwanda","Planned",10.52,2.5099999999999998,"LIC","Africa"]
[2010,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2011,"Rwanda","Planned",10.23,2.44,"LIC","Africa"]
[2011,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2012,"Rwanda","Planned",11.44,2.8,"LIC","Africa"]
[2012,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2013,"Rwanda","Planned",12.24,3.44,"LIC","Africa"]
[2013,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2014,"Rwanda","Planned",9.5299999999999994,2.88,"LIC","Africa"]
[2014,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2015,"Rwanda","Planned",10.81,3.18,"LIC","Africa"]
[2015,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2016,"Rwanda","Planned",10.199999999999999,2.7,"LIC","Africa"]
[2016,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2017,"Rwanda","Planned",9.67,2.48,"LIC","Africa"]
[2017,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2018,"Rwanda","Planned",9.24,2.36,"LIC","Africa"]
[2018,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2019,"Rwanda","Planned",8.99,2.5299999999999998,"LIC","Africa"]
[2008,"Samoa","Planned","NULL",4.4800000000000004,"UMIC","Asia"]
[2008,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2009,"Samoa","Planned",11.79,5.66,"UMIC","Asia"]
[2009,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2010,"Samoa","Planned",10.72,5.47,"UMIC","Asia"]
[2010,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2011,"Samoa","Planned",12.75,5.69,"UMIC","Asia"]
[2011,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2012,"Samoa","Planned",13.61,4.71,"UMIC","Asia"]
[2012,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2013,"Samoa","Planned",19.8,7.41,"UMIC","Asia"]
[2013,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2014,"Samoa","Planned",20.36,7.8,"UMIC","Asia"]
[2014,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2015,"Samoa","Planned",19.47,5.7,"UMIC","Asia"]
[2015,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2016,"Samoa","Planned",11.26,4.3,"UMIC","Asia"]
[2016,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2017,"Samoa","Planned",10.24,4.3,"UMIC","Asia"]
[2017,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2018,"Samoa","Planned",9.98,4.18,"UMIC","Asia"]
[2018,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Samoa","Planned",10.35,4.0999999999999996,"UMIC","Asia"]
[2008,"Sao Tome and Principe","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Sao Tome and Principe","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Sao Tome and Principe","Planned",10.35,6.87,"LMIC","Africa"]
[2010,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Sao Tome and Principe","Planned",10.79,7.94,"LMIC","Africa"]
[2011,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Sao Tome and Principe","Planned",12.39,6.99,"LMIC","Africa"]
[2012,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Sao Tome and Principe","Planned",11.62,5.62,"LMIC","Africa"]
[2013,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Sao Tome and Principe","Planned",10.57,4.83,"LMIC","Africa"]
[2014,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Sao Tome and Principe","Planned",10.59,4.4800000000000004,"LMIC","Africa"]
[2015,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Sao Tome and Principe","Planned",14.85,6.84,"LMIC","Africa"]
[2016,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Sao Tome and Principe","Planned",13.84,5.19,"LMIC","Africa"]
[2017,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Sao Tome and Principe","Planned",11.88,4.29,"LMIC","Africa"]
[2018,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Sao Tome and Principe","Planned",13.9,4.4800000000000004,"LMIC","Africa"]
[2008,"Senegal","Planned",5.79,1.18,"LMIC","Africa"]
[2008,"Senegal","Actual",6.27,1.3,"LMIC","Africa"]
[2009,"Senegal","Planned",5.52,1.2,"LMIC","Africa"]
[2009,"Senegal","Actual",6.71,1.41,"LMIC","Africa"]
[2010,"Senegal","Planned",5.91,1.25,"LMIC","Africa"]
[2010,"Senegal","Actual",6.3,1.36,"LMIC","Africa"]
[2011,"Senegal","Planned",5.62,1.26,"LMIC","Africa"]
[2011,"Senegal","Actual",5.68,1.33,"LMIC","Africa"]
[2012,"Senegal","Planned",5.13,1.21,"LMIC","Africa"]
[2012,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Senegal","Planned",5.46,1.28,"LMIC","Africa"]
[2013,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Senegal","Planned",4.87,1.1000000000000001,"LMIC","Africa"]
[2014,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Senegal","Planned",4.8600000000000003,1.0900000000000001,"LMIC","Africa"]
[2015,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Senegal","Planned",4.97,1.1100000000000001,"LMIC","Africa"]
[2016,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Senegal","Planned",5.41,1.18,"LMIC","Africa"]
[2017,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Senegal","Planned",4.71,1.3,"LMIC","Africa"]
[2018,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Senegal","Planned",5.05,1.42,"LMIC","Africa"]
[2008,"Sierra Leone","Planned",6.96,1.19,"LIC","Africa"]
[2008,"Sierra Leone","Actual",5.03,0.82,"LIC","Africa"]
[2009,"Sierra Leone","Planned",6.07,1.0900000000000001,"LIC","Africa"]
[2009,"Sierra Leone","Actual",6.15,1.07,"LIC","Africa"]
[2010,"Sierra Leone","Planned",7.13,1.23,"LIC","Africa"]
[2010,"Sierra Leone","Actual",8.26,1.67,"LIC","Africa"]
[2011,"Sierra Leone","Planned",9.41,1.65,"LIC","Africa"]
[2011,"Sierra Leone","Actual",7.08,1.52,"LIC","Africa"]
[2012,"Sierra Leone","Planned",6.65,1.1299999999999999,"LIC","Africa"]
[2012,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2013,"Sierra Leone","Planned",9.4600000000000009,1.42,"LIC","Africa"]
[2013,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2014,"Sierra Leone","Planned",9.8800000000000008,1.81,"LIC","Africa"]
[2014,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2015,"Sierra Leone","Planned",9,1.86,"LIC","Africa"]
[2015,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2016,"Sierra Leone","Planned",10.42,1.99,"LIC","Africa"]
[2016,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2017,"Sierra Leone","Planned",7.49,1.49,"LIC","Africa"]
[2017,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2018,"Sierra Leone","Planned",6.9,1.55,"LIC","Africa"]
[2018,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2019,"Sierra Leone","Planned",11.22,2.27,"LIC","Africa"]
[2008,"Solomon Islands","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Solomon Islands","Planned",11.39,6.57,"LMIC","Asia"]
[2009,"Solomon Islands","Actual",10.53,5.82,"LMIC","Asia"]
[2010,"Solomon Islands","Planned",15.7,9.01,"LMIC","Asia"]
[2010,"Solomon Islands","Actual",15.05,8.49,"LMIC","Asia"]
[2011,"Solomon Islands","Planned",13.41,6.64,"LMIC","Asia"]
[2011,"Solomon Islands","Actual",10.1,4.82,"LMIC","Asia"]
[2012,"Solomon Islands","Planned",11.1,6.21,"LMIC","Asia"]
[2012,"Solomon Islands","Actual",12.2,5.89,"LMIC","Asia"]
[2013,"Solomon Islands","Planned",13.91,7.5,"LMIC","Asia"]
[2013,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Solomon Islands","Planned",11.38,5.95,"LMIC","Asia"]
[2014,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Solomon Islands","Planned",13.66,6.81,"LMIC","Asia"]
[2015,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Solomon Islands","Planned",11.11,5.08,"LMIC","Asia"]
[2016,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Solomon Islands","Planned",10.46,4.72,"LMIC","Asia"]
[2017,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Solomon Islands","Planned",9.85,4.47,"LMIC","Asia"]
[2018,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Solomon Islands","Planned",10.55,5.01,"LMIC","Asia"]
[2008,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2008,"South Africa","Actual","NULL","NULL","UMIC","Africa"]
[2009,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2009,"South Africa","Actual","NULL","NULL","UMIC","Africa"]
[2010,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2010,"South Africa","Actual","NULL","NULL","UMIC","Africa"]
[2011,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2011,"South Africa","Actual",12.22,3.29,"UMIC","Africa"]
[2012,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2012,"South Africa","Actual",12.66,3.49,"UMIC","Africa"]
[2013,"South Africa","Planned",12.29,3.38,"UMIC","Africa"]
[2013,"South Africa","Actual",12.86,3.53,"UMIC","Africa"]
[2014,"South Africa","Planned",12.49,3.48,"UMIC","Africa"]
[2014,"South Africa","Actual",12.63,3.51,"UMIC","Africa"]
[2015,"South Africa","Planned",12.54,3.57,"UMIC","Africa"]
[2015,"South Africa","Actual",12.65,3.56,"UMIC","Africa"]
[2016,"South Africa","Planned",12.55,3.56,"UMIC","Africa"]
[2016,"South Africa","Actual",12.55,3.63,"UMIC","Africa"]
[2017,"South Africa","Planned",12.63,3.62,"UMIC","Africa"]
[2017,"South Africa","Actual",12.84,3.66,"UMIC","Africa"]
[2018,"South Africa","Planned",12.86,3.75,"UMIC","Africa"]
[2018,"South Africa","Actual","NULL",0,"UMIC","Africa"]
[2019,"South Africa","Planned",13.04,3.91,"UMIC","Africa"]
[2008,"South Sudan","Planned","NULL","NULL","LIC","Africa"]
[2008,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2009,"South Sudan","Planned","NULL","NULL","LIC","Africa"]
[2009,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2010,"South Sudan","Planned","NULL","NULL","LIC","Africa"]
[2010,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2011,"South Sudan","Planned","NULL","NULL","LIC","Africa"]
[2011,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2012,"South Sudan","Planned",3.67,0.89,"LIC","Africa"]
[2012,"South Sudan","Actual",1.97,0.6,"LIC","Africa"]
[2013,"South Sudan","Planned",2.68,0.41,"LIC","Africa"]
[2013,"South Sudan","Actual",1.87,0.28999999999999998,"LIC","Africa"]
[2014,"South Sudan","Planned",4.3600000000000003,0.95,"LIC","Africa"]
[2014,"South Sudan","Actual","NULL",0.34,"LIC","Africa"]
[2015,"South Sudan","Planned",4.05,0.84,"LIC","Africa"]
[2015,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2016,"South Sudan","Planned",2.97,0.2,"LIC","Africa"]
[2016,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2017,"South Sudan","Planned",1.75,0.17,"LIC","Africa"]
[2017,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2018,"South Sudan","Planned",2.19,0.16,"LIC","Africa"]
[2018,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2019,"South Sudan","Planned",2.2000000000000002,0.22,"LIC","Africa"]
[2008,"Sri Lanka","Planned","NULL","NULL","UMIC","Asia"]
[2008,"Sri Lanka","Actual","NULL","NULL","UMIC","Asia"]
[2009,"Sri Lanka","Planned","NULL","NULL","UMIC","Asia"]
[2009,"Sri Lanka","Actual","NULL","NULL","UMIC","Asia"]
[2010,"Sri Lanka","Planned","NULL","NULL","UMIC","Asia"]
[2010,"Sri Lanka","Actual","NULL","NULL","UMIC","Asia"]
[2011,"Sri Lanka","Planned","NULL","NULL","UMIC","Asia"]
[2011,"Sri Lanka","Actual",5.86,1.1499999999999999,"UMIC","Asia"]
[2012,"Sri Lanka","Planned",6.31,1.1499999999999999,"UMIC","Asia"]
[2012,"Sri Lanka","Actual",5.74,1.05,"UMIC","Asia"]
[2013,"Sri Lanka","Planned",6.63,1.23,"UMIC","Asia"]
[2013,"Sri Lanka","Actual",6.97,1.28,"UMIC","Asia"]
[2014,"Sri Lanka","Planned",8.07,1.57,"UMIC","Asia"]
[2014,"Sri Lanka","Actual",7.45,1.5,"UMIC","Asia"]
[2015,"Sri Lanka","Planned",7.15,1.67,"UMIC","Asia"]
[2015,"Sri Lanka","Actual",7.92,1.7,"UMIC","Asia"]
[2016,"Sri Lanka","Planned",9.16,1.93,"UMIC","Asia"]
[2016,"Sri Lanka","Actual",8.18,1.61,"UMIC","Asia"]
[2017,"Sri Lanka","Planned",7.71,1.63,"UMIC","Asia"]
[2017,"Sri Lanka","Actual",6.9,1.37,"UMIC","Asia"]
[2018,"Sri Lanka","Planned",8.02,1.66,"UMIC","Asia"]
[2018,"Sri Lanka","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Sri Lanka","Planned",7.27,1.48,"UMIC","Asia"]
[2008,"Tajikistan","Planned",5.22,1.45,"LIC","Asia"]
[2008,"Tajikistan","Actual",5.2,1.46,"LIC","Asia"]
[2009,"Tajikistan","Planned",6.47,1.88,"LIC","Asia"]
[2009,"Tajikistan","Actual",5.8,1.66,"LIC","Asia"]
[2010,"Tajikistan","Planned",5.75,1.63,"LIC","Asia"]
[2010,"Tajikistan","Actual",6.31,1.65,"LIC","Asia"]
[2011,"Tajikistan","Planned",6.77,1.97,"LIC","Asia"]
[2011,"Tajikistan","Actual",6.94,1.88,"LIC","Asia"]
[2012,"Tajikistan","Planned",6.92,1.98,"LIC","Asia"]
[2012,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2013,"Tajikistan","Planned",7.42,2.25,"LIC","Asia"]
[2013,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2014,"Tajikistan","Planned",7.77,2.41,"LIC","Asia"]
[2014,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2015,"Tajikistan","Planned",7.75,2.4900000000000002,"LIC","Asia"]
[2015,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2016,"Tajikistan","Planned",6.8,2.3199999999999998,"LIC","Asia"]
[2016,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2017,"Tajikistan","Planned",7.25,2.36,"LIC","Asia"]
[2017,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2018,"Tajikistan","Planned",7.27,2.25,"LIC","Asia"]
[2018,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2019,"Tajikistan","Planned",7.2,2.2400000000000002,"LIC","Asia"]
[2008,"Tanzania","Planned",9.83,1.77,"LIC","Africa"]
[2008,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2009,"Tanzania","Planned",11.04,2.06,"LIC","Africa"]
[2009,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2010,"Tanzania","Planned",8.8800000000000008,1.77,"LIC","Africa"]
[2010,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2011,"Tanzania","Planned",11.2,2.25,"LIC","Africa"]
[2011,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2012,"Tanzania","Planned",9.57,1.94,"LIC","Africa"]
[2012,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2013,"Tanzania","Planned",8.52,1.77,"LIC","Africa"]
[2013,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2014,"Tanzania","Planned",8.2100000000000009,1.81,"LIC","Africa"]
[2014,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2015,"Tanzania","Planned",8,1.68,"LIC","Africa"]
[2015,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2016,"Tanzania","Planned",8.1,1.68,"LIC","Africa"]
[2016,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2017,"Tanzania","Planned",6.74,1.68,"LIC","Africa"]
[2017,"Tanzania","Actual",5.62,1.2,"LIC","Africa"]
[2018,"Tanzania","Planned",6.4,1.57,"LIC","Africa"]
[2018,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2019,"Tanzania","Planned",5.37,1.21,"LIC","Africa"]
[2008,"Timor-Leste","Planned",8.19,0.94,"LMIC","Asia"]
[2008,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Timor-Leste","Planned",6.04,1.7,"LMIC","Asia"]
[2009,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Timor-Leste","Planned",7.13,1.49,"LMIC","Asia"]
[2010,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Timor-Leste","Planned",3.77,1,"LMIC","Asia"]
[2011,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Timor-Leste","Planned",3.82,1.07,"LMIC","Asia"]
[2012,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Timor-Leste","Planned",5.43,1.78,"LMIC","Asia"]
[2013,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Timor-Leste","Planned",6.48,2.7,"LMIC","Asia"]
[2014,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Timor-Leste","Planned",5.71,3.21,"LMIC","Asia"]
[2015,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Timor-Leste","Planned",4.0999999999999996,2.79,"LMIC","Asia"]
[2016,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Timor-Leste","Planned",4.78,2.96,"LMIC","Asia"]
[2017,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Timor-Leste","Planned",5.27,2.81,"LMIC","Asia"]
[2018,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Timor-Leste","Planned",4.55,2.5499999999999998,"LMIC","Asia"]
[2008,"Togo","Planned","NULL","NULL","LIC","Africa"]
[2008,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2009,"Togo","Planned",15.32,3,"LIC","Africa"]
[2009,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2010,"Togo","Planned",9.65,2.48,"LIC","Africa"]
[2010,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2011,"Togo","Planned",6.61,1.76,"LIC","Africa"]
[2011,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2012,"Togo","Planned",6.98,2.12,"LIC","Africa"]
[2012,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2013,"Togo","Planned",7.44,2.4500000000000002,"LIC","Africa"]
[2013,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2014,"Togo","Planned",7.01,2.2799999999999998,"LIC","Africa"]
[2014,"Togo","Actual",7.5,2.11,"LIC","Africa"]
[2015,"Togo","Planned",7.06,2.0699999999999998,"LIC","Africa"]
[2015,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2016,"Togo","Planned",6.99,2.14,"LIC","Africa"]
[2016,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2017,"Togo","Planned",6.62,2,"LIC","Africa"]
[2017,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2018,"Togo","Planned",6.15,1.9,"LIC","Africa"]
[2018,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2019,"Togo","Planned",6.87,1.92,"LIC","Africa"]
[2008,"Tonga","Planned",10.84,3.61,"UMIC","Asia"]
[2008,"Tonga","Actual",12.51,3.04,"UMIC","Asia"]
[2009,"Tonga","Planned",11.3,3.67,"UMIC","Asia"]
[2009,"Tonga","Actual",9.8800000000000008,3.28,"UMIC","Asia"]
[2010,"Tonga","Planned",19.14,5,"UMIC","Asia"]
[2010,"Tonga","Actual",11.06,3.32,"UMIC","Asia"]
[2011,"Tonga","Planned",12.63,3.17,"UMIC","Asia"]
[2011,"Tonga","Actual",12.79,3.23,"UMIC","Asia"]
[2012,"Tonga","Planned",13.8,3.43,"UMIC","Asia"]
[2012,"Tonga","Actual",12.41,2.99,"UMIC","Asia"]
[2013,"Tonga","Planned",13.12,3.58,"UMIC","Asia"]
[2013,"Tonga","Actual",14.3,3.64,"UMIC","Asia"]
[2014,"Tonga","Planned",13.26,3.77,"UMIC","Asia"]
[2014,"Tonga","Actual",14.53,3.73,"UMIC","Asia"]
[2015,"Tonga","Planned",11.76,4.0199999999999996,"UMIC","Asia"]
[2015,"Tonga","Actual",13.04,3.87,"UMIC","Asia"]
[2016,"Tonga","Planned",10.5,3.72,"UMIC","Asia"]
[2016,"Tonga","Actual",14.45,4.25,"UMIC","Asia"]
[2017,"Tonga","Planned",12.07,4,"UMIC","Asia"]
[2017,"Tonga","Actual",14.45,4.34,"UMIC","Asia"]
[2018,"Tonga","Planned",11.74,4.28,"UMIC","Asia"]
[2018,"Tonga","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Tonga","Planned",8.6199999999999992,3.66,"UMIC","Asia"]
[2008,"Uganda","Planned",8.8699999999999992,1.75,"LIC","Africa"]
[2008,"Uganda","Actual",9.15,1.64,"LIC","Africa"]
[2009,"Uganda","Planned",10.25,2.09,"LIC","Africa"]
[2009,"Uganda","Actual",8.4,1.46,"LIC","Africa"]
[2010,"Uganda","Planned",10.46,2.12,"LIC","Africa"]
[2010,"Uganda","Actual",8.09,1.58,"LIC","Africa"]
[2011,"Uganda","Planned",9.0399999999999991,1.73,"LIC","Africa"]
[2011,"Uganda","Actual",6.71,1.54,"LIC","Africa"]
[2012,"Uganda","Planned",8.2100000000000009,1.36,"LIC","Africa"]
[2012,"Uganda","Actual",8.14,1.27,"LIC","Africa"]
[2013,"Uganda","Planned",7.98,1.31,"LIC","Africa"]
[2013,"Uganda","Actual",10.199999999999999,1.61,"LIC","Africa"]
[2014,"Uganda","Planned",8.75,1.57,"LIC","Africa"]
[2014,"Uganda","Actual",6.88,1.1000000000000001,"LIC","Africa"]
[2015,"Uganda","Planned",8,1.61,"LIC","Africa"]
[2015,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2016,"Uganda","Planned",6.62,1.41,"LIC","Africa"]
[2016,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2017,"Uganda","Planned",8.7799999999999994,1.9,"LIC","Africa"]
[2017,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2018,"Uganda","Planned",8.18,1.73,"LIC","Africa"]
[2018,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2019,"Uganda","Planned",9.68,1.99,"LIC","Africa"]
[2008,"Vanuatu","Planned",16.73,3.99,"LMIC","Asia"]
[2008,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Vanuatu","Planned",15.15,3.61,"LMIC","Asia"]
[2009,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Vanuatu","Planned",11.59,3.33,"LMIC","Asia"]
[2010,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Vanuatu","Planned",10.43,2.83,"LMIC","Asia"]
[2011,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Vanuatu","Planned",10.06,2.6,"LMIC","Asia"]
[2012,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Vanuatu","Planned",10.62,2.61,"LMIC","Asia"]
[2013,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Vanuatu","Planned",11.78,2.5299999999999998,"LMIC","Asia"]
[2014,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Vanuatu","Planned",7.91,2.35,"LMIC","Asia"]
[2015,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Vanuatu","Planned",4.8499999999999996,2.72,"LMIC","Asia"]
[2016,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Vanuatu","Planned",5.46,2.59,"LMIC","Asia"]
[2017,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Vanuatu","Planned",8.39,3.28,"LMIC","Asia"]
[2018,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Vanuatu","Planned",9.75,3.63,"LMIC","Asia"]
[2008,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2011,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2012,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2013,"Vietnam","Actual","NULL",1.64,"LMIC","Asia"]
[2014,"Vietnam","Planned",6.36,1.53,"LMIC","Asia"]
[2014,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Vietnam","Planned",6.19,1.6,"LMIC","Asia"]
[2015,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2016,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2017,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2018,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2008,"Yemen, Rep.","Actual",3.15,1.31,"LIC","Middle East"]
[2009,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2009,"Yemen, Rep.","Actual",4.0999999999999996,1.47,"LIC","Middle East"]
[2010,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2010,"Yemen, Rep.","Actual",3.69,1.1299999999999999,"LIC","Middle East"]
[2011,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2011,"Yemen, Rep.","Actual",3.76,1.1100000000000001,"LIC","Middle East"]
[2012,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2012,"Yemen, Rep.","Actual",3.89,1.42,"LIC","Middle East"]
[2013,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2013,"Yemen, Rep.","Actual",5.12,1.6,"LIC","Middle East"]
[2014,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2014,"Yemen, Rep.","Actual","NULL","NULL","LIC","Middle East"]
[2015,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2015,"Yemen, Rep.","Actual","NULL","NULL","LIC","Middle East"]
[2016,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2016,"Yemen, Rep.","Actual","NULL","NULL","LIC","Middle East"]
[2017,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2017,"Yemen, Rep.","Actual","NULL","NULL","LIC","Middle East"]
[2018,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2008,"Zambia","Planned",10.88,2.25,"LMIC","Africa"]
[2008,"Zambia","Actual",7.61,1.51,"LMIC","Africa"]
[2009,"Zambia","Planned",11.84,2.33,"LMIC","Africa"]
[2009,"Zambia","Actual",8.6,1.54,"LMIC","Africa"]
[2010,"Zambia","Planned",8.35,1.41,"LMIC","Africa"]
[2010,"Zambia","Actual",8.2799999999999994,1.5,"LMIC","Africa"]
[2011,"Zambia","Planned",8.74,1.54,"LMIC","Africa"]
[2011,"Zambia","Actual",8.3800000000000008,1.65,"LMIC","Africa"]
[2012,"Zambia","Planned",8.7799999999999994,1.96,"LMIC","Africa"]
[2012,"Zambia","Actual",5.2,1.04,"LMIC","Africa"]
[2013,"Zambia","Planned",11.19,2.34,"LMIC","Africa"]
[2013,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Zambia","Planned",9.91,2.5299999999999998,"LMIC","Africa"]
[2014,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Zambia","Planned",9.57,2.4300000000000002,"LMIC","Africa"]
[2015,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Zambia","Planned",8.34,2.0499999999999998,"LMIC","Africa"]
[2016,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Zambia","Planned",8.93,2.34,"LMIC","Africa"]
[2017,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Zambia","Planned",9.4600000000000009,2.4300000000000002,"LMIC","Africa"]
[2018,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Zambia","Planned",9.3000000000000007,2.57,"LMIC","Africa"]
[2008,"Zimbabwe","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Zimbabwe","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Zimbabwe","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Zimbabwe","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Zimbabwe","Planned",8.64,2.02,"LMIC","Africa"]
[2012,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Zimbabwe","Planned",9.69,2,"LMIC","Africa"]
[2013,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Zimbabwe","Planned",8.0399999999999991,1.73,"LMIC","Africa"]
[2014,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Zimbabwe","Planned",7.2,1.51,"LMIC","Africa"]
[2015,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Zimbabwe","Planned",8.27,1.59,"LMIC","Africa"]
[2016,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Zimbabwe","Planned",5.9,1.03,"LMIC","Africa"]
[2017,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Zimbabwe","Planned",10.15,1.1399999999999999,"LMIC","Africa"]
[2018,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Zimbabwe","Planned",13.5,0.71,"LMIC","Africa"]

{"sheet":"PS_Source_GSW_SP","index":25,"n_rows":1868,"n_cols":24,"rows_kept":1868,"cut":false,"hidden":false,"merged":[]}
["GSW - Social Protection (SP)"]
[]
["Year","Country","Type","total_total_expenditure","gdp_total_expenditure","Income_Group","Region","SP","SP","Latest date\nDo not touch this formula","Country\n","Expenditure\nDo not touch this formula","% of total EXP\nDo not touch the formula","% of GDP\nDo not touch the formula","Latest date\nDo not touch the formula","SP","SP"]
[2008,"Afghanistan","Planned",1.18,0.3,"LIC","Asia",null,1,{"$f":"LARGE(INDEX(($B$4:$B$1868=K4)*($D$4:$D$1868<>\"Null\")*($E$4:$E$1868<>\"Null\")*($A$4:$A$1868),,),1)","v":2019},"Afghanistan",{"$f":"INDEX(C$3:C$1868,MATCH(1,INDEX(($A$3:$A$1868=$J4)*($B$3:$B$1868=$K4)*($D$3:$D$1868<>\"Null\")*($E$3:$E$1868<>\"Null\"),,),0))","v":"Planned"},{"$f":"INDEX(D$3:D$1868,MATCH(1,INDEX(($A$3:$A$1868=$J4)*($B$3:$B$1868=$K4)*($D$3:$D$1868<>\"Null\")*($E$3:$E$1868<>\"Null\"),,),0))","v":3.51},{"$f":"INDEX(E$3:E$1868,MATCH(1,INDEX(($A$3:$A$1868=$J4)*($B$3:$B$1868=$K4)*($D$3:$D$1868<>\"Null\")*($E$3:$E$1868<>\"Null\"),,),0))","v":1},{"$f":"J4","v":2019}]
[2008,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,2,{"$f":"LARGE(INDEX(($B$4:$B$1868=K5)*($D$4:$D$1868<>\"Null\")*($E$4:$E$1868<>\"Null\")*($A$4:$A$1868),,),1)","v":2019},"Albania","Planned",33.119999999999997,9.18,{"$f":"J5","v":2019}]
[2009,"Afghanistan","Planned",1.1100000000000001,0.25,"LIC","Asia",null,3,2019,"Angola","Planned",7.61,1.67,2019]
[2009,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,4,2019,"Armenia","Planned",26.99,6.8,2019]
[2010,"Afghanistan","Planned",1.4,0.3,"LIC","Asia",null,5,2019,"Bangladesh","Planned",6.14,1.1100000000000001,2019]
[2010,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,6,2019,"Belize","Planned",6.59,1.99,2019]
[2011,"Afghanistan","Planned",1.1200000000000001,0.28999999999999998,"LIC","Asia",null,7,2019,"Benin","Planned",6.76,1.02,2019]
[2011,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,8,0,"Bhutan",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},0]
[2012,"Afghanistan","Planned",0.93,0.22,"LIC","Asia",null,9,2015,"Bolivia","Actual",10.46,4.24,2015]
[2012,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,10,2018,"Burkina Faso","Planned",4.54,1.41,2018]
[2013,"Afghanistan","Planned",0.72,0.23,"LIC","Asia",null,11,2019,"Burundi","Planned",4.1852099999999997,0.95,2019,"GSW GDP(0.25) + ILO B.17 2010 (0.7) = 0.95 / WEO22.699 *100= 4.18521"]
[2013,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,12,2019,"Cabo Verde","Planned",11.34,4.12,2019]
[2014,"Afghanistan","Planned",0.87,0.31,"LIC","Asia",null,13,2017,"Cambodia","Planned",3.79,0.85,2017]
[2014,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,14,2019,"Cameroon","Planned",5.8184199999999997,1.06,2019,"GSW GDP (0.16) + ILO B.17 2009 (0.5=0.4)= 1.06 /WEO 18.218 * 100= 5.81842",null,null,null,null,null,null,null,"awaiting Jo approval"]
[2015,"Afghanistan","Planned",4.83,1.72,"LIC","Asia",null,15,2017,"Central African Republic","Planned",7.64680421,1.06,2017,"GSW GDP (0.26) + ILO B.17 2010 (0.6+0.1+0.1)= 1.06 /WEO 13.862 * 100= 7.64680421"]
[2015,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,16,0,"Chad",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},{"$f":"J19","v":0}]
[2016,"Afghanistan","Planned",4.78,1.61,"LIC","Asia",null,17,2019,"Colombia","Planned",3.53,0.87,{"$f":"J20","v":2019}]
[2016,"Afghanistan","Actual",7.09,1.91,"LIC","Asia",null,18,0,"Comoros",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},0]
[2017,"Afghanistan","Planned",6.1,1.9,"LIC","Asia",null,19,2019,"Congo, Dem. Rep.","Planned",1.77,0.2,2019]
[2017,"Afghanistan","Actual",5.41,1.69,"LIC","Asia",null,20,2019,"Congo, Rep.","Planned",5.3,1.1599999999999999,2019]
[2018,"Afghanistan","Planned",5.77,1.74,"LIC","Asia",null,21,2019,"Cote d'Ivoire","Planned",8.8699999999999992,2.13,2017,"As per MM instructions over the phone on 25.08.20,use CRII2 data -8.87(2017) and GDP 2.13 Includes GSW and ILO data"]
[2018,"Afghanistan","Actual","NULL","NULL","LIC","Asia",null,22,0,"Djibouti",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},0]
[2019,"Afghanistan","Planned",3.51,1,"LIC","Asia",null,23,2019,"Dominican Republic","Planned",7.01,1.42,2019]
[2008,"Albania","Planned","NULL","NULL","UMIC","Europe",null,24,2017,"Ecuador","Planned",3.7,1.31,2017]
[2008,"Albania","Actual","NULL","NULL","UMIC","Europe",null,25,2019,"El Salvador","Planned",1.03,0.26,2019]
[2009,"Albania","Planned","NULL","NULL","UMIC","Europe",null,26,2019,"Eswatini","Planned",9.4491886019999995,3.22,2019,"GDP= GSW 1.12 + ILO pension B17 2.1=3.22/WEO34.077*100=9.449188602"]
[2009,"Albania","Actual","NULL","NULL","UMIC","Europe",null,27,2016,"Ethiopia","Planned",8.1999999999999993,1.5,2016]
[2010,"Albania","Planned","NULL","NULL","UMIC","Europe",null,28,2019,"Fiji","Planned",3.71,1.35,2019]
[2010,"Albania","Actual","NULL","NULL","UMIC","Europe",null,29,2014,"Gambia, The","Actual",0.09,0.02,2014]
[2011,"Albania","Planned","NULL","NULL","UMIC","Europe",null,30,2019,"Ghana","Planned",5.0974574833036908,1.0651708686889123,2019]
[2011,"Albania","Actual","NULL","NULL","UMIC","Europe",null,31,2018,"Guatemala","Planned",15.29,2,2018]
[2012,"Albania","Planned","NULL","NULL","UMIC","Europe",null,32,2018,"Guinea","Planned",0.66,0.12,2018]
[2012,"Albania","Actual","NULL","NULL","UMIC","Europe",null,33,2015,"Guinea-Bissau",{"$f":"INDEX(C$3:C$1868,MATCH(1,INDEX(($A$3:$A$1868=$J36)*($B$3:$B$1868=$K36)*($D$3:$D$1868<>\"Null\")*($E$3:$E$1868<>\"Null\"),,),0))","v":"Planned"},5.99,1.4,2015,"2015 SP Adjustment by MM on 14 Aug 2018 - GDP 1.4 / WEO 23.387*100= 5.99"]
[2013,"Albania","Planned",29.05,8.81,"UMIC","Europe",null,34,0,"Guyana",{"$error":"#N/A"},{"$f":"INDEX(D$3:D$1868,MATCH(1,INDEX(($A$3:$A$1868=$J37)*($B$3:$B$1868=$K37)*($D$3:$D$1868<>\"Null\")*($E$3:$E$1868<>\"Null\"),,),0))","v":{"$error":"#N/A"}},{"$f":"INDEX(E$3:E$1868,MATCH(1,INDEX(($A$3:$A$1868=$J37)*($B$3:$B$1868=$K37)*($D$3:$D$1868<>\"Null\")*($E$3:$E$1868<>\"Null\"),,),0))","v":{"$error":"#N/A"}},0]
[2013,"Albania","Actual","NULL","NULL","UMIC","Europe",null,35,2018,"Haiti","Planned",4.17,0.98,2018]
[2014,"Albania","Planned",27.89,9.1199999999999992,"UMIC","Europe",null,36,2019,"Honduras","Planned",17.61,7.5,2019]
[2014,"Albania","Actual","NULL","NULL","UMIC","Europe",null,37,2019,"India","Planned",11.23,3.42,2019]
[2015,"Albania","Planned",27.84,9.18,"UMIC","Europe",null,38,2020,"Jamaica","Planned",3.45,1.22,2020]
[2015,"Albania","Actual","NULL","NULL","UMIC","Europe",null,39,2019,"Jordan","Planned",18.96,5.6,2019]
[2016,"Albania","Planned",29.13,9.35,"UMIC","Europe",null,40,2019,"Kenya","Planned",4.46,1.27,2019]
[2016,"Albania","Actual","NULL","NULL","UMIC","Europe",null,41,0,"Kiribati",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},0]
[2017,"Albania","Planned",29.89,9.11,"UMIC","Europe",null,42,2019,"Kosovo","Planned",19.489999999999998,6.47,2019]
[2017,"Albania","Actual","NULL","NULL","UMIC","Europe",null,43,2018,"Kyrgyz Republic","Planned",17.89,5.46,2018]
[2018,"Albania","Planned",31.44,9.14,"UMIC","Europe",null,44,0,"Lesotho",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},0]
[2018,"Albania","Actual","NULL","NULL","UMIC","Europe",null,45,2019,"Liberia","Planned",1.66,0.24,2019]
[2019,"Albania","Planned",33.119999999999997,9.18,"UMIC","Europe",null,46,2019,"Madagascar","Planned",7.79,1.44,2017,"As per MM instructions over the phone on 25.08.20,use CRII2 data -Gpv Exp 7.79(2017) and GDP 1.44 (2017) Includes GSW and ILO data"]
[2008,"Angola","Planned",0.18,0.06,"LMIC","Africa",null,47,2019,"Malawi","Planned",6.46,1.82,2019]
[2008,"Angola","Actual","NULL","NULL","LMIC","Africa",null,48,2019,"Mali","Planned",8.37888521,2.1,2019,"GSW GDP (0.91) + ILO B.17 2010 (1.6+0.3+0.1+0.1)= 2.1 /WEO 25.063 * 100= 8.37888521"]
[2009,"Angola","Planned",0.79,0.4,"LMIC","Africa",null,49,2017,"Mauritania","Planned",9.94,23.81,{"$f":"J52","v":2017}]
[2009,"Angola","Actual","NULL","NULL","LMIC","Africa",null,50,2019,"Moldova","Planned",32.67,10.89,2019]
[2010,"Angola","Planned",1.52,0.49,"LMIC","Africa",null,51,2018,"Mongolia","Planned",5.27,1.59,2018]
[2010,"Angola","Actual","NULL","NULL","LMIC","Africa",null,52,2017,"Mozambique","Planned",5.71,1.93,2017]
[2011,"Angola","Planned",5.28,1.56,"LMIC","Africa",null,53,2017,"Nepal","Planned",10.28,4.03,2017]
[2011,"Angola","Actual",3.7,1.33,"LMIC","Africa",null,54,2017,"Nicaragua","Planned",2.4500000000000002,0.47,2017]
[2012,"Angola","Planned",5.33,1.49,"LMIC","Africa",null,55,2019,"Niger","Planned",0.94,0.32,2019]
[2012,"Angola","Actual",4.18,1.48,"LMIC","Africa",null,56,0,"Nigeria",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},0]
[2013,"Angola","Planned",4.63,1.76,"LMIC","Africa",null,57,2019,"Occupied Palestinian Territory","Planned",8.503317116320213,2.8375242136334284,2019,"Amended by DW on email 03.06.20 as per request of OPT Oxfam Office email sent to Jo"]
[2013,"Angola","Actual","NULL","NULL","LMIC","Africa",null,58,0,"Pakistan",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},0]
[2014,"Angola","Planned",4.2699999999999996,1.6,"LMIC","Africa",null,59,2019,"Papua New Guinea","Planned",2.2000000000000002,0.44,2019]
[2014,"Angola","Actual","NULL","NULL","LMIC","Africa",null,60,2019,"Paraguay","Planned",13.99,4.1900000000000004,2019]
[2015,"Angola","Planned",6.15,2.2999999999999998,"LMIC","Africa",null,61,2019,"Peru","Planned",3.38,0.73,2019]
[2015,"Angola","Actual","NULL","NULL","LMIC","Africa",null,62,2019,"Rwanda","Planned",7.1797173000000001,1.92,2019," GSW (0.82) + ILO B.17 (0.8+0.1+0.2)= 1.92 / WEO 26.742 *100= 7.1797173"]
[2016,"Angola","Planned",9.24,2.4,"LMIC","Africa",null,63,2019,"Samoa","Planned",2.11,0.83,2019]
[2016,"Angola","Actual","NULL","NULL","LMIC","Africa",null,64,2019,"Sao Tome and Principe","Planned",2.17,0.7,2019]
[2017,"Angola","Planned",8.1,1.92,"LMIC","Africa",null,65,2019,"Senegal",{"$f":"INDEX(C$3:C$1868,MATCH(1,INDEX(($A$3:$A$1868=$J68)*($B$3:$B$1868=$K68)*($D$3:$D$1868<>\"Null\")*($E$3:$E$1868<>\"Null\"),,),0))","v":"Planned"},{"$f":"INDEX(D$3:D$1868,MATCH(1,INDEX(($A$3:$A$1868=$J68)*($B$3:$B$1868=$K68)*($D$3:$D$1868<>\"Null\")*($E$3:$E$1868<>\"Null\"),,),0))","v":2.8},{"$f":"INDEX(E$3:E$1868,MATCH(1,INDEX(($A$3:$A$1868=$J68)*($B$3:$B$1868=$K68)*($D$3:$D$1868<>\"Null\")*($E$3:$E$1868<>\"Null\"),,),0))","v":0.79},2019]
[2017,"Angola","Actual","NULL","NULL","LMIC","Africa",null,66,{"$f":"LARGE(INDEX(($B$4:$B$1868=K69)*($D$4:$D$1868<>\"Null\")*($E$4:$E$1868<>\"Null\")*($A$4:$A$1868),,),1)","v":2019},"Sierra Leone","Planned",2.72,0.55000000000000004,2019]
[2018,"Angola","Planned",7.13,1.36,"LMIC","Africa",null,67,2019,"Solomon Islands","Planned",4.0842458400000003,1.85,{"$f":"J70","v":2019},"GSW (0.25) + ILO (1.3+0.3)= 1.85 / WEO45.296 *100= 4.08424584"]
[2018,"Angola","Actual","NULL","NULL","LMIC","Africa",null,68,2019,"South Africa","Planned",12.35,3.71,2019]
[2019,"Angola","Planned",7.61,1.67,"LMIC","Africa",null,69,2019,"South Sudan","Planned",0.22,0.02,2019]
[2008,"Armenia","Planned","NULL","NULL","UMIC","Asia",null,70,2019,"Sri Lanka","Planned",8.69,1.77,2019]
[2008,"Armenia","Actual","NULL","NULL","UMIC","Asia",null,71,2019,"Tajikistan","Planned",15.22,4.7300000000000004,2019]
[2009,"Armenia","Planned","NULL","NULL","UMIC","Asia",null,72,0,"Tanzania",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},0]
[2009,"Armenia","Actual","NULL","NULL","UMIC","Asia",null,73,2019,"Timor-Leste","Planned",9.7100000000000009,5.44,2019]
[2010,"Armenia","Planned","NULL","NULL","UMIC","Asia",null,74,2018,"Togo","Planned",7.1970000000000001,1.98,2018,"GSW (0.08) + ILO (1.9)= 1.98 / WEO27.51 *100=7.197"]
[2010,"Armenia","Actual",6.88,1.8,"UMIC","Asia",null,75,2019,"Tonga","Planned",1.32,0.56000000000000005,2019]
[2011,"Armenia","Planned",7.47,1.94,"UMIC","Asia",null,76,2019,"Uganda","Planned",8.37888521,2.1,2019,"GSW GDP (0.10) + ILO B.17 2010 (1.6+0.3+0.1+0.1)= 2.1 /WEO 25.063 * 100= 8.37888521"]
[2011,"Armenia","Actual",5.56,1.39,"UMIC","Asia",null,77,0,"Vanuatu",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},0]
[2012,"Armenia","Planned",10.38,2.4900000000000002,"UMIC","Asia",null,78,0,"Vietnam",{"$error":"#N/A"},{"$error":"#N/A"},{"$error":"#N/A"},0]
[2012,"Armenia","Actual","NULL","NULL","UMIC","Asia",null,79,2013,"Yemen, Rep.","Actual",18.8,5.87,2013]
[2013,"Armenia","Planned",9.3699999999999992,2.31,"UMIC","Asia",null,80,2019,"Zambia","Planned",2.52,0.7,2019]
[2013,"Armenia","Actual","NULL","NULL","UMIC","Asia",null,81,2019,"Zimbabwe","Planned",13.61,0.72,2019]
[2014,"Armenia","Planned",8.9600000000000009,2.2200000000000002,"UMIC","Asia"]
[2014,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2015,"Armenia","Planned","NULL","NULL","UMIC","Asia"]
[2015,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2016,"Armenia","Planned",29.42,7.99,"UMIC","Asia"]
[2016,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2017,"Armenia","Planned",30.06,7.35,"UMIC","Asia"]
[2017,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2018,"Armenia","Planned",27.89,6.81,"UMIC","Asia"]
[2018,"Armenia","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Armenia","Planned",26.99,6.8,"UMIC","Asia"]
[2008,"Bangladesh","Planned",4.26,0.62,"LMIC","Asia"]
[2008,"Bangladesh","Actual",3.81,0.55000000000000004,"LMIC","Asia"]
[2009,"Bangladesh","Planned",8.26,1.17,"LMIC","Asia"]
[2009,"Bangladesh","Actual",8.83,1.1200000000000001,"LMIC","Asia"]
[2010,"Bangladesh","Planned",7.81,1.1100000000000001,"LMIC","Asia"]
[2010,"Bangladesh","Actual",6.85,0.87,"LMIC","Asia"]
[2011,"Bangladesh","Planned",7.32,1.06,"LMIC","Asia"]
[2011,"Bangladesh","Actual",6.02,0.84,"LMIC","Asia"]
[2012,"Bangladesh","Planned",7.12,1.1000000000000001,"LMIC","Asia"]
[2012,"Bangladesh","Actual",5.9,0.85,"LMIC","Asia"]
[2013,"Bangladesh","Planned",6.05,0.97,"LMIC","Asia"]
[2013,"Bangladesh","Actual",5.77,0.84,"LMIC","Asia"]
[2014,"Bangladesh","Planned",5.85,0.97,"LMIC","Asia"]
[2014,"Bangladesh","Actual",5.97,0.84,"LMIC","Asia"]
[2015,"Bangladesh","Planned",6.01,0.99,"LMIC","Asia"]
[2015,"Bangladesh","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Bangladesh","Planned",5.93,1.01,"LMIC","Asia"]
[2016,"Bangladesh","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Bangladesh","Planned",6.05,1.04,"LMIC","Asia"]
[2017,"Bangladesh","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Bangladesh","Planned",6.24,1.1100000000000001,"LMIC","Asia"]
[2018,"Bangladesh","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Bangladesh","Planned",6.14,1.1100000000000001,"LMIC","Asia"]
[2019,"Bangladesh","Actual","NULL","NULL","LMIC","Asia"]
[2008,"Belize","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Belize","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Belize","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Belize","Planned","NULL","NULL","UMIC","LAC"]
[2011,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2012,"Belize","Planned",2.39,0.68,"UMIC","LAC"]
[2012,"Belize","Actual",1.33,0.37,"UMIC","LAC"]
[2013,"Belize","Planned",2.31,0.67,"UMIC","LAC"]
[2013,"Belize","Actual",2.58,0.68,"UMIC","LAC"]
[2014,"Belize","Planned",2.1,0.57999999999999996,"UMIC","LAC"]
[2014,"Belize","Actual",2.25,0.65,"UMIC","LAC"]
[2015,"Belize","Planned",6.76,1.94,"UMIC","LAC"]
[2015,"Belize","Actual",5.94,1.9,"UMIC","LAC"]
[2016,"Belize","Planned",5.92,1.75,"UMIC","LAC"]
[2016,"Belize","Actual",5.71,2.02,"UMIC","LAC"]
[2017,"Belize","Planned",5.98,1.85,"UMIC","LAC"]
[2017,"Belize","Actual",6.21,2.0099999999999998,"UMIC","LAC"]
[2018,"Belize","Planned",6.11,1.87,"UMIC","LAC"]
[2018,"Belize","Actual",6.87,2.0699999999999998,"UMIC","LAC"]
[2019,"Belize","Planned",6.59,1.99,"UMIC","LAC"]
[2019,"Belize","Actual","NULL","NULL","UMIC","LAC"]
[2008,"Benin","Planned","NULL","NULL","LIC","Africa"]
[2008,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2009,"Benin","Planned",0.56999999999999995,0.1,"LIC","Africa"]
[2009,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2010,"Benin","Planned",0.63,0.14000000000000001,"LIC","Africa"]
[2010,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2011,"Benin","Planned",0.42,0.08,"LIC","Africa"]
[2011,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2012,"Benin","Planned",0.48,7.0000000000000007E-2,"LIC","Africa"]
[2012,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2013,"Benin","Planned",0.51,7.0000000000000007E-2,"LIC","Africa"]
[2013,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2014,"Benin","Planned",0.54,0.08,"LIC","Africa"]
[2014,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2015,"Benin","Planned",0.55000000000000004,0.09,"LIC","Africa"]
[2015,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2016,"Benin","Planned",5.73,0.97,"LIC","Africa"]
[2016,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2017,"Benin","Planned",5.15,1.1000000000000001,"LIC","Africa"]
[2017,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2018,"Benin","Planned",6.32,1.04,"LIC","Africa"]
[2018,"Benin","Actual","NULL","NULL","LIC","Africa"]
[2019,"Benin","Planned",6.76,1.02,"LIC","Africa"]
[2008,"Bhutan","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Bhutan","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Bhutan","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Bhutan","Planned","NULL","NULL","LMIC","Asia"]
[2011,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Bhutan","Planned","NULL","NULL","LMIC","Asia"]
[2012,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Bhutan","Planned","NULL","NULL","LMIC","Asia"]
[2013,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Bhutan","Planned","NULL","NULL","LMIC","Asia"]
[2014,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Bhutan","Planned","NULL","NULL","LMIC","Asia"]
[2015,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Bhutan","Planned","NULL","NULL","LMIC","Asia"]
[2016,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Bhutan","Planned","NULL","NULL","LMIC","Asia"]
[2017,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Bhutan","Planned","NULL","NULL","LMIC","Asia"]
[2018,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Bhutan","Planned","NULL","NULL","LMIC","Asia"]
[2019,"Bhutan","Actual","NULL","NULL","LMIC","Asia"]
[2008,"Bolivia","Planned","NULL",4.55,"LMIC","LAC"]
[2008,"Bolivia","Actual",13.86,4.55,"LMIC","LAC"]
[2009,"Bolivia","Planned","NULL",4.97,"LMIC","LAC"]
[2009,"Bolivia","Actual",15.31,4.97,"LMIC","LAC"]
[2010,"Bolivia","Planned","NULL",4.66,"LMIC","LAC"]
[2010,"Bolivia","Actual",15.11,4.66,"LMIC","LAC"]
[2011,"Bolivia","Planned","NULL",4.2300000000000004,"LMIC","LAC"]
[2011,"Bolivia","Actual",12.46,4.2300000000000004,"LMIC","LAC"]
[2012,"Bolivia","Planned","NULL",4.62,"LMIC","LAC"]
[2012,"Bolivia","Actual",13.93,4.63,"LMIC","LAC"]
[2013,"Bolivia","Planned","NULL",4.68,"LMIC","LAC"]
[2013,"Bolivia","Actual",13.2,4.68,"LMIC","LAC"]
[2014,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2014,"Bolivia","Actual",11.43,4.5999999999999996,"LMIC","LAC"]
[2015,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2015,"Bolivia","Actual",10.46,4.24,"LMIC","LAC"]
[2016,"Bolivia","Planned","NULL",4.67,"LMIC","LAC"]
[2016,"Bolivia","Actual","NULL","NULL","LMIC","LAC"]
[2017,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2017,"Bolivia","Actual","NULL","NULL","LMIC","LAC"]
[2018,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2018,"Bolivia","Actual","NULL","NULL","LMIC","LAC"]
[2019,"Bolivia","Planned","NULL","NULL","LMIC","LAC"]
[2008,"Burkina Faso","Planned",0.74,0.19,"LIC","Africa"]
[2008,"Burkina Faso","Actual",0.67,0.14000000000000001,"LIC","Africa"]
[2009,"Burkina Faso","Planned",0.7,0.18,"LIC","Africa"]
[2009,"Burkina Faso","Actual",0.6,0.15,"LIC","Africa"]
[2010,"Burkina Faso","Planned",0.75,0.19,"LIC","Africa"]
[2010,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2011,"Burkina Faso","Planned",0.77,0.18,"LIC","Africa"]
[2011,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2012,"Burkina Faso","Planned",1.27,0.32,"LIC","Africa"]
[2012,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2013,"Burkina Faso","Planned",1.0900000000000001,0.3,"LIC","Africa"]
[2013,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2014,"Burkina Faso","Planned",1.23,0.35,"LIC","Africa"]
[2014,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2015,"Burkina Faso","Planned",1.29,0.4,"LIC","Africa"]
[2015,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2016,"Burkina Faso","Planned",1.39,0.39,"LIC","Africa"]
[2016,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2017,"Burkina Faso","Planned",4.2699999999999996,1.46,"LIC","Africa"]
[2017,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2018,"Burkina Faso","Planned",4.54,1.41,"LIC","Africa"]
[2018,"Burkina Faso","Actual","NULL","NULL","LIC","Africa"]
[2019,"Burkina Faso","Planned","NULL","NULL","LIC","Africa"]
[2008,"Burundi","Planned","NULL","NULL","LIC","Africa"]
[2008,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2009,"Burundi","Planned",0.77,0.28999999999999998,"LIC","Africa"]
[2009,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2010,"Burundi","Planned",1.08,0.37,"LIC","Africa"]
[2010,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2011,"Burundi","Planned",0.81,0.28999999999999998,"LIC","Africa"]
[2011,"Burundi","Actual",0.75,0.28000000000000003,"LIC","Africa"]
[2012,"Burundi","Planned",0.76,0.27,"LIC","Africa"]
[2012,"Burundi","Actual",0.67,0.25,"LIC","Africa"]
[2013,"Burundi","Planned",1.1100000000000001,0.39,"LIC","Africa"]
[2013,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2014,"Burundi","Planned",1.0900000000000001,0.33,"LIC","Africa"]
[2014,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2015,"Burundi","Planned",1.21,0.4,"LIC","Africa"]
[2015,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2016,"Burundi","Planned",0.33,0.08,"LIC","Africa"]
[2016,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2017,"Burundi","Planned",0.36,0.08,"LIC","Africa"]
[2017,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2018,"Burundi","Planned",1,0.22,"LIC","Africa"]
[2018,"Burundi","Actual","NULL","NULL","LIC","Africa"]
[2019,"Burundi","Planned",1.21,0.25,"LIC","Africa"]
[2008,"Cambodia","Planned",3.16,0.43,"LMIC","Asia"]
[2008,"Cambodia","Actual",2.48,0.4,"LMIC","Asia"]
[2009,"Cambodia","Planned",2.8,0.48,"LMIC","Asia"]
[2009,"Cambodia","Actual",2.4700000000000002,0.5,"LMIC","Asia"]
[2010,"Cambodia","Planned",3.93,0.7,"LMIC","Asia"]
[2010,"Cambodia","Actual",3.23,0.64,"LMIC","Asia"]
[2011,"Cambodia","Planned",3.19,0.57999999999999996,"LMIC","Asia"]
[2011,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Cambodia","Planned",5.2,0.96,"LMIC","Asia"]
[2012,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Cambodia","Planned",5.32,1.01,"LMIC","Asia"]
[2013,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Cambodia","Planned","NULL","NULL","LMIC","Asia"]
[2014,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Cambodia","Planned",4.37,0.91,"LMIC","Asia"]
[2015,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Cambodia","Planned",3.94,0.88,"LMIC","Asia"]
[2016,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Cambodia","Planned",3.79,0.85,"LMIC","Asia"]
[2017,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Cambodia","Planned","NULL","NULL","LMIC","Asia"]
[2018,"Cambodia","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Cambodia","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Cameroon","Planned",0.88,0.14000000000000001,"LMIC","Africa"]
[2008,"Cameroon","Actual",0.64,0.11,"LMIC","Africa"]
[2009,"Cameroon","Planned",1.1399999999999999,0.19,"LMIC","Africa"]
[2009,"Cameroon","Actual",0.74,0.12,"LMIC","Africa"]
[2010,"Cameroon","Planned",0.9,0.16,"LMIC","Africa"]
[2010,"Cameroon","Actual",0.71,0.12,"LMIC","Africa"]
[2011,"Cameroon","Planned",0.57999999999999996,0.09,"LMIC","Africa"]
[2011,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Cameroon","Planned",0.88,0.15,"LMIC","Africa"]
[2012,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Cameroon","Planned",0.78,0.14000000000000001,"LMIC","Africa"]
[2013,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Cameroon","Planned",0.89,0.16,"LMIC","Africa"]
[2014,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Cameroon","Planned",0.77,0.16,"LMIC","Africa"]
[2015,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Cameroon","Planned",0.67,0.15,"LMIC","Africa"]
[2016,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Cameroon","Planned",0.76,0.14000000000000001,"LMIC","Africa"]
[2017,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Cameroon","Planned",0.91,0.15,"LMIC","Africa"]
[2018,"Cameroon","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Cameroon","Planned",0.88,0.16,"LMIC","Africa"]
[2008,"Cabo Verde","Planned",1.07,0.35,"LMIC","Africa"]
[2008,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Cabo Verde","Planned",1.63,0.62,"LMIC","Africa"]
[2009,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Cabo Verde","Planned",1.53,0.68,"LMIC","Africa"]
[2010,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Cabo Verde","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Cabo Verde","Planned",1.79,0.68,"LMIC","Africa"]
[2012,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Cabo Verde","Planned",2.7,1.06,"LMIC","Africa"]
[2013,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Cabo Verde","Planned",3,1.1200000000000001,"LMIC","Africa"]
[2014,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Cabo Verde","Planned",10.33,3.7,"LMIC","Africa"]
[2015,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Cabo Verde","Planned",12.69,4.55,"LMIC","Africa"]
[2016,"Cabo Verde","Actual",14.12,4.17,"LMIC","Africa"]
[2017,"Cabo Verde","Planned",12.69,4.13,"LMIC","Africa"]
[2017,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Cabo Verde","Planned",11.9,3.95,"LMIC","Africa"]
[2018,"Cabo Verde","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Cabo Verde","Planned",11.34,4.12,"LMIC","Africa"]
[2008,"Central African Republic","Planned",2.41,0.34,"LIC","Africa"]
[2008,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2009,"Central African Republic","Planned",0.92,0.16,"LIC","Africa"]
[2009,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2010,"Central African Republic","Planned",1.36,0.27,"LIC","Africa"]
[2010,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2011,"Central African Republic","Planned",2.1,0.43,"LIC","Africa"]
[2011,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2012,"Central African Republic","Planned",2.86,0.53,"LIC","Africa"]
[2012,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2013,"Central African Republic","Planned",1.48,0.48,"LIC","Africa"]
[2013,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2014,"Central African Republic","Planned",0.71,0.17,"LIC","Africa"]
[2014,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2015,"Central African Republic","Planned",1.31,0.3,"LIC","Africa"]
[2015,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2016,"Central African Republic","Planned",0.89,0.21,"LIC","Africa"]
[2016,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2017,"Central African Republic","Planned",1.3,0.26,"LIC","Africa"]
[2017,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2018,"Central African Republic","Planned","NULL","NULL","LIC","Africa"]
[2018,"Central African Republic","Actual","NULL","NULL","LIC","Africa"]
[2019,"Central African Republic","Planned","NULL","NULL","LIC","Africa"]
[2008,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2008,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2009,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2009,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2010,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2010,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2011,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2011,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2012,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2012,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2013,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2013,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2014,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2014,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2015,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2015,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2016,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2016,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2017,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2017,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2018,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2018,"Chad","Actual","NULL","NULL","LIC","Africa"]
[2019,"Chad","Planned","NULL","NULL","LIC","Africa"]
[2008,"Colombia","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Colombia","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Colombia","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Colombia","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Colombia","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Colombia","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Colombia","Planned",2.02,0.48,"UMIC","LAC"]
[2011,"Colombia","Actual",2.0299999999999998,0.48,"UMIC","LAC"]
[2012,"Colombia","Planned",3.58,0.89,"UMIC","LAC"]
[2012,"Colombia","Actual",3.63,0.88,"UMIC","LAC"]
[2013,"Colombia","Planned",3.47,0.9,"UMIC","LAC"]
[2013,"Colombia","Actual",3.65,0.91,"UMIC","LAC"]
[2014,"Colombia","Planned",2.99,0.79,"UMIC","LAC"]
[2014,"Colombia","Actual",3.68,0.81,"UMIC","LAC"]
[2015,"Colombia","Planned",3.42,0.92,"UMIC","LAC"]
[2015,"Colombia","Actual",3.49,0.88,"UMIC","LAC"]
[2016,"Colombia","Planned",3.39,0.85,"UMIC","LAC"]
[2016,"Colombia","Actual",3.56,0.83,"UMIC","LAC"]
[2017,"Colombia","Planned",3.28,0.8,"UMIC","LAC"]
[2017,"Colombia","Actual",3.46,0.85,"UMIC","LAC"]
[2018,"Colombia","Planned",3.45,0.83,"UMIC","LAC"]
[2018,"Colombia","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Colombia","Planned",3.53,0.87,"UMIC","LAC"]
[2008,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2012,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2013,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2016,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2017,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2018,"Comoros","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Comoros","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Congo, Rep.","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Congo, Rep.","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Congo, Rep.","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Congo, Rep.","Planned",1.44,0.32,"LMIC","Africa"]
[2011,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Congo, Rep.","Planned",0.85,0.34,"LMIC","Africa"]
[2012,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Congo, Rep.","Planned",1.31,0.53,"LMIC","Africa"]
[2013,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Congo, Rep.","Planned",1.66,0.75,"LMIC","Africa"]
[2014,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Congo, Rep.","Planned",0.79,0.48,"LMIC","Africa"]
[2015,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Congo, Rep.","Planned",1.26,0.71,"LMIC","Africa"]
[2016,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Congo, Rep.","Planned",2.7,1.43,"LMIC","Africa"]
[2017,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Congo, Rep.","Planned",6.9,1.39,"LMIC","Africa"]
[2018,"Congo, Rep.","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Congo, Rep.","Planned",5.3,1.1599999999999999,"LMIC","Africa"]
[2008,"Congo, Dem. Rep.","Planned",1.23,0.27,"LIC","Africa"]
[2008,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2009,"Congo, Dem. Rep.","Planned",1.55,0.26,"LIC","Africa"]
[2009,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2010,"Congo, Dem. Rep.","Planned",1.49,0.38,"LIC","Africa"]
[2010,"Congo, Dem. Rep.","Actual",0.8,0.15,"LIC","Africa"]
[2011,"Congo, Dem. Rep.","Planned",2.25,0.5,"LIC","Africa"]
[2011,"Congo, Dem. Rep.","Actual",1.18,0.21,"LIC","Africa"]
[2012,"Congo, Dem. Rep.","Planned",2.09,0.43,"LIC","Africa"]
[2012,"Congo, Dem. Rep.","Actual",0.73,0.11,"LIC","Africa"]
[2013,"Congo, Dem. Rep.","Planned",1.34,0.27,"LIC","Africa"]
[2013,"Congo, Dem. Rep.","Actual",1.45,0.18,"LIC","Africa"]
[2014,"Congo, Dem. Rep.","Planned",1.64,0.28999999999999998,"LIC","Africa"]
[2014,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2015,"Congo, Dem. Rep.","Planned",1.96,0.32,"LIC","Africa"]
[2015,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2016,"Congo, Dem. Rep.","Planned",1.39,0.25,"LIC","Africa"]
[2016,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2017,"Congo, Dem. Rep.","Planned",1.32,0.27,"LIC","Africa"]
[2017,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2018,"Congo, Dem. Rep.","Planned",1.91,0.25,"LIC","Africa"]
[2018,"Congo, Dem. Rep.","Actual","NULL","NULL","LIC","Africa"]
[2019,"Congo, Dem. Rep.","Planned",1.77,0.2,"LIC","Africa"]
[2008,"Cote d'Ivoire","Planned",2.72,0.53,"LMIC","Africa"]
[2008,"Cote d'Ivoire","Actual",1.56,0.32,"LMIC","Africa"]
[2009,"Cote d'Ivoire","Planned",2.19,0.44,"LMIC","Africa"]
[2009,"Cote d'Ivoire","Actual",1.79,0.36,"LMIC","Africa"]
[2010,"Cote d'Ivoire","Planned",2.3199999999999998,0.46,"LMIC","Africa"]
[2010,"Cote d'Ivoire","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Cote d'Ivoire","Planned",2.0699999999999998,0.37,"LMIC","Africa"]
[2011,"Cote d'Ivoire","Actual",2.12,0.39,"LMIC","Africa"]
[2012,"Cote d'Ivoire","Planned",1.69,0.37,"LMIC","Africa"]
[2012,"Cote d'Ivoire","Actual",1.56,0.35,"LMIC","Africa"]
[2013,"Cote d'Ivoire","Planned",0.89,0.22,"LMIC","Africa"]
[2013,"Cote d'Ivoire","Actual",1.03,0.23,"LMIC","Africa"]
[2014,"Cote d'Ivoire","Planned",0.86,0.21,"LMIC","Africa"]
[2014,"Cote d'Ivoire","Actual",0.87,0.18,"LMIC","Africa"]
[2015,"Cote d'Ivoire","Planned",1.83,0.42,"LMIC","Africa"]
[2015,"Cote d'Ivoire","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Cote d'Ivoire","Planned",1.62,0.4,"LMIC","Africa"]
[2016,"Cote d'Ivoire","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Cote d'Ivoire","Planned",7.43,1.92,"LMIC","Africa"]
[2017,"Cote d'Ivoire","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Cote d'Ivoire","Planned",1.04,0.28999999999999998,"LMIC","Africa"]
[2018,"Cote d'Ivoire","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Cote d'Ivoire","Planned",0.8,0.23,"LMIC","Africa"]
[2008,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2012,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2013,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2016,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2017,"Djibouti","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Djibouti","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2011,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2012,"Dominican Republic","Planned","NULL","NULL","UMIC","LAC"]
[2012,"Dominican Republic","Actual","NULL",1,"UMIC","LAC"]
[2013,"Dominican Republic","Planned",4.9800000000000004,1.01,"UMIC","LAC"]
[2013,"Dominican Republic","Actual","NULL",0.99,"UMIC","LAC"]
[2014,"Dominican Republic","Planned",4.74,0.99,"UMIC","LAC"]
[2014,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2015,"Dominican Republic","Planned",8.82,1.74,"UMIC","LAC"]
[2015,"Dominican Republic","Actual","NULL",1.74,"UMIC","LAC"]
[2016,"Dominican Republic","Planned",8.77,1.67,"UMIC","LAC"]
[2016,"Dominican Republic","Actual","NULL",1.67,"UMIC","LAC"]
[2017,"Dominican Republic","Planned",8.7899999999999991,1.64,"UMIC","LAC"]
[2017,"Dominican Republic","Actual","NULL",1.69,"UMIC","LAC"]
[2018,"Dominican Republic","Planned",9.94,1.62,"UMIC","LAC"]
[2018,"Dominican Republic","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Dominican Republic","Planned",7.01,1.42,"UMIC","LAC"]
[2008,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2011,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2012,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2012,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2013,"Ecuador","Planned",2.02,0.65,"UMIC","LAC"]
[2013,"Ecuador","Actual",2.0099999999999998,0.65,"UMIC","LAC"]
[2014,"Ecuador","Planned",3.39,1.04,"UMIC","LAC"]
[2014,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2015,"Ecuador","Planned",4.3099999999999996,1.58,"UMIC","LAC"]
[2015,"Ecuador","Actual",5.2,1.58,"UMIC","LAC"]
[2016,"Ecuador","Planned",3.81,1.1399999999999999,"UMIC","LAC"]
[2016,"Ecuador","Actual","NULL",1.2,"UMIC","LAC"]
[2017,"Ecuador","Planned",3.7,1.31,"UMIC","LAC"]
[2017,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2018,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2018,"Ecuador","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Ecuador","Planned","NULL","NULL","UMIC","LAC"]
[2008,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2008,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2009,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2009,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2010,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2010,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2011,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2011,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2012,"El Salvador","Planned","NULL","NULL","LMIC","LAC"]
[2012,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2013,"El Salvador","Planned",1.93,0.51,"LMIC","LAC"]
[2013,"El Salvador","Actual",2,0.52,"LMIC","LAC"]
[2014,"El Salvador","Planned",1.67,0.42,"LMIC","LAC"]
[2014,"El Salvador","Actual",1.54,0.38,"LMIC","LAC"]
[2015,"El Salvador","Planned",1.42,0.37,"LMIC","LAC"]
[2015,"El Salvador","Actual",1.46,0.36,"LMIC","LAC"]
[2016,"El Salvador","Planned",1.05,0.28000000000000003,"LMIC","LAC"]
[2016,"El Salvador","Actual",1.17,0.28999999999999998,"LMIC","LAC"]
[2017,"El Salvador","Planned",1,0.27,"LMIC","LAC"]
[2017,"El Salvador","Actual",0.97,0.24,"LMIC","LAC"]
[2018,"El Salvador","Planned",1.1299999999999999,0.28000000000000003,"LMIC","LAC"]
[2018,"El Salvador","Actual","NULL","NULL","LMIC","LAC"]
[2019,"El Salvador","Planned",1.03,0.26,"LMIC","LAC"]
[2008,"Eswatini","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Eswatini","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Eswatini","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Eswatini","Planned",1.5,0.43,"LMIC","Africa"]
[2011,"Eswatini","Actual",1.87,0.56000000000000005,"LMIC","Africa"]
[2012,"Eswatini","Planned",1.86,0.49,"LMIC","Africa"]
[2012,"Eswatini","Actual",2.1,0.47,"LMIC","Africa"]
[2013,"Eswatini","Planned",1.62,0.43,"LMIC","Africa"]
[2013,"Eswatini","Actual",1.77,0.41,"LMIC","Africa"]
[2014,"Eswatini","Planned",1.58,0.43,"LMIC","Africa"]
[2014,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Eswatini","Planned",1.41,0.41,"LMIC","Africa"]
[2015,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Eswatini","Planned","NULL","NULL","LMIC","Africa"]
[2016,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Eswatini","Planned","NULL","NULL","LMIC","Africa"]
[2017,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Eswatini","Planned","NULL","NULL","LMIC","Africa"]
[2018,"Eswatini","Actual",3.26,1,"LMIC","Africa"]
[2019,"Eswatini","Planned",3.8,1.1200000000000001,"LMIC","Africa"]
[2019,"Eswatini","Actual","NULL","NULL","LMIC","Africa"]
[2008,"Ethiopia","Planned",0.31,7.0000000000000007E-2,"LIC","Africa"]
[2008,"Ethiopia","Actual",0.31,0.06,"LIC","Africa"]
[2009,"Ethiopia","Planned",0.31,0.06,"LIC","Africa"]
[2009,"Ethiopia","Actual",0.24,0.04,"LIC","Africa"]
[2010,"Ethiopia","Planned",0.18,0.04,"LIC","Africa"]
[2010,"Ethiopia","Actual",0.18,0.03,"LIC","Africa"]
[2011,"Ethiopia","Planned",0.15,0.03,"LIC","Africa"]
[2011,"Ethiopia","Actual",0.18,0.03,"LIC","Africa"]
[2012,"Ethiopia","Planned",0.21,0.04,"LIC","Africa"]
[2012,"Ethiopia","Actual","NULL","NULL","LIC","Africa"]
[2013,"Ethiopia","Planned",0.31,0.06,"LIC","Africa"]
[2013,"Ethiopia","Actual","NULL","NULL","LIC","Africa"]
[2014,"Ethiopia","Planned",0.27,0.05,"LIC","Africa"]
[2014,"Ethiopia","Actual",0.39,7.0000000000000007E-2,"LIC","Africa"]
[2015,"Ethiopia","Planned",0.34,0.06,"LIC","Africa"]
[2015,"Ethiopia","Actual",0.42,0.08,"LIC","Africa"]
[2016,"Ethiopia","Planned",8.1999999999999993,1.5,"LIC","Africa"]
[2016,"Ethiopia","Actual","NULL","NULL","LIC","Africa"]
[2017,"Ethiopia","Planned","NULL","NULL","LIC","Africa"]
[2017,"Ethiopia","Actual","NULL","NULL","LIC","Africa"]
[2018,"Ethiopia","Planned","NULL","NULL","LIC","Africa"]
[2018,"Ethiopia","Actual","NULL","NULL","LIC","Africa"]
[2019,"Ethiopia","Planned","NULL","NULL","LIC","Africa"]
[2008,"Fiji","Planned","NULL","NULL","UMIC","Asia"]
[2008,"Fiji","Actual","NULL","NULL","UMIC","Asia"]
[2009,"Fiji","Planned","NULL","NULL","UMIC","Asia"]
[2009,"Fiji","Actual","NULL","NULL","UMIC","Asia"]
[2010,"Fiji","Planned","NULL","NULL","UMIC","Asia"]
[2010,"Fiji","Actual",1.79,0.46,"UMIC","Asia"]
[2011,"Fiji","Planned",1.81,0.48,"UMIC","Asia"]
[2011,"Fiji","Actual",1.79,0.46,"UMIC","Asia"]
[2012,"Fiji","Planned",1.79,0.48,"UMIC","Asia"]
[2012,"Fiji","Actual",1.31,0.34,"UMIC","Asia"]
[2013,"Fiji","Planned",1.59,0.44,"UMIC","Asia"]
[2013,"Fiji","Actual",1.34,0.34,"UMIC","Asia"]
[2014,"Fiji","Planned",1.28,0.4,"UMIC","Asia"]
[2014,"Fiji","Actual",1.26,0.37,"UMIC","Asia"]
[2015,"Fiji","Planned",2.5,0.85,"UMIC","Asia"]
[2015,"Fiji","Actual",2.95,0.81,"UMIC","Asia"]
[2016,"Fiji","Planned",2.66,0.88,"UMIC","Asia"]
[2016,"Fiji","Actual",2.78,0.87,"UMIC","Asia"]
[2017,"Fiji","Planned",2.6,0.86,"UMIC","Asia"]
[2017,"Fiji","Actual",3.1,0.85,"UMIC","Asia"]
[2018,"Fiji","Planned",3.6,1.34,"UMIC","Asia"]
[2018,"Fiji","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Fiji","Planned",3.71,1.35,"UMIC","Asia"]
[2008,"Gambia, The","Planned",1.17,0.18,"LIC","Africa"]
[2008,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2009,"Gambia, The","Planned",0.15,0.02,"LIC","Africa"]
[2009,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2010,"Gambia, The","Planned",0.28000000000000003,0.04,"LIC","Africa"]
[2010,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2011,"Gambia, The","Planned",0.28999999999999998,0.04,"LIC","Africa"]
[2011,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2012,"Gambia, The","Planned",0.25,0.04,"LIC","Africa"]
[2012,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2013,"Gambia, The","Planned","NULL","NULL","LIC","Africa"]
[2013,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2014,"Gambia, The","Planned","NULL",0.02,"LIC","Africa"]
[2014,"Gambia, The","Actual",0.09,0.02,"LIC","Africa"]
[2015,"Gambia, The","Planned","NULL","NULL","LIC","Africa"]
[2015,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2016,"Gambia, The","Planned","NULL","NULL","LIC","Africa"]
[2016,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2017,"Gambia, The","Planned","NULL","NULL","LIC","Africa"]
[2017,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2018,"Gambia, The","Planned","NULL","NULL","LIC","Africa"]
[2018,"Gambia, The","Actual","NULL","NULL","LIC","Africa"]
[2019,"Gambia, The","Planned","NULL","NULL","LIC","Africa"]
[2008,"Ghana","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Ghana","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Ghana","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Ghana","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Ghana","Planned","NULL","NULL","LMIC","Africa"]
[2012,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Ghana","Planned","NULL","NULL","LMIC","Africa"]
[2013,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Ghana","Planned",0.25,0.05,"LMIC","Africa"]
[2014,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Ghana","Planned",0.28000000000000003,0.06,"LMIC","Africa"]
[2015,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Ghana","Planned",0.11,0.02,"LMIC","Africa"]
[2016,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Ghana","Planned",0.28999999999999998,0.06,"LMIC","Africa"]
[2017,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Ghana","Planned",4.45,0.9,"LMIC","Africa"]
[2018,"Ghana","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Ghana","Planned",5.0974574833036908,1.0651708686889123,"LMIC","Africa"]
[2008,"Guatemala","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Guatemala","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Guatemala","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Guatemala","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Guatemala","Planned",11.19,1.53,"UMIC","LAC"]
[2010,"Guatemala","Actual",13.12,1.91,"UMIC","LAC"]
[2011,"Guatemala","Planned",13.02,1.78,"UMIC","LAC"]
[2011,"Guatemala","Actual",10.93,1.58,"UMIC","LAC"]
[2012,"Guatemala","Planned",11.54,1.66,"UMIC","LAC"]
[2012,"Guatemala","Actual",11.17,1.57,"UMIC","LAC"]
[2013,"Guatemala","Planned",12.38,1.86,"UMIC","LAC"]
[2013,"Guatemala","Actual",11.07,1.52,"UMIC","LAC"]
[2014,"Guatemala","Planned",11.82,1.74,"UMIC","LAC"]
[2014,"Guatemala","Actual",10.87,1.46,"UMIC","LAC"]
[2015,"Guatemala","Planned",11.14,1.56,"UMIC","LAC"]
[2015,"Guatemala","Actual",9.26,1.1399999999999999,"UMIC","LAC"]
[2016,"Guatemala","Planned",10.81,1.37,"UMIC","LAC"]
[2016,"Guatemala","Actual",10.45,1.26,"UMIC","LAC"]
[2017,"Guatemala","Planned",15.29,2.12,"UMIC","LAC"]
[2017,"Guatemala","Actual","NULL","NULL","UMIC","LAC"]
[2018,"Guatemala","Planned",15.29,2,"UMIC","LAC"]
[2018,"Guatemala","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Guatemala","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2008,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2009,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2009,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2010,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2010,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2011,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2011,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2012,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2012,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2013,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2013,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2014,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2014,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2015,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2015,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2016,"Guinea","Planned",7.92,1.3,"LIC","Africa"]
[2016,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2017,"Guinea","Planned",0.9,0.14000000000000001,"LIC","Africa"]
[2017,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2018,"Guinea","Planned",0.66,0.12,"LIC","Africa"]
[2018,"Guinea","Actual","NULL","NULL","LIC","Africa"]
[2019,"Guinea","Planned","NULL","NULL","LIC","Africa"]
[2008,"Guinea-Bissau","Planned",2.15,0.42,"LIC","Africa"]
[2008,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2009,"Guinea-Bissau","Planned",1.73,0.52,"LIC","Africa"]
[2009,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2010,"Guinea-Bissau","Planned",1.91,0.45,"LIC","Africa"]
[2010,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2011,"Guinea-Bissau","Planned",3.24,0.57999999999999996,"LIC","Africa"]
[2011,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2012,"Guinea-Bissau","Planned",2.0699999999999998,0.47,"LIC","Africa"]
[2012,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2013,"Guinea-Bissau","Planned",0.25,0.05,"LIC","Africa"]
[2013,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2014,"Guinea-Bissau","Planned",1,0.19,"LIC","Africa"]
[2014,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2015,"Guinea-Bissau","Planned",1.45,0.27,"LIC","Africa"]
[2015,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2016,"Guinea-Bissau","Planned","NULL","NULL","LIC","Africa"]
[2016,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2017,"Guinea-Bissau","Planned","NULL","NULL","LIC","Africa"]
[2017,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2018,"Guinea-Bissau","Planned","NULL","NULL","LIC","Africa"]
[2018,"Guinea-Bissau","Actual","NULL","NULL","LIC","Africa"]
[2019,"Guinea-Bissau","Planned","NULL","NULL","LIC","Africa"]
[2008,"Guyana","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Guyana","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Guyana","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Guyana","Planned","NULL","NULL","UMIC","LAC"]
[2011,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2012,"Guyana","Planned","NULL","NULL","UMIC","LAC"]
[2012,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2013,"Guyana","Planned","NULL","NULL","UMIC","LAC"]
[2013,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2014,"Guyana","Planned","NULL","NULL","UMIC","LAC"]
[2014,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2015,"Guyana","Planned","NULL","NULL","UMIC","LAC"]
[2015,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2016,"Guyana","Planned","NULL","NULL","UMIC","LAC"]
[2016,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2017,"Guyana","Planned","NULL","NULL","UMIC","LAC"]
[2017,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2018,"Guyana","Planned","NULL","NULL","UMIC","LAC"]
[2018,"Guyana","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Guyana","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Haiti","Planned",2.64,0.81,"LIC","LAC"]
[2008,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2009,"Haiti","Planned","NULL","NULL","LIC","LAC"]
[2009,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2010,"Haiti","Planned","NULL","NULL","LIC","LAC"]
[2010,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2011,"Haiti","Planned","NULL","NULL","LIC","LAC"]
[2011,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2012,"Haiti","Planned",3.19,1.1499999999999999,"LIC","LAC"]
[2012,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2013,"Haiti","Planned",3.01,1.07,"LIC","LAC"]
[2013,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2014,"Haiti","Planned",3.83,1.21,"LIC","LAC"]
[2014,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2015,"Haiti","Planned",2.96,0.83,"LIC","LAC"]
[2015,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2016,"Haiti","Planned",1.53,0.38,"LIC","LAC"]
[2016,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2017,"Haiti","Planned",1.33,0.28000000000000003,"LIC","LAC"]
[2017,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2018,"Haiti","Planned",4.17,0.98,"LIC","LAC"]
[2018,"Haiti","Actual","NULL","NULL","LIC","LAC"]
[2019,"Haiti","Planned","NULL","NULL","LIC","LAC"]
[2008,"Honduras","Planned",1.89,0.41,"LMIC","LAC"]
[2008,"Honduras","Actual",1.88,0.42,"LMIC","LAC"]
[2009,"Honduras","Planned",1.92,0.45,"LMIC","LAC"]
[2009,"Honduras","Actual",1.81,0.42,"LMIC","LAC"]
[2010,"Honduras","Planned",2.52,0.56999999999999995,"LMIC","LAC"]
[2010,"Honduras","Actual",3.09,0.67,"LMIC","LAC"]
[2011,"Honduras","Planned",2.2400000000000002,0.45,"LMIC","LAC"]
[2011,"Honduras","Actual",3.05,0.66,"LMIC","LAC"]
[2012,"Honduras","Planned",3.76,0.74,"LMIC","LAC"]
[2012,"Honduras","Actual",3.92,0.89,"LMIC","LAC"]
[2013,"Honduras","Planned",1.96,0.86,"LMIC","LAC"]
[2013,"Honduras","Actual",2.61,1.1299999999999999,"LMIC","LAC"]
[2014,"Honduras","Planned",1.48,0.66,"LMIC","LAC"]
[2014,"Honduras","Actual",1.58,0.69,"LMIC","LAC"]
[2015,"Honduras","Planned",1.54,0.62,"LMIC","LAC"]
[2015,"Honduras","Actual",1.08,0.42,"LMIC","LAC"]
[2016,"Honduras","Planned",1.41,0.57999999999999996,"LMIC","LAC"]
[2016,"Honduras","Actual",1.01,0.46,"LMIC","LAC"]
[2017,"Honduras","Planned",21.28,8.9700000000000006,"LMIC","LAC"]
[2017,"Honduras","Actual",19.82,8.08,"LMIC","LAC"]
[2018,"Honduras","Planned",18.95,8.0299999999999994,"LMIC","LAC"]
[2018,"Honduras","Actual",18.22,7.55,"LMIC","LAC"]
[2019,"Honduras","Planned",18.18,7.78,"LMIC","LAC"]
[2008,"India","Planned",4.2699999999999996,0.98,"LMIC","Asia"]
[2008,"India","Actual",5.17,1.1399999999999999,"LMIC","Asia"]
[2009,"India","Planned",4.7300000000000004,1.07,"LMIC","Asia"]
[2009,"India","Actual",5.73,1.34,"LMIC","Asia"]
[2010,"India","Planned",5.6,1.29,"LMIC","Asia"]
[2010,"India","Actual",5.79,1.35,"LMIC","Asia"]
[2011,"India","Planned",5.7,1.3,"LMIC","Asia"]
[2011,"India","Actual",5.81,1.4,"LMIC","Asia"]
[2012,"India","Planned",5.43,1.29,"LMIC","Asia"]
[2012,"India","Actual",5.58,1.32,"LMIC","Asia"]
[2013,"India","Planned",5.3,1.34,"LMIC","Asia"]
[2013,"India","Actual",5.51,1.3,"LMIC","Asia"]
[2014,"India","Planned",5.41,1.39,"LMIC","Asia"]
[2014,"India","Actual",5.85,1.38,"LMIC","Asia"]
[2015,"India","Planned",13.14,3.38,"LMIC","Asia"]
[2015,"India","Actual",10.87,3,"LMIC","Asia"]
[2016,"India","Planned",13.77,3.41,"LMIC","Asia"]
[2016,"India","Actual",12.02,3.13,"LMIC","Asia"]
[2017,"India","Planned",11.33,3.27,"LMIC","Asia"]
[2017,"India","Actual",11.41,3.19,"LMIC","Asia"]
[2018,"India","Planned",11.42,3.23,"LMIC","Asia"]
[2018,"India","Actual",11.15,3.16,"LMIC","Asia"]
[2019,"India","Planned",11.23,3.42,"LMIC","Asia"]
[2019,"India","Actual","NULL","NULL","LMIC","Asia"]
[2008,"Jamaica","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Jamaica","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Jamaica","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Jamaica","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Jamaica","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Jamaica","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Jamaica","Planned","NULL","NULL","UMIC","LAC"]
[2011,"Jamaica","Actual",1.25,0.5,"UMIC","LAC"]
[2012,"Jamaica","Planned",1.57,0.5,"UMIC","LAC"]
[2012,"Jamaica","Actual",1.53,0.48,"UMIC","LAC"]
[2013,"Jamaica","Planned",1.57,0.46,"UMIC","LAC"]
[2013,"Jamaica","Actual",1.53,0.44,"UMIC","LAC"]
[2014,"Jamaica","Planned",1.81,0.5,"UMIC","LAC"]
[2014,"Jamaica","Actual",483.63,121.96,"UMIC","LAC"]
[2015,"Jamaica","Planned",7.37,2,"UMIC","LAC"]
[2015,"Jamaica","Actual",8.4,2.17,"UMIC","LAC"]
[2016,"Jamaica","Planned",8,2.17,"UMIC","LAC"]
[2016,"Jamaica","Actual",8.51,2.21,"UMIC","LAC"]
[2017,"Jamaica","Planned",8.1999999999999993,2.13,"UMIC","LAC"]
[2017,"Jamaica","Actual",8.57,2.2599999999999998,"UMIC","LAC"]
[2018,"Jamaica","Planned",9.17,2.4300000000000002,"UMIC","LAC"]
[2018,"Jamaica","Actual",8.4700000000000006,2.37,"UMIC","LAC"]
[2019,"Jamaica","Planned",8.74,2.52,"UMIC","LAC"]
[2019,"Jamaica","Actual","NULL","NULL","UMIC","LAC"]
[2020,"Jamaica","Planned",3.45,1.22,"UMIC","LAC"]
[2008,"Jordan","Planned","NULL","NULL","UMIC","Middle East"]
[2008,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2009,"Jordan","Planned","NULL","NULL","UMIC","Middle East"]
[2009,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2010,"Jordan","Planned","NULL","NULL","UMIC","Middle East"]
[2010,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2011,"Jordan","Planned",21.28,6.59,"UMIC","Middle East"]
[2011,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2012,"Jordan","Planned",23.22,7.13,"UMIC","Middle East"]
[2012,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2013,"Jordan","Planned",23.13,7.13,"UMIC","Middle East"]
[2013,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2014,"Jordan","Planned",20.85,6.54,"UMIC","Middle East"]
[2014,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2015,"Jordan","Planned",19.23,5.63,"UMIC","Middle East"]
[2015,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2016,"Jordan","Planned",20.49,6.25,"UMIC","Middle East"]
[2016,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2017,"Jordan","Planned",22.47,6.85,"UMIC","Middle East"]
[2017,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2018,"Jordan","Planned",18.61,5.6,"UMIC","Middle East"]
[2018,"Jordan","Actual","NULL","NULL","UMIC","Middle East"]
[2019,"Jordan","Planned",18.96,5.6,"UMIC","Middle East"]
[2008,"Kenya","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Kenya","Planned",3.3,1.02,"LMIC","Africa"]
[2009,"Kenya","Actual",5.23,1.43,"LMIC","Africa"]
[2010,"Kenya","Planned",3.97,1.25,"LMIC","Africa"]
[2010,"Kenya","Actual",3.78,1.1200000000000001,"LMIC","Africa"]
[2011,"Kenya","Planned",3.34,1.1000000000000001,"LMIC","Africa"]
[2011,"Kenya","Actual",3.52,1.02,"LMIC","Africa"]
[2012,"Kenya","Planned",3.01,1.07,"LMIC","Africa"]
[2012,"Kenya","Actual",3.48,1.02,"LMIC","Africa"]
[2013,"Kenya","Planned",2.37,0.77,"LMIC","Africa"]
[2013,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Kenya","Planned",3.38,1.1499999999999999,"LMIC","Africa"]
[2014,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Kenya","Planned",2.0299999999999998,0.63,"LMIC","Africa"]
[2015,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Kenya","Planned",1.82,0.56999999999999995,"LMIC","Africa"]
[2016,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Kenya","Planned",5.9,1.78,"LMIC","Africa"]
[2017,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Kenya","Planned",4.47,1.23,"LMIC","Africa"]
[2018,"Kenya","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Kenya","Planned",4.46,1.27,"LMIC","Africa"]
[2008,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2011,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2012,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2013,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2014,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2015,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2016,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2017,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2018,"Kiribati","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Kiribati","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2008,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2009,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2009,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2010,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2010,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2011,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2011,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2012,"Kosovo","Planned","NULL","NULL","UMIC","Europe"]
[2012,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2013,"Kosovo","Planned",2.42,0.72,"UMIC","Europe"]
[2013,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2014,"Kosovo","Planned",2.42,0.69,"UMIC","Europe"]
[2014,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2015,"Kosovo","Planned",2.4,0.7,"UMIC","Europe"]
[2015,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2016,"Kosovo","Planned",21.23,5.89,"UMIC","Europe"]
[2016,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2017,"Kosovo","Planned",18.739999999999998,5.85,"UMIC","Europe"]
[2017,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2018,"Kosovo","Planned",19.52,6.04,"UMIC","Europe"]
[2018,"Kosovo","Actual","NULL","NULL","UMIC","Europe"]
[2019,"Kosovo","Planned",19.489999999999998,6.47,"UMIC","Europe"]
[2008,"Kyrgyz Republic","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Kyrgyz Republic","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Kyrgyz Republic","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Kyrgyz Republic","Planned",17,5.12,"LMIC","Asia"]
[2011,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Kyrgyz Republic","Planned",16.38,5.52,"LMIC","Asia"]
[2012,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Kyrgyz Republic","Planned",19.260000000000002,5.76,"LMIC","Asia"]
[2013,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Kyrgyz Republic","Planned",20.420000000000002,5.85,"LMIC","Asia"]
[2014,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Kyrgyz Republic","Planned",18.989999999999998,5.82,"LMIC","Asia"]
[2015,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Kyrgyz Republic","Planned",16.989999999999998,5.24,"LMIC","Asia"]
[2016,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Kyrgyz Republic","Planned",17.88,5.0599999999999996,"LMIC","Asia"]
[2017,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Kyrgyz Republic","Planned",17.89,5.46,"LMIC","Asia"]
[2018,"Kyrgyz Republic","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Kyrgyz Republic","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Lesotho","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Lesotho","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Lesotho","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Lesotho","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Lesotho","Planned","NULL","NULL","LMIC","Africa"]
[2012,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Lesotho","Planned","NULL","NULL","LMIC","Africa"]
[2013,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Lesotho","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Lesotho","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Lesotho","Planned","NULL","NULL","LMIC","Africa"]
[2016,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Lesotho","Planned","NULL","NULL","LMIC","Africa"]
[2017,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Lesotho","Planned","NULL","NULL","LMIC","Africa"]
[2018,"Lesotho","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Lesotho","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Liberia","Planned",1.02,0.11,"LIC","Africa"]
[2008,"Liberia","Actual","NULL","NULL","LIC","Africa"]
[2009,"Liberia","Planned",0.82,0.14000000000000001,"LIC","Africa"]
[2009,"Liberia","Actual","NULL","NULL","LIC","Africa"]
[2010,"Liberia","Planned",0.79,0.14000000000000001,"LIC","Africa"]
[2010,"Liberia","Actual",1.1399999999999999,0.16,"LIC","Africa"]
[2011,"Liberia","Planned",0.93,0.14000000000000001,"LIC","Africa"]
[2011,"Liberia","Actual","NULL","NULL","LIC","Africa"]
[2012,"Liberia","Planned",0.72,0.14000000000000001,"LIC","Africa"]
[2012,"Liberia","Actual",0.91,0.16,"LIC","Africa"]
[2013,"Liberia","Planned",1.1499999999999999,0.19,"LIC","Africa"]
[2013,"Liberia","Actual",1.1599999999999999,0.22,"LIC","Africa"]
[2014,"Liberia","Planned",0.82,0.13,"LIC","Africa"]
[2014,"Liberia","Actual",0.87,0.12,"LIC","Africa"]
[2015,"Liberia","Planned",0.6,0.12,"LIC","Africa"]
[2015,"Liberia","Actual",0.62,0.12,"LIC","Africa"]
[2016,"Liberia","Planned",0.84,0.16,"LIC","Africa"]
[2016,"Liberia","Actual",0.88,0.17,"LIC","Africa"]
[2017,"Liberia","Planned",0.87,0.16,"LIC","Africa"]
[2017,"Liberia","Actual",1.23,0.21,"LIC","Africa"]
[2018,"Liberia","Planned",1.42,0.25,"LIC","Africa"]
[2018,"Liberia","Actual","NULL","NULL","LIC","Africa"]
[2019,"Liberia","Planned",1.66,0.24,"LIC","Africa"]
[2008,"Madagascar","Planned",0.11,0.02,"LIC","Africa"]
[2008,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2009,"Madagascar","Planned",0.56999999999999995,0.13,"LIC","Africa"]
[2009,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2010,"Madagascar","Planned",0.61,0.11,"LIC","Africa"]
[2010,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2011,"Madagascar","Planned",0.56000000000000005,0.1,"LIC","Africa"]
[2011,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2012,"Madagascar","Planned",0.45,0.06,"LIC","Africa"]
[2012,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2013,"Madagascar","Planned",0.84,0.11,"LIC","Africa"]
[2013,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2014,"Madagascar","Planned",0.03,0,"LIC","Africa"]
[2014,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2015,"Madagascar","Planned",0.03,0.01,"LIC","Africa"]
[2015,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2016,"Madagascar","Planned",0.11,0.02,"LIC","Africa"]
[2016,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2017,"Madagascar","Planned",0.2,0.04,"LIC","Africa"]
[2017,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2018,"Madagascar","Planned",0.12,0.02,"LIC","Africa"]
[2018,"Madagascar","Actual","NULL","NULL","LIC","Africa"]
[2019,"Madagascar","Planned",0.24,0.04,"LIC","Africa"]
[2008,"Malawi","Planned","NULL","NULL","LIC","Africa"]
[2008,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2009,"Malawi","Planned","NULL","NULL","LIC","Africa"]
[2009,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2010,"Malawi","Planned","NULL","NULL","LIC","Africa"]
[2010,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2011,"Malawi","Planned",0.39,0.1,"LIC","Africa"]
[2011,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2012,"Malawi","Planned",0.72,0.16,"LIC","Africa"]
[2012,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2013,"Malawi","Planned",2.58,0.61,"LIC","Africa"]
[2013,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2014,"Malawi","Planned",0.86,0.24,"LIC","Africa"]
[2014,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2015,"Malawi","Planned",0.79,0.21,"LIC","Africa"]
[2015,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2016,"Malawi","Planned",0.49,0.12,"LIC","Africa"]
[2016,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2017,"Malawi","Planned",4.6900000000000004,1.26,"LIC","Africa"]
[2017,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2018,"Malawi","Planned",6.03,1.64,"LIC","Africa"]
[2018,"Malawi","Actual","NULL","NULL","LIC","Africa"]
[2019,"Malawi","Planned",6.46,1.82,"LIC","Africa"]
[2008,"Mali","Planned","NULL","NULL","LIC","Africa"]
[2008,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2009,"Mali","Planned","NULL","NULL","LIC","Africa"]
[2009,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2010,"Mali","Planned","NULL","NULL","LIC","Africa"]
[2010,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2011,"Mali","Planned","NULL","NULL","LIC","Africa"]
[2011,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2012,"Mali","Planned","NULL","NULL","LIC","Africa"]
[2012,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2013,"Mali","Planned","NULL","NULL","LIC","Africa"]
[2013,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2014,"Mali","Planned","NULL","NULL","LIC","Africa"]
[2014,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2015,"Mali","Planned","NULL","NULL","LIC","Africa"]
[2015,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2016,"Mali","Planned","NULL","NULL","LIC","Africa"]
[2016,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2017,"Mali","Planned","NULL","NULL","LIC","Africa"]
[2017,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2018,"Mali","Planned",3.83,0.94,"LIC","Africa"]
[2018,"Mali","Actual","NULL","NULL","LIC","Africa"]
[2019,"Mali","Planned",3.89,0.91,"LIC","Africa"]
[2008,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Mauritania","Planned",0.5,1.51,"LMIC","Africa"]
[2009,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Mauritania","Planned",0.79,1.89,"LMIC","Africa"]
[2010,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Mauritania","Planned",0.83,1.63,"LMIC","Africa"]
[2011,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Mauritania","Planned",0.64,1.52,"LMIC","Africa"]
[2012,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2013,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Mauritania","Planned",9.93,27.2,"LMIC","Africa"]
[2016,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Mauritania","Planned",9.94,23.81,"LMIC","Africa"]
[2017,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2018,"Mauritania","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Mauritania","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Moldova","Planned",33.549999999999997,10.57,"LMIC","Europe"]
[2008,"Moldova","Actual",30.18,10.45,"LMIC","Europe"]
[2009,"Moldova","Planned",32.42,12.72,"LMIC","Europe"]
[2009,"Moldova","Actual",33.25,12.53,"LMIC","Europe"]
[2010,"Moldova","Planned",35.22,12.08,"LMIC","Europe"]
[2010,"Moldova","Actual",34.94,11.88,"LMIC","Europe"]
[2011,"Moldova","Planned",33.799999999999997,11.16,"LMIC","Europe"]
[2011,"Moldova","Actual",34.46,11.2,"LMIC","Europe"]
[2012,"Moldova","Planned",32.89,11.07,"LMIC","Europe"]
[2012,"Moldova","Actual",32.74,11.02,"LMIC","Europe"]
[2013,"Moldova","Planned",32.64,10.63,"LMIC","Europe"]
[2013,"Moldova","Actual",32.729999999999997,10.62,"LMIC","Europe"]
[2014,"Moldova","Planned",32.020000000000003,10.41,"LMIC","Europe"]
[2014,"Moldova","Actual","NULL","NULL","LMIC","Europe"]
[2015,"Moldova","Planned",30.37,10.46,"LMIC","Europe"]
[2015,"Moldova","Actual",33.68,10.74,"LMIC","Europe"]
[2016,"Moldova","Planned",33.130000000000003,10.88,"LMIC","Europe"]
[2016,"Moldova","Actual",35.4,10.74,"LMIC","Europe"]
[2017,"Moldova","Planned",33.36,10.65,"LMIC","Europe"]
[2017,"Moldova","Actual",34.770000000000003,10.66,"LMIC","Europe"]
[2018,"Moldova","Planned",33.64,11.02,"LMIC","Europe"]
[2018,"Moldova","Actual","NULL","NULL","LMIC","Europe"]
[2019,"Moldova","Planned",32.67,10.89,"LMIC","Europe"]
[2008,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2011,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2012,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Mongolia","Planned",1.35,0.52,"LMIC","Asia"]
[2013,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Mongolia","Planned",1.72,0.56000000000000005,"LMIC","Asia"]
[2014,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Mongolia","Planned",2.85,0.94,"LMIC","Asia"]
[2015,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Mongolia","Planned",2.35,0.78,"LMIC","Asia"]
[2016,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2017,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Mongolia","Planned",5.27,1.59,"LMIC","Asia"]
[2018,"Mongolia","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Mongolia","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Mozambique","Planned","NULL","NULL","LIC","Africa"]
[2008,"Mozambique","Actual",8.01,1.88,"LIC","Africa"]
[2009,"Mozambique","Planned",6.62,2.02,"LIC","Africa"]
[2009,"Mozambique","Actual",7.65,2.02,"LIC","Africa"]
[2010,"Mozambique","Planned",7.37,2.42,"LIC","Africa"]
[2010,"Mozambique","Actual",7.03,2.1,"LIC","Africa"]
[2011,"Mozambique","Planned",6.62,2.2400000000000002,"LIC","Africa"]
[2011,"Mozambique","Actual",6.64,2.12,"LIC","Africa"]
[2012,"Mozambique","Planned",6.94,2.44,"LIC","Africa"]
[2012,"Mozambique","Actual",7.77,2.46,"LIC","Africa"]
[2013,"Mozambique","Planned",7.36,2.54,"LIC","Africa"]
[2013,"Mozambique","Actual",6.54,2.4700000000000002,"LIC","Africa"]
[2014,"Mozambique","Planned",6.4,2.61,"LIC","Africa"]
[2014,"Mozambique","Actual",6.95,2.69,"LIC","Africa"]
[2015,"Mozambique","Planned",6.53,2.5,"LIC","Africa"]
[2015,"Mozambique","Actual",7.69,2.61,"LIC","Africa"]
[2016,"Mozambique","Planned",6.09,2.16,"LIC","Africa"]
[2016,"Mozambique","Actual",6.87,2.21,"LIC","Africa"]
[2017,"Mozambique","Planned",5.71,1.93,"LIC","Africa"]
[2017,"Mozambique","Actual",6.07,1.87,"LIC","Africa"]
[2018,"Mozambique","Planned","NULL","NULL","LIC","Africa"]
[2018,"Mozambique","Actual","NULL","NULL","LIC","Africa"]
[2019,"Mozambique","Planned","NULL","NULL","LIC","Africa"]
[2008,"Nepal","Planned","NULL","NULL","LIC","Asia"]
[2008,"Nepal","Actual","NULL","NULL","LIC","Asia"]
[2009,"Nepal","Planned","NULL","NULL","LIC","Asia"]
[2009,"Nepal","Actual","NULL","NULL","LIC","Asia"]
[2010,"Nepal","Planned",3.67,0.81,"LIC","Asia"]
[2010,"Nepal","Actual",3.93,0.73,"LIC","Asia"]
[2011,"Nepal","Planned",3.15,0.69,"LIC","Asia"]
[2011,"Nepal","Actual",3.43,0.67,"LIC","Asia"]
[2012,"Nepal","Planned",3.12,0.68,"LIC","Asia"]
[2012,"Nepal","Actual",3.29,0.64,"LIC","Asia"]
[2013,"Nepal","Planned",2.9,0.65,"LIC","Asia"]
[2013,"Nepal","Actual",3.68,0.66,"LIC","Asia"]
[2014,"Nepal","Planned",3.4,0.76,"LIC","Asia"]
[2014,"Nepal","Actual","NULL","NULL","LIC","Asia"]
[2015,"Nepal","Planned",2.89,0.7,"LIC","Asia"]
[2015,"Nepal","Actual",3.51,0.7,"LIC","Asia"]
[2016,"Nepal","Planned","NULL","NULL","LIC","Asia"]
[2016,"Nepal","Actual","NULL","NULL","LIC","Asia"]
[2017,"Nepal","Planned",10.28,4.03,"LIC","Asia"]
[2017,"Nepal","Actual","NULL","NULL","LIC","Asia"]
[2018,"Nepal","Planned","NULL","NULL","LIC","Asia"]
[2018,"Nepal","Actual","NULL","NULL","LIC","Asia"]
[2019,"Nepal","Planned","NULL","NULL","LIC","Asia"]
[2019,"Nepal","Actual","NULL","NULL","LIC","Asia"]
[2008,"Nicaragua","Planned",4.07,0.71,"LMIC","LAC"]
[2008,"Nicaragua","Actual","NULL","NULL","LMIC","LAC"]
[2009,"Nicaragua","Planned",3.71,0.71,"LMIC","LAC"]
[2009,"Nicaragua","Actual","NULL","NULL","LMIC","LAC"]
[2010,"Nicaragua","Planned",3.01,0.5,"LMIC","LAC"]
[2010,"Nicaragua","Actual","NULL","NULL","LMIC","LAC"]
[2011,"Nicaragua","Planned",3.91,0.64,"LMIC","LAC"]
[2011,"Nicaragua","Actual",0,0,"LMIC","LAC"]
[2012,"Nicaragua","Planned",3.23,0.55000000000000004,"LMIC","LAC"]
[2012,"Nicaragua","Actual",3.75,0.64,"LMIC","LAC"]
[2013,"Nicaragua","Planned",3.01,0.53,"LMIC","LAC"]
[2013,"Nicaragua","Actual",3.43,0.59,"LMIC","LAC"]
[2014,"Nicaragua","Planned",3.25,0.59,"LMIC","LAC"]
[2014,"Nicaragua","Actual",3.34,0.59,"LMIC","LAC"]
[2015,"Nicaragua","Planned",2.72,0.48,"LMIC","LAC"]
[2015,"Nicaragua","Actual",3.28,0.6,"LMIC","LAC"]
[2016,"Nicaragua","Planned",2.7,0.51,"LMIC","LAC"]
[2016,"Nicaragua","Actual","NULL","NULL","LMIC","LAC"]
[2017,"Nicaragua","Planned",2.4500000000000002,0.47,"LMIC","LAC"]
[2017,"Nicaragua","Actual","NULL","NULL","LMIC","LAC"]
[2018,"Nicaragua","Planned","NULL","NULL","LMIC","LAC"]
[2018,"Nicaragua","Actual","NULL","NULL","LMIC","LAC"]
[2019,"Nicaragua","Planned","NULL","NULL","LMIC","LAC"]
[2008,"Niger","Planned","NULL","NULL","LIC","Africa"]
[2008,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2009,"Niger","Planned","NULL","NULL","LIC","Africa"]
[2009,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2010,"Niger","Planned","NULL","NULL","LIC","Africa"]
[2010,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2011,"Niger","Planned","NULL","NULL","LIC","Africa"]
[2011,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2012,"Niger","Planned","NULL","NULL","LIC","Africa"]
[2012,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2013,"Niger","Planned","NULL","NULL","LIC","Africa"]
[2013,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2014,"Niger","Planned","NULL","NULL","LIC","Africa"]
[2014,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2015,"Niger","Planned","NULL","NULL","LIC","Africa"]
[2015,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2016,"Niger","Planned","NULL","NULL","LIC","Africa"]
[2016,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2017,"Niger","Planned","NULL","NULL","LIC","Africa"]
[2017,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2018,"Niger","Planned",0.51,0.17,"LIC","Africa"]
[2018,"Niger","Actual","NULL","NULL","LIC","Africa"]
[2019,"Niger","Planned",0.94,0.32,"LIC","Africa"]
[2008,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2012,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2013,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2014,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2015,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2016,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2017,"Nigeria","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Nigeria","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Occupied Palestinian Territory","Planned","NULL","NULL","LMIC","Middle East"]
[2008,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2009,"Occupied Palestinian Territory","Planned","NULL","NULL","LMIC","Middle East"]
[2009,"Occupied Palestinian Territory","Actual",2.2400000000000002,1.19,"LMIC","Middle East"]
[2010,"Occupied Palestinian Territory","Planned",2.88,1.35,"LMIC","Middle East"]
[2010,"Occupied Palestinian Territory","Actual",2.57,1.04,"LMIC","Middle East"]
[2011,"Occupied Palestinian Territory","Planned","NULL","NULL","LMIC","Middle East"]
[2011,"Occupied Palestinian Territory","Actual",2.95,1.1200000000000001,"LMIC","Middle East"]
[2012,"Occupied Palestinian Territory","Planned",8.43,2.62,"LMIC","Middle East"]
[2012,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2013,"Occupied Palestinian Territory","Planned",9.3699999999999992,3.01,"LMIC","Middle East"]
[2013,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2014,"Occupied Palestinian Territory","Planned",9.31,3.11,"LMIC","Middle East"]
[2014,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2015,"Occupied Palestinian Territory","Planned",7.5,2.97,"LMIC","Middle East"]
[2015,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2016,"Occupied Palestinian Territory","Planned",8.68,2.93,"LMIC","Middle East"]
[2016,"Occupied Palestinian Territory","Actual","NULL",2.65,"LMIC","Middle East"]
[2017,"Occupied Palestinian Territory","Planned",8.5500000000000007,2.92,"LMIC","Middle East"]
[2017,"Occupied Palestinian Territory","Actual","NULL",2.09,"LMIC","Middle East"]
[2018,"Occupied Palestinian Territory","Planned",8.2100000000000009,2.83,"LMIC","Middle East"]
[2018,"Occupied Palestinian Territory","Actual","NULL","NULL","LMIC","Middle East"]
[2019,"Occupied Palestinian Territory","Planned",8.503317116320213,2.8375242136334284,"LMIC","Middle East"]
[2008,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2011,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2012,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2013,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2014,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2015,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2016,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2017,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2018,"Pakistan","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Pakistan","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Papua New Guinea","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Papua New Guinea","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Papua New Guinea","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Papua New Guinea","Actual",2.2000000000000002,0.4,"LMIC","Asia"]
[2011,"Papua New Guinea","Planned",4.59,1,"LMIC","Asia"]
[2011,"Papua New Guinea","Actual",4.3,0.9,"LMIC","Asia"]
[2012,"Papua New Guinea","Planned",3.62,0.88,"LMIC","Asia"]
[2012,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Papua New Guinea","Planned",3.45,0.94,"LMIC","Asia"]
[2013,"Papua New Guinea","Actual",1.6,0.42,"LMIC","Asia"]
[2014,"Papua New Guinea","Planned",1.85,0.5,"LMIC","Asia"]
[2014,"Papua New Guinea","Actual",2.21,0.6,"LMIC","Asia"]
[2015,"Papua New Guinea","Planned",2.2200000000000002,0.6,"LMIC","Asia"]
[2015,"Papua New Guinea","Actual",1.86,0.43,"LMIC","Asia"]
[2016,"Papua New Guinea","Planned",1.69,0.38,"LMIC","Asia"]
[2016,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Papua New Guinea","Planned",2.25,0.42,"LMIC","Asia"]
[2017,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Papua New Guinea","Planned",2.38,0.46,"LMIC","Asia"]
[2018,"Papua New Guinea","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Papua New Guinea","Planned",2.2000000000000002,0.44,"LMIC","Asia"]
[2008,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2011,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2012,"Paraguay","Planned","NULL","NULL","UMIC","LAC"]
[2012,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2013,"Paraguay","Planned",0.86,0.3,"UMIC","LAC"]
[2013,"Paraguay","Actual",0.93,0.25,"UMIC","LAC"]
[2014,"Paraguay","Planned",0.89,0.28999999999999998,"UMIC","LAC"]
[2014,"Paraguay","Actual",1.46,0.41,"UMIC","LAC"]
[2015,"Paraguay","Planned",11.06,3.93,"UMIC","LAC"]
[2015,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2016,"Paraguay","Planned",12.19,3.96,"UMIC","LAC"]
[2016,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2017,"Paraguay","Planned",12.93,3.92,"UMIC","LAC"]
[2017,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2018,"Paraguay","Planned",14.44,4.17,"UMIC","LAC"]
[2018,"Paraguay","Actual","NULL","NULL","UMIC","LAC"]
[2019,"Paraguay","Planned",13.99,4.1900000000000004,"UMIC","LAC"]
[2008,"Peru","Planned","NULL","NULL","UMIC","LAC"]
[2008,"Peru","Actual","NULL","NULL","UMIC","LAC"]
[2009,"Peru","Planned","NULL","NULL","UMIC","LAC"]
[2009,"Peru","Actual","NULL","NULL","UMIC","LAC"]
[2010,"Peru","Planned","NULL","NULL","UMIC","LAC"]
[2010,"Peru","Actual","NULL","NULL","UMIC","LAC"]
[2011,"Peru","Planned",1.79,0.34,"UMIC","LAC"]
[2011,"Peru","Actual",1.92,0.38,"UMIC","LAC"]
[2012,"Peru","Planned",1.91,0.36,"UMIC","LAC"]
[2012,"Peru","Actual",3.6,0.73,"UMIC","LAC"]
[2013,"Peru","Planned",3.8,0.76,"UMIC","LAC"]
[2013,"Peru","Actual",3.8,0.81,"UMIC","LAC"]
[2014,"Peru","Planned",3.85,0.8,"UMIC","LAC"]
[2014,"Peru","Actual",4.26,0.96,"UMIC","LAC"]
[2015,"Peru","Planned",4.21,0.9,"UMIC","LAC"]
[2015,"Peru","Actual",3.63,0.81,"UMIC","LAC"]
[2016,"Peru","Planned",3.83,0.81,"UMIC","LAC"]
[2016,"Peru","Actual",3.59,0.75,"UMIC","LAC"]
[2017,"Peru","Planned",3.76,0.77,"UMIC","LAC"]
[2017,"Peru","Actual",3.65,0.79,"UMIC","LAC"]
[2018,"Peru","Planned",3.56,0.75,"UMIC","LAC"]
[2018,"Peru","Actual",3.49,0.76,"UMIC","LAC"]
[2019,"Peru","Planned",3.38,0.73,"UMIC","LAC"]
[2008,"Rwanda","Planned",2.8,0.62,"LIC","Africa"]
[2008,"Rwanda","Actual",2.46,0.59,"LIC","Africa"]
[2009,"Rwanda","Planned","NULL","NULL","LIC","Africa"]
[2009,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2010,"Rwanda","Planned",4.8499999999999996,1.1599999999999999,"LIC","Africa"]
[2010,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2011,"Rwanda","Planned",4.26,1.02,"LIC","Africa"]
[2011,"Rwanda","Actual",3.75,0.93,"LIC","Africa"]
[2012,"Rwanda","Planned",2.72,0.67,"LIC","Africa"]
[2012,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2013,"Rwanda","Planned",3.27,0.92,"LIC","Africa"]
[2013,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2014,"Rwanda","Planned",2.88,0.87,"LIC","Africa"]
[2014,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2015,"Rwanda","Planned",2.8,0.82,"LIC","Africa"]
[2015,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2016,"Rwanda","Planned",3.01,0.8,"LIC","Africa"]
[2016,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2017,"Rwanda","Planned",2.99,0.77,"LIC","Africa"]
[2017,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2018,"Rwanda","Planned",3.24,0.83,"LIC","Africa"]
[2018,"Rwanda","Actual","NULL","NULL","LIC","Africa"]
[2019,"Rwanda","Planned",2.91,0.82,"LIC","Africa"]
[2008,"Samoa","Planned","NULL",1.1499999999999999,"UMIC","Asia"]
[2008,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2009,"Samoa","Planned",2.4500000000000002,1.18,"UMIC","Asia"]
[2009,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2010,"Samoa","Planned",2.27,1.1599999999999999,"UMIC","Asia"]
[2010,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2011,"Samoa","Planned",2.57,1.1499999999999999,"UMIC","Asia"]
[2011,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2012,"Samoa","Planned",2.76,0.95,"UMIC","Asia"]
[2012,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2013,"Samoa","Planned",2.65,0.99,"UMIC","Asia"]
[2013,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2014,"Samoa","Planned",2.82,1.08,"UMIC","Asia"]
[2014,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2015,"Samoa","Planned",3.49,1.02,"UMIC","Asia"]
[2015,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2016,"Samoa","Planned",2.5099999999999998,0.96,"UMIC","Asia"]
[2016,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2017,"Samoa","Planned",2.19,0.92,"UMIC","Asia"]
[2017,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2018,"Samoa","Planned",2.2000000000000002,0.92,"UMIC","Asia"]
[2018,"Samoa","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Samoa","Planned",2.11,0.83,"UMIC","Asia"]
[2008,"Sao Tome and Principe","Planned",2.16,0.96,"LMIC","Africa"]
[2008,"Sao Tome and Principe","Actual",1.47,0.56000000000000005,"LMIC","Africa"]
[2009,"Sao Tome and Principe","Planned",1.1200000000000001,0.8,"LMIC","Africa"]
[2009,"Sao Tome and Principe","Actual",2.02,1.17,"LMIC","Africa"]
[2010,"Sao Tome and Principe","Planned",1.56,1.04,"LMIC","Africa"]
[2010,"Sao Tome and Principe","Actual",1.4,0.71,"LMIC","Africa"]
[2011,"Sao Tome and Principe","Planned",0.96,0.71,"LMIC","Africa"]
[2011,"Sao Tome and Principe","Actual",1.37,0.77,"LMIC","Africa"]
[2012,"Sao Tome and Principe","Planned",1.05,0.59,"LMIC","Africa"]
[2012,"Sao Tome and Principe","Actual",0.88,0.38,"LMIC","Africa"]
[2013,"Sao Tome and Principe","Planned",0.57999999999999996,0.28000000000000003,"LMIC","Africa"]
[2013,"Sao Tome and Principe","Actual","NULL",0.11,"LMIC","Africa"]
[2014,"Sao Tome and Principe","Planned",0.57999999999999996,0.27,"LMIC","Africa"]
[2014,"Sao Tome and Principe","Actual",0.38,0.12,"LMIC","Africa"]
[2015,"Sao Tome and Principe","Planned",0.53,0.23,"LMIC","Africa"]
[2015,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Sao Tome and Principe","Planned",0.66,0.31,"LMIC","Africa"]
[2016,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Sao Tome and Principe","Planned",0.85,0.32,"LMIC","Africa"]
[2017,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Sao Tome and Principe","Planned",2.2599999999999998,0.82,"LMIC","Africa"]
[2018,"Sao Tome and Principe","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Sao Tome and Principe","Planned",2.17,0.7,"LMIC","Africa"]
[2008,"Senegal","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Senegal","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Senegal","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Senegal","Planned","NULL","NULL","LMIC","Africa"]
[2011,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Senegal","Planned","NULL","NULL","LMIC","Africa"]
[2012,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Senegal","Planned",1.22,0.28000000000000003,"LMIC","Africa"]
[2013,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Senegal","Planned",1.33,0.3,"LMIC","Africa"]
[2014,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Senegal","Planned",2.33,0.52,"LMIC","Africa"]
[2015,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Senegal","Planned",3.88,0.86,"LMIC","Africa"]
[2016,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Senegal","Planned",2.99,0.65,"LMIC","Africa"]
[2017,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Senegal","Planned",2.62,0.72,"LMIC","Africa"]
[2018,"Senegal","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Senegal","Planned",2.8,0.79,"LMIC","Africa"]
[2008,"Sierra Leone","Planned","NULL","NULL","LIC","Africa"]
[2008,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2009,"Sierra Leone","Planned",0.39,7.0000000000000007E-2,"LIC","Africa"]
[2009,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2010,"Sierra Leone","Planned",0.34,0.06,"LIC","Africa"]
[2010,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2011,"Sierra Leone","Planned",1.96,0.34,"LIC","Africa"]
[2011,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2012,"Sierra Leone","Planned",2,0.34,"LIC","Africa"]
[2012,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2013,"Sierra Leone","Planned",2.5299999999999998,0.38,"LIC","Africa"]
[2013,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2014,"Sierra Leone","Planned",2.42,0.44,"LIC","Africa"]
[2014,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2015,"Sierra Leone","Planned",2.71,0.56000000000000005,"LIC","Africa"]
[2015,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2016,"Sierra Leone","Planned",2.57,0.49,"LIC","Africa"]
[2016,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2017,"Sierra Leone","Planned",2.16,0.43,"LIC","Africa"]
[2017,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2018,"Sierra Leone","Planned",2.9,0.65,"LIC","Africa"]
[2018,"Sierra Leone","Actual","NULL","NULL","LIC","Africa"]
[2019,"Sierra Leone","Planned",2.72,0.55000000000000004,"LIC","Africa"]
[2008,"Solomon Islands","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Solomon Islands","Planned",0.8,0.46,"LMIC","Asia"]
[2009,"Solomon Islands","Actual",0.39,0.22,"LMIC","Asia"]
[2010,"Solomon Islands","Planned",0.77,0.44,"LMIC","Asia"]
[2010,"Solomon Islands","Actual",0.48,0.27,"LMIC","Asia"]
[2011,"Solomon Islands","Planned",1.59,0.79,"LMIC","Asia"]
[2011,"Solomon Islands","Actual",1.35,0.64,"LMIC","Asia"]
[2012,"Solomon Islands","Planned",0.46,0.26,"LMIC","Asia"]
[2012,"Solomon Islands","Actual",0.52,0.25,"LMIC","Asia"]
[2013,"Solomon Islands","Planned",0.73,0.39,"LMIC","Asia"]
[2013,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Solomon Islands","Planned",0.5,0.26,"LMIC","Asia"]
[2014,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Solomon Islands","Planned",0.54,0.27,"LMIC","Asia"]
[2015,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Solomon Islands","Planned",0.39,0.18,"LMIC","Asia"]
[2016,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Solomon Islands","Planned",0.62,0.28000000000000003,"LMIC","Asia"]
[2017,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Solomon Islands","Planned",0.41,0.19,"LMIC","Asia",null,{"$f":"3.26-2.27","v":0.98999999999999977}]
[2018,"Solomon Islands","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Solomon Islands","Planned",0.52,0.25,"LMIC","Asia"]
[2008,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2008,"South Africa","Actual","NULL","NULL","UMIC","Africa"]
[2009,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2009,"South Africa","Actual","NULL","NULL","UMIC","Africa"]
[2010,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2010,"South Africa","Actual","NULL","NULL","UMIC","Africa"]
[2011,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2011,"South Africa","Actual",12.57,3.38,"UMIC","Africa"]
[2012,"South Africa","Planned","NULL","NULL","UMIC","Africa"]
[2012,"South Africa","Actual",12.6,3.47,"UMIC","Africa"]
[2013,"South Africa","Planned",12.58,3.46,"UMIC","Africa"]
[2013,"South Africa","Actual",12.5,3.43,"UMIC","Africa"]
[2014,"South Africa","Planned",12.49,3.48,"UMIC","Africa"]
[2014,"South Africa","Actual",12.19,3.39,"UMIC","Africa"]
[2015,"South Africa","Planned",12.32,3.51,"UMIC","Africa"]
[2015,"South Africa","Actual",12.35,3.48,"UMIC","Africa"]
[2016,"South Africa","Planned",12.31,3.5,"UMIC","Africa"]
[2016,"South Africa","Actual",11.95,3.45,"UMIC","Africa"]
[2017,"South Africa","Planned",12.3,3.53,"UMIC","Africa"]
[2017,"South Africa","Actual",12.22,3.49,"UMIC","Africa"]
[2018,"South Africa","Planned",12.41,3.62,"UMIC","Africa"]
[2018,"South Africa","Actual","NULL",0,"UMIC","Africa"]
[2019,"South Africa","Planned",12.35,3.71,"UMIC","Africa"]
[2008,"South Sudan","Planned","NULL","NULL","LIC","Africa"]
[2008,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2009,"South Sudan","Planned","NULL","NULL","LIC","Africa"]
[2009,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2010,"South Sudan","Planned","NULL","NULL","LIC","Africa"]
[2010,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2011,"South Sudan","Planned","NULL","NULL","LIC","Africa"]
[2011,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2012,"South Sudan","Planned",1.37,0.33,"LIC","Africa"]
[2012,"South Sudan","Actual",1.22,0.37,"LIC","Africa"]
[2013,"South Sudan","Planned",0.83,0.13,"LIC","Africa"]
[2013,"South Sudan","Actual",0.38,0.06,"LIC","Africa"]
[2014,"South Sudan","Planned",0.77,0.17,"LIC","Africa"]
[2014,"South Sudan","Actual","NULL",7.0000000000000007E-2,"LIC","Africa"]
[2015,"South Sudan","Planned",0.6,0.12,"LIC","Africa"]
[2015,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2016,"South Sudan","Planned",0.62,0.04,"LIC","Africa"]
[2016,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2017,"South Sudan","Planned",0.48,0.05,"LIC","Africa"]
[2017,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2018,"South Sudan","Planned",0.25,0.02,"LIC","Africa"]
[2018,"South Sudan","Actual","NULL","NULL","LIC","Africa"]
[2019,"South Sudan","Planned",0.22,0.02,"LIC","Africa"]
[2008,"Sri Lanka","Planned","NULL","NULL","UMIC","Asia"]
[2008,"Sri Lanka","Actual","NULL","NULL","UMIC","Asia"]
[2009,"Sri Lanka","Planned","NULL","NULL","UMIC","Asia"]
[2009,"Sri Lanka","Actual","NULL","NULL","UMIC","Asia"]
[2010,"Sri Lanka","Planned","NULL","NULL","UMIC","Asia"]
[2010,"Sri Lanka","Actual","NULL","NULL","UMIC","Asia"]
[2011,"Sri Lanka","Planned","NULL","NULL","UMIC","Asia"]
[2011,"Sri Lanka","Actual",0.12,0.02,"UMIC","Asia"]
[2012,"Sri Lanka","Planned",0.12,0.02,"UMIC","Asia"]
[2012,"Sri Lanka","Actual",0.14000000000000001,0.03,"UMIC","Asia"]
[2013,"Sri Lanka","Planned",0.26,0.05,"UMIC","Asia"]
[2013,"Sri Lanka","Actual",0.25,0.05,"UMIC","Asia"]
[2014,"Sri Lanka","Planned",0.25,0.05,"UMIC","Asia"]
[2014,"Sri Lanka","Actual",0.72,0.15,"UMIC","Asia"]
[2015,"Sri Lanka","Planned",0.31,7.0000000000000007E-2,"UMIC","Asia"]
[2015,"Sri Lanka","Actual",9.56,2.06,"UMIC","Asia"]
[2016,"Sri Lanka","Planned",0.96,0.2,"UMIC","Asia"]
[2016,"Sri Lanka","Actual",9.32,1.84,"UMIC","Asia"]
[2017,"Sri Lanka","Planned",7.97,1.68,"UMIC","Asia"]
[2017,"Sri Lanka","Actual",8.5,1.69,"UMIC","Asia"]
[2018,"Sri Lanka","Planned",8.1999999999999993,1.7,"UMIC","Asia"]
[2018,"Sri Lanka","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Sri Lanka","Planned",8.69,1.77,"UMIC","Asia"]
[2008,"Tajikistan","Planned",3.42,0.95,"LIC","Asia"]
[2008,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2009,"Tajikistan","Planned",3.76,1.0900000000000001,"LIC","Asia"]
[2009,"Tajikistan","Actual",3.67,1.05,"LIC","Asia"]
[2010,"Tajikistan","Planned",3.44,0.98,"LIC","Asia"]
[2010,"Tajikistan","Actual",4.5199999999999996,1.18,"LIC","Asia"]
[2011,"Tajikistan","Planned",3.31,0.97,"LIC","Asia"]
[2011,"Tajikistan","Actual",3.47,0.94,"LIC","Asia"]
[2012,"Tajikistan","Planned",3.22,0.92,"LIC","Asia"]
[2012,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2013,"Tajikistan","Planned","NULL","NULL","LIC","Asia"]
[2013,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2014,"Tajikistan","Planned","NULL","NULL","LIC","Asia"]
[2014,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2015,"Tajikistan","Planned",18.579999999999998,5.96,"LIC","Asia"]
[2015,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2016,"Tajikistan","Planned",16.66,5.69,"LIC","Asia"]
[2016,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2017,"Tajikistan","Planned",16.36,5.32,"LIC","Asia"]
[2017,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2018,"Tajikistan","Planned",15.74,4.88,"LIC","Asia"]
[2018,"Tajikistan","Actual","NULL","NULL","LIC","Asia"]
[2019,"Tajikistan","Planned",15.22,4.7300000000000004,"LIC","Asia"]
[2008,"Tanzania","Planned","NULL","NULL","LIC","Africa"]
[2008,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2009,"Tanzania","Planned","NULL","NULL","LIC","Africa"]
[2009,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2010,"Tanzania","Planned","NULL","NULL","LIC","Africa"]
[2010,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2011,"Tanzania","Planned","NULL","NULL","LIC","Africa"]
[2011,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2012,"Tanzania","Planned","NULL","NULL","LIC","Africa"]
[2012,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2013,"Tanzania","Planned","NULL","NULL","LIC","Africa"]
[2013,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2014,"Tanzania","Planned","NULL","NULL","LIC","Africa"]
[2014,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2015,"Tanzania","Planned","NULL","NULL","LIC","Africa"]
[2015,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2016,"Tanzania","Planned","NULL","NULL","LIC","Africa"]
[2016,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2017,"Tanzania","Planned","NULL","NULL","LIC","Africa"]
[2017,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2018,"Tanzania","Planned","NULL","NULL","LIC","Africa"]
[2018,"Tanzania","Actual","NULL","NULL","LIC","Africa"]
[2019,"Tanzania","Planned","NULL","NULL","LIC","Africa"]
[2008,"Timor-Leste","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Timor-Leste","Planned",9.2899999999999991,2.62,"LMIC","Asia"]
[2009,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Timor-Leste","Planned",6.72,1.4,"LMIC","Asia"]
[2010,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Timor-Leste","Planned",8.3699999999999992,2.2200000000000002,"LMIC","Asia"]
[2011,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Timor-Leste","Planned",7.24,2.02,"LMIC","Asia"]
[2012,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Timor-Leste","Planned",8.6300000000000008,2.83,"LMIC","Asia"]
[2013,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Timor-Leste","Planned",8.83,3.68,"LMIC","Asia"]
[2014,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Timor-Leste","Planned",11.36,6.37,"LMIC","Asia"]
[2015,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Timor-Leste","Planned",9.26,6.31,"LMIC","Asia"]
[2016,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Timor-Leste","Planned",10.52,6.53,"LMIC","Asia"]
[2017,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Timor-Leste","Planned",10.62,5.65,"LMIC","Asia"]
[2018,"Timor-Leste","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Timor-Leste","Planned",9.7100000000000009,5.44,"LMIC","Asia"]
[2008,"Togo","Planned","NULL","NULL","LIC","Africa"]
[2008,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2009,"Togo","Planned",3.27,0.64,"LIC","Africa"]
[2009,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2010,"Togo","Planned",2.14,0.55000000000000004,"LIC","Africa"]
[2010,"Togo","Actual",2.37,0.5,"LIC","Africa"]
[2011,"Togo","Planned",1.3,0.35,"LIC","Africa"]
[2011,"Togo","Actual",1.28,0.3,"LIC","Africa"]
[2012,"Togo","Planned",1.3,0.39,"LIC","Africa"]
[2012,"Togo","Actual",1.24,0.34,"LIC","Africa"]
[2013,"Togo","Planned",1.33,0.44,"LIC","Africa"]
[2013,"Togo","Actual",1.21,0.34,"LIC","Africa"]
[2014,"Togo","Planned",1.43,0.47,"LIC","Africa"]
[2014,"Togo","Actual",1.62,0.46,"LIC","Africa"]
[2015,"Togo","Planned",1.27,0.37,"LIC","Africa"]
[2015,"Togo","Actual",1.03,0.33,"LIC","Africa"]
[2016,"Togo","Planned",1.02,0.31,"LIC","Africa"]
[2016,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2017,"Togo","Planned",0.31,0.1,"LIC","Africa"]
[2017,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2018,"Togo","Planned",0.27,0.08,"LIC","Africa"]
[2018,"Togo","Actual","NULL","NULL","LIC","Africa"]
[2019,"Togo","Planned","NULL","NULL","LIC","Africa"]
[2008,"Tonga","Planned","NULL","NULL","UMIC","Asia"]
[2008,"Tonga","Actual","NULL","NULL","UMIC","Asia"]
[2009,"Tonga","Planned","NULL","NULL","UMIC","Asia"]
[2009,"Tonga","Actual","NULL","NULL","UMIC","Asia"]
[2010,"Tonga","Planned","NULL","NULL","UMIC","Asia"]
[2010,"Tonga","Actual","NULL","NULL","UMIC","Asia"]
[2011,"Tonga","Planned","NULL","NULL","UMIC","Asia"]
[2011,"Tonga","Actual","NULL","NULL","UMIC","Asia"]
[2012,"Tonga","Planned","NULL","NULL","UMIC","Asia"]
[2012,"Tonga","Actual","NULL","NULL","UMIC","Asia"]
[2013,"Tonga","Planned","NULL","NULL","UMIC","Asia"]
[2013,"Tonga","Actual","NULL","NULL","UMIC","Asia"]
[2014,"Tonga","Planned","NULL","NULL","UMIC","Asia"]
[2014,"Tonga","Actual","NULL","NULL","UMIC","Asia"]
[2015,"Tonga","Planned",1.74,0.6,"UMIC","Asia"]
[2015,"Tonga","Actual",2.09,0.62,"UMIC","Asia"]
[2016,"Tonga","Planned",1.49,0.53,"UMIC","Asia"]
[2016,"Tonga","Actual",1.84,0.54,"UMIC","Asia"]
[2017,"Tonga","Planned",1.66,0.55000000000000004,"UMIC","Asia"]
[2017,"Tonga","Actual",1.75,0.52,"UMIC","Asia"]
[2018,"Tonga","Planned",1.71,0.62,"UMIC","Asia"]
[2018,"Tonga","Actual","NULL","NULL","UMIC","Asia"]
[2019,"Tonga","Planned",1.32,0.56000000000000005,"UMIC","Asia"]
[2008,"Uganda","Planned","NULL","NULL","LIC","Africa"]
[2008,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2009,"Uganda","Planned",0.39,0.08,"LIC","Africa"]
[2009,"Uganda","Actual",0.41,7.0000000000000007E-2,"LIC","Africa"]
[2010,"Uganda","Planned",0.46,0.09,"LIC","Africa"]
[2010,"Uganda","Actual",0.4,0.08,"LIC","Africa"]
[2011,"Uganda","Planned",0.24,0.05,"LIC","Africa"]
[2011,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2012,"Uganda","Planned",0.22,0.04,"LIC","Africa"]
[2012,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2013,"Uganda","Planned",0.41,7.0000000000000007E-2,"LIC","Africa"]
[2013,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2014,"Uganda","Planned",0.2,0.04,"LIC","Africa"]
[2014,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2015,"Uganda","Planned",0.2,0.04,"LIC","Africa"]
[2015,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2016,"Uganda","Planned",0.32,7.0000000000000007E-2,"LIC","Africa"]
[2016,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2017,"Uganda","Planned",0.52,0.11,"LIC","Africa"]
[2017,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2018,"Uganda","Planned",0.44,0.09,"LIC","Africa"]
[2018,"Uganda","Actual","NULL","NULL","LIC","Africa"]
[2019,"Uganda","Planned",0.49,0.1,"LIC","Africa"]
[2008,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2011,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2012,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2013,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2014,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2015,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2016,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2017,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2018,"Vanuatu","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Vanuatu","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2009,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2009,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2010,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2010,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2011,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2011,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2012,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2012,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2013,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2013,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2014,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2014,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2015,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2015,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2016,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2016,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2017,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2017,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2018,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2018,"Vietnam","Actual","NULL","NULL","LMIC","Asia"]
[2019,"Vietnam","Planned","NULL","NULL","LMIC","Asia"]
[2008,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2008,"Yemen, Rep.","Actual",0.23,0.1,"LIC","Middle East"]
[2009,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2009,"Yemen, Rep.","Actual",2.63,0.94,"LIC","Middle East"]
[2010,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2010,"Yemen, Rep.","Actual",2.39,0.73,"LIC","Middle East"]
[2011,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2011,"Yemen, Rep.","Actual",2.58,0.76,"LIC","Middle East"]
[2012,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2012,"Yemen, Rep.","Actual",20.02,7.32,"LIC","Middle East"]
[2013,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2013,"Yemen, Rep.","Actual",18.8,5.87,"LIC","Middle East"]
[2014,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2014,"Yemen, Rep.","Actual","NULL","NULL","LIC","Middle East"]
[2015,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2015,"Yemen, Rep.","Actual","NULL","NULL","LIC","Middle East"]
[2016,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2016,"Yemen, Rep.","Actual","NULL","NULL","LIC","Middle East"]
[2017,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2017,"Yemen, Rep.","Actual","NULL","NULL","LIC","Middle East"]
[2018,"Yemen, Rep.","Planned","NULL","NULL","LIC","Middle East"]
[2008,"Zambia","Planned",0.74,0.15,"LMIC","Africa"]
[2008,"Zambia","Actual",0.83,0.16,"LMIC","Africa"]
[2009,"Zambia","Planned",0.55000000000000004,0.11,"LMIC","Africa"]
[2009,"Zambia","Actual",0.7,0.12,"LMIC","Africa"]
[2010,"Zambia","Planned",0.63,0.11,"LMIC","Africa"]
[2010,"Zambia","Actual",0.67,0.12,"LMIC","Africa"]
[2011,"Zambia","Planned",1.1100000000000001,0.2,"LMIC","Africa"]
[2011,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Zambia","Planned",0.92,0.2,"LMIC","Africa"]
[2012,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Zambia","Planned",0.87,0.18,"LMIC","Africa"]
[2013,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Zambia","Planned",1,0.26,"LMIC","Africa"]
[2014,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Zambia","Planned",0.97,0.25,"LMIC","Africa"]
[2015,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Zambia","Planned",0.88,0.22,"LMIC","Africa"]
[2016,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Zambia","Planned",1.61,0.42,"LMIC","Africa"]
[2017,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Zambia","Planned",1.73,0.44,"LMIC","Africa"]
[2018,"Zambia","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Zambia","Planned",2.52,0.7,"LMIC","Africa"]
[2008,"Zimbabwe","Planned","NULL","NULL","LMIC","Africa"]
[2008,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2009,"Zimbabwe","Planned","NULL","NULL","LMIC","Africa"]
[2009,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2010,"Zimbabwe","Planned","NULL","NULL","LMIC","Africa"]
[2010,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2011,"Zimbabwe","Planned",0.9,0.2,"LMIC","Africa"]
[2011,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2012,"Zimbabwe","Planned",0.84,0.2,"LMIC","Africa"]
[2012,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2013,"Zimbabwe","Planned",0.65,0.13,"LMIC","Africa"]
[2013,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2014,"Zimbabwe","Planned",0.83,0.18,"LMIC","Africa"]
[2014,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2015,"Zimbabwe","Planned",0.53,0.11,"LMIC","Africa"]
[2015,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2016,"Zimbabwe","Planned",1.1599999999999999,0.22,"LMIC","Africa"]
[2016,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2017,"Zimbabwe","Planned","NULL","NULL","LMIC","Africa"]
[2017,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2018,"Zimbabwe","Planned",11.67,1.31,"LMIC","Africa"]
[2018,"Zimbabwe","Actual","NULL","NULL","LMIC","Africa"]
[2019,"Zimbabwe","Planned",13.61,0.72,"LMIC","Africa"]

{"sheet":"PS_Source_ILO 2018 S1","index":26,"n_rows":172,"n_cols":6,"rows_kept":172,"cut":false,"hidden":false,"merged":[]}
["Country Name","Region","ILO","Year "]
[1,2,3,4]
["Afghanistan","SA",""]
["Albania","ECA",28.50933120851591,2014]
["Algeria","MENA",11.846892698241133,2011]
["Angola","SSA",16.551372700459112,2014]
["Antigua and Barbuda","LAC",""]
["Argentina","LAC",34.324442476728052,2015]
["Armenia","ECA",21.447688803951046,2014]
["Australia","EAP",33.554807770580872,2014]
["Austria","ECA",36.556578192926629,2014]
["Azerbaijan","ECA",17.121293742506715,2014]
["Bahrain","MENA",14.039617391304345,2010]
["Bangladesh","SA",6.3856109870477891,2014]
["Barbados","LAC",21.935583531222207,2010]
["Belarus","ECA",38.564488270016895,2014]
["Belgium","ECA",37.902038306608446,2014]
["Belize","LAC",2.082420886075949,2015]
["Benin","SSA",7.8720239681975572,2010]
["Bhutan","SA",0.16820231862145768,2014]
["Bolivia","LAC",13.59294079455918,2014]
["Botswana","SSA",6.8785205268023617,2010]
["Brazil","LAC",34.46457642335006,2015]
["Brunei Darussalam","EAP",0.82561037634932122,2011]
["Bulgaria","ECA",37.247919420201967,2014]
["Burkina Faso","SSA",""]
["Burundi","SSA",""]
["Cabo Verde","SSA",8.7845743877043283,2010]
["Cambodia","EAP",""]
["Cameroon","SSA",5.163468023245918,2010]
["Canada","NA",25.482876959448969,2014]
["Central African Republic","SSA",1.8914476759445579E-2,2017]
["Chad","SSA",0.49626492746271877,2010]
["Chile","LAC",44.948203737625775,2015]
["China","EAP",19.683859639710128,2014]
["Colombia","LAC",30.713998326366639,2015]
["Comoros","SSA",""]
["Congo, Dem. Rep.","SSA",12.410891405074832,2012]
["Congo, Rep.","SSA",0.35959655164358717,2013]
["Costa Rica","LAC",20,2015]
["Cote d'Ivoire","SSA",1.446653753036385,2015]
["Croatia","ECA",31.665417702459841,2014]
["Cuba","LAC",12.462828668888443,2011]
["Cyprus","ECA",49.130883883751423,2014]
["Czech Republic","ECA",31.218051013734467,2016]
["Denmark","ECA",35.934603010695014,2014]
["Djibouti","MENA",5.2309110526351565,2007]
["Dominican Republic","LAC",17.577237803693809,2015]
["Ecuador","LAC",10.252029605318368,2014]
["Egypt, Arab Rep.","MENA",28.175533950363857,2014]
["El Salvador","LAC",31.576320464565217,2015]
["Estonia","ECA",33.231011550577527,2016]
["Ethiopia","SSA",""]
["Fiji","EAP",4.6057699115044244,2016]
["Finland","ECA",39.386607933785207,2014]
["France","ECA",40.126462739813626,2014]
["Gambia, The","SSA","",""]
["Georgia","ECA",30.088545069550733,2014]
["Germany","ECA",36.472426835380936,2014]
["Ghana","SSA",5.8352529018816011,2010]
["Greece","ECA",42.042255859948909,2014]
["Guatemala","LAC",15.508940996136117,2011]
["Guinea","SSA",2.2498018684909629,2010]
["Guinea-Bissau","SSA",""]
["Guyana","LAC",12.022455470191639,2010]
["Haiti","LAC",1.5017986394557823,2017]
["Honduras","LAC",4.9640342671842186,2010]
["Hong Kong SAR, China","EAP","",""]
["Hungary","ECA",30.480568697163729,2016]
["Iceland","ECA",21.122816303394519,2014]
["India","SA",4.8246805043647996,2014]
["Indonesia","EAP",""]
["Ireland","ECA",48.53385169110252,2015]
["Israel","MENA",28.575139027731911,2014]
["Italy","ECA",43.701532570614965,2015]
["Jamaica","LAC",4.998062097494989,2011]
["Japan","EAP",38.542778032845135,2013]
["Jordan","MENA",29.727266976302079,2015]
["Kazakhstan","ECA",17.004644468521001,2015]
["Kenya","SSA",""]
["Kiribati","EAP",2.5084869199734818,2015]
["Korea, Rep.","EAP",27.39925305537411,2015]
["Kosovo","ECA",""]
["Kuwait","MENA",29.282687545169843,2011]
["Kyrgyz Republic","ECA",15.495300273424304,2014]
["Lao PDR","EAP",0.93249080970407083,2013]
["Latvia","ECA",27.823922316760992,2015]
["Lebanon","MENA",""]
["Lesotho","SSA",12.986499215070642,2011]
["Liberia","SSA",""]
["Lithuania","ECA",30.132262375755044,2014]
["Luxembourg","ECA",41.439357633639482,2015]
["Madagascar","SSA",""]
["Malawi","SSA",""]
["Malaysia","EAP",5.4052417275087947,2012]
["Maldives","SA",""]
["Mali","SSA",15.626619217532939,2010]
["Malta","MENA",27.712114301270386,2014]
["Mauritania","SSA",14.891830872216577,2010]
["Mauritius","SSA",31.09805892341581,2014]
["Mexico","LAC",29.430495978287784,2015]
["Moldova","ECA",31.616837120941643,2014]
["Mongolia","EAP",""]
["Montenegro","ECA",""]
["Morocco","MENA",14.515769300188694,2010]
["Mozambique","SSA",""]
["Myanmar","EAP",""]
["Namibia","SSA",""]
["Nepal","SA",""]
["Netherlands","ECA",28.545350559412004,2014]
["New Zealand","EAP",30.277723597127583,2014]
["Nicaragua","LAC",12.010092500694748,2005]
["Niger","SSA",3.6369176639786325,2010]
["Nigeria","SSA",""]
["Norway","ECA",31.384902760349103,2014]
["Occupied Palestinian Territory","MENA",""]
["Oman","MENA",7.9297615543126296,2013]
["Pakistan","SA",""]
["Panama","LAC",17.794276570658582,2015]
["Papua New Guinea","EAP",0.47104112634309009,2015]
["Paraguay","LAC",14.889758233318046,2010]
["Peru","LAC",13.796781952350216,2015]
["Philippines","EAP",4.5877837063818481,2014]
["Poland","ECA",41.048548839215123,2016]
["Portugal","ECA",35.466533181544229,2014]
["Qatar","MENA",""]
["Romania","ECA",36.988009134941144,2016]
["Russian Federation","ECA",30.576525226692226,2014]
["Rwanda","SSA",17.328323116674362,2010]
["Samoa","EAP",""]
["Sao Tome and Principe","SSA",0.39390512821820811,2014]
["Saudi Arabia","MENA",11.083115325994921,2011]
["Senegal","SSA",10.983172897431144,2010]
["Serbia","ECA",36.970377604021593,2014]
["Seychelles","SSA",13.626855409504548,2015]
["Sierra Leone","SSA",8.2061250386517344,2005]
["Singapore","EAP",8.7934707806057162,2014]
["Slovak Republic","ECA",36.380043937774609,2016]
["Slovenia","ECA",35.051115262681158,2014]
["Solomon Islands","EAP",""]
["South Africa","SSA",18.334567967032285,2014]
["South Sudan","SSA",""]
["Spain","ECA",43.860908333046858,2014]
["Sri Lanka","SA",31.415431795568033,2014]
["St. Lucia","LAC",6.9172238232468777,2010]
["St. Vincent and the Grenadines","LAC",13.366241721854305,2010]
["Sudan","SSA",""]
["Eswatini","SSA",""]
["Sweden","ECA",34.147157864747321,2014]
["Switzerland","ECA",35.450380246587862,2014]
["Tajikistan","ECA",""]
["Tanzania","SSA",23.361155493192349,2010]
["Thailand","EAP",""]
["Timor-Leste","EAP",""]
["Togo","SSA",1.6357920525219043E-2,2014]
["Tonga","EAP",""]
["Turkmenistan","Centr Asia","",""]
["Trinidad and Tobago","LAC",19.159917115054384,2010]
["Tunisia","MENA",30,2011]
["Turkey","ECA",27.970619295546349,2014]
["Uganda","SSA",""]
["Ukraine","ECA",44.847651061533035,2016]
["United Kingdom","ECA",34.355909222670014,2014]
["United States","NA",30.063563420311841,2014]
["Uruguay","LAC",33.634064296938043,2015]
["Uzbekistan","ECA",26.59815026969795,2014]
["Vanuatu","EAP",2.3199999999999998,2010,null,"The CRII2 says 2.32 and I will amend it  from 2.78 to 2.32 to be in line with the published version"]
["Venezuela, RB","LAC",18.006678108804053,2015]
["Vietnam","EAP",21.010491345162709,2015]
["Yemen, Rep.","MENA",26.395711754243646,2012]
["Zambia","SSA",16.950613014775229,2011]
["Zimbabwe","SSA",14.064466019417473,2011]

{"sheet":"PS_Source_ILO 2018 S2","index":27,"n_rows":199,"n_cols":4,"rows_kept":199,"cut":false,"hidden":false,"merged":[]}
["Country Name","Region","ILO","Year "]
[1,2,3,4]
["Afghanistan","SA",0,2013]
["Albania","ECA",9.0457395226423891,2014]
["Algeria","MENA",4.7533486767256603,2011]
["Angola","SSA",6.9378994811285501,2014]
["Antigua and Barbuda","LAC",3.0186629999999997,2011]
["Argentina","LAC",0,""]
["Armenia","ECA",5.1454543299999997,2014]
["Australia","EAP",12.380407349999999,2014]
["Austria","ECA",19.128974279999998,2014]
["Azerbaijan","ECA",6.227771231854291,2014]
["Bahamas, The","LAC",1.1977542524859004,2014]
["Bahrain","MENA",4.008,2010]
["Bangladesh","SA",0.84,2014]
["Barbados","LAC",7.3966012900534039,2010]
["Belarus","ECA",14.97706717534232,2014]
["Belgium","ECA",20.92401053,2014]
["Belize","LAC",0.74,2015]
["Benin","SSA",1.5144296399999995,2010]
["Bhutan","SA",5.0138236267780467E-2,2014]
["Bolivia","LAC",5.8798572470000003,2014]
["Bosnia and Herzegovina","EAC",0,0]
["Botswana","SSA",3.049931015883363,2010]
["Brazil","LAC",13.239977724000001,2015]
["Brunei Darussalam","EAP",0.24524203,2011]
["Bulgaria","ECA",13.89236854,2014]
["Burkina Faso","SSA",0,0]
["Burundi","SSA",2.1093500000000001,2010]
["Cabo Verde","SSA",3.44,2010]
["Cambodia","EAP",0,0]
["Cameroon","SSA",0.82423794038567477,2010]
["Canada","NA",9.801068110000001,2014]
["Central African Republic","SSA",0.27,2017]
["Chad","SSA",0.12086283000000009,2010]
["Chile","LAC",11.18,2015]
["China","EAP",5.7013829960912918,2014]
["Cook Islands","EAP","",""]
["Colombia","LAC",9.1497577089999993,2015]
["Comoros","SSA",0,0]
["Congo, Dem. Rep.","SSA",1.8,2012]
["Congo, Rep.","SSA",18,2013]
["Costa Rica","LAC",6.982270658,2015]
["Cote d'Ivoire","SSA",0.33,2015]
["Croatia","ECA",15.211712410000001,2014]
["Cuba","LAC",7.8856137539999995,2011]
["Cyprus","ECA",19.667980780000001,2014]
["Czech Republic","ECA",12.3,2016]
["Denmark","ECA",19.84226589,2014]
["Djibouti","MENA",1.9523994100000008,2007]
["Dominica",null,3.9428174300000007,2010]
["Dominican Republic","LAC",3.1165127539999999,2015]
["Ecuador","LAC",4.4692262044850706,2014]
["Egypt, Arab Rep.","MENA",10.051244740211279,2014]
["El Salvador","LAC",6.6905146999999996,2015]
["Equatorial Guinea","SSA",0,0]
["Eritrea","SSA",0,0]
["Estonia","ECA",13.5,2016]
["Ethiopia","SSA",0,0]
["Fiji","EAP",1.33,2016]
["Finland","ECA",22.887185729999999,2014]
["France","ECA",22.913485629999997,2014]
["Gabon","SSA",0,0]
["Gambia, The","SSA",0,0]
["Georgia","ECA",9.0090161703958405,2014]
["Germany","ECA",16.15376268,2014]
["Ghana","SSA",1.5621677439857655,2010]
["Greece","ECA",21.091960810000003,2014]
["Grenada","LAC",1.1737884009341197,2010]
["Guatemala","LAC",2.2368520199999993,2011]
["Guinea","SSA",0.46090655361763044,2010]
["Guinea-Bissau","SSA",0,0]
["Guyana","LAC",3.7178067447162721,2010]
["Haiti","LAC",0.28000000000000003,2017]
["Honduras","LAC",1.3136480757377802,2010]
["Hong Kong SAR, China","EAP","",""]
["Hungary","ECA",14.3,2016]
["Iceland","ECA",9.4972940599999998,2014]
["India","SA",1.2696489699999998,2014]
["Indonesia","EAP",1.8952910000000001,2017]
["Iran, Islamic Republic of","MENA",10.11,2010]
["Iraq","MENA",0,0]
["Ireland","ECA",14.02,2015]
["Israel","MENA",11.48930419,2014]
["Italy","ECA",21.979348970000004,2015]
["Jamaica","LAC",1.6247771899999996,2011]
["Japan","EAP",15.218999999999998,2013]
["Jordan","MENA",8.9336926885647099,2015]
["Kazakhstan","ECA",3.8884279596263909,2015]
["Kenya","SSA",0,0]
["Kiribati","EAP",2.7649100273485487,2015]
["Korea, Rep.","EAP",5.7327519599999999,2015]
["Kosovo","ECA",0,0]
["Kuwait","MENA",11.436999999999999,2011]
["Kyrgyz Republic","ECA",5.4084318965103115,2014]
["Lao PDR","EAP",0.23544715999999988,2013]
["Latvia","ECA",10.51176802,2015]
["Lebanon","MENA",0,0]
["Lesotho","SSA",7.2,2011]
["Liberia","SSA",0,0]
["Libya","MENA",4.4142103500000003,2010]
["Lithuania","ECA",10.25311039,2014]
["Luxembourg","ECA",17.181163940000001,2015]
["Macao SAR","EAP",0,0]
["Macedonia, FYR","ECA",0,0]
["Madagascar","SSA",0,0]
["Malawi","SSA",0,0]
["Malaysia","EAP",1.55659671,2012]
["Maldives","SA",0,0]
["Mali","SSA",3.1661390700000003,2010]
["Malta","MENA",11.456569609999999,2014]
["Marshall Islands","EAP",0,0]
["Mauritania","SSA",3.3473212200000004,2010]
["Mauritius","SSA",7.4248086124135311,2014]
["Mexico","LAC",8.1077852280000009,2015]
["Micronesia","EAP",0,0]
["Moldova","ECA",12.576757377551191,2014]
["Mongolia","EAP",0,0]
["Montenegro","ECA",0,0]
["Morocco","MENA",4.51,2010]
["Mozambique","SSA",0,0]
["Myanmar","EAP",0.49520800000000009,2016]
["Namibia","SSA",4.9197209302325584,2017]
["Nauru","EAP",0,0]
["Nepal","SA",0,0]
["Netherlands","ECA",13.18,2014]
["New Zealand","EAP",10.29,2014]
["Nicaragua","LAC",2.86,2005]
["Niger","SSA",0.75,2010]
["Nigeria","SSA",1.1627850000000002,2010]
["Norway","ECA",14.14,2014]
["Occupied Palestinian Territory","MENA",0,0]
["Oman","MENA",3.55,2013]
["Pakistan","SA",1.2383360000000001,2010]
["Palau","EAP",1.76,2014]
["Panama","LAC",3.89,2015]
["Papua New Guinea","EAP",0.1,2015]
["Paraguay","LAC",2.99,2010]
["Peru","LAC",3.07,2015]
["Philippines","EAP",0.83,2014]
["Poland","ECA",16.899999999999999,2016]
["Portugal","ECA",18.36,2014]
["Puerto Rico","ECA",0,0]
["Qatar","MENA",0.199514,2010]
["Romania","ECA",11.6,2016]
["Russian Federation","ECA",10.66,2014]
["Rwanda","SSA",4.38,2010]
["Samoa","EAP",0,0]
["San Marino","ECA",16.75,2010]
["Sao Tome and Principe","SSA",0.12,2014]
["Saudi Arabia","MENA",3.64,2011]
["Senegal","SSA",2.97,2010]
["Serbia","ECA",16.98,2014]
["Seychelles","SSA",4.41,2015]
["Sierra Leone","SSA",1.48,2005]
["Singapore","EAP",1.41,2014]
["Slovak Republic","ECA",15.1,2016]
["Slovenia","ECA",16.46,2014]
["Solomon Islands","EAP",0,0]
["Somalia","SSA",0,0]
["South Africa","SSA",5.84,2014]
["South Sudan","SSA",0,0]
["Spain","ECA",19.670000000000002,2014]
["Sri Lanka","SA",5.61,2014]
["St Kitts and Nevis","LAC",3.08,2010]
["St. Lucia","LAC",1.93,2010]
["St. Vincent and the Grenadines","LAC",4.3899999999999997,2010]
["Sudan","SSA",0.24738000000000002,2010]
["Swaziland","SSA",0,0]
["Sweden","ECA",17.11,2014]
["Switzerland","ECA",11.58,2014]
["Syrian Arab Republic","MENA",0.41,2010]
["Taipei, China","EAP","",""]
["Taiwan, China","EAP",0,0]
["Tajikistan","ECA",0,0]
["Tanzania","SSA",4.7300000000000004,2010]
["Thailand","EAP",0,0]
["Timor-Leste","EAP",0,0]
["Togo","SSA",0.45,2014]
["Tonga","EAP",1.0343819999999999,2010]
["Turkmenistan","Centr Asia","",""]
["Trinidad and Tobago","LAC",5.94,2010]
["Tunisia","MENA",8.91,2011]
["Turkey","ECA",9.31,2014]
["Tuvalu","EAP",0,0]
["Uganda","SSA",1.150055,2011]
["Ukraine","ECA",18.2,2016]
["United Arab Emirates","MENA",0,0]
["United Kingdom","ECA",14,2014]
["United States","NA",10.68,2014]
["Uruguay","LAC",10.88,2015]
["Uzbekistan","ECA",8.51,2014]
["Vanuatu","EAP",0.62686220000000004,2010]
["Venezuela, RB","LAC",8.68,2015]
["Vietnam","EAP",6.3,2015]
["Western Samoa","EAP",0,0]
["Yemen, Rep.","MENA",9.56,2012]
["Zambia","SSA",3.31,2011]
["Zimbabwe","SSA",3.48,2011]

{"sheet":"PS_Source_IMF COFOG % GOV EXP","index":28,"n_rows":85,"n_cols":19,"rows_kept":85,"cut":false,"hidden":false,"merged":[[2,1,2,3],[2,7,2,9],[2,14,2,16],[0,1,0,3],[0,6,0,10],[0,13,0,17]]}
["IMF COFOG","Password cidade onde nasci. Primeira letra em capital mais 1#",null,null,null,null,"% Total Expenditure",null,null,null,null,null,null,"% Total Expenditure"]
[1,2,3,4,5,6,1,2,3,4,5,6,null,1,2,3,4,5,6]
["http://data.imf.org/?sk=5804C5E1-0502-4672-BDCD-671BCDC565A9","Expenditure on education",null,null,null,null,null,"Expenditure on health",null,null,null,null,null,null,"Expenditure on social protection"]
["% Total Expenditure",2017,2018,2019,"Latest data","Year","% Total Expenditure",2017,2018,2019,"Latest data","Year",null,"% Total Expenditure",2017,2018,2019,"Latest data","Year"]
["Afghanistan",8.2024720625444605,null,null,{"$f":"LOOKUP(1E+300,1/B5:D5,B5:D5)","v":8.2024720625444605},{"$f":"LOOKUP(1E+300,1/B5:D5,$B$4:$D$4)","v":2017},"Afghanistan",4.4645240419107397,null,null,{"$f":"LOOKUP(1E+300,1/H5:J5,H5:J5)","v":4.4645240419107397},{"$f":"LOOKUP(1E+300,1/H5:J5,$H$4:$J$4)","v":2017},null,"Afghanistan",4.1065469996156798,null,null,{"$f":"LOOKUP(1E+300,1/O5:Q5,O5:Q5)","v":4.1065469996156798},{"$f":"LOOKUP(1E+300,1/O5:Q5,$O$4:$Q$4)","v":2017}]
["Albania",10.570190581221,10.970696745127499,null,{"$f":"LOOKUP(1E+300,1/B6:D6,B6:D6)","v":10.970696745127499},{"$f":"LOOKUP(1E+300,1/B6:D6,$B$4:$D$4)","v":2018},"Albania",10.0049680967446,10.417648429522799,null,{"$f":"LOOKUP(1E+300,1/H6:J6,H6:J6)","v":10.417648429522799},{"$f":"LOOKUP(1E+300,1/H6:J6,$H$4:$J$4)","v":2018},null,"Albania",31.782236318596201,32.132481505974098,null,{"$f":"LOOKUP(1E+300,1/O6:Q6,O6:Q6)","v":32.132481505974098},{"$f":"LOOKUP(1E+300,1/O6:Q6,$O$4:$Q$4)","v":2018}]
["Armenia",8.8911259879733393,8.9885770256581203,null,8.9885770256581203,2018,"Armenia",5.5256643473537101,5.4429107493794397,null,5.4429107493794397,2018,null,"Armenia",26.660281934077801,27.5686931833899,null,27.5686931833899,2018]
["Australia",14.7477643483156,15.1410079619505,null,15.1410079619505,2018,"Australia",19.790631642738699,19.272147361855701,null,19.272147361855701,2018,null,"Australia",27.0859160865406,26.3410942767661,null,26.3410942767661,2018]
["Austria",9.8596487249230407,9.8320742830675201,null,9.8320742830675201,2018,"Austria",16.649400240313401,16.807137879409801,null,16.807137879409801,2018,null,"Austria",41.775518548765902,41.426393513149101,null,41.426393513149101,2018]
["Azerbaijan",7.8206281317225104,8.4444454885153508,null,8.4444454885153508,2018,"Azerbaijan",3.1079120145790302,3.0291794051903298,null,3.0291794051903298,2018,null,"Azerbaijan",19.7577991636539,19.834077625380498,null,19.834077625380498,2018]
["Belarus",12.978702765836299,13.2640408438285,null,13.2640408438285,2018,"Belarus",11.9883210127784,11.619055822544,null,11.619055822544,2018,null,"Belarus",33.462152772788599,32.545578502998602,null,32.545578502998602,2018]
["Belgium",12.0170318369714,11.93952574991,null,11.93952574991,2018,"Belgium",14.590445931597401,14.5630164698795,null,14.5630164698795,2018,null,"Belgium",37.105036420673798,36.988327942389397,null,36.988327942389397,2018]
["Bulgaria",10.134524673493001,9.6591963863032007,null,9.6591963863032007,2018,"Bulgaria",13.9327729837512,13.5736812021722,null,13.5736812021722,2018,null,"Bulgaria",35.204935652233502,32.757780648879503,null,32.757780648879503,2018]
["China",12.155295567827901,23.133631974960601,null,23.133631974960601,2018,"China",9.7039220949881795,28.7011578297267,null,28.7011578297267,2018,null,"China",23.5175977583589,12.702445526649599,null,12.702445526649599,2018]
["Croatia",11.720028910255399,11.530854502666299,null,11.530854502666299,2018,"Croatia",14.392770255635501,14.257607054567,null,14.257607054567,2018,null,"Croatia",32.242016036525101,31.9153585579921,null,31.9153585579921,2018]
["Cyprus",14.414170779528099,12.0195803892199,null,12.0195803892199,2018,"Cyprus",6.8460550334662997,6.1747690838244704,null,6.1747690838244704,2018,null,"Cyprus",34.607531607058299,28.671594325594501,null,28.671594325594501,2018]
["Czech Republica",10.578369323360301,11.4234345297559,null,11.4234345297559,2018,"Czech Republica",19.222034959800801,18.713698621275402,null,18.713698621275402,2018,null,"Czech Republica",30.7261821718254,29.5739621675521,null,29.5739621675521,2018]
["Denmark",12.6482695751729,12.607874841585501,null,12.607874841585501,2018,"Denmark",16.3770362953153,16.3344841148451,null,16.3344841148451,2018,null,"Denmark",43.738313396571101,43.050211947734098,null,43.050211947734098,2018]
["El Salvador",8.5976206722639201,null,null,8.5976206722639201,2017,"El Salvador",14.1498798469161,null,null,14.1498798469161,2017,null,"El Salvador",18.149049158928399,null,null,18.149049158928399,2017]
["Estonia",14.4912344503749,15.8346188235063,null,15.8346188235063,2018,"Estonia",12.6985485233873,13.143441052497099,null,13.143441052497099,2018,null,"Estonia",32.824549956680301,33.3415211688299,null,33.3415211688299,2018]
["Finland",10.545763466756799,10.3577518257568,null,10.3577518257568,2018,"Finland",13.0877658916391,13.198532960139,null,13.198532960139,2018,null,"Finland",45.813778939815101,45.507190425634597,null,45.507190425634597,2018]
["France",9.5734978126111105,9.1431323546700103,null,9.1431323546700103,2018,"France",14.435452704478299,14.5016363726,null,14.5016363726,2018,null,"France",42.889440244863898,42.6404189720622,null,42.6404189720622,2018]
["Georgia",12.957528545512799,12.9298917294471,null,12.9298917294471,2018,"Georgia",10.1047558069221,10.0284055823144,null,10.0284055823144,2018,null,"Georgia",24.560701454842999,24.0179490346219,null,24.0179490346219,2018]
["Germany",9.2653122188606094,9.3632407844022296,null,9.3632407844022296,2018,"Germany",16.212177525521799,16.266660218199998,null,16.266660218199998,2018,null,"Germany",44.108707809552897,43.6624335169803,null,43.6624335169803,2018]
["Greece",8.0507729632798508,8.2980075079410902,null,8.2980075079410902,2018,"Greece",10.994948488648699,10.6497256713832,null,10.6497256713832,2018,null,"Greece",41.1340701585776,40.594859948021899,null,40.594859948021899,2018]
["Hong Kong SAR, China",17.836482838411101,null,null,17.836482838411101,2017,"Hong Kong SAR, China",14.847666795217901,null,null,{"$f":"LOOKUP(1E+300,1/H26:J26,H26:J26)","v":14.847666795217901},{"$f":"LOOKUP(1E+300,1/H26:J26,$H$4:$J$4)","v":2017},null,"Hong Kong SAR, China",14.423447743925999,null,null,14.423447743925999,2017]
["Hungary",10.902699819762599,10.973420300041001,null,10.973420300041001,2018,"Hungary",10.093515967645599,10.1327161104831,null,10.1327161104831,2018,null,"Hungary",29.5132919829481,28.5386214643983,null,28.5386214643983,2018]
["Iceland",17.388342359521801,17.398252801058302,null,17.398252801058302,2018,"Iceland",17.474523704814299,18.524950264833201,null,18.524950264833201,2018,null,"Iceland",22.510892303160901,23.581796805126501,null,23.581796805126501,2018]
["Indonesia",16.110480105335501,16.7957096869244,null,16.7957096869244,2018,"Indonesia",8.3701820828986992,8.5381361334280008,null,8.5381361334280008,2018,null,"Indonesia",7.2018282250572598,7.7727929085691096,null,7.7727929085691096,2018]
["Ireland",12.342918969349901,12.5971403413057,null,12.5971403413057,2018,"Ireland",19.455522379399,19.794962595025801,null,19.794962595025801,2018,null,"Ireland",36.449987937742101,35.428784203584698,null,35.428784203584698,2018]
["Israel",18.415159884485099,18.011797880493798,null,18.011797880493798,2018,"Israel",13.5509711335789,13.474008709356401,null,13.474008709356401,2018,null,"Israel",28.518812847478401,28.1095956108976,null,28.1095956108976,2018]
["Italy",8.0004946897774403,8.17189440067032,null,8.17189440067032,2018,"Italy",14.0530951248204,14.1496969618953,null,14.1496969618953,2018,null,"Italy",42.523438591009899,42.931704959432999,null,42.931704959432999,2018]
["Japan",8.1712209034430501,8.1531786902861398,null,8.1531786902861398,2018,"Japan",19.803875036587801,19.881870992686899,null,19.881870992686899,2018,null,"Japan",42.007289389130499,41.855764007657001,null,41.855764007657001,2018]
["Kazakhstan",14.341882473017799,17.904520271817201,null,17.904520271817201,2018,"Kazakhstan",11.154162686813301,10.771146010460599,null,10.771146010460599,2018,null,"Kazakhstan",20.045887107927602,26.735213948694501,null,26.735213948694501,2018]
["Kiribati",12.5488841308708,null,null,12.5488841308708,2017,"Kiribati",12.782306827673301,null,null,12.782306827673301,2017,null,"Kiribati",1.5420441651511301,null,null,1.5420441651511301,2017]
["Kyrgyz Republica.",19.6762938916122,20.143924322613,null,20.143924322613,2018,"Kyrgyz Republica.",9.3050309988766706,9.5026159482636707,null,9.5026159482636707,2018,null,"Kyrgyz Republica.",27.324507887405701,30.667701684103999,null,30.667701684103999,2018]
["Latvia",15.2788481967459,15.126910644070501,null,15.126910644070501,2018,"Latvia",9.3113423314398602,10.450210749871299,null,10.450210749871299,2018,null,"Latvia",30.981636378848599,30.208596568112799,null,30.208596568112799,2018]
["Lithuania",13.704753432193099,13.4208778328916,null,13.4208778328916,2018,"Lithuania",17.021707020902799,17.380727420115999,null,17.380727420115999,2018,null,"Lithuania",33.844189745675202,35.416477170435499,null,35.416477170435499,2018]
["Luxembourg",10.880758242928501,10.961670887211699,null,10.961670887211699,2018,"Luxembourg",11.3774870006899,11.3059696974329,null,11.3059696974329,2018,null,"Luxembourg",43.264494762181997,42.8801155457327,null,42.8801155457327,2018]
["Macao",13.936901123692101,14.4566868099144,null,14.4566868099144,2018,"Macao",9.7632076340843597,9.1806287713271395,null,9.1806287713271395,2018,null,"Macao",24.267587241222799,22.437253662005801,null,22.437253662005801,2018]
["Malta",13.755519413662901,14.2330653216416,null,14.2330653216416,2018,"Malta",15.1424474199169,14.598495676311,null,14.598495676311,2018,null,"Malta",31.5475320005771,29.795498065790699,null,29.795498065790699,2018]
["Mauritius",15.8099762924654,15.4155522566858,null,15.4155522566858,2018,"Mauritius",10.007442724633799,9.7606219514464208,null,9.7606219514464208,2018,null,"Mauritius",23.093540906295601,27.344540258843299,null,27.344540258843299,2018]
["Moldova",17.7565551039573,17.551238154033999,null,17.551238154033999,2018,"Moldova",13.3315848165158,13.0836167082432,null,13.0836167082432,2018,null,"Moldova",34.963978108080397,35.234671332636601,null,35.234671332636601,2018]
["Mongolia",2.8218980097998601,20.4833494260231,null,20.4833494260231,2018,"Mongolia",6.1502167285412703,11.134446068289,null,11.134446068289,2018,null,"Mongolia",48.498213890547397,21.265492042184999,null,21.265492042184999,2018]
["Myanmar",8.5843999602788799,null,10.1,10.1,2019,"Myanmar",5.2481710329625102,null,4.8131873529263096,4.8131873529263096,2019,null,"Myanmar",3.71384121631483,null,4.1574030878332398,4.1574030878332398,2019]
["Netherlands",12.0648171194802,12.112108422262001,null,12.112108422262001,2018,"Netherlands",17.870978447478102,17.966959716411399,null,17.966959716411399,2018,null,"Netherlands",37.423972633339098,36.767606023185898,null,36.767606023185898,2018]
["New Zealand",16.244690841299501,15.8044005494051,15.9,15.9,2019,"New Zealand",17.993184854524898,18.196266252582401,18.607535874927599,18.607535874927599,2019,null,"New Zealand",30.219829039095899,29.162027345373801,29.299794903791199,29.299794903791199,2019]
["Norway",11.053238444604,11.048551150881099,null,11.048551150881099,2018,"Norway",16.661496601583998,16.7518840482856,null,16.7518840482856,2018,null,"Norway",39.444771080339201,38.897495444350803,null,38.897495444350803,2018]
["Poland",11.886276789468599,12.034187478952701,null,12.034187478952701,2018,"Poland",11.360981772292901,11.566282994448899,null,11.566282994448899,2018,null,"Poland",39.860682605732102,38.981711388826,null,38.981711388826,2018]
["Portugal",10.1061522007024,10.4616802985636,null,10.4616802985636,2018,"Portugal",13.7748474835503,14.5108000198989,null,14.5108000198989,2018,null,"Portugal",37.929695835411202,39.333311143107302,null,39.333311143107302,2018]
["Romania",8.4471405218282101,9.0428006651158892,null,9.0428006651158892,2018,"Romania",12.855132318076301,13.3054787930787,null,13.3054787930787,2018,null,"Romania",34.657628862013603,33.300166623855603,null,33.300166623855603,2018]
["Russian Federation",9.5012486827699796,10.049872044554601,null,10.049872044554601,2018,"Russian Federation",8.2501584755622499,9.2488950832678292,null,9.2488950832678292,2018,null,"Russian Federation",35.929741686962402,33.6386674005659,null,33.6386674005659,2018]
["Seychelles",null,11.8271756962087,null,11.8271756962087,2018,"Seychelles",null,11.181446609190999,null,11.181446609190999,2018,null,"Seychelles",null,16.864459311464401,null,16.864459311464401,2018]
["Singapore",17.263962370258401,16.0864109018463,null,16.0864109018463,2018,"Singapore",13.469917198134601,12.617657053465599,null,12.617657053465599,2018,null,"Singapore",6.1638702536950696,5.6937284655070304,null,5.6937284655070304,2018]
["Slovak Republica",9.3910723315830396,9.4803945317525304,null,9.4803945317525304,2018,"Slovak Republica",17.387192731887399,17.4860456856062,null,17.4860456856062,2018,null,"Slovak Republica",35.105032776415001,34.309888589094001,null,34.309888589094001,2018]
["Slovenia",12.321114624965,12.4040018348937,null,12.4040018348937,2018,"Slovenia",15.0643316843445,15.0639954308336,null,15.0639954308336,2018,null,"Slovenia",38.714475024945997,38.269980316047402,null,38.269980316047402,2018]
["Somalia",null,3.0024838343370699,null,3.0024838343370699,2018,"Somalia",null,0.59765710716645304,null,0.59765710716645304,2018,null,"Somalia",null,0.39527098626957202,null,0.39527098626957202,2018]
["South Africa",13.3083433593964,13.4023931622548,null,13.4023931622548,2018,"South Africa",10.286798110107901,10.320143672478601,null,10.320143672478601,2018,null,"South Africa",12.871978463573299,13.1148562028893,null,13.1148562028893,2018]
["Spain",9.7871410352444901,9.6720040014823301,null,9.6720040014823301,2018,"Spain",14.4332850222068,14.319879631523399,null,14.319879631523399,2018,null,"Spain",41.105695266429102,41.131836287531598,null,41.131836287531598,2018]
["Sweden",13.617277229963101,13.834009507162,null,13.834009507162,2018,"Sweden",13.914639327631299,14.048415209796699,null,14.048415209796699,2018,null,"Sweden",40.598054580531802,39.254114187348797,null,39.254114187348797,2018]
["Switzerland",15.5533013590767,15.557887896304999,null,15.557887896304999,2018,"Switzerland",6.5290426864092099,6.6772530143079303,null,6.6772530143079303,2018,null,"Switzerland",39.545872636638997,39.367930780110001,null,39.367930780110001,2018]
["Thailand",15.838582015814801,14.490651172415401,null,14.490651172415401,2018,"Thailand",5.62914360238487,5.8596769320597701,null,5.8596769320597701,2018,null,"Thailand",13.3450310772538,14.192135319114101,null,14.192135319114101,2018]
["Turkey",10.8503539312442,10.7390401950066,null,10.7390401950066,2018,"Turkey",15.5029039063414,14.853529268785699,null,14.853529268785699,2018,null,"Turkey",29.5669171885875,28.547391191064499,null,28.547391191064499,2018]
["Ukraine",14.396145000976,14.229607957705801,null,14.229607957705801,2018,"Ukraine",8.2851327976200402,7.9056855354845297,null,7.9056855354845297,2018,null,"Ukraine",38.017394403030202,37.213763102457001,null,37.213763102457001,2018]
["United Arab Emirates",5.5010595725778204,5.3647429370523501,null,5.3647429370523501,2018,"United Arab Emirates",8.0226296003018795,5.6420920955268201,null,5.6420920955268201,2018,null,"United Arab Emirates",4.1904321946356697,7.9866248147973504,null,7.9866248147973504,2018]
["United Kingdom",12.017406763321301,11.827515868403401,null,11.827515868403401,2018,"United Kingdom",18.160383174244899,18.3350996547127,null,18.3350996547127,2018,null,"United Kingdom",36.708966291422399,36.5309448110036,null,36.5309448110036,2018]
["United States",15.937231690355899,15.716597301727701,null,15.716597301727701,2018,"United States",24.439414396332001,24.599951613696,null,24.599951613696,2018,null,"United States",20.1721650104557,19.933969798959001,null,19.933969798959001,2018]
["Uzbekistan",23.404371157264901,null,null,23.404371157264901,2017,"Uzbekistan",9.8475093728677798,null,null,9.8475093728677798,2017,null,"Uzbekistan",28.374417358540502,null,null,28.374417358540502,2017]
[]
[]
[]
[]
[]
[]
[2019]
["%Total Government","Expenditure on education"]
["New Zealand",15.8658422271756]
["Myanmar",10.1154218423563]
[]
[]
[]
[]
[null,"Expenditure on social protection",2019,"Expenditure on health"]
[null,10.7669901026521,2019,18.607535874927599]
[null,0.93815969530202203,2019,4.8131873529263096]

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["% GDP",2017,2018,2019,"Latest data","Year","% GDP",2017,2018,2019,"Latest data","Year","% GDP",2017,2018,2019,"Latest data","Year"]
[]
["Afghanistan",3.6842560904500701,null,null,{"$f":"LOOKUP(1E+300,1/B6:D6,B6:D6)","v":3.6842560904500701},{"$f":"LOOKUP(1E+300,1/B6:D6,$B$4:$D$4)","v":2017},"Afghanistan",2.0053039823786998,null,null,{"$f":"LOOKUP(1E+300,1/H6:J6,H6:J6)","v":2.0053039823786998},{"$f":"LOOKUP(1E+300,1/H6:J6,$H$4:$J$4)","v":2017},"Afghanistan",1.8445135416115399,null,null,{"$f":"LOOKUP(1E+300,1/N6:P6,N6:P6)","v":1.8445135416115399},{"$f":"LOOKUP(1E+300,1/N6:P6,$N$4:$P$4)","v":2017}]
["Albania",3.0891298877848201,3.1291542212471102,null,{"$f":"LOOKUP(1E+300,1/B7:D7,B7:D7)","v":3.1291542212471102},{"$f":"LOOKUP(1E+300,1/B7:D7,$B$4:$D$4)","v":2018},"Albania",2.9239440610367202,2.97140913800096,null,{"$f":"LOOKUP(1E+300,1/H7:J7,H7:J7)","v":2.97140913800096},{"$f":"LOOKUP(1E+300,1/H7:J7,$H$4:$J$4)","v":2018},"Albania",9.2883335790407795,9.1650961173655592,null,{"$f":"LOOKUP(1E+300,1/N7:P7,N7:P7)","v":9.1650961173655592},{"$f":"LOOKUP(1E+300,1/N7:P7,$N$4:$P$4)","v":2018}]
["Armenia",2.44857029412952,2.2312675261716,null,2.2312675261716,2018,"Armenia",1.5217394956007,1.35111374895867,null,1.35111374895867,2018,"Armenia",7.3421043032346702,6.8434780792883396,null,6.8434780792883396,2018]
["Australia",5.30150139722722,5.3971339760813404,null,5.3971339760813404,2018,"Australia",7.1143028073927503,6.8697118170802396,null,6.8697118170802396,2018,"Australia",9.7367993267653894,9.3894947579158092,null,9.3894947579158092,2018]
["Austria",4.8422150797339096,4.7727522313219097,null,4.7727522313219097,2018,"Austria",8.1767595541594993,8.1586349438219692,null,8.1586349438219692,2018,"Austria",20.516557082728799,20.109481110817601,null,20.109481110817601,2018]
["Azerbaijan",2.6185066919920699,2.5677059248871799,null,2.5677059248871799,2018,"Azerbaijan",1.0405926827395799,0.92108379606828805,null,0.92108379606828805,2018,"Azerbaijan",6.6153163732729796,6.03095593459929,null,6.03095593459929,2018]
["Belarus",5.37206997240615,5.4143729407664196,null,5.4143729407664196,2018,"Belarus",4.9621368556060501,4.7428911131638598,null,4.7428911131638598,2018,"Belarus",13.850461742289699,13.285084210986399,null,13.285084210986399,2018]
["Belgium",6.3420732054420199,6.3524348177382803,null,6.3524348177382803,2018,"Belgium",7.7002106221893296,7.74826528392519,null,7.74826528392519,2018,"Belgium",19.582444355894602,19.679671302934899,null,19.679671302934899,2018]
["Bulgaria",3.58654017102422,3.5878645742331901,null,3.5878645742331901,2018,"Bulgaria",4.93071472120275,5.0418821586717497,null,5.0418821586717497,2018,"Bulgaria",12.458790126122301,12.167728661907701,null,12.167728661907701,2018]
["China",3.72918085017566,2.6412546895979299,null,2.6412546895979299,2018,"China",2.9771123413902298,1.6773123132954499,null,1.6773123132954499,2018,"China",7.2150754963729602,4.0993141952711198,null,4.0993141952711198,2018]
["Costa Rica",null,6.8957954550669296,null,6.8957954550669296,2018,"Costa Rica",null,8.5553930282806299,null,8.5553930282806299,2018,"Costa Rica",null,3.7864121909484498,null,3.7864121909484498,2018]
["Croatia",5.3272517927371599,5.3217005371964703,null,5.3217005371964703,2018,"Croatia",6.5421264515564399,6.58014677957134,null,6.58014677957134,2018,"Croatia",14.655368092287,14.729522494938401,null,14.729522494938401,2018]
["Cyprus",5.4253229237706497,5.3417844859605701,null,5.3417844859605701,2018,"Cyprus",2.5767739177346001,2.7442127452257301,null,2.7442127452257301,2018,"Cyprus",13.0258644381788,12.742331495497099,null,12.742331495497099,2018]
["Czech Republic",4.1162078407978004,4.6394286977516996,null,4.6394286977516996,2018,"Czech Republic",7.4795924210072497,7.6002423087792996,null,7.6002423087792996,2018,"Czech Republic",11.9560348204286,12.0109489338752,null,12.0109489338752,2018]
["Denmark",6.4721608655748399,6.4887781333849102,null,6.4887781333849102,2018,"Denmark",8.3801829787605193,8.4067176012037201,null,8.4067176012037201,2018,"Denmark",22.3810378652264,22.156253725066001,null,22.156253725066001,2018]
["El Salvador",2.3250990036197599,3.9590212674771701,null,3.9590212674771701,2018,"El Salvador",3.8266251545081,4.0215765666821701,null,4.0215765666821701,2018,"El Salvador",4.90814118517733,4.3696603481480203,null,4.3696603481480203,2018]
["Estonia",5.6982261810528501,6.1899242045394303,null,6.1899242045394303,2018,"Estonia",4.9933083275361296,5.1379136314298801,null,5.1379136314298801,2018,"Estonia",12.9072309598575,13.033562171558801,null,13.033562171558801,2018]
["Finland",5.7101260282782098,5.5485661105749298,null,5.5485661105749298,2018,"Finland",7.0865227449334096,7.0703501999172804,null,7.0703501999172804,2018,"Finland",24.806402343715099,24.377843650903099,null,24.377843650903099,2018]
["France",5.3968017435686999,5.1230084697142901,null,5.1230084697142901,2018,"France",8.1375979657203299,8.1254435656944697,null,8.1254435656944697,2018,"France",24.177767669122801,23.891946334394301,null,23.891946334394301,2018]
["Georgia",3.85001558924712,3.7962787619696199,null,3.7962787619696199,2018,"Georgia",3.0023833052374602,2.9443883928164798,null,2.9443883928164798,2018,"Georgia",7.2976172232116001,7.0517860268349297,null,7.0517860268349297,2018]
["Germany",3.4741366488740799,4.1679897858191497,null,4.1679897858191497,2018,"Germany",7.1916092191347296,7.24100503233793,null,7.24100503233793,2018,"Germany",19.566316074934001,19.4360671815618,null,19.4360671815618,2018]
["Greece",4.1100280740464497,3.8892558225148099,null,3.8892558225148099,2018,"Greece",5.2053623944334104,4.9915003735504602,null,4.9915003735504602,2018,"Greece",19.474192367022201,19.0267115649057,null,19.0267115649057,2018]
["Hong Kong SAR, China",3.81149496720638,null,null,3.81149496720638,2017,"Hong Kong SAR, China",2.8919840212249102,null,null,2.8919840212249102,2017,"Hong Kong SAR, China",null,null,null,{"$error":"#N/A"},{"$error":"#N/A"}]
["Hungary",5.1810091040008599,5.1909635839185899,null,5.1909635839185899,2018,"Hungary",4.7964815123093798,4.7932694545115204,null,4.7932694545115204,2018,"Hungary",14.0248412760593,13.5001613632147,null,13.5001613632147,2018]
["Iceland",7.5371004598975997,7.3043282185364502,null,7.3043282185364502,2018,"Iceland",7.5744563759365304,7.7773508934285003,null,7.7773508934285003,2018,"Iceland",9.75750610511475,9.9003725153942099,null,9.9003725153942099,2018]
["Indonesia",2.67049206752601,2.7566064403319799,null,2.7566064403319799,2018,"Indonesia",1.3874511938801,1.4013269753145401,null,1.4013269753145401,2018,"Indonesia",1.19378348881924,1.2757145360644799,null,1.2757145360644799,2018]
["Ireland",3.2218100965182699,3.1951253090668899,null,3.1951253090668899,2018,"Ireland",5.0783772129297402,5.02077330773339,null,5.02077330773339,2018,"Ireland",9.5143571344349596,8.9861192311372697,null,8.9861192311372697,2018]
["Israel",7.1456736608763904,7.1516844021827497,null,7.1516844021827497,2018,"Israel",5.25821215324292,5.3499300048184102,null,5.3499300048184102,2018,"Israel",11.066215611594099,11.161071083294299,null,11.161071083294299,2018]
["Italy",3.9135559398234201,3.9744254491084399,null,3.9744254491084399,2018,"Italy",6.8742716583409704,6.8817477252172896,null,6.8817477252172896,2018,"Italy",20.800945708045099,20.879963983674301,null,20.879963983674301,2018]
["Japan",3.1393659591743699,3.1303919219429299,null,3.1303919219429299,2018,"Japan",7.6086073163693397,7.6335930699973904,null,7.6335930699973904,2018,"Japan",16.139112612884499,16.0704125977792,null,16.0704125977792,2018]
["Kazakhstan",3.3599673906648801,3.3748555874788102,null,3.3748555874788102,2018,"Kazakhstan",2.6131592535618999,2.0302729000883502,null,2.0302729000883502,2018,"Kazakhstan",4.6962821739964999,5.0393690982727204,null,5.0393690982727204,2018]
["Kiribati",10.962889152745401,null,null,10.962889152745401,2017,"Kiribati",11.166810642823201,null,null,11.166810642823201,2017,"Kiribati",1.34715239019555,null,null,1.34715239019555,2017]
["Kyrgyz Republic",7.0479908610380102,6.7343213669463697,null,6.7343213669463697,2018,"Kyrgyz Republic",3.33303485925848,3.1768223806539901,null,3.1768223806539901,2018,"Kyrgyz Republic",9.7875587208469401,10.252528525167101,null,10.252528525167101,2018]
["Latvia",5.7487026254079403,5.7439686347873398,null,5.7439686347873398,2018,"Latvia",3.50341448632371,3.9681389139234202,null,3.9681389139234202,2018,"Latvia",11.656913668953999,11.4707646042849,null,11.4707646042849,2018]
["Lithuania",4.5520886884661902,4.5821310598429701,null,4.5821310598429701,2018,"Lithuania",1.8142474920032501,5.93409551491456,null,5.93409551491456,2018,"Lithuania",11.2414830426422,12.091827531218,null,12.091827531218,2018]
["Luxembourg",4.6744624253833198,4.6901571619794398,null,4.6901571619794398,2018,"Luxembourg",5.6538280948727504,4.8374718868270703,null,4.8374718868270703,2018,"Luxembourg",18.586779579488301,18.347064339247002,null,18.347064339247002,2018]
["Macao",2.5898238424924198,null,null,2.5898238424924198,2017,"Macao",4.8878611483328003,null,null,4.8878611483328003,2017,"Macao",null,null,null,{"$error":"#N/A"},{"$error":"#N/A"}]
["Malta",4.9349330981591502,5.2321115197950903,null,5.2321115197950903,2018,"Malta",5.4325076874566296,5.36644466062888,null,5.36644466062888,2018,"Malta",11.31799935379,10.9529019325877,null,10.9529019325877,2018]
["Mauritius",3.9814659171739901,3.8400831436824299,null,3.8400831436824299,2018,"Mauritius",2.5201993595138399,2.43141466510551,null,2.43141466510551,2018,"Mauritius",5.8157042315805603,6.8116475083913199,null,6.8116475083913199,2018]
["Moldova",5.4121488363442101,5.4598958212647899,null,5.4598958212647899,2018,"Moldova",4.0634301433418196,4.0700937201942304,null,4.0700937201942304,2018,"Moldova",10.656923728941001,10.9609152975047,null,10.9609152975047,2018]
["Mongolia",0.90336346363877895,6.1730168465464299,null,6.1730168465464299,2018,"Mongolia",1.96884546030005,3.35556073994365,null,3.35556073994365,2018,"Mongolia",15.525548523834299,6.4087292510731597,null,6.4087292510731597,2018]
["Myanmar",2.1617711165595699,null,2.2999999999999998,2.2999999999999998,2019,"Myanmar",1.32162348053671,null,1.1000000000000001,1.1000000000000001,2019,"Myanmar",0.93524005289439405,null,0.9,0.9,2019]
["Netherlands",5.1220219306207699,5.0940585681083297,null,5.0940585681083297,2018,"Netherlands",7.5869814372766404,7.5564667930168898,null,7.5564667930168898,2018,"Netherlands",15.8880492477098,15.463561913547,null,15.463561913547,2018]
["New Zealand",5.7180079073808097,5.6470373516458396,5.8,5.8,2019,"New Zealand",6.3334645320284402,6.5016698904592802,6.8,6.8,2019,"New Zealand",10.637150506178701,10.419823083719701,10.8,10.8,2019]
["Norway",5.5793852061415699,5.4314246387565603,null,5.4314246387565603,2018,"Norway",8.4102870047499803,8.2351608390024005,null,8.2351608390024005,2018,"Norway",19.910687110230999,19.1218569980118,null,19.1218569980118,2018]
["Poland",4.89980958763626,5.0105306971274697,null,5.0105306971274697,2018,"Poland",4.6832703292054303,4.8157149036199796,null,4.8157149036199796,2018,"Poland",16.431533461709201,16.230348902398301,null,16.230348902398301,2018]
["Portugal",4.5831460806043296,4.5443002588082804,null,4.5443002588082804,2018,"Portugal",6.2469015903766003,6.3031396873211403,null,6.3031396873211403,2018,"Portugal",17.201139796261501,17.085436651314101,null,17.085436651314101,2018]
["Romania",2.8450499844407799,3.1878580864929602,null,3.1878580864929602,2018,"Romania",4.3296893081176702,4.6905798033128301,null,4.6905798033128301,2018,"Romania",11.6729070861113,11.7393061491377,null,11.7393061491377,2018]
["Russian Federation",3.4709021479609898,3.44863673733439,null,3.44863673733439,2018,"Russian Federation",3.0138662537879499,3.1737796483877898,null,3.1737796483877898,2018,"Russian Federation",13.125497685700401,11.5431861896611,null,11.5431861896611,2018]
["Seychelles",null,4.4988375762160198,null,4.4988375762160198,2018,"Seychelles",null,4.2532142460694899,null,4.2532142460694899,2018,"Seychelles",null,6.4149265388272898,null,6.4149265388272898,2018]
["Singapore",2.79654316073746,2.7109033673124299,null,2.7109033673124299,2018,"Singapore",2.1819559153487398,2.1263443537866902,null,2.1263443537866902,2018,"Singapore",0.99846888170586501,0.95951469621692498,null,0.95951469621692498,2018]
["Slovak Republic",3.8828979809265198,3.94351664822653,null,3.94351664822653,2018,"Slovak Republic",7.1890294493393103,7.2735909926409503,null,7.2735909926409503,2018,"Slovak Republic",14.514770632687,14.271728502092,null,14.271728502092,2018]
["Slovenia",5.42890774209007,5.4015753538426603,null,5.4015753538426603,2018,"Slovenia",6.6376191927345598,6.559923767561,null,6.559923767561,2018,"Slovenia",17.0583035375729,16.665442751361599,null,16.665442751361599,2018]
["Somalia",null,0.230991210620937,null,0.230991210620937,2018,"Somalia",null,4.5979777523454203E-2,null,4.5979777523454203E-2,2018,"Somalia",null,3.04095304685961E-2,null,3.04095304685961E-2,2018]
["South Africa",5.5909023121563699,5.6666226905750197,null,5.6666226905750197,2018,"South Africa",4.3215358805633004,4.3634267101759203,null,4.3634267101759203,2018,"South Africa",5.4075832138195601,5.5450501147973901,null,5.5450501147973901,2018]
["Spain",3.9544927245462,3.9529964047116199,null,3.9529964047116199,2018,"Spain",5.8317664378270404,5.8526064185498301,null,5.8526064185498301,2018,"Spain",16.608749407323401,16.810787189385,null,16.810787189385,2018]
["Sweden",6.7069447047270296,6.8865243649134698,null,6.8865243649134698,2018,"Sweden",6.8534050515835601,6.9932548174555498,null,6.9932548174555498,2018,"Sweden",19.995840768518601,19.540568743596999,null,19.540568743596999,2018]
["Switzerland",5.1198936432257103,5.0554221486854596,null,5.0554221486854596,2018,"Switzerland",2.1492545778383998,2.1697246442382601,null,2.1697246442382601,2018,"Switzerland",13.0178575759405,12.7923218460105,null,12.7923218460105,2018]
["Thailand",3.3632410902167602,3.0659150603459402,null,3.0659150603459402,2018,"Thailand",1.1953195713712099,1.23978360537466,null,1.23978360537466,2018,"Thailand",2.8337484267483299,3.0027554245574,null,3.0027554245574,2018]
["Turkey",3.6741810016749001,3.71256493217339,null,3.71256493217339,2018,"Turkey",5.2496421189957898,5.1349739716912204,null,5.1349739716912204,2018,"Turkey",10.012042565688599,9.8690424392173792,null,9.8690424392173792,2018]
["Ukraine",5.9644895115132197,6.1983879646896796,null,6.1983879646896796,2018,"Ukraine",3.4326264197497798,3.4437003620491198,null,3.4437003620491198,2018,"Ukraine",15.7510465584059,16.210238681254001,null,16.210238681254001,2018]
["United Arab Emirates",1.65054037744393,1.5021368589509501,null,1.5021368589509501,2018,"United Arab Emirates",2.4071133776815299,1.5797950801615299,null,1.5797950801615299,2018,"United Arab Emirates",1.25729915208791,2.2362681033718199,null,2.2362681033718199,2018]
["United Kingdom",4.99324511899471,4.9010163741828503,null,4.9010163741828503,2018,"United Kingdom",7.5456582630319904,7.5975906208741097,null,7.5975906208741097,2018,"United Kingdom",15.2526140096574,15.1374777827517,null,15.1374777827517,2018]
["United States",6.0539787098988702,5.94559310309642,null,5.94559310309642,2018,"United States",9.2836508442882497,9.3061684945518195,null,9.3061684945518195,2018,"United States",7.6626769239833203,7.5410262844231699,null,7.5410262844231699,2018]
["Uzbekistan",6.34796898758092,null,null,6.34796898758092,2017,"Uzbekistan",2.6709405556693699,null,null,2.6709405556693699,2017,"Uzbekistan",7.6959949157523999,null,null,7.6959949157523999,2017]

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["IMF WEO GDP, October 2019                   ",null,"SUBJECT: GDP",null,null," Units:  National Currency",null,null,null,null,"Downloaded on 21/10/2019",null,null,"Formula name:   WEO_GDP"]
[]
["Country - last CRII2","Subject Descriptor","Units","Scale","Country/Series-specific Notes",2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,"Estimates Start After","2019 as value"]
["Afghanistan","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 Notes: National accounts data is originally compiled on the basis of a solar year, which runs from March 21 to March 20. Data is converted to calendar years for the purpose of WEO publication. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December. none Base year: 2002. Base year is the solar year 2002/03 Chain-weighted: No Primary domestic currency: Afghan Afghani Data last updated: 02/2019",517.50900000000001,607.22699999999998,711.75900000000001,836.22199999999998,1033.5909999999999,1116.827,1183.039,1226.57,1318.4780000000001,1377.5350000000001,1421.4110000000001,1502.4739999999999,1624.8869999999999,1770.34,2018,{"$f":"Q4*1000000000","v":1502474000000}]
["Albania","Gross domestic product, current prices","National currency","Billions","Source: IMF Staff Estimates Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 1996 Chain-weighted: Yes, from 1996 Primary domestic currency: Albanian lek Data last updated: 01/2019",1080.6759999999999,1143.9359999999999,1239.645,1300.624,1332.8109999999999,1350.0530000000001,1395.3050000000001,1434.307,1472.479,1551.2809999999999,1626.1959999999999,1705.3820000000001,1808.9870000000001,1925.981,2018,{"$f":"Q5*1000000000","v":1705382000000}]
["Algeria","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2001 Chain-weighted: Yes, from 2005 Primary domestic currency: Algerian dinar Data last updated: 02/2019",11043.704,9968.0249999999996,11991.564,14589,16209.6,16647.900000000001,17228.599999999999,16712.686000000002,17514.599999999999,18575.8,20259,20447.356,21457.527999999998,22900.109,2018,20447356000000]
["Angola","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Ministry of Planning Latest actual data: 2017. Starting from the year 2002, historical National Accounts data are provided by Angola?s National Institute of Statistics (INE). Data for prior years are based on different sources and/or estimated by IMF staff, including using a ratio slicing method in order to avoid breaks in the data. Notes: Starting from the year 2002, the composition of aggregate demand was revised taking into account updated information from the authorities? National Accounts statistics. Data for prior years are based on [old information] and/or estimated by IMF staff, including using a ratio slicing method in order to avoid breaks in the data. National accounts manual used: European System of Accounts (ESA) 1995 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2002 Chain-weighted: No Primary domestic currency: Angolan kwanza Data last updated: 03/2019",6643.3530000000001,5577.3410000000003,7701.6509999999998,10500.941999999999,12224.95,13195.004000000001,14323.859,13950.290999999999,16549.564999999999,20262.278999999999,26777.991999999998,31474.102999999999,36238.375,40499.68,2018,31474103000000]
["Antigua and Barbuda","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2017. Preliminary Notes: Historical values for expenditure based GDP components are not reported by authorities and are estimated by IMF staff using data from balance of payments and fiscal accounts.  GDP expenditure component estimates prior 2014 have been removed due to internal inconsistencies arising from methodological changes to international trade estimates from the balance of payments applicable to data reported after 2014. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Factor costs Start/end months of reporting year: January/December Base year: 2006. Nominal GDP is measured at market prices and real GDP is measured at factor cost, hence the GDP deflator is not equal to 100. Chain-weighted: No Primary domestic currency: Eastern Caribbean dollar Data last updated: 03/2019",3.6949999999999998,3.3050000000000002,3.101,3.0720000000000001,3.24,3.19,3.3740000000000001,3.609,3.879,3.964,4.3490000000000002,4.5579999999999998,4.8049999999999997,5.0250000000000004,2017,4558000000]
["Argentina","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2004 Chain-weighted: No Primary domestic currency: Argentine peso Data last updated: 03/2019",1149.646,1247.9290000000001,1661.721,2179.0239999999999,2637.9140000000002,3348.308,4579.0860000000002,5954.5110000000004,8228.16,10644.779,14605.79,21603.141,32323.707999999999,43319.77,2018,21603141000000]
["Armenia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: No Primary domestic currency: Armenian dram Data last updated: 01/2019",3568.2280000000001,3141.6509999999998,3460.203,3777.9459999999999,4266.4610000000002,4555.6379999999999,4828.6260000000002,5043.6329999999998,5067.2939999999999,5564.4930000000004,6005.058,6541,7095.1,7732,2018,6541000000000]
["Aruba","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017. Central Bureau of Statistics (CBS) last actual data is 2011 as it is undergoing a revision and update of Aruba's National Accounts statistics. Since 2011, then the Central Bank has provided estimates up 2017 using the same CBS methodology. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2000 Chain-weighted: Yes, from 2000 Primary domestic currency: Aruban Florin (Afl.) Data last updated: 01/2019",4.9139999999999997,4.4729999999999999,4.2789999999999999,4.5640000000000001,4.5369999999999999,4.6180000000000003,4.7430000000000003,4.8179999999999996,4.7560000000000002,4.7949999999999999,5.0519999999999996,5.1959999999999997,5.3179999999999996,5.492,2017,5196000000]
["Australia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Australian Bureau of Statistics (via Haver Analytics) Latest actual data: 2018. Data refer to calendar years National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2015/16. The base period is 2015Q3-2016Q2 Chain-weighted: Yes, from before 1980. Annually-reweighted Primary domestic currency: Australian dollar Data last updated: 03/2019",1234.201,1262.3910000000001,1361.3030000000001,1466.7439999999999,1514.8720000000001,1567.847,1614.5930000000001,1641.117,1704.22,1808.5820000000001,1898.1,1983.3320000000001,2029.3109999999999,2121.7420000000002,2018,1983332000000]
["Austria","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1995 Primary domestic currency: Euro Data last updated: 03/2019",293.762,288.04399999999998,295.89699999999999,310.12900000000002,318.65300000000002,323.91000000000003,333.14600000000002,344.25900000000001,356.238,369.899,386.09399999999999,398.65,412.83300000000003,427.30099999999999,2018,398650000000]
["Azerbaijan","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 Notes: Data prior to 2001 cannot be confirmed at this time. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: Yes, from 1994 Primary domestic currency: Azerbaijan manat Data last updated: 02/2019",40.137,35.601999999999997,42.465000000000003,52.082000000000001,54.744,58.182000000000002,59.014000000000003,54.38,60.424999999999997,70.337999999999994,79.796999999999997,80.191000000000003,81.665000000000006,83.986999999999995,2018,80191000000]
["Bahamas, The","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2012 Chain-weighted: No Primary domestic currency: Bahamian dollar Data last updated: 01/2019",10.526,9.9819999999999993,10.096,10.07,10.72,10.563000000000001,10.913,11.752000000000001,11.938000000000001,12.15,12.425000000000001,12.664,12.815,13.314,2018,12664000000]
["Bahrain","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Bahrain dinar Data last updated: 02/2019",9.6669999999999998,8.625,9.6679999999999993,10.82,11.561999999999999,12.234999999999999,12.554,11.702999999999999,12.125999999999999,13.323,14.193,14.356999999999999,14.78,15.327,2018,14357000000]
["Bangladesh","Gross domestic product, current prices","National currency","Billions","Source: Bangladesh Bureau of Statistics Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December. Authorities report July/June, we convert to Jan/Dec. Base year: 2005/06. We estimate calendar year data by adding taking the average of two consecutive fiscal years. Please note that the base year will still be in fiscal year regardless of any transformation we make here. Chain-weighted: No Primary domestic currency: Bangladesh taka Data last updated: 03/2019",6668.7709999999997,7513.0529999999999,8566.8379999999997,9855.1640000000007,11270.636,12712.987999999999,14297.383,16243.33,18543.396000000001,21131.482,24094.782999999999,27447.128000000001,31132.775000000001,35227.461000000003,2018,27447128000000]
["Barbados","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. The National Statistics Office is the primary source of National Accounts Data. Partial data is published on the central bank website. Expenditure side not available. Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Factor costs Start/end months of reporting year: January/December Base year: 2010. Constant price GDP is based on 1974 as base year, compiled by the Central bank of Barbados (CBB). Currently, the Barbados Statistical Services (BSS) ,with the assistance of CARTAC, began compiling constant price GDP by industry using 2010 as base year. Chain-weighted: No Primary domestic currency: Barbados dollar Data last updated: 01/2019",9.57,8.9309999999999992,9.06,9.3149999999999995,9.2200000000000006,9.3539999999999992,9.3930000000000007,9.43,9.66,9.9559999999999995,10.173,10.378,10.645,11.058,2018,10378000000]
["Belarus","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Formally, the National Statistical Committee of the Republic of Belarus Latest actual data: 2017 Notes: The national accounts have been updated from 2014 onwards. Prior to 2014 the data are adjusted to produce smooth series with the use of a splicing technique. These estimates continue to serve as proxies for historical series when complete information is unavailable. National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2014 Chain-weighted: Yes, from 2005 Primary domestic currency: Belarusian rubel Data last updated: 02/2019",12.978999999999999,14.209,17.047000000000001,30.725000000000001,54.762,67.069000000000003,80.578999999999994,89.91,94.948999999999998,105.748,121.568,131.23400000000001,137.768,143.916,2018,131234000000.00002]
["Belgium","Gross domestic product, current prices","National currency","Billions","Source: Central Bank. Data before 1995 were spliced with older series. Data from 1995 reflect current official series. Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010. ESA 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2016 Chain-weighted: Yes, from 1995. Data before 1995 are spliced with older series. Primary domestic currency: Euro Data last updated: 02/2019",354.06599999999997,348.78199999999998,365.101,379.10700000000003,387.50099999999998,392.34100000000001,400.08600000000001,411.10300000000001,424.60500000000002,439.17500000000001,450.50599999999997,460.88099999999997,472.613,484.291,2018,460881000000]
["Belize","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2000 Chain-weighted: No Primary domestic currency: Belize dollar Data last updated: 02/2019",2.7370000000000001,2.67,2.7930000000000001,2.9729999999999999,3.1280000000000001,3.2170000000000001,3.3860000000000001,3.5249999999999999,3.613,3.7250000000000001,3.85,4.0019999999999998,4.1509999999999998,4.3099999999999996,2018,4002000000]
["Benin","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2015 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2007 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 03/2019",4365.33,4580.0119999999997,4718.0339999999997,5039.2129999999997,5688.2910000000002,6182.5590000000002,6559.3329999999996,6732.8140000000003,7005.23,7375.3019999999997,7922.0039999999999,8395.15,9061.1180000000004,9888.5280000000002,2018,8395150000000]
["Bhutan","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2015/16 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Factor costs Start/end months of reporting year: July/June Base year: 2000/01. Nominal and real GDP are not measured in the same way and as a result, the GDP deflator is not equal to 100. Chain-weighted: No Primary domestic currency: Bhutanese ngultrum Data last updated: 02/2019",52.1,57.981999999999999,66.858999999999995,78.722999999999999,91.200999999999993,101.416,112.462,125.843,140.64599999999999,156.88999999999999,173.36500000000001,192.827,216.65600000000001,241.36099999999999,2018,192827000000]
["Bolivia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 1990 Chain-weighted: No Primary domestic currency: Bolivian boliviano Data last updated: 02/2019",120.694,121.727,137.876,166.232,187.154,211.85599999999999,228.00399999999999,228.03100000000001,234.53299999999999,259.185,278.38799999999998,290.87,310.43200000000002,333.77100000000002,2017,290870000000]
["Bosnia and Herzegovina","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Authorities provided revised supply-side GDP data for the period 00-10 and demand -side GDP data for the period 04-10. The authorities also revised the data for 2015-2016. Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 2000 Primary domestic currency: Bosnian convertible marka Data last updated: 02/2019",24.984000000000002,24.78,25.346,26.21,26.193000000000001,26.742999999999999,27.303999999999998,28.585999999999999,29.899000000000001,31.376000000000001,33.408000000000001,34.851999999999997,36.271000000000001,37.802,2018,34852000000]
["Botswana","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: No Primary domestic currency: Botswana pula Data last updated: 03/2019",74.721000000000004,73.462000000000003,86.867000000000004,104.98,109.87,125.158,145.869,146.066,170.56399999999999,180.102,189.869,200.19,215.94300000000001,241.29400000000001,2018,200190000000]
["Brazil","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 1995 Chain-weighted: No Primary domestic currency: Brazilian real Data last updated: 03/2019",3107.9780000000001,3329.9679999999998,3883.9079999999999,4376.3019999999997,4815.3919999999998,5331.2110000000002,5779.085,5995.2430000000004,6264.942,6551.2929999999997,6824.6809999999996,7197.0140000000001,7649.7510000000002,8165.5730000000003,2018,7197014000000]
["Brunei Darussalam","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Department of Economic Planning and Development, Prime Minister's office. Latest actual data: 2017 National accounts manual used: SNA 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Brunei dollar Data last updated: 03/2019",22.681000000000001,17.297999999999998,18.690000000000001,23.303000000000001,23.802,22.638999999999999,21.664000000000001,17.777999999999999,15.747999999999999,16.747,18.300999999999998,16.907,17.280999999999999,17.498000000000001,2018,16907000000]
["Bulgaria","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1996 Primary domestic currency: Bulgarian lev Data last updated: 02/2019",72.756,72.986000000000004,74.771000000000001,80.759,82.04,81.866,83.756,88.575000000000003,94.13,101.04300000000001,107.925,115.371,122.404,129.47999999999999,2018,115371000000]
["Burkina Faso","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. The ministry of economy also provides estimates Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 1999 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 01/2019",3747.9690000000001,3951.81,4447.57,5060.3220000000001,5700.5780000000004,5904.4560000000001,6119.9530000000004,6162.4920000000002,6443.7560000000003,7177.3389999999999,7849.0870000000004,8483.8189999999995,9169.8130000000001,9915.6200000000008,2018,8483818999999.999]
["Burundi","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2015. No official national accounts data have been published since 1998. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: No Primary domestic currency: Burundi franc Data last updated: 02/2019",1911.1389999999999,2184.1770000000001,2501.047,2819.5340000000001,3365.81,3997.317,4538.2209999999995,4723.4549999999999,5192.3190000000004,5872.2839999999997,6183.317,6757.0060000000003,7383.3670000000002,8070.5959999999995,2015,6757006000000]
["Cabo Verde","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 Notes: The national accounts data have been revised from 2002 onward. The new data are obtained through a new computation methodology that uses an updated input-output table. The base year for the constant prices data is 2007. National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2007 Chain-weighted: Yes, from 2011 Primary domestic currency: Cabo Verde escudo Data last updated: 02/2019",134.69800000000001,135.87899999999999,138.56899999999999,147.92400000000001,150.351,153.72300000000001,154.43600000000001,158.69900000000001,165.78200000000001,173.09700000000001,184.661,196.75700000000001,209.71299999999999,223.67599999999999,2018,196757000000]
["Cambodia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2000 Chain-weighted: No Primary domestic currency: Cambodian riel Data last updated: 01/2019",41968.385000000002,43056.732000000004,47047.985000000001,52068.692999999999,56681.569000000003,61326.928,67436.790999999997,73422.702000000005,81241.865999999995,89754.4,98918.672999999995,108396.898,118799.564,130173.83199999999,2018,108396898000000]
["Cameroon","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 02/2019",11826.44,12285.308000000001,12948.432000000001,13843.138999999999,14858.603999999999,15981.28,17276.469000000001,18285.382000000001,19344.838,20328.363000000001,21492.534,22563.616000000002,23780.720000000001,25222.587,2017,22563616000000]
["Canada","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2012 Chain-weighted: Yes, from 1980 Primary domestic currency: Canadian dollar Data last updated: 03/2019",1657.0419999999999,1571.3340000000001,1666.047,1774.0630000000001,1827.202,1902.2470000000001,1994.8920000000001,1990.4390000000001,2028.223,2141.5079999999998,2219.0610000000001,2297.5529999999999,2382.8020000000001,2475.7669999999998,2018,2297553000000]
["Central African Republic","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2012 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 01/2019",910.45699999999999,972.27599999999995,1060.1420000000001,1148.896,1281.5609999999999,835.45399999999995,935.57799999999997,1002.592,1081.5160000000001,1203.3240000000001,1265.96,1355.6010000000001,1459.454,1571.05,2017,1355601000000]
["Chad","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993. Unknown GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 01/2019",4652.3860000000004,4385.5559999999996,5290.6080000000002,5742.4040000000005,6332.4470000000001,6417.7380000000003,6912.49,6474.0730000000003,6047.1459999999997,5854.5720000000001,6135.64,6439.8530000000001,6988.3050000000003,7542.7449999999999,2017,6439853000000]
["Chile","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2013 Chain-weighted: Yes, from 2003 Primary domestic currency: Chilean peso Data last updated: 03/2019",93775.514999999999,96544.737999999998,111391.553,121930.776,129903.48,137867.06,148570.26699999999,159534.872,169416.02900000001,180169.18599999999,191199.03200000001,200106.981,211500.815,225526.53400000001,2018,200106981000000]
["China","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Data retrieved from CEIC Latest actual data: 2018. Latest actual data for real GDP and expenditure breakdown is 2017. National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices. Authorities publish production-based measure; staff estimates expenditure-based measures. Start/end months of reporting year: January/December Base year: 2015. For the national account real, we are using 2015 as base year Chain-weighted: No Primary domestic currency: Chinese yuan Data last updated: 03/2019",31993.584999999999,34988.334000000003,41070.826000000001,48603.777999999998,54098.889000000003,59696.286,64718.167999999998,69910.944000000003,74563.240000000005,81526.03,88442.6,95497.017000000007,102812.788,111157.586,2018,95497017000000]
["Colombia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993. Fifth Manual GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2015. DANE (Colombia Institute of Statistics) has done a rebasing of the national accounts (now base year is 2015 and before 2005). Data with the new base is ONLY AVAILABLE FROM 2005. The change also includes methodological changes (for example, direct estimation of private consumption based on a survey) and most important, change in the index formulae (historically a Laspeyres fixed-base index and now a Laspeyres chain index). The main implications are that the 2005 and 2015 series are not comparable and the chain index is associated with non-additivity of the components. Chain-weighted: Yes, from 2000 Primary domestic currency: Colombian peso Data last updated: 03/2019",475618,501782,543188,618117,665883,713626,762902,804692,863782,920194,978478,1051771.4210000001,1125007.946,1202668.294,2018,1051771421000000.1]
["Comoros","Gross domestic product, current prices","National currency","Billions","Source: Planning Commissariat Latest actual data: 2017 National accounts manual used: Other GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2000 Chain-weighted: No Primary domestic currency: Comorian franc Data last updated: 03/2019",306.28800000000001,319.33199999999999,336.947,361.596,388.98399999999998,413.47699999999998,425.71300000000002,438.33100000000002,456.75599999999997,470.73399999999998,492.86,514.21,542.37599999999998,573.29,2016,514210000000.00006]
["Congo, Dem. Rep.","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 Notes: Data prior to 2001 cannot be confirmed by national sources at this time. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: No Primary domestic currency: Congo franc Data last updated: 03/2019",11067.569,15101.188,19536.677,23759.424999999999,26954.557000000001,30051.179,33223.987999999998,35111.226000000002,37517.392,55676.093000000001,76495.5,82679.019,90002.403000000006,97604.35,2018,82679019000000]
["Congo, Rep.","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 1990 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 03/2019",4556.8999999999996,4409.7330000000002,6082.52,6982.4549999999999,6971.9229999999998,6927.2420000000002,6959.94,5056.482,4615.6000000000004,5188.2759999999998,6475.8530000000001,6761.4470000000001,6755.777,6653.6660000000002,2017,6761447000000]
["Costa Rica","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2012 Chain-weighted: No Primary domestic currency: Costa Rican colon Data last updated: 03/2019",16109.611999999999,17521.035,19596.937000000002,21370.733,23371.405999999999,24860.944,27226.883000000002,29281.373,31136.210999999999,33014.819000000003,34693.417999999998,36474.908000000003,38646.449000000001,40977.961000000003,2018,36474908000000]
["Cote d'Ivoire","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2009 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 03/2019",10848.04,11463.5,12324.723,12112.687,13677.316999999999,15445.759,17461.003000000001,19595.381000000001,20931.397000000001,22150.798999999999,23899.782999999999,25955.076000000001,28307.659,30786.32,2016,25955076000000]
["Croatia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. By the former Central Bureau of Statistics of the Republic of Croatia (CroStat), now the Croatian Bureau of Statistics (CBS, www.dzs.hr). Latest actual data: 2017 Notes: The authorities produce data from 1995 only; Earlier data for the GDP and its components result from splicing.  The GDP estimates include all economic activities within the ESA 2010 production boundary, covering both registered and unregistered activities. In addition to the unregistered activities covered since the implementation of ESA 1995 in 2009, since September 2014 CBS is also covering data on illegal activities  within ESA 2010. National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices. Gross domestic product (GDP) by expenditure approach is valued at market prices and gross value added (GVA) by production approach is valued at basic prices. Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Croatian kuna Data last updated: 03/2019",347.74900000000002,331.36700000000002,329.14299999999997,333.45400000000001,330.82600000000002,331.78500000000003,331.56900000000002,339.61599999999999,351.34699999999998,365.642,381.79700000000003,400.70499999999998,417.98099999999999,435.85500000000002,2018,400705000000]
["Cyprus","Gross domestic product, current prices","National currency","Billions","Source: Eurostat Latest actual data: 2018 National accounts manual used: ESA 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1995 Primary domestic currency: Euro Data last updated: 03/2019",19.006,18.673999999999999,19.298999999999999,19.731000000000002,19.489999999999998,18.140999999999998,17.61,17.745999999999999,18.489999999999998,19.649000000000001,20.731000000000002,21.619,22.634,23.773,2018,21619000000]
["Czech Republic","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1995 Primary domestic currency: Czech koruna Data last updated: 03/2019",4024.1170000000002,3930.4090000000001,3962.4639999999999,4033.7550000000001,4059.9119999999998,4098.1279999999997,4313.7889999999998,4595.7830000000004,4767.99,5047.2669999999998,5328.7380000000003,5604.7560000000003,5894.8069999999998,6171.39,2018,5604756000000]
["Denmark","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: ESA 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1980 Primary domestic currency: Danish krone Data last updated: 03/2019",1801.47,1722.143,1810.9259999999999,1846.854,1895.002,1929.6769999999999,1981.165,2036.356,2100.2159999999999,2178.067,2223.1149999999998,2297.732,2380.5540000000001,2471.444,2018,2297732000000]
["Djibouti","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 1990 Chain-weighted: No Primary domestic currency: Djibouti franc Data last updated: 03/2019",245.35,253.191,274.11500000000001,309.03500000000003,337.66199999999998,363.05200000000002,393.86500000000001,434.61200000000002,465.375,491.72800000000001,519.54,562.72400000000005,608.41700000000003,657.82,2018,562724000000]
["Dominica","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: No Primary domestic currency: Eastern Caribbean dollar Data last updated: 03/2019",1.2370000000000001,1.321,1.333,1.353,1.3120000000000001,1.355,1.4139999999999999,1.46,1.554,1.4139999999999999,1.44,1.601,1.7090000000000001,1.8140000000000001,2017,1601000000]
["Dominican Republic","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2007 Chain-weighted: Yes, from 2007 Primary domestic currency: Dominican peso Data last updated: 03/2019",1661.643,1736.0409999999999,1983.202,2210.2139999999999,2386.0160000000001,2619.77,2925.665,3205.6550000000002,3487.2930000000001,3802.6559999999999,4235.8469999999998,4550.1930000000002,4999.6549999999997,5470.9009999999998,2018,4550193000000]
["Ecuador","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2018 Notes: The national accounts have been updated from 2002 onwards. Prior to 2002 the data are adjusted to produce smooth series with the use of splicing technique. These estimates continue to serve as proxies for historical series when complete information is unavailable. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2007 Chain-weighted: No Primary domestic currency: U.S. dollar Data last updated: 03/2019",61.762999999999998,62.52,69.555000000000007,79.277000000000001,87.924999999999997,95.13,101.726,99.29,99.938000000000002,104.29600000000001,108.398,107.914,109.444,112.682,2018,107914000000]
["Egypt, Arab Rep.","Gross domestic product, current prices","National currency","Billions","Source: Ministry of Planning Latest actual data: 2017/18 Notes: Data prior to 1987 cannot be confirmed by national sources at this time. National accounts manual used: System of National Accounts (SNA) 2008. From 2001/2002, the structure, concepts, definitions, and classifications follow the 1993 System and part of 2008 of National Accounts GDP valuation: Market prices. Data refer to fiscal years Start/end months of reporting year: July/June Base year: 2011/12. 2011/12 for demand side, 2011/12 for supply side Chain-weighted: No Primary domestic currency: Egyptian pound Data last updated: 03/2019",941.59699999999998,1095.848,1268.711,1441.6780000000001,1674.7,1860.4,2130,2443.9,2709.4,3470,4437.3999999999996,5324.4390000000003,6185.527,7020.3530000000001,2018,5324439000000]
["El Salvador","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2018. Preliminary National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2014 Chain-weighted: No Primary domestic currency: U.S. dollar Data last updated: 03/2019",17.986999999999998,17.602,18.448,20.283999999999999,21.385999999999999,21.991,22.593,23.437999999999999,24.154,24.928000000000001,26.056999999999999,26.870999999999999,27.917999999999999,29.026,2018,26871000000]
["Equatorial Guinea","Gross domestic product, current prices","National currency","Billions","Source: Ministry of Economy and/or Planning. Ministry of Economy, Planning, and Public Investment, and Banque des Etats de l'Afrique Centrale (Central Bank) Latest actual data: 2017 Notes: Since 2006, IMF staff have estimated real GDP growth from hydrocarbon production and investment data and the government expenditure. The national authorities are considering the adoption of the IMF staff estimates. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 03/2019",8844.107,7095.9189999999999,8072.2929999999997,10064.619000000001,11430.511,10840.521000000001,10746.852000000001,7795.42,6661.3649999999998,7152.1220000000003,7625.2120000000004,7058.8950000000004,6732.6719999999996,6504.4960000000001,2017,7058895000000]
["Eritrea","Gross domestic product, current prices","National currency","Billions","Source: IMF Staff Estimates Latest actual data: 2006 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: No Primary domestic currency: Eritrean nakfa Data last updated: 02/2019",14.186,19.936,24.439,31.748999999999999,34.668999999999997,30.103999999999999,40.04,30.826000000000001,33.366999999999997,28.934999999999999,30.251999999999999,31.809000000000001,33.054000000000002,35.075000000000003,2018,31809000000]
["Estonia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 Notes: Data from 2003 onwards reflect methodological revisions. National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 2010 Primary domestic currency: Euro Data last updated: 03/2019",16.638000000000002,14.212,14.863,16.829000000000001,18.050999999999998,19.033000000000001,20.18,20.782,21.693999999999999,23.776,26.036000000000001,27.635999999999999,29.222000000000001,30.893999999999998,2018,27636000000]
["Eswatini","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2011 Chain-weighted: No Primary domestic currency: Swaziland lilangeni Data last updated: 01/2019",27.213000000000001,30.338999999999999,32.497,35.002000000000002,40.119,44.390999999999998,47.994,51.972000000000001,56.496000000000002,59.284999999999997,62.372999999999998,66.459000000000003,70.409000000000006,74.578000000000003,2017,66459000000]
["Ethiopia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016/17 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Factor costs. Data refer to fiscal years (July/June). Data for 2011 represent fiscal year 2010/11. Start/end months of reporting year: July/June Base year: 2015/16 Chain-weighted: No Primary domestic currency: Ethiopian birr Data last updated: 03/2019",250.13300000000001,337.60899999999998,385.94299999999998,515.07899999999995,747.32600000000002,866.92100000000005,1060.825,1297.961,1541.277,1806.6559999999999,2202.373,2638.69,3207.5039999999999,3798.86,2018,2638690000000]
["Fiji","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Fiji Islands Bureau of Statistics Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Factor costs Start/end months of reporting year: January/December Base year: 2011 Chain-weighted: No Primary domestic currency: Fiji dollar Data last updated: 03/2019",6.0819999999999999,6.0819999999999999,6.5259999999999998,7.3319999999999999,7.7009999999999996,8.3580000000000005,9.1669999999999998,9.8219999999999992,10.327,11.065,11.557,12.226000000000001,12.983000000000001,13.813000000000001,2018,12226000000]
["Finland","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Downloaded through Haver Analytics Latest actual data: 2018 National accounts manual used: ESA 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1980 Primary domestic currency: Euro Data last updated: 03/2019",193.71100000000001,181.029,187.1,196.869,199.79300000000001,203.33799999999999,205.47399999999999,209.952,216.07300000000001,223.91800000000001,232.096,239.42099999999999,247.489,256.02100000000002,2018,239421000000]
["France","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2014 Chain-weighted: Yes, from 1980 Primary domestic currency: Euro Data last updated: 03/2019",1992.38,1936.422,1995.289,2058.3690000000001,2088.8040000000001,2117.1889999999999,2149.7649999999999,2198.4319999999998,2234.1289999999999,2295.0630000000001,2353.09,2410.3890000000001,2473.5970000000002,2542.4490000000001,2018,2410389000000]
["Gabon","Gross domestic product, current prices","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2001 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 02/2019",6944.8220000000001,5738.1189999999997,7111.4769999999999,8581.5830000000005,8766.4889999999996,8690.5169999999998,8988.3250000000007,8503.4449999999997,8310.6180000000004,8668.8919999999998,9368.7849999999999,9811.5660000000007,10197.437,10659.618,2018,9811566000000]
["Gambia, The","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2013 Chain-weighted: No Primary domestic currency: Gambian dalasi Data last updated: 01/2019",34.658999999999999,38.637999999999998,43.231000000000002,41.531999999999996,45.389000000000003,49.463999999999999,51.308999999999997,58.581000000000003,64.39,70.141999999999996,78.623000000000005,89.177000000000007,100.548,111.81,2018,89177000000]
["Georgia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016 Notes: Data prior to 1996 cannot be confirmed by national sources. Data prior to 2010 are based on staff estimates. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1996 Primary domestic currency: Georgian lari Data last updated: 03/2019",19.074999999999999,17.986000000000001,20.742999999999999,24.344000000000001,26.167000000000002,26.847000000000001,29.151,31.756,34.029000000000003,37.847000000000001,41.076999999999998,44.749000000000002,48.322000000000003,52.341000000000001,2018,44749000000]
["Germany","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 Notes: Data until 1990 refers to German federation only (West Germany). National accounts data until 1990 do not include FISIM. Data from 1991 refer to United Germany and include FISIM. National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010. The GDP deflator in the base year is not exactly equal to 100 since it is computed based on the quarterly real GDP data, which have been adjusted for seasonal and calendar effects. Chain-weighted: Yes, from 1991. From 1991. Primary domestic currency: Euro Data last updated: 03/2019",2546.4899999999998,2445.73,2564.4,2693.56,2745.31,2811.35,2927.43,3030.07,3134.1,3244.99,3344.37,3439.9369999999999,3554.0360000000001,3676.056,2018,3439937000000]
["Ghana","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2013 Chain-weighted: No Primary domestic currency: Ghanaian cedi Data last updated: 02/2019",40.636000000000003,48.988999999999997,61.595999999999997,81.102999999999994,101.471,123.65,155.43299999999999,180.399,215.077,256.67099999999999,300.596,347.96300000000002,399.31099999999998,455.39100000000002,2018,347963000000]
["Greece","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Formally, the National Statistical Office (ELSTAT) Latest actual data: 2017. For quarterly data, latest actual is 2018Q1. Notes: The National Statistical Office has significantly and repeatedly revised national accounts data over the course of the past several years. Official data are only available from 1995. Data prior to 1995 came from European Commission Macro Forecasts (AMECO database). National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1995 Primary domestic currency: Euro Data last updated: 02/2019",241.99,237.53399999999999,226.03100000000001,207.029,191.20400000000001,180.654,178.65600000000001,177.25800000000001,176.488,180.21799999999999,184.714,190.018,196.42,202.63800000000001,2018,{"$f":"Q69*1000000000","v":190018000000}]
["Grenada","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 Notes: Historical values for expenditure based GDP components are not reported by authorities and are estimated by IMF staff using data from balance of payments and fiscal accounts.  GDP expenditure component estimates prior 2014 have been removed due to internal inconsistencies arising from methodological changes to international trade estimates from the balance of payments applicable to data reported after 2014. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: No Primary domestic currency: Eastern Caribbean dollar Data last updated: 02/2019",2.23,2.0819999999999999,2.0819999999999999,2.1019999999999999,2.16,2.2749999999999999,2.4609999999999999,2.6920000000000002,2.8660000000000001,3.0390000000000001,3.1989999999999998,3.343,3.496,3.661,2018,3343000000]
["Guatemala","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2001 Chain-weighted: Yes, from 2001 Primary domestic currency: Guatemalan quetzal Data last updated: 03/2019",295.87099999999998,307.96699999999998,333.09300000000002,371.012,394.72300000000001,423.09800000000001,454.053,488.12799999999999,521.83699999999999,555.649,589.96,633.52499999999998,681.87199999999996,739.72699999999998,2018,633525000000]
["Guinea","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016 Notes: Data prior to 1995 cannot be confirmed by national sources at this time. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Guinean franc Data last updated: 01/2019",32046,32248,39289.699999999997,45176,51605.042999999998,57865,61663.6,65829,77086,93664.323999999993,109022.75900000001,125588.598,143915.85999999999,164919.16699999999,2018,125588598000000]
["Guinea-Bissau","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 Notes: Data prior to 1997 cannot be confirmed by national sources at this time. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 01/2019",387.197,390.40300000000002,420.51499999999999,518.28800000000001,505.07900000000001,516.66200000000003,520.87199999999996,619.726,698.68499999999995,784.04200000000003,793.12900000000002,811.88900000000001,872.01199999999994,934.15300000000002,2018,811889000000]
["Guyana","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 Notes: Components of GDP by expenditure after 2007 (private and public consumption, private and public investment) are estimates because authorities stopped producing the data. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Factor costs Start/end months of reporting year: January/December Base year: 2006. Previous base year 1988. Rebased to 2006 in 2009. GDP deflator not equal to 100 in base year (2006) because the nominal GDP at market prices includes indirect taxes. Chain-weighted: No Primary domestic currency: Guyana dollar Data last updated: 01/2019",391.50599999999997,413.113,460.072,525.66999999999996,584.78399999999999,613.65300000000002,635.37699999999995,660.22699999999998,723.58100000000002,744.60799999999995,805.66399999999999,852.39499999999998,1677.9939999999999,1826.3050000000001,2017,852395000000]
["Haiti","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017/18. Annual fiscal year bases is 2017-18. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: October/September Base year: 1986/87. Fiscal year 1986-1987 Chain-weighted: No Primary domestic currency: Haitian gourde Data last updated: 02/2019",250.59,267.88,266.952,302.85399999999998,328.06099999999998,364.517,391.63499999999999,423.64400000000001,481.21199999999999,551.91099999999994,631.82899999999995,743.62099999999998,881.48500000000001,1013.957,2018,743621000000]
["Honduras","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2017. Estimates of the CBH, subject to change National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2000 Chain-weighted: No Primary domestic currency: Honduran lempira Data last updated: 03/2019",262.41699999999997,275.63200000000001,299.286,335.02800000000002,361.34899999999999,376.53899999999999,414.63400000000001,460.40499999999997,495.92200000000003,542.57000000000005,572.94500000000005,610.87400000000002,653.75099999999998,699.25599999999997,2017,610874000000]
["Hong Kong SAR, China","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Data retrieved from CEIC Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2016 Chain-weighted: Yes, from 1980 Primary domestic currency: Hong Kong dollar Data last updated: 03/2019",1707.4880000000001,1659.2449999999999,1776.3320000000001,1934.43,2037.059,2138.3049999999998,2260.0050000000001,2398.2800000000002,2490.6170000000002,2662.8359999999998,2842.8829999999998,2921.2469999999998,3017.4679999999998,3152.0970000000002,2018,2921247000000]
["Hungary","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018. Preliminary Notes: We maintain data only after 1995, as this is what the Statistical office provides. National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: Yes, from 2005. Changes in inventories is an estimate. Primary domestic currency: Hungarian forint Data last updated: 03/2019",27193.63,26424.603999999999,27224.598999999998,28304.937999999998,28781.063999999998,30248.235000000001,32583.423999999999,34378.593999999997,35474.186000000002,38355.114999999998,42072.786,45328.377999999997,48228.940999999999,51116.408000000003,2018,45328378000000]
["Iceland","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: Yes, from 1990 Primary domestic currency: Icelandic króna Data last updated: 03/2019",1574.7280000000001,1627.6569999999999,1672.7190000000001,1757.6949999999999,1841.729,1958.962,2073.56,2293.9479999999999,2490.9360000000001,2612.973,2812.0050000000001,2930.9059999999999,3038.3440000000001,3157.0320000000002,2018,2930906000000]
["India","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. The original data is in fiscal years, which begins in April and ends in March, to match with authorities' reporting methods. Latest actual data: 2017/18. Official data for the latest year are revised estimates. Data available on quarter-by-quarter basis. National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: April/March Base year: 2011/12. The base year is by Fiscal Year, which is April to March (e.g. FY2004: April 2004 ? March 2005). Growth rates of real GDP calculated from 1998 to 2011 are as per national accounts with base year 2004/05, and thereafter are as per national accounts with base year 2011/12 Chain-weighted: No Primary domestic currency: Indian rupee Data last updated: 03/2019",56300.6,64778.3,77841.2,87363.3,99440.1,112335.2,124679.6,137718.70000000001,153623.9,170950.1,190101.6,208984.927,232524.022,259524.77600000001,2018,208984927000000]
["Indonesia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Accessed via Haver Data. Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 2008. National account SNA 2008 was  released in 2015 and the authorities publish data from 2010 only. Whenever applicable, the desks use spliced series from Haver for data prior 2010. GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Indonesian rupiah Data last updated: 03/2019",5414841.9000000004,6011375,6864133.0999999996,7831726,8615704.5,9546134,10569705.300000001,11526332.800000001,12401728.5,13587212.6,14825943.979,16075750.174000001,17443353.412,18896585.998,2018,1.6075750174E+16]
["Iran, Islamic Republic of","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2017/18 Notes: GDP in current prices in U.S. dollars is calculated by using the official exchange rate of the Central Bank of Iran (CBI), except for the years 2011- 2015 when the applicable exchange rate is a weighted average of the CBI official exchange rate and the parallel market exchange rate. National accounts manual used: System of National Accounts (SNA) 1993. n.a. GDP valuation: Market prices. Data refer to fiscal years Start/end months of reporting year: April/March. n.a. Base year: 2011/12. 2011/12=100 Chain-weighted: No Primary domestic currency: Iranian rial Data last updated: 03/2019",3893894.3709999998,4073178.9210000001,4990403.7889999999,6364368.5580000002,7283991.2989999996,9842618.6520000007,11260089.218,11129032.802999999,12722849,14807100.800000001,18689543.232999999,22982297.613000002,30048438.524999999,38941460.450000003,2018,2.2982297613E+16]
["Iraq","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: 1968/93 SNA. GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2007. Base year rebased from 1988 to 2007 in end-2014. Chain-weighted: No Primary domestic currency: Iraqi dinar  Data last updated: 02/2019",157026.06200000001,130642.18700000001,162064.56599999999,217327.10699999999,254225.49100000001,273587.52899999998,273603.02,207224.00700000001,206706.95,231049.14499999999,265037.50799999997,265313.842,275104.49599999998,286736.33899999998,2017,265313842000000]
["Ireland","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Central Statistical Office of Ireland (CSO) Latest actual data: 2017 Notes: Prior to 1995 Real GDP is calculated using implied growth rates and excludes services produced by financial intermediaries (FISIM). National accounts manual used: European System of Accounts (ESA) 2010. The revision of NAs in accordance with ESA 2010 starts in 1997. GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2016. Base year changes every year. Chain-weighted: Yes, from 1995 Primary domestic currency: Euro Data last updated: 03/2019",187.75299999999999,170.07599999999999,167.69499999999999,170.75399999999999,174.96700000000001,179.42099999999999,194.55099999999999,262.50400000000002,271.38,296.83499999999998,323.959,342.75200000000001,358.81900000000002,375.01400000000001,2018,342752000000]
["Israel","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008. The System of National Accounts was revised in August 2013 in accordance with changes in the new System of National Accounts 2008. GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2015 Chain-weighted: Yes, from 1995 Primary domestic currency: Israeli shekel Data last updated: 03/2019",774.86800000000005,815.76300000000003,873.92200000000003,936.45699999999999,991.66700000000003,1056.6379999999999,1107.577,1165.3240000000001,1224.951,1271.5550000000001,1330.6179999999999,1390.623,1455.7950000000001,1532.376,2018,1390623000000]
["Italy","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010. ESA2010 GDP valuation: Gross domestic product, chained Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1980 Primary domestic currency: Euro Data last updated: 03/2019",1632.1510000000001,1572.8789999999999,1604.5150000000001,1637.461,1613.2650000000001,1604.6,1621.827,1652.086,1689.8230000000001,1727.383,1766.1679999999999,1770.6890000000001,1797.146,1829.875,2018,1770689000000]
["Jamaica","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2007. Base year was changed from 2003 to 2007 for the Spring 2012 WEO round. Chain-weighted: No Primary domestic currency: Jamaica dollar Data last updated: 02/2019",997.44399999999996,1065.316,1152.78,1240.701,1314.127,1431.934,1541.75,1659.405,1760.9880000000001,1897.3030000000001,2002.837,2097.1309999999999,2210.8180000000002,2351.9209999999998,2018,2097130999999.9998]
["Japan","Gross domestic product, current prices","National currency","Billions","Source: Cabinet Office of Japan via Haver database. Latest actual data: 2018 Notes: the recent revision didn?t go back pre-1994 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2011 Chain-weighted: Yes, from 1980 Primary domestic currency: Japanese yen Data last updated: 03/2019",520715.7,489501,500354,491408.4,494957.1,503175.5,513876,531319.80000000005,535986.5,545103.69999999995,548998.35,557715.69799999997,565864.59499999997,570389.28500000003,2018,557715698000000]
["Jordan","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2016 Chain-weighted: No Primary domestic currency: Jordanian dinar Data last updated: 03/2019",15.593,16.911999999999999,18.762,20.58,22.276,24.187000000000001,25.795000000000002,26.92,27.83,28.902999999999999,29.984000000000002,31.318000000000001,32.871000000000002,34.569000000000003,2018,31318000000]
["Kazakhstan","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 Notes: Data prior to 1996 cannot be confirmed by national sources at this time. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices. Official GDP is calculated based on production, which does not match the total by expenditure?s components. Start/end months of reporting year: January/December Base year: 2007 Chain-weighted: Yes, from 1994 Primary domestic currency: Kazakhstani tenge Data last updated: 03/2019",16052.919,17007.647000000001,21815.517,28243.053,31015.187000000002,35999.025000000001,39675.832999999999,40884.133999999998,46971.15,53101.281999999999,59613.707999999999,65439.180999999997,70163.796000000002,75637.652000000002,2018,65439181000000]
["Kenya","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2009 Chain-weighted: No Primary domestic currency: Kenyan shilling Data last updated: 02/2019",2483.058,2863.6880000000001,3169.3009999999999,3725.9180000000001,4261.37,4745.0879999999997,5402.6450000000004,6284.1869999999999,7022.9629999999997,8144.3729999999996,8904.9840000000004,10068.527,11413.512000000001,12824.642,2018,10068527000000]
["Kiribati","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: No Primary domestic currency: Australian dollar Data last updated: 02/2019",0.16800000000000001,0.17,0.17,0.17599999999999999,0.184,0.192,0.19900000000000001,0.22800000000000001,0.24,0.24199999999999999,0.252,0.26300000000000001,0.27500000000000002,0.28799999999999998,2017,263000000]
["Korea, Rep.","Gross domestic product, current prices","National currency","Billions","Source: Central Bank. The Bank of Korea revised the national accounts data when adopting the 2008 System of National Accounts (SNA). Official data are only available from 2000. Data prior to 2000 were obtained by applying the growth rates of the previous data series and should be treated as provisional. Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from before 1980 Primary domestic currency: Korean won Data last updated: 03/2019",1154216.6000000001,1205347.8,1322611.2,1388937.2,1440111.3,1500819.2,1562929,1658020.5,1740779.5,1835698.1,1893497.1,1913636.321,1957228.939,2033870.2919999999,2018,1913636321000000]
["Kosovo","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. We have received revised National Accounts data. Latest actual data: 2018 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2016. Base year changes as new data is released - previous year's prices Chain-weighted: No Primary domestic currency: Euro Data last updated: 03/2019",3.883,4.07,4.4020000000000001,4.8140000000000001,5.0590000000000002,5.327,5.5670000000000002,5.8070000000000004,6.07,6.4139999999999997,6.726,7.12,7.4989999999999997,7.931,2018,7120000000]
["Kuwait","Gross domestic product, current prices","National currency","Billions","Source: Ministry of Planning and Central Statistical Office Latest actual data: 2017 Notes: Real GDP data for the period 1990-2009 have been adjusted by desk economist to account for breaks in the source data. The breaks are associated with changes in the base year from 1984 to 1995, to 2000, and subsequently to 2010. Pre-revision data exist for the period prior to 1995. The nominal data were revised back to 1995. The latest revision of nominal and real data go to 2010. Using the pre-revision data, desk economist recalculated the constant price data for the period prior to 1995 so that y-o-y change of each component remains unchanged. A similar adjustment was made to the period 1995-2009. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010. Nominal data has been revised by country authorities, therefore, deflators do not add to 100 until the Real figures get revised. Chain-weighted: No Primary domestic currency: Kuwaiti dinar Data last updated: 02/2019",39.619999999999997,30.495999999999999,33.079000000000001,42.512,48.722000000000001,49.392000000000003,46.284999999999997,34.472999999999999,33.055999999999997,36.261000000000003,42.762999999999998,41.539000000000001,42.136000000000003,43.298999999999999,2017,41539000000]
["Kyrgyz Republic","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: No Primary domestic currency: Kyrgyz som Data last updated: 03/2019",187.99199999999999,201.22300000000001,220.369,285.98899999999998,310.471,355.29500000000002,400.69400000000002,430.48899999999998,476.33100000000002,530.476,557.11300000000006,585.601,635.798,692.61099999999999,2018,585601000000]
["Lao PDR","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2012 Chain-weighted: No Primary domestic currency: Lao kip Data last updated: 03/2019",51950.014000000003,54789.536999999997,61996.764000000003,71961.759999999995,81609.86,93867.573999999993,106797.29399999999,117251.584,129279.11900000001,140749,152414,164147,184152.114,202671.886,2018,164147000000000]
["Latvia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1995 Primary domestic currency: Euro Data last updated: 03/2019",24.350999999999999,18.827000000000002,17.937999999999999,20.303000000000001,21.885999999999999,22.786999999999999,23.617999999999999,24.32,25.038,27.033000000000001,29.524000000000001,31.204999999999998,32.817999999999998,34.569000000000003,2018,31205000000]
["Lebanon","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. 2004-2014 Latest actual data: 2017. Data for 2004-2014 revised as per the latest data from the statistics office. National accounts manual used: System of National Accounts (SNA) 2008. Accounts were established according to the SNA 2008 but with simplified model adapted to Lebanon. . GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010. Used by Fund staff (the authorities use 2010 as base year). Chain-weighted: Yes, from 2010 Primary domestic currency: Lebanese pound Data last updated: 03/2019",44060.521000000001,53482.027999999998,57917.587,60414.078999999998,66677.822,70651.369000000006,72806.37,75335.644,77242.868000000002,80491.153000000006,84981.266000000003,88287.178,91136.607999999993,95181.327999999994,2017,88287178000000]
["Lesotho","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2015/16. 2015/2016 is latest actual data Notes: The national accounts real values have been updated from 2015 onwards. Prior to 2015 the data has been adjusted to produce smooth series with the use of splicing technique. These estimates continue to serve as proxies for historical series when complete information is unavailable. National accounts manual used: System of National Accounts (SNA) 2008. The authorities produce estimates of GDP on the basis of sectoral production GDP valuation: Market prices Start/end months of reporting year: April/March. Observations for NGDP_R[12/13] and NGDP[12/13] are saved in DMX in year 2012 Base year: 2012/13. 2012/2013 is base year Chain-weighted: No Primary domestic currency: Lesotho loti Data last updated: 01/2019",15.544,16.225999999999999,18.161999999999999,20.681000000000001,22.59,25.385000000000002,29.143000000000001,32.06,34.058999999999997,34.796999999999997,37.524999999999999,40.779000000000003,43.194000000000003,47.16,2017,40779000000]
["Liberia","Gross domestic product, current prices","National currency","Billions","Source: Central Bank of Liberia Latest actual data: 2017 Notes: Real GDP are in billions of U.S. dollars. The National Accounts data are staff estimates and are based on the preliminary results of the 2016 Household Income and Expenditure Survey, and of an ongoing STA technical assistance on National Accounts. The pre-2016 data were spliced with a constant ratio. These staff estimates will be replaced once official data become available. National accounts manual used: System of National Accounts (SNA) 1993. The National Accounts data are staff estimates and are based on the preliminary results of the 2016 Household Income and Expenditure Survey, and of an ongoing STA technical assistance on National Accounts. The pre-2016 data were spliced with a constant ratio. These staff estimates will be replaced once official data become available. GDP valuation: Market prices. Official data reported in billions of U.S. dollars. Start/end months of reporting year: January/December Base year: 1992 Chain-weighted: No Primary domestic currency: U.S. dollars Data last updated: 02/2019",1.726,1.768,1.998,2.3980000000000001,2.7210000000000001,3.0649999999999999,3.137,3.1629999999999998,3.2770000000000001,3.2839999999999998,3.2480000000000002,3.222,3.2309999999999999,3.2789999999999999,2018,3222000000]
["Libya","Gross domestic product, current prices","National currency","Billions","Source: Ministry of Planning . Latest actual data: 2016 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices. Compiled using the 1968 System of National Accounts (SNA) methodology. Start/end months of reporting year: January/December Base year: 2003 Chain-weighted: No Primary domestic currency: Libyan dinar Data last updated: 02/2019",90.344999999999999,63.689,87.375,39.170999999999999,100.627,65.994,30.870999999999999,23.748000000000001,25.753,42.334000000000003,56.734000000000002,45.744,47.21,48.493000000000002,2017,45744000000]
["Lithuania","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Data from Statistics Lithuania: http://www.stat.gov.lt/en/ Latest actual data: 2018 Notes: Data prior to 1995 cannot be confirmed by national sources at this time. National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 2005 Primary domestic currency: European euro Data last updated: 03/2019",32.695999999999998,26.934999999999999,28.027999999999999,31.274999999999999,33.347999999999999,34.96,36.567999999999998,37.433999999999997,38.848999999999997,42.191000000000003,45.113999999999997,47.762,50.18,52.588999999999999,2018,47762000000]
["Luxembourg","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1995. The Luxembourg statistics office (STATEC) publishes the national accounts data starting from 2000 only. Previously, the same data were published from 1995, but when the authorities moved to the ESA 2010 standard, the historical data were only revised back to 2000. Primary domestic currency: Euro Data last updated: 03/2019",38.128999999999998,36.975999999999999,40.177999999999997,43.164999999999999,44.112000000000002,46.499000000000002,49.823999999999998,51.579000000000001,53.302999999999997,55.298999999999999,58.869,61.554000000000002,64.39,67.254000000000005,2018,61554000000]
["Macao SAR","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2016 Chain-weighted: Yes, from 2001 Primary domestic currency: Macanese pataca",167.76,171.46700000000001,225.05199999999999,294.34699999999998,343.81799999999998,411.86500000000001,442.07,362.214,362.35500000000002,405.79,440.31599999999997,445.32799999999997,449.70400000000001,456.69499999999999,2018,445328000000]
["Madagascar","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016. 2017 is prelim data National accounts manual used: 1968 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2000 Chain-weighted: No Primary domestic currency: Malagasy ariary Data last updated: 03/2019",16080.92,16726.21,18245.21,20033.849999999999,21773.57,23397.03,25774.51,28462.639999999999,32166.1,35721.807999999997,40318.493999999999,45246.983999999997,50628.214999999997,56294.974000000002,2017,45246984000000]
["Malawi","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2011. Since 2011 we have used IMF staff?s and Malawian authorities? combined estimates for National Accounts data. National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Malawi kwacha Data last updated: 02/2019",747.72299999999996,873.98199999999997,1047.336,1252.75,1501.7329999999999,2011.12,2569.6909999999998,3198.5610000000001,3943.2260000000001,4549.7219999999998,5053.018,5666.7969999999996,6407.2979999999998,7196.2259999999997,2011,5666797000000]
["Malaysia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. From Department of Statistics Malaysia (DOS) downloaded via CEIC Latest actual data: 2018 Notes: GDP was rebased by the National Statistical Office, new base year is 2010. The official series starts in 2010. Data prior to that is spliced based on the old series. National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010. Data prior to 2010 are spliced by the country team. Chain-weighted: No Primary domestic currency: Malaysian ringgit Data last updated: 02/2019",806.48,746.67899999999997,833.10400000000004,924.68499999999995,985.04899999999998,1033.085,1122.1600000000001,1176.941,1249.6969999999999,1371.6489999999999,1446.914,1526.749,1613.8630000000001,1730.4970000000001,2018,1526749000000]
["Maldives","Gross domestic product, current prices","National currency","Billions","Source: Ministry of Finance or Treasury. National Bureau of Statistics Latest actual data: 2017. The last two years are estimated figures National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices. Production-based measure. Start/end months of reporting year: January/December Base year: 2014 Chain-weighted: No Primary domestic currency: Maldivian rufiyaa Data last updated: 02/2019",29.077000000000002,30.02,33.128999999999998,40.511000000000003,44.344999999999999,50.633000000000003,56.866999999999997,63.146999999999998,67.837000000000003,74.866,82.100999999999999,89.158000000000001,96.816999999999993,104.706,2018,89158000000]
["Mali","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016 Notes: National accounts have new methodology starting in 1990. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 1999 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 03/2019",4387.9279999999999,4812.0249999999996,5288.9390000000003,6123.9290000000001,6352.36,6540.56,7093.0330000000004,7747.73,8308.3940000000002,8927.9989999999998,9538.2000000000007,10259.367,11006.028,11737.358,2018,10259367000000]
["Malta","Gross domestic product, current prices","National currency","Billions","Source: Haver Analytics. Eurostat Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 2000 Primary domestic currency: Euro Data last updated: 03/2019",6.1289999999999996,6.1390000000000002,6.6,6.8319999999999999,7.1680000000000001,7.6449999999999996,8.5079999999999991,9.6579999999999995,10.347,11.303000000000001,12.324,13.231,14.09,14.920999999999999,2018,13231000000]
["Marshall Islands","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016/17 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: October/September Base year: 2003/04. Base year is Fiscal Year 2004 (Calendar Year 2003/2004). Chain-weighted: No Primary domestic currency: U.S. dollar Data last updated: 03/2019",0.155,0.155,0.16800000000000001,0.17599999999999999,0.187,0.192,0.185,0.18099999999999999,0.19800000000000001,0.20799999999999999,0.214,0.22,0.22800000000000001,0.23599999999999999,2017,220000000]
["Mauritania","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2014 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2004 Chain-weighted: No Primary domestic currency: Mauritanian ouguiya Data last updated: 03/2019",96.021000000000001,96.085999999999999,119.67700000000001,145.23500000000001,155.16999999999999,169.57900000000001,162.648,156.45599999999999,164.71299999999999,175.63,186.89,209.184,228.61,253.328,2014,209184000000]
["Mauritius","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 Notes: Figures for exports and imports of services are not equal to those compiled by the BOM, due to the difference in sectoral coverage and the treatment of FISIM by CSO and BOM. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: Yes, from 1999 Primary domestic currency: Mauritian rupee Data last updated: 03/2019",284.25400000000002,291.75599999999997,307.95699999999999,330.64699999999999,350.64400000000001,372.39699999999999,392.06200000000001,409.89299999999997,434.76499999999999,457.20100000000002,482.21,506.928,540.55499999999995,578.65300000000002,2018,506928000000]
["Mexico","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2013 Chain-weighted: No Primary domestic currency: Mexican peso Data last updated: 03/2019",12353.844999999999,12162.763000000001,13366.377,14665.575999999999,15817.754999999999,16277.187,17473.842000000001,18551.458999999999,20118.100999999999,21897.091,23517.608,24455.948,25553.978999999999,26827.337,2018,24455948000000]
["Micronesia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016/17 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: October/September Base year: 2004 Chain-weighted: No Primary domestic currency: U.S. dollar Data last updated: 03/2019",0.26300000000000001,0.28000000000000003,0.29699999999999999,0.311,0.32600000000000001,0.316,0.318,0.315,0.33100000000000002,0.36299999999999999,0.372,0.38100000000000001,0.39100000000000001,0.40200000000000002,2018,381000000]
["Moldova","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 Notes: National accounts data from 2010 onwards sourced from the January 2019 update by the National Bureau of Statistics. National accounts data prior to 2010 haven been backspliced by IMF staff using the dataset available prior to June 2018. National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Moldovan leu Data last updated: 02/2019",75.516999999999996,72.527000000000001,86.275000000000006,98.772999999999996,105.48,119.533,133.482,145.75399999999999,160.815,178.881,190.01599999999999,207.3,226.833,247.226,2018,207300000000]
["Mongolia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Discrepancies rise from staff estimates based on the balance of payment data and the authorities' data on net exports at constant price. Latest actual data: 2016 Notes: Data prior to 1991 cannot be confirmed by national sources. Data after 2000 has been rebased National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Mongolian togrog Data last updated: 03/2019",6555.5690000000004,6590.6369999999997,9756.5879999999997,13173.763000000001,16688.419999999998,19174.242999999999,22227.054,23150.385999999999,23942.866000000002,27876.296999999999,32093.615000000002,37128.917000000001,42092.328000000001,47531.112000000001,2016,37128917000000]
["Montenegro","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. MONSTAT Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: No Primary domestic currency: Euro Data last updated: 03/2019",3.1030000000000002,2.9940000000000002,3.125,3.2650000000000001,3.181,3.3620000000000001,3.4580000000000002,3.6549999999999998,3.9540000000000002,4.2990000000000004,4.6189999999999998,4.8070000000000004,5.0149999999999997,5.2469999999999999,2018,4807000000]
["Morocco","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2007 Chain-weighted: Yes, from 2007 Primary domestic currency: Moroccan dirham Data last updated: 03/2019",716.95899999999995,748.48299999999995,784.62400000000002,820.077,847.88099999999997,897.923,925.37599999999998,987.95,1013.559,1063.297,1112.568,1151.826,1206.713,1279.0809999999999,2018,1151826000000]
["Mozambique","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Instituto Nacional de Estadistica (INE). Latest actual data: 2017 Notes: Data prior to 1992 cannot be confirmed by national sources at this time. National accounts manual used: System of National Accounts (SNA) 1993. Authorities have incorporated certain aspects of the 2008 SNA manual. GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2009 Chain-weighted: No Primary domestic currency: Mozambican metical Data last updated: 02/2019",279.33100000000002,300.27,344.839,381.69200000000001,433.12200000000001,482.233,531.77700000000004,591.67899999999997,687.11599999999999,804.46400000000006,876.46500000000003,946.28899999999999,1083.5039999999999,1197.8420000000001,2018,946289000000]
["Myanmar","Gross domestic product, current prices","National currency","Billions","Source: Ministry of National Planning and Economic Development. Historical data up to 2017 have been re-estimated by IMF staff to ensure data consistency after the change of fiscal year from April-March to October-September. Latest actual data: 2017/18 National accounts manual used: Other GDP valuation: Market prices Data refer to fiscal years Start/end months of reporting year: October/September In 2018 Myanmar authorities changed the fiscal year to 1 October to 30 September from previously 1 April to 31 March. Historical data up to 2017 have been re-estimated by IMF staff to ensure data consistency.  Base year: 2010/11 Chain-weighted: No Primary domestic currency: Myanmar kyat Data last updated: 05/2019",28668.308000000001,34000.504000000001,38767.718999999997,43042.326000000001,48783.574000000001,54636.006999999998,61637.322,68987.945000000007,74265.404999999999,82541.751999999993,94893.426000000007,104458.266,118706.704,134994.005,2018,104458266000000]
["Namibia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2000 Chain-weighted: No Primary domestic currency: Namibia dollar Data last updated: 01/2019",70.111000000000004,75.213999999999999,82.599000000000004,90.108000000000004,106.864,122.792,138.76300000000001,150.083,166.006,180.60499999999999,192.13800000000001,200.32499999999999,214.00200000000001,230.51,2018,200325000000]
["Nauru","Gross domestic product, current prices","National currency","Billions","Source: Nauru Authorities, IMF staff estimates Latest actual data: 2015/16. Nauru Authorities, IMF staff estimates National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: July/June Base year: 2006/07 Chain-weighted: No Primary domestic currency: Australian dollar Data last updated: 01/2019",4.2000000000000003E-2,0.06,5.3999999999999999E-2,6.7000000000000004E-2,9.4E-2,9.6000000000000002E-2,0.114,0.104,0.13700000000000001,0.14499999999999999,0.14399999999999999,0.14799999999999999,0.152,0.157,2018,148000000]
["Nepal","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017/18 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices. Data refer to fiscal years Start/end months of reporting year: August/July. Fiscal year starts on July 16th, and ends July 15th the following year Base year: 2000/01. Data prior to 2000/01 were estimated by IMF staff by using data splicing Chain-weighted: No Primary domestic currency: Nepalese rupee Data last updated: 01/2019",815.65800000000002,988.27200000000005,1192.7739999999999,1366.954,1527.3440000000001,1695.011,1964.54,2130.15,2253.163,2674.4929999999999,3031.0340000000001,3464.319,3906.1190000000001,4378.9560000000001,2019,3464319000000]
["Netherlands","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: ESA 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2015 Chain-weighted: Yes, from 1980 Primary domestic currency: Euro Data last updated: 03/2019",647.19799999999998,624.84199999999998,639.18700000000001,650.35900000000004,652.96600000000001,660.46299999999997,671.56,690.00800000000004,708.33699999999999,738.14599999999996,774.03899999999999,803.46,830.88300000000004,857.89599999999996,2018,803460000000]
["New Zealand","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Statistics New Zealand Latest actual data: 2017. Authorities' actual annual data are April/March recalculated using quarterly data as Jan/Dec National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices. Data refer to calendar years Start/end months of reporting year: January/December. January/December annual data calculated from quarterly data consistent with authorities' actual April/March annual data Base year: 2009/10. The base year is 2009Q2 to 2010Q1 Chain-weighted: Yes, from 1987 Primary domestic currency: New Zealand dollar Data last updated: 03/2019",189.666,191.964,201.45699999999999,211.22300000000001,215.97,227.87700000000001,240.42699999999999,250.48,265.52,282.01499999999999,293.13299999999998,304.85199999999998,319.81599999999997,335.95,2018,304852000000]
["Nicaragua","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2017 Notes: Due to political and economic events (civil war and hyperinflation) data prior to 1995 are less reliable. National accounts manual used: System of National Accounts (SNA) 1993. In 2012 Nicaragua officially changed the base year of the national accounts from 1994 to 2006. In 2003 Nicaragua officially changed the base year of the national accounts from 1980 to 1994 and adopted the United Nations System of National Accounts (SNA93) for the calculation of GDP. Methodology described in: http://www.bcn.gob.ni/publicaciones/eventuales/pib_trimestral/PIB_Trimestral.pdf GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: Yes, from 1994. annual overlap Primary domestic currency: Nicaraguan córdoba Data last updated: 03/2019",164.602,168.791,187.053,219.18199999999999,247.994,271.52999999999997,308.40300000000002,347.70699999999999,380.26100000000002,416.01299999999998,413.911,415.15300000000002,429.07799999999997,448.65300000000002,2018,415153000000]
["Niger","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Factor costs Start/end months of reporting year: January/December Base year: 2000 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 03/2019",2419.6559999999999,2548.4470000000001,2832.2860000000001,3024.27,3544.1860000000001,3788.2750000000001,4069.1640000000002,4288.7879999999996,4510.9009999999998,4726.4399999999996,5162.7860000000001,5416.6970000000001,5871.7659999999996,6328.15,2018,5416697000000]
["Nigeria","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Official re-based (2010) data for 2010-13 was published in July 2014, based on SNA 2008. Official backcasted data were published in July 2016 and 1990-2009 nominal and real GDP numbers were updated. However expenditure components of GDP are still IMF staff estimates and are subject to revision with official backcasted data. Latest actual data: 2018 Notes: Official backcasted data were published in July 2016 and 1990-2009 nominal and real GDP numbers were updated. However expenditure components of GDP are still IMF staff estimates and are subject to revision with official backcasted data. National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010. from October WEO submission Chain-weighted: No Primary domestic currency: Nigerian naira Data last updated: 03/2019",39157.883999999998,44285.561000000002,55469.351000000002,63713.360999999997,72599.630999999994,81009.964999999997,90136.985000000001,95177.736000000004,102575.41899999999,114899.251,129086.908,145126.52100000001,160819.60999999999,178772.68400000001,2018,145126521000000]
["North Macedonia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: No Primary domestic currency: Macedonian denar Data last updated: 03/2019",414.89,414.62200000000001,437.29700000000003,464.18599999999998,466.70299999999997,501.89100000000002,527.63099999999997,558.95399999999995,594.79399999999998,616.59900000000005,660.30799999999999,694.73699999999997,732.69299999999998,771.56500000000005,2018,694737000000]
["Norway","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: Nominally ESA 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2016 Chain-weighted: Yes, from 1980 Primary domestic currency: Norwegian krone Data last updated: 03/2019",2607.0909999999999,2428.4810000000002,2591.4789999999998,2792.683,2964.0520000000001,3071.2249999999999,3140.8139999999999,3111.1689999999999,3098.1489999999999,3295.3809999999999,3530.86,3656.5680000000002,3815.1849999999999,3945.6970000000001,2018,3656568000000]
["Oman","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Omani rial Data last updated: 02/2019",23.417999999999999,18.605,21.934999999999999,26.152999999999999,29.459,30.292999999999999,31.173999999999999,26.5,25.177,27.145,30.481999999999999,29.456,30.244,31.491,2018,{"$f":"Q133*1000000000","v":29456000000}]
["Pakistan","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017/18 National accounts manual used: Combination of SNA 1968 and SNA 1993, SNA 2008 GDP valuation: Real GDP is based on factor costs whereas nominal GDP is based on market prices. Start/end months of reporting year: July/June Base year: 2005/06. Data before 2006 were extended backwards using growth rates for overall GDP and expenditure component shares of the original series. Real GDP is based on factor costs whereas nominal GDP is based on market prices. As a result, any calculated GDP deflator using these the two different concepts will not be accurate. Chain-weighted: No Primary domestic currency: Pakistan rupee Data last updated: 03/2019",10637.772000000001,13199.707,14866.995999999999,18276.439999999999,20046.5,22385.656999999999,25168.805,27443.022000000001,29075.633000000002,31922.303,34618.576000000001,38558.769,44513.599999999999,50391.898999999998,2018,38558769000000]
["Palau","Gross domestic product, current prices","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2016/17 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: October/September Base year: 2014/15 Chain-weighted: No Primary domestic currency: U.S. dollar Data last updated: 02/2019",0.19800000000000001,0.183,0.183,0.193,0.21099999999999999,0.223,0.24299999999999999,0.28000000000000003,0.3,0.28599999999999998,0.28399999999999997,0.29099999999999998,0.30199999999999999,0.314,2018,291000000]
["Panama","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2007. The 2007 base year publication is labelled \"preliminary\"; revisions are expected in the future. The deflator in base year 2007 is not exactly 100 because of data splicing (based on recently released data for the last three years only) Chain-weighted: Yes, from 2007 Primary domestic currency: U.S. dollar Data last updated: 02/2019",25.155999999999999,27.117000000000001,29.44,34.686,40.43,45.6,49.920999999999999,54.091999999999999,57.957999999999998,62.283999999999999,65.055000000000007,68.536000000000001,73.369,78.888000000000005,2018,68536000000]
["Papua New Guinea","Gross domestic product, current prices","National currency","Billions","Source: National Statistical Office and MOF Latest actual data: 2015 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2013 Chain-weighted: No Primary domestic currency: Papua New Guinea kina Data last updated: 01/2019",31.512,32.012999999999998,38.752000000000002,42.642000000000003,44.372,47.720999999999997,57.131,60.139000000000003,65.037999999999997,71.207999999999998,76.025000000000006,80.173000000000002,83.292000000000002,87.48,2015,80173000000]
["Paraguay","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2017 Notes: Before 2008, GDP data were constructed backward using the new 2014 base year. National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2014 Chain-weighted: No Primary domestic currency: Paraguayan guaraní Data last updated: 03/2019",107235.745,110962.163,128989.495,141315.79999999999,147275.54199999999,166714.587,179721.609,188230.723,204447.27799999999,219188.41699999999,239909.69,250910.52600000001,273464.45500000002,297025.77299999999,2018,250910526000000]
["Peru","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2007 Chain-weighted: No Primary domestic currency: Peruvian nuevo sol Data last updated: 03/2019",356.13099999999997,365.85199999999998,420.73700000000002,470.923,508.71699999999998,546.125,574.30100000000004,609.36400000000003,656.16800000000001,698.43700000000001,740.80600000000004,775.23500000000001,818.61500000000001,869.57899999999995,2018,775235000000]
["Philippines","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. National Statistical Coordination; accessed via CEIC and Haver Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2000 Chain-weighted: No Primary domestic currency: Philippine peso Data last updated: 02/2019",7720.9030000000002,8026.143,9003.48,9708.3320000000003,10561.089,11538.41,12634.187,13322.040999999999,14480.349,15807.596,17426.202000000001,18732.744999999999,20439.580000000002,22422.956999999999,2018,18732745000000]
["Poland","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 Notes: Data prior to 1995 cannot be confirmed by national sources at this time. National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 2010 Primary domestic currency: Polish zloty Data last updated: 03/2019",1286.069,1372.2080000000001,1445.298,1566.8240000000001,1629.425,1656.896,1720.43,1800.2280000000001,1861.1120000000001,1989.3140000000001,2115.672,2256.7040000000002,2400.5990000000002,2536.9830000000002,2018,2256704000000]
["Portugal","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2011 Chain-weighted: Yes, from 1980 Primary domestic currency: Euro Data last updated: 03/2019",179.10300000000001,175.417,179.61099999999999,176.096,168.29599999999999,170.49199999999999,173.054,179.71299999999999,186.49,195.947,203.89599999999999,210.499,217.07499999999999,223.636,2018,210499000000]
["Puerto Rico","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Puerto Rico Planning Board Latest actual data: 2016/17 National accounts manual used: System of National Accounts 1968 GDP valuation: Market prices Start/end months of reporting year: July/June Base year: 1954 Chain-weighted: No Primary domestic currency: U.S. dollar Data last updated: 02/2019",93.638999999999996,96.385999999999996,98.381,100.352,101.565,102.45,102.446,103.376,104.337,104.25,101.131,99.912999999999997,100.169,100.342,2018,99913000000]
["Qatar","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Qatar Ministry of Development Planning and Statistics (from 2010); Haver and IMF staff estimates (pre-2010). Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2013 Chain-weighted: No Primary domestic currency: Qatari riyal Data last updated: 03/2019",419.58300000000003,355.98599999999999,455.44499999999999,610.702,680.07399999999996,723.36900000000003,750.65800000000002,588.73299999999995,552.30499999999995,607.62099999999998,696.55700000000002,698.33,710.61800000000005,730.69500000000005,2018,698330000000]
["Romania","Gross domestic product, current prices","National currency","Billions","Source: Haver Analytics. Source: Eurostat and National Institute of Statistics. Minor differences between National Statistical Office and Eurostat. Latest actual data: 2018 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 2000 Primary domestic currency: Romanian leu Data last updated: 02/2019",539.83500000000004,530.89400000000001,528.24699999999996,559.245,593.74300000000005,635.45899999999995,668.59,712.58799999999997,765.13499999999999,856.72699999999998,944.22,1027.5340000000001,1096.673,1167.3150000000001,2018,1027534000000.0001]
["Russian Federation","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 Notes: Gross capital formation includes statistical discrepancy. National accounts manual used: System of National Accounts (SNA) 2008. SNA 2008 for 2014 and combination of SNA 1993/2008 for 2011-2013. Prior to 2011 SNA 1993. GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2016. The discrepancy in historical national account comes from source data which recently got rebased. In the new methodology they rebased all the components of GDP prior to Q1 2016 by using the growth rates of the old series in 2011 prices. Chain-weighted: Yes, from 1995 Primary domestic currency: Russian ruble Data last updated: 03/2019",44271.22,41622.36,49667.99,60175.02,68042.37,73003.509999999995,79058.5,83094.3,86014.2,92101.3,103875.8,109097.432,114645.32399999999,121662.10400000001,2018,109097432000000]
["Rwanda","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2014 Chain-weighted: No Primary domestic currency: Rwandan franc Data last updated: 03/2019",2693,3097,3411,3990,4564,4929,5466,5968,6672,7600,8189,9199.39,10441.768,11866.236000000001,2018,9199390000000]
["Samoa","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016/17. Fiscal year used Notes: Data prior to 2000 cannot be confirmed by national sources at this time. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices. Data refer to fiscal years Start/end months of reporting year: July/June Base year: 2009/10 Chain-weighted: No Primary domestic currency: Samoan tala Data last updated: 01/2019",1.696,1.6679999999999999,1.621,1.7649999999999999,1.843,1.839,1.8660000000000001,1.9490000000000001,2.0550000000000002,2.133,2.2130000000000001,2.3540000000000001,2.5230000000000001,2.6459999999999999,2018,2354000000]
["San Marino","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2007 Chain-weighted: No Primary domestic currency: Euro Data last updated: 03/2019",1.6339999999999999,1.48,1.419,1.3029999999999999,1.2490000000000001,1.264,1.26,1.2789999999999999,1.327,1.353,1.387,1.4159999999999999,1.4470000000000001,1.4770000000000001,2017,1416000000]
["Sao Tome and Principe","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Instituto Nacional de Estatistica de Sao Tome & Principe. Latest actual data: 2017 Notes: There is a break in the series for 2001 onwards due to revision in GDP data. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2008. Previously it was 2000. Manual revision to 2000 to smooth the series since the authorities did not splice and provide 2000. The rebased series begins in 2001 Chain-weighted: No Primary domestic currency: São Tomé and Príncipe dobra Data last updated: 03/2019",2.7629999999999999,3.044,3.653,4.1100000000000003,4.8159999999999998,5.5890000000000004,6.444,7.0309999999999997,7.6980000000000004,8.1539999999999999,8.7629999999999999,9.3330000000000002,9.9969999999999999,10.709,2017,9333000000]
["Saudi Arabia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Central Department of Statistics and Information (CDSI), Ministry of Economy and Planning. Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Factor costs Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Saudi Arabian riyal Data last updated: 02/2019",1949.2380000000001,1609.117,1980.777,2517.1460000000002,2759.9059999999999,2799.9270000000001,2836.3139999999999,2453.5120000000002,2418.5079999999998,2582.1979999999999,2949.4580000000001,2922.335,2937.5120000000002,3001.1410000000001,2018,2922335000000]
["Senegal","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2014 Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 02/2019",7590.2060000000001,7672.1840000000002,8030.951,8436.39,9100.3590000000004,9367.0879999999997,9775.0390000000007,10508.65,11283.396000000001,12158.933000000001,13046.065000000001,13982.67,15085.063,16420.572,2018,13982670000000]
["Serbia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Statistical Office of the Republic of Serbia Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010. National Accounts are based on conceptual framework of the 2008 SNA/ESA 2010 (introduced in October 2014). GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 2010 Primary domestic currency: Serbian dinar Data last updated: 03/2019",2908.4450000000002,3052.136,3250.5810000000001,3612.2669999999998,3810.058,4121.2,4160.549,4312.0379999999996,4521.2650000000003,4754.3689999999997,5059.7269999999999,5407.6679999999997,5808.9049999999997,6247.9120000000003,2018,5407668000000]
["Seychelles","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: No Primary domestic currency: Seychelles rupee Data last updated: 02/2019",9.1470000000000002,11.532999999999999,11.705,12.609,14.519,16.015000000000001,17.119,18.34,19.013999999999999,20.515000000000001,22.018999999999998,23.198,24.381,26.073,2017,23198000000]
["Sierra Leone","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: Yes, from 2010 Primary domestic currency: Sierra Leonean leone Data last updated: 02/2019",7470.5450000000001,8308.2939999999999,10255.614,12797.213,16514.295999999998,21317.382000000001,22689.451000000001,21583.300999999999,24296.286,27465.429,32401.626,37927.237999999998,44454.887999999999,51409.62,2017,37927238000000]
["Singapore","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008. Singapore has adopted the major recommendations of the 2008 SNA GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Singapore dollar Data last updated: 03/2019",273.94200000000001,282.39499999999998,326.98,351.36799999999999,368.77100000000002,384.87,398.94799999999998,423.44400000000002,439.41199999999998,467.30599999999998,491.17500000000001,498.084,507.988,522.52300000000002,2018,498084000000]
["Slovak Republic","Gross domestic product, current prices","National currency","Billions","Source: Haver Analytics. Eurostat Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1997 Primary domestic currency: Euro Data last updated: 02/2019",68.492000000000004,64.022999999999996,67.576999999999998,70.626999999999995,72.703999999999994,74.17,76.087999999999994,79.138000000000005,81.225999999999999,84.850999999999999,90.201999999999998,94.875,99.844999999999999,104.965,2018,94875000000]
["Slovenia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 2000 Primary domestic currency: Euro Data last updated: 03/2019",37.926000000000002,36.255000000000003,36.363999999999997,37.058999999999997,36.253,36.454000000000001,37.634,38.853000000000002,40.366999999999997,42.987000000000002,45.755000000000003,48.219000000000001,50.741,53.247,2018,48219000000]
["Solomon Islands","Gross domestic product, current prices","National currency","Billions","Source: Central Bank. For data prior to 1990, the source is IMF staff estimates. Latest actual data: 2016 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices. The data for 2004 to 2006 are provided by the country authorities. For 2007 and onwards, real GDP is estimated by the staff, based on sectoral growth information provided by the Central Bank of Solomon Islands. Start/end months of reporting year: January/December Base year: 2004 Chain-weighted: No Primary domestic currency: Solomon Islands dollar Data last updated: 01/2019",4.7130000000000001,4.8150000000000004,5.4930000000000003,7.1269999999999998,7.8250000000000002,8.25,8.6460000000000008,9.1389999999999993,9.7799999999999994,10.308999999999999,11.019,11.709,12.454000000000001,13.305,2018,11709000000]
["Somalia","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2016 National accounts manual used: SNA 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2012 Chain-weighted: No Primary domestic currency: Somali shilling Data last updated: 02/2019","n/a","n/a","n/a",3.4990000000000001,3.6110000000000002,3.8919999999999999,3.964,4.0490000000000004,4.1980000000000004,4.5090000000000003,4.7210000000000001,4.9580000000000002,5.218,5.5069999999999997,2018,4958000000]
["South Africa","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: South African rand Data last updated: 03/2019",2369.0630000000001,2507.6770000000001,2748.009,3023.6590000000001,3253.8519999999999,3539.9769999999999,3805.3490000000002,4049.8829999999998,4359.0600000000004,4653.5780000000004,4873.8990000000003,5120.8530000000001,5443.6639999999998,5814.6570000000002,2018,5120853000000]
["South Sudan","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. National Bureau of Statistics Latest actual data: 2017 Notes: Preliminary results by NBS, will be revised with time. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: South Sudanese pound Data last updated: 03/2019","n/a","n/a","n/a",51.63,33.237000000000002,44.093000000000004,44.56,52.006,161.66999999999999,390.62400000000002,649.452,811.74199999999996,988.09699999999998,1120.3309999999999,2017,811742000000]
["Spain","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1995 Primary domestic currency: Euro Data last updated: 03/2019",1116.2249999999999,1079.0519999999999,1080.9349999999999,1070.4490000000001,1039.8150000000001,1025.693,1037.82,1081.165,1118.7429999999999,1166.319,1208.248,1244.6690000000001,1285.5160000000001,1329.03,2018,1244669000000]
["Sri Lanka","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Department of Census and Statistics Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010. Staff used splicing method for the historical series. Chain-weighted: No Primary domestic currency: Sri Lanka rupee Data last updated: 03/2019",5047.8450000000003,5533.7950000000001,6413.6679999999997,7219.1059999999998,8732.4629999999997,9592.125,10361.151,10950.620999999999,11996.084000000001,13418.288,14449.932000000001,15451.508,16717.113000000001,18299.789000000001,2018,15451508000000]
["St. Kitts and Nevis","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017. Estimates. Notes: Historical values for expenditure based GDP components are not reported by authorities and are estimated by IMF staff using data from balance of payments and fiscal accounts.  GDP expenditure component estimates prior 2014 have been removed due to internal inconsistencies arising from methodological changes to international trade estimates from the balance of payments applicable to data reported after 2014. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: No Primary domestic currency: Eastern Caribbean dollar Data last updated: 03/2019",2.028,2.0190000000000001,2.052,2.2080000000000002,2.1619999999999999,2.2669999999999999,2.2469999999999999,2.2999999999999998,2.4220000000000002,2.544,2.6459999999999999,2.7850000000000001,2.9340000000000002,3.077,2018,2785000000]
["St. Lucia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017. Estimates. Notes: Historical values for expenditure based GDP components are not reported by authorities and are estimated by IMF staff using data from balance of payments and fiscal accounts.  GDP expenditure component estimates prior 2014 have been removed due to internal inconsistencies arising from methodological changes to international trade estimates from the balance of payments applicable to data reported after 2014. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: No Primary domestic currency: Eastern Caribbean dollar Data last updated: 03/2019",3.4740000000000002,3.4550000000000001,3.7810000000000001,3.9039999999999999,3.8879999999999999,4.0060000000000002,4.2089999999999996,4.4800000000000004,4.5940000000000003,4.9050000000000002,5.1890000000000001,5.3780000000000001,5.6769999999999996,5.9690000000000003,2018,5378000000]
["St. Vincent and the Grenadines","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017. Estimates. Notes: Historical values for expenditure based GDP components are not reported by authorities and are estimated by IMF staff using data from balance of payments and fiscal accounts.  GDP expenditure component estimates prior 2014 have been removed due to internal inconsistencies arising from methodological changes to international trade estimates from the balance of payments applicable to data reported after 2014. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Factor costs Start/end months of reporting year: January/December Base year: 2006. Nominal GDP is measured at market prices and real GDP is measured at factor cost, hence the GDP deflator is not equal to 100. Chain-weighted: No Primary domestic currency: Eastern Caribbean dollar Data last updated: 02/2019",1.8779999999999999,1.8220000000000001,1.839,1.825,1.871,1.9470000000000001,1.9650000000000001,2.04,2.0910000000000002,2.1389999999999998,2.1909999999999998,2.3109999999999999,2.4119999999999999,2.5179999999999998,2018,2311000000]
["Sudan","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Central Bureau of Statistics. Latest actual data: 2014. Substantial delay occurred in the regular production of national accounts data. National accounts manual used: SNA1968 GDP valuation: Factor costs Start/end months of reporting year: January/December Base year: 1982. Fiscal year and calendar year are the same. Chain-weighted: No Primary domestic currency: Sudanese pound Data last updated: 03/2019",135.512,134.215,170.99299999999999,209.071,225.798,314.07600000000002,440.7,512.096,637.04,832.649,1361.9490000000001,2013.2919999999999,3217.5059999999999,5316.83,2016,2013292000000]
["Suriname","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. IMF Staff reports, National Statistical Office, and IMF staff estimates. Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2007 Chain-weighted: No Primary domestic currency: Surinamese dollar Data last updated: 03/2019",9.6980000000000004,10.638,11.993,14.452,16.434000000000001,16.981000000000002,17.294,16.356999999999999,19.72,22.978000000000002,25.571999999999999,28.492999999999999,32.176000000000002,34.713000000000001,2017,28493000000]
["Sweden","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. In June 2010, the authorities performed a major revision of historical time series data 1993-2009 which involved the introduction of new methods, improved source data and a further adjustment to recommendations from the European Union Latest actual data: 2018 National accounts manual used: ESA2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2017 Chain-weighted: Yes, from 1993 Primary domestic currency: Swedish krona Data last updated: 03/2019",3397.143,3330.277,3570.0929999999998,3719.1379999999999,3732.5390000000002,3808.3139999999999,3980.9659999999999,4248.2129999999997,4415.799,4621.0460000000003,4833.6719999999996,4994.5630000000001,5159.2920000000004,5349.3620000000001,2018,4994563000000]
["Switzerland","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: Yes, from 1980 Primary domestic currency: Swiss franc Data last updated: 03/2019",599.84100000000001,589.35299999999995,608.07100000000003,621.33299999999997,626.27200000000005,638.38499999999999,649.99199999999996,654.15800000000002,661.59299999999996,669.61900000000003,689.94100000000003,707.43799999999999,723.93700000000001,742.15499999999997,2017,707438000000]
["Syrian Arab Republic","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Central Bureau of Statistics. Latest actual data: 2010 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2000 Chain-weighted: No Primary domestic currency: Syrian pound Data last updated: 08/2015",2448.06,2520.7049999999999,2791.7750000000001,"n/a","n/a","n/a","n/a","n/a","n/a","n/a","n/a","n/a","n/a","n/a",2010,{"$error":"#VALUE!"}]
["Taiwan, China","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Data retrieved from CEIC Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices. Expenditure-based measure Start/end months of reporting year: January/December Base year: 2011. Rebased from 2006 to 2011. Chain-weighted: No Primary domestic currency: New Taiwan dollar Data last updated: 03/2019",13150.95,12961.656000000001,14119.213,14312.2,14686.916999999999,15230.739,16111.867,16770.670999999998,17176.3,17501.181,17793.138999999999,18241.428,18619.794000000002,19128.375,2018,18241428000000]
["Tajikistan","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 1995 Chain-weighted: No Primary domestic currency: Tajik somoni Data last updated: 02/2019",17.609000000000002,20.623000000000001,24.704999999999998,30.068999999999999,36.161000000000001,40.524999999999999,45.604999999999997,48.402000000000001,54.470999999999997,61.093000000000004,68.843999999999994,77.704999999999998,86.674999999999997,96.228999999999999,2017,77705000000]
["Tanzania","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2015 Chain-weighted: No Primary domestic currency: Tanzanian shilling Data last updated: 02/2019",33236.644,38269.962,44467.108,53522.182999999997,62318.659,72977.2,82603.387000000002,94349.316000000006,108362.32399999999,118744.49800000001,129364.353,143683.79300000001,159265.59,176963.071,2018,143683793000000]
["Thailand","Gross domestic product, current prices","National currency","Billions","Source: National Economic and Social Development Board Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2002 Chain-weighted: Yes, from 1993. Ratio splicing for years before 1993 Primary domestic currency: Thai baht Data last updated: 03/2019",9706.9290000000001,9658.6669999999995,10808.145,11306.906000000001,12357.342000000001,12915.157999999999,13230.300999999999,13743.463,14554.571,15451.955,16318.032999999999,16922.018,17536.039000000001,18356.028999999999,2018,16922018000000]
["Timor-Leste","Gross domestic product, current prices","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2016 Notes: Real GDP and its growth are based on non-oil output, while real GDP per capita and all other aggregations are based on oil and non-oil output. Nominal GDP is based on oil and non-oil output. National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2015 Chain-weighted: No Primary domestic currency: U.S. dollar Data last updated: 03/2019",4.391,3.2,3.9990000000000001,5.6719999999999997,6.6619999999999999,5.6379999999999999,4.0419999999999998,3.093,2.504,2.4870000000000001,2.746,2.9380000000000002,3.1320000000000001,3.0619999999999998,2017,2938000000]
["Togo","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2016 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2007. for the GDP deflator, there is a little discrepancy Chain-weighted: No Primary domestic currency: CFA franc Data last updated: 01/2019",1482.36,1589.2429999999999,1696.83,1824.8910000000001,1977.5419999999999,2134.4639999999999,2259.047,2471.777,2649.3739999999998,2788.6080000000002,2974.9789999999998,3198.6170000000002,3469.1880000000001,3766.578,2016,3198617000000]
["Tonga","Gross domestic product, current prices","National currency","Billions","Source: Central Bank. National Reserve Bank of Tonga Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010. Authority has revised the base year to FY2010/11, but we submit data as of calendar year which refers to the average of two fiscal years (July/June). For example, CY2010 is the average of fiscal years 2009/10 and 2010/11. Chain-weighted: No Primary domestic currency: Tongan pa?anga Data last updated: 01/2019",0.66400000000000003,0.68799999999999994,0.74399999999999999,0.78700000000000003,0.79,0.79300000000000004,0.82199999999999995,0.86899999999999999,0.95299999999999996,1.036,1.073,1.117,1.1830000000000001,1.242,2018,1117000000]
["Trinidad and Tobago","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 Notes: Trinidad and Tobago?s growth estimates for 2018 are based on full-year energy sector data from the Ministry of Energy and Ministry of Finance, preliminary national accounts data for the first 3 quarters of the year from the Central Statistical Office, and staff projections for the fourth quarter nonenergy output based on available information. Growth estimates are subject to revision once the finalized data for the full year become available. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2012 Chain-weighted: No Primary domestic currency: Trinidad and Tobago dollar Data last updated: 03/2019",177.31899999999999,123.461,143.589,165.292,165.68600000000001,174.661,176.10900000000001,160.21,145.02699999999999,150.84700000000001,152.51,153.06899999999999,157.43,163.65,2017,153069000000]
["Tunisia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010. Yes, from 2010 Chain-weighted: Yes, from 2009 Primary domestic currency: Tunisian dinar Data last updated: 03/2019",55.273000000000003,58.677,63.055,64.492000000000004,70.353999999999999,75.144000000000005,80.866,84.647999999999996,89.792000000000002,96.325000000000003,105.59699999999999,114.258,124.036,134.137,2017,114258000000]
["Turkey","Gross domestic product, current prices","National currency","Billions","Source: Haver Analytics. Data from Turkish Statistical Institute (TurkStat) Latest actual data: 2018. For quarterly data, latest actual is 2018Q4. National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2009 Chain-weighted: Yes, from 2009 Primary domestic currency: Turkish lira Data last updated: 03/2019",994.78300000000002,999.19200000000001,1160.0139999999999,1394.4770000000001,1569.672,1809.713,2044.4659999999999,2338.6480000000001,2608.5259999999998,3110.65,3724.3879999999999,4272.53,4919.2169999999996,5656.308,2018,4272529999999.9995]
["Turkmenistan","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Turkmenistan authorities and IMF staff estimates and projections. Latest actual data: 2017 Notes: Data prior to 2009 cannot be confirmed by national sources at this time. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2008 Chain-weighted: Yes, from 2000 Primary domestic currency: New Turkmen manat Data last updated: 02/2019",49.47,57.610999999999997,64.361999999999995,83.314999999999998,100.218,111.71299999999999,124.044,125.29900000000001,126.63,132.74199999999999,142.66399999999999,163.36000000000001,189.791,212.27799999999999,2017,163360000000]
["Tuvalu","Gross domestic product, current prices","National currency","Billions","Source: PFTAC advisors Latest actual data: 2015 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: No Primary domestic currency: Australian dollar Data last updated: 01/2019",3.5999999999999997E-2,3.5000000000000003E-2,3.5000000000000003E-2,3.7999999999999999E-2,3.5999999999999997E-2,3.9E-2,4.1000000000000002E-2,4.7E-2,4.9000000000000002E-2,5.2999999999999999E-2,5.6000000000000001E-2,5.8999999999999997E-2,6.3E-2,6.9000000000000006E-2,2015,59000000]
["Uganda","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017. Historical data are in CY, but projections are conversions using averages of FY. For example, the projection of 2018 is the average of 2017/18 and 2018/19. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices. FY2013/14  growth estimates agreed upon between staff and the authorities at the time of the second PSI review do not coincide with projections from the Uganda Bureau of Statistics (UBOS). UBOS is to release preliminary outturns in October, 2014 Start/end months of reporting year: January/December Base year: 2010. National Accounts were rebased on a FY basis and this rebasing was then applied to CY historical data.  As a result real GDP and nominal GDP are not equal in CY 2010. Chain-weighted: No Primary domestic currency: Uganda shilling Data last updated: 03/2019",29727.058000000001,37725.146999999997,44012.101000000002,53248.925999999999,61580.207000000002,66508.167000000001,72896.388000000006,79803.951000000001,87404.72,96152.332999999999,105265.63,115952.678,128930.961,143735.69399999999,2018,115952678000000]
["Ukraine","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office. Formally, the State Statistics Service of Ukraine Latest actual data: 2017. Starting in 2014, the data was changed to SNA 2008. Revised National Accounts data is available from 2000 on an annual basis and from 2010 on a quarterly basis. The data excludes Crimea and Sevastopol from 2010.  The revised quarterly GDP data based on SNA 2008 excluding Crimea and Sevastopol are available from 2010. National accounts manual used: System of National Accounts (SNA) 2008. Also, SNA2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010. The reference year is 2010. Chain-weighted: Yes, from 2005 Primary domestic currency: Ukrainian hryvnia Data last updated: 03/2019",954.35599999999999,912.19,1079.346,1299.991,1404.6690000000001,1465.1980000000001,1586.915,1988.5440000000001,2385.3670000000002,2982.92,3558.7060000000001,4023.24,4487.5330000000004,4942.1009999999997,2018,4023240000000]
["United Arab Emirates","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Factor costs Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: U.A.E. dirham Data last updated: 02/2019",1158.5809999999999,931.15300000000002,1064.2439999999999,1287.8209999999999,1375.684,1432.67,1480.521,1315.251,1311.248,1387.107,1521.0719999999999,1490.1949999999999,1520.489,1567.434,2017,1490195000000]
["United Kingdom","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: European System of Accounts (ESA) 2010 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2016 Chain-weighted: Yes, from before 1980 Primary domestic currency: British pound Data last updated: 03/2019",1579.796,1537.213,1587.4659999999999,1644.546,1694.4169999999999,1761.347,1844.2950000000001,1895.8389999999999,1969.5239999999999,2049.6289999999999,2117.7240000000002,2184.924,2258.607,2337.152,2018,2184924000000]
["United States","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices. Real Gross Domestic Product determined by chained Fisher quantity growth rates. Start/end months of reporting year: January/December Base year: 2012 Chain-weighted: Yes, from 1980 Primary domestic currency: U.S. dollar Data last updated: 03/2019",14712.825000000001,14448.924999999999,14992.05,15542.6,16197.05,16784.825000000001,17527.275000000001,18224.775000000001,18715.05,19519.400000000001,20580.25,21439.453000000001,22321.761999999999,23180.282999999999,2018,21439453000000]
["Uruguay","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2017 Notes: Data for years between 1994 and last actual for this series are drawn from sources reported by national authorities.  Data prior to 1993 are drawn from previous surveillance work and reflect the staff's best effort to preserve previously reported data. National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2005 Chain-weighted: No Primary domestic currency: Uruguayan peso Data last updated: 03/2019",636.15099999999995,714.52300000000002,808.07899999999995,926.35599999999999,1041.211,1178.3320000000001,1330.508,1455.848,1589.1949999999999,1707.559,1831.1320000000001,2000.345,2198.2930000000001,2442.0749999999998,2018,2000345000000]
["Uzbekistan","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017. Latest data is for 2018 Q3 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2015 Chain-weighted: No Primary domestic currency: Uzbek sum Data last updated: 02/2019",46251.402000000002,60092.256999999998,75320.468999999997,94200.622000000003,117121.772,144548.25700000001,177153.88800000001,210183.36499999999,242495.44399999999,302536.93199999997,407514.47,523373.00300000003,641532.28200000001,759730.23400000005,2018,523373003000000]
["Vanuatu","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2006 Chain-weighted: No Primary domestic currency: Vanuatu vatu Data last updated: 03/2019",61.606999999999999,65.119,67.912000000000006,70.873000000000005,72.415000000000006,75.802999999999997,79.108999999999995,82.798000000000002,87.25,94.887,100.727,106.75,112.59,118.584,2017,106750000000]
["Venezuela, RB","Gross domestic product, current prices","National currency","Billions","Source: Central Bank Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 1997. This is not an index. 1997 is the year in which nominal and real GDP have the same value. Chain-weighted: No Primary domestic currency: Venezuelan bolívar soberano Data last updated: 03/2019",7.0000000000000001E-3,7.0000000000000001E-3,0.01,1.4E-2,1.6E-2,2.1999999999999999E-2,0.03,0.08,0.28100000000000003,2.0089999999999999,2038.6030000000001,"n/a","n/a","n/a",2018,{"$error":"#VALUE!"}]
["Vietnam","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Market prices. Production-based measure Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Vietnamese dong Data last updated: 01/2019",1616047.129,1809148.95,2157828.497,2779880.236,3245419.227,3584261.5920000002,3937856.0830000001,4192862.3089999999,4502732.9890000001,5005975.4869999997,5535267.4960000003,6085062.1600000001,6696146.9479999999,7368299.6869999999,2018,6085062160000000]
["Yemen, Rep.","Gross domestic product, current prices","National currency","Billions","Source: IMF Staff Estimates Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 1993 GDP valuation: Factor costs Start/end months of reporting year: January/December Base year: 1990 Chain-weighted: No Primary domestic currency: Yemeni rial Data last updated: 01/2019",5375.8249999999998,5097.5929999999998,6786.8130000000001,6996.9080000000004,7586.55,8684.83,9289.3909999999996,8534.1080000000002,8071.5360000000001,9192.0769999999993,13602.492,16898.109,19231.948,24057.418000000001,2017,16898109000000]
["Zambia","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2017 National accounts manual used: System of National Accounts (SNA) 2008 GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2010 Chain-weighted: No Primary domestic currency: Zambian kwacha Data last updated: 03/2019",67.088999999999999,77.347999999999999,97.215999999999994,114.03,131.27199999999999,151.33099999999999,167.053,183.381,216.09800000000001,246.25200000000001,279.44099999999997,313.49599999999998,349.83100000000002,385.19600000000003,2017,313496000000]
["Zimbabwe","Gross domestic product, current prices","National currency","Billions","Source: National Statistics Office Latest actual data: 2015. Data before 2009 are unreliable Notes: The Zimbabwe dollar ceased circulating in early 2009. Data are based on staff estimates of price and exchange rate developments in U.S. dollars. GDP valuation: Market prices Start/end months of reporting year: January/December Base year: 2012 Chain-weighted: No Primary domestic currency: RTGS dollars Data last updated: 03/2019",6.7069999999999999,9.6660000000000004,12.042,14.102,17.114999999999998,19.091000000000001,19.495999999999999,19.963000000000001,20.806000000000001,27.437999999999999,42.795000000000002,97.460999999999999,122.244,127.944,2015,97461000000]
[]
[]
["International Monetary Fund, World Economic Outlook Database, October 2019"]

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["IMF WEO Total Gov Exp, October 2019                       Downloaded on 22/10/2019",null,null,null,null,null,null,null,null,null,"Formula name: WEO_Total",null,null,null,null,null,null,null,null,null,null,null,null,"This message refers to the list of countries to be sent by Valeria (ILO) when the next report is published."]
[null,"SUBJECT: Gen gov total expenditure",null,null,null,"Units: National Currency",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"THE ILO COLUMNS:  U, V, W NEED TO BE CHECKED. The Columns W and X need to be checked when (IF) Valeria sents the figures in February 2020"]
[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,null,null,23,24]
["Country","Subject Descriptor","Units","Scale","Country/Series-specific Notes",2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,"Estimates Start After",null,null,"ILO SP\nYear","GDP to be used","Notes - waiting for Valeria Feb 2020"]
["Afghanistan","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018. Latest actual data is for the fiscal year 2012 Start/end months of reporting year: January/December. Until 2012 fiscal accounts have been compiled on the basis of a solar year, which runs from March 21 to March 20. From 2013 data is compiled on a new fiscal year basis that runs from December 21 to December 20. Pre-2013 data is converted to the new fiscal year for the purpose of WEO publication. GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government;. Data on general government not available. Valuation of public debt: Nominal value. Debt figures incorporate committed but not yet delivered debt relief. Instruments included in gross and net debt: Securities Other than Shares; Loans;. Securities are promissory note issued by the MOF. Loans are mainly loans from abroad. Primary domestic currency: Afghan Afghani Data last updated: 09/2019",91.816999999999993,108.251,128.548,148.05199999999999,183.43899999999999,258.68900000000002,278.95,300.52100000000002,318.255,342.77100000000002,356.48200000000003,384.17599999999999,423.88099999999997,492.5,556.01499999999999,2018,null,null,{"$f":"VLOOKUP(A5,ILO_SP_calcs,3,FALSE)","v":{"$error":"#NAME?"}},{"$f":"HLOOKUP(X5,WEO_Total,ROW()-1,FALSE)","v":{"$error":"#NAME?"}}]
["Albania","General government total expenditure","National currency","Billions","Source: IMF Staff Estimates Latest actual data: 2018. Preliminary data. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Modified Cash Basis General government includes: Central Government; Local Government; Social Security Funds; Monetary Public Corporations, incl. central bank; Nonfinancial Public Corporation; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Loans; Other Accounts Receivable/Payable Primary domestic currency: Albanian lek Data last updated: 08/2019",282.98700000000002,342.86,373.83199999999999,364.29,376.18299999999999,376.24099999999999,394.11700000000002,442.71800000000002,435.69799999999998,429.07299999999998,451.98899999999998,475.91,505.94600000000003,529.80200000000002,563.40700000000004,2018,null,null,{"$error":"#NAME?"},{"$f":"HLOOKUP(X6,WEO_Total,ROW()-1,FALSE)","v":{"$error":"#NAME?"}}]
["Algeria","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Calculated as debt liabilities minus government deposits. Fiscal assumptions: Projections for 2019-2024 are based on IMF staff calculations, and authority's medium term budget framework 2019-2021. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Algerian dinar Data last updated: 09/2019",3108.569,4191.0510000000004,4246.3339999999998,4466.9399999999996,5853.5690000000004,7058.1729999999998,6024.1310000000003,6995.7690000000002,7656.3310000000001,7297.4939999999997,7282.63,7726.2910000000002,7917.69,7357.0020000000004,7497.5240000000003,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Angola","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Oil revenue: effective tax rate approach, based on WEO oil price and oil production from authorities; non-oil revenue: relies on non-oil output as key taxable base; expenditure: current year based on the budget, medium term based on desk's assumptions. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Other General government includes: Central Government and provincial governments Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans; Other Accounts Receivable/Payable Primary domestic currency: Angolan kwanza Data last updated: 08/2019",1908.8420000000001,3498.7890000000002,2510.1970000000001,3034.0259999999998,3927.547,4548.7659999999996,4888.6940000000004,5222.0159999999996,3773.7080000000001,3648.0439999999999,4823.567,5273.8649999999998,6044.45,7537.652,8377.402,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Antigua and Barbuda","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018. Preliminary Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans; Other Primary domestic currency: Eastern Caribbean dollar Data last updated: 08/2019",0.95699999999999996,0.97599999999999998,1.2010000000000001,0.7,0.73299999999999998,0.68300000000000005,0.74099999999999999,0.77600000000000002,0.96399999999999997,0.95599999999999996,0.92100000000000004,1.083,1.117,1.1419999999999999,1.1990000000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Argentina","General government total expenditure","National currency","Billions","Source: Ministry of Economy and/or Planning. http://www.mecon.gov.ar/onp/html/ejectexto/cuenta_nac_dosuno.html?var1=cuentanacdosnueve Latest actual data: 2018 Notes: Government gross debt refers to the central government including untendered debt. Fiscal assumptions: Fiscal projections are based on the available information regarding budget outturn and budget plans for the federal and provincial governments, fiscal measures announced by the authorities, and on IMF staff macroeconomic projections. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash. Central (National) government net lending/borrowing includes cash interest payments only. General government includes: Central Government; State Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Argentine peso Data last updated: 09/2019",265.06299999999999,353.65800000000002,430.84100000000001,554.31799999999998,760.52099999999996,971.31700000000001,1259.0619999999999,1779.1089999999999,2463.163,3416.498,4383.6409999999996,5681.1289999999999,8115.0190000000002,11914.691999999999,16046.724,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Armenia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Since the general government accounts for Armenia are not available, all general government series are equal to the central government series. Fiscal assumptions: Projections for 2020 onwards reflect the authorities' medium-term expenditure framework. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Loans Primary domestic currency: Armenian dram Data last updated: 09/2019",706.05899999999997,793.43,897.05100000000004,906.59100000000001,943.14,956.31799999999998,1084.0909999999999,1158.422,1328.029,1370.5920000000001,1448.2529999999999,1409.7380000000001,1636.328,1852.787,1989.086,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Armenia is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Aruba","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Government budget and projected nominal GDP Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Mixed General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Aruban Florin (Afl.) Data last updated: 08/2019",1.0840000000000001,1.2909999999999999,1.2290000000000001,1.337,1.284,1.44,1.4379999999999999,1.4910000000000001,1.3460000000000001,1.3420000000000001,1.359,1.409,1.4339999999999999,1.4770000000000001,1.5209999999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Australia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Treasury Department Latest actual data: 2017/18. ABS data up to and including FY2017/18. Notes: Social Benefits series comprises social security and welfare spending for which we do not have comparable data prior to 2004. Fiscal assumptions: Fiscal projections are based on data from Australian Bureau of Statistics; the fiscal year FY2019/20 budgets of the Commonwealth and States; and IMF staff estimates and projections. Start/end months of reporting year: January/December. July/June by authorities, and Jan/Dec by staff GFS Manual used: Government Finance Statistics Manual (GFSM) 2014. The IMF has published a revised Government Finance Statistics Manual (GFSM 2014), and the Australian system has been updated to reflect the new international standards. These changes are presented in the Australian System of Government Finance Statistics: Concepts, Sources and Methods, 2015 (cat. no. 5514.0), and will be implemented for data reported for periods from 1 July 2017 onwards, Source: ABS Basis of recording: Accrual General government includes: Central Government; State Government; Local Government; Other;. Other includes Territory governments Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Shares and Other Equity; Financial Derivatives; Other Accounts Receivable/Payable Primary domestic currency: Australian dollar Data last updated: 09/2019",388.67099999999999,433.35,477.50200000000001,504.17500000000001,533.08600000000001,554.17100000000005,572.20000000000005,594.65300000000002,612.846,636.35,663.85,695.87699999999995,728.29899999999998,750.07899999999995,769.38499999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Australia is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Austria","General government total expenditure","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 Fiscal assumptions: Fiscal projections are based on data from Statistics Austria, the authorities' projections, and IMF staff estimates and projections. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; State Government; Local Government; Social Security Funds; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans;. Our framework follows the Maastricht debt criteria. Primary domestic currency: Euro Data last updated: 08/2019",139.83600000000001,146.50200000000001,155.94999999999999,156.33799999999999,157.83099999999999,163.19200000000001,167.292,174.31800000000001,175.67099999999999,178.892,181.19,187.232,191.06,199.22399999999999,206.02,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Austria is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Azerbaijan","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Since the general government accounts for Azerbaijan are not available, all general government series are equal to the central government series. Central government includes state budget and main extrabudgetary funds, including operations of the oil fund and the social protection fund. Start/end months of reporting year: January/December GFS Manual used: in transition to 2001 GFS Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Face value Instruments included in gross and net debt: Securities Other than Shares; Loans;. Treasury bills (Manat); treasury bonds (Manat); sovereign external debt (US dollar). Primary domestic currency: Azerbaijan manat Data last updated: 09/2019",7.3929999999999998,12.619,12.285,13.571,17.57,20.056000000000001,21.981000000000002,21.466000000000001,21.033999999999999,21.376999999999999,25.035,26.449000000000002,27.841999999999999,28.116,28.9,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Bahamas, The","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Notes: All fiscal and debt series data in WEO are on fiscal year basis. Fiscal assumptions: Broadly elasticity of 1 with nominal growth, except for recent measures adopted by authorities. Start/end months of reporting year: July/June GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Primary domestic currency: Bahamian dollar Data last updated: 09/2019",1.5209999999999999,1.575,1.6859999999999999,1.639,1.8009999999999999,1.895,1.8979999999999999,1.927,2.13,2.2400000000000002,2.7309999999999999,2.4569999999999999,2.7639999999999998,3.157,3.0190000000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Bahrain","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: The projections use the 2001 Manual --- all the series are on cash basis only. Fiscal assumptions: The projections are based on the current WEO assumptions (for Bahrain), as well as the country's debt profile and budget. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government;. Fiscal statistics are for central government only Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Monetary Gold and SDRs Primary domestic currency: Bahrain dinar Data last updated: 09/2019",1.9079999999999999,2.286,2.2109999999999999,2.76,3.0030000000000001,3.69,4.2,3.5670000000000002,4.2789999999999999,4.2560000000000002,4.3179999999999996,4.7839999999999998,4.3719999999999999,4.4130000000000003,4.5490000000000004,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Bangladesh","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. GGR (Total Revenue) includes Grants starting 1990 on wards. Before, GGR does not include grants. Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Other Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans; Other Primary domestic currency: Bangladesh taka Data last updated: 09/2019",634.03,869.06,893.23,1012.81,1277.7249999999999,1500.924,1751.61,1880.76,2087.15,2330.13,2679.12,3218.61,3789.2849999999999,4393.6729999999998,4934.5609999999997,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Barbados","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018/19. 43435 Notes: Fiscal perimeter = budgetary central government. Authorities do not consolidate general government. Start/end months of reporting year: April/March GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government;. Data covers the Budgetary Central Government only. Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans;. Central Government Gross Debt includes Guaranteed, non-Guaranteed and Arrears; Central Government Net Debt is derived by Central Government Gross Debt subtract Government's deposits in CBB and Commercial Banks; Forecast (2018-2023) for Government's deposits is to remain constant with 2017. Primary domestic currency: Barbados dollar Data last updated: 08/2019",3.0329999999999999,3.15,3.0979999999999999,3.1619999999999999,3.0419999999999998,3.198,3.2930000000000001,3.1120000000000001,3.3220000000000001,3.2749999999999999,3.2930000000000001,3.024,2.9119999999999999,3.0230000000000001,3.194,2019,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Belarus","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: The overall fiscal balance includes off balance sheet items. General government debt includes guarantees. Fiscal assumptions: IMF staff projections. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value. Includes general government and off-balance sheet operations. Instruments included in gross and net debt: Securities Other than Shares; Loans; Other;. Includes government guarantees as other. Primary domestic currency: Belarusian rubel Data last updated: 08/2019",4.9400000000000004,8.0519999999999996,7.3470000000000004,7.5549999999999997,12.38,21.297999999999998,27.373000000000001,31.294,37.555,38.628,41.286000000000001,45.551000000000002,51.302999999999997,55.878,54.622,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Belgium","General government total expenditure","National currency","Billions","Source: Central Bank Latest actual data: 2018 Fiscal assumptions: Projections are based on the 2019-22 Stability Programme and other available information on the authorities' fiscal plans, with adjustments for IMF staff assumptions. Start/end months of reporting year: January/December GFS Manual used: European System of Accounts (ESA) 2010 Basis of recording: Accrual General government includes: Central Government; State Government; Local Government; Social Security Funds; Other; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Euro Data last updated: 09/2019",166.32,178.02699999999999,188.86600000000001,194.75,206.68,216.47900000000001,219.03399999999999,221.14400000000001,220.88900000000001,225.423,228.94499999999999,235.976,240.16,245.85300000000001,252.19300000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Belgium is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Belize","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Gross debt-to-GDP ratios is calculated dividing debt at end of calendar year  by calendar year GDP. Fiscal assumptions: Based on WEO assumptions and staff assessment of policies likely to be implemented to attain the authorities' announced fiscal targets. Projections include the results from the restructuring of the \"super-bond\" in 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986. Belize does not follow GFSM2001 convention due to limited capacity to implement it. Basis of recording: Authorities report debt service on accrual basis, but other expenditures on a cash basis. General government includes: Central Government; Monetary Public Corporations, incl. central bank; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans; Other Accounts Receivable/Payable Primary domestic currency: Belize dollar Data last updated: 08/2019",0.81299999999999994,0.77400000000000002,0.79100000000000004,0.81699999999999995,0.86199999999999999,0.88,0.94299999999999995,1.06,1.222,1.252,1.3,1.206,1.2549999999999999,1.2989999999999999,1.3460000000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Benin","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Other; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: CFA franc Data last updated: 09/2019",618.14700000000005,635.13,778.45500000000004,664.1,742.16399999999999,809.78099999999995,920.83199999999999,933.03599999999994,1222.1780000000001,1080.752,1311.6949999999999,1311.4280000000001,1395.683,1469.15,1596.9970000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Bhutan","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Fiscal assumptions: Royal Government of Bhutan's Medium Term Expenditure Framework as detailed in Five Year Plans (including foreign grants projections), technical data on projected hydropower generation and sales, and staff projections of other non-hydropower revenues. Start/end months of reporting year: July/June GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Face value Instruments included in gross and net debt: Loans Primary domestic currency: Bhutanese ngultrum Data last updated: 08/2019",15.795,17.913,22.346,29.888999999999999,29.841999999999999,33.688000000000002,34.901000000000003,33.523000000000003,34.334000000000003,43.603000000000002,48.018000000000001,55.392000000000003,45.185000000000002,58.395000000000003,66.876000000000005,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Bolivia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Nonmonetary Financial Public Corporations; Nonfinancial Public Corporation; Valuation of public debt: Nominal value Primary domestic currency: Bolivian boliviano Data last updated: 09/2019",33.634999999999998,42.645000000000003,43.601999999999997,43.43,58.773000000000003,67.447000000000003,81.418000000000006,98.626999999999995,101.68,93.647000000000006,100.039,103.26600000000001,106.16500000000001,111.11499999999999,116.675,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Bosnia and Herzegovina","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Additional data received from the Indirect Tax Authority Latest actual data: 2018 Notes: Gross debt excludes other accounts payable. Net debt  is calculated as gross debt minus currency and deposits only. Fiscal assumptions: Budget, macro framework, structural reforms set by program, and WEO. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual. Revenues are on cash basis and expenditures on accrual basis. General government includes: Central Government; State Government; Local Government; Social Security Funds; Other; Valuation of public debt: Face value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Convertible marka Data last updated: 09/2019",10.193,12.346,12.145,12.545,12.167,12.291,12.045999999999999,12.634,12.417999999999999,12.617000000000001,12.763999999999999,13.711,14.154,14.881,15.391,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Botswana","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018/19 Start/end months of reporting year: April/March GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Primary domestic currency: Botswana pula Data last updated: 09/2019",24.823,35.15,39.49,38.417000000000002,38.667999999999999,40.735999999999997,41.73,50.564,54.411000000000001,56.274999999999999,58.393000000000001,60.094000000000001,64.590999999999994,67.926000000000002,71.27,2019,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Brazil","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: General Government (GG) data refers to the non-financial public sector, which includes the federal, state and local governments as well as public enterprises (excluding Petrobras and Eletrobras), and is consolidated with the Sovereign Wealth Fund (SWF). Revenue and expenditures of federal public enterprises are added in full to the respective aggregates. Transfers or withdrawals from the SWF do not impact the primary balance. Disaggregated data on gross interest payments and interest receipts is available from 2003 onwards only. Prior to 2003, Total Revenue of the GG excludes interest receipts, while Total Expenditure of the GG includes net interest payments. In 2015, interest income is negative to account for Central Bank losses with swap operations. Fiscal assumptions: Fiscal projections for 2019 take into account the deficit target approved in the budget law. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001. Total Revenue includes disposal of non financial assets, and Net Acquisition of Nonfinancial Assets does not net out these proceeds. Basis of recording: Cash Valuation of public debt: Nominal value Instruments included in gross and net debt: Gross public debt includes the treasury bills at the central bank's balance sheet, including those not used under repurchase agreements. Primary domestic currency: Brazilian real Data last updated: 09/2019",1023.311,1163.403,1236.5250000000001,1550.1510000000001,1644.4480000000001,1792.44,1996.47,2225.873,2307.2849999999999,2484.9830000000002,2520.741,2626.8879999999999,2756.3330000000001,2882.6419999999998,3030.1709999999998,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Brunei Darussalam","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Value added from energy sector and expected fiscal policies. Start/end months of reporting year: January/December. BRN team reports fiscal sector data on calendar year basis. Starting 2004, Brunei's fiscal year changed from January/December to April/March; however, we do not have longer series for FY basis data. GFS Manual used: Other Basis of recording: Cash General government includes: Central Government;. Budgetary central govt. Valuation of public debt: Face value. No liabilities Primary domestic currency: Brunei dollar Data last updated: 08/2019",5.9980000000000002,6.141,6.0259999999999998,6.7619999999999996,6.923,7.3769999999999998,7.6029999999999998,7.3849999999999998,6.8760000000000003,6.1970000000000001,6.1260000000000003,5.8849999999999998,5.984,6.1310000000000002,6.1139999999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Bulgaria","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Gross debt is calculated using the national presentation, i.e. the Government Debt Act (GDA). Net debt: gross debt, adjusted for currency depositions, debt securities, and loans of general government. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Bulgarian lev Data last updated: 09/2019",21.026,24.369,24.713999999999999,25.876999999999999,25.922999999999998,26.873999999999999,29.175000000000001,31.202000000000002,33.436999999999998,31.202999999999999,32.887999999999998,37.723999999999997,44.198,43.521999999999998,45.652999999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Burkina Faso","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Discussion with the authorities, past trends and impact of on going structural reforms Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Commitment basis , with cash adjustment General government includes: Central Government; Valuation of public debt: Face value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: CFA franc Data last updated: 08/2019",833.58799999999997,783.65599999999995,956.43899999999996,1083.2249999999999,1163.3869999999999,1453.721,1677.336,1440.7619999999999,1424.1569999999999,1645.1110000000001,2149.9949999999999,2137.7049999999999,2326.473,2394.895,2617.2939999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Burundi","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2015 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Burundi franc Data last updated: 08/2019",571.71,786.67600000000004,829.72299999999996,1021.529,1189.4649999999999,1263.663,1325.578,1442.135,1283.7049999999999,1098.8879999999999,1280.306,1380.444,1533.778,1733.751,1962.318,2015,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Cabo Verde","General government total expenditure","National currency","Billions","Source: Ministry of Finance Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Valuation of public debt: Nominal value Primary domestic currency: Cabo Verde escudo Data last updated: 09/2019",35.985999999999997,40.747,45.408000000000001,54.262999999999998,49.234999999999999,52.151000000000003,52.024999999999999,47.082000000000001,49.906999999999996,49.139000000000003,54.65,57.301000000000002,66.953999999999994,67.105999999999995,67.587000000000003,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Cambodia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Historical fiscal and monetary data are from the Cambodia authorities. Projections are based on staff's assumptions given discussions with the authorities. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Mixed General government includes: Central Government; Local Government; Valuation of public debt: Face value Instruments included in gross and net debt: Loans Primary domestic currency: Cambodian riel Data last updated: 09/2019",5047.3320000000003,6455.6890000000003,8783.4179999999997,9834.6689999999999,10723.321,12288.371999999999,13103.289000000001,14646.184999999999,14884.022000000001,17156.792000000001,20082.43,24358.019,27054.920999999998,29344.580999999998,32098.552,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Cambodia is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Cameroon","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Fiscal assumptions: Actual fiscal data and WEO projections Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Nonfinancial Public Corporation; Valuation of public debt: Current market value Instruments included in gross and net debt: Currency and Deposits; Loans; Other Accounts Receivable/Payable Primary domestic currency: CFA franc Data last updated: 09/2019",1541.825,1966.865,1931.2760000000001,2066.942,2576.0929999999998,2640.7339999999999,3199.7579999999998,3590.5949999999998,3821.7269999999999,4044.6610000000001,4030.538,3986.067,4110.5870000000004,4227.0709999999999,4488.8739999999998,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Canada","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Fiscal data are on a calendar year basis. Government financial assets (used for the calculation of net debt) include currency and deposits, accounts receivable, short-term and other bonds, investment fund shares, loans, and equity. Fiscal assumptions: Projections use the baseline forecasts in the 2019 Federal budget and latest provincial budgets as available. The IMF staff makes some adjustments to this forecast, including for differences in macroeconomic projections. The IMF staff forecast also incorporates the most recent data releases from Statistics Canada's Canadian System of National Economic Accounts, including federal, provincial, and territorial budgetary outturns through Q1 2019. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001. Comment: Preliminary data: based on quarterly data. Basis of recording: Accrual General government includes: Central Government; State Government; Local Government; Social Security Funds; Other; Valuation of public debt: Face value Instruments included in gross and net debt: Securities Other than Shares; Loans; Other Accounts Receivable/Payable; Other;. Gross debt includes debt securities, loans, life insurance and pension, and other accounts payable but excludes unfunded pension liabilities. Net debt is estimated as gross debt minus financial assets which include currency and deposits, debt securities, loans, equity and investment fund shares, and accounts receivable. Primary domestic currency: Canadian dollar Data last updated: 09/2019",607.70000000000005,642.524,682.28499999999997,717.46600000000001,737.57100000000003,747.80399999999997,760.15200000000004,765.452,796.54300000000001,822.452,861.95799999999997,902.16700000000003,935.02700000000004,972.85799999999995,1008.662,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Canada is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Central African Republic","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Loans Primary domestic currency: CFA franc Data last updated: 09/2019",108.26300000000001,145.916,155.64699999999999,182.97399999999999,162.66,185.79499999999999,111.943,168.55600000000001,140,130.88800000000001,166.81,205.93299999999999,235.99700000000001,267.08800000000002,274.387,2018,null,null,{"$f":"VLOOKUP(A37,ILO_SP_calcs,3,FALSE)","v":{"$error":"#NAME?"}},{"$error":"#NAME?"},"CAR is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Chad","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Fiscal assumptions: Historical data series, annual budget, and additional data from the authorities Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Nonfinancial Public Corporation; Valuation of public debt: Face value Primary domestic currency: CFA franc Data last updated: 09/2019",709.29499999999996,874.40899999999999,1058.614,1288.501,1284.4760000000001,1512.1110000000001,1463.5640000000001,1519.22,1187.3620000000001,868.73400000000004,871.16499999999996,817.97699999999998,984.096,1020.208,1095.96,2017,null,null,{"$error":"#NAME?"},{"$f":"HLOOKUP(X38,WEO_Total,ROW()-1,FALSE)","v":{"$error":"#NAME?"}}]
["Chile","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: GGCB and GGSB are approximated by the Central Government Cyclical-Adjusted Balance and Structural Balance, respectively as more than 90% of the expenditures and revenues are from the Central Government. Fiscal assumptions: Projections are based on the authorities' budget projections, adjusted to reflect the IMF staff's projections for GDP and copper prices. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual. Some elements including tax revenues are recorded on a cash basis General government includes: Central Government; Local Government; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Chilean peso Data last updated: 09/2019",17406.735000000001,20454.687999999998,24011.251,26009.855,27805.329000000002,30008.082999999999,31788.186000000002,35290.749000000003,39699.373,42810.197999999997,45711.415000000001,48494.447999999997,50794.565999999999,53466.269,55873.184999999998,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["China","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Ministry of Finance (data retrieved from CEIC) and National Audit Office (NAO) (data obtained from NAO audit report) Latest actual data: 2018. Headline data (e.g., revenue and expenditure) is updated to 2018 number, but actual data of some detailed components (e.g. interest payment) is not available for 2018. Notes: Fiscal Balance: Data differ from official figures released by China's Ministry of Finance mainly because of a difference in treatment of net contributions to the other accounts (e.g. Budget Stabilization Fund). General Government Debt: Data differ from official figures released by China's Ministry of Finance because IMF numbers include, from 2010 onward, the stock of local government debt outstanding as reported in the June 2011 National Audit Office Report. For subsequent years, we have followed the amortization schedule outlined in the same report. Fiscal assumptions: Fiscal expansion is expected for 2019, due to a series of tax reforms and expenditure measures in response to the economic slowdown. Start/end months of reporting year: January/December GFS Manual used: Authorities do not publish in GFS Manual 2001. Data estimated by staff. Basis of recording: Cash General government includes: Central Government; Local Government;. Includes adjustments of stabilization fund, social security fund, and government-managed funds. Valuation of public debt: Face value Instruments included in gross and net debt: Securities Other than Shares; Loans; Other Accounts Receivable/Payable Primary domestic currency: Chinese yuan Data last updated: 09/2019",4909.835,7164.5389999999998,8918.7839999999997,10251.183000000001,13128.593999999999,15178.679,17034.244999999999,18745.463,21896.915000000001,23809.544999999998,26234.659,30153.737000000001,33375.538,36454.150999999998,38890.745999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Colombia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Headline balance includes Central Bank utilities distributed to the Central Government. Structural balance based on staff estimates; adjusts for the cyclical variation of GDP, oil prices and oil production levels. Fiscal assumptions: Projections are based on the authorities' policies and projections reflected in the Medium-Term Fiscal Framework 2019, adjusted to reflect IMF staff's macroeconomic assumptions. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001. Transitioning toward 2001 manual Basis of recording: Revenue (cash); Expenditure (cash modified) General government includes: Central Government; State Government; Local Government; Social Security Funds; Other; Valuation of public debt: Face value Primary domestic currency: Colombian peso Data last updated: 09/2019",120816.16,127887.564,148980.258,160177.848,178027.12299999999,187773.255,206128.75099999999,224441.96,237699.06599999999,239615.095,258656.989,274972.50099999999,299779.45899999997,308528.53600000002,323066.815,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Comoros","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash for expenditures, accrual for revenues General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Loans Primary domestic currency: Comorian franc Data last updated: 09/2019",37.314,46.338000000000001,43.627000000000002,44.703000000000003,47.792999999999999,57.802999999999997,61.305,61.857999999999997,82.254000000000005,84.007000000000005,79.262,80.658000000000001,109.551,106.601,107.708,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Comoros is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Congo, Dem. Rep.","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Loans; Other Primary domestic currency: Congo franc Data last updated: 08/2019",841.88099999999997,1291.72,1883.067,3110.404,3322.6610000000001,3702.3919999999998,3831.3890000000001,6143.1570000000002,6050.2520000000004,5431.1850000000004,5783.4780000000001,8538.66,9028.5329999999994,9703.2630000000008,10830.064,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Congo is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Congo, Rep.","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Valuation of public debt: Nominal value Primary domestic currency: CFA franc Data last updated: 09/2019",1201.4870000000001,1255.6189999999999,1117.279,1496.15,2056.335,2769.2930000000001,3760.0549999999998,4295.1580000000004,2902.4189999999999,2513.88,1828.2850000000001,1461.0139999999999,1549.79,1599.0129999999999,1641.4680000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Costa Rica","General government total expenditure","National currency","Billions","Source: Ministry of Finance and Central Bank. Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986. Desk is working on the transition to GFS2001. Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Costa Rican colon Data last updated: 09/2019",2061.752,2535.587,2969.5140000000001,3623.0810000000001,3762.442,4177.7150000000001,4765.2759999999998,5230.8119999999999,5647.1270000000004,6023.7510000000002,6610.2389999999996,6829.4269999999997,7449.5209999999997,7896.2420000000002,8286.9369999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Cote d'Ivoire","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Based on the adopted budget and staff estimates. Start/end months of reporting year: January/December. The 2011 government finance data cover only the April/December period due to post-election crisis in 2011Q1, thus the fiscal GDP also covers the same 3 quarters. GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Accrual General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans;. Public (and publicly guaranteed) external debt covers the central government debt, which includes French claims under C2D debt-for-development swaps that were cancelled in the context of the HIPC Initiative debt relief. These C2D claims are excluded in the Debt Sustainability Analysis for Cote d'Ivoire. Data for net external debt (which would require knowing the stock of foreign exchange reserves belonging to the country) is not available. Primary domestic currency: CFA franc Data last updated: 09/2019",2000.34,2187.69,2279.4560000000001,2464.357,2209.5949999999998,3051.7510000000002,3385.5839999999998,3671.95,4469.9539999999997,5014.5569999999998,5509.2539999999999,5694.9570000000003,6046.402,6589.7669999999998,7187.75,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Croatia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Net debt is calculated as gross debt minus deposits, loans and debt securities. Fiscal assumptions: Projections based on macro framework and authorities' medium-term fiscal guidelines. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001. Before ESA 2010 was introduced, Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Other; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Croatian kuna Data last updated: 09/2019",146.59399999999999,157.517,160.01,157.85,161.72900000000001,158.11000000000001,158.095,159.41900000000001,164.18899999999999,166.18700000000001,165.71299999999999,177.30699999999999,186.73699999999999,192.72399999999999,200.55799999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Cyprus","General government total expenditure","National currency","Billions","Source: EUROSTAT until 2014. CYSTAT thereafter. The fiscal balances in 2014 and 2015 exclude the Euro 1.5 billion and Euro 0.175 billion coop recapitalizations, respectively, to better capture the underlying fiscal position. For 2015 and thereafter, FISIM on ESM loans is included in intermediate consumption rather than in the interest payment. Latest actual data: 2018 Notes: Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Net debt is derived as Maastricht definition gross debt minus assets in the form of currency and deposits and loans and debt securities (from Government Finance Statistics data up to 2009 and from IFS from 2010. Fiscal assumptions: Projections are based on the authorities' budget plans and staff's macroeconomic assumptions. Start/end months of reporting year: January/December GFS Manual used: European System of Accounts (ESA) 2010 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds;. Extra-Budgetary Funds and entities referred as semi-public entities in the national classification are also covered as part of the Central Government fiscal information. Valuation of public debt: Face value Primary domestic currency: Euro Data last updated: 09/2019",6.5780000000000003,7.2649999999999997,7.8230000000000004,8.1150000000000002,8.3550000000000004,8.1669999999999998,7.5949999999999998,7.048,6.9790000000000001,6.9690000000000003,7.2939999999999996,9.2170000000000005,8.2840000000000007,9.4309999999999992,9.9429999999999996,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Czech Republic","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Fiscal assumptions: Projections are based on the Convergence Program and latest-available Fiscal Outlook with adjustments for macroeconomic projections from the IMF staff. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Shares and Other Equity; Insurance Technical Reserves; Financial Derivatives Primary domestic currency: Czech koruna Data last updated: 07/2019",1550.421,1635.279,1737.2329999999999,1724.241,1735.9159999999999,1805.836,1745.9079999999999,1830.5139999999999,1916.39,1882.5250000000001,1965.604,2163.395,2317.8429999999998,2441.3330000000001,2555.1019999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Czech Republic  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Denmark","General government total expenditure","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 Notes: Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable Fiscal assumptions: Estimates for 2018 are aligned with the latest official budget numbers, adjusted where appropriate for the IMF staff's macroeconomic assumptions. For 2019, the projections incorporate key features of the medium-term fiscal plan as embodied in the authorities' Convergence Programme 2019 submitted to the European Union. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value. Nominal Value debt valuation is consistent with Eurostat's definition Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans;. Subtracted items include Currency and Deposits, Securities Other than Shares, Loans and Other Financial Assets. Primary domestic currency: Danish krone Data last updated: 08/2019",862.31799999999998,908.13499999999999,973.63599999999997,1026.31,1042.1669999999999,1098.2470000000001,1077.153,1093.954,1110.377,1106.069,1114.25,1140.5029999999999,1183.0730000000001,1217.653,1262.2460000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Denmark  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Djibouti","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: GGE series was changed as of July 2011 = current expenditure (before = total expenditure) Fiscal assumptions: Desk projections in absence of projections from authorities. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Valuation of public debt: Current market value Instruments included in gross and net debt: Loans Primary domestic currency: Djibouti franc Data last updated: 09/2019",56.231999999999999,70.781999999999996,78.561999999999998,73.054000000000002,78.180000000000007,89.472999999999999,97.424999999999997,114.392,180.80500000000001,151.21199999999999,138.291,138.82900000000001,138.51400000000001,142.19300000000001,151.851,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Dominica","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018/19 Start/end months of reporting year: July/June GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government;. Debt corresponds to nonfinancial public sector (central government and SOEs) Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Eastern Caribbean dollar Data last updated: 08/2019",0.40400000000000003,0.44400000000000001,0.47599999999999998,0.53,0.46899999999999997,0.48099999999999998,0.46,0.45500000000000002,0.48799999999999999,0.66600000000000004,0.78,0.879,0.81699999999999995,0.77100000000000002,0.64500000000000002,2019,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Dominican Republic","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: For the Dominican Republic, the fiscal series have the following coverage: (i) public debt, debt service and the cyclically-adjusted/structural balances are for the Consolidated Public Sector (which includes central government, rest of the non-financial public sector, and the central bank); and (ii) the remaining fiscal series refer to the Central Government. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014. Data starting in 2014 follows GFSM 2014,  but previous years have not been converted yet. Basis of recording: Accrual. Accrual General government includes: Central Government; Local Government; Social Security Funds; Nonmonetary Financial Public Corporations; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Monetary Gold and SDRs Primary domestic currency: Dominican peso Data last updated: 09/2019",237.327,303.84300000000002,282.07600000000002,313.32299999999998,352.46199999999999,480.01,463.45800000000003,497.077,533.947,591.25699999999995,655.50300000000004,698.60799999999995,790.35,852.87699999999995,926.37099999999998,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Ecuador","General government total expenditure","National currency","Billions","Source: Source: Central Bank and Ministry of Finance Latest actual data: 2018 Fiscal assumptions: All the fiscal series are based on 1986 methodology. The authorities have adopted a non-standard accounting methodology for budgetary purposes. Staff does not use this methodology. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Mixed General government includes: Central Government; State Government; Local Government; Social Security Funds; Nonfinancial Public Corporation; Valuation of public debt: In late 2016, the authorities changed the definition of debt to a consolidated basis; both the historic (since 2001) and projection numbers are now presented on a consolidated basis. The IMF's definition of debt includes advanced oil sales, treasury certificates, central bank loans, and domestic arrears that are excluded from the official debt definition. The 40 percent of GDP debt limit applies only to the official debt definition. Instruments included in gross and net debt: Securities Other than Shares; Loans; Other;. Other includes advanced oil sales, treasury certificates, central bank loans, and domestic arrears that are excluded from the official debt definition. Primary domestic currency: U.S. dollar Data last updated: 09/2019",12.305,21.760999999999999,20.61,24.123000000000001,31.29,35.393999999999998,41.606999999999999,44.345999999999997,39.398000000000003,38.54,38.079000000000001,40.165999999999997,37.671999999999997,37.774999999999999,36.783000000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Egypt, Arab Rep.","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Fiscal assumptions: Fiscal projections are mainly based on budget sector operations. The trends and projections are currently based on the 1st EFF review, completed in July. Start/end months of reporting year: July/June GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Other;. Central Government, Local Government, Social Security Funds, Other. General government includes budget sector (central government, local governorates and public service authorities), social insurance fund and national investment bank Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Egyptian pound Data last updated: 09/2019",244.816,307.79399999999998,356.43700000000001,397.839,440.411,516.41700000000003,644.07899999999995,759.84900000000005,805.61599999999999,886.89800000000002,1116.9860000000001,1335.98,1496.077,1694.087,1773.204,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["El Salvador","General government total expenditure","National currency","Billions","Source: Ministry of Finance and Central Bank Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash. Adjustments were made to cash data on the expenditure side (starting from 2012) to reflect identifiable delays in payments. General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Current market value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: U.S. dollar Data last updated: 09/2019",3.7360000000000002,4.1230000000000002,4.4219999999999997,4.62,4.9820000000000002,5.1959999999999997,5.3730000000000002,5.3630000000000004,5.52,5.7430000000000003,5.968,6.2779999999999996,6.5869999999999997,6.8380000000000001,6.9749999999999996,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Equatorial Guinea","General government total expenditure","National currency","Billions","Source: Ministry of Finance, Economy and Planning Latest actual data: 2017 Fiscal assumptions: Actual fiscal data and WEO projections Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash. Commitment basis from 2013 General government includes: Central Government;. State/local government and other public institution are not covered due to limited information. Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: CFA franc Data last updated: 09/2019",1233.481,1759.3309999999999,2827.5219999999999,2516.8530000000001,2767.018,4023.498,3173.41,3395.78,3240.6170000000002,1853.0920000000001,1421.84,1407.902,1169.9780000000001,1116.0070000000001,1032.404,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Eritrea","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government Primary domestic currency: Eritrean nakfa Data last updated: 09/2019",8.093,8.9410000000000007,8.7370000000000001,11.446999999999999,11.031000000000001,12.134,10.356,9.1920000000000002,9.7390000000000008,8.657,9.7149999999999999,8.1890000000000001,10.303000000000001,12.603,12.903,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Estonia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable Fiscal assumptions: The forecast, which is cash-, not accrual-, based, incorporates the authorities' 2018 budget, adjusted for newly available information and for the staff's macroeconomic scenario. Start/end months of reporting year: January/December GFS Manual used: Hybrid of 1986 and 2001 manuals used Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value. This is the format of data provided by the authorities. Primary domestic currency: Euro Data last updated: 09/2019",5.5380000000000003,6.5659999999999998,6.5140000000000002,5.9619999999999997,6.2380000000000004,7.0490000000000004,7.28,7.5919999999999996,8.1850000000000005,8.5570000000000004,9.2739999999999991,10.146000000000001,11,11.742000000000001,12.337,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Estonia  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Eswatini","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018/19 Start/end months of reporting year: April/March GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans; Other Primary domestic currency: Swaziland lilangeni Data last updated: 09/2019",7.4160000000000004,9.0839999999999996,10.153,9.9879999999999995,8.8539999999999992,10.821,12.657999999999999,15.324999999999999,17.498000000000001,20.498000000000001,22.006,22.338000000000001,22.984000000000002,22.844000000000001,24.308,2019,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Ethiopia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Start/end months of reporting year: July/June GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; State Government; Local Government; Nonfinancial Public Corporation; Valuation of public debt: Nominal value Instruments included in gross and net debt: Loans; Shares and Other Equity; Insurance Technical Reserves; Other Accounts Receivable/Payable; Monetary Gold and SDRs Primary domestic currency: Ethiopian birr Data last updated: 09/2019",35.563000000000002,46.914999999999999,57.774000000000001,71.334999999999994,93.888999999999996,124.417,153.929,185.47200000000001,224.881,280.89299999999997,329.65800000000002,354.209,407.30900000000003,463.06,528.08000000000004,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Fiji  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Fiji","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Face value Primary domestic currency: Fiji dollar Data last updated: 09/2019",1.3839999999999999,1.375,1.593,1.62,1.8540000000000001,1.964,2.0950000000000002,2.6659999999999999,2.9260000000000002,2.8260000000000001,3.2530000000000001,3.7719999999999998,3.59,3.7610000000000001,4,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Finland  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Finland","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Based on announced policies by the authorities, adjusted for the Staff macroeconomic scenario. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value. Nominal Value debt valuation is consistent with Eurostat's definition Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans;. Data reported are based on the Maastricht definition. It covers all general governments in the sense of the national accounts: the State, other government bodies (ODAC), local governments and social security administrations. It does not include all financial liabilities but only cash and deposits, securities other than shares as well as loans; excluded are derivative products and other accounts payable. Primary domestic currency: Euro Data last updated: 09/2019",87.32,93.483000000000004,99.128,102.446,107.066,112.291,116.95699999999999,119.399,119.76,120.82,121.324,124.11499999999999,127.343,131.67500000000001,136.00800000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"France  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["France","General government total expenditure","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 Fiscal assumptions: Projections for 2019 onwards are based on the measures of the 2018 budget law, the multi-year law for 2018-22, and the 2019 budget law adjusted for differences in assumptions on macro and financial variables, and revenue projections. Historical fiscal data reflect the May 2019 revisions and update of the historical fiscal accounts, debt data, and national accounts. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Other; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Euro Data last updated: 09/2019",1020.486,1061.865,1106.701,1134.9559999999999,1158.67,1192.8589999999999,1211.6210000000001,1229.9580000000001,1248.6559999999999,1264.297,1293.953,1318.643,1341.386,1348.152,1377.693,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Gabon  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Gabon","General government total expenditure","National currency","Billions","Source: IMF Staff Estimates Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Loans Primary domestic currency: CFA franc Data last updated: 08/2019",1155.8530000000001,1314.5920000000001,1296.7159999999999,1642.0909999999999,1865.7059999999999,2099.5369999999998,3013.3989999999999,2135.2199999999998,1892.3,1815.682,1570.2919999999999,1600.625,1638.6410000000001,1865.9649999999999,1899.451,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Gambia, The","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Projections are based on known projects and commitments, macroeconomic projections, and anticipated policy changes. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Gambian dalasi Data last updated: 09/2019",3.5630000000000002,4.0039999999999996,5.5460000000000003,6.2919999999999998,6.8710000000000004,8.6780000000000008,8.7420000000000009,9.74,11.468999999999999,12.585000000000001,17.007999999999999,17.007999999999999,20.952000000000002,23.745000000000001,26.404,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Georgia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Local Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Georgian lari Data last updated: 09/2019",4.8310000000000004,6.2309999999999999,6.4409999999999998,6.8579999999999997,7.0810000000000004,7.7370000000000001,7.75,8.7279999999999998,9.3249999999999993,10.167999999999999,11.247999999999999,12.125,13.487,14.516,15.746,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Germany  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Germany","General government total expenditure","National currency","Billions","Source: National Statistics Office. Data of general government gross debt comes from EUROSTAT Latest actual data: 2018. The latest actual data of general government debt is 2018. Fiscal assumptions: The IMF staff's projections for 2019 and beyond are based on the 2019 Stability Program and data updates from the national statistical agency, adjusted for the differences in the IMF staff's macroeconomic framework and assumptions concerning revenue elasticities.  The estimate of gross debt includes portfolios of impaired assets and noncore business transferred to institutions that are winding up, as well as other financial sector and EU support operations. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; State Government; Local Government; Social Security Funds;. other refers to special funds Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Euro Data last updated: 09/2019",1084.748,1125.5360000000001,1178.8499999999999,1234.5440000000001,1218.5239999999999,1233.1379999999999,1263.5440000000001,1296.94,1334.518,1388.482,1441.4190000000001,1490.498,1556.133,1606.204,1659,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Ghana","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Face value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Ghanaian cedi Data last updated: 08/2019",5.7270000000000003,7.2290000000000001,8.6509999999999998,12.326000000000001,15.896000000000001,22.437999999999999,26.843,33.270000000000003,34.179000000000002,43.679000000000002,46.206000000000003,64.48,79.600999999999999,85.69,92.707999999999998,2018,null,null,{"$f":"VLOOKUP(A69,ILO_SP_calcs,3,FALSE)","v":{"$error":"#NAME?"}},{"$error":"#NAME?"},"Greece  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Greece","General government total expenditure","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 Fiscal assumptions: Greece's general government primary balance estimate for 2018 is based on the April 2019 EDP release by Eurostat. Historical data since 2010 reflect adjustments in line with the primary balance definition under the enhanced surveillance framework for Greece. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014 Basis of recording: Accrual. Data in line with ESA-2010. General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value. General debt data, including historical data, are provisional and subject to revisions. Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Euro Data last updated: 08/2019",109.52800000000001,123.041,128.45400000000001,118.616,111.973,100.876,93.167000000000002,89.665000000000006,89.683999999999997,86.302999999999997,85.230999999999995,86.289000000000001,91.248999999999995,93.272999999999996,95.05,2018,null,null,{"$error":"#NAME?"},{"$f":"HLOOKUP(X70,WEO_Total,ROW()-1,FALSE)","v":{"$error":"#NAME?"}}]
["Grenada","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014 Basis of recording: Commitments Basis General government includes: Central Government;. Debt corresponds to central government + guaranteed Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Eastern Caribbean dollar Data last updated: 09/2019",0.57599999999999996,0.63200000000000001,0.58299999999999996,0.58799999999999997,0.60499999999999998,0.57599999999999996,0.64,0.71799999999999997,0.69099999999999995,0.68600000000000005,0.68700000000000006,0.70499999999999996,0.72899999999999998,0.745,0.76600000000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Guatemala","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Other Accounts Receivable/Payable Primary domestic currency: Guatemalan quetzal Data last updated: 09/2019",37.381999999999998,40.354999999999997,43.709000000000003,48.384999999999998,53.511000000000003,55.32,58.268999999999998,60.819000000000003,59.890999999999998,63.08,67.275000000000006,72.710999999999999,78.326999999999998,87.433000000000007,95.105999999999995,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Guinea","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Primary domestic currency: Guinean franc Data last updated: 08/2019",2287.1999999999998,3231.8820000000001,5240.25,8049.1,7246.9,10342.15,10785.383,12442.55,14286.07,12439.08,16276.447,17131.877,23102.198,25249.151000000002,29876.526999999998,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Guinea-Bissau","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual. Guinea-Bissau fiscal is anchored on an accrual basis. Only overall balance is presented on both cash and accrual basis. General government includes: Central Government;. General government is only composed of central government. Valuation of public debt: Nominal value Primary domestic currency: CFA franc Data last updated: 08/2019",85.397999999999996,92.433000000000007,86.27,86.281000000000006,94.405000000000001,69.512,68.046999999999997,128.69399999999999,146.50200000000001,151.37200000000001,154.56299999999999,168.12700000000001,197.74100000000001,199.298,214.49600000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Guyana","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Consistent with other sectors. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Social Security Funds; Nonfinancial Public Corporation; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits;. Net debt is equal to gross debt minus CG deposits in the banking system. In 2016, CG was borrowing from the CB, therefore, CG had no deposit and the net debt is equal to gross debt. Primary domestic currency: Guyana dollar Data last updated: 07/2019",114.64100000000001,122.42400000000001,135.60599999999999,142.27199999999999,161.066,182.69200000000001,184.70400000000001,198.32,193.39599999999999,234.30600000000001,259.34899999999999,276.66899999999998,315.59899999999999,355.11099999999999,387.43400000000003,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Haiti  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Haiti","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Notes: General Government only includes Central Government Start/end months of reporting year: October/September GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Primary domestic currency: Haitian gourde Data last updated: 09/2019",39.677,44.973999999999997,54.499000000000002,60.414000000000001,74.057000000000002,93.68,101.91500000000001,98.828999999999994,91.814999999999998,89.935000000000002,96.602000000000004,121.658,128.131,157.15600000000001,176.72200000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Honduras","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018. Preliminary Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014. Starting with the year 2008, data are provided by authorities in GFS2014. The prior data are based on GFS1986 Basis of recording: Mixed. Spending is recorded in accrual basis while revenues is recorded in cash basis General government includes: Central Government; Local Government; Social Security Funds; Other; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans; Other Accounts Receivable/Payable; Other;. staff does not report net debt Primary domestic currency: Honduran lempira Data last updated: 08/2019",57.103999999999999,69.302000000000007,78.146000000000001,79.200999999999993,86.811999999999998,95.236999999999995,111.364,114.596,119.806,135.79599999999999,145.947,151.78800000000001,164.48400000000001,178.56700000000001,194.756,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Hong Kong SAR  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Hong Kong SAR, China","General government total expenditure","National currency","Billions","Source: National Statistics Office. Data retrieved from CEIC Latest actual data: 2018/19 Fiscal assumptions: Projections are based on the authorities' medium-term fiscal projections on expenditures. Start/end months of reporting year: April/March GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Face value Instruments included in gross and net debt: Securities Other than Shares;. The definition of general government gross debt is revised to include debt liabilities identified in Hong Kong SAR's consolidated financial statement. It excludes the debt issued under the \"bond fund\" or provision for pension. As a result, the debt level is significantly lower. Primary domestic currency: Hong Kong dollar Data last updated: 09/2019",234.81399999999999,315.11200000000002,292.52499999999998,301.36,364.03699999999998,377.32499999999999,433.54300000000001,396.18299999999999,435.63299999999998,462.05200000000002,470.863,531.80999999999995,583.67600000000004,575.81100000000004,606.49800000000005,2019,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Hungary  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Hungary","General government total expenditure","National currency","Billions","Source: Ministry of Economy and/or Planning. Ministry of National Economy; Eurostat Latest actual data: 2018 Fiscal assumptions: Fiscal projections include IMF staff projections of the macroeconomic framework and of the impact of recent legislative measures, as well as fiscal policy plans announced in the 2018 budget. Start/end months of reporting year: January/December GFS Manual used: European System of Accounts (ESA) 2010 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Nonmonetary Financial Public Corporations;. State Government does not apply to Hungary Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Hungarian forint Data last updated: 09/2019",12785.953,13180.198,13298.474,13424.928,14017.433999999999,13968.191999999999,14930.695,16114.933000000001,17218.560000000001,16598.402999999998,17999.978999999999,19551.187000000002,21009.791000000001,21941.901999999998,22750.199000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Iceland  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Iceland","General government total expenditure","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Face value Instruments included in gross and net debt: Securities Other than Shares; Loans;. Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Net debt is calculated as gross debt minus assets in the form of currency and deposits. Primary domestic currency: Icelandic króna Data last updated: 09/2019",559.38699999999994,858.16099999999994,771.327,799.30499999999995,777.34199999999998,807.22799999999995,830.53099999999995,908.47900000000004,949.12599999999998,1108.713,1132.6130000000001,1167.934,1199.797,1273.806,1315.731,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Haiti  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["India","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. and IMF staff calculations Latest actual data: 2017/18. State Level data arrive with significantly longer lag than Central data. Fiscal assumptions: Historical data are based on budgetary execution data. Projections are based on available information on the authorities' fiscal plans, with adjustments for IMF staff assumptions. Subnational data are incorporated with a lag of up to one year; general government data are thus finalized well after central government data. IMF and Indian presentations differ, particularly regarding disinvestment and license-auction proceeds, net versus gross recording of revenues in certain minor categories, and some public-sector lending. Start/end months of reporting year: April/March. The original data from the authority is on FY (Apr/Mar) basis. GFS Manual used: Government Finance Statistics Manual (GFSM) 2001. Authority reported in GFSM 1986, staffs converted to GFSM 2001 Basis of recording: Cash General government includes: Central Government; State Government;. This is according to the authorities' account standards. Valuation of public debt: Nominal value. Authorities debt figures often Instruments included in gross and net debt: Securities Other than Shares; Loans; Other Primary domestic currency: Indian rupee Data last updated: 09/2019",13199.281999999999,16152.664000000001,18171.645,21365.300999999999,24147.723999999998,27210.645,29881.105,32691.542000000001,37262.267999999996,41912.894,45868.618000000002,49759.322,56706.517,62516.188999999998,69330.490000000005,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Indonesia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: IMF projections are based on moderate tax policy and administration reforms, and a gradual increase in social and capital spending over the medium term in line with fiscal space Start/end months of reporting year: January/December. From 2000 onward GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash. The budget in Indonesia is reported on cash basis. There is an ongoing project to change to accrual basis in their reporting in the coming years. General government includes: Central Government; Local Government;. The general government composition consists of Central Government and Subnational levels, including Provinces and municipalities. Social Security Funds will be included in the general government reporting in the future. Valuation of public debt: Face value. Book value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Indonesian rupiah Data last updated: 09/2019",804822.77099999995,1050154.5079999999,1023520.3320000001,1159098.284,1387241.1170000001,1622837.246,1821515.8389999999,1966625.2849999999,2014591.077,2086438.834,2250751.426,2467590.9780000001,2627283.3640000001,2830736.85,3076299.7030000002,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Iran, Islamic Republic of","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Notes: Excludes Targeted Subsidy Organization and National Development Fund Start/end months of reporting year: April/March GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash. Accrual accounting method is not used General government includes: Central Government;. General Government data set equal to Central Government since General Government data are not reported. Valuation of public debt: Nominal value Instruments included in gross and net debt: types of instruments are unavailable. Primary domestic currency: Iranian rial Data last updated: 09/2019",617566.69799999997,828825.50699999998,810201.92799999996,917548.27399999998,1165082.193,1039256,1415137.6,1735115.2,1990402.7,2487200,2865000,3408625.3229999999,3984210.702,5307298.3119999999,7083063.4539999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Iraq","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Current market value Instruments included in gross and net debt: Securities Other than Shares; Loans; Other Accounts Receivable/Payable; Other Primary domestic currency: Iraqi dinar  Data last updated: 09/2019",51406.137000000002,89904.107999999993,76990.152000000002,80344.081999999995,94252.995999999999,109041.145,132003.204,119791.01300000001,90023.126000000004,84218.099000000002,80056.384000000005,84689,116576.841,118410.705,119752.952,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Ireland  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Ireland","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Eurostat Latest actual data: 2018. Subcomponents of expenditures and revenues are as of 2017. Fiscal assumptions: Fiscal projections are based on the country's Budget 2019. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Other; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans;. Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Net debt is defined as gross debt less currency and deposits, debt securities, and loans. Primary domestic currency: Euro Data last updated: 09/2019",70.814999999999998,78.504999999999995,79.956999999999994,109.08799999999999,79.622,73.611999999999995,72.528999999999996,73.057000000000002,75.915000000000006,75.353999999999999,77.363,81.983000000000004,86.697000000000003,88.647000000000006,91.927000000000007,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Israel  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Israel","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. MoF and NSO Latest actual data: 2017 Fiscal assumptions: Historical data are based on Government Finance Statistics data prepared by the Central Bureau of Statistics.  The medium-term fiscal projections are not in line with the medium-term fiscal targets, consistent with long experience of revisions to those targets. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014 Basis of recording: Quasi-accrual basis. General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans;. Net debt subtracts liquidity financial assets from gross debt Primary domestic currency: Israeli shekel Data last updated: 08/2019",304.02199999999999,325.827,343.29300000000001,353.14100000000002,372.19900000000001,400.63600000000002,426.327,431.67099999999999,440.07400000000001,464.23899999999998,492.87200000000001,524.43799999999999,550.67499999999995,576.84699999999998,607.57500000000005,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Italy  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Italy","General government total expenditure","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 Fiscal assumptions: The IMF staff's estimates and projections are informed by the fiscal plans included in the government's 2019 budget and the April 2019 Economic and Financial Document. IMF staff assumes that the automatic value-added tax (VAT) hikes for future years will be canceled. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Euro Data last updated: 09/2019",753.12699999999995,780.66399999999999,804.66099999999994,800.49400000000003,808.56200000000001,819.33699999999999,819.38099999999997,825.50199999999995,830.41200000000003,828.67600000000004,844.89499999999998,853.61800000000005,863.71500000000003,883.35599999999999,900.33399999999995,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Jamaica","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018/19 Notes: All fiscal and debt series data in WEO are on fiscal year basis. Fiscal assumptions: Based on policies to be implemented under the SBA Start/end months of reporting year: April/March GFS Manual used: Government Finance Statistics Manual (GFSM) 1986. Public Bodies also  report in 1986 format. Basis of recording: Cash General government includes: Central Government;. The fiscal coverage is central government only Valuation of public debt: Nominal value. The debt coverage is central government and public bodies Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Shares and Other Equity; Other Accounts Receivable/Payable; Monetary Gold and SDRs Primary domestic currency: Jamaica dollar Data last updated: 09/2019",286.78899999999999,352.23,421.45800000000003,388.76799999999997,403.19200000000001,399.279,395.24200000000002,419.49099999999999,460.72,503.35599999999999,552.04999999999995,604.59699999999998,630.75199999999995,652.327,687.45299999999997,2019,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Japan  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Japan","General government total expenditure","National currency","Billions","Source: Cabinet Office of Japan via Haver database. Latest actual data: 2017. Authorities release fiscal data with a 10 month delay. Fiscal assumptions: The projections reflect the consumption tax rate increase in October 2019, the mitigating measures included in the FY2019 budget and tax reform, and other fiscal measures already announced by the government. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds;. Government in Japan consists of 3 layers: central, prefectural, and municipal. The latter two government levels are covered under local government. There is no government at the state level in Japan. Valuation of public debt: Current market value. Gross public debt is on unconsolidated basis. Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Insurance Technical Reserves; Other Accounts Receivable/Payable; Monetary Gold and SDRs; Other Primary domestic currency: Japanese yen Data last updated: 09/2019",180817.5,182060.2,193408.4,192882.3,193705,194882,198683.9,199841.5,202016.6,203389.3,203963.8,203512.76699999999,206164.44,208312.508,208829.101,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Jordan","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Nonfinancial Public Corporation;. Public sector coverage corresponds to the central government and, starting in 2007, it also includes the fiscal performance of two key SOEs: NEPCO (National Electric Power Company) and WAJ (Water Authority of Jordan). Due to data limitations, the net overall deficit of both public entities is included under other transfers. Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Jordanian dinar Data last updated: 09/2019",4.5609999999999999,5.4610000000000003,6.0170000000000003,6.1689999999999996,7.4720000000000004,8.2729999999999997,8.2200000000000006,9.3079999999999998,8.9559999999999995,8.0489999999999995,8.484,9.2639999999999993,9.5,9.9179999999999993,10.285,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Kazakhstan","General government total expenditure","National currency","Billions","Source: National Statistics Office Latest actual data: 2018 Fiscal assumptions: Budget Law and staff projections Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Kazakhstani tenge Data last updated: 09/2019",3045.99,4345.2520000000004,3991.72,4902.6930000000002,5997.1059999999998,6796.0540000000001,7130.9170000000004,8435.1740000000009,9350.3230000000003,10108.432000000001,13098.735000000001,11650.897999999999,13500.339,14790.153,15992.31,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Kenya  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Kenya","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018. Raw data is in fiscal year, which runs from July to June. Start/end months of reporting year: January/December. Reporting year is calendar year, done by taking the average of fiscal years. For example, 2000 is the average of 1999/2000 and 2000/2001. GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Current market value Instruments included in gross and net debt: Loans; Shares and Other Equity Primary domestic currency: Kenya shillings Data last updated: 09/2019",475.34500000000003,566.78099999999995,662.49,767.35900000000004,878.27700000000004,1030.232,1205.0730000000001,1466.837,1708.9559999999999,1941.8520000000001,2128.3319999999999,2268.1080000000002,2548.5010000000002,2826.6289999999999,3115.46,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Kiribati","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986. GFS manual adjusted for data shortcomings Basis of recording: Cash General government includes: Central Government Primary domestic currency: Australian dollar Data last updated: 09/2019",0.128,0.13900000000000001,0.13400000000000001,0.13700000000000001,0.154,0.16900000000000001,0.16400000000000001,0.22500000000000001,0.23200000000000001,0.27500000000000002,0.26800000000000002,0.38900000000000001,0.371,0.33,0.28699999999999998,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Korea, Rep  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Korea, Rep.","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Notes: The series on general government debt does not include non-market non-profit institutions. Fiscal assumptions: The medium-term forecast incorporates the medium-term path for public spending announced by government. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government;. For government gross/net debt only, general government includes central government and local governments. The series on general government debt does not include non-market non-profit institutions. Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Korean won Data last updated: 09/2019",213396.122,229789.55900000001,245273.34700000001,246379.731,264870.52899999998,283219,298734,308797,327262,339236,360492,386907,423501.397,457675.06199999998,487354.86700000003,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Kosovo","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Includes IFI and privatization-proceed financed capital projects, which are not part of the \"fiscal rule\" definition. Fiscal assumptions: Authorities Budget and medium-term expenditure framework as well as staff expectations. Start/end months of reporting year: January/December GFS Manual used: Other Basis of recording: Cash General government includes: Central Government; Local Government; Other; Valuation of public debt: Face value Primary domestic currency: Euro Data last updated: 09/2019",0.66100000000000003,0.94199999999999995,1.0940000000000001,1.2130000000000001,1.361,1.4379999999999999,1.486,1.476,1.5680000000000001,1.6850000000000001,1.7689999999999999,1.9490000000000001,2.141,2.2130000000000001,2.2530000000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Kuwait","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017. latest source data are FY 2017/18 Fiscal assumptions: Staff projections Start/end months of reporting year: January/December. Source data comes in fiscal year (March/April) basis. Calendar year data calculated by IMF staff using a weighted average of the fiscal data. GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Mixed. Some transactions recorded on accrual basis. General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Loans Primary domestic currency: Kuwaiti dinar Data last updated: 09/2019",9.8000000000000007,16.004999999999999,12.866,14.8,16.603999999999999,18.911000000000001,18.841000000000001,20.495999999999999,18.754999999999999,17.77,18.812000000000001,21.117999999999999,22.23,23.030999999999999,24.14,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Kyrgyz Republic","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Not reported according to GFS Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds;. Net lending/borrowing Includes loans on-lent to state-owned enterprises in the energy sector as part of the government's public investment program. Valuation of public debt: Face value Primary domestic currency: Kyrgyz som Data last updated: 09/2019",41.994999999999997,52.42,65.480999999999995,81.772000000000006,106.867,126.001,135.535,156.12100000000001,164.76499999999999,190.011,203.22300000000001,190.04400000000001,211.09800000000001,225.48699999999999,246.65600000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Lao PDR","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government Primary domestic currency: Lao kip Data last updated: 09/2019",6896.6540000000005,8340.14,11014.450999999999,13888.555,14528.620999999999,20173.192999999999,22753.161,26685.460999999999,30230.129000000001,27257.999,30339.052,30345.623,32915.576000000001,36803.75,40354.425999999999,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Latvia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Public debt covers debt of the general government excluding debt of the commercial companies and institutional units, reclassified by the Central Statistical Bureau (CSB) in the general government (central and local government) sector. It does not include liabilities in the form of other accounts payable. Start/end months of reporting year: January/December GFS Manual used: European System of Accounts (ESA) 2010 Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Euro Data last updated: 09/2019",7.4779999999999998,8.9160000000000004,8.0559999999999992,7.718,7.883,8.1370000000000005,8.4920000000000009,8.93,9.1880000000000006,9.1649999999999991,9.8460000000000001,11.098000000000001,11.397,11.871,12.246,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Lebanon","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Fiscal assumptions: Revenue projections are made based on the macroeconomic assumptions and revenue buoyancy of various taxes (as measures by elasticity measures and staff's understanding of the authorities' tax policy measures). On the spending side, projections reflect the authorities' projections, with a few deviations to take into account key macroeconomic assumptions (e.g., WEO oil price for subsidies to the electricity company). Monetary projections are based on key assumptions on deposits growth, dollarization and credit to private sector. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001. GFSM 2001 has been adopted but should be refined. Budgetary expenditure data are reported on a modified cash basis, corresponding to the issuance of payment orders. Basis of recording: Mixed. Modified cash basis (only corrects for arrears) General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits;. Information on the size of public assets is not available in case of Lebanon. Net debt is calculated as gross debt minus value of government's accounts at the central bank.\" Primary domestic currency: Lebanese pound Data last updated: 08/2019",13171.951999999999,15067.536,17122.839,16894.317999999999,17347.142,20058.556,20434.523000000001,20905.324000000001,20065.762999999999,21808,24438.62,26753.600999999999,27574.857,31353.865000000002,33216.550999999999,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Lesotho","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Start/end months of reporting year: April/March GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Local Government; Valuation of public debt: Current market value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Lesotho loti Data last updated: 07/2019",5.9160000000000004,7.7069999999999999,9.7949999999999999,9.2560000000000002,11.465999999999999,12.117000000000001,13.972,13.726000000000001,15.709,16.780999999999999,16.113,17.463999999999999,18.776,19.635000000000002,21.114999999999998,2018,null,null,{"$f":"VLOOKUP(A101,ILO_SP_calcs,3,FALSE)","v":{"$error":"#NAME?"}},{"$error":"#NAME?"}]
["Liberia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Grants include most of off-budget grant disbursements. The fiscal data are observed from 2014, and the historical series are spliced. Debt relief was granted in 2009, which explained the high number for that year in general government net lending/borrowing. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Loans; Other Accounts Receivable/Payable Primary domestic currency: U.S. dollars Data last updated: 09/2019",0.23200000000000001,0.36199999999999999,0.41899999999999998,0.496,0.70399999999999996,0.82199999999999995,1.01,1.014,1.1459999999999999,1.163,1.0960000000000001,1.0529999999999999,1.103,1.1339999999999999,1.1419999999999999,2018,null,null,{"$error":"#NAME?"},{"$f":"HLOOKUP(X102,WEO_Total,ROW()-1,FALSE)","v":{"$error":"#NAME?"}}]
["Libya","General government total expenditure","National currency","Billions","Source: Ministry of  Finance Latest actual data: 2018. Until 2018Q3 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; State Government; Local Government; Valuation of public debt: Face value Primary domestic currency: Libyan dinar Data last updated: 09/2019",28.727,43.533999999999999,45.947000000000003,50.552,23.366,45.978000000000002,58.133000000000003,44.177999999999997,43.264000000000003,37.36,40.127000000000002,49.274000000000001,52.4,52.399000000000001,53.341999999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Lithuania","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: ?gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable Fiscal assumptions: Fiscal projections for the current year take into account performance so far. Projections for future years are passive to the extent new policy measures have not been specified. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value. This is the format of data presented by the authorities. Primary domestic currency: European euro Data last updated: 09/2019",10.004,12.11,11.757,11.55,12.981,11.744,12.135999999999999,12.443,12.847,12.95,13.63,14.994,16.488,17.399999999999999,18.356000000000002,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Luxembourg  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Luxembourg","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable Fiscal assumptions: Projections are based on the authorities' best understanding of the new government's plans for 2019 and the medium term Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Euro Data last updated: 07/2019",14.055999999999999,15.135,16.692,17.728999999999999,18.286999999999999,19.440000000000001,20.143999999999998,20.908999999999999,21.617000000000001,22.317,23.763999999999999,25.378,26.863,28.219000000000001,29.507999999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Macao SAR  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Macao SAR","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017. Part of the 2018 data is estimated because it is not available yet. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014 Basis of recording: Cash General government includes: Central Government; Social Security Funds; Valuation of public debt: Face value Primary domestic currency: Macanese pataca",18.661999999999999,26.454000000000001,33.636000000000003,38.709000000000003,44.854999999999997,52.421999999999997,46.420999999999999,57.445,64.516999999999996,67.816000000000003,75.406000000000006,82.722999999999999,85.319000000000003,91.573999999999998,94.442999999999998,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Madagascar","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash. Mostly cash General government includes: Central Government; Local Government;. Data is for central government Primary domestic currency: Malagasy ariary Data last updated: 08/2019",2569.674,2878.6779999999999,2353.1550000000002,2562.1289999999999,2816.857,2926.7820000000002,3482.625,3796.63,4327.7889999999998,5098.2240000000002,6135.1670000000004,6585.1109999999999,8442.0020000000004,9849.5110000000004,11206.992,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Malawi","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Start/end months of reporting year: July/June GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government Primary domestic currency: Malawi kwacha Data last updated: 08/2019",181.035,217.31,247.143,288.06599999999997,299.80500000000001,398.23500000000001,595.90300000000002,668.74599999999998,884.01700000000005,1096.644,1375.3309999999999,1393.424,1522.51,1659.606,1861.7729999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Malasia is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Malaysia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Fiscal projections are based on budget numbers, discussion with the authorities, and IMF staff estimates Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; State Government; Local Government;. General government also includes 79 statutory bodies with individual budgets. Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Malaysian ringgit Data last updated: 09/2019",180.42099999999999,217.10499999999999,230.643,221.643,250.477,280.79199999999997,286.99200000000002,291.279,290.8,283.65199999999999,295.97199999999998,328.49299999999999,350.67399999999998,331.45800000000003,353.25,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Maldives","General government total expenditure","National currency","Billions","Source: Ministry of Finance and Treasury Latest actual data: 2018. budget estimates Start/end months of reporting year: January/December. Calendar GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value. During the mission in Oct/Nov 2010, we found that the public guaranteed SOE debt for 2009 was only 20 percent of the figure previously reported. As a result, public debt to GDP ratio has declined significantly for 2009. Primary domestic currency: Maldivian rufiyaa Data last updated: 09/2019",8.2889999999999997,10.3,11.09,10.946999999999999,12.129,12.994,13.829000000000001,19.07,21.39,24.457000000000001,22.53,25.451000000000001,27.638000000000002,30.506,32.529000000000003,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Mali","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Approved budget and agreed program budget for current year; authorities' medium-term fiscal framework plus staff estimates for outer years. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Expenditure is reported on accrual basis, revenue on a cash basis (except for corporate income tax, which has a separate reporting regime) General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares Primary domestic currency: CFA franc Data last updated: 09/2019",838.95,828.24,1097.7919999999999,1071.6020000000001,1259.1859999999999,986.59100000000001,1292.3599999999999,1419.8589999999999,1622.2650000000001,1850.096,2045.0250000000001,1925.539,2571.3449999999998,2511.3870000000002,2675.8449999999998,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Malta","General government total expenditure","National currency","Billions","Source: NSO data via Eurostat Latest actual data: 2018 Fiscal assumptions: Projections are based on the latest Stability Programme Update by the authorities and budget documents, adjusted for staff's macroeconomic and other assumptions. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans;. Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Primary domestic currency: Euro Data last updated: 09/2019",2.3690000000000002,2.613,2.5710000000000002,2.71,2.819,3.0619999999999998,3.2069999999999999,3.4950000000000001,3.819,3.778,4.0419999999999998,4.532,5.0140000000000002,5.2089999999999996,5.5090000000000003,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Marshall Islands","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2016/17 Start/end months of reporting year: October/September. Data only available for Fiscal Year for most series, the desk estimates calendar year data are the same with fiscal year data. GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Face value Primary domestic currency: U.S. dollar Data last updated: 09/2019",0.10100000000000001,9.4E-2,9.5000000000000001E-2,9.5000000000000001E-2,9.6000000000000002E-2,9.6000000000000002E-2,0.10299999999999999,9.1999999999999998E-2,0.10299999999999999,0.115,0.13600000000000001,0.13500000000000001,0.153,0.16,0.16600000000000001,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Mauritania","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Loans Primary domestic currency: New Mauritanian Ouguiya Data last updated: 09/2019",22.094000000000001,24.574000000000002,24.286000000000001,26.9,32.396999999999998,42.996000000000002,43.673999999999999,47.91,51.369,46.978000000000002,49.408000000000001,50.634,55.326000000000001,61.853000000000002,68.388000000000005,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Mauritius","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Notes: The overall balance (Central Government net lending and borrowing)  and primary balance series do not include flows from extra-budgetary funds starting in 2007. Fiscal assumptions: Authorities and Staff Calculations Start/end months of reporting year: July/June GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash. Few non-cash calculations. General government includes: Central Government; Local Government; Nonfinancial Public Corporation; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Mauritian rupee Data last updated: 09/2019",55.680999999999997,65.388000000000005,74.366,75.049000000000007,79.569999999999993,80.114999999999995,91.048000000000002,92.213999999999999,102.94499999999999,109.55500000000001,112.5,121.604,130.24199999999999,140.47900000000001,147.64400000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Mexico","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Fiscal projections for 2019 are broadly in line with the approved budget; projections for 2020 onward assume compliance with rules established in the Fiscal Responsibility Law. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014. Currently the Mexico team is submitting data to WEO using GFSM 2014 classification by making a range of adjustments based on additional data provided by the Mexican authorities for the period 2008-2017. Thus, the series display a statistical break in 2008. The GFSM classification is also used to present fiscal tables in the Art IV reports (in addition to standard tables used for discussion with Mexican authorities). Accrual data are not available to the Mexico team. Basis of recording: Cash General government includes: Central Government; Social Security Funds; Nonmonetary Financial Public Corporations; Nonfinancial Public Corporation;. Includes central government,  social security funds, state-owned enterprises, public development banks but excludes state and local governments. Valuation of public debt: Face value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Mexican peso Data last updated: 09/2019",2713.05,3426.1120000000001,3380.623,3699.0630000000001,4064.7739999999999,4462.8069999999998,4521.3810000000003,4887.991,5106.6149999999998,5505.7550000000001,5638.335,6036.8509999999997,6275.7650000000003,6363.5969999999998,6617.4539999999997,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Micronesia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Fiscal assumptions: Accrual basis following fiscal year Start/end months of reporting year: October/September GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Other General government includes: Central Government; State Government; Local Government; Social Security Funds; Valuation of public debt: Face value Primary domestic currency: U.S. dollar Data last updated: 08/2019",0.152,0.156,0.17799999999999999,0.2,0.20300000000000001,0.21299999999999999,0.189,0.17299999999999999,0.17599999999999999,0.20499999999999999,0.23400000000000001,0.25700000000000001,0.26200000000000001,0.25700000000000001,0.26,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Micronesia is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Moldova","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Various bases and  growth rates for GDP, consumption , import, wages, energy prices, demographic changes. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Local Government;. General government includes: Central and Local Governments. Central Government debt includes expenditure arrears and guarantees issued in 2014 and 2015. Local government debt is recorded starting from 2007 and is available for maturities longer than one year. Valuation of public debt: Nominal value Primary domestic currency: Moldovan leu Data last updated: 08/2019",22.821000000000002,26.111000000000001,27.375,29.417000000000002,32.162999999999997,35.512999999999998,38.779000000000003,44.572000000000003,46.502000000000002,48.774000000000001,54.823,59.972999999999999,69.757999999999996,75.989000000000004,81.287000000000006,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Moldova  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Mongolia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; State Government; Local Government; Social Security Funds; Other; Valuation of public debt: Face value Primary domestic currency: Mongolian togrog Data last updated: 09/2019",1749.701,2466.7739999999999,2336.63,3080.6849999999999,4997.04,6017.8010000000004,6164.6850000000004,7144.5680000000002,7137.9740000000002,9495.3330000000005,9012.9920000000002,9222.9429999999993,11271.894,13061.32,15409.287,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Montenegro","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Medium-Term framework and fiscal policy Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001. 2001 used for stock data. Other fiscal data uses: Government Finance Statistics Manual (GFSM) 1986. Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Net debt data is available only for the most recent years due to unavailability of earlier data. Primary domestic currency: Euro Data last updated: 08/2019",1.179,1.5860000000000001,1.5369999999999999,1.458,1.478,1.454,1.5409999999999999,1.5289999999999999,1.696,1.879,2.0289999999999999,2.2029999999999998,2.1949999999999998,2.1019999999999999,2.0979999999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Morocco","General government total expenditure","National currency","Billions","Source: Ministry of Economy and/or Planning Latest actual data: 2018. Preliminary Fiscal assumptions: Authorities' and staff estimates Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government;. Other level fiscal data is not available from the authorities. Valuation of public debt: Face value Instruments included in gross and net debt: Securities Other than Shares; Loans;. Net debt is calculated as gross debt minus government deposits in the central bank. Primary domestic currency: Moroccan dirham Data last updated: 09/2019",185.214,219.23099999999999,227.66300000000001,243.78,277.17099999999999,298.59100000000001,295.71100000000001,304.21300000000002,303.33,309.42200000000003,319.51900000000001,331.11599999999999,344.79899999999998,357.37200000000001,376.06700000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Mozambique","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Fiscal projections assume an increase in revenue to GDP in line with nominal GDP growth, commensurate increase in domestic primary spending, grants, and a relative decline in project-based borrowing. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Mix accrual and cash basis General government includes: Central Government; State Government; Valuation of public debt: Nominal value. Authorities report on stock of debt on a nominal basis. Data for the DSA are calculated discounting maturities over the relevant period Instruments included in gross and net debt: OT's BT's, other financing , leasing and captures State-owned Enterprises debt not previously reported. Primary domestic currency: Mozambican metical Data last updated: 08/2019",58.447000000000003,66.852999999999994,86.700999999999993,103.158,122.80800000000001,133.56299999999999,164.65899999999999,226.107,208.458,221.32900000000001,252.43299999999999,273.07799999999997,350.48599999999999,376.036,389.988,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Myanmar","General government total expenditure","National currency","Billions","Source: Historical data up to 2017 have been re-estimated by IMF staff to ensure data consistency after the change of fiscal year from April-March to October-September. Latest actual data: 2017/18 Fiscal assumptions: Fiscal projections are made based on budget numbers, discussions with the authorities, and staff adjustments. Start/end months of reporting year: October/September. In 2018, Myanmar authorities changed the fiscal year to 1 October to 30 September from previously 1 April to 31 March. Historical data up to 2017 have been re-estimated by IMF staff to ensure data consistency. GFS Manual used: Government Finance Statistics Manual (GFSM) 2014. Includes adjustments by staff towards GFSM 2014 presentation. Historical data up to 2011/2012 are calculated by staff using GFSM 2001 manual, as they are not available in GFSM 2014 presentation. Basis of recording: Cash General government includes: Central Government; Nonfinancial Public Corporation; Valuation of public debt: Face value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Myanmar kyat Data last updated: 09/2019",3263.4349999999999,3778.2809999999999,4310.1469999999999,5283.1329999999998,5999.6030000000001,8842.6710000000003,12326.398999999999,14655.476000000001,16700.763999999999,17099.115000000002,17240.583999999999,19336.328000000001,21538.517,25117.232,28887.268,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Namibia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018/19 Start/end months of reporting year: April/March GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Primary domestic currency: Namibia dollar Data last updated: 08/2019",16.061,19.907,24.04,27.645,34.665999999999997,37.445999999999998,44.982999999999997,56.350999999999999,63.771999999999998,65.861999999999995,65.355999999999995,66.052999999999997,69.364999999999995,75.239999999999995,81.573999999999998,2019,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Nauru","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2016/17. Latest actual data provided is for fiscal year 2015/16. However, this is not from government's audited accounts. The latest government financial statement in FY 2014/15 Start/end months of reporting year: July/June GFS Manual used: Government Finance Statistics Manual (GFSM) 2001. The GFS manual is only partially used. Basis of recording: Mixed General government includes: Central Government; Valuation of public debt: Face value Primary domestic currency: Australian dollar Data last updated: 08/2019","n/a","n/a",4.1000000000000002E-2,0.04,0.03,4.9000000000000002E-2,6.6000000000000003E-2,8.2000000000000003E-2,0.10299999999999999,0.128,0.14599999999999999,0.155,0.16500000000000001,0.17599999999999999,0.184,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Nauru  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Nepal","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Start/end months of reporting year: August/July. Fiscal year starts on July 16th, and ends July 15th the following year GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government;. Coverage of fiscal accounts in Nepal is limited to Central Government. Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Nepalese rupee Data last updated: 08/2019",108.79300000000001,124.584,191.41800000000001,223.86799999999999,254.86099999999999,294.851,302.05399999999997,370.226,428.25099999999998,494.54899999999998,727.27599999999995,967.63400000000001,1058.5619999999999,1193.627,1325.569,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Nepal  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Netherlands","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Fiscal assumptions: Fiscal projections for the period 2019-24 are based on the authorities' Bureau for Economic Policy Analysis budget projections, after differences in macroeconomic assumptions are adjusted for. Historical data were revised following the June 2014 Central Bureau of Statistics release of revised macro data because of the adoption of the European System of National and Regional Accounts (ESA 2010) and the revisions of data sources. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Euro Data last updated: 09/2019",257.23399999999998,274.00700000000001,292.11,300.67200000000003,298.875,299.98899999999998,301.80399999999997,301.70699999999999,302.24200000000002,303.072,313.30500000000001,325.517,343.67700000000002,359.18799999999999,369.55200000000002,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Netherlands  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["New Zealand","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18. Available as fiscal year (July/June) converted to calendar year (Jan/Dec) as average of two adjacent fiscal years Fiscal assumptions: Fiscal projections are based on the fiscal year 2019/20 budget and IMF staff estimates. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government;. Central government and local governments Valuation of public debt: Current market value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Shares and Other Equity Primary domestic currency: New Zealand dollar Data last updated: 08/2019",67.948999999999998,73.082999999999998,77.623000000000005,86.701999999999998,89.436999999999998,85.846000000000004,88.051000000000002,90.71,93.733999999999995,97.334999999999994,102.011,107.48099999999999,113.306,118.928,123.229,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"New Zealand  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Nicaragua","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Loans; Shares and Other Equity; Other Accounts Receivable/Payable Primary domestic currency: Nicaraguan córdoba Data last updated: 09/2019",29.445,36.040999999999997,38.395000000000003,42.252000000000002,51.581000000000003,59.728999999999999,65.718000000000004,75.828000000000003,88.869,101.88200000000001,112.04900000000001,113.01600000000001,113.90300000000001,118.2,113.499,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Niger","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Fiscal assumptions: Fiscal projections for 2015 are based on the authorities' budget whereas the 2016 forecast was made to have a 1.7 per cent of GDP fiscal consolidation (compared to 2015). Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Accrual General government includes: Central Government; Valuation of public debt: Nominal value Primary domestic currency: CFA franc Data last updated: 08/2019",475.94200000000001,547.86699999999996,609.86500000000001,584.07000000000005,586.99699999999996,799.19,1030.296,1263.7349999999999,1387.6859999999999,1187.914,1267.069,1505.3230000000001,1615.72,1704.538,1778.7639999999999,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Nigeria","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Historical data series, annual budget and MTEF at the Federal Government level, and additional data from the authorities Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash. Fiscal data are based on execution data received from the authorities. General government includes: Central Government; State Government; Local Government; Valuation of public debt: Current market value Instruments included in gross and net debt: Currency and Deposits;. AMCON debt and CBN overdraft. Primary domestic currency: Nigerian naira Data last updated: 09/2019",5967.3829999999998,5629.0020000000004,6850.7879999999996,9232.6929999999993,11055,10201.939,10835.232,11396.59,10539.512000000001,9735.0830000000005,13797.064,16828.758999999998,18392.991000000002,19438.417000000001,21155.751,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["North Macedonia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Due to limited data on government assets, our net debt currently reflects gross debt net of government deposits. Fiscal assumptions: Budget forecast and medium term projections. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986. Lending minus repayment is included in total expenditures Basis of recording: Cash General government includes: Central Government; State Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Loans Primary domestic currency: Macedonian denar Data last updated: 09/2019",117.26900000000001,140.07400000000001,139.15600000000001,142.167,147.87,155.21100000000001,158.947,167.33500000000001,180.108,185.01,196.33099999999999,200.024,224.01599999999999,241.345,252.44200000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Norway  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Norway","General government total expenditure","National currency","Billions","Source: National Statistical Office and Ministry of Finance Latest actual data: 2018 Fiscal assumptions: The fiscal projections are based on the latest 2019 revised budget. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Current market value Instruments included in gross and net debt: Securities Other than Shares;. Treasury bills with maturity of up to one year, and bonds with maturity of up to 10 years. Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Primary domestic currency: Norwegian krone Data last updated: 09/2019",960.11699999999996,1033.268,1102.9269999999999,1148.1320000000001,1205.1220000000001,1254.127,1331.248,1418.0719999999999,1497.289,1557.7529999999999,1628.174,1694.905,1757.991,1818.36,1896.2049999999999,2018,null,null,{"$f":"VLOOKUP(A133,ILO_SP_calcs,3,FALSE)","v":{"$error":"#NAME?"}},{"$error":"#NAME?"}]
["Oman","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Staff estimate for the asset side of government net debt is based on governments deposits with central bank and State General Reserve Fund liquid assets. Fiscal assumptions: Staff estimates Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans; Other Accounts Receivable/Payable;. Securities other than shares includes government bills and treasury bonds. Net debt is equal to gross debt less governments deposits with central bank and State General Reserve Fund liquid assets. Primary domestic currency: Omani rial Data last updated: 09/2019",5.7060000000000004,6.867,7.1159999999999997,7.6429999999999998,10.279,12.983000000000001,13.587999999999999,14.763,13.481,12.888,12.425000000000001,13.836,12.722,13.138,13.564,2018,null,null,{"$error":"#NAME?"},{"$f":"HLOOKUP(X134,WEO_Total,ROW()-1,FALSE)","v":{"$error":"#NAME?"}}]
["Pakistan","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18. Central government and general government net lending/borrowing exclude payments for electricity arrears and commodity operations in the fiscal years 2009/10, 2010/11, and 2011/12. Notes: Pakistan's data for the projection years exclude payments for electricity arrears and commodity operations. Fiscal assumptions: Staff estimates. Start/end months of reporting year: July/June GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; State Government; Local Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Other;. Government gross debt and net debt figures include IMF obligations. Primary domestic currency: Pakistan rupee Data last updated: 09/2019",1800.0029999999999,2280.9720000000002,2544.1999999999998,3023.5230000000001,3536.36,4341.2190000000001,4884.7929999999997,5057.7449999999999,5425.8270000000002,5796.2650000000003,6800.5219999999999,7488.3220000000001,8328.7729999999992,10521.927,11745.916999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Palau","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Fiscal assumptions: Fiscal projections assume that current expenditure growth is contained. Start/end months of reporting year: October/September GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Other General government includes: Central Government; Valuation of public debt: Face value Primary domestic currency: U.S. dollar Data last updated: 09/2019",9.6000000000000002E-2,8.7999999999999995E-2,7.8E-2,8.7999999999999995E-2,8.5000000000000006E-2,9.2999999999999999E-2,0.09,9.8000000000000004E-2,0.1,0.114,0.10100000000000001,0.108,0.11700000000000001,0.11799999999999999,0.12,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Panama","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018. The NFPS excludes the Panama Canal Authority and three other public enterprises. Notes: Net debt is calculated as the difference between gross debt of the NFPS and assets of Panama's Sovereign Wealth Fund. Fiscal assumptions: Budget Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; State Government; Local Government; Social Security Funds; Nonfinancial Public Corporation; Valuation of public debt: Nominal value Primary domestic currency: U.S. dollar Data last updated: 08/2019",4.8179999999999996,5.9169999999999998,6.37,7.3220000000000001,8.4160000000000004,9.5329999999999995,10.962,11.614000000000001,11.875,12.694000000000001,13.602,14.134,14.438000000000001,14.91,15.41,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Papua New Guinea  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Papua New Guinea","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2015 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Face value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Papua New Guinea kina Data last updated: 09/2019",5.101,6.2249999999999996,7.8920000000000003,7.1280000000000001,8.3949999999999996,9.9469999999999992,13.176,15.454000000000001,13.759,13.571999999999999,13.32,17.062000000000001,16.945,17.241,17.564,2015,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Paraguay","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: General Government accounts on a cash basis Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; State Government; Local Government; Social Security Funds; Monetary Public Corporations, incl. central bank; Nonfinancial Public Corporation; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Paraguayan guaraní Data last updated: 09/2019",12673.977999999999,13770.732,16882.751,19063.669000000002,22426.377,27510.067999999999,29384.422999999999,32364.821,38555.180999999997,39816.968999999997,42664.82,45659.313999999998,46544.900999999998,50834.13,55345.586000000003,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Peru","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Ministry of Finance and Central Bank Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash. Cash for revenues and accrual for expenditures General government includes: Central Government; State Government; Local Government; Social Security Funds; Valuation of public debt: Face value Primary domestic currency: Peruvian nuevo sol Data last updated: 09/2019",59.441000000000003,69.593999999999994,78.290999999999997,88.159000000000006,92.968999999999994,103.357,117.727,129.89400000000001,136.50899999999999,138.20099999999999,148.31700000000001,158.596,166.51900000000001,177.04900000000001,186.31700000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Philippines","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Department of Finance Latest actual data: 2018. Data accommodates actual figures for national government revenue and expenditure, but reflects projections for local governments and social security institutions. Fiscal assumptions: Revenue projections reflect the IMF staff's macroeconomic assumptions and incorporate anticipated improvements in tax administration. Expenditure projections are based on budgeted figures, institutional arrangements, and current data in each year. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash. Classification of revenues and expenses is based on GFSM 2001, but the accounting method is on a cash basis. General government includes: Central Government; Local Government; Social Security Funds;. Local governments comprise provinces, cities, and municipalities. Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans; Other Accounts Receivable/Payable Primary domestic currency: Philippine peso Data last updated: 09/2019",1308.915,1439.71,1611.742,1724.6320000000001,1739.2919999999999,1997.7829999999999,2152.1010000000001,2285.7170000000001,2499.817,2822.5279999999998,3155.96,3793.346,4000.683,4560.6719999999996,5070.2870000000003,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Poland is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Poland","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Eurostat Latest actual data: 2018 Notes: gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable Fiscal assumptions: Data is on a ESA-95 2004 and prior. Data is on ESA-2010 beginning 2005 (accrual) basis. Projections are based on the 2019 budget and take into account any subsequent legislated fiscal measures. Announced but not legislated fiscal measures are not reflected in the projections. Start/end months of reporting year: January/December GFS Manual used: European System of Accounts (ESA) 2010 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Face value Primary domestic currency: Polish zloty Data last updated: 09/2019",513.14400000000001,569.66700000000003,618.07399999999996,662.05499999999995,687.51800000000003,698.36199999999997,705.75,729.36900000000003,750.19600000000003,765.04100000000005,820.19100000000003,879.03,965.78099999999995,1031.4590000000001,1077.8900000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Portugal is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Portugal","General government total expenditure","National currency","Billions","Source: National Statistics Office Latest actual data: 2018. General government statistics in 2017 are provisional and will be updated after the actual data are published. Notes: Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Fiscal assumptions: The projections for the current year are based on the authorities' approved budget, adjusted to reflect the IMF staff's macroeconomic forecast. Projections thereafter are based on the assumption of unchanged policies. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Other; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Euro Data last updated: 09/2019",78.123999999999995,81.093000000000004,88.116,93.236999999999995,88.111999999999995,81.718999999999994,85.031999999999996,89.516999999999996,86.484999999999999,83.563999999999993,88.876000000000005,88.626999999999995,91.388000000000005,93.688000000000002,96.105000000000004,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Puerto Rico is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Puerto Rico","General government total expenditure","National currency","Billions","Source: Government Development Bank of Puerto Rico; and Fiscal and Economic Growth Plan Latest actual data: 2015/16 Notes: Last available fiscal data are from FY 2015/16. Fiscal assumptions: Fiscal projections are based on the Puerto Rico Fiscal and Economic Growth Plans (FEGPs), which were prepared in October 2018, and certified by the Oversight Board. In line with assumptions of this plan, IMF projections assume federal aid for rebuilding after Hurricane Maria devastated the island in September 2017. The projections also assume revenue losses from the following: Puerto Rico will lose federal funding for the Affordable Care Act (ACA) starting in 2020; federal tax incentives, which were neutralizing the effects of Puerto Rico's Act 154 on foreign companies, will begin to decline starting in 2018; and the effects of Tax Cuts and Jobs Act which reduce tax advantage of U.S. companies producing in Puerto Rico will narrow this revenue base. Given sizable policy uncertainty, some FEGP and IMF assumptions may differ, in particular, those relating to the effects of the corporate tax reform, tax compliance and tax adjustments (fees and rates); reduction of subsidies, freezing of payroll operational costs, improvement of mobility, and reduction of expenses; and increasing health care efficiency. On the expenditure side, measures include extension of Act 66, which freezes much government spending, through 2020; reduction of operating costs; decreases in government subsidies; and spending cuts in education. Although IMF policy assumptions are similar to those in the FEGP scenario with full measures, the IMF's projections of fiscal revenues, expenditures, and balance are different from FEGP's. This stems from two main differences in methodologies. First, IMF projections are on an accrual basis, FEGP's are on a cash basis. Second, the IMF and FEGP make very different macroeconomic assumptions. Start/end months of reporting year: July/June GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual. IMF calculations are based on an accrual basis, whereas authorities' calculations are based on a cash basis. General government includes: General government is defined as all general governmental entities, excluding Puerto Rico Electric Power Authority (PREPA) and Puerto Rico Aqueducts and Sewers Authority (PRASA). General government entities include the General Fund, Puerto Rico Infrastructure Financing Authority (PRIFA), Puerto Rico Sales Tax Financing Corporation (COFINA), Puerto Rico Industrial Development Company (PRIDCO), Highways and Transportation Authority (HTA), University of Puerto Rico (UPR), Government Development Bank of Puerto Rico (GDB), and Municipal Revenues Collection Center (CRIM). In addition, pension funds (ERS, TRS, and JRS) are also considered as part of general government. Valuation of public debt: Current market value. Data for public debt have been provided by the authorities. The definition of government for public debt data excludes PREPA and PRASA and includes all other entities of general government in fiscal accounts. Primary domestic currency: U.S. dollar Data last updated: 08/2019","n/a","n/a","n/a","n/a","n/a","n/a","n/a",23.065000000000001,22.24,21.885000000000002,22.72,24.614999999999998,25.045000000000002,24.448,22.414999999999999,2016,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Qatar","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Other;. As a first step towards a more comprehensive coverage of fiscal data, staff estimated SWF return and added it to government's revenues (and therefore to the balance). This adjustment was done at the level of general government, in order to avoid changes to central government data (which is official).  In addition, Net Debt now includes SWF assets. Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Shares and Other Equity; Other Primary domestic currency: Qatari riyal Data last updated: 09/2019",81.474000000000004,96.531000000000006,116.959,139.41999999999999,174.06100000000001,210.732,204.65899999999999,250.70699999999999,248.82,221.685,203.26499999999999,206.19499999999999,209.85499999999999,210.196,214.566,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Romania","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Gross debt: gross debt excluding guarantees (calculated using the national presentation, i.e. GEO no 64/2007). Net debt: gross debt excluding guarantees (calculated using the national presentation, i.e. GEO no 64/2007), adjusted for currency and deposits, debt securities and loans of general government. Fiscal assumptions: The fiscal projections for 2018 reflect legislated changes up to the end of 2017. Those for 2019 and beyond assume that the government target deficit is achieved by adjusting capital spending. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001. Fiscal sector records on a majority-accrual basis, except with respect to WEO indicators, which are recorded on a GFS-01 cash basis. Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Other;. Also includes Road Company and Health and Employment Funds. Valuation of public debt: Face value Primary domestic currency: Romanian leu Data last updated: 08/2019",147.14099999999999,190.40700000000001,192.78200000000001,202.256,205.404,207.92099999999999,215.81,225.80799999999999,243.42599999999999,239.27,264.161,304.30200000000002,344.13600000000002,373.23700000000002,400.05200000000002,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Russian Federation","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Projections for 2019-24 are based on the new oil price rule, with adjustments by IMF staff. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash is reported on a high frequency basis, accrual is reported on an annual basis with a significant lag. General government includes: Central Government; State Government; Social Security Funds; Valuation of public debt: Current market value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Shares and Other Equity; Other Accounts Receivable/Payable Primary domestic currency: Russian ruble Data last updated: 09/2019",11378.578,14157.027,16048.335999999999,17616.655999999999,19994.645,23174.718000000001,25290.909,27611.666000000001,29307.780999999999,31323.68,31989.128000000001,33880.686000000002,37036.938999999998,39082.881999999998,41804.425000000003,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Rwanda","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986. Authorities are transitioning to GFS-2014 Basis of recording: Expenditures are recorded on accrual basis, while revenues are recorded on cash basis. General government includes: Central Government; Local Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Loans; Shares and Other Equity Primary domestic currency: Rwandan franc Data last updated: 08/2019",498.815,636.25599999999997,719.60599999999999,851.06100000000004,1020.354,1155.348,1322.623,1545.0350000000001,1635.3920000000001,1720.5260000000001,1930.5740000000001,2188.8969999999999,2460.0549999999998,2742.7139999999999,3059.471,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Samoa is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Samoa","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18. Fiscal year used Start/end months of reporting year: July/June GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government Primary domestic currency: Samoa tala Data last updated: 08/2019",0.47799999999999998,0.48199999999999998,0.55300000000000005,0.64600000000000002,0.63600000000000001,0.68799999999999994,0.69099999999999995,0.80900000000000005,0.75900000000000001,0.75,0.753,0.75700000000000001,0.82899999999999996,0.9,0.95099999999999996,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["San Marino","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Notes: Gross debt is defined as the sum of loans, bonds and net account payable. Fiscal assumptions: Share of GDP, share of consumption, elasticity with respect to GDP, elasticity with respect to consumption Start/end months of reporting year: January/December GFS Manual used: The authorities have provided data for the central government, state-owned enterprises, and social security fund for 2004-16. However, some of the data have not been compiled in accordance with IMF standards Basis of recording: Other General government includes: Central Government; Valuation of public debt: Current market value Primary domestic currency: Euro Data last updated: 09/2019",0.33,0.36,0.36799999999999999,0.34599999999999997,0.33100000000000002,0.38200000000000001,0.38100000000000001,0.29899999999999999,0.33600000000000002,0.311,0.34799999999999998,0.35599999999999998,0.32900000000000001,0.35499999999999998,0.36099999999999999,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Sao Tome and Principe","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Fuel tax revenue from Customs Department Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Loans; Other Accounts Receivable/Payable; Monetary Gold and SDRs Primary domestic currency: São Tomé and Príncipe dobra Data last updated: 09/2019",0.76200000000000001,0.84099999999999997,1.581,1.8240000000000001,2.145,2.2250000000000001,1.7629999999999999,1.96,2.4049999999999998,2.4940000000000002,2.2530000000000001,2.2429999999999999,2.2429999999999999,2.39,2.4940000000000002,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Saudi Arabia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Staff baseline projections of total government revenues, except exported oil revenues, are based on staff understanding of government policies as announced in their 2019 Budget and the Fiscal Balance Program 2019 Update. Exported oil revenues are based on the WEO baseline oil prices and the assumption that Saudi Arabia will overperform the OPEC+ agreement. Expenditure projections take the 2019 Budget and the Fiscal Balance Program 2019 Update as a starting point, and reflect staff estimates of the latest changes in policies and economic developments. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014 Basis of recording: Cash General government includes: Central Government;. The country team submits Central Government data, not General Government. Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans;. Net debt is gross debt (Loans and Securities) less government deposits at SAMA. Primary domestic currency: Saudi Arabian riyal Data last updated: 09/2019",459.12,520.04999999999995,596.43100000000004,653.88599999999997,826.7,917.19799999999998,994.73400000000004,1140.6030000000001,1001.292,935.51599999999996,860,1078.75,1140.646,1104.3219999999999,1131.2560000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Senegal","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Based on program targets for first 1-2 years, thereafter on DSA considerations. Fiscal accounts are shown in accordance with the 2001 GFS methodology. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Primary domestic currency: CFA franc Data last updated: 09/2019",1485.1010000000001,1573.9280000000001,1603.597,1730.847,1951.95,2071.3119999999999,2064.1,2258.0659999999998,2413.41,2703.87,2679.3110000000001,2897.4319999999998,3246.835,3573.547,4041.7950000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Serbia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Ministry of Finance Latest actual data: 2018 Notes: Gross debt also includes accounts payable > 60 days and net debt only includes currency and deposits as government assets. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986. Combination of GFSM1986 and GFSM2001 Basis of recording: Cash General government includes: Central Government; State Government; Local Government; Social Security Funds; Other;. General government covers the following entities: Central government - Republican Budget, comprising direct budget users (covering the three branches of government, President's office, ministries, parliament, judiciary, other budget agencies); Mandatory social insurance funds - Pension Insurance Fund, Health Insurance Fund, Unemployment Fund and Military Health Fund; Extrabudgetary funds - PE Roads of Serbia and Koridori Ltd; Indirect budget users of the Republic; Subnational governments (Autonomous province of Vojvodina; Local government - Cities and Municipalities; Indirect budget users of local governments). Excluded from the data coverage are some indirect budget users of the Republican budget and Local government. Valuation of public debt: Current market value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Insurance Technical Reserves; Financial Derivatives; Monetary Gold and SDRs; Other;. Recorded on a gross basis. Primary domestic currency: Serbian dinar Data last updated: 08/2019",1064.837,1243.338,1305.616,1393.105,1504.002,1719.5060000000001,1743.7139999999999,1864.261,1840.662,1893.319,1908.17,2064.0929999999998,2226.9319999999998,2352.4630000000002,2513.4580000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Seychelles","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Staff projections Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986. Change in presentation to reflect 2011 Budget classification and transition to GFS2001. Data prior to 2007 may not add up due to breaks in the GFS1986/2001 coverage. Basis of recording: Cash General government includes: Central Government; Social Security Funds;. Change in coverage of general government as of 2011 Budget and incorporation of budget dependent entities Valuation of public debt: Nominal value. Book value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Financial Derivatives; Other Accounts Receivable/Payable; Other Primary domestic currency: Seychelles rupee Data last updated: 09/2019",2.9020000000000001,2.4689999999999999,3.7040000000000002,4.0469999999999997,4.5819999999999999,5.6050000000000004,6.0519999999999996,5.7850000000000001,5.9340000000000002,7.1660000000000004,7.3739999999999997,8.2319999999999993,8.6999999999999993,8.7970000000000006,9.4949999999999992,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Sierra Leone","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Monetary Gold and SDRs Primary domestic currency: Sierra Leonean leone Data last updated: 08/2019",834.71299999999997,1207.3320000000001,1451.9559999999999,2073.7640000000001,2751.942,3357.8589999999999,3337.085,4003.5129999999999,4476.3459999999995,5670.7759999999998,6434.8339999999998,6974.2169999999996,8078.6350000000002,9434.7780000000002,10920.819,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Singapore","General government total expenditure","National currency","Billions","Source: Ministry of Finance and National Statistics Office Latest actual data: 2018/19 Notes: Government debt is issued to deepen the domestic market, to meet the investment needs of the Central Provident Fund, and to provide individuals a long-term savings option. Fiscal assumptions: For FY2019, projections are based on budget numbers. For the remainder of the projection period, the IMF staff assumes unchanged policies. Start/end months of reporting year: April/March GFS Manual used: Government Finance Statistics Manual (GFSM) 2014 Basis of recording: Cash. Authorities use cash accounting. General government includes: Central Government;. There is no local government in Singapore and thus the general government only includes central government Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Shares and Other Equity Primary domestic currency: Singapore dollar Data last updated: 09/2019",25.047000000000001,37.734000000000002,46.84,34.335999999999999,34.393999999999998,36.499000000000002,42.369,50.942,61.566000000000003,68.356999999999999,65.144999999999996,72.269000000000005,71.516999999999996,75.75,79.144000000000005,2019,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Slovak Republic  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Slovak Republic","General government total expenditure","National currency","Billions","Source: Eurostat Latest actual data: 2018 Notes: Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Fiscal assumptions: The current year projections take into consideration both the budget and developments to date. Next year and beyond reflect a no-policy-change scenario. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Shares and Other Equity; Other Accounts Receivable/Payable; Monetary Gold and SDRs;. Our framework follows the Maastricht debt criteria. Primary domestic currency: Euro Data last updated: 09/2019",22.913,25.297999999999998,28.224,28.48,28.827999999999999,29.54,30.736999999999998,31.984000000000002,35.683999999999997,33.668999999999997,34.106999999999999,36.646000000000001,38.319000000000003,40.335999999999999,42.078000000000003,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Slovenia  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Slovenia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; State Government; Local Government; Social Security Funds; Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Other Primary domestic currency: Euro Data last updated: 09/2019",13.914999999999999,15.442,16.367999999999999,16.693000000000001,17.010999999999999,16.13,19.716000000000001,17.664000000000001,17.003,16.503,17.102,18.068000000000001,19.169,20.149000000000001,21.097999999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Solomon Islands","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Fiscal assumptions: Fiscal projections are based on the staff's assessment on the current fiscal situation and the authorities' fiscal policy. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Loans Primary domestic currency: Solomon Islands dollar Data last updated: 09/2019",1.76,2.2040000000000002,2.5739999999999998,3.0990000000000002,3.4,3.819,3.8620000000000001,3.9079999999999999,4.3819999999999997,4.609,4.9009999999999998,4.9480000000000004,5.3040000000000003,5.62,5.9710000000000001,2017,null,null,null,null,"Somalia is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Somalia","General government total expenditure","National currency","Billions",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"VLOOKUP(A161,ILO_SP_calcs,3,FALSE)","v":{"$error":"#NAME?"}},{"$error":"#NAME?"}]
["South Africa","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Gross debt does not include other accounts payable and refers to Central Government debt only. Net debt is calculated as gross debt minus government deposits. Fiscal assumptions: Fiscal assumptions are based on the 2019 Budget Review and the special appropriation of July 2019 for Eskom. Non-tax revenue excludes transactions in financial assets and liabilities as they involve primarily revenues associated with realized exchange rate valuation gains from the holding of foreign currency deposits, sale of assets, and conceptually similar items. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; State Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: South African rand Data last updated: 09/2019",573.25300000000004,679.24699999999996,795.16600000000005,864.15700000000004,933.61300000000006,1020.652,1118.424,1212.095,1333.492,1423.818,1518.6010000000001,1630.0250000000001,1807.288,1953.0419999999999,2071.212,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"South Sudan is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["South Sudan","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Ministry of Finance, Commerce, Investment and Economic Planning Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Other Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Primary domestic currency: South Sudanese pound Data last updated: 08/2019","n/a","n/a","n/a","n/a",10.86,10.509,11.170999999999999,16.216000000000001,18.428999999999998,73.555000000000007,131.11600000000001,212.69300000000001,233.94499999999999,342.46800000000002,432.69600000000003,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Spain is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Spain","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Eurostat Latest actual data: 2018 Notes: Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Fiscal assumptions: For 2019, projections assume expenditures under 2018 budget extension scenario, and already legislated measures, including pension and public wage increases, and IMF staff projection of revenues. For 2020 and beyond, fiscal projections are IMF staff projections which assume an unchanged structural primary balance. Start/end months of reporting year: January/December GFS Manual used: European System of Accounts (ESA) 2010 Basis of recording: Accrual General government includes: Central Government; State Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Euro Data last updated: 09/2019",421.81299999999999,459.38900000000001,494.00200000000001,493.202,490.59199999999998,500.17700000000002,467.32600000000002,465.42399999999998,472.74,472.15499999999997,478.12599999999998,499.52,514.18700000000001,527.59500000000003,544.03399999999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Sri Lanka","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: It is based on the authorities' medium term fiscal framework and the revenue measures proposed. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Primary domestic currency: Sri Lanka rupee Data last updated: 09/2019",841.45399999999995,995.91,1201.9269999999999,1280.2059999999999,1433.181,1556.4970000000001,1650.6959999999999,1850.239,2228.8200000000002,2333.8829999999998,2573.056,2693.2289999999998,2874.5239999999999,3233.2739999999999,3517.7489999999998,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"St. Kitts and Nevis is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["St. Kitts and Nevis","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Government expenses in social benefits is included in expenses not elsewhere classified. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; State Government;. Debt corresponds to public sector (central government, local government and SOEs) Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans; Other Accounts Receivable/Payable Primary domestic currency: Eastern Caribbean dollar Data last updated: 08/2019",0.59799999999999998,0.63500000000000001,0.65600000000000003,0.70199999999999996,0.68300000000000005,0.62,0.70299999999999996,0.747,0.76300000000000001,0.73,0.77100000000000002,0.88500000000000001,0.875,0.94599999999999995,0.95,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"St. Lucia is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["St. Lucia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18. Preliminary up to March 2018 Start/end months of reporting year: April/March GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government;. Debt corresponds to nonfinancial public sector (central government and SOEs) Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Eastern Caribbean dollar Data last updated: 09/2019",0.81100000000000005,0.85699999999999998,0.92800000000000005,1.0409999999999999,1.143,1.208,1.1399999999999999,1.1140000000000001,1.157,1.161,1.252,1.3109999999999999,1.415,1.5069999999999999,1.573,2018,null,null,{"$error":"#NAME?"},{"$f":"HLOOKUP(X167,WEO_Total,ROW()-1,FALSE)","v":{"$error":"#NAME?"}},"St Vincent and the Grenadines are not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["St. Vincent and the Grenadines","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Discussions with the authorities and projections for growth and inflation Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001. The authorities are using the GFS 1986. But the data was transformed to GFS 2001 format for WEO purpose. Basis of recording: Cash General government includes: Central Government;. Debt corresponds to nonfinancial public sector (central government and SOEs) Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: Eastern Caribbean dollar Data last updated: 09/2019",0.52300000000000002,0.56000000000000005,0.59799999999999998,0.60399999999999998,0.56599999999999995,0.51900000000000002,0.60899999999999999,0.63300000000000001,0.58599999999999997,0.59499999999999997,0.64700000000000002,0.66300000000000003,0.7,0.73199999999999998,0.76100000000000001,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Sudan","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018. Estimation (preliminary data) Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Mixed. Revenue - cash, Expenditure - adjusted cash (arrears of more than 90 days need to be recorded on accrual basis) General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Shares and Other Equity Primary domestic currency: Sudanese pound Data last updated: 09/2019",23.468,26.712,25.172000000000001,29.669,38.119999999999997,37.210999999999999,48.124000000000002,59.534999999999997,62.667999999999999,73.132000000000005,114.12,206.108,358.577,542.93600000000004,911.779,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Somalia is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Suriname","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Notes: Revenues and expenditures (subsidies) are adjusted upward by the amounts netted out by taxpayer companies for settling arrears from other SOEs. Fiscal assumptions: IMF staff projections Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Mixed General government includes: Central Government; Valuation of public debt: Current market value Instruments included in gross and net debt: Gross debt includes loans and securities other than shares. Net debt is currently not compiled. Primary domestic currency: Surinamese dollar Data last updated: 09/2019",1.9490000000000001,2.129,2.7360000000000002,2.7,3.2570000000000001,4.6900000000000004,4.8860000000000001,5.0369999999999999,5.1079999999999997,5.4580000000000002,7.4160000000000004,7.9909999999999997,10.144,11.269,11.798,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Sweden","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable Fiscal assumptions: Fiscal projections take into account the authorities' projections based on the 2019 spring Budget. The impact of cyclical developments on the fiscal accounts is calculated using the 2014 Organization for Economic Cooperation's elasticity (Price, Dang and Guillemette (2014)) in order to take into account output and employment gaps. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value. Nominal Value debt valuation is consistent with Eurostat's definition Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans;. Net debt is defined as gross debt minus the asset holdings of currency and deposits, debt securities, and loans. Primary domestic currency: Swedish krona Data last updated: 09/2019",1595.2809999999999,1661.99,1700.39,1751.796,1801.213,1852.4649999999999,1921.278,1972.721,2045.905,2138.06,2215.828,2339.788,2417.491,2492.6419999999998,2569.9299999999998,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Sweden is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Switzerland","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Fiscal assumptions: The projections assume that fiscal policy is adjusted as necessary to keep fiscal balances in line with the requirements of Switzerland's fiscal rules. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; State Government; Local Government; Social Security Funds; Other;. Other refers to Cantons. Valuation of public debt: Nominal value Primary domestic currency: Swiss franc Data last updated: 09/2019",172.26900000000001,182.571,189.875,194.864,198.512,201.547,211.501,212.25700000000001,214.89599999999999,217.68199999999999,220.50299999999999,223.75700000000001,230.232,234.48599999999999,240.43100000000001,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Switzerland is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Syrian Arab Republic","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2009 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Face value Primary domestic currency: Syrian pound Data last updated: 08/2015",519.43499999999995,561.327,674.07899999999995,799.50400000000002,"n/a","n/a","n/a","n/a","n/a","n/a","n/a","n/a","n/a","n/a","n/a",2009,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Syria is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Taiwan, China","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Data retrieved from CEIC Latest actual data: 2018 Notes: We do not have data on policy lending. Fiscal assumptions: Projections for 2019-24 are based on the assumptions underlying the IMF staff's medium-term macroeconomic scenario. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value. General government gross debt includes non-self redeeming debt maturity >= 1 year. Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: New Taiwan dollar Data last updated: 09/2019",2542.3620000000001,2590.96,2914.712,2832.393,2882.165,2954.2510000000002,2951.7379999999998,2948.7829999999999,2960.652,3068.3989999999999,3107.5650000000001,3179.2339999999999,3160.4459999999999,3231.5859999999998,3325.5929999999998,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Tajikistan","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans; Monetary Gold and SDRs Primary domestic currency: Tajik somoni Data last updated: 08/2019",3.5779999999999998,4.7859999999999996,5.907,6.4569999999999999,8.1270000000000007,8.8759999999999994,11.282,13.007,15.448,21.213999999999999,21.768999999999998,21.94,24.736000000000001,26.919,29.92,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Tanzania","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Local Government; Instruments included in gross and net debt: Securities Other than Shares; Loans; Shares and Other Equity; Other Accounts Receivable/Payable;. Stocks, T-bonds (special bonds, 2-y, 5-y, 7-y, 10-y, and 15-y), T-bills, other (tax reserve certificates) Primary domestic currency: Tanzania shilling Data last updated: 09/2019",4846.1959999999999,6062.2809999999999,7609.59,8875.6039999999994,10101.968000000001,12153.772999999999,13750.59,14280.938,16181.656000000001,18324.784,19679.021000000001,21366.722000000002,24231.85,28074.170999999998,32104.142,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Thailand","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury. Downloaded from MoF website Latest actual data: 2017/18 Fiscal assumptions: For the projection period, the IMF staff assumes that planned infrastructure investment programs will not be implemented. Start/end months of reporting year: October/September GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government;. Thailand does not have State Government system. Its central government consists of budgetary central government, extra budgetary funds, and institutions and social security funds. Public debt data includes debt of the central government and non-monetary public corporations. It excludes debt of subnational governments and non-guaranteed debt of financial public corporations. Valuation of public debt: Nominal value. Book value. Primary domestic currency: Thai baht Data last updated: 09/2019",1769.2090000000001,1875.078,2051.9609999999998,2337.4630000000002,2401.0320000000002,2620.0970000000002,2784.828,2913.5259999999998,3014.3510000000001,3062.6260000000002,3345.8029999999999,3481.8389999999999,3629.8609999999999,3755.84,4015.364,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Timor-Leste","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Primary domestic currency: U.S. dollar Data last updated: 08/2019",0.41199999999999998,0.79300000000000004,0.88600000000000001,1.07,1.389,1.5009999999999999,1.3420000000000001,1.6060000000000001,1.5589999999999999,1.8109999999999999,1.3720000000000001,1.343,1.5669999999999999,1.794,1.5660000000000001,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Timor-Leste  is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Togo","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Loans; Monetary Gold and SDRs Primary domestic currency: CFA franc Data last updated: 08/2019",246.44,253.04400000000001,317.31400000000002,354.358,465.221,527.83900000000006,569.07399999999996,621.45500000000004,757.71600000000001,824.005,603.5,733.85500000000002,818.54,919.928,989.65,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Tonga","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December. Calendar year data refer to the average of two fiscal years (July/June). For example, CY2009 is the average of fiscal years 2008/09 and 2009/10. GFS Manual used: Government Finance Statistics Manual (GFSM) 2014 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Face value Primary domestic currency: Tongan pa'anga Data last updated: 09/2019",0.14799999999999999,0.156,0.17799999999999999,0.224,0.24,0.25,0.26,0.28499999999999998,0.34300000000000003,0.38600000000000001,0.41499999999999998,0.46300000000000002,0.52400000000000002,0.56699999999999995,0.57499999999999996,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Trinidad and Tobago","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017/18 Fiscal assumptions: Fiscal projections are predicated on the latest fiscal data available, as well as the current budget and subsequent official measures and supplementary budgets. However, it is modified by, among other influences, the Fund staff's macroeconomic projections. Start/end months of reporting year: October/September GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Instruments included in gross and net debt: Currency and Deposits; Other;. Central government debt excludes short-term debt issued for open market monetary policy purposes. These instruments were matched by corresponding \"frozen\" government deposits in the domestic banking system, and cannot be used to finance budgetary operations. Net debt is gross debt minus CG deposits at the Central Bank and Heritage Stabilization Fund assets (about 65% fixed income instruments and 35% equity). Primary domestic currency: Trinidad and Tobago dollar Data last updated: 09/2019",37.765999999999998,47.284999999999997,45.731000000000002,43.674999999999997,48.601999999999997,51.475000000000001,57.668999999999997,61.92,59.944000000000003,52.39,49.511000000000003,47.567,52.094999999999999,53.277000000000001,54.110999999999997,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Tunisia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2016 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Loans Primary domestic currency: Tunisian dinar Data last updated: 09/2019",12.196999999999999,13.724,15.164,15.872999999999999,18.893000000000001,20.949000000000002,24.366,24.09,24.69,25.93,29.303000000000001,32.402999999999999,37.158000000000001,39.396000000000001,41.335000000000001,2016,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Turkey","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Gross debt follows the Maastricht definition of gross debt, and excludes other accounts payable. Fiscal assumptions: The fiscal projections assume a more negative primary and overall balance than envisaged in the authorities' New Economic Program (NEP) 2019-21, based partly on recent weak growth and fiscal outturns and partly on definitional differences: the basis for the projections in the WEO and Fiscal Monitor is the IMF-defined fiscal balance, which excludes some revenue and expenditure items that are included in the authorities' headline balance. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government; Social Security Funds; Other;. Other includes Extra-Budgetary Funds, Revolving Funds and Unemployment Fund Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Turkish lira Data last updated: 09/2019",296.892,342.85300000000001,381.30599999999998,418.77499999999998,465.35399999999998,540.09100000000001,618.79200000000003,679.43700000000001,780.41399999999999,915.13900000000001,1045.713,1289.0540000000001,1487.37,1730.153,2014.296,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Turkmenistan","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986. The central budget data are not reported according to GFSM 2001 by the authorities. Basis of recording: Cash General government includes: Central Government; Local Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Treasury bills held by commercial banks; net domestic debt; external public debt (including SOEs). Primary domestic currency: New Turkmen manat Data last updated: 09/2019",3.629,5.375,7.7229999999999999,8.8780000000000001,12.18,14.695,18.852,21.100999999999999,21.693000000000001,17.876000000000001,23.585000000000001,19.596,21.626999999999999,24.564,27.367000000000001,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"Turkmenistan is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Tuvalu","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Start/end months of reporting year: January/December GFS Manual used: Currently not compiling on GFS manual basis Basis of recording: Tax and grant revenue in cash, others in accrual basis General government includes: Central Government; Valuation of public debt: Current market value Primary domestic currency: Australian dollar Data last updated: 08/2019",0.03,3.2000000000000001E-2,3.5999999999999997E-2,3.3000000000000002E-2,0.03,2.9000000000000001E-2,3.3000000000000002E-2,4.4999999999999998E-2,5.7000000000000002E-2,6.7000000000000004E-2,6.7000000000000004E-2,6.2E-2,8.3000000000000004E-2,7.3999999999999996E-2,7.4999999999999997E-2,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Uganda","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018. Fiscal sector projections and historical data are both in calendar year. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans;. Ugandan government gross debt includes Ugandan domestic treasury securities, multilateral and bilateral external loans, as well as some commercial external loans Primary domestic currency: Uganda shilling Data last updated: 09/2019",3993.6680000000001,4993.2550000000001,5754.5410000000002,8290.0920000000006,9140.2039999999997,10164.582,11125.922,13190.445,15833.236999999999,17205.984,18183.044000000002,21177.952000000001,27485.93,33262.904000000002,32897.512000000002,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Ukraine","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018. Starting in 2014, data excludes Crimea and Sevastopol. Fiscal assumptions: Projections based on IMF staff estimates. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001. GFSM 1986 manual is used, certain expenditure data is already in line with the GFSM2001 on cash basis. Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Ukrainian hryvnia Data last updated: 09/2019",315.85199999999998,449.625,443.536,530.5,594.1,687.9,704.9,710.524,855.93899999999996,967.38,1237.377,1485.4349999999999,1662.577,1793.4870000000001,1956.028,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["United Arab Emirates","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001. Accrual accounting Basis of recording: Cash General government includes: Central Government; State Government; Social Security Funds; Other;. Other refers to Budgetary Central Government Valuation of public debt: Nominal value Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: U.A.E. dirham Data last updated: 09/2019",167.22399999999999,254.30799999999999,325.875,343.01299999999998,401.43,400.89299999999997,434.48899999999998,490.45800000000003,425.61200000000002,404.94600000000003,424.06200000000001,457.60399999999998,462.13200000000001,474.57600000000002,477.97300000000001,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["United Kingdom","General government total expenditure","National currency","Billions","Source: National Statistics Office. Data does not take into account statistical revisions (including on student loans accounting) implemented on September 24, 2019. Latest actual data: 2018 Fiscal assumptions: Fiscal projections are based on the U.K.'s Spring Statement 2019, with expenditure projections based on the budgeted nominal values, but adjusted to account for the Spending Round 2019, and with revenue projections adjusted for differences between IMF staff forecasts of macroeconomic variables (such as GDP growth and inflation) and the forecasts of these variables assumed in the authorities' fiscal projections. IMF staff data exclude public sector banks and the effect of transferring assets from the Royal Mail Pension Plan to the public sector in April 2012. Real government consumption and investment are part of the real GDP path, which, according to the IMF staff, may or may not be the same as projected by the U.K. Office for Budget Responsibility. Fiscal year GDP is different from current year GDP. The fiscal accounts are presented in terms of fiscal year. Projections do not take into account revisions to the accounting (including on student loans) implemented on September 24, 2019. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Accrual General government includes: Central Government; Local Government;. The concept of \"state government\" and \"social security funds\" is not applicable to the UK. Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans;. Net debt is defined as total gross financial liabilities less liquid financial assets, where liquid assets are cash and short-term assets, which can be released for cash at short notice without significant loss Primary domestic currency: Pound sterling Data last updated: 09/2019",585.40300000000002,639.55100000000004,677.57600000000002,705.91600000000005,710.61300000000006,733.10299999999995,730.00800000000004,747.68100000000004,752.10299999999995,765.28300000000002,787.202,810.524,838.26300000000003,869.154,896.30100000000004,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"UK are not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["United States","General government total expenditure","National currency","Billions","Source: BEA and IMF's Government Finance Statistics Yearbook (revenue, expenditure, and net lending); Flow of Funds (debt) Latest actual data: 2018. Repatriation tax on foreign earnings (a provision of the 2017 Tax Cuts and Jobs Act), estimated at $250 billion, which accrued at end-2017 and recorded as capital transfer to the government in the GFS, was removed from government revenue. Staff's baseline projection embeds the impact of this tax provision over time to reflect the fact that corporations have eight years to pay off this tax liability. Notes: Revenue, expenditure, and net lending data are is compiled using SNA 2008, and when translated into GFS this is in accordance with GFSM 2014. Due to data limitations, most series begin 2001. Fiscal assumptions: Fiscal projections are based on the August 2019 Congressional Budget Office baseline adjusted for the IMF staff's policy and macroeconomic assumptions. Projections incorporate the effects of tax reform (Tax Cuts and Jobs Act, signed into law end-2017), the Bipartisan Budget Act of 2018 passed in February 2018, and the Bipartisan Budget Act of 2019 passed in July 2019. Finally, fiscal projections are adjusted to reflect the IMF staff's forecasts for key macroeconomic and financial variables and different accounting treatment of financial sector support and of defined-benefit pension plans and are converted to a general government basis. Data is compiled using SNA 2008, and when translated into GFS this is in accordance with GFSM 2014. Due to data limitations, most series begin 2001. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014 Basis of recording: Accrual General government includes: Central Government; State Government; Local Government; Valuation of public debt: Nominal value Instruments included in gross and net debt: Currency and Deposits; Loans; Insurance Technical Reserves; Financial Derivatives; Monetary Gold and SDRs Primary domestic currency: U.S. dollar Data last updated: 09/2019",5001.9629999999997,5485.7669999999998,5993.6270000000004,5983.28,6045.2860000000001,6032.2889999999998,6037.1549999999997,6216.4179999999997,6406.2089999999998,6635.9750000000004,6880.17,7231.9290000000001,7759.3050000000003,8126.3940000000002,8462.3169999999991,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"},"USA is not in the ILO SP CALCULATIONS SHEET in the last CRI"]
["Uruguay","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Notes: Starting from October 2018, the public pension system has been receiving transfers in the context of a new law that compensates persons affected by the creation of the mixed pension system. These funds are recorded as revenues, consistent with IMF's methodology. Therefore, data and projections for 2018 - 2022 are affected by these transfers, which amounted to 1.3 percent of GDP in 2018 and are projected to be 1.2 percent of GDP in 2019, 0.9 percent of GDP in 2020, 0.4 percent of GDP in 2021, 0.2 percent of GDP in 2022 and zero percent thereafter. Please see IMF country report No. 19/64 for further details. The disclaimer about the public pension system applies only for the revenues and net lending/borrowing series. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Local Government; Social Security Funds; Nonmonetary Financial Public Corporations; Nonfinancial Public Corporation;. The coverage of the fiscal data was changed from consolidated public sector to nonfinancial public sector (NFPS) with the October 2019 submission. In Uruguay, NFPS coverage includes Central Government, Local Government, Social Security Funds, Nonfinancial Public Corporations, and Banco de Seguros del Estado.  Historical data was revised accordingly. Under this narrower fiscal perimeter assets and liabilities held by the NFPS where the counterpart is the central bank are not netted out in debt figures. In this context, capitalization bonds issued in the past by the government to the central bank are now part of the NFPS debt. Gross and net debt estimates for the period 2008-2011 are preliminary. Valuation of public debt: Face value Instruments included in gross and net debt: Currency and Deposits; Loans; Financial Derivatives; Other Accounts Receivable/Payable; Other Primary domestic currency: Uruguayan peso Data last updated: 09/2019",160.37,182.477,211.98099999999999,241.559,266.08199999999999,314.40300000000002,370.57600000000002,422.33800000000002,452.541,516.42200000000003,553.21699999999998,608.08000000000004,671.15800000000002,732.28700000000003,815.15700000000004,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Uzbekistan","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2018 Fiscal assumptions: Next year projection is based on the authorities' announced budget and medium-term projections are based on staff's assessment Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2014 Basis of recording: Cash General government includes: Central Government; State Government; Local Government; Social Security Funds; Other; Valuation of public debt: Nominal value Primary domestic currency: Uzbek sum Data last updated: 08/2019",8774.5429999999997,12531.999,16891.601999999999,20843.451000000001,23954.591,30303.942999999999,37747.851000000002,45387.851999999999,51433.985999999997,57625.75,69376.320000000007,104526.65,129647.58,160639.15,192640.81899999999,2018,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Vanuatu","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Current market value Primary domestic currency: Vanuatu vatu Data last updated: 09/2019",11.875999999999999,16.643999999999998,17.434999999999999,18.416,17.315000000000001,16.942,16.422999999999998,21.335999999999999,32.5,30.309000000000001,33.893000000000001,30.931999999999999,38.329000000000001,35.917000000000002,38.344999999999999,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Venezuela, RB","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Nonfinancial Public Corporation; Other;. Fiscal accounts correspond to the budgetary central government, public enterprises (including PDVSA), Instituto Venezolano de los Seguros Sociales (IVSS?social security), and Fondo de Garantía de Depósitos y Protección Bancaria (FOGADE?deposit insurance). Valuation of public debt: Nominal value Primary domestic currency: Venezuelan bolívar soberano Data last updated: 09/2019",2E-3,2E-3,2E-3,3.0000000000000001E-3,5.0000000000000001E-3,7.0000000000000001E-3,8.9999999999999993E-3,1.4999999999999999E-2,2.4E-2,7.0999999999999994E-2,0.73499999999999999,707.87300000000005,"n/a","n/a","n/a",2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Vietnam","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Fiscal assumptions: 2010 is based on authorities' budget (for expenditure); for projections on revenues and financing, staff use the information/measures in the approved budget but the team's macro-framework assumptions. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash. Accrual based reporting is not available. General government includes: Central Government; State Government; Local Government; Valuation of public debt: Nominal value Primary domestic currency: Vietnamese dong Data last updated: 09/2019",350479.07900000003,437416,571807.09,647711,751298,955969.25100000005,1094123,1123418,1266127.5,1253677,1462965,1596414,1689657.149,1845460.402,1998332.7660000001,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Yemen, Rep.","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Notes: Yemeni government to have extensive financial assets, and the only assets being included are currency and deposits. Fiscal assumptions: Hydrocarbon revenue projection are based at WEO assumptions for oil and gas prices (authorities use $55/brl) and authorities projections of production of oil and gas. Non-hydrocarbon revenues largely reflect authorities projection, as well as most of the expenditure categories with exception of fuel subsidies which are projected based at WEO price consistent with revenues. Monetary projection are based on key macroeconomic assumptions on growth rate of broad money, credit to private sector, deposit growth. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 2001 Basis of recording: Cash General government includes: Central Government; Local Government; Valuation of public debt: Nominal value Primary domestic currency: Yemeni rial Data last updated: 08/2019",1738.5119999999999,2217.3649999999998,1795.1120000000001,2049.855,2087.875,2747.6970000000001,2674.6930000000002,2580.6,1903.692,1428.635,839.75099999999998,1651.6,2602,2950,3770.596,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Zambia","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Current market value Instruments included in gross and net debt: Currency and Deposits; Securities Other than Shares; Loans Primary domestic currency: Zambian kwacha Data last updated: 08/2019",11.209,13.054,13.773,17.562999999999999,22.266999999999999,28.257999999999999,36.073,41.250999999999998,51.912999999999997,52.585999999999999,62.024999999999999,76.504999999999995,75.762,86.763000000000005,89.566999999999993,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
["Zimbabwe","General government total expenditure","National currency","Billions","Source: Ministry of Finance or Treasury Latest actual data: 2017 Notes: Fiscal data prior to 2009 are not reliable. Start/end months of reporting year: January/December GFS Manual used: Government Finance Statistics Manual (GFSM) 1986 Basis of recording: Cash General government includes: Central Government; Valuation of public debt: Current market value. In U.S. dollars Instruments included in gross and net debt: Securities Other than Shares; Loans Primary domestic currency: RTGS dollars Data last updated: 09/2019",0.39800000000000002,0.254,1.1439999999999999,2.1779999999999999,3.2770000000000001,3.492,3.9940000000000002,3.9870000000000001,4.0970000000000004,4.8630000000000004,6.1689999999999996,7.4969999999999999,17.061,22.096,25.45,2017,null,null,{"$error":"#NAME?"},{"$error":"#NAME?"}]
[]
[]
[]
["International Monetary Fund, World Economic Outlook Database, October 2019"]
[]
["https://www.imf.org/external/pubs/ft/weo/2019/01/weodata/index.aspx"]
[]
["Sheet name "]

{"sheet":"PS_Source_WEO GOV EXP","index":32,"n_rows":200,"n_cols":29,"rows_kept":200,"cut":false,"hidden":false,"merged":[[0,10,0,12]]}
["WEO October 2019  -                              ",null,null,null,"      Downloaded on  22/10/2019",null,null,null,null,null,"Formula name: WEO_GOV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Downloaded on 05/09/2019",null,null,"By MH"]
[null,"Subject: Gen Gov Total Expenditure  -           ",null,null,null,"Units: Percentage of GDP   ",null,null,null,null,null,null,null,null,2017,2018,2019]
[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]
["Country","Subject Descriptor","Units","Scale","Country/Series-specific Notes",2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,"Estimates Start After"]
["Afghanistan","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",20.917999999999999,21.17,20.800999999999998,21.937000000000001,25.027999999999999,24.977,25.402000000000001,25.946999999999999,25.997,25.878,27.027999999999999,28.212,30.31,31.407,2018]
["Albania","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",31.725999999999999,32.679000000000002,29.387,28.922999999999998,28.228999999999999,29.193000000000001,31.728999999999999,30.376999999999999,29.138999999999999,29.137,29.265000000000001,29.667999999999999,29.286999999999999,29.253,2018]
["Algeria","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",37.950000000000003,42.6,37.250999999999998,40.122999999999998,43.542999999999999,36.186,40.606000000000002,45.811,41.664999999999999,39.204999999999998,38.137999999999998,38.722000000000001,34.286000000000001,32.74,2018]
["Angola","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",52.665999999999997,45.006999999999998,39.393999999999998,37.402000000000001,37.209000000000003,37.049999999999997,36.457000000000001,27.050999999999998,22.042999999999999,23.806000000000001,19.695,19.204999999999998,20.8,20.684999999999999,2018]
["Antigua and Barbuda","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",26.417999999999999,36.33,22.562999999999999,23.861000000000001,21.077000000000002,23.222999999999999,23.01,26.704000000000001,24.658000000000001,23.242999999999999,24.908999999999999,24.513000000000002,23.765000000000001,23.867999999999999,2018]
["Argentina","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",30.762,34.524000000000001,33.357999999999997,34.902000000000001,36.820999999999998,37.603000000000002,38.853000000000002,41.366,41.521999999999998,41.180999999999997,38.896000000000001,37.564,36.860999999999997,37.042000000000002,2018]
["Armenia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",22.236000000000001,28.553000000000001,26.201000000000001,24.963999999999999,22.414999999999999,23.797000000000001,23.991,26.331,27.047999999999998,26.027000000000001,23.475999999999999,25.015999999999998,26.114000000000001,25.725000000000001,2018]
["Aruba","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",26.260999999999999,27.478000000000002,31.247,28.141999999999999,31.742000000000001,31.143999999999998,31.431000000000001,27.931999999999999,28.209,28.353000000000002,27.9,27.591999999999999,27.768999999999998,27.687000000000001,2018]
["Australia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",35.112000000000002,37.825000000000003,37.036000000000001,36.344999999999999,36.582000000000001,36.496000000000002,36.83,37.343000000000004,37.340000000000003,36.706000000000003,36.661999999999999,36.720999999999997,36.962000000000003,36.262,2018]
["Austria","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",49.871000000000002,54.140999999999998,52.835000000000001,50.892000000000003,51.213000000000001,51.648000000000003,52.325000000000003,51.029000000000003,50.216999999999999,48.984000000000002,48.494,47.927,48.258000000000003,48.213999999999999,2018]
["Azerbaijan","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",31.439,34.506,31.957999999999998,33.734999999999999,36.636000000000003,37.779000000000003,36.374000000000002,38.68,35.378,35.593000000000004,33.146000000000001,34.72,34.427999999999997,34.409999999999997,2018]
["Bahamas, The","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",14.897,16.437999999999999,16.324000000000002,17.866,18.231000000000002,17.838999999999999,17.949000000000002,18.794,18.91,22.670999999999999,19.998000000000001,21.707000000000001,25.417000000000002,22.885000000000002,2018]
["Bahrain","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",23.646999999999998,25.638000000000002,28.547000000000001,27.754000000000001,31.916,34.326999999999998,28.411000000000001,36.561999999999998,35.100999999999999,32.412999999999997,33.71,30.452999999999999,29.856999999999999,29.681999999999999,2018]
["Bangladesh","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",13.824,12.669,12.699,13.952,14.224,14.61,13.997,13.769,13.446999999999999,13.56,14.302,14.753,15.042,14.928000000000001,2018]
["Barbados","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",33.473999999999997,34.564999999999998,34.655999999999999,32.741999999999997,34.555999999999997,35.17,33.100999999999999,35.012999999999998,33.64,32.898000000000003,29.577999999999999,27.876000000000001,28.126000000000001,28.581,2019]
["Belarus","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",62.036000000000001,51.703000000000003,44.319000000000003,40.295000000000002,38.893000000000001,40.813000000000002,38.835999999999999,41.77,40.683,39.042000000000002,37.47,39.093000000000004,40.558999999999997,37.954000000000001,2018]
["Belgium","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",50.280999999999999,54.15,53.341000000000001,54.518000000000001,55.865000000000002,55.826999999999998,55.274000000000001,53.731000000000002,53.09,52.131,52.38,52.109000000000002,52.02,52.075000000000003,2018]
["Belize","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",28.277000000000001,29.62,29.231999999999999,28.981000000000002,28.146000000000001,29.315999999999999,31.317,34.658999999999999,34.661999999999999,34.89,31.321999999999999,31.367000000000001,31.286999999999999,31.228999999999999,2018]
["Benin","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",14.548999999999999,16.997,14.076000000000001,14.728,14.236000000000001,14.894,14.225,18.152999999999999,15.428000000000001,17.785,16.553999999999998,16.625,16.213999999999999,16.149999999999999,2018]
["Bhutan","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",34.381999999999998,38.539000000000001,44.704999999999998,37.908000000000001,36.938000000000002,34.414000000000001,29.808,27.283000000000001,31.001999999999999,30.606000000000002,31.951000000000001,23.433,26.952999999999999,27.707999999999998,2018]
["Bolivia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",35.332999999999998,35.82,31.5,35.356000000000002,36.037999999999997,38.430999999999997,43.256999999999998,44.59,39.929000000000002,38.597999999999999,37.094000000000001,36.499000000000002,35.793999999999997,34.957000000000001,2017]
["Bosnia and Herzegovina","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",49.417000000000002,49.012,49.496000000000002,46.42,46.926000000000002,45.045000000000002,46.27,43.442,42.197000000000003,40.680999999999997,41.04,40.612000000000002,41.027000000000001,40.713999999999999,2018]
["Botswana","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",47.241,51.41,42.033999999999999,36.408999999999999,35.83,32.017000000000003,34.652000000000001,35.752000000000002,32.539000000000001,31.988,31.225999999999999,31.641999999999999,30.559000000000001,28.908000000000001,2019]
["Brazil","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",37.433,37.133000000000003,39.911999999999999,37.576000000000001,37.222999999999999,37.448999999999998,38.515999999999998,38.484999999999999,39.664999999999999,38.476999999999997,38.491,38.298000000000002,37.683,37.109000000000002,2018]
["Brunei Darussalam","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",27.076000000000001,34.835000000000001,36.177999999999997,29.71,30.991,33.582000000000001,34.088000000000001,38.677,39.351999999999997,36.579000000000001,32.155000000000001,35.393000000000001,35.478000000000002,34.942999999999998,2018]
["Bulgaria","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",33.494,33.862000000000002,34.607999999999997,32.098999999999997,32.758000000000003,35.637999999999998,37.253999999999998,37.749000000000002,33.149000000000001,32.548000000000002,34.953000000000003,38.308999999999997,35.555999999999997,35.259,2018]
["Burkina Faso","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",20.908999999999999,24.202999999999999,24.355,22.99,25.501000000000001,28.408000000000001,23.542000000000002,23.11,25.53,29.954999999999998,27.234999999999999,27.422000000000001,26.117000000000001,26.396000000000001,2018]
["Burundi","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",41.162999999999997,37.988,40.844000000000001,42.186999999999998,37.543999999999997,33.161999999999999,31.777999999999999,27.177,21.164000000000001,21.803000000000001,22.324999999999999,22.699000000000002,23.481999999999999,24.314,2015]
["Cabo Verde","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",30.25,33.417999999999999,39.158999999999999,33.283999999999999,34.686,33.843000000000004,30.486999999999998,31.448,29.640999999999998,31.571999999999999,31.030999999999999,34.029000000000003,31.998999999999999,30.216999999999999,2018]
["Cambodia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",15.382,20.399999999999999,20.902999999999999,20.594999999999999,21.68,21.366,21.718,20.271999999999998,21.117999999999999,22.375,24.623999999999999,24.959,24.701000000000001,24.658000000000001,2018]
["Cameroon","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",16.631,15.72,15.962999999999999,18.609000000000002,17.771999999999998,20.021999999999998,20.783000000000001,20.9,20.908000000000001,19.827000000000002,18.545999999999999,18.218,17.774999999999999,17.797000000000001,2017]
["Canada","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",38.774999999999999,43.420999999999999,43.064,41.575000000000003,40.926000000000002,39.960999999999999,38.371000000000002,40.018000000000001,40.549999999999997,40.25,40.655000000000001,40.697000000000003,40.828000000000003,40.741,2018]
["Central African Republic","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",16.027000000000001,16.009,17.259,14.157999999999999,14.497999999999999,13.398999999999999,18.015999999999998,13.964,12.102,13.862,16.266999999999999,17.408999999999999,18.300999999999998,17.465,2018]
["Chad","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",18.795000000000002,24.138999999999999,24.353999999999999,22.367999999999999,23.879000000000001,22.805,21.978000000000002,18.34,14.366,14.88,13.332000000000001,15.281000000000001,14.599,14.53,2017]
["Chile","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",21.812000000000001,24.870999999999999,23.35,22.803999999999998,23.1,23.056999999999999,23.754000000000001,24.884,25.268999999999998,25.370999999999999,25.363,25.384,25.279,24.774999999999999,2018]
["China","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",22.393999999999998,25.491,24.96,27.010999999999999,28.056999999999999,28.535,28.965,31.321000000000002,31.931999999999999,32.179000000000002,34.094000000000001,34.948999999999998,35.457000000000001,34.987000000000002,2018]
["Colombia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",26.888999999999999,29.69,29.488,28.802,28.199000000000002,28.885000000000002,29.42,29.539000000000001,27.74,28.109000000000002,28.102,28.501999999999999,27.425000000000001,26.863,2018]
["Comoros","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",15.129,13.662000000000001,13.266999999999999,13.217000000000001,14.86,14.827,14.53,18.765000000000001,18.391999999999999,16.838000000000001,16.364999999999998,21.305,19.654,18.788,2018]
["Congo, Dem. Rep.","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",11.670999999999999,12.47,15.920999999999999,13.984999999999999,13.736000000000001,12.75,18.489999999999998,17.231999999999999,14.476000000000001,10.388,11.162000000000001,10.92,10.781000000000001,11.096,2018]
["Congo, Rep.","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",27.553999999999998,25.337,24.597999999999999,29.45,39.720999999999997,54.279000000000003,61.713000000000001,57.4,54.465000000000003,35.238999999999997,22.561,22.920999999999999,23.669,24.67,2018]
["Costa Rica","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",15.74,16.948,18.488,17.606000000000002,17.875,19.167999999999999,19.212,19.286000000000001,19.346,20.021999999999998,19.684999999999999,20.423999999999999,20.431999999999999,20.222999999999999,2018]
["Cote d'Ivoire","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",20.167000000000002,19.884,19.995000000000001,18.242000000000001,22.312000000000001,21.919,21.029,22.811,23.957000000000001,24.872,23.827999999999999,23.295999999999999,23.279,23.347000000000001,2018]
["Croatia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",45.295999999999999,48.287999999999997,47.957999999999998,48.500999999999998,47.792000000000002,47.65,48.08,48.344999999999999,47.3,45.320999999999998,46.44,46.601999999999997,46.107999999999997,46.015000000000001,2018]
["Cyprus","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",38.225000000000001,41.893000000000001,42.045000000000002,42.345999999999997,41.905999999999999,41.865000000000002,40.024999999999999,39.326000000000001,37.692,37.122999999999998,44.462000000000003,38.317999999999998,41.667000000000002,41.826999999999998,2018]
["Czech Republic","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",40.637,44.2,43.514000000000003,43.034999999999997,44.48,42.603000000000002,42.433999999999997,41.698999999999998,39.482999999999997,38.944000000000003,40.598999999999997,41.354999999999997,41.414999999999999,41.402000000000001,2018]
["Denmark","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",50.411000000000001,56.536000000000001,56.673000000000002,56.429000000000002,57.954999999999998,55.82,55.218000000000004,54.527999999999999,52.664999999999999,51.158000000000001,51.302,51.488999999999997,51.15,51.073,2018]
["Djibouti","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",28.849,31.029,26.651,25.297999999999998,26.498000000000001,26.835000000000001,29.044,41.600999999999999,32.493000000000002,28.123000000000001,26.721,24.614999999999998,23.370999999999999,23.084,2018]
["Dominica","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",34.741,35.908999999999999,39.427,35.216999999999999,36.036999999999999,33.216000000000001,31.667999999999999,32.411999999999999,44.878,54.637,57.801000000000002,49.360999999999997,43.777999999999999,34.570999999999998,2019]
["Dominican Republic","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",18.286000000000001,16.248000000000001,15.798999999999999,15.946999999999999,20.117999999999999,17.690999999999999,16.989999999999998,16.655999999999999,16.954999999999998,17.238,16.492999999999999,17.37,17.059000000000001,16.933,2018]
["Ecuador","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",35.232999999999997,32.966000000000001,34.680999999999997,39.47,40.255000000000003,43.737000000000002,43.594000000000001,39.679000000000002,38.564999999999998,36.511000000000003,37.054000000000002,34.908999999999999,34.515000000000001,32.643000000000001,2018]
["Egypt, Arab Rep.","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",32.689,32.526000000000003,31.358000000000001,30.548999999999999,30.835999999999999,34.619999999999997,35.673999999999999,32.963999999999999,32.734000000000002,32.19,30.106999999999999,28.097999999999999,27.388000000000002,25.257999999999999,2018]
["El Salvador","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",22.92,25.122,25.044,24.562000000000001,24.297000000000001,24.433,23.738,23.550999999999998,23.774000000000001,23.939,24.094999999999999,24.513999999999999,24.492999999999999,24.030999999999999,2018]
["Equatorial Guinea","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",19.893000000000001,39.847000000000001,31.178999999999998,27.492999999999999,35.200000000000003,29.274000000000001,31.597999999999999,41.570999999999998,27.818999999999999,19.88,18.463999999999999,16.574999999999999,16.576000000000001,15.872,2017]
["Eritrea","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",63.021999999999998,43.826000000000001,46.84,34.744999999999997,34.999000000000002,34.4,22.957999999999998,31.594000000000001,25.943999999999999,33.576000000000001,27.068999999999999,32.389000000000003,38.128,36.787999999999997,2018]
["Estonia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",39.46,45.838000000000001,40.113,37.067,39.049999999999997,38.247999999999998,37.622999999999998,39.381999999999998,39.447000000000003,39.006999999999998,38.97,39.801000000000002,40.183,39.932000000000002,2018]
["Eswatini","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",32.450000000000003,32.880000000000003,30.152999999999999,24.404,26.271999999999998,27.948,31.282,32.951000000000001,35.840000000000003,36.642000000000003,35.235999999999997,34.076999999999998,31.971,32.003,2019]
["Ethiopia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",18.756,17.113,18.483000000000001,18.228000000000002,16.648,17.756,17.484000000000002,17.326000000000001,18.225000000000001,18.247,16.082999999999998,15.436,14.436999999999999,13.901,2018]
["Fiji","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",22.611000000000001,26.196999999999999,24.823,25.29,25.497,25.061,29.079000000000001,29.792000000000002,27.366,29.404,32.637,29.361000000000001,28.966999999999999,28.954000000000001,2018]
["Finland","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",48.259,54.758000000000003,54.755000000000003,54.384,56.204000000000001,57.518999999999998,58.109000000000002,57.042000000000002,55.915999999999997,54.182000000000002,53.475999999999999,53.188000000000002,53.204000000000001,53.124000000000002,2018]
["France","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",53.295999999999999,57.152000000000001,56.881999999999998,56.290999999999997,57.106999999999999,57.228000000000002,57.213999999999999,56.798000000000002,56.59,56.38,56.039000000000001,55.65,54.502000000000002,54.188000000000002,2018]
["Gabon","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",18.928999999999998,22.597999999999999,23.091000000000001,21.741,23.95,34.674999999999997,23.754999999999999,22.253,21.847999999999999,18.114000000000001,17.085000000000001,16.701000000000001,18.297999999999998,17.818999999999999,2018]
["Gambia, The","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",11.551,14.353,14.555,16.544,19.119,17.673999999999999,18.981999999999999,19.577999999999999,19.545000000000002,24.248000000000001,21.632000000000001,23.495000000000001,23.616,23.614999999999998,2018]
["Georgia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",32.665999999999997,35.813000000000002,33.06,29.088000000000001,29.567,28.866,29.942,29.366,29.879000000000001,29.721,29.518000000000001,30.14,30.041,30.082999999999998,2017]
["Germany","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",44.2,48.2,48.142000000000003,45.238,44.917999999999999,44.944000000000003,44.302999999999997,44.042000000000002,44.302,44.42,44.567,45.237000000000002,45.194000000000003,45.13,2018]
["Ghana","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",17.789000000000001,17.66,20.010999999999999,19.600000000000001,22.113,21.709,21.405000000000001,18.946000000000002,20.308,18.001999999999999,21.451000000000001,22.876000000000001,21.459,20.358000000000001,2018]
["Greece","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",50.844999999999999,54.078000000000003,52.478000000000002,54.085999999999999,52.758000000000003,51.572000000000003,50.189,50.594999999999999,48.9,47.293999999999997,46.715000000000003,48.021000000000001,47.485999999999997,46.905999999999999,2018]
["Grenada","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",28.327000000000002,27.983000000000001,28.248000000000001,28.786000000000001,26.686,28.114999999999998,29.158000000000001,25.655000000000001,23.917999999999999,22.588999999999999,22.026,21.806000000000001,21.317,20.931000000000001,2018]
["Guatemala","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",13.64,14.193,14.526,14.423,14.015000000000001,13.772,13.395,12.27,12.087999999999999,12.106999999999999,12.324999999999999,12.364000000000001,12.821999999999999,12.856999999999999,2018]
["Guinea","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",10.085000000000001,16.25,20.486999999999998,16.041,20.041,18.638999999999999,20.178000000000001,21.702000000000002,16.137,17.376999999999999,15.714,18.395,17.544,18.116,2018]
["Guinea-Bissau","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",23.872,22.097999999999999,20.518000000000001,18.215,13.763,13.17,24.707000000000001,23.64,21.664999999999999,19.713999999999999,21.198,24.356000000000002,22.855,22.962,2018]
["Guyana","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",31.27,32.825000000000003,30.923999999999999,30.64,31.241,30.099,31.213000000000001,29.292000000000002,32.381,34.83,34.340000000000003,37.024999999999999,21.163,21.213999999999999,2018]
["Haiti","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",17.946999999999999,20.344999999999999,22.631,24.452999999999999,28.556000000000001,27.959,25.234999999999999,21.672999999999998,18.689,17.503,19.254999999999999,17.231000000000002,17.829000000000001,17.428999999999998,2018]
["Honduras","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",26.408999999999999,28.352,26.463000000000001,25.911999999999999,26.356000000000002,29.576000000000001,27.638000000000002,26.021999999999998,27.382999999999999,26.899000000000001,26.492999999999999,26.925999999999998,27.314,27.852,2018]
["Hong Kong SAR, China","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",18.791,17.286000000000001,16.593,18.625,18.294,20.035,17.253,18.027000000000001,18.242999999999999,17.327000000000002,18.329999999999998,19.577999999999999,18.699000000000002,18.853999999999999,2019]
["Hungary","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",48.468000000000004,50.326000000000001,49.311999999999998,49.523000000000003,48.533000000000001,49.360999999999997,49.457000000000001,50.085000000000001,46.79,46.93,46.47,46.35,45.494999999999997,44.506999999999998,2018]
["Iceland","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",54.496000000000002,47.389000000000003,47.784999999999997,44.225000000000001,43.83,42.396000000000001,43.813000000000002,41.375,44.51,43.345999999999997,41.533999999999999,40.936,41.923999999999999,41.676000000000002,2018,null,null,null,null,"SP"]
["India","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",28.69,28.052,27.446999999999999,27.640999999999998,27.364000000000001,26.6,26.22,27.056999999999999,27.283000000000001,26.832000000000001,26.175000000000001,27.134,26.885999999999999,26.713999999999999,2018,null,null,null,null,10.7,{"$f":"S81/100*Y81","v":2.8583979999999998},"as per MM Email 24 Sept"]
["Indonesia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",19.393999999999998,17.026,16.885999999999999,17.713000000000001,18.835999999999999,19.081,18.606000000000002,17.478000000000002,16.824000000000002,16.565000000000001,16.643999999999998,16.343,16.228000000000002,16.28,2018]
["Iran, Islamic Republic of","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",21.285,19.890999999999998,18.385999999999999,18.306000000000001,14.268000000000001,14.378,15.409000000000001,17.885000000000002,19.548999999999999,19.349,18.238,17.335999999999999,17.661999999999999,18.189,2018]
["Iraq","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",57.253999999999998,58.932000000000002,49.575000000000003,43.369,42.892000000000003,48.249000000000002,43.783000000000001,43.442,40.743000000000002,34.649000000000001,31.954000000000001,43.939,43.042000000000002,41.764000000000003,2017]
["Ireland","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",41.813000000000002,47.012,65.052000000000007,46.63,42.072000000000003,40.423999999999999,37.552,28.92,27.766999999999999,26.062999999999999,25.306999999999999,25.294,24.704999999999998,24.513000000000002,2018]
["Israel","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",42.048999999999999,42.082000000000001,40.408999999999999,39.744999999999997,40.4,40.347000000000001,38.973999999999997,37.764000000000003,37.899000000000001,38.761000000000003,39.412999999999997,39.598999999999997,39.624000000000002,39.649000000000001,2017]
["Italy","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",47.83,51.158000000000001,49.89,49.378999999999998,50.787999999999997,51.064999999999998,50.9,50.264000000000003,49.039000000000001,48.911999999999999,48.584000000000003,48.777999999999999,49.152999999999999,49.201999999999998,2018]
["Jamaica","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",34.799999999999997,38.667000000000002,33.174999999999997,31.978000000000002,29.808,27.027999999999999,26.748999999999999,27.286999999999999,28.138999999999999,28.597000000000001,29.437000000000001,29.271000000000001,28.622,28.298999999999999,2019]
["Japan","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",34.963000000000001,39.511000000000003,38.548999999999999,39.417999999999999,39.374000000000002,39.485999999999997,38.889000000000003,38.021999999999998,37.947000000000003,37.417000000000002,37.07,36.966000000000001,36.813000000000002,36.612000000000002,2017]
["Jordan","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",35.024000000000001,35.576000000000001,32.880000000000003,36.307000000000002,37.137999999999998,33.985999999999997,36.085000000000001,33.268999999999998,28.92,29.353000000000002,30.896999999999998,30.332999999999998,30.172000000000001,29.751999999999999,2018]
["Kazakhstan","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",27.068000000000001,23.47,22.472999999999999,21.234000000000002,21.911999999999999,19.809000000000001,21.26,22.87,21.521000000000001,24.667000000000002,19.544,20.63,21.079000000000001,21.143000000000001,2018]
["Kenya","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",22.826000000000001,23.134,24.212,23.571999999999999,24.175999999999998,25.396000000000001,27.15,27.195,27.65,26.132999999999999,25.47,25.312000000000001,24.765999999999998,24.292999999999999,2018]
["Kiribati","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",82.736000000000004,79.039000000000001,80.263000000000005,87.593999999999994,91.712000000000003,85.412999999999997,113.036,102.02500000000001,114.752,110.748,154.14500000000001,141.26599999999999,119.845,99.85,2017]
["Korea, Rep.","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",19.908999999999999,20.349,18.628,19.07,19.666,19.905000000000001,19.757999999999999,19.738,19.488,19.638000000000002,20.433,22.131,23.384,23.962,2017]
["Kosovo","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",24.254999999999999,26.872,27.561,28.265999999999998,28.431000000000001,27.899000000000001,26.507999999999999,26.998999999999999,27.760999999999999,27.577999999999999,28.978999999999999,30.071999999999999,29.513000000000002,28.407,2018]
["Kuwait","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",40.396000000000001,42.186999999999998,44.741,39.058,38.814999999999998,38.146000000000001,44.280999999999999,54.405999999999999,53.758000000000003,51.88,49.384,53.515999999999998,54.658000000000001,55.752000000000002,2017]
["Kyrgyz Republic","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",27.884,32.540999999999997,37.106999999999999,37.366999999999997,40.584000000000003,38.146999999999998,38.963000000000001,38.274000000000001,39.890999999999998,38.31,34.112000000000002,36.048000000000002,35.465000000000003,35.613,2018]
["Lao PDR","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",16.053999999999998,20.103000000000002,22.402000000000001,20.189,24.719000000000001,24.24,24.986999999999998,25.782,21.085000000000001,21.555,19.91,20.052,19.986000000000001,19.911000000000001,2017]
["Latvia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",36.616,42.789000000000001,43.024000000000001,38.828000000000003,37.177999999999997,37.267000000000003,37.81,37.78,36.606999999999999,36.423000000000002,37.590000000000003,36.523000000000003,36.171999999999997,35.424999999999997,2018]
["Lebanon","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",34.197000000000003,32.015999999999998,29.17,28.713999999999999,30.082999999999998,28.922999999999998,28.713999999999999,26.635000000000002,28.233000000000001,30.361999999999998,31.481999999999999,31.233000000000001,34.402999999999999,34.898000000000003,2017]
["Lesotho","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",49.584000000000003,60.369,50.962000000000003,55.442,53.64,55.037999999999997,47.1,48.997999999999998,49.268999999999998,46.305999999999997,46.539000000000001,46.043999999999997,45.457999999999998,44.773000000000003,2018]
["Liberia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",21.425000000000001,23.561,24.654,29.36,30.248999999999999,33.052,32.323,36.219000000000001,35.487000000000002,33.363999999999997,32.427999999999997,34.225999999999999,35.093000000000004,34.817999999999998,2018]
["Libya","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",48.186,72.143000000000001,57.856999999999999,59.651000000000003,45.692,88.087999999999994,143.10499999999999,182.178,145.06899999999999,94.787999999999997,86.852000000000004,114.55,110.991,109.998,2018]
["Lithuania","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",37.036999999999999,43.65,41.209000000000003,41.503999999999998,35.216000000000001,34.715000000000003,34.027000000000001,34.317999999999998,33.332999999999998,32.304000000000002,33.237000000000002,34.520000000000003,34.674999999999997,34.904000000000003,2018]
["Luxembourg","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",39.695999999999998,45.143000000000001,44.125999999999998,42.366,44.07,43.322000000000003,41.966000000000001,41.911000000000001,41.868000000000002,42.973999999999997,43.109000000000002,43.640999999999998,43.825000000000003,43.875,2018]
["Macao SAR","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",15.769,19.617000000000001,17.2,15.239000000000001,15.247,11.271000000000001,12.994,17.812000000000001,18.715,18.582000000000001,18.786999999999999,19.158999999999999,20.363,20.68,2017]
["Madagascar","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",17.901,14.069000000000001,14.042999999999999,14.06,13.442,14.885,14.73,15.205,15.85,17.175000000000001,16.332999999999998,18.658000000000001,19.454999999999998,19.908000000000001,2018]
["Malawi","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",31.766999999999999,30.478999999999999,29.986000000000001,26.068999999999999,28.914999999999999,34.703000000000003,29.829000000000001,31.056000000000001,30.960999999999999,32.567,29.138000000000002,28.530999999999999,27.620999999999999,27.494,2018]
["Malaysia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",26.92,30.888999999999999,26.603999999999999,27.088000000000001,28.504999999999999,27.78,25.957000000000001,24.707999999999998,22.698,21.577999999999999,22.702999999999999,22.969000000000001,20.538,20.413,2018]
["Maldives","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",35.423999999999999,36.944000000000003,33.043999999999997,29.940999999999999,29.302,27.311,33.533999999999999,33.874000000000002,36.052999999999997,30.094000000000001,31,30.998999999999999,31.509,31.067,2018]
["Mali","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",18.875,22.814,20.260999999999999,20.562000000000001,15.531000000000001,19.759,20.018000000000001,20.939,22.268000000000001,22.905999999999999,20.187999999999999,25.062999999999999,22.818000000000001,22.797999999999998,2018]
["Malta","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",42.636000000000003,41.881999999999998,41.061999999999998,41.265000000000001,42.713000000000001,41.945999999999998,41.072000000000003,39.540999999999997,36.515999999999998,35.762999999999998,36.777000000000001,37.893999999999998,36.970999999999997,36.921999999999997,2018]
["Marshall Islands","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",60.7,61.576000000000001,56.667999999999999,54.883000000000003,51.53,53.307000000000002,49.435000000000002,56.978999999999999,57.902999999999999,65.53,62.832999999999998,69.491,70.150000000000006,70.233000000000004,2017]
["Mauritania","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",25.591999999999999,25.276,22.478000000000002,22.306999999999999,27.709,25.754000000000001,29.457000000000001,32.832999999999998,28.521000000000001,28.132000000000001,27.093,26.449000000000002,27.056000000000001,26.995999999999999,2017]
["Mauritius","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",22.704000000000001,24.8,23.504000000000001,23.359000000000002,22.161000000000001,23.82,22.997,24.39,24.542000000000002,23.931000000000001,24.771000000000001,24.867999999999999,25.103000000000002,24.649000000000001,2018]
["Mexico","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",27.733000000000001,27.795000000000002,27.673999999999999,27.716000000000001,28.213999999999999,27.777000000000001,27.972999999999999,27.527000000000001,27.367000000000001,25.748999999999999,25.669,25.661999999999999,24.902999999999999,24.667000000000002,2018]
["Micronesia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",59.33,63.587000000000003,67.248000000000005,65.399000000000001,65.313999999999993,59.765000000000001,54.478000000000002,55.94,61.838000000000001,64.397000000000006,69.084999999999994,68.680000000000007,65.724999999999994,64.781000000000006,2018]
["Moldova","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",34.576999999999998,37.744,34.095999999999997,32.561999999999998,33.667999999999999,32.442,33.392000000000003,31.904,30.329000000000001,30.648,31.562000000000001,33.651000000000003,33.5,32.880000000000003,2018]
["Mongolia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",37.628999999999998,35.454000000000001,31.574999999999999,37.932000000000002,36.06,32.151000000000003,32.143999999999998,30.832999999999998,39.658000000000001,32.332000000000001,28.738,30.359000000000002,31.03,32.418999999999997,2018]
["Montenegro","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",51.097999999999999,51.338999999999999,46.646999999999998,45.279000000000003,45.707000000000001,45.826999999999998,44.209000000000003,46.417000000000002,47.515999999999998,47.195999999999998,47.689,45.652000000000001,41.921999999999997,39.993000000000002,2018]
["Morocco","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",30.577999999999999,30.417000000000002,31.07,33.798000000000002,35.216000000000001,32.933,32.875,30.702999999999999,30.527999999999999,30.05,29.760999999999999,29.934999999999999,29.614999999999998,29.401,2018]
["Mozambique","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",23.933,28.873999999999999,29.914999999999999,32.174999999999997,30.837,34.145000000000003,42.518999999999998,35.231999999999999,32.210999999999999,31.379000000000001,31.157,37.037999999999997,34.706000000000003,32.558,2018]
["Myanmar","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",13.179,12.677,13.628,13.939,18.126000000000001,22.561,23.777000000000001,24.207999999999998,23.024000000000001,20.887,20.376999999999999,20.619,21.158999999999999,21.399000000000001,2018]
["Namibia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",27.885999999999999,31.196000000000002,32.725000000000001,36.762999999999998,33.781999999999996,35.479999999999997,39.798000000000002,41.393000000000001,38.820999999999998,35.619,34.015000000000001,34.045000000000002,34.493000000000002,34.634999999999998,2019]
["Nauru","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).","n/a",68.331999999999994,74,44.521999999999998,51.405999999999999,69.141999999999996,71.367999999999995,99.057000000000002,93.427000000000007,100.46,107.699,111.58,115.88,117.762,2017]
["Nepal","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",15.273999999999999,19.369,18.768999999999998,18.643999999999998,19.305,17.82,18.844999999999999,20.103999999999999,21.949000000000002,27.193000000000001,31.923999999999999,30.556000000000001,30.558,30.271000000000001,2018]
["Netherlands","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",42.337000000000003,46.749000000000002,47.04,45.954999999999998,45.942999999999998,45.695999999999998,44.926000000000002,43.802999999999997,42.786000000000001,42.445,42.054000000000002,42.774999999999999,43.23,43.076999999999998,2018]
["New Zealand","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",38.531999999999996,40.436,43.036999999999999,42.341999999999999,39.749000000000002,38.639000000000003,37.728000000000002,37.421999999999997,36.658000000000001,36.171999999999997,36.665999999999997,37.167999999999999,37.186999999999998,36.680999999999997,2018]
["Nicaragua","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",21.896000000000001,22.747,22.588000000000001,23.533999999999999,24.085000000000001,24.202999999999999,24.587,25.559000000000001,26.792999999999999,26.934000000000001,27.303999999999998,27.437000000000001,27.547000000000001,25.297999999999998,2018]
["Niger","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",22.641999999999999,23.931000000000001,20.622,19.41,22.548999999999999,27.196999999999999,31.056000000000001,32.356000000000002,26.334,26.808,29.157,29.829000000000001,29.029,28.109000000000002,2017]
["Nigeria","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",14.375,15.47,16.645,17.350999999999999,14.052,13.375,12.644,11.074,9.4909999999999997,12.007999999999999,13.037000000000001,12.673999999999999,12.087,11.834,2018]
["North Macedonia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",33.762,33.561999999999998,32.51,31.856000000000002,33.256999999999998,31.67,31.713999999999999,32.222000000000001,31.105,31.841000000000001,30.292999999999999,32.244999999999997,32.939,32.718000000000004,2018]
["Norway","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",39.633000000000003,45.415999999999997,44.304000000000002,43.152999999999999,42.311,43.345999999999997,45.15,48.125999999999998,50.28,49.408000000000001,48.003,48.078000000000003,47.661000000000001,48.058,2018]
["Oman","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",29.324999999999999,38.244,34.844999999999999,39.302999999999997,44.070999999999998,44.854999999999997,47.356000000000002,50.874000000000002,51.188000000000002,45.773000000000003,45.390999999999998,43.19,43.441000000000003,43.073999999999998,2018]
["Pakistan","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",21.442,19.274999999999999,20.337,19.349,21.655999999999999,21.821000000000002,20.094999999999999,19.771000000000001,19.934999999999999,21.303000000000001,21.631,21.6,23.638000000000002,23.309000000000001,2018]
["Palau","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",44.558,42.484999999999999,47.686,43.866,43.994,40.442999999999998,40.237000000000002,35.820999999999998,37.997,35.335000000000001,38.179000000000002,40.195,38.991,38.228000000000002,2018]
["Panama","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",23.523,23.492999999999999,24.87,24.263999999999999,23.579000000000001,24.04,23.265000000000001,21.952999999999999,21.902000000000001,21.838999999999999,21.725999999999999,21.067,20.321999999999999,19.535,2018]
["Papua New Guinea","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",19.754000000000001,24.651,18.393999999999998,19.687999999999999,22.417000000000002,27.61,27.05,22.879000000000001,20.867999999999999,18.704999999999998,22.443000000000001,21.135999999999999,20.699000000000002,20.077999999999999,2015]
["Paraguay","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",12.842000000000001,15.215,14.779,15.87,18.678999999999998,17.626000000000001,18.007999999999999,20.483000000000001,19.475000000000001,19.465,19.032,18.55,18.588999999999999,18.632999999999999,2018]
["Peru","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",19.542000000000002,21.4,20.952999999999999,19.742000000000001,20.317,21.556999999999999,22.617999999999999,22.402000000000001,21.062000000000001,21.236000000000001,21.408999999999999,21.48,21.628,21.425999999999998,2018]
["Philippines","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",18.646999999999998,20.081,19.155000000000001,17.914999999999999,18.916,18.652000000000001,18.091999999999999,18.765000000000001,19.492000000000001,19.965,21.768000000000001,21.356999999999999,22.312999999999999,22.611999999999998,2018]
["Poland","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",44.295000000000002,45.042000000000002,45.808,43.88,42.859000000000002,42.594999999999999,42.395000000000003,41.671999999999997,41.106999999999999,41.23,41.548999999999999,42.795999999999999,42.966999999999999,42.487000000000002,2018]
["Portugal","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",45.277000000000001,50.232999999999997,51.911000000000001,50.036000000000001,48.557000000000002,49.875,51.728000000000002,48.124000000000002,44.808999999999997,45.356999999999999,43.466999999999999,43.414999999999999,43.158999999999999,42.973999999999997,2018]
["Puerto Rico","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).","n/a","n/a","n/a","n/a","n/a","n/a",22.513999999999999,21.513000000000002,20.975999999999999,21.794,24.34,25.067,24.407,22.338999999999999,2016]
["Qatar","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",23.006,32.854999999999997,30.611999999999998,28.501999999999999,30.986999999999998,28.292999999999999,33.398000000000003,42.264000000000003,40.137999999999998,33.453000000000003,29.602,30.050999999999998,29.579000000000001,29.364999999999998,2018]
["Romania","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",35.271000000000001,36.313000000000002,38.287999999999997,36.728999999999999,35.018999999999998,33.960999999999999,33.774000000000001,34.161000000000001,31.271999999999998,30.834,32.228000000000002,33.491,34.033999999999999,34.271000000000001,2018]
["Russian Federation","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",31.978000000000002,38.557000000000002,35.469000000000001,33.226999999999997,34.058999999999997,34.643000000000001,34.926000000000002,35.271000000000001,36.417000000000002,34.732999999999997,32.616999999999997,33.948,34.090000000000003,34.360999999999997,2018]
["Rwanda","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",23.626000000000001,23.236000000000001,24.95,25.573,25.314,26.832999999999998,28.265999999999998,27.402999999999999,25.786999999999999,25.402000000000001,26.73,26.742000000000001,26.266999999999999,25.783000000000001,2018]
["Samoa","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",28.401,33.183999999999997,39.862000000000002,36.037999999999997,37.345999999999997,37.57,43.344999999999999,38.935000000000002,36.475999999999999,35.302999999999997,34.186999999999998,35.206000000000003,35.655999999999999,35.956000000000003,2018]
["San Marino","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",22.032,24.837,24.363,25.376000000000001,30.576000000000001,30.16,23.731999999999999,26.292999999999999,23.436,25.699000000000002,25.669,23.25,24.568000000000001,24.477,2017]
["Sao Tome and Principe","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",30.446999999999999,51.936999999999998,49.947000000000003,52.2,46.207000000000001,31.548999999999999,30.422000000000001,34.207000000000001,32.396000000000001,27.632000000000001,25.597999999999999,24.035,23.904,23.292000000000002,2018]
["Saudi Arabia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",26.68,37.066000000000003,33.012,32.843000000000004,33.232999999999997,35.527000000000001,40.213999999999999,40.811,38.682000000000002,33.305,36.575000000000003,39.031999999999996,37.594000000000001,37.694000000000003,2018]
["Senegal","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",20.736000000000001,20.901,21.552,23.137,22.760999999999999,22.036000000000001,23.1,22.966000000000001,23.963000000000001,22.036000000000001,22.209,23.22,23.689,24.614000000000001,2018]
["Serbia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",42.749000000000002,42.777000000000001,42.856999999999999,41.636000000000003,45.131,42.311,44.808,42.686999999999998,41.875999999999998,40.134999999999998,40.795000000000002,41.180999999999997,40.497999999999998,40.228999999999999,2018]
["Seychelles","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",26.989000000000001,32.116999999999997,34.576000000000001,36.335999999999999,38.600999999999999,37.792000000000002,33.790999999999997,32.356999999999999,37.69,35.944000000000003,37.384999999999998,37.503,36.079000000000001,36.417000000000002,2018]
["Sierra Leone","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",16.161000000000001,17.475999999999999,20.221,21.504000000000001,20.332999999999998,15.654,17.645,20.74,23.34,23.428999999999998,21.524000000000001,21.3,21.222999999999999,21.242999999999999,2018]
["Singapore","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",13.975,15.855,10.231,9.6609999999999996,9.8260000000000005,10.914,12.577999999999999,14.443,15.243,13.795,14.621,14.318,14.818,15.018000000000001,2019]
["Slovak Republic","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",36.936,44.084000000000003,42.145000000000003,40.817,40.630000000000003,41.441000000000003,42.034999999999997,45.09,41.45,40.195999999999998,40.627000000000002,40.389000000000003,40.398000000000003,40.087000000000003,2018]
["Slovenia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",40.716000000000001,45.148000000000003,45.905000000000001,45.904000000000003,44.493000000000002,54.085000000000001,46.936,43.762,40.881999999999998,39.783999999999999,39.488999999999997,39.753999999999998,39.709000000000003,39.622,2018]
["Solomon Islands","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",46.762999999999998,53.45,56.408999999999999,47.71,48.798999999999999,46.81,45.198999999999998,47.951000000000001,47.125,47.54,44.9,45.295999999999999,45.125,44.881999999999998,2017]
["Somalia","General government total expenditure","Percent of GDP"]
["South Africa","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",28.672000000000001,31.709,31.446999999999999,30.876999999999999,31.367999999999999,31.594000000000001,31.852,32.927,32.662999999999997,32.633000000000003,33.444000000000003,35.292999999999999,35.877000000000002,35.621000000000002,2018]
["South Sudan","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).","n/a","n/a","n/a",21.033999999999999,31.617999999999999,25.335999999999999,36.390999999999998,35.436,45.497,33.566000000000003,32.75,28.82,34.658999999999999,38.622,2018]
["Spain","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",41.155999999999999,45.780999999999999,45.627000000000002,45.83,48.101999999999997,45.561999999999998,44.845999999999997,43.725000000000001,42.204000000000001,40.994,41.343000000000004,41.311,41.040999999999997,40.935000000000002,2018]
["Sri Lanka","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",19.728999999999999,21.72,19.960999999999999,19.853000000000002,17.824000000000002,17.209,17.856999999999999,20.353000000000002,19.454999999999998,19.175999999999998,18.638000000000002,18.603999999999999,19.341000000000001,19.222999999999999,2018]
["St. Kitts and Nevis","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",31.289000000000001,32.502000000000002,34.203000000000003,30.948,28.689,30.99,33.244,33.161999999999999,30.135999999999999,30.321000000000002,33.450000000000003,31.414000000000001,32.25,30.873000000000001,2018]
["St. Lucia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",24.692,26.231000000000002,27.317,29.298999999999999,30.837,28.087,26.041,25.66,24.856000000000002,25.161999999999999,25.044,25.957999999999998,26.216000000000001,26.064,2018]
["St. Vincent and the Grenadines","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",29.837,32.834000000000003,32.840000000000003,31.010999999999999,27.76,31.26,32.235999999999997,28.724,28.445,30.238,30.271999999999998,30.248000000000001,30.276,30.187999999999999,2018]
["Sudan","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",19.712,18.754999999999999,17.350999999999999,18.233000000000001,16.48,15.321999999999999,13.509,12.237,11.48,13.706,15.132999999999999,17.811,16.873999999999999,17.149000000000001,2018]
["Suriname","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",21.95,25.721,22.515000000000001,22.538,28.538,28.771999999999998,29.123000000000001,31.225999999999999,27.675999999999998,32.276000000000003,31.248999999999999,35.601999999999997,35.023000000000003,33.988,2017]
["Sweden","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",48.923000000000002,51.058999999999997,49.069000000000003,48.430999999999997,49.63,50.45,49.554000000000002,48.158999999999999,48.417999999999999,47.951000000000001,48.405999999999999,48.402000000000001,48.314,48.042000000000002,2018]
["Switzerland","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",30.437000000000001,32.216999999999999,32.045999999999999,31.949000000000002,32.182000000000002,33.131,32.655000000000001,32.850999999999999,32.902999999999999,32.93,32.430999999999997,32.543999999999997,32.39,32.396000000000001,2017]
["Syrian Arab Republic","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",22.928999999999998,26.742000000000001,28.638000000000002,"n/a","n/a","n/a","n/a","n/a","n/a","n/a","n/a","n/a","n/a","n/a",2009]
["Taiwan, China","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",19.702000000000002,22.486999999999998,20.061,20.138000000000002,20.114999999999998,19.38,18.302,17.654,17.864000000000001,17.756,17.867999999999999,17.326000000000001,17.356000000000002,17.385999999999999,2018]
["Tajikistan","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",27.181000000000001,28.643999999999998,26.138999999999999,27.027000000000001,24.545000000000002,27.84,28.521000000000001,31.916,38.945999999999998,35.631999999999998,31.869,31.832999999999998,31.056999999999999,31.091999999999999,2017]
["Tanzania","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",18.239999999999998,19.884,19.96,18.873999999999999,19.503,18.841999999999999,17.289000000000001,17.151,16.911000000000001,16.573,16.516999999999999,16.864999999999998,17.626999999999999,18.141999999999999,2018]
["Thailand","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",19.225999999999999,21.722000000000001,22.009,21.113,22.251000000000001,21.635999999999999,22.186,22.183,21.370999999999999,21.995000000000001,21.603999999999999,21.632000000000001,21.62,22.152999999999999,2018]
["Timor-Leste","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",18.068000000000001,27.678000000000001,26.745999999999999,24.494,22.527000000000001,23.798999999999999,39.744,50.42,72.346000000000004,55.142000000000003,48.893000000000001,53.334000000000003,57.280999999999999,51.143000000000001,2017]
["Togo","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",17.07,19.966000000000001,20.884,25.492999999999999,26.692,26.661000000000001,27.51,30.655000000000001,31.102,21.641999999999999,24.667999999999999,25.59,26.516999999999999,26.274999999999999,2018]
["Tonga","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",23.552,25.895,30.135999999999999,30.451000000000001,31.652000000000001,32.76,34.625,39.451000000000001,40.436999999999998,40.020000000000003,43.100999999999999,46.883000000000003,47.905000000000001,46.256999999999998,2017]
["Trinidad and Tobago","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",28.196999999999999,33.398000000000003,31.521000000000001,30.402000000000001,31.085999999999999,33.447000000000003,35.232999999999997,36.51,35.203000000000003,33.142000000000003,31.274000000000001,34.064,34.076999999999998,33.381999999999998,2018]
["Tunisia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",24.829000000000001,25.843,25.172999999999998,29.295000000000002,29.776,32.426000000000002,29.791,29.167999999999999,28.878,30.420999999999999,30.686,32.521000000000001,31.762,30.815000000000001,2016]
["Turkey","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",34.465000000000003,38.161000000000001,36.100999999999999,33.371000000000002,34.408000000000001,34.192999999999998,33.232999999999997,33.369999999999997,35.082999999999998,33.616999999999997,34.610999999999997,34.811999999999998,35.170999999999999,35.612000000000002,2018]
["Turkmenistan","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",10.866,13.406000000000001,13.792999999999999,14.619,14.663,16.876000000000001,17.010999999999999,17.312999999999999,14.117000000000001,17.768000000000001,13.736000000000001,13.239000000000001,12.943,12.891999999999999,2017]
["Tuvalu","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",89.62,102.809,96.231999999999999,79.108999999999995,79.376999999999995,83.823999999999998,109.84,121.22,135.60300000000001,127.88500000000001,111.03700000000001,140.261,116.46899999999999,109.63200000000001,2018]
["Uganda","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",16.797000000000001,15.254,18.835999999999999,17.164999999999999,16.506,16.728999999999999,18.094999999999999,19.84,19.684999999999999,18.911000000000001,20.119,23.704000000000001,25.798999999999999,22.888000000000002,2018]
["Ukraine","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",47.113,48.622999999999998,49.15,45.7,48.972000000000001,48.11,44.774000000000001,43.042999999999999,40.555,41.481999999999999,41.741,41.323999999999998,39.966000000000001,39.579000000000001,2018]
["United Arab Emirates","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",21.95,34.997,32.231000000000002,31.170999999999999,29.140999999999998,30.327000000000002,33.127000000000002,32.36,30.882000000000001,30.571999999999999,30.084,31.012,31.212,30.494,2017]
["United Kingdom","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",40.482999999999997,44.078000000000003,44.468000000000004,43.21,43.265999999999998,41.445999999999998,40.54,39.670999999999999,38.856000000000002,38.406999999999996,38.273000000000003,38.362000000000002,38.479999999999997,38.347999999999999,2018]
["United States","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",37.286000000000001,41.481000000000002,39.909999999999997,38.895000000000003,37.243000000000002,35.968000000000004,35.466999999999999,35.151000000000003,35.457999999999998,35.247999999999998,35.14,36.192,36.405999999999999,36.506999999999998,2018]
["Uruguay","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",28.684999999999999,29.667000000000002,29.893000000000001,28.724,30.196000000000002,31.449000000000002,31.742999999999999,31.084,32.496000000000002,32.398000000000003,33.207999999999998,33.552,33.311999999999998,33.380000000000003,2018]
["Uzbekistan","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",27.094999999999999,28.109000000000002,27.672999999999998,25.428999999999998,25.873999999999999,26.114000000000001,25.620999999999999,24.471,23.763999999999999,22.931999999999999,25.65,24.771999999999998,25.04,25.356000000000002,2018,null,null,null,{"$f":"R192/100*6.21","v":1.5549840000000001}]
["Vanuatu","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",27.015999999999998,26.774000000000001,27.117000000000001,24.431000000000001,23.395,21.666,26.97,39.252000000000002,34.738999999999997,35.72,30.707999999999998,35.905999999999999,31.901,32.335999999999999,2017]
["Venezuela, RB","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",34.878999999999998,33.268999999999998,31.099,39.360999999999997,40.284999999999997,39.665999999999997,50.119,30.314,25.151,36.569000000000003,34.722999999999999,"n/a","n/a","n/a",2017]
["Vietnam","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",27.067,31.606000000000002,30.016999999999999,27.026,29.456,30.526,28.529,30.196999999999999,27.843,29.224,28.841000000000001,27.766999999999999,27.56,27.120999999999999,2017]
["Yemen, Rep.","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",41.247,35.215000000000003,30.202999999999999,29.84,36.218000000000004,30.797000000000001,27.78,22.306999999999999,17.7,9.1359999999999992,12.141999999999999,15.398,15.339,15.673,2017]
["Zambia","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",19.457000000000001,17.806999999999999,18.065999999999999,19.527000000000001,21.526,23.837,24.693000000000001,28.309000000000001,24.335000000000001,25.187999999999999,27.378,24.167000000000002,24.800999999999998,23.251999999999999,2017]
["Zimbabwe","General government total expenditure","Percent of GDP",null,"See notes for:  General government total expenditure (National currency).",3.7869999999999999,11.835000000000001,18.09,23.236999999999998,20.404,20.92,20.448,20.524999999999999,23.372,22.484000000000002,17.518000000000001,17.504999999999999,18.074999999999999,19.890999999999998,2017]
[1,2,3,4,5,null,null,null,6,7,8,9,10,11,12,null,null,13,14,15]
["International Monetary Fund, World Economic Outlook Database, April 2019"]

{"sheet":"PS_Source_National_Budgets","index":33,"n_rows":181,"n_cols":27,"rows_kept":181,"cut":false,"hidden":false,"merged":[]}
["INDICATOR S1: Government spending on education, health and social protection as % of total spending (extracted from National Budgets)"]
[]
[null,null,"SPENDING AS A % TOTAL BUDGET",null,null,"SPENDING AS A % TOTAL BUDGET",null,null,"SPENDING AS A % TOTAL BUDGET",null,null,null,null,null,null,null,null,"SPENDING AS A % GDP",null,null,"SPENDING AS A % GDP",null,null,"SPENDING AS A % GDP"]
["Country Name","Region","Education - % total government budget","Year ","Source ","Health - % total government budget","Year","Source ","Social protection % total government budget","Year ","Source","NOTES",null,null,null,null,"Country Name","Education - % GDP","Year ","Source ","Health - % GDP","Year","Source ","Social protection % GDP","Year ","Source","NOTES"]
[1,{"$f":"A5+1","v":2},{"$f":"B5+1","v":3},4,5,6,7,8,9,10,11,12]
["Afghanistan","SA"]
["Albania","ECA"]
["Algeria","MENA"]
["Angola","SSA",null,null,null,null,null,null,null,null,null,null,null,"I USED CEPAL AS MATTHEW WANTS ME TO CHECK FURTHER FOR MORE INFORMATION ON SPENDING FOR ARGENTINA"]
["Antigua and Barbuda","LAC"]
["Argentina","LAC",4.9400000000000004,2019,"Nat Bud",3.55,2019,"Nat Bud",47.77,2019,"Nat Budget","Working sheet MH dropbox","Argentina ","Year",2017]
["Armenia","ECA",null,null,null,null,null,null,null,null,null,null,"working","2019 Argentina Overall Planned Total","Planned","Actual","Planned","Actual"]
["Australia","EAP",null,null,null,null,null,null,null,null,null,null,"information"]
["Austria","ECA",null,null,null,null,null,null,null,null,null,null,null,"Education",243051.47673200001,156960.56274724999,6.4233209600065733E-2,6.358463519613762E-2]
["Azerbaijan","ECA",null,null,null,null,null,null,null,null,null,null,null,"Health",174804.55435600001,91381.979644890002,3.7374251611026622E-2,3.7018788270896448E-2]
["Bahamas, The",null,null,null,null,null,null,null,null,null,null,null,null,"Social Protection (1+2)",2351941.6239390001,913859.05378344003,0.48228965508689969,0.37020378583298374]
["Bahrain","MENA",null,null,null,null,null,null,null,null,null,null,null,"Promocion y asistencia social (1)",56963.052063000003,50556.628822259998,2.1721114791201566E-2,2.0480461742395609E-2]
["Bangladesh","SA",null,null,null,null,null,null,null,null,null,null,null,"Pension y seguro social (2)",1207828.8794859999,1192489.9940984901,0.46056854029569816,0.48307702216826603]
["Barbados","LAC"]
["Belarus","ECA"]
["Belgium","ECA"]
["Belize","LAC"]
["Benin","SSA"]
["Bhutan","SA",null,null,null,null,null,null,null,null,null,null,null,"Education","%GDP","Year",null,"Health","%GDP","Year",null,"SP","% GDP","Year"]
["Bolivia","LAC",23.038084461882701,2016,"UDAPE",14.7294875360828,2016,"UDAPE",12.4322457399174,2016,"UDAPE","Email from Veronica 12.06.20",null,"Udape",8.66321779793115,2016,null,"Udape",5.5388614790489301,2016,null,"Udape",4.6750090156369097,2016]
["Botswana","SSA"]
["Brazil","LAC"]
["Brunei Darussalam","EAP"]
["Bulgaria","ECA"]
["Burkina Faso","SSA"]
["Burundi","SSA"]
["Cabo Verde","SSA"]
["Cambodia","EAP"]
["Cameroon","SSA"]
["Canada","NA"]
["Central African Republic","SSA"]
["Chad","SSA"]
["Chile","LAC",20.7,2019,"Nat Bud",16.27,2019,"Nat Bud",null,null,null,"Working sheet MH dropbox","MH amended Ed and Healthon 07/08/2020"]
["China","EAP"]
["Colombia","LAC"]
["Congo, Dem. Rep.","SSA"]
["Congo, Rep.","SSA"]
["Costa Rica","LAC"]
["Cote d'Ivoire","SSA"]
["Croatia","ECA"]
["Cuba","LAC"]
["Cyprus","ECA"]
["Czech Republic","ECA"]
["Denmark","ECA"]
["Djibouti","MENA"]
["Dominican Republic","LAC"]
["Ecuador","LAC",null,null,null,null,null,null,null,null,null,null,null,"Education","%GDP","Year",null,"Health","%GDP","Year",null,"SP","% GDP","Year"]
["Egypt, Arab Rep.","MENA",8.39,2019,"Nat Bud",4.6399999999999997,2019,"Nat Bud",17.21,2019,"Nat Bu","Amended 14.06.20 as per Nabil email",null,"Nat Bud",2.4,2019,null,"Nat Bud",1.19,2019,null,"Nat Bud",4.4000000000000004,2019]
["El Salvador","LAC"]
["Equatorial Guinea","SSA"]
["Estonia","ECA"]
["Ethiopia","SSA"]
["Fiji","EAP"]
["Finland","ECA"]
["France","ECA"]
["Gabon","SSA"]
["Gambia, The","SSA"]
["Georgia","ECA"]
["Germany","ECA"]
["Ghana","SSA"]
["Greece","ECA"]
["Guatemala","LAC"]
["Guinea","SSA"]
["Guinea-Bissau","SSA"]
["Guyana","LAC"]
["Haiti","LAC"]
["Honduras","LAC",null,null,null,null,null,null,null,null,null,null,null,"Education","%GDP","Year",null,"Health","%GDP","Year",null,"SP","% GDP","Year"]
["Hong Kong SAR, China","EAP",20.4283,2019,"Nat Bud",14.5771,2019,"Nat Bud",21,2019,"Nat bud","Data taken from Nat Budg doc sent by Oxfam HK","SP data was sent on 07 Aug according to MM authorization Email 07/08/20",19.577999999999999,{"$f":"N73/100*C73","v":3.9994525739999998},2019,null,19.577999999999999,{"$f":"R73/100*F73","v":2.8539046379999995},2019,null,19.577999999999999,{"$f":"V73/100*I73","v":4.1113799999999996},2019,"SP calculation in excel file called Social Protection Hong Kong in the folder \"Oxfam AffiliatesCRII3 Queries "]
["Hungary","ECA"]
["Iceland","ECA"]
["India","SA"]
["Indonesia","EAP"]
["Ireland","ECA"]
["Israel"]
["Italy","ECA"]
["Jamaica","LAC"]
["Japan","EAP"]
["Jordan","MENA"]
["Kazakhstan","ECA"]
["Kenya","SSA"]
["Kiribati","EAP"]
["Korea, Rep.","EAP"]
["Kosovo","ECA"]
["Kuwait","MENA"]
["Kyrgyz Republic","ECA"]
["Lao PDR","EAP"]
["Latvia","ECA"]
["Lebanon","MENA",8.9,2019,"Nat Bud",3.1,2019,"Nat Bud",22.11,2019,"Nat Bud","Ed, He and SP changed as per 2019 Budget Law. Email sent on 17 July  HEALTH REMAINS WHO AS PER JW\nEd page 23 (24)","http://www.finance.gov.lb/en-us/Finance/BI/ABDP/Annual%20Budget%20Documents%20and%20Process/Citizen%20Budget%202019en.pdf",31.233000000000001,{"$f":"N93/100*C93","v":2.7797369999999999},2019,null,31.233000000000001,{"$f":"R93/100*F93","v":0.96822300000000006},2019,null,31.233000000000001,{"$f":"V93/100*I93","v":6.9056163000000002},2019,31.233000000000001,{"$f":"Y93/100*L93","v":{"$error":"#VALUE!"}},2019]
["Lesotho","SSA"]
["Liberia","SSA"]
["Lithuania","ECA"]
["Luxembourg","ECA"]
["Madagascar","SSA"]
["Malawi","SSA"]
["Malaysia","EAP"]
["Maldives","SA"]
["Mali","SSA"]
["Malta","MENA"]
["Mauritania","SSA"]
["Mauritius","SSA"]
["Mexico","LAC",17.510000000000002,2019,"Nat Bud",13.74,2019,"Nat Bud",24.93,2019,"Nat budget","Working sheet MH dropbox"]
["Moldova","ECA"]
["Mongolia","EAP"]
["Montenegro","ECA",9.84,2014]
["Morocco","MENA",17.39,2017,"Nat Bud",5.19,2017,"Nat Bud",null,null,null,"As per working sheet sent by Morocco Oxfam team. Docs MH dropbox","Amended 23 july 2018 as per Morocco Oxfam team  information"]
["Mozambique","SSA"]
["Myanmar","EAP",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"% GDP","% TOTAL EXP"]
["Namibia","SSA",25.4,2019,"Nat Bud",14.19,2019,"Nat Bud",6.43,2019,"Nat Bud","The GDP for SP is 2.1890935  (WEO 34.045 / 100 *  6.43). Then add 2.4 from ILO table 17 (Pensions) \nTotal GDP is 4.59 (2.189+2.4)","Then do the following to reach % total spending.\nSpending calculations= 4.59/34.045*100 = 13.48 \nTotal Spending = 13.48",{"$f":"Q113+R113","v":4.5890935000000006},{"$f":"4.59/34.045*100","v":13.482155970039653},34.045000000000002,{"$f":"P113/100*I113","v":2.1890935000000002},2.4,{"$f":"Q113+R113","v":4.5890935000000006},{"$f":"4.59/34.045*100","v":13.482155970039653}]
["Nepal","SA"]
["Netherlands","ECA"]
["New Zealand","EAP"]
["Nicaragua","LAC"]
["Niger","SSA"]
["Nigeria","SSA"]
["North Macedonia",null,11,2019,"Nat Bud",14,2019,"Nat Bud",33.6,2019,null,"Source provided by JW. Doc saved MH dropbox","(page 7 График бр.2. Расходи на Буџет на РМ за 2019 година по функционални области, како % од вкупни расходи)"]
["Norway","ECA"]
["Oman","MENA"]
["Pakistan","SA"]
["Panama","LAC","waiting for MM ","for ","help","with sector no financiero",null,null,"not available"]
["Papua New Guinea","EAP"]
["Paraguay","LAC"]
["Peru","LAC"]
["Philippines","EAP",18.39,2019,"Nat Bud",4.74,2019,"Nat Bud",11.84,2019,null,"Amends from Maria Rosario Felizsco Philippines Oxfam Office - Alvic Padilla, who is Christian Aid’s Senior Adviser on Economic Justice, based in the Philippines. Email 11 June 20","GDP\nEd 21.357/100*18.39 = 3.927\nHe 21.357/100 *4.74= 1.012\nSP 21.357/100* 11.84= 2.528",21.356999999999999,18.39,{"$f":"N128/100*O128","v":3.9275522999999999},null,4.74,{"$f":"N128/100*R128","v":1.0123218},null,11.84,{"$f":"N128/100*U128","v":2.5286687999999997}]
["Poland","ECA"]
["Portugal","ECA"]
["Puerto Rico","LAC"]
["Qatar","MENA"]
["Romania","ECA"]
["Russian Federation","ECA",9.9,2016,"National Budget",null,null,null,34.799999999999997,2016,"National Budget","Health remains as WHO because the budget has a budget line \"other health issues\" with a large amount without disaggregation of figures"]
["Rwanda","SSA"]
["Samoa","EAP"]
["Sao Tome and Principe","SSA"]
["Saudi Arabia","MENA"]
["Senegal","SSA"]
["Serbia","ECA"]
["Seychelles","SSA"]
["Sierra Leone","SSA"]
["Singapore","EAP"]
["Slovak Republic","ECA"]
["Slovenia","ECA"]
["Solomon Islands","EAP"]
["South Africa","SSA"]
["South Sudan","SSA"]
["Spain","ECA"]
["Sri Lanka","SA"]
["St. Lucia","LAC"]
["St. Vincent and the Grenadines","LAC"]
["Sudan","SSA"]
["Swaziland","SSA"]
["Sweden","ECA"]
["Switzerland","ECA",null,null,null,"  "]
["Syrian Arab Republic","MENA"]
["Taiwan, China","EAP"]
["Tajikistan","ECA"]
["Tanzania","SSA"]
["Thailand","EAP"]
["Timor-Leste","EAP"]
["Togo","SSA"]
["Tonga","EAP"]
["Trinidad and Tobago","LAC"]
["Tunisia","MENA",17.66,2019,"Nat Bud",5.04,2019,"Nat Bud",null,null,null,"Amended on 11/06/2020 as per Tunisia Oxfam team Email from Jo Walker on the 5/6/20 and 11/06/20"]
["Turkey","ECA"]
["Uganda","SSA"]
["Ukraine","ECA"]
["United Arab Emirates","MENA"]
["United Kingdom","ECA"]
["United States","NA"]
["Uruguay","LAC",16.927333827628992,2018,"Online actual budget",12.458436298510614,2018,"Online actual budget",27.134382157120072,2018,"Online actual budget",null,"2018 Actual Expenses - for the CRII-2A following guidelines received from MM for CRII-2 published in 2018 (email dated 21 August 2018)",null,null,null,"Uruguay",5.6212290174790356,2018,"Online actual budget",4.1371975260094045,2018,"Online actual budget",9.0107856267364337,2018,"Online actual budget"]
["Uzbekistan","ECA",26.51,2019,"Nat Bud",11.28,2019,"Nat Bud",null,null,null,"Working sheet MH dropbox","2019 Budget","Education","Health"]
["Vanuatu","EAP",null,null,null,null,null,null,null,null,null,null,null,{"$f":"107118.4*10000000","v":1071184000000},{"$f":"107118.4*10000000","v":1071184000000}]
["Venezuela, RB","LAC",null,null,null,null,null,null,null,null,null,null,null,{"$f":"28394.3*10000000","v":283943000000}]
["Vietnam","EAP",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N176/N175*100","v":26.507397421918178}]
["Occupied Palestinian Territory","MENA"]
["Yemen, Rep.","MENA"]
["Zambia","SSA"]
["Zimbabwe","SSA"]

{"sheet":"PS_Source_OECD_Edu_Gov_gdp","index":34,"n_rows":64,"n_cols":40,"rows_kept":64,"cut":false,"hidden":false,"merged":[[6,26,6,28],[5,3,5,8],[5,25,7,25],[3,19,3,20],[2,3,2,5],[2,11,2,13],[3,3,3,5],[4,3,4,5],[5,11,5,13],[3,21,3,22],[3,23,3,24]]}
["OECD - % of Total Government Expenditure EDUCATION SECTOR",null,null,"SOURCE:OECD COFOG",null,null,null,null,null,null,"See instructions below on how to find the data for Education, Health and Social Protection",null,null,null,null,null,null,null,null,"OECD - % of GDP EDUCATION SECTOR - COLUMN S",null,null,null,"IMF WEO October 2019"]
["Data extracted on 05 Jun 2020 17:12 UTC (GMT) from OECD.Stat",null,null," http://stats.oecd.org/viewhtml.aspx?datasetcode=SNA_TABLE11&lang=en#",null,null,null,null,null,null,"Data extracted on 05 Jun 2020 17:12 UTC (GMT) from OECD.Stat"]
[null,"Function",null,"Total function",null,null,null,null,null,null,"Function","090: Education"]
[null,"Sector",null,"General government",null,null,null,null,null,null,"Sector","GS13: General government",null,null,null,null,null,null,null,"Education GDP",null,"Education GDP",null,"Education GDP"]
[null,"Measure",null,"Current prices",null,null,null,null,null,null,"Measure","Current prices",null,null,null,null,null,null,null,1,2,3,4,5,6,7]
[null,"Transaction",null,"Total Government expenditure",null,null,null,null,null,null,"Transaction","TLYCG: Total government expenditure",null,null,null,null,null,null,null,"Country","Education as %","Total GDP (IMF WEO October 2019)",null,null,null,"Year to take"]
[null,"Education","Year",2015,2016,2017,2018,"Last data","Amount",null,"Year",2015,2016,2017,2018,"Last data","Amount",null,null,null,"GDP",null,null,null,null,null,"GDP check"]
["Country",null,null,"","","",null,"","",null,"Country","","","",null,"","",null,null,null,null,2015,2016,2017,2018,null,null,"Check","Column C","Column H","Check","Column  P","Check","Column Z","Check","%Gov","Column B","Check",null,"% GDP"]
["Australia",{"$f":"Q9/I9*100","v":14.62299480371629},{"$f":"LOOKUP(2,1/L9:O9,$L$7:$O$7)","v":2015},600814,"..","..","..",{"$f":"LOOKUP(2,1/D9:G9,$D$7:$G$7)","v":2015},{"$f":"1/LOOKUP(2,1/D9:G9)","v":600814},null,"Australia",87857,"..","..","..",{"$f":"LOOKUP(2,1/L9:O9,$L$7:$O$7)","v":2015},{"$f":"1/LOOKUP(2,1/L9:O9)","v":87857},null,null,"Australia",{"$f":"INDEX($Q$9:$Q$44,MATCH(T9,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T9,$K$9:$K$44,0),MATCH(P9,$V$8:$Y$8))*100","v":5.3534878987908847},{"$f":"VLOOKUP(A9,WEO_GDP,13,FALSE)*1000","v":1641117},{"$f":"VLOOKUP(A9,WEO_GDP,14,FALSE)*1000","v":1704220},{"$f":"VLOOKUP(A9,WEO_GDP,15,FALSE)*1000","v":1808582},{"$f":"VLOOKUP(A9,WEO_GDP,16,FALSE)*1000","v":1898100},{"$f":"LOOKUP(2,1/L9:O9,$L$7:$O$7)","v":2015},{"$f":"Q9/V9*100","v":5.3534878987908847},{"$f":"U9-AA9","v":0},{"$f":"C9","v":2015},{"$f":"H9","v":2015},{"$f":"AC9-AD9","v":0},{"$f":"P9","v":2015},{"$f":"AC9-AF9","v":0},{"$f":"Z9","v":2015},{"$f":"AC9-AH9","v":0},{"$f":"Q9/I9*100","v":14.62299480371629},{"$f":"B9","v":14.62299480371629},{"$f":"AJ9-AK9","v":0}]
["Austria",{"$f":"Q10/I10*100","v":9.8201734635420141},{"$f":"LOOKUP(2,1/L10:O10,$L$7:$O$7)","v":2018},176029.87,179059.03,181843.57,187647.5,{"$f":"LOOKUP(2,1/D10:G10,$D$7:$G$7)","v":2018},{"$f":"1/LOOKUP(2,1/D10:G10)","v":187647.5},null,"Austria",16959.09,17494.09,17911.310000000001,18427.310000000001,{"$f":"LOOKUP(2,1/L10:O10,$L$7:$O$7)","v":2018},{"$f":"1/LOOKUP(2,1/L10:O10)","v":18427.310000000001},null,null,"Austria",{"$f":"INDEX($Q$9:$Q$44,MATCH(T10,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T10,$K$9:$K$44,0),MATCH(P10,$V$8:$Y$8))*100","v":4.7727522313219062},344259,356238,369899,386094,{"$f":"LOOKUP(2,1/L10:O10,$L$7:$O$7)","v":2018},{"$f":"Q10/Y10*100","v":4.7727522313219062},{"$f":"U10-AA10","v":0},{"$f":"C10","v":2018},{"$f":"H10","v":2018},{"$f":"AC10-AD10","v":0},{"$f":"P10","v":2018},{"$f":"AC10-AF10","v":0},{"$f":"Z10","v":2018},{"$f":"AC10-AH10","v":0},{"$f":"Q10/I10*100","v":9.8201734635420141},{"$f":"B10","v":9.8201734635420141},{"$f":"AJ10-AK10","v":0}]
["Belgium",11.942335803888986,2018,223850.1,228541.8,231707.1,239635.7,{"$f":"LOOKUP(2,1/D11:G11,$D$7:$G$7)","v":2018},{"$f":"1/LOOKUP(2,1/D11:G11)","v":239635.7},null,"Belgium",26282.1,26674.5,27852.799999999999,28618.1,{"$f":"LOOKUP(2,1/L11:O11,$L$7:$O$7)","v":2018},{"$f":"1/LOOKUP(2,1/L11:O11)","v":28618.1},null,null,"Belgium",{"$f":"INDEX($Q$9:$Q$44,MATCH(T11,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T11,$K$9:$K$44,0),MATCH(P11,$V$8:$Y$8))*100","v":6.3524348177382759},411103,424605,439175,450506,2018,{"$f":"Q11/Y11*100","v":6.3524348177382759},0,2018,2018,0,2018,0,2018,0,11.942335803888986,11.942335803888986,0]
["Chile",20.585372098559656,2016,40193569.3178,43005180.906199999,"..","..",{"$f":"LOOKUP(2,1/D12:G12,$D$7:$G$7)","v":2016},{"$f":"1/LOOKUP(2,1/D12:G12)","v":43005180.906199999},null,"Chile",7522990.2929999996,8852776.5111999996,"..","..",2016,8852776.5111999996,null,null,"Chile",{"$f":"INDEX($Q$9:$Q$44,MATCH(T12,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T12,$K$9:$K$44,0),MATCH(P12,$V$8:$Y$8))*100","v":5.2254657150534438},159534872,169416029,180169186,191199032,2016,{"$f":"Q12/W12*100","v":5.2254657150534438},0,2016,2016,0,2016,0,2016,0,20.585372098559656,20.585372098559656,0]
["Colombia",15.158099361843011,2017,257784584.69600001,268243500.91100001,293608320.98799998,"..",2017,293608320.98799998,null,"Colombia",36596421.009000003,39334727.219999999,44505441.030000001,"..",2017,44505441.030000001,null,null,"Colombia",{"$f":"INDEX($Q$9:$Q$44,MATCH(T13,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T13,$K$9:$K$44,0),MATCH(P13,$V$8:$Y$8))*100","v":4.8365280614739934},804692000,863782000,920194000,978478000,2017,{"$f":"Q13/X13*100","v":4.8365280614739934},0,2017,2017,0,2017,0,2017,0,15.158099361843011,15.158099361843011,0]
["Costa Rica",23.494784024748125,2017,9619594.3800000008,10379029.9,11216908.09,"..",2017,11216908.09,null,"Costa Rica",2240232.83,2420647.08,2635388.33,"..",2017,2635388.33,null,null,"Costa Rica",7.9824406427913468,29281373,31136211,33014819.000000004,34693418,2017,{"$f":"Q14/X14*100","v":7.9824406427913468},0,2017,2017,0,2017,0,2017,0,23.494784024748125,23.494784024748125,0]
["Czech Republic",11.412713558768854,2018,1916390,1882525,1965604,2166207,2018,2166207,null,"Czech Republic",226322,212901,207756,247223,2018,247223,null,null,"Czech Republic",4.6394286977517005,4595783,4767990,5047267,5328738,2018,{"$f":"Q15/Y15*100","v":4.6394286977517005},0,2018,2018,0,2018,0,2018,0,11.412713558768854,11.412713558768854,0]
["Denmark",12.607874841585456,2018,1110377,1106149,1114524,1144150,2018,1144150,null,"Denmark",142757,143231,140968,144253,2018,144253,null,null,"Denmark",6.4887781333849119,2036356,2100216,2178067,2223115,2018,{"$f":"Q16/Y16*100","v":6.4887781333849119},0,2018,2018,0,2018,0,2018,0,12.607874841585456,12.607874841585456,0]
["Estonia",15.829641780196249,2018,8154.5,8564.6,9352.2999999999993,10180.9,2018,10180.9,null,"Estonia",1221.5999999999999,1230.5,1354.8,1611.6,2018,1611.6,null,null,"Estonia",6.1898909202642489,20782,21694,23776,26036,2018,6.1898909202642489,0,2018,2018,0,2018,0,2018,0,15.829641780196249,15.829641780196249,0]
["Finland",10.35209003215434,2018,119415,120975,121319,124400,2018,124400.00000000001,null,"Finland",13095,13158,12786,12878,2018,12878,null,null,"Finland",5.5485661105749342,209952,216073,223918,232096,2018,5.5485661105749342,0,2018,2018,0,2018,0,2018,0,10.35209003215434,10.35209003215434,0]
["France",9.1421061372821288,2018,1248656,1264297,1293953,1318613,2018,1318613,null,"France",119736,120823,123860,120549,2018,120549,null,null,"France",5.123008469714291,2198432,2234129,2295063,2353090,2018,5.123008469714291,0,2018,2018,0,2018,0,2018,0,9.1421061372821288,9.1421061372821288,0]
["Germany",9.3521091608308105,2018,1334518,1388482,1441419,1490498,2018,1490498,null,"Germany",126900,129949,133370,139393,2018,139393,null,null,"Germany",4.1679897858191524,3030070,3134100,3244990,3344370,2018,4.1679897858191524,0,2018,2018,0,2018,0,2018,0,9.3521091608308105,9.3521091608308105,0]
["Greece",8.2816498743457903,2018,94936,86480,85492,86746,2018,86746,null,"Greece",7313,6950,6869,7184,2018,7184,null,null,"Greece",3.8892558225148068,177258,176488,180218,184714,2018,3.8892558225148068,0,2018,2018,0,2018,0,2018,0,8.2816498743457903,8.2816498743457903,0]
["Hungary",10.965314141875902,2018,17615372,16943718,18241988,19917195,2018,19917195,null,"Hungary",1817770,1795961,1987182,2183983,2018,2183983,null,null,"Hungary",5.1909635839185935,34378594,35474186,38355115,42072786,2018,5.1909635839185935,0,2018,2018,0,2018,0,2018,0,10.965314141875902,10.965314141875902,0]
["Iceland",17.398271566277181,2018,949125.87,1108712.93,1124113.46,1180565.95,2018,1180565.95,null,"Iceland",164905.35,175652.13,191907.96,205398.07,2018,205398.07000000004,null,null,"Iceland",7.3043280506258013,2293948,2490936,2612973,2812005,2018,7.3043280506258013,0,2018,2018,0,2018,0,2018,0,17.398271566277181,17.398271566277181,0]
["Ireland",12.597144749418939,2018,76007.05,75361.78,77481.350000000006,82168.62,2018,82168.62,null,"Ireland",8664.5300000000007,9060.49,9563.4599999999991,10350.9,2018,10350.9,null,null,"Ireland",3.1951265437910354,262504,271380,296835,323959,2018,3.1951265437910354,0,2018,2018,0,2018,0,2018,0,12.597144749418939,12.597144749418939,0]
["Israel",17.701409872931496,2018,448035.98,473657.43,502503.65,536512.18000000005,2018,536512.18000000005,null,"Israel",79843.289999999994,84644.15,90865.03,94970.22,2018,94970.22,null,null,"Israel",7.1373016147384147,1165324,1224951,1271555,1330618,2018,7.1373016147384147,0,2018,2018,0,2018,0,2018,0,17.701409872931496,17.701409872931496,0]
["Italy",8.1710433628753485,2018,832927,830749,845054,854602,2018,854602,null,"Italy",66178.899999999994,66108.3,67602.100000000006,69829.899999999994,2018,69829.899999999994,null,null,"Italy",3.9537518514659982,{"$f":"VLOOKUP(A26,WEO_GDP,13,FALSE)*1000","v":1652086},{"$f":"VLOOKUP(A26,WEO_GDP,14,FALSE)*1000","v":1689823},{"$f":"VLOOKUP(A26,WEO_GDP,15,FALSE)*1000","v":1727383},{"$f":"VLOOKUP(A26,WEO_GDP,16,FALSE)*1000","v":1766168},2018,3.9537518514659982,0,2018,2018,0,2018,0,2018,0,8.1710433628753485,8.1710433628753485,0]
["Japan",8.4696607067436283,2018,209556100,210082900,211718700,213090000,2018,213090000.00000003,null,"Japan",18268700,18006200,17982300,18048000,2018,18048000,null,null,"Japan",3.2874415742779557,531319800.00000006,535986500,545103700,548998350,2018,3.2874415742779557,0,2018,2018,0,2018,0,2018,0,8.4696607067436283,8.4696607067436283,0]
["Korea, Rep.",15.129139077547855,2017,504008351.44999999,527386400,555679031.96000004,"..",2017,555679031.96000004,null,"Korea, Rep.",78019519.329999998,79727600,84069453.569999993,"..",2017,84069453.569999993,null,null,"Korea, Rep.",4.5796993290999204,1658020500,1740779500,1835698100,1893497100,2017,4.5796993290999204,0,2017,2017,0,2017,0,2017,0,15.129139077547855,15.129139077547855,0]
["Latvia",15.107738057587989,2018,9269.7199999999993,9240.15,10185.99,11224.91,2018,11224.91,null,"Latvia",1442.5,1369.05,1554.05,1695.83,2018,1695.83,null,null,"Latvia",5.7439032651402249,24320,25038,27033,29524,2018,5.7439032651402249,0,2018,2018,0,2018,0,2018,0,15.107738057587989,15.107738057587989,0]
["Lithuania",13.412469261563814,2018,13104.59,13294.51,14020.41,15412.3,2018,15412.300000000001,null,"Lithuania",1894.27,1858.4,1920.56,2067.17,2018,2067.17,null,null,"Lithuania",4.5821031165491872,37434,38849,42191,45114,2018,4.5821031165491872,0,2018,2018,0,2018,0,2018,0,13.412469261563814,13.412469261563814,0]
["Luxembourg",10.867360687293647,2017,21643.17,22353.73,23824.46,"..",2017,23824.46,null,"Luxembourg",2398.59,2425.59,2589.09,"..",2017,2589.09,null,null,"Luxembourg",4.6819833993381437,51579,53303,55299,58869,2017,4.6819833993381437,0,2017,2017,0,2017,0,2017,0,10.867360687293647,10.867360687293647,0]
["Netherlands",12.113522414471097,2018,307826,308695,313333,325504,2018,325504,null,"Netherlands",36121,36940,37808,39430,2018,39430,null,null,"Netherlands",5.0940585681083252,690008,708337,738146,774039,2018,{"$f":"Q32/Y32*100","v":5.0940585681083252},0,2018,2018,0,2018,0,2018,0,12.113522414471097,12.113522414471097,0]
["Norway",11.048551150881144,2018,1533194,1596594,1663422,1735757,2018,1735757,null,"Norway",170103,175109,183862,191776,2018,191776,null,null,"Norway",5.4314246387565639,3111169,3098149,3295381,3530860,2018,{"$f":"Q33/Y33*100","v":5.4314246387565639},0,2018,2018,0,2018,0,2018,0,11.048551150881144,11.048551150881144,0]
["Peru",14.291536476022278,2015,176664,"..","..","..",2015,176664,null,"Peru",25248,"..","..","..",2015,25248,null,null,"Peru",4.1433363309942823,609364,656168,698437,740806,2015,{"$f":"Q34/V34*100","v":4.1433363309942823},0,2015,2015,0,2015,0,2015,0,14.291536476022278,14.291536476022278,0]
["Poland",12.034187519937516,2018,750291.8,765085,820043.19,880877,2018,880877,null,"Poland",94994.76,92471.76,97472.6,106006.39,2018,106006.39,null,null,"Poland",5.0105304602981935,1800228,1861112,1989314,2115672,2018,{"$f":"Q35/Y35*100","v":5.0105304602981935},0,2018,2018,0,2018,0,2018,0,12.034187519937516,12.034187519937516,0]
["Portugal",10.457130184677006,2018,86707.39,83534.75,88904.23,88606.05,2018,88606.05,null,"Portugal",9134.39,8897.25,8980.5499999999993,9265.65,2018,9265.65,null,null,"Portugal",4.544301997096559,179713,186490,195947,203896,2018,4.544301997096559,0,2018,2018,0,2018,0,2018,0,10.457130184677006,10.457130184677006,0]
["Russian Federation",null,null,null,null,null,null,null,null,null,"Russian Federation",null,null,null,null,null,null,null,null,"Russian Federation",null,83094300,86014200,92101300,103875800,null,{"$f":"Q37/X37*100","v":0},0,null,null,null,null,null,null,null,null,0]
["Slovak Republic",9.4803872942043128,2018,36492.370000000003,34593.21,35083,37520.83,2018,37520.83,null,"Slovak Republic",3331.85,3129.62,3294.67,3557.12,2018,3557.12,null,null,"Slovak Republic",3.9435045786124472,79138,81226,84851,90202,2018,{"$f":"Q38/Y38*100","v":3.9435045786124472},0,2018,2018,0,2018,0,2018,0,9.4803872942043128,9.4803872942043128,0]
["Slovenia",12.404001834893695,2018,18925.3,18662.240000000002,18940.900000000001,19924.86,2018,19924.86,null,"Slovenia",2168.66,2243.42,2333.73,2471.48,2018,2471.48,null,null,"Slovenia",5.4015517429789091,38853,40367,42987,45755,2018,5.4015517429789091,0,2018,2018,0,2018,0,2018,0,12.404001834893695,12.404001834893695,0]
["Spain",9.5902866816750638,2018,472962,472733,478669,501497,2018,501497.00000000006,null,"Spain",44390,45333,46449,48095,2018,48095,null,null,"Spain",3.9805569717475215,1081165,1118743,1166319,1208248,2018,3.9805569717475215,0,2018,2018,0,2018,0,2018,0,9.5902866816750638,9.5902866816750638,0]
["Sweden",13.82672891225706,2018,2102206,2195854,2276875,2407453,2018,2407453,null,"Sweden",273575,292661,309931,332872,2018,332872,null,null,"Sweden",6.8865243649134653,4248213,4415799,4621046,4833672,2018,6.8865243649134653,0,2018,2018,0,2018,0,2018,0,13.82672891225706,13.82672891225706,0]
["Switzerland",16.513865284587371,2018,222506.07,226257.24,228664.62,232590.61,2018,232590.61,null,"Switzerland",36494.129999999997,37142.800000000003,37735.22,38409.699999999997,2018,38409.699999999997,null,null,"Switzerland",5.5670992157300407,654158,661593,669619,689941,2018,5.5670992157300407,0,2018,2018,0,2018,0,2018,0,16.513865284587371,16.513865284587371,0]
["United Kingdom",11.823797057664224,2018,811023,828483,851847,877806,2018,877805.99999999988,null,"United Kingdom",100188,101636,102343,103790,2018,103790.00000000001,null,null,"United Kingdom",4.9010163741828494,1895839,1969524,2049629,2117724,2018,4.9010163741828494,0,2018,2018,0,2018,0,2018,0,11.823797057664224,11.823797057664224,0]
["United States",15.716597301727703,2018,6913741.5449000001,7160165.3479000004,7414715.0725999996,7785514.2631000001,2018,7785514.2631000001,null,"United States",1110853.236,1146042.0004,1181700.3203,1223617.9246,2018,1223617.9246,null,null,"United States",5.9455931030964155,18224775,18715050,19519400,20580250,2018,5.9455931030964155,0,2018,2018,0,2018,0,2018,0,15.716597301727703,15.716597301727703,0]
[null,"Checked 05.02","Checked 05.02"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"WEO GDP extract in October 2019 by DW"]
["Data extracted on 05 Jun 2020 17:12 UTC (GMT) from OECD.Stat",null,null,null,null,null,null,null,null,null,"Data extracted on 05 Jun 2020 17:12 UTC (GMT) from OECD.Stat"]
["Legend:",null,null,null,null,null,null,null,null,null,"Legend:"]
["B: Break","Break",null,null,null,null,null,null,null,null,"B:"]
["P: Provisional value","Provisional value",null,null,null,null,null,null,null,null,"P:"]
["E: Estimated value","Estimated value",null,null,null,null,null,null,null,null,"E:"]
[]
[]
["SOURCE:OECD COFOG",null," http://stats.oecd.org/viewhtml.aspx?datasetcode=SNA_TABLE11&lang=en#"]
["Format is required"]
["1)Go to Customise (top left menu) Choose Selection, choose Countries and choose ALL"]
["2)Go t Customise again and Choose Layout"]
["3)Move COUNTRY  tab to the box below under transaction by dragging it with the mouse"]
["4)Move transaction to the top box with Function, Sector and Measrue by dragging it with the mouse"]
["5)Press View data"]
["6) Click on the YEARS tab and a customise box will open"]
["6a) If you are happy with the OECD selection for the years, press VIEW DATA"]
["6B) If you prefer to see the years the CRI is using, click SELECT DATE RANGE, choose 2015 to 2018"]
["7) Press VIEW DATA"]

{"sheet":"PS_Source_OECD_He_Gov_gdp","index":35,"n_rows":64,"n_cols":32,"rows_kept":64,"cut":false,"hidden":false,"merged":[[2,3,2,7],[3,3,3,5],[4,3,4,5],[5,3,5,5],[3,11,3,12],[4,11,4,12],[5,11,5,12],[44,26,44,31],[6,20,7,20],[5,19,7,19],[5,21,5,24],[5,25,7,25]]}
["OECD - % of Total Government Expenditure HEALTH SECTOR",null,null,null,null," http://stats.oecd.org/viewhtml.aspx?datasetcode=SNA_TABLE11&lang=en#",null,null,null,null,null,"Data extracted on 05 Jun 2020 17:12 UTC (GMT) from OECD.Stat",null,null,null,null,null,null,null,"OECD - % of GDP HEALTH SECTOR - COLUMN S",null,null,null,null,"IMF WEO October 2019"]
[null,null,null,"See instructions below on how to find the data below for Ed, He and SP",null,null,null,null,null,null,"Dataset: 11. Government expenditure by function (COFOG)"]
["Function",null,null,"Total function",null,null,null,null,null,null,"Function","Health"]
["Sector",null,null,"General government",null,null,null,null,null,null,"Sector","General government"]
["Measure",null,null,"Current prices",null,null,null,null,null,null,"Measure","Current prices",null,null,null,null,null,null,null,1,2,3,4,5,6,7]
["Transaction",null,null,"Total government expenditure",null,null,null,null,null,null,"Transaction","Total government expenditure",null,null,null,null,null,null,null,"Country","Health as %","Total GDP (IMF WEO October 2019)",null,null,null,"Year to take",null,null,null,null,null,"Check"]
[null,"Health ","Year",2015,2016,2017,2018,"Last data","Amount",null,"Year",2015,2016,2017,2018,"Last data","Amount",null,null,null,"GDP",null,null,null,null,null,null,null,null,null,null,"Gov Year"]
["Country",null,null,"","","",null,"","",null,"Country","","","",null,"","",null,null,null,null,2015,2016,2017,2018,null,null,"Check","Column C","Column H","Check","GDP year"]
["Australia",{"$f":"INDEX($Q$9:$Q$46,MATCH(A9,$K$9:$K$46,0))/INDEX($D$9:$G$46,MATCH(A9,$K$9:$K$46,0),MATCH(P9,$D$7:$G$7))*100","v":19.375214292609694},{"$f":"LOOKUP(2,1/L9:O9,$L$7:$O$7)","v":2015},600814,"..","..","..",{"$f":"LOOKUP(2,1/D9:G9,$D$7:$G$7)","v":2015},{"$f":"1/LOOKUP(2,1/D9:G9)","v":600814},null,"Australia",116409,"..","..","..",{"$f":"LOOKUP(2,1/L9:O9,$L$7:$O$7)","v":2015},{"$f":"1/LOOKUP(2,1/L9:O9)","v":116409},null,null,"Australia",{"$f":"INDEX($Q$9:$Q$44,MATCH(T9,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T9,$K$9:$K$44,0),MATCH(P9,$V$8:$Y$8))*100","v":7.093278541383703},{"$f":"VLOOKUP(A9,WEO_GDP,13,FALSE)*1000","v":1641117},{"$f":"VLOOKUP(A9,WEO_GDP,14,FALSE)*1000","v":1704220},{"$f":"VLOOKUP(A9,WEO_GDP,15,FALSE)*1000","v":1808582},{"$f":"VLOOKUP(A9,WEO_GDP,16,FALSE)*1000","v":1898100},{"$f":"LOOKUP(2,1/L9:O9,$L$7:$O$7)","v":2015},{"$f":"Q9/V9*100","v":7.093278541383703},{"$f":"U9-AA9","v":0},{"$f":"C9","v":2015},{"$f":"H9","v":2015},{"$f":"AC9-AD9","v":0},{"$f":"AC9-Z9","v":0}]
["Austria",{"$f":"INDEX($Q$9:$Q$46,MATCH(A10,$K$9:$K$46,0))/INDEX($D$9:$G$46,MATCH(A10,$K$9:$K$46,0),MATCH(P10,$D$7:$G$7))*100","v":16.786794388414446},{"$f":"LOOKUP(2,1/L10:O10,$L$7:$O$7)","v":2018},176029.87,179059.03,181843.57,187647.5,{"$f":"LOOKUP(2,1/D10:G10,$D$7:$G$7)","v":2018},{"$f":"1/LOOKUP(2,1/D10:G10)","v":187647.5},null,"Austria",28235.13,29226,30245.759999999998,31500,{"$f":"LOOKUP(2,1/L10:O10,$L$7:$O$7)","v":2018},{"$f":"1/LOOKUP(2,1/L10:O10)","v":31500},null,null,"Austria",{"$f":"INDEX($Q$9:$Q$44,MATCH(T10,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T10,$K$9:$K$44,0),MATCH(P10,$V$8:$Y$8))*100","v":8.158634943821971},344259,356238,369899,386094,{"$f":"LOOKUP(2,1/L10:O10,$L$7:$O$7)","v":2018},{"$f":"Q10/Y10*100","v":8.158634943821971},{"$f":"U10-AA10","v":0},{"$f":"C10","v":2018},{"$f":"H10","v":2018},{"$f":"AC10-AD10","v":0},{"$f":"AC10-Z10","v":0}]
["Belgium",14.566443981426808,2018,223850.1,228541.8,231707.1,239635.7,{"$f":"LOOKUP(2,1/D11:G11,$D$7:$G$7)","v":2018},{"$f":"1/LOOKUP(2,1/D11:G11)","v":239635.7},null,"Belgium",32639.4,32766.6,33817.4,34906.400000000001,2018,34906.400000000001,null,null,"Belgium",{"$f":"INDEX($Q$9:$Q$44,MATCH(T11,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T11,$K$9:$K$44,0),MATCH(P11,$V$8:$Y$8))*100","v":7.7482652839251864},411103,424605,439175,450506,2018,{"$f":"Q11/Y11*100","v":7.7482652839251864},0,2018,2018,0,0]
["Chile",15.687533728819576,2016,40193569.3178,43005180.906199999,"..","..",{"$f":"LOOKUP(2,1/D12:G12,$D$7:$G$7)","v":2016},{"$f":"1/LOOKUP(2,1/D12:G12)","v":43005180.906199999},null,"Chile",6250137.2044000002,6746452.2598000001,"..","..",2016,6746452.2598000001,null,null,"Chile",{"$f":"INDEX($Q$9:$Q$44,MATCH(T12,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T12,$K$9:$K$44,0),MATCH(P12,$V$8:$Y$8))*100","v":3.9821806116114313},159534872,169416029,180169186,191199032,2016,{"$f":"Q12/W12*100","v":3.9821806116114313},0,2016,2016,0,0]
["Colombia",15.293163610589627,2017,257784584.69600001,268243500.91100001,293608320.98799998,"..",2017,293608320.98799998,null,"Colombia",38674339.082000002,41175552.993000001,44902000.902999997,"..",2017,44902000.902999997,null,null,"Colombia",{"$f":"INDEX($Q$9:$Q$44,MATCH(T13,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T13,$K$9:$K$44,0),MATCH(P13,$V$8:$Y$8))*100","v":4.8796233080198297},804692000,863782000,920194000,978478000,2017,{"$f":"Q13/X13*100","v":4.8796233080198297},0,2017,2017,0,0]
["Costa Rica",18.079612971135617,2017,9619594.3800000008,10379029.9,11216908.09,"..",2017,11216908.09,null,"Costa Rica",1856277.04,1943963.23,2027973.57,"..",2017,2027973.5700000003,null,null,"Costa Rica",6.1426160476602947,29281373,31136211,33014819.000000004,34693418,2017,{"$f":"Q14/X14*100","v":6.1426160476602947},0,2017,2017,0,0]
["Czech Republic",18.696135687863624,2018,1916390,1882525,1965604,2166207,2018,2166207,null,"Czech Republic",347736,355103,377515,404997,2018,404997,null,null,"Czech Republic",7.6002423087793023,4595783,4767990,5047267,5328738,2018,{"$f":"Q15/Y15*100","v":7.6002423087793023},0,2018,2018,0,0]
["Denmark",16.334484114845083,2018,1110377,1106149,1114524,1144150,2018,1144150,null,"Denmark",173582,177820,182526,186891,2018,186891,null,null,"Denmark",8.4067176012037166,2036356,2100216,2178067,2223115,2018,8.4067176012037166,0,2018,2018,0,0]
["Estonia",13.139309884194915,2018,8154.5,8564.6,9352.2999999999993,10180.9,2018,10180.9,null,"Estonia",1122.0999999999999,1118.9000000000001,1187.2,1337.7,2018,1337.7,null,null,"Estonia",5.1378860039944696,20782,21694,23776,26036,2018,5.1378860039944696,0,2018,2018,0,0]
["Finland",13.191318327974278,2018,119415,120975,121319,124400,2018,124400.00000000001,null,"Finland",15406,15614,15868,16410,2018,16410,null,null,"Finland",7.070350199917276,209952,216073,223918,232096,2018,7.070350199917276,0,2018,2018,0,0]
["France",14.500008721285168,2018,1248656,1264297,1293953,1318613,2018,1318613,null,"France",177606,181527,186763,191199,2018,191199,null,null,"France",8.1254435656944697,2198432,2234129,2295063,2353090,2018,8.1254435656944697,0,2018,2018,0,0]
["Germany",16.247321365073955,2018,1334518,1388482,1441419,1490498,2018,1490498,null,"Germany",217750,225752,233367,242166,2018,242166,null,null,"Germany",7.2410050323379282,3030070,3134100,3244990,3344370,2018,7.2410050323379282,0,2018,2018,0,0]
["Greece",10.628732160560718,2018,94936,86480,85492,86746,2018,86746,null,"Greece",8363,8775,9381,9220,2018,9220,null,null,"Greece",4.9915003735504619,177258,176488,180218,184714,2018,4.9915003735504619,0,2018,2018,0,0]
["Hungary",10.125230987596396,2018,17615372,16943718,18241988,19917195,2018,19917195,null,"Hungary",1799222,1707419,1839696,2016662,2018,2016662,null,null,"Hungary",4.7932694545115222,34378594,35474186,38355115,42072786,2018,4.7932694545115222,0,2018,2018,0,0]
["Iceland",18.525707098362446,2018,949125.87,1108712.93,1124113.46,1180565.95,2018,1180565.95,null,"Iceland",164907.75,183357.07,198594.35,218708.19,2018,218708.19000000003,null,null,"Iceland",7.7776600681719987,2293948,2490936,2612973,2812005,2018,7.7776600681719987,0,2018,2018,0,0]
["Ireland",19.79496552333482,2018,76007.05,75361.78,77481.350000000006,82168.62,2018,82168.62,null,"Ireland",13799.65,14264.38,15074.4,16265.25,2018,16265.249999999998,null,null,"Ireland",5.0207742337764962,262504,271380,296835,323959,2018,5.0207742337764962,0,2018,2018,0,0]
["Israel",13.423840629303138,2018,448035.98,473657.43,502503.65,536512.18000000005,2018,536512.18000000005,null,"Israel",59347.08,63855.43,67826.100000000006,72020.539999999994,2018,72020.539999999994,null,null,"Israel",5.4125631849261016,1165324,1224951,1271555,1330618,2018,5.4125631849261016,0,2018,2018,0,0]
["Italy",14.148223383516537,2018,832927,830749,845054,854602,2018,854602,null,"Italy",116401,117332,118745,120911,2018,120911,null,null,"Italy",6.8459512345371456,1652086,1689823,1727383,1766168,2018,6.8459512345371456,0,2018,2018,0,0]
["Japan",19.679196583603172,2018,209556100,210082900,211718700,213090000,2018,213090000.00000003,null,"Japan",40769600,40723000,41503700,41934400,2018,41934400,null,null,"Japan",7.6383471826463598,531319800.00000006,535986500,545103700,548998350,2018,7.6383471826463598,0,2018,2018,0,0]
["Korea, Rep.",14.25811793555371,2017,504008351.44999999,527386400,555679031.96000004,"..",2017,555679031.96000004,null,"Korea, Rep.",66328803.259999998,73547700,79229371.719999999,"..",2017,79229371.719999999,null,null,"Korea, Rep.",4.3160349580358552,1658020500,1740779500,1835698100,1893497100,2017,{"$f":"Q28/X28*100","v":4.3160349580358552},0,2017,2017,0,0]
["Latvia",10.436965641595345,2018,9269.7199999999993,9240.15,10185.99,11224.91,2018,11224.91,null,"Latvia",915.08,935.37,947.08,1171.54,2018,1171.54,null,null,"Latvia",3.9680937542338439,24320,25038,27033,29524,2018,3.9680937542338439,0,2018,2018,0,0]
["Lithuania",17.369892877766461,2018,13104.59,13294.51,14020.41,15412.3,2018,15412.300000000001,null,"Lithuania",2161.2399999999998,2256.7399999999998,2385.4,2677.1,2018,2677.1,null,null,"Lithuania",5.9340781132242757,37434,38849,42191,45114,2018,5.9340781132242757,0,2018,2018,0,0]
["Luxembourg",11.329364862834247,2017,21643.17,22353.73,23824.46,"..",2017,23824.46,null,"Luxembourg",2462.4,2525.9,2699.16,"..",2017,2699.16,null,null,"Luxembourg",4.8810285900287527,51579,53303,55299,58869,2017,4.8810285900287527,0,2017,2017,0,0]
["Netherlands",17.969057215886746,2018,307826,308695,313333,325504,2018,325504,null,"Netherlands",54926,53393,56003,58490,2018,58489.999999999993,null,null,"Netherlands",7.5564667930168889,690008,708337,738146,774039,2018,{"$f":"Q32/Y32*100","v":7.5564667930168889},0,2018,2018,0,0]
["Norway",16.751884048285561,2018,1533194,1596594,1663422,1735757,2018,1735757,null,"Norway",256230,266810,277151,290772,2018,290772,null,null,"Norway",8.2351608390023969,3111169,3098149,3295381,3530860,2018,{"$f":"Q33/Y33*100","v":8.2351608390023969},0,2018,2018,0,0]
["Peru",10.009962414527012,2015,176664,"..","..","..",2015,176664,null,"Peru",17684,"..","..","..",2015,17684,null,null,"Peru",2.9020421291707419,609364,656168,698437,740806,2015,{"$f":"Q34/V34*100","v":2.9020421291707419},0,2015,2015,0,0]
["Poland",11.566283374409821,2018,750291.8,765085,820043.19,880877,2018,880877,null,"Poland",84080.86,86196.07,93164.96,101884.73,2018,101884.73,null,null,"Poland",4.8157148177978435,1800228,1861112,1989314,2115672,2018,{"$f":"Q35/Y35*100","v":4.8157148177978435},0,2018,2018,0,0]
["Portugal",14.50449489622887,2018,86707.39,83534.75,88904.23,88606.05,2018,88606.05,null,"Portugal",11066.86,11387.79,12240.64,12851.86,2018,12851.86,null,null,"Portugal",6.3031447404559193,179713,186490,195947,203896,2018,6.3031447404559193,0,2018,2018,0,0]
["Russian Federation",null,null,null,null,null,null,null,null,null,"Russian Federation",null,null,null,null,null,null,null,null,"Russian Federation",null,83094300,86014200,92101300,103875800,null,0,0,null,0,0,0]
["Slovak Republic",17.486047083713231,2018,36492.370000000003,34593.21,35083,37520.83,2018,37520.83,null,"Slovak Republic",5698.5,6057.99,6099.95,6560.91,2018,6560.91,null,null,"Slovak Republic",7.2735748653023204,79138,81226,84851,90202,2018,{"$f":"Q38/Y38*100","v":7.2735748653023204},0,2018,2018,0,0]
["Slovenia",15.063995430833641,2018,18925.3,18662.240000000002,18940.900000000001,19924.86,2018,19924.86,null,"Slovenia",2591.88,2709.62,2853.32,3001.48,2018,3001.48,null,null,"Slovenia",6.5598950934324121,38853,40367,42987,45755,2018,6.5598950934324121,0,2018,2018,0,0]
["Spain",14.360404947586925,2018,472962,472733,478669,501497,2018,501497.00000000006,null,"Spain",66489,67724,69312,72017,2018,72017,null,null,"Spain",5.9604485171918347,1081165,1118743,1166319,1208248,2018,5.9604485171918347,0,2018,2018,0,0]
["Sweden",14.041021776956807,2018,2102206,2195854,2276875,2407453,2018,2407453,null,"Sweden",290955,303129,316699,338031,2018,338031,null,null,"Sweden",6.9932548174555489,4248213,4415799,4621046,4833672,2018,6.9932548174555489,0,2018,2018,0,0]
["Switzerland",6.4400106263963126,2018,222506.07,226257.24,228664.62,232590.61,2018,232590.61,null,"Switzerland",14192.16,14633.93,14427.87,14978.86,2018,14978.860000000002,null,null,"Switzerland",2.1710349145796526,654158,661593,669619,689941,2018,2.1710349145796526,0,2018,2018,0,0]
["United Kingdom",18.329334727718884,2018,811023,828483,851847,877806,2018,877805.99999999988,null,"United Kingdom",144274,150855,154658,160896,2018,160896,null,null,"United Kingdom",7.597590620874108,1895839,1969524,2049629,2117724,2018,7.597590620874108,0,2018,2018,0,0]
["United States",24.599951613695993,{"$f":"LOOKUP(2,1/L44:O44,$L$7:$O$7)","v":2018},6913741.5449000001,7160165.3479000004,7414715.0725999996,7785514.2631000001,2018,7785514.2631000001,null,"United States",1665950.3144,1739946.3541000001,1812112.9428999999,1915232.7416000001,{"$f":"LOOKUP(2,1/L44:O44,$L$7:$O$7)","v":2018},{"$f":"1/LOOKUP(2,1/L44:O44)","v":1915232.7416000001},null,null,"United States",9.3061684945518159,18224775,18715050,19519400,20580250,2018,9.3061684945518159,0,2018,2018,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Checked 05/2/20"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"WEO GDP extract in October 2019 by DW"]
["Data extracted on 05 Feb 2020 09:14 UTC (GMT) from OECD.Stat"]
["Legend:"]
["B:",null,"Break"]
["P:",null,"Provisional value"]
["E:",null,"Estimated value"]
[]
["SOURCE:OECD COFOG"]
["Format is required"]
[]
["1)Go to Customise (top left menu) Choose Selection, choose Countries and choose ALL"]
["2)Go t Customise again and Choose Layout"]
["3)Move COUNTRY  tab to the box below under transaction by dragging it with the mouse"]
["4)Move transaction to the top box with Function, Sector and Measrue by dragging it with the mouse"]
["5)Press View data"]
["6) Click on the YEARS tab and a customise box will open"]
["6a) If you are happy with the OECD selection for the years, press VIEW DATA"]
["6B) If you prefer to see the years the CRI is using, click SELECT DATE RANGE, choose 2015 to 2018"]
["7) Press VIEW DATA"]

{"sheet":"PS_Source_OECD_SP_Gov_gdp","index":36,"n_rows":61,"n_cols":33,"rows_kept":61,"cut":false,"hidden":false,"merged":[[45,27,45,32],[5,3,5,4],[2,11,2,13],[3,11,3,13],[5,25,7,25],[5,22,5,24],[4,11,4,13],[5,11,5,13]]}
["OECD - % of Total Government Expenditure (SOCIAL PROTECTION) for CRI",null,null,null,"OECD COFOG - Governement Expenditure by Function",null,null,null,null," http://stats.oecd.org/viewhtml.aspx?datasetcode=SNA_TABLE11&lang=en#",null,null,null,null,null,null,null,null,null,"OECD - % of GDP SOCIAL PROTECTION SECTOR - COLUMN S",null,null,null,null,"IMF WEO October 2019"]
["Data extracted on 05 Jun 2020 ",null,null,null,"See instructions below on how to find the data below for Ed, He and SP"]
["Function","Social Protecion",null,"T: Total function",null,null,null,null,null,null,null,"100: Social protection"]
["Section","Gen Gov","Gen Gov","GS13: General government",null,null,null,null,null,null,null,"General government"]
["Measure",null,null,"Current prices",null,null,null,null,null,null,null,"Current prices"]
["Transaction","Total Gov Exp","Total Gov Exp","Total government expenditure",null,null,null,null,null,null,null,"Total government expenditure",null,null,null,null,null,null,null,"Country","SP as %",null,"Total GDP (IMF WEO October 2019)",null,null,"Year to take"]
[null,"Social Protecion","YEAR",2015,2016,2017,2018,"Last data","Amount",null,null,2015,2016,2017,2018,"Last data","Amount",null,null,null,"GDP",2015,2016,2017,2018]
["Country","",null,"","","",null,null,null,null,null,null,null,null,null,"","",null,null,null,null,2015,2016,2017,2018,null,null,null,null,null,"check year1","check year 2","Check value"]
["Australia",{"$f":"INDEX($Q$9:$Q$46,MATCH(A9,$K$9:$K$46,0))/INDEX($D$9:$G$46,MATCH(A9,$K$9:$K$46,0),MATCH(P9,$D$7:$G$7))*100","v":28.187259284903483},{"$f":"LOOKUP(2,1/L9:O9,$L$7:$O$7)","v":2015},600814,"..","..","..",{"$f":"LOOKUP(2,1/D9:G9,$D$7:$G$7)","v":2015},{"$f":"1/LOOKUP(2,1/D9:G9)","v":600814},null,"Australia",169353,"..","..","..",{"$f":"LOOKUP(2,1/L9:O9,$L$7:$O$7)","v":2015},{"$f":"1/LOOKUP(2,1/L9:O9)","v":169353},null,null,"Australia",{"$f":"INDEX($Q$9:$Q$44,MATCH(T9,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T9,$K$9:$K$44,0),MATCH(P9,$V$8:$Y$8))*100","v":10.319373938604013},{"$f":"VLOOKUP(A9,WEO_GDP,13,FALSE)*1000","v":1641117},{"$f":"VLOOKUP(A9,WEO_GDP,14,FALSE)*1000","v":1704220},{"$f":"VLOOKUP(A9,WEO_GDP,15,FALSE)*1000","v":1808582},{"$f":"VLOOKUP(A9,WEO_GDP,16,FALSE)*1000","v":1898100},{"$f":"LOOKUP(2,1/L9:O9,$L$7:$O$7)","v":2015},null,{"$f":"Q9/V9*100","v":10.319373938604013},{"$f":"P9","v":2015},{"$f":"Z9","v":2015},{"$f":"AC9-AD9","v":0},{"$f":"AC9-C9","v":0},{"$f":"U9-AB9","v":0}]
["Austria",{"$f":"INDEX($Q$9:$Q$46,MATCH(A10,$K$9:$K$46,0))/INDEX($D$9:$G$46,MATCH(A10,$K$9:$K$46,0),MATCH(P10,$D$7:$G$7))*100","v":41.376250682796197},{"$f":"LOOKUP(2,1/L10:O10,$L$7:$O$7)","v":2018},176029.87,179059.03,181843.57,187647.5,{"$f":"LOOKUP(2,1/D10:G10,$D$7:$G$7)","v":2018},{"$f":"1/LOOKUP(2,1/D10:G10)","v":187647.5},null,"Austria",72936.460000000006,75098.350000000006,75890.559999999998,77641.5,{"$f":"LOOKUP(2,1/L10:O10,$L$7:$O$7)","v":2018},{"$f":"1/LOOKUP(2,1/L10:O10)","v":77641.5},null,null,"Austria",{"$f":"INDEX($Q$9:$Q$44,MATCH(T10,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T10,$K$9:$K$44,0),MATCH(P10,$V$8:$Y$8))*100","v":20.109481110817573},344259,356238,369899,386094,{"$f":"LOOKUP(2,1/L10:O10,$L$7:$O$7)","v":2018},null,{"$f":"Q10/Y10*100","v":20.109481110817573},{"$f":"P10","v":2018},{"$f":"Z10","v":2018},{"$f":"AC10-AD10","v":0},{"$f":"AC10-C10","v":0},{"$f":"U10-AB10","v":0}]
["Belgium",36.997033413635783,2018,223850.1,228541.8,231707.1,239635.7,2018,239635.7,null,"Belgium",80798,83539.5,86001.2,88658.1,2018,88658.1,null,null,"Belgium",{"$f":"INDEX($Q$9:$Q$44,MATCH(T11,$K$9:$K$44,0))/INDEX($V$9:$Y$44,MATCH(T11,$K$9:$K$44,0),MATCH(P11,$V$8:$Y$8))*100","v":19.679671302934924},411103,424605,439175,450506,2018,null,{"$f":"Q11/Y11*100","v":19.679671302934924},2018,2018,0,0,0]
["Chile",24.553335912087032,2016,40193569.3178,43005180.906199999,"..","..",2016,43005180.906199999,null,"Chile",10165937.983999999,10559206.5275,"..","..",2016,10559206.5275,null,null,"Chile",6.2327080795288854,159534872,169416029,180169186,191199032,2016,null,{"$f":"Q12/W12*100","v":6.2327080795288854},2016,2016,0,0,0]
["Colombia",28.077915696867922,2017,257784584.69600001,268243500.91100001,293608320.98799998,"..",2017,293608320.98799998,null,"Colombia",70542276.788000003,73784093.496999994,82439096.846000001,"..",2017,82439096.846000001,null,null,"Colombia",8.958882240701417,804692000,863782000,920194000,978478000,2017,null,{"$f":"Q13/X13*100","v":8.958882240701417},2017,2017,0,0,0]
["Costa Rica",25.360749389897158,2017,9619594.3800000008,10379029.9,11216908.09,"..",2017,11216908.09,null,"Costa Rica",2429242.83,2665386.96,2844691.95,"..",2017,2844691.95,null,null,"Costa Rica",8.6164093463604932,29281373,31136211,33014819.000000004,34693418,2017,null,{"$f":"Q14/X14*100","v":8.6164093463604932},2017,2017,0,0,0]
["Czech Republic",29.546206802950962,2018,1916390,1882525,1965604,2166207,2018,2166207,null,"Czech Republic",576332,586919,603453,640032,2018,640032,null,null,"Czech Republic",12.010948933875151,4595783,4767990,5047267,5328738,2018,null,{"$f":"Q15/Y15*100","v":12.010948933875151},2018,2018,0,0,0]
["Denmark",43.050211947734127,2018,1110377,1106149,1114524,1144150,2018,1144150,null,"Denmark",478233,482523,487474,492559,2018,492559,null,null,"Denmark",22.156253725065955,2036356,2100216,2178067,2223115,2018,null,22.156253725065955,2018,2018,0,0,0]
["Estonia",33.331041459988803,2018,8154.5,8564.6,9352.2999999999993,10180.9,2018,10180.9,null,"Estonia",2625.3,2845.9,3068.8,3393.4,2018,3393.4,null,null,"Estonia",13.033492087878324,20782,21694,23776,26036,2018,null,13.033492087878324,2018,2018,0,0,0]
["Finland",45.482315112540192,2018,119415,120975,121319,124400,2018,124400.00000000001,null,"Finland",53413,55426,55546,56580,2018,56580,null,null,"Finland",24.377843650903074,209952,216073,223918,232096,2018,null,24.377843650903074,2018,2018,0,0,0]
["France",42.635633047755483,2018,1248656,1264297,1293953,1318613,2018,1318613,null,"France",535187,546056,554895,562199,2018,562199,null,null,"France",23.891946334394348,2198432,2234129,2295063,2353090,2018,null,23.891946334394348,2018,2018,0,0,0]
["Germany",43.610524804461328,2018,1334518,1388482,1441419,1490498,2018,1490498,null,"Germany",577996,610530,634925,650014,2018,650014,null,null,"Germany",19.436067181561846,3030070,3134100,3244990,3344370,2018,null,19.436067181561846,2018,2018,0,0,0]
["Greece",40.514836418970326,2018,94936,86480,85492,86746,2018,86746,null,"Greece",35922,36065,35096,35145,2018,35145,null,null,"Greece",19.026711564905746,177258,176488,180218,184714,2018,null,19.026711564905746,2018,2018,0,0,0]
["Hungary",28.517539743924786,2018,17615372,16943718,18241988,19917195,2018,19917195,null,"Hungary",5095228,5141302,5379244,5679894,2018,5679894,null,null,"Hungary",13.500161363214691,34378594,35474186,38355115,42072786,2018,null,13.500161363214691,2018,2018,0,0,0]
["Iceland",23.581184939308137,2018,949125.87,1108712.93,1124113.46,1180565.95,2018,1180565.95,null,"Iceland",209725.98,329260.31,255369.89,278391.44,2018,278391.44,null,null,"Iceland",9.9001047295435107,2293948,2490936,2612973,2812005,2018,null,9.9001047295435107,2018,2018,0,0,0]
["Ireland",35.428780476050356,2018,76007.05,75361.78,77481.350000000006,82168.62,2018,82168.62,null,"Ireland",27266.15,27529.040000000001,28241.94,29111.34,2018,29111.340000000004,null,null,"Ireland",8.9861186137752007,262504,271380,296835,323959,2018,null,8.9861186137752007,2018,2018,0,0,0]
["Israel",27.625272179282117,2018,448035.98,473657.43,502503.65,536512.18000000005,2018,536512.18000000005,null,"Israel",123905.37,129806.43,140718.99,148212.95000000001,2018,148212.95000000001,null,null,"Israel",11.138655121154232,1165324,1224951,1271555,1330618,2018,null,11.138655121154232,2018,2018,0,0,0]
["Italy",42.927233963880262,2018,832927,830749,845054,854602,2018,854602,null,"Italy",352256,353787,359312,366857,2018,366857,null,null,"Italy",20.771353574518393,1652086,1689823,1727383,1766168,2018,null,20.771353574518393,2018,2018,0,0,0]
["Japan",41.41001454784363,2018,209556100,210082900,211718700,213090000,2018,213090000.00000003,null,"Japan",85354500,86987100,87989400,88240600,2018,88240600,null,null,"Japan",16.073017341491099,531319800.00000006,535986500,545103700,548998350,2018,null,16.073017341491099,2018,2018,0,0,0]
["Korea, Rep.",22.260234467314593,2017,504008351.44999999,527386400,555679031.96000004,"..",2017,555679031.96000004,null,"Korea, Rep.",111113971.2,117247300,123695455.40000001,"..",2017,123695455.40000001,null,null,"Korea, Rep.",6.7383332477164961,1658020500,1740779500,1835698100,1893497100,2017,null,{"$f":"Q28/X28*100","v":6.7383332477164961},2017,2017,0,0,0]
["Latvia",30.170308715170101,2018,9269.7199999999993,9240.15,10185.99,11224.91,2018,11224.91,null,"Latvia",2894.18,2996.52,3151.22,3386.59,2018,3386.59,null,null,"Latvia",11.470634060425416,24320,25038,27033,29524,2018,null,{"$f":"Q29/Y29*100","v":11.470634060425416},2018,2018,0,0,0]
["Lithuania",35.394392790174081,2018,13104.59,13294.51,14020.41,15412.3,2018,15412.300000000001,null,"Lithuania",4175.8500000000004,4360.71,4742.88,5455.09,2018,5455.09,null,null,"Lithuania",12.091789688345083,37434,38849,42191,45114,2018,null,{"$f":"Q30/Y30*100","v":12.091789688345083},2018,2018,0,0,0]
["Luxembourg",42.812596801774319,2017,21643.17,22353.73,23824.46,"..",{"$f":"LOOKUP(2,1/D31:G31,$D$7:$G$7)","v":2017},{"$f":"1/LOOKUP(2,1/D31:G31)","v":23824.46},null,"Luxembourg",9463.02,9599.9,10199.870000000001,"..",2017,10199.870000000001,null,null,"Luxembourg",18.44494475487803,51579,53303,55299,58869,2017,null,18.44494475487803,2017,2017,0,0,0]
["Netherlands",36.771898348407397,2018,307826,308695,313333,325504,{"$f":"LOOKUP(2,1/D32:G32,$D$7:$G$7)","v":2018},{"$f":"1/LOOKUP(2,1/D32:G32)","v":325504},null,"Netherlands",114043,116149,117277,119694,2018,119694.00000000001,null,null,"Netherlands",15.463561913546995,690008,708337,738146,774039,2018,null,15.463561913546995,2018,2018,0,0,0]
["Norway",38.897495444350795,2018,1533194,1596594,1663422,1735757,2018,1735757,null,"Norway",607636,636056,656133,675166,2018,675166,null,null,"Norway",19.121856998011815,3111169,3098149,3295381,3530860,2018,null,19.121856998011815,2018,2018,0,0,0]
["Peru",20.171625232078974,2015,176664,"..","..","..",2015,176664,null,"Peru",35636,"..","..","..",2015,35636,null,null,"Peru",5.8480645394214301,609364,656168,698437,740806,2015,null,{"$f":"Q34/V34*100","v":5.8480645394214301},2015,2015,0,0,0]
["Poland",38.981711408062644,2018,750291.8,765085,820043.19,880877,2018,880877,null,"Poland",282885.61,309662.58,326874.81,343380.93,2018,343380.93,null,null,"Poland",16.230348087983394,1800228,1861112,1989314,2115672,2018,null,16.230348087983394,2018,2018,0,0,0]
["Portugal",39.31620922047648,2018,86707.39,83534.75,88904.23,88606.05,2018,88606.05,null,"Portugal",33242.69,33668.74,33705.17,34836.54,2018,34836.54,null,null,"Portugal",17.085445521246125,179713,186490,195947,203896,2018,null,17.085445521246125,2018,2018,0,0,0]
["Russian Federation",null,null,null,null,null,null,null,null,null,"Russian Federation",null,null,null,null,null,null,null,null,"Russian Federation",null,83094300,86014200,92101300,103875800,null,null,null,null,null,0,0,0]
["Slovak Republic",34.30990199310623,2018,36492.370000000003,34593.21,35083,37520.83,2018,37520.83,null,"Slovak Republic",11723.83,12092.89,12315.9,12873.36,2018,12873.36,null,null,"Slovak Republic",14.271701292654265,79138,81226,84851,90202,2018,null,{"$f":"Q38/Y38*100","v":14.271701292654265},2018,2018,0,0,0]
["Slovenia",38.269980316047388,2018,18925.3,18662.240000000002,18940.900000000001,19924.86,2018,19924.86,null,"Slovenia",7103.39,7131.67,7332.87,7625.24,2018,7625.24,null,null,"Slovenia",16.665369904928422,38853,40367,42987,45755,2018,null,{"$f":"Q39/Y39*100","v":16.665369904928422},2018,2018,0,0,0]
["Spain",40.501937200023129,2018,472962,472733,478669,501497,2018,501497.00000000006,null,"Spain",185080,189239,193711,203116,2018,203116,null,null,"Spain",16.810787189384961,1081165,1118743,1166319,1208248,2018,null,16.810787189384961,2018,2018,0,0,0]
["Sweden",39.233455440251589,2018,2102206,2195854,2276875,2407453,2018,2407453,null,"Sweden",857371,907289,924017,944527,2018,944527,null,null,"Sweden",19.540568743596999,4248213,4415799,4621046,4833672,2018,null,19.540568743596999,2018,2018,0,0,0]
["Switzerland",39.432529111987805,2018,222506.07,226257.24,228664.62,232590.61,2018,232590.61,null,"Switzerland",86688.93,89517.87,90618.81,91716.36,2018,91716.36,null,null,"Switzerland",13.293362765801714,654158,661593,669619,689941,2018,null,13.293362765801714,2018,2018,0,0,0]
["United Kingdom",36.519458741453121,2018,811023,828483,851847,877806,2018,877805.99999999988,null,"United Kingdom",307037,311538,312622,320570,2018,320570,null,null,"United Kingdom",15.13747778275167,1895839,1969524,2049629,2117724,2018,null,15.13747778275167,2018,2018,0,0,0]
["United States",19.933969798959009,2018,6913741.5449000001,7160165.3479000004,7414715.0725999996,7785514.2631000001,2018,7785514.2631000001,null,"United States",1419474.1309,1452977.7575999999,1495708.5595,1551962.0619000001,2018,1551962.0619000001,null,null,"United States",7.5410262844231735,18224775,18715050,19519400,20580250,2018,null,7.5410262844231735,2018,2018,0,0,0]
[]
["Data extracted on 05 Jun 2020 17:12 UTC (GMT) from OECD.Stat",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"WEO GDP extract in October 2019 by DW",null,null,null,null,null,null,null,"Checked on 05/02/20"]
[]
[]
[]
["SOURCE:OECD COFOG"]
["Format is required"]
[]
["1)Go to Customise (top left menu) Choose Selection, choose Countries and choose ALL"]
["2)Go t Customise again and Choose Layout"]
["3)Move COUNTRY  tab to the box below under transaction by dragging it with the mouse"]
["4)Move transaction to the top box with Function, Sector and Measrue by dragging it with the mouse"]
["5)Press View data"]
["6) Click on the YEARS tab and a customise box will open"]
["6a) If you are happy with the OECD selection for the years, press VIEW DATA"]
["6B) If you prefer to see the years the CRI is using, click SELECT DATE RANGE, choose 2015 to 2018"]
["7) Press VIEW DATA"]

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[{"$f":"DotStatQuery(B1)","v":{"$error":"#NAME?"}},"Sorry, the query is too large to fit into the Excel cell. You will not be able to update your table with the .Stat Populator."]
["UNESCO",null,"Expenditure on education as a percentage of total government expenditure (%)",null,null,null,null,null,null,null,null,"Data extracted on 14 Apr 2020 07:20 UTC (GMT) from UIS.Stat",null,null,null,null,null,null,null,null,null,null,null,null,null,"Source","UNESCO","Education: Release after 23 September 2019  "]
["Dataset: Education",2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,null,"http://data.uis.unesco.org/index.aspx?queryid=183&lang=en"]
["Indicator",null,"Expenditure on education as a percentage of total government expenditure (%)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Data extracted on 14 Apr 2020 07:20 UTC (GMT) from UIS.Stat"]
["Time",null,"1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018",2019,"YEAR","% Gov Exp",null,null,null,null,"Legend:"]
["Country","",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"+:","National Estimation"]
["Afghanistan","","..","..","..","..","..","..","..","..","..","..","..",17.06756,16.04843,10.3568,14.1028,14.46593,12.509,16.2117,15.661379999999999,"..","..",{"$f":"LOOKUP(2,1/C7:V7,$C$5:$V$5)","v":"2017"},{"$f":"1/LOOKUP(2,1/C7:W7)","v":15.661379999999998},null,null,null,null,"a:","Category not applicable"]
["Åland Islands","",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"‡:","UIS Estimation"]
["Albania","",9.6824600000000007,10.137029999999999,10.58193,9.8869199999999999,10.573600000000001,10.70316,11.35797,10.93295,11.17719,"..","..","..","..","..",12.12391,"..",11.3177,13.596959999999999,12.3908,8.4354600000000008,"..",{"$f":"LOOKUP(2,1/C9:V9,$C$5:$V$5)","v":"2018"},{"$f":"1/LOOKUP(2,1/C9:W9)","v":8.4354600000000008}]
["Algeria","","..","..","..","..","..","..","..","..","..",11.42835,"..","..","..","..","..","..","..","..","..","..","..",{"$f":"LOOKUP(2,1/C10:V10,$C$5:$V$5)","v":"2008"},{"$f":"1/LOOKUP(2,1/C10:W10)","v":11.42835}]
["American Samoa",""]
["Andorra","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",19.489100000000001,19.226520000000001,18.956939999999999,19.323060000000002,"..",{"$f":"LOOKUP(2,1/C12:V12,$C$5:$V$5)","v":"2018"},{"$f":"1/LOOKUP(2,1/C12:W12)","v":19.323060000000002}]
["Angola","","..",5.2550800000000004,"..","..","..","..",7.9923500000000001,7.45479,"..","..","..",8.6847700000000003,"..","..","..","..","..","..","..","..","..",{"$f":"LOOKUP(2,1/C13:V13,$C$5:$V$5)","v":"2010"},{"$f":"1/LOOKUP(2,1/C13:W13)","v":8.6847700000000003}]
["Anguilla","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Antigua and Barbuda","",12.439410000000001,"..","..",11.70154,"..","..","..","..","..","..",6.92814,"..","..","..","..","..","..","..","..","..","..",{"$f":"LOOKUP(2,1/C15:V15,$C$5:$V$5)","v":"2009"},{"$f":"1/LOOKUP(2,1/C15:W15)","v":6.92814}]
["Argentina","",15.87754,16.226150000000001,16.35596,16.442209999999999,14.35472,15.1393,15.80317,15.509840000000001,15.101570000000001,15.74784,16.020669999999999,15.047969999999999,15.15856,14.51826,14.457929999999999,13.799329999999999,13.96331,13.35554,13.263920000000001,"..","..","2017",13.263920000000001]
["Armenia","","..","..","..","..","..","..",13.64809,13.578519999999999,13.465590000000001,14.26845,13.451219999999999,12.400510000000001,12.59334,12.368969999999999,11.136760000000001,9.3671199999999999,10.656359999999999,10.1972,10.403130000000001,"..","..","2017",10.403130000000001]
["Aruba","",19.278919999999999,21.822759999999999,21.32039,19.757149999999999,"..",14.89786,18.90071,"..",20.788799999999998,19.036200000000001,21.53726,22.143660000000001,21.745460000000001,20.634080000000001,21.874590000000001,19.612719999999999,22.854990000000001,21.36655,"..","..","..","2016",21.36655]
["Australia","","..",13.36016,"..","..","..","..",13.585129999999999,13.1782,13.03027,12.59972,13.421670000000001,14.324,13.484999999999999,13.1744,14.04139,13.883789999999999,14.07972,13.77107,"..","..","..","2016",13.77107]
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["Uzbekistan","","..","..","..","..","..","..","..","..","..","..","..","..","..","..",23.320530000000002,23.517309999999998,23.64584,23.850449999999999,23.030909999999999,"..","..",{"$f":"LOOKUP(2,1/C238:V238,$C$5:$V$5)","v":"2017"},{"$f":"1/LOOKUP(2,1/C238:W238)","v":23.030909999999999}]
["Vanuatu","",25.82178,27.524190000000001,40.077550000000002,36.409619999999997,44.8018,"..","..","..","..",21.405629999999999,18.72315,"..","..","..","..",18.20824,13.7338,"..",12.692080000000001,"..","..",{"$f":"LOOKUP(2,1/C239:V239,$C$5:$V$5)","v":"2017"},{"$f":"1/LOOKUP(2,1/C239:W239)","v":12.692080000000001}]
["Venezuela, RB","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Vietnam","","..","..","..","..","..","..","..","..","..",18.054210000000001,15.239000000000001,17.11449,17.81127,18.784960000000002,18.515509999999999,"..","..",15.604900000000001,"..",14.468299999999999,"..",{"$f":"LOOKUP(2,1/C241:V241,$C$5:$V$5)","v":"2018"},{"$f":"1/LOOKUP(2,1/C241:W241)","v":14.468299999999997}]
["Wallis and Futuna Islands",""]
["Western Sahara",""]
["Yemen, Rep.","","..",30.489280000000001,30.321280000000002,"..","..","..","..","..","..",12.489240000000001,"..","..","..","..","..","..","..","..","..","..","..",{"$f":"LOOKUP(2,1/C244:V244,$C$5:$V$5)","v":"2008"},{"$f":"1/LOOKUP(2,1/C244:W244)","v":12.489240000000001}]
["Zambia","","..",8.3526199999999999,"..","..","..",10.584989999999999,7.72973,"..",6.2279099999999996,5.6517999999999997,"..","..","..","..","..","..",16.335280000000001,15.4018,14.807449999999999,17.048010000000001,"..",{"$f":"LOOKUP(2,1/C245:V245,$C$5:$V$5)","v":"2018"},{"$f":"1/LOOKUP(2,1/C245:W245)","v":17.048010000000001}]
["Zimbabwe","","..","..","..","..","..","..","..","..","..","..","..",8.5367200000000008,"..",29.751090000000001,28.660340000000001,30.015149999999998,"..","..",20.7896,19.039840000000002,"..",{"$f":"LOOKUP(2,1/C246:V246,$C$5:$V$5)","v":"2018"},{"$f":"1/LOOKUP(2,1/C246:W246)","v":19.039840000000002}]
[]
[]
["Data extracted on 14 Apr 2020 07:20 UTC (GMT) from UIS.Stat"]
["Legend:"]
["+:","National Estimation"]
["a:","Category not applicable"]
["‡:","UIS Estimation"]
[null,null,"Source","UNESCO","Education: 14 April 2020 "]
[null,null,null,"http://data.uis.unesco.org/index.aspx?queryid=183&lang=en"]

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["UNESCO",null,"Expenditure on education as a percentage of GDP (%)",null,null,null,null,null,null,null,null,"Data extracted on 14 Apr 2020 09:33 UTC (GMT) from UIS.Stat",null,null,null,null,null,null,null,null,null,null,null,null,null,"Source:","UNESCO"]
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["Dataset: Education",2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,null,"Data extracted on 14 Apr 2020 09:33 UTC (GMT) from UIS.Stat"]
["Indicator",null,"Government expenditure on education as a percentage of GDP (%)"]
["Time",null,"1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013",2014,"2015",2016,2017,2018,2019,"YEAR","% GDP"]
["Country",""]
["Afghanistan","","..","..","..","..","..","..","..","..","..","..","..",3.4794499999999999,3.4620099999999998,2.6042000000000001,3.4544600000000001,3.6952199999999999,3.2557999999999998,4.2283600000000003,4.0588699999999998,"..","..",{"$f":"LOOKUP(2,1/C8:W8,$C$6:$W$6)","v":2017},{"$f":"1/LOOKUP(2,1/C8:W8)","v":4.0588699999999998}]
["Åland Islands","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Albania","",3.59293,3.4301699999999999,3.4586999999999999,3.1177999999999999,3.1382400000000001,3.2275200000000002,3.2815500000000002,3.1914600000000002,3.2759299999999998,"..","..","..","..","..",3.5392999999999999,"..",3.43797,3.9620899999999999,3.6102500000000002,2.4686599999999999,"..",{"$f":"LOOKUP(2,1/C10:W10,$C$6:$W$6)","v":2018},{"$f":"1/LOOKUP(2,1/C10:W10)","v":2.4686599999999999}]
["Algeria","","..","..","..","..","..","..","..","..","..",4.3370199999999999,"..","..","..","..","..","..","..","..","..","..","..",{"$f":"LOOKUP(2,1/C11:W11,$C$6:$W$6)","v":"2008"},{"$f":"1/LOOKUP(2,1/C11:W11)","v":4.3370199999999999}]
["American Samoa","","..","..","..","..","..","..","..",14.62928,"..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Andorra","","..","..","..",1.68153,"..",1.5226900000000001,1.59653,2.1898900000000001,2.07097,2.9300700000000002,3.1548400000000001,3.05742,3.1450800000000001,"..",2.4380700000000002,2.9978099999999999,3.2536800000000001,3.2566999999999999,3.1950500000000002,3.2269100000000002,"..",{"$f":"LOOKUP(2,1/C13:W13,$C$6:$W$6)","v":2018},{"$f":"1/LOOKUP(2,1/C13:W13)","v":3.2269099999999997}]
["Angola","","..",2.6075300000000001,"..","..","..","..",2.1201099999999999,2.28146,"..","..","..",3.4213200000000001,"..","..","..","..","..","..","..","..","..","2010",3.4213200000000001]
["Anguilla","",3.61178,3.8359800000000002,5.4019599999999999,5.4227699999999999,5.1237399999999997,"..",2.9544700000000002,"..","..",2.8426300000000002,"..","..","..","..","..","..","..","..","..","..","..","2008",2.8426300000000002]
["Antigua and Barbuda","",2.7539699999999998,"..","..",3.3942800000000002,"..","..","..","..","..","..",2.5172400000000001,"..","..","..","..","..","..","..","..","..","..","2009",2.5172400000000001]
["Argentina","",4.5216799999999999,4.5803099999999999,4.8337399999999997,4.0173399999999999,3.53505,3.4865200000000001,3.8600099999999999,4.1282100000000002,4.4626000000000001,4.8444099999999999,5.5310499999999996,5.0197099999999999,5.2906300000000002,5.3458300000000003,5.4366099999999999,5.36144,5.7761100000000001,5.54549,5.4622299999999999,"..","..",2017,5.4622299999999999]
["Armenia","",2.2351899999999998,2.7727300000000001,2.4694400000000001,2.13504,2.1450399999999998,2.4867300000000001,2.7120299999999999,2.71577,3.0189400000000002,3.1727300000000001,3.8407900000000001,3.2490000000000001,3.14385,2.7724799999999998,2.6501800000000002,2.2472400000000001,2.8059099999999999,2.7581199999999999,2.7075900000000002,"..","..",2017,2.7075900000000002]
["Aruba","",4.3955399999999996,4.7146800000000004,4.7398600000000002,4.9236500000000003,"..",4.40848,4.6813200000000004,"..",4.8150399999999998,4.9992299999999998,5.9247899999999998,6.9292699999999998,6.1191300000000002,6.5490599999999999,6.8080600000000002,6.1629300000000002,6.4817499999999999,6.1898999999999997,"..","..","..",2016,6.1898999999999997]
["Australia","","..",4.89147,"..","..","..","..",4.9103000000000003,4.7502000000000004,4.6608900000000002,4.6377600000000001,5.08582,5.5500600000000002,5.0745100000000001,4.8689999999999998,5.2297399999999996,5.1647699999999999,5.31196,5.27163,"..","..","..",2016,5.27163]
["Austria","",6.1123399999999997,5.5888099999999996,5.5754799999999998,5.5221299999999998,5.3618300000000003,5.3024300000000002,5.2493699999999999,5.2265199999999998,5.1468999999999996,5.26396,5.7302499999999998,5.7004799999999998,5.5922700000000001,5.4804000000000004,5.54711,5.4476199999999997,5.4567500000000004,5.5007000000000001,"..","..","..",2016,5.5007000000000001]
["Azerbaijan","",4.2121399999999998,3.85399,3.5034200000000002,3.1544599999999998,3.2861500000000001,3.4477000000000002,2.9746199999999998,2.55552,2.54928,2.4409299999999998,3.22431,2.7806199999999999,2.4356399999999998,2.0676299999999999,2.4421300000000001,2.6330399999999998,2.9516800000000001,2.90341,2.4738199999999999,"..","..",2017,2.4738199999999999]
["Bahamas, The","","..",2.2328399999999999,"..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","2000",2.2328399999999999]
["Bahrain","","..","..","..","..","..","..","..",2.8743599999999998,2.5750000000000002,2.4967800000000002,"..","..","..",2.6453099999999998,2.47688,2.46746,2.6680799999999998,"..",2.32721,"..","..",2017,2.32721]
["Bangladesh","",2.1328200000000002,2.1250800000000001,2.1719300000000001,2.01715,2.0693899999999998,1.94014,"..",2.1312899999999999,2.2022200000000001,2.05457,1.9394199999999999,"..",2.1326999999999998,2.1755,1.9661599999999999,"..","..",1.5355399999999999,2.47255,1.9860199999999999,"..",2018,1.9860199999999997]
["Barbados","",4.2545799999999998,4.6215099999999998,5.9350899999999998,5.76335,6.1213600000000001,5.9040699999999999,5.5569600000000001,"..",5.2716399999999997,4.9244500000000002,5.1193900000000001,6.0348699999999997,"..",5.2588999999999997,5.0977399999999999,6.2294099999999997,"..",5.0927199999999999,4.6565200000000004,"..","..",2017,4.6565200000000004]
["Belarus","",6.0000099999999996,6.1966200000000002,"..","..","..",5.7122599999999997,5.8710300000000002,6.0769599999999997,5.1520999999999999,"..",4.3689400000000003,5.0916699999999997,4.6847899999999996,4.9596400000000003,5.0094200000000004,4.8183100000000003,4.7875199999999998,4.9465500000000002,4.7949900000000003,"..","..",2017,4.7949900000000003]
["Belgium","","..","..","..","..","..","..",5.7690099999999997,"..","..",6.2913899999999998,6.4153599999999997,6.4079899999999999,6.3787399999999996,"..",6.6396600000000001,6.6385199999999998,6.5394399999999999,6.5451300000000003,"..","..","..",2016,6.5451300000000003]
["Belize","",5.4434399999999998,5.0284300000000002,5.7969299999999997,"..",5.2068199999999996,5.2992699999999999,"..","..","..",5.6878900000000003,6.1001399999999997,6.6296299999999997,"..","..",6.2572000000000001,6.4953000000000003,6.7661800000000003,7.1248100000000001,7.3787599999999998,"..","..",2017,7.3787599999999998]
["Benin","",2.6266500000000002,2.88869,3.2323499999999998,2.9513400000000001,3.1202700000000001,3.5080399999999998,3.6307900000000002,3.5032800000000002,3.2298100000000001,3.7956599999999998,4.2220399999999998,5.0293200000000002,"..",4.8681599999999996,4.54732,4.3211300000000001,4.3564299999999996,3.9946899999999999,4.8446400000000001,4.0381400000000003,"..",2018,4.0381400000000003]
["Bermuda","","..","..","..","..",1.6662699999999999,1.7758799999999999,1.9887699999999999,"..","..","..",2.58609,2.5851999999999999,"..","..","..",1.7595799999999999,1.6986000000000001,"..",1.5003899999999999,"..","..",2017,1.5003900000000001]
["Bhutan","","..",5.5137900000000002,5.7178000000000004,"..","..",6.4179899999999996,7.0781000000000001,"..","..",4.7975000000000003,4.6267199999999997,4.02447,4.6525800000000004,"..",5.5896600000000003,5.9033300000000004,7.32193,6.8024899999999997,7.02813,6.6404300000000003,"..",2018,6.6404300000000012]
["Bolivia","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",{"$error":"#N/A"},{"$error":"#N/A"}]
["Bosnia and Herzegovina","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Botswana","","..","..","..","..","..","..",10.67859,"..",8.8514900000000001,"..",9.6329200000000004,"..","..","..","..","..","..","..","..","..","..",{"$f":"LOOKUP(2,1/C35:W35,$C$6:$W$6)","v":"2009"},{"$f":"1/LOOKUP(2,1/C35:W35)","v":9.6329200000000004}]
["Brazil","",3.8006199999999999,3.9489299999999998,3.8446799999999999,3.7503700000000002,"..",3.9744799999999998,4.4790799999999997,4.8705999999999996,4.9742600000000001,5.26884,5.4635499999999997,5.6487999999999996,5.7374099999999997,5.8551000000000002,5.8388499999999999,5.94848,6.2410600000000001,"..","..","..","..","2015",6.2410600000000001]
["British Virgin Islands","","..","..",2.9047700000000001,"..","..","..",3.0463300000000002,3.5767500000000001,3.1518999999999999,"..",3.4762900000000001,3.8170000000000002,"..","..","..","..",5.1347899999999997,"..",2.3589899999999999,"..","..",2017,2.3589899999999999]
["Brunei Darussalam","",4.9320500000000003,3.7059099999999998,"..","..","..","..","..","..","..","..","..",2.0466099999999998,3.3220999999999998,2.8895900000000001,"..",3.3531900000000001,"..",4.4254100000000003,"..","..","..",2016,4.4254100000000003]
["Bulgaria","","..","..",3.41018,3.4123800000000002,4.0293799999999997,2.3378100000000002,4.1410600000000004,3.9320200000000001,3.6821100000000002,4.2243700000000004,4.2857500000000002,3.8634599999999999,3.5630299999999999,3.50203,4.0768500000000003,"..","..","..","..","..","..","2013",4.0768500000000003]
["Burkina Faso","","..","..","..","..","..","..",4.4325999999999999,4.4787600000000003,4.5885800000000003,"..","..",3.9389599999999998,4.4832599999999996,4.0535300000000003,4.5938400000000001,4.5599400000000001,4.1660700000000004,"..",6.4274399999999998,6.0360899999999997,"..",2018,6.0360899999999997]
["Burundi","",3.4174500000000001,2.6454800000000001,2.9039100000000002,3.0049299999999999,"..",3.7449599999999998,3.6321599999999998,"..","..",5.1928999999999998,6.1719499999999998,6.7752499999999998,6.3192500000000003,6.1678600000000001,5.9953599999999998,6.7845199999999997,6.3705400000000001,4.6927199999999996,4.7618299999999998,5.01084,"..",2018,5.01084]
["Cabo Verde","",6.8016800000000002,"..","..",7.8768200000000004,"..",7.4766399999999997,"..",6.5296000000000003,5.4075499999999996,5.5179999999999998,5.3089599999999999,5.5672899999999998,5.0436100000000001,"..",5.0014399999999997,4.96387,5.2669100000000002,5.2887899999999997,5.1732199999999997,"..","..",2017,5.1732199999999997]
["Cambodia","","..",1.6559900000000001,1.7222200000000001,1.7112099999999999,"..",1.7198199999999999,"..","..",1.5992999999999999,"..",1.66568,1.53379,1.5106900000000001,1.5609,2.0505399999999998,1.9093899999999999,"..","..","..",2.1628599999999998,"..",2018,2.1628599999999998]
["Cameroon","","..",1.7799199999999999,2.4241799999999998,"..",3.0914199999999998,3.0136400000000001,2.8871699999999998,2.7414499999999999,3.0752299999999999,2.6111800000000001,3.1094200000000001,2.9936600000000002,2.7667700000000002,2.6971799999999999,2.7680199999999999,2.6871299999999998,2.7680500000000001,2.6542300000000001,3.15482,3.1452900000000001,"..",2018,3.1452900000000001]
["Canada","",5.5499400000000003,5.4420000000000002,4.9695600000000004,5.0107299999999997,"..","..",4.7821499999999997,"..",4.7803599999999999,4.6382599999999998,4.8526400000000001,5.3699300000000001,5.2744400000000002,"..","..","..","..","..","..","..","..","2011",5.2744400000000002]
["Cayman Islands","","..","..","..","..","..","..",2.3461799999999999,2.6073900000000001,"..","..","..","..","..","..","..","..","..","..","..","..","..","2006",2.6073900000000001]
["Central African Republic","",1.6900200000000001,1.6126499999999999,"..",1.5195700000000001,1.5398000000000001,1.62453,1.65222,1.41506,1.31332,1.2900100000000001,1.25458,1.11761,1.10792,"..","..","..","..","..","..","..","..","2011",1.10792]
["Chad","",3.2278600000000002,2.6467100000000001,2.4261400000000002,"..","..",1.5929500000000001,1.6947700000000001,"..","..","..",2.3117399999999999,1.98194,2.2578999999999998,2.2061500000000001,2.8507099999999999,"..","..","..",2.4548199999999998,2.2418499999999999,"..",2018,2.2418499999999999]
["Channel Islands","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Chile","",3.7292200000000002,3.77583,"..",4.0812099999999996,3.96346,3.5383900000000001,3.2628300000000001,3.0215299999999998,3.2137899999999999,3.79243,4.2306499999999998,4.1620900000000001,4.0451899999999998,"..",4.5294299999999996,4.73095,4.8753099999999998,5.34415,5.4027399999999997,"..","..",{"$f":"LOOKUP(2,1/C50:W50,$C$6:$W$6)","v":2017},{"$f":"1/LOOKUP(2,1/C50:W50)","v":5.4027399999999997}]
["China","",1.8880399999999999,"..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","1999",1.8880400000000002]
["Colombia","",4.4408000000000003,3.5112100000000002,3.7086800000000002,4.2681300000000002,4.3251400000000002,4.0793499999999998,4.0331299999999999,3.9271400000000001,4.0924399999999999,3.9465400000000002,4.77454,4.8415900000000001,4.47262,4.3744800000000001,4.8817399999999997,4.6294599999999999,4.4703900000000001,4.4772100000000004,4.53688,4.5025899999999996,"..",2018,4.5025899999999996]
["Comoros","","..","..","..",2.2584200000000001,"..","..","..","..","..",4.42265,"..","..",2.8304499999999999,2.7478400000000001,2.3827600000000002,2.7447300000000001,2.4870800000000002,"..","..","..","..","2015",2.4870800000000002]
["Congo, Dem. Rep.","","..","..","..","..","..","..","..","..","..","..","..",1.52498,"..","..",2.0622099999999999,1.95143,2.1704400000000001,2.11869,1.45495,"..","..",2017,1.45495]
["Congo, Rep.","","..","..","..",3.2083200000000001,2.83616,2.2881300000000002,1.8357699999999999,"..","..","..","..",6.22079,"..","..","..",4.0171999999999999,4.5614699999999999,"..",5.6607200000000004,3.63639,"..",2018,3.63639]
["Cook Islands","",1.91272,2.0706000000000002,"..","..","..","..","..","..","..","..","..","..",3.0880399999999999,2.8249900000000001,2.9623900000000001,3.92848,3.87887,4.6868400000000001,"..","..","..",2016,4.6868400000000001]
["Costa Rica","",5.4168700000000003,4.68696,4.8510999999999997,5.17354,5.1563600000000003,4.9121800000000002,"..",4.6391799999999996,4.6589,4.9171199999999997,6.0463500000000003,6.6344500000000002,6.4553500000000001,6.6898400000000002,6.8493399999999998,6.8695199999999996,7.0825399999999998,7.0976800000000004,7.3543599999999998,7.0282400000000003,"..",2018,7.0282400000000003]
["Cote d'Ivoire","",4.0943300000000002,3.7036699999999998,3.6686800000000002,4.0903299999999998,3.9679899999999999,4.1278600000000001,4.1057499999999996,4.0015000000000001,4.2583299999999999,4.3412600000000001,4.4124600000000003,4.5534600000000003,4.1375500000000001,4.6541100000000002,4.7290000000000001,4.5774299999999997,4.8298800000000002,5.3942300000000003,5.1435300000000002,4.3681599999999996,"..",2018,4.3681599999999996]
["Croatia","","..","..","..",3.8122799999999999,3.86653,3.8255699999999999,"..","..",3.96922,4.2693399999999997,4.3839399999999999,4.2379300000000004,4.1471,"..",4.5569499999999996,"..","..","..","..","..","..","2013",4.5569499999999996]
["Cuba","",6.7552399999999997,7.7048100000000002,8.3580900000000007,9.5711700000000004,9.9408600000000007,10.268230000000001,10.557779999999999,9.0571699999999993,11.868209999999999,14.05908,13.12486,12.83731,"..","..","..","..","..","..","..","..","..","2010",12.83731]
["Curaçao","","..","..","..","..","..","..","..","..","..","..","..","..","..","..",4.9309500000000002,"..","..","..","..","..","..","2013",4.9309500000000002]
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["Senegal","",2.48935,2.4941200000000001,2.60249,2.6793200000000001,2.7721100000000001,3.04488,4.0577300000000003,3.7696800000000001,"..",3.9867900000000001,4.8701299999999996,5.1825200000000002,4.8789499999999997,4.7331599999999998,5.6725000000000003,5.7202299999999999,5.4563499999999996,5.1130899999999997,4.5949200000000001,4.6520099999999998,"..",2018,4.6520099999999998]
["Serbia","","..","..","..","..","..","..","..","..",4.2098399999999998,4.4420000000000002,4.4839799999999999,4.3278100000000004,4.2383600000000001,4.1642099999999997,"..",3.9269799999999999,3.7890199999999998,3.6402700000000001,3.71509,"..","..",2017,3.71509]
["Seychelles","",5.2610000000000001,"..","..",5.1933299999999996,5.37493,"..","..",4.7701200000000004,"..","..","..","..",3.6064400000000001,2.6139299999999999,3.6081300000000001,4.0836800000000002,"..",4.4183199999999996,"..","..","..",2016,4.4183199999999996]
["Sierra Leone","","..",4.94937,3.4327200000000002,3.54528,3.2606099999999998,3.1071300000000002,2.79698,"..",2.5585100000000001,2.41317,2.7781400000000001,2.5886399999999998,2.6688999999999998,2.8720400000000001,2.37981,2.6629200000000002,"..",3.0602299999999998,4.6357699999999999,7.1384600000000002,"..",2018,7.1384600000000011]
["Singapore","","..",3.3212999999999999,3.5424899999999999,3.87853,3.9819399999999998,3.6527599999999998,3.1959599999999999,2.8591199999999999,2.9467500000000002,2.7646000000000002,3.0101300000000002,3.0804399999999998,3.03077,3.0708600000000001,2.8543500000000002,"..","..","..","..","..","..","2013",2.8543500000000002]
["Sint Maarten (Dutch part)","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Slovak Republic","",4.1124700000000001,3.8719899999999998,3.9419900000000001,4.2510599999999998,4.2172099999999997,4.1081300000000001,3.7652199999999998,3.7135400000000001,3.5293199999999998,3.5267400000000002,4.0109399999999997,4.1158799999999998,3.96231,3.9092099999999999,4.0866600000000002,4.2306800000000004,4.6355700000000004,3.9026700000000001,"..","..","..",{"$f":"LOOKUP(2,1/C202:W202,$C$6:$W$6)","v":2016},{"$f":"1/LOOKUP(2,1/C202:W202)","v":3.9026700000000001}]
["Slovenia","","..","..",5.7570899999999998,5.6551200000000001,5.6912799999999999,5.6351800000000001,5.5824100000000003,5.57559,5.1050899999999997,5.10609,5.5685900000000004,5.5625099999999996,5.5656299999999996,5.6478299999999999,5.4378200000000003,5.2960700000000003,4.9081799999999998,4.8028899999999997,"..","..","..",{"$f":"LOOKUP(2,1/C203:W203,$C$6:$W$6)","v":2016},{"$f":"1/LOOKUP(2,1/C203:W203)","v":4.8028899999999997}]
["Solomon Islands","","..","..","..","..","..","..","..","..",9.8799499999999991,8.8009199999999996,8.9732599999999998,9.8606300000000005,"..","..","..","..","..","..","..","..","..",{"$f":"LOOKUP(2,1/C204:W204,$C$6:$W$6)","v":"2010"},{"$f":"1/LOOKUP(2,1/C204:W204)","v":9.8606300000000005}]
["Somalia","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["South Africa","",5.8752300000000002,5.4435799999999999,5.1594800000000003,5.0662200000000004,4.8648499999999997,5.0689099999999998,5.0632000000000001,5.0725699999999998,4.9741400000000002,4.8659999999999997,5.2486899999999999,5.7217399999999996,5.9627499999999998,6.3716400000000002,6.0135399999999999,6.0466199999999999,5.9561900000000003,5.94285,6.1130599999999999,6.1589900000000002,"..",{"$f":"LOOKUP(2,1/C206:W206,$C$6:$W$6)","v":2018},{"$f":"1/LOOKUP(2,1/C206:W206)","v":6.1589900000000002}]
["South Sudan","","..","..","..","..","..","..","..","..","..","..","..","..",0.80520999999999998,"..",1.1789000000000001,1.7129700000000001,1.5406200000000001,1.49691,0.98104000000000002,"..","..",2017,0.98103999999999991]
["Spain","",4.2705200000000003,4.1763700000000004,4.1198800000000002,4.1360299999999999,4.1671699999999996,4.1482900000000003,4.1300299999999996,4.1675899999999997,4.23332,4.5009399999999999,4.8677099999999998,4.8191199999999998,4.8663299999999996,4.4318799999999996,4.3283399999999999,4.2798999999999996,4.2723899999999997,4.2091099999999999,"..","..","..",2016,4.2091099999999999]
["Sri Lanka","","..","..","..","..","..","..","..","..","..","..",2.0558999999999998,1.71774,1.8086100000000001,1.49617,1.62107,1.9328799999999999,2.2287499999999998,3.4491999999999998,2.78044,2.1118899999999998,"..",2018,2.1118899999999998]
["St. Lucia","",6.09171,"..",6.3811900000000001,"..",3.9510000000000001,3.8410299999999999,4.7380800000000001,5.2503700000000002,"..",4.6820899999999996,3.4276900000000001,3.8172600000000001,3.81277,3.57376,4.3088699999999998,4.3619599999999998,4.40116,5.7388300000000001,"..",3.6795900000000001,"..",2018,3.6795899999999997]
["St. Vincent and the Grenadines","",5.7526799999999998,7.9138099999999998,"..",7.80199,8.6378299999999992,"..",6.3508100000000001,"..",5.67103,"..",5.6897799999999998,5.0852300000000001,"..","..","..","..","..",5.7606799999999998,5.7827299999999999,5.6812199999999997,"..",2018,5.6812199999999997]
["Sudan","","..",1.0121800000000001,"..",1.4264399999999999,"..",1.6298999999999999,1.56307,1.96302,"..",2.2014300000000002,2.21868,"..","..","..","..","..","..","..","..","..","..","2009",2.21868]
["Sudan (pre-secession)","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Suriname","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Svalbard and Jan Mayen Islands","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Sweden","",6.9218500000000001,6.8094999999999999,6.6758100000000002,6.9899300000000002,6.8489000000000004,6.7148099999999999,6.5519999999999996,6.4029199999999999,6.2076700000000002,6.3830400000000003,6.8505000000000003,6.6147900000000002,6.4832000000000001,7.6477399999999998,7.7094899999999997,7.6732899999999997,7.5483000000000002,7.6699299999999999,"..","..","..",{"$f":"LOOKUP(2,1/C216:W216,$C$6:$W$6)","v":2016},{"$f":"1/LOOKUP(2,1/C216:W216)","v":7.669929999999999}]
["Switzerland","",4.8902299999999999,4.7813999999999997,4.9598100000000001,5.3142899999999997,5.5237600000000002,5.4457300000000002,5.2041000000000004,4.9615799999999997,4.6873800000000001,4.8679899999999998,5.0411799999999998,4.92605,4.9698599999999997,5.0333699999999997,5.0404799999999996,5.0512300000000003,5.1005700000000003,5.1133199999999999,"..","..","..",2016,5.1133199999999999]
["Syrian Arab Republic","","..","..",4.5822700000000003,5.24003,6.4808399999999997,5.37148,"..",5.2796500000000002,4.8647099999999996,4.5952500000000001,5.1301399999999999,"..","..","..","..","..","..","..","..","..","..","2009",5.1301399999999999]
["Tajikistan","",2.0765199999999999,2.3287100000000001,2.3765900000000002,2.7757900000000002,2.4207900000000002,2.77203,3.51213,3.4035000000000002,3.4132699999999998,3.4598300000000002,4.0983099999999997,4.0067500000000003,3.9351099999999999,4.0180300000000004,"..","..",5.2313900000000002,"..","..","..","..","2015",5.2313900000000002]
["Tanzania","","..","..","..","..","..",3.5612300000000001,3.5462500000000001,3.0099200000000002,4.0334199999999996,4.1859099999999998,3.9607600000000001,4.5416999999999996,"..","..","..",3.3848799999999999,"..","..",4.4305099999999999,3.6964399999999999,"..",2018,3.6964399999999999]
["Thailand","",4.8326700000000002,5.2534599999999996,4.8178599999999996,3.8649200000000001,3.7256100000000001,4.0308900000000003,3.93859,4.0503799999999996,3.6031399999999998,3.5085000000000002,3.8619400000000002,3.5084399999999998,4.8055599999999998,4.5367100000000002,4.1240199999999998,"..","..","..","..","..","..","2013",4.1240199999999998]
["Timor-Leste","","..","..","..","..","..","..","..","..","..",1.2804199999999999,2.9313400000000001,2.4493900000000002,1.8735900000000001,1.2477499999999999,1.40282,2.69129,4.3539199999999996,5.3262,4.5692899999999996,4.1284400000000003,"..",2018,4.1284400000000003]
["Togo","",4.1857199999999999,3.9209000000000001,3.7670400000000002,3.4874499999999999,3.3260900000000002,3.1096300000000001,3.15978,3.4350100000000001,3.5106299999999999,3.2852999999999999,3.86788,4.0964600000000004,4.3093000000000004,4.7191999999999998,4.4236500000000003,4.7845500000000003,5.1086,5.0330500000000002,5.0339200000000002,5.4288499999999997,"..",2018,5.4288499999999997]
["Tokelau","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Tonga","",5.4609199999999998,4.9407699999999997,4.5325600000000001,3.7923200000000001,4.16012,3.9080400000000002,"..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",{"$f":"LOOKUP(2,1/C225:W225,$C$6:$W$6)","v":"2004"},{"$f":"1/LOOKUP(2,1/C225:W225)","v":3.9080400000000002}]
["Trinidad and Tobago","",2.7561200000000001,2.7556500000000002,3.0652900000000001,3.5430100000000002,3.1366000000000001,"..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","2003",3.1366000000000001]
["Tunisia","",6.2709900000000003,6.2019799999999998,6.2018300000000002,5.7900299999999998,6.8167299999999997,6.7207800000000004,6.4515700000000002,6.4385899999999996,6.4655199999999997,6.2721900000000002,6.5284800000000001,6.25481,"..",6.2503700000000002,"..","..",6.5992100000000002,"..","..","..","..","2015",6.5992100000000002]
["Turkey","",2.8866399999999999,2.52908,2.6543399999999999,2.7489400000000002,2.87663,3.0202,"..",2.7506300000000001,"..","..","..","..","..","..","..","..","..","..","..","..","..","2006",2.7506300000000001]
["Turkmenistan","","..","..","..","..","..","..","..","..","..","..","..","..","..",3.0492499999999998,"..","..","..","..","..","..","..","2012",3.0492499999999998]
["Turks and Caicos Islands","","..",4.7188299999999996,4.8430099999999996,5.06914,4.7287800000000004,"..",2.5409999999999999,"..","..","..","..","..","..","..","..","..",3.1574499999999999,"..","..",2.9143500000000002,"..",2018,2.9143500000000002]
["Tuvalu","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Uganda","","..",2.4616699999999998,"..","..","..",4.9523700000000002,"..","..","..","..","..",2.3890099999999999,3.0376699999999999,2.4831400000000001,2.2087599999999998,2.25068,2.7737599999999998,2.5588199999999999,2.7271299999999998,2.5207600000000001,"..",{"$f":"LOOKUP(2,1/C232:W232,$C$6:$W$6)","v":2018},{"$f":"1/LOOKUP(2,1/C232:W232)","v":2.5207600000000001}]
["Ukraine","",3.61808,4.1662299999999997,4.68506,5.4386299999999999,5.6078599999999996,5.31351,6.0644099999999996,6.2148000000000003,6.1572100000000001,6.43621,7.3180199999999997,"..",6.1623700000000001,6.6923300000000001,6.6716600000000001,5.8749399999999996,"..",5.0097800000000001,5.4122599999999998,"..","..",{"$f":"LOOKUP(2,1/C233:W233,$C$6:$W$6)","v":2017},{"$f":"1/LOOKUP(2,1/C233:W233)","v":5.4122599999999998}]
["United Arab Emirates","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["United Kingdom","",4.0176699999999999,4.0653300000000003,4.1430899999999999,4.6800899999999999,4.8357200000000002,4.7600899999999999,4.9665100000000004,5.0123100000000003,4.9450700000000003,4.9199099999999998,5.1068699999999998,5.7416400000000003,5.6462000000000003,"..",5.5882300000000003,5.6649900000000004,5.6093900000000003,5.4869700000000003,"..","..","..",{"$f":"LOOKUP(2,1/C235:W235,$C$6:$W$6)","v":2016},{"$f":"1/LOOKUP(2,1/C235:W235)","v":5.4869700000000003}]
["United States","","..","..","..","..","..","..","..","..","..","..","..","..","..","..",4.9310499999999999,4.9617399999999998,"..","..","..","..","..",{"$f":"LOOKUP(2,1/C236:W236,$C$6:$W$6)","v":2014},{"$f":"1/LOOKUP(2,1/C236:W236)","v":4.9617399999999998}]
["United States Virgin Islands","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Uruguay","","..",2.4225500000000002,2.8009599999999999,2.3222,2.0682100000000001,2.4995400000000001,2.71475,2.8802599999999998,"..","..","..","..",4.35527,"..","..","..","..",4.7591000000000001,4.8403,"..","..",{"$f":"LOOKUP(2,1/C238:W238,$C$6:$W$6)","v":2017},{"$f":"1/LOOKUP(2,1/C238:W238)","v":4.8403}]
["Uzbekistan","","..","..","..","..","..","..","..","..","..","..","..","..","..","..",7.2835400000000003,6.0252699999999999,5.7863800000000003,5.6677299999999997,5.2813400000000001,"..","..",{"$f":"LOOKUP(2,1/C239:W239,$C$6:$W$6)","v":2017},{"$f":"1/LOOKUP(2,1/C239:W239)","v":5.2813400000000001}]
["Vanuatu","",6.1628299999999996,7.0036300000000002,8.9511500000000002,8.1317500000000003,8.4417299999999997,"..","..","..","..",5.7830300000000001,5.01295,"..","..","..","..",4.9108299999999998,5.5498700000000003,"..",4.6953699999999996,"..","..",{"$f":"LOOKUP(2,1/C240:W240,$C$6:$W$6)","v":2017},{"$f":"1/LOOKUP(2,1/C240:W240)","v":4.6953699999999996}]
["Venezuela, RB","","..","..","..","..","..","..","..",3.66906,3.6273200000000001,"..",6.8746700000000001,"..","..","..","..","..","..","..","..","..","..",{"$f":"LOOKUP(2,1/C241:W241,$C$6:$W$6)","v":"2009"},{"$f":"1/LOOKUP(2,1/C241:W241)","v":6.8746700000000001}]
["Vietnam","","..","..","..","..","..","..","..","..","..",4.8867399999999996,4.8164999999999996,5.1372200000000001,4.81372,5.53329,5.6520000000000001,"..","..",4.3448099999999998,"..",4.1727699999999999,"..",{"$f":"LOOKUP(2,1/C242:W242,$C$6:$W$6)","v":2018},{"$f":"1/LOOKUP(2,1/C242:W242)","v":4.1727699999999999}]
["Wallis and Futuna Islands","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Western Sahara","","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..","..",".."]
["Yemen, Rep.","","..",9.6455199999999994,9.23766,"..","..","..","..","..","..",5.1514300000000004,"..","..","..","..","..","..","..","..","..","..","..",{"$f":"LOOKUP(2,1/C245:W245,$C$6:$W$6)","v":"2008"},{"$f":"1/LOOKUP(2,1/C245:W245)","v":5.1514300000000004}]
["Zambia","",1.77495,1.7881899999999999,"..","..","..",2.4634299999999998,1.73553,"..",1.2407600000000001,1.09972,"..","..","..","..","..","..",4.62432,3.7479200000000001,3.7296499999999999,4.6673799999999996,"..",{"$f":"LOOKUP(2,1/C246:W246,$C$6:$W$6)","v":2018},{"$f":"1/LOOKUP(2,1/C246:W246)","v":4.6673799999999996}]
["Zimbabwe","","..","..","..","..","..","..","..","..","..","..","..",1.54406,"..",6.0702100000000003,5.9959800000000003,6.13835,"..","..",5.6218399999999997,4.6044900000000002,"..",{"$f":"LOOKUP(2,1/C247:W247,$C$6:$W$6)","v":2018},{"$f":"1/LOOKUP(2,1/C247:W247)","v":4.6044900000000002}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,"..","..","..","..","..",null,null,"..",".."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,"..","..","..","..","..",null,null,"..",".."]
["Data extracted on 14 Apr 2020 09:33 UTC (GMT) from UIS.Stat",null,null,null,null,null,null,null,null,null,null,null,null,null,"..","..","..","..","..",null,null,"..",".."]
["Legend:"]
["+:","National Estimation"]
["a:","Category not applicable"]
["‡:","UIS Estimation"]

{"sheet":"PS_Source_WHO_GOV","index":39,"n_rows":199,"n_cols":10,"rows_kept":199,"cut":false,"hidden":false,"merged":[[4,5,4,6],[4,7,4,8],[4,3,4,4]]}
["As per MM instructions on the 30Jan2020, I am to consider only Capital for 2017 whenn Recurrent is from 2017.",null,null,null,null,null,null,null,null,"Downloaded from WHO website on 31 January 2020"]
["http://apps.who.int/nha/database/Select/Indicators/en",null,null,null,null,null,null,null,null,"and the data is saved separately in a file called WHO Data for CRII-3 GovExp.excel"]
[null,null,null,null,null,null,null,null,null,"The names of the countries in that file have not been amended. "]
["COUNTRIES WITH DATA: 191"]
["Countries",null,"Indicators","Recurrent",null,"Capital",null,"Recurrent   +   Capital",null,"Note 1"]
["Countries",null,null,"Year","Data","Year","Data","Year","Data"]
["Afghanistan","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",4.9875851899999999,"2017",1.03104394,2017,{"$f":"E7+G7","v":6.0186291299999999}]
["Albania","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",14.76075745,null,null,2017,{"$f":"E8+G8","v":14.76075745}]
["Algeria","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.73546767,null,null,2017,10.73546767]
["Andorra","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",14.017555830000001,null,null,2017,14.017555830000001]
["Angola","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",5.5662731700000005,null,null,2017,5.5662731700000005]
["Antigua and Barbuda","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.48342989,null,null,2017,9.48342989,"Last Capital data 2016"]
["Argentina","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",16.160691910000001,null,null,2017,16.160691910000001]
["Armenia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",5.6456412899999995,null,null,2017,5.6456412899999995,"Last Capital data 2016"]
["Australia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",16.911089280000002,null,null,2017,16.911089280000002,"Last Capital data 2015"]
["Austria","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.645702009999999,"2017",1.5563787299999998,2017,17.20208074]
["Azerbaijan","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",2.8790480399999998,null,null,2017,2.8790480399999998,"Last Capital data 2014"]
["Bahamas, The","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",11.250850029999999,null,null,2017,11.250850029999999,"Last Capital data 2007"]
["Bahrain","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.4939786900000023,null,null,2017,8.4939786900000023]
["Bangladesh","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",3.3796794899999996,null,null,2017,3.3796794899999996,"Last Capital data 2016"]
["Barbados","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.4170791500000028,null,null,2017,9.4170791500000028,"Last Spain Cap data 2003"]
["Belarus","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.65954561,null,null,2017,10.65954561,"Last Capital data 2016"]
["Belgium","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.319443530000001,null,null,2017,15.319443530000001]
["Belize","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",11.201820379999999,null,null,2017,11.201820379999999,"Last Capital data 2013"]
["Benin","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.196321020000001,null,null,2017,6.196321020000001,"Last Capital data 2015"]
["Bhutan","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.4047670700000001,"2017",2.8566155200000005,2017,11.26138259]
["Bolivia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",11.770743790000001,"2017",1.5409089,2017,13.311652690000001]
["Bosnia and Herzegovina","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.47633971,null,null,2017,15.47633971,"Last Capital data 2013"]
["Botswana","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.682932339999999,null,null,2017,15.682932339999999,"Last Capital data 2016"]
["Brazil","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.26975925,"2017",1.11108918,2017,11.38084843]
["Brunei Darussalam","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.153299979999999,null,null,2017,6.153299979999999,"Last Capital data 2007"]
["Bulgaria","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",12.034000289999998,null,null,2017,12.034000289999998,"Last Capital data 2008"]
["Burkina Faso","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.991632899999999,"2017",1.4183377500000001,2017,15.409970649999998]
["Burundi","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",16.535109959999996,null,null,2017,16.535109959999996,"Last Capital data 2016"]
["Cabo Verde","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.962684669999998,null,null,2017,10.962684669999998,"Last Capital data 2016"]
["Cambodia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.07023416,null,null,2017,6.07023416,"Last Capital data 2015"]
["Cameroon","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",4.2566442999999996,null,null,2017,4.2566442999999996,"Last Capital data 2015"]
["Canada","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",18.500128769999996,"2017",1.0268443600000001,2017,19.526973129999995]
["Central African Republic","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.6318068299999995,null,null,2017,7.6318068299999995,"Last Capital data 2016"]
["Chad","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.2742975400000001,"2017",0.6607185000000001,2017,6.9350160399999998]
["Chile","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",21.207863490000005,"2017",1.0543784,2017,22.262241890000006]
["China","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.0720809199999994,"2017",2.0013867200000002,2017,11.073467640000001]
["Colombia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",18.956464320000002,null,null,2017,18.956464320000002,"Last Capital data 2014"]
["Comoros","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",4.9660722400000008,null,null,2017,4.9660722400000008,"Last Capital data 2013"]
["Congo, Rep.","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",3.0246229699999994,"2017",0.54041757999999995,2017,3.5650405499999991]
["Congo, Dem. Rep.","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.41229925,"2017",0.89002421999999992,2017,11.302323470000001]
["Cook Islands","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",5.7203102999999995,null,null,2017,5.7203102999999995,"Last Capital data 2015"]
["Costa Rica","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",27.4406201,"2017",1.3190464499999999,2017,28.759666549999999]
["Cote d'Ivoire","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.4695994900000002,"2017",1.5453291300000001,2017,8.0149286200000009]
["Croatia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",12.363529279999998,null,null,2017,12.363529279999998,"Last Capital data 2006"]
["Cuba","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.875603859999998,null,null,2017,15.875603859999998,"Last Capital data 2016"]
["Cyprus","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.6250646799999995,null,null,2017,7.6250646799999995,"Last Capital data 2011"]
["Czech Republic","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.24369609,null,null,2017,15.24369609,"Last Capital data 2007"]
["Denmark","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",16.602342380000003,"2017",1.1869643299999999,2017,17.789306710000002]
["Djibouti","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",4.7031975399999997,null,null,2017,4.7031975399999997,"Last Capital data 2014"]
["Dominica","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.4320496500000015,null,null,2017,7.4320496500000015,"Last Capital data 2014"]
["Dominican Republic","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.591900259999999,"2017",1.8197581899999995,2017,17.411658449999997]
["Ecuador","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",12.086263259999999,"2017",0.74074242999999995,2017,12.827005689999998]
["Egypt, Arab Rep.","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",5.4428419200000011,null,null,2017,5.4428419200000011,"Last Capital data 2011"]
["El Salvador","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",19.192786339999998,null,null,2017,19.192786339999998,"Last Capital data 2016"]
["Equatorial Guinea","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",3.1254545200000003,null,null,2017,3.1254545200000003,"Last Capital data 2015"]
["Eritrea","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",3.73161992,null,null,2017,3.73161992]
["Estonia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",12.237833869999999,"2017",0.60817150000000009,2017,12.84600537]
["Eswatini","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.021537559999999,"2017",1.5952899300000003,2017,11.616827489999999]
["Ethiopia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.5534769700000002,null,null,2017,8.5534769700000002,"Last Capital data 2014"]
["Fiji","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.2529898799999986,"2017",1.0496780100000001,2017,8.3026678899999986]
["Finland","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",12.768949259999999,"2017",0.90512594000000013,2017,13.674075199999999]
["France","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",16.729481500000002,"2017",1.00658029,2017,17.736061790000001]
["Gabon","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.7329935299999981,"2017",0.72511986000000006,2017,10.458113389999998]
["Gambia, The","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",5.4951797700000009,null,null,2017,5.4951797700000009,"Last Capital data 2015"]
["Georgia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.5572546200000001,null,null,2017,9.5572546200000001,"Last Capital data 2016"]
["Germany","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",21.596789640000004,null,null,2017,{"$f":"E72+G72","v":21.596789640000004}]
["Ghana","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.3978876499999995,null,null,2017,7.3978876499999995,"Last Capital data 2016"]
["Greece","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.33807474,null,null,2017,10.33807474,"Last Capital data 2008"]
["Grenada","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.1937462900000018,null,null,2017,9.1937462900000018,"Last Capital data 2014"]
["Guatemala","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",16.644851989999999,"2017",0.50859737000000016,2017,17.15344936]
["Guinea","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.3703286400000012,null,null,2017,7.3703286400000012,"Last Capital data 2016"]
["Guinea-Bissau","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",5.3460802599999999,"2017",0.96927182999999995,2017,6.3153520900000002]
["Guyana","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.9822354299999994,null,null,2017,8.9822354299999994]
["Haiti","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",5.8845788900000002,"2017",2.3627218499999998,2017,8.24730074]
["Honduras","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",12.975671550000001,"2017",0.79801659999999996,2017,13.773688150000002]
["Hungary","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.14533905,null,null,2017,10.14533905,"Last Capital data 2015"]
["Iceland","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.73937476,"2017",0.55523442000000001,2017,16.294609180000002]
["India","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",3.4168161999999995,null,null,2017,3.4168161999999995,"Last Capital data 2016"]
["Indonesia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.8602722299999979,"2017",1.23797022,2017,10.098242449999997]
["Iran (Islamic Republic of)","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",20.802073819999997,null,null,2017,20.802073819999997,"Last Capital data 2014"]
["Iraq","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",4.9852778799999999,null,null,2017,4.9852778799999999,"Last Capital data 2013"]
["Ireland","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",20.042751490000004,"2017",1.3601686499999999,2017,21.402920140000003]
["Israel","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",11.927703259999998,null,null,2017,11.927703259999998,"Last Capital data 2014"]
["Italy","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.421737160000001,null,null,2017,13.421737160000001]
["Jamaica","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.653654560000001,null,null,2017,13.653654560000001]
["Japan","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",23.644291289999995,null,null,2017,23.644291289999995]
["Jordan","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.807696590000001,null,null,2017,13.807696590000001]
["Kazakhstan","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.8879483200000013,null,null,2017,7.8879483200000013,"Last Capital data 2016"]
["Kenya","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.1924979700000016,null,null,2017,9.1924979700000016,"Last Capital data 2016"]
["Kiribati","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.6184258299999996,null,null,2017,7.6184258299999996,"Last Capital data 2016"]
["Korea, Rep.","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.76420266,null,null,2017,13.76420266]
["Kuwait","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.9202915499999982,null,null,2017,8.9202915499999982]
["Kyrgyz Republic","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.8844592600000016,"2017",1.2903995099999999,2017,8.1748587700000019]
["Lao PDR","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",4.4496761699999992,"2017",0.90056418000000016,2017,5.3502403499999991]
["Latvia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.0312227900000011,null,null,2017,9.0312227900000011,"Last Capital 2012"]
["Lebanon","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.207925979999999,null,null,2017,13.207925979999999]
["Lesotho","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",12.834298819999997,null,null,2017,12.834298819999997,"Last Capital data 2015"]
["Liberia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.7549770899999997,null,null,2017,7.7549770899999997,"Last Capital data 2016"]
["Libya","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2011",6.4201941299999987,null,null,2011,6.4201941299999987,"Lybia no capital data"]
["Lithuania","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",12.977859279999999,null,null,2017,12.977859279999999,"Last Capital data 2015"]
["Luxembourg","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.690693510000001,null,null,2017,10.690693510000001,"Last Capital data 2010"]
["Madagascar","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",17.217126830000002,null,null,2017,17.217126830000002,"Last Capital 2012"]
["Malawi","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.802822639999999,null,null,2017,15.802822639999999,"Last Capital data 2015"]
["Malaysia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.94791004,null,null,2017,8.94791004,"Last Capital data 2016"]
["Maldives","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",21.605463890000003,"2017",6.5638806200000008,2017,28.169344510000002]
["Mali","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.2660343699999999,null,null,2017,7.2660343699999999,"Last Capital data 2016"]
["Malta","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",16.476176339999999,"2017",0.53944689000000001,2017,17.015623229999999]
["Marshall Islands","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",20.647695589999998,null,null,2017,20.647695589999998]
["Mauritania","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.9764065099999995,"2017",1.60650132,2017,8.5829078299999999]
["Mauritius","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.058681930000001,null,null,2017,10.058681930000001,"Last Capital data 2014"]
["Mexico","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",11.048610270000001,null,null,2017,11.048610270000001,"Last Capital data 2010"]
["Micronesia (Federated States of)","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",18.334744870000002,"2017",0.61212507000000005,2017,18.946869940000003]
["Moldova","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",11.76,2017,0.56000000000000005,2016,12.32]
["Monaco","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.7499064700000018,null,null,2017,6.7499064700000018,"Last Capital data 2015"]
["Mongolia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.4585360299999994,"2017",1.5008318300000003,2017,9.9593678600000004]
["Morocco","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.8595739899999995,null,null,2017,7.8595739899999995,"Last Capital data 2015"]
["Mozambique","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.3495129599999984,null,null,2017,8.3495129599999984]
["Myanmar","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",4.0615922099999997,"2017",1.79416358,2017,5.8557557899999999]
["Namibia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",11.096450959999997,"2017",0.75671350999999987,2017,11.853164469999996]
["Nauru","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.9545762399999997,"2017",0.90968021999999993,2017,7.86425646]
["Nepal","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",5.061810229999999,"2017",1.9818849699999999,2017,7.0436951999999984]
["Netherlands","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",19.379758349999999,null,null,2017,19.379758349999999,"Last Capital data 2004"]
["New Zealand","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",20.088613970000001,null,null,2017,20.088613970000001]
["Nicaragua","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",20.44548704,"2017",1.8968068500000002,2017,22.342293890000001]
["Niger","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.098250359999998,"2017",1.2396387600000001,2017,14.337889119999998]
["Nigeria","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",4.6965709000000002,"2017",1.1365198400000001,2017,5.8330907400000003]
["Niue","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.0976725200000015,null,null,2017,6.0976725200000015,"Last Capital data 2011"]
["North Macedonia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",12.93,"2017",0.77521991000000001,2017,{"$f":"E134+G134","v":13.70521991}]
["Norway","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",17.877356630000001,"2017",0.98994483,2017,18.86730146]
["Oman","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.5657348999999998,null,null,2017,{"$f":"E136+G136","v":7.5657348999999998}]
["Pakistan","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",4.09305465,null,null,2017,4.09305465,"Last Capital data 2016"]
["Palau","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",24.917507919999998,"2017",0.5603960400000001,2017,25.477903959999999]
["Panama","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",20.226464750000002,"2017",2.8414173300000005,2017,23.067882080000004]
["Papua New Guinea","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.2806099199999998,"2017",0.59993699,2017,9.8805469099999996]
["Paraguay","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.491891659999999,"2017",0.70408473999999999,2017,11.195976399999999]
["Peru","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.008876069999999,"2017",1.5400918699999997,2017,16.548967940000001]
["Philippines","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.8169153699999994,"2017",0.88829153000000005,2017,8.7052069000000003]
["Poland","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",11.027431419999997,null,null,2017,11.027431419999997,"Last Capital 2012"]
["Portugal","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.02494723,null,null,2017,13.02494723]
["Qatar","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.2929834399999987,null,null,2017,6.2929834399999987,"Last Capital data 2013"]
["Romania","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",12.063193010000001,null,null,2017,12.063193010000001,"Last Capital data 2014"]
["Russian Federation","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.7835606299999984,null,null,2017,8.7835606299999984,"Last Capital data 2013"]
["Rwanda","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",17.86511969,null,null,2017,17.86511969,"Last Capital data 2006"]
["Saint Kitts and Nevis","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.1529385599999991,"2017",0.78522568000000015,2017,8.938164239999999]
["Samoa","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",12.682880030000002,null,null,2017,12.682880030000002,"Last Capital data 2015"]
["San Marino","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",12.158650470000001,null,null,2017,12.158650470000001]
["Sao Tome and Principe","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",11.935566839999998,"2017",0.75838408000000002,2017,12.693950919999999]
["Saudi Arabia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2016",10.06431703,null,0,2016,10.06431703,"Saudi Arabia no Capital data"]
["Senegal","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.9694239400000004,null,null,2017,6.9694239400000004,"Last Capital data 2016"]
["Serbia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",11.939041100000001,null,null,2017,11.939041100000001,"Last Capital data 2014"]
["Seychelles","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.179439829999998,"2017",7.7131063900000001,2017,17.89254622]
["Sierra Leone","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.569937020000003,null,null,2017,15.569937020000003]
["Singapore","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.785853510000001,"2017",1.8508663000000003,2017,15.636719810000001]
["Slovak Republic","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.40909557,null,null,2016,13.40909557,"Last Capital data 2013"]
["Slovenia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.692948289999999,null,null,2017,13.692948289999999,"Last Capital data 2013"]
["Solomon Islands","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.8778877900000008,"2017",0.55899340000000008,2017,9.4368811900000011]
["South Africa","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.636970269999999,null,null,2017,10.636970269999999,"Last Capital data 2015"]
["South Sudan","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",2.1074091099999999,"2017",1.34564595,2017,3.4530550599999996]
["Spain","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.28467391,null,null,2017,15.28467391,"Last Spain Capital data 2012"]
["Sri Lanka","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.7361994800000016,"2017",2.0795084500000001,2017,10.815707930000002]
["St. Lucia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.9659526900000017,"2017",1.01392087,2017,9.9798735600000015]
["St. Vincent and the Grenadines","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.6027546200000025,"2017",2.4653945199999998,2017,12.068149140000003]
["Sudan","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.4454083400000002,null,null,2017,8.4454083400000002,"Last Capital data 2013"]
["Suriname","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.386609980000003,null,null,2017,13.386609980000003]
["Sweden","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",18.694883179999998,"2017",1.1366146800000001,2017,19.831497859999999]
["Switzerland","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",22.992303459999999,null,null,2017,22.992303459999999]
["Syrian Arab Republic","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2012",4.4833831699999989,null,null,2012,4.4833831699999989]
["Tajikistan","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.7389407000000006,null,null,2017,6.7389407000000006,"Last Capital data 2015"]
["Tanzania","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.390244089999999,null,null,2017,15.390244089999999,"Last Capital data 2014"]
["Thailand","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.601522919999999,null,null,2017,15.601522919999999,"Last Capital data 2016"]
["Timor-Leste","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.8101769700000006,"2017",0.57653061000000005,2017,7.3867075800000004]
["Togo","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.0354577299999992,null,null,2017,8.0354577299999992,"Last Capital data 2009"]
["Tonga","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.7784554999999997,null,null,2017,9.7784554999999997,"Last Capital data 2013"]
["Trinidad and Tobago","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",11.188367979999999,"2017",0.50425565000000006,2017,11.692623629999998]
["Tunisia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.723023530000001,null,null,2017,13.723023530000001,"Last Capital data 2014"]
["Turkey","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.6890141200000013,null,null,2017,9.6890141200000013,"Last Capital data 2016"]
["Turkmenistan","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",8.7144186000000019,null,null,2017,8.7144186000000019]
["Tuvalu","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",13.694108080000001,null,null,2017,13.694108080000001,"Last Capital data 2016"]
["Uganda","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.4700004299999989,null,null,2017,6.4700004299999989,"Last Capital data 2015"]
["Ukraine","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.5279057399999996,"2017",0.74447622999999985,2017,8.2723819699999996]
["United Arab Emirates","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",7.8905010099999995,0,0,2017,7.8905010099999995]
["United Kingdom","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",18.5955081,"2017",0.74972536999999995,2017,19.34523347]
["United States","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",38.000150430000005,"2017",1.5809783000000002,2017,39.581128730000003]
["Uruguay","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",18.537972789999998,"2017",0.57470069000000001,2017,19.112673479999998]
["Uzbekistan","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.565577709999999,0,0,2017,10.565577709999999]
["Vanuatu","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",6.8395699700000012,null,null,2017,6.8395699700000012,"Last Capital data 2007"]
["Venezuela, RB","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",1.3712452899999998,null,null,2017,1.3712452899999998,"Last Capital data 2014"]
["Vietnam","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",9.8194713799999995,"2017",1.20281197,2017,11.022283349999999]
["Yemen, Rep.","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2015",3.1729955999999997,null,null,2015,3.1729955999999997,"Yemen no capital data"]
["Zambia","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",10.014248490000003,null,null,2017,10.014248490000003,"Last Capital data 2011"]
["Zimbabwe","Government schemes and compulsory contributory health care financing schemes","% General government expenditure (GGE)","2017",15.720450809999997,null,null,2017,15.720450809999997,"Last Capital data 2010"]
[]
[null,null,null,null,null,null,null,null,{"$f":"SUM(I7:I198)","v":2241.4353269499998}]

{"sheet":"PS_Source_WHO_GDP20","index":40,"n_rows":198,"n_cols":17,"rows_kept":198,"cut":false,"hidden":false,"merged":[[4,3,4,4],[4,5,4,6],[4,7,4,8]]}
["WHO GDP Gov Exp plus GDP Capital",null,null,null,null,null,null,"If the GDP Gov Schemes is 2017 and GDP Capital is another year, consider ZERO as Capital GDP and take only GDP Recurrent as per MM instructions on 30/1/2020"]
["http://apps.who.int/nha/database/Select/Indicators/en",null,null,null,null,null,null,null,null,null,null,null,null,"Downloaded from WHO website on 31 January 2020"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"and the data is saved separately in a file called WHO Data for CRII-3 %GDP.excel"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"As per MM instructions on the 30Jan2020, I am to consider only Capital for 2017 when Recurrent is from 2017."]
["COUNTRIES WITH DATA: 184",null,null,"GDP Recurrent",null,"GDP Capital",null,"GDP Health TOTAL",null,null,"Last Capital data"]
["Countries","Indicators","Indicators","YEAR","DATA","YEAR","DATA","YEAR","DATA",null,"YEAR","DATA"]
["Afghanistan","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.2906952600000001,null,null,{"$f":"D7","v":"2017"},{"$f":"E7+G7","v":1.2906952600000001},null,"2007",0.75308653000000003,null,"2017",1.2906952600000001,{"$f":"D7-N7","v":0},{"$f":"E7-O7","v":0}]
["Albania","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.3014087200000013,null,null,{"$f":"D8","v":"2017"},{"$f":"E8+G8","v":4.3014087200000013},null,null,null,null,"2017",4.3014087200000013,{"$f":"D8-N8","v":0},{"$f":"E8-O8","v":0}]
["Algeria","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.2046906800000006,null,null,"2017",4.2046906800000006,null,null,null,null,"2017",4.2046906800000006,0,0]
["Andorra","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.0603727400000009,null,null,"2017",5.0603727400000009,null,null,null,null,"2017",5.0603727400000009,0,0]
["Angola","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.3246885699999997,null,null,"2017",1.3246885699999997,null,null,null,null,"2017",1.3246885699999997,0,0]
["Antigua and Barbuda","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.1334242600000008,null,null,"2017",2.1334242600000008,null,null,null,null,"2017",2.1334242600000008,0,0]
["Argentina","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",6.6539703200000009,null,null,"2017",6.6539703200000009,null,null,null,null,"2017",6.6539703200000009,0,0]
["Armenia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.4693701699999999,null,null,"2017",1.4693701699999999,null,"2009",0.50976398000000001,null,"2017",1.4693701699999999,0,0]
["Australia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",6.0281705399999996,null,null,"2017",6.0281705399999996,null,"2015",0.61388496999999997,null,"2017",6.0281705399999996,0,0]
["Austria","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",7.6937182599999998,"2017",0.76534369999999996,"2017",8.4590619599999997,null,null,null,null,"2017",7.6937182599999998,0,0]
["Azerbaijan","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.0280174000000002,null,null,"2017",1.0280174000000002,null,"2004",0.58616646999999988,null,"2017",1.0280174000000002,0,0]
["Bahamas, The","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.5263995600000007,null,null,"2017",2.5263995600000007,null,null,null,null,"2017",2.5263995600000007,0,0]
["Bahrain","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.7529084999999998,null,null,"2017",2.7529084999999998,null,null,null,null,"2017",2.7529084999999998,0,0]
["Bangladesh","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2012",0.52669614000000009,null,null,"2012",0.52669614000000009,null,null,null,null,"2012",0.52669614000000009,0,0]
["Barbados","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.1075700599999996,null,null,"2017",3.1075700599999996,null,null,null,null,"2017",3.1075700599999996,0,0]
["Belarus","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.1616862699999997,null,null,"2017",4.1616862699999997,null,"2015",1.8307196100000003,null,"2017",4.1616862699999997,0,0]
["Belgium","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",7.986142179999999,null,null,"2017",7.986142179999999,null,null,null,null,"2017",7.986142179999999,0,0]
["Belize","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.9093601299999996,null,null,"2017",3.9093601299999996,null,null,null,null,"2017",3.9093601299999996,0,0]
["Benin","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.51008199,null,null,"2017",1.51008199,null,"2014",0.68971435000000003,null,"2017",1.51008199,0,0]
["Bhutan","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.5264337399999994,"2017",0.85868529000000005,"2017",3.3851190299999994,null,null,null,null,"2017",2.5264337399999994,0,0]
["Bolivia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.5102917399999995,"2017",0.59044260999999998,"2017",5.1007343499999998,null,null,null,null,"2017",4.5102917399999995,0,0]
["Bosnia and Herzegovina","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",6.2958949499999992,null,null,"2017",6.2958949499999992,null,"2012",0.61333180999999981,null,"2017",6.2958949499999992,0,0]
["Botswana","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.0847490200000012,null,null,"2017",5.0847490200000012,null,"2009",1.1968231899999997,null,"2017",5.0847490200000012,0,0]
["Brazil","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.9705123800000002,null,null,"2017",3.9705123800000002,null,"2009",0.82579828000000022,null,"2017",3.9705123800000002,0,0]
["Brunei Darussalam","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.2503560100000004,null,null,"2017",2.2503560100000004,null,null,null,null,"2017",2.2503560100000004,0,0]
["Bulgaria","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.2160476999999998,null,null,"2017",4.2160476999999998,null,null,null,null,"2017",4.2160476999999998,0,0]
["Burkina Faso","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.1931524000000007,null,null,"2017",4.1931524000000007,null,"2012",0.61244172000000008,null,"2017",4.1931524000000007,0,0]
["Burundi","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.60508468,null,null,"2017",3.60508468,null,"2013",0.79060470999999977,null,"2017",3.60508468,0,0]
["Cabo Verde","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.4616774599999998,null,null,"2017",3.4616774599999998,null,"2015",0.80592819999999998,null,"2017",3.4616774599999998,0,0]
["Cambodia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.4068201800000002,null,null,"2017",1.4068201800000002,null,"2010",1.09052642,null,"2017",1.4068201800000002,0,0]
["Cameroon","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",0.84397242000000006,null,null,"2017",0.84397242000000006,null,null,null,null,"2017",0.84397242000000006,0,0]
["Canada","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",7.4602880000000003,null,null,"2017",7.4602880000000003,null,"2012",0.56425636000000001,null,"2017",7.4602880000000003,0,0]
["Central African Republic","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.13154607,null,null,"2017",1.13154607,null,"2014",0.69432959999999988,null,"2017",1.13154607,0,0]
["Chad","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",0.95118855999999996,null,null,"2017",0.95118855999999996,null,"2011",0.64556630999999998,null,"2017",0.95118855999999996,0,0]
["Chile","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.3785574199999999,null,null,"2017",5.3785574199999999,null,null,null,null,"2017",5.3785574199999999,0,0]
["China","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.9193503700000001,"2017",0.64403626000000003,"2017",3.5633866300000001,null,null,null,null,"2017",2.9193503700000001,0,0]
["Colombia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.3114886400000003,null,null,"2017",5.3114886400000003,null,"2014",0.86036721000000005,null,"2017",5.3114886400000003,0,0]
["Comoros","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.3892560500000002,null,null,"2017",1.3892560500000002,null,"2013",0.84029128999999991,null,"2017",1.3892560500000002,0,0]
["Congo, Rep.","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.06236358,null,null,"2017",1.06236358,null,"2014",3.5064575299999996,null,"2017",1.06236358,0,0]
["Congo, Dem. Rep.","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.8387861899999995,null,null,"2017",2.8387861899999995,null,null,null,null,"2017",2.8387861899999995,0,0]
["Cook Islands","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.4941715500000008,null,null,"2017",5.4941715500000008,null,null,null,null,"2017",5.4941715500000008,0,0]
["Costa Rica","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.6090904599999998,null,null,"2017",1.6090904599999998,null,null,null,null,"2017",1.6090904599999998,0,0]
["Cote d'Ivoire","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.6032781700000012,null,null,"2017",5.6032781700000012,null,"2016",0.54377887000000003,null,"2017",5.6032781700000012,0,0]
["Croatia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",10.475282419999999,null,null,"2017",10.475282419999999,null,null,null,null,"2017",10.475282419999999,0,0]
["Cuba","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.8500613300000004,null,null,"2017",2.8500613300000004,null,"2006",0.50286841000000004,null,"2017",2.8500613300000004,0,0]
["Cyprus","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.9364939500000009,null,null,"2017",5.9364939500000009,null,"2003",0.55273134999999995,null,"2017",5.9364939500000009,0,0]
["Czech Republic","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.2380642499999999,null,null,"2017",1.2380642499999999,null,null,null,null,"2017",1.2380642499999999,0,0]
["Denmark","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",8.4933842699999982,"2017",0.60722419999999999,"2017",9.1006084699999974,null,null,null,null,"2017",8.4933842699999982,0,0]
["Djibouti","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.8033579300000002,null,null,"2017",1.8033579300000002,null,"2014",0.52253440999999989,null,"2017",1.8033579300000002,0,0]
["Dominica","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.9026972,null,null,"2017",3.9026972,null,"2013",0.59666209000000003,null,"2017",3.9026972,0,0]
["Dominican Republic","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.8217406100000004,null,null,"2017",2.8217406100000004,null,"2003",1.2406256599999999,null,"2017",2.8217406100000004,0,0]
["Ecuador","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.4214475000000011,null,null,"2017",4.4214475000000011,null,"2014",0.73825767000000009,null,"2017",4.4214475000000011,0,0]
["Egypt, Arab Rep.","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.7520461099999998,null,null,"2017",1.7520461099999998,null,null,null,null,"2017",1.7520461099999998,0,0]
["El Salvador","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.59493537,null,null,"2017",4.59493537,null,"2016",2.0576302100000001,null,"2017",4.59493537,0,0]
["Equatorial Guinea","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",0.62133971999999993,null,null,"2017",0.62133971999999993,null,"2014",0.51100554999999992,null,"2017",0.62133971999999993,0,0]
["Eritrea","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.0902576700000002,null,null,"2017",1.0902576700000002,null,null,null,null,"2017",1.0902576700000002,0,0]
["Estonia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.8058211500000008,null,null,"2017",4.8058211500000008,null,"2015",0.6120469999999999,null,"2017",4.8058211500000008,0,0]
["Eswatini","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.51731931,"2017",0.55990850000000003,"2017",4.0772278100000001,null,null,null,null,"2017",3.51731931,0,0]
["Ethiopia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.5607375600000002,null,null,"2017",1.5607375600000002,null,null,null,null,"2017",1.5607375600000002,0,0]
["Fiji","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.34805917,null,null,"2017",2.34805917,null,null,null,null,"2017",2.34805917,0,0]
["Finland","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",6.91931824,null,null,"2017",6.91931824,null,null,null,null,"2017",6.91931824,0,0]
["France","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",9.432507949999998,"2017",0.56753562000000002,"2017",10.000043569999997,null,null,null,null,"2017",9.432507949999998,0,0]
["Gabon","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.7630425999999999,null,null,"2017",1.7630425999999999,null,2015,0.56999999999999995,null,"2017",1.7630425999999999,0,0]
["Gambia, The","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.3490183500000004,null,null,"2017",1.3490183500000004,null,null,null,null,"2017",1.3490183500000004,0,0]
["Georgia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.8403836500000001,null,null,"2017",2.8403836500000001,null,"2015",0.53756223999999997,null,"2017",2.8403836500000001,0,0]
["Germany","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",9.4881519800000014,null,null,{"$f":"D72","v":"2017"},{"$f":"E72+G72","v":9.4881519800000014},null,null,null,null,"2017",9.4881519800000014,{"$f":"D72-N72","v":0},{"$f":"E72-O72","v":0}]
["Ghana","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.3317702299999998,null,null,"2017",1.3317702299999998,null,null,null,null,"2017",1.3317702299999998,0,0]
["Greece","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.8918642000000014,null,null,"2017",4.8918642000000014,null,null,null,null,"2017",4.8918642000000014,0,0]
["Grenada","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.0756173800000002,null,null,"2017",2.0756173800000002,null,"2014",0.66128809000000022,null,"2017",2.0756173800000002,0,0]
["Guatemala","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.0152693800000003,null,null,"2017",2.0152693800000003,null,null,null,null,"2017",2.0152693800000003,0,0]
["Guinea","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.2691289099999998,null,null,"2017",1.2691289099999998,null,"2015",0.53523794999999996,null,"2017",1.2691289099999998,0,0]
["Guinea-Bissau","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.0539767799999999,null,null,"2017",1.0539767799999999,null,"2011",0.67605834999999981,null,"2017",1.0539767799999999,0,0]
["Guyana","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.1142387800000004,null,null,"2017",3.1142387800000004,null,null,null,null,"2017",3.1142387800000004,0,0]
["Haiti","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.0700998500000001,null,null,"2017",1.0700998500000001,null,"2013",0.86511563000000002,null,"2017",1.0700998500000001,0,0]
["Honduras","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.4903521,null,null,"2017",3.4903521,null,null,null,null,"2017",3.4903521,0,0]
["Hungary","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.7611876500000001,null,null,"2017",4.7611876500000001,null,null,null,null,"2017",4.7611876500000001,0,0]
["Iceland","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",6.8132853400000002,null,null,"2017",6.8132853400000002,null,null,null,null,"2017",6.8132853400000002,0,0]
["India","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",0.97097684999999989,null,null,"2017",0.97097684999999989,null,null,null,null,"2017",0.97097684999999989,0,0]
["Indonesia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.4677234399999999,null,null,"2017",1.4677234399999999,null,"2008",1.6147574400000004,null,"2017",1.4677234399999999,0,0]
["Iran (Islamic Republic of)","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.0249568299999998,null,null,"2017",4.0249568299999998,null,null,null,null,"2017",4.0249568299999998,0,0]
["Iraq","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.7447778699999996,null,null,"2017",1.7447778699999996,null,"2013",11.52558251,null,"2017",1.7447778699999996,0,0]
["Ireland","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.2657144099999993,null,null,"2017",5.2657144099999993,null,"2013",0.59136659000000003,null,"2017",5.2657144099999993,0,0]
["Israel","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.7130043300000004,null,null,"2017",4.7130043300000004,null,null,null,null,"2017",4.7130043300000004,0,0]
["Italy","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",6.5327201900000009,null,null,"2017",6.5327201900000009,null,null,null,null,"2017",6.5327201900000009,0,0]
["Jamaica","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.9727507500000003,null,null,"2017",3.9727507500000003,null,null,null,null,"2017",3.9727507500000003,0,0]
["Japan","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",9.1963012300000013,null,null,"2017",9.1963012300000013,null,null,null,null,"2017",9.1963012300000013,0,0]
["Jordan","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.0530221000000006,null,null,"2017",4.0530221000000006,null,null,null,null,"2017",4.0530221000000006,0,0]
["Kazakhstan","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.94483447,null,null,"2017",1.94483447,null,"2013",0.71857769999999987,null,"2017",1.94483447,0,0]
["Kenya","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.3638175499999994,null,null,"2017",2.3638175499999994,null,null,null,null,"2017",2.3638175499999994,0,0]
["Kiribati","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",9.0665563599999981,null,null,"2017",9.0665563599999981,null,"2016",2.9113466699999995,null,"2017",9.0665563599999981,0,0]
["Korea, Rep.","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.4763681899999996,null,null,"2017",4.4763681899999996,null,null,null,null,"2017",4.4763681899999996,0,0]
["Kuwait","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.6238603499999993,null,null,"2017",4.6238603499999993,null,null,null,null,"2017",4.6238603499999993,0,0]
["Kyrgyz Republic","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.6120729300000001,null,null,"2017",2.6120729300000001,null,"2002",0.84254382000000005,null,"2017",2.6120729300000001,0,0]
["Lao PDR","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",0.97754468000000005,null,null,"2017",0.97754468000000005,null,"2009",1.06680602,null,"2017",0.97754468000000005,0,0]
["Latvia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.4143327999999991,null,null,"2017",3.4143327999999991,null,"2012",0.54091275000000016,null,"2017",3.4143327999999991,0,0]
["Lebanon","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.01017359,null,null,"2017",4.01017359,null,null,null,null,"2017",4.01017359,0,0]
["Lesotho","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.9863773300000007,null,null,"2017",5.9863773300000007,null,"2015",0.72211079,null,"2017",5.9863773300000007,0,0]
["Liberia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.5881409500000001,null,null,"2017",2.5881409500000001,null,null,null,null,"2017",2.5881409500000001,0,0]
["Libya","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2011",3.8297275100000006,null,null,"2011",3.8297275100000006,null,null,null,null,"2011",3.8297275100000006,0,0]
["Lithuania","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.2942979899999996,null,null,"2017",4.2942979899999996,null,null,null,null,"2017",4.2942979899999996,0,0]
["Luxembourg","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.6058385099999999,null,null,"2017",4.6058385099999999,null,"2008",0.65500470999999982,null,"2017",4.6058385099999999,0,0]
["Madagascar","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.9564343700000006,null,null,"2017",2.9564343700000006,null,null,null,null,"2017",2.9564343700000006,0,0]
["Malawi","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.7799075099999992,null,null,"2017",4.7799075099999992,null,null,null,null,"2017",4.7799075099999992,0,0]
["Malaysia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.95682723,null,null,"2017",1.95682723,null,"2003",0.62596452000000014,null,"2017",1.95682723,0,0]
["Maldives","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",6.4014692899999996,"2017",1.9448080600000002,"2017",8.3462773499999994,null,null,null,null,"2017",6.4014692899999996,0,0]
["Mali","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.6646249799999999,null,null,"2017",1.6646249799999999,null,null,null,null,"2017",1.6646249799999999,0,0]
["Malta","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.8911985800000002,null,null,"2017",5.8911985800000002,null,"2016",0.82437803000000009,null,"2017",5.8911985800000002,0,0]
["Marshall Islands","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",13.50041635,null,null,"2017",13.50041635,null,null,null,null,"2017",13.50041635,0,0]
["Mauritania","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.96500619,null,null,"2017",1.96500619,null,"2016",3.3401991800000004,null,"2017",1.96500619,0,0]
["Mauritius","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.4736356100000001,null,null,"2017",2.4736356100000001,null,"2011",0.59597379000000006,null,"2017",2.4736356100000001,0,0]
["Mexico","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.8417058800000001,null,null,"2017",2.8417058800000001,null,null,null,null,"2017",2.8417058800000001,0,0]
["Micronesia (Federated States of)","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",11.819091739999999,null,null,"2017",11.819091739999999,null,"2011",0.57125762999999996,null,"2017",11.819091739999999,0,0]
["Moldova","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.6053229199999999,null,null,"2017",3.6053229199999999,null,"2014",0.93443310999999996,null,"2017",3.6053229199999999,0,0]
["Monaco","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.4129148300000003,null,null,"2017",1.4129148300000003,null,null,null,null,"2017",1.4129148300000003,0,0]
["Mongolia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.5616439099999999,null,null,"2017",2.5616439099999999,null,"2011",0.56031449999999994,null,"2017",2.5616439099999999,0,0]
["Morocco","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.3617824000000001,null,null,"2017",2.3617824000000001,null,null,null,null,"2017",2.3617824000000001,0,0]
["Mozambique","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.64154293,null,null,"2017",2.64154293,null,null,null,null,"2017",2.64154293,0,0]
["Myanmar","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",0.80193982000000008,null,null,"2017",0.80193982000000008,null,"2014",0.5088769099999999,null,"2017",0.80193982000000008,0,0]
["Namibia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.1101739799999999,null,null,"2017",4.1101739799999999,null,null,null,null,"2017",4.1101739799999999,0,0]
["Nauru","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",9.8518277900000015,"2017",1.2886497400000001,"2017",11.140477530000002,null,null,null,null,"2017",9.8518277900000015,0,0]
["Nepal","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.3930723899999999,"2017",0.54543909999999995,"2017",1.9385114899999998,null,null,null,null,"2017",1.3930723899999999,0,0]
["Netherlands","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",8.236912659999998,null,null,"2017",8.236912659999998,null,"2004",0.81562709000000011,null,"2017",8.236912659999998,0,0]
["New Zealand","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",7.2064917000000008,null,null,"2017",7.2064917000000008,null,null,null,null,"2017",7.2064917000000008,0,0]
["Nicaragua","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.5144555799999999,"2017",0.51159735999999989,"2017",6.0260529399999996,null,null,null,null,"2017",5.5144555799999999,0,0]
["Niger","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.5113954899999995,null,null,"2017",3.5113954899999995,null,"2015",0.53346700000000002,null,"2017",3.5113954899999995,0,0]
["Nigeria","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",0.54366903,null,null,"2017",0.54366903,null,null,null,null,"2017",0.54366903,0,0]
["Niue","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",7.2841453499999984,null,null,"2017",7.2841453499999984,null,"2011",0.76886874999999999,null,"2017",7.2841453499999984,0,0]
["North Macedonia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.1154719400000008,null,null,"2017",4.1154719400000008,null,"2013",0.52860083000000002,null,"2017",4.1154719400000008,0,0]
["Norway","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",8.9288075800000009,null,null,"2017",8.9288075800000009,null,"2016",0.55496497,null,"2017",8.9288075800000009,0,0]
["Oman","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.3772822299999996,null,null,{"$f":"D136","v":"2017"},{"$f":"E136+G136","v":3.3772822299999996},null,null,null,null,"2017",3.3772822299999996,{"$f":"D136-N136","v":0},{"$f":"E136-O136","v":0}]
["Pakistan","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",0.87085816999999999,null,null,"2017",0.87085816999999999,null,null,null,null,"2017",0.87085816999999999,0,0]
["Palau","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",8.6781665500000003,null,null,"2017",8.6781665500000003,null,null,null,null,"2017",8.6781665500000003,0,0]
["Panama","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.4175165399999994,"2017",0.6205735,"2017",5.0380900399999993,null,null,null,null,"2017",4.4175165399999994,0,0]
["Papua New Guinea","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.8876969800000001,null,null,"2017",1.8876969800000001,null,"2015",0.55188442999999987,null,"2017",1.8876969800000001,0,0]
["Paraguay","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.0296198500000004,null,null,"2017",3.0296198500000004,null,null,null,null,"2017",3.0296198500000004,0,0]
["Peru","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.1880905500000001,null,null,"2017",3.1880905500000001,null,"2010",0.51143511000000008,null,"2017",3.1880905500000001,0,0]
["Philippines","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.5564288199999998,null,null,"2017",1.5564288199999998,null,null,null,null,"2017",1.5564288199999998,0,0]
["Poland","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.5465924399999995,null,null,"2017",4.5465924399999995,null,null,null,null,"2017",4.5465924399999995,0,0]
["Portugal","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.9482009600000003,null,null,"2017",5.9482009600000003,null,null,null,null,"2017",5.9482009600000003,0,0]
["Qatar","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.1051663399999998,null,null,"2017",2.1051663399999998,null,null,null,null,"2017",2.1051663399999998,0,0]
["Romania","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.0567200799999998,null,null,"2017",4.0567200799999998,null,"2014",0.60811258000000001,null,"2017",4.0567200799999998,0,0]
["Russian Federation","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.0511527800000002,null,null,"2017",3.0511527800000002,null,null,null,null,"2017",3.0511527800000002,0,0]
["Rwanda","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.5375429700000005,null,null,"2017",4.5375429700000005,null,"2006",0.68022338000000004,null,"2017",4.5375429700000005,0,0]
["Saint Kitts and Nevis","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.3472425800000005,null,null,"2017",2.3472425800000005,null,"2007",0.5332992299999999,null,"2017",2.3472425800000005,0,0]
["Samoa","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.4773599000000006,null,null,"2017",4.4773599000000006,null,"2015",2.58741303,null,"2017",4.4773599000000006,0,0]
["San Marino","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",6.0125052600000002,null,null,null,null,null,null,null,null,"2017",6.0125052600000002,0,0]
["Sao Tome and Principe","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.1507991200000003,null,null,"2017",3.1507991200000003,null,"2014",0.64786410000000005,null,"2017",3.1507991200000003,0,0]
["Saudi Arabia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2016",3.8930290200000002,null,null,"2016",3.8930290200000002,null,null,null,null,"2016",3.8930290200000002,0,0]
["Senegal","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.5545626400000003,null,null,"2017",1.5545626400000003,null,null,null,null,"2017",1.5545626400000003,0,0]
["Serbia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.7917447999999991,null,null,"2017",4.7917447999999991,null,null,null,null,"2017",4.7917447999999991,0,0]
["Seychelles","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.6716488600000003,"2017",2.7820605800000004,"2017",6.4537094400000008,null,null,null,null,"2017",3.6716488600000003,0,0]
["Sierra Leone","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.6286527999999998,null,null,"2017",3.6286527999999998,null,null,null,null,"2017",3.6286527999999998,0,0]
["Singapore","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.3476941299999998,null,null,"2017",2.3476941299999998,null,null,null,null,"2017",2.3476941299999998,0,0]
["Slovak Republic","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.3899267999999996,null,null,"2017",5.3899267999999996,null,"2009",0.52830964000000002,null,"2017",5.3899267999999996,0,0]
["Slovenia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",5.9116691499999998,null,null,"2017",5.9116691499999998,null,"2009",0.62351034999999988,null,"2017",5.9116691499999998,0,0]
["Solomon Islands","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.1305182299999998,null,null,"2017",4.1305182299999998,null,"2013",1.2346264999999998,null,"2017",4.1305182299999998,0,0]
["South Africa","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.4711562000000002,null,null,"2017",3.4711562000000002,null,null,null,null,"2017",3.4711562000000002,0,0]
["South Sudan","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",0.8244937200000001,"2017",0.52646476000000009,"2017",1.3509584800000001,null,null,null,null,"2017",0.8244937200000001,0,0]
["Spain","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",6.2658672299999996,null,null,"2017",6.2658672299999996,null,null,null,null,"2017",6.2658672299999996,0,0]
["Sri Lanka","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.6879384199999996,null,null,"2017",1.6879384199999996,null,null,null,null,"2017",1.6879384199999996,0,0]
["St. Lucia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.23277357,null,null,"2017",2.23277357,null,"2012",0.77083113999999997,null,"2017",2.23277357,0,0]
["St. Vincent and the Grenadines","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.9306519999999998,"2017",0.75241050000000009,"2017",3.6830625000000001,null,null,null,null,"2017",2.9306519999999998,0,0]
["Sudan","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.16426053,null,null,"2017",1.16426053,null,null,null,null,"2017",1.16426053,0,0]
["Suriname","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.1468313099999996,null,null,"2017",4.1468313099999996,null,null,null,null,"2017",4.1468313099999996,0,0]
["Sweden","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",9.2221314899999989,"2017",0.56068871999999981,"2017",9.7828202099999988,null,null,null,null,"2017",9.2221314899999989,0,0]
["Switzerland","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",7.8522630099999988,null,null,"2017",7.8522630099999988,null,null,null,null,"2017",7.8522630099999988,0,0]
["Syrian Arab Republic","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2012",1.6190699099999997,null,null,"2012",1.6190699099999997,null,null,null,null,"2012",1.6190699099999997,0,0]
["Tajikistan","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.4012571,null,null,"2017",2.4012571,null,"2012",0.51989713000000015,null,"2017",2.4012571,0,0]
["Tanzania","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.5484456100000004,null,null,"2017",2.5484456100000004,null,null,null,null,"2017",2.5484456100000004,0,0]
["Thailand","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.9606283799999993,null,null,"2017",2.9606283799999993,null,null,null,null,"2017",2.9606283799999993,0,0]
["Timor-Leste","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.3634135300000003,null,null,"2017",3.3634135300000003,null,null,null,null,"2017",3.3634135300000003,0,0]
["Togo","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.74078749,null,null,"2017",1.74078749,null,"2009",2.1902292900000004,null,"2017",1.74078749,0,0]
["Tonga","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.0711099599999994,null,null,"2017",4.0711099599999994,null,"2013",1.0493528099999998,null,"2017",4.0711099599999994,0,0]
["Trinidad and Tobago","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.7051099700000001,null,null,"2017",3.7051099700000001,null,"2015",0.55044629000000012,null,"2017",3.7051099700000001,0,0]
["Tunisia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",4.1601655100000006,null,null,"2017",4.1601655100000006,null,null,null,null,"2017",4.1601655100000006,0,0]
["Turkey","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.2765104100000002,null,null,"2017",3.2765104100000002,null,"2008",0.54484251999999989,null,"2017",3.2765104100000002,0,0]
["Turkmenistan","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.5449904899999998,null,null,"2017",1.5449904899999998,null,null,null,null,"2017",1.5449904899999998,0,0]
["Tuvalu","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",17.053040249999999,null,null,"2017",17.053040249999999,null,"2016",2.4489795899999995,null,"2017",17.053040249999999,0,0]
["Uganda","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",1.2238753999999998,null,null,"2017",1.2238753999999998,null,"2011",0.5730029499999999,null,"2017",1.2238753999999998,0,0]
["Ukraine","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.1227387900000005,null,null,"2017",3.1227387900000005,null,null,null,null,"2017",3.1227387900000005,0,0]
["United Arab Emirates","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.3998128100000002,null,null,"2017",2.3998128100000002,null,null,null,null,"2017",2.3998128100000002,0,0]
["United Kingdom","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",7.5899101700000005,null,null,"2017",7.5899101700000005,null,"2009",0.52237392999999999,null,"2017",7.5899101700000005,0,0]
["United States","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",14.421380039999999,"2017",0.59999469999999999,"2017",15.021374739999999,null,null,null,null,"2017",14.421380039999999,0,0]
["Uruguay","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",6.1728757900000009,null,null,"2017",6.1728757900000009,null,null,null,null,"2017",6.1728757900000009,0,0]
["Uzbekistan","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.8853403800000001,null,null,"2017",2.8853403800000001,null,null,null,null,"2017",2.8853403800000001,0,0]
["Vanuatu","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.6315408900000001,null,null,"2017",2.6315408900000001,null,null,null,null,"2017",2.6315408900000001,0,0]
["Venezuela, RB","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2016",0.77406620999999998,null,null,"2016",0.77406620999999998,null,"2014",1.9281202799999999,null,"2016",0.77406620999999998,0,0]
["Vietnam","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.7874959800000001,null,null,"2017",2.7874959800000001,null,"2010",0.54454800000000003,null,"2017",2.7874959800000001,0,0]
["Yemen, Rep.","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2015",0.61386803000000001,null,null,"2015",0.61386803000000001,null,null,null,null,"2015",0.61386803000000001,0,0]
["Zambia","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",2.52235012,null,null,"2017",2.52235012,null,null,null,null,"2017",2.52235012,0,0]
["Zimbabwe","Government schemes and compulsory contributory health care financing schemes","% Gross domestic product (GDP)","2017",3.5344945400000007,null,null,"2017",3.5344945400000007,null,"2010",0.66410975000000005,null,"2017",3.5344945400000007,0,0]
[null,null,null,null,null,null,null,null,{"$f":"SUM(I7:I197)","v":754.35815935000028}]

{"sheet":"T_Source_VAT","index":41,"n_rows":171,"n_cols":14,"rows_kept":171,"cut":false,"hidden":false,"merged":[[4,2,4,4],[4,6,4,8],[17,2,17,4],[120,2,120,4],[120,6,120,8]]}
["VAT Rates & Food Exemptions"]
[]
[]
[1,2,3,4,5,6,7,8,9,10,11,12]
["Country Name","VATRate (nominal)","Lower Rates",null,null,"Zero and/or Exempt Rate","Higher Rates",null,null,"Food Exemptions / Reduced Rate?","1=Food exempt/zero rate","Rate if Food Taxed at Lower Rate","Source if not the same as VAT rate / threshold"]
["Afghanistan",{"$f":"VLOOKUP(A6,T1_VAT,4,FALSE)","v":2},null,null,null,null,5,10,null,"All gross receipts are subject to two percent with the\nfollowing exceptions:\n• Hotel services\n• Restaurant services\n• Telecommunications services\n• Airline services\n• Halls and clubs services as related to events",0]
["Albania",20,6,null,null,0,null,null,null,"None",0]
["Algeria",19,9,null,null,0,null,null,null,"Certain goods are exempt, like break and flour, pharmaceuticals, some dairy products",1,null,"https://santandertrade.com/en/portal/establish-overseas/algeria/tax-system?&actualiser_id_banque=oui&id_banque=0&memoriser_choix=memoriser"]
["Angola",14,null,null,null,0,null,null,null,"Basic foodstuffs are exempted, including rice, beans, sugar, cooking oil and school materials",1,null,"https://www.avalara.com/vatlive/en/vat-news/angola-implements-14--vat.html"]
["Antigua and Barbuda",15,12.5,null,null,0,null,null,null,"Basic food items - 0%",1,null,"as per Antigua and Barbuda Sales Tax (ABST) Registration Guide (2006) "]
["Argentina",21,10.5,null,null,0,27,null,null,"Products that will benefit from the 0% VAT rate are sunflower oil and corn oil, rice, sugar, canned fruit, canned vegetables, canned pulses, cornmeal, wheat flour, eggs, whole and skimmed milk, bread, breadcrumbs, batter, dried pasta, yerba mate, tea, and whole and skimmed yogur",1,null,"https://www.foodnavigator-latam.com/Article/2019/08/19/Argentina-announces-0-VAT-on-basic-food-products"]
["Armenia",20,null,null,null,0,null,null,null,"None",0]
["Australia",10,null,null,null,0,null,null,null,"Basic foodstuffs - exempt",1]
["Austria",20,10,13,null,0,null,null,null,"Basic foodstuffs - 10%",0,10,null,{"$f":"SUM((B14-L14)/B14)*50%","v":0.25}]
["Azerbaijan",18,null,null,null,0,null,null,null,"None",0]
["Bahamas, The",7.5,null,null,null,0,null,null,null,"Breadbasket items taxable at 0%",1]
["Bahrain",5,null,null,null,0,null,null,null,"None",0]
["Bangladesh",15,"10.0, 7.5, 5.0, 4.5,2.25 & 1.5",null,null,0,null,null,null,"About 536 primary food items, such as rice, lentils, fish, meat, vegetables, sugar, honey, puffed rice, maize, wheat, liquid milk, barley and salt - exempt",1,null,"http://29952.ey-vx.com/archive/archive-news/bangladesh--budget-2017-18---indirect-taxation.aspx"]
["Barbados",17.5,7.5,null,null,0,22,null,null,"Full list of exempt food items available from Barbados Revenue Authority",1,null,"https://bra.gov.bb/News/Press-Releases/VAT-Free-Basket-of-Goods-2015.aspx"]
["Belarus",20,10,null,null,0,25,null,null,"Sales of crops, Sales of store cattle, Sale of fish and hive products produced in Belarus, Sales and/or imports into Belarus of goods for children and food products as per the list established by the Belarusian President - 10%",0,10,null,{"$f":"SUM((B20-L20)/B20)*50%","v":0.25}]
["Belgium",21,6,12,null,0,null,null,null,"Certain foodstuffs (milk, fish, meat, fats and oils) - 6%",0,6,null,{"$f":"SUM((B21-L21)/B21)*50%","v":0.35714285714285715}]
["Belize",12.5,null,null,null,0,null,null,null,"Basic foodstuffs - exempt",1,null,"http://www.gst.gov.bz/downloads/GST-Guide.pdf"]
["Benin",18,null,null,null,0,null,null,null,"raw foodstuffs only - exempt",1,null,"http://www.impots.finances.gouv.bj/wp-content/uploads/2019/10/Plaquette-TVA-PROTEGEE.pdf"]
["Bhutan",20]
["Bolivia",13,null,null,null,0,null,null,null,"None",0]
["Botswana",12,null,null,null,0,null,null,null,"Sorghum and maize meal for human consumption.  Bread flour, sugar, brown bread, fresh fruits, rice, milk and samp (coarsely ground corn)",1]
["Brazil",24.15,null,null,null,null,null,null,null,"Oxfam Brasil confirmed no exemptions 30/07/2018",0]
["Bulgaria",20,9,null,null,0,null,null,null,"None",0]
["Burkina Faso",18,null,null,null,0,null,null,null,"Burkina Faso Tax Code 2018",1,null,"https://www.impots.gov.bf/fileadmin/user_upload/storage/fichiers/Loi-058-portant-CODE-GENERAL-DES-IMPOTS-final.pdf"]
["Burundi",18,10,null,null,0,null,null,null,"Imported foodstuffs & unprocessed agri products at lower rate",0,10,"Burundi law n ° 1/12 of July 29, 2013",{"$f":"SUM((B30-L30)/B30)*50%","v":0.22222222222222221}]
["Cabo Verde",15,null,null,null,0,null,null,null,"Transmissions of essential foodstuffs: Meat; Fish; Milk; Eggs; Vegetables; Fruits; Cereals; Vegetables; Fat; Fatty oils - exempt",1,null,"http://taxsummaries.pwc.com/ID/Cabo-Verde-Corporate-Other-taxes"]
["Cambodia",10,null,null,null,0,null,null,null,"Prakas No. 361 MEF.PrK dated 3 April 2018 (Prakas 361) provides a Value Added Tax (VAT) exemption on basic food items that are sold by Cambodian taxpayers operating under the self-assessment regime",1,null,"https://www.dfdl.com/resources/legal-and-tax-updates/cambodia-tax-alert-vat-update-essential-food-exempted/"]
["Cameroon",19.25,null,null,null,0,null,null,null,"Exemptions: essential goods according to appendix I article 128 of the CGI",1,null,"http://www.izf.net/sites/default/files/code_general_des_impots_du_cameroun_2015.pdf"]
["Canada",14,null,null,null,0,null,null,null,"Basic foodstuffs - exempt",1]
["Central African Republic",19,5,null,null,0,null,null,null,"Reduced rate of 5% on wheat flour, milk, frozen fish and refined oils.",0,5,"https://import-export.societegenerale.fr/fr/fiche-pays/republique-centrafricaine/presentation-fiscalite",{"$f":"SUM((B35-L35)/B35)*50%","v":0.36842105263157893}]
["Chad",18,null,null,null,0,null,null,null,"The Chadian government has decided to exempt essential goods in Chad from VAT and customs duties, according to a decree consulted by AFP on Saturday. This exemption applies to the following food products: flour, rice, oil and pasta",1,null,"https://www.lefigaro.fr/flash-eco/tchad-le-gouvernement-exonere-de-taxes-les-biens-de-premiere-necessite-20190512"]
["Chile",19,null,null,null,0,null,null,null,"None",0]
["China",{"$f":"VLOOKUP(A38,T1_VAT,4,FALSE)","v":16},3,5,10,0,null,null,null,"Foodstuffs - 10%",0,10,null,{"$f":"SUM((B38-L38)/B38)*50%","v":0.1875}]
["Colombia",19,5,null,null,0,null,null,null,"Basic foodstuffs - exempt",1]
["Congo, Dem. Rep.",16,null,null,null,0,null,null,null,"The import of wheat flour, corn, and corn flour; the local sale of bread, wheat flour, corn, and corn flour; the domestic sales of animals; and the import and sale of inputs for agriculture are also VAT-exempt",1,null,"http://taxsummaries.pwc.com/ID/Democratic-Republic-of-Congo-Corporate-Other-taxes"]
["Congo, Rep.",18,5,null,null,0,null,null,null,"18% Normal rate\n5% reduced rates for certain everyday consumer goods\n0% Export rate",0,5,"http://www.brazzaville.cg/fr/environnement-fiscal-au-congo",{"$f":"SUM((B41-L41)/B41)*50%","v":0.3611111111111111}]
["Costa Rica",13,1,2,4,0,null,null,null,"Goods that form part of the “average weekly shopping” (a list of items considered essential for the traditional household) - 1% (previously exempt!)",0,1,null,{"$f":"SUM((B42-L42)/B42)*50%","v":0.46153846153846156}]
["Cote d'Ivoire",18,9,10,null,0,null,null,null,"The following are exempt from VAT: exports, butane gas, feed for livestock and farm animals, books, newspapers and magazines, medicines, fertilizers, seeds and cereals.\nA reduced rate of 9% applies to products made from durum wheat, milk, petroleum products and solar energy production equipment.",0,9,"http://www.expert-comptable-international.info/fr/fiches-pays/cote-d-ivoire/environnement-des-affaires",{"$f":"SUM((B43-L43)/B43)*50%","v":0.25}]
["Croatia",25,5,13,null,0,null,null,null,"Bread & Milk - 5%, Oils/Fats/White Sugar - 13%",0,5,null,{"$f":"SUM((B44-L44)/B44)*50%","v":0.4}]
["Cuba",10,2,null,null,0,null,null,null,null,1,null,"CRI-1 [No Source]"]
["Cyprus",19,5,9,null,0,null,null,null,"Food (except supplied in the course of catering) - 5%",0,5,null,{"$f":"SUM((B46-L46)/B46)*50%","v":0.36842105263157893}]
["Czech Republic",21,10,15,null,0,null,null,null,"Foodstuffs - 15%",0,15,null,{"$f":"SUM((B47-L47)/B47)*50%","v":0.14285714285714285}]
["Denmark",25,null,null,null,0,null,null,null,"None",0]
["Djibouti",10,null,null,null,0,null,null,null,null,1,null,"CRI-1 [Oxford Business Group]"]
["Dominican Republic",18,16,null,null,0,null,null,null,"Basic foodstuffs - exempt",1]
["Ecuador",12,null,null,null,0,null,null,null,"Unprocessed food - 0%",1]
["Egypt, Arab Rep.",14,5,null,null,0,null,null,null,"Animal/veg oils, crackers/flour products - 5%",0,5,null,{"$f":"SUM((B52-L52)/B52)*50%","v":0.32142857142857145}]
["El Salvador",13,null,null,null,0,null,null,null,"None",0]
["Estonia",20,9,null,null,0,null,null,null,"None",0]
["Eswatini",15,null,null,null,0,null,null,null,"maize meal, maize, beans, milk, brown bread,samp, rice, fresh fruit and vegetables and fresh eggs, vegetable oil except olive oil, paraffin and animal feeds - zero",1,null,"Swaziland Revenue Authority http://www.sra.org.sz/vat/zero-rated-goods-and-services.php"]
["Ethiopia",15,null,null,null,0,null,null,null,"Food items",1,null,"https://ethiopianlaw.com/vat-exempted-items-in-ethiopia/"]
["Fiji",9,null,null,null,0,null,null,null,"None",0,null,"https://www.frcs.org.fj/our-services/taxation/business/value-added-tax-vat/"]
["Finland",24,10,14,null,0,null,null,null,"Most foodstuffs including restaurant and catering services (food served at restaurants) - 14%",0,14,null,{"$f":"SUM((B58-L58)/B58)*50%","v":0.20833333333333334}]
["France",20,2.1,5.5,10,0,null,null,null,"Foodstuffs - 5.5%",0,5.5,null,{"$f":"SUM((B59-L59)/B59)*50%","v":0.36249999999999999}]
["Gambia, The",15,null,null,null,0,null,null,null,"Basic foods, for example rice, flour, sugar and milk - exempt",1,null,"http://businessingambia.com/gambia-vat-exempted-goods-and-services/"]
["Georgia",18,0.54,null,null,0,null,null,null,"None",0]
["Germany",19,7,null,null,0,null,null,null,"Food - 7%",0,7,null,{"$f":"SUM((B62-L62)/B62)*50%","v":0.31578947368421051}]
["Ghana",17.5,3,null,null,0,null,null,null,"Unprocessed agricultural and aquatic products in their raw state, including agricultural and aquatic food products that undergo preservation such as freezing, chilling, smoking, stripping, polishing - exempt",1]
["Greece",24,6,13,null,0,null,null,null,"Basic foodstuffs - 13%",0,13,"https://www.vatlive.com/country-guides/europe/greece/greek-vat-rates/",{"$f":"SUM((B64-L64)/B64)*50%","v":0.22916666666666666}]
["Guatemala",12,5,null,null,0,null,null,null,"Low-value retail sales of meat, fish, seafood or shellfish, fresh fruits and vegetables, cereals and basic grains in cantonal and municipal markets with a maximum sale value of GTQ100 (approximately USD13) - exempt",1]
["Guinea",18,null,null,null,0,null,null,null,"In accordance with article 9, flour and additives used in its production as well as edible oils are once again exempt from VAT",1,null,"http://www.ey.com/Publication/vwLUAssets/Guinea_issues_Finance_Act_2017/$FILE/2017G_00739-171Gbl_Guinea%20issues%20Finance%20Act%202017.pdf"]
["Guinea-Bissau",17,null,null,null,0,20,null,null,null,1,null,"CRI-1 [Crowe Horwath 2016]"]
["Guyana",14,null,null,null,0,null,null,null,"Exempt supplies include international transport services, locally mined raw gold or diamonds, educational services, residential rent, financial services and certain medical services, food items and consumer products",1,null,"http://taxsummaries.pwc.com/ID/Guyana-Corporate-Other-taxes"]
["Haiti",10,null,null,null,0,null,null,null,"None",0,null,"https://www.export.gov/article?id=Haiti-Import-Tariffs"]
["Honduras",{"$f":"VLOOKUP(A70,T1_VAT,4,FALSE)","v":15},null,null,null,0,18,null,null,"Goods that form part of the average weekly shopping",1]
["Hong Kong SAR, China",0]
["Hungary",27,5,18,null,0,null,null,null,"Basic foodstuffs - 18%",0,18,null,{"$f":"SUM((B72-L72)/B72)*50%","v":0.16666666666666666}]
["Iceland",24,11,null,null,0,null,null,null,"Most food-related items (including alcoholic beverages) - 11%",0,11,null,{"$f":"SUM((B73-L73)/B73)*50%","v":0.27083333333333331}]
["India",18,5,12,null,0,28,null,null,"Basic Foodstuffs",1,null,"https://cleartax.in/s/exemptions-gst-goods"]
["Indonesia",10,null,null,null,0,null,null,null,"Non taxable goods - basic commodities, for example rice, salt, corn, sago and soy beans;",1,null,"https://www.pwc.com/id/en/pocket-tax-book/english/pocket-tax-book-2019.pdf"]
["Ireland",23,9,13.5,null,0,null,null,null,"Most foodstuffs (excluding confectionery) - exempt",1]
["Israel",17,null,null,null,0,null,null,null,"None",0]
["Italy",22,4,5,10,0,null,null,null,"Certain foodstuffs - 4%",0,4,null,{"$f":"SUM((B78-L78)/B78)*50%","v":0.40909090909090912}]
["Jamaica",16.5,null,null,null,0,null,null,null,"Basic foodstuffs - exempt",1,null,"https://www.jamaicatax.gov.jm/documents/10181/531656/Zero+Rated+and+Exempt+Goods+Services.pdf/a781beb6-3ffb-4c80-800c-d36a7bcc3cbc"]
["Japan",8,null,null,null,0,null,null,null,"None",0]
["Jordan",16,4,5,10,0,null,null,null,"Live animals, Dairy products - 10%",0,10,null,{"$f":"SUM((B81-L81)/B81)*50%","v":0.1875}]
["Kazakhstan",12,null,null,null,0,null,null,null,"None",0]
["Kenya",16,8,null,null,0,null,null,null,"Unprocessed agricultural products - exempt",1]
["Kiribati",12.5,null,null,null,0,null,null,null,"uncooked rice and flour - exempt",1,null,"http://www.president.gov.ki/wp-content/uploads/2014/08/Exemptions-and-Zero-rated.pdf"]
["Korea, Rep.",10,null,null,null,0,null,null,null,"Basic life necessities and services (for example, unprocessed foodstuffs such as agricultural products, livestock products, marine products, forest products, piped water, briquette and anthracite coal) - exempt",1]
["Kosovo",18,8,null,null,0,null,null,null,"Grains such as barley, corn, maize varieties, oats, rye, rice and wheat, Products made from grain, Oils made from grains or oilseeds for use in cooking, Dairy and dairy products, Salt, Eggs (all for human consumption) - 8%",0,8,null,{"$f":"SUM((B86-L86)/B86)*50%","v":0.27777777777777779}]
["Kyrgyz Republic",12,null,null,null,0,null,null,null,"Supply by an agricultural producer of its own agricultural products;\nSupply by an entity of goods (except excisable goods), berries, fruits and vegetables, industrially processed by this entity;\nSupply of goods, works and services of food and processing enterprises (except excisable goods used in production) processing local agricultural raw products for a term of 6 years according to the list approved by the Kyrgyz Government",1,null,"https://www.hg.org/legal-articles/taxes-and-duties-in-the-kyrgyz-republic-4920"]
["Lao PDR",10,null,null,null,0,null,null,null,"Unprocessed agricultural products - exempt",1,null,"http://www.laotradeportal.gov.la/index.php?r=site/display&id=585"]
["Latvia",21,5,12,null,0,null,null,null,"The reduced rate of 5% is applicable to the supply of foodstuffs that are fresh fruit, berries and vegetables listed in the VAT law, including washed, peeled, shelled, cut and packed but not cooked or otherwise prepared (for example, frozen, salted, dried). The reduced rate of 5% is applicable until 31 December, 2020",0,5,null,{"$f":"SUM((B89-L89)/B89)*50%","v":0.38095238095238093}]
["Lebanon",11,null,null,null,0,null,null,null,"Basic foodstuffs and baby food - exempt",1]
["Lesotho",15,null,null,null,0,null,null,null,"Basic foodstuffs - exempt",1,null,"http://www.lra.org.ls/sites/default/files/2017-05/VAT%20Act%20Amendments%20Act%206%202003.pdf"]
["Liberia",10,null,null,null,0,15,null,null,"None",0,null,"http://www.lra.gov.lr/Admin/Official_Files/D_T_Procedures/1f21061948c8fe46375e381253a03582.pdf"]
["Lithuania",21,5,9,null,0,null,null,null,"None",0]
["Luxembourg",17,3,8,14,0,null,null,null,"Food for human consumption, excluding alcohol - 3%",0,3,null,{"$f":"SUM((B94-L94)/B94)*50%","v":0.41176470588235292}]
["Madagascar",20,null,null,null,0,null,null,null,"None",0]
["Malawi",16.5,null,null,null,0,null,null,null,"Basic foodstuffs exempt",1,null,"http://www.cfscmalawi.org/pdf/CFSC%20TAX%20RESEARCH%20REPORT.pdf"]
["Malaysia",10,null,null,null,0,null,null,null,"Essential foodstuffs (e.g., rice, table salt, sugar, plain flour, cooking oil) - zero rated",1]
["Maldives",6,null,null,null,0,null,null,null,"Essential foodstuffs - 0%",1]
["Mali",18,5,null,null,0,null,null,null,"Exempt from VAT\n3) Operations carried out by fishermen and shipowners with regard to unprocessed fishery products.\n4) Sales made by farmers of unprocessed crops and livestock products.\n5) The sales of products referred to in 3 and 4 above made by these same people when they have undergone a preparation or manipulation which does not change their character and which is necessary to make them fit for consumption or use as is.",1,null,"Tax Code of Mali\nhttps://www.dgi.gouv.ml/CGI/#_Toc504511805"]
["Malta",18,5,7,null,0,null,null,null,"Food, excluding catering - 0%",1]
["Mauritania",16,null,null,null,0,null,null,null,"see Tax Code",1,null,"Mauritania Tax Code\nhttp://www.impots.gov.mr/sites/default/files/99-CGI-2016.pdf"]
["Mauritius",15,null,null,null,0,null,null,null,"Sugar, Margarine, Rice, Yogurt, Edible oils - 0%\nBread, Baby food, Breakfast cereals - exempt",1]
["Mexico",{"$f":"VLOOKUP(A103,T1_VAT,4,FALSE)","v":16},null,null,null,0,null,null,null,"Unprocessed food and milk - 0%",1]
["Moldova",20,8,10,null,0,null,null,null,"Bakery products, Dairy products, Agricultural products - 8%\nFood for children - exempt",1,8,null,{"$f":"SUM((B104-L104)/B104)*50%","v":0.3}]
["Mongolia",10,null,null,null,0,null,null,null,"Cereal, potatoes, seeds, vegetables and fruits domestically grown and sold by farmers and domestically produced flour - exempt",1]
["Montenegro",21,7,null,null,0,null,null,null,"(1) VAT shall be accounted for and paid at the reduced rate of 7% on the supply of\ngoods, services and import of goods, as follows:\n1) Basic products for human nutrition (bread, flour, milk and dairy products, baby food, fat, cooking oil, meat and sugar); ",0,7,"Montenegro Law on VAT\nhttp://www.poreskauprava.gov.me/ResourceManager/FileDownload.aspx?rid=263162&rType=2&file=Law%20on%20Value%20Added%20Tax%20-%20OGMN%20-01-2017%20ENG%20not%20edited.pdf",{"$f":"SUM((B106-L106)/B106)*50%","v":0.33333333333333331}]
["Morocco",20,7,10,14,0,null,null,null,"Exempt without credit – basic foodstuffs",1,null,"https://www.avalara.com/vatlive/en/country-guides/africa-and-middle-east/morocco/moroccan-vat-rates-and-vat-compliance.html"]
["Mozambique",17,null,null,null,0,null,null,null,"certain basic foodstuffs (maize, bread, etc.) - exempt",1,null,"https://assets.kpmg.com/content/dam/kpmg/pdf/2016/03/africa-indirect-tax-country-guide.pdf"]
["Myanmar",5,1,3,null,0,null,null,null,"Paddy (unmilled rice), rice, spelt, bran, rough bran, paddy husk, Wheat grain as well as smooth and rough flour, Maize and other cereals; powder maize and other powder cereals, Pulses, chickpeas and pea flour, Groundnuts, shelled or unshelled - exempt",1]
["Namibia",15,null,null,null,0,null,null,null,"Certain basic foodstuffs - 0%",1]
["Nepal",13,null,null,null,0,null,null,null,"see Nepal VAT legislation - Basic Foodstuffs - exempt",1]
["Netherlands",21,9,null,null,0,null,null,null,"Foodstuffs - 9%",0,9,null,{"$f":"SUM((B112-L112)/B112)*50%","v":0.2857142857142857}]
["New Zealand",15,null,null,null,0,null,null,null,"None",0]
["Nicaragua",15,null,null,null,0,null,null,null,"Live animals and fresh fish, Domestically produced fruits and vegetables that are unprocessed, Basic foodstuffs, such as corn tortillas, rice, beans, certain\ndairy products, eggs and meat - exempt",1]
["Niger",19,null,null,null,0,null,null,null,null,1,null,"Niger Tax Code 2016"]
["Nigeria",5,null,null,null,0,null,null,null,"Basic food items - exempt",1]
["North Macedonia",18,5,null,null,0,null,null,null,"Food Products - 5%",0,5,null,{"$f":"SUM((B117-L117)/B117)*50%","v":0.3611111111111111}]
["Norway",25,12,15,null,0,null,null,null,"Food (excluding alcohol and tobacco, and supplies in restaurants) - 15%",0,15,null,{"$f":"SUM((B118-L118)/B118)*50%","v":0.2}]
["Occupied Palestinian Territory",16,null,null,null,0,null,null,null,"None",0]
["Oman",0]
["Pakistan",17,"1, 2, 3, 4, 5, 6, 7, 8, 9, 10 & 12",null,null,0,19.5,null,null,"Agricultural products, including milk, eggs, fish, meat and fresh vegetables - exempt",1]
["Panama",7,null,null,null,0,10,15,null,"Groceries - exempt",1]
["Papua New Guinea",10,null,null,null,0,null,null,null,"None",0]
["Paraguay",10,5,null,null,0,null,null,null,"The general VAT rate is 10%, but a special VAT rate of 5% applies for selling and leasing real estate, basic groceries, farming products, and pharmaceutical products",0,5,"http://taxsummaries.pwc.com/ID/Paraguay-Corporate-Other-taxes",{"$f":"SUM((B124-L124)/B124)*50%","v":0.25}]
["Peru",18,null,null,null,0,null,null,null,"Fruits and vegetables - exempt",0.5]
["Philippines",12,null,null,null,0,null,null,null,"Agricultural or marine food products in their original state, Livestock or poultry used as, or for producing, foods for human consumption - exempt",1,null,"http://www.ntrc.gov.ph/images/Publications/train/tax-changes-you-need-to-know.pdf"]
["Poland",23,5,8,null,0,null,null,null,"Certain unprocessed basic foodstuffs - 5%\nCertain foodstuffs - 8%",0,5,null,{"$f":"SUM((B127-L127)/B127)*50%","v":0.39130434782608697}]
["Portugal",23,6,13,null,0,null,null,null,"Basic foodstuffs - 6%",0,6,null,{"$f":"SUM((B128-L128)/B128)*50%","v":0.36956521739130432}]
["Romania",19,5,9,null,0,null,null,null,"Food (excluding alcohol) having certain classification codes - 9%",0,9,null,{"$f":"SUM((B129-L129)/B129)*50%","v":0.26315789473684209}]
["Russian Federation",20,10,16.670000000000002,null,0,null,null,null,"Basic foodstuffs - 10%",0,10,null,{"$f":"SUM((B130-L130)/B130)*50%","v":0.25}]
["Rwanda",18,null,null,null,0,null,null,null,"Unprocessed agricultural & livestock products - exempt",1]
["Samoa",15,null,null,null,0,null,null,null,"Those supplies exempt from VAT are locally produced raw and unprocessed food",1,null,"https://home.kpmg.com/xx/en/home/services/tax/tax-tools-and-resources/tax-rates-online/indirect-tax-rates-table.html"]
["Sao Tome and Principe",10]
["Senegal",18,17,null,null,0,null,null,null,null,1,null,"CRI-1 [DTTL 2015]"]
["Serbia",{"$f":"VLOOKUP(A135,T1_VAT,4,FALSE)","v":20},10,null,null,0,null,null,null,"The reduced rate of 10% applies to the supply of medicines and medical care devices (e.g., prosthesis), and to the supply of a wide range of food products",0,10,null,{"$f":"SUM((B135-L135)/B135)*50%","v":0.25}]
["Seychelles",15,null,null,null,0,null,null,null,"Rice, Sugar, salt, Meat, fish, Vegetables and fruits, Lentils, Edible oils, Infant foods - 0%",1]
["Sierra Leone",15,null,null,null,0,null,null,null,"Rice - exempt",0,null,"http://www.sierra-leone.org/Laws/2009-06.pdf"]
["Singapore",7,null,null,null,0,null,null,null,"None",0]
["Slovak Republic",20,10,null,null,0,null,null,null,"From 1 January 2016, the reduced rate was extended and now applies to certain food products such as meat, fish, milk and bread - 10%",0,10,null,{"$f":"SUM((B139-L139)/B139)*50%","v":0.25}]
["Slovenia",22,9.5,null,null,0,null,null,null,"Foodstuffs (except alcoholic drinks and catering services) - 9.5%",0,9.5,null,{"$f":"SUM((B140-L140)/B140)*50%","v":0.28409090909090912}]
["Solomon Islands",10,null,null,null,0,null,null,null,"None",0]
["South Africa",15,null,null,null,0,null,null,null,"Certain basic foodstuffs - 0%",1]
["South Sudan",20]
["Spain",21,4,10,null,0,null,null,null,"Basic foodstuffs - 4%",0,4,null,{"$f":"SUM((B144-L144)/B144)*50%","v":0.40476190476190477}]
["Sri Lanka",15,null,null,null,0,null,null,null,"Basic foodstuffs - exempt",1,null,"http://www.ird.gov.lk/en/Lists/Latest%20News%20%20Notices/Attachments/92/Schedule%20of%20Goods%20or%20Services%20Exempted%20from%20VAT.pdf"]
["St. Lucia",12.5,10,null,null,0,null,null,null,"Certain staple foodstuffs - exempt",1]
["St. Vincent and the Grenadines",16,null,null,null,0,null,null,null,"Basic foodstuffs - 0%",1,null,"http://www.oas.org/juridico/english/mesicic3_svg_tax.pdf"]
["Sweden",25,6,12,null,0,null,null,null,"Foodstuffs - 12%",0,12,null,{"$f":"SUM((B148-L148)/B148)*50%","v":0.26}]
["Switzerland",7.7,2.5,3.7,null,0,null,null,null,"Food and drinks (except provided by hotels and restaurants) - 2.5%",0,2.5,null,{"$f":"SUM((B149-L149)/B149)*50%","v":0.33766233766233766}]
["Tajikistan",18,null,null,null,0,null,null,null,null,0,null,"Tajikistan Tax Code"]
["Tanzania",18,null,null,null,0,null,null,null,"None",0]
["Thailand",7,null,null,null,0,null,null,null,"Sale of agriculture products, animals and animal products (except canned foods) - exempt",1]
["Timor-Leste",5,null,null,null,0,null,null,null,"Services tax not applicable to foods",1]
["Togo",18,null,null,null,0,null,null,null,"10% on certain food and textile products",0,10,"https://import-export.societegenerale.fr/fr/fiche-pays/togo/presentation-fiscalite",{"$f":"SUM((B154-L154)/B154)*50%","v":0.22222222222222221}]
["Tonga",15,null,null,null,0,null,null,null,null,0]
["Trinidad and Tobago",12.5,null,null,null,0,null,null,null,"With certain exceptions, most items of food and non-alcoholic beverages - 0%",1]
["Tunisia",19,7,13,null,0,null,null,null,"Food products (milk, flour ...) - exempt",1]
["Turkey",18,1,8,null,0,null,null,null,"Basic Foodstuffs - 1%",0,1,null,{"$f":"SUM((B158-L158)/B158)*50%","v":0.47222222222222221}]
["Uganda",18,null,null,null,0,null,null,null,"Livestock, unprocessed foodstuffs and unprocessed agricultural products except wheat grain - exempt",1]
["Ukraine",20,7,null,null,0,null,null,null,"None",0]
["United Kingdom",20,5,null,null,0,null,null,null,"Certain foodstuffs - 0%",1]
["United States",8.6289999999999996,null,null,null,0,null,null,null,null,0]
["Uruguay",22,10,null,null,0,null,null,null,"Basic foodstuffs - 10%",0,10,null,{"$f":"SUM((B163-L163)/B163)*50%","v":0.27272727272727271}]
["Uzbekistan",15,null,null,null,0,null,null,null,"Food exemptions - The list includes meat (beef, lamb and chicken), live animals (cattle and poultry), meat, fish, potatoes, onions, eggs, all varieties of rice, sugar, bakery products (production and sale)",1]
["Vanuatu",15,null,null,null,0,null,null,null,"None",0]
["Venezuela, RB",{"$f":"VLOOKUP(A166,T1_VAT,4,FALSE)","v":16},8,null,null,0,16.5,20,null,"Food and goods for personal consumption such as bread, rice, salt, sugar, coffee, milk, pasta, and margarine - exempt",1]
["Vietnam",10,5,null,null,0,null,null,null,"Agricultural Products - 5%",0,5,null,{"$f":"SUM((B167-L167)/B167)*50%","v":0.25}]
["Yemen, Rep.",5,null,null,null,0,null,null,null,"Wheat, wheat flour & rice - exempt",1,null,"http://www.tax.gov.ye/r/index.php/tax-shria/salestax/category/12-role-re19"]
["Zambia",16,null,null,null,0,null,null,null,"Bread & wheat - 0%\nBasic foods - exempt",1]
["Zimbabwe",15,null,null,null,0,null,null,null,"Eggs, vegetables, fruits, rice, margarine, lactose and mahewu - exempt",1]
[null,null,null,null,null,null,null,null,null,null,"Check",{"$f":"COUNTA(L6:L170)","v":44}]

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["Country Name\nsee below for SUMMARY TABLE of scores",null,"Afghanistan",null,"Albania",null,"Algeria",null,"Angola",null,"Antigua and Barbuda",null,"Argentina",null,"Armenia",null,"Australia",null,"Austria",null,"Azerbaijan",null,"Bahamas, The",null,"Bahrain",null,"Bangladesh",null,"Barbados",null,"Belarus",null,"Belgium",null,"Belize",null,"Benin",null,"Bhutan",null,"Bolivia",null,"Botswana",null,"Brazil",null,"Bulgaria",null,"Burkina Faso",null,"Burundi",null,"Cabo Verde",null,"Cambodia",null,"Cameroon",null,"Canada",null,"Central African Republic",null,"Chad",null,"Chile",null,"China",null,"Colombia",null,"Congo, Dem. Rep.",null,"Congo, Rep.",null,"Costa Rica",null,"Cote d'Ivoire",null,"Croatia",null,"Cuba",null,"Cyprus",null,"Czech Republic",null,"Denmark",null,"Djibouti",null,"Dominican Republic",null,"Ecuador",null,"Egypt, Arab Rep.",null,"El Salvador",null,"Estonia",null,"Eswatini",null,"Ethiopia",null,"Fiji",null,"Finland",null,"France",null,"Gambia, The",null,"Georgia",null,"Germany",null,"Ghana",null,"Greece",null,"Guatemala",null,"Guinea",null,"Guinea-Bissau",null,"Guyana",null,"Haiti",null,"Honduras",null,"Hong Kong SAR, China",null,"Hungary",null,"Iceland",null,"India",null,"Indonesia",null,"Ireland",null,"Israel",null,"Italy",null,"Jamaica",null,"Japan",null,"Jordan",null,"Kazakhstan",null,"Kenya",null,"Kiribati",null,"Korea, Rep.",null,"Kyrgyz Republic",null,"Lao PDR",null,"Latvia",null,"Lebanon",null,"Lesotho",null,"Liberia",null,"Lithuania",null,"Luxembourg",null,"Madagascar",null,"Malawi",null,"Malaysia",null,"Maldives",null,"Mali",null,"Malta",null,"Mauritania",null,"Mauritius",null,"Mexico",null,"Moldova",null,"Mongolia",null,"Morocco",null,"Mozambique",null,"Myanmar",null,"Namibia",null,"Nepal",null,"Netherlands",null,"New Zealand",null,"Nicaragua",null,"Niger",null,"Nigeria",null,"North Macedonia",null,"Norway",null,"Occupied Palestinian Territory",null,"Oman",null,"Pakistan",null,"Panama",null,"Papua New Guinea",null,"Paraguay",null,"Peru",null,"Philippines",null,"Poland",null,"Portugal",null,"Romania",null,"Russian Federation",null,"Rwanda",null,"Samoa",null,"Sao Tome and Principe",null,"Senegal",null,"Serbia",null,"Seychelles",null,"Sierra Leone",null,"Singapore",null,"Slovak Republic",null,"Slovenia",null,"Solomon Islands",null,"South Africa",null,"South Sudan",null,"Spain",null,"Sri Lanka",null,"St. Lucia",null,"St. Vincent and the Grenadines",null,"Sweden",null,"Switzerland",null,"Tajikistan",null,"Tanzania",null,"Thailand",null,"Timor-Leste",null,"Togo",null,"Tonga",null,"Trinidad and Tobago",null,"Tunisia",null,"Turkey",null,"Uganda",null,"Ukraine",null,"United Kingdom",null,"United States",null,"Uruguay",null,"Uzbekistan",null,"Vanuatu",null,"Venezuela, RB",null,"Vietnam",null,"Yemen, Rep.",null,"Zambia",null,"Zimbabwe"]
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["Per Capita GDP multiplier",30]
["Personal Allowances / Deductions - NOTE ONLY UNLESS INDICATED APPLIED TO THRESHOLDS BELOW",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Basic Personal Allowance BBD 25,000",null,"Individual deduction BYN110/month (not available if earn more than BYN665/month)\nBYN is 10,000 old BYR",null,"Basic Personal Allowance EUR 8,860",null,"Basic Personal Relief $25,600 (1), $24,600 (2), $22,600 (3) & $19,600 (4)",null,"Exempt income - first XOF 50,000/month",null,null,null,"Two min national salaries per month (current min = BOB 2,122)",null,"BWP 36,000",null,null,null,null,null,null,null,null,null,"Taxable Income to CVE 220,000 exempt",null,null,null,"Abatement of CFA 500,000 granted",null,null,null,null,null,null,null,null,null,null,null,null,null,"20% deduction permitted from tax base",null,null,null,null,null,null,null,"Personal Allowance HRK 3,800/month",null,null,null,null,null,"Annual personal tax relief CZK 24,840",null,"Personal Allowance DKK 46,200 (2019)",null,"Employment Income under DJF 50,000 is exempt from tax",null,null,null,null,null,"Annual personal deduction EGP 7,000",null,"Personal deduction USD 1,600",null,"Basic tax exemption EURO 6,000\n\n",null,"Annual rebate SZL 8,200",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"If taxable income less then Euro 20,000 then Euro 1,900 allowance given to individual taxpayer",null,"Standard deduction of GTQ 48,000",null,null,null,null,null,"Personal allowance - which is greater of GYD 780,000 per year or 1/3 of employee's total income",null,null,null,null,null,null,null,null,null,"Personal tax credit ISK 677,364",null,null,null,"Personal Allowance IDR 54,000,000",null,"Personal Credit Euro 1,650",null,"Personal Tax credit points = ILS218/month",null,"For PIT purposes, the Italian tax code introduces the no-tax area implicitly, through ad hoc subtractions.",null,"Personal tax exemption JMD 1,500,096\n\n\n",null,"If earn up to the first threshold of 1,950,000 then pay zero tax, if you earn 1,950,001 then you pay 5% tax on entire amount",null,"Personal allowance JOD 10,000",null,"MMS = KZT 42,500/month deducted",null,"Personal relief KES 16,896/year but only deducted once earn above minimum threshold",null,null,null,"Basic deduction KRW 1,500,000/person",null,"Standard Monthly deduction granted to taxpayers of KGS 650 / month\n\n",null,null,null,null,null,"Taxpayer deduction LBP 7,500,000",null,"Personal deduction LSL 7,260 (LSL 605/month)",null,null,null,null,null,"Taxable income taxed in excess of Euro 11,265\n\nAlready built into Luxembourg thresholds below",null,null,null,null,null,"Annual allowance individual MYR 9,000",null,null,null,null,null,null,null,"Fixed exemption MRO 60,000",null,"Personal exemption MUR 310,000",null,"If earn up to the first threshold of 6,942.20 then pay zero tax, if you earn 6,942.21 then you pay 1.92% tax on entire amount",null,"Personal deduction MDL 24,000",null,null,null,null,null,"Annual income of MZN 225,000 or less not taxed + MZN 1,800 tax credit",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Consolidated Relief Allowance NGN 200,000",null,"Deductible Personal Exemption for 2019 is MKD 96,000",null,"Ordinary Income Tax - Annual Relief NOK 56,550",null,"Residency Allowance ILS 36,000",null,null,null,null,null,null,null,null,null,"from 2018 threshold for tax is 36 minimum wages/year (MW=2,112,562)\n\n",null,"Personal deduction = 7 ATUs (ATU= PEN 4,200)",null,null,null,"Personal deduction Euro 4,104",null,null,null,"Monthly deduction for individuals = RON 510",null,null,null,null,null,null,null,"Income up to STD 11,700,000 is exempt from tax",null,null,null,null,null,null,null,null,null,null,null,"Personal allowance permitted 2019 equal to 19.2 times the subsistence minimum per taxpayer =  Euro 3,937.35\nTaxpayers earning more than Euro 36,256.38/year are not entitled to the allowance",null,"General relief Euro 3,302.70\nIf tax base lower then Euro 13,316.83- relief = 4,418.64 and if base lower than 11,166.37 then relief = 6,519.82",null,"Personal Exemption Threshold $15,080",null,"Individuals younger than 65 who have taxable income less then ZAR 79,000 not subject to tax",null,null,null,"Personal Allowance = Euro 5,550\nNot added to maximum threshold but deducted from first tax rate band",null,"Tax free allowance LKR 500,000",null,"Basic Allowance XCD 18,000",null,"Personal Allowance XCD 18,000",null,"Basic Allowance SEK 13,900",null,null,null,"No tax paid on MCI (monthly calculation index) which is TJS 55/month\n\n",null,null,null,"Personal Allowance TNB 60,000",null,null,null,null,null,null,null,"Personal Allowance TTD 72,000",null,null,null,null,null,null,null,null,null,"Personal Allowance GBP 12,500\nFor Income over GBP 100,000 Personal Allowance reduced at maximum threshold Personal Allowance is zero\n\n",null,"Federal - Personal Exemption USD 12,200",null,null,null,null,null,null,null,"Subject to tax only if income in excess of 1,500 tax units (for 2019 TU  = VEF 50 [for 2018 this was VEF17])",null,"Personal relief VND9 million/month = VND 108,000,000/year",null,null,null,"Personal exemption ZMW 39,600\n\n"]
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[]
["T1 PIT SCORE",null,{"$f":"prog(C2,$B$3,C7:C10,D7:D10)","v":7.0776717938579689E-2},null,{"$f":"prog(E2,$B$3,E7:E9,F7:F9)","v":3.4850373410056069E-2},null,{"$f":"prog(G2,B3,G7:G10,H7:H10)","v":1.669044490877573E-2},null,{"$f":"prog(I2,B3,I7:I19,J7:J19)","v":2.0303709108790573E-2},null,{"$f":"prog(K2,B3,K7:K9,L7:L9)","v":6.067209475224692E-2},null,{"$f":"prog(M2,B3,M7:M15,N7:N15)","v":8.9146171315998366E-3},null,{"$f":"prog(O2,B3,O7:O9,P7:P9)","v":4.7098974353283847E-3},null,{"$f":"prog(Q2,B3,Q7:Q11,R7:R11)","v":1.6469693482572805E-2},null,{"$f":"prog(S2,B3,S7:S13,T7:T13)","v":1.5175674015417676E-2},null,{"$f":"prog(U2,B3,U7:U8,V7:V8)","v":3.2524810941947737E-3},null,null,null,null,null,{"$f":"prog(AA2,B3,AA7:AA12,AB7:AB12)","v":8.9353124805839498E-2},null,{"$f":"prog(AC2,B3,AC7:AC9,AD7:AD9)","v":1.4178200681144984E-2},null,null,null,{"$f":"prog(AG2,B3,AG7:AG10,AH7:AH10)","v":5.7963782701631423E-3},null,{"$f":"prog(AI2,B3,AI7:AI8,AJ7:AJ8)","v":6.5645616803182857E-2},null,{"$f":"prog(AK2,B3,AK7:AK11,AL7:AL11)","v":4.0136074154535274E-2},null,{"$f":"prog(AM2,B3,AM7:AM11,AN7:AN11)","v":3.8698678320896164E-2},null,null,null,{"$f":"prog(AQ2,B3,AQ7:AQ11,AR7:AR11)","v":3.0180923058812519E-2},null,{"$f":"prog(AS2,B3,AS7:AS11,AT7:AT11)","v":2.4633751626482441E-2},null,null,null,{"$f":"prog(AW2,$B3,AW7:AW13,AX7:AX13)","v":5.1256494331273363E-2},null,{"$f":"prog(AY2,$B3,AY7:AY9,AZ7:AZ9)","v":8.7708191092324458E-2},null,{"$f":"prog(BA2,$B3,BA7:BA9,BB7:BB9)","v":2.8425907457479787E-2},null,{"$f":"prog(BC2,$B3,BC7:BC11,BD7:BD11)","v":0.111552582241688},null,{"$f":"prog(BE2,$B3,BE7:BE10,BF7:BF10)","v":5.7134152823378116E-2},null,{"$f":"prog(BG2,$B3,BG7:BG11,BH7:BH11)","v":2.0832590554644519E-2},null,{"$f":"prog(BI2,$B3,BI7:BI11,BJ7:BJ11)","v":0.15697907895710464},null,{"$f":"prog(BK2,$B3,BK7:BK10,BL7:BL10)","v":0.10446551844696199},null,{"$f":"prog(BM2,$B3,BM7:BM13,BN7:BN13)","v":8.5457772425500386E-2},null,{"$f":"prog(BO2,$B3,BO7:BO13,BP7:BP13)","v":8.7581185573512729E-2},null,{"$f":"prog(BQ2,$B3,BQ7:BQ13,BR7:BR13)","v":6.3320237674309318E-2},null,{"$f":"prog(BS2,$B3,BS7:BS10,BT7:BT10)","v":6.4279385207330828E-2},null,{"$f":"prog(BU2,$B3,BU7:BU10,BV7:BV10)","v":2.3453241945156449E-2},null,{"$f":"prog(BW2,$B3,BW7:BW9,BX7:BX9)","v":3.4686360641113446E-2},null,{"$f":"prog(BY2,$B3,BY7:BY14,BZ7:BZ14)","v":5.8972606367041415E-2},null,{"$f":"prog(CA2,$B3,CA7:CA8,CB7:CB8)","v":2.2790798626927383E-2},null,{"$f":"prog(CC2,$B3,CC7:CC11,CD7:CD11)","v":4.6446448626441018E-2},null,{"$f":"prog(CE2,$B3,CE7:CE11,CF7:CF11)","v":2.5752008175820944E-2},null,{"$f":"prog(CG2,$B3,CG7:CG8,CH7:CH8)","v":1.8403066146650476E-2},null,{"$f":"prog(CI2,$B3,CI7:CI9,CJ7:CJ9)","v":9.2894161506362014E-3},null,{"$f":"prog(CK2,$B3,CK7:CK11,CL7:CL11)","v":9.5467539448754E-3},null,{"$f":"prog(CM2,$B3,CM7:CM10,CN7:CN10)","v":2.7718860375491688E-2},null,{"$f":"prog(CO2,$B3,CO7:CO15,CP7:CP15)","v":0.11952623009679479},null,{"$f":"prog(CQ2,$B3,CQ7:CQ11,CR7:CR11)","v":1.6115167172290484E-2},null,{"$f":"prog(CS2,$B3,CS7:CS10,CT7:CT10)","v":6.0570169011973686E-2},null,null,null,{"$f":"prog(CW2,$B3,CW7:CW11,CX7:CX11)","v":4.3275516486959299E-2},null,{"$f":"prog(CY2,$B3,CY7:CY13,CZ7:CZ13)","v":3.7789029219416438E-2},null,{"$f":"prog(DA2,$B3,DA7:DA16,DB7:DB16)","v":8.58035640959776E-2},null,{"$f":"prog(DC2,$B3,DC7:DC11,DD7:DD11)","v":2.1641394036538013E-2},null,{"$f":"prog(DE2,$B3,DE7:DE11,DF7:DF11)","v":2.5061880197730851E-2},null,{"$f":"prog(DG2,$B3,DG7:DG12,DH7:DH12)","v":2.5761750803711719E-2},null,null,null,{"$f":"prog(DK2,$B3,DK7:DK11,DL7:DL11)","v":2.1705424844573312E-2},null,{"$f":"prog(DM2,$B3,DM7:DM12,DN7:DN12)","v":3.6921946503596849E-2},null,{"$f":"prog(DO2,$B3,DO7:DO10,DP7:DP10)","v":1.7713960465367145E-2},null,{"$f":"prog(DQ2,$B3,DQ7:DQ8,DR7:DR8)","v":3.2203405534939757E-2},null,{"$f":"prog(DS2,$B3,DS7:DS11,DT7:DT11)","v":2.1019452394055376E-2},null,{"$f":"prog(DU2,$B3,DU7:DU11,DV7:DV11)","v":5.6389425111100934E-2},null,{"$f":"prog(DW2,$B3,DW7:DW8,DX7:DX8)","v":3.5757137150536447E-3},null,{"$f":"prog(DY2,$B3,DY7:DY11,DZ7:DZ11)","v":9.1200923179290225E-2},null,{"$f":"prog(EA2,$B3,EA7:EA10,EB7:EB10)","v":8.0151921116581468E-2},null,{"$f":"prog(EC2,$B3,EC7:EC11,ED7:ED11)","v":6.2709219128105715E-3},null,null,null,{"$f":"prog(EG2,$B3,EG7:EG8,EH7:EH8)","v":5.8406113828522272E-3},null,{"$f":"prog(EI2,$B3,EI7:EI14,EJ7:EJ14)","v":8.456028276304399E-2},null,{"$f":"prog(EK2,$B3,EK7:EK10,EL7:EL10)","v":5.5017140074876049E-2},null,{"$f":"prog(EM2,$B3,EM7:EM8,EN7:EN8)","v":5.7892154156344118E-3},null,{"$f":"prog(EO2,$B3,EO7:EO13,EP7:EP13)","v":3.165874279819373E-2},null,{"$f":"prog(EQ2,$B3,EQ7:EQ11,ER7:ER11)","v":1.1492547432879122E-2},null,{"$f":"prog(ES2,$B3,ES7:ES8,ET7:ET8)","v":1.7648002861087846E-2},null,{"$f":"prog(EU2,$B3,EU7:EU13,EV7:EV13)","v":4.3342801294250312E-2},null,{"$f":"prog(EW2,$B3,EW7:EW12,EX7:EX12)","v":6.3159633434130266E-2},null,null,null,{"$f":"prog(FA2,$B3,FA7:FA11,FB7:FB11)","v":2.4459091806515326E-2},null,{"$f":"prog(FC2,$B3,FC7:FC10,FD7:FD10)","v":8.103881789142546E-2},null,{"$f":"prog(FE2,$B3,FE7:FE13,FF7:FF13)","v":3.7744213615749013E-2},null,null,null,{"$f":"prog(FI2,$B3,FI7:FI13,FJ7:FJ13)","v":1.3713402017038115E-2},null,{"$f":"prog(FK2,$B3,FK7:FK9,FL7:FL9)","v":2.168005805812127E-2},null,{"$f":"prog(FM2,$B3,FM7:FM13,FN7:FN13)","v":8.2545762553738286E-2},null,{"$f":"prog(FO2,$B3,FO7:FO8,FP7:FP8)","v":1.9803592428455568E-2},null,{"$f":"prog(FQ2,$B3,FQ7:FQ10,FR7:FR10)","v":6.0644137366951768E-2},null,{"$f":"prog(FS2,$B3,FS7:FS8,FT7:FT8)","v":2.8314071419320668E-2},null,{"$f":"prog(FU2,$B3,FU7:FU30,FV7:FV30)","v":8.0602110902080835E-3},null,{"$f":"prog(FW2,$B3,FW7:FW8,FX7:FX8)","v":5.6029975221771146E-2},null,{"$f":"prog(FY2,$B3,FY7:FY10,FZ7:FZ10)","v":4.5554134477319409E-2},null,{"$f":"prog(GA2,$B3,GA7:GA17,GB7:GB17)","v":3.580059828456298E-2},null,null,null,{"$f":"prog(GE2,$B3,GE7:GE13,GF7:GF13)","v":5.9990655083808776E-2},null,{"$f":"prog(GG2,$B3,GG7:GG10,GH7:GH10)","v":1.9738691829424487E-2},null,{"$f":"prog(GI2,$B3,GI7:GI9,GJ7:GJ9)","v":3.8955577251341723E-2},null,{"$f":"prog(GK2,$B3,GK7:GK8,GL7:GL8)","v":1.1377892597725295E-2},null,{"$f":"prog(GM2,$B3,GM7:GM17,GN7:GN17)","v":2.9211140961707665E-2},null,null,null,null,null,{"$f":"prog(GS2,$B3,GS7:GS12,GT7:GT12)","v":4.1710611855451364E-2},null,{"$f":"prog(GU2,$B3,GU7:GU11,GV7:GV11)","v":4.8806434349476659E-2},null,{"$f":"prog(GW2,$B3,GW7:GW12,GX7:GX12)","v":0.10429828874922091},null,{"$f":"prog(GY2,$B3,GY7:GY13,GZ7:GZ13)","v":4.4308002730791642E-2},null,{"$f":"prog(HA2,$B3,HA7:HA11,HB7:HB11)","v":9.8081888413366888E-2},null,{"$f":"prog(HC2,$B3,HC7:HC10,HD7:HD10)","v":1.748216847209964E-2},null,{"$f":"prog(HE2,$B3,HE7:HE10,HF7:HF10)","v":1.0077815571386243E-2},null,{"$f":"prog(HG2,$B3,HG7:HG11,HH7:HH11)","v":6.9661383331214119E-2},null,{"$f":"prog(HI2,$B3,HI7:HI15,HJ7:HJ15)","v":1.9319442126055558E-2},null,{"$f":"prog(HK2,$B3,HK7:HK12,HL7:HL12)","v":2.3983310399213458E-2},null,{"$f":"prog(HM2,$B3,HM7:HM8,HN7:HN8)","v":2.8162038943701211E-2},null,{"$f":"prog(HO2,$B3,HO7:HO11,HP7:HP11)","v":7.8425684762134882E-3},null,{"$f":"prog(HQ2,$B3,HQ7:HQ9,HR7:HR9)","v":9.6566785592862178E-2},null,null,null,{"$f":"prog(HU2,$B3,HU7:HU14,HV7:HV14)","v":0.1362423362102855},null,{"$f":"prog(HW2,$B3,HW7:HW9,HX7:HX9)","v":3.4463407603597597E-2},null,{"$f":"prog(HY2,$B3,HY7:HY12,HZ7:HZ12)","v":5.113665967766582E-2},null,{"$f":"prog(IA2,$B3,IA7:IA8,IB7:IB8)","v":2.0446280397013166E-2},null,{"$f":"prog(IC2,$B3,IC7:IC11,ID7:ID11)","v":6.4872529180412905E-2},null,{"$f":"prog(IE2,$B3,IE7:IE12,IF7:IF12)","v":5.123886620131516E-2},null,{"$f":"prog(IG2,$B3,IG7:IG11,IH7:IH11)","v":1.4433499988080004E-2},null,{"$f":"prog(II2,$B3,II7:II14,IJ7:IJ14)","v":2.3251460718883881E-2},null,null,null,null,null,{"$f":"prog(IO2,$B3,IO7:IO9,IP7:IP9)","v":1.8925622317925977E-2},null,{"$f":"prog(IQ2,$B3,IQ7:IQ9,IR7:IR9)","v":3.3401409876893363E-2},null,{"$f":"prog(IS2,$B3,IS7:IS11,IT7:IT11)","v":4.1264874227249927E-2},null,{"$f":"prog(IU2,$B3,IU7:IU12,IV7:IV12)","v":4.4996700856755591E-2},null,{"$f":"prog(IW2,$B3,IW7:IW8,IX7:IX8)","v":3.3721464794085144E-2},null,{"$f":"prog(IY2,$B3,IY7:IY10,IZ7:IZ10)","v":3.28320273369073E-2},null,{"$f":"prog(JA2,$B3,JA7:JA11,JB7:JB11)","v":5.5463195797317767E-2},null,{"$f":"prog(JC2,$B3,JC7:JC17,JD7:JD17)","v":2.8399253661965312E-2},null,{"$f":"prog(JE2,$B3,JE7:JE8,JF7:JF8)","v":1.0162633725128526E-2},null,{"$f":"prog(JG2,$B3,JG7:JG11,JH7:JH11)","v":2.1906034334182516E-2},null,{"$f":"prog(JI2,$B3,JI7:JI10,JJ7:JJ10)","v":2.4194902164016357E-2},null,{"$f":"prog(JK2,$B3,JK7:JK13,JL7:JL13)","v":4.9227006364965832E-2},null,{"$f":"prog(JM2,$B3,JM7:JM9,JN7:JN9)","v":9.0533264307081449E-3},null,{"$f":"prog(JO2,$B3,JO7:JO11,JP7:JP11)","v":1.6018344344771267E-2},null,{"$f":"prog(JQ2,$B3,JQ7:JQ12,JR7:JR12)","v":4.4176288282216349E-2},null,{"$f":"prog(JS2,$B3,JS7:JS10,JT7:JT10)","v":1.1101965358801516E-2},null,{"$f":"prog(JU2,$B3,JU7:JU9,JV7:JV9)","v":5.4748157012455652E-3},null,{"$f":"prog(JW2,$B3,JW7:JW9,JX7:JX9)","v":1.0493250551154168E-2},null,{"$f":"prog(JY2,$B3,JY7:JY17,JZ7:JZ17)","v":1.4508214200717498E-2},null,{"$f":"prog(KA2,$B3,KA7:KA8,KB7:KB8)","v":1.9251025413842642E-3},null,{"$f":"prog(KC2,$B3,KC7:KC11,KD7:KD11)","v":4.0029551127184017E-2},null,{"$f":"prog(KE2,$B3,KE7:KE14,KF7:KF14)","v":6.9198705117214529E-2},null,{"$f":"prog(KG2,$B3,KG7:KG8,KH7:KH8)","v":5.9145154366263032E-2},null,{"$f":"prog(KI2,$B3,KI7:KI12,KJ7:KJ12)","v":0.1625650477496309},null,{"$f":"prog(KK2,$B3,KK7:KK10,KL7:KL10)","v":5.1812235667017793E-2},null,{"$f":"prog(KM2,$B3,KM7:KM8,KN7:KN8)","v":1.8085820853942985E-2},null,{"$f":"prog(KO2,$B3,KO7:KO11,KP7:KP11)","v":2.5880903647771552E-2},null,{"$f":"prog(KQ2,$B3,KQ7:KQ10,KR7:KR10)","v":1.7480016027171013E-2},null,{"$f":"prog(KS2,$B3,KS7:KS11,KT7:KT11)","v":3.0004416168212849E-2},null,null,null,{"$f":"prog(KW2,$B3,KW7:KW9,KX7:KX9)","v":2.0127101506277206E-2},null,{"$f":"prog(KY2,$B3,KY7:KY13,KZ7:KZ13)","v":2.7441265135294029E-2},null,{"$f":"prog(LA2,$B3,LA7:LA14,LB7:LB14)","v":5.1264929440130759E-2},null,null,null,null,null,{"$f":"prog(LG2,$B3,LG7:LG14,LH7:LH14)","v":3.7912819614080141E-2},null,{"$f":"prog(LI2,$B3,LI7:LI13,LJ7:LJ13)","v":7.7679220514181455E-2},null,null,null,{"$f":"prog(LM2,$B3,LM7:LM9,LN7:LN9)","v":2.3103604039246089E-2},null,{"$f":"prog(LO2,$B3,LO7:LO13,LP7:LP13)","v":5.1040115441460955E-2}]
[]
["SUMMARY TABLE"]
["Country Name","Score"]
["Afghanistan",{"$f":"C32","v":7.0776717938579689E-2}]
["Albania",{"$f":"E32","v":3.4850373410056069E-2}]
["Algeria",{"$f":"G32","v":1.669044490877573E-2}]
["Angola",{"$f":"I32","v":2.0303709108790573E-2}]
["Antigua and Barbuda",{"$f":"K32","v":6.067209475224692E-2}]
["Argentina",{"$f":"M32","v":8.9146171315998366E-3}]
["Armenia",{"$f":"O32","v":4.7098974353283847E-3}]
["Australia",{"$f":"Q32","v":1.6469693482572805E-2}]
["Austria",{"$f":"S32","v":1.5175674015417676E-2}]
["Azerbaijan",{"$f":"U$32","v":3.2524810941947737E-3}]
["Bahamas, The",{"$f":"W$32","v":0},"No Personal Income Tax"]
["Bahrain",{"$f":"Y$32","v":0},"No Personal Income Tax"]
["Bangladesh",{"$f":"AA$32","v":8.9353124805839498E-2}]
["Barbados",{"$f":"AC$32","v":1.4178200681144984E-2}]
["Belarus",{"$f":"AE$32","v":0}]
["Belgium",{"$f":"AG$32","v":5.7963782701631423E-3}]
["Belize",{"$f":"AI$32","v":6.5645616803182857E-2}]
["Benin",{"$f":"AK$32","v":4.0136074154535274E-2}]
["Bhutan",{"$f":"AM$32","v":3.8698678320896164E-2}]
["Bolivia",{"$f":"AO$32","v":0}]
["Botswana",{"$f":"AQ$32","v":3.0180923058812519E-2}]
["Brazil",{"$f":"AS$32","v":2.4633751626482441E-2}]
["Bulgaria",0,"FLAT TAX SYSTEM"]
["Burkina Faso",{"$f":"AW$32","v":5.1256494331273363E-2}]
["Burundi",{"$f":"AY$32","v":8.7708191092324458E-2}]
["Cabo Verde",{"$f":"BA$32","v":2.8425907457479787E-2}]
["Cambodia",{"$f":"BC$32","v":0.111552582241688}]
["Cameroon",{"$f":"BE$32","v":5.7134152823378116E-2}]
["Canada",{"$f":"BG$32","v":2.0832590554644519E-2}]
["Central African Republic",{"$f":"BI$32","v":0.15697907895710464}]
["Chad",{"$f":"BK$32","v":0.10446551844696199}]
["Chile",{"$f":"BM$32","v":8.5457772425500386E-2}]
["China",{"$f":"BO$32","v":8.7581185573512729E-2}]
["Colombia",{"$f":"BQ$32","v":6.3320237674309318E-2}]
["Congo, Dem. Rep.",{"$f":"BS$32","v":6.4279385207330828E-2}]
["Congo, Rep.",{"$f":"BU$32","v":2.3453241945156449E-2}]
["Costa Rica",{"$f":"BW$32","v":3.4686360641113446E-2}]
["Cote d'Ivoire",{"$f":"BY$32","v":5.8972606367041415E-2}]
["Croatia",{"$f":"CA$32","v":2.2790798626927383E-2}]
["Cuba",{"$f":"CC$32","v":4.6446448626441018E-2}]
["Cyprus",{"$f":"CE$32","v":2.5752008175820944E-2}]
["Czech Republic",{"$f":"CG$32","v":1.8403066146650476E-2}]
["Denmark",{"$f":"CI$32","v":9.2894161506362014E-3}]
["Djibouti",{"$f":"CK$32","v":9.5467539448754E-3}]
["Dominican Republic",{"$f":"CM$32","v":2.7718860375491688E-2}]
["Ecuador",{"$f":"CO$32","v":0.11952623009679479}]
["Egypt, Arab Rep.",{"$f":"CQ$32","v":1.6115167172290484E-2}]
["El Salvador",{"$f":"CS$32","v":6.0570169011973686E-2}]
["Estonia",{"$f":"CU$32","v":0}]
["Eswatini",{"$f":"CW$32","v":4.3275516486959299E-2}]
["Ethiopia",{"$f":"CY$32","v":3.7789029219416438E-2}]
["Fiji",{"$f":"DA$32","v":8.58035640959776E-2}]
["Finland",{"$f":"DC$32","v":2.1641394036538013E-2}]
["France",{"$f":"DE$32","v":2.5061880197730851E-2}]
["Gambia, The",{"$f":"DG$32","v":2.5761750803711719E-2}]
["Georgia",0,"FLAT TAX SYSTEM"]
["Germany",{"$f":"DK$32","v":2.1705424844573312E-2}]
["Ghana",{"$f":"DM$32","v":3.6921946503596849E-2}]
["Greece",{"$f":"DO$32","v":1.7713960465367145E-2}]
["Guatemala",{"$f":"DQ$32","v":3.2203405534939757E-2}]
["Guinea",{"$f":"DS$32","v":2.1019452394055376E-2}]
["Guinea-Bissau",{"$f":"DU$32","v":5.6389425111100934E-2}]
["Guyana",{"$f":"DW$32","v":3.5757137150536447E-3}]
["Haiti",{"$f":"DY$32","v":9.1200923179290225E-2}]
["Honduras",{"$f":"EA$32","v":8.0151921116581468E-2}]
["Hong Kong SAR, China",{"$f":"EC$32","v":6.2709219128105715E-3}]
["Hungary",0,"FLAT TAX SYSTEM"]
["Iceland",{"$f":"EG$32","v":5.8406113828522272E-3}]
["India",{"$f":"EI$32","v":8.456028276304399E-2}]
["Indonesia",{"$f":"EK$32","v":5.5017140074876049E-2}]
["Ireland",{"$f":"EM$32","v":5.7892154156344118E-3}]
["Israel",{"$f":"EO$32","v":3.165874279819373E-2}]
["Italy",{"$f":"EQ$32","v":1.1492547432879122E-2}]
["Jamaica",{"$f":"ES$32","v":1.7648002861087846E-2}]
["Japan",{"$f":"EU$32","v":4.3342801294250312E-2}]
["Jordan",{"$f":"EW$32","v":6.3159633434130266E-2}]
["Kazakhstan",0,"FLAT TAX SYSTEM"]
["Kenya",{"$f":"FA$32","v":2.4459091806515326E-2}]
["Kiribati",{"$f":"FC$32","v":8.103881789142546E-2}]
["Korea, Rep.",{"$f":"FE$32","v":3.7744213615749013E-2}]
["Kyrgyz Republic",{"$f":"FG$32","v":0}]
["Lao PDR",{"$f":"FI$32","v":1.3713402017038115E-2}]
["Latvia",{"$f":"FK$32","v":2.168005805812127E-2}]
["Lebanon",{"$f":"FM$32","v":8.2545762553738286E-2}]
["Lesotho",{"$f":"FO$32","v":1.9803592428455568E-2}]
["Liberia",{"$f":"FQ$32","v":6.0644137366951768E-2}]
["Lithuania",{"$f":"FS$32","v":2.8314071419320668E-2}]
["Luxembourg",{"$f":"FU$32","v":8.0602110902080835E-3}]
["Madagascar",{"$f":"FW$32","v":5.6029975221771146E-2}]
["Malawi",{"$f":"FY$32","v":4.5554134477319409E-2}]
["Malaysia",{"$f":"GA$32","v":3.580059828456298E-2}]
["Maldives",{"$f":"GC$32","v":0},"No Personal Income Tax"]
["Mali",{"$f":"GE$32","v":5.9990655083808776E-2}]
["Malta",{"$f":"GG$32","v":1.9738691829424487E-2}]
["Mauritania",{"$f":"GI$32","v":3.8955577251341723E-2}]
["Mauritius",{"$f":"GK$32","v":1.1377892597725295E-2}]
["Mexico",{"$f":"GM$32","v":2.9211140961707665E-2}]
["Moldova",0,"FLAT TAX SYSTEM"]
["Mongolia",0,"FLAT TAX SYSTEM"]
["Morocco",{"$f":"GS$32","v":4.1710611855451364E-2}]
["Mozambique",{"$f":"GU$32","v":4.8806434349476659E-2}]
["Myanmar",{"$f":"GW$32","v":0.10429828874922091}]
["Namibia",{"$f":"GY$32","v":4.4308002730791642E-2}]
["Nepal",{"$f":"HA$32","v":9.8081888413366888E-2}]
["Netherlands",{"$f":"HC$32","v":1.748216847209964E-2}]
["New Zealand",{"$f":"HE$32","v":1.0077815571386243E-2}]
["Nicaragua",{"$f":"HG$32","v":6.9661383331214119E-2}]
["Niger",{"$f":"HI$32","v":1.9319442126055558E-2}]
["Nigeria",{"$f":"HK$32","v":2.3983310399213458E-2}]
["North Macedonia",{"$f":"HM$32","v":2.8162038943701211E-2}]
["Norway",{"$f":"HO$32","v":7.8425684762134882E-3}]
["Occupied Palestinian Territory",{"$f":"HQ$32","v":9.6566785592862178E-2}]
["Oman",{"$f":"HS$32","v":0},"No Personal Income Tax"]
["Pakistan",{"$f":"HU$32","v":0.1362423362102855}]
["Panama",{"$f":"HW$32","v":3.4463407603597597E-2}]
["Papua New Guinea",{"$f":"HY$32","v":5.113665967766582E-2}]
["Paraguay",{"$f":"IA$32","v":2.0446280397013166E-2}]
["Peru",{"$f":"IC$32","v":6.4872529180412905E-2}]
["Philippines",{"$f":"IE$32","v":5.123886620131516E-2}]
["Poland",{"$f":"IG$32","v":1.4433499988080004E-2}]
["Portugal",{"$f":"II$32","v":2.3251460718883881E-2}]
["Romania",0,"FLAT TAX SYSTEM"]
["Russian Federation",0,"FLAT TAX SYSTEM"]
["Rwanda",{"$f":"IO$32","v":1.8925622317925977E-2}]
["Samoa",{"$f":"IQ$32","v":3.3401409876893363E-2}]
["Sao Tome and Principe",{"$f":"IS$32","v":4.1264874227249927E-2}]
["Senegal",{"$f":"IU$32","v":4.4996700856755591E-2}]
["Serbia",{"$f":"IW$32","v":3.3721464794085144E-2}]
["Seychelles",{"$f":"IY$32","v":3.28320273369073E-2}]
["Sierra Leone",{"$f":"JA$32","v":5.5463195797317767E-2}]
["Singapore",{"$f":"JC$32","v":2.8399253661965312E-2}]
["Slovak Republic",{"$f":"JE$32","v":1.0162633725128526E-2}]
["Slovenia",{"$f":"JG$32","v":2.1906034334182516E-2}]
["Solomon Islands",{"$f":"JI$32","v":2.4194902164016357E-2}]
["South Africa",{"$f":"JK$32","v":4.9227006364965832E-2}]
["South Sudan",{"$f":"JM$32","v":9.0533264307081449E-3}]
["Spain",{"$f":"JO$32","v":1.6018344344771267E-2}]
["Sri Lanka",{"$f":"JQ$32","v":4.4176288282216349E-2}]
["St. Lucia",{"$f":"JS$32","v":1.1101965358801516E-2}]
["St. Vincent and the Grenadines",{"$f":"JU$32","v":5.4748157012455652E-3}]
["Sweden",{"$f":"JW$32","v":1.0493250551154168E-2}]
["Switzerland",{"$f":"JY$32","v":1.4508214200717498E-2}]
["Tajikistan",{"$f":"KA$32","v":1.9251025413842642E-3}]
["Tanzania",{"$f":"KC$32","v":4.0029551127184017E-2}]
["Thailand",{"$f":"KE$32","v":6.9198705117214529E-2}]
["Timor-Leste",{"$f":"KG$32","v":5.9145154366263032E-2}]
["Togo",{"$f":"KI$32","v":0.1625650477496309}]
["Tonga",{"$f":"KK$32","v":5.1812235667017793E-2}]
["Trinidad and Tobago",{"$f":"KM$32","v":1.8085820853942985E-2}]
["Tunisia",{"$f":"KO$32","v":2.5880903647771552E-2}]
["Turkey",{"$f":"KQ$32","v":1.7480016027171013E-2}]
["Uganda",{"$f":"KS$32","v":3.0004416168212849E-2}]
["Ukraine",{"$f":"KU$32","v":0},"FLAT TAX SYSTEM"]
["United Kingdom",{"$f":"KW$32","v":2.0127101506277206E-2}]
["United States",{"$f":"KY$32","v":2.7441265135294029E-2}]
["Uruguay",{"$f":"LA$32","v":5.1264929440130759E-2}]
["Uzbekistan",0,"FLAT TAX SYSTEM"]
["Vanuatu",{"$f":"LE$32","v":0},"No Personal Income Tax"]
["Venezuela, RB",{"$f":"LG$32","v":3.7912819614080141E-2}]
["Vietnam",{"$f":"LI$32","v":7.7679220514181455E-2}]
["Yemen, Rep.",0,"FLAT TAX SYSTEM"]
["Zambia",{"$f":"LM$32","v":2.3103604039246089E-2}]
["Zimbabwe",{"$f":"LO$32","v":5.1040115441460955E-2}]

{"sheet":"T_Source_HTPAnalysis","index":43,"n_rows":159,"n_cols":8,"rows_kept":159,"cut":false,"hidden":false,"merged":[]}
["HTP Analysis"]
[]
["Countries",null,"Existence of HTP",null,"Name of HTP Identified",null,"EU Commission Scoreboard","OECD Peer Review"]
[]
["Afghanistan",null,"NO",null,"N/A",null,"N/A","N/A"]
["Albania",null,"NO",null,"N/A",null,"No","N/A"]
["Algeria",null,"NO",null,"N/A",null,"N/A","N/A"]
["Angola",null,"YES",null,"Exemptions from CIT are provided for non-resident shipping and airline operators. Ad hoc tax holidays.",null,"N/A","N/A"]
["Antigua and Barbuda",null,"YES",null,"International Business Corporations act.",null,"Yes","N/A"]
["Argentina",null,"YES",null,"Mining activity incentives, Free Trade Zones, Export incentives",null,"N/A","Yes"]
["Armenia",null,"YES",null,"Free Economic Zone. Export Oriented programme.",null,"Yes","N/A"]
["Australia",null,"NO",null,"N/A",null,"No","Yes"]
["Austria",null,"NO",null,"N/A",null,"No","No"]
["Azerbaijan",null,"YES",null,"Special Economic Regime for Export-Oriented Oil and Gas Activities; Special Economic Zones",null,"N/A","N/A"]
["Bahrain",null,"NO",null,"N/A",null,"No","N/A"]
["Bangladesh",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Barbados",null,"YES",null,"1) Credit for foreign currency earnings / Credit for overseas project or services. 2) International societies with restricted liability 3) International Trusts 4) Shipping Regime. 5) Fiscal incentives act 6) Exempt insurance 7) Qualifying insurance companies 8) International business companies 9) international financial services 10) International trusts 11) International business companies.",null,"Yes","Yes"]
["Belarus",null,"YES",null,"Free Economic Zones. High Technologies Park. Holding Company Regime.",null,"N/A","N/A"]
["Belgium",null,"YES",null,"Patent Box and Notional Interest Deduction",null,"No","Yes"]
["Belize",null,"YES",null,"International Business Companies.",null,"Yes","Yes"]
["Benin",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Bhutan",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Brazil",null,"YES",null,"EU Commission Scoreboard",null,"Yes","Yes"]
["Bolivia",null,"NO",null,"N/A",null,"N/A","N/A"]
["Botswana",null,"YES",null,"International financial services company",null,"Yes","Yes"]
["Bulgaria",null,"NO",null,"N/A",null,"N/A","N/A"]
["Burkina Faso",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Burundi",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Cabo Verde",null,"YES",null,"International Business Center of Cabo Verde. Special shipping regime. ",null,"Yes","N/A"]
["Cambodia",null,"YES",null,"Tax incentive for Rice export.",null,"N/A","N/A"]
["Cameroon",null,"YES",null,"The Private Investment Tax Incentive regime",null,"N/A","N/A"]
["Canada",null,"YES",null,"Life Insurance Business",null,"No","Yes"]
["Central African Republic",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Chile",null,"YES",null,"Business Platform Regime",null,"Yes","Yes"]
["China",null,"YES",null,"Reduced Rate for high and new tech enterprises.",null,"Yes","Yes"]
["Colombia",null,"YES",null,"Free Trade Zones",null,"Yes","Yes"]
["Congo, Dem. Rep.",null,"YES",null,"Tax holidays in Investment Regime",null,"N/A","N/A"]
["Congo, Rep.",null,"YES",null,"Preferential Development Zone Regime, Institution of preferential tax regime for special economic and industrial zones and health free zones. ",null,"N/A","N/A"]
["Costa Rica",null,"YES",null,"Free Zone for Export Oriented Business",null,"Yes","Yes"]
["Cote d'Ivoire",null,"YES",null,"CIT exemptions for mining, investment zones and petroleum service contractors",null,"N/A","N/A"]
["Croatia",null,"NO",null,"N/A",null,"No","No"]
["Cyprus",null,"YES",null,"Patent Box, Notional Interest Deduction, holding and financing company regimes.",null,"No","N/A"]
["Czech Republic",null,"NO",null,"N/A",null,"No","No"]
["Denmark",null,"NO",null,"N/A",null,"No","No"]
["Djibouti",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Dominican Republic",null,"YES",null,"Export Free Trade Zones",null,"N/A","N/A"]
["Ecuador",null,"NO",null,"N/A",null,"N/A","N/A"]
["Egypt, Arab Rep.",null,"YES",null,"Free Zone Entity Regime",null,"N/A","N/A"]
["El Salvador",null,"YES",null,"Free Zone Law and Law of International Services",null,"N/A","N/A"]
["Estonia",null,"NO",null,"N/A",null,"No","No"]
["Ethiopia",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Fiji",null,"YES",null,"Tax holidays, Tax Free Regions",null,"Yes ","N/A"]
["Finland",null,"NO",null,"N/A",null,"No","No"]
["France",null,"YES",null,"Patent Box",null,"No","Yes"]
["Gambia, The",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Georgia",null,"YES",null,"1) Free industrial zone 2) special trade company 3) virtual zone person 4) International financial company. ",null,"Yes","Yes"]
["Germany",null,"NO",null,"N/A",null,"No","No"]
["Ghana",null,"YES",null,"Free Zone developers/enterprises",null,"N/A","N/A"]
["Greece",null,"YES",null,"Offshore Engineering and construction",null,"No","Yes"]
["Guatemala",null,"YES",null,"Export oriented zones",null,"N/A","N/A"]
["Guinea",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Guinea-Bissau",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Guyana",null,"YES",null,"Tax holidays available",null,"N/A","N/A"]
["Haiti",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Honduras",null,"YES",null,"Free Trade Zones; International Services Companies",null,"N/A","N/A"]
["Hungary",null,"YES",null,"Patent Box",null,"No","Yes"]
["Iceland",null,"NO",null,"N/A",null,"No","No"]
["India",null,"YES",null,"1) Deductions in respect of certain incomes\nof offshore banking units and\ninternational financial services centre \n2) Special provisions in respect of newly established units in special economic zones\n3) Special provisions relating to income of shipping companies – tonnage tax scheme\n4) India Taxation of profit and gains of life insurance business 5) Patent Box",null,"Yes","Yes"]
["Indonesia",null,"YES",null,"1) Public/listed company regime  2) Investment allowance regime 3) Special economic zone regime 4) Tax holiday regime",null,"Yes","Yes"]
["Ireland",null,"YES",null,"Patent Box (Knowledge Development Box)",null,"No","Yes"]
["Israel",null,"YES",null,"Patent Box (Special Preferred Technology Enterprise regime)",null,"Yes","Yes"]
["Italy",null,"YES",null,"Patent Box",null,"No","Yes"]
["Jamaica",null,"YES",null,"Special Econonic Zone.  Preferential regime.",null,"Yes","No"]
["Japan",null,"YES",null,"1) Special zones for international competitiveness development  2) Japan Measures for the promotion of research and development",null,"No","Yes"]
["Jordan",null,"YES",null,"Development Zones and free trade zones",null,"Yes","Yes"]
["Kazakhstan",null,"YES",null,"Special Economic Zones and Astana International Financial Centre",null,"N/A","N/A"]
["Kenya",null,"YES",null,"Export Processing Zones; Special Economic Zones",null,"N/A","Yes"]
["Kiribati",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Korea, Rep.",null,"YES",null,"1) Patent Box 2) Foreign investment zone 3) free economic zone/free trade zone 4) Special taxation for transfer, acquisition, etc. of techonology",null,"Yes","Yes"]
["Kosovo",null,"NO",null,"N/A",null,"N/A","N/A"]
["Kyrgyz Republic",null,"YES",null,"Special Economic Zones",null,"N/A","N/A"]
["Lao PDR",null,"YES",null,"Tax holidays ",null,"N/A","N/A"]
["Latvia",null,"YES",null,"Free Ports and special economic zones",null,"No","Yes"]
["Lebanon",null,"YES",null,"Holding and offshore companies regime",null,"N/A","N/A"]
["Lesotho",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Liberia",null,"N/A",null,"N/A",null,"N/A","Yes"]
["Lithuania",null,"YES",null,"Free Economic Zone Taxation Regime",null,"No","Yes"]
["Luxembourg",null,"YES",null,"Patent Box (Intellectual Property Regime); Venture Capital Vehicle; Financial Participation company; Financial services companies regime; rulings",null,"No","Yes"]
["Madagascar",null,"YES",null,"Free Zone Law",null,"N/A","N/A"]
["Malawi",null,"NO",null,"N/A",null,"N/A","N/A"]
["Malaysia",null,"YES",null,"1) Biotechnology industry 2) MSC Malaysia 3) Pioneer status 4) Foreign Fund Management 5) Approved Services Projects 6) Malaysian international trading company 7) special economic regions 8) green technology services 9) Inward re-insurance and offshore insurance regime 10) Labuan financial services 11) Labuan leasing 12) Principal hub 13) R&D tax incentives similar to patent boxes",null,"Yes","Yes"]
["Maldives",null,"YES",null,"N/A",null,"Yes","N/A"]
["Mali",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Malta",null,"YES",null,"Notional Interest Deduction",null,"No","Yes"]
["Mauritania",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Mauritius",null,"YES",null,"1) Shipping regime 2) Freeport zone 3) Captive insurance 4) Segment B banking 5) Investment banking 6) Global treasury activities 7) Global business license 1 & 2 8) Global headquarters administration regime",null,"Yes","Yes"]
["Mexico",null,"YES",null,"Economic Zones",null,"N/A","No"]
["Moldova",null,"YES",null,"Free entrepreneuria zones",null,"N/A","N/A"]
["Mongolia",null,"YES",null,"Free Trade Zones",null,"No","N/A"]
["Morocco",null,"YES",null,"Exemptions for Export Companies and Export Mining companies. Free Trade Zones. ",null,"Yes","N/A"]
["Mozambique",null,"NO",null,"N/A",null,"N/A","N/A"]
["Myanmar",null,"YES",null,"Foreign Investment Law and Special Economic Zones",null,"N/A","N/A"]
["Namibia",null,"YES",null,"Export Processing Zones",null,"Yes","N/A"]
["Nepal",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Netherlands",null,"YES",null,"Patent Box,excess profit schemes",null,"No","Yes"]
["New Zealand",null,"NO",null,"N/A",null,"N/A","No"]
["Nicaragua",null,"YES",null,"Free Trade Zones",null,"N/A","N/A"]
["Nigeria",null,"YES",null,"Export processing zones, free trade zones and tax holidays",null,"N/A","Yes"]
["Norway",null,"NO",null,"N/A",null,"No","No"]
["Occupied Palestinian Territory",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Oman",null,"YES",null,"Large tax exemptions available",null,"No","N/A"]
["Pakistan",null,"NO",null,"N/A",null,"N/A","N/A"]
["Panama",null,"YES",null,"1) Shipping regime 2) Colon Free zone 3) Panama-Pacifico special economic zone 4) Multinational headquarters 5) City of knowledge technical zone",null,"Yes","Yes"]
["Papua New Guinea",null,"NO",null,"N/A",null,"N/A","N/A"]
["Paraguay",null,"YES",null,"Maquila taks exemptions; Duty and taks-free zones",null,"N/A","N/A"]
["Peru",null,"YES",null,"Special Zones - Centers of Export.",null,"Yes","Yes"]
["Philippines",null,"YES",null,"Export and free trade enterprises",null,"N/A","Yes"]
["Poland",null,"YES",null,"Special Economic Zones",null,"No","No"]
["Portugal",null,"YES",null,"Patent box; Madeira International Business Center",null,"No","Yes"]
["Romania",null,"NO",null,"N/A",null,"No","No"]
["Russian Federation",null,"YES",null,"Special Economic Zones; Free port of Vladivostok",null,"N/A","N/A"]
["Rwanda",null,"YES",null,"Tax holidays; preferential regime for international companies; ",null,"N/A","N/A"]
["Samoa",null,"YES",null,"EU Scoreboard",null,"Yes","N/A"]
["Sao Tome and Principe",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Senegal",null,"YES",null,"Free Export Company Status; CIT exemptions in Investment code",null,"N/A","N/A"]
["Serbia",null,"YES",null,"tax holiday of 10 years available",null,"No","N/A"]
["Seychelles",null,"YES",null,"1) International trade zone 2) Non-domestic insurance business 3) offshore banking 4) fund administration business 5) securities businesses under the securities act 6) reinsurance business 7) International business companies 8) Companies special license.",null,"Yes","Yes"]
["Sierra Leone",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Singapore",null,"YES",null,"1) Patent box (Intellectual Property Development Incentive) 2) Maritime sector incentive  3) Global trader programme  4) Insurance business development  5) Financial sector incentive 6) Aircraft leasing scheme 7) Finance and treasury centre",null,"Yes","Yes"]
["Slovak Republic",null,"YES",null,"Patent box",null,"No","No"]
["Slovenia",null,"NO",null,"N/A",null,"No","No"]
["Solomon Islands",null,"N/A",null,"N/A",null,"N/A","N/A"]
["South Africa",null,"YES",null,"International Shipping incentives; headquarter company regime and Special economic zones.",null,"Yes","Yes"]
["Spain",null,"YES",null,"Patent Box",null,"No","Yes"]
["Sri Lanka",null,"YES",null,"tax holidays",null,"N/A","N/A"]
["St. Lucia",null,"YES",null,"Tax holidays; Internatiional Business Companies",null,"Yes","N/A"]
["St. Vincent and the Grenadines",null,"N/A",null,"N/A",null,"Yes","N/A"]
["Eswatini",null,"YES",null,"Ad hoc tax holidays can be granted",null,"No","N/A"]
["Sweden",null,"No",null,"N/A",null,"No","No"]
["Switzerland",null,"YES",null,"1) Patent box 2) Auxiliary company regime\n3) Mixed company regime\n4) Holding company regime \n5) Federal level Commissionaire ruling regime",null,"Yes","Yes"]
["Tajikistan",null,"YES",null,"Free Economic Zones",null,"N/A","N/A"]
["Tanzania",null,"YES",null,"Export processing zones and special economic zones",null,"N/A","N/A"]
["Thailand",null,"YES",null,"1) International trade centre 2) International banking facilities 3) Treasury centre regime 4) International headquarters 5) Regional operating headquarters.",null,"Yes","Yes"]
["Timor-Leste",null,"NO",null,"N/A",null,"N/A","N/A"]
["Togo",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Tonga",null,"N/A",null,"N/A",null,"N/A","N/A"]
["Trinidad and Tobago",null,"YES",null,"Tax holidays and Free Zones",null,"Yes","Yes"]
["Tunisia",null,"YES",null,"Export Oriented Tax incentives",null,"Yes","N/A"]
["Turkey",null,"YES",null,"1) Technology development zones regime 2) Regional headquarters / regional management centre 3) Patent box (5/B regime)",null,"Yes","Yes"]
["Uganda",null,"YES",null,"Tax holidays for exporters",null,"N/A","N/A"]
["Ukraine",null,"NO",null,"N/A",null,"N/A","N/A"]
["United Kingdom",null,"YES",null,"Patent Box",null,"No","Yes"]
["United States",null,"YES",null,"Patent box (FDII)",null,"Yes","No"]
["Uruguay",null,"YES",null,"Free zones; holding companies regime; Shared Service Cenre activities",null,"Yes","Yes"]
["Uzbekistan",null,"YES",null,"Incentives for export activities",null,"N/A","N/A"]
["Vanuatu",null,"NO",null,"N/A",null,"N/A","N/A"]
["Venezuela",null,"NO",null,"N/A",null,"N/A","N/A"]
["Vietnam",null,"YES",null,"Export processing zones; tax holidays available ",null,"Yes","Yes"]
["Zimbabwe",null,"NO",null,"N/A",null,"N/A","N/A"]

{"sheet":"T_Source_HTP_EconomicInd","index":44,"n_rows":159,"n_cols":21,"rows_kept":159,"cut":false,"hidden":false,"merged":[[0,1,0,3],[0,5,0,8],[0,10,0,20]]}
[null,"INCOME FROM TRADE AND SERVICES",null,null,null,"HIGH LEVELS OF FDI",null,null,null,null,"WEIGHT OF PASSIVE INCOME"]
[null,"CRI Countries","Net export of Total Services to the EU2, (% GDP), 2016"," Total Trade in Goods and Services (% GDP), 2016",null,"CRI Countries","inward FDI Stock (% GDP),\n2016","outward FDI Stock (% GDP),\n2016","Inward minus outward FDI stock (% GDP), 2016",null,"CRI, Countries","Estimated net interest, based on loans derived from partner data in current US$ - data of 2016, IMF CDIS, as % of GDP (Worldbank, 2016)\n","Interest paid on equity and investment fund shares (IMF CDIS, 2016), as % of GDP (Worldbank, 2016)","Interest Received on equity and investment fund shares (IMF CDIS, 2016), as % of GDP (Worldbank, 2016)\n","Net interest on equity and investment fund shares (IMF CDIS, 2016), as % of GDP (Worldbank, 2016)","Net charges for the use of intellectual property n.i.e. (IMF CDIS, 2016) / as a percentage of GDP (Worldbank, 2016)","Charges for the use of intellectual property n.i.e., paid (IMF CDIS, 2016) / as a percentage of GDP (Worldbank, 2016)","Charges for the use of intellectual property n.i.e., recevied (IMF CDIS, 2016) / as a percentage of GDP (Worldbank, 2016)","Dividends and withdrawals from income of quasi-corporations, paid (IMF CDIS, 2016), as % of GDP (Worldbank, 2016)","Dividends and withdrawals from income of quasi-corporations, received (IMF CDIS, 2016), as % of GDP (Worldbank, 2016)","Net dividends and withdrawals from income of quasi-corporations (IMF CDIS, 2016), as % of GDP (Worldbank, 2016)"]
[]
[null,"Afghanistan",1.6081491189018981E-2,5.1070330764999996,null,"Afghanistan",7.1859566071999996,0.03,7.1559566071999994,null,"Afghanistan",-1.2473316858395536E-6,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Albania",-5.5401226588898825E-3,0.16940866459922352,null,"Albania",40.740029225199997,3.3406681005999999,37.399361124599999,null,"Albania",9.2175674650986589E-4,1.0483162786016935E-3,8.8016145269692853E-7,-1.0443103374028772E-3,-1.7118053800799628E-3,1.939580879558407E-3,2.2777549947844436E-4,6.2488268795673563E-3,1.7536252296100597E-4,6.073464356606351E-3]
[null,"Algeria",1.1929421010184446E-2,20.694791642399998,null,"Algeria",16.7360543956,1.1299999999999999,15.606054395600001,null,"Algeria",2.0433680958029818E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Angola",2.7165418223335434E-2,26.885089120500002,null,"Angola",42.168547221300003,27.16,15.008547221300002,null,"Angola",1.2099090618748142E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Antigua and Barbuda",-2.9884958337128235E-3,1.9371430411896554E-2,null,"Antigua and Barbuda",212.7804456579,"…","N/A",null,"Antigua and Barbuda",1.7275832818881666E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Argentina",3.9170118548031638E-3,12.5279558275,null,"Argentina",16.093886581500001,7.08,9.0138865814999996,null,"Argentina",4.9659746491839565E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Armenia",4.5831610014315585E-3,0.14106793193486916,null,"Armenia",43.716570271199998,5.2133320604,38.503238210799999,null,"Armenia",6.5339915260837823E-4,2.8022696877894387E-3,1.9274883316369794E-4,-2.6070208142398967E-3,"N/A","N/A","N/A",6.5789084148491928E-3,"N/A","N/A"]
[null,"Australia",7.9230802533562152E-3,0.13947694656412865,null,"Australia",45.335931588299999,31.599799977899998,13.736131610399999,null,"Australia",4.5190925560219678E-3,3.4708593689501792E-3,3.676804538183116E-4,-3.1032168889039724E-3,-2.1355912937019291E-3,2.7996053396390553E-3,6.6401404593712616E-4,8.2701421195191301E-3,7.5729861358253608E-3,6.9715598369376964E-4]
[null,"Austria",-1.3187401433925954E-2,0.38689541721386778,null,"Austria",40.607237486499997,52.052180571000001,-11.4449430845,null,"Austria",1.0548048051311715E-3,4.7737450739083762E-3,5.4600838122709546E-3,6.8628636534107525E-4,-2.1262303759325783E-3,4.5571620852996814E-3,2.4309317093671031E-3,2.1517564958703564E-2,2.068195718727699E-2,8.356077714265737E-4]
[null,"Azerbaijan",1.732781408505657E-2,46.463428145899996,null,"Azerbaijan",71.674991705300002,48.03,23.644991705300001,null,"Azerbaijan",3.9888787791176065E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Bahrain",1.3374023790798934E-2,0.35982951846177241,null,"Bahrain",87.650633756299996,45.3328817019,42.317752054400003,null,"Bahrain",2.9647981671124743E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Bangladesh",6.5405720285181932E-4,17.046709179400001,null,"Bangladesh",6.6665714164000001,0.1,6.5665714164000004,null,"Bangladesh",4.2426227947241957E-5,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Barbados",-1.6720343720487234E-2,0.10921321633723823,null,"Barbados",150.7623036082,90.593317540200005,60.168986068000002,null,"Barbados",1.455895626642939E-2,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Belarus",1.1944863182499604E-2,63.096164888600001,null,"Belarus",23.6452740087,0.86,22.7852740087,null,"Belarus",5.0731145762182941E-4,1.4575839629182774E-3,"N/A","N/A",-2.0461019450517064E-3,2.6325105437366284E-3,5.8640859868492202E-4,1.6837098685982186E-2,4.5773620832600026E-4,1.6379362477656187E-2]
[null,"Belgium",2.4683959951047201E-2,0.87463898493247794,null,"Belgium",101.1812116835,96.561281828399999,4.6199298550999996,null,"Belgium",4.256542434618346E-3,1.0421314481537519E-2,1.9712828020110859E-2,9.2915426341467107E-3,7.7350556986900416E-4,6.7172529210608118E-3,7.490758490929816E-3,2.8265348827402746E-2,3.7167697924213497E-2,-8.9023490968107473E-3]
[null,"Belize",7.0644994543679285E-2,0.15360688633797251,null,"Belize",123.50310478839999,4.0541899356000002,119.4489148528,null,"Belize",8.5342923554594685E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Benin",6.8422530458730636E-3,24.819394532299999,null,"Benin",19.368732808800001,2.12,17.2487328088,null,"Benin",9.2899568328653082E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Bhutan","n/a",28.942053836100001,null,"Bhutan",7.7953901251,"…","N/A",null,"Bhutan",null,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Bolivia",6.2978938651565572E-3,24.265810790300002,null,"Bolivia (Plurinational State of)",32.349849603199999,1.72,30.6298496032,null,"Bolivia (Plurinational State of)",5.9756363375525429E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Botswana",1.2118382535273153E-2,0.43719604250932143,null,"Botswana",39.664178162399999,10.026692240899999,29.637485921500001,null,"Botswana",5.7241682416581531E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Brazil",2.835653976534268E-3,0.10597051491090916,null,"Brazil",35.324673602899999,9.7326502152999996,25.592023387600001,null,"Brazil",2.3499754197638238E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Bulgaria",-2.847767113705248E-2,0.51307037657356613,null,"Bulgaria",84.553044448899996,4.2385412306000001,80.314503218300004,null,"Bulgaria",2.4512003026950328E-3,6.0691745237166934E-3,9.8426153645122323E-4,-5.1000000000000004E-3,-2.1914846079725998E-3,3.1231520165218491E-3,9.3166740854924951E-4,1.5340767928150353E-2,5.7496651967122022E-4,1.4765801408479133E-2]
[null,"Burkina Faso",5.4032793536500532E-3,25.5550816296,null,"Burkina Faso",17.227169534600002,0.15,17.077169534600003,null,"Burkina Faso",1.407899117674577E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Burundi",-4.1720430426923161E-3,6.3641328095,null,"Burundi",7.9201758268000004,0.16,7.7601758268000003,null,"Burundi",5.7814632795546152E-5,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Cabo Verde",-5.2944721941553252E-2,3.6919509904695481E-2,null,"Cabo Verde",100.6093512285,"…","N/A",null,"Cabo Verde",2.1784238097001909E-4,1.6266576057520727E-4,"N/A",null,-1.4755112995164194E-3,1.4843614278620975E-3,8.8501283456781066E-6,1.4224623945070838E-2,"N/A","N/A"]
[null,"Cambodia",-8.2340140288318011E-3,66.290603626000006,null,"Cambodia",83.680219287300005,3.24,80.44021928730001,null,"Cambodia",2.1287257494825352E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Cameroon",8.089900957549679E-3,"-",null,"Cameroon",23.010464245200001,0.96,22.050464245200001,null,"Cameroon",3.4675210997520313E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Canada",3.943837362973877E-3,0.26339584857729287,null,"Canada",62.154002865800003,79.311973966400004,-17.157971100600001,null,"Canada",1.2611174266135149E-3,2.0785698491150089E-3,2.7520000000000001E-5,6.7342770721140878E-4,-3.3993396988457195E-3,6.3160509557798443E-3,2.9167112569341252E-3,9.901188522873092E-3,7.9855506158559714E-3,1.9156379070171202E-3]
[null,"Central African Republic",1.8118407099075123E-2,"-",null,"Central African Republic",36.506660568999997,2.46,34.046660568999997,null,"Central African Republic",2.3907081697576829E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Chile",6.9808084741659398E-3,0.26425718941151832,null,"Chile",97.231627970299996,44.870555117899997,52.3610728524,null,"Chile",2.0320063806718749E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"China",7.123433307932005E-4,0.2064662637943149,null,"China",11.899465809900001,11.254332781900001,0.64513302800000005,null,"China",1.8851587271104952E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Colombia",5.0117665396205331E-3,0.12214033304848868,null,"Colombia",57.116186136800003,18.0186580574,39.0975280794,null,"Colombia",7.9401409029348526E-4,1.2305399596200396E-3,2.3128251153759955E-4,-9.9932309730475029E-4,-1.3157608558427155E-3,1.5193503952762369E-3,2.0358953943352138E-4,5.6102713572513431E-3,5.5128347300014442E-3,9.7436627249898811E-5]
[null,"Congo, Dem. Rep.",1.6171649390763865E-2,"-",null,"Congo, Dem. Rep.",55.151938560799998,3.49,51.661938560799996,null,"Congo, Dem. Rep.",4.3894361844661169E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Congo, Rep.",0.15004305918635674,"-",null,"Congo, Rep.",289.47115749310001,0.85,288.62115749309999,null,"Congo, Rep.",-3.5764423248169624E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Costa Rica",3.024736459369189E-3,0.17368749019879715,null,"Costa Rica",63.4370944064,5.3762546412000001,58.060839765200001,null,"Costa Rica",1.4743440446967112E-3,3.6122254345780129E-4,1.1759276321945292E-4,-2.4281147110726835E-4,"N/A",1.2528194741850308E-2,"N/A",1.7361270336608909E-2,2.1683799798164285E-4,1.7144432338627263E-2]
[null,"Cote d'Ivoire",5.1737228244537383E-3,36.534259834799997,null,"Côte d'Ivoire",21.851594821399999,0.41,21.441594821399999,null,"Côte d'Ivoire",6.8521131012752882E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Croatia",-8.299505955764104E-2,0.26385511731631806,null,"Croatia",55.542927771099997,9.9709153653999998,45.572012405700001,null,"Croatia",1.3164775772765299E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Cyprus",-1.7223150528599556E-2,9.8712998313913961E-2,null,"Cyprus",876.29592050660005,868.38823124600003,7.9076892606000202,null,"Cyprus",9.3334631950707556E-2,2.1749278610504356E-2,2.4710788858100508E-2,2.9619131511064386E-3,"N/A","N/A","N/A",4.2919984334384931E-2,5.0714732697734015E-2,-7.7947483633490876E-3]
[null,"Czech Republic",-3.9081047356690378E-3,0.85269525450824901,null,"Czech Republic",59.75,9.67,50.08,null,"Czech Republic",2.6598246426801902E-3,3.4513731047781243E-3,1.1398338963195611E-3,-2.3116891414912393E-3,-3.8423000278349872E-3,6.1269405224224742E-3,2.2846404945874874E-3,5.3934947370804912E-2,1.9564586548119771E-3,5.1978488715992935E-2]
[null,"Denmark",2.1175414180262343E-2,0.31273006879439896,null,"Denmark",31.910454703199999,58.282922337800002,-26.3724676346,null,"Denmark",-7.0554075052475503E-6,1.0601143588292966E-3,3.6616931628833914E-3,2.6017375833121085E-3,2.5888463770680596E-3,4.7734879518059039E-3,7.3623343288739635E-3,7.5919781569691617E-3,1.8310901844482596E-2,-1.0718923687513433E-2]
[null,"Djibouti","n/a","-",null,"Djibouti",93.982685946999993,"…","N/A",null,"Djibouti","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Dominican Republic",-4.7827136218253196E-3,23.1994340458,null,"Dominican Republic",46.455270016100002,0.9,45.555270016100003,null,"Dominican Republic",4.1005207999977877E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Ecuador",1.2321691180747786E-2,19.924490484900002,null,"Ecuador",16.3930692118,0.84,15.5530692118,null,"Ecuador",6.0187472445460543E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Egypt, Arab Rep.",-6.0261673797336812E-4,12.706676331600001,null,"Egypt, Arab Rep.",36.0344487574,2.4500000000000002,33.584448757399997,null,"Egypt, Arab Rep.",7.8058828307688108E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"El Salvador",5.404173670804811E-3,24.8646964285,null,"El Salvador",34.604099140099997,0.01,34.594099140099999,null,"El Salvador",5.5741174619710612E-4,"N/A",4.1196781511787864E-6,"N/A",-1.4279515006453967E-3,3.5113392921048143E-3,2.0833877914594179E-3,1.8083896241697442E-2,"N/A","N/A"]
[null,"Estonia",-3.3336321863863198E-2,0.57402575328376393,null,"Estonia",84.287648642600004,28.319779726499998,55.967868916100002,null,"Estonia",1.2312189735416896E-3,1.8237307723314841E-3,3.3411301122609162E-3,1.5157736708720053E-3,-1.652601377625331E-3,2.2008611255730295E-3,5.482597479476984E-4,2.7861273911418377E-2,1.048700127831783E-2,1.7374272633100547E-2]
[null,"Ethiopia",2.3664879181644282E-3,8.2351049250999999,null,"Ethiopia",20.533155191999999,"…","N/A",null,"Ethiopia",2.4087013227709894E-5,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Fiji",3.5272541813642214E-2,0.20411588550208254,null,"Fiji",88.000227785299998,1.9315545327000001,86.068673252599993,null,"Fiji",6.6361349862725146E-5,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Finland",3.0773720598941418E-2,0.25706785728369913,null,"Finland",34.855686566999999,51.561324440500002,-16.705637873499999,null,"Finland",2.134887861503594E-3,3.0444181415693696E-3,"N/A","N/A",7.5193486630080681E-3,3.8773710550874694E-3,1.1396719718095537E-2,"N/A",1.3026229774334826E-2,"N/A"]
[null,"France",4.7890866532688207E-3,0.20302262800170706,null,"France",28.4380113307,51.341046820300001,-22.903035489600001,null,"France",-4.6315375124421056E-4,2.3575516034540487E-3,2.4479129671010928E-3,9.037554872985298E-5,9.354325493064954E-4,5.4021978995987506E-3,6.3376304489052467E-3,5.2531416658709524E-3,2.2143499463398438E-2,-1.6890357797527483E-2]
[null,"Gambia, The",-5.0138583424299117E-2,"-",null,"Gambia, The",31.077815916900001,"…","N/A",null,"Gambia, The",2.6722921193255306E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Georgia",6.4745305868312451E-3,0.15754976505560472,null,"Georgia",100.3546137358,13.712013343900001,86.642600391900004,null,"Georgia",1.5856914015363224E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Germany",1.2308917979131164E-2,0.39353248258627282,null,"Germany",22.467763172600002,39.7879563073,-17.320193134699998,null,"Germany",-6.2665865849907243E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Ghana",9.8000879782316128E-3,40.251603633499997,null,"Ghana",69.469924234999993,0.85,68.619924234999999,null,"Ghana",4.2887947538200661E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Greece",-4.2529743769857707E-2,0.14731177435433024,null,"Greece",14.237813729000001,13.2981706824,0.93964304660000098,null,"Greece",6.9426703295507968E-4,4.2424268711539293E-4,6.4566680127215199E-5,-3.5942862444504668E-4,-8.7580540868611079E-4,1.2798216536726807E-3,4.0401624498656986E-4,2.9744294258720705E-3,1.538386393742371E-3,1.4360430321296994E-3]
[null,"Guatemala",3.5034567158307014E-4,19.305655678800001,null,"Guatemala",21.023251154099999,1.1599999999999999,19.863251154099999,null,"Guatemala",8.9865031560092102E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Guinea",6.8068894742708986E-3,"-",null,"Guinea",27.092881885299999,0.83,26.262881885300001,null,"Guinea",3.9912569405752029E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Guinea-Bissau",1.9509317854428596E-3,26.133754570699999,null,"Guinea-Bissau",14.423156820699999,0.98,13.443156820699999,null,"Guinea-Bissau",1.3828874089681588E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Guyana",1.8662542995929333E-2,"-",null,"Guyana",87.641566059799999,0.83,86.811566059800001,null,"Guyana",8.1757517539170248E-5,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Haiti",1.9150353014973172E-3,20.97,null,"Haiti",17.3916480404,0.03,17.361648040399999,null,"Haiti",7.8108979976611054E-5,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Honduras",3.3588758873404328E-3,30.37,null,"Honduras",65.886667228199997,9.68,56.206667228199997,null,"Honduras",1.8997734098568316E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Hungary",6.1590349918642755E-3,0.82399575868766761,null,"Hungary",62.8419038081,20.237798047399998,42.604105760700001,null,"Hungary",3.3365040244301516E-3,9.0562439223738044E-3,1.5084757494983463E-2,6.0287216940646763E-3,3.1420668139437963E-3,1.1082388650918344E-2,1.4224455464862139E-2,3.5523442943066794E-2,1.127499795854303E-2,2.4248444984523766E-2]
[null,"Iceland",-6.9936620326971639E-3,0.2824294899894968,null,"Iceland",50.1360312475,30.623663783400001,19.512367464099999,null,"Iceland",3.2793237021359802E-4,1.5424602868638948E-2,2.1955946876198541E-2,6.5304894914045156E-3,4.9815588763039388E-3,4.5915060319988762E-3,9.5730649083028158E-3,2.8636458370019918E-4,1.0012108220070811E-3,-7.1484623830688203E-4]
[null,"India",-6.821216249419201E-4,0.12678117775239764,null,"India",14.000089855900001,6.3355708713999999,7.6645189844999999,null,"India",2.9031336654250078E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Indonesia",1.7745747918827314E-3,0.17457984463858142,null,"Indonesia",24.901808611300002,6.2413230668999997,18.6604855444,null,"Indonesia",8.98029093456763E-4,1.1810883080025766E-3,7.8689517553540977E-5,-1.1024197986769695E-3,-1.7945850028696858E-3,1.843978324593409E-3,4.9393321723723115E-5,"N/A","N/A","N/A"]
[null,"Ireland",-2.5547201013416845E-3,0.43038392718560325,null,"Ireland",285.55959597539999,283.23955019160002,2.3200457837999702,null,"Ireland",1.8301333133192269E-2,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Israel",5.2220297773413514E-3,0.21243808147490884,null,"Israel",36.377877225500001,32.941077402399998,3.4367998230999999,null,"Israel",5.9360718888374245E-5,9.2841807075787219E-4,9.3030637869839685E-4,1.8883079405245575E-6,1.4539971142038557E-4,3.844909684897941E-3,3.9903093963183263E-3,4.0271314011585532E-3,5.5280214958854327E-3,-1.5008900947268793E-3]
[null,"Italy",3.2194931128127894E-3,0.25123394747890776,null,"Italy",18.921595776899998,25.146060351700001,-6.2244645747999998,null,"Italy",8.8184514782320899E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Jamaica",-1.0373417400530497E-2,8.8688252688080851E-2,null,"Jamaica",108.9896740435,4.3833962005,104.606277843,null,"Jamaica",3.8965577527430037E-5,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Japan",2.3867782936109242E-3,0.14254524615364009,null,"Japan",3.7952524134000001,28.471352613000001,-24.6761001996,null,"Japan",-1.4116428881839617E-6,8.5648656725092321E-5,3.2779177256526379E-4,2.4214283569946795E-4,3.9078789392960594E-3,3.9747193715622305E-3,7.8825983108582898E-3,3.288145306792925E-3,9.4666497091328902E-3,-6.1785044023399648E-3]
[null,"Jordan",8.3301582696913845E-3,0.20921370955416427,null,"Jordan",84.345365886099998,1.6070616654000001,82.738304220700002,null,"Jordan",6.9603854729345053E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Kazakhstan",2.4656611326120591E-2,32.216974805699998,null,"Kazakhstan",95.931926740199998,15.32,80.611926740200005,null,"Kazakhstan",4.7456843054310797E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Kenya",2.369108793254535E-3,13.642886450800001,null,"Kenya",16.2574083061,1.04,15.217408306100001,null,"Kenya",8.6217472969247967E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Kiribati",-2.4535990201981168E-2,"-",null,"Kiribati",9.1081432762999999,3.75,5.3581432762999999,null,"Kiribati",3.6134253666359009E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Korea, Rep.",3.8567476989659279E-3,0.3809442462134926,null,"Korea, Republic of",13.2788647286,21.977967431,-8.6991027023999994,null,"Korea, Republic of",2.4868025581732439E-4,3.8405788747866015E-4,8.0772617331535928E-4,4.2366828583669918E-4,-1.8913788067491512E-3,6.5839709728721749E-3,4.692592166123024E-3,6.2364765300317046E-3,3.8145026196957994E-3,2.4219739103359056E-3]
[null,"Kosovo","n/a","-",null,"Kosovo","…","…","N/A",null,"Kosovo",1.0561692599970172E-3,1.3437248622369009E-3,"N/A","N/A",-3.9294254558609867E-4,3.9540624918533497E-4,2.4637035992362649E-6,1.9042350072792293E-3,3.7415928279782172E-4,1.5300757244814077E-3]
[null,"Kyrgyz Republic",4.3988574601749701E-3,37.193159343200001,null,"Kyrgyzstan",83.675590940999996,0.03,83.645590940999995,null,"Kyrgyzstan",1.4745613451170433E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Lao PDR",-1.8750419292962073E-3,"-",null,"Lao PDR",41.072926019999997,0.14000000000000001,40.932926019999996,null,"Lao PDR",2.7853863591724764E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Latvia",4.2136542514394741E-3,0.42526495167210232,null,"Latvia",52.066906834100003,5.0208367398,47.046070094299999,null,"Latvia",1.7172360816273804E-3,2.366270063262477E-3,8.430760902636891E-4,-1.5215818355050054E-3,-1.1222501881781395E-3,1.3218849850855847E-3,1.9963479690744514E-4,2.4217139973252071E-2,2.6209504976078446E-3,2.1596189475644224E-2]
[null,"Lebanon",9.2982406145608598E-3,"-",null,"Lebanon",121.2200674731,26.75,94.470067473100002,null,"Lebanon",2.3605213986292216E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Lesotho",3.0153299762063187E-3,40.942556935600003,null,"Lesotho",14.042165341900001,"…","N/A",null,"Lesotho",1.8282373171627102E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Liberia",-0.1315390939379516,13.248114209400001,null,"Liberia",328.54290994439998,223.22,105.32290994439998,null,"Liberia",0.1394574340316328,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Lithuania",-1.9192212804882487E-2,0.6133265210610972,null,"Lithuania",32.4071467136,5.6147711104000004,26.7923756032,null,"Lithuania",1.2613222423992897E-3,1.5150826703664161E-3,6.1975519245495924E-4,-8.9521815054838954E-4,-9.0736216125448285E-4,1.5578013951868469E-3,6.5043923393236398E-4,3.4834565319001497E-2,9.3635624066372241E-4,3.3898209078337779E-2]
[null,"Luxembourg",-8.209387666813453E-2,0.22565457547486176,null,"Luxembourg",421.01659898840001,394.5788691313,26.437729857099999,null,"Luxembourg",7.8378582715164735E-2,0.57892633405009697,0.8107263826364538,0.23180035196860233,-2.6082787671527854E-2,5.2399208729154823E-2,2.6316421057626965E-2,0.91134435875726294,1.1260007063643858,-0.21465634760712285]
[null,"Madagascar",-1.6098078822832748E-2,28.0205320514,null,"Madagascar",59.771731326599998,0.18,59.591731326599998,null,"Madagascar",2.6586665378538288E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Malawi",3.580785398428587E-3,27.070157573199999,null,"Malawi",20.723299164099998,0.26,20.463299164099997,null,"Malawi",1.5982099580704773E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Malaysia",1.3375659506980838E-3,0.67218832607949386,null,"Malaysia",40.892967120800002,42.680441673600001,-1.7874745528,null,"Malaysia",1.8646179377484317E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Maldives",-0.10181571226233457,4.1955672540175577E-2,null,"Maldives",89.482225928000005,"…","N/A",null,"Maldives",1.6857744019668631E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Mali",-2.9730909296106422E-3,22.7110999993,null,"Mali",22.6535393566,0.32,22.333539356599999,null,"Mali",1.0618509346069925E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Malta",-0.15050889937109746,0.3744174521551652,null,"Malta",1686.9849884339999,649.34883781029998,1037.6361506236999,null,"Malta",-5.294741362703163E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Mauritania",-5.8696831327135542E-3,27.697236694400001,null,"Mauritania",133.56326255970001,0.72,132.84326255970001,null,"Mauritania",2.2800803931358169E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Mauritius",-1.9887515972546788E-2,0.22994695886038446,null,"Mauritius",38.760294749400003,7.3571527875999996,31.403141961799999,null,"Mauritius",3.6446555322205275E-2,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Mexico",4.1924602531444796E-3,36.540630866800001,null,"Mexico",46.612090730399999,11.16,35.452090730400002,null,"Mexico",1.9313569248546091E-3,"N/A","N/A","N/A",-4.3438032046782903E-4,5.8898875776652176E-4,1.5460843729869273E-4,5.9071803510069784E-3,7.3271921431913769E-4,5.1744611366878407E-3]
[null,"Moldova",-3.6689501337176751E-2,38.3136701647,null,"Moldova",54.382605357999999,3.13,51.252605357999997,null,"Moldova",1.1760971378311504E-3,3.1483740593116986E-3,2.2075658109997322E-4,-2.935025417174812E-3,-1.881616496623933E-3,2.8061272792171093E-3,9.2451078259317648E-4,8.1191011035426381E-3,1.1052644932924834E-3,7.013836610250155E-3]
[null,"Mongolia",2.9833023000037802E-3,43.429065577999999,null,"Mongolia",119.2598772278,3.6149323985000001,115.6449448293,null,"Mongolia",4.2356986740657392E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Morocco",-1.3642551172200748E-2,0.21756778095005136,null,"Morocco",53.045423081499997,5.1887124733999999,47.856710608100002,null,"Morocco",1.0002370441501848E-3,2.3265610295309703E-4,1.3709092528742686E-5,-2.1890219610969433E-4,-9.6157727549814819E-4,1.0062914525180123E-3,4.4714177019864132E-5,1.1657946776386485E-2,2.2477281350655278E-3,9.4102186413209561E-3]
[null,"Mozambique",2.8878347047187114E-2,34.308573443299998,null,"Mozambique",271.47439023409999,0.06,271.41439023409998,null,"Mozambique",8.5502136330409245E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Myanmar",1.2480659514863424E-3,"-",null,"Myanmar",33.182634516299998,"…","N/A",null,"Myanmar",9.6469751974319877E-5,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Namibia",-1.856731298228843E-2,0.40072729835881166,null,"Namibia",40.054567094200003,1.2292721773999999,38.825294916799997,null,"Namibia",1.285943171097716E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Nepal",-5.5753490075025848E-3,9.7737842298000004,null,"Nepal",2.9847233052000002,"…","N/A",null,"Nepal",4.1600221790563381E-5,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Netherlands",-1.9732141253205027E-4,0.6278544238281939,null,"Netherlands",104.6235346788,164.0200576574,-59.396522978599997,null,"Netherlands",-1.6361534380162322E-3,3.4932687394654847E-2,5.8885959334990391E-2,2.3953332083052319E-2,-1.0101288495446089E-2,6.249573992916134E-2,5.2394451433715253E-2,9.4527114033246443E-2,0.1836284094450939,-8.9101295411847442E-2]
[null,"New Zealand",5.1275940985984637E-3,25.858791199300001,null,"New Zealand",38.810086211399998,10.4,28.410086211399999,null,"New Zealand",7.5087487195344674E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Nicaragua",7.5168704499518832E-3,37.74,null,"Nicaragua",75.66,4.0199999999999996,71.64,null,"Nicaragua",1.0336032696901187E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Nigeria",4.71043641647671E-3,"-",null,"Nigeria",21.990576278500001,2.36,19.630576278500001,null,"Nigeria",1.1899424201209953E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Norway",3.130656458976476E-2,0.26750986129377186,null,"Norway",35.1171879037,48.511586173200001,-13.3943982695,null,"Norway",2.3106402822104851E-3,"N/A","N/A",-5.2614768021635727E-3,-4.8129030217215632E-4,1.5864961486347256E-3,1.1052058464625693E-3,9.3355963859550906E-3,1.5617311550579905E-2,-6.2817151646248131E-3]
[null,"Oman",2.4206452634529748E-2,0.49739447476189991,null,"Oman",25.806794885399999,11.6179480197,14.1888468657,null,"Oman",9.3171458135882441E-4,1.0556395618219987E-2,5.2948729561963026E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"OPT","n/a",20.190000000000001,null,"OPT","…","…","N/A",null,"OPT","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Pakistan",1.0156297851618722E-3,9.43,null,"Pakistan",13.6638107346,0.72,12.9438107346,null,"Pakistan",8.1955612487680783E-5,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Panama",1.5550237066988082E-3,1.3345832976141081E-2,null,"Panama",81.152294436299997,8.9290020585000001,72.223292377800007,null,"Panama",2.2632064602262246E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Papua New Guinea",1.2898852726353988E-2,42.185638309200002,null,"Papua New Guinea",20.341363397399999,2.29,18.051363397399999,null,"Papua New Guinea",1.1215553198333291E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Paraguay",2.3967000307867142E-3,43.528201467700001,null,"Paraguay",17.011621203200001,1.81,15.2016212032,null,"Paraguay",2.0397534494147606E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Peru",3.2091291382779687E-3,0.18093822032870857,null,"Peru",47.316338651099997,2.2007656500000001,45.115573001100003,null,"Peru",6.9097071754075333E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Philippines",-1.423094117610239E-3,24.072558069300001,null,"Philippines",21.196548852999999,14.97,6.2265488529999988,null,"Philippines",9.1764167048916676E-4,7.3829257379334767E-4,2.1434040097444815E-3,1.4051422572586836E-3,-1.7615577584772976E-3,1.7918750433547363E-3,3.0317284877438548E-5,9.1050852405805491E-3,4.8885398124681311E-4,8.616231259333737E-3]
[null,"Poland",-8.1216838957306296E-3,0.41528910644271649,null,"Poland",39.970347251100002,5.3299753736,34.640371877500002,null,"Poland",9.8296396042512192E-4,5.7025943204617145E-3,1.1859189825662569E-3,-4.5166753378954577E-3,-4.8136854587528385E-3,5.7726038489495255E-3,9.5891839019668704E-4,1.953265844809933E-2,1.1477319670274507E-3,1.838492648107188E-2]
[null,"Portugal",-1.6271388347602968E-2,0.27757131695449089,null,"Portugal",58.347462842399999,27.565252306800001,30.782210535600001,null,"Portugal",-1.5682640314605974E-3,5.4854820503573952E-3,1.154448852935001E-3,-4.3308587968267026E-3,-3.5077560272242739E-3,4.0023904714803094E-3,4.9463444425603537E-4,1.7691470905516406E-2,6.3521760292004903E-3,1.1339294876315915E-2]
[null,"Romania",-1.1091767522149874E-2,0.34137886728591582,null,"Romania",39.778599457299997,0.50436629519999998,39.274233162100003,null,"Romania",2.3875038002157951E-3,4.7197723733107015E-3,1.1903721752955851E-4,-4.6007793066414693E-3,-3.9128789140412514E-3,4.2851424673800379E-3,3.7226355333878615E-4,1.6653106892145879E-2,2.4975111274963519E-4,1.6403355779396243E-2]
[null,"Russian Federation",9.5422583576415723E-3,26.659835942800001,null,"Russian Federation",29.5304028999,26.16,3.3704028999000002,null,"Russian Federation",5.115490174783556E-4,5.0781156183181304E-3,2.1976007964614958E-3,-2.8805537880679001E-3,-3.4676810729304332E-3,3.8945637105851382E-3,4.2688263765470476E-4,1.8985320077026531E-2,6.2237222295208764E-3,1.2761597847505655E-2]
[null,"Rwanda",8.8021540426934802E-3,18.836272266999998,null,"Rwanda",26.838670730699999,0.2,26.638670730699999,null,"Rwanda",3.8488112079216279E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Samoa",3.8613076276054342E-2,3.7613282810439415E-2,null,"Samoa",8.9715603617999999,4.0626297862999996,4.9089305755000003,null,"Samoa",-1.7146270689087863E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"St. Lucia",-2.862928584069746E-2,0.12599175654959238,null,"Saint Lucia",183.30965938520001,"…","N/A",null,"Saint Lucia",1.3980707935118842E-4,1.0634566997736474E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"St. Vincent and the Grenadines",-0.68528761158553619,6.2047018660693599E-2,null,"Saint Vincent and the Grenadines",266.44030497199998,"…","N/A",null,"Saint Vincent and the Grenadines",-3.4316281640706916E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Sao Tome and Principe",1.5382171901208786E-2,29.521483568800001,null,"Sao Tome and Principe",115.330415378,0.95,114.380415378,null,"Sao Tome and Principe",1.2165673612159299E-6,"N/A","N/A","N/A","N/A",4.0176996155571988E-4,"N/A",1.0634566997736474E-4,"N/A","N/A"]
[null,"Senegal",6.302598764408248E-3,29.306333480300001,null,"Senegal",25.3629212592,2.77,22.592921259200001,null,"Senegal",1.4166940362482739E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Serbia",1.1217702185422234E-2,0.35939241371849556,null,"Serbia",68.482510520399998,6.8406373073999998,61.641873212999997,null,"Serbia",1.6923129734501159E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Seychelles",-0.13368947530123954,0.29812677224570128,null,"Seychelles",208.91336945430001,22.940206570400001,185.97316288389999,null,"Seychelles",2.4815736466976793E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Sierra Leone",8.904573462066601E-3,"-",null,"Sierra Leone",53.587970675599998,"…","N/A",null,"Sierra Leone",1.7620742480868065E-3,3.7290919990774322E-3,1.4542759342331493E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Singapore",1.246199388525246E-3,1.17,null,"Singapore",371.5543273623,231.2740578728,140.2802694895,null,"Singapore",6.0374642011793754E-3,1.725197030759261E-3,1.1438296989802357E-3,"N/A",-4.6926328313917243E-2,6.4908189635753982E-2,1.798186132183675E-2,"N/A","N/A","N/A"]
[null,"Slovak Republic",1.4481678767682981E-3,0.86237672085311978,null,"Slovakia",46.481983811600003,2.9606079249000001,43.5213758867,null,"Slovakia",3.2470242223753029E-3,"N/A","N/A",-2.2753133360901298E-3,-6.2133379002503536E-3,6.5463302488804626E-3,3.3299234863010899E-4,3.5790085142180884E-2,6.5796607617729717E-4,3.5132119066003588E-2]
[null,"Slovenia",-7.0801918224192104E-3,0.62152970339641322,null,"Slovenia",29.128864097899999,13.130578032500001,15.9982860654,null,"Slovenia",1.0327776890206638E-3,4.421441525636716E-4,1.4896613009687896E-3,-5.8067078482037669E-4,-3.2824290749428817E-3,4.9945662337078991E-3,1.7121371587650171E-3,1.1310084647897121E-2,2.4131786477472853E-3,8.8969060001498363E-3]
[null,"Solomon Islands",5.4827152674714281E-2,47.702659928800003,null,"Solomon Islands",49.774047143799997,4.67,45.104047143799995,null,"Solomon Islands",3.698736014602675E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"South Africa",8.5710292301463663E-3,0.25723408401386216,null,"South Africa",46.885152977499999,59.216606593500003,-12.331453615999999,null,"South Africa",1.3121445274615379E-3,"N/A","N/A",1.0476329913755864E-3,-6.4393232112478927E-3,6.8096750085424596E-3,3.7035179729456657E-4,2.0110101391210947E-2,5.7548187613461095E-3,1.4355282629864838E-2]
[null,"Spain",-1.7210018532912413E-2,0.23665509507966717,null,"Spain",45.422075654899999,42.113384509200003,3.3086911457000001,null,"Spain",2.4734372737422318E-3,"N/A","N/A","N/A",-2.4783207910839349E-3,4.0297516606402082E-3,1.5514308695562735E-3,"N/A","N/A","N/A"]
[null,"Sri Lanka",-6.4714779241483444E-3,21.4552787696,null,"Sri Lanka",11.6290538957,0.99,10.6390538957,null,"Sri Lanka",3.1330074342264042E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Swaziland",5.790778000390036E-3,0.45657717080019328,null,"Swaziland",13.8608055227,0.69741358909999995,13.1633919336,null,"Swaziland",1.0130025929916747E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Sweden",2.8088235219646582E-2,0.28243822784562989,null,"Sweden",56.916704679699997,75.110028087200007,-18.193323407499999,null,"Sweden",3.4744103441303913E-4,2.9907070521387768E-3,3.8980893586930453E-3,9.0738049633479732E-4,8.0866416406356126E-3,6.023102695741191E-3,1.4109744336376804E-2,"N/A",2.1050304495197826E-2,"N/A"]
[null,"Switzerland",2.8458832896956228E-2,0.31437982515022761,null,"Switzerland",118.88968341250001,169.52388194470001,-50.634198532200003,null,"Switzerland",7.7089666929116684E-3,9.6622801195196395E-3,1.529847784018178E-2,5.6362404545489998E-3,8.16919833195014E-3,1.8053197859836195E-2,2.6222396191786332E-2,4.1242250729198217E-2,6.3052546496684389E-2,-2.1810295767486179E-2]
[null,"Tajikistan",8.1733291097981723E-3,11.8681329336,null,"Tajikistan",33.7921825154,"…","N/A",null,"Tajikistan",9.4748626957243218E-4,5.1795692993715945E-3,"N/A","N/A","N/A","N/A","N/A",5.3331168601331719E-4,"N/A","N/A"]
[null,"Tanzania",-3.6505686995340356E-3,19.273678413300001,null,"Tanzania",41.169589240900002,"…","N/A",null,"Tanzania",1.2120609232414803E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Thailand",-6.8461095432829286E-3,0.52858223977871321,null,"Thailand",47.6320908844,21.6219428492,26.0101480352,null,"Thailand",8.8256678852797706E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Timor-Leste",5.8635434137264226E-3,3.5801283652000002,null,"Timor-Leste",11.9389820526,3.45,8.4889820526000008,null,"Timor-Leste",1.0538184389861705E-5,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Togo",3.3677716669352864E-3,36.558096685999999,null,"Togo",40.624004333999999,46.7,-6.0759956660000043,null,"Togo",3.227467985035897E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Tonga",6.338882927078543E-2,23.715961692899999,null,"Tonga",105.3579300904,26.31,79.047930090400001,null,"Tonga",5.1062541916151137E-6,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Trinidad and Tobago",1.3718550767384057E-2,0.30921683649679094,null,"Trinidad and Tobago",39.766600355000001,1.3227003696999999,38.4438999853,null,"Trinidad and Tobago",2.456985333821062E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Tunisia",-4.0941191959809796E-2,0.32610144316317691,null,"Tunisia",73.629599261600006,0.71866768660000002,72.910931575000006,null,"Tunisia",7.2875343216834609E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Turkey",-2.2578030210195065E-3,0.16737460859753447,null,"Turkey",18.695877652,5.3492366785999996,13.3466409734,null,"Turkey",3.829004619272608E-4,2.6050358850511772E-4,"N/A","N/A","N/A",8.845544071907108E-4,"N/A","N/A","N/A"]
[null,"Uganda",4.5645334773496173E-3,16.5460079096,null,"Uganda",41.123659535800002,0.32,40.803659535800001,null,"Uganda",3.2195951669331636E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A",{"$error":"#REF!"}]
[null,"Ukraine",2.7182916320204743E-2,49.269674242100002,null,"Ukraine",54.401656686800003,8.2100000000000009,46.191656686800002,null,"Ukraine",1.2487164377532522E-3,"N/A","N/A","N/A","N/A","N/A","N/A",2.4840390187957896E-2,1.70678940036262E-2,"N/A"]
[null,"United Kingdom",1.0210789335009249E-2,0.15219507129946444,null,"United Kingdom",46.147242604399999,55.689580003000003,-9.5423373986000009,null,"United Kingdom",3.8941267074158138E-3,5.0749368005180541E-3,3.9732601382108223E-3,-1.1016777481813499E-3,1.7271755612002686E-3,4.4285905324808784E-3,6.1557660936811471E-3,5.794794215675878E-3,2.4154774832579173E-3,-7.772496184331696E-3]
[null,"United States",-6.2698533662144723E-5,8.3417938854270485E-2,null,"United States",34.248206387700002,34.207792034599997,4.0414353100004498E-2,null,"United States",7.2841495018856665E-4,2.3361195416246633E-3,1.1626099527637691E-3,-1.1735095888608942E-3,4.2677176135166228E-3,2.2949908655143301E-3,6.5627084790309525E-3,"N/A","N/A",-3.3793167324179607E-3]
[null,"Uruguay",8.0261257976725793E-3,0.14531621039640569,null,"Uruguay",42.6575074016,0.12639966599999999,42.531107735600003,null,"Uruguay",6.3656697654871158E-5,"N/A","N/A","N/A","N/A","N/A","N/A",0,0,"N/A"]
[null,"Uzbekistan",6.4780180248219684E-4,"-",null,"Uzbekistan",12.54,"…","N/A",null,"Uzbekistan",7.3094221100112301E-5,"N/A","N/A",0,0,0,0,0,0,0]
[null,"Vanuatu",1.363337435577174E-2,5.2279984848877727E-2,null,"Vanuatu",69.613225815000007,3.0811503440000001,66.532075470999999,null,"Vanuatu",1.2081326317318595E-4,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A",0]
[null,"Venezuela","n/a","-",null,"Venezuela",2.73,2.5,20,null,"Venezuela","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Vietnam",8.7686748114978162E-4,0.83864660621269171,null,"Viet Nam",56.162632594599998,4.8564385508000001,51.306194043799998,null,"Viet Nam",1.1609811607847936E-3,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
[null,"Zimbabwe",1.0387290911751407E-2,"-",null,"Zimbabwe",31.59,4,27.6,null,"Zimbabwe",9.2009153585813184E-10,"N/A","N/A","N/A","N/A","N/A","N/A",0,0,"N/A"]
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{"sheet":"T_Source_IMFPCGDP","index":45,"n_rows":199,"n_cols":11,"rows_kept":199,"cut":false,"hidden":false,"merged":[]}
["IMF WEO Per Capita GDP, October 2019"]
[1,2,3,4,5,6,7,8,9,10,11]
["Country","Subject Descriptor","Units","Scale","Country/Series-specific Notes",2015,2016,2017,2018,2019,"Estimates Start After"]
["Afghanistan","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",36357.362999999998,38044.701999999997,38770.961000000003,39461.65,41152.368999999999,2016]
["Albania","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",497901.55800000002,511970.59,539371.34,565771.65099999995,594268.49399999995,2018]
["Algeria","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",418203.989,428900.97,445238.609,475809.103,471017.86099999998,2017]
["Angola","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",522854.87199999997,601736.73499999999,714051.25300000003,915486.63899999997,1044696.4840000001,2017]
["Antigua and Barbuda","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",40411.874000000003,42969.625,43441.279999999999,47153.707000000002,48894.557000000001,2011]
["Argentina","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",138053.315,188760.95600000001,241529.50599999999,327780.18900000001,479511.04499999998,2018]
["Armenia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",1686586.1459999999,1693240.34,1867598.102,2022565.5109999999,2202900.0389999999,2015]
["Aruba","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",44188.228999999999,43095.173000000003,43254.209000000003,45405.993999999999,46497.47,2017]
["Australia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",68423.834000000003,69874.623999999996,72998.953999999998,75413.911999999997,77567.839999999997,2018]
["Austria","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",39893.127,40760.356,41964.142999999996,43456.572999999997,44540.326999999997,2018]
["Azerbaijan","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",5668.7169999999996,6225.808,7161.201,8027.9520000000002,7971.9430000000002,2018]
["Bahamas, The","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",32268.959999999999,32417.995999999999,32629.171999999999,32996.798999999999,33261.315000000002,2018]
["Bahrain","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",8540.5689999999995,8517.116,9174.1190000000006,9581.51,9502.7039999999997,2016]
["Bangladesh","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",101611.772,114810.501,129492.819,146137.65100000001,164762.89000000001,2013]
["Barbados","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",33178.898999999998,33895.264000000003,34846.502,35516.165000000001,36138.769,2018]
["Belarus","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",9483.1569999999992,9996.7360000000008,11125.534,12807.448,13850.571,2018]
["Belgium","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",36583.873,37538.733,38687.946000000004,39522.962,40224.516000000003,2018]
["Belize","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",9623.1569999999992,9612.1470000000008,9656.7080000000005,9724.0939999999991,9850.3610000000008,2014]
["Benin","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",636615.40800000005,644319.16799999995,659941.43299999996,689423.55700000003,710594.353,2017]
["Bhutan","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",161630.62100000001,177768.367,195143.34400000001,212204.02499999999,232269.1,2015]
["Bolivia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",20927.432000000001,21231.638999999999,23109.663,24459.313999999998,25182.776999999998,2012]
["Bosnia and Herzegovina","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",8084.3119999999999,8501.741,8946.7019999999993,9535.5210000000006,9952.6790000000001,2018]
["Botswana","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",66117.322,75797.298999999999,78575.607999999993,81324.933000000005,84180.989000000001,2016]
["Brazil","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",29464.128000000001,30537.306,31678.600999999999,32733.067999999999,34277.642,2016]
["Brunei Darussalam","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",43108.65,37741.154000000002,38992.866000000002,41366.773000000001,37834.618999999999,2018]
["Bulgaria","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",12381.583000000001,13254.276,14332.205,15417.816000000001,16575.901000000002,2018]
["Burkina Faso","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",340269.446,345576.83600000001,373950.538,397391.217,417387.05300000001,2018]
["Burundi","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",462912.58399999997,493083.89399999997,540364.50399999996,552413.19799999997,586083.68599999999,0]
["Cabo Verde","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",297795.53899999999,307254.386,316803.08,333986.05699999997,351671.223,2017]
["Cambodia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",4730539.37,5151671.91,5606146.1880000001,6087302.9450000003,6571998.3830000004,2012]
["Cameroon","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",791317.50300000003,816747.78599999996,837339.17599999998,863699.68400000001,884626.55599999998,2010]
["Canada","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",55788.872000000003,56258.642999999996,58688.798999999999,59983.692999999999,61341.254000000001,2018]
["Central African Republic","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",209153.946,221278.64600000001,241464.66800000001,249146.93599999999,261656.90599999999,2004]
["Chad","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",559748.26199999999,510084.05099999998,480459.44099999999,491244.315,503025.26899999997,2004]
["Chile","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",8877141.8770000003,9325406.4299999997,9781600.9780000001,10196517.649,10472848.643999999,2017]
["China","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",50858.377999999997,53925.436999999998,58648.445,63382.447999999997,68203.702000000005,2018]
["Colombia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",16693815.738,17719332.074999999,18668222.024,19634663.833000001,20875775.363000002,2018]
["Comoros","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",558564.88399999996,566587.23600000003,568417.978,579366.51599999995,588527.36300000001,2015]
["Congo, Dem. Rep.","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",403742.14899999998,418845.17499999999,603465.43400000001,804974.85,844703.92799999996,1983]
["Congo, Rep.","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",1221961.76,1088211.909,1193395.767,1453230.7949999999,1480312.423,2017]
["Costa Rica","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",6036235.3590000002,6342295.1390000004,6647617.1540000001,6907859.2699999996,7181744.0029999996,2018]
["Cote d'Ivoire","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",826430.63100000005,860406.23300000001,887457.1,933264.10600000003,987837.61699999997,2015]
["Croatia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",80784.014999999999,84175.131999999998,88640.485000000001,93371.729000000007,98686.672999999995,2018]
["Cyprus","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",20951.396000000001,21796.281999999999,22986.142,23987.544999999998,24681.719000000001,2018]
["Czech Republic","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",436103.91600000003,451777.61300000001,477110.58500000002,502234.72,526854.74600000004,2018]
["Denmark","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",359798.32900000003,367990.82400000002,378875.37300000002,384542.80200000003,395745.75900000002,2018]
["Djibouti","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",450095.66899999999,468828.41200000001,481883.57900000003,495271.82900000003,521826.72700000001,2018]
["Dominica","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",20642.684000000001,21964.745999999999,19982.936000000002,20362.413,22628.652999999998,2011]
["Dominican Republic","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",321200.109,346131.70600000001,373939.56699999998,412603.28200000001,438834.66600000003,2018]
["Ecuador","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",6099.3509999999997,6046.3019999999997,6216.6059999999998,6367.5889999999999,6249.3919999999998,2018]
["Egypt, Arab Rep.","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",27459.550999999999,30037.694,36603.375999999997,45755.637000000002,53667.853000000003,2018]
["El Salvador","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",3628.0590000000002,3704.2350000000001,3787.3290000000002,3922.2550000000001,4008.0239999999999,2018]
["Equatorial Guinea","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",6632203.9639999997,5453474.8540000003,5641858.5319999997,5803521.6160000004,5189967.1030000001,2015]
["Eritrea","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",5408.16,5735.8119999999999,4876.8900000000003,5002.826,5164.6949999999997,2006]
["Estonia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",15799.08,16487.157999999999,18047.752,19746.485000000001,20945.501,2018]
["Eswatini","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",48198.966999999997,52033.983,54229.17,56494.002,59604.769,2017]
["Ethiopia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",14460.306,16900.623,19498.614000000001,23395.128000000001,27588.567999999999,2016]
["Fiji","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",11296.82,11773.396000000001,12504.367,12988.87,13663.968000000001,2017]
["Finland","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",38370.152999999998,39376.866999999998,40687.972999999998,42098.771000000001,43389.777000000002,2018]
["France","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",34189.796999999999,34654.425999999999,35517.165999999997,36355.165999999997,37183.805,2018]
["Gabon","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",4405922.3569999998,4198120.4539999999,4281066.6210000003,4563921.0590000004,4716098.443,2004]
["Gambia, The","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",28084.848000000002,29960.807000000001,31682.722000000002,34482.036,37967.1,2017]
["Georgia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",8532.0939999999991,9126.348,10156.343999999999,11013.861999999999,12052.637000000001,2015]
["Germany","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",37093.548999999999,38058.633999999998,39258.383000000002,40341.002999999997,41460.756000000001,2018]
["Ghana","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",6510.8689999999997,7593.56,8869.1939999999995,10170.901,11534.078,0]
["Greece","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",16325.079,16366.109,16736.141,17196.830999999998,17734.928,2018]
["Grenada","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",25199.816999999999,26709.934000000001,28187.804,29536.082999999999,30729.719000000001,2016]
["Guatemala","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",30034.169000000002,31469.19,32841.296000000002,34175.222999999998,35968.468999999997,2018]
["Guinea","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",5332399.09,6091959.8590000002,7221573.9359999998,8200700.6390000004,9216375.0040000007,2014]
["Guinea-Bissau","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",380652.10399999999,419912.62400000001,461069.58100000001,456373.04700000002,457111.20400000003,2017]
["Guyana","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",860790.98899999994,935701.25300000003,957253.68400000001,1029964.066,1086445.936,2017]
["Haiti","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",39552.235999999997,44359.512999999999,50251.389000000003,56834.487999999998,66111.417000000001,0]
["Honduras","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",51379.754999999997,54406.923000000003,58517.451999999997,60748.006000000001,63673.624000000003,2017]
["Hong Kong SAR, China","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",328095.54399999999,337614.64500000002,359206.81,379739.70600000001,386386.60600000003,2018]
["Hungary","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",3488087.8650000002,3608767.65,3914586.14,4302800.7769999998,4645233.5049999999,2018]
["Iceland","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",6970367.6689999998,7490883.5020000003,7722715.3030000003,8070038.7429999998,8214907.1169999996,2018]
["India","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",107348.012,118190.783,129812.91899999999,142481.36300000001,154600.53200000001,2013]
["Indonesia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",45097333.637000002,47976388.461999997,51987475.296999998,56124523.696000002,60209291.873999998,2018]
["Islamic Republic of Iran","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",140029564.56900001,158126022.206,181854710.38699999,226925118.54899999,275999742.28799999,2018]
["Iraq","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",5884939.1200000001,5715011.3830000004,6221113.0130000003,6951952.6579999998,6782846.8969999999,2013]
["Ireland","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",55686.396000000001,56875.434999999998,61510.646000000001,66301.755999999994,69247.782000000007,2018]
["Israel","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",139114.511,143379.66200000001,145992.69399999999,149827.497,153594.11499999999,2018]
["Italy","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",27174.428,27854.738000000001,28509.635999999999,29048.704000000002,29335.712,2018]
["Jamaica","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",589691.03,622429.92799999996,667010.55500000005,700331.18700000003,729366.06400000001,2015]
["Japan","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",4184361.7960000001,4221693.0389999999,4300756.6310000001,4340068.0130000003,4419633.1689999998,2017]
["Jordan","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",2939.14,2943.1669999999999,2978.9679999999998,3027.5459999999998,3110.0970000000002,2015]
["Kazakhstan","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",2313772.7999999998,2621421.2370000002,2924514.2170000002,3240650.3730000001,3511245.6230000001,2018]
["Kenya","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",142176.17600000001,154516.49900000001,174290.33,185393.49900000001,203965.88200000001,2013]
["Kiribati","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",2068.125,2149.3609999999999,2140.8739999999998,2193.0070000000001,2244.8809999999999,2017]
["Korea, Rep.","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",32500680.634,33987781.553000003,35695810.914999999,36670563.002999999,36910444.75,2018]
["Kosovo","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",3278.0749999999998,3403.4250000000002,3566.2159999999999,3751.6689999999999,3955.4969999999998,0]
["Kuwait","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",8241.2909999999993,7635.8860000000004,8149.0460000000003,9349.6730000000007,8835.7019999999993,2016]
["Kyrgyz Republic","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",73025.423999999999,79131.619000000006,86393.929000000004,89042.247000000003,91660.758000000002,2018]
["Lao PDR","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",17393373.623,18884316.048999999,20242814.828000002,21583778.079999998,22915340.526999999,2018]
["Latvia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",12245.294,12716.221,13862.281000000001,15262.606,16180.109,2018]
["Lebanon","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",12874632.919,12859520.107999999,13233546.286,13946195.177999999,14554618.026000001,2012]
["Lesotho","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",16080.214,16968.52,17219.746999999999,18445.310000000001,19910.375,2016]
["Liberia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",764.41099999999994,772.39300000000003,754.66300000000001,727.8,703.82600000000002,2016]
["Libya","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",3756.7629999999999,4033.6219999999998,6564.9189999999999,8711.0120000000006,6954.2060000000001,2014]
["Lithuania","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",12886.425999999999,13544.736000000001,14916.838,16076.635,17155.222000000002,2018]
["Luxembourg","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",91621.044999999998,92499.944000000003,93621.786999999997,97788.557000000001,100321.814,2018]
["Macao SAR, China","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",560009.27599999995,561877.81099999999,621329.04599999997,659748.277,655459.51399999997,2018]
["Madagascar","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",1174424.6740000001,1290981.699,1394674.89,1531508.5649999999,1672407.4480000001,2010]
["Malawi","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",176613.204,211635.86199999999,237351.22399999999,256227.954,279307.37099999998,2011]
["Malaysia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",37739.281000000003,39505.493000000002,42833.78,44678.523999999998,46545.237000000001,2018]
["Maldives","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",181546.65599999999,191811.12599999999,208191.704,224543.80900000001,239818.198,2014]
["Mali","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",456747.05800000002,475637.685,496142.27500000002,514411.08199999999,537270.995,2017]
["Malta","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",21965.248,22971.14,24555.510999999999,25906.690999999999,27291.027999999998,2018]
["Marshall Islands","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",3363.3710000000001,3652.9229999999998,3822.1559999999999,3878.6660000000002,3924.826,2016]
["Mauritania","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",42217.584000000003,43419.527999999998,45247.953000000001,47077.737000000001,51542.716,2014]
["Mauritius","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",324574.65700000001,344095.766,361538.03600000002,381019.88299999997,400191.09700000001,2018]
["Mexico","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",153310.47700000001,164533.65100000001,177278.15700000001,188536.35399999999,194203.58100000001,2018]
["Micronesia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",3080.3270000000002,3241.2550000000001,3548.96,3634.1779999999999,3717.9989999999998,2018]
["Moldova","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",41022.050000000003,45288.396000000001,50436.273000000001,53614.408000000003,58533.114000000001,2018]
["Mongolia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",7570983.1129999999,7674155.5190000003,8771926.7349999994,9910700.8990000002,11251846.998,2014]
["Montenegro","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",5873.5330000000004,6354.1890000000003,6907.28,7416.6319999999996,7713.97,2018]
["Morocco","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",28950.916000000001,29389.596000000001,30508.922999999999,31589.091,32366.48,2018]
["Mozambique","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",21148.098999999998,23898.555,27234.946,28889.058000000001,30371.846000000001,2015]
["Myanmar","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",1330640.6459999999,1421245.7779999999,1567893.66,1796131.476,1970195.5649999999,2015]
["Namibia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",65805.032000000007,71419.038,76245.106,79605.072,81453,2018]
["Nauru","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",8362.1319999999996,10536.718999999999,10807.93,11042.022000000001,11389.732,2016]
["Nepal","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",78850.532000000007,82651.123000000007,96806.774000000005,107912.542,121747.276,2015]
["Netherlands","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",40827.122000000003,41718.122000000003,43213.165999999997,45051.813999999998,46628.536,2018]
["New Zealand","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",53897.962,55931.917999999998,58214.64,59462.644999999997,60523.425000000003,2018]
["Nicaragua","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",55520.322999999997,60092.472000000002,65064.788999999997,64068.781999999999,63598.686999999998,2017]
["Niger","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",214421.571,216987.1,218792.53899999999,230041.74600000001,232369.40700000001,2009]
["Nigeria","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",525446.13100000005,551599.37199999997,601967.01899999997,659026.97199999995,722151.83100000001,2012]
["North Macedonia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",269859.478,286827.13299999997,297113.04499999998,317929.41800000001,334248.587,2018]
["Norway","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",597677.15800000005,589880.25100000005,622911.45600000001,663205.19099999999,682720.66599999997,2017]
["Oman","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",7014.7439999999997,6279.7960000000003,6553.86,7293.9620000000004,6840.65,2018]
["Pakistan","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",144535.853,150215.09099999999,161828.56599999999,172266.00599999999,188340.166,2018]
["Palau","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",15875.437,16782.098000000002,15995.087,16195.279,16736.102999999999,2018]
["Panama","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",13606.594999999999,14356.447,15198.073,15642.816999999999,16245.451999999999,2018]
["Papua New Guinea","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",7593.5290000000005,8044.3090000000002,8627.5249999999996,9022.9449999999997,9320.9140000000007,2014]
["Paraguay","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",27862273.809999999,29826568.221999999,31521365.329999998,34015349.645999998,35079121.158,2018]
["Peru","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",19561.215,20838.255000000001,21945.472000000002,23033.448,23856.675999999999,2017]
["Philippines","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",131174.09700000001,140259.09299999999,150663.321,163472.81400000001,172959.84700000001,2017]
["Poland","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",47367.413,49018.921000000002,52387.642999999996,55709.754000000001,59429.468999999997,2018]
["Portugal","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",17350.006000000001,18061.091,19023.455999999998,19837.145,20506.701000000001,2018]
["Puerto Rico","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",29755.35,30585.55,31590.97,31603.405999999999,31538.173999999999,2018]
["Qatar","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",241502.755,210993.97399999999,228686.86499999999,256181.351,253662.679,2017]
["Romania","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",35852.572,38720.250999999997,43611.747000000003,48363.017,52633.482000000004,2018]
["Russian Federation","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",567196.58700000006,585927.79299999995,626965.96299999999,707600.81700000004,743526.87899999996,2018]
["Rwanda","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",529897.1,578491.50899999996,643476.61199999996,677263.89199999999,743324.26899999997,2012]
["Samoa","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",10058.579,10494.627,10797.487999999999,11105.763999999999,11706.344999999999,2016]
["San Marino","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",38813.728999999999,40040.447999999997,40634.373,41429.152000000002,42098.235999999997,2017]
["Sao Tome and Principe","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",34671.381999999998,37065.362000000001,38359.271999999997,40301.239000000001,41980.343999999997,2011]
["Saudi Arabia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",78987.404999999999,76083.437000000005,79177.341,88271.024000000005,85744.415999999997,2017]
["Senegal","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",701652.81499999994,732135.90700000001,767097.66899999999,800272.79399999999,833972.91,2017]
["Serbia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",607724.51599999995,640558.02500000002,677177.70400000003,723564.94799999997,776427.98899999994,2018]
["Seychelles","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",196897.614,202717.11499999999,217203.136,230569.70800000001,240624.05,2015]
["Sierra Leone","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",3043282.213,3352072.0970000001,3707737.304,4279947.8039999995,4901985.1140000001,2017]
["Singapore","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",76502.971000000005,78364.441000000006,83265.222999999998,87108.126000000004,87842.760999999999,2018]
["Slovak Republic","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",14597.511,14969.098,15610.938,16571.708999999999,17405.309000000001,2018]
["Slovenia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",18834.208999999999,19555.68,20807.978999999999,22129.388999999999,23302.092000000001,2017]
["Solomon Islands","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",15553.28,16286.3,16798.141,17568.922999999999,18266.042000000001,2015]
["Somalia","Gross domestic product per capita, current prices","National currency","Units"]
["South Africa","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",73093.346000000005,77491.645000000004,81501.593999999997,84121.214000000007,87055.847999999998,2018]
["South Sudan","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",4376.8370000000004,13218.328,31037.805,50051.934000000001,60678.258000000002,2008]
["Spain","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",23295.874,24111.352999999999,25131.936000000002,26012.210999999999,26677.484,2018]
["Sri Lanka","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",522303.77799999999,565772.95700000005,625736.24300000002,666271.93400000001,704446.63,2017]
["St. Kitts and Nevis","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",42365.531999999999,44162.559999999998,45921.076000000001,47283.953999999998,49263.932999999997,2015]
["St. Lucia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",25706.806,26130.883999999998,27665.752,29038.116999999998,29904.987000000001,2015]
["St. Vincent and the Grenadines","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",18542.522000000001,18990.669000000002,19406.429,19855.047999999999,20927.136999999999,2016]
["Sudan","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",13323.614,16087.401,20416.705000000002,32439.325000000001,46580.58,2011]
["Suriname","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",28833.845000000001,34250.875999999997,39385.425999999999,43268.855000000003,47639.870999999999,2016]
["Sweden","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",431246.13400000002,441794.038,456614.18,472491.16200000001,483866.11900000001,2018]
["Switzerland","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",79407.368000000002,79451.566999999995,79527.209000000003,81322.630999999994,82789.729000000007,2017]
["Syria","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).","n/a","n/a","n/a","n/a","n/a",2010]
["Taiwan, China","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",713886.35199999996,729670.10400000005,742480.69499999995,754300.32200000004,772724.10100000002,2018]
["Tajikistan","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",5661.8990000000003,6235.9939999999997,6847.96,7559.2849999999999,8362.5360000000001,2014]
["Tanzania","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",1887404.7690000001,2103711.9369999999,2237320.5959999999,2365863.1710000001,2551090.878,2012]
["Thailand","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",204394.155,215751.12700000001,228410.27299999999,240704.75399999999,249171.095,2018]
["Timor-Leste","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",2610.3609999999999,2065.2179999999998,2005.28,2163.5250000000001,2262.8420000000001,2015]
["Togo","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",333267.22200000001,348309.73499999999,357619.60600000003,372159.62,390318.45500000002,2016]
["Tonga","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",8533.2780000000002,9475.9410000000007,10307.036,10688.332,11138.287,2018]
["Trinidad and Tobago","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",117793.50199999999,106249.625,110177.522,110895.73,110807.69,2017]
["Tunisia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",7508.491,7874.2659999999996,8352.7240000000002,9056.9879999999994,9696.7039999999997,2017]
["Turkey","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",29700.505000000001,32682.149000000001,38492.904999999999,45417.15,51462.192999999999,2018]
["Turkmenistan","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",22514.341,22442.473999999998,23248.830999999998,24726.587,27356.072,2004]
["Tuvalu","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",4359.4470000000001,4519.5600000000004,4810.616,5074.4459999999999,5353.34,2012]
["Uganda","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",2248498.9920000001,2390674.1290000002,2552233.4559999998,2711417.4339999999,2911693.9180000001,2016]
["Ukraine","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",46689.41,56238.892,70657.179000000004,84655.767999999996,96090.623999999996,2018]
["United Arab Emirates","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",137280.14600000001,133040.82999999999,136807.76500000001,145831.323,138636.421,2005]
["United Kingdom","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",29117.477999999999,30001.279999999999,31036.174999999999,31876.151000000002,32675.466,2018]
["United States","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",56787.457000000002,57901.072,59999.508000000002,62868.917000000001,65111.595999999998,2018]
["Uruguay","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",419909.32199999999,456636.23599999998,488822.91899999999,522287.52500000002,568513.72100000002,2015]
["Uzbekistan","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",6775191.0580000002,7679909.415,9418811.4260000009,12511886.103,15847220.834000001,2017]
["Vanuatu","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",308259.92700000003,320231.66800000001,340431.10399999999,353256.78700000001,365963.09,2017]
["Venezuela, RB","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",2.625,9.1460000000000008,66.41,70637.675000000003,"n/a",2010]
["Vietnam","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",45717058.582999997,48577890.204000004,53457842.520999998,58527871.597000003,63721807.186999999,2016]
["Yemen, Rep.","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",301732.701,277066.00900000002,306637.54200000002,441404.77899999998,533932.321,2017]
["Zambia","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",11311.44,12926.843999999999,14285.403,15722.787,17111.300999999999,2010]
["Zimbabwe","Gross domestic product per capita, current prices","National currency","Units","See notes for:  Gross domestic product, current prices (National currency) Population (Persons).",1425.0139999999999,1462.309,1900.5450000000001,2922.8229999999999,6538.61,2012]
[]
["International Monetary Fund, World Economic Outlook Database, October 2019"]

{"sheet":"T_Source_WB_WDI","index":46,"n_rows":273,"n_cols":15,"rows_kept":273,"cut":false,"hidden":false,"merged":[]}
["World Bank - World Development Indicators"]
[null,null,1,2,3,4,5,6,7,8,9,10,11,12,13]
["Series Name","Series Code","Country Name","Country Code","2008 [YR2008]","2009 [YR2009]","2010 [YR2010]","2011 [YR2011]","2012 [YR2012]","2013 [YR2013]","2014 [YR2014]","2015 [YR2015]","2016 [YR2016]","2017 [YR2017]","2018 [YR2018]"]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Afghanistan","AFG",118.91966941898751,101.90551188524654,100.1339068196891,96.334725270291614,86.536587804066727,83.535143161532105,82.480235587254356,84.700860301804951,82.640598101899343,80.272866796106015,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Albania","ALB",83.093747502720618,80.862632997436762,78.109164879206858,78.299468359835373,77.9669372171589,80.029440333308486,80.78733817431683,80.69472974298408,80.9610659812883,79.745443078335768,79.641495680878776]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Algeria","DZA",30.183365780776018,37.558059047179562,34.321263572226762,31.176184307032155,32.14702126478263,34.657824710624169,36.362422729779148,41.010973756327566,42.51334608467269,43.250896327479836,42.293586585781206]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","American Samoa","ASM",72.291296625222017,58.702064896755161,69.791666666666657,72.125435540069688,65.838509316770185,69.73478939157566,70.872274143302178,67.019667170953113,68.404907975460134,76.245847176079735,74.213836477987414]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Andorra","AND","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Angola","AGO",28.79598587281459,42.21208715109622,35.797751864480695,33.982396755813454,35.409622569661266,37.552843920307581,44.466743147220313,52.744000421442571,56.025795646439825,57.182495247897904,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Antigua and Barbuda","ATG","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Argentina","ARG",63.074583476516025,62.978147687229082,64.234114763999443,64.220321279974314,64.903399107149056,65.987565530073837,65.383079725088777,65.905837344826267,65.72189146512207,66.314564145104796,65.094859889255829]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Armenia","ARM",71.448104935907125,80.160590721248155,81.766683784160961,83.232246647490101,87.164228990283632,87.170543964619498,85.547185542190334,78.08011692840789,77.296310150576431,80.029993027397481,79.92397275889806]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Aruba","ABW",55.270655270655269,56.829868097473735,60.458050946482821,61.481156879929891,62.442142384835797,62.237610906730147,61.184904069154541,57.887090078870898,56.036302237230892,55.23376086057096,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Australia","AUS",56.639907993880968,54.800677699788515,56.179359073970325,54.71579574508938,54.51983316638411,55.559858804262433,55.984560815249004,57.193243140931216,58.246633676840197,56.712218626727761,56.413551149263739]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Austria","AUT",51.825275782009996,53.481565074671579,53.501912019007712,53.379739234677636,53.459813218791197,53.662860879342489,53.396454594226498,52.682831980075598,52.306216537371384,52.214984794452278,51.762965906629702]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Azerbaijan","AZE",33.435566008590534,42.756625423086106,39.362533851407036,37.258553818977767,39.471025889737085,41.90299405314358,45.437615756234536,56.690039187129116,58.708452764740535,57.58639024820225,53.184196939240969]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Bahamas, The","BHS",61.254987649629491,60.591306717318027,61.682330007844875,62.969380712877779,63.566065015624275,63.423177785982745,65.214921242887129,64.251252946231801,63.913924814045444,67.244699762970754,68.958106966075121]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Bahrain","BHR",34.486603794858745,40.909612662134762,41.183716910817836,39.078984215356556,38.004973295565108,40.77035554934379,40.496520168841712,45.063840804283913,44.932686241603818,42.006156414357761,45.333579471512209]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Bangladesh","BGD",75.632311075452748,74.573841255599788,74.114650313520841,74.280469646728747,73.736894849169161,72.847773983527773,72.572536918170059,72.437289480297011,69.129762585509454,68.674909475339589,70.808507325528396]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Barbados","BRB",58.610289427518936,53.496581567062925,59.778134898956345,62.283338183188263,59.102274659790176,60.428561169181464,62.124905725875898,57.704564596339011,58.093648383431464,62.713545445435429,66.431734693877559]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Belarus","BLR",51.95722655226718,56.209423096276836,54.276727436481231,48.705528161564878,48.051620777817774,51.256358205038545,52.827184957123578,52.877344530035145,54.509789465923809,54.455962370990704,53.900893571761721]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Belgium","BEL",50.724292814841284,51.372835039287359,51.438081335550656,51.542632108388005,51.94377052665542,52.461184076562816,51.811114201794375,51.338944385596022,51.37203364251539,51.423196581989302,51.596234002972473]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Belize","BLZ",65.169232057441008,70.420512013960277,70.363448805979331,70.61652108434518,69.690357561806039,70.898629612031812,69.596244905011588,69.865206398484958,73.398866748186691,69.569519592328362,68.452973976090064]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Benin","BEN",75.022698099621181,73.188708522320368,73.434331730490698,72.293339119114762,71.264505898464719,68.822528237660535,68.486300656318363,68.587625922753787,75.018259687243457,76.104667613212314,70.390368266946865]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Bermuda","BMU","..",55.738741087817566,55.036893232277485,54.961535974011532,54.633783936793556,54.668237134691253,"..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Bhutan","BTN",45.994115370530494,49.161839817853362,45.298858218471295,40.144648708300466,35.728147895190105,57.517587210279885,52.945024275666839,59.602938625865157,51.889887977960527,53.889764746877503,60.490482638463675]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Bolivia","BOL",62.223793931888636,65.501798310634186,62.298477259593398,60.704337715308974,59.50374856779618,60.18670764204019,62.937449776025524,68.419717866011169,68.909409586230737,67.654437481148094,67.010377680337157]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Bosnia and Herzegovina","BIH",85.928035728210716,85.214061161714497,84.754767730103808,84.272052942020096,85.976697297876527,84.912020178384708,84.276736732104695,81.785142788225386,79.891206863457825,78.028219253953239,76.316379227849097]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Botswana","BWA",44.069452700687037,50.670221143412533,49.146235732758669,46.322286885579814,51.970577329345367,52.021720858185574,46.942811985859635,52.020565044777598,47.327449656531073,49.233499296244304,49.605289134321914]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Brazil","BRA",59.730792683004807,61.956459881468497,60.222803419692028,60.273888402312316,61.411866842791753,61.715261671034952,62.9595598096126,63.964780603447061,64.239353906566009,63.991157554430281,64.332518111086415]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","British Virgin Islands","VGB","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Brunei Darussalam","BRN",17.688095343148071,24.360559338427933,14.713750668806849,12.775179161481354,13.762971054068815,15.261274791289367,15.602208312561164,19.782877714028572,21.15000063500127,20.47556500295563,19.541541445822634]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Bulgaria","BGR",65.663403242898511,63.099310962802399,63.280964755193502,62.151091519211491,65.443245035372826,62.242491092161465,62.580830030087384,62.384617816273632,61.019122490173181,60.885765890590591,60.671964775636475]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Burkina Faso","BFA",69.599038625473483,68.517608011925674,62.842189590677691,59.614170797826702,58.34564495038925,61.115654473794734,60.599686121634733,62.720454647243351,58.946971853346987,55.072523331071743,55.03277030981716]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Burundi","BDI",92.591015096233178,83.92514016597697,81.039620606889841,86.154236834881232,84.675724417005114,89.080052459016386,85.500020430112414,75.414469425239957,77.564046600223278,76.294842667401738,77.914690444243533]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Cabo Verde","CPV",60.775595289613349,63.908776611737473,63.021672653746904,62.778361793894163,64.951890077312939,65.26670807209193,64.868144050779662,65.21237623567508,63.185280672419317,65.25057303979905,61.287011165657745]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Cambodia","KHM",79.444061274150826,76.160100198643065,81.29184712462785,82.859714950487302,80.084261381994608,78.637313230495323,77.55071935971111,76.805147528387351,76.119753210234592,73.391476629473402,70.627030996530664]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Cameroon","CMR",68.648866438251915,69.700865456527424,70.184274049552869,68.817368661833129,69.160844450797669,69.092675930839093,68.978054235862061,70.677046834460441,69.99292524445022,69.95323725771722,70.481795975340248]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Canada","CAN",54.59697759665756,57.718718996532395,57.132620714011104,56.033542721091663,56.155448077910563,56.099976179584857,55.928559225798665,57.943315303901102,58.533696606028983,58.030304164436671,58.03844650837334]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Cayman Islands","CYM","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Central African Republic","CAF",92.649416237374311,86.847150397623722,82.290202633232155,83.462123638693129,88.205321479040009,83.578848840090345,82.221792303795084,82.427547796112478,84.015400604336875,82.955712675887796,87.992072209365006]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Chad","TCD",66.754860999317728,69.008556314935745,65.485149257634461,67.970621454323989,65.663101680288321,68.34102823088007,68.318256908403399,73.320148917207291,75.375620601604282,80.163649613000899,77.311526090086019]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Channel Islands","CHI","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Chile","CHL",60.05241865467211,58.780402189997396,58.324763939207571,60.125498023922084,61.653831255962224,62.648141355037822,63.10884269819195,63.439953225949111,63.384375005023763,63.018070295786089,63.026075304036802]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","China","CHN",36.128490927614749,36.342743743890196,35.440602135765062,36.179021753198441,36.863007030320475,37.0617438605465,37.82115465523205,38.773010274596146,39.651209229890299,38.740400141674556,38.676659428951936]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Colombia","COL",67.230227154055612,67.0195876051406,66.690780128863352,65.321978266601306,65.505263980816409,65.220733186341377,65.970903247201804,68.475019013485905,69.059670148254995,68.552718231155609,68.49505602160329]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Comoros","COM",89.592801546257121,89.805594177846245,90.958518698786435,93.406730162944285,96.723515620179739,95.46359289634006,94.404681087963013,93.302610506459743,92.611499492401578,92.104506017471664,91.305569926551769]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Congo, Dem. Rep.","COD",86.60780451395874,87.665929411983612,72.448843416279985,73.210346164745971,84.596202008077654,74.546759266239249,73.480699640471002,75.259470997531992,81.9328128566857,72.726443895850437,71.630706992393627]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Congo, Rep.","COG",41.600055286394252,45.042458647879648,38.614920869844049,35.293328661640928,35.907711836566584,45.044154497487703,42.129367156580081,68.084919641358681,73.807819298990808,36.937162866732479,30.672469428302417]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Costa Rica","CRI",70.419042308081842,66.293665958273124,65.398637824463151,66.684188935939986,66.246569712648679,66.404296509650749,66.228544067763579,64.95576638382623,64.153086445321222,63.847242870014234,63.494194923145741]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Cote d'Ivoire","CIV",68.303739661726908,67.738142801064242,67.079527872553413,69.287925926658829,67.405632259601788,64.091334067817584,63.02486174476919,64.484359860111923,66.527442004945954,65.688800417989441,65.878547601396519]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Croatia","HRV",60.673447633813936,59.807546494430582,60.080614504650207,61.21735889282229,62.163496711439983,62.251791994845554,60.512315342298074,59.054195794417417,58.265386408298916,58.085354727733638,58.209393814094767]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Cuba","CUB",49.056594464718295,48.09600515463918,50.31867926874768,52.861284244093341,54.353919142478226,54.282677451132891,55.088276135687366,55.724008125509286,55.848746853452994,55.983934084315081,55.974125951031262]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Curacao","CUW",72.856005700245035,70.219071899477399,80.033639076813742,66.98690190597739,67.370699606862999,65.370033507666435,59.419336548164772,"..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Cyprus","CYP",66.754613569497806,63.695459070344221,65.796224147440896,65.812378336187194,66.896158522882104,67.041995686905125,68.98412801263197,67.894033235526351,65.954604047545075,65.476582079887834,65.178799016662651]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Czech Republic","CZE",47.369348356422044,48.613210482674958,48.957063079942174,49.054218711845415,49.206362108341267,49.413585910444965,48.070524543504561,46.829386853121655,47.0360256628055,47.416393862262488,47.479553320129462]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Denmark","DNK",47.391653688635124,48.479554251522295,47.612230592128007,47.913883145431519,48.042131669147871,47.694205703025432,47.160962223968554,47.111465995104261,46.672960452420057,46.531576211143381,46.650033008354669]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Djibouti","DJI","..","..","..","..","..",58.374600641034661,60.62969396103788,52.852215870197774,67.18973841661213,62.281463232595499,60.632560994352083]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Dominica","DMA","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Dominican Republic","DOM",73.498237291820843,74.271376676393658,74.341354358454225,76.267315820393137,75.0404271983858,73.17543766729878,71.609412505168223,70.917021989365935,70.49233145089795,69.450266930907063,68.297575873735852]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Ecuador","ECU",61.511726305071015,62.241651373616946,63.276360830645906,61.376390661443573,60.288367261819396,59.85713351500609,58.99386659290797,61.427813435422316,59.927028936108364,59.904569368245895,59.693536207078544]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Egypt, Arab Rep.","EGY",72.317141261864876,76.098637497601231,74.573180838720361,75.567062942163219,80.712963515853588,80.772952053321873,82.938967136150239,82.429722983755468,83.088506680445846,88.123919308357344,85.44643259566412]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","El Salvador","SLV",92.301392847790822,88.012467034284356,87.260353425845622,87.766318280418062,87.040072944917242,87.675958346596332,86.649094852387918,85.074451745029421,83.79597582181006,83.608231707317088,83.141382354069933]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Equatorial Guinea","GNQ",16.043937505505077,23.000473934383976,23.408825720275512,20.356397870422764,20.135451512185238,25.820567111119473,27.776934119870639,38.938145731724525,47.74909214886253,46.506351662541348,46.971171764918786]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Eritrea","ERI",82.629053582338216,89.539363508995592,85.376314047389229,77.739614655559436,"..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Estonia","EST",53.090637668728689,52.89795761211483,52.055955353657588,50.056381752966608,50.688633924602257,51.322543006048669,50.525446507293772,51.292192867795848,51.748339308980086,50.296795599624254,49.662315282609896]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Eswatini","SWZ",71.744681150031582,71.996815501176258,74.566840118185596,78.13148297794676,73.031666669344162,70.825988633197881,69.677446102519696,66.88488067001839,62.987082325047048,65.473845529453669,66.493135530567699]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Ethiopia","ETH","..","..","..",72.433316475515923,72.463157100579608,73.467047968886462,70.214525071632323,71.244435389390318,66.466870353045763,66.53915791840241,65.455806078261944]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Faroe Islands","FRO",55.047698920222246,55.789188033485196,51.622568063569418,54.67231013131525,52.00922170017801,50.228069105277783,48.189977374717188,49.062361656287813,"..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Fiji","FJI","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Finland","FIN",49.321802692198801,52.145564988693074,52.630180235246591,53.16215315306215,54.042290722603305,54.183368327288925,54.521331870447611,54.433234365248964,54.332732522852254,53.215226875124564,52.761960819439288]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","France","FRA",54.465915136670716,55.377443553109806,55.35569032856894,54.982464271469297,54.718872618014899,54.635698560685888,54.309703618767635,54.046247507314305,54.263294554611662,54.008059909466532,53.907882826411225]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","French Polynesia","PYF","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Gabon","GAB",27.079066965287229,35.056370966227263,30.642619783485468,27.573527467895893,29.445168491456524,32.283409757528645,34.490026496471394,37.8384101109841,40.439223731290078,39.969743800301899,38.625956325115638]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Gambia, The","GMB",93.120806388155984,90.39777180673164,93.308676322465374,85.939140858183805,78.386321589306135,84.130558350866053,87.239920518316524,91.46300619447976,88.377160498425894,87.582097987641632,90.340482771130127]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Georgia","GEO",77.946132876188074,81.707846102524186,81.194321223008416,82.241244647489864,79.416614941621091,77.149302276781029,77.2285784970489,76.459113010166504,69.765877888157149,69.841542428308927,69.307590029439922]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Germany","DEU",54.224677889958336,56.440735485928542,55.108680393074408,54.386685278961664,54.906950399044185,54.556849911964001,53.422250916332757,52.878316342526745,52.640215691905169,52.294891509681072,52.137921342435199]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Ghana","GHA",94.231708842140364,89.004916771573406,93.613694437018069,85.823645499400811,83.717530345696929,72.578360236536525,69.402630280900794,69.824893040425067,66.992109827888115,70.21490367231047,71.994598333083715]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Gibraltar","GIB","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Greece","GRC",67.374153108879312,68.132563228589476,69.372288565340838,69.88296419538149,69.908431876773363,70.77234379311507,70.213275231483152,69.434580714172128,69.179783255985953,68.703512315106664,68.004651852199871]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Greenland","GRL",45.128603608906879,43.483646444686947,43.191504475067482,43.852734854740113,42.5052095392452,42.561756026393446,41.704595323177237,39.71261701697415,37.467144432799046,36.855246167776635,36.213141807387728]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Grenada","GRD","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Guam","GUM",59.575849383250379,58.837063375862783,57.528089887640455,58.948863636363633,60.646278130409684,58.958020989505236,57.674250631997111,55.709281961471092,56.186367558239859,57.887540591351907,58.361486486486491]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Guatemala","GTM",89.273354613457187,85.923207185716734,86.090058976484215,85.314917936321223,85.942784427858882,86.530317255599712,85.846510526498236,84.990714970017819,85.24790640032775,86.298575647063387,87.797897416061204]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Guinea","GIN",88.716701180432082,93.512460289094605,79.970560906038727,81.715276819138055,79.902518972442465,85.117825068565367,82.785221212140641,85.783725658361689,83.543053093667496,73.971631838650524,79.792152536901554]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Guinea-Bissau","GNB",91.328518635216696,96.760635317863859,100.33208684589134,86.672618370481274,93.752090242493523,93.21942114300073,85.933760174703792,85.28402712745546,87.1505491290755,87.001271326454017,86.537457360554242]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Guyana","GUY",93.348443683331467,82.117323165408777,87.429737962022841,90.744433493037818,90.419881528906402,93.243412808215723,82.71498653555291,78.335297307285686,61.967492236529132,67.902336034870245,56.360661964121469]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Haiti","HTI","..","..",116.35691060565195,102.45431792216712,95.22800765303711,92.161570172837642,91.330044380182827,84.835687511212242,87.217359500594341,95.445541684556474,100.14559178063509]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Honduras","HND",79.917604392095171,78.54532235348411,78.11775358687008,77.637169214017462,78.616626331643829,81.928903057687975,80.333644049503974,77.507638923278876,76.896442766492072,76.67482660289113,79.365858962752284]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Hong Kong SAR, China","HKG",60.116533830125796,61.088929000840743,61.375576187334346,63.295234255051881,64.552327644903755,66.0830891757724,66.494012181388982,66.426397251363483,66.246275521286492,67.052533464321499,68.332252857398629]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Hungary","HUN",53.619532970954388,53.634176452393099,52.530190556082715,52.778763337751734,53.832836532811889,52.321382994643805,50.15237561344199,48.895021572965334,49.800649531599731,49.523372095655127,48.700248383770919]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Iceland","ISL",52.283700052752479,51.206359243952484,51.534628811546014,52.152594650674914,53.7214006197961,52.819796134190014,52.723228009176069,50.111893702363929,49.383097462483995,50.356315660129937,50.744331321858503]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","India","IND",56.676815981622553,55.959888465393071,54.724857762051727,56.207199566957797,56.460953789339527,57.645766090840411,58.127717101310353,59.007281077806972,59.338235537646526,58.982846932305875,59.389434418662688]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Indonesia","IDN",60.621252728048816,58.702756309221513,56.217175797227767,55.423356543893391,56.389246489543595,56.829462358584102,57.139116586015895,57.450017897665596,57.826800813929303,57.319838964485626,56.954451527797985]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Iran, Islamic Rep.","IRN",41.660397755244496,44.495583632245726,42.922008453671587,43.390098664585977,47.667692480551779,45.569880557198559,46.315129157084868,50.298216089175632,49.38517293287282,47.624370533012375,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Iraq","IRQ",31.263190007944512,52.246265240758746,44.442980967360199,35.620312130469188,39.728510198525107,48.502210786077164,51.800000000000004,58.630936293436299,64.53896746917782,59.025220806225875,57.862941114574163]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Ireland","IRL",48.672687488739193,47.726145669288819,47.582933189865358,46.392678047936421,45.470773856346881,45.041621591909546,42.995331805860751,33.041547834317456,33.775125055120228,32.165261753474262,31.022583998263681]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Isle of Man","IMN","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Israel","ISR",57.509872440753099,56.251723842613224,56.593017336123829,56.636230078845273,55.953795857720891,55.379452275511788,55.231315113751613,54.492070799402029,54.767460085787754,54.656075372461224,54.747435647899479]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Italy","ITA",59.428873210798031,60.433053380874981,60.725303134887717,61.116467338583433,61.298658972307038,60.901491755114378,60.606249603663642,60.768608546203083,60.126448013585353,60.281309163678166,60.320289535404967]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Jamaica","JAM",89.134227084427792,80.331112711052214,81.923192696618003,85.843417678056454,85.462429021265834,85.345972649577433,85.23810017992588,81.104552367775966,77.706914490034208,78.300151054053273,76.301174030591454]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Japan","JPN",56.643673313479894,58.490728313118865,57.750404263862045,58.251922789288344,58.639757134556284,58.960052911945645,58.396033284294269,56.578373326196385,55.718521962497562,55.490432506931022,55.585534037478503]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Jordan","JOR",78.440176953652411,73.914214774446123,72.929484170639924,80.240997510077676,85.32310890320089,90.799410900328525,87.735880510727782,85.313864613664521,84.54547022527062,86.446726763506661,85.218158084485779]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Kazakhstan","KAZ",44.411812650249935,47.522819588153496,45.380482158639651,42.19121646152648,44.936751081807131,49.896589282913659,48.482504320659139,53.717814140006624,54.544316883874458,50.72613220647677,49.615830021009344]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Kenya","KEN",75.327559807302137,76.251288548193813,77.15479745751081,78.808792893456058,78.733176839884948,80.745633907892156,79.896745652186524,78.849891881608229,78.83001248083346,81.591943651733473,81.763437913204257]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Kiribati","KIR","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Korea, Dem. People’s Rep.","PRK","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Korea, Rep.","KOR",52.427115374830166,51.652215952692174,50.320767749828498,50.96054494661513,51.371052171730703,50.914844316544027,50.347299770611166,49.308063127224131,48.650000670002058,48.094973498879021,48.648265141135546]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Kosovo","XKX",90.463953237411914,87.317691913401305,86.193344607089003,83.794177423157166,85.036598868142264,83.903160298553473,86.591920889362427,85.493237568600307,85.963803309757168,84.063249889575104,85.652312184234319]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Kuwait","KWT",28.137698827354001,33.498927735258818,28.891958971072373,24.251027954722947,23.65307806297745,25.145063390575846,28.980447229123907,41.549256961184454,45.228673939217927,43.29538439686867,39.182905668995097]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Kyrgyz Republic","KGZ",92.538508308070718,78.280553555286218,84.595540304389033,83.402479325260998,95.800610233538492,97.180651110007801,95.998817052414083,90.546573272187416,82.799426113594905,82.07949958876533,82.698402640899076]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Lao PDR","LAO",76.086354540302892,69.446792120652006,74.591573954075002,65.802865818504358,76.510700674185586,74.111671020641339,72.568744931527633,71.23014626829395,65.69453142412921,"..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Latvia","LVA",57.958618470874192,60.439675130890301,63.066885607107501,61.355193989164491,60.841294543625516,61.863837905981988,61.27802180808235,60.220407313383276,60.177244220462335,59.819982459029433,58.898450586480131]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Lebanon","LBN",87.945739519863352,84.106907836520833,87.556762874634259,88.363965687368989,88.069893186523117,85.495099602387029,89.572464324206805,85.849460158593729,88.334151035924762,91.889517686993514,83.100537886995326]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Lesotho","LSO",94.984521644590203,97.661765143567919,91.149863343650168,88.014453799488422,88.71670536112741,88.918863815801387,79.678334337224996,74.311301129046797,75.325369094596184,78.948412917932814,80.63510235758315]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Liberia","LBR",172.50837195828504,144.47303733031674,139.80427927927929,138.00570058381982,121.43415656008823,123.22734268014347,143.94336832061069,150.05898646521877,142.81563450897025,137.7338603024543,132.99632352941174]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Libya","LBY",22.345603751465415,"..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Liechtenstein","LIE","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Lithuania","LTU",65.025234245596906,68.07318392933044,64.002985520466126,62.399443486256686,62.178099238596239,62.385149960682284,61.996459990666132,62.559008870340534,63.04836383648933,62.141934754173,61.768013203336501]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Luxembourg","LUX",32.911211670846079,34.157084075820336,32.194408695027995,31.333156305741511,32.192356767457994,31.670684625833019,30.909460497209945,30.140536760708681,29.671685831140781,29.812352758009787,29.763658091686285]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Macao SAR, China","MAC",27.715784453981879,28.017636046586226,23.378700827812363,21.054741512568498,20.364553339266703,19.209206900319277,20.033252652294887,26.097075477688541,26.393037842127892,24.267911854819705,23.780995173905808]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Madagascar","MDG",66.119877614279474,71.929511877379099,73.982666088214629,73.575547335739216,73.913745428712119,77.663687943848885,73.114931559441999,73.306904572435954,71.522285751462121,71.60919313944035,71.191029988389602]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Malawi","MWI",80.195127781277293,71.216573299024475,75.01881393127475,81.404618302790439,88.98287931721508,77.561740155033263,81.02841634993959,81.491883289249628,88.165167677104293,80.113725092171165,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Malaysia","MYS",44.706207813764287,48.841212192627694,48.116586359951015,47.967990628835416,49.651171889478732,51.81049936482318,52.418877429745592,53.961838358932177,54.787716712357714,55.389283547965675,57.420758939370273]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Maldives","MDV","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Mali","MLI",73.448689673809739,70.508570333816692,72.597566354991045,69.944589494750844,72.217996417079618,80.508109748250405,79.11023803152456,78.419775551770499,77.422611832758449,74.664513125698562,73.593005917461596]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Malta","MLT",58.828136472661406,60.96341185286547,57.805894385938331,58.675762698288366,57.126390044300365,55.224811062792234,51.061116249147823,48.022097026940003,46.193454463321935,44.144012780484211,43.760162951123469]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Marshall Islands","MHL",81.81307049037521,78.946595103464006,75.634586318724118,75.446690540640546,74.967901537007833,77.647871101512251,76.921102715638952,76.367771111096658,72.893980007818172,75.422888844002046,73.53975542078291]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Mauritania","MRT",57.294089099352327,59.393401341760963,51.357845806773895,44.809078784565457,47.812295586439348,46.90168369705718,52.989302182600682,57.945900610399157,58.448060291295825,58.938123151969755,61.482396394697759]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Mauritius","MUS",72.259317371083611,73.248536448264986,73.190737667921169,73.385513856166853,74.248810759630842,74.250598151972227,74.565502395029355,74.703886136137967,73.559049141490235,74.834919433684533,75.632616944249307]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Mexico","MEX",66.932637967525793,65.82854937135555,65.349374233964596,64.806694650877688,64.724562804609008,66.468800095215059,65.867662349054527,65.562880394489412,65.556246573396749,65.267041726288014,64.769305775061611]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Micronesia, Fed. Sts.","FSM","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Moldova","MDA",93.142028225421953,89.713310831081145,90.213182259253628,92.928421508052011,93.152052142798695,91.257736888606459,90.227342437237482,87.439909734811295,86.163285559136298,85.628490555922426,85.339516231796438]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Monaco","MCO","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Mongolia","MNG",56.23314230785472,58.435405220553619,55.216986503192032,51.486155429207116,53.018831091433952,55.798680524394697,56.632006930698843,59.053736439064863,54.841073318078635,53.529988791972926,50.770028056632057]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Montenegro","MNE",89.906171817904109,81.959594306394507,81.828171348665165,81.569514157304866,82.740500717119758,81.002902022969934,80.246055289853274,79.161786854168213,76.755292837106353,74.795509097155659,73.439985589078589]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Morocco","MAR",58.331787452281091,58.622707529763538,58.759354799241429,59.549042346023604,60.410246249178833,59.932199086113172,60.052994674597137,57.519712536059522,58.457268791161709,57.919633310167576,58.025590384000303]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Mozambique","MOZ",71.874830788821114,74.858856865039854,74.08010537775877,72.004545332182488,74.168348784129208,72.209832518091616,69.571280925265739,64.575896318884332,65.582661099955146,64.725046029896632,65.408990533574524]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Myanmar","MMR","..","..",56.486369508647485,51.027445805954997,48.124633675944601,47.856246952981458,46.03136303275506,47.644466264231298,51.024961639433329,"..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Namibia","NAM",62.869029369779014,70.47216815591797,63.220435755249568,66.383840574217203,65.049028551120173,65.808776396386108,64.869091540035058,70.836703849663877,72.920335124312473,68.898149209629707,70.119378560617733]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Nauru","NRU","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Nepal","NPL",80.279587572242306,79.787216839088842,78.556010308742472,76.455626604845534,78.251426109638686,79.511106629986472,77.799262658142808,79.877679339924555,84.40647594942044,75.357631857624384,70.499151345276786]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Netherlands","NLD",45.648008801016069,45.696672118711611,45.449766656706096,45.63925462705982,45.510332850408751,45.489452096483831,45.304068139853477,45.045274837393187,44.61732198092151,44.335537955905743,44.11379788356917]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","New Caledonia","NCL","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","New Zealand","NZL",57.937537575546628,58.372929869086896,58.074854744044757,58.590983910223649,59.140215107162732,57.762504083492374,57.609090758885053,57.439632917768549,57.701671626083439,57.546786004882023,58.147402825423413]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Nicaragua","NIC",80.412872183374546,81.332053651831842,80.492694583887996,77.211736311666499,75.658685290773178,75.88913154764316,73.523193753607302,70.497861705401391,70.388681428496298,70.892736525060513,70.939576236379892]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Niger","NER",70.156491878587531,74.834368175040595,72.188306206601439,72.92572737219507,67.074674730144451,66.126714954530016,65.405252206439869,65.975577797111455,65.589636691690927,66.826072853160454,65.905380823857939]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Nigeria","NGA",60.130737442323493,68.098543806589134,67.158733341283337,67.188804256273698,59.819362171146629,74.022377120655477,72.960761329147061,79.040416874913731,81.535281551656752,80.126831984637874,76.580693827742351]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","North Macedonia","MKD",78.605172455349589,76.747736492516069,75.542424353298458,73.910027445894528,73.891104192602157,71.751635315237777,69.804655147252532,68.842516557713168,66.918181894602341,65.892799221537473,64.322861452534269]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Northern Mariana Islands","MNP",53.674121405750796,54.213836477987421,55.319148936170201,61.527967257844473,62.450066577896138,63.171355498721226,61.53846153846154,56.498388829215884,44.080000000000005,37.913803872579642,46.560846560846556]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Norway","NOR",38.38827965279296,42.246696597585078,41.950137353997469,40.290430385403567,39.695815155801874,40.192053721903712,41.021276649938521,43.529246893771081,45.556829434875283,44.658161026551703,43.433327857802354]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Oman","OMN",28.06162754450618,36.44875384970949,31.93324862515523,30.58494755378608,29.262386814528433,29.45273763229304,30.794893180214284,38.23805768236587,41.045179356721675,43.844252731735615,38.32166037506979]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Pakistan","PAK",81.874042797683586,79.212000690621394,79.715606300021875,81.149791534894106,82.447462599456273,80.818845610105129,81.017807324185625,79.766284238583964,80.020455582170811,81.913411166618701,82.504552328603737]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Palau","PLW",69.088203271920023,71.448164987268854,69.975988943796921,71.59211344494959,73.437269810561929,73.150217289707058,71.23028456036883,66.16359240320412,65.992171277625118,69.287878184616062,69.367196382751942]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Panama","PAN",56.119188331912071,55.9725587786414,57.364564899134862,55.525540416649854,53.13173236506826,52.73662280701754,54.025219594763783,51.525649961084611,51.448817756428831,50.310251461856851,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Papua New Guinea","PNG","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Paraguay","PRY",67.272099719704386,67.301614539045858,64.49793716056142,63.638027900671936,66.062954795978698,62.950192644011814,64.161616253721988,64.822487959629854,63.288960566190234,63.907375027773149,64.703076102018628]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Peru","PER",62.429299243874006,63.782790162195724,61.73413566739606,60.419533705810601,62.243397863936664,63.095430829574141,64.570969456582944,65.317430379076654,65.003211521952608,64.149717510018334,63.748590315070572]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Philippines","PHL",74.33835031272227,74.673804643942475,71.550479069318087,73.468661289554959,74.214695257447502,73.353486951127962,72.531960214657289,73.756583735476809,73.70538594908497,73.471909527996914,73.82519824257237]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Poland","POL",61.781366318603439,61.576014714970327,61.56515818883026,61.465167753366046,61.520045414793564,60.940192347734765,60.021796876362309,58.408555370270179,58.479715352971773,58.337079442659387,58.059834288464394]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Portugal","PRT",66.205039552121747,64.756826066419308,65.925522209332428,65.886731290710472,66.457368821160117,65.421209216237258,66.135289191838154,65.554658131628528,65.432180635327043,64.579144045990759,64.817979887872056]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Puerto Rico","PRI",58.259512832752925,57.189144436513338,57.71808260309632,57.950986380898385,59.958765241500991,60.98350414836505,60.421608304098363,59.627764799202907,58.444823345955932,60.209189047119338,63.557132389803705]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Qatar","QAT",15.414351868402676,19.276881675122059,16.170112407010876,13.411287338178033,13.408687878083855,14.563936248304806,15.780954842285036,22.290240227743308,25.707172667276236,24.602547644909649,22.054444855991893]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Romania","ROU",63.889847001285204,63.12481352223719,63.820012229127656,63.436781173468212,63.649165320545308,61.120820622057046,61.521446398922166,61.75046780200276,62.504989313002632,62.988344620447464,62.441705864797228]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Russian Federation","RUS",48.898112131961746,54.636484599203904,51.487909978041536,50.039032437669292,50.965112917738317,52.947268774799525,53.435125298252814,52.418032982883211,53.085766904553132,52.677079257497027,49.370209241118658]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Rwanda","RWA",80.141198767360677,81.027488565398613,80.987800316366261,80.70562265643288,79.682458987116263,77.771627746640988,77.826712777852592,82.979560499293399,77.232018077800902,75.48600114861695,77.507288603036571]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Samoa","WSM","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","San Marino","SMR","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Sao Tome and Principe","STP","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Saudi Arabia","SAU",26.8795806361255,36.778804773052549,32.281119984733266,27.084686175854038,28.457639354966265,29.955592879354491,32.078861923330955,40.301692080247058,42.813852597381832,41.191422514670059,37.913441166786129]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Senegal","SEN","..","..","..","..","..","..",74.270076726342722,72.622684061777392,71.593668575074872,72.062581478985635,71.919712598843546]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Serbia","SRB",75.248014858250528,75.155719659235302,75.481102410821094,75.534513427109729,75.53789405667564,72.941173787189456,73.500412265353944,71.999196853107591,70.933413829984332,70.829054811991426,69.287177288114819]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Seychelles","SYC",56.466601071389519,52.935055926471861,50.277659120034166,53.152470445589572,57.371624601936148,54.446805938300884,55.985430873108875,53.883946483897724,55.817211659743592,58.254494523333079,56.824397152388961]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Sierra Leone","SLE",91.966747229547309,93.933362972557717,76.203995742173149,96.073150882509466,89.785852435767225,107.73218121916976,100.83098745523135,103.08866450630391,102.10557967630432,93.080682181131323,98.964826641724727]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Singapore","SGP",39.95092384654248,39.102921622057082,36.33783829658136,36.615610020152673,37.306048070547938,37.333460129295496,37.584381318964198,37.15808060615322,36.420135472072204,35.621429664320232,34.946073136940136]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Sint Maarten (Dutch part)","SXM","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Slovak Republic","SVK",55.827624843976288,59.672190188521604,57.191565342933224,55.714115744617729,56.070238153916385,55.48896242067346,55.071273477016632,54.046079376066146,55.083804181226284,55.874664512780591,55.932930767426804]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Slovenia","SVN",51.058995547496544,54.984260332439064,56.160657192705465,56.53062404365069,57.486588796729855,56.095957833840693,54.984229542567185,54.011678799479903,53.905758306637097,52.65634507839416,52.283211032078]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Solomon Islands","SLB","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Somalia","SOM","..","..","..","..","..",146.04241767728749,151.93279750489677,150.98163268796011,151.78624141264629,157.41627398085404,155.87392752242252]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","South Africa","ZAF",60.015077691053385,59.508022763697241,59.018581339852595,59.566619034162841,60.961724837228438,60.570595509272941,59.969160266186606,59.758230112269885,59.287392235940764,59.234838389978982,59.931360908381571]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","South Sudan","SSD",36.642066420664342,46.478125442446533,41.453793103448163,38.95165528113511,64.262994880819718,92.305331328189453,61.492931085962695,7.3291473713986086,"..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Spain","ESP",57.457813636449664,56.928449121546997,58.088913209453821,58.479661353139747,59.522218526058126,58.974781153096792,59.36213254172327,58.4837461372136,58.200908568555633,58.373512537460904,58.293635048615322]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Sri Lanka","LKA",69.950542795876018,64.447407840641716,68.450920543370756,71.267537809333106,65.178795607992853,67.593663241029816,67.385822774790455,67.358516460272909,70.976966057399196,69.922987156424327,69.766580298196956]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","St. Kitts and Nevis","KNA","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","St. Lucia","LCA",72.61297592970287,59.838448729656299,62.906425015248089,66.442911387149636,60.798928407602219,62.086483965861063,62.177532562814896,59.934823636238541,71.640768625304759,"..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","St. Martin (French part)","MAF","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","St. Vincent and the Grenadines","VCT","..","..","..","..","..",80.722368867023405,84.050386038486806,80.310666902009245,81.37248919156751,79.443563921304616,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Sudan","SDN",62.347984089139231,70.50046653344539,66.719466055873966,68.575870105362554,73.03174755048633,72.620390844715175,71.428135199326718,74.711071522525572,74.719968529883971,73.322227829015759,72.700520609118286]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Suriname","SUR",40.14229738090328,36.726828351193838,35.920953889769031,"..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Sweden","SWE",45.103841669308594,47.531331477832026,46.843289516547607,46.456840267825498,46.796296033343523,46.951144259638255,46.637097629067917,45.722377856289221,45.266485181956881,44.951489338128212,44.656038158034107]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Switzerland","CHE",53.084396508508057,54.474749555763367,53.855365183441705,53.148609880628918,53.370953666425081,53.468347746784985,53.105327188103146,53.297390754106175,53.386117740784634,53.713755044493105,53.259733679455287]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Syrian Arab Republic","SYR","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Tajikistan","TJK",111.56039984187045,104.00659282061224,110.93977034941373,110.78078287791269,114.88229714819802,116.61805407178103,103.16908216855099,95.924906060274282,90.69533087000336,82.390485901407899,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Tanzania","TZA",61.290203926661526,60.455335366999165,66.0459337488046,68.464646822527669,64.353993867739888,63.091017325841491,61.695844780818575,63.861870816371393,61.479228250879558,59.444877548673801,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Thailand","THA",53.639378538965765,53.065819923600131,52.175510871378464,52.960972305922382,52.95689896966482,52.239956417116559,52.405814501121327,51.019662873930471,49.819496544349754,48.727591839481853,48.735951036309018]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Timor-Leste","TLS",10.874251238469398,16.940826993011488,15.743953311076053,12.186859397028798,12.010783310825946,15.92846742033595,23.2006758647548,30.111990953445112,40.158358664544394,41.169416549731203,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Togo","TGO",85.857779345098365,81.27490789640099,83.153954992544925,82.985586503522683,76.600193573638393,75.145432295883182,73.572971257348783,71.754369427339114,69.173064100196726,68.054496491462984,67.031375423800313]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Tonga","TON",102.53049826885443,104.46481314044604,97.989434544689232,92.247316129032257,93.773732200849381,"..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Trinidad and Tobago","TTO","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Tunisia","TUN",61.378053767293075,62.01744459517495,62.540817863911379,65.945167012444912,66.328758400327487,67.673975734621862,69.114231797530238,71.322991978896937,71.815449243307583,72.166790380432815,72.125903374144485]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Turkey","TUR",61.612630516808117,61.996308236821605,63.056178865918824,63.167152806758168,62.374048356778914,61.907985814551047,60.760541356566421,60.368236718590353,59.823771162667818,59.030416136511597,56.687205187092417]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Turkmenistan","TKM",37.300514857489389,14.251484265157696,5.0447756440135487,7.7935012902838618,15.077921032149913,"..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Turks and Caicos Islands","TCA","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Tuvalu","TUV","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Uganda","UGA",73.509322860355496,77.770353650353655,76.295452044703055,74.639813542116173,77.376710908969955,73.945280619573509,74.205998574189152,76.851364073720219,77.06589287945377,74.536903013496996,72.213604172146944]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Ukraine","UKR",61.792930439400685,64.040598210978288,63.771858143727776,66.810000992314571,68.286265305207138,72.165058920364345,71.443587085634704,67.753793730488226,66.597760428479134,67.077216860452253,69.065553602910725]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","United Arab Emirates","ARE",58.38284860467752,52.287607103434667,42.279791087962629,38.369254917372444,32.113746542107926,33.91027249806536,36.240857236722206,35.380349535783125,36.185635523470239,37.012053467875653,38.538813576076301]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","United Kingdom","GBR",64.234674334923966,64.630066756571452,64.249244815775,64.279448410154572,64.555652824441211,64.852037669974166,64.454575920909321,64.473137822813555,65.099707889684638,65.013585677620966,65.510041218944465]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","United States","USA",67.806944347688088,68.117202723347802,67.941570013663139,68.464233377951828,67.955849885315743,67.425151527381701,67.474740472124665,67.424558731550277,68.147510143445132,68.318146917776858,68.138784913438315]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Uruguay","URY",69.380865981696701,66.627419164692441,66.959546677951508,66.759965503434486,67.032681091772275,67.004731838008638,67.103095565386312,66.831337914087612,66.138225238451014,67.205834316104557,66.794544145697046]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Uzbekistan","UZB",49.446112117588491,53.928887952753989,57.033943197288494,56.018161755060504,57.631485933069726,59.924525179336122,60.07469428276567,61.377554401456436,62.979947761917373,59.852492542971717,54.472527416271802]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Vanuatu","VUT",55.568360738227796,57.350389287304779,60.568088114029919,60.094817490440647,61.10060070427398,61.100484149703838,61.623835467519484,"..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Venezuela, RB","VEN",51.501545903684466,62.880646462732471,55.894882734672244,55.161900287165977,59.272836204588117,65.090030346302356,75.289602232412136,"..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Vietnam","VNM",70.874238187379447,68.493584552737232,66.561792691539821,66.347360317711548,64.498944512249423,65.457296369517621,65.805783654861941,67.961692991565187,68.5427716899936,68.033699728824061,67.571971509465683]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Virgin Islands (U.S.)","VIR",54.376470588235293,56.340709017368553,55.957593915648765,59.542344892663365,61.733821733821735,67.145135566188202,69.768083931529546,67.422625400213448,65.415480196738287,65.551232166018153,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Occupied Palestinian Territory","PSE",103.629279988012,98.706694917586205,93.735064119105601,91.753779119766094,90.062414667446902,88.671048412952899,93.1171159835163,93.151582103685001,91.896139493657699,88.595747028920997,89.698889565473195]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Yemen, Rep.","YEM","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Zambia","ZMB","..","..",54.591790026117124,55.761997676101117,52.713152311776554,52.201704216929166,52.166984730539632,50.646713319965897,51.402372997436352,"..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Zimbabwe","ZWE",119.41291202840915,100.63403900846917,89.763475373385546,83.693237863498638,93.973093506359064,87.032800238017657,83.61181612210018,89.515306539800193,83.346653330464122,76.671162248920211,74.15413650986018]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Arab World","ARB",41.422333993684106,47.568623638142242,43.121010671127735,40.013549964042802,40.518610289538934,42.343067592680775,44.334077549344556,48.729001892300133,50.798805532091073,50.525764285735491,48.677156855741572]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Caribbean small states","CSS","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Central Europe and the Baltics","CEB",58.235540033244163,58.664353756644957,58.508361163331358,58.271395788988258,58.668685721649915,57.833151864678818,56.961463923790369,55.915883982798924,56.161315788058317,56.14302489569473,55.847972201762566]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Early-demographic dividend","EAR",58.091163896649697,59.427278111640128,58.164178122013915,58.013900170584989,58.875779091351831,59.669765623645183,60.163837578540928,61.661038139418288,61.763052871470187,62.175108817487576,60.69077269931622]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","East Asia & Pacific","EAS",48.945668036470856,49.457046547335558,48.603743808022202,49.047880376996595,49.53103146591264,49.765936506831231,49.825874866207094,49.576124728604142,49.639140377969085,49.041855685016259,49.11421008402764]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","East Asia & Pacific (excluding high income)","EAP",41.168125133819885,41.253263388822113,40.261432734628208,40.815937901089015,41.468216935641074,41.678338113930742,42.288815272624419,43.137919144474274,43.859174762212881,42.980106997429274,42.964352370960796]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","East Asia & Pacific (IDA & IBRD countries)","TEA",41.168065046096039,41.253592661230101,40.261456009936893,40.815944520672488,41.468420668620077,41.678440526122188,42.288842253408582,43.137913059954009,43.859130519709865,42.979954404982259,42.964251200077008]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Euro area","EMU",55.062532811738514,56.137408961291221,55.966379319943741,55.792987941042711,56.059049736439185,55.832184252851839,55.364435594953719,54.832561027442665,54.63962564377011,54.436989885902882,54.304479862955482]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Europe & Central Asia","ECS",55.451904109045905,56.780581418913577,56.380264923289289,56.108250427655499,56.41018886484423,56.485005056706825,56.08301840980269,55.670322349035011,55.683213098711889,55.447177386425111,55.043264204980737]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Europe & Central Asia (excluding high income)","ECA",54.844999123918001,57.975776117334348,56.536409212947454,55.689094784913337,56.337312696095651,57.747389772784956,57.701565711725095,57.263374493896009,57.453249291961612,56.848402986977433,54.408095695496407]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Europe & Central Asia (IDA & IBRD countries)","TEC",55.914323052648776,58.509889571207893,57.299715541610759,56.591366350878246,57.162066718049935,58.274630672231794,58.076562569295071,57.455570496085244,57.611546080784805,57.079021448562706,54.988253471590959]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","European Union","EUU",56.159856812534763,57.101304235253011,56.886903975085133,56.753229557776613,57.029348871837051,56.841573391712373,56.358830885833427,55.866152258179099,55.801237164381796,55.627735849203702,55.57463058456409]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Fragile and conflict affected situations","FCS",53.623202158121806,"..",62.952907461564934,59.223610747252401,61.377372150254679,64.172586209142551,64.288585344830096,66.140121981231459,70.658498822533545,"..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Heavily indebted poor countries (HIPC)","HPC",74.048907277493129,74.615516518108805,72.887299461022749,72.191879678697546,72.159581110873006,71.117964205578602,70.122440241940524,71.791185557264512,71.415365676788909,70.522423155533218,70.641887357498817]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","High income","HIC",59.11050522776199,60.006691032677672,59.56656539264231,59.595193779624232,59.57225824948901,59.427159960043539,59.228328781419414,59.030382598944321,59.244060398294053,59.11743205835149,59.009706502573934]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","IBRD only","IBD",51.095799159203118,52.390245324172483,51.114590331091854,51.259825153140255,52.096313845595915,52.795518665354201,53.444504107321485,54.277128933725514,54.700439392502183,54.468452279570627,53.317544534738921]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","IDA & IBRD total","IBT",52.224260272226616,53.523522395247852,52.320993419286523,52.471243166415974,53.198788764981671,54.006981941195654,54.5614683914295,55.410086266224653,55.846541705268841,55.588220075181844,54.468297739058627]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","IDA blend","IDB",68.702968424210653,71.403887363813467,71.199714906026855,71.534339705090417,69.130710489164983,74.97191036131079,74.480778962940136,77.229542854444773,78.473684263599992,77.814254762652354,76.193921132026048]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","IDA only","IDX",76.039776162439466,75.784502773497692,72.95891880926898,71.956970826587849,72.276639109220895,71.703648840699771,69.997583307245179,69.643452365102291,69.994442246816917,71.349869867551845,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","IDA total","IDA",72.176022926697172,73.477557087089949,72.096422438778276,71.755700967111565,70.776134592800361,73.261179821290384,72.109526244159269,73.219041638233307,74.027746888286828,74.640980659624148,74.212892640620638]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Late-demographic dividend","LTE",46.541982971528377,47.641803577896894,46.199191950296246,46.184373589665242,46.700177357186277,47.166199969290709,47.860367472886253,48.415207991330277,49.080960350087572,48.492003767384887,48.017184789224416]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Latin America & Caribbean","LCN",62.227377929674212,63.515666045095202,62.376220386653166,62.211377757506135,63.113477036443811,64.158636469152086,65.258756198401727,66.503805803344875,66.549963436059684,67.446307316744779,65.005869460743185]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Latin America & Caribbean (excluding high income)","LAC",62.366655144283754,63.846799321432975,62.605059006778177,62.364058073932057,63.255407105017639,64.321161445825155,65.480047947393885,66.839799027792765,66.91731838279108,67.859742271902221,65.091928673933566]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Latin America & the Caribbean (IDA & IBRD countries)","TLA",62.469151424144449,63.830775020223307,62.601847176700211,62.394100872288433,63.276874069380419,64.337647802280699,65.466437034059325,66.758214418732365,66.822990712116294,67.712079273188834,65.151601106437596]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Least developed countries: UN classification","LDC",65.883847077457247,68.61617093308594,65.461398194106962,64.984806747816592,65.522334306836044,65.884734265906502,65.651499422174439,66.593942857653161,67.637335533839831,68.798937357983974,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Low & middle income","LMY",51.851449546759291,53.219424627303113,51.978565938832475,52.127145976558459,52.870275984401196,53.713876412319436,54.316849578654448,55.247246211346848,55.702695354147089,55.440319321483571,54.269058940533917]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Low income","LIC","..","..","..",74.781558159433942,75.698098590708767,76.480406088417254,73.641185307452346,72.177469293901652,74.750741350399764,72.262305940494628,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Lower middle income","LMC",62.577744339707991,62.877134742435381,61.373105875399546,62.036775055953697,62.278934568282843,63.62279552075767,63.936549055873989,64.865694069827029,65.223341344800502,65.385985393358155,65.452618150345685]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Middle East & North Africa","MEA",42.436007121234042,47.308495763906144,43.797521929759114,41.518648547889221,42.491561666354706,43.400280151381466,45.019547468547209,48.882968587697547,50.296056282733936,49.78747749264668,48.583982481238458]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Middle East & North Africa (excluding high income)","MNA",47.264646506532259,53.985477437584564,51.817074343333523,51.046359187345381,54.383605878982671,55.010359846000341,56.462629767706062,59.078979719721815,59.908610344030983,59.627919893379449,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Middle East & North Africa (IDA & IBRD countries)","TMN",46.856638003842583,53.639972718761847,51.493226646710163,50.731864044541226,54.107960503185367,54.75054626588895,56.179708244222333,58.815986739305458,59.661711221609536,59.404328659909496,".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Middle income","MIC",51.575466270830212,52.962904771970145,51.707911972735339,51.829119530823526,52.5721598028587,53.415006652627987,54.063351243451841,55.02514649014357,55.463729124656211,55.228385979376462,54.087385684478882]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","North America","NAC",66.608092668904817,67.168567049709708,66.955472048298574,67.330761972270437,66.879632726704173,66.392288213212723,66.426883272210517,66.56410201622181,67.275022217013259,67.384488431850841,67.222143117027542]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Not classified","INX","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","OECD members","OED",60.103199580012323,60.881656373604429,60.619525500899812,60.721173996441422,60.696711568667723,60.541925625321859,60.261907781832569,59.915467558971564,60.073335026147113,59.943152727416674,59.817489909608803]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Other small states","OSS",35.623037953402012,38.803475752975082,36.638633192671342,34.859635301321873,35.229987943560843,36.416786677250855,36.762917981347755,40.505106998858771,41.904934136000371,41.0101613947622,40.068665077004823]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Pacific island small states","PSS","..","..","..","..","..","..","..","..","..","..",".."]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Post-demographic dividend","PST",59.850235347291189,60.704063531991238,60.412277782629872,60.551137295368548,60.561919620722882,60.393655970785936,60.156139481531,59.863475006489168,60.020739387624474,59.914247331957476,59.850627910615195]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Pre-demographic dividend","PRE",56.178312370090381,64.139567452689121,60.87808371268887,59.377438413177629,58.549211067001423,64.617808010438821,64.998383191881899,68.810277815140381,71.89821572602871,70.17506706842282,70.379649631838191]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Small states","SST",39.464587154250815,41.741155959640182,40.015413208863514,38.707857800835477,38.976109421623633,40.099559193536741,40.40498685861602,43.45788334285978,44.5362267638736,43.817592716964029,42.856345992866885]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","South Asia","SAS",61.198260447772171,60.038177781502213,59.141848175595591,60.501644748763539,60.579539911497378,61.385516153915113,61.743775155044666,62.359018474519992,62.55122649380413,62.307134647845416,62.655586329662839]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","South Asia (IDA & IBRD)","TSA",61.198260447772171,60.038177781502199,59.141848175595584,60.501644748763546,60.579539911497392,61.385516153915113,61.743775155044673,62.359018474519985,62.55122649380413,62.307134647845416,62.655586329662839]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Sub-Saharan Africa","SSF",61.323926468553616,64.677945665369734,62.97846865511103,63.172252475615551,62.663845695537546,65.667817051316291,65.103676843162489,67.213087755618787,68.305311584353518,67.734599843232644,68.048080754681621]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Sub-Saharan Africa (excluding high income)","SSA",61.328138037650213,64.688127398625213,62.989293464025337,63.180535726564244,62.668227816049061,65.677099802079752,65.111128996614212,67.223981386527967,68.31561628762465,67.74255357229724,68.058637211616656]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Sub-Saharan Africa (IDA & IBRD countries)","TSS",61.323926468553616,64.677945665369705,62.978468655111037,63.172252475615565,62.663845695537553,65.667817051316263,65.103676843162461,67.213087755618787,68.305311584353504,67.73459984323263,68.048080754681592]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","Upper middle income","UMC",48.603618502896659,50.27090191749361,49.036417321416522,49.006896584613152,49.888420876791599,50.588097920089432,51.319966876647094,52.291262758937677,52.75233071359451,52.460136818887825,50.885567607749039]
["Households and NPISHs final consumption expenditure (% of GDP)","NE.CON.PRVT.ZS","World","WLD",56.984280625665086,58.024598248614872,57.344150697134012,57.405524477242928,57.60733483856864,57.753245968884784,57.788444379595276,57.921266648300396,58.206202980648179,58.042969188305094,57.672558009648057]
[]
[]
["Data from database: World Development Indicators"]
["Last Updated: 04/09/2020"]
[]
["Data from database: World Development Indicators","https://datacatalog.worldbank.org/dataset/world-development-indicators"]

{"sheet":"T_Source_HC_exp","index":47,"n_rows":22,"n_cols":5,"rows_kept":22,"cut":false,"hidden":false,"merged":[]}
["Household Consumption Expenditure in current prices"]
[]
["Extracted from knoema.com"]
[]
["Country","Year","Value","GDP","%"]
["Antigua and Barbuda",2017,2550859264,3964000000,{"$f":"C6/D6*100","v":64.350637336024221}]
["Fiji",2017,6288787194,11065000000,{"$f":"C7/D7*100","v":56.834949787618619}]
["Cuba",2017,54153000000,{"$f":"96851000000","v":96851000000},55.913723141733172]
["Haiti",2017,587308000000,551911000000,106.41353406618097]
["Kiribati",2017,262096865,242000000,108.30448966942147]
["Maldives",2017,36829826072,74866000000,49.194328629818607]
["Papua New Guinea",2017,37320502052,71208000000,52.410546640826873]
["Samoa",2017,2025974013,2133000000,94.982372855133619]
["Sao Tome and Principe",2017,6668151115,8154000000,81.777668812852582]
["Solomon Islands",2017,5126212475,10309000000,49.725603598797171]
["St. Lucia",2017,2815999149,4905000000,57.41078795107034]
["St. Vincent and the Grenadines",2017,1590103095,2138999999.9999998,74.338620617110806]
["Trinidad and Tobago",2017,91903508118,150847000000,60.924982345025093]
["Yemen, Rep.",2017,5994161176849,9192077000000,65.21008447654431]
[]
[]
["GDP taken from IMF WEO October 2019"]

{"sheet":"L_Source_PennState","index":48,"n_rows":199,"n_cols":15,"rows_kept":199,"cut":false,"hidden":false,"merged":[[4,3,4,5],[4,6,4,8],[4,9,4,11],[4,12,4,14]]}
["Labour Rights Indicators 2016 designed by the Global Labour University and the Center for Global Workers’ Rights at Penn State University (see http://labour-rights-indicators.la.psu.edu )"]
["downloaded 14/04/2020",null,null,"http://labour-rights-indicators.la.psu.edu"]
[]
[]
[null,null,null,"Violations",null,null,"Weighted Scores",null,null,"Normalized Scores",null,null,"Normalized Scores without default"]
["Country*","M49 code","ISO-alpha3 code","Violations Overall","Violation In Law","Violations In Practice","Weighted Overall","Weighted In Law","Weighted In Practice","Normalized Overall","Normalized In Law","Normalized In Practice","Normalized without default Overall","Normalized without default In Law","Normalized without default In Practice"]
["Afghanistan","004","AFG",5,5,0,8.51,8.51,0,0.89578899999999995,1.4183330000000001,0,0.89578899999999995,1.4183330000000001,0]
["Albania","008","ALB",12,4,8,20.98,7.29,13.69,2.208421,1.2150000000000001,2.2816670000000001,2.208421,1.2150000000000001,2.2816670000000001]
["Algeria","012","DZA",31,14,17,55.04,24.48,30.56,5.7936839999999998,4.08,5.0933330000000003,5.7936839999999998,4.08,5.0933330000000003]
["Angola","024","AGO",18,13,5,30.13,21.7,8.43,3.1715789999999999,3.6166670000000001,1.405,3.1715789999999999,3.6166670000000001,1.405]
["Antigua and Barbuda","028","ATG",4,4,0,6.87,6.87,0,0.72315799999999997,1.145,0,0.72315799999999997,1.145,0]
["Argentina","032","ARG",27,7,20,47.07,11.56,35.51,4.9547369999999997,1.9266669999999999,5.9183329999999996,4.9547369999999997,1.9266669999999999,5.9183329999999996]
["Armenia","051","ARM",10,6,4,16.91,9.98,6.93,1.78,1.663333,1.155,1.78,1.663333,1.155]
["Australia","036","AUS",25,18,7,42.95,30.81,12.14,4.5210530000000002,5.1349999999999998,2.023333,4.5210530000000002,5.1349999999999998,2.023333]
["Austria","040","AUT",2,0,2,3.57,0,3.57,0.37578899999999998,0,0.59499999999999997,0.37578899999999998,0,0.59499999999999997]
["Azerbaijan","031","AZE",12,4,8,21.02,7.16,13.86,2.2126320000000002,1.193333,2.31,2.2126320000000002,1.193333,2.31]
["Bahamas, The","044","BHS",15,14,1,25.41,23.59,1.82,2.6747369999999999,3.931667,0.30333300000000002,2.6747369999999999,3.931667,0.30333300000000002]
["Bahrain","048","BHR",35,21,14,61.05,35.64,25.41,6.4263159999999999,5.94,4.2350000000000003,6.4263159999999999,5.94,4.2350000000000003]
["Bangladesh","050","BGD",45,26,19,79.41,45.39,34.020000000000003,8.3589470000000006,7.5650000000000004,5.67,8.3589470000000006,7.5650000000000004,5.67]
["Barbados","052","BRB",17,10,7,29.45,17.010000000000002,12.44,3.1,2.835,2.0733329999999999,3.1,2.835,2.0733329999999999]
["Belarus",112,"BLR",28,11,17,49.46,18.79,30.67,10,3.1316670000000002,10,5.2063160000000002,3.1316670000000002,5.1116669999999997]
["Belgium","056","BEL",9,0,9,15.77,0,15.77,1.66,0,2.628333,1.66,0,2.628333]
["Belize","084","BLZ",14,10,4,24.67,17.440000000000001,7.23,2.5968420000000001,2.9066670000000001,1.2050000000000001,2.5968420000000001,2.9066670000000001,1.2050000000000001]
["Benin",204,"BEN",20,14,6,34.96,24.16,10.8,3.68,4.0266669999999998,1.8,3.68,4.0266669999999998,1.8]
["Bolivia","068","BOL",19,15,4,33.17,25.97,7.2,3.4915790000000002,4.3283329999999998,1.2,3.4915790000000002,4.3283329999999998,1.2]
["Bosnia and Herzegovina","070","BIH",13,4,9,22.3,6.72,15.58,2.3473679999999999,1.1200000000000001,2.5966670000000001,2.3473679999999999,1.1200000000000001,2.5966670000000001]
["Botswana","072","BWA",24,22,2,41.09,37.94,3.15,4.3252629999999996,6.3233329999999999,0.52500000000000002,4.3252629999999996,6.3233329999999999,0.52500000000000002]
["Brazil","076","BRA",23,11,12,40.29,18.28,22.01,4.241053,3.0466669999999998,3.6683330000000001,4.241053,3.0466669999999998,3.6683330000000001]
["Brunei Darussalam","096","BRN",17,17,0,30.15,30.15,0,3.1736840000000002,5.0250000000000004,0,3.1736840000000002,5.0250000000000004,0]
["Bulgaria",100,"BGR",17,10,7,29.37,17.100000000000001,12.27,3.0915789999999999,2.85,2.0449999999999999,3.0915789999999999,2.85,2.0449999999999999]
["Burkina Faso",854,"BFA",11,7,4,18.89,11.82,7.07,1.988421,1.97,1.1783330000000001,1.988421,1.97,1.1783330000000001]
["Burundi",108,"BDI",21,20,1,35.1,33.65,1.45,3.6947369999999999,5.608333,0.24166699999999999,3.6947369999999999,5.608333,0.24166699999999999]
["Cabo Verde",132,"CPV",3,2,1,4.51,3.06,1.45,0.47473700000000002,0.51,0.24166699999999999,0.47473700000000002,0.51,0.24166699999999999]
["Cambodia",116,"KHM",33,17,16,58.55,29.17,29.38,6.1631580000000001,4.8616669999999997,4.8966669999999999,6.1631580000000001,4.8616669999999997,4.8966669999999999]
["Cameroon",120,"CMR",28,13,15,49.81,23.32,26.49,5.2431580000000002,3.8866670000000001,4.415,5.2431580000000002,3.8866670000000001,4.415]
["Canada",124,"CAN",11,9,2,18.05,14.82,3.23,1.9,2.4700000000000002,0.53833299999999995,1.9,2.4700000000000002,0.53833299999999995]
["Central African Republic",140,"CAF",12,12,0,20.02,20.02,0,2.1073680000000001,3.3366669999999998,0,2.1073680000000001,3.3366669999999998,0]
["Chad",148,"TCD",12,7,5,20.82,11.95,8.8699999999999992,2.1915789999999999,1.9916670000000001,1.4783329999999999,2.1915789999999999,1.9916670000000001,1.4783329999999999]
["Chile",152,"CHL",16,9,7,27.64,15.22,12.42,2.9094739999999999,2.536667,2.0699999999999998,2.9094739999999999,2.536667,2.0699999999999998]
["China",156,"CHN",30,16,14,54.22,28.38,25.84,10,10,10,5.7073679999999998,4.7300000000000004,4.306667]
["Colombia",170,"COL",34,8,26,60.32,13.85,46.47,6.3494739999999998,2.3083330000000002,7.7450000000000001,6.3494739999999998,2.3083330000000002,7.7450000000000001]
["Comoros",174,"COM",10,8,2,16.440000000000001,13.17,3.27,1.730526,2.1949999999999998,0.54500000000000004,1.730526,2.1949999999999998,0.54500000000000004]
["Congo, Rep.",178,"COG",9,7,2,15.5,11.95,3.55,1.6315789999999999,1.9916670000000001,0.59166700000000005,1.6315789999999999,1.9916670000000001,0.59166700000000005]
["Cook Islands","184","COK","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
["Costa Rica",188,"CRI",15,6,9,25.97,10.220000000000001,15.75,2.7336839999999998,1.703333,2.625,2.7336839999999998,1.703333,2.625]
["Cote d'Ivoire",384,"CIV",14,5,9,24.74,8.6,16.14,2.6042109999999998,1.433333,2.69,2.6042109999999998,1.433333,2.69]
["Croatia",191,"HRV",12,6,6,20.89,10.54,10.35,2.198947,1.756667,1.7250000000000001,2.198947,1.756667,1.7250000000000001]
["Cuba",192,"CUB",8,1,7,14.76,1.66,13.1,10,0.276667,10,1.5536840000000001,0.276667,2.1833330000000002]
["Cyprus",196,"CYP",1,0,1,1.8,0,1.8,0.189474,0,0.3,0.189474,0,0.3]
["Czech Republic",203,"CZE",13,7,6,22.4,12.08,10.32,2.3578950000000001,2.0133329999999998,1.72,2.3578950000000001,2.0133329999999998,1.72]
["Congo, Dem. Rep.",180,"COD",27,13,14,47.61,22.58,25.03,5.0115790000000002,3.7633329999999998,4.1716670000000002,5.0115790000000002,3.7633329999999998,4.1716670000000002]
["Denmark",208,"DNK",3,2,1,5.07,3.48,1.59,0.53368400000000005,0.57999999999999996,0.26500000000000001,0.53368400000000005,0.57999999999999996,0.26500000000000001]
["Djibouti",262,"DJI",23,8,15,41.46,13.92,27.54,10,2.3199999999999998,10,4.3642110000000001,2.3199999999999998,4.59]
["Dominica",212,"DMA",1,1,0,1.64,1.64,0,0.17263200000000001,0.27333299999999999,0,0.17263200000000001,0.27333299999999999,0]
["Dominican Republic",214,"DOM",17,9,8,29.35,15.48,13.87,3.0894740000000001,2.58,2.3116669999999999,3.0894740000000001,2.58,2.3116669999999999]
["Ecuador",218,"ECU",33,19,14,57.56,32.42,25.14,6.0589469999999999,5.4033329999999999,4.1900000000000004,6.0589469999999999,5.4033329999999999,4.1900000000000004]
["Egypt, Arab Rep.",818,"EGY",40,21,19,71.08,36.729999999999997,34.35,10,10,10,7.4821049999999998,6.1216670000000004,5.7249999999999996]
["El Salvador",222,"SLV",27,14,13,47.42,23.9,23.52,4.9915789999999998,3.983333,3.92,4.9915789999999998,3.983333,3.92]
["Equatorial Guinea",226,"GNQ",8,4,4,14.28,6.83,7.45,10,1.138333,10,1.503158,1.138333,1.2416670000000001]
["Eritrea",232,"ERI",10,6,4,17.809999999999999,10.47,7.34,10,1.7450000000000001,10,1.8747370000000001,1.7450000000000001,1.223333]
["Estonia",233,"EST",11,5,6,19.3,8.61,10.69,2.0315789999999998,1.4350000000000001,1.7816669999999999,2.0315789999999998,1.4350000000000001,1.7816669999999999]
["Eswatini",748,"SWZ",25,17,8,43.12,29.2,13.92,4.5389470000000003,4.8666669999999996,2.3199999999999998,4.5389470000000003,4.8666669999999996,2.3199999999999998]
["Ethiopia",231,"ETH",18,13,5,31.46,22.5,8.9600000000000009,3.3115790000000001,3.75,1.493333,3.3115790000000001,3.75,1.493333]
["Fiji",242,"FJI",30,20,10,52.88,34.31,18.57,5.5663159999999996,5.7183330000000003,3.0950000000000002,5.5663159999999996,5.7183330000000003,3.0950000000000002]
["Finland",246,"FIN",null,null,null,0,0,0,0,0,0,0,0,0]
["France",250,"FRA",9,3,6,15.89,4.91,10.98,1.6726319999999999,0.81833299999999998,1.83,1.6726319999999999,0.81833299999999998,1.83]
["Gabon",266,"GAB",11,2,9,19.649999999999999,3.64,16.010000000000002,2.0684209999999998,0.60666699999999996,2.6683330000000001,2.0684209999999998,0.60666699999999996,2.6683330000000001]
["Gambia, The",270,"GMB",7,7,0,12.13,12.13,0,1.276842,2.0216669999999999,0,1.276842,2.0216669999999999,0]
["Georgia",268,"GEO",20,10,10,34.51,16.52,17.989999999999998,3.6326320000000001,2.753333,2.9983330000000001,3.6326320000000001,2.753333,2.9983330000000001]
["Germany",276,"DEU",5,3,2,9.11,5.57,3.54,0.95894699999999999,0.92833299999999996,0.59,0.95894699999999999,0.92833299999999996,0.59]
["Ghana",288,"GHA",14,9,5,24.1,15.25,8.85,2.536842,2.5416669999999999,1.4750000000000001,2.536842,2.5416669999999999,1.4750000000000001]
["Greece",300,"GRC",13,10,3,21.46,16.600000000000001,4.8600000000000003,2.258947,2.766667,0.81,2.258947,2.766667,0.81]
["Grenada",308,"GRD",3,3,0,5.13,5.13,0,0.54,0.85499999999999998,0,0.54,0.85499999999999998,0]
["Guatemala",320,"GTM",35,13,22,61.86,22.45,39.409999999999997,6.5115790000000002,3.7416670000000001,6.568333,6.5115790000000002,3.7416670000000001,6.568333]
["Guinea",324,"GIN",15,7,8,26.04,11.41,14.63,2.741053,1.901667,2.4383330000000001,2.741053,1.901667,2.4383330000000001]
["Guinea-Bissau",624,"GNB",18,13,5,30.21,21.69,8.52,3.18,3.6150000000000002,1.42,3.18,3.6150000000000002,1.42]
["Guyana",328,"GUY",6,4,2,10.26,6.8,3.46,1.08,1.1333329999999999,0.57666700000000004,1.08,1.1333329999999999,0.57666700000000004]
["Haiti",332,"HTI",26,12,14,45.23,20.13,25.1,4.7610530000000004,3.355,4.1833330000000002,4.7610530000000004,3.355,4.1833330000000002]
["Honduras",340,"HND",30,12,18,52.38,20.46,31.92,5.5136839999999996,3.41,5.32,5.5136839999999996,3.41,5.32]
["Hungary",348,"HUN",19,9,10,32.9,15.35,17.55,3.463158,2.5583330000000002,2.9249999999999998,3.463158,2.5583330000000002,2.9249999999999998]
["Iceland",352,"ISL",1,0,1,1.64,0,1.64,0.17263200000000001,0,0.27333299999999999,0.17263200000000001,0,0.27333299999999999]
["India",356,"IND",35,23,12,61.49,39.880000000000003,21.61,6.4726319999999999,6.6466669999999999,3.601667,6.4726319999999999,6.6466669999999999,3.601667]
["Indonesia",360,"IDN",31,16,15,55.5,28.21,27.29,5.8421050000000001,4.7016669999999996,4.5483330000000004,5.8421050000000001,4.7016669999999996,4.5483330000000004]
["Iran (Islamic Republic of)",364,"IRN",32,16,16,57.67,28.32,29.35,10,10,10,6.0705260000000001,4.72,4.891667]
["Iraq",368,"IRQ",17,13,4,30.36,22.9,7.46,10,10,10,3.195789,3.8166669999999998,1.243333]
["Ireland",372,"IRL",2,2,0,3.05,3.05,0,0.32105299999999998,0.50833300000000003,0,0.32105299999999998,0.50833300000000003,0]
["Israel",376,"ISR",5,4,1,8.49,6.69,1.8,0.89368400000000003,1.115,0.3,0.89368400000000003,1.115,0.3]
["Italy",380,"ITA",5,0,5,8.76,0,8.76,0.92210499999999995,0,1.46,0.92210499999999995,0,1.46]
["Jamaica",388,"JAM",16,11,5,27.86,18.829999999999998,9.0299999999999994,2.9326319999999999,3.1383329999999998,1.5049999999999999,2.9326319999999999,3.1383329999999998,1.5049999999999999]
["Japan",392,"JPN",8,7,1,14.02,12.43,1.59,1.475789,2.0716670000000001,0.26500000000000001,1.475789,2.0716670000000001,0.26500000000000001]
["Jordan",400,"JOR",21,15,6,36.68,26.05,10.63,3.8610530000000001,4.3416670000000002,1.7716670000000001,3.8610530000000001,4.3416670000000002,1.7716670000000001]
["Kazakhstan",398,"KAZ",20,13,7,35.25,22.61,12.64,3.7105260000000002,3.7683330000000002,2.1066669999999998,3.7105260000000002,3.7683330000000002,2.1066669999999998]
["Kenya",404,"KEN",22,17,5,37.83,29.02,8.81,3.9821049999999998,4.8366670000000003,1.4683330000000001,3.9821049999999998,4.8366670000000003,1.4683330000000001]
["Kiribati",296,"KIR",7,6,1,11.89,10.44,1.45,1.251579,1.74,0.24166699999999999,1.251579,1.74,0.24166699999999999]
["Kuwait",414,"KWT",22,16,6,37.880000000000003,27.59,10.29,3.987368,4.5983330000000002,1.7150000000000001,3.987368,4.5983330000000002,1.7150000000000001]
["Kyrgyz Republic",417,"KGZ",9,5,4,15.62,8.5299999999999994,7.09,1.6442110000000001,1.421667,1.181667,1.6442110000000001,1.421667,1.181667]
["Lao PDR",418,"LAO",23,18,5,41.09,32,9.09,10,10,10,4.3252629999999996,5.3333329999999997,1.5149999999999999]
["Latvia",428,"LVA",7,5,2,11.96,8.34,3.62,1.258947,1.39,0.60333300000000001,1.258947,1.39,0.60333300000000001]
["Lebanon",422,"LBN",22,18,4,38.39,31.13,7.26,4.0410529999999998,5.1883330000000001,1.21,4.0410529999999998,5.1883330000000001,1.21]
["Lesotho",426,"LSO",11,9,2,18.91,15.52,3.39,1.990526,2.5866669999999998,0.56499999999999995,1.990526,2.5866669999999998,0.56499999999999995]
["Liberia",430,"LBR",9,4,5,16.07,7.13,8.94,1.6915789999999999,1.1883330000000001,1.49,1.6915789999999999,1.1883330000000001,1.49]
["Libya",434,"LBY",18,15,3,31.81,26.35,5.46,10,10,10,3.3484210000000001,4.391667,0.91]
["Lithuania",440,"LTU",8,6,2,13.04,9.6,3.44,1.3726320000000001,1.6,0.57333299999999998,1.3726320000000001,1.6,0.57333299999999998]
["Luxembourg",442,"LUX",1,1,0,1.8,1.8,0,0.189474,0.3,0,0.189474,0.3,0]
["Madagascar",450,"MDG",19,12,7,32.46,20.37,12.09,3.4168419999999999,3.395,2.0150000000000001,3.4168419999999999,3.395,2.0150000000000001]
["Malawi",454,"MWI",6,5,1,10.51,8.8699999999999992,1.64,1.1063160000000001,1.4783329999999999,0.27333299999999999,1.1063160000000001,1.4783329999999999,0.27333299999999999]
["Malaysia",458,"MYS",34,24,10,59.97,41.94,18.03,6.3126319999999998,6.99,3.0049999999999999,6.3126319999999998,6.99,3.0049999999999999]
["Maldives",462,"MDV",19,14,5,33.409999999999997,24.2,9.2100000000000009,3.516842,4.0333329999999998,1.5349999999999999,3.516842,4.0333329999999998,1.5349999999999999]
["Mali",466,"MLI",22,18,4,37.299999999999997,30.34,6.96,3.9263159999999999,5.056667,1.1599999999999999,3.9263159999999999,5.056667,1.1599999999999999]
["Malta",470,"MLT",8,6,2,13.7,10.36,3.34,1.442105,1.726667,0.55666700000000002,1.442105,1.726667,0.55666700000000002]
["Marshall Islands",584,"MHL",4,3,1,6.35,4.9000000000000004,1.45,0.66842100000000004,0.81666700000000003,0.24166699999999999,0.66842100000000004,0.81666700000000003,0.24166699999999999]
["Mauritania",478,"MRT",24,18,6,41.65,31.17,10.48,4.3842109999999996,5.1950000000000003,1.746667,4.3842109999999996,5.1950000000000003,1.746667]
["Mauritius",480,"MUS",21,9,12,36.07,15.19,20.88,3.7968419999999998,2.5316670000000001,3.48,3.7968419999999998,2.5316670000000001,3.48]
["Mexico",484,"MEX",23,12,11,39.28,20.04,19.239999999999998,4.1347370000000003,3.34,3.2066669999999999,4.1347370000000003,3.34,3.2066669999999999]
["Mongolia",496,"MNG",8,2,6,13.79,3.28,10.51,1.451579,0.54666700000000001,1.7516670000000001,1.451579,0.54666700000000001,1.7516670000000001]
["Montenegro",499,"MNE",10,5,5,16.8,8.2899999999999991,8.51,1.768421,1.381667,1.4183330000000001,1.768421,1.381667,1.4183330000000001]
["Morocco",504,"MAR",24,15,9,42.08,26.12,15.96,4.4294739999999999,4.3533330000000001,2.66,4.4294739999999999,4.3533330000000001,2.66]
["Mozambique",508,"MOZ",15,12,3,25.99,20.99,5,2.735789,3.4983330000000001,0.83333299999999999,2.735789,3.4983330000000001,0.83333299999999999]
["Myanmar",104,"MMR",23,15,8,39.69,25.59,14.1,4.1778950000000004,4.2649999999999997,2.35,4.1778950000000004,4.2649999999999997,2.35]
["Namibia",516,"NAM",12,9,3,20.61,15.54,5.07,2.1694740000000001,2.59,0.84499999999999997,2.1694740000000001,2.59,0.84499999999999997]
["Nepal",524,"NPL",23,19,4,39.44,32.71,6.73,4.1515789999999999,5.4516669999999996,1.121667,4.1515789999999999,5.4516669999999996,1.121667]
["Netherlands",528,"NLD",5,2,3,8.67,3.57,5.0999999999999996,0.912632,0.59499999999999997,0.85,0.912632,0.59499999999999997,0.85]
["New Zealand",554,"NZL",15,12,3,25.92,20.71,5.21,2.728421,3.451667,0.86833300000000002,2.728421,3.451667,0.86833300000000002]
["Nicaragua",558,"NIC",12,3,9,20.97,5.0999999999999996,15.87,2.2073680000000002,0.85,2.645,2.2073680000000002,0.85,2.645]
["Niger",562,"NER",14,8,6,24.95,13.84,11.11,2.6263160000000001,2.306667,1.851667,2.6263160000000001,2.306667,1.851667]
["Nigeria",566,"NGA",34,23,11,60.01,39.67,20.34,6.3168420000000003,6.6116669999999997,3.39,6.3168420000000003,6.6116669999999997,3.39]
["North Macedonia",807,"MKD",9,4,5,15.16,6.51,8.65,1.5957889999999999,1.085,1.441667,1.5957889999999999,1.085,1.441667]
["Norway",578,"NOR",1,1,0,1.64,1.64,0,0.17263200000000001,0.27333299999999999,0,0.17263200000000001,0.27333299999999999,0]
["Oman",512,"OMN",20,18,2,34.67,31.03,3.64,3.6494740000000001,5.1716670000000002,0.60666699999999996,3.6494740000000001,5.1716670000000002,0.60666699999999996]
["Pakistan",586,"PAK",42,28,14,73.94,48.99,24.95,7.7831580000000002,8.1649999999999991,4.1583329999999998,7.7831580000000002,8.1649999999999991,4.1583329999999998]
["Palau",585,"PLW",2,2,0,3.45,3.45,0,0.36315799999999998,0.57499999999999996,0,0.36315799999999998,0.57499999999999996,0]
["Panama",591,"PAN",24,17,7,41.27,28.91,12.36,4.3442109999999996,4.818333,2.06,4.3442109999999996,4.818333,2.06]
["Papua New Guinea",598,"PNG",11,9,2,19.03,15.41,3.62,2.003158,2.568333,0.60333300000000001,2.003158,2.568333,0.60333300000000001]
["Paraguay",600,"PRY",25,14,11,42.86,23.45,19.41,4.5115790000000002,3.9083329999999998,3.2349999999999999,4.5115790000000002,3.9083329999999998,3.2349999999999999]
["Peru",604,"PER",37,16,21,64.36,27.16,37.200000000000003,6.774737,4.5266669999999998,6.2,6.774737,4.5266669999999998,6.2]
["Philippines",608,"PHL",39,17,22,69.760000000000005,29.42,40.340000000000003,7.3431579999999999,4.9033329999999999,6.7233330000000002,7.3431579999999999,4.9033329999999999,6.7233330000000002]
["Poland",616,"POL",14,8,6,24.54,13.9,10.64,2.5831580000000001,2.3166669999999998,1.773333,2.5831580000000001,2.3166669999999998,1.773333]
["Portugal",620,"PRT",10,5,5,16.010000000000002,8.15,7.86,1.685263,1.358333,1.31,1.685263,1.358333,1.31]
["Qatar",634,"QAT",29,23,6,51.24,40.08,11.16,10,10,10,5.3936840000000004,6.68,1.86]
["Korea, Rep.",410,"KOR",40,21,19,69.760000000000005,35.58,34.18,7.3431579999999999,5.93,5.6966669999999997,7.3431579999999999,5.93,5.6966669999999997]
["Moldova",498,"MDA",12,7,5,20.46,11.79,8.67,2.1536840000000002,1.9650000000000001,1.4450000000000001,2.1536840000000002,1.9650000000000001,1.4450000000000001]
["Romania",642,"ROU",21,14,7,35.380000000000003,23.3,12.08,3.7242109999999999,3.8833329999999999,2.0133329999999998,3.7242109999999999,3.8833329999999999,2.0133329999999998]
["Russian Federation",643,"RUS",23,16,7,39.049999999999997,26.6,12.45,4.1105260000000001,4.4333330000000002,2.0750000000000002,4.1105260000000001,4.4333330000000002,2.0750000000000002]
["Rwanda",646,"RWA",21,15,6,36.19,25.82,10.37,3.8094739999999998,4.3033330000000003,1.7283329999999999,3.8094739999999998,4.3033330000000003,1.7283329999999999]
["Saint Kitts and Nevis",659,"KNA",7,6,1,11.72,9.9,1.82,1.233684,1.65,0.30333300000000002,1.233684,1.65,0.30333300000000002]
["St. Lucia",662,"LCA",2,2,0,3.68,3.68,0,0.38736799999999999,0.61333300000000002,0,0.38736799999999999,0.61333300000000002,0]
["St. Vincent and the Grenadines",670,"VCT",5,5,0,8.1199999999999992,8.1199999999999992,0,0.85473699999999997,1.3533329999999999,0,0.85473699999999997,1.3533329999999999,0]
["Samoa",882,"WSM",7,7,0,12.77,12.77,0,1.344211,2.128333,0,1.344211,2.128333,0]
["San Marino",674,"SMR",0,0,0,0,0,0,0,0,0,0,0,0]
["Sao Tome and Principe",678,"STP",8,7,1,12.76,11.31,1.45,1.3431580000000001,1.885,0.24166699999999999,1.3431580000000001,1.885,0.24166699999999999]
["Saudi Arabia",682,"SAU",20,15,5,36.51,26.99,9.52,10,10,10,3.8431579999999999,4.4983329999999997,1.586667]
["Senegal",686,"SEN",26,18,8,44.68,30.61,14.07,4.7031580000000002,5.101667,2.3450000000000002,4.7031580000000002,5.101667,2.3450000000000002]
["Serbia",688,"SRB",13,11,2,22.27,18.63,3.64,2.344211,3.105,0.60666699999999996,2.344211,3.105,0.60666699999999996]
["Seychelles",690,"SYC",10,9,1,16.920000000000002,15.47,1.45,1.781053,2.5783330000000002,0.24166699999999999,1.781053,2.5783330000000002,0.24166699999999999]
["Sierra Leone",694,"SLE",13,13,0,21.8,21.8,0,2.294737,3.6333329999999999,0,2.294737,3.6333329999999999,0]
["Singapore",702,"SGP",17,17,0,29.2,29.2,0,3.0736840000000001,4.8666669999999996,0,3.0736840000000001,4.8666669999999996,0]
["Slovak Republic",703,"SVK",1,0,1,1.75,0,1.75,0.18421100000000001,0,0.29166700000000001,0.18421100000000001,0,0.29166700000000001]
["Slovenia",705,"SVN",2,2,0,3.45,3.45,0,0.36315799999999998,0.57499999999999996,0,0.36315799999999998,0.57499999999999996,0]
["Solomon Islands","090","SLB",16,15,1,27.81,26.06,1.75,2.927368,4.3433330000000003,0.29166700000000001,2.927368,4.3433330000000003,0.29166700000000001]
["Somalia",706,"SOM",8,0,8,14.79,0,14.79,1.5568420000000001,0,2.4649999999999999,1.5568420000000001,0,2.4649999999999999]
["South Africa",710,"ZAF",13,5,8,23.43,8.6999999999999993,14.73,2.466316,1.45,2.4550000000000001,2.466316,1.45,2.4550000000000001]
["South Sudan",728,"SSD",15,14,1,25.59,23.84,1.75,2.6936840000000002,3.9733329999999998,0.29166700000000001,2.6936840000000002,3.9733329999999998,0.29166700000000001]
["Spain",724,"ESP",18,4,14,31.11,6.59,24.52,3.274737,1.098333,4.0866670000000003,3.274737,1.098333,4.0866670000000003]
["Sri Lanka",144,"LKA",23,14,9,40.18,24.1,16.079999999999998,4.2294739999999997,4.016667,2.68,4.2294739999999997,4.016667,2.68]
["Sudan",729,"SDN",27,22,5,48.14,38.979999999999997,9.16,10,10,10,5.0673680000000001,6.4966670000000004,1.526667]
["Suriname",740,"SUR",3,0,3,5.21,0,5.21,0.54842100000000005,0,0.86833300000000002,0.54842100000000005,0,0.86833300000000002]
["Sweden",752,"SWE",3,2,1,5.0999999999999996,3.28,1.82,0.53684200000000004,0.54666700000000001,0.30333300000000002,0.53684200000000004,0.54666700000000001,0.30333300000000002]
["Switzerland",756,"CHE",7,6,1,12.03,10.210000000000001,1.82,1.266316,1.701667,0.30333300000000002,1.266316,1.701667,0.30333300000000002]
["Syrian Arab Republic",760,"SYR",18,14,4,31.8,24.37,7.43,10,10,10,3.3473679999999999,4.0616669999999999,1.2383329999999999]
["Tajikistan",762,"TJK",5,3,2,8.6199999999999992,5.05,3.57,0.90736799999999995,0.84166700000000005,0.59499999999999997,0.90736799999999995,0.84166700000000005,0.59499999999999997]
["Thailand",764,"THA",35,23,12,62.03,40.11,21.92,6.5294740000000004,6.6849999999999996,3.6533329999999999,6.5294740000000004,6.6849999999999996,3.6533329999999999]
["Timor-Leste",626,"TLS",4,3,1,6.66,4.84,1.82,0.70105300000000004,0.80666700000000002,0.30333300000000002,0.70105300000000004,0.80666700000000002,0.30333300000000002]
["Togo",768,"TGO",4,4,0,6.92,6.92,0,0.72842099999999999,1.1533329999999999,0,0.72842099999999999,1.1533329999999999,0]
["Tonga","776","TON","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"]
["Trinidad and Tobago",780,"TTO",17,16,1,29.29,27.65,1.64,3.0831580000000001,4.608333,0.27333299999999999,3.0831580000000001,4.608333,0.27333299999999999]
["Tunisia",788,"TUN",17,11,6,29.73,19.09,10.64,3.1294740000000001,3.181667,1.773333,3.1294740000000001,3.181667,1.773333]
["Turkey",792,"TUR",30,20,10,51.18,33.54,17.64,5.3873680000000004,5.59,2.94,5.3873680000000004,5.59,2.94]
["Turkmenistan",795,"TKM",12,9,3,21.47,15.72,5.75,10,10,10,2.2599999999999998,2.62,0.95833299999999999]
["Tuvalu",798,"TUV",10,9,1,16.93,15.48,1.45,1.7821050000000001,2.58,0.24166699999999999,1.7821050000000001,2.58,0.24166699999999999]
["Uganda",800,"UGA",16,11,5,27.73,19.18,8.5500000000000007,2.9189470000000002,3.1966670000000001,1.425,2.9189470000000002,3.1966670000000001,1.425]
["Ukraine",804,"UKR",20,8,12,35.229999999999997,14.13,21.1,3.708421,2.355,3.516667,3.708421,2.355,3.516667]
["United Arab Emirates",784,"ARE",30,25,5,53.25,43.91,9.34,10,10,10,5.6052629999999999,7.318333,1.556667]
["United Kingdom",826,"GBR",10,8,2,17.329999999999998,13.94,3.39,1.824211,2.3233329999999999,0.56499999999999995,1.824211,2.3233329999999999,0.56499999999999995]
["Tanzania",834,"TZA",25,19,6,43.59,32.520000000000003,11.07,4.5884210000000003,5.42,1.845,4.5884210000000003,5.42,1.845]
["United States",840,"USA",17,16,1,29.36,27.5,1.86,3.0905260000000001,4.5833329999999997,0.31,3.0905260000000001,4.5833329999999997,0.31]
["Uruguay",858,"URY",8,3,5,14.05,4.8899999999999997,9.16,1.478947,0.81499999999999995,1.526667,1.478947,0.81499999999999995,1.526667]
["Uzbekistan",860,"UZB",17,11,6,29.48,18.75,10.73,10,3.125,10,3.1031580000000001,3.125,1.788333]
["Vanuatu",548,"VUT",15,15,0,25.67,25.67,0,2.702105,4.2783329999999999,0,2.702105,4.2783329999999999,0]
["Venezuela, RB",862,"VEN",33,13,20,57.52,22.09,35.43,6.0547370000000003,3.681667,5.9050000000000002,6.0547370000000003,3.681667,5.9050000000000002]
["Vietnam",704,"VNM",24,20,4,42.33,34.76,7.57,10,10,10,4.4557890000000002,5.7933329999999996,1.2616670000000001]
["Yemen, Rep.",887,"YEM",11,9,2,19.14,15.62,3.52,2.0147370000000002,2.6033330000000001,0.58666700000000005,2.0147370000000002,2.6033330000000001,0.58666700000000005]
["Zambia",894,"ZMB",23,21,2,39.94,36.369999999999997,3.57,4.2042109999999999,6.0616669999999999,0.59499999999999997,4.2042109999999999,6.0616669999999999,0.59499999999999997]
["Zimbabwe",716,"ZWE",39,23,16,67.77,39.369999999999997,28.4,7.1336839999999997,6.5616669999999999,4.733333,7.1336839999999997,6.5616669999999999,4.733333]
[]
["*We do not recommend the use of scores for the countries shaded with grey (also listed on sheet \"Countries to be dropped\") for reasons noted on pp. 11-12 of the Method Paper, available at: "]
["http://labour-rights-indicators.la.psu.edu/docs/Method%20Paper.pdf "]
["** Given that Montenegro and Serbia did not exist as independent countries until 2006, we apply the LR indicator values calculated for Yugoslavia for 2000 and 2005."]
[]
["Center for Global Workers’ Rights. 2020. Labour Rights Indicators. Retrieved from http://labour-rights-indicators.la.psu.edu/ 14/04/2020"]

{"sheet":"L_Source_YouthMinWage","index":49,"n_rows":47,"n_cols":10,"rows_kept":47,"cut":false,"hidden":false,"merged":[]}
["Youth Minimum Wage Discount Calculation"]
[]
[]
[]
["Austria",18,1000,{"$f":"823/5","v":164.6},null,"Need to check Eurofound study/Sorbonne and identify actual minimum wage and youth wage…."]
[null,19,1100,{"$f":"823/5","v":164.6}]
[null,20,1200,{"$f":"1265*1/5","v":253}]
[null,"Total",null,13330]
[null,"ADULT MW",1500,{"$f":"D8-D5-D6-D7","v":12747.8},{"$f":"D9/D8","v":0.95632408102025501}]
[null,"FORMULA",null,{"$f":"((C5*D5)+(C6*D6)+(C7*D7)+(C9*D9))/D8","v":1483.19279819955}]
[null,null,null,null,null,"2015 mw",2016,2017,2018,2019]
["Belgium",18,1494.669693758339,{"$f":"1/5*67","v":13.4},null,1387,{"$f":"F12*(1+(G$19/100))","v":1387},{"$f":"G12*(1+(H$19/100))","v":1387},1387,1387]
[null,19,1534.5419206286049,{"$f":"1/5*67","v":13.4},null,1424,{"$f":"F13*(1+(G$19/100))","v":1424},1424,1424,1424]
[null,20,1552.8615924338624,{"$f":"1/5*320","v":64},null,1441,1441,1441,1441,1441]
[null,"TOTAL",null,5126,null,"cpi",1.77,2.2200000000000002,2.31,1.25]
[null,"ADULT MW",1594,{"$f":"D15-D12-D13-D14","v":5035.2000000000007},{"$f":"D16/D15","v":0.98228638314475236}]
[null,"FORMULA",null,{"$f":"((C12*D12)+(C13*D13)+(C14*D14)+(C16*D16))/D15","v":1593.0712792720549}]
[]
[]
[null,null,"2017 and 2018",null,null,2019]
["Greece","18-24",{"$f":"510.95/12*14","v":596.10833333333335},{"$f":"((2/5*27)+231)","v":241.8},{"$f":"D21/D22","v":5.179948586118252E-2},{"$f":"((C21*1)+(758.33*11))/12","v":744.81152777777788},null,"Note 14 monthly salaries instead of 12 per year"]
[null,"TOTAL",null,4668]
[null,"ADULT MW",{"$f":"586/12*14","v":683.66666666666674},{"$f":"D22-D21","v":4426.2},{"$f":"D23/D22","v":0.94820051413881745},{"$f":"((C23*1)+(758.33*11))/12","v":752.10805555555555}]
[null,"FORMULA",null,{"$f":"((C23*4426)+(C21*242))/4668","v":679.12743858897466},null,{"$f":"((F23*4426)+(F21*242))/4668","v":751.72978654908127}]
[]
["Kosovo","15-24",130,45]
[null,"25-34",130,92]
[null,"TOTAL",null,363]
[null,"ADULT MW",170,{"$f":"D28-D26-D27","v":226},{"$f":"D29/D28","v":0.62258953168044073}]
[null,"FORMULA",null,{"$f":"((C26*D26)+(C27*D27)+(C29*D29))/D28","v":154.90358126721762}]
[]
[null,"https://askdata.rks-gov.net/PXWeb/pxweb/en/askdata/askdata__Labour%20market__02%20Annual%20labour%20market__Pun%C3%ABsimi/lfs01.px/?rxid=c3e44c2e-1aff-4e4a-b55b-2ca64a485a50"]
[null,null,2019]
["Neths",18,{"$f":"((767.5*6)+(817.8*6))/12","v":792.65},{"$f":"1/5*643","v":128.6}]
[null,19,{"$f":"((888.7*6)+(981.35*6))/12","v":935.02500000000009},{"$f":"1/5*643","v":128.6}]
[null,20,{"$f":"((1131.05*6)+(1308.5*6))/12","v":1219.7749999999999},{"$f":"1/5*762","v":152.4}]
[null,21,{"$f":"((1373.45*6)+(1635.6*6))/12","v":1504.5249999999999},{"$f":"1/5*762","v":152.4}]
[null,"TOTAL",null,9150]
[null,"ADULT MW",1626,{"$f":"D38-D34-D35-D36-D37","v":8588},{"$f":"D39/D38","v":0.93857923497267759}]
[null,"FORMULA",null,{"$f":"((C34*D34)+(C35*D35)+(C36*D36)+(C37*D37)+(C39*D39))/D38","v":1595.7869207650272}]
[]
[null,null,"Wage 2019 CY","Workers","%LF"]
["UK","18-20",{"$f":"(((5.9*40*52/12)*3/12)+((6.15*40*52/12)*9/12))","v":1055.1666666666667},{"$f":"(2/5*1315)+(1/5*3097)","v":1145.4000000000001},null,"Seems to have been some confusion with JL over working hours"]
[null,"21-24",{"$f":"(((7.38*40*52/12)*3/12)+((7.7*40*52/12)*9/12))","v":1320.8},{"$f":"4/5*3097","v":2477.6000000000004},null,"Please adjust MWs for 2017 and 2018 (without youth W)"]
[null,"TOTAL",null,34890,null,2017,1287,2018,1343]
[null,"ADULT MW CY",1407,{"$f":"D45-D43-D44","v":31267},{"$f":"D46/D45","v":0.8961593579822299}]
[null,"FORMULA",null,{"$f":"((C43*D43)+(C44*D44)+(C46*D46))/D45","v":1389.3284889653196}]

{"sheet":"L_Source_Laws","index":50,"n_rows":187,"n_cols":5,"rows_kept":187,"cut":false,"hidden":false,"merged":[]}
["Laws on Rape & Sexual Harassment at Work"]
[]
["country","laws on rape","laws on sexual harassment at work",null,"check if update available since 2014"]
["Afghanistan",0.66999999999999993,1,null,"research primary source or state dept "]
["Albania",0.66999999999999993,1]
["Algeria",0.33999999999999997,1]
["Angola",1,0]
["Antigua and Barbuda",0.66999999999999993,0]
["Argentina",1,1]
["Armenia",1,0]
["Australia",1,1]
["Austria",1,1]
["Azerbaijan",0.66999999999999993,1]
["Bahamas, The",0.33999999999999997,0]
["Bahrain",0.33999999999999997,1]
["Bangladesh",0.33999999999999997,1]
["Barbados",0.66999999999999993,1]
["Belarus",0.66999999999999993,0]
["Belgium",1,1]
["Belize",1,1]
["Benin",0.66999999999999993,1]
["Bhutan",0.66999999999999993,1]
["Bolivia",1,1]
["Bosnia & Herzegovina",{"$error":"#N/A"},{"$error":"#N/A"}]
["Botswana",0.66999999999999993,1]
["Brazil",1,1]
["Brunei",{"$error":"#N/A"},{"$error":"#N/A"}]
["Bulgaria",0.33999999999999997,1]
["Burkina Faso",0.66999999999999993,1]
["Burundi",1,1]
["Cabo Verde",1,1]
["Cambodia",0.66999999999999993,1]
["Cameroon",0.33999999999999997,1]
["Canada",1,1]
["Central African Republic",0.33999999999999997,1]
["Chad",0.33999999999999997,1]
["Chile",1,1]
["China",0.66999999999999993,1]
["Colombia",1,1]
["Congo, Dem. Rep.",0.66999999999999993,1]
["Congo, Rep.",1,1]
["Costa Rica",1,1]
["Cote d'Ivoire",0.66999999999999993,1]
["Croatia",1,1]
["Cuba",1,1]
["Cyprus",1,1]
["Czech Republic",1,1]
["Denmark",1,1]
["Djibouti",0.33999999999999997,0]
["Dominican Republic",1,0.66999999999999993]
["Ecuador",1,1]
["Egypt, Arab Rep.",0.66999999999999993,1]
["El Salvador",0.66999999999999993,1]
["Equatorial Guinea",{"$error":"#N/A"},{"$error":"#N/A"}]
["Eritrea",0.33999999999999997,0]
["Estonia",1,1]
["Eswatini",1,1]
["Ethiopia",0.66999999999999993,0]
["Fiji",1,1]
["Finland",1,1]
["France",1,1]
["Gabon",0.66999999999999993,0]
["Gambia, The",0.66999999999999993,1]
["Georgia",1,1]
["Germany",1,1]
["Ghana",0.66999999999999993,1]
["Greece",1,1]
["Guatemala",1,0]
["Guinea",0.66999999999999993,1]
["Guinea-Bissau",1,0]
["Guyana",1,1]
["Haiti",0.66999999999999993,0]
["Honduras",1,1]
["Hong Kong SAR, China",1,1]
["Hungary",0.66999999999999993,1]
["Iceland",1,1]
["India",0.66999999999999993,1]
["Indonesia",0.66999999999999993,1]
["Iran, Islamic Rep.",0.33999999999999997,1]
["Iraq",0.33999999999999997,1]
["Ireland",1,1]
["Israel",1,1]
["Italy",1,1]
["Jamaica",0.66999999999999993,0.5]
["Japan",0.66999999999999993,1]
["Jordan",0.66999999999999993,1]
["Kazakhstan",0.66999999999999993,0]
["Kenya",0.66999999999999993,1]
["Kiribati",1,1]
["Korea, Rep.",0.66999999999999993,1]
["Kosovo",1,1]
["Kuwait",0,0]
["Kyrgyz Republic",0.66999999999999993,0]
["Lao PDR",0.66999999999999993,1]
["Latvia",0.66999999999999993,1]
["Lebanon",0.66999999999999993,1]
["Lesotho",1,1]
["Liberia",0.66999999999999993,0.5]
["Libya ",0.33999999999999997,1]
["Lithuania",0.66999999999999993,1]
["Luxembourg",1,1]
["North Macedonia",0.66999999999999993,1]
["Madagascar",0.66999999999999993,1]
["Malawi",0.66999999999999993,1]
["Malaysia",0.66999999999999993,1]
["Maldives",0.33999999999999997,1]
["Mali",0.66999999999999993,0]
["Malta",1,1]
["Mauritania",1,0]
["Mauritius",0.66999999999999993,1]
["Mexico",1,1]
["Micronesia",{"$error":"#N/A"},{"$error":"#N/A"}]
["Moldova",0.66999999999999993,1]
["Monaco",{"$error":"#N/A"},{"$error":"#N/A"}]
["Mongolia",0.66999999999999993,1]
["Morocco",0.66999999999999993,1]
["Mozambique",1,1]
["Myanmar",0.66999999999999993,1]
["Namibia",1,1]
["Nepal",1,1]
["Netherlands",1,1]
["New Zealand",1,1]
["Nicaragua",0.66999999999999993,1]
["Niger",0.66999999999999993,1]
["Nigeria",0.66999999999999993,0]
["Norway",1,1]
["Occupied Palestinian Territory",1,0]
["Oman",0.66999999999999993,0]
["Pakistan",0.33999999999999997,1]
["Panama",1,1]
["Papua New Guinea",0.33999999999999997,0]
["Paraguay",1,1]
["Peru",1,1]
["Philippines",0.66999999999999993,1]
["Poland",1,1]
["Portugal",1,1]
["Qatar",0.66999999999999993,1]
["Romania",0.66999999999999993,1]
["Russian Federation",0.66999999999999993,1]
["Rwanda",1,1]
["Samoa",0.66999999999999993,0]
["Sao Tome and Principe",1,1]
["Saudi Arabia",0.33999999999999997,1]
["Senegal",0.66999999999999993,1]
["Serbia",0.66999999999999993,1]
["Seychelles",1,1]
["Sierra Leone",1,1]
["Singapore",0.66999999999999993,1]
["Slovak Republic",1,1]
["Slovenia",0.66999999999999993,1]
["Solomon Islands",1,0]
["Somalia",{"$error":"#N/A"},{"$error":"#N/A"}]
["South Africa",1,1]
["South Sudan",0.33999999999999997,1]
["Spain",1,1]
["Sri Lanka",0.66999999999999993,1]
["St. Lucia",0.66999999999999993,0]
["St. Vincent and the Grenadines",1,0]
["Sudan",0.66999999999999993,0]
["Suriname",1,0]
["Sweden",1,1]
["Switzerland",1,1]
["Syrian Arab Republic",0.66999999999999993,1]
["Tajikistan",0.66999999999999993,0]
["Tanzania",1,1]
["Thailand",0.66999999999999993,1]
["Timor-Leste",1,1]
["Togo",1,1]
["Tonga",1,0]
["Trinidad and Tobago",1,0]
["Tunisia",1,1]
["Turkey",1,1]
["Turkmenistan",{"$error":"#N/A"},{"$error":"#N/A"}]
["Uganda",0.66999999999999993,1]
["Ukraine",0.66999999999999993,1]
["United Arab Emirates",0.66999999999999993,1]
["United Kingdom",1,1]
["United States",1,1]
["Uruguay",0.66999999999999993,1]
["Uzbekistan",0.66999999999999993,1]
["Vanuatu",0.66999999999999993,0]
["Venezuela, RB",0.66999999999999993,1]
["Vietnam",0.66999999999999993,1]
["Yemen, Rep.",0.33999999999999997,0]
["Zambia",0.66999999999999993,1]
["Zimbabwe",0.66999999999999993,1]
[null,{"$f":"SUM(B4:B186)","v":{"$error":"#N/A"}},{"$f":"SUM(C4:C186)","v":{"$error":"#N/A"}}]

{"sheet":"L_Source_ILO_Informal_Vul","index":51,"n_rows":1517,"n_cols":14,"rows_kept":1517,"cut":false,"hidden":false,"merged":[]}
["Status in employment -- ILO modelled estimates, Nov. 2016"]
["http://www.ilo.org/ilostat/faces/oracle/webcenter/portalapp/pagehierarchy/Page3.jspx?MBI_ID=32"]
["Downloaded from ILOSTAT 10/05/2020"]
[]
["ref_area.label","indicator.label","source.label","sex.label","classif1.label","time","obs_value","obs_status.label",null,null,"Sum of obs_value","Column Labels"]
["Afghanistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AFG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Row Labels","Status in employment (ICSE-93): 3. Own-account workers","Status in employment (ICSE-93): 5. Contributing family workers","Grand Total"]
["Afghanistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AFG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,17.672000000000001,null,null,null,"Afghanistan",56.33,23.396000000000001,79.725999999999999]
["Afghanistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AFG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.6019999999999999,null,null,null,"Albania",25.486999999999998,27.364999999999998,52.851999999999997]
["Afghanistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AFG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,56.33,null,null,null,"Algeria",25.13,1.863,26.992999999999999]
["Afghanistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AFG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,23.396000000000001,null,null,null,"Angola",57.165999999999997,8.8290000000000006,65.995000000000005]
["Afghanistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AFG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Argentina",21.262,0.54300000000000004,21.805]
["Afghanistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AFG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,17.672000000000001,null,null,null,"Armenia",36.515999999999998,2.1520000000000001,38.667999999999999]
["Afghanistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AFG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,82.328000000000003,null,null,null,"Australia",10.452,0.182,10.634]
["Angola","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Austria",6.1950000000000003,1.19,7.3849999999999998]
["Angola","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,29.742999999999999,null,null,null,"Azerbaijan",21.698,33.533000000000001,55.231000000000002]
["Angola","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.2610000000000001,null,null,null,"Bahamas, The",13.753,0.313,14.066000000000001]
["Angola","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,57.165999999999997,null,null,null,"Bahrain",0.58799999999999997,0.49299999999999999,1.081]
["Angola","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,8.8290000000000006,null,null,null,"Bangladesh",44.19,11.06,55.25]
["Angola","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Barbados",15.763,7.8E-2,15.840999999999999]
["Angola","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,29.742999999999999,null,null,null,"Belarus",3.254,3.3000000000000002E-2,3.2869999999999999]
["Angola","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,70.257000000000005,null,null,null,"Belgium",9.3699999999999992,0.81899999999999995,10.189]
["Albania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ALB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Belize",26.388000000000002,3.234,29.622]
["Albania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ALB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,44.631,null,null,null,"Benin",72.382999999999996,15.349,87.731999999999999]
["Albania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ALB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.5169999999999999,null,null,null,"Bhutan",39.161000000000001,32.317999999999998,71.478999999999999]
["Albania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ALB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,25.486999999999998,null,null,null,"Bolivia",45.08,18.143999999999998,63.223999999999997]
["Albania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ALB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,27.364999999999998,null,null,null,"Bosnia and Herzegovina",12.565,3.589,16.154]
["Albania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ALB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Botswana",21.992000000000001,3.92,25.911999999999999]
["Albania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ALB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,44.631,null,null,null,"Brazil",25.611999999999998,2.2959999999999998,27.907999999999998]
["Albania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ALB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,55.369,null,null,null,"Brunei Darussalam",5.69,0.34499999999999997,6.0350000000000001]
["United Arab Emirates","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Bulgaria",7.0880000000000001,0.70599999999999996,7.7940000000000005]
["United Arab Emirates","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,96.054000000000002,null,null,null,"Burkina Faso",46.515000000000001,39.904000000000003,86.419000000000011]
["United Arab Emirates","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.0139999999999998,null,null,null,"Burundi",64.947999999999993,29.632999999999999,94.580999999999989]
["United Arab Emirates","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,0.48799999999999999,null,null,null,"Cabo Verde",25.045000000000002,10.122999999999999,35.167999999999999]
["United Arab Emirates","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.44400000000000001,null,null,null,"Cambodia",45.698,4.5810000000000004,50.279000000000003]
["United Arab Emirates","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Cameroon",59.795999999999999,13.766,73.561999999999998]
["United Arab Emirates","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,96.054000000000002,null,null,null,"Canada",10.567,0.124,10.691000000000001]
["United Arab Emirates","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,3.9460000000000002,null,null,null,"Central African Republic",54.360999999999997,37.018000000000001,91.378999999999991]
["Argentina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Chad",65.585999999999999,27.437999999999999,93.024000000000001]
["Argentina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,74.287000000000006,null,null,null,"Channel Islands",9.0909999999999993,0.95299999999999996,10.043999999999999]
["Argentina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.907,null,null,null,"Chile",21.614000000000001,1.08,22.694000000000003]
["Argentina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,21.262,null,null,null,"China",31.972999999999999,13.404999999999999,45.378]
["Argentina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.54300000000000004,null,null,null,"Colombia",43.639000000000003,3.4180000000000001,47.057000000000002]
["Argentina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Comoros",50.828000000000003,12.882,63.71]
["Argentina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,74.287000000000006,null,null,null,"Congo, Dem. Rep.",60.863999999999997,18.809999999999999,79.673999999999992]
["Argentina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,25.713000000000001,null,null,null,"Congo, Rep.",70.623000000000005,5.3550000000000004,75.978000000000009]
["Armenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Costa Rica",19.364000000000001,1.6919999999999999,21.056000000000001]
["Armenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,60.107999999999997,null,null,null,"Cote d'Ivoire",58.960999999999999,12.225,71.185999999999993]
["Armenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.224,null,null,null,"Croatia",6.0430000000000001,1.228,7.2709999999999999]
["Armenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,36.515999999999998,null,null,null,"Cuba",21.071000000000002,2.0270000000000001,23.098000000000003]
["Armenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.1520000000000001,null,null,null,"Cyprus",10.409000000000001,0.65100000000000002,11.06]
["Armenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Czech Republic",13.215,0.46600000000000003,13.680999999999999]
["Armenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,60.107999999999997,null,null,null,"Denmark",4.5119999999999996,0.38300000000000001,4.8949999999999996]
["Armenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ARM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,39.892000000000003,null,null,null,"Djibouti",36.591999999999999,8.1489999999999991,44.741]
["Australia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Dominican Republic",38.631999999999998,1.768,40.4]
["Australia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,83.613,null,null,null,"Ecuador",34.344000000000001,12.384,46.728000000000002]
["Australia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.7530000000000001,null,null,null,"Egypt, Arab Rep.",12.782,7.9390000000000001,20.721]
["Australia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,10.452,null,null,null,"El Salvador",28.398,5.7930000000000001,34.191000000000003]
["Australia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.182,null,null,null,"Equatorial Guinea",69.275999999999996,8.0139999999999993,77.289999999999992]
["Australia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Eritrea",48.609000000000002,37.774000000000001,86.38300000000001]
["Australia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,83.613,null,null,null,"Estonia",5.9610000000000003,0.188,6.149]
["Australia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,16.387,null,null,null,"Eswatini",30.077999999999999,2.5590000000000002,32.637]
["Austria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Ethiopia",47.774999999999999,38.195999999999998,85.971000000000004]
["Austria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,88.07,null,null,null,"Fiji",23.853999999999999,19.286999999999999,43.140999999999998]
["Austria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.5449999999999999,null,null,null,"Finland",9.1660000000000004,0.41899999999999998,9.5850000000000009]
["Austria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,6.1950000000000003,null,null,null,"France",7.1619999999999999,0.26600000000000001,7.4279999999999999]
["Austria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.19,null,null,null,"French Polynesia",12.138,0.46200000000000002,12.6]
["Austria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Gabon",30.393000000000001,1.071,31.464000000000002]
["Austria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,88.07,null,null,null,"Gambia, The",60.347999999999999,11.702999999999999,72.051000000000002]
["Austria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,11.93,null,null,null,"Georgia",29.667999999999999,19.416,49.084000000000003]
["Azerbaijan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Germany",5.3010000000000002,0.31900000000000001,5.62]
["Azerbaijan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,32.003999999999998,null,null,null,"Ghana",59.793999999999997,8.907,68.700999999999993]
["Azerbaijan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,12.765000000000001,null,null,null,"Greece",22.228000000000002,3.5680000000000001,25.796000000000003]
["Azerbaijan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,21.698,null,null,null,"Guam",8.5,0.67200000000000004,9.1720000000000006]
["Azerbaijan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,33.533000000000001,null,null,null,"Guatemala",28.12,9.423,37.542999999999999]
["Azerbaijan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Guinea",59.865000000000002,29.509,89.373999999999995]
["Azerbaijan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,32.003999999999998,null,null,null,"Guinea-Bissau",52.155000000000001,23.585000000000001,75.740000000000009]
["Azerbaijan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","AZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,67.995999999999995,null,null,null,"Guyana",21.654,3.859,25.512999999999998]
["Burundi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BDI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Haiti",50.963999999999999,21.305,72.269000000000005]
["Burundi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BDI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,5.3460000000000001,null,null,null,"Honduras",32.015000000000001,9.375,41.39]
["Burundi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BDI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,7.1999999999999995E-2,null,null,null,"Hungary",5.8070000000000004,0.217,6.024]
["Burundi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BDI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,64.947999999999993,null,null,null,"Iceland",7.8179999999999996,0.28999999999999998,8.1079999999999988]
["Burundi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BDI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,29.632999999999999,null,null,null,"India",62.148000000000003,12.122,74.27000000000001]
["Burundi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BDI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Indonesia",35.042000000000002,12.853,47.895000000000003]
["Burundi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BDI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,5.3460000000000001,null,null,null,"Iran, Islamic Republic of",36.237000000000002,5.1879999999999997,41.425000000000004]
["Burundi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BDI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,94.653999999999996,null,null,null,"Iraq",15.506,4.2869999999999999,19.792999999999999]
["Belgium","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Ireland",10.098000000000001,0.51200000000000001,10.610000000000001]
["Belgium","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,86.036000000000001,null,null,null,"Israel",8.2309999999999999,3.6999999999999998E-2,8.2680000000000007]
["Belgium","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.7749999999999999,null,null,null,"Italy",15.691000000000001,1.175,16.866]
["Belgium","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,9.3699999999999992,null,null,null,"Jamaica",34.847000000000001,0.92600000000000005,35.773000000000003]
["Belgium","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.81899999999999995,null,null,null,"Japan",6.0990000000000002,2.2080000000000002,8.3070000000000004]
["Belgium","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Jordan",8.7469999999999999,0.45500000000000002,9.202]
["Belgium","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,86.036000000000001,null,null,null,"Kazakhstan",23.04,0.114,23.154]
["Belgium","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,13.964,null,null,null,"Kenya",43.915999999999997,7.3840000000000003,51.3]
["Benin","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Korea, Democratic People's Republic of",37.603999999999999,50.209000000000003,87.813000000000002]
["Benin","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,10.959,null,null,null,"Korea, Rep.",15.105,3.9359999999999999,19.041]
["Benin","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.3089999999999999,null,null,null,"Kuwait",1.069,1.4E-2,1.083]
["Benin","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,72.382999999999996,null,null,null,"Kyrgyz Republic",27.036000000000001,6.7530000000000001,33.789000000000001]
["Benin","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,15.349,null,null,null,"Lao PDR",53.061,26.992999999999999,80.054000000000002]
["Benin","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Latvia",6.673,0.47,7.1429999999999998]
["Benin","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,10.959,null,null,null,"Lebanon",23.689,3.1930000000000001,26.882000000000001]
["Benin","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,89.040999999999997,null,null,null,"Lesotho",13.038,3.2719999999999998,16.309999999999999]
["Burkina Faso","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BFA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Liberia",68.763999999999996,8.4339999999999993,77.197999999999993]
["Burkina Faso","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BFA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,12.903,null,null,null,"Libya",5.2880000000000003,0.435,5.7229999999999999]
["Burkina Faso","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BFA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.67700000000000005,null,null,null,"Lithuania",8.4540000000000006,0.69799999999999995,9.152000000000001]
["Burkina Faso","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BFA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,46.515000000000001,null,null,null,"Luxembourg",4.7910000000000004,0.82399999999999995,5.6150000000000002]
["Burkina Faso","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BFA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,39.904000000000003,null,null,null,"Macau, China",2.9169999999999998,0.17,3.0869999999999997]
["Burkina Faso","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BFA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Madagascar",44.939,40.137,85.075999999999993]
["Burkina Faso","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BFA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,12.903,null,null,null,"Malawi",52.701999999999998,6.4870000000000001,59.189]
["Burkina Faso","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BFA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,87.096999999999994,null,null,null,"Malaysia",17.724,4.0650000000000004,21.789000000000001]
["Bangladesh","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Maldives",16.648,2.819,19.466999999999999]
["Bangladesh","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,40.363999999999997,null,null,null,"Mali",55.225000000000001,25.760999999999999,80.986000000000004]
["Bangladesh","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.3849999999999998,null,null,null,"Malta",9.7669999999999995,4.2000000000000003E-2,9.8089999999999993]
["Bangladesh","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,44.19,null,null,null,"Mauritania",43.97,8.5329999999999995,52.503]
["Bangladesh","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,11.06,null,null,null,"Mauritius",14.111000000000001,2.06,16.170999999999999]
["Bangladesh","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Mexico",22.481999999999999,4.45,26.931999999999999]
["Bangladesh","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,40.363999999999997,null,null,null,"Moldova",33.427999999999997,3.919,37.346999999999994]
["Bangladesh","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,59.636000000000003,null,null,null,"Mongolia",45.801000000000002,2.6850000000000001,48.486000000000004]
["Bulgaria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Montenegro",10.762,2.4950000000000001,13.257000000000001]
["Bulgaria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,88.48,null,null,null,"Morocco",28.686,18.852,47.537999999999997]
["Bulgaria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.726,null,null,null,"Mozambique",62.188000000000002,20.957999999999998,83.146000000000001]
["Bulgaria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,7.0880000000000001,null,null,null,"Myanmar",35.651000000000003,23.408000000000001,59.059000000000005]
["Bulgaria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.70599999999999996,null,null,null,"Namibia",26.577000000000002,4.4429999999999996,31.020000000000003]
["Bulgaria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Nepal",37.61,40.805,78.414999999999992]
["Bulgaria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,88.48,null,null,null,"Netherlands",12.327999999999999,0.32500000000000001,12.652999999999999]
["Bulgaria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BGR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,11.52,null,null,null,"New Caledonia",11.532999999999999,0.20599999999999999,11.738999999999999]
["Bahrain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"New Zealand",11.305999999999999,0.78100000000000003,12.087]
["Bahrain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,97.204999999999998,null,null,null,"Nicaragua",31.326000000000001,9.5440000000000005,40.870000000000005]
["Bahrain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.714,null,null,null,"Niger",59.908000000000001,33.768000000000001,93.676000000000002]
["Bahrain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,0.58799999999999997,null,null,null,"Nigeria",64.058000000000007,13.554,77.612000000000009]
["Bahrain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.49299999999999999,null,null,null,"North Macedonia",13.169,5.859,19.027999999999999]
["Bahrain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Norway",4.7880000000000003,0.11799999999999999,4.9060000000000006]
["Bahrain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,97.204999999999998,null,null,null,"Occupied Palestinian Territory",18.838999999999999,4.2300000000000004,23.068999999999999]
["Bahrain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,2.7949999999999999,null,null,null,"Oman",2.4569999999999999,0.17599999999999999,2.633]
["Bahamas, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Pakistan",35.81,19.672999999999998,55.483000000000004]
["Bahamas, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,85.921999999999997,null,null,null,"Panama",29.611999999999998,4.6059999999999999,34.217999999999996]
["Bahamas, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.2E-2,null,null,null,"Papua New Guinea",42.415999999999997,35.506,77.921999999999997]
["Bahamas, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,13.753,null,null,null,"Paraguay",30.210999999999999,7.2729999999999997,37.483999999999995]
["Bahamas, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.313,null,null,null,"Peru",37.21,13.208,50.417999999999999]
["Bahamas, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Philippines",26.946000000000002,5.7530000000000001,32.698999999999998]
["Bahamas, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,85.921999999999997,null,null,null,"Poland",13.782999999999999,2.2759999999999998,16.058999999999997]
["Bahamas, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BHS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,14.077999999999999,null,null,null,"Portugal",11.446,0.40200000000000002,11.847999999999999]
["Bosnia and Herzegovina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BIH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Puerto Rico",12.196999999999999,0.17299999999999999,12.37]
["Bosnia and Herzegovina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BIH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,78.914000000000001,null,null,null,"Qatar",0.13400000000000001,0.01,0.14400000000000002]
["Bosnia and Herzegovina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BIH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.9320000000000004,null,null,null,"Romania",16.216999999999999,7.5049999999999999,23.721999999999998]
["Bosnia and Herzegovina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BIH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,12.565,null,null,null,"Russian Federation",4.9470000000000001,0.40300000000000002,5.35]
["Bosnia and Herzegovina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BIH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.589,null,null,null,"Rwanda",39.481000000000002,28.515000000000001,67.996000000000009]
["Bosnia and Herzegovina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BIH - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Samoa",25.218,4.7649999999999997,29.983000000000001]
["Bosnia and Herzegovina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BIH - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,78.914000000000001,null,null,null,"Sao Tome and Principe",43.77,4.3440000000000003,48.114000000000004]
["Bosnia and Herzegovina","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BIH - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,21.085999999999999,null,null,null,"Saudi Arabia",2.988,2.8000000000000001E-2,3.016]
["Belarus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Senegal",42.222999999999999,22.405000000000001,64.628]
["Belarus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,95.828000000000003,null,null,null,"Serbia",18.966999999999999,5.33,24.296999999999997]
["Belarus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.88500000000000001,null,null,null,"Sierra Leone",79.813000000000002,6.3120000000000003,86.125]
["Belarus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,3.254,null,null,null,"Singapore",9.3079999999999998,0.35799999999999998,9.6660000000000004]
["Belarus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.3000000000000002E-2,null,null,null,"Slovak Republic",11.705,9.2999999999999999E-2,11.798]
["Belarus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Slovenia",8.5839999999999996,2.6120000000000001,11.196]
["Belarus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,95.828000000000003,null,null,null,"Solomon Islands",11.766,53.911000000000001,65.677000000000007]
["Belarus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,4.1719999999999997,null,null,null,"Somalia",48.552,38.692999999999998,87.245000000000005]
["Belize","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"South Africa",9.7850000000000001,0.51300000000000001,10.298]
["Belize","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,66.965000000000003,null,null,null,"South Sudan",45.701999999999998,39.152000000000001,84.853999999999999]
["Belize","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.4129999999999998,null,null,null,"Spain",10.619,0.36299999999999999,10.981999999999999]
["Belize","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,26.388000000000002,null,null,null,"Sri Lanka",31.239000000000001,7.7569999999999997,38.996000000000002]
["Belize","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.234,null,null,null,"St. Lucia",28.492999999999999,1.1040000000000001,29.596999999999998]
["Belize","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"St. Vincent and the Grenadines",18.466999999999999,1.3979999999999999,19.864999999999998]
["Belize","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,66.965000000000003,null,null,null,"Sudan",33.735999999999997,16.664999999999999,50.400999999999996]
["Belize","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BLZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,33.034999999999997,null,null,null,"Suriname",10.752000000000001,1.4419999999999999,12.194000000000001]
["Bolivia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BOL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Sweden",5.8609999999999998,0.20200000000000001,6.0629999999999997]
["Bolivia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BOL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,31.861000000000001,null,null,null,"Switzerland",7.0510000000000002,1.89,8.9410000000000007]
["Bolivia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BOL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.915,null,null,null,"Syrian Arab Republic",29.638000000000002,2.7919999999999998,32.43]
["Bolivia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BOL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,45.08,null,null,null,"Taiwan, China",11.474,4.891,16.365000000000002]
["Bolivia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BOL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,18.143999999999998,null,null,null,"Tajikistan",17.637,24.114999999999998,41.751999999999995]
["Bolivia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BOL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Tanzania",50.115000000000002,32.613,82.728000000000009]
["Bolivia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BOL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,31.861000000000001,null,null,null,"Thailand",31.904,16.568000000000001,48.472000000000001]
["Bolivia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BOL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,68.138999999999996,null,null,null,"Timor-Leste",42.933,24.722000000000001,67.655000000000001]
["Brazil","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Togo",54.441000000000003,26.47,80.911000000000001]
["Brazil","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,67.289000000000001,null,null,null,"Tonga",35.9,16.34,52.239999999999995]
["Brazil","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.8029999999999999,null,null,null,"Trinidad and Tobago",17.686,0.45400000000000001,18.14]
["Brazil","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,25.611999999999998,null,null,null,"Tunisia",16.978000000000002,2.9860000000000002,19.964000000000002]
["Brazil","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.2959999999999998,null,null,null,"Turkey",17.184999999999999,9.8580000000000005,27.042999999999999]
["Brazil","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Turkmenistan",21.375,3.8439999999999999,25.219000000000001]
["Brazil","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,67.289000000000001,null,null,null,"Uganda",59.845999999999997,15.393000000000001,75.239000000000004]
["Brazil","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,32.710999999999999,null,null,null,"Ukraine",14.612,0.24,14.852]
["Barbados","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"United Arab Emirates",0.48799999999999999,0.44400000000000001,0.93199999999999994]
["Barbados","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,83.31,null,null,null,"United Kingdom",12.657,0.34100000000000003,12.997999999999999]
["Barbados","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.84899999999999998,null,null,null,"United States",3.7770000000000001,0.06,3.8370000000000002]
["Barbados","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,15.763,null,null,null,"United States Virgin Islands",7.25,0.17699999999999999,7.4269999999999996]
["Barbados","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,7.8E-2,null,null,null,"Uruguay",23.559000000000001,0.76100000000000001,24.32]
["Barbados","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Uzbekistan",33.470999999999997,8.5060000000000002,41.976999999999997]
["Barbados","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,83.31,null,null,null,"Vanuatu",61.688000000000002,8.7289999999999992,70.417000000000002]
["Barbados","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,16.690000000000001,null,null,null,"Venezuela, RB",33.837000000000003,1.7729999999999999,35.610000000000007]
["Brunei Darussalam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100,null,null,null,"Vietnam",39.771000000000001,14.303000000000001,54.073999999999998]
["Brunei Darussalam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,91.153999999999996,null,null,null,"Western Sahara",23.689,8.5190000000000001,32.207999999999998]
["Brunei Darussalam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.8109999999999999,null,null,null,"Yemen, Rep.",32.82,12.807,45.627000000000002]
["Brunei Darussalam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,5.69,null,null,null,"Zambia",44.718000000000004,33.415999999999997,78.134]
["Brunei Darussalam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.34499999999999997,null,null,null,"Zimbabwe",55.247999999999998,9.4909999999999997,64.739000000000004]
["Brunei Darussalam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100,null,null,null,"Hong Kong SAR, China",5.4539999999999997,0.26300000000000001,5.7169999999999996]
["Brunei Darussalam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,91.153999999999996,null,null,null,"Grand Total",5237.4669999999978,1763.9870000000001,7001.4539999999952]
["Brunei Darussalam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,8.8460000000000001]
["Bhutan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BTN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Bhutan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BTN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,28.422999999999998]
["Bhutan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BTN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,9.7000000000000003E-2]
["Bhutan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BTN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,39.161000000000001]
["Bhutan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BTN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,32.317999999999998]
["Bhutan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BTN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Bhutan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BTN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,28.422999999999998]
["Bhutan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BTN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,71.576999999999998]
["Botswana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Botswana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,71.489000000000004]
["Botswana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.5990000000000002]
["Botswana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,21.992000000000001]
["Botswana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.92]
["Botswana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Botswana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,71.489000000000004]
["Botswana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","BWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,28.510999999999999]
["Central African Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Central African Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,7.4630000000000001]
["Central African Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.1579999999999999]
["Central African Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,54.360999999999997]
["Central African Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,37.018000000000001]
["Central African Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Central African Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,7.4630000000000001]
["Central African Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,92.537000000000006]
["Canada","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Canada","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,84.724999999999994]
["Canada","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.5839999999999996]
["Canada","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,10.567]
["Canada","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.124]
["Canada","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Canada","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,84.724999999999994]
["Canada","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,15.275]
["Channel Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Channel Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,85.367999999999995]
["Channel Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.5869999999999997]
["Channel Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,9.0909999999999993]
["Channel Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.95299999999999996]
["Channel Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Channel Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,85.367999999999995]
["Channel Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,14.632]
["Switzerland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Switzerland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,85.346000000000004]
["Switzerland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.7130000000000001]
["Switzerland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,7.0510000000000002]
["Switzerland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.89]
["Switzerland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Switzerland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,85.346000000000004]
["Switzerland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,14.654]
["Chile","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Chile","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,73.052000000000007]
["Chile","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.2539999999999996]
["Chile","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,21.614000000000001]
["Chile","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.08]
["Chile","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Chile","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,73.052000000000007]
["Chile","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,26.948]
["China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,53.252000000000002]
["China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.37]
["China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,31.972999999999999]
["China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,13.404999999999999]
["China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,53.252000000000002]
["China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CHN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,46.747999999999998]
["Cote d'Ivoire","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CIV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Cote d'Ivoire","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CIV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,27.251999999999999]
["Cote d'Ivoire","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CIV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.5620000000000001]
["Cote d'Ivoire","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CIV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,58.960999999999999]
["Cote d'Ivoire","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CIV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,12.225]
["Cote d'Ivoire","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CIV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Cote d'Ivoire","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CIV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,27.251999999999999]
["Cote d'Ivoire","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CIV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,72.748000000000005]
["Cameroon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Cameroon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,23.343]
["Cameroon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.0950000000000002]
["Cameroon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,59.795999999999999]
["Cameroon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,13.766]
["Cameroon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Cameroon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,23.343]
["Cameroon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,76.656999999999996]
["Congo, Dem. Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Congo, Dem. Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,18.323]
["Congo, Dem. Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.0030000000000001]
["Congo, Dem. Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,60.863999999999997]
["Congo, Dem. Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,18.809999999999999]
["Congo, Dem. Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Congo, Dem. Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,18.323]
["Congo, Dem. Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,81.677000000000007]
["Congo, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Congo, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,22.948]
["Congo, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.0740000000000001]
["Congo, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,70.623000000000005]
["Congo, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,5.3550000000000004]
["Congo, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Congo, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,22.948]
["Congo, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,77.052000000000007]
["Colombia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Colombia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,48.8]
["Colombia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.1429999999999998]
["Colombia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,43.639000000000003]
["Colombia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.4180000000000001]
["Colombia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Colombia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,48.8]
["Colombia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,51.2]
["Comoros","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Comoros","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,31.318999999999999]
["Comoros","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.9710000000000001]
["Comoros","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,50.828000000000003]
["Comoros","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,12.882]
["Comoros","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Comoros","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,31.318999999999999]
["Comoros","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","COM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,68.680999999999997]
["Cabo Verde","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CPV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Cabo Verde","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CPV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,61.124000000000002]
["Cabo Verde","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CPV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.7080000000000002]
["Cabo Verde","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CPV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,25.045000000000002]
["Cabo Verde","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CPV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,10.122999999999999]
["Cabo Verde","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CPV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Cabo Verde","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CPV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,61.124000000000002]
["Cabo Verde","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CPV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,38.875999999999998]
["Costa Rica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Costa Rica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,74.867999999999995]
["Costa Rica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.0759999999999996]
["Costa Rica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,19.364000000000001]
["Costa Rica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.6919999999999999]
["Costa Rica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Costa Rica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,74.867999999999995]
["Costa Rica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,25.132000000000001]
["Cuba","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CUB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Cuba","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CUB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,73.308000000000007]
["Cuba","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CUB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.5939999999999999]
["Cuba","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CUB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,21.071000000000002]
["Cuba","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CUB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.0270000000000001]
["Cuba","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CUB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Cuba","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CUB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,73.308000000000007]
["Cuba","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CUB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,26.692]
["Cyprus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CYP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Cyprus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CYP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,86.768000000000001]
["Cyprus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CYP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.1720000000000002]
["Cyprus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CYP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,10.409000000000001]
["Cyprus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CYP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.65100000000000002]
["Cyprus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CYP - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Cyprus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CYP - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,86.768000000000001]
["Cyprus","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CYP - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,13.231999999999999]
["Czech Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Czech Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,83.198999999999998]
["Czech Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.12]
["Czech Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,13.215]
["Czech Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.46600000000000003]
["Czech Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Czech Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,83.198999999999998]
["Czech Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","CZE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,16.800999999999998]
["Germany","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DEU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Germany","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DEU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,90.155000000000001]
["Germany","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DEU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.2249999999999996]
["Germany","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DEU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,5.3010000000000002]
["Germany","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DEU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.31900000000000001]
["Germany","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DEU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Germany","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DEU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,90.155000000000001]
["Germany","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DEU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,9.8450000000000006]
["Djibouti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Djibouti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,52.895000000000003]
["Djibouti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.3639999999999999]
["Djibouti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,36.591999999999999]
["Djibouti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,8.1489999999999991]
["Djibouti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Djibouti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,52.895000000000003]
["Djibouti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,47.104999999999997]
["Denmark","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DNK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Denmark","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DNK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,91.960999999999999]
["Denmark","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DNK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.1440000000000001]
["Denmark","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DNK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,4.5119999999999996]
["Denmark","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DNK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.38300000000000001]
["Denmark","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DNK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Denmark","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DNK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,91.960999999999999]
["Denmark","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DNK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,8.0389999999999997]
["Dominican Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Dominican Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,56.192]
["Dominican Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.4079999999999999]
["Dominican Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,38.631999999999998]
["Dominican Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.768]
["Dominican Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Dominican Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,56.192]
["Dominican Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,43.808]
["Algeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Algeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,68.388999999999996]
["Algeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.617]
["Algeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,25.13]
["Algeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.863]
["Algeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Algeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,68.388999999999996]
["Algeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","DZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,31.611000000000001]
["Ecuador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ECU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Ecuador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ECU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,50.268000000000001]
["Ecuador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ECU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.004]
["Ecuador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ECU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,34.344000000000001]
["Ecuador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ECU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,12.384]
["Ecuador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ECU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Ecuador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ECU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,50.268000000000001]
["Ecuador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ECU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,49.731999999999999]
["Egypt, Arab Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EGY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Egypt, Arab Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EGY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,68.745999999999995]
["Egypt, Arab Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EGY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,10.532999999999999]
["Egypt, Arab Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EGY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,12.782]
["Egypt, Arab Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EGY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,7.9390000000000001]
["Egypt, Arab Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EGY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Egypt, Arab Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EGY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,68.745999999999995]
["Egypt, Arab Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EGY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,31.254000000000001]
["Eritrea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ERI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Eritrea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ERI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,13.12]
["Eritrea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ERI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.497]
["Eritrea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ERI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,48.609000000000002]
["Eritrea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ERI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,37.774000000000001]
["Eritrea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ERI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Eritrea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ERI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,13.12]
["Eritrea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ERI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,86.88]
["Western Sahara","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Western Sahara","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,62.076000000000001]
["Western Sahara","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.7160000000000002]
["Western Sahara","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,23.689]
["Western Sahara","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,8.5190000000000001]
["Western Sahara","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESH - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Western Sahara","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESH - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,62.076000000000001]
["Western Sahara","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESH - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,37.923999999999999]
["Spain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Spain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,84.081999999999994]
["Spain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.9359999999999999]
["Spain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,10.619]
["Spain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.36299999999999999]
["Spain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESP - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Spain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESP - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,84.081999999999994]
["Spain","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ESP - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,15.917999999999999]
["Estonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EST - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Estonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EST - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,89.403000000000006]
["Estonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EST - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.4489999999999998]
["Estonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EST - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,5.9610000000000003]
["Estonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EST - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.188]
["Estonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EST - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Estonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EST - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,89.403000000000006]
["Estonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","EST - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,10.597]
["Ethiopia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ETH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Ethiopia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ETH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,13.464]
["Ethiopia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ETH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.56499999999999995]
["Ethiopia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ETH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,47.774999999999999]
["Ethiopia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ETH - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,38.195999999999998]
["Ethiopia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ETH - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Ethiopia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ETH - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,13.464]
["Ethiopia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ETH - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,86.536000000000001]
["Finland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Finland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,86.847999999999999]
["Finland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.5670000000000002]
["Finland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,9.1660000000000004]
["Finland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.41899999999999998]
["Finland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Finland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,86.847999999999999]
["Finland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,13.151999999999999]
["Fiji","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Fiji","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,55.694000000000003]
["Fiji","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.165]
["Fiji","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,23.853999999999999]
["Fiji","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,19.286999999999999]
["Fiji","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Fiji","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,55.694000000000003]
["Fiji","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FJI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,44.305999999999997]
["France","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["France","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,88.358000000000004]
["France","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.2149999999999999]
["France","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,7.1619999999999999]
["France","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.26600000000000001]
["France","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["France","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,88.358000000000004]
["France","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","FRA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,11.641999999999999]
["Gabon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GAB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Gabon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GAB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,66.156999999999996]
["Gabon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GAB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.379]
["Gabon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GAB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,30.393000000000001]
["Gabon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GAB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.071]
["Gabon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GAB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Gabon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GAB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,66.156999999999996]
["Gabon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GAB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,33.843000000000004]
["United Kingdom","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["United Kingdom","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,84.95]
["United Kingdom","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.052]
["United Kingdom","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,12.657]
["United Kingdom","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.34100000000000003]
["United Kingdom","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["United Kingdom","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,84.95]
["United Kingdom","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,15.05]
["Georgia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GEO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Georgia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GEO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,48.935000000000002]
["Georgia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GEO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.9810000000000001]
["Georgia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GEO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,29.667999999999999]
["Georgia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GEO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,19.416]
["Georgia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GEO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Georgia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GEO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,48.935000000000002]
["Georgia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GEO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,51.064999999999998]
["Ghana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Ghana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,25.645]
["Ghana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.6539999999999999]
["Ghana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,59.793999999999997]
["Ghana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,8.907]
["Ghana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Ghana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,25.645]
["Ghana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GHA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,74.355000000000004]
["Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,8.4949999999999992]
["Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.1309999999999998]
["Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,59.865000000000002]
["Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,29.509]
["Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,8.4949999999999992]
["Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GIN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,91.504999999999995]
["Gambia, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Gambia, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,26.456]
["Gambia, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.492]
["Gambia, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,60.347999999999999]
["Gambia, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,11.702999999999999]
["Gambia, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Gambia, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,26.456]
["Gambia, The","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,73.543999999999997]
["Guinea-Bissau","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Guinea-Bissau","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,22.866]
["Guinea-Bissau","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.3939999999999999]
["Guinea-Bissau","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,52.155000000000001]
["Guinea-Bissau","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,23.585000000000001]
["Guinea-Bissau","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Guinea-Bissau","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,22.866]
["Guinea-Bissau","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,77.134]
["Equatorial Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Equatorial Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,14.039]
["Equatorial Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,8.6709999999999994]
["Equatorial Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,69.275999999999996]
["Equatorial Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,8.0139999999999993]
["Equatorial Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Equatorial Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,14.039]
["Equatorial Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GNQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,85.960999999999999]
["Greece","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GRC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Greece","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GRC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,66.626000000000005]
["Greece","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GRC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,7.577]
["Greece","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GRC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,22.228000000000002]
["Greece","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GRC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.5680000000000001]
["Greece","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GRC - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Greece","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GRC - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,66.626000000000005]
["Greece","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GRC - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,33.374000000000002]
["Guatemala","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GTM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Guatemala","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GTM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,59.658000000000001]
["Guatemala","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GTM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.7989999999999999]
["Guatemala","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GTM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,28.12]
["Guatemala","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GTM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,9.423]
["Guatemala","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GTM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Guatemala","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GTM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,59.658000000000001]
["Guatemala","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GTM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,40.341999999999999]
["Guam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Guam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,87.525000000000006]
["Guam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.302]
["Guam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,8.5]
["Guam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.67200000000000004]
["Guam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Guam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,87.525000000000006]
["Guam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,12.475]
["Guyana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Guyana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,67.543999999999997]
["Guyana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,6.9429999999999996]
["Guyana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,21.654]
["Guyana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.859]
["Guyana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Guyana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,67.543999999999997]
["Guyana","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","GUY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,32.456000000000003]
["Hong Kong SAR, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HKG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Hong Kong SAR, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HKG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,91.552999999999997]
["Hong Kong SAR, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HKG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.73]
["Hong Kong SAR, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HKG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,5.4539999999999997]
["Hong Kong SAR, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HKG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.26300000000000001]
["Hong Kong SAR, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HKG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Hong Kong SAR, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HKG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,91.552999999999997]
["Hong Kong SAR, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HKG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,8.4469999999999992]
["Honduras","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HND - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Honduras","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HND - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,48.677]
["Honduras","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HND - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,9.9329999999999998]
["Honduras","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HND - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,32.015000000000001]
["Honduras","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HND - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,9.375]
["Honduras","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HND - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Honduras","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HND - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,48.677]
["Honduras","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HND - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,51.323]
["Croatia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HRV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Croatia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HRV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,88.004000000000005]
["Croatia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HRV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.7249999999999996]
["Croatia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HRV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,6.0430000000000001]
["Croatia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HRV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.228]
["Croatia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HRV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Croatia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HRV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,88.004000000000005]
["Croatia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HRV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,11.996]
["Haiti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HTI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Haiti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HTI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,27.065000000000001]
["Haiti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HTI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.66600000000000004]
["Haiti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HTI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,50.963999999999999]
["Haiti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HTI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,21.305]
["Haiti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HTI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Haiti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HTI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,27.065000000000001]
["Haiti","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HTI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,72.935000000000002]
["Hungary","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Hungary","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,89.674000000000007]
["Hungary","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.3019999999999996]
["Hungary","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,5.8070000000000004]
["Hungary","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.217]
["Hungary","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Hungary","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,89.674000000000007]
["Hungary","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","HUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,10.326000000000001]
["Indonesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Indonesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,48.512]
["Indonesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.5939999999999999]
["Indonesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,35.042000000000002]
["Indonesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,12.853]
["Indonesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Indonesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,48.512]
["Indonesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,51.488]
["India","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IND - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["India","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IND - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,23.715]
["India","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IND - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.0150000000000001]
["India","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IND - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,62.148000000000003]
["India","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IND - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,12.122]
["India","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IND - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["India","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IND - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,23.715]
["India","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IND - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,76.284999999999997]
["Ireland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Ireland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,85.106999999999999]
["Ireland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.2830000000000004]
["Ireland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,10.098000000000001]
["Ireland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.51200000000000001]
["Ireland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Ireland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,85.106999999999999]
["Ireland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,14.893000000000001]
["Iran, Islamic Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Iran, Islamic Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,54.774999999999999]
["Iran, Islamic Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.8]
["Iran, Islamic Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,36.237000000000002]
["Iran, Islamic Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,5.1879999999999997]
["Iran, Islamic Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Iran, Islamic Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,54.774999999999999]
["Iran, Islamic Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,45.225000000000001]
["Iraq","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Iraq","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,77.594999999999999]
["Iraq","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.6120000000000001]
["Iraq","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,15.506]
["Iraq","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,4.2869999999999999]
["Iraq","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Iraq","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,77.594999999999999]
["Iraq","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","IRQ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,22.405000000000001]
["Iceland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Iceland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,87.894999999999996]
["Iceland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.9969999999999999]
["Iceland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,7.8179999999999996]
["Iceland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.28999999999999998]
["Iceland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Iceland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,87.894999999999996]
["Iceland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,12.105]
["Israel","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Israel","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,87.643000000000001]
["Israel","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.0880000000000001]
["Israel","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,8.2309999999999999]
["Israel","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.6999999999999998E-2]
["Israel","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Israel","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,87.643000000000001]
["Israel","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ISR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,12.356999999999999]
["Italy","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ITA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Italy","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ITA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,77.08]
["Italy","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ITA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,6.0529999999999999]
["Italy","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ITA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,15.691000000000001]
["Italy","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ITA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.175]
["Italy","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ITA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Italy","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ITA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,77.08]
["Italy","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ITA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,22.92]
["Jamaica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Jamaica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,60.692999999999998]
["Jamaica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.5339999999999998]
["Jamaica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,34.847000000000001]
["Jamaica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.92600000000000005]
["Jamaica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Jamaica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,60.692999999999998]
["Jamaica","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,39.307000000000002]
["Jordan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Jordan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,84.984999999999999]
["Jordan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.8129999999999997]
["Jordan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,8.7469999999999999]
["Jordan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.45500000000000002]
["Jordan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Jordan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,84.984999999999999]
["Jordan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,15.015000000000001]
["Japan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JPN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Japan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JPN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,89.79]
["Japan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JPN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.903]
["Japan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JPN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,6.0990000000000002]
["Japan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JPN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.2080000000000002]
["Japan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JPN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Japan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JPN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,89.79]
["Japan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","JPN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,10.210000000000001]
["Kazakhstan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KAZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Kazakhstan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KAZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,75.385000000000005]
["Kazakhstan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KAZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.462]
["Kazakhstan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KAZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,23.04]
["Kazakhstan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KAZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.114]
["Kazakhstan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KAZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Kazakhstan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KAZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,75.385000000000005]
["Kazakhstan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KAZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,24.614999999999998]
["Kenya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Kenya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,48.444000000000003]
["Kenya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.25600000000000001]
["Kenya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,43.915999999999997]
["Kenya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,7.3840000000000003]
["Kenya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Kenya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,48.444000000000003]
["Kenya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,51.555999999999997]
["Kyrgyz Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KGZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Kyrgyz Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KGZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,64.614000000000004]
["Kyrgyz Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KGZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.597]
["Kyrgyz Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KGZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,27.036000000000001]
["Kyrgyz Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KGZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,6.7530000000000001]
["Kyrgyz Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KGZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Kyrgyz Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KGZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,64.614000000000004]
["Kyrgyz Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KGZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,35.386000000000003]
["Cambodia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KHM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Cambodia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KHM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,49.643000000000001]
["Cambodia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KHM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,7.8E-2]
["Cambodia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KHM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,45.698]
["Cambodia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KHM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,4.5810000000000004]
["Cambodia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KHM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Cambodia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KHM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,49.643000000000001]
["Cambodia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KHM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,50.356999999999999]
["Korea, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Korea, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,75.131]
["Korea, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.8280000000000003]
["Korea, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,15.105]
["Korea, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.9359999999999999]
["Korea, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Korea, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,75.131]
["Korea, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,24.869]
["Kuwait","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KWT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Kuwait","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KWT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,98.224999999999994]
["Kuwait","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KWT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.69199999999999995]
["Kuwait","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KWT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,1.069]
["Kuwait","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KWT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.4E-2]
["Kuwait","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KWT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Kuwait","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KWT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,98.224999999999994]
["Kuwait","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","KWT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,1.7749999999999999]
["Lao PDR","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LAO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Lao PDR","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LAO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,19.382999999999999]
["Lao PDR","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LAO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.56299999999999994]
["Lao PDR","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LAO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,53.061]
["Lao PDR","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LAO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,26.992999999999999]
["Lao PDR","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LAO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Lao PDR","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LAO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,19.382999999999999]
["Lao PDR","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LAO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,80.617000000000004]
["Lebanon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Lebanon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,63.774000000000001]
["Lebanon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,9.3439999999999994]
["Lebanon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,23.689]
["Lebanon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.1930000000000001]
["Lebanon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Lebanon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,63.774000000000001]
["Lebanon","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,36.225999999999999]
["Liberia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Liberia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,21.285]
["Liberia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.5169999999999999]
["Liberia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,68.763999999999996]
["Liberia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,8.4339999999999993]
["Liberia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Liberia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,21.285]
["Liberia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,78.715000000000003]
["Libya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Libya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,93.17]
["Libya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.107]
["Libya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,5.2880000000000003]
["Libya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.435]
["Libya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Libya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,93.17]
["Libya","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LBY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,6.83]
["St. Lucia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LCA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["St. Lucia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LCA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,63.529000000000003]
["St. Lucia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LCA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,6.875]
["St. Lucia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LCA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,28.492999999999999]
["St. Lucia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LCA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.1040000000000001]
["St. Lucia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LCA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["St. Lucia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LCA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,63.529000000000003]
["St. Lucia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LCA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,36.470999999999997]
["Sri Lanka","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LKA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Sri Lanka","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LKA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,57.982999999999997]
["Sri Lanka","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LKA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.0209999999999999]
["Sri Lanka","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LKA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,31.239000000000001]
["Sri Lanka","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LKA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,7.7569999999999997]
["Sri Lanka","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LKA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Sri Lanka","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LKA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,57.982999999999997]
["Sri Lanka","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LKA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,42.017000000000003]
["Lesotho","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LSO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Lesotho","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LSO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,83.248999999999995]
["Lesotho","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LSO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.441]
["Lesotho","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LSO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,13.038]
["Lesotho","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LSO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.2719999999999998]
["Lesotho","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LSO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Lesotho","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LSO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,83.248999999999995]
["Lesotho","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LSO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,16.751000000000001]
["Lithuania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LTU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Lithuania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LTU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,88.468999999999994]
["Lithuania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LTU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.379]
["Lithuania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LTU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,8.4540000000000006]
["Lithuania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LTU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.69799999999999995]
["Lithuania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LTU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Lithuania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LTU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,88.468999999999994]
["Lithuania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LTU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,11.531000000000001]
["Luxembourg","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LUX - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Luxembourg","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LUX - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,91.465000000000003]
["Luxembourg","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LUX - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.92]
["Luxembourg","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LUX - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,4.7910000000000004]
["Luxembourg","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LUX - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.82399999999999995]
["Luxembourg","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LUX - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Luxembourg","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LUX - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,91.465000000000003]
["Luxembourg","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LUX - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,8.5350000000000001]
["Latvia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LVA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Latvia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LVA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,88.590999999999994]
["Latvia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LVA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.266]
["Latvia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LVA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,6.673]
["Latvia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LVA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.47]
["Latvia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LVA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Latvia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LVA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,88.590999999999994]
["Latvia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","LVA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,11.409000000000001]
["Macau, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Macau, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,93.813999999999993]
["Macau, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.1]
["Macau, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,2.9169999999999998]
["Macau, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.17]
["Macau, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAC - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Macau, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAC - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,93.813999999999993]
["Macau, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAC - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,6.1859999999999999]
["Morocco","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Morocco","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,49.828000000000003]
["Morocco","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.6339999999999999]
["Morocco","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,28.686]
["Morocco","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,18.852]
["Morocco","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Morocco","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,49.828000000000003]
["Morocco","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MAR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,50.171999999999997]
["Moldova","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Moldova","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,62.341000000000001]
["Moldova","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.312]
["Moldova","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,33.427999999999997]
["Moldova","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.919]
["Moldova","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Moldova","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,62.341000000000001]
["Moldova","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,37.658999999999999]
["Madagascar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Madagascar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,11.102]
["Madagascar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.8220000000000001]
["Madagascar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,44.939]
["Madagascar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,40.137]
["Madagascar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Madagascar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,11.102]
["Madagascar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,88.897999999999996]
["Maldives","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Maldives","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,76.408000000000001]
["Maldives","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.125]
["Maldives","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,16.648]
["Maldives","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.819]
["Maldives","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Maldives","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,76.408000000000001]
["Maldives","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MDV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,23.591999999999999]
["Mexico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MEX - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Mexico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MEX - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,68.281000000000006]
["Mexico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MEX - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.7869999999999999]
["Mexico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MEX - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,22.481999999999999]
["Mexico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MEX - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,4.45]
["Mexico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MEX - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Mexico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MEX - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,68.281000000000006]
["Mexico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MEX - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,31.719000000000001]
["North Macedonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MKD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["North Macedonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MKD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,76.694000000000003]
["North Macedonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MKD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.2779999999999996]
["North Macedonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MKD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,13.169]
["North Macedonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MKD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,5.859]
["North Macedonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MKD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["North Macedonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MKD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,76.694000000000003]
["North Macedonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MKD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,23.306000000000001]
["Mali","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Mali","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,18.41]
["Mali","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.60399999999999998]
["Mali","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,55.225000000000001]
["Mali","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,25.760999999999999]
["Mali","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Mali","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,18.41]
["Mali","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,81.59]
["Malta","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Malta","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,85.956000000000003]
["Malta","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.2350000000000003]
["Malta","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,9.7669999999999995]
["Malta","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,4.2000000000000003E-2]
["Malta","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Malta","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,85.956000000000003]
["Malta","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MLT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,14.044]
["Myanmar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Myanmar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,37.935000000000002]
["Myanmar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.0059999999999998]
["Myanmar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,35.651000000000003]
["Myanmar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,23.408000000000001]
["Myanmar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Myanmar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,37.935000000000002]
["Myanmar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MMR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,62.064999999999998]
["Montenegro","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Montenegro","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,78.406999999999996]
["Montenegro","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,8.3360000000000003]
["Montenegro","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,10.762]
["Montenegro","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.4950000000000001]
["Montenegro","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Montenegro","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,78.406999999999996]
["Montenegro","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,21.593]
["Mongolia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Mongolia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,50.570999999999998]
["Mongolia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.94299999999999995]
["Mongolia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,45.801000000000002]
["Mongolia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.6850000000000001]
["Mongolia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Mongolia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,50.570999999999998]
["Mongolia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,49.429000000000002]
["Mozambique","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MOZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Mozambique","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MOZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,14.385999999999999]
["Mozambique","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MOZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.4670000000000001]
["Mozambique","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MOZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,62.188000000000002]
["Mozambique","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MOZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,20.957999999999998]
["Mozambique","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MOZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Mozambique","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MOZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,14.385999999999999]
["Mozambique","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MOZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,85.614000000000004]
["Mauritania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Mauritania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,44.853999999999999]
["Mauritania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.6440000000000001]
["Mauritania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,43.97]
["Mauritania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,8.5329999999999995]
["Mauritania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Mauritania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,44.853999999999999]
["Mauritania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,55.146000000000001]
["Mauritius","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Mauritius","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,79.524000000000001]
["Mauritius","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.3049999999999997]
["Mauritius","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,14.111000000000001]
["Mauritius","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.06]
["Mauritius","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Mauritius","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,79.524000000000001]
["Mauritius","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,20.475999999999999]
["Malawi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MWI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Malawi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MWI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,39.671999999999997]
["Malawi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MWI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.1379999999999999]
["Malawi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MWI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,52.701999999999998]
["Malawi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MWI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,6.4870000000000001]
["Malawi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MWI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Malawi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MWI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,39.671999999999997]
["Malawi","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MWI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,60.328000000000003]
["Malaysia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MYS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Malaysia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MYS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,74.739000000000004]
["Malaysia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MYS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.472]
["Malaysia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MYS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,17.724]
["Malaysia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MYS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,4.0650000000000004]
["Malaysia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MYS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Malaysia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MYS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,74.739000000000004]
["Malaysia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","MYS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,25.260999999999999]
["Namibia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Namibia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,62.679000000000002]
["Namibia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,6.3010000000000002]
["Namibia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,26.577000000000002]
["Namibia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,4.4429999999999996]
["Namibia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Namibia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,62.679000000000002]
["Namibia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NAM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,37.320999999999998]
["New Caledonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NCL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["New Caledonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NCL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,83.162000000000006]
["New Caledonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NCL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.0990000000000002]
["New Caledonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NCL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,11.532999999999999]
["New Caledonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NCL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.20599999999999999]
["New Caledonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NCL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["New Caledonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NCL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,83.162000000000006]
["New Caledonia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NCL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,16.838000000000001]
["Niger","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NER - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Niger","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NER - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,5.6509999999999998]
["Niger","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NER - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.67400000000000004]
["Niger","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NER - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,59.908000000000001]
["Niger","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NER - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,33.768000000000001]
["Niger","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NER - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Niger","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NER - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,5.6509999999999998]
["Niger","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NER - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,94.349000000000004]
["Nigeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Nigeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,18.552]
["Nigeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.8359999999999999]
["Nigeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,64.058000000000007]
["Nigeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,13.554]
["Nigeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Nigeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,18.552]
["Nigeria","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,81.447999999999993]
["Nicaragua","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NIC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Nicaragua","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NIC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,53.837000000000003]
["Nicaragua","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NIC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.2930000000000001]
["Nicaragua","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NIC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,31.326000000000001]
["Nicaragua","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NIC - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,9.5440000000000005]
["Nicaragua","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NIC - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Nicaragua","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NIC - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,53.837000000000003]
["Nicaragua","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NIC - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,46.162999999999997]
["Netherlands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NLD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Netherlands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NLD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,83.382000000000005]
["Netherlands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NLD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.9649999999999999]
["Netherlands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NLD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,12.327999999999999]
["Netherlands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NLD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.32500000000000001]
["Netherlands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NLD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Netherlands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NLD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,83.382000000000005]
["Netherlands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NLD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,16.617999999999999]
["Norway","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Norway","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,93.539000000000001]
["Norway","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.554]
["Norway","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,4.7880000000000003]
["Norway","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.11799999999999999]
["Norway","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Norway","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,93.539000000000001]
["Norway","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NOR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,6.4610000000000003]
["Nepal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NPL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Nepal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NPL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,20.544]
["Nepal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NPL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.0409999999999999]
["Nepal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NPL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,37.61]
["Nepal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NPL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,40.805]
["Nepal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NPL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Nepal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NPL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,20.544]
["Nepal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NPL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,79.456000000000003]
["New Zealand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NZL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["New Zealand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NZL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,81.950999999999993]
["New Zealand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NZL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.9619999999999997]
["New Zealand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NZL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,11.305999999999999]
["New Zealand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NZL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.78100000000000003]
["New Zealand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NZL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["New Zealand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NZL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,81.950999999999993]
["New Zealand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","NZL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,18.048999999999999]
["Oman","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","OMN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Oman","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","OMN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,96.141999999999996]
["Oman","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","OMN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.226]
["Oman","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","OMN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,2.4569999999999999]
["Oman","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","OMN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.17599999999999999]
["Oman","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","OMN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Oman","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","OMN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,96.141999999999996]
["Oman","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","OMN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,3.8580000000000001]
["Pakistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Pakistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,43.110999999999997]
["Pakistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.4059999999999999]
["Pakistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,35.81]
["Pakistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,19.672999999999998]
["Pakistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Pakistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,43.110999999999997]
["Pakistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,56.889000000000003]
["Panama","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Panama","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,62.631999999999998]
["Panama","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.149]
["Panama","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,29.611999999999998]
["Panama","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,4.6059999999999999]
["Panama","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Panama","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,62.631999999999998]
["Panama","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PAN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,37.368000000000002]
["Peru","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PER - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Peru","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PER - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,45.622999999999998]
["Peru","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PER - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.9590000000000001]
["Peru","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PER - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,37.21]
["Peru","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PER - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,13.208]
["Peru","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PER - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Peru","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PER - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,45.622999999999998]
["Peru","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PER - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,54.377000000000002]
["Philippines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Philippines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,63.661000000000001]
["Philippines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.64]
["Philippines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,26.946000000000002]
["Philippines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,5.7530000000000001]
["Philippines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Philippines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,63.661000000000001]
["Philippines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PHL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,36.338999999999999]
["Papua New Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Papua New Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,20.521000000000001]
["Papua New Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.5580000000000001]
["Papua New Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,42.415999999999997]
["Papua New Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,35.506]
["Papua New Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Papua New Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,20.521000000000001]
["Papua New Guinea","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PNG - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,79.478999999999999]
["Poland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","POL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Poland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","POL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,79.911000000000001]
["Poland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","POL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.03]
["Poland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","POL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,13.782999999999999]
["Poland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","POL - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.2759999999999998]
["Poland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","POL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Poland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","POL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,79.911000000000001]
["Poland","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","POL - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,20.088999999999999]
["Puerto Rico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Puerto Rico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,83.353999999999999]
["Puerto Rico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.2759999999999998]
["Puerto Rico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,12.196999999999999]
["Puerto Rico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.17299999999999999]
["Puerto Rico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Puerto Rico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,83.353999999999999]
["Puerto Rico","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRI - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,16.646000000000001]
["Korea, Democratic People's Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Korea, Democratic People's Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,10.387]
["Korea, Democratic People's Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.7989999999999999]
["Korea, Democratic People's Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,37.603999999999999]
["Korea, Democratic People's Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,50.209000000000003]
["Korea, Democratic People's Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Korea, Democratic People's Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,10.387]
["Korea, Democratic People's Republic of","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,89.613]
["Portugal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Portugal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,83.337999999999994]
["Portugal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.8140000000000001]
["Portugal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,11.446]
["Portugal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.40200000000000002]
["Portugal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Portugal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,83.337999999999994]
["Portugal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,16.661999999999999]
["Paraguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Paraguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,57.143000000000001]
["Paraguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.3730000000000002]
["Paraguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,30.210999999999999]
["Paraguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,7.2729999999999997]
["Paraguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Paraguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,57.143000000000001]
["Paraguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PRY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,42.856999999999999]
["Occupied Palestinian Territory","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PSE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Occupied Palestinian Territory","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PSE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,69.843999999999994]
["Occupied Palestinian Territory","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PSE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,7.0860000000000003]
["Occupied Palestinian Territory","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PSE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,18.838999999999999]
["Occupied Palestinian Territory","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PSE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,4.2300000000000004]
["Occupied Palestinian Territory","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PSE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Occupied Palestinian Territory","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PSE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,69.843999999999994]
["Occupied Palestinian Territory","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PSE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,30.155999999999999]
["French Polynesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PYF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["French Polynesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PYF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,83.415999999999997]
["French Polynesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PYF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.9849999999999999]
["French Polynesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PYF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,12.138]
["French Polynesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PYF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.46200000000000002]
["French Polynesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PYF - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["French Polynesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PYF - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,83.415999999999997]
["French Polynesia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","PYF - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,16.584]
["Qatar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","QAT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Qatar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","QAT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,99.578000000000003]
["Qatar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","QAT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.27800000000000002]
["Qatar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","QAT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,0.13400000000000001]
["Qatar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","QAT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.01]
["Qatar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","QAT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Qatar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","QAT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,99.578000000000003]
["Qatar","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","QAT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,0.42199999999999999]
["Romania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ROU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Romania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ROU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,75.218000000000004]
["Romania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ROU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.0609999999999999]
["Romania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ROU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,16.216999999999999]
["Romania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ROU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,7.5049999999999999]
["Romania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ROU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Romania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ROU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,75.218000000000004]
["Romania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ROU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,24.782]
["Russian Federation","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Russian Federation","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,93.21]
["Russian Federation","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.4410000000000001]
["Russian Federation","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,4.9470000000000001]
["Russian Federation","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.40300000000000002]
["Russian Federation","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Russian Federation","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,93.21]
["Russian Federation","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RUS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,6.79]
["Rwanda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Rwanda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,31.943000000000001]
["Rwanda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,6.0999999999999999E-2]
["Rwanda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,39.481000000000002]
["Rwanda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,28.515000000000001]
["Rwanda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Rwanda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,31.943000000000001]
["Rwanda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","RWA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,68.057000000000002]
["Saudi Arabia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SAU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Saudi Arabia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SAU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,95.117000000000004]
["Saudi Arabia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SAU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.867]
["Saudi Arabia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SAU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,2.988]
["Saudi Arabia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SAU - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.8000000000000001E-2]
["Saudi Arabia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SAU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Saudi Arabia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SAU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,95.117000000000004]
["Saudi Arabia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SAU - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,4.883]
["Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,43.917999999999999]
["Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.6820000000000004]
["Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,33.735999999999997]
["Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,16.664999999999999]
["Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,43.917999999999999]
["Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SDN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,56.082000000000001]
["Senegal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Senegal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,34.514000000000003]
["Senegal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.85799999999999998]
["Senegal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,42.222999999999999]
["Senegal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,22.405000000000001]
["Senegal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Senegal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,34.514000000000003]
["Senegal","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,65.486000000000004]
["Singapore","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SGP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Singapore","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SGP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,85.975999999999999]
["Singapore","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SGP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.359]
["Singapore","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SGP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,9.3079999999999998]
["Singapore","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SGP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.35799999999999998]
["Singapore","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SGP - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Singapore","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SGP - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,85.975999999999999]
["Singapore","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SGP - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,14.023999999999999]
["Solomon Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Solomon Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,33.323999999999998]
["Solomon Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.999]
["Solomon Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,11.766]
["Solomon Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,53.911000000000001]
["Solomon Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Solomon Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,33.323999999999998]
["Solomon Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,66.676000000000002]
["Sierra Leone","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Sierra Leone","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,11.263999999999999]
["Sierra Leone","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.6110000000000002]
["Sierra Leone","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,79.813000000000002]
["Sierra Leone","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,6.3120000000000003]
["Sierra Leone","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Sierra Leone","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,11.263999999999999]
["Sierra Leone","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,88.736000000000004]
["El Salvador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["El Salvador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,61.293999999999997]
["El Salvador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.5140000000000002]
["El Salvador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,28.398]
["El Salvador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLV - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,5.7930000000000001]
["El Salvador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["El Salvador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,61.293999999999997]
["El Salvador","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SLV - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,38.706000000000003]
["Somalia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Somalia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,11.645]
["Somalia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.111]
["Somalia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,48.552]
["Somalia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,38.692999999999998]
["Somalia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Somalia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,11.645]
["Somalia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SOM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,88.355000000000004]
["Serbia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Serbia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,72.102999999999994]
["Serbia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.601]
["Serbia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,18.966999999999999]
["Serbia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,5.33]
["Serbia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Serbia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,72.102999999999994]
["Serbia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SRB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,27.896999999999998]
["South Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SSD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["South Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SSD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,11.746]
["South Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SSD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.4]
["South Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SSD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,45.701999999999998]
["South Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SSD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,39.152000000000001]
["South Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SSD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["South Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SSD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,11.746]
["South Sudan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SSD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,88.254000000000005]
["Sao Tome and Principe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","STP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Sao Tome and Principe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","STP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,50.274000000000001]
["Sao Tome and Principe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","STP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.6120000000000001]
["Sao Tome and Principe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","STP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,43.77]
["Sao Tome and Principe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","STP - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,4.3440000000000003]
["Sao Tome and Principe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","STP - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Sao Tome and Principe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","STP - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,50.274000000000001]
["Sao Tome and Principe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","STP - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,49.725999999999999]
["Suriname","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Suriname","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,85.873999999999995]
["Suriname","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.931]
["Suriname","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,10.752000000000001]
["Suriname","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.4419999999999999]
["Suriname","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Suriname","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,85.873999999999995]
["Suriname","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,14.125999999999999]
["Slovak Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Slovak Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,85.299000000000007]
["Slovak Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.903]
["Slovak Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,11.705]
["Slovak Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,9.2999999999999999E-2]
["Slovak Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Slovak Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,85.299000000000007]
["Slovak Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,14.701000000000001]
["Slovenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Slovenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,85.024000000000001]
["Slovenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.78]
["Slovenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,8.5839999999999996]
["Slovenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.6120000000000001]
["Slovenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Slovenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,85.024000000000001]
["Slovenia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SVN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,14.976000000000001]
["Sweden","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Sweden","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,90.432000000000002]
["Sweden","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.5049999999999999]
["Sweden","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,5.8609999999999998]
["Sweden","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.20200000000000001]
["Sweden","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Sweden","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,90.432000000000002]
["Sweden","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,9.5679999999999996]
["Eswatini","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Eswatini","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,65.174999999999997]
["Eswatini","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.1869999999999998]
["Eswatini","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,30.077999999999999]
["Eswatini","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.5590000000000002]
["Eswatini","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Eswatini","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,65.174999999999997]
["Eswatini","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SWZ - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,34.825000000000003]
["Syrian Arab Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SYR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Syrian Arab Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SYR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,62.938000000000002]
["Syrian Arab Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SYR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.6319999999999997]
["Syrian Arab Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SYR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,29.638000000000002]
["Syrian Arab Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SYR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.7919999999999998]
["Syrian Arab Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SYR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Syrian Arab Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SYR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,62.938000000000002]
["Syrian Arab Republic","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","SYR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,37.061999999999998]
["Chad","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TCD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Chad","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TCD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,6.7439999999999998]
["Chad","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TCD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.23200000000000001]
["Chad","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TCD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,65.585999999999999]
["Chad","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TCD - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,27.437999999999999]
["Chad","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TCD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Chad","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TCD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,6.7439999999999998]
["Chad","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TCD - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,93.256]
["Togo","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Togo","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,17.28]
["Togo","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.8089999999999999]
["Togo","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,54.441000000000003]
["Togo","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,26.47]
["Togo","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Togo","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,17.28]
["Togo","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TGO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,82.72]
["Thailand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","THA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Thailand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","THA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,48.832999999999998]
["Thailand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","THA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.6949999999999998]
["Thailand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","THA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,31.904]
["Thailand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","THA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,16.568000000000001]
["Thailand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","THA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Thailand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","THA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,48.832999999999998]
["Thailand","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","THA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,51.167000000000002]
["Tajikistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TJK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Tajikistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TJK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,57.084000000000003]
["Tajikistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TJK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.1639999999999999]
["Tajikistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TJK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,17.637]
["Tajikistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TJK - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,24.114999999999998]
["Tajikistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TJK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Tajikistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TJK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,57.084000000000003]
["Tajikistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TJK - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,42.915999999999997]
["Turkmenistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TKM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Turkmenistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TKM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,72.941000000000003]
["Turkmenistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TKM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.84]
["Turkmenistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TKM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,21.375]
["Turkmenistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TKM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,3.8439999999999999]
["Turkmenistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TKM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Turkmenistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TKM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,72.941000000000003]
["Turkmenistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TKM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,27.059000000000001]
["Timor-Leste","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TLS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Timor-Leste","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TLS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,31.286000000000001]
["Timor-Leste","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TLS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.0589999999999999]
["Timor-Leste","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TLS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,42.933]
["Timor-Leste","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TLS - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,24.722000000000001]
["Timor-Leste","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TLS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Timor-Leste","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TLS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,31.286000000000001]
["Timor-Leste","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TLS - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,68.713999999999999]
["Tonga","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TON - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Tonga","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TON - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,46.652999999999999]
["Tonga","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TON - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.107]
["Tonga","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TON - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,35.9]
["Tonga","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TON - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,16.34]
["Tonga","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TON - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Tonga","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TON - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,46.652999999999999]
["Tonga","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TON - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,53.347000000000001]
["Trinidad and Tobago","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TTO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Trinidad and Tobago","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TTO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,76.504999999999995]
["Trinidad and Tobago","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TTO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.3550000000000004]
["Trinidad and Tobago","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TTO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,17.686]
["Trinidad and Tobago","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TTO - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.45400000000000001]
["Trinidad and Tobago","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TTO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Trinidad and Tobago","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TTO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,76.504999999999995]
["Trinidad and Tobago","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TTO - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,23.495000000000001]
["Tunisia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Tunisia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,72.945999999999998]
["Tunisia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,7.0890000000000004]
["Tunisia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,16.978000000000002]
["Tunisia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,2.9860000000000002]
["Tunisia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Tunisia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,72.945999999999998]
["Tunisia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,27.053999999999998]
["Turkey","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Turkey","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,68.498000000000005]
["Turkey","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,4.4589999999999996]
["Turkey","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,17.184999999999999]
["Turkey","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,9.8580000000000005]
["Turkey","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Turkey","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,68.498000000000005]
["Turkey","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TUR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,31.501999999999999]
["Taiwan, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TWN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Taiwan, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TWN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,79.759]
["Taiwan, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TWN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.8759999999999999]
["Taiwan, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TWN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,11.474]
["Taiwan, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TWN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,4.891]
["Taiwan, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TWN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Taiwan, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TWN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,79.759]
["Taiwan, China","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TWN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,20.241]
["Tanzania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Tanzania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,14.497]
["Tanzania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.7749999999999999]
["Tanzania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,50.115000000000002]
["Tanzania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,32.613]
["Tanzania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Tanzania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,14.497]
["Tanzania","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","TZA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,85.503]
["Uganda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Uganda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,21.611999999999998]
["Uganda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.149]
["Uganda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,59.845999999999997]
["Uganda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,15.393000000000001]
["Uganda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Uganda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,21.611999999999998]
["Uganda","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UGA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,78.388000000000005]
["Ukraine","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UKR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Ukraine","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UKR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,84.259]
["Ukraine","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UKR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.88900000000000001]
["Ukraine","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UKR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,14.612]
["Ukraine","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UKR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.24]
["Ukraine","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UKR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Ukraine","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UKR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,84.259]
["Ukraine","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UKR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,15.741]
["Uruguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","URY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Uruguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","URY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,71.932000000000002]
["Uruguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","URY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.7480000000000002]
["Uruguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","URY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,23.559000000000001]
["Uruguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","URY - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.76100000000000001]
["Uruguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","URY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Uruguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","URY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,71.932000000000002]
["Uruguay","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","URY - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,28.068000000000001]
["United States","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","USA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["United States","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","USA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,93.781999999999996]
["United States","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","USA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.3820000000000001]
["United States","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","USA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,3.7770000000000001]
["United States","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","USA - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.06]
["United States","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","USA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["United States","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","USA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,93.781999999999996]
["United States","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","USA - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,6.218]
["Uzbekistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UZB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Uzbekistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UZB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,56.618000000000002]
["Uzbekistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UZB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.405]
["Uzbekistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UZB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,33.470999999999997]
["Uzbekistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UZB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,8.5060000000000002]
["Uzbekistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UZB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Uzbekistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UZB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,56.618000000000002]
["Uzbekistan","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","UZB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,43.381999999999998]
["St. Vincent and the Grenadines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VCT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["St. Vincent and the Grenadines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VCT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,74.61]
["St. Vincent and the Grenadines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VCT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.5250000000000004]
["St. Vincent and the Grenadines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VCT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,18.466999999999999]
["St. Vincent and the Grenadines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VCT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.3979999999999999]
["St. Vincent and the Grenadines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VCT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["St. Vincent and the Grenadines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VCT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,74.61]
["St. Vincent and the Grenadines","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VCT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,25.39]
["Venezuela, RB","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Venezuela, RB","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,61.603000000000002]
["Venezuela, RB","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.7869999999999999]
["Venezuela, RB","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,33.837000000000003]
["Venezuela, RB","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,1.7729999999999999]
["Venezuela, RB","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Venezuela, RB","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,61.603000000000002]
["Venezuela, RB","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VEN - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,38.396999999999998]
["United States Virgin Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VIR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["United States Virgin Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VIR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,87.337000000000003]
["United States Virgin Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VIR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.2359999999999998]
["United States Virgin Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VIR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,7.25]
["United States Virgin Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VIR - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.17699999999999999]
["United States Virgin Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VIR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["United States Virgin Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VIR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,87.337000000000003]
["United States Virgin Islands","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VIR - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,12.663]
["Vietnam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VNM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Vietnam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VNM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,43.878999999999998]
["Vietnam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VNM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,2.0470000000000002]
["Vietnam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VNM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,39.771000000000001]
["Vietnam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VNM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,14.303000000000001]
["Vietnam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VNM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Vietnam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VNM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,43.878999999999998]
["Vietnam","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VNM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,56.121000000000002]
["Vanuatu","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Vanuatu","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,28.119]
["Vanuatu","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,1.464]
["Vanuatu","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,61.688000000000002]
["Vanuatu","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,8.7289999999999992]
["Vanuatu","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Vanuatu","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,28.119]
["Vanuatu","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","VUT - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,71.881]
["Samoa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","WSM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Samoa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","WSM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,66.983999999999995]
["Samoa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","WSM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,3.032]
["Samoa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","WSM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,25.218]
["Samoa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","WSM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,4.7649999999999997]
["Samoa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","WSM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Samoa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","WSM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,66.983999999999995]
["Samoa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","WSM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,33.015999999999998]
["Yemen, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","YEM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Yemen, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","YEM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,47.058999999999997]
["Yemen, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","YEM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,7.3140000000000001]
["Yemen, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","YEM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,32.82]
["Yemen, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","YEM - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,12.807]
["Yemen, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","YEM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Yemen, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","YEM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,47.058999999999997]
["Yemen, Rep.","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","YEM - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,52.941000000000003]
["South Africa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["South Africa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,84.447999999999993]
["South Africa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,5.2530000000000001]
["South Africa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,9.7850000000000001]
["South Africa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,0.51300000000000001]
["South Africa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["South Africa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,84.447999999999993]
["South Africa","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZAF - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,15.552]
["Zambia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Zambia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,21.562999999999999]
["Zambia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.30199999999999999]
["Zambia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,44.718000000000004]
["Zambia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,33.415999999999997]
["Zambia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Zambia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,21.562999999999999]
["Zambia","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZMB - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,78.436999999999998]
["Zimbabwe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): Total",2019,100]
["Zimbabwe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 1. Employees",2019,34.790999999999997]
["Zimbabwe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 2. Employers",2019,0.47]
["Zimbabwe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 3. Own-account workers",2019,55.247999999999998]
["Zimbabwe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (ICSE-93): 5. Contributing family workers",2019,9.4909999999999997]
["Zimbabwe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Total",2019,100]
["Zimbabwe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Employees",2019,34.790999999999997]
["Zimbabwe","Employment distribution by status in employment (by sex) -- ILO modelled estimates, Nov. 2019 (%)","ZWE - ILO - ILO modelled estimates","Sex: Total","Status in employment (Aggregate): Self-employed",2019,65.209000000000003]

{"sheet":"L_Source_ILO_Unemployment","index":52,"n_rows":281,"n_cols":7,"rows_kept":281,"cut":false,"hidden":false,"merged":[]}
["Unemployment rate -- ILO modelled estimates, May 2018"]
["http://www.ilo.org/ilostat/faces/oracle/webcenter/portalapp/pagehierarchy/Page3.jspx?MBI_ID=2"]
["Downloaded from ILOSTAT 10/05/2020"]
[]
["Country","indicator.label","source.label","sex.label","classif1.label","time","obs_value"]
["Afghanistan","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","AFG - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,11.118]
["Angola","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","AGO - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.8860000000000001]
["Albania","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ALB - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,12.331]
["United Arab Emirates","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ARE - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.3479999999999999]
["Argentina","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ARG - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.7889999999999997]
["Armenia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ARM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,16.989999999999998]
["Australia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","AUS - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.2679999999999998]
["Austria","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","AUT - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.6740000000000004]
["Azerbaijan","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","AZE - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.5090000000000003]
["Burundi","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BDI - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,1.427]
["Belgium","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BEL - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.5890000000000004]
["Benin","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BEN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.2320000000000002]
["Burkina Faso","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BFA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.2640000000000002]
["Bangladesh","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BGD - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.1900000000000004]
["Bulgaria","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BGR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.34]
["Bahrain","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BHR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,0.71399999999999997]
["Bahamas, The","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BHS - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,10.36]
["Bosnia and Herzegovina","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BIH - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,18.425000000000001]
["Belarus","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BLR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.5949999999999998]
["Belize","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BLZ - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.4130000000000003]
["Bolivia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BOL - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.4980000000000002]
["Brazil","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BRA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,12.083]
["Barbados","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BRB - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,10.331]
["Brunei Darussalam","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BRN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.1170000000000009]
["Bhutan","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BTN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.3420000000000001]
["Botswana","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","BWA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,18.193000000000001]
["Central African Republic","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CAF - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.68]
["Canada","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CAN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.5640000000000001]
["Channel Islands","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CHA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,7.4870000000000001]
["Switzerland","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CHE - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.5810000000000004]
["Chile","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CHL - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,7.09]
["China","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CHN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.32]
["Cote d'Ivoire","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CIV - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.3170000000000002]
["Cameroon","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CMR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.38]
["Congo, Dem. Rep.","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","COD - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.2359999999999998]
["Congo, Rep.","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","COG - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.4719999999999995]
["Colombia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","COL - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.7070000000000007]
["Comoros","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","COM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.3360000000000003]
["Cabo Verde","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CPV - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,12.249000000000001]
["Costa Rica","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CRI - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,11.853999999999999]
["Cuba","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CUB - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,1.6379999999999999]
["Cyprus","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CYP - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,7.274]
["Czech Republic","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","CZE - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,1.9330000000000001]
["Germany","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","DEU - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.0430000000000001]
["Djibouti","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","DJI - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,10.295]
["Denmark","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","DNK - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.9130000000000003]
["Dominican Republic","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","DOM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.8449999999999998]
["Algeria","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","DZA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,11.704000000000001]
["Ecuador","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ECU - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.968]
["Egypt, Arab Rep.","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","EGY - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,10.76]
["Eritrea","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ERI - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.1440000000000001]
["Western Sahara","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ESH - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.3810000000000002]
["Spain","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ESP - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,13.959]
["Estonia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","EST - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.1150000000000002]
["Ethiopia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ETH - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.081]
["Finland","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","FIN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.5949999999999998]
["Fiji","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","FJI - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.101]
["France","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","FRA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.4269999999999996]
["Gabon","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","GAB - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,20.004000000000001]
["United Kingdom","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","GBR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.851]
["Georgia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","GEO - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,14.398]
["Ghana","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","GHA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.3310000000000004]
["Guinea","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","GIN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.2960000000000003]
["Gambia, The","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","GMB - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.0559999999999992]
["Guinea-Bissau","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","GNB - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.4660000000000002]
["Equatorial Guinea","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","GNQ - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.4329999999999998]
["Greece","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","GRC - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,17.238]
["Guatemala","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","GTM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.4590000000000001]
["Guam","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","GUM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.3109999999999999]
["Guyana","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","GUY - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,11.852]
["Hong Kong SAR, China","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","HKG - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.629]
["Honduras","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","HND - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.3860000000000001]
["Croatia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","HRV - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.9349999999999996]
["Haiti","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","HTI - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,13.781000000000001]
["Hungary","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","HUN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.399]
["Indonesia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","IDN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.6870000000000003]
["India","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","IND - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.3550000000000004]
["Ireland","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","IRL - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.9279999999999999]
["Iran, Islamic Republic of","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","IRN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,11.382]
["Iraq","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","IRQ - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,12.821999999999999]
["Iceland","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ISL - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.8420000000000001]
["Israel","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ISR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.8610000000000002]
["Italy","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ITA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.8870000000000005]
["Jamaica","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","JAM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.0020000000000007]
["Jordan","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","JOR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,14.715]
["Japan","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","JPN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.2909999999999999]
["Kazakhstan","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","KAZ - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.59]
["Kenya","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","KEN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.6419999999999999]
["Kyrgyz Republic","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","KGZ - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.33]
["Cambodia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","KHM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,0.67700000000000005]
["Korea, Rep.","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","KOR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.1479999999999997]
["Kuwait","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","KWT - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.1819999999999999]
["Lao PDR","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","LAO - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,0.626]
["Lebanon","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","LBN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.2290000000000001]
["Liberia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","LBR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.8140000000000001]
["Libya","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","LBY - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,18.562999999999999]
["St. Lucia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","LCA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,20.706]
["Sri Lanka","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","LKA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.1980000000000004]
["Lesotho","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","LSO - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,23.405000000000001]
["Lithuania","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","LTU - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.3520000000000003]
["Luxembourg","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","LUX - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.3630000000000004]
["Latvia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","LVA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.52]
["Macau, China","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MAC - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.2370000000000001]
["Morocco","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MAR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.0190000000000001]
["Moldova","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MDA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.4729999999999999]
["Madagascar","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MDG - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,1.758]
["Maldives","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MDV - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.1379999999999999]
["Mexico","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MEX - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.4249999999999998]
["North Macedonia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MKD - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,17.759]
["Mali","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MLI - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,7.2240000000000002]
["Malta","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MLT - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.4729999999999999]
["Myanmar","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MMR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,1.577]
["Montenegro","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MNE - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,14.882999999999999]
["Mongolia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MNG - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.0110000000000001]
["Mozambique","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MOZ - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.2410000000000001]
["Mauritania","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MRT - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.548]
["Mauritius","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MUS - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.6740000000000004]
["Malawi","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MWI - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.6529999999999996]
["Malaysia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","MYS - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.3239999999999998]
["Namibia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","NAM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,20.273]
["New Caledonia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","NCL - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,12.8]
["Niger","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","NER - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,0.47499999999999998]
["Nigeria","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","NGA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.0960000000000001]
["Nicaragua","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","NIC - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.8369999999999997]
["Netherlands","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","NLD - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.1960000000000002]
["Norway","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","NOR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.3460000000000001]
["Nepal","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","NPL - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,1.407]
["New Zealand","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","NZL - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.069]
["Oman","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","OMN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.6709999999999998]
["Pakistan","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","PAK - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.4530000000000003]
["Panama","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","PAN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.9020000000000001]
["Peru","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","PER - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.31]
["Philippines","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","PHL - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.15]
["Papua New Guinea","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","PNG - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.4590000000000001]
["Poland","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","POL - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.4740000000000002]
["Puerto Rico","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","PRI - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.1869999999999994]
["Korea, Democratic People's Republic of","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","PRK - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.74]
["Portugal","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","PRT - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.3339999999999996]
["Paraguay","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","PRY - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.8090000000000002]
["Occupied Palestinian Territory","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","PSE - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,26.169]
["French Polynesia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","PYF - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,12.096]
["Qatar","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","QAT - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.0999999999999998E-2]
["Romania","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ROU - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.976]
["Russian Federation","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","RUS - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.585]
["Rwanda","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","RWA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,1.03]
["Saudi Arabia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SAU - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.9269999999999996]
["Sudan","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SDN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,16.535]
["Senegal","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SEN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.6040000000000001]
["Singapore","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SGP - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.109]
["Solomon Islands","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SLB - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,0.57599999999999996]
["Sierra Leone","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SLE - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.4279999999999999]
["El Salvador","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SLV - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.1100000000000003]
["Somalia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SOM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,11.351000000000001]
["Serbia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SRB - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,12.686]
["South Sudan","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SSD - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,12.244]
["Sao Tome and Principe","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","STP - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,13.369]
["Suriname","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SUR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,7.3339999999999996]
["Slovak Republic","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SVK - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.5609999999999999]
["Slovenia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SVN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.1950000000000003]
["Sweden","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SWE - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.476]
["Eswatini","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SWZ - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,22.082999999999998]
["Syrian Arab Republic","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","SYR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.3699999999999992]
["Chad","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","TCD - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,1.891]
["Togo","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","TGO - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.0379999999999998]
["Thailand","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","THA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,0.754]
["Tajikistan","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","TJK - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,11.016999999999999]
["Turkmenistan","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","TKM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.9129999999999998]
["Timor-Leste","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","TLS - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.548]
["Tonga","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","TON - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,1.117]
["Trinidad and Tobago","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","TTO - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.6859999999999999]
["Tunisia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","TUN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,16.021999999999998]
["Turkey","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","TUR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,13.49]
["Taiwan, China","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","TWN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.73]
["Tanzania","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","TZA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,1.98]
["Uganda","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","UGA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,1.843]
["Ukraine","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","UKR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.8819999999999997]
["Uruguay","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","URY - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.7309999999999999]
["United States","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","USA - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.6819999999999999]
["Uzbekistan","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","UZB - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.9169999999999998]
["St. Vincent and the Grenadines","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","VCT - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,18.881]
["Venezuela, RB","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","VEN - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.8010000000000002]
["United States Virgin Islands","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","VIR - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.6620000000000008]
["Vietnam","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","VNM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.0129999999999999]
["Vanuatu","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","VUT - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.3849999999999998]
["Samoa","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","WSM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.359]
["World","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X01 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.39]
["World: Low income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X02 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.8980000000000001]
["World: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X03 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.2809999999999997]
["World: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X04 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.07]
["World: High income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X05 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.7960000000000003]
["Africa","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X06 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.8310000000000004]
["Africa: Low income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X07 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.181]
["Africa: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X08 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,7.9290000000000003]
["Africa: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X09 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,21.817]
["Northern Africa","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X10 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,12.137]
["Northern Africa: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X11 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,11.965]
["Northern Africa: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X12 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,12.832000000000001]
["Sub-Saharan Africa","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X13 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.8819999999999997]
["Sub-Saharan Africa: Low income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X14 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.181]
["Sub-Saharan Africa: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X15 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.367]
["Sub-Saharan Africa: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X16 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,26.782]
["Central Africa","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X17 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.7640000000000002]
["Eastern Africa","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X18 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.226]
["Southern Africa","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X19 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,27.238]
["Western Africa","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X20 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.0129999999999999]
["Americas","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X21 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.5030000000000001]
["Americas: Low income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X22 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,13.781000000000001]
["Americas: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X23 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.7699999999999996]
["Americas: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X24 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.2159999999999993]
["Americas: High income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X25 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.1120000000000001]
["Latin America and the Caribbean","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X26 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.0619999999999994]
["Latin America and the Caribbean: Low income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X27 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,13.781000000000001]
["Latin America and the Caribbean: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X28 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.7699999999999996]
["Latin America and the Caribbean: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X29 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.2189999999999994]
["Latin America and the Caribbean: High income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X30 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.8140000000000001]
["Caribbean","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X31 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,7.2389999999999999]
["Central America","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X32 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.887]
["South America","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X33 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.6790000000000003]
["Northern America","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X34 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.8879999999999999]
["Northern America: High income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X35 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.8879999999999999]
["Arab States","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X36 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.032]
["Arab States: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X37 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,26.169]
["Arab States: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X38 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,12.124000000000001]
["Arab States: High income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X39 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.891]
["Asia and the Pacific","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X40 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.3760000000000003]
["Asia and the Pacific: Low income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X41 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.2619999999999996]
["Asia and the Pacific: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X42 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.55]
["Asia and the Pacific: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X43 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.367]
["Asia and the Pacific: High income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X44 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.2690000000000001]
["Eastern Asia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X45 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.1289999999999996]
["Eastern Asia: Low income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X46 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.74]
["Eastern Asia: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X47 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.32]
["Eastern Asia: High income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X48 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.9540000000000002]
["South-Eastern Asia and the Pacific","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X49 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.07]
["South-Eastern Asia and the Pacific: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X51 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.2349999999999999]
["South-Eastern Asia and the Pacific: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X52 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,1.5149999999999999]
["South-Eastern Asia and the Pacific: High income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X53 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.2130000000000001]
["South-Eastern Asia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X54 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.9710000000000001]
["Pacific Islands","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X55 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.7160000000000002]
["Southern Asia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X56 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.36]
["Southern Asia: Low income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X57 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.173]
["Southern Asia: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X58 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.1210000000000004]
["Southern Asia: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X59 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.64]
["Europe and Central Asia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X60 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.7370000000000001]
["Europe and Central Asia: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X61 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,7.4370000000000003]
["Europe and Central Asia: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X62 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,7.2590000000000003]
["Europe and Central Asia: High income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X63 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.2670000000000003]
["Northern, Southern and Western Europe","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X64 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.9950000000000001]
["Northern, Southern and Western Europe: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X65 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,14.262]
["Northern, Southern and Western Europe: High income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X66 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.7270000000000003]
["Northern Europe","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X67 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.4569999999999999]
["Southern Europe","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X68 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,11.768000000000001]
["Western Europe","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X69 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.0140000000000002]
["Eastern Europe","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X70 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.8879999999999999]
["Eastern Europe: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X71 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,8.65]
["Eastern Europe: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X72 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.5170000000000003]
["Eastern Europe: High income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X73 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,3.3769999999999998]
["Central Asia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X74 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.8010000000000002]
["Central and Western Asia: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X75 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.9770000000000003]
["Central and Western Asia: Upper-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X76 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,10.723000000000001]
["Central and Western Asia: High income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X77 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.3319999999999999]
["Central and Western Asia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X78 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,9.3859999999999992]
["Western Asia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X79 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,11.855]
["European Union 28","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X82 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.2670000000000003]
["G20","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X83 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.46]
["ASEAN","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X84 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,2.9689999999999999]
["BRICS","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X85 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.5970000000000004]
["Eastern Asia: Lower-middle income","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X86 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,6.0110000000000001]
["World excluding BRICS","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X87 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,5.2350000000000003]
["G7","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X88 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.2629999999999999]
["MENA","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X89 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,10.385]
["Arab League","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","X90 - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,10.346]
["Yemen, Rep.","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","YEM - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,12.91]
["South Africa","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ZAF - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,28.181000000000001]
["Zambia","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ZMB - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,11.425000000000001]
["Zimbabwe","Unemployment rate by sex and age -- ILO modelled estimates, Nov. 2019 (%)","ZWE - ILO - ILO modelled estimates","Sex: Total","Age (Youth, adults): 15+",2019,4.9539999999999997]

{"sheet":"Source_OECDEU_incidence","index":53,"n_rows":55,"n_cols":24,"rows_kept":55,"cut":false,"hidden":false,"merged":[[5,21,5,23],[0,21,2,21],[1,0,2,0],[1,1,2,1],[1,2,2,2],[1,3,1,8],[1,10,1,15],[0,7,0,8],[1,16,1,20]]}
["OECD AND EU INCIDENCE RESULTS",null,null,"DATA TO BE COLLECTED  / UPDATED",null,null,"Source","https://stats.oecd.org/index.aspx?queryid=66670",null,null,null,null,null,null,null,null,null,null,null,null,null,"SOURCES","before = ","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_di12c&lang=en"]
["Country","OECD","CRI-2 OECD Year used","ALL Tax & Transfer (=SP spending) Incidence FROM OECD STAT IDD",null,null,null,null,null,null,"Services data are 2007 from 2011 Verbist study, quoted in Divided We Stand, p.317",null,null,null,null,null,"Eurostat (all 2018 unless indicacted)",null,null,null,null,null,"after =","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_di12&lang=en"]
[null,null,null,"Gini (market income, before taxes and transfers)","Gini (gross income, before taxes)","Gini (disposable income, post taxes and transfers)","Gini after services","Incidence transfers","Incidence taxes",null,"Services","SP+ Serv","TOTAL","% red gini",null,null,"Before\nGini coefficient of equivalised disposable income before social transfers (pensions excluded from social transfers) [ilc_di12c]","After\nGini coefficient of equivalised disposable income - EU-SILC survey [ilc_di12]","incidence","incl Pensions\nGini coefficient of equivalised disposable income before social transfers (pensions included in social transfers) [ilc_di12b]","incidence",null,"incl pensions = ","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_di12b&lang=en"]
["Australia",2018,2014,0.45400000000000001,0.375,0.32500000000000001,null,{"$f":"D4-E4","v":7.9000000000000015E-2},{"$f":"E4-F4","v":4.9999999999999989E-2},null,{"$f":"0.312-0.26","v":5.1999999999999991E-2},{"$f":"H4+K4","v":0.13100000000000001},{"$f":"H4+I4+K4","v":0.18099999999999999},{"$f":"(H4+I4+K4)/D4","v":0.39867841409691629},null,null,null,null,null,null,null,"NOT USED FOR COMPARABILITY WITH CEQ NUMBERS"]
["Austria",2017,2015,0.48499999999999999,0.32200000000000001,0.27500000000000002,null,{"$f":"D5-E5","v":0.16299999999999998},4.6999999999999986E-2,null,{"$f":"0.267-0.219","v":4.8000000000000015E-2},{"$f":"H5+K5","v":0.21099999999999999},{"$f":"H5+I5+K5","v":0.25800000000000001},{"$f":"(H5+I5+K5)/D5","v":0.53195876288659794},null,null,0.32900000000000001,0.26800000000000002,{"$f":"Q5-R5","v":6.0999999999999999E-2},0.46300000000000002,{"$f":"T5-R5","v":0.19500000000000001},"CHECK TAX INCIDENCE DATA USED"]
["Belgium",2017,2015,0.48499999999999999,0.314,0.26300000000000001,null,0.17099999999999999,5.099999999999999E-2,null,{"$f":"0.264-0.209","v":5.5000000000000021E-2},{"$f":"H6+K6","v":0.22600000000000001},{"$f":"H6+I6+K6","v":0.27700000000000002},{"$f":"(H6+I6+K6)/D6","v":0.57113402061855678},null,null,0.32300000000000001,0.25600000000000001,{"$f":"Q6-R6","v":6.7000000000000004E-2},0.46899999999999997,{"$f":"T6-R6","v":0.21299999999999997},"NUMBERS NOT COMPARABLE AT ALL WITH OECD THO TOP PERFRS MATCH W/OUT PENSION"]
["Bulgaria",2017,"EU",0.52900000000000003,0.40699999999999997,0.39500000000000002,null,0.12200000000000005,1.1999999999999955E-2,null,null,null,null,null,null,null,0.433,0.39600000000000002,{"$f":"Q7-R7","v":3.6999999999999977E-2},0.54800000000000004,{"$f":"T7-R7","v":0.15200000000000002},"CEQ ADVISED/USED OECD"]
["Canada",2017,2015,0.438,0.35199999999999998,0.31,null,{"$f":"D8-E8","v":8.6000000000000021E-2},{"$f":"E8-F8","v":4.1999999999999982E-2},null,{"$f":"0.319-0.259","v":0.06},{"$f":"H8+K8","v":0.14600000000000002},{"$f":"H8+I8+K8","v":0.188},{"$f":"(H8+I8+K8)/D8","v":0.42922374429223742}]
["Chile",2017,2015,0.495,0.47,0.46,null,{"$f":"D9-E9","v":2.5000000000000022E-2},{"$f":"E9-F9","v":9.9999999999999534E-3}]
["Croatia","EU","EU",null,null,null,null,null,null,null,null,null,null,null,null,null,0.33800000000000002,0.29699999999999999,{"$f":"Q10-R10","v":4.1000000000000036E-2},0.498,{"$f":"T10-R10","v":0.20100000000000001}]
["Cyprus","EU","EU",null,null,null,null,null,null,null,null,null,null,null,null,null,0.34,0.29099999999999998,4.9000000000000044E-2,0.47599999999999998,0.185]
["Czech Rep",2017,2015,0.435,0.28699999999999998,0.249,null,{"$f":"D12-E12","v":0.14800000000000002},3.7999999999999978E-2,null,{"$f":"0.261-0.207","v":5.400000000000002E-2},{"$f":"H12+K12","v":0.20200000000000004},{"$f":"H12+I12+K12","v":0.24000000000000002},{"$f":"(H12+I12+K12)/D12","v":0.55172413793103448},null,null,0.27300000000000002,0.24,3.3000000000000029E-2,0.42399999999999999,0.184]
["Denmark",2016,2014,0.44700000000000001,0.30399999999999999,0.26100000000000001,null,0.14300000000000002,4.2999999999999983E-2,null,{"$f":"0.25-0.194","v":5.5999999999999994E-2},0.19900000000000001,0.24199999999999999,0.54138702460850108,null,null,0.36,0.27800000000000002,8.1999999999999962E-2,0.49,0.21199999999999997]
["Estonia",2017,2015,0.44500000000000001,0.33300000000000002,0.309,null,0.11199999999999999,2.4000000000000021E-2,null,{"$f":"0.338-0.28","v":5.7999999999999996E-2},0.16999999999999998,0.19400000000000001,0.43595505617977531,null,null,0.34100000000000003,0.30599999999999999,3.5000000000000031E-2,0.441,0.13500000000000001]
["Finland",2017,2015,0.51200000000000001,0.315,0.26600000000000001,null,0.19700000000000001,4.8999999999999988E-2,null,{"$f":"0.266-0.218","v":4.8000000000000015E-2},0.24500000000000002,0.29400000000000004,0.57421875000000011,null,null,0.34399999999999997,0.25900000000000001,8.4999999999999964E-2,0.48799999999999999,0.22899999999999998]
["France",2017,2015,0.51900000000000002,0.32700000000000001,0.29199999999999998,null,0.192,3.5000000000000031E-2,null,{"$f":"0.264-0.209","v":5.5000000000000021E-2},0.24700000000000003,0.28200000000000003,0.54335260115606943,null,null,0.34899999999999998,0.28499999999999998,6.4000000000000001E-2,0.50900000000000001,0.22400000000000003]
["Germany",2017,2014,0.5,0.34599999999999997,0.28899999999999998,null,0.15400000000000003,5.6999999999999995E-2,null,{"$f":"0.3-0.249","v":5.099999999999999E-2},0.20500000000000002,0.26200000000000001,0.52400000000000002,null,null,0.36599999999999999,0.311,5.4999999999999993E-2,0.56399999999999995,0.25299999999999995]
["Greece",2016,2015,0.47799999999999998,0.34599999999999997,0.28899999999999998,null,0.13200000000000001,5.6999999999999995E-2,null,{"$f":"0.342-0.288","v":5.4000000000000048E-2},0.18600000000000005,0.24300000000000005,0.50836820083682022,null,null,0.35199999999999998,0.32300000000000001,2.899999999999997E-2,0.56999999999999995,0.24699999999999994]
["Hungary",2017,"no pre-tax data",0.47799999999999998,0.32400000000000001,0.28899999999999998,null,0.15399999999999997,3.5000000000000031E-2,null,{"$f":"0.262-0.201","v":6.0999999999999999E-2},0.21499999999999997,0.25,null,null,null,0.34100000000000003,0.28699999999999998,5.4000000000000048E-2,0.49099999999999999,0.20400000000000001]
["Iceland",2015,2014,0.38500000000000001,0.28899999999999998,0.25700000000000001,null,9.600000000000003E-2,3.1999999999999973E-2,null,{"$f":"0.291-0.227","v":6.3999999999999974E-2},0.16,0.19199999999999998,{"$f":"(H20+I20+K20)/D20","v":0.49870129870129865},null,null,0.29699999999999999,0.24099999999999999,5.5999999999999994E-2,0.39700000000000002,0.15600000000000003]
["Ireland",2017,2014,0.53500000000000003,0.38,0.29499999999999998,null,0.15500000000000003,8.500000000000002E-2,null,{"$f":"0.317-0.242","v":7.5000000000000011E-2},0.23000000000000004,0.31500000000000006,{"$f":"(H21+I21+K21)/D21","v":0.58878504672897203},null,null,0.39300000000000002,0.28899999999999998,0.10400000000000004,0.47599999999999998,0.187,2016]
["Israel",2018,2016,0.44400000000000001,0.39800000000000002,0.34799999999999998,null,4.5999999999999985E-2,5.0000000000000044E-2]
["Italy",2017,2014,0.51600000000000001,0.377,0.33400000000000002,null,0.13900000000000001,4.2999999999999983E-2,null,{"$f":"0.32-0.262","v":5.7999999999999996E-2},{"$f":"H23+K23","v":0.19700000000000001},{"$f":"H23+I23+K23","v":0.24},{"$f":"(H23+I23+K23)/D23","v":0.46511627906976744},null,null,0.35699999999999998,0.33400000000000002,{"$f":"Q23-R23","v":2.2999999999999965E-2},0.48499999999999999,0.15099999999999997]
["Japan",2015,2012,0.504,0.36299999999999999,0.33900000000000002,null,0.14100000000000001,2.3999999999999966E-2]
["Korea",2017,2015,0.40600000000000003,"NA",0.35499999999999998,null,"COMBINED = ",{"$f":"D25-F25","v":5.1000000000000045E-2}]
["Latvia",2017,2015,0.48099999999999998,0.38300000000000001,0.35499999999999998,null,{"$f":"D26-E26","v":9.7999999999999976E-2},{"$f":"E26-F26","v":2.8000000000000025E-2},null,null,null,null,null,null,null,0.38200000000000001,0.35599999999999998,{"$f":"Q26-R26","v":2.6000000000000023E-2},0.48099999999999998,{"$f":"T26-R26","v":0.125}]
["Lithuania",2017,2015,0.51,0.39400000000000002,0.374,null,{"$f":"D27-E27","v":0.11599999999999999},2.0000000000000018E-2,null,null,{"$f":"H27+K27","v":0.11599999999999999},{"$f":"H27+I27+K27","v":0.13600000000000001},{"$f":"(H27+I27+K27)/D27","v":0.26666666666666666},null,null,0.40600000000000003,0.36899999999999999,{"$f":"Q27-R27","v":3.7000000000000033E-2},0.51100000000000001,0.14200000000000002]
["Luxembourg",2017,2014,0.496,0.33300000000000002,0.32700000000000001,null,{"$f":"D28-E28","v":0.16299999999999998},{"$f":"E28-F28","v":6.0000000000000053E-3},null,{"$f":"0.275-0.22","v":5.5000000000000021E-2},{"$f":"H28+K28","v":0.218},{"$f":"H28+I28+K28","v":0.224},{"$f":"(H28+I28+K28)/D28","v":0.45161290322580644},null,null,0.38100000000000001,0.33200000000000002,{"$f":"Q28-R28","v":4.8999999999999988E-2},0.51900000000000002,0.187]
["Malta","EU","EU",null,null,null,null,null,null,null,null,null,null,null,null,null,0.32100000000000001,0.28699999999999998,{"$f":"Q29-R29","v":3.400000000000003E-2},0.44,0.15300000000000002]
["Mexico",2016,2014,0.47299999999999998,"NA",0.45800000000000002,null,"COMBINED = ",{"$f":"D30-F30","v":1.4999999999999958E-2},null,{"$f":"0.475-0.375","v":9.9999999999999978E-2}]
["Montenegro",null,"-",null,null,null,null,null,null,null,null,null,null,null,null,null,0.42199999999999999,0.36699999999999999,{"$f":"Q31-R31","v":5.4999999999999993E-2},0.53300000000000003,{"$f":"T31-R31","v":0.16600000000000004},2017]
["Netherlands",2016,2015,0.44500000000000001,0.33400000000000002,0.28499999999999998,null,{"$f":"D32-E32","v":0.11099999999999999},4.9000000000000044E-2,null,{"$f":"0.272-0.22","v":5.2000000000000018E-2},{"$f":"H32+K32","v":0.16300000000000001},{"$f":"H32+I32+K32","v":0.21200000000000005},{"$f":"(H32+I32+K32)/D32","v":0.47640449438202259},null,null,0.32700000000000001,0.27400000000000002,{"$f":"Q32-R32","v":5.2999999999999992E-2},0.46600000000000003,0.192]
["New Zealand",2014,2014,0.46200000000000002,0.372,0.34899999999999998,null,9.0000000000000024E-2,2.300000000000002E-2]
["North Macedonia",null,"-",null,null,null,null,null,null,null,null,null,null,null,null,null,0.34699999999999998,0.31900000000000001,{"$f":"Q34-R34","v":2.7999999999999969E-2},0.47,{"$f":"T34-R34","v":0.15099999999999997}]
["Norway",2017,2015,0.42899999999999999,0.30299999999999999,0.26200000000000001,null,0.126,4.0999999999999981E-2,null,{"$f":"0.242-0.193","v":4.8999999999999988E-2},{"$f":"H35+K35","v":0.17499999999999999},{"$f":"H35+I35+K35","v":0.21599999999999997},{"$f":"(H35+I35+K35)/D35","v":0.50349650349650343},null,null,0.34499999999999997,0.248,{"$f":"Q35-R35","v":9.6999999999999975E-2},0.51,0.26200000000000001]
["Poland",2017,2015,0.44700000000000001,0.28699999999999998,0.27500000000000002,null,0.16000000000000003,1.1999999999999955E-2,null,{"$f":"0.317-0.259","v":5.7999999999999996E-2},{"$f":"H36+K36","v":0.21800000000000003},{"$f":"H36+I36+K36","v":0.22999999999999998},{"$f":"(H36+I36+K36)/D36","v":0.5145413870246085},null,null,0.32700000000000001,0.27800000000000002,4.8999999999999988E-2,0.46300000000000002,0.185]
["Portugal",2017,2015,0.51700000000000002,0.38100000000000001,0.32,null,0.13600000000000001,6.0999999999999999E-2,null,{"$f":"0.37-0.291","v":7.9000000000000015E-2},{"$f":"H37+K37","v":0.21500000000000002},{"$f":"H37+I37+K37","v":0.27600000000000002},{"$f":"(H37+I37+K37)/D37","v":0.53384912959381048},null,null,0.35199999999999998,0.32100000000000001,3.0999999999999972E-2,0.56499999999999995,0.24399999999999994]
["Romania",2017,"EU",0.51800000000000002,0.377,0.35099999999999998,null,0.14100000000000001,2.6000000000000023E-2,null,null,null,null,null,null,null,0.38,0.35099999999999998,2.9000000000000026E-2,0.54600000000000004,0.19500000000000006]
["Serbia",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.39500000000000002,0.35599999999999998,3.9000000000000035E-2,0.56999999999999995,0.21399999999999997]
["Slovak Rep",2016,2015,0.39800000000000002,0.26900000000000002,0.24099999999999999,null,{"$f":"D40-E40","v":0.129},2.8000000000000025E-2,null,{"$f":"0.251-0.204","v":4.7000000000000014E-2},{"$f":"H40+K40","v":0.17600000000000002},{"$f":"H40+I40+K40","v":0.20400000000000004},{"$f":"(H40+I40+K40)/D40","v":0.51256281407035187},null,null,0.24299999999999999,0.20899999999999999,3.4000000000000002E-2,0.372,0.16300000000000001]
["Slovenia",2017,2015,0.44500000000000001,0.29299999999999998,0.24299999999999999,null,0.15200000000000002,4.9999999999999989E-2,null,{"$f":"0.236-0.196","v":3.999999999999998E-2},{"$f":"H41+K41","v":0.192},{"$f":"H41+I41+K41","v":0.24199999999999999},{"$f":"(H41+I41+K41)/D41","v":0.54382022471910108},null,null,0.28799999999999998,0.23400000000000001,5.3999999999999965E-2,0.42499999999999999,0.19099999999999998]
["Spain",2017,2015,0.50700000000000001,0.37,0.33300000000000002,null,0.13700000000000001,3.6999999999999977E-2,null,{"$f":"0.31-0.248","v":6.2E-2},{"$f":"H42+K42","v":0.19900000000000001},{"$f":"H42+I42+K42","v":0.23599999999999999},{"$f":"(H42+I42+K42)/D42","v":0.46548323471400394},null,null,0.37,0.33200000000000002,3.7999999999999978E-2,0.48699999999999999,0.15499999999999997]
["Sweden",2017,2015,0.434,0.312,0.28199999999999997,null,0.122,3.0000000000000027E-2,null,{"$f":"0.237-0.181","v":5.5999999999999994E-2},{"$f":"H43+K43","v":0.17799999999999999},{"$f":"H43+I43+K43","v":0.20800000000000002},{"$f":"(H43+I43+K43)/D43","v":0.47926267281105994},null,null,0.35699999999999998,0.27,8.6999999999999966E-2,0.57099999999999995,0.30099999999999993]
["Switzerland",2015,2014,0.38600000000000001,0.29299999999999998,0.29599999999999999,null,9.3000000000000027E-2,-3.0000000000000027E-3,null,null,null,null,null,null,null,0.35599999999999998,0.29699999999999999,5.8999999999999997E-2,0.52400000000000002,0.22700000000000004]
["Turkey",2015,"no pre-tax data",0.42899999999999999,"NA",0.40400000000000003,null,"COMBINED = ",{"$f":"D45-F45","v":2.4999999999999967E-2},null,null,null,null,null,null,2013,0.44,0.43,1.0000000000000009E-2,0.51500000000000001,8.500000000000002E-2,2017]
["United Kingdom",2017,2015,0.50600000000000001,0.39200000000000002,0.35699999999999998,null,{"$f":"D46-E46","v":0.11399999999999999},{"$f":"E46-F46","v":3.5000000000000031E-2},null,{"$f":"0.33-0.252","v":7.8000000000000014E-2},{"$f":"H46+K46","v":0.192},{"$f":"H46+I46+K46","v":0.22700000000000004},{"$f":"(H46+I46+K46)/D46","v":0.44861660079051391},null,null,0.41199999999999998,0.34200000000000003,6.9999999999999951E-2,0.54600000000000004,0.20400000000000001]
["United States",2017,2015,0.505,0.434,0.39,null,{"$f":"D47-E47","v":7.1000000000000008E-2},{"$f":"E47-F47","v":4.3999999999999984E-2},null,{"$f":"0.372-0.303","v":6.9000000000000006E-2},{"$f":"H47+K47","v":0.14000000000000001},{"$f":"H47+I47+K47","v":0.184},{"$f":"(H47+I47+K47)/D47","v":0.36435643564356435}]
[]
["Countries not included on Summary CRI-1 or 2 - include this time?"]
["Brazil",2013,2013,0.57499999999999996,0.49399999999999999,0.47,null,{"$f":"D50-E50","v":8.0999999999999961E-2},2.4000000000000021E-2,null,null,{"$f":"H50+K50","v":8.0999999999999961E-2},{"$f":"H50+I50+K50","v":0.10499999999999998},{"$f":"(H50+I50+K50)/D50","v":0.18260869565217389},null,null,null,null,null,null,{"$f":"T50-R50","v":0}]
["Costa Rica",2019,"-",0.53200000000000003,0.48699999999999999,0.47799999999999998,null,4.500000000000004E-2,9.000000000000008E-3,null,null,{"$f":"H51+K51","v":4.500000000000004E-2},{"$f":"H51+I51+K51","v":5.4000000000000048E-2},{"$f":"(H51+I51+K51)/D51","v":0.10150375939849633}]
["China",2011,2011,0.54800000000000004,"NA",0.51400000000000001,null,"COMBINED = ",{"$f":"D52-F52","v":3.400000000000003E-2},null,null,null,null,null,null,null,null,null,null,null,{"$f":"T52-R52","v":0}]
["India",2011,2011,0.50800000000000001,0.495,0.495,null,1.3000000000000012E-2,0,null,null,{"$f":"H53+K53","v":1.3000000000000012E-2},{"$f":"H53+I53+K53","v":1.3000000000000012E-2},{"$f":"(H53+I53+K53)/D53","v":2.5590551181102386E-2},null,null,null,null,null,null,0]
["Russia",2016,2011,0.44600000000000001,0.34,0.33100000000000002,null,0.10599999999999998,9.000000000000008E-3,null,null,{"$f":"H54+K54","v":0.10599999999999998},{"$f":"H54+I54+K54","v":0.11499999999999999},{"$f":"(H54+I54+K54)/D54","v":0.25784753363228696},null,null,null,null,null,null,0]
["South Africa",2015,2015,0.71499999999999997,0.64800000000000002,0.62,null,6.6999999999999948E-2,2.8000000000000025E-2,null,null,{"$f":"H55+K55","v":6.6999999999999948E-2},{"$f":"H55+I55+K55","v":9.4999999999999973E-2},{"$f":"(H55+I55+K55)/D55","v":0.13286713286713284},null,null,null,null,null,null,0]

{"sheet":"Source_CEQ_Incidence","index":54,"n_rows":25,"n_cols":11,"rows_kept":25,"cut":false,"hidden":false,"merged":[[15,2,15,9],[0,7,0,10],[1,0,2,0],[1,1,2,1],[1,2,1,10],[4,2,4,5],[4,6,4,7],[5,2,5,9],[7,2,7,9],[8,6,8,7],[9,2,9,5],[9,6,9,7],[22,2,22,9],[16,3,16,4],[16,6,16,7],[18,3,18,4],[18,6,18,7],[20,3,20,4],[21,3,21,4]]}
["CEQ RECENT INCIDENCE RESULTS",null,"NEW DATA SINCE 2018 CRI",null,null,null,null,"Source"]
["Country","CEQ","ALL Tax & Transfer (=SP spending) Incidence FROM OECD STAT IDD"]
[null,null,"Direct taxes","VAT","Customs and Excise","Total \nTaxes","Education \nspending","Health spending","Soc Prot spending","Total Spending","TOTAL FISCAL IMPACT"]
["Benin",2018,-8.9999999999999993E-3,1E-3,-1E-4,{"$f":"C4+D4+E4","v":-8.0999999999999996E-3},-6.2700000000000006E-2,-8.0000000000000002E-3,-0.02,{"$f":"G4+H4+I4","v":-9.0700000000000017E-2},{"$f":"E4+J4","v":-9.080000000000002E-2}]
["Botswana",2018,"only discusses ed and health spending",null,null,null,-0.03,null,null,"na","na"]
["Cameroon",2018,"IMF report - no data",null,null,null,null,null,null,null,"na"]
["Comoros",2017,-3.5999999999999997E-2,-0.01,-6.0000000000000001E-3,{"$f":"C7+D7+E7","v":-5.1999999999999998E-2},-0.21099999999999999,-1.7000000000000001E-2,0,{"$f":"G7+H7+I7","v":-0.22799999999999998},{"$f":"E7+J7","v":-0.23399999999999999}]
["Cote d'Ivoire",2019,"no data though says overall zero fiscal impact",null,null,null,null,null,null,null,"na"]
["Egypt",2019,-3.0000000000000001E-3,-1E-3,3.0000000000000001E-3,{"$f":"C9+D9+E9","v":-1E-3},-1.7999999999999999E-2,null,-1.4999999999999999E-2,{"$f":"G9+H9+I9","v":-3.3000000000000002E-2},-3.0000000000000002E-2]
["Eswatini","2018 and 2020","IMF report - shows only spending",null,null,null,-3.5999999999999997E-2,null,-1.4999999999999999E-2,{"$f":"G10+I10","v":-5.0999999999999997E-2},"na"]
["Guinea",2019,-2E-3,1.2999999999999999E-3,5.9999999999999995E-4,{"$f":"C11+D11+E11","v":-1.0000000000000015E-4},-1.4E-3,-1.4E-3,-2.9999999999999997E-4,{"$f":"G11+H11+I11","v":-3.0999999999999999E-3},-2.5000000000000001E-3]
["Kenya",2018,-2.1999999999999999E-2,-5.0000000000000001E-3,-3.0000000000000001E-3,{"$f":"C12+D12+E12","v":-0.03},-3.1E-2,"na",-4.0000000000000001E-3,"na","na"]
["Mali",2019,-5.1000000000000004E-3,-4.4999999999999997E-3,-1.6999999999999999E-3,{"$f":"C13+D13+E13","v":-1.1300000000000001E-2},-6.4999999999999997E-3,-3.8E-3,-2.0000000000000001E-4,-1.0500000000000001E-2,-1.2200000000000001E-2]
["Mongolia",2018,-1.0999999999999999E-2,8.0000000000000002E-3,0,{"$f":"C14+D14+E14","v":-2.9999999999999992E-3},-1.9E-2,-5.0000000000000001E-3,-6.8000000000000005E-2,-9.1999999999999998E-2,-9.1999999999999998E-2]
["Niger",2019,-9.7000000000000003E-3,-1.9E-3,2.9999999999999997E-4,{"$f":"C15+D15+E15","v":-1.1300000000000001E-2},-4.8999999999999998E-3,-3.0999999999999999E-3,0,-8.0000000000000002E-3,-7.7000000000000002E-3]
["Nigeria",2018,"IMF report - no data",null,null,null,null,null,null,null,"na"]
["Panama","2017 and 2018",-5.4000000000000003E-3,-5.1000000000000004E-3,null,{"$f":"C17+D17","v":-1.0500000000000001E-2},"na",null,-1.34E-2,"na","na"]
["Romania",2018,-1.2500000000000001E-2,-5.0000000000000001E-3,-1E-3,{"$f":"C18+D18+E18","v":-1.8500000000000003E-2},-1.4999999999999999E-2,-1.4999999999999999E-2,-2.5000000000000001E-2,-5.5E-2,-5.6000000000000001E-2]
["Senegal",2018,-0.01,-6.0000000000000001E-3,null,{"$f":"C19+D19","v":-1.6E-2},-1.7999999999999999E-2,null,-0.01,-2.7999999999999997E-2,-2.7999999999999997E-2]
["Togo",2018,-5.0000000000000001E-3,-5.4999999999999997E-3,-5.0000000000000001E-4,-1.0999999999999999E-2,-2.1000000000000001E-2,-4.0000000000000001E-3,-0.02,-4.4999999999999998E-2,-4.5499999999999999E-2]
["Ukraine",2019,-0.02,7.0000000000000001E-3,null,{"$f":"C21+D21","v":-1.3000000000000001E-2},-0.02,-4.0000000000000001E-3,-0.17,-0.19400000000000001,-0.19400000000000001]
["Vietnam",2016,-5.0000000000000001E-3,3.0000000000000001E-3,null,{"$f":"C22+D22","v":-2E-3},-2.4E-2,-7.0000000000000001E-3,-2E-3,-3.3000000000000002E-2,-3.3000000000000002E-2]
["Zambia",2017,"no data - only analysed VAT and cash transfer simulations",null,null,null,null,null,null,null,"na"]
[]
["http://commitmentoequity.org/",null,"individual country pages"]

{"sheet":"Source_WB_Country_Income","index":55,"n_rows":272,"n_cols":8,"rows_kept":272,"cut":false,"hidden":false,"merged":[[273,0,273,7],[277,0,277,7],[279,0,279,7]]}
["World Bank list of economies (June 2019)"]
[]
["(Bold indicates a change of classification)"]
[]
["Economy","Code","X","Region","Income group","CRI Income Group","Lending category","Other"]
["Afghanistan","AFG",null,"South Asia","Low income","LIC","IDA","HIPC"]
["Albania","ALB",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Algeria","DZA",null,"Middle East & North Africa","Upper middle income","UMIC","IBRD",""]
["American Samoa","ASM",null,"East Asia & Pacific","Upper middle income","UMIC","..",""]
["Andorra","AND",null,"Europe & Central Asia","High income","HIC","..",""]
["Angola","AGO",null,"Sub-Saharan Africa","Lower middle income","LMIC","IBRD"]
["Antigua and Barbuda","ATG",null,"Latin America & Caribbean","High income","HIC","IBRD",""]
["Argentina","ARG",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Armenia","ARM",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Aruba","ABW",null,"Latin America & Caribbean","High income","HIC","..",""]
["Australia","AUS",null,"East Asia & Pacific","High income","HIC","..",""]
["Austria","AUT",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Azerbaijan","AZE",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Bahamas, The","BHS",null,"Latin America & Caribbean","High income","HIC","..",""]
["Bahrain","BHR",null,"Middle East & North Africa","High income","HIC",".."]
["Bangladesh","BGD",null,"South Asia","Lower middle income","LMIC","IDA",""]
["Barbados","BRB",null,"Latin America & Caribbean","High income","HIC","..",""]
["Belarus","BLR",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Belgium","BEL",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Belize","BLZ",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Benin","BEN",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Bermuda","BMU",null,"North America","High income","HIC","..",""]
["Bhutan","BTN",null,"South Asia","Lower middle income","LMIC","IDA",""]
["Bolivia","BOL",null,"Latin America & Caribbean","Lower middle income","LMIC","IBRD","HIPC"]
["Bosnia and Herzegovina","BIH",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Botswana","BWA",null,"Sub-Saharan Africa","Upper middle income","UMIC","IBRD",""]
["Brazil","BRA",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["British Virgin Islands","VGB",null,"Latin America & Caribbean","High income","HIC",".."]
["Brunei Darussalam","BRN",null,"East Asia & Pacific","High income","HIC","..",""]
["Bulgaria","BGR",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Burkina Faso","BFA",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Burundi","BDI",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Cabo Verde","CPV",null,"Sub-Saharan Africa","Lower middle income","LMIC","Blend",""]
["Cambodia","KHM",null,"East Asia & Pacific","Lower middle income","LMIC","IDA",""]
["Cameroon","CMR",null,"Sub-Saharan Africa","Lower middle income","LMIC","Blend","HIPC"]
["Canada","CAN",null,"North America","High income","HIC","..",""]
["Cayman Islands","CYM",null,"Latin America & Caribbean","High income","HIC","..",""]
["Central African Republic","CAF",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Chad","TCD",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Channel Islands","CHI",null,"Europe & Central Asia","High income","HIC","..",""]
["Chile","CHL",null,"Latin America & Caribbean","High income","HIC","IBRD",""]
["China","CHN",null,"East Asia & Pacific","Upper middle income","UMIC","IBRD",""]
["Colombia","COL",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Comoros","COM",null,"Sub-Saharan Africa","Lower middle income","LMIC","IDA","HIPC"]
["Congo, Dem. Rep.","COD",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Congo, Rep.","COG",null,"Sub-Saharan Africa","Lower middle income","LMIC","Blend","HIPC"]
["Costa Rica","CRI",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Cote d'Ivoire","CIV",null,"Sub-Saharan Africa","Lower middle income","LMIC","IDA","HIPC"]
["Croatia","HRV",null,"Europe & Central Asia","High income","HIC","IBRD",""]
["Cuba","CUB",null,"Latin America & Caribbean","Upper middle income","UMIC","..",""]
["Curaçao","CUW",null,"Latin America & Caribbean","High income","HIC",".."]
["Cyprus","CYP",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Czech Republic","CZE",null,"Europe & Central Asia","High income","HIC","..",""]
["Denmark","DNK",null,"Europe & Central Asia","High income","HIC","..",""]
["Djibouti","DJI",null,"Middle East & North Africa","Lower middle income","LMIC","IDA",""]
["Dominica","DMA",null,"Latin America & Caribbean","Upper middle income","UMIC","Blend",""]
["Dominican Republic","DOM",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Ecuador","ECU",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Egypt, Arab Rep.","EGY",null,"Middle East & North Africa","Lower middle income","LMIC","IBRD",""]
["El Salvador","SLV",null,"Latin America & Caribbean","Lower middle income","LMIC","IBRD",""]
["Equatorial Guinea","GNQ",null,"Sub-Saharan Africa","Upper middle income","UMIC","IBRD",""]
["Eritrea","ERI",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Estonia","EST",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Ethiopia","ETH",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Faroe Islands","FRO",null,"Europe & Central Asia","High income","HIC","..",""]
["Fiji","FJI",null,"East Asia & Pacific","Upper middle income","UMIC","Blend",""]
["Finland","FIN",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["France","FRA",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["French Polynesia","PYF",null,"East Asia & Pacific","High income","HIC","..",""]
["Gabon","GAB",null,"Sub-Saharan Africa","Upper middle income","UMIC","IBRD",""]
["Gambia, The","GMB",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Georgia","GEO",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Germany","DEU",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Ghana","GHA",null,"Sub-Saharan Africa","Lower middle income","LMIC","IDA","HIPC"]
["Gibraltar","GIB",null,"Europe & Central Asia","High income","HIC",".."]
["Greece","GRC",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Greenland","GRL",null,"Europe & Central Asia","High income","HIC","..",""]
["Grenada","GRD",null,"Latin America & Caribbean","Upper middle income","UMIC","Blend",""]
["Guam","GUM",null,"East Asia & Pacific","High income","HIC","..",""]
["Guatemala","GTM",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Guinea","GIN",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Guinea-Bissau","GNB",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Guyana","GUY",null,"Latin America & Caribbean","Upper middle income","UMIC","IDA","HIPC"]
["Haiti","HTI",null,"Latin America & Caribbean","Low income","LIC","IDA","HIPC"]
["Honduras","HND",null,"Latin America & Caribbean","Lower middle income","LMIC","IDA","HIPC"]
["Hong Kong SAR, China","HKG",null,"East Asia & Pacific","High income","HIC","..",""]
["Hungary","HUN",null,"Europe & Central Asia","High income","HIC","..",""]
["Iceland","ISL",null,"Europe & Central Asia","High income","HIC","..",""]
["India","IND",null,"South Asia","Lower middle income","LMIC","IBRD",""]
["Indonesia","IDN",null,"East Asia & Pacific","Lower middle income","LMIC","IBRD",""]
["Iran, Islamic Rep.","IRN",null,"Middle East & North Africa","Upper middle income","UMIC","IBRD",""]
["Iraq","IRQ",null,"Middle East & North Africa","Upper middle income","UMIC","IBRD",""]
["Ireland","IRL",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Isle of Man","IMN",null,"Europe & Central Asia","High income","HIC","..",""]
["Israel","ISR",null,"Middle East & North Africa","High income","HIC","..",""]
["Italy","ITA",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Jamaica","JAM",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Japan","JPN",null,"East Asia & Pacific","High income","HIC","..",""]
["Jordan","JOR",null,"Middle East & North Africa","Upper middle income","UMIC","IBRD",""]
["Kazakhstan","KAZ",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Kenya","KEN",null,"Sub-Saharan Africa","Lower middle income","LMIC","Blend"]
["Kiribati","KIR",null,"East Asia & Pacific","Lower middle income","LMIC","IDA",""]
["Korea, Dem. People's Rep.","PRK",null,"East Asia & Pacific","Low income","LIC","..",""]
["Korea, Rep.","KOR",null,"East Asia & Pacific","High income","HIC","..",""]
["Kosovo","XKX",null,"Europe & Central Asia","Upper middle income","UMIC","IDA"]
["Kuwait","KWT",null,"Middle East & North Africa","High income","HIC","..",""]
["Kyrgyz Republic","KGZ",null,"Europe & Central Asia","Lower middle income","LMIC","IDA"]
["Lao PDR","LAO",null,"East Asia & Pacific","Lower middle income","LMIC","IDA"]
["Latvia","LVA",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Lebanon","LBN",null,"Middle East & North Africa","Upper middle income","UMIC","IBRD",""]
["Lesotho","LSO",null,"Sub-Saharan Africa","Lower middle income","LMIC","IDA",""]
["Liberia","LBR",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Libya","LBY",null,"Middle East & North Africa","Upper middle income","UMIC","IBRD",""]
["Liechtenstein","LIE",null,"Europe & Central Asia","High income","HIC","..",""]
["Lithuania","LTU",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Luxembourg","LUX",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Macao SAR, China","MAC",null,"East Asia & Pacific","High income","HIC","..",""]
["North Macedonia","MKD",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Madagascar","MDG",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Malawi","MWI",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Malaysia","MYS",null,"East Asia & Pacific","Upper middle income","UMIC","IBRD",""]
["Maldives","MDV",null,"South Asia","Upper middle income","UMIC","IDA"]
["Mali","MLI",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Malta","MLT",null,"Middle East & North Africa","High income","HIC","..","EMU"]
["Marshall Islands","MHL",null,"East Asia & Pacific","Upper middle income","UMIC","IDA",""]
["Mauritania","MRT",null,"Sub-Saharan Africa","Lower middle income","LMIC","IDA","HIPC"]
["Mauritius","MUS",null,"Sub-Saharan Africa","Upper middle income","UMIC","IBRD",""]
["Mexico","MEX",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Micronesia, Fed. Sts.","FSM",null,"East Asia & Pacific","Lower middle income","LMIC","IDA",""]
["Moldova","MDA",null,"Europe & Central Asia","Lower middle income","LMIC","Blend",""]
["Monaco","MCO",null,"Europe & Central Asia","High income","HIC","..",""]
["Mongolia","MNG",null,"East Asia & Pacific","Lower middle income","LMIC","Blend",""]
["Montenegro","MNE",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Morocco","MAR",null,"Middle East & North Africa","Lower middle income","LMIC","IBRD",""]
["Mozambique","MOZ",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Myanmar","MMR",null,"East Asia & Pacific","Lower middle income","LMIC","IDA"]
["Namibia","NAM",null,"Sub-Saharan Africa","Upper middle income","UMIC","IBRD",""]
["Nauru","NRU",null,"East Asia & Pacific","Upper middle income","UMIC","IBRD"]
["Nepal","NPL",null,"South Asia","Low income","LIC","IDA"]
["Netherlands","NLD",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["New Caledonia","NCL",null,"East Asia & Pacific","High income","HIC","..",""]
["New Zealand","NZL",null,"East Asia & Pacific","High income","HIC","..",""]
["Nicaragua","NIC",null,"Latin America & Caribbean","Lower middle income","LMIC","IDA","HIPC"]
["Niger","NER",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Nigeria","NGA",null,"Sub-Saharan Africa","Lower middle income","LMIC","Blend",""]
["Northern Mariana Islands","MNP",null,"East Asia & Pacific","High income","HIC","..",""]
["Norway","NOR",null,"Europe & Central Asia","High income","HIC","..",""]
["Occupied Palestinian Territory","PSE",null,"Middle East & North Africa","Lower middle income","LMIC","..",""]
["Oman","OMN",null,"Middle East & North Africa","High income","HIC","..",""]
["Pakistan","PAK",null,"South Asia","Lower middle income","LMIC","Blend",""]
["Palau","PLW",null,"East Asia & Pacific","High income","HIC","IBRD",""]
["Panama","PAN",null,"Latin America & Caribbean","High income","HIC","IBRD",""]
["Papua New Guinea","PNG",null,"East Asia & Pacific","Lower middle income","LMIC","Blend",""]
["Paraguay","PRY",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Peru","PER",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Philippines","PHL",null,"East Asia & Pacific","Lower middle income","LMIC","IBRD",""]
["Poland","POL",null,"Europe & Central Asia","High income","HIC","IBRD",""]
["Portugal","PRT",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Puerto Rico","PRI",null,"Latin America & Caribbean","High income","HIC","..",""]
["Qatar","QAT",null,"Middle East & North Africa","High income","HIC","..",""]
["Romania","ROU",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Russian Federation","RUS",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Rwanda","RWA",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Samoa","WSM",null,"East Asia & Pacific","Upper middle income","UMIC","IDA",""]
["San Marino","SMR",null,"Europe & Central Asia","High income","HIC","..",""]
["Sao Tome and Principe","STP",null,"Sub-Saharan Africa","Lower middle income","LMIC","IDA","HIPC"]
["Saudi Arabia","SAU",null,"Middle East & North Africa","High income","HIC","..",""]
["Senegal","SEN",null,"Sub-Saharan Africa","Lower middle income","LMIC","IDA","HIPC"]
["Serbia","SRB",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Seychelles","SYC",null,"Sub-Saharan Africa","High income","HIC","IBRD",""]
["Sierra Leone","SLE",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Singapore","SGP",null,"East Asia & Pacific","High income","HIC","..",""]
["Sint Maarten (Dutch part)","SXM",null,"Latin America & Caribbean","High income","HIC",".."]
["Slovak Republic","SVK",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Slovenia","SVN",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Solomon Islands","SLB",null,"East Asia & Pacific","Lower middle income","LMIC","IDA",""]
["Somalia","SOM",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["South Africa","ZAF",null,"Sub-Saharan Africa","Upper middle income","UMIC","IBRD",""]
["South Sudan","SSD",null,"Sub-Saharan Africa","Low income","LIC","IDA"]
["Spain","ESP",null,"Europe & Central Asia","High income","HIC","..","EMU"]
["Sri Lanka","LKA",null,"South Asia","Upper middle income","UMIC","IBRD",""]
["St. Kitts and Nevis","KNA",null,"Latin America & Caribbean","High income","HIC","IBRD",""]
["St. Lucia","LCA",null,"Latin America & Caribbean","Upper middle income","UMIC","Blend",""]
["St. Martin (French part)","MAF",null,"Latin America & Caribbean","High income","HIC",".."]
["St. Vincent and the Grenadines","VCT",null,"Latin America & Caribbean","Upper middle income","UMIC","Blend",""]
["Sudan","SDN",null,"Sub-Saharan Africa","Lower middle income","LMIC","IDA","HIPC"]
["Suriname","SUR",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Eswatini","SWZ",null,"Sub-Saharan Africa","Lower middle income","LMIC","IBRD",""]
["Sweden","SWE",null,"Europe & Central Asia","High income","HIC","..",""]
["Switzerland","CHE",null,"Europe & Central Asia","High income","HIC","..",""]
["Syrian Arab Republic","SYR",null,"Middle East & North Africa","Low income","LIC","IDA",""]
["Taiwan, China","TWN",null,"East Asia & Pacific","High income","HIC",".."]
["Tajikistan","TJK",null,"Europe & Central Asia","Low income","LIC","IDA",""]
["Tanzania","TZA",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Thailand","THA",null,"East Asia & Pacific","Upper middle income","UMIC","IBRD",""]
["Timor-Leste","TLS",null,"East Asia & Pacific","Lower middle income","LMIC","Blend"]
["Togo","TGO",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Tonga","TON",null,"East Asia & Pacific","Upper middle income","UMIC","IDA",""]
["Trinidad and Tobago","TTO",null,"Latin America & Caribbean","High income","HIC","IBRD",""]
["Tunisia","TUN",null,"Middle East & North Africa","Lower middle income","LMIC","IBRD",""]
["Turkey","TUR",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Turkmenistan","TKM",null,"Europe & Central Asia","Upper middle income","UMIC","IBRD",""]
["Turks and Caicos Islands","TCA",null,"Latin America & Caribbean","High income","HIC",".."]
["Tuvalu","TUV",null,"East Asia & Pacific","Upper middle income","UMIC","IDA"]
["Uganda","UGA",null,"Sub-Saharan Africa","Low income","LIC","IDA","HIPC"]
["Ukraine","UKR",null,"Europe & Central Asia","Lower middle income","LMIC","IBRD",""]
["United Arab Emirates","ARE",null,"Middle East & North Africa","High income","HIC","..",""]
["United Kingdom","GBR",null,"Europe & Central Asia","High income","HIC","..",""]
["United States","USA",null,"North America","High income","HIC","..",""]
["Uruguay","URY",null,"Latin America & Caribbean","High income","HIC","IBRD",""]
["Uzbekistan","UZB",null,"Europe & Central Asia","Lower middle income","LMIC","Blend",""]
["Vanuatu","VUT",null,"East Asia & Pacific","Lower middle income","LMIC","IDA",""]
["Venezuela, RB","VEN",null,"Latin America & Caribbean","Upper middle income","UMIC","IBRD",""]
["Vietnam","VNM",null,"East Asia & Pacific","Lower middle income","LMIC","IBRD"]
["Virgin Islands (U.S.)","VIR",null,"Latin America & Caribbean","High income","HIC","..",""]
["Yemen, Rep.","YEM",null,"Middle East & North Africa","Low income","LIC","IDA"]
["Zambia","ZMB",null,"Sub-Saharan Africa","Lower middle income","LMIC","IDA","HIPC"]
["Zimbabwe","ZWE",null,"Sub-Saharan Africa","Lower middle income","LMIC","Blend",""]
["x","x","x","x","x",null,"x","x"]
[]
[]
["Arab World","ARB"]
["Caribbean small states","CSS"]
["Central Europe and the Baltics","CEB"]
["Early-demographic dividend","EAR"]
["East Asia & Pacific","EAS"]
["East Asia & Pacific (excluding high income)","EAP"]
["East Asia & Pacific (IDA & IBRD)","TEA"]
["Euro area","EMU"]
["Europe & Central Asia","ECS"]
["Europe & Central Asia (excluding high income)","ECA"]
["Europe & Central Asia (IDA & IBRD)","TEC"]
["European Union","EUU"]
["Fragile and conflict affected situations","FCS"]
["Heavily indebted poor countries (HIPC)","HPC"]
["High income","HIC"]
["IBRD only","IBD"]
["IDA & IBRD total","IBT"]
["IDA blend","IDB"]
["IDA only","IDX"]
["IDA total","IDA"]
["Late-demographic dividend","LTE"]
["Latin America & Caribbean","LCN"]
["Latin America & Caribbean (excluding high income)","LAC"]
["Latin America & Caribbean (IDA & IBRD)","TLA"]
["Least developed countries: UN classification","LDC"]
["Low & middle income","LMY"]
["Low income","LIC"]
["Lower middle income","LMC"]
["Middle East & North Africa","MEA"]
["Middle East & North Africa (excluding high income)","MNA"]
["Middle East & North Africa (IDA & IBRD)","TMN"]
["Middle income","MIC"]
["North America","NAC"]
["OECD members","OED"]
["Other small states","OSS"]
["Pacific island small states","PSS"]
["Post-demographic dividend","PST"]
["Pre-demographic dividend","PRE"]
["Small states","SST"]
["South Asia","SAS"]
["South Asia (IDA & IBRD)","TSA"]
["Sub-Saharan Africa","SSF"]
["Sub-Saharan Africa (excluding high income)","SSA"]
["Sub-Saharan Africa (IDA & IBRD)","TSS"]
["Upper middle income","UMC"]
["World","WLD"]