diff --git a/data/cleaned/UNU-WIDER-WIID/WIID-30JUN2022_companion-cty-select.csv b/data/cleaned/UNU-WIDER-WIID/WIID-30JUN2022_companion-cty-select.csv
new file mode 100644
index 0000000..944f4ac
--- /dev/null
+++ b/data/cleaned/UNU-WIDER-WIID/WIID-30JUN2022_companion-cty-select.csv
@@ -0,0 +1,37 @@
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+5678,Djibouti,DJ,DJI,2012,Middle East and North Africa,Africa,Eastern Africa,Non-EU,Lower middle income,868136,1,1,3924.9117139237737,46.480000000000004,46.2932255811633,82.47454027620532,41.35366553020832,39.12160857638515,58.02028526049268,10.772212888770133,9.365242546457075,18.01297548681768,26.12395782062294,33.86927064824522,62.25689864954311,2.6415094339622645,10.654545454545458,0.30928863613688523,3.8411653197645426,13.219594931657191,23.21660181582361,40.92587049785496,51.86072034321061,181.6968233588235,42.279984552014554,1.0675446473111845,2.773620672453358,4.090591639229773,5.287837972662878,6.445176094981544,7.8319864312082235,9.51810835079318,11.912601017659387,16.152848448568296,34.9196847251322,419.00184913682915,1088.6216267293319,1605.5211041691587,2075.4297200235465,2529.6747153494553,3073.9855287141204,3735.7734960423836,4675.59072775116,6339.850408902115,13705.667962419648,0.029931158335827605,0.04988526389304601,0.05986231667165521,0.07981642222887361,0.0897934750074828,0.11972463334331042,0.13967873890052884,0.149655791679138,0.16960989723635642,0.1795869500149656,0.2095181083507932,0.22947221390801162,0.23944926668662084,0.25940337224383925,0.26938042502244847,0.28933453057966685,0.299311583358276,0.30928863613688523,0.32924274169410367,0.33921979447271283,0.34919684725132205,0.36915095280854043,0.37912800558714965,0.38910505836575887,0.40905916392297725,0.4190362167015864,0.4290132694801957,0.43899032225880485,0.4489673750374141,0.45894442781602324,0.4788985333732417,0.48887558615185084,0.49885263893046006,0.5088296917090692,0.5188067444876785,0.5387608500448969,0.5487379028235062,0.5587149556021154,0.5686920083807245,0.5786690611593337,0.5886461139379429,0.598623166716552,0.6185772722737705,0.6285543250523797,0.6385313778309889,0.6485084306095982,0.6584854833882073,0.6784395889454257,0.6884166417240349,0.6983936945026441,0.7183478000598624,0.7283248528384717,0.7482789583956901,0.7582560111742993,0.7782101167315177,0.7881871695101269,0.8081412750673453,0.8181183278459545,0.8380724334031728,0.848049486181782,0.8680035917390005,0.887957697296219,0.9079118028534373,0.9178888556320465,0.937842961189265,0.9577970667464833,0.9777511723037017,0.9977052778609201,1.0176593834181384,1.0475905417539662,1.0775217000897939,1.0974758056470124,1.1174299112042307,1.1473610695400582,1.1673151750972766,1.197246333433104,1.2271774917689318,1.2571086501047595,1.2970168612191963,1.3269480195550238,1.386810336226679,1.4267185473411157,1.4666267584555526,1.5065349695699894,1.5564202334630355,1.6162825501346907,1.6761448668063457,1.7559612890352194,1.835777711264093,1.9255711862715759,2.045295819614886,2.1650204529581965,2.3046991918587256,2.4842861418736915,2.7037813030030935,3.033024044697197,3.4321061558415655,3.9808440586650713,4.878778808739899,7.8918487478798784,117.47715396359698,195.79525660599498,234.95430792719395,313.2724105695919,352.4314618907909,469.9086158543879,548.2267184967859,587.3857698179847,665.7038724603827,704.8629237815818,822.3400777451787,900.6581803875767,939.8172317087758,1018.1353343511738,1057.2943856723728,1135.6124883147706,1174.7715396359695,1213.9305909571685,1292.2486935995666,1331.4077449207655,1370.5667962419645,1448.8848988843627,1488.0439502055617,1527.2030015267608,1605.5211041691587,1644.6801554903575,1683.8392068115568,1722.9982581327556,1762.1573094539547,1801.3163607751535,1879.6344634175516,1918.7935147387504,1957.9525660599495,1997.1116173811483,2036.2706687023476,2114.5887713447455,2153.747822665945,2192.9068739871436,2232.0659253083427,2271.2249766295413,2310.3840279507403,2349.543079271939,2427.861181914337,2467.0202332355366,2506.179284556735,2545.3383358779347,2584.4973871991333,2662.815489841531,2701.9745411627305,2741.133592483929,2819.451695126327,2858.6107464475263,2936.9288490899244,2976.0879004111234,3054.4060030535215,3093.56505437472,3171.8831570171183,3211.0422083383173,3289.360310980715,3328.5193623019136,3406.837464944312,3485.1555675867103,3563.473670229108,3602.632721550307,3680.9508241927056,3759.2689268351032,3837.587029477501,3915.905132119899,3994.2232347622967,4111.700388725894,4229.177542689491,4307.49564533189,4385.813747974287,4503.290901937884,4581.609004580282,4699.086158543878,4816.5633125074755,4934.040466471073,5090.676671755869,5208.153825719466,5443.10813364666,5599.744338931455,5756.380544216251,5913.016749501047,6108.812006107043,6343.7663140342365,6578.72062196143,6891.993032531022,7205.265443100614,7557.696904991405,8027.605520845792,8497.51413670018,9045.740855196967,9750.60377897855,10612.102908044926,11904.351601644494,13470.713654492454,15624.461477158397,19148.776096066304,30974.8095950684,deciles,No,region & income group,None,No
+5679,Djibouti,DJ,DJI,2013,Middle East and North Africa,Africa,Eastern Africa,Non-EU,Lower middle income,883296,1,1,4028.432369528395,45.75,45.56678304239404,60.7865687251238,37.81407201046132,37.74406687183781,56.18167797463946,10.600158298312289,8.982497828803826,17.13840826561355,24.59785951601743,31.48659182576677,54.86817528931991,2.5468521229868224,9.430875576036865,0.4788029925187033,4.329177057356609,13.625935162094766,22.9925187032419,40.82793017456359,51.67082294264339,183.56270378325772,42.70202081104624,1.4164588528678306,2.9127182044887783,4,5.296758104738155,6.493765586034913,7.860349127182046,9.446384039900249,11.790523690773068,16.079800498753116,34.70324189526185,570.6108692997827,1173.368829827722,1611.3729478113582,2133.7631802689057,2615.969548691257,3166.488485973442,3805.411924133058,4749.7327289601635,6477.638882473589,13979.966297844676,0.049875311720698264,0.07980049875311722,0.09975062344139653,0.11970074812967581,0.12967581047381546,0.15960099750623444,0.16957605985037408,0.18952618453865336,0.19950124688279305,0.21945137157107233,0.23940149625935161,0.24937655860349126,0.2593516209476309,0.27930174563591026,0.28927680798004984,0.29925187032418954,0.3092269326683292,0.3192019950124689,0.3291770573566085,0.33915211970074816,0.34912718204488785,0.3591022443890274,0.3690773067331671,0.3790523690773067,0.3990024937655861,0.40897755610972575,0.41895261845386533,0.428927680798005,0.43890274314214467,0.4488778054862843,0.47880299251870323,0.48877805486284287,0.4987531172069825,0.5087281795511222,0.5286783042394015,0.5386533665835411,0.5486284289276808,0.5586034912718205,0.5685785536159602,0.5785536159600997,0.5985037406483791,0.6084788029925187,0.6184538653366584,0.628428927680798,0.6384039900249378,0.658354114713217,0.6683291770573567,0.6783042394014963,0.688279301745636,0.7082294264339152,0.7182044887780548,0.7381546134663342,0.7481296758104738,0.7680798004987531,0.7780548628428928,0.7980049875311722,0.8079800498753118,0.8179551122194515,0.8379052369077307,0.8478802992518704,0.8678304239401496,0.8778054862842893,0.8977556109725686,0.9177057356608479,0.9376558603491273,0.9476309226932669,0.967581047381546,0.9875311720698254,1.0074812967581048,1.0374064837905237,1.0673316708229428,1.087281795511222,1.1072319201995013,1.1271820448877807,1.1571072319201994,1.1870324189526185,1.2169576059850373,1.2468827930174564,1.2768079800498755,1.316708229426434,1.376558603491272,1.4164588528678304,1.456359102244389,1.5062344139650872,1.5561097256857856,1.605985037406484,1.6758104738154613,1.7456359102244388,1.825436408977556,1.915211970074813,2.044887780548628,2.164588528678304,2.3042394014962593,2.4837905236907734,2.7132169576059852,3.0423940149625937,3.43142144638404,3.970074812967581,4.837905236907731,7.710723192019951,200.91932017597983,321.47091228156773,401.83864035195967,482.20636842235155,522.3902324575475,642.9418245631355,683.1256885983314,763.4934166687233,803.6772807039193,884.0450087743112,964.4127368447031,1004.596600879899,1044.780464915095,1125.148192985487,1165.3320570206827,1205.5159210558788,1245.6997850910748,1285.883649126271,1326.0675131614669,1366.2513771966628,1406.435241231859,1446.6191052670545,1486.8029693022506,1526.9868333374466,1607.3545614078387,1647.5384254430346,1687.7222894782303,1727.9061535134263,1768.0900175486224,1808.2738815838184,1928.8254736894062,1969.0093377246021,2009.193201759798,2049.377065794994,2129.7447938653863,2169.928657900582,2210.112521935778,2250.296385970974,2290.48025000617,2330.6641140413653,2411.0318421117577,2451.2157061469534,2491.3995701821495,2531.5834342173457,2571.767298252542,2652.1350263229338,2692.31889035813,2732.5027543933256,2772.686618428522,2853.054346498913,2893.238210534109,2973.6059386045013,3013.7898026396974,3094.1575307100893,3134.341394745285,3214.7091228156773,3254.892986850873,3295.076850886069,3375.4445789564606,3415.628442991657,3495.9961710620487,3536.180035097245,3616.5477631676367,3696.9154912380286,3777.283219308421,3817.4670833436167,3897.834811414008,3978.2025394844004,4058.5702675547923,4179.12185966038,4299.673451765969,4380.04117983636,4460.408907906753,4540.776635977144,4661.328228082731,4781.879820188319,4902.431412293907,5022.983004399495,5143.534596505084,5304.2700526458675,5545.373236857044,5706.108692997826,5866.84414913861,6067.76346931459,6268.68278949057,6469.60210966655,6750.889157912921,7032.176206159293,7353.647118440861,7715.301894757625,8237.69212721517,8719.898495637523,9282.472592130267,10005.782144763796,10930.011017573303,12256.078530734769,13823.24922810741,15993.177886007994,19489.174057070042,31062.12689920648,deciles,No,region & income group,None,No
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+22597,Vietnam,VN,VNM,2018,East Asia and the Pacific,Asia,South-eastern Asia,Non-EU,Lower middle income,95545960,1,1,7585.943155040364,36.410000000000004,36.40864341780634,27.70948543616565,22.4635680793109,23.09788297697444,30.26421630039416,7.780002095166062,5.569481381324614,10.75394876621293,15.59177530734718,20.11928134457546,35.65779039796573,1.5404194168347671,5.653659809762745,1.0522444449016397,6.513077282199343,18.115205224351264,17.71386606409489,36.82272326824919,53.97978090811144,276.1938993196134,59.018653640024674,2.541702864137903,3.9713744180614405,5.210960982987558,6.391166959164364,7.521365780194829,8.671576058999817,10.091832388013895,12.232208558124416,15.462798122778448,27.905013867537306,1928.1213444353411,3012.6620582795595,3953.005380007688,4848.302924659304,5705.665325682379,6578.208304818156,7655.606682566866,9279.283878253007,11729.990757726217,21168.58489397511,0.14521775414386087,0.19336150579253686,0.21991227956807566,0.23875518760922898,0.2549977177879374,0.2701879898403321,0.28434940926546987,0.2978518082929148,0.3117923771278358,0.3252768347097105,0.3402808361662373,0.35335982276187866,0.3660867685343849,0.37852086466340706,0.39071334711634637,0.40325028754967945,0.41600940785556206,0.4286125066359615,0.44108632712389384,0.4534542496540896,0.4677526709821157,0.47979659385040246,0.4917912604614386,0.5037516088146865,0.5156913626914926,0.5274037858088072,0.5389001283097968,0.5504109260258218,0.561946386295702,0.573516259747295,0.5884457035788999,0.59987166248304,0.611358193678998,0.6229137999267892,0.6345468689675476,0.6456455925244082,0.6561313429832341,0.6667076389282277,0.6773825514719027,0.6881636046213161,0.7020017360205072,0.7131311701031251,0.7243915051766345,0.7357910325092304,0.7473383019572996,0.7584333840742902,0.7689289553553277,0.7795781837107345,0.790391965818402,0.8013795454692784,0.81199701296931,0.8236253398010764,0.8354626781224987,0.847520651979641,0.8598115740766505,0.8723706351570527,0.8852176011277915,0.8983401264759857,0.9117540462132809,0.9254763930765282,0.9390808892115219,0.9530638788038713,0.9674042386397571,0.9821242872222046,0.9972482209536807,1.0135460628162265,1.0314881494794523,1.0499918159813717,1.0690824722599044,1.0888023726459042,1.1144621492414029,1.1364242567975156,1.1592016463245791,1.18286072144005,1.2074758450743246,1.2327203105650764,1.2583018104330799,1.285052687743633,1.313107642174774,1.3426014883299793,1.369731675523667,1.4013898686508746,1.4349650086295218,1.470700763405243,1.5088887309870274,1.5507109762872544,1.5984748072236803,1.6505128274129157,1.7073845820661595,1.7700388825921054,1.848476056823025,1.9227201001492982,2.009058811812748,2.1301050260218486,2.2807878086354973,2.5256326991222164,2.801205786363086,3.1862297260382726,3.7775809527993878,5.423216899771927,1101.6136280379558,1466.8293913151927,1668.2420518987665,1811.1832811746085,1934.3981918043182,2049.630732103383,2157.0584548571624,2259.4868863360316,2365.23924906667,2467.5315777593246,2581.3510799066794,2680.5675287467498,2777.113415914263,2871.437762333333,2963.9292411401575,3059.0337586055493,3155.823719954296,3251.430110879765,3346.0558040273972,3439.8781612874054,3548.3451726886283,3639.709686931142,3730.700546006123,3821.4310687283423,3912.0053629229665,4000.8551388986953,4088.0657396020774,4175.385996745011,4262.893342619549,4350.661744934344,4463.915657177267,4550.592331915901,4637.728504617036,4725.388676734809,4813.636477196663,4897.8307631925145,4977.375070111106,5057.606249940712,5138.585529682058,5220.369986024976,5325.345264191219,5409.772518489727,5495.192780264078,5581.668946603479,5669.265876232465,5753.432538472461,5833.0513455900855,5913.835786539246,5995.868522899004,6079.219677542031,6159.763182447759,6247.97500878177,6337.772384395061,6429.243488640304,6522.4817249912485,6617.754048427859,6715.210401996621,6814.757133338599,6916.5143659519945,7020.611309210334,7123.814243543363,7229.888407728447,7338.673562266301,7450.33901405218,7565.068315619755,7688.702817538864,7824.810467048904,7965.178229292288,8109.998862613652,8259.592905964904,8454.246512589392,8620.849812074946,8793.637794247463,8973.114193174253,9159.843121818152,9351.346202010373,9545.40600582972,9748.336640455036,9961.15992998692,10184.898570343812,10390.706628180731,10630.863881635018,10885.562984935557,11156.652389266641,11446.344140548581,11763.605316012257,12125.939022362943,12520.696485419327,12952.122383346235,13427.414345554876,14022.434290512629,14585.645382786091,15240.605941544443,16158.85564166752,17301.926665017963,19159.306086052296,21249.787860920515,24170.55758062617,28656.514371499372,41140.21511912408,deciles,yes,none,None,No
diff --git a/data/cleaned/UNU-WIDER-WIID/WIID-30JUN2022_cty-select.csv b/data/cleaned/UNU-WIDER-WIID/WIID-30JUN2022_cty-select.csv
new file mode 100644
index 0000000..8e0a08e
--- /dev/null
+++ b/data/cleaned/UNU-WIDER-WIID/WIID-30JUN2022_cty-select.csv
@@ -0,0 +1,260 @@
+id,country,c3,c2,year,gini,ge0,ge1,ge2,a025,a050,a075,a1,a2,palma,ratio_top20bottom20,bottom40,q1,q2,q3,q4,q5,d1,d2,d3,d4,d5,d6,d7,d8,d9,d10,bottom5,top5,resource,resource_detailed,scale,scale_detailed,sharing_unit,reference_unit,areacovr,areacovr_detailed,popcovr,popcovr_detailed,region_un,region_un_sub,region_wb,eu,oecd,incomegroup,mean,median,currency,reference_period,exchangerate,mean_usd,median_usd,gdp,population,revision,quality,quality_score,source,source_detailed,source_comments,survey,link,wiidcompanion
+1690,Benin,BEN,BJ,1959,37.6,,,,,,,,,,,,6.1000000000000005,,,,,,,,,,,,,,,,32,Income (net/gross),"Income, net/gross",,,,Person,All,All,All,All,Africa,Western Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Lower middle income,,,,,,,,1750016,2400129,,Low,6,Research study,Cromwell 1977,Adelman and Morris 1972,,,No
+1691,Benin,BEN,BJ,1959,41.4,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Earnings,Primary income,,,,Person,All,All,Economically active,Economically active,Africa,Western Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Lower middle income,,,,,,,,1750016,2400129,,Low,3,Research study,Lecaillon et al. 1984,,,,No
+1692,Benin,BEN,BJ,1959,42,,,,,,,,,,6.25,18,8,10,12,20,50,,,,,,,,,,,,32,Income (gross),"Income, gross",,,,Person,All,All,All,All,Africa,Western Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Lower middle income,,,,,,,,1750016,2400129,,Low,9,Research study,Paukert 1973,Adelman and Morris 1972,,,Yes
+1693,Benin,BEN,BJ,2003,38.58,,,,,,,,,1.74,6.63,17.88,6.97,10.91,14.99,20.92,46.21,2.86,4.12,5.03,5.88,6.93,8.06,9.47,11.450000000000001,15.09,31.12,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Western Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Lower middle income,909,680,US$2011PPP,Year,,,,2579698,7520556,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),,QUIBB,https://pip.worldbank.org/,Yes
+1694,Benin,BEN,BJ,2012,43.44,,,,,,,,,2.2,8.370000000000001,15.700000000000001,6.0600000000000005,9.64,13.38,20.21,50.72,2.46,3.6,4.42,5.21,6.12,7.2700000000000005,8.86,11.35,16.240000000000002,34.480000000000004,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Western Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Lower middle income,987,656,US$2011PPP,Year,,,,2759848,9729254,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2011-2015,EMICOV,https://pip.worldbank.org/,Yes
+1695,Benin,BEN,BJ,2015,47.76,,,,,,,,,2.92,16.09,12.870000000000001,3.24,9.63,14.15,20.84,52.14,1,2.24,4.2700000000000005,5.37,6.46,7.69,9.33,11.51,14.51,37.62,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Western Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Lower middle income,990,700,US$2011PPP,Year,,,,2945970,10575962,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2011-2015,EMICOV,https://pip.worldbank.org/,Yes
+1696,Benin,BEN,BJ,2019,37.81,,,,,,,,,1.6500000000000001,6.46,18.1,7.03,11.07,15.040000000000001,21.44,45.43,2.89,4.13,5.1000000000000005,5.97,6.93,8.11,9.61,11.83,15.55,29.88,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Western Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Lower middle income,1533,1148,US$2011PPP,Year,,,,3287310,11801151,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),,EHCVM,https://pip.worldbank.org/,Yes
+5676,Djibouti,DJI,DJ,1996,44.800000000000004,,,,,,,,,3,14.11,12.11,3.7600000000000002,8.35,13.48,21.36,53.050000000000004,1.1500000000000001,2.61,3.6,4.75,5.99,7.49,9.33,12.030000000000001,16.71,36.34,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Middle East and North Africa,Non-EU,Non-OECD,Lower middle income,135710,,Djiboutian franc,Month,0.005626797058310498,,,3078994,643649,,Low,13,World Bank,"Deininger and Squire, World Bank 2004",World Bank. Compilation,Enquete Djiboutienne aupres des Menages - Indicateurs sociaux,,Yes
+5677,Djibouti,DJI,DJ,2002,40,,,,,,,,,1.85,7.73,16.6,6.0200000000000005,10.58,15.11,21.78,46.51,2.31,3.7,4.78,5.8,6.91,8.2,9.8,11.98,15.74,30.77,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Middle East and North Africa,Non-EU,Non-OECD,Lower middle income,1624,1218,US$2011PPP,Year,,,,2698126,746947,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),,EDAM,https://pip.worldbank.org/,Yes
+5678,Djibouti,DJI,DJ,2012,45.13,,,,,,,,,2.45,11.76,14.040000000000001,4.28,9.76,14.44,21.19,50.33,1.26,3.0100000000000002,4.32,5.45,6.58,7.86,9.53,11.66,15.950000000000001,34.39,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Middle East and North Africa,Non-EU,Non-OECD,Lower middle income,1995,1429,US$2011PPP,Year,,,,3924912,868136,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),,EDAM,https://pip.worldbank.org/,Yes
+5679,Djibouti,DJI,DJ,2013,44.13,,,,,,,,,2.33,10.15,14.61,4.92,9.69,14.56,20.87,49.96,1.71,3.21,4.21,5.47,6.640000000000001,7.91,9.42,11.46,15.870000000000001,34.1,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Middle East and North Africa,Non-EU,Non-OECD,Lower middle income,1782,1288,US$2011PPP,Year,,,,4028432,883296,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),,EDAM,https://pip.worldbank.org/,Yes
+5680,Djibouti,DJI,DJ,2017,41.59,,,,,,,,,2.04,8.81,15.82,5.4,10.42,15.05,21.54,47.59,1.94,3.45,4.7,5.72,6.88,8.17,9.76,11.78,15.280000000000001,32.31,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Middle East and North Africa,Non-EU,Non-OECD,Lower middle income,1870,1403,US$2011PPP,Year,,,,4885205,944100,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),,EDAM,https://pip.worldbank.org/,Yes
+6660,Ethiopia,ETH,ET,1982,32.42,,,,,,,,,1.3,4.83,21.23,8.56,12.67,16.36,21.1,41.31,3.68,4.88,5.88,6.79,7.7,8.67,9.8,11.3,13.790000000000001,27.52,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,653,533,US$2011PPP,Year,,,,821501,36995248,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),,HICES,https://pip.worldbank.org/,No
+6661,Ethiopia,ETH,ET,1996,29,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,736948,58883532,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6662,Ethiopia,ETH,ET,1996,27,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,736948,58883532,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6663,Ethiopia,ETH,ET,1996,34,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,736948,58883532,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6664,Ethiopia,ETH,ET,1996,46.4,,,,,,,,,3.67,13.84,12.05,4.22,7.83,11.67,17.900000000000002,58.39,1.54,2.67,3.5,4.32,5.2700000000000005,6.4,7.8500000000000005,10.05,14.18,44.21,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,15139,,Ethopian birr,Month,0.15743878583208365,,,736948,58883532,,Average,13,World Bank,"Deininger and Squire, World Bank 2004",World Bank. Compilation,Household Income Consumption and Expenditure Survey (HICES),,No
+6665,Ethiopia,ETH,ET,1996,28.7,,,,,,,,,1.28,5.09,20.42,8.07,12.35,16.41,22.13,41.050000000000004,3.35,4.72,5.68,6.66,7.62,8.790000000000001,10.14,11.99,14.98,26.060000000000002,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,19085,,Ethopian birr,Month,0.15743878583208365,,,736948,58883532,,Average,13,World Bank,"Deininger and Squire, World Bank 2004",World Bank. Compilation,Household Income Consumption and Expenditure Survey (HICES),,No
+6666,Ethiopia,ETH,ET,1996,44.56,,,,,,,,,2.34,8.13,16.26,6.3500000000000005,9.91,13.36,18.76,51.63,2.59,3.75,4.59,5.32,6.19,7.17,8.45,10.31,13.58,38.050000000000004,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,770,513,US$2011PPP,Year,,,,736948,58883532,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 1995-2015,HICES,https://pip.worldbank.org/,Yes
+6667,Ethiopia,ETH,ET,1997,45.9,,,,,,,,,3.36,12.8,12.66,4.44,8.22,12.1,18.41,56.84,1.6300000000000001,2.82,3.69,4.5200000000000005,5.48,6.62,8.120000000000001,10.290000000000001,14.31,42.53,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,13327,,Ethopian birr,Month,0.14904591980584278,,,737330,60697440,,Low,13,World Bank,"Deininger and Squire, World Bank 2004",World Bank. Compilation,Welfare Monitoring Survey,,No
+6668,Ethiopia,ETH,ET,1997,44.1,,,,,,,,,2.87,9.97,14.46,5.5200000000000005,8.94,12.41,18.11,55.01,2.22,3.3000000000000003,4.08,4.86,5.7,6.71,8.05,10.06,13.55,41.46,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,16565,,Ethopian birr,Month,0.14904591980584278,,,737330,60697440,,Low,13,World Bank,"Deininger and Squire, World Bank 2004",World Bank. Compilation,Welfare Monitoring Survey,,No
+6669,Ethiopia,ETH,ET,2000,28,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,727767,66224812,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6670,Ethiopia,ETH,ET,2000,26,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,727767,66224812,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6671,Ethiopia,ETH,ET,2000,38,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,727767,66224812,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6672,Ethiopia,ETH,ET,2000,29.98,,,,,,,,,1.1400000000000001,4.32,22.35,9.120000000000001,13.23,16.76,21.47,39.410000000000004,3.85,5.2700000000000005,6.17,7.07,7.9,8.870000000000001,9.98,11.49,13.92,25.48,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,757,633,US$2011PPP,Year,,,,727767,66224812,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 1995-2015,HICES,https://pip.worldbank.org/,Yes
+6673,Ethiopia,ETH,ET,2005,30,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,862355,76346312,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6674,Ethiopia,ETH,ET,2005,26,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,862355,76346312,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6675,Ethiopia,ETH,ET,2005,44,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,862355,76346312,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6676,Ethiopia,ETH,ET,2005,29.810000000000002,,,,,,,,,1.1400000000000001,4.2,22.41,9.370000000000001,13.040000000000001,16.89,21.38,39.31,4.07,5.3100000000000005,6.11,6.94,7.94,8.950000000000001,10.01,11.370000000000001,13.68,25.64,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,953,804,US$2011PPP,Year,,,,862355,76346312,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 1995-2015,HICES,https://pip.worldbank.org/,Yes
+6677,Ethiopia,ETH,ET,2011,30,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,1360939,90139928,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6678,Ethiopia,ETH,ET,2011,27,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,1360939,90139928,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6679,Ethiopia,ETH,ET,2011,37,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,1360939,90139928,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6680,Ethiopia,ETH,ET,2011,33.17,,,,,,,,,1.33,5.19,20.64,8.03,12.61,16.34,21.35,41.67,3.18,4.8500000000000005,5.86,6.75,7.68,8.66,9.83,11.51,14.27,27.400000000000002,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,1021,833,US$2011PPP,Year,,,,1360939,90139928,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 1995-2015,HICES,https://pip.worldbank.org/,Yes
+6681,Ethiopia,ETH,ET,2011,30.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (net),"Income, net",Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,1360939,90139928,New 2019,High,11,Research study,Commitment to Equity Project,Hill et al. 2017,Household Income Consumption and Expenditure Survey (HICES) and Welfare Monitoring Survey (WMS),http://www.commitmentoequity.org/wp-content/uploads/2017/09/CEQ-WP41_Hill-Inchauste-Lustig-Tsehaye-Woldehanna_Ethiopia_April2017.pdf,No
+6682,Ethiopia,ETH,ET,2011,32.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Earnings,Market income,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,1360939,90139928,New 2019,High,9,Research study,Commitment to Equity Project,Hill et al. 2017,Household Income Consumption and Expenditure Survey (HICES) and Welfare Monitoring Survey (WMS),http://www.commitmentoequity.org/wp-content/uploads/2017/09/CEQ-WP41_Hill-Inchauste-Lustig-Tsehaye-Woldehanna_Ethiopia_April2017.pdf,No
+6683,Ethiopia,ETH,ET,2016,33,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,1894897,103603464,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6684,Ethiopia,ETH,ET,2016,28,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,1894897,103603464,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6685,Ethiopia,ETH,ET,2016,38,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,,,,1894897,103603464,New 2019,High,11,National statistical authority,Ethiopia National Planning Commission,Poverty Analysis Study,Household Income Consumption and Expenditure Survey (HICES),http://www.csa.gov.et/survey-report/category/357-poverty-analysis?download=901:2016-poverty-interim-report-1,No
+6686,Ethiopia,ETH,ET,2016,34.99,,,,,,,,,1.46,5.8500000000000005,19.44,7.3500000000000005,12.09,16.35,21.2,43.01,2.89,4.46,5.57,6.5200000000000005,7.63,8.72,9.790000000000001,11.42,14.55,28.46,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,1135,929,US$2011PPP,Year,,,,1894897,103603464,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 1995-2015,HICES,https://pip.worldbank.org/,Yes
+20535,Uganda,UGA,UG,1970,40.1,,,,,,,,,1.85,7.5200000000000005,16.6,6.2,10.4,14.9,21.900000000000002,46.6,2.4,3.8000000000000003,4.7,5.7,6.8,8.1,9.8,12.1,15.9,30.7,,20,Income (net/gross),"Income, net/gross",,,,Person,All,All,Specific categories,"Employed, African males",Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,2890,,Ugandan shilling,Year,0.07143000007143,,,1354904,9405606,,Low,7,World Bank,Jain 1975,World Bank. Compilation,,,No
+20536,Uganda,UGA,UG,1970,27.2,,,,,,,,,1,3.7,24.3,10.1,14.200000000000001,17.2,21.1,37.4,4.2,5.9,6.7,7.5,8.2,9,9.9,11.200000000000001,13.200000000000001,24.2,,16.3,Income (net/gross),"Income, net/gross",,,,Person,Rural,Rural,Specific categories,"Employed, African males",Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,1780,,Ugandan shilling,Year,0.07143000007143,,,1354904,9405606,,Low,7,World Bank,Jain 1975,World Bank. Compilation,,,No
+20537,Uganda,UGA,UG,1970,26.6,,,,,,,,,0.97,3.65,24.5,10.1,14.4,17.400000000000002,21.2,36.9,4.2,5.9,6.8,7.6000000000000005,8.3,9.1,10,11.200000000000001,13.1,23.8,,15.9,Income (net/gross),"Income, net/gross",,,,Person,Rural,Agricultural sector,Specific categories,"Employed, African males",Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,1740,,Ugandan shilling,Year,0.07143000007143,,,1354904,9405606,,Low,6,World Bank,Jain 1975,World Bank. Compilation,,,No
+20538,Uganda,UGA,UG,1970,39.7,,,,,,,,,1.8,7.67,16.4,6,10.4,15.1,22.5,46,2.3000000000000003,3.7,4.7,5.7,6.8,8.3,10,12.5,16.5,29.5,,18.5,Income (net/gross),"Income, net/gross",,,,Person,Urban,Urban,Specific categories,"Employed, African males",Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,3120,,Ugandan shilling,Year,0.07143000007143,,,1354904,9405606,,Low,7,World Bank,Jain 1975,World Bank. Compilation,,,No
+20539,Uganda,UGA,UG,1970,39.800000000000004,,,,,,,,,1.82,7.68,16.3,6,10.3,15.1,22.5,46.1,2.3000000000000003,3.7,4.6000000000000005,5.7,6.8,8.3,10,12.5,16.5,29.6,,18.5,Income (net/gross),"Income, net/gross",,,,Person,Urban,Nonagricultural sector,Specific categories,"Employed, African males",Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,3120,,Ugandan shilling,Year,0.07143000007143,,,1354904,9405606,,Low,6,World Bank,Jain 1975,World Bank. Compilation,,,No
+20540,Uganda,UGA,UG,1989,44.36,,,,,,,,,2.37,10.11,14.22,4.94,9.28,14.25,21.61,49.92,1.93,3.0100000000000002,4.08,5.2,6.42,7.83,9.58,12.02,16.22,33.7,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,832,589,US$2011PPP,Year,,,,910786,16763041,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),,HBS,https://pip.worldbank.org/,Yes
+20541,Uganda,UGA,UG,1989,37.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,All,"All, excl. seven districts",All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,0.004482463578746203,,,910786,16763041,,Low,10,World Bank,World Bank 1995c,,Household Budget Survey,,No
+20542,Uganda,UGA,UG,1989,36.4,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,Rural,"Rural, excl. seven districts on national level",All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,0.004482463578746203,,,910786,16763041,,Low,10,World Bank,World Bank 1995c,,Household Budget Survey,,No
+20543,Uganda,UGA,UG,1989,37.300000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,Urban,"Urban, excl. seven districts on national level",All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,0.004482463578746203,,,910786,16763041,,Low,10,World Bank,World Bank 1995c,,Household Budget Survey,,No
+20544,Uganda,UGA,UG,1993,48.4,,,,,,,,,3.72,16.88,10.78,3.35,7.43,12.25,20.42,56.54,1.12,2.23,3.21,4.23,5.39,6.86,8.81,11.61,16.48,40.07,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,137076,,Ugandan shilling,Month,0.0008819630616230557,,,977856,19175986,,Average,13,World Bank,"Deininger and Squire, World Bank 2004",World Bank. Compilation,National Household Survey,,No
+20545,Uganda,UGA,UG,1993,41.43,,,,,,,,,2.02,7.79,16.580000000000002,6.18,10.4,14.64,20.61,48.17,2.45,3.73,4.7,5.71,6.74,7.9,9.31,11.3,14.65,33.52,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,752,546,US$2011PPP,Year,,,,977856,19175986,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 1992-1999,NIHS,https://pip.worldbank.org/,Yes
+20546,Uganda,UGA,UG,1993,40.9,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,0.0008819630616230557,,,977856,19175986,,Average,11,World Bank,World Bank 1995c,,National Household Survey,,No
+20547,Uganda,UGA,UG,1993,35.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,Rural,Rural,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,0.0008819630616230557,,,977856,19175986,,Average,11,World Bank,World Bank 1995c,,National Household Survey,,No
+20548,Uganda,UGA,UG,1993,43.9,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,Urban,Urban,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,,,,,0.0008819630616230557,,,977856,19175986,,Average,11,World Bank,World Bank 1995c,,National Household Survey,,No
+20549,Uganda,UGA,UG,1997,39.04,,,,,,,,,1.78,6.8100000000000005,17.580000000000002,6.82,10.76,14.88,21.09,46.46,2.7800000000000002,4.04,4.92,5.84,6.88,8,9.53,11.56,15.120000000000001,31.34,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,751,554,US$2011PPP,Year,,,,1177890,21655392,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 1992-1999,NIHS,https://pip.worldbank.org/,Yes
+20550,Uganda,UGA,UG,2000,53.6,,,,,,,,,4.11,16.46,10.97,3.64,7.33,11.27,17.830000000000002,59.93,1.27,2.37,3.24,4.09,5.0600000000000005,6.2,7.71,10.120000000000001,14.88,45.050000000000004,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,433723,,Ugandan shilling,Month,0.0006080966857514446,,,1260985,23650158,,Average,13,World Bank,"Deininger and Squire, World Bank 2004",World Bank. Compilation,National Household Survey,,No
+20551,Uganda,UGA,UG,2000,43,,,,,,,,,2.19,8.370000000000001,15.94,5.94,10,14.05,20.27,49.74,2.34,3.6,4.5600000000000005,5.44,6.44,7.61,9.05,11.22,14.85,34.89,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,734,513,US$2011PPP,Year,,,,1260985,23650158,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 1992-1999,NIHS,https://pip.worldbank.org/,Yes
+20552,Uganda,UGA,UG,2003,42.800000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,594672,,Ugandan shilling,Month,0.0005563126042912285,,,1397798,25980546,New 2013,High,11,National statistical authority,Uganda Bureau of Statistics,Uganda Statistical Abstract,National Household Survey,,No
+20553,Uganda,UGA,UG,2003,36.300000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,Rural,Rural,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,491040,,Ugandan shilling,Month,0.0005563126042912285,,,1397798,25980546,New 2013,High,11,National statistical authority,Uganda Bureau of Statistics,Uganda Statistical Abstract,National Household Survey,,No
+20554,Uganda,UGA,UG,2003,48.300000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,Urban,Urban,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,1244256,,Ugandan shilling,Month,0.0005563126042912285,,,1397798,25980546,New 2013,High,11,National statistical authority,Uganda Bureau of Statistics,Uganda Statistical Abstract,National Household Survey,,No
+20555,Uganda,UGA,UG,2003,45.17,,,,,,,,,2.43,8.88,15.43,5.87,9.56,13.280000000000001,19.150000000000002,52.13,2.36,3.5100000000000002,4.36,5.21,6.12,7.16,8.53,10.61,14.67,37.47,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,806,534,US$2011PPP,Year,,,,1397798,25980546,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2002-2019,UNHS,https://pip.worldbank.org/,Yes
+20556,Uganda,UGA,UG,2006,40.800000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,661104,474552,Ugandan shilling,Month,0.0005615877010588282,,,1599216,28571474,New 2013,High,11,National statistical authority,Uganda Bureau of Statistics,Uganda Statistical Abstract,National Household Survey,,No
+20557,Uganda,UGA,UG,2006,36.300000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,Rural,Rural,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,564372,,Ugandan shilling,Month,0.0005615877010588282,,,1599216,28571474,New 2013,High,11,National statistical authority,Uganda Bureau of Statistics,Uganda Statistical Abstract,National Household Survey,,No
+20558,Uganda,UGA,UG,2006,43.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,Urban,Urban,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,1194300,,Ugandan shilling,Month,0.0005615877010588282,,,1599216,28571474,New 2013,High,11,National statistical authority,Uganda Bureau of Statistics,Uganda Statistical Abstract,National Household Survey,,No
+20559,Uganda,UGA,UG,2006,42.94,,,,,,,,,2.17,8.22,15.92,6.0600000000000005,9.86,13.83,20.42,49.83,2.44,3.62,4.47,5.39,6.34,7.49,9.05,11.38,15.3,34.53,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,897,617,US$2011PPP,Year,,,,1599216,28571474,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2002-2019,UNHS,https://pip.worldbank.org/,Yes
+20560,Uganda,UGA,UG,2010,42.6,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,750540,519168,Ugandan shilling,Month,0.000492492427136225,,,1873514,32428164,New 2013,High,11,National statistical authority,Uganda Bureau of Statistics,Uganda Statistical Abstract,National Household Survey,,No
+20561,Uganda,UGA,UG,2010,37.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,Rural,Rural,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,629604,,Ugandan shilling,Month,0.000492492427136225,,,1873514,32428164,New 2013,High,11,National statistical authority,Uganda Bureau of Statistics,Uganda Statistical Abstract,National Household Survey,,No
+20562,Uganda,UGA,UG,2010,44.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Equivalized,Equivalized,Household,Person,Urban,Urban,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,1434624,,Ugandan shilling,Month,0.000492492427136225,,,1873514,32428164,New 2013,High,11,National statistical authority,Uganda Bureau of Statistics,Uganda Statistical Abstract,National Household Survey,,No
+20563,Uganda,UGA,UG,2010,44.2,,,,,,,,,2.32,8.65,15.700000000000001,5.92,9.78,13.51,19.56,51.230000000000004,2.32,3.6,4.49,5.3,6.2,7.3100000000000005,8.73,10.83,14.790000000000001,36.44,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,1114,750,US$2011PPP,Year,,,,1873514,32428164,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2002-2019,UNHS,https://pip.worldbank.org/,Yes
+20564,Uganda,UGA,UG,2013,41.01,,,,,,,,,1.96,7.58,16.78,6.37,10.41,14.32,20.61,48.29,2.5100000000000002,3.85,4.7700000000000005,5.64,6.58,7.74,9.21,11.4,15.42,32.87,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,1216,869,US$2011PPP,Year,,,,2002723,35694520,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2002-2019,UNHS,https://pip.worldbank.org/,Yes
+20565,Uganda,UGA,UG,2017,42.75,,,,,,,,,2.14,8.1,15.98,6.15,9.83,13.82,20.400000000000002,49.81,2.52,3.62,4.48,5.34,6.32,7.5,9.05,11.35,15.6,34.21,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,1169,806,US$2011PPP,Year,,,,2074652,41166588,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2002-2019,UNHS,https://pip.worldbank.org/,Yes
+20566,Uganda,UGA,UG,2020,42.71,,,,,,,,,2.14,8.120000000000001,16.13,6.1000000000000005,10.03,14.05,20.27,49.550000000000004,2.43,3.67,4.59,5.45,6.45,7.61,9.08,11.19,15.030000000000001,34.51,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Africa,Eastern Africa,Sub-Saharan Africa,Non-EU,Non-OECD,Low income,1160,814,US$2011PPP,Year,,,,2175031,45741000,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2002-2019,UNHS,https://pip.worldbank.org/,Yes
+22410,Vietnam,VNM,VN,1993,32.9,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,1957645,72300304,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22411,Vietnam,VNM,VN,1993,27.8,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,1957645,72300304,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22412,Vietnam,VNM,VN,1993,33.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,1957645,72300304,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22413,Vietnam,VNM,VN,1993,35.65,,,,,,,,,1.48,5.66,19.330000000000002,7.79,11.540000000000001,15.26,21.32,44.08,3.2600000000000002,4.53,5.34,6.2,7.1000000000000005,8.16,9.58,11.74,15.450000000000001,28.64,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,886,674,US$2011PPP,Year,,,,1957645,72300304,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 1992-1997,VLSS,https://pip.worldbank.org/,Yes
+22414,Vietnam,VNM,VN,1996,36.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (net/gross),"Income, net/gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,9.064060245787128e-05,,,2425526,76068744,,Low,9,Other international organizations,Asian Development Bank 2007,Asean Statistical Yearbook 2003,,,No
+22415,Vietnam,VNM,VN,1998,35,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,2701771,78115712,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22416,Vietnam,VNM,VN,1998,27,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,2701771,78115712,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22417,Vietnam,VNM,VN,1998,34,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,2701771,78115712,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22418,Vietnam,VNM,VN,1998,35.44,,,,,,,,,1.48,5.55,19.68,7.96,11.72,15.19,20.96,44.17,3.34,4.62,5.46,6.26,7.08,8.11,9.48,11.47,15.120000000000001,29.05,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1160,874,US$2011PPP,Year,,,,2701771,78115712,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 1992-1997,VLSS,https://pip.worldbank.org/,Yes
+22419,Vietnam,VNM,VN,2002,42,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,3269876,81534408,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22420,Vietnam,VNM,VN,2002,36,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,3269876,81534408,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22421,Vietnam,VNM,VN,2002,41,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,3269876,81534408,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22422,Vietnam,VNM,VN,2002,37,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,3269876,81534408,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22423,Vietnam,VNM,VN,2002,28.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,3269876,81534408,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22424,Vietnam,VNM,VN,2002,35.300000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,3269876,81534408,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22425,Vietnam,VNM,VN,2002,37.03,,,,,,,,,1.59,6.03,18.73,7.5200000000000005,11.21,14.84,21.07,45.36,3.17,4.3500000000000005,5.2,6.01,6.88,7.96,9.44,11.63,15.52,29.85,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1122,826,US$2011PPP,Year,,,,3269876,81534408,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2002-2008,VHLSS,https://pip.worldbank.org/,Yes
+22426,Vietnam,VNM,VN,2002,37.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,11318,,Vietnamese dong,Year,,,,3269876,81534408,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22427,Vietnam,VNM,VN,2002,34.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,9188,,Vietnamese dong,Year,,,,3269876,81534408,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22428,Vietnam,VNM,VN,2002,34.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,9568,,Vietnamese dong,Year,,,,3269876,81534408,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22429,Vietnam,VNM,VN,2002,36.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,17291,,Vietnamese dong,Year,,,,3269876,81534408,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22430,Vietnam,VNM,VN,2002,39.6,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,11461,,Vietnamese dong,Year,,,,3269876,81534408,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22431,Vietnam,VNM,VN,2002,34.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,9105,,Vietnamese dong,Year,,,,3269876,81534408,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22432,Vietnam,VNM,VN,2002,35.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,9606,,Vietnamese dong,Year,,,,3269876,81534408,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22433,Vietnam,VNM,VN,2002,27.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,7306,,Vietnamese dong,Year,,,,3269876,81534408,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22434,Vietnam,VNM,VN,2002,39.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,17795,,Vietnamese dong,Year,,,,3269876,81534408,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22435,Vietnam,VNM,VN,2002,34.9,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,15246,,Vietnamese dong,Year,,,,3269876,81534408,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22436,Vietnam,VNM,VN,2004,42,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,3689733,83062824,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22437,Vietnam,VNM,VN,2004,37,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,3689733,83062824,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22438,Vietnam,VNM,VN,2004,41,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,3689733,83062824,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22439,Vietnam,VNM,VN,2004,37,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,3689733,83062824,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22440,Vietnam,VNM,VN,2004,29.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,3689733,83062824,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22441,Vietnam,VNM,VN,2004,33.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,3689733,83062824,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22442,Vietnam,VNM,VN,2004,36.79,,,,,,,,,1.56,6.22,18.42,7.16,11.26,15.26,21.79,44.54,2.92,4.24,5.18,6.08,7.04,8.21,9.8,11.99,15.77,28.77,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1324,1003,US$2011PPP,Year,,,,3689733,83062824,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2002-2008,VHLSS,https://pip.worldbank.org/,Yes
+22443,Vietnam,VNM,VN,2004,37,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,14166,,Vietnamese dong,Year,,,,3689733,83062824,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22444,Vietnam,VNM,VN,2004,35,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,11648,,Vietnamese dong,Year,,,,3689733,83062824,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22445,Vietnam,VNM,VN,2004,34.4,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,12068,,Vietnamese dong,Year,,,,3689733,83062824,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22446,Vietnam,VNM,VN,2004,35.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,20953,,Vietnamese dong,Year,,,,3689733,83062824,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22447,Vietnam,VNM,VN,2004,38.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,14144,,Vietnamese dong,Year,,,,3689733,83062824,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22448,Vietnam,VNM,VN,2004,35.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,11548,,Vietnamese dong,Year,,,,3689733,83062824,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22449,Vietnam,VNM,VN,2004,35.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,12100,,Vietnamese dong,Year,,,,3689733,83062824,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22450,Vietnam,VNM,VN,2004,29,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,9154,,Vietnamese dong,Year,,,,3689733,83062824,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22451,Vietnam,VNM,VN,2004,36,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,20738,,Vietnamese dong,Year,,,,3689733,83062824,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22452,Vietnam,VNM,VN,2004,33.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,19270,,Vietnamese dong,Year,,,,3689733,83062824,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22453,Vietnam,VNM,VN,2006,37.78,23.52,27.55,49.4,6.37,11.870000000000001,16.68,20.96,34.410000000000004,1.67,6.36,18.18,7.15,11.03,15.11,21.23,45.47,2.95,4.2,5.08,5.95,6.97,8.15,9.64,11.6,15.11,30.36,1.25,19.95,Income (net),"Income, net",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2975,2231,US$2017PPP,Year,,,,4167108,84617544,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,Yes
+22454,Vietnam,VNM,VN,2006,36.550000000000004,21.98,26.04,46.86,6.01,11.18,15.71,19.73,32.44,1.57,5.91,18.92,7.55,11.370000000000001,15.24,21.2,44.64,3.14,4.41,5.26,6.11,7.07,8.17,9.65,11.55,14.93,29.71,1.34,19.47,Income (net),"Income, net",Equivalized,OECD-modified,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,5131,3895,US$2017PPP,Year,,,,4167108,84617544,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22455,Vietnam,VNM,VN,2006,36.94,22.52,26.13,44.82,6.07,11.34,16,20.16,33.49,1.59,6.12,18.6,7.3100000000000005,11.290000000000001,15.24,21.41,44.75,3.0100000000000002,4.3,5.22,6.07,7.03,8.21,9.700000000000001,11.71,15.13,29.62,1.27,19.29,Income (net),"Income, net",Equivalized,Square root,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,6282,4776,US$2017PPP,Year,,,,4167108,84617544,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22456,Vietnam,VNM,VN,2006,39.68,27.27,29.810000000000002,50.57,6.98,13.16,18.740000000000002,23.87,41.81,1.82,7.66,16.91,6.0600000000000005,10.86,15.16,21.53,46.4,2.22,3.83,4.94,5.92,6.98,8.18,9.71,11.82,15.58,30.810000000000002,0.8200000000000001,20.21,Income (net),"Income, net",No adjustment,No adjustment,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,12508,9456,US$2017PPP,Year,,,,4167108,84617544,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22457,Vietnam,VNM,VN,2006,37.76,23.490000000000002,26.79,44.22,6.25,11.73,16.59,20.94,34.72,1.6600000000000001,6.41,18,7.04,10.96,15.11,21.75,45.14,2.89,4.15,5.03,5.93,6.94,8.17,9.77,11.98,15.33,29.810000000000002,1.22,19.44,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1906,1424,US$2017PPP,Year,,,,4167108,84617544,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22458,Vietnam,VNM,VN,2006,36.480000000000004,21.82,25.16,42.07,5.86,10.99,15.530000000000001,19.61,32.54,1.55,5.96,18.7,7.42,11.27,15.31,21.740000000000002,44.25,3.11,4.32,5.19,6.08,7.04,8.27,9.83,11.9,15.25,28.990000000000002,1.32,18.87,Consumption,Consumption,Equivalized,OECD-modified,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,3282,2500,US$2017PPP,Year,,,,4167108,84617544,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22459,Vietnam,VNM,VN,2006,36.85,22.32,25.490000000000002,42.51,5.95,11.18,15.82,20,33.35,1.58,6.140000000000001,18.400000000000002,7.25,11.16,15.3,21.82,44.480000000000004,3.02,4.23,5.12,6.04,7.04,8.26,9.870000000000001,11.950000000000001,15.47,29,1.29,18.77,Consumption,Consumption,Equivalized,Square root,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,4017,3049,US$2017PPP,Year,,,,4167108,84617544,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22460,Vietnam,VNM,VN,2006,39.37,26.71,28.72,47.81,6.76,12.82,18.34,23.44,41.13,1.79,7.55,16.830000000000002,6.08,10.75,15.25,21.98,45.95,2.27,3.8200000000000003,4.87,5.88,6.98,8.26,9.88,12.1,15.870000000000001,30.080000000000002,0.85,19.34,Consumption,Consumption,No adjustment,No adjustment,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,8007,6074,US$2017PPP,Year,,,,4167108,84617544,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22461,Vietnam,VNM,VN,2006,42.4,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,4167108,84617544,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22462,Vietnam,VNM,VN,2006,37.800000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,4167108,84617544,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22463,Vietnam,VNM,VN,2006,39.300000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,4167108,84617544,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22464,Vietnam,VNM,VN,2006,35.800000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,4167108,84617544,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22465,Vietnam,VNM,VN,2006,30.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,4167108,84617544,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22466,Vietnam,VNM,VN,2006,32.9,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,4167108,84617544,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22467,Vietnam,VNM,VN,2006,35.79,,,,,,,,,1.49,6.03,18.650000000000002,7.17,11.48,15.790000000000001,22.3,43.26,2.9,4.2700000000000005,5.25,6.24,7.2700000000000005,8.52,10.06,12.24,15.530000000000001,27.72,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1478,1158,US$2011PPP,Year,,,,4167108,84617544,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2002-2008,VHLSS,https://pip.worldbank.org/,No (overlapping observation)
+22468,Vietnam,VNM,VN,2006,37.4,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,16074,,Vietnamese dong,Year,,,,4167108,84617544,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22469,Vietnam,VNM,VN,2006,33.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,11913,,Vietnamese dong,Year,,,,4167108,84617544,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22470,Vietnam,VNM,VN,2006,35.300000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,13858,,Vietnamese dong,Year,,,,4167108,84617544,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22471,Vietnam,VNM,VN,2006,35,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,23295,,Vietnamese dong,Year,,,,4167108,84617544,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22472,Vietnam,VNM,VN,2006,39,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,16117,,Vietnamese dong,Year,,,,4167108,84617544,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22473,Vietnam,VNM,VN,2006,34.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,11791,,Vietnamese dong,Year,,,,4167108,84617544,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22474,Vietnam,VNM,VN,2006,37.300000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,13975,,Vietnamese dong,Year,,,,4167108,84617544,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22475,Vietnam,VNM,VN,2006,29.3,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,9666,,Vietnamese dong,Year,,,,4167108,84617544,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22476,Vietnam,VNM,VN,2006,36.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,23094,,Vietnamese dong,Year,,,,4167108,84617544,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22477,Vietnam,VNM,VN,2006,31.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,18710,,Vietnamese dong,Year,,,,4167108,84617544,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22478,Vietnam,VNM,VN,2008,41.39,28.560000000000002,36.43,91,8.11,14.67,20.150000000000002,24.84,39.63,2.02,7.4,16.82,6.58,10.24,14.23,20.3,48.660000000000004,2.69,3.89,4.72,5.51,6.53,7.69,9.14,11.16,14.75,33.910000000000004,1.1500000000000001,23.35,Income (net),"Income, net",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,3840,2725,US$2017PPP,Year,,,,4628030,86243424,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,Yes
+22479,Vietnam,VNM,VN,2008,40.39,27.23,35.08,86.48,7.8,14.1,19.34,23.84,38.19,1.9100000000000001,6.99,17.42,6.8500000000000005,10.56,14.39,20.26,47.93,2.81,4.04,4.88,5.68,6.61,7.79,9.15,11.11,14.620000000000001,33.31,1.19,23.03,Income (net),"Income, net",Equivalized,OECD-modified,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,6589,4729,US$2017PPP,Year,,,,4628030,86243424,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22480,Vietnam,VNM,VN,2008,40.62,27.6,34.68,79.74,7.78,14.14,19.490000000000002,24.12,39.01,1.94,7.17,17.17,6.69,10.49,14.42,20.48,47.93,2.73,3.96,4.82,5.66,6.63,7.78,9.23,11.25,14.68,33.25,1.1400000000000001,22.93,Income (net),"Income, net",Equivalized,Square root,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,8034,5786,US$2017PPP,Year,,,,4628030,86243424,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22481,Vietnam,VNM,VN,2008,43.39,33.12,38.99,87.89,8.82,16.17,22.52,28.2,47.9,2.22,9.120000000000001,15.51,5.43,10.08,14.26,20.72,49.52,1.92,3.5100000000000002,4.57,5.51,6.5200000000000005,7.73,9.290000000000001,11.43,15.06,34.45,0.68,23.97,Income (net),"Income, net",No adjustment,No adjustment,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,15814,11182,US$2017PPP,Year,,,,4628030,86243424,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22482,Vietnam,VNM,VN,2008,37.63,23.36,28.82,61.7,6.54,12.01,16.71,20.84,33.56,1.6500000000000001,6.2,18.490000000000002,7.3500000000000005,11.14,14.98,20.92,45.6,3.04,4.3100000000000005,5.15,5.99,6.94,8.040000000000001,9.46,11.46,15.08,30.52,1.3,20.27,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2447,1827,US$2017PPP,Year,,,,4628030,86243424,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22483,Vietnam,VNM,VN,2008,36.68,22.17,27.61,59.01,6.26,11.48,15.96,19.88,32,1.58,5.88,19.07,7.640000000000001,11.43,15.1,20.88,44.95,3.2,4.44,5.3100000000000005,6.12,7,8.1,9.49,11.39,14.88,30.080000000000002,1.3900000000000001,19.93,Consumption,Consumption,Equivalized,OECD-modified,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,4204,3161,US$2017PPP,Year,,,,4628030,86243424,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22484,Vietnam,VNM,VN,2008,36.79,22.330000000000002,27.12,53.57,6.2,11.450000000000001,16,20.01,32.58,1.59,5.99,18.86,7.49,11.38,15.19,21.1,44.84,3.12,4.37,5.2700000000000005,6.11,7.03,8.16,9.58,11.52,14.92,29.92,1.33,19.78,Consumption,Consumption,Equivalized,Square root,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,5115,3868,US$2017PPP,Year,,,,4628030,86243424,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22485,Vietnam,VNM,VN,2008,39.910000000000004,27.650000000000002,31.28,59.93,7.22,13.49,19.07,24.150000000000002,41.730000000000004,1.85,7.69,16.9,6.05,10.85,15.120000000000001,21.44,46.53,2.22,3.83,4.93,5.93,6.98,8.14,9.63,11.82,15.280000000000001,31.25,0.8300000000000001,20.8,Consumption,Consumption,No adjustment,No adjustment,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,10075,7584,US$2017PPP,Year,,,,4628030,86243424,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22486,Vietnam,VNM,VN,2008,43.4,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,4628030,86243424,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22487,Vietnam,VNM,VN,2008,38.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,4628030,86243424,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22488,Vietnam,VNM,VN,2008,40.4,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,4628030,86243424,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22489,Vietnam,VNM,VN,2008,35.6,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,4628030,86243424,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22490,Vietnam,VNM,VN,2008,30.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,4628030,86243424,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22491,Vietnam,VNM,VN,2008,34.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,,,,,,,,4628030,86243424,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Poverty and migration profile 2012,Household Living Standards Survey,https://www.gso.gov.vn/Modules/Doc_Download.aspx?DocID=16773,No
+22492,Vietnam,VNM,VN,2008,35.57,,,,,,,,,1.47,5.87,19.03,7.41,11.620000000000001,15.66,21.84,43.46,2.97,4.44,5.37,6.25,7.23,8.43,9.86,11.98,15.43,28.03,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1596,1244,US$2011PPP,Year,,,,4628030,86243424,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2002-2008,VHLSS,https://pip.worldbank.org/,No
+22493,Vietnam,VNM,VN,2008,38.9,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,18257,,Vietnamese dong,Year,,,,4628030,86243424,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22494,Vietnam,VNM,VN,2008,33.3,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,13682,,Vietnamese dong,Year,,,,4628030,86243424,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22495,Vietnam,VNM,VN,2008,36.4,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,15333,,Vietnamese dong,Year,,,,4628030,86243424,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22496,Vietnam,VNM,VN,2008,37.4,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,25926,,Vietnamese dong,Year,,,,4628030,86243424,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22497,Vietnam,VNM,VN,2008,41.6,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,18686,,Vietnamese dong,Year,,,,4628030,86243424,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22498,Vietnam,VNM,VN,2008,34.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,13640,,Vietnamese dong,Year,,,,4628030,86243424,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22499,Vietnam,VNM,VN,2008,39.300000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,15716,,Vietnamese dong,Year,,,,4628030,86243424,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22500,Vietnam,VNM,VN,2008,28.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,10842,,Vietnamese dong,Year,,,,4628030,86243424,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22501,Vietnam,VNM,VN,2008,40.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,26461,,Vietnamese dong,Year,,,,4628030,86243424,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22502,Vietnam,VNM,VN,2008,32.9,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,20964,,Vietnamese dong,Year,,,,4628030,86243424,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22503,Vietnam,VNM,VN,2010,41.99,29.71,39.81,177.87,8.6,15.33,20.900000000000002,25.7,40.410000000000004,2.06,7.8,16.39,6.26,10.13,14.19,20.59,48.83,2.54,3.72,4.62,5.51,6.49,7.7,9.22,11.370000000000001,15.02,33.81,1.07,23.42,Income (net),"Income, net",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,4255,2991,US$2017PPP,Year,,,,5089411,87967656,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,Yes
+22504,Vietnam,VNM,VN,2010,40.76,27.93,37.410000000000004,150.85,8.120000000000001,14.5,19.8,24.37,38.49,1.94,7.28,17.06,6.59,10.47,14.450000000000001,20.52,47.97,2.68,3.91,4.8,5.68,6.66,7.79,9.22,11.3,14.92,33.06,1.12,22.830000000000002,Income (net),"Income, net",Equivalized,OECD-modified,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,7206,5176,US$2017PPP,Year,,,,5089411,87967656,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22505,Vietnam,VNM,VN,2010,40.77,28.03,36.87,143.04,8.05,14.44,19.8,24.45,39.02,1.94,7.37,16.95,6.5,10.450000000000001,14.56,20.63,47.870000000000005,2.6,3.89,4.7700000000000005,5.68,6.68,7.87,9.28,11.34,14.99,32.88,1.08,22.57,Income (net),"Income, net",Equivalized,Square root,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,8574,6243,US$2017PPP,Year,,,,5089411,87967656,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22506,Vietnam,VNM,VN,2010,43.37,32.9,40.980000000000004,152.5,9.02,16.29,22.51,28.04,46.74,2.22,9.1,15.42,5.44,9.98,14.32,20.78,49.480000000000004,2,3.44,4.5,5.48,6.54,7.78,9.35,11.43,15.21,34.27,0.74,23.59,Income (net),"Income, net",No adjustment,No adjustment,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,16470,11735,US$2017PPP,Year,,,,5089411,87967656,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22507,Vietnam,VNM,VN,2010,37.65,23.81,27.94,53.33,6.43,11.96,16.82,21.18,35.4,1.6400000000000001,6.53,18.05,6.87,11.17,15.36,21.69,44.9,2.7600000000000002,4.12,5.11,6.0600000000000005,7.1000000000000005,8.26,9.78,11.91,15.24,29.67,1.1500000000000001,19.56,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,3025,2316,US$2017PPP,Year,,,,5089411,87967656,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22508,Vietnam,VNM,VN,2010,36.57,22.36,26.68,50.980000000000004,6.12,11.35,15.94,20.03,33.32,1.56,6.12,18.69,7.24,11.450000000000001,15.57,21.47,44.27,2.96,4.28,5.26,6.2,7.22,8.34,9.76,11.71,15.11,29.16,1.24,19.19,Consumption,Consumption,Equivalized,OECD-modified,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,5139,3994,US$2017PPP,Year,,,,5089411,87967656,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22509,Vietnam,VNM,VN,2010,36.62,22.47,26.44,48.83,6.09,11.34,15.97,20.12,33.730000000000004,1.56,6.16,18.55,7.17,11.38,15.63,21.68,44.14,2.91,4.26,5.22,6.16,7.25,8.38,9.82,11.86,15.15,28.98,1.21,19.1,Consumption,Consumption,Equivalized,Square root,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,6115,4755,US$2017PPP,Year,,,,5089411,87967656,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22510,Vietnam,VNM,VN,2010,39.31,26.810000000000002,29.92,54.36,6.95,13.040000000000001,18.5,23.52,40.84,1.78,7.53,16.94,6.07,10.870000000000001,15.33,21.96,45.77,2.2600000000000002,3.81,4.91,5.95,7.01,8.31,9.91,12.05,15.57,30.2,0.86,19.98,Consumption,Consumption,No adjustment,No adjustment,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,11708,8931,US$2017PPP,Year,,,,5089411,87967656,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22511,Vietnam,VNM,VN,2010,43.300000000000004,,,,,,,,,,9.24,14.97,5.32,9.65,14.42,21.490000000000002,49.17,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1387,,Vietnamese dong,Month,,,,5089411,87967656,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22512,Vietnam,VNM,VN,2010,,,,,,,,,,,4.63,21.400000000000002,8.76,12.64,16.05,21.900000000000002,40.58,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1139,,Vietnamese dong,Month,,,,5089411,87967656,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22513,Vietnam,VNM,VN,2010,39.5,,,,,,,,,,7.46,16.79,6.17,10.620000000000001,15.35,21.96,46.02,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1070,,Vietnamese dong,Month,,,,5089411,87967656,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22514,Vietnam,VNM,VN,2010,,,,,,,,,,,3.39,24.79,10.33,14.46,17.69,22.51,35.02,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,891,,Vietnamese dong,Month,,,,5089411,87967656,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22515,Vietnam,VNM,VN,2010,40.2,,,,,,,,,,7.88,16.77,5.94,10.83,15.13,21.3,46.79,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2130,,Vietnamese dong,Month,,,,5089411,87967656,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22516,Vietnam,VNM,VN,2010,,,,,,,,,,,4.32,21.29,8.91,12.38,16.990000000000002,23.28,38.45,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1726,,Vietnamese dong,Month,,,,5089411,87967656,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22517,Vietnam,VNM,VN,2010,39.300000000000004,,,,,,,,,,7.17,17.3,6.46,10.84,15,21.41,46.29,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,16644000,,Vietnamese dong,Month,5.372613104698788e-05,,,5089411,87967656,New 2013,High,12,National statistical authority,General Statistics Office of Vietnam 2012,Vietnam Living Standards Report,Household Living Standards Survey,,No
+22518,Vietnam,VNM,VN,2010,33.2,,,,,,,,,,6.08,18.650000000000002,6.95,11.700000000000001,16.19,22.91,42.25,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,12840000,,Vietnamese dong,Month,5.372613104698788e-05,,,5089411,87967656,New 2013,High,12,National statistical authority,General Statistics Office of Vietnam 2012,Vietnam Living Standards Report,Household Living Standards Survey,,No
+22519,Vietnam,VNM,VN,2010,38.6,,,,,,,,,,7.3100000000000005,17.02,6.5600000000000005,10.46,14.34,20.67,47.97,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,25548000,,Vietnamese dong,Month,5.372613104698788e-05,,,5089411,87967656,New 2013,High,12,National statistical authority,General Statistics Office of Vietnam 2012,Vietnam Living Standards Report,Household Living Standards Survey,,No
+22520,Vietnam,VNM,VN,2010,39.25,,,,,,,,,1.78,7.17,17.3,6.46,10.84,15,21.41,46.29,2.5300000000000002,3.92,4.95,5.89,6.94,8.06,9.64,11.77,15.42,30.87,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2814,2099,US$2011PPP,Year,,,,5089411,87967656,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2010-2018,VHLSS,https://pip.worldbank.org/,No
+22521,Vietnam,VNM,VN,2010,39.6,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,21790,,Vietnamese dong,Year,,,,5089411,87967656,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22522,Vietnam,VNM,VN,2010,38,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,22521,,Vietnamese dong,Year,,,,5089411,87967656,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22523,Vietnam,VNM,VN,2010,37.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,17952,,Vietnamese dong,Year,,,,5089411,87967656,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22524,Vietnam,VNM,VN,2010,37.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,30891,,Vietnamese dong,Year,,,,5089411,87967656,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22525,Vietnam,VNM,VN,2010,42.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,22407,,Vietnamese dong,Year,,,,5089411,87967656,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22526,Vietnam,VNM,VN,2010,39.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,22473,,Vietnamese dong,Year,,,,5089411,87967656,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22527,Vietnam,VNM,VN,2010,40.6,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,18565,,Vietnamese dong,Year,,,,5089411,87967656,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22528,Vietnam,VNM,VN,2010,33.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,17322,,Vietnamese dong,Year,,,,5089411,87967656,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22529,Vietnam,VNM,VN,2010,39.9,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,31511,,Vietnamese dong,Year,,,,5089411,87967656,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22530,Vietnam,VNM,VN,2010,38.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,34681,,Vietnamese dong,Year,,,,5089411,87967656,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22531,Vietnam,VNM,VN,2012,37.7,23.97,29.13,76.53,6.58,12.120000000000001,16.97,21.32,35.5,1.6600000000000001,6.62,17.88,6.7700000000000005,11.120000000000001,15.64,21.7,44.78,2.74,4.03,5.05,6.07,7.19,8.46,9.85,11.85,15.030000000000001,29.75,1.1500000000000001,19.73,Income (net),"Income, net",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,4591,3569,US$2017PPP,Year,,,,5574494,89801928,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,Yes
+22532,Vietnam,VNM,VN,2012,36.64,22.67,27.5,69.98,6.23,11.49,16.11,20.28,34.1,1.58,6.24,18.44,7.04,11.4,15.84,21.8,43.93,2.85,4.19,5.17,6.23,7.3,8.53,9.94,11.86,14.86,29.07,1.18,19.34,Income (net),"Income, net",Equivalized,OECD-modified,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,7796,6149,US$2017PPP,Year,,,,5574494,89801928,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22533,Vietnam,VNM,VN,2012,37.02,23.27,27.91,72.09,6.33,11.71,16.46,20.76,35.21,1.6,6.43,18.19,6.86,11.34,15.74,21.96,44.1,2.72,4.14,5.17,6.17,7.25,8.49,9.98,11.98,15.030000000000001,29.07,1.12,19.35,Income (net),"Income, net",Equivalized,Square root,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,9320,7336,US$2017PPP,Year,,,,5574494,89801928,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22534,Vietnam,VNM,VN,2012,40.39,29.18,32.47,80.89,7.45,13.94,19.82,25.310000000000002,45.37,1.8900000000000001,8.370000000000001,16.26,5.54,10.71,15.370000000000001,21.98,46.39,1.94,3.6,4.8100000000000005,5.9,7.04,8.33,9.91,12.07,15.64,30.75,0.7000000000000001,20.41,Income (net),"Income, net",No adjustment,No adjustment,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,17648,13487,US$2017PPP,Year,,,,5574494,89801928,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22535,Vietnam,VNM,VN,2012,33.68,18.8,20.23,29.48,4.82,9.24,13.33,17.14,30.2,1.33,5.47,19.61,7.58,12.030000000000001,16.39,22.51,41.49,3.1,4.48,5.5200000000000005,6.51,7.58,8.81,10.25,12.26,15.43,26.060000000000002,1.31,16.21,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,3794,3097,US$2017PPP,Year,,,,5574494,89801928,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22536,Vietnam,VNM,VN,2012,32.67,17.64,19,27.13,4.54,8.71,12.57,16.18,28.64,1.26,5.18,20.18,7.87,12.32,16.580000000000002,22.52,40.72,3.23,4.64,5.68,6.63,7.69,8.89,10.27,12.25,15.21,25.51,1.37,15.83,Consumption,Consumption,Equivalized,OECD-modified,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,6453,5322,US$2017PPP,Year,,,,5574494,89801928,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22537,Vietnam,VNM,VN,2012,32.980000000000004,18.07,19.150000000000002,26.62,4.59,8.84,12.81,16.53,29.55,1.28,5.29,19.92,7.71,12.21,16.53,22.77,40.79,3.13,4.58,5.61,6.59,7.67,8.86,10.370000000000001,12.39,15.370000000000001,25.42,1.31,15.76,Consumption,Consumption,Equivalized,Square root,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,7700,6329,US$2017PPP,Year,,,,5574494,89801928,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22538,Vietnam,VNM,VN,2012,36.730000000000004,23.76,23.580000000000002,32.1,5.71,11.09,16.22,21.150000000000002,39.61,1.54,6.95,17.61,6.21,11.41,16.21,23.07,43.11,2.2600000000000002,3.95,5.15,6.26,7.43,8.78,10.47,12.6,15.96,27.14,0.8300000000000001,16.92,Consumption,Consumption,No adjustment,No adjustment,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,14585,11767,US$2017PPP,Year,,,,5574494,89801928,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22539,Vietnam,VNM,VN,2012,42.4,,,,,,,,,,9.34,14.96,5.12,9.84,15,22.22,47.84,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2000,,Vietnamese dong,Month,,,,5574494,89801928,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22540,Vietnam,VNM,VN,2012,,,,,,,,,,,3.84,23.17,9.46,13.71,17.67,22.79,36.37,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1503,,Vietnamese dong,Month,,,,5574494,89801928,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22541,Vietnam,VNM,VN,2012,39.9,,,,,,,,,,8.03,16.06,5.7,10.36,15.55,22.66,45.79,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1579,,Vietnamese dong,Month,,,,5574494,89801928,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22542,Vietnam,VNM,VN,2012,,,,,,,,,,,3.18,25.560000000000002,10.31,15.25,18.76,22.89,32.82,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1226,,Vietnamese dong,Month,,,,5574494,89801928,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22543,Vietnam,VNM,VN,2012,38.5,,,,,,,,,,7.140000000000001,17.56,6.37,11.19,15.610000000000001,21.400000000000002,45.46,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2989,,Vietnamese dong,Month,,,,5574494,89801928,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22544,Vietnam,VNM,VN,2012,,,,,,,,,,,3.35,24.61,10.34,14.27,18.07,22.69,34.59,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2161,,Vietnamese dong,Month,,,,5574494,89801928,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22545,Vietnam,VNM,VN,2012,35.6,,,,,,,,,,6.1000000000000005,18.67,7.05,11.620000000000001,16.11,22.2,43.02,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,23988000,,Vietnamese dong,Month,4.801229114653351e-05,,,5574494,89801928,New 2013,High,12,National statistical authority,General Statistics Office of Vietnam 2012,Vietnam Living Standards Report,Household Living Standards Survey,,No
+22546,Vietnam,VNM,VN,2012,31.7,,,,,,,,,,5.5,19.53,7.34,12.19,16.9,23.2,40.37,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,18948000,,Vietnamese dong,Month,4.801229114653351e-05,,,5574494,89801928,New 2013,High,12,National statistical authority,General Statistics Office of Vietnam 2012,Vietnam Living Standards Report,Household Living Standards Survey,,No
+22547,Vietnam,VNM,VN,2012,34.4,,,,,,,,,,5.99,18.68,7.390000000000001,11.290000000000001,15.57,21.490000000000002,44.26,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,35868000,,Vietnamese dong,Month,4.801229114653351e-05,,,5574494,89801928,New 2013,High,12,National statistical authority,General Statistics Office of Vietnam 2012,Vietnam Living Standards Report,Household Living Standards Survey,,No
+22548,Vietnam,VNM,VN,2012,35.65,,,,,,,,,1.48,6.1000000000000005,18.67,7.05,11.620000000000001,16.11,22.2,43.02,2.8000000000000003,4.25,5.29,6.33,7.43,8.68,10.1,12.1,15.33,27.69,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2894,2329,US$2011PPP,Year,,,,5574494,89801928,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2010-2018,VHLSS,https://pip.worldbank.org/,No
+22549,Vietnam,VNM,VN,2012,37.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,23992,,Vietnamese dong,Year,,,,5574494,89801928,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22550,Vietnam,VNM,VN,2012,35,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,23098,,Vietnamese dong,Year,,,,5574494,89801928,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22551,Vietnam,VNM,VN,2012,37.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,20909,,Vietnamese dong,Year,,,,5574494,89801928,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22552,Vietnam,VNM,VN,2012,33.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,31311,,Vietnamese dong,Year,,,,5574494,89801928,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22553,Vietnam,VNM,VN,2012,39.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,24057,,Vietnamese dong,Year,,,,5574494,89801928,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22554,Vietnam,VNM,VN,2012,35.800000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,22953,,Vietnamese dong,Year,,,,5574494,89801928,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22555,Vietnam,VNM,VN,2012,38.300000000000004,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,20675,,Vietnamese dong,Year,,,,5574494,89801928,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22556,Vietnam,VNM,VN,2012,31.8,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,18680,,Vietnamese dong,Year,,,,5574494,89801928,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22557,Vietnam,VNM,VN,2012,36.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,32097,,Vietnamese dong,Year,,,,5574494,89801928,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22558,Vietnam,VNM,VN,2012,34.6,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,33114,,Vietnamese dong,Year,,,,5574494,89801928,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22559,Vietnam,VNM,VN,2014,35.45,21.240000000000002,22.78,35.76,5.41,10.34,14.89,19.13,33.85,1.46,6.19,18.63,6.88,11.75,16.330000000000002,22.400000000000002,42.63,2.73,4.15,5.3100000000000005,6.44,7.5600000000000005,8.77,10.200000000000001,12.200000000000001,15.35,27.28,1.1400000000000001,17.240000000000002,Income (net),"Income, net",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,4665,3794,US$2017PPP,Year,,,,6098539,91713848,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,Yes
+22560,Vietnam,VNM,VN,2014,34.61,20.25,21.69,33.34,5.16,9.870000000000001,14.24,18.330000000000002,32.72,1.41,5.9,18.990000000000002,7.1000000000000005,11.89,16.57,22.5,41.93,2.84,4.2700000000000005,5.39,6.5,7.68,8.89,10.3,12.19,15.18,26.76,1.18,16.85,Income (net),"Income, net",Equivalized,OECD-modified,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,7935,6576,US$2017PPP,Year,,,,6098539,91713848,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22561,Vietnam,VNM,VN,2014,35.07,20.900000000000002,22.240000000000002,34.24,5.29,10.14,14.64,18.86,33.82,1.44,6.09,18.73,6.94,11.790000000000001,16.57,22.45,42.25,2.74,4.2,5.32,6.47,7.66,8.91,10.31,12.14,15.200000000000001,27.060000000000002,1.12,17.03,Income (net),"Income, net",Equivalized,Square root,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,9461,7799,US$2017PPP,Year,,,,6098539,91713848,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22562,Vietnam,VNM,VN,2014,38.7,26.95,26.96,41.27,6.46,12.48,18.17,23.63,44.18,1.74,7.98,16.55,5.58,10.97,16.14,22.78,44.53,1.97,3.61,4.87,6.1000000000000005,7.36,8.78,10.38,12.4,15.75,28.78,0.72,18.36,Income (net),"Income, net",No adjustment,No adjustment,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,17711,14231,US$2017PPP,Year,,,,6098539,91713848,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22563,Vietnam,VNM,VN,2014,35.42,21.27,25.36,60.5,5.78,10.74,15.14,19.16,32.75,1.46,5.94,18.93,7.21,11.72,16.080000000000002,22.14,42.84,2.88,4.33,5.3500000000000005,6.36,7.42,8.66,10.06,12.08,15.13,27.71,1.19,17.87,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,3933,3155,US$2017PPP,Year,,,,6098539,91713848,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22564,Vietnam,VNM,VN,2014,34.63,20.240000000000002,23.82,48.64,5.48,10.22,14.46,18.32,31.42,1.41,5.68,19.330000000000002,7.43,11.9,16.19,22.240000000000002,42.230000000000004,3.02,4.42,5.45,6.45,7.51,8.68,10.120000000000001,12.120000000000001,15.06,27.17,1.26,17.490000000000002,Consumption,Consumption,Equivalized,OECD-modified,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,6688,5399,US$2017PPP,Year,,,,6098539,91713848,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22565,Vietnam,VNM,VN,2014,34.93,20.62,23.84,46.08,5.51,10.33,14.66,18.63,32.160000000000004,1.42,5.8,19.1,7.3,11.790000000000001,16.16,22.37,42.38,2.93,4.37,5.39,6.4,7.5,8.66,10.18,12.19,15.21,27.17,1.22,17.47,Consumption,Consumption,Equivalized,Square root,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,7952,6397,US$2017PPP,Year,,,,6098539,91713848,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22566,Vietnam,VNM,VN,2014,38.92,26.8,28.97,53.45,6.7700000000000005,12.81,18.34,23.51,42.01,1.74,7.72,16.72,5.82,10.89,15.76,22.57,44.95,2.11,3.71,4.89,6,7.21,8.56,10.18,12.38,15.81,29.14,0.79,18.95,Consumption,Consumption,No adjustment,No adjustment,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,14932,11731,US$2017PPP,Year,,,,6098539,91713848,New 2022,High,13,Luxembourg Income Study,Luxembourg Income Study (LIS),Own construction based on LIS Database through LISSY,Vietnam Household Living Standards Survey (VHLSS),,No
+22567,Vietnam,VNM,VN,2014,43,,,,,,,,,,9.71,14.98,5.01,9.97,14.96,21.46,48.64,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2637,,Vietnamese dong,Month,,,,6098539,91713848,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22568,Vietnam,VNM,VN,2014,,,,,,,,,,,3.79,23.580000000000002,9.39,14.19,17.94,22.900000000000002,35.56,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1763,,Vietnamese dong,Month,,,,6098539,91713848,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22569,Vietnam,VNM,VN,2014,39.800000000000004,,,,,,,,,,8.22,16.16,5.54,10.620000000000001,15.81,22.52,45.54,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2038,,Vietnamese dong,Month,,,,6098539,91713848,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22570,Vietnam,VNM,VN,2014,,,,,,,,,,,3.14,25.54,10.370000000000001,15.17,19.1,22.87,32.55,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1444,,Vietnamese dong,Month,,,,6098539,91713848,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22571,Vietnam,VNM,VN,2014,39.7,,,,,,,,,,7.44,17.38,6.390000000000001,10.99,14.74,20.35,47.53,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,3964,,Vietnamese dong,Month,,,,6098539,91713848,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22572,Vietnam,VNM,VN,2014,,,,,,,,,,,3.16,25.650000000000002,10.450000000000001,15.200000000000001,17.81,23.48,33.04,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2461,,Vietnamese dong,Month,,,,6098539,91713848,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22573,Vietnam,VNM,VN,2014,34.76,,,,,,,,,1.41,5.97,19.07,7.0600000000000005,12.01,16.41,22.36,42.160000000000004,2.71,4.3500000000000005,5.48,6.53,7.59,8.82,10.24,12.120000000000001,15.31,26.84,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,3064,2506,US$2011PPP,Year,,,,6098539,91713848,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2010-2018,VHLSS,https://pip.worldbank.org/,No (overlapping observation)
+22574,Vietnam,VNM,VN,2014,36,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,25843,,Vietnamese dong,Year,,,,6098539,91713848,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22575,Vietnam,VNM,VN,2014,33.6,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,23923,,Vietnamese dong,Year,,,,6098539,91713848,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22576,Vietnam,VNM,VN,2014,36.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,22527,,Vietnamese dong,Year,,,,6098539,91713848,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22577,Vietnam,VNM,VN,2014,31.3,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,33079,,Vietnamese dong,Year,,,,6098539,91713848,New 2020,High,11,Research study,Benjamin et al. 2016,Trimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22578,Vietnam,VNM,VN,2014,37.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,25703,,Vietnamese dong,Year,,,,6098539,91713848,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22579,Vietnam,VNM,VN,2014,34.4,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,23714,,Vietnamese dong,Year,,,,6098539,91713848,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22580,Vietnam,VNM,VN,2014,37.7,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,22385,,Vietnamese dong,Year,,,,6098539,91713848,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22581,Vietnam,VNM,VN,2014,30.900000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,19463,,Vietnamese dong,Year,,,,6098539,91713848,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22582,Vietnam,VNM,VN,2014,32.3,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,32974,,Vietnamese dong,Year,,,,6098539,91713848,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22583,Vietnam,VNM,VN,2014,32.9,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,33032,,Vietnamese dong,Year,,,,6098539,91713848,New 2020,High,11,Research study,Benjamin et al. 2016,Untrimmed sample,Household Living Standards Survey,http://ftp.iza.org/dp10392.pdf,No
+22584,Vietnam,VNM,VN,2016,43.1,,,,,,,,,,9.78,14.77,4.98,9.790000000000001,14.85,21.67,48.72,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,3098,,Vietnamese dong,Month,,,,6767779,93640440,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22585,Vietnam,VNM,VN,2016,,,,,,,,,,,3.94,21.97,8.89,13.08,16.72,21.87,35.06,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2016,,Vietnamese dong,Month,,,,6767779,93640440,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22586,Vietnam,VNM,VN,2016,40.800000000000004,,,,,,,,,,8.46,15.69,5.51,10.18,15.39,22.34,46.59,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2423,,Vietnamese dong,Month,,,,6767779,93640440,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22587,Vietnam,VNM,VN,2016,,,,,,,,,,,3.09,24.71,10.370000000000001,14.34,18.53,22.150000000000002,32.02,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1609,,Vietnamese dong,Month,,,,6767779,93640440,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22588,Vietnam,VNM,VN,2016,39.1,,,,,,,,,,7.32,17.41,6.38,11.03,15.1,20.84,46.68,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,4551,,Vietnamese dong,Month,,,,6767779,93640440,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22589,Vietnam,VNM,VN,2016,,,,,,,,,,,3.37,23.31,9.53,13.780000000000001,17.46,22.38,32.1,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2886,,Vietnamese dong,Month,,,,6767779,93640440,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22590,Vietnam,VNM,VN,2016,35.27,,,,,,,,,1.44,6.16,18.78,6.9,11.88,16.32,22.41,42.5,2.65,4.25,5.41,6.46,7.5600000000000005,8.76,10.21,12.200000000000001,15.38,27.12,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,3538,2878,US$2011PPP,Year,,,,6767779,93640440,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2010-2018,VHLSS,https://pip.worldbank.org/,Yes
+22591,Vietnam,VNM,VN,2018,42.4,,,,,,,,,,10,14.65,4.8100000000000005,9.84,15.14,22.14,48.09,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,3876,,Vietnamese dong,Month,,,,7585944,95545960,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22592,Vietnam,VNM,VN,2018,,,,,,,,,,,3.8000000000000003,23.59,9.540000000000001,14.05,18.04,22.16,36.21,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2368,,Vietnamese dong,Month,,,,7585944,95545960,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22593,Vietnam,VNM,VN,2018,40.7,,,,,,,,,,8.64,15.33,5.37,9.96,15.66,22.64,46.38,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,2990,,Vietnamese dong,Month,,,,7585944,95545960,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22594,Vietnam,VNM,VN,2018,,,,,,,,,,,3.21,28.91,11.73,17.18,21.1,24.72,37.67,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Rural,Rural,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,1908,,Vietnamese dong,Month,,,,7585944,95545960,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22595,Vietnam,VNM,VN,2018,37.2,,,,,,,,,,6.94,17.7,6.43,11.27,15.51,22.13,44.65,,,,,,,,,,,,,Income (gross),"Income, gross",Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,5623,,Vietnamese dong,Month,,,,7585944,95545960,New 2020,High,12,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,https://www.gso.gov.vn/default_en.aspx?tabid=783,No
+22596,Vietnam,VNM,VN,2018,,,,,,,,,,,3.7800000000000002,18.3,7.54,10.76,14.620000000000001,18.05,28.52,,,,,,,,,,,,,Consumption,Consumption,Per capita,Per capita,Household,Person,Urban,Urban,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,3285,,Vietnamese dong,Month,,,,7585944,95545960,New 2020,High,11,National statistical authority,General Statistics Office of Vietnam,Online database,Household Living Standards Survey,"https://www.gso.gov.vn/SLTKE/pxweb/en/11.%20Health,%20Culture,%20Sport%20and%20Living%20standard/?rxid=b8b0dac1-746e-436b-afe7-09033625a27e",No
+22597,Vietnam,VNM,VN,2018,35.72,,,,,,,,,1.48,6.4,18.57,6.7,11.870000000000001,16.28,22.28,42.88,2.52,4.17,5.38,6.48,7.55,8.72,10.13,12.15,15.42,27.46,,,Consumption,Consumption,Per capita,Per capita,Household,Person,All,All,All,All,Asia,South-eastern Asia,East Asia and the Pacific,Non-EU,Non-OECD,Lower middle income,3936,3194,US$2011PPP,Year,,,,7585944,95545960,New 2022,Average,13,World Bank,Poverty and Inequality Platform (PIP),Series 2010-2018,VHLSS,https://pip.worldbank.org/,Yes
diff --git a/data/cleaned/WB-WDI/WDI-2022_cty-select.csv b/data/cleaned/WB-WDI/WDI-2022_cty-select.csv
new file mode 100644
index 0000000..878eabb
--- /dev/null
+++ b/data/cleaned/WB-WDI/WDI-2022_cty-select.csv
@@ -0,0 +1,1836 @@
+Country Name,Country Code,Series Name,Series Code,1997 [YR1997],1998 [YR1998],1999 [YR1999],2000 [YR2000],2001 [YR2001],2002 [YR2002],2003 [YR2003],2004 [YR2004],2005 [YR2005],2006 [YR2006],2007 [YR2007],2008 [YR2008],2009 [YR2009],2010 [YR2010],2011 [YR2011],2012 [YR2012],2013 [YR2013],2014 [YR2014],2015 [YR2015],2016 [YR2016],2017 [YR2017],2018 [YR2018],2019 [YR2019],2020 [YR2020],2021 [YR2021]
+Benin,BEN,Adequacy of social insurance programs (% of total welfare of beneficiary households),per_si_allsi.adq_pop_tot,..,..,..,..,..,..,39.4935883219468,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Adequacy of social protection and labor programs (% of total welfare of beneficiary households),per_allsp.adq_pop_tot,..,..,..,..,..,..,39.4935883219468,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Adequacy of social safety net programs (% of total welfare of beneficiary households),per_sa_allsa.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households),per_lm_alllm.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Adjusted net national income (annual % growth),NY.ADJ.NNTY.KD.ZG,7.460076894498769,4.1488429126705455,10.642323188506552,8.783816959373695,7.515878476376599,8.281848698089632,5.118679760267611,6.5949077140947026,0.612001105702987,3.8514044536322274,5.561371164219736,5.268831202594626,2.3055405356641643,1.94547552773507,4.798355271718947,6.285692089732592,10.005816434423664,6.268409687834264,3.2625503876265753,4.484886262378126,3.6839093626205965,6.288557458163041,7.964898457719656,3.0223722710386056,..
+Benin,BEN,Adjusted net national income (constant 2015 US$),NY.ADJ.NNTY.KD,3808265840.898681,3966264808.3344593,4388367527.749413,4773833698.891514,5132629238.364514,5557705826.119774,5842186989.376579,6227473829.810812,6265586038.5066185,6506899098.239821,6868771908.374205,7230675905.917679,7397382069.931113,7541296327.794685,7903154517.695371,8399922476.053493,9240403299.6413,9819629635.270973,10140000000,10594767467.005142,10985069097.670025,11675871479.695915,12605842787.107544,12986838284.035803,..
+Benin,BEN,Adjusted net national income (current US$),NY.ADJ.NNTY.CD,1655000000,1816000000,2906000000,2810000000,3003000000,3511000000,4521000000,5259000000,5627000000,6025000000,7014000000,8416000000,8298000000,8093000000,9176000000,9660000000,11030000000,11770000000,10140000000,10530000000,11210000000,12580000000,12670000000,13740000000,..
+Benin,BEN,Adjusted net national income per capita (annual % growth),NY.ADJ.NNTY.PC.KD.ZG,4.25470429970099,1.1125422318710463,7.424264764932204,5.5858074279343555,4.313492868648353,5.036213308870586,1.971558528791789,3.439053220841487,-2.315017958631131,0.885464762908029,2.591133758458696,2.3381120044734303,-0.5286597716745263,-0.8753296469350857,1.9008681931342153,3.3533257542266597,6.9783071224961475,3.3526716955955607,0.43958465120262247,1.6391527470782847,0.8715490375364539,3.4211072929254556,5.07285582214449,0.28563185627585597,..
+Benin,BEN,Adjusted net national income per capita (constant 2015 US$),NY.ADJ.NNTY.PC.KD,606.2530510959681,612.9978723214175,658.5084573659606,695.2914716910843,725.2828197387994,761.8096096334367,776.82913196532,803.5446992486083,784.9424951553744,791.8928843590663,812.4118882165263,831.4069881006861,827.0116738157069,819.7725954511839,835.3553919741463,863.3675794725364,923.6160207641909,954.581833668338,958.7780288923126,974.4938652912841,982.9870571950822,1016.6160990972962,1068.1875680692115,1071.2386520483954,..
+Benin,BEN,Adjusted net national income per capita (current US$),NY.ADJ.NNTY.PC.CD,263.4660607955497,280.66813234367936,436.0677552654506,409.26625406025624,424.3486537846304,481.26216519998906,601.1523616073067,678.5803824850133,704.9414680597122,733.2455223647187,829.5889075896622,967.6994658450726,927.6988540604937,879.7452489082267,969.8938644805862,992.8818797412422,1102.493514479448,1144.180442602436,958.7780288923126,968.5366322077338,1003.1147563281239,1095.3384121162887,1073.6240897180282,1133.3643152574098,..
+Benin,BEN,"Adjusted net savings, excluding particulate emission damage (% of GNI)",NY.ADJ.SVNX.GN.ZS,-7.8563738,-7.9152741,-6.3923992,-5.2833986,-2.7004878,-0.3975237,-1.5541854,1.2348543,0.77333878,0.67165407,2.333743,1.4537194,-0.05124708,0.05147239,1.466368,4.2638314,8.3423977,10.842891,4.796483,8.1240124,7.5772256,9.7765162,11.367239,..,..
+Benin,BEN,"Adjusted net savings, excluding particulate emission damage (current US$)",NY.ADJ.SVNX.CD,-175900000,-193300000,-234300000,-185300000,-98611918,-16561117,-82544016,75983096,50652832,47041791,189500000,142100000,-4973784.8,4880513.4,156600000,472200000,1039000000,1434000000,541800000,952000000,951800000,1379000000,1620000000,..,..
+Benin,BEN,"Adjusted net savings, including particulate emission damage (% of GNI)",NY.ADJ.SVNG.GN.ZS,-11.81893,-11.620987,-9.8926358,-8.6533954,-5.9602956,-3.6292742,-4.7421801,-1.9218607,-2.3445833,-2.3496343,-0.54236603,-1.3409455,-2.8717367,-2.7892416,-1.3388214,1.5071753,5.7536198,8.3991596,2.2765619,5.6249858,5.1581021,7.524271,9.2280612,..,..
+Benin,BEN,"Adjusted net savings, including particulate emission damage (current US$)",NY.ADJ.SVNG.CD,-264600000,-283700000,-362600000,-303500000,-217600000,-151200000,-251900000,-118300000,-153600000,-164600000,-44042970,-131100000,-278700000,-264500000,-143000000,166900000,716300000,1111000000,257200000,659200000,647900000,1061000000,1315000000,..,..
+Benin,BEN,Adjusted savings: carbon dioxide damage (% of GNI),NY.ADJ.DCO2.GN.ZS,0.91768323,0.91452214,0.69041468,0.81902865,0.98129066,1.0272022,0.94891348,0.90691805,0.98732206,1.3462082,1.4035137,1.1974573,1.3382211,1.5382325,1.3892496,1.3382896,1.3060932,1.4049983,1.8491761,2.211708,2.1923467,2.1970357,2.4567584,2.4787804,..
+Benin,BEN,Adjusted savings: carbon dioxide damage (current US$),NY.ADJ.DCO2.CD,20542169,22329912,25304050,28729015,35833139,42793965,50397546,55804513,64668499,94286698,114000000,117100000,129900000,145900000,148300000,148200000,162600000,185800000,208900000,259200000,275400000,309900000,350000000,383900000,..
+Benin,BEN,Adjusted savings: consumption of fixed capital (% of GNI),NY.ADJ.DKAP.GN.ZS,18.157611,18.105248,17.504345,16.535564,15.997088,15.199311,14.858532,14.524671,14.082907,13.979484,13.620828,13.914113,14.50512,14.649934,14.059719,12.769928,11.41334,10.989202,10.2238,10.114359,10.688633,10.72171,10.965227,11.249337,..
+Benin,BEN,Adjusted savings: consumption of fixed capital (current US$),NY.ADJ.DKAP.CD,406500000,442100000,641500000,580000000,584200000,633200000,789100000,893700000,922400000,979100000,1106000000,1360000000,1408000000,1389000000,1501000000,1414000000,1421000000,1453000000,1155000000,1185000000,1343000000,1512000000,1562000000,1742000000,..
+Benin,BEN,Adjusted savings: education expenditure (% of GNI),NY.ADJ.AEDU.GN.ZS,2.7130914,2.7196042,2.52,2.69,2.71,2.65,2.82,3.33,3.62,3.48,3.23,3.91,4.3,4.79,4.775,4.76,4.69,4.55,2.9331393,2.9331393,2.9331393,2.9331393,2.9331393,2.9331393,..
+Benin,BEN,Adjusted savings: education expenditure (current US$),NY.ADJ.AEDU.CD,60732049,66404651,92359284,94356956,98959269,110400000,149800000,204900000,237100000,243700000,262300000,382300000,417300000,454200000,509900000,527200000,583900000,601700000,331300000,343700000,368400000,413700000,417900000,454300000,..
+Benin,BEN,Adjusted savings: energy depletion (% of GNI),NY.ADJ.DNGY.GN.ZS,0.08659066,0.03937341,0.05772929,0.07477026,0.04941262,0.05319417,0.01449184,0,0,0,0,0,0,0,0,0,0,0,0.03924884,0.03795196,0.06833618,0.09225986,0.08206466,0.03883475,..
+Benin,BEN,Adjusted savings: energy depletion (current US$),NY.ADJ.DNGY.CD,1938315.8,961381.57,2115807.9,2622711.5,1804367.7,2216106.6,769673.2,0,0,0,0,0,0,0,0,0,0,0,4433408.5,4447327.7,8583992.2,13014145,11692738,6015050.7,..
+Benin,BEN,Adjusted savings: gross savings (% of GNI),NY.ADJ.ICTR.GN.ZS,16.403499,15.885212,12.498482,12.728348,13.331974,13.705673,11.448099,13.336726,12.223996,12.518683,14.129116,12.656423,11.493484,11.451556,12.143275,13.614717,16.37343,18.688322,13.975569,17.554892,17.593402,19.854382,21.93815,..,..
+Benin,BEN,Adjusted savings: mineral depletion (% of GNI),NY.ADJ.DMIN.GN.ZS,0,0.02866775,0.00037464,0,0.00061317,0.00121215,0.00034751,0.00028287,0.00042801,0.00133693,0.00103137,0.00113241,0.00139054,0.00191784,0.00293903,0.00266813,0.00159958,0.00123001,0,0,0,0,0,0,..
+Benin,BEN,Adjusted savings: mineral depletion (current US$),NY.ADJ.DMIN.CD,0,699981.25,13730.818,0,22390.736,50498.914,18456.266,17405.569,28034.224,93636.926,83752.299,110709.05,134958.37,181845.83,313824.21,295484.89,199129.36,162647.7,0,0,0,0,0,0,..
+Benin,BEN,Adjusted savings: natural resources depletion (% of GNI),NY.ADJ.DRES.GN.ZS,7.8976694599999995,7.50031976,3.21612203,3.34715446,1.76408309,0.52668388,0.014839350000000001,0.00028287,0.00042801,0.00133693,0.00103137,0.00113241,0.00139054,0.00191784,0.00293903,0.00266813,0.00159958,0.00123001,0.03924884,0.03795196,0.06833618,0.09225986,0.08206466,0.03883475,..
+Benin,BEN,Adjusted savings: net forest depletion (% of GNI),NY.ADJ.DFOR.GN.ZS,7.8110788,7.4322786,3.1580181,3.2723842,1.7140573,0.47227756,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,..
+Benin,BEN,Adjusted savings: net forest depletion (current US$),NY.ADJ.DFOR.CD,174800000,181500000,115700000,114800000,62591090,19675416,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,..
+Benin,BEN,Adjusted savings: net national savings (% of GNI),NY.ADJ.NNAT.GN.ZS,-1.7541125,-2.2200364,-5.0058625,-3.8072154,-2.6651141,-1.4936377,-3.4104326,-1.1879448,-1.8589112,-1.4608008,0.5082881,-1.2576909,-3.0116355,-3.1983773,-1.9164433,0.84478913,4.9600904,7.6991198,3.7517687,7.4405331,6.9047692,9.1326725,10.972923,..,..
+Benin,BEN,Adjusted savings: net national savings (current US$),NY.ADJ.NNAT.CD,-39265483,-54206691,-183500000,-133500000,-97320200,-62225996,-181100000,-73096661,-121800000,-102300000,41275663,-123000000,-292300000,-303300000,-204600000,93557222,617500000,1018000000,423800000,871900000,867300000,1288000000,1563000000,..,..
+Benin,BEN,Adjusted savings: particulate emission damage (% of GNI),NY.ADJ.DPEM.GN.ZS,3.962556,3.7057132,3.5002366,3.3699968,3.2598078,3.2317505,3.1879947,3.156715,3.1179221,3.0212884,2.876109,2.7946649,2.8204897,2.840714,2.8051894,2.7566561,2.5887779,2.4437319,2.519921,2.4990266,2.4191234,2.2522453,2.139178,2.0635697,..
+Benin,BEN,Adjusted savings: particulate emission damage (current US$),NY.ADJ.DPEM.CD,88701082,90482501,128300000,118200000,119000000,134600000,169300000,194200000,204200000,211600000,233600000,273200000,273700000,269400000,299500000,305300000,322300000,323100000,284600000,292800000,303900000,317700000,304800000,319600000,..
+Benin,BEN,"Agriculture, forestry, and fishing, value added (annual % growth)",NV.AGR.TOTL.KD.ZG,6.083006752761392,5.246946549090879,5.982777428264384,4.570041300937831,8.74080530160822,3.037345065464251,1.7739885597203084,7.118103039707037,1.426646302700945,7.067705607612339,6.03157949139927,2.0955690772555045,7.7823524832687525,-0.8338778557617985,0.9518949108689156,5.4444408498339385,6.1095239574537885,8.257282707352687,0.022744418812919776,8.966194504004093,7.564112603053431,7.329068917347996,5.159579593200931,1.7533296607470845,..
+Benin,BEN,"Agriculture, forestry, and fishing, value added (constant 2015 US$)",NV.AGR.TOTL.KD,1372701953.2935493,1444726891.0611882,1531161685.3996627,1601136406.8065631,1741088622.7386904,1793971492.1068034,1825796341.1414218,1955758405.9990692,1983660160.988018,2123859421.4221401,2251961690.710789,2299153103.5329647,2478081302.179913,2457417130.953261,2480809159.561626,2615875346.851221,2775692877.864224,3004889685.8773265,3005573130.5723486,3275058663.41955,3522787788.536661,3780975333.3704324,3976057765.094974,4045771165.218822,..
+Benin,BEN,"Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)",NV.AGR.EMPL.KD,1126.2916443183994,1155.9865032555165,1198.3674013893465,1226.684844192859,1307.6616275145896,1319.815679088329,1309.7511120902832,1369.5684958695006,1354.669726935603,1422.7836227189955,1484.2465339358514,1490.0594340761584,1577.7477798931047,1535.2728553281547,1549.2770083844466,1606.4001212415449,1683.3039468511593,1796.2675315189167,1760.6038451816657,1881.7264858736896,1996.3663114326446,2117.9377553591444,2203.838507313441,..,..
+Benin,BEN,"Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)",SI.SPR.PC40.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,-5.19,..,..,..,..,..,..
+Benin,BEN,"Annualized average growth rate in per capita real survey mean consumption or income, total population (%)",SI.SPR.PCAP.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,0.07,..,..,..,..,..,..
+Benin,BEN,"Average working hours of children, study and work, ages 7-14 (hours per week)",SL.TLF.0714.SW.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10.6,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Average working hours of children, study and work, female, ages 7-14 (hours per week)",SL.TLF.0714.SW.FE.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10.2,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Average working hours of children, study and work, male, ages 7-14 (hours per week)",SL.TLF.0714.SW.MA.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,11,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Average working hours of children, working only, ages 7-14 (hours per week)",SL.TLF.0714.WK.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,20.4,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Average working hours of children, working only, female, ages 7-14 (hours per week)",SL.TLF.0714.WK.FE.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,15.8,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Average working hours of children, working only, male, ages 7-14 (hours per week)",SL.TLF.0714.WK.MA.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,25.6,..,..,..,..,..,..,..,..,..
+Benin,BEN,Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits),per_si_allsi.ben_q1_tot,..,..,..,..,..,..,2.46715882110261,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits),per_allsp.ben_q1_tot,..,..,..,..,..,..,2.46715882110261,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits),per_sa_allsa.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits),per_lm_alllm.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Child employment in agriculture (% of economically active children ages 7-14),SL.AGR.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Child employment in agriculture, female (% of female economically active children ages 7-14)",SL.AGR.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Child employment in agriculture, male (% of male economically active children ages 7-14)",SL.AGR.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Child employment in manufacturing (% of economically active children ages 7-14),SL.MNF.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Child employment in manufacturing, female (% of female economically active children ages 7-14)",SL.MNF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Child employment in manufacturing, male (% of male economically active children ages 7-14)",SL.MNF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Child employment in services (% of economically active children ages 7-14),SL.SRV.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Child employment in services, female (% of female economically active children ages 7-14)",SL.SRV.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Child employment in services, male (% of male economically active children ages 7-14)",SL.SRV.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, female (% of female children ages 7-14)",SL.TLF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,76.1,..,..,..,..,..,23.7,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, male (% of male children ages 7-14)",SL.TLF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,72.8,..,..,..,..,..,24.4,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, self-employed (% of children in employment, ages 7-14)",SL.SLF.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, self-employed, female (% of female children in employment, ages 7-14)",SL.SLF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, self-employed, male (% of male children in employment, ages 7-14)",SL.SLF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, study and work (% of children in employment, ages 7-14)",SL.TLF.0714.SW.ZS,..,..,..,..,..,..,..,..,..,63.9,..,..,..,..,..,67.6,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, study and work, female (% of female children in employment, ages 7-14)",SL.TLF.0714.SW.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,63.7,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, study and work, male (% of male children in employment, ages 7-14)",SL.TLF.0714.SW.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,71.2,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, total (% of children ages 7-14)",SL.TLF.0714.ZS,..,..,..,..,..,..,..,..,..,74.4,..,..,..,..,..,24.1,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, unpaid family workers (% of children in employment, ages 7-14)",SL.FAM.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,80.48,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14)",SL.FAM.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,80.57,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14)",SL.FAM.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,80.39,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, wage workers (% of children in employment, ages 7-14)",SL.WAG.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4.79,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, wage workers, female (% of female children in employment, ages 7-14)",SL.WAG.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4.42,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, wage workers, male (% of male children in employment, ages 7-14)",SL.WAG.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.14,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, work only (% of children in employment, ages 7-14)",SL.TLF.0714.WK.ZS,..,..,..,..,..,..,..,..,..,36.1,..,..,..,..,..,32.4,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, work only, female (% of female children in employment, ages 7-14)",SL.TLF.0714.WK.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,36.3,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Children in employment, work only, male (% of male children in employment, ages 7-14)",SL.TLF.0714.WK.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,28.8,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Community health workers (per 1,000 people)",SH.MED.CMHW.P3,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Contributing family workers, female (% of female employment) (modeled ILO estimate)",SL.FAM.WORK.FE.ZS,22.2700004577637,22.6299991607666,21.7800006866455,21.6100006103516,20.5400009155273,20.2700004577637,19.9500007629395,20.5900001525879,20.0400009155273,20.3999996185303,20.9899997711182,22.0300006866455,21.6299991607666,21.0799999237061,21.2099990844727,21.5100002288818,21.0100002288818,20.2800006866455,18.9099998474121,19.6200008392334,18.25,17.8700008392334,16.3600006103516,..,..
+Benin,BEN,"Contributing family workers, male (% of male employment) (modeled ILO estimate)",SL.FAM.WORK.MA.ZS,17.7299995422363,17.6800003051758,16.9300003051758,16.5699996948242,15.7399997711182,15.3299999237061,14.8599996566772,14.8599996566772,14.2200002670288,14,13.9399995803833,14.1000003814697,13.5900001525879,13,12.7399997711182,12.539999961853,12.1000003814697,11.6499996185303,10.8800001144409,10.9399995803833,10.210000038147,9.90999984741211,9.22999954223633,..,..
+Benin,BEN,"Contributing family workers, total (% of total employment) (modeled ILO estimate)",SL.FAM.WORK.ZS,19.7399997711182,19.8999996185303,19.1399993896484,18.8899993896484,17.9799995422363,17.6599998474121,17.2800006866455,17.6000003814697,17.0200004577637,17.1100006103516,17.3899993896484,18,17.5699996948242,17.0200004577637,16.8899993896484,16.9300003051758,16.4599990844727,15.8800001144409,14.8199996948242,15.1999998092651,14.1499996185303,13.8199996948242,12.7399997711182,..,..
+Benin,BEN,Coverage of social insurance programs (% of population),per_si_allsi.cov_pop_tot,..,..,..,..,..,..,6.62698090721438,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of social insurance programs in 2nd quintile (% of population),per_si_allsi.cov_q2_tot,..,..,..,..,..,..,3.53466922326565,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of social insurance programs in 3rd quintile (% of population),per_si_allsi.cov_q3_tot,..,..,..,..,..,..,6.61650964344154,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of social insurance programs in 4th quintile (% of population),per_si_allsi.cov_q4_tot,..,..,..,..,..,..,7.18552810158589,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of social insurance programs in poorest quintile (% of population),per_si_allsi.cov_q1_tot,..,..,..,..,..,..,3.60006406603271,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of social insurance programs in richest quintile (% of population),per_si_allsi.cov_q5_tot,..,..,..,..,..,..,12.1946319212424,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of social protection and labor programs (% of population),per_allsp.cov_pop_tot,..,..,..,..,..,..,6.62698090721438,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of social safety net programs (% of population),per_sa_allsa.cov_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of social safety net programs in 2nd quintile (% of population),per_sa_allsa.cov_q2_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of social safety net programs in 3rd quintile (% of population),per_sa_allsa.cov_q3_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of social safety net programs in 4th quintile (% of population),per_sa_allsa.cov_q4_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of social safety net programs in poorest quintile (% of population),per_sa_allsa.cov_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of social safety net programs in richest quintile (% of population),per_sa_allsa.cov_q5_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of unemployment benefits and ALMP (% of population),per_lm_alllm.cov_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of unemployment benefits and ALMP in 2nd quintile (% of population),per_lm_alllm.cov_q2_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of unemployment benefits and ALMP in 3rd quintile (% of population),per_lm_alllm.cov_q3_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of unemployment benefits and ALMP in 4th quintile (% of population),per_lm_alllm.cov_q4_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of unemployment benefits and ALMP in poorest quintile (% of population),per_lm_alllm.cov_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Coverage of unemployment benefits and ALMP in richest quintile (% of population),per_lm_alllm.cov_q5_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Current health expenditure (% of GDP),SH.XPD.CHEX.GD.ZS,..,..,..,3.10270309,3.24910021,3.04335403,3.0376544,3.0760572,2.93478322,2.97331023,2.8938241,2.69675088,2.82528329,2.99710441,3.09628272,3.41449857,2.85861206,2.66743827,2.90741682,2.73950028,2.61910868,2.50416446,2.38842916,..,..
+Benin,BEN,Current health expenditure per capita (current US$),SH.XPD.CHEX.PC.CD,..,..,..,15.90676403,16.83250046,17.49715614,21.60637474,24.56986427,24.14694977,25.45315742,27.96020699,30.34991455,30.76049805,31.06598282,34.99642563,39.10080719,35.76725006,34.44753647,31.30697823,29.78626442,29.76860428,31.07242012,29.12529182,..,..
+Benin,BEN,"Current health expenditure per capita, PPP (current international $)",SH.XPD.CHEX.PP.CD,..,..,..,54.59894562,59.7120285,57.67155075,58.83573914,62.00225067,60.23723984,63.48798752,65.35675049,63.31762695,66.49680328,70.8550415,74.81626129,85.31114197,76.31606293,75.57946777,83.93218231,82.31678009,79.73914337,81.07919312,81.98957825,..,..
+Benin,BEN,Domestic general government health expenditure (% of current health expenditure),SH.XPD.GHED.CH.ZS,..,..,..,26.01166344,28.53469849,23.84386253,21.88357353,23.7856369,23.26777649,24.19742012,20.59366989,20.87325668,26.45173454,24.17091942,25.70649338,21.86915207,26.74820328,21.56858063,20.13637733,20.98593903,31.09478951,19.60268784,22.65070915,..,..
+Benin,BEN,Domestic general government health expenditure (% of GDP),SH.XPD.GHED.GD.ZS,..,..,..,0.80706477,0.92712092,0.72565317,0.66474736,0.73165977,0.68285877,0.71946436,0.59594458,0.56289971,0.74733645,0.7244277,0.7959457,0.74672192,0.7646274,0.57532859,0.58544844,0.57490981,0.81440628,0.4908835,0.54099613,..,..
+Benin,BEN,Domestic general government health expenditure (% of general government expenditure),SH.XPD.GHED.GE.ZS,..,..,..,5.15978622,6.00176048,4.74779558,4.85716248,5.47668171,4.82977295,5.53186369,3.76954269,3.86888194,4.39692497,5.1466217,5.40438175,5.24533272,5.1337862,4.04461384,3.22514915,3.72646332,4.57916498,2.96292353,3.70517755,..,..
+Benin,BEN,Domestic general government health expenditure per capita (current US$),SH.XPD.GHED.PC.CD,..,..,..,4.13761427,4.80310303,4.17199789,4.72824725,5.84409875,5.61845783,6.15900737,5.75803293,6.33501556,8.13668494,7.50893353,8.99635359,8.5510144,9.56709618,7.42984444,6.30409164,6.25092677,9.25648525,6.09102944,6.59708499,..,..
+Benin,BEN,"Domestic general government health expenditure per capita, PPP (current international $)",SH.XPD.GHED.PP.CD,..,..,..,14.20209477,17.03864644,13.75112553,12.87536295,14.74763114,14.01586586,15.36245543,13.45935385,13.21645015,17.58955851,17.12631411,19.23263826,18.65682176,20.41317617,16.30141783,16.9009011,17.27494906,24.79471854,15.89370181,18.57121843,..,..
+Benin,BEN,Domestic private health expenditure (% of current health expenditure),SH.XPD.PVTD.CH.ZS,..,..,..,57.24701691,54.43483734,57.72973251,58.15346146,56.0488205,56.47822571,55.7960701,54.41661072,53.18040848,51.54034424,50.07919693,48.43403244,41.89283371,47.81689453,49.83951187,45.6293869,48.45129013,49.42943573,50.35248566,53.01073074,..,..
+Benin,BEN,Domestic private health expenditure per capita (current US$),SH.XPD.PVTD.PC.CD,..,..,..,9.10614845,9.16274386,10.10106241,12.56485486,13.77111926,13.63776869,14.20185973,15.21499703,16.14020927,15.85406611,15.55759509,16.95017944,16.38043606,17.10278844,17.16848281,14.28518296,14.43182868,14.71445462,15.64573608,15.43953105,..,..
+Benin,BEN,"Domestic private health expenditure per capita, PPP (current international $)",SH.XPD.PVTD.PP.CD,..,..,..,31.25626871,32.50414408,33.29363556,34.21501843,34.75153241,34.02092572,35.42379866,35.56492838,33.67257257,34.27268296,35.48363551,36.23653365,35.73925401,36.49197487,37.66843493,38.2977403,39.88354278,39.41461051,40.8253919,43.46327264,..,..
+Benin,BEN,"Employers, female (% of female employment) (modeled ILO estimate)",SL.EMP.MPYR.FE.ZS,0.550000011920929,0.550000011920929,0.600000023841858,0.610000014305115,0.620000004768372,0.629999995231628,0.620000004768372,0.629999995231628,0.629999995231628,0.629999995231628,0.649999976158142,0.649999976158142,0.639999985694885,0.649999976158142,0.649999976158142,0.660000026226044,0.680000007152557,0.699999988079071,0.680000007152557,0.699999988079071,0.709999978542328,0.720000028610229,0.730000019073486,..,..
+Benin,BEN,"Employers, male (% of male employment) (modeled ILO estimate)",SL.EMP.MPYR.MA.ZS,1.5,1.51999998092651,1.66999995708466,1.67999994754791,1.70000004768372,1.73000001907349,1.71000003814697,1.74000000953674,1.75999999046326,1.75999999046326,1.78999996185303,1.78999996185303,1.77999997138977,1.80999994277954,1.83000004291534,1.8400000333786,1.85000002384186,1.88999998569489,1.85000002384186,1.91999995708466,1.91999995708466,1.91999995708466,1.9099999666214,..,..
+Benin,BEN,"Employers, total (% of total employment) (modeled ILO estimate)",SL.EMP.MPYR.ZS,1.08000004291534,1.08000004291534,1.17999994754791,1.19000005722046,1.19000005722046,1.21000003814697,1.19000005722046,1.21000003814697,1.22000002861023,1.22000002861023,1.23000001907349,1.23000001907349,1.22000002861023,1.23000001907349,1.25,1.26999998092651,1.27999997138977,1.30999994277954,1.27999997138977,1.33000004291534,1.32000005245209,1.33000004291534,1.33000004291534,..,..
+Benin,BEN,Employment in agriculture (% of total employment) (modeled ILO estimate),SL.AGR.EMPL.ZS,49.5099983215332,49.25,48.8499984741211,48.3899993896484,47.9099998474121,47.4599990844727,47.0699996948242,46.6500015258789,46.3199996948242,45.8800010681152,45.3400001525879,44.8499984741211,44.4500007629395,44.0699996948242,43.6100006103516,43.0299987792969,42.2700004577637,41.560001373291,41.0800018310547,40.5900001525879,39.8699989318848,39.0800018310547,38.2700004577637,..,..
+Benin,BEN,"Employment in agriculture, female (% of female employment) (modeled ILO estimate)",SL.AGR.EMPL.FE.ZS,43.25,42.9099998474121,42.5,42.0499992370605,41.5400009155273,40.9099998474121,40.5299987792969,39.8499984741211,39.4500007629395,38.8800010681152,38.2799987792969,37.7400016784668,37.2700004577637,36.8600006103516,36.1199989318848,35.4000015258789,34.5699996948242,33.7599983215332,33.1699981689453,32.3199996948242,31.4799995422363,30.6299991607666,29.7600002288818,..,..
+Benin,BEN,"Employment in agriculture, male (% of male employment) (modeled ILO estimate)",SL.AGR.EMPL.MA.ZS,54.5099983215332,54.4300003051758,54.1399993896484,53.810001373291,53.4799995422363,53.2999992370605,52.9900016784668,52.8800010681152,52.7099990844727,52.4900016784668,52.0900001525879,51.7400016784668,51.5,51.2000007629395,50.810001373291,50.3499984741211,49.6599998474121,49.060001373291,48.689998626709,48.5400009155273,47.9500007629395,47.25,46.4900016784668,..,..
+Benin,BEN,Employment in industry (% of total employment) (modeled ILO estimate),SL.IND.EMPL.ZS,20.1800003051758,20.0599994659424,20.0100002288818,19.9099998474121,19.7999992370605,19.7099990844727,19.6000003814697,19.4400005340576,19.3700008392334,19.2399997711182,19.0499992370605,18.8600006103516,18.7600002288818,18.6499996185303,18.5499992370605,18.4599990844727,18.4400005340576,18.3899993896484,18.4300003051758,18.2800006866455,18.2800006866455,18.2800006866455,18.3099994659424,..,..
+Benin,BEN,"Employment in industry, female (% of female employment) (modeled ILO estimate)",SL.IND.EMPL.FE.ZS,20.3600006103516,20.1599998474121,19.9799995422363,19.7199993133545,19.4500007629395,19.2900009155273,19.0499992370605,18.8299999237061,18.7099990844727,18.5,18.1399993896484,17.7999992370605,17.6399993896484,17.4500007629395,17.2700004577637,17.0699996948242,16.8799991607666,16.7000007629395,16.7099990844727,16.5100002288818,16.4099998474121,16.2700004577637,16.1599998474121,..,..
+Benin,BEN,"Employment in industry, male (% of male employment) (modeled ILO estimate)",SL.IND.EMPL.MA.ZS,20.0300006866455,19.9899997711182,20.0400009155273,20.0799999237061,20.1000003814697,20.0799999237061,20.1000003814697,20.0100002288818,19.9799995422363,19.9400005340576,19.9200000762939,19.8899993896484,19.8600006103516,19.8500003814697,19.7800006866455,19.7999992370605,19.9300003051758,20.0100002288818,20.0799999237061,19.9699993133545,20.0799999237061,20.2199993133545,20.3799991607666,..,..
+Benin,BEN,Employment in services (% of total employment) (modeled ILO estimate),SL.SRV.EMPL.ZS,30.3099994659424,30.6900005340576,31.1399993896484,31.7000007629395,32.2900009155273,32.8400001525879,33.3300018310547,33.9099998474121,34.310001373291,34.8800010681152,35.6100006103516,36.2900009155273,36.7900009155273,37.2799987792969,37.8400001525879,38.5,39.2900009155273,40.0499992370605,40.4900016784668,41.1399993896484,41.8499984741211,42.6399993896484,43.4199981689453,..,..
+Benin,BEN,"Employment in services, female (% of female employment) (modeled ILO estimate)",SL.SRV.EMPL.FE.ZS,36.3899993896484,36.939998626709,37.5299987792969,38.2400016784668,39.0099983215332,39.810001373291,40.4199981689453,41.3199996948242,41.8400001525879,42.6300010681152,43.5800018310547,44.4599990844727,45.0999984741211,45.689998626709,46.6100006103516,47.5299987792969,48.5400009155273,49.5400009155273,50.1300010681152,51.1699981689453,52.0999984741211,53.0999984741211,54.0800018310547,..,..
+Benin,BEN,"Employment in services, male (% of male employment) (modeled ILO estimate)",SL.SRV.EMPL.MA.ZS,25.4599990844727,25.5900001525879,25.8199996948242,26.1200008392334,26.4200000762939,26.6200008392334,26.9099998474121,27.1100006103516,27.3099994659424,27.5699996948242,27.9899997711182,28.3700008392334,28.6399993896484,28.9500007629395,29.4099998474121,29.8500003814697,30.4200000762939,30.9300003051758,31.2299995422363,31.4899997711182,31.9799995422363,32.5299987792969,33.1199989318848,..,..
+Benin,BEN,"Employment to population ratio, 15+, female (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.FE.ZS,60.632999420166,61.4620018005371,62.3190002441406,63.201000213623,64.109001159668,65.0479965209961,65.4449996948242,65.8470001220703,66.2470016479492,66.6600036621094,67.0770034790039,67.4889984130859,67.8980026245117,68.3140029907227,67.5950012207031,67.7480010986328,67.911003112793,68.0589981079102,68.193000793457,68.3560028076172,68.5289993286133,68.7020034790039,68.7610015869141,68.0210037231445,68.0439987182617
+Benin,BEN,"Employment to population ratio, 15+, female (%) (national estimate)",SL.EMP.TOTL.SP.FE.NE.ZS,..,..,..,..,..,..,75.129997253418,..,..,..,..,..,..,73.7900009155273,67.7099990844727,..,..,..,..,..,..,55.6399993896484,..,..,..
+Benin,BEN,"Employment to population ratio, 15+, male (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.MA.ZS,82.6039962768555,81.697998046875,80.786003112793,79.8460006713867,78.8740005493164,77.8759994506836,77.3899993896484,76.9130020141602,76.4260025024414,75.9599990844727,75.4929962158203,75.0149993896484,74.5309982299805,74.0530014038086,72.4619979858398,72.4929962158203,72.5039978027344,72.4789962768555,72.4240036010742,72.431999206543,72.4219970703125,72.3880004882813,72.2089996337891,71.4449996948242,71.6579971313477
+Benin,BEN,"Employment to population ratio, 15+, male (%) (national estimate)",SL.EMP.TOTL.SP.MA.NE.ZS,..,..,..,..,..,..,73.9599990844727,..,..,..,..,..,..,75.370002746582,72.5800018310547,..,..,..,..,..,..,68.8600006103516,..,..,..
+Benin,BEN,"Employment to population ratio, 15+, total (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.ZS,71.1669998168945,71.1790008544922,71.2009963989258,71.2210006713867,71.2379989624023,71.254997253418,71.2369995117188,71.2239990234375,71.2009963989258,71.1910018920898,71.1800003051758,71.1600036621094,71.1360015869141,71.1179962158203,69.9749984741211,70.0709991455078,70.1630020141602,70.2300033569336,70.2730026245117,70.3610000610352,70.4459991455078,70.5189971923828,70.4619979858398,69.7119979858398,69.8300018310547
+Benin,BEN,"Employment to population ratio, 15+, total (%) (national estimate)",SL.EMP.TOTL.SP.NE.ZS,..,..,..,..,..,..,74.5500030517578,..,..,..,..,..,..,74.5199966430664,69.9800033569336,..,..,..,..,..,..,61.8199996948242,..,..,..
+Benin,BEN,"Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)",SL.EMP.1524.SP.FE.ZS,55.6399993896484,56.0709991455078,56.5509986877441,57.0789985656738,57.6559982299805,58.2820014953613,56.9679985046387,55.6780014038086,54.3969993591309,53.1370010375977,51.8899993896484,50.6479988098145,49.4099998474121,48.1879997253418,45.6300010681152,45.6199989318848,45.6049995422363,45.5429992675781,45.398998260498,45.3289985656738,45.2550010681152,45.1559982299805,44.9179992675781,44.0279998779297,44.5880012512207
+Benin,BEN,"Employment to population ratio, ages 15-24, female (%) (national estimate)",SL.EMP.1524.SP.FE.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,43.5400009155273,44.5299987792969,..,..,..,..,..,..,32.3800010681152,..,..,..
+Benin,BEN,"Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)",SL.EMP.1524.SP.MA.ZS,67.6679992675781,65.7190017700195,63.7229995727539,61.6749992370605,59.5730018615723,57.4220008850098,55.4099998474121,53.3819999694824,51.3349990844727,49.2789993286133,47.2220001220703,45.1650009155273,43.1160011291504,41.0810012817383,37.6549987792969,37.5769996643066,37.4739990234375,37.3209991455078,37.0950012207031,36.935001373291,36.7490005493164,36.5289993286133,36.1520004272461,35.4150009155273,35.5340003967285
+Benin,BEN,"Employment to population ratio, ages 15-24, male (%) (national estimate)",SL.EMP.1524.SP.MA.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,35.8499984741211,36.439998626709,..,..,..,..,..,..,30.4799995422363,..,..,..
+Benin,BEN,"Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)",SL.EMP.1524.SP.ZS,61.640998840332,60.8880004882813,60.1360015869141,59.3779983520508,58.6160011291504,57.8499984741211,56.1860008239746,54.523998260498,52.8569984436035,51.1959991455078,49.5419998168945,47.8899993896484,46.2430000305176,44.6100006103516,41.6129989624023,41.5660018920898,41.5040016174316,41.3930015563965,41.2050018310547,41.0880012512207,40.9570007324219,40.7960014343262,40.4869995117188,39.6730003356934,40.0099983215332
+Benin,BEN,"Employment to population ratio, ages 15-24, total (%) (national estimate)",SL.EMP.1524.SP.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,39.6100006103516,40.6199989318848,..,..,..,..,..,..,31.4699993133545,..,..,..
+Benin,BEN,Exports of goods and services (annual % growth),NE.EXP.GNFS.KD.ZG,9.462931858317674,11.085520698149935,13.788380510865522,-10.568548284730085,4.78823107072634,10.02367153780375,1.797845922115627,-5.209084538266339,10.032760982166678,-0.2951079133922718,27.234900381710858,10.09265441472516,-4.86468263369585,4.79778894126548,-9.7106909750689,24.09569717685926,22.732218510660445,24.94269044919386,-20.095907018424,13.481280138814284,7,4.999999999999986,8.614557869393707,-24.96500563428792,..
+Benin,BEN,Exports of goods and services (constant 2015 US$),NE.EXP.GNFS.KD,1064221200.290861,1182195661.7232041,1345201297.944544,1203033049.2444592,1260637051.4994888,1386999168.8256514,1411935276.822161,1338386374.6268897,1472663480.6110914,1468317534.14217,1868212351.8529832,2056764568.258714,1956709499.490623,2050588291.469875,1851461999.3142903,2297584676.0136857,2819876645.0325665,3523229747.652153,2815204773.518522,3194730415.517826,3418361544.604074,3589279621.834277,3898480191.9515467,2925224392.379245,..
+Benin,BEN,External health expenditure (% of current health expenditure),SH.XPD.EHEX.CH.ZS,..,..,..,16.74131584,17.03046417,18.42640114,19.96296501,20.1655426,20.2539959,20.00651169,24.98971939,25.94633675,22.00792122,25.74988365,25.85947418,36.23801041,25.43489838,28.5919075,34.23423767,30.56277275,19.47577095,30.0448246,24.3385601,..,..
+Benin,BEN,External health expenditure per capita (current US$),SH.XPD.EHEX.PC.CD,..,..,..,2.66300172,2.86665288,3.22409654,4.31327319,4.95464653,4.89072187,5.09228891,6.9871776,7.87469103,6.76974596,7.99945414,9.04989209,14.16935487,9.09736367,9.84920765,10.71770635,9.10350812,5.79766576,9.33565419,7.08867711,..,..
+Benin,BEN,"External health expenditure per capita, PPP (current international $)",SH.XPD.EHEX.PP.CD,..,..,..,9.14058206,10.1692353,10.62679259,11.74535826,12.50309115,12.20044783,12.70173207,16.33246924,16.42860391,14.63456474,18.24508952,19.34709424,30.91506056,19.41091462,21.60961115,28.73354409,25.15829168,15.52981361,24.3601029,19.95508184,..,..
+Benin,BEN,Female share of employment in senior and middle management (%),SL.EMP.SMGT.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Final consumption expenditure (annual % growth),NE.CON.TOTL.KD.ZG,4.86003606891137,5.410049105222896,4.839962915998356,7.336851676776362,4.899031611920208,4.225322285184802,3.796294702629851,4.256224413987852,2.301727410164318,4.8659355503682775,3.7945482339471113,5.450350582560134,3.646895673960657,1.9445328021803192,3.696475993801542,2.264556901123086,4.5324885166816244,2.909101422654217,6.277071884981169,0.8547375087678972,3.9251414445440815,3.81523332336036,3.799440064982491,4.701574763080885,..
+Benin,BEN,Final consumption expenditure (constant 2015 US$),NE.CON.TOTL.KD,4670986947.315151,4923689634.863453,5161994387.289699,5540722259.048664,5812163994.048158,6057746654.540161,6287716569.885206,6555335897.61502,6706221860.798766,7032542294.409942,7299395503.844058,7697238149.211191,7977948394.289224,8133082217.757195,8433719649.492732,8624706029.836693,9015619840.236588,9277893365.270006,9860273401.219902,9944552856.447193,10334890622.090195,10729190813.037024,11136839987.435974,11660446845.689964,..
+Benin,BEN,GDP (constant 2015 US$),NY.GDP.MKTP.KD,5364793307.033675,5577293421.121404,5875201725.540954,6219354251.615792,6551040853.893792,6855207703.095186,7091272043.499816,7405393025.882269,7532259594.997867,7829312241.283452,8298002221.539256,8704320296.77356,8906198913.181185,9094481722.875242,9364019690.408699,9814543589.039257,10520349986.307781,11189200078.415228,11388160958.248966,11768488343.51553,12435944687.833479,13268812169.989193,14179807326.715624,14725558673.483627,15697445694.850372
+Benin,BEN,GDP growth (annual %),NY.GDP.MKTP.KD.ZG,5.734688375213068,3.9610121383264527,5.341449372044167,5.857714205432686,5.333135706039371,4.643030870744823,3.4435767759165827,4.429684553850819,1.7131645636118407,3.9437388281579757,5.986349321776089,4.896577084296467,2.319292139128379,2.1140647264839174,2.963752919042008,4.811223315687997,7.191433721449457,6.357679097919316,1.7781510603027755,3.339673426296926,5.671555469447526,6.697259460879863,6.865687335501505,3.8487924003013347,6.600001011281336
+Benin,BEN,GDP per capita (constant 2015 US$),NY.GDP.PCAP.KD,854.0428758830769,861.9870749112524,881.6194178211789,905.8262694777663,925.7160730063091,939.6616639382606,942.918587867681,955.534214100597,943.6293116589034,952.8312272392317,981.4557453868465,1000.8514854719817,995.6942065308507,988.6107854914368,989.7673544684825,1008.7663030525523,1051.5519156807145,1087.719957356699,1076.7966978558513,1082.4512883575026,1112.817094134354,1155.3131679606718,1201.5613838612542,1214.6595868089944,1260.7346086320379
+Benin,BEN,GDP per capita growth (annual %),NY.GDP.PCAP.KD.ZG,2.5807815269038628,0.9301873772977984,2.277568130815382,2.7457257822669305,2.1957636026618985,1.506465247671727,0.34660602367988247,1.3379337723572746,-1.2458897092344472,0.9751621178607905,3.0041540756963343,1.9762215643752938,-0.5152891329025806,-0.7114052680986873,0.11698931409804914,1.9195367980460816,4.241380040024296,3.439491777500251,-1.0042345391356378,0.5251307431487078,2.8052815035148484,3.81878334277161,4.0030891348896205,1.0900985271055106,3.793245640458508
+Benin,BEN,"GDP per capita, PPP (constant 2017 international $)",NY.GDP.PCAP.PP.KD,2336.545872151399,2358.280126918924,2411.9915635249827,2478.218237750791,2532.634051809852,2570.7873036510673,2579.697807301519,2614.212455490166,2581.6422515296886,2606.8174487852953,2685.130261418942,2738.19438467667,2724.084766574683,2704.705484037796,2707.8697004319442,2759.8482557748766,2876.903908830271,2975.8547822210717,2945.9702206634875,2961.440415976197,3044.517156203191,3160.7806702321027,3287.3095378198554,3323.144450673027,3449.199482674322
+Benin,BEN,"GDP per capita, PPP (current international $)",NY.GDP.PCAP.PP.CD,1580.2181203446,1612.8684298891378,1672.849347533297,1757.7210108805411,1836.7865619831832,1893.5152625587164,1937.5782328771745,2016.2101451969522,2053.5274821362677,2137.5338925418414,2261.2515478017317,2350.1652509058217,2353.0409796091285,2364.378795752749,2416.3273623235905,2498.495772564701,2669.6882195341595,2833.4127527948467,2886.8291371897285,3004.807804990861,3044.517156203191,3236.2920647484116,3426.049089352308,3505.138454730403,3789.2733465788333
+Benin,BEN,GDP per person employed (constant 2017 PPP $),SL.GDP.PCAP.EM.KD,6014.513395578372,6062.929804062878,6188.481567090813,6342.578926329808,6472.012250221801,6554.456453154398,6561.269475598712,6629.332305244774,6525.8375574117945,6582.450819613224,6769.84227296095,6890.809103025795,6839.903172082991,6772.670065582832,6878.94907010438,6983.8452364071745,7248.503340361299,7465.525032170293,7359.490462136412,7366.778908316032,7538.228642083291,7787.990363276699,8072.33680959514,8211.053151668526,8475.927001307513
+Benin,BEN,"GDP, PPP (constant 2017 international $)",NY.GDP.MKTP.PP.KD,14677349358.524605,15258720948.200342,16073757802.469963,17015312596.612093,17922762308.196228,18754921695.055996,19400761822.888283,20260154372.686153,20607244157.932064,21419940047.20175,22702212482.942257,23813843817.0103,24366156424.68253,24881272742.856632,25618692190.067852,26851264681.89074,28782255584.85988,30612139032.088226,31156469106.86866,32196993426.203167,34023063767.86465,36301676624.939156,38794036239.55232,40287138158.110344,42946089683.961945
+Benin,BEN,"GDP, PPP (current international $)",NY.GDP.MKTP.PP.CD,9926367674.353935,10435702280.200941,11148038682.59534,12068417543.771208,12998438893.210129,13813951246.47086,14571665604.733831,15625634673.906815,16391714299.040207,17563887278.88981,19118406973.838604,20439187423.081604,21047276239.842506,21750521094.34366,22860459982.96453,24308499989.208206,26709146743.022137,29146860808.54739,30530995255.411354,32668486802.0226,34023063767.86465,37168927633.85777,40431322636.85908,42493487504.11071,47180359905.7268
+Benin,BEN,General government final consumption expenditure (annual % growth),NE.CON.GOVT.KD.ZG,3.980576783278437,5.188154735908938,2.170407483378284,5.307674422722812,10.326603466308299,3.2812063496390493,14.807984104662026,6.1947491241406425,4.273006114967998,9.231373821308253,4.071256570494981,14.659118554229323,9.779717972255625,1.2118968027155432,3.347349025819682,4.766898374637222,7.896822216359013,-2.287457545346271,13.56991897560178,-6.25622309831877,6.970439575696986,5.999999994808178,5.82580347791162,14.441116703181464,..
+Benin,BEN,General government final consumption expenditure (constant 2015 US$),NE.CON.GOVT.KD,422187166.7965975,444090890.28515494,453729472.2009052,477811955.3452679,527153701.2883878,544450702.0074196,625072875.4183991,663794571.8936211,692158554.5414611,756054298.1473471,786835208.4371808,902178314.4684045,990408809.230264,1002411541.9231386,1035965754.9064066,1085349189.6388383,1171057285.5713105,1144269847.3321824,1299546338.4774017,1218243820.2762227,1303160769.6532395,1381350415.764776,1461825176.328547,1672929056.0386407,..
+Benin,BEN,Gini index,SI.POV.GINI,..,..,..,..,..,..,38.6,..,..,..,..,..,..,..,43.4,..,..,..,47.8,..,..,37.8,..,..,..
+Benin,BEN,GNI (constant 2015 US$),NY.GNP.MKTP.KD,5296175357.454694,5548049142.7991905,5856561966.58909,6198461839.040575,6526105696.371284,6810454018.584043,7041935649.790013,7361499569.002461,7512477977.694331,7796653858.103053,8250483386.765519,8694565190.445131,8876666210.773588,9044595876.921253,9350651112.791376,9756513987.330122,10462531167.50929,11138112526.922348,11295642491.513617,11665097397.83669,12298520507.80483,13134215770.285667,14037049458.074389,14571769578.622074,..
+Benin,BEN,GNI growth (annual %),NY.GNP.MKTP.KD.ZG,6.403730423213318,4.755767480205677,5.560744251703653,5.837893877021671,5.285889722948141,4.357090360501914,3.3989162921343308,4.53801248839838,2.050919208466766,3.78271831548102,5.82082438084386,5.382494368656722,2.094423543210368,1.8918100800484012,3.3838464430574646,4.340477145848581,7.236367221899215,6.4571502688664,1.4143326727082126,3.270773721819225,5.430071334728922,6.795087766455254,6.873906319030155,3.8093484114648106,..
+Benin,BEN,GNI per capita (constant 2015 US$),NY.GNP.PCAP.KD,843.1193103994262,857.4672858262115,878.8223779571637,902.7833657649761,922.1925297074133,933.5271566444667,936.3583822512609,949.8705444375262,941.151102605669,948.8566856235141,975.8354006149791,999.7298111393674,992.3925128479347,983.1879712117149,988.354309415314,1002.8018579153265,1045.7726887777046,1082.7536551240228,1068.0487024739325,1072.941514537127,1100.519839641666,1143.5938828471717,1189.4644393648034,1201.974064815412,..
+Benin,BEN,GNI per capita growth (annual %),NY.GNP.PCAP.KD.ZG,3.229867056098243,1.7017728392423948,2.490484766468427,2.726488128751356,2.1499248522363956,1.2290955057562343,0.3032826186836388,1.443054544327211,-0.917961071950117,0.8187402635465588,2.843286599570831,2.4486107502689407,-0.7339281283480545,-0.9275101854411503,0.5254680035631196,1.461778267406899,4.2850769095809085,3.536233709597198,-1.3581069507824566,0.4581075799129195,2.5703474728943263,3.913972438655037,4.01108795750369,1.0517023491084103,..
+Benin,BEN,"GNI per capita, Atlas method (current US$)",NY.GNP.PCAP.CD,380,370,410,480,530,530,600,730,820,860,920,1030,1090,1080,1090,1120,1220,1270,1180,1110,1090,1200,1250,1280,1370
+Benin,BEN,"GNI per capita, PPP (constant 2017 international $)",NY.GNP.PCAP.PP.KD,2306.6829390761714,2345.937442820808,2404.3626574651394,2469.917319893057,2523.0186861831285,2554.028995464395,2561.7749214837786,2598.742730903685,2574.887284273855,2595.9689232111464,2669.7797597338313,2735.1522739391785,2715.078222047587,2689.8955949954016,2704.0301356763557,2743.5570605438056,2861.120590646345,2962.296501445008,2922.0653467560983,2935.4515495995956,3010.9028543227664,3128.7487621956375,3254.2456270166126,3288.4706047217037,..
+Benin,BEN,"GNI per capita, PPP (current international $)",NY.GNP.PCAP.PP.CD,1560,1600,1670,1750,1830,1880,1920,2000,2050,2130,2250,2350,2350,2350,2410,2480,2650,2820,2860,2980,3010,3200,3390,3470,3750
+Benin,BEN,"GNI, Atlas method (current US$)",NY.GNP.ATLS.CD,2374740872.3346543,2403760082.8455544,2762941305.014988,3285462983.738861,3783167939.56175,3890714803.505188,4536166269.090279,5655950088.028883,6571349689.228374,7082441203.245932,7808105611.528251,8977721470.295006,9725278675.047094,9953915777.32779,10357314482.521622,10942496193.15717,12214954488.215845,13069577667.613976,12462818879.021112,12104023692.227474,12203345013.654915,13728467799.974922,14803390762.056602,15498937116.153795,17115172179.930758
+Benin,BEN,"GNI, PPP (constant 2017 international $)",NY.GNP.MKTP.PP.KD,14489761044.150198,15178860387.847403,16022917994.338749,16958318942.850454,17854716981.03536,18632663133.51095,19265971756.41436,20140263960.73175,20553324502.938305,21330798873.351208,22572427214.8,23787386838.50575,24285595468.765938,24745032811.843826,25582366724.4808,26692763505.524063,28624349894.456882,30472667180.628063,30903652068.80932,31914440599.758373,33647417490.404945,35933789040.023575,38403844035.512726,39866780258.22095,..
+Benin,BEN,"GNI, PPP (current international $)",NY.GNP.MKTP.PP.CD,9795871419.588245,10378787003.366848,11110619768.640963,12026254072.20153,12946713962.052547,13720836586.498295,14467663511.747097,15532068457.821648,16347374768.451363,17488379961.14955,19004845069.46989,20415476948.704983,20975678924.41697,21628404646.418938,22827277379.614964,24162896617.311043,26561886938.35518,29012509444.384842,30282958642.714123,32384504143.62986,33647417490.404945,36761232957.09144,40028224270.22609,42051740112.98021,46687572086.8494
+Benin,BEN,Gross capital formation (annual % growth),NE.GDI.TOTL.KD.ZG,16.7119839986847,-6.146444738423156,17.553824984644677,-5.827670294196466,22.51967669465394,-12.121439147042878,6.42348197584937,6.688436087711565,-22.651410361966867,10.452639178669429,30.94743060372744,-8.792979232774272,11.800735687455216,8.670832422154092,5.1134795139159905,4.984521512855039,40.668409951804904,9.232290939470218,13.945512387041475,1.5687350537813245,24.741443718325357,15.917037135523842,10.020438429028715,1.860966958489783,..
+Benin,BEN,Gross capital formation (constant 2015 US$),NE.GDI.TOTL.KD,776064223.0185907,728363864.4160799,856219582.4270732,806321928.1688777,987903019.5106087,868154956.1688311,923920733.300779,985716581.0487176,762437873.2694229,842132753.1237966,1102751202.4880428,1005786518.2641008,1124476726.8645058,1221978219.4770505,1284463825.3945248,1348488201.0961556,1896896910.8696597,2072023952.5029697,2360978309.4617376,2398015803.8144374,2991319534.2717338,3467448975.3839445,3814902565.0202794,3885896641.253886,..
+Benin,BEN,Gross fixed capital formation (annual % growth),NE.GDI.FTOT.KD.ZG,8.339351527484126,4.250105714764629,7.47404551179514,-0.4425775781812007,16.355839779283613,-4.856567096160703,8.115378853029753,-1.953838218981943,-8.3892650816845,-1.6702574353276702,24.801548239830254,1.0117114236272613,7.80014294428608,9.948920512997404,4.070996195866002,-0.43785430745806764,46.319305429969376,12.18253199009456,4.967039870262539,0.32436192877950987,25.336900693144244,16.222676034674933,10.409132717314606,2.1096116156788014,..
+Benin,BEN,Gross fixed capital formation (constant 2015 US$),NE.GDI.FTOT.KD,742063906.7190316,773602407.2257028,831421803.2220945,827742116.7409238,963126291.14072,916351416.5907068,990716805.6721476,971359802.0810481,889869853.3875431,875006735.9965982,1092021953.7265587,1103070064.5809278,1189111106.393869,1307414825.180219,1360639632.9774938,1354682013.7355201,1982161313.282535,2223638749.3684583,2334087772.620197,2341658664.7388744,2934962395.1961713,3411091836.308382,3766156912.6592054,3845608196.353354,..
+Benin,BEN,Gross national expenditure (constant 2015 US$),NE.DAB.TOTL.KD,5447051170.333742,5652053499.279532,6018213969.716772,6347044187.217542,6800067013.558766,6925901610.708992,7211637303.185986,7541052478.663737,7468659734.068189,7874675047.533738,8402146706.332101,8703024667.475292,9102425121.153728,9355060437.234245,9718183474.887257,9973194230.932848,10912516751.106247,11349917317.772976,12221251710.68164,12342568660.261631,13326210156.361929,14196639788.420967,14951742552.456253,15546343486.943851,..
+Benin,BEN,Gross value added at basic prices (GVA) (constant 2015 US$),NY.GDP.FCST.KD,..,..,4899801845.092038,5355779912.677643,5844818725.847274,5992662450.523223,6202773753.970026,6442787727.137337,6712818148.727437,7076263534.0268135,7461544327.8609,7854478849.454434,8039982632.786193,8167420883.416212,8566059069.872942,9014583996.392494,9696660337.236223,10253788212.073612,10479166768.857924,10869125221.980553,11437652385.769766,12130758163.784645,12926859500.581598,13438451662.57704,..
+Benin,BEN,"Hospital beds (per 1,000 people)",SH.MED.BEDS.ZS,..,..,..,..,..,..,..,..,0.5,..,..,..,..,0.5,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Households and NPISHs Final consumption expenditure (annual % growth),NE.CON.PRVT.KD.ZG,5.01934108425408,5.449845428716827,5.317554240780112,7.532400891380803,4.386804737463194,4.319493191635075,2.708864955189938,4.042239695890743,2.079625241717281,4.363517250693178,3.761216455131617,4.337764665843451,2.8326424637504175,2.048376096673607,3.7455553771806365,1.91413431197212,4.04816645195784,3.684857650552047,5.251085741339608,1.9342045624735107,3.499999999999986,3.499999999999986,3.4999999992581223,3.2300000015000023,..
+Benin,BEN,Households and NPISHs Final consumption expenditure (constant 2015 US$),NE.CON.PRVT.KD,4239495497.2981772,4470541448.858337,4708264915.2579365,5062910303.703395,5285010292.759768,5513295952.532739,5662643694.466804,5891541325.7213955,6014063306.257302,6276487996.093448,6512560295.406875,6795059834.7427845,6987539585.058957,7130670675.664911,7397753894.586322,7539356840.197852,7844562554.496131,8133623517.937822,8560727062.7425,8726309036.17097,9031729852.436954,9347840397.272247,9675014811.107426,9987517789.651321,..
+Benin,BEN,Households and NPISHs Final consumption expenditure per capita (constant 2015 US$),NE.CON.PRVT.PC.KD,674.9022249214804,690.9353101859241,706.511534685996,737.3944276549271,746.8155213530722,755.7222320017871,752.9554615096974,760.1985890618606,753.4321362331241,763.8517402515522,770.280553110104,781.3184166948469,781.1921532756431,775.1357555728976,781.9350629664464,774.9162336520873,784.0960444036251,790.6824968965004,809.4513853164742,802.6353270975283,808.1946049120277,813.914840413635,819.8365434118768,823.8352474101197,..
+Benin,BEN,Households and NPISHs Final consumption expenditure per capita growth (annual %),NE.CON.PRVT.PC.KD.ZG,1.8867719705572625,2.3756160036824525,2.254367995157253,4.371180292570415,1.2776193235018383,1.1926252727819389,-0.3661094480125371,0.961959627418139,-0.8900901588211099,1.382951896705947,0.8416309762460799,1.4329666691150607,-0.01616030244593958,-0.7752763103610789,0.8771763326184754,-0.8976230440072186,1.1846197502244138,0.8400058309036496,2.3737579235209267,-0.8420589973147088,0.6926280998124952,0.7077794712858889,0.7275580569623656,0.48774405463819903,..
+Benin,BEN,"Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $)",NE.CON.PRVT.PP.KD,11455857796.675444,12080184339.127861,12722554693.74721,13680868516.905436,14281021505.131155,14897889256.741238,15301452957.88011,15919974363.391586,16251050168.727596,16960167546.258825,17598076158.826603,18361439288.312405,18881553214.548893,19268318437.27642,19990023974.596123,20372659882.465317,21197379065.198753,21978472309.399246,23132580735.002384,23580012166.996666,24405312592.84155,25259498533.591,26143580982.079292,26988018648.19261,..
+Benin,BEN,"Households and NPISHs Final consumption expenditure, PPP (current international $)",NE.CON.PRVT.PP.CD,4646624395.031343,4984706820.78808,8775358513.111977,9625004243.490437,10302096315.589432,10932894504.421629,11549995563.990093,12142717574.46766,12993263707.48619,13725990697.466894,14456399437.212017,15611542307.392593,16007773010.325539,16351567390.400532,17444373382.966843,19223422661.049805,20001428170.576492,21324866707.192722,22798548817.37805,23752060888.109287,24405312592.84155,25883076075.742874,27446117998.72419,28647968176.895004,..
+Benin,BEN,Imports of goods and services (annual % growth),NE.IMP.GNFS.KD.ZG,11.43522128371059,9.877952823405622,16.611566963401486,-10.582553456297504,13.446827802009409,-3.442545938884251,5.118192917035387,-3.8017516322924365,-4.408372583715661,7.424462249517049,30.302179826583682,4.213806279801773,4.741797402443467,7.349621070436669,-4.566596877496366,11.362289463728231,30.77100511119434,14.691695892791174,-0.9677731468014912,3.303329060255038,14.323232345898987,4.838686171030801,3.393947941261885,-19.79280491100944,..
+Benin,BEN,Imports of goods and services (constant 2015 US$),NE.IMP.GNFS.KD,1161484126.9210339,1276214981.0296383,1488214287.2003384,1330723214.7131057,1509663273.916941,1457692422.189886,1532299932.4945705,1474045694.7993422,1409064268.518367,1513679713.2059467,1972357661.9001286,2055468992.9174275,2152935168.231617,2311167744.988809,2205626030.912447,2456235645.032059,3212044040.907851,3683947783.3405538,3648295525.9511952,3768810732.263925,4308626250.123264,4517107152.649382,4670415417.861319,3746009205.6703215,..
+Benin,BEN,Income share held by fourth 20%,SI.DST.04TH.20,..,..,..,..,..,..,20.9,..,..,..,..,..,..,..,20.2,..,..,..,20.8,..,..,21.4,..,..,..
+Benin,BEN,Income share held by highest 10%,SI.DST.10TH.10,..,..,..,..,..,..,31.1,..,..,..,..,..,..,..,34.5,..,..,..,37.6,..,..,29.9,..,..,..
+Benin,BEN,Income share held by highest 20%,SI.DST.05TH.20,..,..,..,..,..,..,46.2,..,..,..,..,..,..,..,50.7,..,..,..,52.1,..,..,45.4,..,..,..
+Benin,BEN,Income share held by lowest 10%,SI.DST.FRST.10,..,..,..,..,..,..,2.9,..,..,..,..,..,..,..,2.5,..,..,..,1,..,..,2.9,..,..,..
+Benin,BEN,Income share held by lowest 20%,SI.DST.FRST.20,..,..,..,..,..,..,7,..,..,..,..,..,..,..,6.1,..,..,..,3.2,..,..,7,..,..,..
+Benin,BEN,Income share held by second 20%,SI.DST.02ND.20,..,..,..,..,..,..,10.9,..,..,..,..,..,..,..,9.6,..,..,..,9.6,..,..,11.1,..,..,..
+Benin,BEN,Income share held by third 20%,SI.DST.03RD.20,..,..,..,..,..,..,15,..,..,..,..,..,..,..,13.4,..,..,..,14.2,..,..,15,..,..,..
+Benin,BEN,"Industry (including construction), value added (annual % growth)",NV.IND.TOTL.KD.ZG,3.5084405657811857,-0.1876472508719047,1.7497358686556765,9.208547035482553,13.357503381409813,1.8587843072578352,1.1770368330604981,1.0754844774410373,6.595173593140217,3.048635753309199,-1.7701910521123523,-8.902815787490141,1.5319870428817808,3.367779982989177,0.17532428421259283,3.6641718765372673,6.199581910934299,3.891504544287173,13.786875453777526,0.8916058877171338,0.46905155730297565,4.8409764498529455,13.558394443142618,5.1751269198812935,..
+Benin,BEN,"Industry (including construction), value added (constant 2015 US$)",NV.IND.TOTL.KD,1059378712.2277858,1057390817.1979682,1075892363.5983524,1174966417.9514716,1331912596.9597692,1356669979.2984476,1372638484.6578646,1387400998.4917417,1478902502.7752326,1523988853.231423,1497011338.9163306,1363735177.09477,1384627423.3070827,1431258628.5081975,1433767972.4538605,1486303695.2753136,1578448310.30915,1639873698.0340545,1865961042.3812656,1882598060.897645,1891428416.4200408,1982992020.6247616,2251853900.557111,2368390197.961239,..
+Benin,BEN,"Industry (including construction), value added per worker (constant 2015 US$)",NV.IND.EMPL.KD,2132.5420104519226,2077.197825174946,2055.6786216553983,2187.834572866494,2420.5342076540555,2403.3281995093703,2364.725475824756,2331.449131716606,2415.1527671870936,2434.5193875905516,2348.3168248606617,2101.7762117083385,2088.7857168998707,2112.949065001953,2105.022734925616,2127.5702038647996,2194.283909382931,2215.3723221404803,2436.3631975334806,2401.8056741280398,2337.8340306708546,2374.699619223924,2608.779829020369,..,..
+Benin,BEN,International migrant stock (% of population),SM.POP.TOTL.ZS,..,..,..,1.9243482067285,..,..,..,..,2.09595957744231,..,..,..,..,2.20054095786262,..,..,..,..,2.25554096484421,..,..,..,..,..,..
+Benin,BEN,"International migrant stock, total",SM.POP.TOTL,..,..,..,133730,..,..,..,..,171499,..,..,..,..,209267,..,..,..,..,245399,..,..,..,..,..,..
+Benin,BEN,"Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.FE.ZS,56.0149993896484,56.4440002441406,56.9189987182617,57.4420013427734,58.0149993896484,58.6349983215332,57.4589996337891,56.2970008850098,55.1459999084473,54.0029983520508,52.8699989318848,51.7449989318848,50.6279983520508,49.515998840332,48.4070014953613,48.2799987792969,48.1459999084473,47.9799995422363,47.7480010986328,47.5620002746582,47.367000579834,47.1539993286133,46.9189987182617,46.1020011901855,46.7190017700195
+Benin,BEN,"Labor force participation rate for ages 15-24, female (%) (national estimate)",SL.TLF.ACTI.1524.FE.NE.ZS,..,..,..,..,52.25,58.6599998474121,61.8300018310547,..,..,..,..,..,..,44.939998626709,47.3499984741211,..,..,..,..,..,..,33.9199981689453,..,..,..
+Benin,BEN,"Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.MA.ZS,68.8619995117188,66.7919998168945,64.6740036010742,62.507999420166,60.2929992675781,58.0320014953613,56.0340003967285,54.0120010375977,51.9710006713867,49.9140014648438,47.8530006408691,45.7939987182617,43.7410011291504,41.6990013122559,39.6609992980957,39.4519996643066,39.2169990539551,38.943000793457,38.6020011901855,38.3139991760254,38,37.6549987792969,37.2789993286133,36.5900001525879,36.6800003051758
+Benin,BEN,"Labor force participation rate for ages 15-24, male (%) (national estimate)",SL.TLF.ACTI.1524.MA.NE.ZS,..,..,..,..,38.0800018310547,57.5,46.2599983215332,..,..,..,..,..,..,36.4000015258789,38.439998626709,..,..,..,..,..,..,31.4699993133545,..,..,..
+Benin,BEN,"Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.ZS,62.423999786377,61.6100006103516,60.7949981689453,59.9770011901855,59.1559982299805,58.3330001831055,56.7430000305176,55.1479988098145,53.548999786377,51.9459991455078,50.3470001220703,48.7519989013672,47.1629981994629,45.5810012817383,44.0019989013672,43.8310012817383,43.6419982910156,43.4179992675781,43.1290016174316,42.8899993896484,42.6339988708496,42.3540000915527,42.0460014343262,41.2929992675781,41.6430015563965
+Benin,BEN,"Labor force participation rate for ages 15-24, total (%) (national estimate)",SL.TLF.ACTI.1524.NE.ZS,..,..,..,..,45.3400001525879,58.1199989318848,53.9099998474121,..,..,..,..,..,..,40.5800018310547,43.0400009155273,..,..,..,..,..,..,32.75,..,..,..
+Benin,BEN,"Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.FE.ZS,60.9420013427734,61.7669982910156,62.617000579834,63.4930000305176,64.3949966430664,65.3270034790039,65.7839965820313,66.2460021972656,66.7119979858398,67.1849975585938,67.661003112793,68.140998840332,68.6230010986328,69.1070022583008,69.5940017700195,69.6259994506836,69.6650009155273,69.7089996337891,69.7570037841797,69.7979965209961,69.8460006713867,69.9010009765625,69.9619979858398,69.2959976196289,69.3339996337891
+Benin,BEN,"Labor force participation rate, female (% of female population ages 15+) (national estimate)",SL.TLF.CACT.FE.NE.ZS,..,..,..,..,68.6999969482422,65.5999984741211,78.3000030517578,..,..,..,..,..,..,74.6399993896484,69.6999969482422,..,..,..,..,..,..,56.6199989318848,..,..,..
+Benin,BEN,"Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.FE.ZS,62.91,63.71,64.49,65.27,66.03,66.78,67.5,68.14,68.73,69.24,69.68,70.06,70.4,70.69,69.47,69.52,69.58,69.65,69.76,69.85,69.95,70.05,70.15,..,..
+Benin,BEN,"Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.MA.ZS,83.9140014648438,82.8990020751953,81.8619995117188,80.8010025024414,79.713996887207,78.6019973754883,78.1169967651367,77.6340026855469,77.1529998779297,76.6750030517578,76.1969985961914,75.7170028686523,75.2360000610352,74.7529983520508,74.2669982910156,74.1600036621094,74.0309982299805,73.8870010375977,73.7330017089844,73.6039962768555,73.4560012817383,73.2890014648438,73.1060028076172,72.4100036621094,72.5989990234375
+Benin,BEN,"Labor force participation rate, male (% of male population ages 15+) (national estimate)",SL.TLF.CACT.MA.NE.ZS,..,..,..,..,66.6100006103516,78.9300003051758,76.3899993896484,..,..,..,..,..,..,76.0800018310547,74.379997253418,..,..,..,..,..,..,69.7300033569336,..,..,..
+Benin,BEN,"Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.MA.ZS,84.85,83.74,82.58,81.38,80.14,78.85,78.2,77.52,76.83,76.11,75.37,74.62,73.88,73.14,74.03,73.94,73.81,73.68,73.6,73.54,73.44,73.32,73.17,..,..
+Benin,BEN,"Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.ZS,71.9550018310547,71.9140014648438,71.8730010986328,71.8320007324219,71.7910003662109,71.75,71.7639999389648,71.7789993286133,71.7929992675781,71.8079986572266,71.8219985961914,71.8369979858398,71.8509979248047,71.8659973144531,71.879997253418,71.8460006713867,71.8059997558594,71.7610015869141,71.7119979858398,71.6709976196289,71.6240005493164,71.5709991455078,71.5130004882813,70.8339996337891,70.9469985961914
+Benin,BEN,"Labor force participation rate, total (% of total population ages 15+) (national estimate)",SL.TLF.CACT.NE.ZS,..,..,..,..,67.6800003051758,71.75,77.3600006103516,..,..,..,..,..,..,75.3099975585938,71.879997253418,..,..,..,..,..,..,62.7400016784668,..,..,..
+Benin,BEN,"Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.ZS,73.53,73.42,73.28,73.11,72.91,72.67,72.74,72.74,72.71,72.61,72.48,72.31,72.11,71.9,71.72,71.71,71.68,71.65,71.66,71.68,71.68,71.67,71.66,..,..
+Benin,BEN,Labor force with advanced education (% of total working-age population with advanced education),SL.TLF.ADVN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,66.1699981689453,..,..,..,..,..,..,42.4300003051758,..,..,..
+Benin,BEN,"Labor force with advanced education, female (% of female working-age population with advanced education)",SL.TLF.ADVN.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,56.0900001525879,..,..,..,..,..,..,32.060001373291,..,..,..
+Benin,BEN,"Labor force with advanced education, male (% of male working-age population with advanced education)",SL.TLF.ADVN.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,69.879997253418,..,..,..,..,..,..,47.9500007629395,..,..,..
+Benin,BEN,Labor force with basic education (% of total working-age population with basic education),SL.TLF.BASC.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,78.0100021362305,..,..,..,..,..,..,74.7200012207031,..,..,..
+Benin,BEN,"Labor force with basic education, female (% of female working-age population with basic education)",SL.TLF.BASC.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,72.25,..,..,..,..,..,..,68.0800018310547,..,..,..
+Benin,BEN,"Labor force with basic education, male (% of male working-age population with basic education)",SL.TLF.BASC.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,82.7099990844727,..,..,..,..,..,..,80.6399993896484,..,..,..
+Benin,BEN,Labor force with intermediate education (% of total working-age population with intermediate education),SL.TLF.INTM.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,45.0699996948242,..,..,..,..,..,..,51.5999984741211,..,..,..
+Benin,BEN,"Labor force with intermediate education, female (% of female working-age population with intermediate education)",SL.TLF.INTM.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,41.2799987792969,..,..,..,..,..,..,47.6599998474121,..,..,..
+Benin,BEN,"Labor force with intermediate education, male (% of male working-age population with intermediate education)",SL.TLF.INTM.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,47.4599990844727,..,..,..,..,..,..,54.8600006103516,..,..,..
+Benin,BEN,"Labor force, female (% of total labor force)",SL.TLF.TOTL.FE.ZS,44.08888427754066,44.647132667797216,45.21854911853394,45.802107899281786,46.39027938525926,46.99366045206329,47.218182477399814,47.45160072247856,47.69848077086753,47.9840209657798,48.28111650070825,48.583753037967895,48.885221581369805,49.18056058372768,49.46319587704321,49.44973074412739,49.443017061255205,49.44492125743701,49.45680755520578,49.46672662557295,49.48933028480177,49.52362974853586,49.56708203801018,49.52682020772573,49.43977898470418
+Benin,BEN,"Labor force, total",SL.TLF.TOTL.IN,2467343,2542712,2621882,2705727,2790770,2881278,2978736,3079953,3184049,3282301,3383679,3488763,3598159,3712416,3825604,3942161,4063769,4189856,4320200,4451938,4588876,4730774,4877483,4985420,5147879
+Benin,BEN,"Manufacturing, value added (annual % growth)",NV.IND.MANF.KD.ZG,4.230071427713696,0.7095320875177151,3.967035906838774,10.60024841099569,9.210284853874214,2.6063528151573507,1.0817134901752468,0.061871118174110507,6.6232005288496225,3.0743968004214963,-4.119913869676921,-12.471552155767512,0.7870975110567713,-0.3791341236227197,0.36826761549164644,0.3401493852181119,4.401151870229427,8.625262328757557,6.246369000506505,6.431714280217207,-0.5629094294442893,3.7929333481169607,11.25680305283565,3.36721654807522,..
+Benin,BEN,"Manufacturing, value added (constant 2015 US$)",NV.IND.MANF.KD,774893141.1540064,780391256.634468,811349657.9989877,897354737.2286445,980003664.677137,1005546017.7800949,1016423144.7043421,1017052017.0693511,1084413411.642564,1117752582.8734446,1071702139.1829695,938044247.9402894,945427570.8684386,941843132.3331391,945311635.5782541,948527107.2950689,990273225.8174188,1075686889.315621,1142878261.7123444,1216384926.0763955,1209537780.6291726,1255414742.4687302,1396734307.5246994,1443765376.260315,..
+Benin,BEN,Multidimensional poverty headcount ratio (% of total population),SI.POV.MDIM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Multidimensional poverty headcount ratio, children (% of population ages 0-17)",SI.POV.MDIM.17,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Multidimensional poverty headcount ratio, female (% of female population)",SI.POV.MDIM.FE,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Multidimensional poverty headcount ratio, household (% of total households)",SI.POV.MDIM.HH,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Multidimensional poverty headcount ratio, male (% of male population)",SI.POV.MDIM.MA,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Multidimensional poverty index (scale 0-1),SI.POV.MDIM.XQ,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Multidimensional poverty index, children (population ages 0-17) (scale 0-1)",SI.POV.MDIM.17.XQ,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Multidimensional poverty intensity (average share of deprivations experienced by the poor),SI.POV.MDIM.IT,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Australia (current US$)",DC.DAC.AUSL.CD,..,..,..,..,..,..,..,..,..,..,..,..,159999.99642372102,379999.99523162795,529999.971389771,109999.999403954,310000.002384186,50000.0007450581,29999.999329447703,39999.9991059303,9999.99977648258,29999.999329447703,..,..,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Austria (current US$)",DC.DAC.AUTL.CD,9999.99977648258,19999.9995529652,29999.999329447703,29999.999329447703,189999.99761581398,9999.99977648258,29999.999329447703,50000.0007450581,39999.9991059303,19999.9995529652,9999.99977648258,19999.9995529652,9999.99977648258,90000.0035762787,50000.0007450581,29999.999329447703,39999.9991059303,39999.9991059303,29999.999329447703,59999.9986588955,39999.9991059303,19999.9995529652,..,19999.9995529652,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Belgium (current US$)",DC.DAC.BELL.CD,17780000.6866455,3710000.03814697,4050000.1907348596,4630000.11444092,4380000.11444092,9800000.19073486,10560000.4196167,13409999.8474121,13119999.8855591,14229999.5422363,14890000.3433228,21920000.0762939,25579999.9237061,28969999.3133545,28389999.3896484,25590000.1525879,24149999.6185303,21149999.6185303,19559999.4659424,19940000.5340576,25270000.4577637,27680000.3051758,22809999.4659424,20100000.3814697,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Canada (current US$)",DC.DAC.CANL.CD,4150000.09536743,3759999.99046326,3559999.94277954,3319999.9332428,1750000,2400000.09536743,5590000.15258789,6360000.1335144,10840000.1525879,5960000.03814697,6989999.771118159,6969999.79019165,7039999.96185303,6369999.88555908,7739999.771118159,5579999.92370605,4800000.19073486,5429999.82833862,6630000.11444092,7980000.01907349,14520000.4577637,18090000.1525879,16989999.7711182,21040000.915527303,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Czech Republic (current US$)",DC.DAC.CZEL.CD,..,..,..,..,..,..,..,..,9999.99977648258,9999.99977648258,9999.99977648258,39999.9991059303,..,19999.9995529652,19999.9995529652,19999.9995529652,29999.999329447703,19999.9995529652,9999.99977648258,9999.99977648258,9999.99977648258,..,..,..,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Denmark (current US$)",DC.DAC.DNKL.CD,18950000.762939498,14609999.6566772,9050000.19073486,19520000.4577637,22930000.3051758,23610000.6103516,21389999.3896484,32200000.7629395,35869998.9318848,32849998.4741211,44639999.3896484,48150001.5258789,51360000.6103516,39110000.6103516,36229999.5422363,31739999.7711182,16700000.7629395,-4639999.8664856,-680000.007152557,0,0,-170000.00178813902,..,409999.99642372096,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, European Union institutions (current US$)",DC.DAC.CECL.CD,31969999.3133545,29680000.3051758,25309999.4659424,2809999.94277954,43409999.8474121,27850000.3814697,51000000,88680000.3051758,37830001.8310547,35119998.9318848,81830001.8310547,127620002.746582,146639999.38964802,122750000,63130001.0681152,79089996.3378906,78949996.9482422,72180000.3051758,48270000.4577637,47779998.779296905,81370002.746582,90569999.6948242,45950000.762939505,144210006.71386698,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Finland (current US$)",DC.DAC.FINL.CD,..,9999.99977648258,..,90000.0035762787,140000.000596046,140000.000596046,300000.011920929,39999.9991059303,..,100000.00149011599,209999.993443489,170000.00178813902,449999.988079071,689999.997615814,370000.00476837205,259999.990463257,159999.99642372102,109999.999403954,70000.0002980232,39999.9991059303,9999.99977648258,0,29999.999329447703,..,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, France (current US$)",DC.DAC.FRAL.CD,26579999.9237061,28770000.4577637,27579999.9237061,74250000,42520000.4577637,40490001.6784668,36759998.3215332,62860000.6103516,42720001.220703095,73750000,56400001.5258789,66410003.662109405,50389999.3896484,48790000.9155273,41540000.9155273,41409999.8474121,37889999.3896484,36509998.3215332,27860000.6103516,27620000.8392334,42330001.8310547,47540000.9155273,38110000.6103516,68480003.3569336,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Germany (current US$)",DC.DAC.DEUL.CD,20260000.2288818,32349998.4741211,27350000.3814697,21719999.3133545,21870000.8392334,24010000.2288818,31260000.2288818,24450000.762939498,27600000.3814697,26469999.3133545,29579999.9237061,46610000.6103516,43119998.9318848,34669998.1689453,49500000,47630001.0681152,50970001.220703095,77709999.0844727,38380001.0681152,39840000.1525879,37270000.4577637,42099998.4741211,45139999.3896484,65379997.253418,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Greece (current US$)",DC.DAC.GRCL.CD,..,..,..,..,59999.9986588955,29999.999329447703,29999.999329447703,39999.9991059303,180000.00715255702,19999.9995529652,140000.000596046,100000.00149011599,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Hungary (current US$)",DC.DAC.HUNL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,0,0,0,..,0,0,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Iceland (current US$)",DC.DAC.ISLL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Ireland (current US$)",DC.DAC.IRLL.CD,59999.9986588955,79999.9982118607,19999.9995529652,59999.9986588955,59999.9986588955,..,..,9999.99977648258,29999.999329447703,109999.999403954,90000.0035762787,59999.9986588955,39999.9991059303,119999.997317791,259999.990463257,159999.99642372102,159999.99642372102,150000.005960464,29999.999329447703,19999.9995529652,50000.0007450581,109999.999403954,..,19999.9995529652,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Italy (current US$)",DC.DAC.ITAL.CD,360000.01430511504,270000.010728836,300000.011920929,19069999.6948242,209999.993443489,2539999.96185303,19999.9995529652,9579999.92370605,19999.9995529652,109999.999403954,1490000.0095367401,1139999.98569489,1789999.96185303,2109999.89509583,1200000.04768372,769999.980926514,1909999.9666214,1419999.95708466,2369999.8855590797,1340000.0333786,4809999.94277954,2680000.0667572,3750000,4980000.01907349,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Japan (current US$)",DC.DAC.JPNL.CD,18809999.4659424,32950000.7629395,14159999.8474121,6159999.84741211,8260000.22888184,4530000.20980835,6269999.98092651,11149999.6185303,17860000.6103516,10060000.4196167,6809999.94277954,27209999.084472697,25840000.1525879,29129999.1607666,26309999.4659424,19889999.3896484,33520000.4577637,10199999.8092651,12899999.6185303,10920000.076293899,20350000.3814697,14260000.2288818,10390000.3433228,18409999.8474121,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)",DC.DAC.KORL.CD,59999.9986588955,29999.999329447703,..,9999.99977648258,29999.999329447703,59999.9986588955,70000.0002980232,79999.9982118607,79999.9982118607,209999.993443489,19999.9995529652,2440000.05722046,19999.9995529652,150000.005960464,129999.995231628,140000.000596046,100000.00149011599,100000.00149011599,119999.997317791,230000.004172325,19999.9995529652,180000.00715255702,90000.0035762787,200000.00298023198,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Luxembourg (current US$)",DC.DAC.LUXL.CD,379999.99523162795,379999.99523162795,310000.002384186,779999.971389771,..,730000.019073486,1470000.02861023,1419999.95708466,1580000.04291534,5250000,4280000.20980835,860000.014305115,1159999.9666214,1960000.03814697,1450000.04768372,1259999.9904632599,1320000.05245209,1440000.0572204601,1039999.96185303,980000.019073486,870000.004768372,1419999.95708466,1250000,1190000.0572204601,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Netherlands (current US$)",DC.DAC.NLDL.CD,11060000.4196167,10079999.923706101,4639999.8664856,4380000.11444092,8010000.22888184,2400000.09536743,19770000.4577637,10399999.6185303,22700000.762939498,24489999.7711182,34720001.220703095,35330001.8310547,41970001.220703095,31260000.2288818,27809999.4659424,20639999.3896484,37779998.779296905,42580001.8310547,17750000,29729999.5422363,31729999.5422363,26329999.9237061,31600000.3814697,38720001.220703095,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, New Zealand (current US$)",DC.DAC.NZLL.CD,..,..,..,..,59999.9986588955,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Norway (current US$)",DC.DAC.NORL.CD,-79999.9982118607,-1139999.98569489,..,..,100000.00149011599,129999.995231628,209999.993443489,219999.998807907,59999.9986588955,..,..,..,..,50000.0007450581,9999.99977648258,..,..,..,19999.9995529652,19999.9995529652,..,..,310000.002384186,709999.978542328,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Poland (current US$)",DC.DAC.POLL.CD,..,..,..,..,..,..,..,..,..,..,9999.99977648258,9999.99977648258,..,..,..,..,..,..,9999.99977648258,..,..,19999.9995529652,9999.99977648258,9999.99977648258,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Portugal (current US$)",DC.DAC.PRTL.CD,..,..,..,..,..,19999.9995529652,9999.99977648258,9999.99977648258,..,..,..,..,..,..,9999.99977648258,..,..,..,..,..,..,0,0,..,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Slovak Republic (current US$)",DC.DAC.SVKL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,29999.999329447703,19999.9995529652,19999.9995529652,9999.99977648258,..,..,..,..,..,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Slovenia (current US$)",DC.DAC.SVNL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Spain (current US$)",DC.DAC.ESPL.CD,839999.973773956,430000.00715255697,529999.971389771,479999.989271164,589999.973773956,319999.99284744303,1669999.95708466,310000.002384186,449999.988079071,2190000.05722046,2109999.89509583,2009999.9904632599,3450000.04768372,1090000.0333786,1220000.02861023,550000.011920929,620000.004768372,610000.014305115,159999.99642372102,660000.026226044,230000.004172325,310000.002384186,219999.998807907,560000.002384186,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Sweden (current US$)",DC.DAC.SWEL.CD,9999.99977648258,..,230000.004172325,180000.00715255702,90000.0035762787,90000.0035762787,219999.998807907,90000.0035762787,1419999.95708466,230000.004172325,300000.011920929,469999.998807907,879999.995231628,1879999.99523163,349999.99403953605,680000.007152557,889999.985694885,860000.014305115,649999.976158142,860000.014305115,699999.988079071,660000.026226044,259999.990463257,860000.014305115,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Switzerland (current US$)",DC.DAC.CHEL.CD,6800000.19073486,8140000.34332275,6309999.94277954,6000000,5730000.01907349,5360000.1335144,6980000.01907349,9439999.5803833,8699999.80926514,9989999.77111816,10260000.2288818,10579999.923706101,13470000.2670288,13250000,12149999.6185303,21059999.4659424,19049999.237060502,19590000.1525879,21610000.6103516,23489999.7711182,23659999.8474121,28309999.4659424,25290000.915527303,28010000.2288818,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, Total (current US$)",DC.DAC.TOTL.CD,180000001.06915838,173659999.7095765,144579999.7169525,193349998.7013638,187890002.31213877,167960002.75388357,247209999.33965498,298740001.65611523,245520003.4230948,263719996.7447669,319980004.22306365,432680010.67079616,472300001.32694805,463100000.38146925,486999998.0963767,338909995.1833486,332989997.44839966,324699997.3021448,232450000.6847085,269699999.1964549,404100008.09840834,357769999.8077006,342339999.8024107,510710007.2409954,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, United Kingdom (current US$)",DC.DAC.GBRL.CD,..,..,1570000.05245209,140000.000596046,70000.0002980232,59999.9986588955,21129999.1607666,..,..,2279999.97138977,-140000.000596046,..,29999.999329447703,..,70000.0002980232,610000.014305115,..,..,..,..,409999.99642372096,519999.980926514,219999.998807907,19999.9995529652,..
+Benin,BEN,"Net bilateral aid flows from DAC donors, United States (current US$)",DC.DAC.USAL.CD,22000000,9529999.73297119,19579999.9237061,29719999.3133545,27430000.3051758,23379999.1607666,32470001.220703095,27940000.5340576,24409999.8474121,20270000.4577637,25329999.9237061,34560001.373291,58900001.5258789,100260002.13623,188529998.779297,41659999.8474121,23620000.8392334,39169998.1689453,35619998.9318848,58139999.3896484,120440002.441406,57110000.6103516,99919998.1689453,97379997.253418,..
+Benin,BEN,Net migration,SM.POP.NETM,-2851,..,..,..,..,25005,..,..,..,..,-48776,..,..,..,..,-42268,..,..,..,..,-10000,..,..,..,..
+Benin,BEN,Net ODA provided to the least developed countries (% of GNI),DC.ODA.TLDC.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net ODA provided, to the least developed countries (current US$)",DC.ODA.TLDC.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net ODA provided, total (% of GNI)",DC.ODA.TOTL.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net ODA provided, total (constant 2020 US$)",DC.ODA.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net ODA provided, total (current US$)",DC.ODA.TOTL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Net ODA received (% of central government expense),DT.ODA.ODAT.XP.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Net ODA received (% of GNI),DT.ODA.ODAT.GN.ZS,9.87946497939251,8.405199833978415,5.796372427269806,6.978089813805438,7.679303275608331,5.31772087862949,5.686038199623279,6.367252632537852,5.3295557527446045,5.715552783533516,5.852946694709436,6.51283905462634,6.981197111838293,7.26939370345912,6.299143707338906,4.584444386420962,5.303310112311597,4.532304901111709,3.864764559616221,4.273313534121435,5.413402154575786,4.073524241887823,4.162700507791413,6.773458722281244,..
+Benin,BEN,Net ODA received (% of gross capital formation),DT.ODA.ODAT.GI.ZS,52.572988990984804,46.0439900101091,31.69411820959497,43.437878700767314,43.08491754921917,35.607219334948795,37.229843748812385,41.58807923599851,43.977491150890586,44.20706868974979,35.5268213106483,47.34413886016774,46.801967911689054,46.31303815144238,38.20791761112338,29.830394932389563,27.961542886194866,23.426682339248885,18.49021594325849,20.89659595417826,22.343651156023117,15.268569166544738,16.079713803078242,26.1491969361573,..
+Benin,BEN,"Net ODA received (% of imports of goods, services and primary income)",DT.ODA.ODAT.MP.ZS,27.831269566212193,25.384560748612127,23.872856908731375,32.84071760378547,35.88628122143941,23.59981098381045,26.582084318115612,32.89128828322445,29.378079425908904,27.545048598307865,21.68980420567601,25.821149889721873,29.217188819970435,28.778503536599853,27.720043755222278,18.48883608284243,18.44656623698962,13.674874966756933,11.941848320032662,12.959227745856952,16.312921366935026,11.89533013060441,13.176130566652445,24.537800704813527,..
+Benin,BEN,Net ODA received per capita (current US$),DT.ODA.ODAT.PC.ZS,35.205750898408766,31.71889845911325,31.87826393434644,35.64985863163809,39.62565940470426,30.36707970586027,40.15527445502367,50.553529920559,43.73217668464863,48.71792751330631,56.21547176747406,73.21216439428521,75.74977504125555,74.92672987736289,71.09419114874214,52.183856177984254,65.98968555915722,58.26085227193883,41.277567732653445,46.059298518775904,60.849066396353635,50.03119148975715,50.258655732102994,86.53904727802103,..
+Benin,BEN,Net official aid received (constant 2020 US$),DT.ODA.OATL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Net official aid received (current US$),DT.ODA.OATL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Net official development assistance and official aid received (constant 2020 US$),DT.ODA.ALLD.KD,306869995.11718804,278540008.544922,296160003.66210896,382929992.675781,439799987.792969,333579986.57226604,384390014.64843804,455540008.544922,396720001.220703,441820007.324219,480429992.675781,604030029.296875,661989990.234375,689130004.882813,655219970.703125,493179992.675781,625570007.324219,568099975.585938,465690002.441406,533330017.089844,708780029.296875,574619995.117188,612289978.027344,..,..
+Benin,BEN,Net official development assistance and official aid received (current US$),DT.ODA.ALLD.CD,221149993.89648402,205229995.727539,212440002.44140598,244770004.272461,280420013.42773396,221539993.28613302,301989990.234375,391790008.544922,349079986.57226604,400309997.558594,475290008.544922,636719970.703125,677559997.558594,689270019.53125,672609985.351563,507709991.455078,660200012.207031,599320007.324219,436549987.792969,500760009.765625,680000000,574609985.351563,593109985.351563,1049130004.88281,..
+Benin,BEN,Net official development assistance received (constant 2020 US$),DT.ODA.ODAT.KD,310350006.10351604,283070007.324219,299950012.207031,386420013.42773396,444160003.66210896,336459991.455078,389250000,459459991.455078,401179992.675781,446600006.10351604,484529998.779297,609739990.234375,668809997.558594,697400024.414063,665510009.765625,498589996.33789104,633210021.972656,575219970.703125,471399993.89648396,540150024.414063,717900024.414063,579830017.089844,609789978.027344,1049130004.88281,..
+Benin,BEN,Net official development assistance received (current US$),DT.ODA.ODAT.CD,221149993.89648402,205229995.727539,212440002.44140598,244770004.272461,280420013.42773396,221539993.28613302,301989990.234375,391790008.544922,349079986.57226604,400309997.558594,475290008.544922,636719970.703125,677559997.558594,689270019.53125,672609985.351563,507709991.455078,660200012.207031,599320007.324219,436549987.792969,500760009.765625,680000000,574609985.351563,593109985.351563,1049130004.88281,..
+Benin,BEN,"Net official flows from UN agencies, FAO (current US$)",DT.NFL.FAOG.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,730363.667011261,..,..,..,..,494055.00292778,534642.87519455,..,..
+Benin,BEN,"Net official flows from UN agencies, IAEA (current US$)",DT.NFL.IAEA.CD,..,..,..,..,..,..,..,..,..,239999.994635582,300000.011920929,270000.010728836,300000.011920929,289999.99165535,180000.00715255702,409999.99642372096,519999.980926514,280000.001192093,353477.53763198905,435783.14781189,521373.03352356004,343037.009239197,389500.617980957,332713.782787323,..
+Benin,BEN,"Net official flows from UN agencies, IFAD (current US$)",DT.NFL.IFAD.CD,280000.001192093,1289999.96185303,1230000.01907349,1700000.04768372,2059999.94277954,2490000.00953674,4829999.92370605,6369999.88555908,6340000.15258789,2819999.9332428,1250000,689999.997615814,1570000.05245209,1649999.97615814,850000.023841858,639999.985694885,1820000.05245209,3680000.0667572,1943029.99973297,369576.156139374,777830.123901367,-669225.513935089,2367526.53121948,3747330.4271698,..
+Benin,BEN,"Net official flows from UN agencies, ILO (current US$)",DT.NFL.ILOG.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,236328.24420929,322596.75860405003,265480.011701584,326950.013637543,238480.001688004,266880.005598068,216829.165816307,281019.985675812,101952.10576057399,..
+Benin,BEN,"Net official flows from UN agencies, UNAIDS (current US$)",DT.NFL.UNAI.CD,..,..,..,..,..,..,..,..,100000.00149011599,239999.994635582,170000.00178813902,469999.998807907,490000.009536743,469999.998807907,600000.023841858,385794.997215271,379293.739795685,369347.393512726,482244.01473999,480904.102325439,436300.009489059,134205.69896698,531637.0129585271,..,..
+Benin,BEN,"Net official flows from UN agencies, UNDP (current US$)",DT.NFL.UNDP.CD,5510000.228881841,4460000.03814697,3359999.89509583,2970000.02861023,860000.014305115,2839999.91416931,5019999.98092651,2250000,3240000.00953674,2440000.05722046,2920000.07629395,5840000.15258789,5849999.90463257,5000000,3859999.89509583,3988340.85464478,3956039.9055481004,4242110.25238037,3781036.6153717,3898795.60470581,3400936.1267089797,3788172.0066070603,4462170.124053961,4759504.3182373,..
+Benin,BEN,"Net official flows from UN agencies, UNECE (current US$)",DT.NFL.UNEC.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net official flows from UN agencies, UNEP (current US$)",DT.NFL.UNEP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net official flows from UN agencies, UNFPA (current US$)",DT.NFL.UNFP.CD,2940000.05722046,2609999.89509583,1440000.0572204601,720000.028610229,1870000.00476837,3579999.92370605,1690000.0572204601,1870000.00476837,2190000.05722046,1759999.9904632599,2039999.96185303,2690000.05722046,2079999.9237060498,2000000,2089999.9141693101,2390358.92486572,2201914.07203674,1819869.9951171898,1832405.32875061,1641820.5499649,1449267.98343658,1559370.04089355,2312926.29241943,2298830.03234863,..
+Benin,BEN,"Net official flows from UN agencies, UNHCR (current US$)",DT.NFL.UNCR.CD,1340000.0333786,2230000.01907349,1450000.04768372,769999.980926514,610000.014305115,1139999.98569489,750000,899999.976158142,430000.00715255697,319999.99284744303,579999.983310699,740000.009536743,610000.014305115,370000.00476837205,..,..,..,..,480592.310428619,..,..,164666.667580605,259661.34667396502,..,..
+Benin,BEN,"Net official flows from UN agencies, UNICEF (current US$)",DT.NFL.UNCF.CD,1399999.97615814,1690000.0572204601,1730000.01907349,1980000.01907349,1840000.0333786,1570000.05245209,1759999.9904632599,2089999.9141693101,3109999.89509583,4260000.228881841,5349999.90463257,5409999.84741211,4920000.07629395,6389999.8664856,7289999.96185303,5178220.74890137,5313139.91546631,5618047.23739624,5305165.29083252,6778899.6696472205,8121789.93225098,6963368.41583252,7986000.06103516,8895000.45776367,..
+Benin,BEN,"Net official flows from UN agencies, UNIDIR (current US$)",DT.NFL.UNID.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net official flows from UN agencies, UNPBF (current US$)",DT.NFL.UNPB.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,490000.009536743,..
+Benin,BEN,"Net official flows from UN agencies, UNRWA (current US$)",DT.NFL.UNRW.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net official flows from UN agencies, UNTA (current US$)",DT.NFL.UNTA.CD,1679999.94754791,1070000.05245209,1830000.04291534,1870000.00476837,1039999.96185303,2390000.10490417,1799999.95231628,1960000.03814697,2920000.07629395,1429999.94754791,1909999.9666214,839999.973773956,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net official flows from UN agencies, UNWTO (current US$)",DT.NFL.UNWT.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Net official flows from UN agencies, WFP (current US$)",DT.NFL.WFPG.CD,3869999.8855590797,4289999.96185303,819999.992847443,1899999.97615814,1759999.9904632599,1370000.00476837,2500000,2309999.94277954,2660000.08583069,2519999.98092651,1299999.95231628,2029999.97138977,2119999.8855590797,1269999.98092651,-39999.9991059303,823812.5443458561,346343.994140625,230900.004506111,1496691.94221497,1544464.94579315,2774169.921875,2399442.19589233,28559.9995404482,..,..
+Benin,BEN,"Net official flows from UN agencies, WHO (current US$)",DT.NFL.WHOL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1070000.05245209,1346047.28221893,1190485.47744751,1511163.71154785,1405311.1076355001,1206724.52449799,1361762.52365112,1500711.20262146,944777.369499207,1254536.0326767,..
+Benin,BEN,"Number of surgical procedures (per 100,000 population)",SH.SGR.PROC.P5,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Nurses and midwives (per 1,000 people)",SH.MED.NUMW.P3,..,..,..,..,..,..,..,0.747,..,..,..,0.8197,..,0.452,0.4247,0.6802,0.582,..,..,0.7596,..,0.3888,0.3029,..,..
+Benin,BEN,Out-of-pocket expenditure (% of current health expenditure),SH.XPD.OOPC.CH.ZS,..,..,..,52.36999512,49.88695526,52.65975571,53.0214653,51.0565033,51.10164261,50.49408722,49.00123596,47.32984543,46.01295471,44.99471283,43.57491302,37.40644836,42.31209183,44.01254272,40.49658966,43.00109863,43.86722565,44.68420029,47.04356766,..,..
+Benin,BEN,Out-of-pocket expenditure per capita (current US$),SH.XPD.OOPC.PC.CD,..,..,..,8.33037177,8.3972218,9.21395976,11.45601704,12.54451451,12.33948779,12.85233832,13.70084789,14.36456871,14.15381337,13.97804988,15.24966244,14.626222,15.13387123,15.16123604,12.6782589,12.80842055,13.05866075,13.88446199,13.70157679,..,..
+Benin,BEN,"Out-of-pocket expenditure per capita, PPP (current international $)",SH.XPD.OOPC.PP.CD,..,..,..,28.59346514,29.78851221,30.36969835,31.19557198,31.65618527,30.7822201,32.05767791,32.02561742,29.96813575,30.59714492,31.88102172,32.60112426,31.91186494,32.29092441,33.26444391,33.98967087,35.39712118,34.97934789,36.22958992,38.57081966,..,..
+Benin,BEN,"Part time employment, female (% of total female employment)",SL.TLF.PART.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,29.8799991607666,31.6900005340576,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Part time employment, male (% of total male employment)",SL.TLF.PART.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,20.2099990844727,20.1800003051758,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Part time employment, total (% of total employment)",SL.TLF.PART.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,25.3099994659424,26.1299991607666,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Physicians (per 1,000 people)",SH.MED.PHYS.ZS,..,..,..,..,..,..,..,0.0401,..,..,..,0.0623,..,0.0558,0.0577,..,..,..,..,0.0481,..,0.0791,0.0647,..,..
+Benin,BEN,Poverty gap at $1.90 a day (2011 PPP) (%),SI.POV.GAPS,..,..,..,..,..,..,17.5,..,..,..,..,..,..,..,19.1,..,..,..,22.4,..,..,4.5,..,..,..
+Benin,BEN,Poverty gap at $3.20 a day (2011 PPP) (%),SI.POV.LMIC.GP,..,..,..,..,..,..,38.1,..,..,..,..,..,..,..,38.5,..,..,..,39.6,..,..,17.2,..,..,..
+Benin,BEN,Poverty gap at $5.50 a day (2011 PPP) (%),SI.POV.UMIC.GP,..,..,..,..,..,..,59.2,..,..,..,..,..,..,..,57.8,..,..,..,59.3,..,..,38.3,..,..,..
+Benin,BEN,Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population),SI.POV.DDAY,..,..,..,..,..,..,51.4,..,..,..,..,..,..,..,53.2,..,..,..,49.6,..,..,19.2,..,..,..
+Benin,BEN,Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population),SI.POV.LMIC,..,..,..,..,..,..,79.8,..,..,..,..,..,..,..,76.8,..,..,..,76.2,..,..,51.3,..,..,..
+Benin,BEN,Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population),SI.POV.UMIC,..,..,..,..,..,..,93.8,..,..,..,..,..,..,..,90.1,..,..,..,90.6,..,..,79.3,..,..,..
+Benin,BEN,Poverty headcount ratio at national poverty lines (% of population),SI.POV.NAHC,..,..,..,..,..,..,..,..,..,37.5,33,..,..,35.2,36.2,..,..,..,40.1,..,..,..,38.5,..,..
+Benin,BEN,"PPP conversion factor, GDP (LCU per international $)",PA.NUS.PPP,133.375897501819,138.791453532355,203.025667961988,207.146130876974,206.573498714727,210.632783342373,212.880331195101,208.910874222034,211.256183265881,209.22475427275,204.514006075421,213.576494487756,217.605924292001,216.915906498762,220.433578491211,234.004196166992,231.47721862793,225.044235229492,220.523895263672,214.433868408203,216.77360534668,213.135125504233,208.557300547294,212.004495284801,209.042140897802
+Benin,BEN,"PPP conversion factor, private consumption (LCU per international $)",PA.NUS.PRVT.PP,206.859714834669,215.417129894559,211.4934135656,213.106661764563,215.506867989612,217.422789613367,215.758471446469,211.969051714755,216.011453918456,217.175431355212,213.892853841643,222.355121822667,225.148090229367,226.405835245701,225.412475585938,226.481079101563,229.217330932617,224.445343017578,221.996673583984,215.950271606445,219.476272583008,215.624651809854,210.293480934838,214.010071707099,207.950812633461
+Benin,BEN,Price level ratio of PPP conversion factor (GDP) to market exchange rate,PA.NUS.PPPC.RF,0.2285127462598159,0.23525897121147016,0.32986917216715655,0.29166966702286373,0.28205099321683696,0.30363092895215626,0.3670999925074695,0.39616123666800807,0.40066916575607137,0.4004871780264022,0.42728710091959893,0.4788710638738924,0.46270248379416123,0.4383961304703025,0.4677649514316032,0.4583318160347683,0.468672618135204,0.45577905426308024,0.37300326645036286,0.36184921034867545,0.37332483723032267,0.3837185498589567,0.3559538915420499,0.3683280956882221,0.37697126759222166
+Benin,BEN,Proportion of people living below 50 percent of median income (%),SI.DST.50MD,..,..,..,..,..,..,11,..,..,..,..,..,..,..,11.8,..,..,..,20.1,..,..,10.9,..,..,..
+Benin,BEN,Proportion of seats held by women in national parliaments (%),SG.GEN.PARL.ZS,7.2289156626506,7.2289156626506,6.02409638554217,6.02409638554217,6.02409638554217,6.02409638554217,6.02409638554217,7.2289156626506,7.2289156626506,7.2289156626506,10.8433734939759,10.8433734939759,10.8433734939759,10.8433734939759,8.43373493975904,8.43373493975904,8.43373493975904,8.43373493975904,7.2289156626506,7.2289156626506,7.2289156626506,7.2289156626506,7.2289156626506,7.2289156626506,8.43373493975904
+Benin,BEN,"Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)",SG.TIM.UWRK.FE,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,"Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)",SG.TIM.UWRK.MA,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49),SG.VAW.1549.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Benin,BEN,Ratio of female to male labor force participation rate (%) (modeled ILO estimate),SL.TLF.CACT.FM.ZS,72.62435383719051,74.50873562384808,76.49092491427622,78.57947063045307,80.78254655099462,83.11112396664853,84.2121424352945,85.33116921150143,86.46714721577969,87.62307777574138,88.79746493869764,89.99431601715332,91.21032623074379,92.44713092689598,93.70784247575898,93.88618664033,94.10247407323884,94.34541753605265,94.60757349809586,94.82908544592682,95.085492611413,95.37720473663909,95.69938896802903,95.69948089353572,95.50269365477844
+Benin,BEN,Ratio of female to male labor force participation rate (%) (national estimate),SL.TLF.CACT.FM.NE.ZS,..,..,..,..,103.13766149037656,83.11161563472008,102.50033208190892,..,..,..,..,..,..,98.1072523570596,93.70798537511274,..,..,..,..,..,..,81.19890464088841,..,..,..
+Benin,BEN,Refugee population by country or territory of asylum,SM.POP.REFG,2914,2898,3652,4290,4794,5014,5032,4800,30288,10785,7611,6927,7204,7136,7213,4960,190,414,526,804,1056,1167,1238,1396,1736
+Benin,BEN,Refugee population by country or territory of origin,SM.POP.REFG.OR,41,45,44,47,52,228,274,299,402,207,265,315,409,438,460,451,294,330,400,479,572,659,721,606,730
+Benin,BEN,"Self-employed, female (% of female employment) (modeled ILO estimate)",SL.EMP.SELF.FE.ZS,95.9599990844727,96.0100021362305,95.7600021362305,95.6999969482422,95.5199966430664,95.4400024414063,95.3899993896484,95.4400024414063,95.370002746582,95.4000015258789,95.4000015258789,95.5100021362305,95.4599990844727,95.370002746582,95.4199981689453,95.4199981689453,95.2399978637695,94.9899978637695,94.7900009155273,94.8499984741211,94.5199966430664,94.3199996948242,93.8499984741211,..,..
+Benin,BEN,"Self-employed, male (% of male employment) (modeled ILO estimate)",SL.EMP.SELF.MA.ZS,86.0699996948242,86.1100006103516,85.9199981689453,85.7399978637695,85.3000030517578,85.120002746582,84.9000015258789,85,84.8399963378906,84.8399963378906,84.8600006103516,85.0100021362305,84.8300018310547,84.6800003051758,84.8499984741211,84.870002746582,84.5599975585938,84.2399978637695,83.8000030517578,84.0599975585938,83.5100021362305,83.2200012207031,82.5299987792969,..,..
+Benin,BEN,"Self-employed, total (% of total employment) (modeled ILO estimate)",SL.EMP.SELF.ZS,90.4599990844727,90.5599975585938,90.3899993896484,90.3300018310547,90.0599975585938,89.9899978637695,89.8899993896484,90,89.9100036621094,89.9599990844727,90.0100021362305,90.1800003051758,90.0899963378906,90,90.0199966430664,90.0299987792969,89.7900009155273,89.5100021362305,89.1900024414063,89.3499984741211,88.9100036621094,88.6699981689453,88.0999984741211,..,..
+Benin,BEN,"Services, value added (annual % growth)",NV.SRV.TOTL.KD.ZG,6.170111146675012,4.214635484474741,5.896489710740553,12.514646935578185,7.448235244141216,2.5327595634786064,5.711356475358855,3.1717258465008342,4.859523362407401,5.481408309433647,8.288261991707401,12.902628181735082,-0.3415567740317442,2.4291252837945336,8.711358192754176,5.6094599504924645,8.755674640043168,4.988389780788623,-0.024821291929967515,1.851688747135256,5.462127354415742,5.700311558059838,5.217024328433382,4.856620360034114,..
+Benin,BEN,"Services, value added (constant 2015 US$)",NV.SRV.TOTL.KD,2077523794.77605,2165083849.8290877,2292747796.2631655,2579677088.08875,2771817506.1488123,2842020979.1179705,3004338928.339882,3099628322.646524,3250255485.1333284,3428415259.3732495,3712571298.2337794,4191590568.8266993,4177273907.299196,4278745123.9547524,4651481937.857454,4912404954.265959,5342519149.062848,5609024828.331374,5607632595.90431,5711468497.66336,6023436180.813067,6366790809.620313,6698947835.098665,7024290299.566132,..
+Benin,BEN,"Services, value added per worker (constant 2015 US$)",NV.SRV.EMPL.KD,2784.374194484838,2780.040138269271,2814.9531614978614,3016.937805665903,3088.8530512736493,3021.68786488463,3043.646612450782,2986.084181514915,2996.6185715199476,3021.0188794597443,3115.5116828429464,3357.298890917389,3213.342027788153,3160.023156825308,3347.8193972679,3371.641946805001,3485.6793352857126,3479.3882327637893,3332.7025787645157,3237.7250993034686,3251.9873021215453,3268.641682069578,3272.6709722172777,..,..
+Benin,BEN,"Share of youth not in education, employment or training, female (% of female youth population)",SL.UEM.NEET.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,23.1800003051758,..,..,..,..,..,..,40.6800003051758,..,..,..
+Benin,BEN,"Share of youth not in education, employment or training, male (% of male youth population)",SL.UEM.NEET.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10.8900003433228,..,..,..,..,..,..,28.9599990844727,..,..,..
+Benin,BEN,"Share of youth not in education, employment or training, total (% of youth population)",SL.UEM.NEET.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,17.2299995422363,..,..,..,..,..,..,35.0999984741211,..,..,..
+Benin,BEN,"Specialist surgical workforce (per 100,000 population)",SH.MED.SAOP.P5,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1.86,..,..,..,..,..,..,..
+Benin,BEN,"Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day)",SI.SPR.PC40,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1.06,..,..,..,0.87,..,..,..,..,..,..
+Benin,BEN,"Survey mean consumption or income per capita, total population (2011 PPP $ per day)",SI.SPR.PCAP,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2.7,..,..,..,2.71,..,..,..,..,..,..
+Benin,BEN,Unemployment with advanced education (% of total labor force with advanced education),SL.UEM.ADVN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,12.1000003814697,..,..,..,..,..,..,2.25999999046326,..,..,..
+Benin,BEN,"Unemployment with advanced education, female (% of female labor force with advanced education)",SL.UEM.ADVN.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,16.1800003051758,..,..,..,..,..,..,3.85999989509583,..,..,..
+Benin,BEN,"Unemployment with advanced education, male (% of male labor force with advanced education)",SL.UEM.ADVN.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10.8999996185303,..,..,..,..,..,..,1.69000005722046,..,..,..
+Benin,BEN,Unemployment with basic education (% of total labor force with basic education),SL.UEM.BASC.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2.46000003814697,..,..,..,..,..,..,0.829999983310699,..,..,..
+Benin,BEN,"Unemployment with basic education, female (% of female labor force with basic education)",SL.UEM.BASC.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3.50999999046326,..,..,..,..,..,..,1.35000002384186,..,..,..
+Benin,BEN,"Unemployment with basic education, male (% of male labor force with basic education)",SL.UEM.BASC.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1.71000003814697,..,..,..,..,..,..,0.439999997615814,..,..,..
+Benin,BEN,Unemployment with intermediate education (% of total labor force with intermediate education),SL.UEM.INTM.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,6.05000019073486,..,..,..,..,..,..,2,..,..,..
+Benin,BEN,"Unemployment with intermediate education, female (% of female labor force with intermediate education)",SL.UEM.INTM.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,8.36999988555908,..,..,..,..,..,..,3.25999999046326,..,..,..
+Benin,BEN,"Unemployment with intermediate education, male (% of male labor force with intermediate education)",SL.UEM.INTM.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4.76999998092651,..,..,..,..,..,..,1.10000002384186,..,..,..
+Benin,BEN,"Unemployment, female (% of female labor force) (modeled ILO estimate)",SL.UEM.TOTL.FE.ZS,0.505999982357025,0.493999987840652,0.476999998092651,0.46000000834465,0.444000005722046,0.426999986171722,0.515999972820282,0.601999998092651,0.697000026702881,0.779999971389771,0.864000022411346,0.957000017166138,1.05599999427795,1.14699995517731,2.87299990653992,2.69799995422363,2.51799988746643,2.3659999370575,2.24300003051758,2.06699991226196,1.8860000371933,1.7150000333786,1.71700000762939,1.8400000333786,1.86000001430511
+Benin,BEN,"Unemployment, female (% of female labor force) (national estimate)",SL.UEM.TOTL.FE.NE.ZS,..,..,..,..,..,0.430000007152557,..,..,..,..,..,..,..,1.13999998569489,2.85999989509583,..,..,..,..,..,..,1.73000001907349,..,..,..
+Benin,BEN,"Unemployment, male (% of male labor force) (modeled ILO estimate)",SL.UEM.TOTL.MA.ZS,1.56099998950958,1.44900000095367,1.31400001049042,1.182000041008,1.05400002002716,0.922999978065491,0.930999994277954,0.929000020027161,0.941999971866608,0.933000028133392,0.924000024795532,0.927999973297119,0.936999976634979,0.935999989509583,2.43099999427795,2.24900007247925,2.06200003623962,1.90600001811981,1.77600002288818,1.59300005435944,1.40699994564056,1.22899997234344,1.22800004482269,1.33299994468689,1.29499995708466
+Benin,BEN,"Unemployment, male (% of male labor force) (national estimate)",SL.UEM.TOTL.MA.NE.ZS,..,..,..,..,..,0.930000007152557,..,..,..,..,..,..,..,0.930000007152557,2.42000007629395,..,..,..,..,..,..,1.24000000953674,..,..,..
+Benin,BEN,"Unemployment, total (% of total labor force) (modeled ILO estimate)",SL.UEM.TOTL.ZS,1.09599995613098,1.02300000190735,0.935000002384186,0.851000010967255,0.771000027656555,0.689999997615814,0.735000014305115,0.773999989032745,0.824999988079071,0.860000014305115,0.894999980926514,0.941999971866608,0.995000004768372,1.03999996185303,2.65000009536743,2.47099995613098,2.28699994087219,2.13299989700317,2.00699996948242,1.82799994945526,1.64400005340576,1.47000002861023,1.47000002861023,1.58399999141693,1.57400000095367
+Benin,BEN,"Unemployment, total (% of total labor force) (national estimate)",SL.UEM.TOTL.NE.ZS,..,..,..,..,..,0.689999997615814,..,..,..,..,..,..,..,1.03999996185303,2.65000009536743,..,..,..,..,..,..,1.47000002861023,..,..,..
+Benin,BEN,"Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.FE.ZS,0.670000016689301,0.660000026226044,0.646000027656555,0.632000029087067,0.617999970912933,0.602999985218048,0.855000019073486,1.10000002384186,1.35699999332428,1.60300004482269,1.85300004482269,2.12100005149841,2.40499997138977,2.68400001525879,5.73699998855591,5.50899982452393,5.27600002288818,5.07800006866455,4.92000007629395,4.69399976730347,4.45900011062622,4.23699998855591,4.26300001144409,4.49900007247925,4.55999994277954
+Benin,BEN,"Unemployment, youth female (% of female labor force ages 15-24) (national estimate)",SL.UEM.1524.FE.NE.ZS,..,..,..,..,..,0.610000014305115,..,..,..,..,..,..,..,3.10999989509583,5.94999980926514,..,..,..,..,..,..,4.53999996185303,..,..,..
+Benin,BEN,"Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.MA.ZS,1.73300004005432,1.60599994659424,1.47000002861023,1.33299994468689,1.19400000572205,1.05200004577637,1.11199998855591,1.16600000858307,1.22399997711182,1.27199995517731,1.32000005245209,1.37300002574921,1.42900002002716,1.48199999332428,5.05800008773804,4.75400018692017,4.44600009918213,4.16300010681152,3.90499997138977,3.6010000705719,3.29299998283386,2.9909999370575,3.02300000190735,3.21199989318848,3.12599992752075
+Benin,BEN,"Unemployment, youth male (% of male labor force ages 15-24) (national estimate)",SL.UEM.1524.MA.NE.ZS,..,..,..,..,..,1.07000005245209,..,..,..,..,..,..,..,1.52999997138977,5.21000003814697,..,..,..,..,..,..,3.16000008583069,..,..,..
+Benin,BEN,"Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.ZS,1.25499999523163,1.17200005054474,1.08399999141693,0.998000025749207,0.912000000476837,0.827000021934509,0.98199999332428,1.13199996948242,1.29200005531311,1.442999958992,1.59800004959106,1.76800000667572,1.95000004768372,2.13000011444092,5.42799997329712,5.16599988937378,4.90000009536743,4.66400003433228,4.46099996566772,4.20100021362305,3.93400001525879,3.67700004577637,3.70700001716614,3.92199993133545,3.9210000038147
+Benin,BEN,"Unemployment, youth total (% of total labor force ages 15-24) (national estimate)",SL.UEM.1524.NE.ZS,..,..,..,..,..,0.819999992847443,..,..,..,..,..,..,..,2.38000011444092,5.63000011444092,..,..,..,..,..,..,3.91000008583069,..,..,..
+Benin,BEN,"Vulnerable employment, female (% of female employment) (modeled ILO estimate)",SL.EMP.VULN.FE.ZS,95.4200019836426,95.4600009918213,95.1599979400635,95.0900039672852,94.9000015258789,94.810001373291,94.7700004577637,94.810001373291,94.73000335693361,94.7700023651123,94.75000190734869,94.8500003814697,94.8299961090088,94.71999931335449,94.7600021362305,94.76000022888181,94.56999778747561,94.290002822876,94.1099967956543,94.1499996185303,93.8099975585938,93.5900020599365,93.1200027465821,..,..
+Benin,BEN,"Vulnerable employment, male (% of male employment) (modeled ILO estimate)",SL.EMP.VULN.MA.ZS,84.5699958801269,84.5999984741211,84.25,84.05999755859371,83.60000038146981,83.3999996185303,83.1999959945678,83.2700033187866,83.0800008773804,83.0699996948242,83.0699968338013,83.2200031280517,83.0499992370606,82.870002746582,83.0199985504151,83.02000331878659,82.69999885559079,82.359998703003,81.93999767303471,82.13000202178961,81.5999994277954,81.2899971008301,80.61999893188472,..,..
+Benin,BEN,"Vulnerable employment, total (% of total employment) (modeled ILO estimate)",SL.EMP.VULN.ZS,89.3799991607666,89.4699993133545,89.2200012207031,89.1399993896484,88.8699989318847,88.7800025939941,88.69999885559079,88.790002822876,88.689998626709,88.75,88.7900009155273,88.9400024414063,88.87999725341801,88.7700004577637,88.76999664306639,88.7600021362305,88.5100021362305,88.19999980926511,87.9099960327148,88.0300016403198,87.5799999237061,87.3300018310547,86.7699985504151,..,..
+Benin,BEN,"Wage and salaried workers, female (% of female employment) (modeled ILO estimate)",SL.EMP.WORK.FE.ZS,4.03999996185303,3.99000000953674,4.23999977111816,4.30000019073486,4.48000001907349,4.55999994277954,4.6100001335144,4.55999994277954,4.6399998664856,4.59999990463257,4.59999990463257,4.48999977111816,4.53999996185303,4.63000011444092,4.59000015258789,4.57999992370605,4.76000022888184,5.01000022888184,5.21000003814697,5.15000009536743,5.48000001907349,5.67999982833862,6.15000009536743,..,..
+Benin,BEN,"Wage and salaried workers, male (% of male employment) (modeled ILO estimate)",SL.EMP.WORK.MA.ZS,13.9300003051758,13.8900003433228,14.0799999237061,14.2600002288818,14.6999998092651,14.8800001144409,15.1000003814697,15,15.1700000762939,15.1599998474121,15.1400003433228,14.9899997711182,15.1700000762939,15.3199996948242,15.1499996185303,15.1300001144409,15.4399995803833,15.7600002288818,16.2000007629395,15.9399995803833,16.4899997711182,16.7900009155273,17.4699993133545,..,..
+Benin,BEN,"Wage and salaried workers, total (% of total employment) (modeled ILO estimate)",SL.EMP.WORK.ZS,9.53999996185303,9.4399995803833,9.60999965667725,9.67000007629395,9.9399995803833,10.0100002288818,10.1099996566772,10.0100002288818,10.0900001525879,10.039999961853,9.98999977111816,9.81999969482422,9.90999984741211,10,9.97999954223633,9.97000026702881,10.2200002670288,10.4899997711182,10.8100004196167,10.6499996185303,11.0900001525879,11.3299999237061,11.9099998474121,..,..
+Benin,BEN,Women Business and the Law Index Score (scale 1-100),SG.LAW.INDX,40,49.375,49.375,49.375,49.375,49.375,46.875,46.875,65.625,65.625,71.875,71.875,71.875,71.875,71.875,74.375,74.375,74.375,74.375,74.375,74.375,74.375,74.375,77.5,80.625
+Benin,BEN,"Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care  (% of women age 15-49)",SG.DMK.SRCR.FN.ZS,..,..,..,..,..,..,..,..,..,41.1,..,..,..,..,..,38.2,..,..,..,..,..,35.7,..,..,..
+Benin,BEN,"Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)",SG.DMK.ALLD.FN.ZS,..,..,..,..,17.2,..,..,..,..,35.6,..,..,..,..,..,48.3,..,..,..,..,..,36.3,..,..,..
+Benin,BEN,Women who believe a husband is justified in beating his wife (any of five reasons) (%),SG.VAW.REAS.ZS,..,..,..,..,60.4,..,..,..,..,46.5,..,..,..,..,..,16.2,..,36,..,..,..,31.8,..,..,..
+Benin,BEN,Women who believe a husband is justified in beating his wife when she argues with him (%),SG.VAW.ARGU.ZS,..,..,..,..,39.4,..,..,..,..,34,..,..,..,..,..,10.6,..,..,..,..,..,20.8,..,..,..
+Benin,BEN,Women who believe a husband is justified in beating his wife when she burns the food (%),SG.VAW.BURN.ZS,..,..,..,..,29.2,..,..,..,..,19,..,..,..,..,..,6,..,..,..,..,..,13.9,..,..,..
+Benin,BEN,Women who believe a husband is justified in beating his wife when she goes out without telling him (%),SG.VAW.GOES.ZS,..,..,..,..,44,..,..,..,..,36.7,..,..,..,..,..,7.7,..,..,..,..,..,21.2,..,..,..
+Benin,BEN,Women who believe a husband is justified in beating his wife when she neglects the children (%),SG.VAW.NEGL.ZS,..,..,..,..,51,..,..,..,..,36.4,..,..,..,..,..,8.8,..,..,..,..,..,22.6,..,..,..
+Benin,BEN,Women who believe a husband is justified in beating his wife when she refuses sex with him (%),SG.VAW.REFU.ZS,..,..,..,..,17,..,..,..,..,17.3,..,..,..,..,..,6.5,..,..,..,..,..,12.8,..,..,..
+Ethiopia,ETH,Adequacy of social insurance programs (% of total welfare of beneficiary households),per_si_allsi.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,20.9140150847623,..,..,12.6997838042388,..,..,..
+Ethiopia,ETH,Adequacy of social protection and labor programs (% of total welfare of beneficiary households),per_allsp.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,11.6366160754953,..,..,8.25348841187211,..,..,..
+Ethiopia,ETH,Adequacy of social safety net programs (% of total welfare of beneficiary households),per_sa_allsa.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,9.52217128949911,..,..,7.4024416493194,..,..,..
+Ethiopia,ETH,Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households),per_lm_alllm.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Adjusted net national income (annual % growth),NY.ADJ.NNTY.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10.21881544040319,12.144857471835536,14.476072948698885,11.028752833311643,14.85168110168658,10.497847399841632,19.469782849015445,26.336156248078055,21.88580222839998,..
+Ethiopia,ETH,Adjusted net national income (constant 2015 US$),NY.ADJ.NNTY.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,31520663398.79651,34741701817.110245,38961031986.08838,44601059397.960434,49520000000,56874552481.55519,62845156210.4117,75080971655.7034,94854413663.52464,115614063042.83205,..
+Ethiopia,ETH,Adjusted net national income (current US$),NY.ADJ.NNTY.CD,5837000000,4952000000,5753000000,6180000000,6208000000,5369000000,4718000000,6420000000,8480000000,10960000000,13670000000,19560000000,23930000000,22240000000,23200000000,31910000000,35390000000,42510000000,49520000000,58230000000,65210000000,70980000000,81900000000,92830000000,..
+Ethiopia,ETH,Adjusted net national income per capita (annual % growth),NY.ADJ.NNTY.PC.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,7.143744719775654,9.018899493590823,11.315285445614776,8.010461281129167,11.783150677756836,7.593678436143293,16.380359064162604,23.118744272176997,18.82724247671399,..
+Ethiopia,ETH,Adjusted net national income per capita (constant 2015 US$),NY.ADJ.NNTY.PC.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,349.68591719749884,374.6665864430943,408.4573893104645,454.6755088346494,491.09711442462606,548.9638273913956,590.6503751742431,687.4010274416077,846.3195131001501,1005.6581399592603,..
+Ethiopia,ETH,Adjusted net national income per capita (current US$),NY.ADJ.NNTY.PC.CD,96.16550074440534,79.22220940247321,89.41142447055009,93.31850243614896,91.08058457420604,76.54462534549512,65.37289757997098,86.4768661990594,111.07282067725343,139.6370367109719,169.44668517474014,235.90072274867856,280.7567592541763,253.76551395583672,257.3776184955462,344.12852992454776,371.01961295221395,433.3586722257277,491.09711442462606,562.0468605773701,612.8763660982246,649.8547348527678,730.7363510650866,807.4730934577778,..
+Ethiopia,ETH,"Adjusted net savings, excluding particulate emission damage (% of GNI)",NY.ADJ.SVNX.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,8.3479905,7.8459832,5.0236968,10.278336,9.0084576,12.04212,13.356527,20.230523,17.433329,16.472534,..
+Ethiopia,ETH,"Adjusted net savings, excluding particulate emission damage (current US$)",NY.ADJ.SVNX.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2662000000,3391000000,2388000000,5700000000,5795000000,8918000000,10860000000,16970000000,16620000000,17630000000,..
+Ethiopia,ETH,"Adjusted net savings, including particulate emission damage (% of GNI)",NY.ADJ.SVNG.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,6.9533322,6.5334668,3.8164815,9.1289491,7.9434845,11.046077,12.409725,19.320504,16.579218,15.651063,..
+Ethiopia,ETH,"Adjusted net savings, including particulate emission damage (current US$)",NY.ADJ.SVNG.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2217000000,2823000000,1814000000,5063000000,5110000000,8180000000,10090000000,16210000000,15800000000,16750000000,..
+Ethiopia,ETH,Adjusted savings: carbon dioxide damage (% of GNI),NY.ADJ.DCO2.GN.ZS,0.5969287,0.71571975,0.74090315,0.81696951,1.0475209,1.1831063,1.2421817,1.1677439,0.9500201,0.87214821,0.79905792,0.68356347,0.59114391,0.62282341,0.70443545,0.61212672,0.70035756,0.74963786,0.69821002,0.72368141,0.71165269,0.76032133,0.76853559,0.76906447,..
+Ethiopia,ETH,Adjusted savings: carbon dioxide damage (current US$),NY.ADJ.DCO2.CD,50692772,55481244,56666815,66846597,85687941,92249255,106300000,117600000,117500000,132900000,157600000,185200000,191500000,185800000,224600000,264500000,333000000,415700000,449100000,535900000,578500000,637800000,732600000,822900000,..
+Ethiopia,ETH,Adjusted savings: consumption of fixed capital (% of GNI),NY.ADJ.DKAP.GN.ZS,3.8956512,4.6515662,5.0598519,5.884303,5.8855951,7.798011,8.4689733,8.255604,8.0943806,9.2747794,8.8485951,9.0713847,9.7164559,9.6364209,9.951723,11.35723,11.693651,9.9950851,10.796508,10.123111,9.8684996,9.4723878,8.5826304,8.0846719,..
+Ethiopia,ETH,Adjusted savings: consumption of fixed capital (current US$),NY.ADJ.DKAP.CD,330800000,360600000,387000000,481500000,481400000,608000000,724700000,831100000,1001000000,1414000000,1745000000,2457000000,3148000000,2874000000,3173000000,4908000000,5559000000,5543000000,6945000000,7497000000,8022000000,7947000000,8181000000,8651000000,..
+Ethiopia,ETH,Adjusted savings: education expenditure (% of GNI),NY.ADJ.AEDU.GN.ZS,2.8,3.4267446,2.3,2.43,2.38,2.33,2.645,2.96,3.275,3.59,3.69,3.82,3.14,2.96,3.66,3.64,2.88,2.8471708,3.0744553,3.0744553,3.0744553,3.0744553,3.0744553,3.0744553,..
+Ethiopia,ETH,Adjusted savings: education expenditure (current US$),NY.ADJ.AEDU.CD,237800000,265600000,175900000,198800000,194700000,181700000,226300000,298000000,405000000,547200000,727700000,1035000000,1017000000,882800000,1167000000,1573000000,1369000000,1579000000,1978000000,2277000000,2499000000,2579000000,2931000000,3290000000,..
+Ethiopia,ETH,Adjusted savings: energy depletion (% of GNI),NY.ADJ.DNGY.GN.ZS,0,0,0,0,0,0,0,0,0,0,0,0,5.521e-05,0.00021817,0.00015073,0,0,0,0,1.917e-06,2.332e-06,2.841e-06,1.714e-06,1.291e-06,..
+Ethiopia,ETH,Adjusted savings: energy depletion (current US$),NY.ADJ.DNGY.CD,0,0,0,0,0,0,0,0,0,0,0,0,17885.298,65069.333,48057.939,0,0,0,0,1419.5364,1895.2451,2383.7716,1634.2711,1381.8877,..
+Ethiopia,ETH,Adjusted savings: gross savings (% of GNI),NY.ADJ.ICTR.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,32.629238,30.981064,28.398421,31.53698,29.64263,31.054655,30.772769,33.312217,29.210011,27.391753,..
+Ethiopia,ETH,Adjusted savings: mineral depletion (% of GNI),NY.ADJ.DMIN.GN.ZS,0.06047211,0.04514953,0.05871864,0.09530946,0.08900567,0.17170958,0.057315,0.02989115,0.0497452,0.10350595,0.09810228,0.07143858,0.08353351,0.20727509,0.53837337,0.42210623,0.26448335,0.17635782,0.08642505,0.09158846,0.08647975,0.02896201,0,0.03224729,..
+Ethiopia,ETH,Adjusted savings: mineral depletion (current US$),NY.ADJ.DMIN.CD,5135452.4,3499906.3,4491003.3,7798471,7280725.6,13388552,4904777.4,3009338,6151170.1,15776855,19347541,19350460,27061298,61820987,171700000,182400000,125700000,97807047,55594497,67824860,70295234,24296820,0,34504600,..
+Ethiopia,ETH,Adjusted savings: natural resources depletion (% of GNI),NY.ADJ.DRES.GN.ZS,27.37169711,31.47054453,19.717078639999997,18.58681746,18.22300267,23.34389858,36.396100000000004,27.97308615,23.3243822,18.83521395,21.85547528,18.72274658,16.41201872,15.78891726,17.2850891,14.805724230000001,13.860715350000001,13.36109182,12.21391005,11.240198377,9.910544582,5.923439750999999,5.4999709139999995,5.155870881,..
+Ethiopia,ETH,Adjusted savings: net forest depletion (% of GNI),NY.ADJ.DFOR.GN.ZS,27.311225,31.425395,19.65836,18.491508,18.133997,23.172189,36.338785,27.943195,23.274637,18.731708,21.757373,18.651308,16.32843,15.581424,16.746565,14.383618,13.596232,13.184734,12.127485,11.148608,9.8240625,5.8944749,5.4999692,5.1236223,..
+Ethiopia,ETH,Adjusted savings: net forest depletion (current US$),NY.ADJ.DFOR.CD,2319000000,2436000000,1504000000,1513000000,1483000000,1807000000,3110000000,2813000000,2878000000,2855000000,4291000000,5052000000,5290000000,4647000000,5339000000,6216000000,6464000000,7312000000,7801000000,8256000000,7986000000,4945000000,5243000000,5482000000,..
+Ethiopia,ETH,Adjusted savings: net national savings (% of GNI),NY.ADJ.NNAT.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,22.677515,19.623834,16.70477,21.541895,18.846123,20.931545,20.904269,23.839829,20.62738,19.323014,..
+Ethiopia,ETH,Adjusted savings: net national savings (current US$),NY.ADJ.NNAT.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,7230000000,8480000000,7942000000,11950000000,12120000000,15500000000,16990000000,20000000000,19660000000,20680000000,..
+Ethiopia,ETH,Adjusted savings: particulate emission damage (% of GNI),NY.ADJ.DPEM.GN.ZS,3.345853,3.4366005,3.2116814,2.9817783,2.7539495,2.6677037,2.6670107,2.316795,2.1262439,1.946719,1.8129426,1.7284152,1.645612,1.4972896,1.3946583,1.3125164,1.2072153,1.1493866,1.064973,0.99604273,0.94680229,0.91001936,0.85411115,0.82147072,..
+Ethiopia,ETH,Adjusted savings: particulate emission damage (current US$),NY.ADJ.DPEM.CD,284100000,266400000,245600000,244000000,225300000,208000000,228200000,233200000,262900000,296700000,357500000,468200000,533100000,446600000,444700000,567200000,573900000,637400000,685100000,737600000,769600000,763400000,814200000,879000000,..
+Ethiopia,ETH,"Agriculture, forestry, and fishing, value added (annual % growth)",NV.AGR.TOTL.KD.ZG,2.0021471480415727,-9.640327399168527,3.397766244090363,3.0531627146003615,9.624306668984019,-1.8755473297294856,-10.484884878793139,16.944821393816255,13.542938005045642,10.908781446100122,9.44831688479593,7.5014730247632,6.360960330294205,5.130302621278673,9.014984816622444,4.9220987229010404,7.098457639280767,5.446729289622283,6.377789826996107,4.199835314370986,6.677348265589856,3.5068347770810533,3.834364931112134,4.253859861622189,5.543217093876265
+Ethiopia,ETH,"Agriculture, forestry, and fishing, value added (constant 2015 US$)",NV.AGR.TOTL.KD,9435421614.991114,8525816079.814056,8815503380.607206,9084655042.92824,9958990104.078976,9772204531.1139,8747600135.9064,10229865355.18097,11615289678.23277,12882376243.56261,14099543973.346077,15157217461.12126,16121362050.999607,16948436710.887865,18476335707.02927,19385759190.903866,20761849095.123154,21892690810.854404,23288960618.24479,24267058610.639786,25887454627.887016,26795284889.678837,27822713896.68027,29006253155.54513,30614132738.756332
+Ethiopia,ETH,"Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)",NV.AGR.EMPL.KD,499.74533517746397,435.4939221224641,436.1550638651492,431.0014636594273,455.33596194649823,428.9010049306933,367.80001985882666,415.69090139825323,454.4355655056186,493.34523078307467,528.8961290719692,556.9527651703305,580.2991017161797,597.8921009652,637.5237685837068,653.3773626548143,684.9924971781484,705.9698262241192,734.4591300750631,749.2433771369044,782.2556982392997,791.1345979261696,803.9777799281034,..,..
+Ethiopia,ETH,"Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)",SI.SPR.PC40.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,0.92,..,..,..,..,..,..
+Ethiopia,ETH,"Annualized average growth rate in per capita real survey mean consumption or income, total population (%)",SI.SPR.PCAP.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2.14,..,..,..,..,..,..
+Ethiopia,ETH,"Average working hours of children, study and work, ages 7-14 (hours per week)",SL.TLF.0714.SW.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,18.8,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Average working hours of children, study and work, female, ages 7-14 (hours per week)",SL.TLF.0714.SW.FE.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,15.7,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Average working hours of children, study and work, male, ages 7-14 (hours per week)",SL.TLF.0714.SW.MA.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,20.5,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Average working hours of children, working only, ages 7-14 (hours per week)",SL.TLF.0714.WK.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,29.1,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Average working hours of children, working only, female, ages 7-14 (hours per week)",SL.TLF.0714.WK.FE.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,24,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Average working hours of children, working only, male, ages 7-14 (hours per week)",SL.TLF.0714.WK.MA.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,31.9,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits),per_si_allsi.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1.82762306310195,..,..,0.828874344167305,..,..,..
+Ethiopia,ETH,Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits),per_allsp.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,8.72177202320577,..,..,13.8368662486227,..,..,..
+Ethiopia,ETH,Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits),per_sa_allsa.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,11.66871908066,..,..,17.2809582588435,..,..,..
+Ethiopia,ETH,Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits),per_lm_alllm.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Child employment in agriculture (% of economically active children ages 7-14),SL.AGR.0714.ZS,..,..,..,..,..,..,..,..,94.61,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Child employment in agriculture, female (% of female economically active children ages 7-14)",SL.AGR.0714.FE.ZS,..,..,..,..,..,..,..,..,91.4,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Child employment in agriculture, male (% of male economically active children ages 7-14)",SL.AGR.0714.MA.ZS,..,..,..,..,..,..,..,..,96.8,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Child employment in manufacturing (% of economically active children ages 7-14),SL.MNF.0714.ZS,..,..,..,..,..,..,..,..,1.48,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Child employment in manufacturing, female (% of female economically active children ages 7-14)",SL.MNF.0714.FE.ZS,..,..,..,..,..,..,..,..,2.79,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Child employment in manufacturing, male (% of male economically active children ages 7-14)",SL.MNF.0714.MA.ZS,..,..,..,..,..,..,..,..,0.6,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Child employment in services (% of economically active children ages 7-14),SL.SRV.0714.ZS,..,..,..,..,..,..,..,..,3.72,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Child employment in services, female (% of female economically active children ages 7-14)",SL.SRV.0714.FE.ZS,..,..,..,..,..,..,..,..,5.6,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Child employment in services, male (% of male economically active children ages 7-14)",SL.SRV.0714.MA.ZS,..,..,..,..,..,..,..,..,2.4,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, female (% of female children ages 7-14)",SL.TLF.0714.FE.ZS,..,..,..,..,..,..,..,..,47.1,..,..,..,..,..,19.5,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, male (% of male children ages 7-14)",SL.TLF.0714.MA.ZS,..,..,..,..,..,..,..,..,64.3,..,..,..,..,..,32.5,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, self-employed (% of children in employment, ages 7-14)",SL.SLF.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, self-employed, female (% of female children in employment, ages 7-14)",SL.SLF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, self-employed, male (% of male children in employment, ages 7-14)",SL.SLF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, study and work (% of children in employment, ages 7-14)",SL.TLF.0714.SW.ZS,..,..,..,..,..,..,..,..,30.6,..,..,..,..,..,64.8778981972078,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, study and work, female (% of female children in employment, ages 7-14)",SL.TLF.0714.SW.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,65.4493508111309,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, study and work, male (% of male children in employment, ages 7-14)",SL.TLF.0714.SW.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,64.5496428302855,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, total (% of children ages 7-14)",SL.TLF.0714.ZS,..,..,..,..,..,..,..,..,56,..,..,..,..,..,26.1,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, unpaid family workers (% of children in employment, ages 7-14)",SL.FAM.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,90.66,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14)",SL.FAM.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,90.37,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14)",SL.FAM.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,90.82,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, wage workers (% of children in employment, ages 7-14)",SL.WAG.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3.28,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, wage workers, female (% of female children in employment, ages 7-14)",SL.WAG.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3.32,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, wage workers, male (% of male children in employment, ages 7-14)",SL.WAG.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3.25,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, work only (% of children in employment, ages 7-14)",SL.TLF.0714.WK.ZS,..,..,..,..,..,..,..,..,69.4,..,..,..,..,..,35.1221018027922,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, work only, female (% of female children in employment, ages 7-14)",SL.TLF.0714.WK.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,34.5506491888691,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Children in employment, work only, male (% of male children in employment, ages 7-14)",SL.TLF.0714.WK.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,35.4503571697145,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Community health workers (per 1,000 people)",SH.MED.CMHW.P3,..,..,..,..,..,..,0.185,0.211,..,..,0.218,0.296,0.363,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Contributing family workers, female (% of female employment) (modeled ILO estimate)",SL.FAM.WORK.FE.ZS,58.1100006103516,57.5499992370605,57.1500015258789,59.6699981689453,60.1399993896484,60.9500007629395,62.6500015258789,63.9700012207031,65.379997253418,64.8399963378906,63.7000007629395,63.9599990844727,63.5499992370605,62.4000015258789,61.1800003051758,60.1100006103516,59.0699996948242,57.4799995422363,55.6800003051758,53.5800018310547,52.0499992370605,50.1699981689453,49.1500015258789,..,..
+Ethiopia,ETH,"Contributing family workers, male (% of male employment) (modeled ILO estimate)",SL.FAM.WORK.MA.ZS,25.5100002288818,24.4500007629395,23.3999996185303,23.8600006103516,23.7099990844727,23.5400009155273,23.5499992370605,23.6000003814697,23.7900009155273,23.6200008392334,23.3700008392334,23.8700008392334,24.0699996948242,24.0100002288818,23.9699993133545,23.9899997711182,24.0100002288818,23.2900009155273,22.6200008392334,21.7800006866455,21.2900009155273,20.6100006103516,20.2999992370605,..,..
+Ethiopia,ETH,"Contributing family workers, total (% of total employment) (modeled ILO estimate)",SL.FAM.WORK.ZS,39.7599983215332,38.9799995422363,38.25,39.7299995422363,39.9599990844727,40.3300018310547,41.189998626709,41.9000015258789,42.75,42.4300003051758,41.7900009155273,42.189998626709,42.0999984741211,41.5400009155273,40.9700012207031,40.4900016784668,40.0099983215332,38.9300003051758,37.7900009155273,36.4000015258789,35.4700012207031,34.2700004577637,33.6500015258789,..,..
+Ethiopia,ETH,Coverage of social insurance programs (% of population),per_si_allsi.cov_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2.36834901780239,..,..,1.2535170900859,..,..,..
+Ethiopia,ETH,Coverage of social insurance programs in 2nd quintile (% of population),per_si_allsi.cov_q2_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,0.869569727834499,..,..,0.303292552014989,..,..,..
+Ethiopia,ETH,Coverage of social insurance programs in 3rd quintile (% of population),per_si_allsi.cov_q3_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1.79603630508859,..,..,1.04934856149933,..,..,..
+Ethiopia,ETH,Coverage of social insurance programs in 4th quintile (% of population),per_si_allsi.cov_q4_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3.04401028589865,..,..,1.43406157297065,..,..,..
+Ethiopia,ETH,Coverage of social insurance programs in poorest quintile (% of population),per_si_allsi.cov_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,0.338503918404981,..,..,0.0896354963151229,..,..,..
+Ethiopia,ETH,Coverage of social insurance programs in richest quintile (% of population),per_si_allsi.cov_q5_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.78840386945914,..,..,3.38763381477739,..,..,..
+Ethiopia,ETH,Coverage of social protection and labor programs (% of population),per_allsp.cov_pop_tot,..,..,..,..,..,..,..,0.514473589852514,..,..,..,..,..,13.2479485078869,..,..,..,..,23.1508611348385,..,..,21.6635577360575,..,..,..
+Ethiopia,ETH,Coverage of social safety net programs (% of population),per_sa_allsa.cov_pop_tot,..,..,..,..,..,..,..,0.514473589852514,..,..,..,..,..,13.2479485078869,..,..,..,..,21.1034818238013,..,..,20.7062597970922,..,..,..
+Ethiopia,ETH,Coverage of social safety net programs in 2nd quintile (% of population),per_sa_allsa.cov_q2_tot,..,..,..,..,..,..,..,0.700932505364392,..,..,..,..,..,16.2680164050415,..,..,..,..,25.7353160066646,..,..,24.2910353456234,..,..,..
+Ethiopia,ETH,Coverage of social safety net programs in 3rd quintile (% of population),per_sa_allsa.cov_q3_tot,..,..,..,..,..,..,..,0.66717731695518,..,..,..,..,..,12.6373211860833,..,..,..,..,25.1533063030421,..,..,23.1515541114544,..,..,..
+Ethiopia,ETH,Coverage of social safety net programs in 4th quintile (% of population),per_sa_allsa.cov_q4_tot,..,..,..,..,..,..,..,0.229809464791454,..,..,..,..,..,12.9496824451568,..,..,..,..,20.7183505019502,..,..,13.3787413285914,..,..,..
+Ethiopia,ETH,Coverage of social safety net programs in poorest quintile (% of population),per_sa_allsa.cov_q1_tot,..,..,..,..,..,..,..,0.595208317551733,..,..,..,..,..,16.2103107940177,..,..,..,..,21.2264095736936,..,..,30.0139095711919,..,..,..
+Ethiopia,ETH,Coverage of social safety net programs in richest quintile (% of population),per_sa_allsa.cov_q5_tot,..,..,..,..,..,..,..,0.379344019794808,..,..,..,..,..,8.18105285008741,..,..,..,..,12.6926155749894,..,..,12.7142196803755,..,..,..
+Ethiopia,ETH,Coverage of unemployment benefits and ALMP (% of population),per_lm_alllm.cov_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Coverage of unemployment benefits and ALMP in 2nd quintile (% of population),per_lm_alllm.cov_q2_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Coverage of unemployment benefits and ALMP in 3rd quintile (% of population),per_lm_alllm.cov_q3_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Coverage of unemployment benefits and ALMP in 4th quintile (% of population),per_lm_alllm.cov_q4_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Coverage of unemployment benefits and ALMP in poorest quintile (% of population),per_lm_alllm.cov_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Coverage of unemployment benefits and ALMP in richest quintile (% of population),per_lm_alllm.cov_q5_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Current health expenditure (% of GDP),SH.XPD.CHEX.GD.ZS,..,..,..,4.3650465,4.72316694,4.7126298,4.89970922,4.31281853,4.10098124,4.45757294,5.00128365,4.28063917,4.64983416,5.46637249,4.46897888,4.53959608,4.07506514,4.03363609,3.82317114,3.60033059,3.45336151,3.30818701,3.23808599,..,..
+Ethiopia,ETH,Current health expenditure per capita (current US$),SH.XPD.CHEX.PC.CD,..,..,..,5.38449526,5.61692476,5.25928497,5.84133863,5.88065052,6.65360308,8.66179371,11.98231506,13.45180225,15.63803864,16.7058506,15.11117077,20.66479492,19.88365173,22.27192688,23.91623878,25.07559586,24.92481232,24.29408836,26.74220467,..,..
+Ethiopia,ETH,"Current health expenditure per capita, PPP (current international $)",SH.XPD.CHEX.PP.CD,..,..,..,21.06814003,24.52791595,24.52162361,24.6919899,24.66906929,26.2877903,31.72366333,39.62515259,37.26122284,43.13404846,56.22169876,50.7133255,55.09231567,52.30632782,61.05818176,63.36304855,67.64360046,69.81202698,71.2833786,75.11408997,..,..
+Ethiopia,ETH,Domestic general government health expenditure (% of current health expenditure),SH.XPD.GHED.CH.ZS,..,..,..,41.22624969,42.6709938,44.16249084,46.45885086,30.72782516,42.14151382,25.1286335,26.65451813,12.01339912,19.50625038,17.2685585,8.52938938,23.49618912,26.98538589,17.72079086,25.25154305,24.99847794,24.93995667,23.30263901,22.70311928,..,..
+Ethiopia,ETH,Domestic general government health expenditure (% of GDP),SH.XPD.GHED.GD.ZS,..,..,..,1.79954505,2.01542234,2.08121467,2.27634859,1.32523537,1.72821558,1.1201272,1.33306789,0.51425028,0.90700835,0.94396371,0.38117662,1.06663215,1.0996722,0.71479219,0.96540976,0.90002781,0.86126679,0.77089483,0.73514652,..,..
+Ethiopia,ETH,Domestic general government health expenditure (% of general government expenditure),SH.XPD.GHED.GE.ZS,..,..,..,7.02978754,8.98226833,8.36865616,8.41779137,5.72478628,7.55014706,5.07603979,6.49598408,2.74178743,5.30020761,5.1071167,2.091151,6.40685654,6.19330263,4.08834219,5.57211685,5.02445269,4.7883606,4.7883606,4.7883606,..,..
+Ethiopia,ETH,Domestic general government health expenditure per capita (current US$),SH.XPD.GHED.PC.CD,..,..,..,2.21982536,2.39679758,2.32263118,2.71381866,1.8069961,2.80392906,2.17659026,3.19382814,1.61601861,3.05039505,2.88485937,1.2888907,4.85543904,5.36567992,3.94676136,6.03921965,6.26851668,6.21623727,5.66116337,6.07131503,..,..
+Ethiopia,ETH,"Domestic general government health expenditure per capita, PPP (current international $)",SH.XPD.GHED.PP.CD,..,..,..,8.68560354,10.46630487,10.82935928,11.47161381,7.580268,11.07807272,7.97172298,10.56189282,4.47633929,8.41383633,9.70867617,4.32553701,12.94459469,14.1150644,10.81999178,16.00014813,16.90986889,17.41108924,16.61090694,17.05324168,..,..
+Ethiopia,ETH,Domestic private health expenditure (% of current health expenditure),SH.XPD.PVTD.CH.ZS,..,..,..,42.51675034,40.25794983,43.13770676,39.3457222,39.62668991,35.61906815,42.51520157,39.9972496,41.2253952,46.90293503,48.2890625,53.94318771,48.55955124,49.74310303,58.84427261,56.48738098,54.76727295,39.70265961,40.59890366,43.19190979,..,..
+Ethiopia,ETH,Domestic private health expenditure per capita (current US$),SH.XPD.PVTD.PC.CD,..,..,..,2.28931226,2.26125872,2.26873481,2.29831663,2.33030737,2.36995148,3.68257868,4.79259624,5.54555815,7.33469943,8.06709831,8.15144782,10.03473096,9.89074466,13.10575411,13.50965767,13.73321919,9.89581332,9.86313314,11.55046904,..,..
+Ethiopia,ETH,"Domestic private health expenditure per capita, PPP (current international $)",SH.XPD.PVTD.PP.CD,..,..,..,8.95748784,9.87443551,10.57806533,9.71524045,9.77553543,9.36346614,13.48737869,15.84897044,15.36108539,20.23113711,27.14893004,27.3563843,26.75258079,26.01878977,35.929244,35.79212821,37.04655306,27.71723172,28.94026827,32.44320861,..,..
+Ethiopia,ETH,"Employers, female (% of female employment) (modeled ILO estimate)",SL.EMP.MPYR.FE.ZS,0.389999985694885,0.360000014305115,0.330000013113022,0.300000011920929,0.310000002384186,0.28999999165535,0.280000001192093,0.270000010728836,0.259999990463257,0.239999994635582,0.230000004172325,0.219999998807907,0.200000002980232,0.189999997615814,0.180000007152557,0.170000001788139,0.159999996423721,0.159999996423721,0.159999996423721,0.159999996423721,0.159999996423721,0.159999996423721,0.170000001788139,..,..
+Ethiopia,ETH,"Employers, male (% of male employment) (modeled ILO estimate)",SL.EMP.MPYR.MA.ZS,1.67999994754791,1.58000004291534,1.42999994754791,1.27999997138977,1.30999994277954,1.23000001907349,1.22000002861023,1.13999998569489,1.0900000333786,1.02999997138977,1.00999999046326,0.970000028610229,0.939999997615814,0.889999985694885,0.839999973773956,0.829999983310699,0.790000021457672,0.769999980926514,0.75,0.709999978542328,0.699999988079071,0.699999988079071,0.720000028610229,..,..
+Ethiopia,ETH,"Employers, total (% of total employment) (modeled ILO estimate)",SL.EMP.MPYR.ZS,1.12000000476837,1.03999996185303,0.949999988079071,0.850000023841858,0.870000004768372,0.810000002384186,0.800000011920929,0.75,0.709999978542328,0.670000016689301,0.660000026226044,0.629999995231628,0.600000023841858,0.569999992847443,0.540000021457672,0.529999971389771,0.5,0.490000009536743,0.479999989271164,0.449999988079071,0.449999988079071,0.449999988079071,0.46000000834465,..,..
+Ethiopia,ETH,Employment in agriculture (% of total employment) (modeled ILO estimate),SL.AGR.EMPL.ZS,76.2399978637695,76.4599990844727,76.3600006103516,76.6999969482422,76.9199981689453,77.4100036621094,78.0100021362305,77.9199981689453,78.120002746582,77.4300003051758,76.6500015258789,75.8300018310547,75.0400009155273,74.0400009155273,73.0400009155273,72.1100006103516,71.0299987792969,70.2099990844727,69.4000015258789,68.6399993896484,67.9000015258789,67.2900009155273,66.629997253418,..,..
+Ethiopia,ETH,"Employment in agriculture, female (% of female employment) (modeled ILO estimate)",SL.AGR.EMPL.FE.ZS,66.4599990844727,67.0400009155273,67.0800018310547,68.2300033569336,69.2799987792969,70.7600021362305,72.2300033569336,72.5699996948242,73.4100036621094,72.5800018310547,71.6699981689453,70.4499969482422,69.379997253418,68.2300033569336,66.870002746582,65.2300033569336,63.5800018310547,62.7599983215332,61.939998626709,61.0999984741211,60.2799987792969,59.75,58.7099990844727,..,..
+Ethiopia,ETH,"Employment in agriculture, male (% of male employment) (modeled ILO estimate)",SL.AGR.EMPL.MA.ZS,83.8399963378906,83.8300018310547,83.6500015258789,83.4400024414063,83.0699996948242,82.8199996948242,82.7600021362305,82.3600006103516,82.0699996948242,81.5,80.8399963378906,80.3600006103516,79.8000030517578,78.9199981689453,78.2300033569336,77.8899993896484,77.2900009155273,76.4899978637695,75.7300033569336,75.0599975585938,74.4100036621094,73.7799987792969,73.4400024414063,..,..
+Ethiopia,ETH,Employment in industry (% of total employment) (modeled ILO estimate),SL.IND.EMPL.ZS,6.53999996185303,6.51000022888184,6.51000022888184,6.59999990463257,6.71999979019165,6.84000015258789,6.98999977111816,7.19000005722046,7.3600001335144,7.42000007629395,7.51999998092651,7.63000011444092,7.76000022888184,7.92999982833862,8.09000015258789,8.25,8.40999984741211,8.59000015258789,8.77000045776367,8.96000003814697,9.11999988555908,9.22000026702881,9.31999969482422,..,..
+Ethiopia,ETH,"Employment in industry, female (% of female employment) (modeled ILO estimate)",SL.IND.EMPL.FE.ZS,8.55000019073486,8.47999954223633,8.4399995803833,8.5,8.53999996185303,8.61999988555908,8.77000045776367,8.93000030517578,9.06999969482422,8.98999977111816,8.90999984741211,8.93000030517578,8.92000007629395,8.85999965667725,8.85000038146973,8.92000007629395,8.93000030517578,8.92000007629395,8.93000030517578,9.02000045776367,9.06999969482422,9.03999996185303,9.10000038146973,..,..
+Ethiopia,ETH,"Employment in industry, male (% of male employment) (modeled ILO estimate)",SL.IND.EMPL.MA.ZS,4.96999979019165,4.96000003814697,5,5.09000015258789,5.25,5.40000009536743,5.53000020980835,5.75,5.94000005722046,6.1100001335144,6.34000015258789,6.53999996185303,6.78999996185303,7.15000009536743,7.44999980926514,7.67999982833862,7.96999979019165,8.3100004196167,8.64000034332275,8.90999984741211,9.15999984741211,9.38000011444092,9.51000022888184,..,..
+Ethiopia,ETH,Employment in services (% of total employment) (modeled ILO estimate),SL.SRV.EMPL.ZS,17.2199993133545,17.0400009155273,17.1299991607666,16.7000007629395,16.3700008392334,15.75,15,14.8900003433228,14.5200004577637,15.1499996185303,15.8400001525879,16.5300006866455,17.2000007629395,18.0400009155273,18.8700008392334,19.6499996185303,20.5599994659424,21.2099990844727,21.8299999237061,22.3999996185303,22.9899997711182,23.4799995422363,24.0499992370605,..,..
+Ethiopia,ETH,"Employment in services, female (% of female employment) (modeled ILO estimate)",SL.SRV.EMPL.FE.ZS,25,24.4899997711182,24.4899997711182,23.2700004577637,22.1800003051758,20.6299991607666,19,18.5100002288818,17.5300006866455,18.4300003051758,19.4200000762939,20.6200008392334,21.7099990844727,22.9099998474121,24.2800006866455,25.8500003814697,27.4899997711182,28.3299999237061,29.1399993896484,29.8799991607666,30.6499996185303,31.2099990844727,32.189998626709,..,..
+Ethiopia,ETH,"Employment in services, male (% of male employment) (modeled ILO estimate)",SL.SRV.EMPL.MA.ZS,11.1800003051758,11.210000038147,11.3599996566772,11.4700002670288,11.6800003051758,11.7799997329712,11.710000038147,11.8900003433228,12,12.3900003433228,12.8199996948242,13.0900001525879,13.4099998474121,13.9399995803833,14.3199996948242,14.4399995803833,14.7399997711182,15.1999998092651,15.6300001144409,16.0300006866455,16.4300003051758,16.8400001525879,17.0499992370605,..,..
+Ethiopia,ETH,"Employment to population ratio, 15+, female (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.FE.ZS,65.9169998168945,66.3730010986328,66.8679962158203,67.7630004882813,68.6579971313477,69.5149993896484,70.3769989013672,71.2870025634766,72.1389999389648,72.1320037841797,72.1289978027344,72.1220016479492,72.1110000610352,72.1129989624023,72.1009979248047,72.0879974365234,72.0859985351563,72.1719970703125,72.2630004882813,72.3349990844727,72.4150009155273,72.4909973144531,72.572998046875,68.1569976806641,68.9329986572266
+Ethiopia,ETH,"Employment to population ratio, 15+, female (%) (national estimate)",SL.EMP.TOTL.SP.FE.NE.ZS,..,..,51.7200012207031,..,..,..,..,..,72.3600006103516,..,..,..,..,..,..,..,72.1100006103516,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Employment to population ratio, 15+, male (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.MA.ZS,87.1019973754883,87.1360015869141,87.2180023193359,87.3499984741211,87.4889984130859,87.6029968261719,87.7279968261719,87.8970031738281,88.0270004272461,87.8960037231445,87.765998840332,87.6289978027344,87.4850006103516,87.3489990234375,87.1999969482422,87.0449981689453,86.8980026245117,86.5660018920898,86.2360000610352,85.9629974365234,85.681999206543,85.3960037231445,85.1289978027344,81.9710006713867,82.2969970703125
+Ethiopia,ETH,"Employment to population ratio, 15+, male (%) (national estimate)",SL.EMP.TOTL.SP.MA.NE.ZS,..,..,77.5599975585938,..,..,..,..,..,88.2799987792969,..,..,..,..,..,..,..,86.9300003051758,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Employment to population ratio, 15+, total (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.ZS,76.3629989624023,76.6119995117188,76.9039993286133,77.4229965209961,77.943000793457,78.4329986572266,78.9300003051758,79.4739990234375,79.9700012207031,79.9000015258789,79.8349990844727,79.7639999389648,79.6900024414063,79.6279983520508,79.5550003051758,79.4789962768555,79.4120025634766,79.2979965209961,79.1859970092773,79.0910034179688,78.9940032958984,78.8919982910156,78.802001953125,75.0120010375977,75.5650024414063
+Ethiopia,ETH,"Employment to population ratio, 15+, total (%) (national estimate)",SL.EMP.TOTL.SP.NE.ZS,..,..,64.1600036621094,..,..,..,..,..,79.9700012207031,..,..,..,..,..,..,..,79.4100036621094,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)",SL.EMP.1524.SP.FE.ZS,62.8720016479492,62.9560012817383,63.0929985046387,63.806999206543,64.5130004882813,65.1849975585938,65.8629989624023,66.5930023193359,67.2779998779297,67.322998046875,67.370002746582,67.4120025634766,67.4530029296875,67.5120010375977,67.5719985961914,67.6330032348633,67.7040023803711,67.2249984741211,66.7429962158203,66.3440017700195,65.9229965209961,65.4609985351563,65.0279998779297,58.935001373291,60.8300018310547
+Ethiopia,ETH,"Employment to population ratio, ages 15-24, female (%) (national estimate)",SL.EMP.1524.SP.FE.NE.ZS,..,..,49.2099990844727,..,..,..,..,..,67.6699981689453,..,..,..,..,..,..,..,67.6699981689453,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)",SL.EMP.1524.SP.MA.ZS,76.870002746582,77.0599975585938,77.2809982299805,77.5250015258789,77.7379989624023,77.927001953125,78.1179962158203,78.3399963378906,78.5319976806641,78.3779983520508,78.2259979248047,78.0749969482422,77.9300003051758,77.8050003051758,77.6829986572266,77.5619964599609,77.4440002441406,76.6849975585938,75.9000015258789,75.2379989624023,74.5279998779297,73.7590026855469,73.0189971923828,67.8889999389648,69.3479995727539
+Ethiopia,ETH,"Employment to population ratio, ages 15-24, male (%) (national estimate)",SL.EMP.1524.SP.MA.NE.ZS,..,..,70.6100006103516,..,..,..,..,..,78.6399993896484,..,..,..,..,..,..,..,77,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)",SL.EMP.1524.SP.ZS,69.9059982299805,70.0299987792969,70.197998046875,70.6699981689453,71.1220016479492,71.5510025024414,71.9869995117188,72.4660034179688,72.9079971313477,72.8560028076172,72.8079986572266,72.7600021362305,72.7170028686523,72.6940002441406,72.6689987182617,72.6439971923828,72.625,72.0070037841797,71.3730010986328,70.8399963378906,70.2720031738281,69.6510009765625,69.0619964599609,63.4529991149902,65.125
+Ethiopia,ETH,"Employment to population ratio, ages 15-24, total (%) (national estimate)",SL.EMP.1524.SP.NE.ZS,..,..,59.5099983215332,..,..,..,..,..,72.8000030517578,..,..,..,..,..,..,..,72.25,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Exports of goods and services (annual % growth),NE.EXP.GNFS.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,-10.361418652440065,0.27516483261472047,2.821865660394508,-11.218729844422157,-8.141084753749894,7.665659055844415,11.777931056956831,17.70412757350148,-0.5170462730204548,35.42544725871113
+Ethiopia,ETH,Exports of goods and services (constant 2015 US$),NE.EXP.GNFS.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,7370470108.591239,6606784843.987146,6624964392.444318,6811911987.648067,6047701984.514023,5555353440.300522,5981207894.3810835,6685670436.554547,7869310059.786037,7828622085.409491,10601946473.36004
+Ethiopia,ETH,External health expenditure (% of current health expenditure),SH.XPD.EHEX.CH.ZS,..,..,..,16.25700188,17.07106018,12.69980526,14.19543171,29.64548492,22.23941803,32.35616684,33.34823608,46.76120758,33.59081268,34.442379,37.52742004,27.94426155,23.27150917,23.43493462,18.26107597,20.23424911,35.35738754,36.09846115,34.10496902,..,..
+Ethiopia,ETH,External health expenditure per capita (current US$),SH.XPD.EHEX.PC.CD,..,..,..,0.87535746,0.95886863,0.66791894,0.8292032,1.74334739,1.47972266,2.80262417,3.99589039,6.29022492,5.25294417,5.75389268,5.67083296,5.77462377,4.62722579,5.21941179,4.36736272,5.07385817,8.812762,8.76979162,9.12042166,..,..
+Ethiopia,ETH,"External health expenditure per capita, PPP (current international $)",SH.XPD.EHEX.PP.CD,..,..,..,3.42504775,4.18717523,3.11419832,3.50513429,7.31326453,5.84625177,10.264561,13.21428837,17.42379747,14.48907822,19.36409151,19.03140264,15.39514009,12.17247227,14.30894537,11.57077479,13.68717366,24.68370801,25.73220077,25.61763869,..,..
+Ethiopia,ETH,Female share of employment in senior and middle management (%),SL.EMP.SMGT.FE.ZS,..,..,14.1000003814697,..,..,..,..,..,15.1000003814697,..,..,..,..,..,..,..,21.1000003814697,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Final consumption expenditure (annual % growth),NE.CON.TOTL.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2.958720543392303,10.140196267903761,7.942598156200418,9.109543414335562,5.066781515818434,8.600135578010367,9.62511438732507,28.455502201423712,21.528145633472008,27.52430546957909
+Ethiopia,ETH,Final consumption expenditure (constant 2015 US$),NE.CON.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,38813764753.4861,39962155584.91145,44014396594.106544,47510283246.45279,51838253125.0622,54464784152.526024,59148829431.91396,64841971923.49948,83293080671.63742,101224536381.23285,129085886984.9686
+Ethiopia,ETH,GDP (constant 2015 US$),NY.GDP.MKTP.KD,16113248919.186678,15556030352.598984,16359055323.367773,17352576330.760635,18793066846.479694,19077730261.007534,18665391883.263252,21198771447.52002,23704204628.467556,26272490503.098995,29282310890.19936,32441439350.566715,35297114307.540695,39727092173.71561,44167904219.33208,47987461378.62903,53065624131.02348,58508826790.97666,64589334978.80132,70682358692.84334,77442553522.34132,82721152428.05324,89640020508.40129,95071785237.71336,100431269846.86105
+Ethiopia,ETH,GDP growth (annual %),NY.GDP.MKTP.KD.ZG,3.133906850875931,-3.458139133717424,5.162145821055347,6.073217479579569,8.301306320523281,1.5147257063110118,-2.1613597220579805,13.572603136869475,11.818765946649407,10.834727065876976,11.456167000023612,10.788521685372515,8.80255319782566,12.550538345930761,11.178296227164125,8.647811633374161,10.582270048267219,10.257492961005127,10.392463020233407,9.433482657844024,9.564189642956066,6.8161477968170345,8.364085699078899,6.059530886433691,5.637303008192248
+Ethiopia,ETH,GDP per capita (constant 2015 US$),NY.GDP.PCAP.KD,265.4683314944038,248.86572981922976,254.2475994185378,262.02531336497526,275.7222155798166,271.98690915836033,258.6288155732493,285.5456887930887,310.48264976352567,334.7274380355744,362.9693134309053,391.25557207597694,414.120494108205,453.29882929108993,489.992672496167,517.5134609538896,556.3262878259395,596.4551280080624,640.5419230754219,682.2393577454264,727.8440543496367,757.3504167067896,799.7951342577373,826.9730531773124,852.0061530207207
+Ethiopia,ETH,GDP per capita growth (annual %),NY.GDP.PCAP.KD.ZG,0.05180286103099263,-6.254079943062436,2.1625595469562313,3.059110081756941,5.227320230607987,-1.3547353859757862,-4.911300189574007,10.407530638138013,8.7330896417444,7.808741741451385,8.437275283160204,7.793016543933362,5.84398630054217,9.460612488462857,8.094846232553095,5.6165714310631785,7.499868080824285,7.21318425180695,7.391468862811706,6.50971203723924,6.684559617744483,4.053940151165804,5.6043697362063085,3.3981100603716357,3.0270756401588557
+Ethiopia,ETH,"GDP per capita, PPP (constant 2017 international $)",NY.GDP.PCAP.PP.KD,737.3295542912306,691.2163745220311,706.1643402193819,727.7666847448054,765.8093798880956,755.4346892296297,718.3330239053872,793.0937534522038,862.3553418842599,929.6944434256121,1008.1353229096749,1086.6994754092616,1150.2060438802425,1259.0225805106315,1360.9385224360892,1437.376606681568,1545.1779560073142,1656.6344889924262,1779.084111416901,1894.897363970418,2021.5629079600892,2103.515858366958,2221.4046645295766,2296.8904399165212,2366.4190509043715
+Ethiopia,ETH,"GDP per capita, PPP (current international $)",NY.GDP.PCAP.PP.CD,465.9628041280369,441.737684140394,457.65025850085846,482.33574571297413,518.9838164388344,519.931906593849,504.1538956265763,571.5659226180595,640.9698467699249,712.3435690279232,793.3215141242481,871.5463025924995,928.3920241649951,1028.436486016332,1134.7845092344671,1213.5959716993423,1283.5704492513291,1513.7032362895404,1657.3447042636453,1878.8126819381412,2021.5629079600892,2153.769081359742,2315.158137813175,2422.6810259853423,2599.7361652958834
+Ethiopia,ETH,GDP per person employed (constant 2017 PPP $),SL.GDP.PCAP.EM.KD,1810.1894766048204,1690.4787189663832,1718.2875487647468,1755.764632016997,1838.2233717744277,1802.9537894287444,1703.4476118055518,1866.9925399800911,2015.2550912078354,2167.036053431312,2341.252453490209,2511.484667102353,2642.098639646874,2871.223121759647,3077.124257797665,3221.4249808287805,3431.742101738809,3648.231057832087,3885.3735425919936,4110.9755925857835,4356.033071824462,4502.630368501983,4724.7766013331775,5096.388408991933,5181.5880127921355
+Ethiopia,ETH,"GDP, PPP (constant 2017 international $)",NY.GDP.MKTP.PP.KD,44754018593.80737,43206362362.90375,45436737792.05041,48196209693.78795,52197124695.35102,52987767961.06672,51842511686.738686,58878890054.16492,65837648261.651695,72970977757.39377,81330654830.83087,90105030164.11053,98036573378.22322,110340691113.09369,122674900424.81546,133283594734.98283,147388024659.87677,162506340914.72815,179394752299.82568,196317925147.112,215094143811.2983,229755278555.77457,248972206952.337,264058754731.24948,278944546855.1092
+Ethiopia,ETH,"GDP, PPP (current international $)",NY.GDP.MKTP.PP.CD,28282750743.681686,27612017240.646923,29446594243.922802,31942592633.71428,35373636955.82505,36469110586.17735,36385079560.78337,42432772884.73081,48935682622.149185,55911280419.86431,64000691939.73894,72265338910.6871,79130494301.49333,90132134553.88487,102289393957.9102,112533091823.03741,122434385173.20428,148485604878.24057,167119104031.5757,194651496419.4836,215094143811.2983,235244157187.7598,259479976889.7912,278520091213.39105,306447087760.7909
+Ethiopia,ETH,General government final consumption expenditure (annual % growth),NE.CON.GOVT.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,-0.2586522629505481,12.334416318155732,18.024390222822447,3.7927639331875014,13.63914472273862,8.300018671355502,3.643085351648523,12.094415473186743,18.726666130631386,20.54150632450309
+Ethiopia,ETH,General government final consumption expenditure (constant 2015 US$),NE.CON.GOVT.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4241712924.442808,4230741637.9758706,4752578924.949375,5609202296.029871,5821946097.653217,6616009751.591973,7165139796.272808,7426171954.615962,8324324044.56049,9883192416.017204,11913349011.216188
+Ethiopia,ETH,Gini index,SI.POV.GINI,..,..,30,..,..,..,..,29.8,..,..,..,..,..,33.2,..,..,..,..,35,..,..,..,..,..,..
+Ethiopia,ETH,GNI (constant 2015 US$),NY.GNP.MKTP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,44071270994.77506,47880378096.944244,52945509653.8313,58346495201.18545,64326834729.99064,70444016858.4429,76978559878.31055,82323694783.36113,88965458391.91797,94318656049.51868,99611184176.28569
+Ethiopia,ETH,GNI growth (annual %),NY.GNP.MKTP.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,8.64306160496433,10.578720883597853,10.20102664544531,10.249697960750325,9.509533858037457,9.276221475272763,6.943667059373794,8.067863846532816,6.0171641380392344,5.611326908632336
+Ethiopia,ETH,GNI per capita (constant 2015 US$),NY.GNP.PCAP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,488.920636754614,516.3586376287351,555.067038692348,594.8002749802521,637.9386695470157,679.9388377425239,723.4832087976315,753.7115081085,793.7764888417939,820.4220292048368,845.0489768503929
+Ethiopia,ETH,GNI per capita growth (annual %),NY.GNP.PCAP.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.611953926970784,7.496417846590674,7.158277022088981,7.252584839204374,6.583731352314999,6.404159997637436,4.178161834758427,5.315691786880123,3.356806448364509,3.0017413927104144
+Ethiopia,ETH,"GNI per capita, Atlas method (current US$)",NY.GNP.PCAP.CD,140,130,120,130,130,120,110,140,160,180,220,280,340,380,390,410,470,550,600,670,740,800,850,890,960
+Ethiopia,ETH,"GNI per capita, PPP (constant 2017 international $)",NY.GNP.PCAP.PP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1358.033249149547,1434.2454494047636,1541.7624812378572,1652.1261106674956,1771.947958494303,1888.6082517843981,2009.5577459572542,2093.5203207462723,2204.805408492848,2278.8164586190255,2347.22063552129
+Ethiopia,ETH,"GNI per capita, PPP (current international $)",NY.GNP.PCAP.PP.CD,460,440,450,480,520,520,500,570,640,710,790,870,930,1020,1130,1210,1280,1510,1650,1870,2010,2140,2300,2410,2590
+Ethiopia,ETH,"GNI, Atlas method (current US$)",NY.GNP.ATLS.CD,8749819777.234625,7969964500.661967,8003894080.081504,8282808160.47557,8565169694.416424,8244554537.351186,8231634992.17292,10032643822.789886,12291510934.123798,14407106797.331577,17783871681.349792,23011340074.88801,28930389370.878624,33247716569.741077,35237153539.82399,38143234738.89083,44574863493.55522,53613560417.01184,60070079523.16255,68942747989.16751,78378593589.74936,86862198769.10829,94972317026.58804,102643542580.06453,113593421405.22774
+Ethiopia,ETH,"GNI, PPP (constant 2017 international $)",NY.GNP.MKTP.PP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,122413019299.94621,132993251970.53743,147062236890.52063,162064094861.11053,178675175087.19824,195666351358.02307,213816795462.57864,228663521856.52237,247111783466.59338,261980905082.21442,276681510104.5712
+Ethiopia,ETH,"GNI, PPP (current international $)",NY.GNP.MKTP.PP.CD,27971297397.39186,27383170537.881577,29250766632.065807,31709569421.4444,35153364909.15778,36220115501.784386,36106147528.83725,42166685855.70563,48794472563.37203,55770778598.665764,64046772909.526955,72318569548.45204,79028887577.01329,89806292572.82532,102066933556.26118,112283157655.96619,122160005499.9225,148077638928.90082,166439908210.72223,194015690748.87738,213816795462.57864,234190855940.93903,257884909729.08194,276935254983.7209,304912793676.70026
+Ethiopia,ETH,Gross capital formation (annual % growth),NE.GDI.TOTL.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,46.51122796154269,9.440736524937734,24.390427144205873,26.26626586045866,10.578568788663574,11.885511341808012,4.15125830972643,25.25476693107902,7.424957139134676,11.987766142391493
+Ethiopia,ETH,Gross capital formation (constant 2015 US$),NE.GDI.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10430962091.9206,15282530649.075895,16725314101.998007,20804689652.68542,26269304748.30311,29048221221.406017,32500750849.269714,33849940969.623505,42398664667.80975,45546747346.96006,51006784904.37954
+Ethiopia,ETH,Gross fixed capital formation (annual % growth),NE.GDI.FTOT.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,46.51122796154269,9.440736524937734,24.390427144205873,26.26626586045866,10.578568788663574,11.885511341808012,4.15125830972643,25.25476693107902,7.424957139134676,11.987766142391493
+Ethiopia,ETH,Gross fixed capital formation (constant 2015 US$),NE.GDI.FTOT.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10430962091.9206,15282530649.075895,16725314101.998007,20804689652.68542,26269304748.30311,29048221221.406017,32500750849.269714,33849940969.623505,42398664667.80975,45546747346.96006,51006784904.37954
+Ethiopia,ETH,Gross national expenditure (constant 2015 US$),NE.DAB.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,49244726845.4067,55244686233.98735,60739710696.10455,68314972899.138214,78107557873.36531,83513005373.93204,91649580281.18369,98691912893.12299,125691745339.44717,146771283728.1929,180092671889.34814
+Ethiopia,ETH,Gross value added at basic prices (GVA) (constant 2015 US$),NY.GDP.FCST.KD,15039369702.32658,14497322963.93343,15240370144.530312,16136908711.95118,17333921479.71359,17617145784.1995,17247394124.393425,19270444837.415142,21707024840.111385,24211903344.183277,27067712122.466408,30095811028.847534,33117847987.02869,36617446378.646935,40786701986.33624,44334944140.38611,48742983336.43799,53759903783.358246,59357907701.18832,65288682891.181496,71954455622.3867,77496893912.96567,84500328332.87042,89621769059.28654,95233320681.92331
+Ethiopia,ETH,"Hospital beds (per 1,000 people)",SH.MED.BEDS.ZS,..,..,..,..,..,..,..,0.2,..,0.2,..,0.2,..,..,6.3,..,..,..,0.3,0.33,..,..,..,..,..
+Ethiopia,ETH,Households and NPISHs Final consumption expenditure (annual % growth),NE.CON.PRVT.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3.4170406634927275,9.838735471281893,6.526003156247114,9.937243023576968,3.8167125026402857,8.65041080723232,10.623985085619125,31.015054083844632,21.903120370125293,28.434590854801456
+Ethiopia,ETH,Households and NPISHs Final consumption expenditure (constant 2015 US$),NE.CON.PRVT.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,34591043010.11912,35773033015.70115,39292647104.17032,41856886494.36151,46016307027.40898,47772617170.97744,51905144809.6334,57419539652.87786,75228240930.91254,91705573094.33818,117781677594.76414
+Ethiopia,ETH,Households and NPISHs Final consumption expenditure per capita (constant 2015 US$),NE.CON.PRVT.PC.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,383.74828755264946,385.78882051505946,411.9339564978017,426.7006528981298,456.35047652742713,461.1102439036997,487.8306476419298,525.7024474005203,671.2089166654483,797.69237094752,..
+Ethiopia,ETH,Households and NPISHs Final consumption expenditure per capita growth (annual %),NE.CON.PRVT.PC.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,0.5317373467445208,6.777059000267656,3.5847242421751986,6.9486239188801875,1.0430069915762488,5.794797251090884,7.76330883302532,27.678484280304303,18.844126045052974,..
+Ethiopia,ETH,"Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $)",NE.CON.PRVT.PP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,95642630023.21858,98910777582.74586,108642347341.70023,115732350358.24054,127232955270.23647,132089071381.51431,143515318687.47363,158762364740.40958,208002598029.4383,253561657448.81403,325660877309.03754
+Ethiopia,ETH,"Households and NPISHs Final consumption expenditure, PPP (current international $)",NE.CON.PRVT.PP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,66924740420.57277,80456964728.29709,87876241927.5143,101078238465.4786,117359837283.1232,129912649897.23662,143515318687.47363,153021216512.17493,172087760248.90735,185137674982.7548,202678215256.56982
+Ethiopia,ETH,Imports of goods and services (annual % growth),NE.IMP.GNFS.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,22.206410696193927,4.213199996281077,20.184962077646063,21.851529746905513,0.04797860583730085,-7.468505497351387,2.2040382912837515,18.46389681097365,15.603050339339617,24.52685930151837
+Ethiopia,ETH,Imports of goods and services (constant 2015 US$),NE.IMP.GNFS.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10490653550.85967,12820251163.07842,13360393984.604464,16057184443.82098,19565924879.078007,19575312337.05416,18113329059.037567,18512553767.32498,21930692591.99988,25352549596.895447,31570733765.873653
+Ethiopia,ETH,Income share held by fourth 20%,SI.DST.04TH.20,..,..,21.5,..,..,..,..,21.4,..,..,..,..,..,21.3,..,..,..,..,21.2,..,..,..,..,..,..
+Ethiopia,ETH,Income share held by highest 10%,SI.DST.10TH.10,..,..,25.5,..,..,..,..,25.6,..,..,..,..,..,27.4,..,..,..,..,28.5,..,..,..,..,..,..
+Ethiopia,ETH,Income share held by highest 20%,SI.DST.05TH.20,..,..,39.4,..,..,..,..,39.3,..,..,..,..,..,41.7,..,..,..,..,43,..,..,..,..,..,..
+Ethiopia,ETH,Income share held by lowest 10%,SI.DST.FRST.10,..,..,3.9,..,..,..,..,4.1,..,..,..,..,..,3.2,..,..,..,..,2.9,..,..,..,..,..,..
+Ethiopia,ETH,Income share held by lowest 20%,SI.DST.FRST.20,..,..,9.1,..,..,..,..,9.4,..,..,..,..,..,8,..,..,..,..,7.3,..,..,..,..,..,..
+Ethiopia,ETH,Income share held by second 20%,SI.DST.02ND.20,..,..,13.2,..,..,..,..,13,..,..,..,..,..,12.6,..,..,..,..,12.1,..,..,..,..,..,..
+Ethiopia,ETH,Income share held by third 20%,SI.DST.03RD.20,..,..,16.8,..,..,..,..,16.9,..,..,..,..,..,16.3,..,..,..,..,16.3,..,..,..,..,..,..
+Ethiopia,ETH,"Industry (including construction), value added (annual % growth)",NV.IND.TOTL.KD.ZG,3.6781129622211637,5.206390559210732,5.483743629980054,5.348708188287816,5.114180726890382,8.32587444991151,6.4755841490384825,11.645205480026007,9.431168853401985,10.164074420576611,9.523255063755613,10.130327712034727,9.673308143290882,10.817155819968875,15.010864337632185,19.637824870436177,24.10271588845947,17.0423338419605,19.846193061335484,23.944050299332375,20.572140798664492,12.739949536851228,12.555716874447882,9.635114898844833,7.25807062492045
+Ethiopia,ETH,"Industry (including construction), value added (constant 2015 US$)",NV.IND.TOTL.KD,1571415426.3710523,1653229450.7756157,1743888315.4714777,1837163812.595695,1931119690.2208686,2091902291.106178,2227365184.2824225,2486746436.7826705,2721275692.1916013,2997868178.735017,3283362811.8711176,3615978224.6887403,3965762940.757181,4394745697.509465,5054435012.146539,6047016108.021885,7504511220.267779,8783455075.633198,10526636527.399033,13047139672.347351,15731215615.941061,17735364546.94521,19962166706.110855,21885544404.543583,23474012674.073685
+Ethiopia,ETH,"Industry (including construction), value added per worker (constant 2015 US$)",NV.IND.EMPL.KD,970.2498399489167,991.8193030376672,1012.0393288354825,1012.9070725323813,1010.6385237130495,1039.074980774429,1045.1710720161489,1095.0958808009073,1130.054106826357,1198.0441936139416,1255.3895969182531,1320.5085317021335,1380.4097355238523,1447.505281487546,1574.582402893503,1781.4102467404475,2091.1636210031156,2315.0382762278873,2627.0420166765516,3085.960371577369,3539.1308471244993,3821.6571156676796,4123.8810648046165,..,..
+Ethiopia,ETH,International migrant stock (% of population),SM.POP.TOTL.ZS,..,..,..,0.920154796542265,..,..,..,..,0.671260321204072,..,..,..,..,0.648364822592643,..,..,..,..,1.07952601222951,..,..,..,..,..,..
+Ethiopia,ETH,"International migrant stock, total",SM.POP.TOTL,..,..,..,611384,..,..,..,..,514242,..,..,..,..,567720,..,..,..,..,1072949,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.FE.ZS,67.1920013427734,67.6350021362305,68.0759963989258,68.5120010375977,68.9400024414063,69.359001159668,69.7710037231445,70.1780014038086,70.5830001831055,70.6100006103516,70.6350021362305,70.6589965820313,70.6849975585938,70.713996887207,70.7519989013672,70.7939987182617,70.8359985351563,70.3649978637695,69.8919982910156,69.5080032348633,69.1009979248047,68.6600036621094,68.2409973144531,62.7529983520508,65.5179977416992
+Ethiopia,ETH,"Labor force participation rate for ages 15-24, female (%) (national estimate)",SL.TLF.ACTI.1524.FE.NE.ZS,..,..,53.1699981689453,..,..,..,..,..,70.9300003051758,..,..,..,..,..,..,..,70.8499984741211,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.MA.ZS,80.0989990234375,80.2009963989258,80.2990036010742,80.3899993896484,80.4509963989258,80.5070037841797,80.556999206543,80.6060028076172,80.6559982299805,80.4929962158203,80.3320007324219,80.1729965209961,80.0220031738281,79.879997253418,79.7490005493164,79.620002746582,79.4869995117188,78.7399978637695,77.9680023193359,77.3239974975586,76.6309967041016,75.8820037841797,75.1579971313477,70.6679992675781,72.572998046875
+Ethiopia,ETH,"Labor force participation rate for ages 15-24, male (%) (national estimate)",SL.TLF.ACTI.1524.MA.NE.ZS,..,..,73.4199981689453,..,..,..,..,..,80.7600021362305,..,..,..,..,..,..,..,79.0999984741211,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.ZS,73.677001953125,73.9369964599609,74.1969985961914,74.4550018310547,74.693000793457,74.9280014038086,75.161003112793,75.390998840332,75.6210021972656,75.5559997558594,75.4919967651367,75.4309997558594,75.3759994506836,75.3290023803711,75.2880020141602,75.2490005493164,75.2070007324219,74.5989990234375,73.9749984741211,73.4589996337891,72.9059982299805,72.306999206543,71.7320022583008,66.7470016479492,69.0749969482422
+Ethiopia,ETH,"Labor force participation rate for ages 15-24, total (%) (national estimate)",SL.TLF.ACTI.1524.NE.ZS,..,..,62.9199981689453,..,..,..,..,..,75.5299987792969,..,..,..,..,..,..,..,74.9000015258789,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.FE.ZS,68.8860015869141,69.6370010375977,70.3769989013672,71.1050033569336,71.8259963989258,72.5339965820313,73.2300033569336,73.9140014648438,74.5879974365234,74.5490036010742,74.5110015869141,74.4720001220703,74.4329986572266,74.3929977416992,74.3529968261719,74.3119964599609,74.2730026245117,74.3690032958984,74.4680023193359,74.5510025024414,74.6389999389648,74.7289962768555,74.8170013427734,71.0289993286133,72.3349990844727
+Ethiopia,ETH,"Labor force participation rate, female (% of female population ages 15+) (national estimate)",SL.TLF.CACT.FE.NE.ZS,..,..,54.4799995422363,..,..,..,..,..,74.7900009155273,..,..,..,..,..,..,..,74.3000030517578,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.FE.ZS,70.47,71.31,72.13,72.92,73.72,74.49,75.25,75.98,76.68,76.62,76.55,76.46,76.37,76.28,76.21,76.15,76.1,76.05,76.01,75.99,75.98,76,76.02,..,..
+Ethiopia,ETH,"Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.MA.ZS,89.6159973144531,89.6179962158203,89.620002746582,89.6240005493164,89.6320037841797,89.6389999389648,89.6470031738281,89.6559982299805,89.6669998168945,89.5139999389648,89.359001159668,89.2009963989258,89.0390014648438,88.8730010986328,88.7040023803711,88.5319976806641,88.3580017089844,88.0329971313477,87.7089996337891,87.4449996948242,87.1709976196289,86.8960037231445,86.6320037841797,84.1119995117188,84.6829986572266
+Ethiopia,ETH,"Labor force participation rate, male (% of male population ages 15+) (national estimate)",SL.TLF.CACT.MA.NE.ZS,..,..,79.7300033569336,..,..,..,..,..,89.9100036621094,..,..,..,..,..,..,..,88.3899993896484,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.MA.ZS,90.56,90.54,90.54,90.55,90.62,90.7,90.79,90.86,90.92,90.77,90.6,90.41,90.2,89.98,89.78,89.59,89.4,88.84,88.3,87.87,87.45,87.06,86.69,..,..
+Ethiopia,ETH,"Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.ZS,79.1080017089844,79.4899978637695,79.8669967651367,80.2389984130859,80.6050033569336,80.9670028686523,81.322998046875,81.6740036010742,82.0199966430664,81.9240036010742,81.8270034790039,81.7310028076172,81.6330032348633,81.536003112793,81.4369964599609,81.338996887207,81.2399978637695,81.1340026855469,81.0279998779297,80.9420013427734,80.8529968261719,80.7639999389648,80.6790008544922,77.5220031738281,78.463996887207
+Ethiopia,ETH,"Labor force participation rate, total (% of total population ages 15+) (national estimate)",SL.TLF.CACT.NE.ZS,..,..,66.629997253418,..,..,..,..,..,82.0199966430664,..,..,..,..,..,..,..,81.2399978637695,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.ZS,80.37,80.79,81.21,81.62,82.06,82.49,82.92,83.33,83.71,83.6,83.48,83.35,83.2,83.06,82.93,82.81,82.7,82.41,82.12,81.91,81.69,81.51,81.34,..,..
+Ethiopia,ETH,Labor force with advanced education (% of total working-age population with advanced education),SL.TLF.ADVN.ZS,..,..,90.2600021362305,..,..,..,..,..,94.2300033569336,..,..,..,..,..,..,..,93.5899963378906,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force with advanced education, female (% of female working-age population with advanced education)",SL.TLF.ADVN.FE.ZS,..,..,88.0800018310547,..,..,..,..,..,92.4400024414063,..,..,..,..,..,..,..,87.8300018310547,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force with advanced education, male (% of male working-age population with advanced education)",SL.TLF.ADVN.MA.ZS,..,..,91.0400009155273,..,..,..,..,..,94.9800033569336,..,..,..,..,..,..,..,95.8300018310547,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Labor force with basic education (% of total working-age population with basic education),SL.TLF.BASC.ZS,..,..,65.6500015258789,..,..,..,..,..,78.3600006103516,..,..,..,..,..,..,..,79.1399993896484,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force with basic education, female (% of female working-age population with basic education)",SL.TLF.BASC.FE.ZS,..,..,48.2299995422363,..,..,..,..,..,64.6500015258789,..,..,..,..,..,..,..,69.4700012207031,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force with basic education, male (% of male working-age population with basic education)",SL.TLF.BASC.MA.ZS,..,..,74.1399993896484,..,..,..,..,..,85.5999984741211,..,..,..,..,..,..,..,85.7600021362305,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Labor force with intermediate education (% of total working-age population with intermediate education),SL.TLF.INTM.ZS,..,..,76.9100036621094,..,..,..,..,..,70.9199981689453,..,..,..,..,..,..,..,81.2099990844727,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force with intermediate education, female (% of female working-age population with intermediate education)",SL.TLF.INTM.FE.ZS,..,..,70.6100006103516,..,..,..,..,..,65.8899993896484,..,..,..,..,..,..,..,74.4300003051758,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force with intermediate education, male (% of male working-age population with intermediate education)",SL.TLF.INTM.MA.ZS,..,..,80.9700012207031,..,..,..,..,..,74.379997253418,..,..,..,..,..,..,..,86.129997253418,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Labor force, female (% of total labor force)",SL.TLF.TOTL.FE.ZS,44.14086458693474,44.403954494302134,44.66096707409983,44.91153350213555,45.17213121620704,45.419167867186886,45.65701833185315,45.889247559994274,46.11826380594422,46.15279655982694,46.18761509136462,46.21448558521355,46.2313100217607,46.236343188068965,46.22906065926004,46.215507801701676,46.20269816673348,46.28168572962551,46.369050557073244,46.44887701192592,46.538428617405856,46.6329319004117,46.725855847548225,46.15633643398183,46.435707502061575
+Ethiopia,ETH,"Labor force, total",SL.TLF.TOTL.IN,25612115,26518789,27461846,28448679,29365214,30338931,31356568,32409760,33507107,34526170,35604865,36761939,38010277,39350692,40809845,42342365,43937092,45575209,47245852,48872202,50540486,52237702,53950175,53546648,55899088
+Ethiopia,ETH,"Manufacturing, value added (annual % growth)",NV.IND.MANF.KD.ZG,2.965248808276357,0.38386584890086795,8.705863900975402,6.657001608683373,3.8075787313469647,1.8092352199227832,1.2060749139205456,7.265356671999257,13.03492427364128,10.300529875204319,9.930254524223955,9.261843273961404,8.624984431956932,9.207691208346787,9.238393083554698,11.804471823223068,16.933577047063153,16.637034301260172,18.222644064024422,22.900629309103238,24.655226850297367,6.82134092215702,7.697168421487262,7.5123822267993745,5.099748898122641
+Ethiopia,ETH,"Manufacturing, value added (constant 2015 US$)",NV.IND.MANF.KD,608990911.5823466,611328619.7148212,664550057.3349049,708789165.3421957,735776870.8518568,749088805.1393543,758123377.3011273,813203744.6758609,919204236.9847746,1013887144.0295352,1114568718.0200531,1217798325.8636713,1322833241.8820453,1444635641.9959073,1578096761.2286232,1764382748.7510517,2063155860.9159017,2406403809.18494,2844914210.075837,3496417467.487307,4358467125.729725,4655773027.355887,5014135718.593646,5390816759.144875,5665734877.419176
+Ethiopia,ETH,Multidimensional poverty headcount ratio (% of total population),SI.POV.MDIM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Multidimensional poverty headcount ratio, children (% of population ages 0-17)",SI.POV.MDIM.17,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Multidimensional poverty headcount ratio, female (% of female population)",SI.POV.MDIM.FE,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Multidimensional poverty headcount ratio, household (% of total households)",SI.POV.MDIM.HH,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Multidimensional poverty headcount ratio, male (% of male population)",SI.POV.MDIM.MA,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Multidimensional poverty index (scale 0-1),SI.POV.MDIM.XQ,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Multidimensional poverty index, children (population ages 0-17) (scale 0-1)",SI.POV.MDIM.17.XQ,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Multidimensional poverty intensity (average share of deprivations experienced by the poor),SI.POV.MDIM.IT,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Australia (current US$)",DC.DAC.AUSL.CD,4739999.771118159,3799999.95231628,750000,1919999.95708466,1559999.9427795399,1539999.96185303,3119999.8855590797,1879999.99523163,1870000.00476837,1340000.0333786,1850000.02384186,10130000.1144409,4159999.8474121103,2329999.92370605,18819999.6948242,27920000.0762939,13630000.1144409,9939999.5803833,3880000.1144409203,5250000,3650000.09536743,1600000.02384186,1149999.97615814,1879999.99523163,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Austria (current US$)",DC.DAC.AUTL.CD,2450000.04768372,3210000.03814697,4860000.1335144,3759999.99046326,6960000.03814697,4300000.19073486,7570000.17166138,4300000.19073486,7639999.8664856,17590000.1525879,7179999.82833862,9750000,12659999.8474121,9710000.03814697,11869999.8855591,8399999.61853027,10630000.1144409,9670000.07629395,8069999.694824221,8579999.92370605,11369999.8855591,13489999.7711182,11550000.1907349,11859999.6566772,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Belgium (current US$)",DC.DAC.BELL.CD,6650000.09536743,7900000.09536743,2859999.89509583,8899999.61853027,13359999.6566772,1570000.05245209,7980000.01907349,9439999.5803833,5340000.15258789,6599999.90463257,13130000.1144409,8770000.45776367,6300000.19073486,4179999.8283386203,8399999.61853027,3259999.99046326,2519999.98092651,3359999.89509583,1779999.97138977,2009999.9904632599,3730000.01907349,3849999.90463257,5360000.1335144,3720000.02861023,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Canada (current US$)",DC.DAC.CANL.CD,13380000.1144409,10850000.3814697,14810000.4196167,10939999.5803833,12380000.1144409,6880000.11444092,38020000.4577637,59479999.5422363,64930000.305175796,62479999.5422363,90519996.6430664,152550003.05175802,87180000.3051758,140380004.882813,118639999.38964799,123370002.746582,131839996.337891,108120002.746582,103239997.86377,90669998.1689453,89319999.6948242,90559997.55859381,79459999.0844727,72970001.2207031,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Czech Republic (current US$)",DC.DAC.CZEL.CD,..,..,..,..,..,..,..,..,769999.980926514,610000.014305115,500000,1210000.03814697,1029999.97138977,1220000.02861023,2930000.0667572,3099999.90463257,3589999.91416931,3619999.8855590797,3230000.01907349,3230000.01907349,3799999.95231628,5039999.96185303,5309999.94277954,5289999.96185303,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Denmark (current US$)",DC.DAC.DNKL.CD,3519999.98092651,3109999.89509583,4090000.1525878897,2559999.94277954,2750000,2680000.0667572,2970000.02861023,2619999.8855590797,4059999.94277954,5739999.771118159,6429999.82833862,7519999.98092651,15369999.8855591,7760000.228881841,21889999.3896484,8300000.19073486,12119999.8855591,16639999.389648398,6070000.17166138,17379999.1607666,31120000.8392334,25389999.3896484,97459999.0844727,53930000.3051758,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, European Union institutions (current US$)",DC.DAC.CECL.CD,40700000.762939505,115010002.13623,82800003.0517578,68989997.8637695,100000000,116550003.05175799,149139999.38964802,112650001.52587901,163470001.220703,194369995.117188,364760009.765625,447140014.64843804,202470001.220703,237559997.55859402,198779998.779297,226360000.61035198,120809997.558594,267850006.103516,155309997.55859402,333170013.42773396,212869995.117188,271000000,200910003.66210902,206949996.94824198,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Finland (current US$)",DC.DAC.FINL.CD,6630000.11444092,7000000,5940000.05722046,5659999.84741211,5050000.19073486,4579999.92370605,9159999.84741211,9060000.4196167,11079999.923706101,13210000.038146999,9979999.54223633,15989999.7711182,23489999.7711182,25639999.3896484,23649999.6185303,31129999.1607666,20639999.3896484,40889999.3896484,24750000,21709999.084472697,21170000.0762939,18860000.6103516,22920000.0762939,25840000.1525879,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, France (current US$)",DC.DAC.FRAL.CD,7570000.17166138,10520000.4577637,10529999.7329712,9409999.84741211,6610000.1335144,10180000.3051758,15560000.4196167,26250000,15189999.5803833,17350000.3814697,20049999.237060502,18739999.7711182,38270000.4577637,13300000.1907349,13189999.5803833,20680000.3051758,46599998.4741211,52409999.8474121,14010000.2288818,19530000.6866455,53060001.373291,16909999.8474121,56770000.4577637,73639999.3896484,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Germany (current US$)",DC.DAC.DEUL.CD,58299999.237060495,63490001.6784668,37459999.0844727,38630001.0681152,25879999.1607666,40610000.6103516,47610000.6103516,126089996.337891,49849998.4741211,56759998.3215332,96480003.3569336,98250000,79819999.6948242,96449996.9482422,101209999.084473,116839996.337891,85889999.3896484,58340000.1525879,49119998.9318848,132330001.831055,137339996.33789098,175110000.61035198,141630004.882813,447440002.441406,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Greece (current US$)",DC.DAC.GRCL.CD,109999.999403954,239999.994635582,159999.99642372102,1190000.0572204601,550000.011920929,230000.004172325,419999.986886978,1590000.0333786,1490000.0095367401,1169999.95708466,2430000.0667572,3109999.89509583,2230000.01907349,1389999.98569489,1100000.02384186,850000.023841858,90000.0035762787,90000.0035762787,70000.0002980232,9999.99977648258,50000.0007450581,70000.0002980232,79999.9982118607,..,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Hungary (current US$)",DC.DAC.HUNL.CD,..,..,..,..,..,..,..,..,..,..,19999.9995529652,..,119999.997317791,129999.995231628,170000.00178813902,129999.995231628,129999.995231628,29999.999329447703,59999.9986588955,90000.0035762787,70000.0002980232,490000.009536743,3089999.91416931,860000.014305115,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Iceland (current US$)",DC.DAC.ISLL.CD,..,..,..,..,..,..,..,..,..,..,..,..,280000.001192093,280000.001192093,189999.99761581398,180000.00715255702,189999.99761581398,419999.986886978,419999.986886978,360000.01430511504,479999.989271164,819999.992847443,360000.01430511504,230000.004172325,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Ireland (current US$)",DC.DAC.IRLL.CD,15890000.3433228,16709999.0844727,16760000.2288818,21629999.1607666,21090000.1525879,25299999.237060502,33380001.068115197,42439998.626709,44099998.4741211,50630001.0681152,58939998.626709,72669998.1689453,52470001.220703095,49229999.5422363,49520000.4577637,42659999.8474121,45770000.4577637,48270000.4577637,38779998.779296905,39229999.5422363,40619998.9318848,44020000.4577637,44479999.5422363,45220001.220703095,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Italy (current US$)",DC.DAC.ITAL.CD,31670000.0762939,46220001.220703095,18700000.762939498,25969999.3133545,13560000.4196167,49240001.6784668,47569999.6948242,11210000.038146999,86930000.3051758,105389999.38964799,75470001.2207031,65860000.61035161,53970001.220703095,18309999.4659424,24760000.2288818,-3019999.98092651,-18170000.0762939,10630000.1144409,18659999.8474121,19059999.4659424,21000000,40090000.1525879,19530000.6866455,22790000.915527303,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Japan (current US$)",DC.DAC.JPNL.CD,37330001.8310547,26079999.9237061,40380001.0681152,34029998.779296905,52389999.3896484,50529998.779296905,56529998.779296905,33330001.831054702,34169998.1689453,57849998.4741211,36029998.779296905,47119998.9318848,97760002.1362305,93889999.3896484,120569999.69482401,108669998.168945,150119995.117188,82769996.6430664,54200000.762939505,62610000.6103516,38900001.5258789,69410003.6621094,64449996.9482422,75230003.3569336,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)",DC.DAC.KORL.CD,460000.00834465,540000.021457672,639999.985694885,490000.009536743,500000,839999.973773956,1049999.95231628,2069999.9332428002,2369999.8855590797,2289999.96185303,3299999.95231628,4389999.8664856,4159999.8474121103,10199999.8092651,11609999.6566772,20440000.5340576,27340000.1525879,42909999.8474121,46020000.4577637,61590000.1525879,46950000.762939505,84540000.9155273,74470001.2207031,108620002.746582,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Luxembourg (current US$)",DC.DAC.LUXL.CD,560000.002384186,250000,460000.00834465,200000.00298023198,529999.971389771,670000.016689301,479999.989271164,439999.997615814,150000.005960464,1730000.01907349,980000.019073486,1429999.94754791,1629999.99523163,740000.009536743,1399999.97615814,769999.980926514,779999.971389771,879999.995231628,589999.973773956,1320000.05245209,720000.028610229,1070000.05245209,1639999.98569489,2049999.9523162802,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Netherlands (current US$)",DC.DAC.NLDL.CD,35439998.626709,36840000.1525879,31219999.3133545,25719999.3133545,44180000.3051758,34790000.9155273,57229999.5422363,57520000.4577637,58659999.8474121,49759998.3215332,50759998.3215332,113629997.253418,85900001.5258789,54250000,67900001.5258789,79339996.3378906,76650001.5258789,89949996.9482422,80480003.3569336,73849998.4741211,82370002.746582,78800003.0517578,97559997.55859381,108550003.05175799,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, New Zealand (current US$)",DC.DAC.NZLL.CD,180000.00715255702,59999.9986588955,209999.993443489,270000.010728836,180000.00715255702,790000.021457672,1279999.97138977,800000.011920929,1210000.03814697,159999.99642372102,59999.9986588955,340000.00357627904,400000.00596046395,..,189999.99761581398,19999.9995529652,39999.9991059303,209999.993443489,239999.994635582,479999.989271164,740000.009536743,1429999.94754791,4449999.80926514,2740000.00953674,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Norway (current US$)",DC.DAC.NORL.CD,28420000.0762939,26719999.3133545,23930000.3051758,23569999.6948242,16250000,28479999.5422363,37180000.3051758,34040000.9155273,38069999.6948242,41799999.237060495,34139999.3896484,37279998.779296905,37810001.373291,32560001.373291,29090000.1525879,39150001.5258789,61069999.6948242,59470001.220703095,48340000.1525879,52590000.1525879,60049999.237060495,63970001.220703095,79330001.8310547,78169998.1689453,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Poland (current US$)",DC.DAC.POLL.CD,..,..,..,..,..,..,..,..,9999.99977648258,50000.0007450581,159999.99642372102,449999.988079071,270000.010728836,100000.00149011599,159999.99642372102,389999.98569488496,270000.010728836,23479999.5422363,27290000.915527303,42290000.9155273,8619999.88555908,219999.998807907,400000.00596046395,810000.002384186,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Portugal (current US$)",DC.DAC.PRTL.CD,..,..,..,..,..,2150000.09536743,819999.992847443,9999.99977648258,79999.9982118607,129999.995231628,129999.995231628,209999.993443489,19999.9995529652,..,19999.9995529652,39999.9991059303,39999.9991059303,50000.0007450581,39999.9991059303,39999.9991059303,39999.9991059303,39999.9991059303,50000.0007450581,39999.9991059303,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Slovak Republic (current US$)",DC.DAC.SVKL.CD,..,..,..,..,..,..,..,..,..,..,..,..,9999.99977648258,59999.9986588955,29999.999329447703,19999.9995529652,19999.9995529652,19999.9995529652,9999.99977648258,..,209999.993443489,9999.99977648258,189999.99761581398,270000.010728836,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Slovenia (current US$)",DC.DAC.SVNL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,29999.999329447703,59999.9986588955,9999.99977648258,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Spain (current US$)",DC.DAC.ESPL.CD,970000.028610229,330000.013113022,689999.997615814,-349999.99403953605,-1110000.01430511,1179999.94754791,1799999.95231628,810000.002384186,4480000.01907349,9720000.26702881,27079999.9237061,60540000.9155273,94000000,39459999.0844727,38819999.6948242,14739999.7711182,8220000.26702881,7960000.03814697,6840000.15258789,7630000.11444092,8250000,8069999.694824221,7260000.228881841,7780000.20980835,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Sweden (current US$)",DC.DAC.SWEL.CD,35950000.762939505,30940000.5340576,18879999.1607666,20719999.3133545,20620000.8392334,21309999.4659424,28629999.1607666,50759998.3215332,68370002.746582,41529998.779296905,44720001.220703095,46939998.626709,44599998.4741211,39419998.1689453,40669998.1689453,27229999.5422363,29790000.915527303,35209999.0844727,34340000.1525879,47130001.0681152,79529998.7792969,78720001.2207031,76930000.3051758,57919998.1689453,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Switzerland (current US$)",DC.DAC.CHEL.CD,2390000.10490417,4550000.19073486,2960000.03814697,3589999.91416931,2259999.99046326,2119999.8855590797,5300000.19073486,3240000.00953674,2650000.09536743,2759999.99046326,2430000.0667572,3150000.09536743,5400000.09536743,6230000.01907349,11340000.1525879,9539999.96185303,9949999.80926514,14210000.038146999,19780000.6866455,14149999.6185303,16799999.237060502,15739999.7711182,15640000.3433228,19219999.3133545,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, Total (current US$)",DC.DAC.TOTL.CD,414870001.62899494,480630004.3575461,408480001.822114,448970000.9971858,467579999.08924097,606609996.3635206,1183519985.3777883,1139459990.3319042,1351029987.4488268,1221409988.1239243,1610330024.2275,2292219998.702408,2020739998.5697117,2094390012.9515684,2128510024.1284814,2024970006.8477552,2034410015.854986,2181890052.2496567,2009669987.5649073,2382350040.541962,2419460060.4362817,2332720001.7217555,2360659986.3506856,2553819995.0382113,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, United Kingdom (current US$)",DC.DAC.GBRL.CD,21559999.4659424,13029999.7329712,12039999.961853001,11350000.3814697,27610000.6103516,43659999.8474121,62919998.1689453,147130004.882813,75480003.3569336,164610000.61035198,291070007.324219,253679992.67578098,342920013.42773396,406950012.207031,552250000,421049987.792969,515059997.558594,529650024.414063,517619995.117188,451170013.42773396,419950012.207031,402079986.57226604,382250000,325619995.11718804,..
+Ethiopia,ETH,"Net bilateral aid flows from DAC donors, United States (current US$)",DC.DAC.USAL.CD,60000000,53229999.5422363,77349998.4741211,129820007.324219,94419998.1689453,156429992.67578098,567799987.792969,402299987.792969,608609985.351563,315779998.779297,371730010.986328,811369995.117188,726039978.027344,802630004.882813,659280029.296875,693400024.414063,678780029.296875,664840026.855469,746429992.675781,874890014.648438,1026680053.71094,821320007.324219,865979980.46875,794179992.675781,..
+Ethiopia,ETH,Net migration,SM.POP.NETM,-155577,..,..,..,..,-150001,..,..,..,..,-50132,..,..,..,..,399997,..,..,..,..,150002,..,..,..,..
+Ethiopia,ETH,Net ODA provided to the least developed countries (% of GNI),DC.ODA.TLDC.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Net ODA provided, to the least developed countries (current US$)",DC.ODA.TLDC.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Net ODA provided, total (% of GNI)",DC.ODA.TOTL.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Net ODA provided, total (constant 2020 US$)",DC.ODA.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Net ODA provided, total (current US$)",DC.ODA.TOTL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Net ODA received (% of central government expense),DT.ODA.ODAT.XP.ZS,54.374211477335635,52.767673678627894,46.00160612346195,..,92.38322001431992,97.84504988349778,119.25690294472686,111.7457945238282,104.74243957849345,139.91812910561055,171.91956433891428,95.13888910440929,96.99672425090776,92.31777881480886,103.31271677569968,88.44729983165924,79.79252273296632,67.46504614127798,48.31827550157612,54.467272713047755,44.907911917109274,54.198218268596854,50.242818306730065,58.54010304852266,..
+Ethiopia,ETH,Net ODA received (% of GNI),DT.ODA.ODAT.GN.ZS,6.8169082217874895,8.517235155694202,8.410840979053026,8.405986943046077,13.491327693194952,16.98992838846462,18.944138644348715,18.180000588021255,15.601008522663431,13.347909679925534,13.216588763144916,12.243025621034844,11.803280990517681,11.584554263989657,10.958379420163833,7.50495274404601,8.166645494695146,6.462309057798212,5.034757212547758,5.513373432482775,5.074417512545543,5.8892479206910355,4.9064338852955975,4.952733175841793,..
+Ethiopia,ETH,Net ODA received (% of gross capital formation),DT.ODA.ODAT.GI.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,34.05587570201147,20.18516373656035,23.908674842958533,16.9621529238885,12.328837714599535,14.713641485550214,13.121123179098376,16.88188484293703,13.82791354481379,16.10437323108631,..
+Ethiopia,ETH,"Net ODA received (% of imports of goods, services and primary income)",DT.ODA.ODAT.MP.ZS,39.61351799302582,35.12685217581307,33.78782940420277,41.111650916065926,50.2635338664941,63.97851430402316,61.250557465030695,48.32968928339713,39.02949649031742,38.28694519765597,37.55046926654895,34.42308523729135,42.08342985631411,34.60095854598852,29.46600583512751,22.78283597563909,26.98091191724489,19.488397925474203,16.055257617140473,19.992765253087903,20.821307805384485,24.3030352541771,23.510553108604384,29.712360471614918,..
+Ethiopia,ETH,Net ODA received per capita (current US$),DT.ODA.ODAT.PC.ZS,9.537633622301536,10.562534483488392,9.997822576578079,10.385835734052007,16.19145150007199,18.886520065689233,22.46289293666196,24.65398947455484,25.26801878332024,25.921399622128035,32.30952929890151,39.99518260814444,44.86195020925682,39.42447980647663,38.76073533781977,34.976119253711396,40.703546271953726,36.53587696970233,32.118663176649584,39.408626678866455,38.766474330066735,45.23356878999163,41.729238778180445,46.115996195508274,..
+Ethiopia,ETH,Net official aid received (constant 2020 US$),DT.ODA.OATL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Net official aid received (current US$),DT.ODA.OATL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Net official development assistance and official aid received (constant 2020 US$),DT.ODA.ALLD.KD,807619995.117188,944070007.324219,910330017.089844,1027739990.23438,1659439941.40625,1914439941.40625,2096000000,2158750000,2250750000,2240330078.125,2628270019.53125,3288560058.59375,3889870117.1875,3519469970.70313,3347219970.70313,3165139892.57813,3737270019.53125,3407840087.89063,3364750000,4323910156.25,4291939941.40625,4941029785.15625,4893290039.0625,..,..
+Ethiopia,ETH,Net official development assistance and official aid received (current US$),DT.ODA.ALLD.CD,578909973.144531,660239990.234375,643289978.027344,687799987.792969,1103599975.58594,1324739990.23438,1621160034.17969,1830300048.82813,1929119995.11719,2034550048.82813,2606550048.82813,3316250000,3823760009.76563,3455159912.10938,3493889892.57813,3243229980.46875,3882540039.0625,3583959960.9375,3238699951.17188,4082870117.1875,4124750000,4940609863.28125,4676959960.9375,5301660156.25,..
+Ethiopia,ETH,Net official development assistance received (constant 2020 US$),DT.ODA.ODAT.KD,808179992.675781,943890014.648438,913500000,1033489990.23438,1675380004.88281,1930729980.46875,2122540039.0625,2185879882.8125,2277469970.70313,2263550048.82813,2655169921.875,3329120117.1875,3939850097.65625,3572209960.9375,3398080078.125,3212050048.82813,3789570068.35938,3453010009.76563,3410110107.42188,4374729980.46875,4346399902.34375,4987029785.15625,4798839843.75,5301660156.25,..
+Ethiopia,ETH,Net official development assistance received (current US$),DT.ODA.ODAT.CD,578909973.144531,660239990.234375,643289978.027344,687799987.792969,1103599975.58594,1324739990.23438,1621160034.17969,1830300048.82813,1929119995.11719,2034550048.82813,2606550048.82813,3316250000,3823760009.76563,3455159912.10938,3493889892.57813,3243229980.46875,3882540039.0625,3583959960.9375,3238699951.17188,4082870117.1875,4124750000,4940609863.28125,4676959960.9375,5301660156.25,..
+Ethiopia,ETH,"Net official flows from UN agencies, FAO (current US$)",DT.NFL.FAOG.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,370575.815439224,..,..,..,..,620500.028133392,854004.02545929,..,..
+Ethiopia,ETH,"Net official flows from UN agencies, IAEA (current US$)",DT.NFL.IAEA.CD,..,..,..,..,..,..,..,..,..,1159999.9666214,910000.026226044,680000.007152557,920000.016689301,720000.028610229,370000.00476837205,759999.990463257,1210000.03814697,860000.014305115,667698.264122009,773694.87285614,670375.406742096,327601.999044418,417469.084262848,459020.584821701,..
+Ethiopia,ETH,"Net official flows from UN agencies, IFAD (current US$)",DT.NFL.IFAD.CD,-400000.00596046395,-620000.004768372,899999.976158142,3140000.10490417,3930000.0667572,5050000.19073486,8680000.30517578,8000000,12710000.038146999,16299999.2370605,29579999.9237061,3809999.94277954,-1090000.0333786,13369999.8855591,8210000.038146971,62200000.762939505,55159999.8474121,31530000.6866455,22876054.7637939,33966331.4819336,53801502.2277832,41780162.8112793,34574302.6733398,15740157.127380399,..
+Ethiopia,ETH,"Net official flows from UN agencies, ILO (current US$)",DT.NFL.ILOG.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,579415.798187256,477077.394723892,328249.990940094,440910.01152992196,470120.012760162,370110.00514030503,1615723.3715057399,4330810.07003784,2044433.83216858,..
+Ethiopia,ETH,"Net official flows from UN agencies, UNAIDS (current US$)",DT.NFL.UNAI.CD,..,..,..,..,..,..,..,..,750000,769999.980926514,2329999.92370605,1590000.0333786,1990000.0095367401,1600000.02384186,1750000,1770872.47371674,1751628.39889526,1261555.07564545,882627.010345459,820571.8994140631,774900.019168854,409196.70462608297,1131139.9936676002,..,..
+Ethiopia,ETH,"Net official flows from UN agencies, UNDP (current US$)",DT.NFL.UNDP.CD,24579999.9237061,15909999.8474121,7670000.07629395,18840000.1525879,17000000,13329999.923706101,10649999.6185303,10970000.2670288,12060000.4196167,17170000.0762939,9460000.03814697,21940000.5340576,17350000.3814697,17110000.6103516,15619999.8855591,15512259.4833374,13857172.9660034,15166576.385498,11319893.8369751,10847601.890564,10108265.87677,9257479.66766357,10823478.6987305,11373818.397521999,..
+Ethiopia,ETH,"Net official flows from UN agencies, UNECE (current US$)",DT.NFL.UNEC.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Net official flows from UN agencies, UNEP (current US$)",DT.NFL.UNEP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Net official flows from UN agencies, UNFPA (current US$)",DT.NFL.UNFP.CD,5789999.96185303,1820000.05245209,870000.004768372,2960000.03814697,3329999.92370605,3799999.95231628,4539999.96185303,4599999.90463257,3730000.01907349,4269999.98092651,3440000.05722046,5429999.82833862,6099999.90463257,5039999.96185303,6059999.94277954,5661562.9196167,5716928.0052185105,6527814.8651123,7131953.23944092,6444245.33843994,4796517.37213135,4402910.23254395,5043574.81002808,5166850.09002686,..
+Ethiopia,ETH,"Net official flows from UN agencies, UNHCR (current US$)",DT.NFL.UNCR.CD,17690000.5340576,17579999.9237061,16959999.084472697,16299999.2370605,18379999.1607666,19149999.6185303,14390000.3433228,8840000.15258789,2670000.07629395,1549999.95231628,2839999.91416931,4869999.88555908,6159999.84741211,4440000.05722046,..,..,..,..,..,..,..,1259900.09307861,3855360.26954651,..,..
+Ethiopia,ETH,"Net official flows from UN agencies, UNICEF (current US$)",DT.NFL.UNCF.CD,12210000.038146999,12779999.7329712,14359999.6566772,13449999.8092651,19379999.1607666,14010000.2288818,14560000.4196167,18620000.8392334,24090000.1525879,25829999.9237061,51409999.8474121,45849998.4741211,35930000.3051758,42740001.6784668,40020000.4577637,29852664.947509803,43873279.5715332,40216514.5874023,41178203.5827637,38996749.8779297,43286861.4196777,38733085.6323242,40898998.260497995,35014999.3896484,..
+Ethiopia,ETH,"Net official flows from UN agencies, UNIDIR (current US$)",DT.NFL.UNID.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Net official flows from UN agencies, UNPBF (current US$)",DT.NFL.UNPB.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,24492.2991842031,..,1136139.98889923,..
+Ethiopia,ETH,"Net official flows from UN agencies, UNRWA (current US$)",DT.NFL.UNRW.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Net official flows from UN agencies, UNTA (current US$)",DT.NFL.UNTA.CD,2400000.09536743,1779999.97138977,2720000.02861023,4440000.05722046,2269999.98092651,3799999.95231628,4300000.19073486,4500000,4840000.15258789,3150000.09536743,3769999.98092651,1139999.98569489,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Net official flows from UN agencies, UNWTO (current US$)",DT.NFL.UNWT.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Net official flows from UN agencies, WFP (current US$)",DT.NFL.WFPG.CD,22309999.4659424,16129999.160766602,19860000.6103516,36020000.4577637,27309999.4659424,23530000.6866455,15229999.5422363,9829999.92370605,14079999.923706101,15970000.2670288,12270000.4577637,15930000.3051758,16569999.6948242,3720000.02861023,28059999.4659424,23435207.366943397,18907915.1153564,26490539.5507813,23967273.7121582,16280845.6420898,12729060.1730347,..,7503250.12207031,14844142.9138184,..
+Ethiopia,ETH,"Net official flows from UN agencies, WHO (current US$)",DT.NFL.WHOL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2880000.1144409203,1911525.84552765,3375506.16264343,2368910.07423401,3702135.56289673,2965979.33769226,3568063.25912476,4047751.90353394,4542177.20031738,2719916.82052612,..
+Ethiopia,ETH,"Number of surgical procedures (per 100,000 population)",SH.SGR.PROC.P5,..,..,..,..,..,..,..,..,..,..,..,..,..,..,43,..,..,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Nurses and midwives (per 1,000 people)",SH.MED.NUMW.P3,..,..,..,..,..,..,0.2154,0.2094,0.2464,0.2274,0.2249,0.2022,0.2521,..,..,..,..,..,..,..,0.8286,0.7135,..,..,..
+Ethiopia,ETH,Out-of-pocket expenditure (% of current health expenditure),SH.XPD.OOPC.CH.ZS,..,..,..,35.95730209,34.5539856,37.46262741,34.4589386,34.86631393,31.3402977,38.77532959,36.99623489,38.47733307,41.53925705,42.29020691,46.53787994,42.16745377,42.40406799,38.47408676,36.74348068,35.43159103,34.40161514,35.44364929,37.87532043,..,..
+Ethiopia,ETH,Out-of-pocket expenditure per capita (current US$),SH.XPD.OOPC.PC.CD,..,..,..,1.93611907,1.94087127,1.9702664,2.01286322,2.05036624,2.08525903,3.35863905,4.43300548,5.17589472,6.49592499,7.06493892,7.03241875,8.71381735,8.43147671,8.56892023,8.78765915,8.88468168,8.57453864,8.61071131,10.12869588,..,..
+Ethiopia,ETH,"Out-of-pocket expenditure per capita, PPP (current international $)",SH.XPD.OOPC.PP.CD,..,..,..,7.57553407,8.47537171,9.18644463,8.50859709,8.60119489,8.23867175,12.30095559,14.65981471,14.33712508,17.91756439,23.77627309,23.6009055,23.23102668,22.18001045,23.49157652,23.28179075,23.96720148,24.01646704,25.26542953,28.44970125,..,..
+Ethiopia,ETH,"Part time employment, female (% of total female employment)",SL.TLF.PART.FE.ZS,..,..,..,..,..,..,..,..,78.7099990844727,..,..,..,..,..,..,..,66.4700012207031,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Part time employment, male (% of total male employment)",SL.TLF.PART.MA.ZS,..,..,..,..,..,..,..,..,51.4599990844727,..,..,..,..,..,..,..,42.9099998474121,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Part time employment, total (% of total employment)",SL.TLF.PART.ZS,..,..,..,..,..,..,..,..,64.3300018310547,..,..,..,..,..,..,..,53.7700004577637,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Physicians (per 1,000 people)",SH.MED.PHYS.ZS,0.023,0.021,0.02,0.021,0.028,0.029,0.0268,0.0269,0.0321,0.0269,0.0224,0.0251,0.0252,..,..,..,..,..,..,..,..,0.0769,..,..,..
+Ethiopia,ETH,Poverty gap at $1.90 a day (2011 PPP) (%),SI.POV.GAPS,..,..,17.4,..,..,..,..,9.2,..,..,..,..,..,9.8,..,..,..,..,8.9,..,..,..,..,..,..
+Ethiopia,ETH,Poverty gap at $3.20 a day (2011 PPP) (%),SI.POV.LMIC.GP,..,..,41.7,..,..,..,..,30.5,..,..,..,..,..,29.3,..,..,..,..,25.7,..,..,..,..,..,..
+Ethiopia,ETH,Poverty gap at $5.50 a day (2011 PPP) (%),SI.POV.UMIC.GP,..,..,63.9,..,..,..,..,55.6,..,..,..,..,..,53.4,..,..,..,..,49.6,..,..,..,..,..,..
+Ethiopia,ETH,Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population),SI.POV.DDAY,..,..,57.8,..,..,..,..,38.5,..,..,..,..,..,35.6,..,..,..,..,30.8,..,..,..,..,..,..
+Ethiopia,ETH,Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population),SI.POV.LMIC,..,..,89.2,..,..,..,..,79.8,..,..,..,..,..,74.6,..,..,..,..,68.9,..,..,..,..,..,..
+Ethiopia,ETH,Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population),SI.POV.UMIC,..,..,97.5,..,..,..,..,95.8,..,..,..,..,..,93.6,..,..,..,..,90.2,..,..,..,..,..,..
+Ethiopia,ETH,Poverty headcount ratio at national poverty lines (% of population),SI.POV.NAHC,..,..,44.2,..,..,..,..,38.7,..,..,..,..,..,29.6,..,..,..,..,23.5,..,..,..,..,..,..
+Ethiopia,ETH,"PPP conversion factor, GDP (LCU per international $)",PA.NUS.PPP,2.0227443612494,1.99722781441452,2.01324928727572,2.10251672023376,1.93785097318674,1.83901140504973,2.03367930187939,2.05797930852225,2.19246350211203,2.37253792980336,2.70792044034746,3.46233123889768,4.27098503785818,4.28123102942055,5.03550291061401,6.64094877243042,7.08069944381714,7.14422369003296,7.76668500900269,8.05592060089111,8.52085494995117,9.35250008459928,10.3697827950048,12.116709373811,14.1668407806467
+Ethiopia,ETH,"PPP conversion factor, private consumption (LCU per international $)",PA.NUS.PRVT.PP,2.00984346786234,1.99683118808889,2.1092573860842,2.05387394115432,1.83287871020799,1.81644291551905,2.01899112483323,2.03177501331596,2.16102431348011,2.35097775868675,2.67984844856645,3.72551418089792,4.05599447979683,4.31574803632374,5.57474660873413,6.73075819015503,7.24770784378052,7.36900234222412,7.87940168380737,8.02281379699707,8.49641704559326,9.44112217200322,10.7391135623298,12.7677043595809,15.4678380013926
+Ethiopia,ETH,Price level ratio of PPP conversion factor (GDP) to market exchange rate,PA.NUS.PPPC.RF,0.3112680600223747,0.2902103769855449,0.2680436814863359,0.2580376677058161,0.23269662734296453,0.21527285343623562,0.23701174778618844,0.2387585484682696,0.253417113841605,0.273305524750125,0.3079281828914555,0.37454903060338385,0.40992274094041464,0.33211007908002094,0.3123761110802736,0.3848709807261907,0.3891734422957393,0.3745294251191579,0.3864868433389742,0.3816904562653623,0.38016279998175984,0.3582207921112631,0.3696338799539748,0.38653489564586724,0.36310057029105014
+Ethiopia,ETH,Proportion of people living below 50 percent of median income (%),SI.DST.50MD,..,..,6.1,..,..,..,..,5.2,..,..,..,..,..,9.4,..,..,..,..,12.4,..,..,..,..,..,..
+Ethiopia,ETH,Proportion of seats held by women in national parliaments (%),SG.GEN.PARL.ZS,2.04841713221601,2.04841713221601,2.02578268876611,7.69230769230769,7.6782449725777004,7.6782449725777004,7.6782449725777004,7.6782449725777004,21.4285714285714,21.9281663516068,21.9281663516068,21.9281663516068,21.9281663516068,27.7879341864717,27.7879341864717,27.7879341864717,27.7879341864717,27.7879341864717,38.7568555758684,38.7568555758684,38.7568555758684,38.7568555758684,38.7568555758684,38.7568555758684,42.5882352941177
+Ethiopia,ETH,"Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)",SG.TIM.UWRK.FE,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,19.30556,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)",SG.TIM.UWRK.MA,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,6.59722,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49),SG.VAW.1549.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,19.8,..,..,..,..,..
+Ethiopia,ETH,Ratio of female to male labor force participation rate (%) (modeled ILO estimate),SL.TLF.CACT.FM.ZS,76.86797407967283,77.70426028037508,78.52822667320359,79.33701120360882,80.13431962524449,80.91790027936469,81.6870623270457,82.44178072195882,83.1833312019323,83.28194880343355,83.38387920627798,83.48785678246877,83.5959494521238,83.70708406610076,83.82146783787644,83.9380093150107,84.05916972764618,84.47855431405766,84.90349066830282,85.2547347048067,85.62366151257378,85.99819678123085,86.36185021087564,84.44573870666011,85.41856125958034
+Ethiopia,ETH,Ratio of female to male labor force participation rate (%) (national estimate),SL.TLF.CACT.FM.NE.ZS,..,..,68.33061237730217,..,..,..,..,..,83.18318081333356,..,..,..,..,..,..,..,84.05928675734246,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Refugee population by country or territory of asylum,SM.POP.REFG,323064,262158,257683,197960,152554,132939,130274,115979,100813,96975,85179,83573,121880,154288,288839,376388,433933,659520,736081,791631,889412,903226,733123,800454,821283
+Ethiopia,ETH,Refugee population by country or territory of origin,SM.POP.REFG.OR,84386,70663,71040,66396,58980,61235,62674,63153,65447,74007,59845,63863,62877,68838,70601,74964,77109,86857,85839,83958,87448,92232,93467,151426,149125
+Ethiopia,ETH,"Self-employed, female (% of female employment) (modeled ILO estimate)",SL.EMP.SELF.FE.ZS,91.2099990844727,91.6900024414063,91.9400024414063,92.5199966430664,92.2600021362305,92.5400009155273,93.1399993896484,93.0299987792969,93.1999969482422,93.0699996948242,92.6900024414063,92.629997253418,92.4700012207031,92.0199966430664,91.5800018310547,91.2200012207031,90.879997253418,90.2699966430664,89.5400009155273,88.8300018310547,88.0999984741211,87.3000030517578,86.620002746582,..,..
+Ethiopia,ETH,"Self-employed, male (% of male employment) (modeled ILO estimate)",SL.EMP.SELF.MA.ZS,89.4899978637695,89.2799987792969,88.9100036621094,89,89.1399993896484,89.2200012207031,89.5199966430664,89.4499969482422,89.5400009155273,89.1699981689453,88.7900009155273,88.4400024414063,88.0599975585938,87.4700012207031,86.8899993896484,86.4599990844727,85.9199981689453,85.1900024414063,84.4800033569336,83.6100006103516,82.9700012207031,82.4599990844727,82.0299987792969,..,..
+Ethiopia,ETH,"Self-employed, total (% of total employment) (modeled ILO estimate)",SL.EMP.SELF.ZS,90.2399978637695,90.3399963378906,90.2399978637695,90.5599975585938,90.5299987792969,90.7099990844727,91.1500015258789,91.0699996948242,91.2099990844727,90.9499969482422,90.5699996948242,90.3499984741211,90.0699996948242,89.5500030517578,89.0299987792969,88.629997253418,88.1800003051758,87.5100021362305,86.8000030517578,86.0100021362305,85.3399963378906,84.6900024414063,84.1500015258789,..,..
+Ethiopia,ETH,"Services, value added (annual % growth)",NV.SRV.TOTL.KD.ZG,4.396839696733721,6.483649734630646,8.113166809219962,10.884424742147928,4.540421243458212,5.63736351870925,8.467541947973075,5.079107217654325,12.316710813960924,12.84491057397905,15.756621458216785,16.400398521781185,14.682129516412147,16.73739950868662,13.002182953231852,9.908847914735901,9.05024917178406,12.865554089525034,11.105243189877442,11.214100077226519,7.533163585452158,8.484738704565615,11.245579756241938,5.287522802301851,6.271380022048007
+Ethiopia,ETH,"Services, value added (constant 2015 US$)",NV.SRV.TOTL.KD,4093884580.7547746,4359317717.510966,4712996435.676512,5225978985.817836,5463260445.868571,5771244297.176039,6259926828.959424,6577875224.348982,7388053093.435229,8337041906.445077,9650678040.456528,11233427699.145422,12882734103.06647,15038968777.53852,16994363012.273495,18678308597.237804,20368742066.362587,22989293594.266304,25542310555.544495,28406650823.279247,30546570298.945065,33138366972.017,36864968459.77131,38814212073.143105,41248398814.813545
+Ethiopia,ETH,"Services, value added per worker (constant 2015 US$)",NV.SRV.EMPL.KD,960.0034149352023,999.1468782835229,1039.4401679346,1138.7196593221488,1173.7054448735857,1244.9459708017087,1368.8350380032023,1398.7511552180736,1555.1342831013205,1631.7874126349661,1751.7823074190965,1893.5613141410201,2023.1243374598312,2177.414384958036,2269.7304174976252,2310.211648210676,2321.6818237722437,2453.9795540753234,2560.845951882007,2687.5408034991397,2726.1682620701536,2803.984132940252,2951.2985961502536,..,..
+Ethiopia,ETH,"Share of youth not in education, employment or training, female (% of female youth population)",SL.UEM.NEET.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,15.1300001144409,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Share of youth not in education, employment or training, male (% of male youth population)",SL.UEM.NEET.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.65999984741211,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Share of youth not in education, employment or training, total (% of youth population)",SL.UEM.NEET.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10.4799995422363,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Specialist surgical workforce (per 100,000 population)",SH.MED.SAOP.P5,..,..,..,..,..,..,..,..,..,..,..,..,..,0.67,..,..,..,0.56,..,0.54,..,..,..,..,..
+Ethiopia,ETH,"Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day)",SI.SPR.PC40,..,..,..,..,..,..,..,..,..,..,..,..,..,1.44,..,..,..,..,1.51,..,..,..,..,..,..
+Ethiopia,ETH,"Survey mean consumption or income per capita, total population (2011 PPP $ per day)",SI.SPR.PCAP,..,..,..,..,..,..,..,..,..,..,..,..,..,2.8,..,..,..,..,3.11,..,..,..,..,..,..
+Ethiopia,ETH,Unemployment with advanced education (% of total labor force with advanced education),SL.UEM.ADVN.ZS,..,..,8.39000034332275,..,..,..,..,..,8.05000019073486,..,..,..,..,..,..,..,5.48000001907349,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Unemployment with advanced education, female (% of female labor force with advanced education)",SL.UEM.ADVN.FE.ZS,..,..,9.96000003814697,..,..,..,..,..,13.9399995803833,..,..,..,..,..,..,..,7.11999988555908,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Unemployment with advanced education, male (% of male labor force with advanced education)",SL.UEM.ADVN.MA.ZS,..,..,7.84000015258789,..,..,..,..,..,5.65000009536743,..,..,..,..,..,..,..,4.90000009536743,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Unemployment with basic education (% of total labor force with basic education),SL.UEM.BASC.ZS,..,..,6.67000007629395,..,..,..,..,..,3.97000002861023,..,..,..,..,..,..,..,3.20000004768372,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Unemployment with basic education, female (% of female labor force with basic education)",SL.UEM.BASC.FE.ZS,..,..,14.6599998474121,..,..,..,..,..,7.55000019073486,..,..,..,..,..,..,..,5.46000003814697,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Unemployment with basic education, male (% of male labor force with basic education)",SL.UEM.BASC.MA.ZS,..,..,4.13000011444092,..,..,..,..,..,2.53999996185303,..,..,..,..,..,..,..,1.94000005722046,..,..,..,..,..,..,..,..
+Ethiopia,ETH,Unemployment with intermediate education (% of total labor force with intermediate education),SL.UEM.INTM.ZS,..,..,23.8999996185303,..,..,..,..,..,17.1399993896484,..,..,..,..,..,..,..,7.94000005722046,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Unemployment with intermediate education, female (% of female labor force with intermediate education)",SL.UEM.INTM.FE.ZS,..,..,36.3499984741211,..,..,..,..,..,26.4300003051758,..,..,..,..,..,..,..,10.9300003051758,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Unemployment with intermediate education, male (% of male labor force with intermediate education)",SL.UEM.INTM.MA.ZS,..,..,16.8899993896484,..,..,..,..,..,11.5100002288818,..,..,..,..,..,..,..,6.05999994277954,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Unemployment, female (% of female labor force) (modeled ILO estimate)",SL.UEM.TOTL.FE.ZS,4.31099987030029,4.68699979782104,4.98600006103516,4.70100021362305,4.41099977493286,4.16099977493286,3.89599990844727,3.5550000667572,3.28399991989136,3.24300003051758,3.19600009918213,3.15599989891052,3.11999988555908,3.06599998474121,3.02800011634827,2.99399995803833,2.9449999332428,2.9539999961853,2.96099996566772,2.97199988365173,2.98000001907349,2.99600005149841,2.99900007247925,4.04400014877319,4.7039999961853
+Ethiopia,ETH,"Unemployment, female (% of female labor force) (national estimate)",SL.UEM.TOTL.FE.NE.ZS,..,..,5.05999994277954,..,..,..,..,..,3.25,..,..,..,..,..,..,..,2.94000005722046,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Unemployment, male (% of male labor force) (modeled ILO estimate)",SL.UEM.TOTL.MA.ZS,2.8050000667572,2.76900005340576,2.6800000667572,2.53800010681152,2.39100003242493,2.2720000743866,2.14100003242493,1.96200001239777,1.8289999961853,1.80799996852875,1.78299999237061,1.76199996471405,1.74500000476837,1.7150000333786,1.69599997997284,1.67900002002716,1.65299999713898,1.66700005531311,1.67900002002716,1.69400000572205,1.70700001716614,1.72599995136261,1.73599994182587,2.5460000038147,2.81800007820129
+Ethiopia,ETH,"Unemployment, male (% of male labor force) (national estimate)",SL.UEM.TOTL.MA.NE.ZS,..,..,2.72000002861023,..,..,..,..,..,1.80999994277954,..,..,..,..,..,..,..,1.64999997615814,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Unemployment, total (% of total labor force) (modeled ILO estimate)",SL.UEM.TOTL.ZS,3.47000002861023,3.62100005149841,3.71000003814697,3.5090000629425,3.30399990081787,3.13000011444092,2.94199991226196,2.69300007820129,2.5,2.47000002861023,2.43499994277954,2.40599989891052,2.38000011444092,2.33899998664856,2.31200003623962,2.28699994087219,2.25,2.26200008392334,2.2739999294281,2.28800010681152,2.29900002479553,2.31800007820129,2.32599997520447,3.23699998855591,3.69400000572205
+Ethiopia,ETH,"Unemployment, total (% of total labor force) (national estimate)",SL.UEM.TOTL.NE.ZS,..,..,3.71000003814697,..,..,..,..,..,2.5,..,..,..,..,..,..,..,2.25,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.FE.ZS,6.42899990081787,6.91800022125244,7.31899976730347,6.86800003051758,6.42199993133545,6.01900005340576,5.60099983215332,5.10799980163574,4.68200016021729,4.65399980545044,4.62200021743774,4.59499979019165,4.57200002670288,4.52799987792969,4.49599981307983,4.46600008010864,4.4210000038147,4.46199989318848,4.50500011444092,4.55200004577637,4.59899997711182,4.65899991989136,4.70800018310547,6.08500003814697,7.1560001373291
+Ethiopia,ETH,"Unemployment, youth female (% of female labor force ages 15-24) (national estimate)",SL.UEM.1524.FE.NE.ZS,..,..,7.44999980926514,..,..,..,..,..,4.59999990463257,..,..,..,..,..,..,..,4.48000001907349,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.MA.ZS,4.0310001373291,3.91599988937378,3.75799989700317,3.56399989128113,3.37199997901917,3.2039999961853,3.02800011634827,2.80999994277954,2.63299989700317,2.62800002098084,2.62100005149841,2.61700010299683,2.61400008201599,2.59800004959106,2.59100008010864,2.58500003814697,2.57100009918213,2.61100006103516,2.65300011634827,2.69799995422363,2.74300003051758,2.79800009727478,2.84599995613098,3.93300008773804,4.44299983978271
+Ethiopia,ETH,"Unemployment, youth male (% of male labor force ages 15-24) (national estimate)",SL.UEM.1524.MA.NE.ZS,..,..,3.82999992370605,..,..,..,..,..,2.63000011444092,..,..,..,..,..,..,..,2.65000009536743,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.ZS,5.11899995803833,5.28499984741211,5.38899993896484,5.08300018310547,4.78000020980835,4.50799989700317,4.22300004959106,3.88000011444092,3.58899998664856,3.57399988174438,3.5550000667572,3.54099988937378,3.52800011634827,3.49699997901917,3.4779999256134,3.46099996566772,3.43300008773804,3.47399997711182,3.51799988746643,3.56500005722046,3.61299991607666,3.67300009727478,3.72300004959106,4.93499994277954,5.71799993515015
+Ethiopia,ETH,"Unemployment, youth total (% of total labor force ages 15-24) (national estimate)",SL.UEM.1524.NE.ZS,..,..,5.42000007629395,..,..,..,..,..,3.60999989509583,..,..,..,..,..,..,..,3.52999997138977,..,..,..,..,..,..,..,..
+Ethiopia,ETH,"Vulnerable employment, female (% of female employment) (modeled ILO estimate)",SL.EMP.VULN.FE.ZS,90.8199996948243,91.3299980163574,91.61000061035159,92.2299995422363,91.9499988555908,92.25,92.8500022888184,92.7600021362304,92.9399967193604,92.8399963378906,92.4600009918213,92.4199981689454,92.269998550415,91.8300018310547,91.40999984741211,91.0600013732911,90.7299995422363,90.1100006103515,89.3699989318848,88.6700019836426,87.9500007629394,87.1399993896484,86.4500007629394,..,..
+Ethiopia,ETH,"Vulnerable employment, male (% of male employment) (modeled ILO estimate)",SL.EMP.VULN.MA.ZS,87.8000011444091,87.7000007629395,87.480001449585,87.7099990844727,87.8300018310547,87.98000335693361,88.2999992370605,88.2999973297119,88.4500045776367,88.1399974822998,87.7800045013428,87.46999931335449,87.1300010681152,86.5900020599365,86.05000114440921,85.6299991607666,85.1299991607666,84.42000198364249,83.73000144958499,82.8999996185303,82.2800025939941,81.75,81.3199996948242,..,..
+Ethiopia,ETH,"Vulnerable employment, total (% of total employment) (modeled ILO estimate)",SL.EMP.VULN.ZS,89.1199989318848,89.29999923706049,89.29999923706049,89.7200012207031,89.6699981689454,89.9000015258789,90.3599967956543,90.31999969482419,90.4900016784668,90.2799987792969,89.92000198364249,89.7299995422363,89.4699974060059,88.9799995422363,88.5,88.11000061035159,87.68999862670901,87.0200004577637,86.3300018310546,85.560001373291,84.8899993896484,84.2400016784668,83.7000007629394,..,..
+Ethiopia,ETH,"Wage and salaried workers, female (% of female employment) (modeled ILO estimate)",SL.EMP.WORK.FE.ZS,8.78999996185303,8.3100004196167,8.0600004196167,7.48000001907349,7.73999977111816,7.46000003814697,6.86999988555908,6.98000001907349,6.80000019073486,6.92999982833862,7.30999994277954,7.36999988555908,7.53000020980835,7.98000001907349,8.42000007629395,8.77999973297119,9.11999988555908,9.72999954223633,10.460000038147,11.1700000762939,11.8999996185303,12.710000038147,13.3800001144409,..,..
+Ethiopia,ETH,"Wage and salaried workers, male (% of male employment) (modeled ILO estimate)",SL.EMP.WORK.MA.ZS,10.5100002288818,10.7200002670288,11.0900001525879,11.0100002288818,10.8599996566772,10.789999961853,10.4799995422363,10.5500001907349,10.460000038147,10.8299999237061,11.210000038147,11.5600004196167,11.9399995803833,12.5299997329712,13.1099996566772,13.5500001907349,14.0799999237061,14.8100004196167,15.5200004577637,16.3899993896484,17.0300006866455,17.5400009155273,17.9699993133545,..,..
+Ethiopia,ETH,"Wage and salaried workers, total (% of total employment) (modeled ILO estimate)",SL.EMP.WORK.ZS,9.76000022888184,9.65999984741211,9.76000022888184,9.4399995803833,9.47000026702881,9.28999996185303,8.85000038146973,8.93000030517578,8.78999996185303,9.05000019073486,9.43000030517578,9.64999961853027,9.93000030517578,10.4499998092651,10.9700002670288,11.3699998855591,11.8199996948242,12.4899997711182,13.1999998092651,13.9899997711182,14.6599998474121,15.3100004196167,15.8500003814697,..,..
+Ethiopia,ETH,Women Business and the Law Index Score (scale 1-100),SG.LAW.INDX,50,50,50,50,63.125,63.125,63.125,63.125,65.625,65.625,65.625,65.625,65.625,65.625,65.625,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,76.875,76.875
+Ethiopia,ETH,"Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care  (% of women age 15-49)",SG.DMK.SRCR.FN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,53.4,..,..,..,..,45.2,..,..,..,..,..
+Ethiopia,ETH,"Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)",SG.DMK.ALLD.FN.ZS,..,..,..,..,..,..,..,..,45.4,..,..,..,..,..,54.4,..,..,..,..,70.6,..,..,..,..,..
+Ethiopia,ETH,Women who believe a husband is justified in beating his wife (any of five reasons) (%),SG.VAW.REAS.ZS,..,..,..,84.5,..,..,..,..,81,..,..,..,..,..,68.4,..,..,..,..,63,..,..,..,..,..
+Ethiopia,ETH,Women who believe a husband is justified in beating his wife when she argues with him (%),SG.VAW.ARGU.ZS,..,..,..,61.3,..,..,..,..,58.7,..,..,..,..,..,45.4,..,..,..,..,42.2,..,..,..,..,..
+Ethiopia,ETH,Women who believe a husband is justified in beating his wife when she burns the food (%),SG.VAW.BURN.ZS,..,..,..,64.5,..,..,..,..,61,..,..,..,..,..,47.3,..,..,..,..,39.8,..,..,..,..,..
+Ethiopia,ETH,Women who believe a husband is justified in beating his wife when she goes out without telling him (%),SG.VAW.GOES.ZS,..,..,..,56.2,..,..,..,..,64.2,..,..,..,..,..,43.2,..,..,..,..,43.3,..,..,..,..,..
+Ethiopia,ETH,Women who believe a husband is justified in beating his wife when she neglects the children (%),SG.VAW.NEGL.ZS,..,..,..,64.5,..,..,..,..,64.6,..,..,..,..,..,51.8,..,..,..,..,47.5,..,..,..,..,..
+Ethiopia,ETH,Women who believe a husband is justified in beating his wife when she refuses sex with him (%),SG.VAW.REFU.ZS,..,..,..,50.9,..,..,..,..,44.3,..,..,..,..,..,38.6,..,..,..,..,34.7,..,..,..,..,..
+Uganda,UGA,Adequacy of social insurance programs (% of total welfare of beneficiary households),per_si_allsi.adq_pop_tot,..,..,..,..,..,..,..,..,23.1558368042772,..,..,..,15.3913032749909,..,..,19.0510001789636,..,..,..,24.6148015587818,..,..,..,..,..
+Uganda,UGA,Adequacy of social protection and labor programs (% of total welfare of beneficiary households),per_allsp.adq_pop_tot,..,..,..,..,..,..,..,..,23.1558368042772,..,..,..,12.7771603538373,..,..,13.509509563971,..,..,..,19.9750611518732,..,..,..,..,..
+Uganda,UGA,Adequacy of social safety net programs (% of total welfare of beneficiary households),per_sa_allsa.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,6.25016721665183,..,..,9.45784741521498,..,..,..,11.7647255847571,..,..,..,..,..
+Uganda,UGA,Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households),per_lm_alllm.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Adjusted net national income (annual % growth),NY.ADJ.NNTY.KD.ZG,10.435412525283084,0.9342353973101041,13.070184047488894,-2.2069402315340056,0.9873845053857622,5.0273018501417255,-2.893575301687008,15.359728291197783,7.92597590807496,11.685347024347578,5.081297821142556,5.704646823392821,17.99680216493347,6.198154543167831,3.7103062380321745,-1.3862031744505998,5.221926833316971,12.294708654057132,4.620496875619978,6.599493031991827,4.320461064474188,15.158565394508926,8.766817350082377,5.533056563071412,..
+Uganda,UGA,Adjusted net national income (constant 2015 US$),NY.ADJ.NNTY.KD,8745771739.42075,8827477834.778362,9981245434.535181,9760965313.432274,9857343572.513182,10352901988.308964,10053332973.367392,11597497602.286018,12516712468.18278,13979333756.129719,14689665337.690184,15527658864.743763,18322140911.47745,19457775520.787804,20179718579.717888,19899986680.170643,20939149424.44898,23513556840.82266,24600000000,26223475285.86999,27356450325.348015,31503295737.532246,34265132134.097984,36161041276.488785,..
+Uganda,UGA,Adjusted net national income (current US$),NY.ADJ.NNTY.CD,4770000000,5040000000,4841000000,4931000000,4555000000,4769000000,4664000000,5998000000,7098000000,7739000000,8887000000,10620000000,19970000000,21090000000,21240000000,19400000000,20940000000,24210000000,24600000000,22000000000,23600000000,26960000000,29310000000,31950000000,..
+Uganda,UGA,Adjusted net national income per capita (annual % growth),NY.ADJ.NNTY.PC.KD.ZG,7.260483761447816,-1.9428773982261873,9.810857678858298,-5.0921386284084775,-2.071825549262158,1.7793765524686194,-5.933361019716429,11.743608355176448,4.560514626485386,8.218530593075172,1.8209849974345218,2.4208028136433626,14.317797008225355,2.8673848873553567,0.46174162721335676,-4.4735018278106224,1.8737079173009903,8.592236941999062,1.0243937510881977,2.7717090371915702,0.4751719570517139,10.94763897920285,4.981797528172677,2.138231103273,..
+Uganda,UGA,Adjusted net national income per capita (constant 2015 US$),NY.ADJ.NNTY.PC.KD,403.8611602791928,396.0146330759144,434.86706511444515,412.7230313095262,404.17213009916617,411.36387421376384,386.956170451969,432.39878761603717,452.118397570012,489.2758863912248,498.1855268784738,510.245616130312,583.3015476912187,600.0270481174267,602.7976227731242,575.8314601003696,586.6208597585803,637.0247139802294,643.5503553431305,661.3876987010547,664.5304275726717,737.280819690281,774.0106573413026,790.5607939592222,..
+Uganda,UGA,Adjusted net national income per capita (current US$),NY.ADJ.NNTY.PC.CD,220.26846708662674,226.10238032421196,210.91470759100375,208.49754117932144,186.76472409212457,189.49221371368145,179.5189300671768,223.62823576784123,256.38812061150264,270.86455984509024,301.3938490490595,348.97781375192096,635.7625980322367,650.3605939577708,634.4697750428267,561.3637087043205,586.6446890627662,655.8926167514595,643.5503553431305,554.8665542153931,573.2804477261997,630.9527442606236,662.0798156531255,698.4980651931528,..
+Uganda,UGA,"Adjusted net savings, excluding particulate emission damage (% of GNI)",NY.ADJ.SVNX.GN.ZS,2.2145397,-2.8814946,0.36792243,-2.2105433,-2.0854729,-1.4485137,-6.7710304,2.4703887,3.6550201,0.25332949,-4.1902366,0.07076435,1.1789199,1.072127,-3.7072792,-6.5211714,-1.4339631,2.9238253,-4.4339093,2.3259836,3.7850067,7.1784707,9.3249229,9.911851,..
+Uganda,UGA,"Adjusted net savings, excluding particulate emission damage (current US$)",NY.ADJ.SVNX.CD,138500000,-189500000,22018551,-134500000,-118000000,-87556278,-438100000,190800000,327700000,24646256,-489200000,10033177,291500000,281200000,-1017000000,-1743000000,-405400000,931700000,-1408000000,667400000,1136000000,2297000000,3211000000,3665000000,..
+Uganda,UGA,"Adjusted net savings, including particulate emission damage (% of GNI)",NY.ADJ.SVNG.GN.ZS,0.20545497,-4.9279191,-1.6469501,-4.2932022,-4.1894549,-3.4171266,-8.6573499,0.59162148,1.7933306,-1.4938174,-5.8420177,-1.4768588,-0.31828707,-0.43156485,-5.1461208,-7.9827386,-2.9395715,1.4418731,-5.8106895,0.98196617,2.5656969,6.0486179,8.2965899,8.9531439,..
+Uganda,UGA,"Adjusted net savings, including particulate emission damage (current US$)",NY.ADJ.SVNG.CD,12846695,-324100000,-98562772,-261300000,-237100000,-206600000,-560100000,45701454,160800000,-145300000,-682000000,-209400000,-78691532,-113200000,-1412000000,-2134000000,-831100000,459500000,-1845000000,281700000,770200000,1936000000,2857000000,3311000000,..
+Uganda,UGA,Adjusted savings: carbon dioxide damage (% of GNI),NY.ADJ.DCO2.GN.ZS,0.2993838,0.33693856,0.3930458,0.41037244,0.46451594,0.51428363,0.53022123,0.50540086,0.57849779,0.65789986,0.65382898,0.603604,0.38114765,0.42140024,0.45157929,0.45739702,0.4891509,0.50155737,0.53361619,0.70839898,0.72788217,0.75052662,0.78430178,0.79395733,..
+Uganda,UGA,Adjusted savings: carbon dioxide damage (current US$),NY.ADJ.DCO2.CD,18719880,22158144,23522074,24973588,26290618,31086182,34304212,39041102,51874371,64006635,76327949,85580739,94232832,110500000,123900000,122300000,138300000,159800000,169500000,203300000,218500000,240200000,270100000,293600000,..
+Uganda,UGA,Adjusted savings: consumption of fixed capital (% of GNI),NY.ADJ.DKAP.GN.ZS,6.8218416,6.5533585,6.6167226,6.7062794,6.6555492,6.5332958,6.5837227,6.7444378,6.623675,6.892362,7.4148964,8.4035731,9.6118612,11.37632,13.305586,16.532571,15.216777,13.483462,11.538487,10.378964,8.9562134,7.5827115,7.3167313,6.2069699,..
+Uganda,UGA,Adjusted savings: consumption of fixed capital (current US$),NY.ADJ.DKAP.CD,426600000,431000000,396000000,408100000,376700000,394900000,426000000,521000000,594000000,670600000,865600000,1191000000,2376000000,2984000000,3651000000,4419000000,4302000000,4297000000,3665000000,2978000000,2689000000,2427000000,2520000000,2295000000,..
+Uganda,UGA,Adjusted savings: education expenditure (% of GNI),NY.ADJ.AEDU.GN.ZS,1.9365775,1.9365775,2.2471479,2.5577183,2.8682887,3.1788592,3.4894296,3.8,3.6,3.4,3.2,3,2.8,2.1,2.5,2.4,2,1.72096,1.72096,1.72096,1.72096,1.72096,1.72096,1.72096,..
+Uganda,UGA,Adjusted savings: education expenditure (current US$),NY.ADJ.AEDU.CD,121100000,127400000,134500000,155700000,162300000,192100000,225800000,293500000,322800000,330800000,373600000,425300000,692300000,550900000,686000000,641500000,565500000,548400000,546600000,493800000,516600000,550700000,592600000,636300000,..
+Uganda,UGA,Adjusted savings: energy depletion (% of GNI),NY.ADJ.DNGY.GN.ZS,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,..
+Uganda,UGA,Adjusted savings: energy depletion (current US$),NY.ADJ.DNGY.CD,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,..
+Uganda,UGA,Adjusted savings: gross savings (% of GNI),NY.ADJ.ICTR.GN.ZS,24.293777,18.885736,17.623445,14.610463,15.028682,16.984194,18.181233,21.527738,21.476519,17.968826,17.133927,22.789796,17.989027,19.006549,16.848669,18.942324,22.98123,25.729116,16.907064,24.626447,24.166087,21.944773,23.287784,22.588572,..
+Uganda,UGA,Adjusted savings: mineral depletion (% of GNI),NY.ADJ.DMIN.GN.ZS,0,0.0001703,7.648e-05,0.00138594,0,0.00012532,7.132e-05,0.01630199,0.02658234,0.06416412,0.06049333,0.05979425,1.383e-05,0.00064918,0.0001627,0.00039973,0.105726,0.0773632,0.05797831,0.08248592,0.03834297,0,0,1.6e-05,..
+Uganda,UGA,Adjusted savings: mineral depletion (current US$),NY.ADJ.DMIN.CD,0,11199.7,4576.9394,84342.809,0,7574.8371,4614.0666,1259292.9,2383659.8,6242483.9,7061986.7,8477803.3,3419.01,170286.75,44646.888,106843.03,29892742,24652220,18413452,23666788,11510853,0,0,5914.7942,..
+Uganda,UGA,Adjusted savings: natural resources depletion (% of GNI),NY.ADJ.DRES.GN.ZS,16.894589,16.8135103,12.492902480000001,12.262072940000001,12.862378,14.56398732,21.32774932,15.60751099,14.219326339999999,13.56523412,16.45543833,16.71185525,9.617098030000001,8.23670178,9.2987827,10.87352773,10.709265,10.5412312,10.989830309999999,12.93406092,12.41794497,8.1540237,7.5827884,7.3967534,..
+Uganda,UGA,Adjusted savings: net forest depletion (% of GNI),NY.ADJ.DFOR.GN.ZS,16.894589,16.81334,12.492826,12.260687,12.862378,14.563862,21.327678,15.591209,14.192744,13.50107,16.394945,16.652061,9.6170842,8.2360526,9.29862,10.873128,10.603539,10.463868,10.931852,12.851575,12.379602,8.1540237,7.5827884,7.3967374,..
+Uganda,UGA,Adjusted savings: net forest depletion (current US$),NY.ADJ.DFOR.CD,1056000000,1106000000,747600000,746100000,728000000,880300000,1380000000,1204000000,1273000000,1314000000,1914000000,2361000000,2378000000,2160000000,2552000000,2906000000,2998000000,3334000000,3472000000,3687000000,3716000000,2609000000,2611000000,2735000000,..
+Uganda,UGA,Adjusted savings: net national savings (% of GNI),NY.ADJ.NNAT.GN.ZS,17.471935,12.332377,11.006722,7.904184,8.3731325,10.450898,11.59751,14.7833,14.852844,11.076464,9.7190307,14.386223,8.3771656,7.630229,3.5430828,2.4097529,7.7644526,12.245654,5.368577,14.247483,15.209874,14.362061,15.971053,16.381602,..
+Uganda,UGA,Adjusted savings: net national savings (current US$),NY.ADJ.NNAT.CD,1092000000,811000000,658700000,481000000,473900000,631700000,750300000,1142000000,1332000000,1078000000,1135000000,2040000000,2071000000,2001000000,972200000,644100000,2195000000,3902000000,1705000000,4088000000,4566000000,4596000000,5500000000,6057000000,..
+Uganda,UGA,Adjusted savings: particulate emission damage (% of GNI),NY.ADJ.DPEM.GN.ZS,2.0090847,2.0464245,2.0148726,2.0826589,2.103982,1.9686129,1.8863194,1.8787672,1.8616895,1.7471469,1.6517812,1.5476232,1.497207,1.5036919,1.4388416,1.4615672,1.5056084,1.4819522,1.3767802,1.3440174,1.2193097,1.1298528,1.028333,0.95870709,..
+Uganda,UGA,Adjusted savings: particulate emission damage (current US$),NY.ADJ.DPEM.CD,125600000,134600000,120600000,126700000,119100000,119000000,122000000,145100000,166900000,170000000,192800000,219400000,370200000,394400000,394800000,390700000,425700000,472200000,437300000,385600000,366000000,361600000,354100000,354500000,..
+Uganda,UGA,"Agriculture, forestry, and fishing, value added (annual % growth)",NV.AGR.TOTL.KD.ZG,1.0891816574710305,1.769947271114745,5.822426355460351,-0.4383317120407355,7.856684045589347,7.066710547083275,2.139936527974882,1.5886157448124578,2.049354400060068,0.45858600264512006,0.11923778450525901,1.3458424837918983,3.3039289600511665,2.876958527100257,3.1100634952851465,0.5941486272483587,1.8620029575457693,2.697698295493794,2.345716238531608,2.809330657106827,2.758074789477405,4.389182904089168,5.315755577438523,4.822808974941935,3.818014111327713
+Uganda,UGA,"Agriculture, forestry, and fishing, value added (constant 2015 US$)",NV.AGR.TOTL.KD,4833209262.882644,4918754518.3383,5205145377.7744255,5182329574.9258175,5589488835.828873,5984481832.918434,6112545945.671077,6209650812.972903,6336908565.1369295,6365968740.817067,6373559380.905915,6459337450.783852,6672749371.44773,6864721603.481625,7078218804.12446,7120273943.9828005,7252853655.405121,7448513764.841644,7623234761.752797,7837396632.977942,8053557893.663458,8407043279.903057,8853941151.952175,9280949820.464602,9635297794.275185
+Uganda,UGA,"Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)",NV.AGR.EMPL.KD,905.07666397156,902.7232506011547,937.4563247840279,911.6312382752592,961.5400515680188,1008.8726275197799,1003.7649906730777,979.5512457151045,960.9375341756108,941.9209735978088,918.400678506466,906.9559527130835,913.2796892438222,909.2847147575927,909.3125681346642,885.3972255619641,787.0896120282406,773.9343331474574,763.5876644784635,752.1704435017084,738.1593619275204,741.101634208238,753.2478148117546,..,..
+Uganda,UGA,"Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)",SI.SPR.PC40.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,0.05,..,..
+Uganda,UGA,"Annualized average growth rate in per capita real survey mean consumption or income, total population (%)",SI.SPR.PCAP.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,-0.26,..,..
+Uganda,UGA,"Average working hours of children, study and work, ages 7-14 (hours per week)",SL.TLF.0714.SW.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10.6,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Average working hours of children, study and work, female, ages 7-14 (hours per week)",SL.TLF.0714.SW.FE.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10.5,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Average working hours of children, study and work, male, ages 7-14 (hours per week)",SL.TLF.0714.SW.MA.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10.7,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Average working hours of children, working only, ages 7-14 (hours per week)",SL.TLF.0714.WK.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,33.2,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Average working hours of children, working only, female, ages 7-14 (hours per week)",SL.TLF.0714.WK.FE.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,33.8,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Average working hours of children, working only, male, ages 7-14 (hours per week)",SL.TLF.0714.WK.MA.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,32.6,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits),per_si_allsi.ben_q1_tot,..,..,..,..,..,..,..,..,0,..,..,..,0.024305121105773,..,..,0.460287378914602,..,..,..,0.148549952765491,..,..,..,..,..
+Uganda,UGA,Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits),per_allsp.ben_q1_tot,..,..,..,..,..,..,..,..,0,..,..,..,0.124285098426065,..,..,0.890421276506836,..,..,..,0.96287810052452,..,..,..,..,..
+Uganda,UGA,Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits),per_sa_allsa.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,0.610690636586254,..,..,1.51554551528568,..,..,..,3.39534676245857,..,..,..,..,..
+Uganda,UGA,Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits),per_lm_alllm.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Child employment in agriculture (% of economically active children ages 7-14),SL.AGR.0714.ZS,..,..,..,..,..,..,..,..,..,95.48,..,..,..,..,..,95.29,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Child employment in agriculture, female (% of female economically active children ages 7-14)",SL.AGR.0714.FE.ZS,..,..,..,..,..,..,..,..,..,94.89,..,..,..,..,..,96.19,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Child employment in agriculture, male (% of male economically active children ages 7-14)",SL.AGR.0714.MA.ZS,..,..,..,..,..,..,..,..,..,96.02,..,..,..,..,..,94.36,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Child employment in manufacturing (% of economically active children ages 7-14),SL.MNF.0714.ZS,..,..,..,..,..,..,..,..,..,1.36,..,..,..,..,..,1.09,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Child employment in manufacturing, female (% of female economically active children ages 7-14)",SL.MNF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,1.71,..,..,..,..,..,0.88,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Child employment in manufacturing, male (% of male economically active children ages 7-14)",SL.MNF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,1.03,..,..,..,..,..,1.3,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Child employment in services (% of economically active children ages 7-14),SL.SRV.0714.ZS,..,..,..,..,..,..,..,..,..,2.99,..,..,..,..,..,3.14,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Child employment in services, female (% of female economically active children ages 7-14)",SL.SRV.0714.FE.ZS,..,..,..,..,..,..,..,..,..,3.32,..,..,..,..,..,2.69,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Child employment in services, male (% of male economically active children ages 7-14)",SL.SRV.0714.MA.ZS,..,..,..,..,..,..,..,..,..,2.69,..,..,..,..,..,3.61,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, female (% of female children ages 7-14)",SL.TLF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,36.49879,..,..,..,..,..,36.3,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, male (% of male children ages 7-14)",SL.TLF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,39.82124,..,..,..,..,..,37.1,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, self-employed (% of children in employment, ages 7-14)",SL.SLF.0714.ZS,..,..,..,..,..,..,..,..,..,1.4,..,..,..,..,..,11.15,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, self-employed, female (% of female children in employment, ages 7-14)",SL.SLF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,1.34,..,..,..,..,..,11.79,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, self-employed, male (% of male children in employment, ages 7-14)",SL.SLF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,1.46,..,..,..,..,..,10.5,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, study and work (% of children in employment, ages 7-14)",SL.TLF.0714.SW.ZS,..,..,..,..,..,..,..,..,..,92.26758,..,..,..,..,..,93.3810372264772,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, study and work, female (% of female children in employment, ages 7-14)",SL.TLF.0714.SW.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,93.9282268163292,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, study and work, male (% of male children in employment, ages 7-14)",SL.TLF.0714.SW.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,92.8199776562071,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, total (% of children ages 7-14)",SL.TLF.0714.ZS,..,..,..,..,..,..,..,..,..,38.17033,..,..,..,..,..,36.7,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, unpaid family workers (% of children in employment, ages 7-14)",SL.FAM.0714.ZS,..,..,..,..,..,..,..,..,..,97.07,..,..,..,..,..,85.7,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14)",SL.FAM.0714.FE.ZS,..,..,..,..,..,..,..,..,..,96.95,..,..,..,..,..,86.47,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14)",SL.FAM.0714.MA.ZS,..,..,..,..,..,..,..,..,..,97.18,..,..,..,..,..,84.9,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, wage workers (% of children in employment, ages 7-14)",SL.WAG.0714.ZS,..,..,..,..,..,..,..,..,..,1.53,..,..,..,..,..,2.98,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, wage workers, female (% of female children in employment, ages 7-14)",SL.WAG.0714.FE.ZS,..,..,..,..,..,..,..,..,..,1.71,..,..,..,..,..,1.72,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, wage workers, male (% of male children in employment, ages 7-14)",SL.WAG.0714.MA.ZS,..,..,..,..,..,..,..,..,..,1.36,..,..,..,..,..,4.29,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, work only (% of children in employment, ages 7-14)",SL.TLF.0714.WK.ZS,..,..,..,..,..,..,..,..,..,7.732421,..,..,..,..,..,6.61896277352278,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, work only, female (% of female children in employment, ages 7-14)",SL.TLF.0714.WK.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,6.07177318367076,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Children in employment, work only, male (% of male children in employment, ages 7-14)",SL.TLF.0714.WK.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,7.18002234379292,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Community health workers (per 1,000 people)",SH.MED.CMHW.P3,..,..,..,..,..,..,..,..,0.194,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Contributing family workers, female (% of female employment) (modeled ILO estimate)",SL.FAM.WORK.FE.ZS,48.0299987792969,47.25,46.1699981689453,45.4500007629395,44.2299995422363,42.6100006103516,42.8199996948242,39.5299987792969,36.8499984741211,34.3899993896484,30.3799991607666,27.7999992370605,27.8999996185303,25.2700004577637,21.9300003051758,19.6700000762939,19.1800003051758,19.0300006866455,18.3500003814697,17.4599990844727,17.5799999237061,16.5200004577637,15.8400001525879,..,..
+Uganda,UGA,"Contributing family workers, male (% of male employment) (modeled ILO estimate)",SL.FAM.WORK.MA.ZS,14.4700002670288,14.039999961853,13.5100002288818,13.0900001525879,12.4899997711182,11.710000038147,11.2600002288818,11.3900003433228,11.6199998855591,11.9799995422363,11.8800001144409,12.1899995803833,13.4399995803833,13.539999961853,13.1700000762939,13.3000001907349,12.4899997711182,12.039999961853,11.460000038147,10.8599996566772,10.6099996566772,9.89999961853027,9.43000030517578,..,..
+Uganda,UGA,"Contributing family workers, total (% of total employment) (modeled ILO estimate)",SL.FAM.WORK.ZS,30.1299991607666,29.5799999237061,28.8099994659424,28.2800006866455,27.3799991607666,26.2000007629395,26.0699996948242,24.6900005340576,23.6000003814697,22.6499996185303,20.7099990844727,19.6599998474121,20.3700008392334,19.1800003051758,17.3899993896484,16.3700008392334,15.7299995422363,15.4300003051758,14.8199996948242,14.0799999237061,14.0299997329712,13.1499996185303,12.5799999237061,..,..
+Uganda,UGA,Coverage of social insurance programs (% of population),per_si_allsi.cov_pop_tot,..,..,..,..,..,..,..,..,0.963110468060397,..,..,..,0.861091584516169,..,..,0.881115931846307,..,..,..,0.569601271182531,..,..,..,..,..
+Uganda,UGA,Coverage of social insurance programs in 2nd quintile (% of population),per_si_allsi.cov_q2_tot,..,..,..,..,..,..,..,..,0.514537885814161,..,..,..,0.10387846948866,..,..,0.978483431831308,..,..,..,0.185679512981656,..,..,..,..,..
+Uganda,UGA,Coverage of social insurance programs in 3rd quintile (% of population),per_si_allsi.cov_q3_tot,..,..,..,..,..,..,..,..,0.487759841600244,..,..,..,0.745964951191858,..,..,0.721035407398354,..,..,..,0.469023347937595,..,..,..,..,..
+Uganda,UGA,Coverage of social insurance programs in 4th quintile (% of population),per_si_allsi.cov_q4_tot,..,..,..,..,..,..,..,..,1.00761779095469,..,..,..,0.683353656336496,..,..,0.679422846599253,..,..,..,0.356207306443917,..,..,..,..,..
+Uganda,UGA,Coverage of social insurance programs in poorest quintile (% of population),per_si_allsi.cov_q1_tot,..,..,..,..,..,..,..,..,0,..,..,..,0.0090603482463608,..,..,0.0156208127748498,..,..,..,0.0274347258577449,..,..,..,..,..
+Uganda,UGA,Coverage of social insurance programs in richest quintile (% of population),per_si_allsi.cov_q5_tot,..,..,..,..,..,..,..,..,2.80394157878477,..,..,..,2.75816836870973,..,..,2.01167559205172,..,..,..,1.80904875743398,..,..,..,..,..
+Uganda,UGA,Coverage of social protection and labor programs (% of population),per_allsp.cov_pop_tot,..,..,..,..,..,..,..,..,10.5921138800537,..,..,..,7.19779980293905,..,..,60.7139317597764,..,..,..,1.18878183126531,..,..,..,..,..
+Uganda,UGA,Coverage of social safety net programs (% of population),per_sa_allsa.cov_pop_tot,..,..,..,..,..,..,..,..,9.84115656062756,..,..,..,6.46920982732836,..,..,60.472307628686,..,..,..,0.64220113605108,..,..,..,..,..
+Uganda,UGA,Coverage of social safety net programs in 2nd quintile (% of population),per_sa_allsa.cov_q2_tot,..,..,..,..,..,..,..,..,9.43746273999006,..,..,..,5.79899248631246,..,..,71.8811420243086,..,..,..,0.650277951503752,..,..,..,..,..
+Uganda,UGA,Coverage of social safety net programs in 3rd quintile (% of population),per_sa_allsa.cov_q3_tot,..,..,..,..,..,..,..,..,8.8659466944775,..,..,..,5.53506205934488,..,..,63.4294304393803,..,..,..,0.509347351393551,..,..,..,..,..
+Uganda,UGA,Coverage of social safety net programs in 4th quintile (% of population),per_sa_allsa.cov_q4_tot,..,..,..,..,..,..,..,..,8.41205219309416,..,..,..,9.28860209860811,..,..,56.4987350493327,..,..,..,0.465479230678406,..,..,..,..,..
+Uganda,UGA,Coverage of social safety net programs in poorest quintile (% of population),per_sa_allsa.cov_q1_tot,..,..,..,..,..,..,..,..,13.0360788441012,..,..,..,5.10232647837888,..,..,75.68675157312,..,..,..,0.455521668202752,..,..,..,..,..
+Uganda,UGA,Coverage of social safety net programs in richest quintile (% of population),per_sa_allsa.cov_q5_tot,..,..,..,..,..,..,..,..,9.45624457909354,..,..,..,6.62643632733282,..,..,34.8991498072085,..,..,..,1.13007345086202,..,..,..,..,..
+Uganda,UGA,Coverage of unemployment benefits and ALMP (% of population),per_lm_alllm.cov_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Coverage of unemployment benefits and ALMP in 2nd quintile (% of population),per_lm_alllm.cov_q2_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Coverage of unemployment benefits and ALMP in 3rd quintile (% of population),per_lm_alllm.cov_q3_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Coverage of unemployment benefits and ALMP in 4th quintile (% of population),per_lm_alllm.cov_q4_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Coverage of unemployment benefits and ALMP in poorest quintile (% of population),per_lm_alllm.cov_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Coverage of unemployment benefits and ALMP in richest quintile (% of population),per_lm_alllm.cov_q5_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Current health expenditure (% of GDP),SH.XPD.CHEX.GD.ZS,..,..,..,5.0709548,5.03950405,4.75769854,4.29922581,4.70028543,5.80522776,6.46337509,6.11315584,5.45659018,5.78845501,6.80890226,6.69590998,6.10853958,5.78252459,5.33653069,5.11239147,4.9682045,4.0002389,4.03115654,3.82522416,..,..
+Uganda,UGA,Current health expenditure per capita (current US$),SH.XPD.CHEX.PC.CD,..,..,..,16.63032341,16.18933678,15.92738056,14.43743706,18.83850098,26.12890434,31.8495903,36.30623245,40.19852066,44.42363358,51.82595825,55.00610352,54.68679047,52.37650299,50.24546432,39.37041855,38.24341202,30.68274689,32.0545311,32.40844345,..,..
+Uganda,UGA,"Current health expenditure per capita, PPP (current international $)",SH.XPD.CHEX.PP.CD,..,..,..,48.75408554,49.53538132,52.34505081,48.97396469,52.33834839,74.92816925,94.51382446,97.00923157,102.76470184,117.88221741,141.24189758,162.08204651,136.51908875,130.02079773,121.65574646,113.36191559,107.92300415,87.20411682,92.1367569,92.3787384,..,..
+Uganda,UGA,Domestic general government health expenditure (% of current health expenditure),SH.XPD.GHED.CH.ZS,..,..,..,24.78430367,26.53934669,30.53055382,33.96677399,28.94309998,17.19150734,14.61253929,14.92760944,16.36199188,14.00690651,15.62244892,13.56997776,15.1402874,16.84941292,17.81628418,15.15355301,15.6786232,15.97236443,16.77466774,15.11674786,..,..
+Uganda,UGA,Domestic general government health expenditure (% of GDP),SH.XPD.GHED.GD.ZS,..,..,..,1.25680089,1.33745134,1.45255184,1.46030819,1.36040831,0.99800611,0.94446313,0.91254807,0.89280677,0.81078357,1.06371725,0.90863341,0.92485046,0.97432137,0.95077145,0.77470893,0.77894604,0.63893265,0.67621309,0.57824951,..,..
+Uganda,UGA,Domestic general government health expenditure (% of general government expenditure),SH.XPD.GHED.GE.ZS,..,..,..,8.25269794,8.25269794,8.6661396,8.87241268,8.72451782,6.89650869,6.89650869,6.89650869,6.89650869,6.89650869,6.89650869,6.89701271,7.05044508,7.32427692,7.00898075,5.0845356,4.87623453,4.1288538,4.16571712,3.14519548,..,..
+Uganda,UGA,Domestic general government health expenditure per capita (current US$),SH.XPD.GHED.PC.CD,..,..,..,4.12171013,4.29654422,4.86271749,4.90393166,5.45244608,4.4919521,4.65403401,5.41965247,6.57727829,6.2223775,8.09648391,7.46431583,8.27973695,8.82513294,8.95187458,5.96601784,5.99604044,4.9007599,5.37704109,4.89910268,..,..
+Uganda,UGA,"Domestic general government health expenditure per capita, PPP (current international $)",SH.XPD.GHED.PP.CD,..,..,..,12.08336064,13.1463662,15.98123475,16.63487553,15.14834011,12.88127969,13.81087037,14.48115828,16.81435159,16.51165295,22.06544368,21.99449903,20.66938332,21.9077415,21.67453544,17.17835778,16.92083947,13.92855861,15.45563456,13.96466147,..,..
+Uganda,UGA,Domestic private health expenditure (% of current health expenditure),SH.XPD.PVTD.CH.ZS,..,..,..,43.67525101,44.05714798,45.26638794,47.10068512,40.19876862,50.22623062,55.57507706,56.09165573,54.3511734,44.22179413,38.74053955,36.24131393,38.84606934,45.71915817,46.20917892,41.92140579,43.05946732,40.88721466,39.71256638,42.86341858,..,..
+Uganda,UGA,Domestic private health expenditure per capita (current US$),SH.XPD.PVTD.PC.CD,..,..,..,7.26333607,7.13256066,7.20975016,6.80013183,7.57284479,13.12356238,17.70043467,20.36476673,21.8483672,19.64492868,20.0776561,19.93493362,21.24366834,23.94609517,23.21801449,16.50463554,16.46741007,12.54532128,12.72967674,13.89136746,..,..
+Uganda,UGA,"Domestic private health expenditure per capita, PPP (current international $)",SH.XPD.PVTD.PP.CD,..,..,..,21.29346958,21.82387742,23.69471597,23.06707237,21.03936962,37.63358866,52.52613282,54.41408135,55.8538215,52.12963126,54.71787446,58.74066533,53.0323036,59.44441478,56.21612253,47.52291095,46.47106786,35.65533639,36.58986951,39.59668872,..,..
+Uganda,UGA,"Employers, female (% of female employment) (modeled ILO estimate)",SL.EMP.MPYR.FE.ZS,0.150000005960464,0.159999996423721,0.159999996423721,0.159999996423721,0.159999996423721,0.170000001788139,0.189999997615814,0.259999990463257,0.349999994039536,0.479999989271164,0.660000026226044,0.899999976158142,1.29999995231628,1.66999995708466,1.95000004768372,2.59999990463257,2.79999995231628,2.98000001907349,3.04999995231628,3.22000002861023,3.25999999046326,3.28999996185303,3.36999988555908,..,..
+Uganda,UGA,"Employers, male (% of male employment) (modeled ILO estimate)",SL.EMP.MPYR.MA.ZS,0.349999994039536,0.349999994039536,0.349999994039536,0.349999994039536,0.360000014305115,0.360000014305115,0.400000005960464,0.540000021457672,0.689999997615814,0.899999976158142,1.16999995708466,1.55999994277954,2.25999999046326,2.79999995231628,3.03999996185303,3.96000003814697,4.28000020980835,4.55000019073486,4.59999990463257,4.86999988555908,4.94000005722046,4.94000005722046,5.01999998092651,..,..
+Uganda,UGA,"Employers, total (% of total employment) (modeled ILO estimate)",SL.EMP.MPYR.ZS,0.259999990463257,0.259999990463257,0.259999990463257,0.259999990463257,0.259999990463257,0.270000010728836,0.300000011920929,0.409999996423721,0.529999971389771,0.699999988079071,0.930000007152557,1.25,1.79999995231628,2.25999999046326,2.51999998092651,3.29999995231628,3.55999994277954,3.78999996185303,3.83999991416931,4.05999994277954,4.11999988555908,4.13000011444092,4.21000003814697,..,..
+Uganda,UGA,Employment in agriculture (% of total employment) (modeled ILO estimate),SL.AGR.EMPL.ZS,70.879997253418,70.5999984741211,70.1699981689453,69.9499969482422,69.6100006103516,69.0800018310547,68.6999969482422,68.5100021362305,68.3399963378906,67.9199981689453,67.6100006103516,67.2600021362305,67.0599975585938,66.8399963378906,66.4499969482422,66.1399993896484,71.9199981689453,72.3899993896484,72.2600021362305,72.4100036621094,72.6800003051758,72.4499969482422,72.129997253418,..,..
+Uganda,UGA,"Employment in agriculture, female (% of female employment) (modeled ILO estimate)",SL.AGR.EMPL.FE.ZS,78.2900009155273,78.0100021362305,77.5800018310547,77.3399963378906,77.0599975585938,76.620002746582,76.0100021362305,75.6100006103516,75.0999984741211,74.5500030517578,74.129997253418,73.4599990844727,72.7300033569336,72.5,71.7200012207031,71.1699981689453,77.1600036621094,77.4300003051758,77.2699966430664,77.3499984741211,77.3399963378906,77.1699981689453,76.7699966430664,..,..
+Uganda,UGA,"Employment in agriculture, male (% of male employment) (modeled ILO estimate)",SL.AGR.EMPL.MA.ZS,64.3899993896484,64.0899963378906,63.6399993896484,63.4099998474121,63.0200004577637,62.4300003051758,62.2299995422363,62.1500015258789,62.2299995422363,61.8899993896484,61.6500015258789,61.5800018310547,61.8400001525879,61.6100006103516,61.5499992370605,61.439998626709,66.9800033569336,67.629997253418,67.4899978637695,67.6900024414063,68.1999969482422,67.9000015258789,67.6600036621094,..,..
+Uganda,UGA,Employment in industry (% of total employment) (modeled ILO estimate),SL.IND.EMPL.ZS,7.8899998664856,7.88000011444092,7.88000011444092,7.84999990463257,7.84000015258789,7.82000017166138,7.80000019073486,7.76999998092651,7.75,7.76000022888184,7.78000020980835,7.82000017166138,7.80000019073486,7.88000011444092,7.94000005722046,8.02000045776367,7,6.84000015258789,6.80000019073486,6.73000001907349,6.59000015258789,6.53999996185303,6.51000022888184,..,..
+Uganda,UGA,"Employment in industry, female (% of female employment) (modeled ILO estimate)",SL.IND.EMPL.FE.ZS,5.57000017166138,5.53999996185303,5.48999977111816,5.44000005722046,5.3600001335144,5.26999998092651,5.21999979019165,5.15999984741211,5.13000011444092,5.05000019073486,4.98000001907349,4.96999979019165,4.92000007629395,4.88000011444092,4.90000009536743,4.86999988555908,3.53999996185303,3.5,3.49000000953674,3.36999988555908,3.29999995231628,3.23000001907349,3.19000005722046,..,..
+Uganda,UGA,"Employment in industry, male (% of male employment) (modeled ILO estimate)",SL.IND.EMPL.MA.ZS,9.92000007629395,9.94999980926514,9.98999977111816,9.98999977111816,10.0299997329712,10.0799999237061,10.0799999237061,10.1099996566772,10.1199998855591,10.2200002670288,10.3400001525879,10.4399995803833,10.4499998092651,10.6400003433228,10.7600002288818,10.9499998092651,10.2700004577637,10,9.94999980926514,9.93000030517578,9.73999977111816,9.73999977111816,9.69999980926514,..,..
+Uganda,UGA,Employment in services (% of total employment) (modeled ILO estimate),SL.SRV.EMPL.ZS,21.2299995422363,21.5100002288818,21.9500007629395,22.2000007629395,22.5499992370605,23.0900001525879,23.5,23.7199993133545,23.9099998474121,24.3199996948242,24.6200008392334,24.9200000762939,25.1399993896484,25.2800006866455,25.6100006103516,25.8500003814697,21.0799999237061,20.7700004577637,20.9400005340576,20.8600006103516,20.7399997711182,21.0100002288818,21.3600006103516,..,..
+Uganda,UGA,"Employment in services, female (% of female employment) (modeled ILO estimate)",SL.SRV.EMPL.FE.ZS,16.1399993896484,16.4500007629395,16.9300003051758,17.2199993133545,17.5699996948242,18.1100006103516,18.7700004577637,19.2299995422363,19.7700004577637,20.3999996185303,20.8899993896484,21.5799999237061,22.3500003814697,22.6200008392334,23.3799991607666,23.9599990844727,19.3099994659424,19.0699996948242,19.2399997711182,19.2800006866455,19.3700008392334,19.6000003814697,20.0400009155273,..,..
+Uganda,UGA,"Employment in services, male (% of male employment) (modeled ILO estimate)",SL.SRV.EMPL.MA.ZS,25.6900005340576,25.9599990844727,26.3700008392334,26.5900001525879,26.9500007629395,27.4899997711182,27.6900005340576,27.7399997711182,27.6499996185303,27.8899993896484,28.0200004577637,27.9799995422363,27.7099990844727,27.75,27.6900005340576,27.6100006103516,22.75,22.3799991607666,22.5599994659424,22.3799991607666,22.0499992370605,22.3600006103516,22.6399993896484,..,..
+Uganda,UGA,"Employment to population ratio, 15+, female (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.FE.ZS,61.4500007629395,61.3930015563965,61.3540000915527,61.2550010681152,61.2000007629395,61.1570014953613,61.2159996032715,62.1749992370605,63.1380004882813,63.0050010681152,62.8320007324219,62.6679992675781,62.4780006408691,62.6450004577637,62.8530006408691,62.9850006103516,64.2470016479492,64.3290023803711,64.4089965820313,64.4970016479492,64.5950012207031,64.7220001220703,64.8560028076172,60.9309997558594,61.8009986877441
+Uganda,UGA,"Employment to population ratio, 15+, female (%) (national estimate)",SL.EMP.TOTL.SP.FE.NE.ZS,60.9000015258789,..,..,..,..,..,35.7099990844727,..,79,..,..,..,75.4000015258789,..,..,62.9000015258789,81.7099990844727,..,..,..,64.5500030517578,..,..,..,..
+Uganda,UGA,"Employment to population ratio, 15+, male (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.MA.ZS,74.995002746582,74.7720031738281,74.5699996948242,74.3089981079102,74.0930023193359,73.8889999389648,73.7559967041016,74.0370025634766,74.3170013427734,73.9889984130859,73.6289978027344,73.2900009155273,72.9339981079102,72.8679962158203,72.8320007324219,72.7170028686523,73.6340026855469,73.4240036010742,73.1900024414063,72.9120025634766,72.5950012207031,72.2590026855469,71.879997253418,69.2750015258789,69.7320022583008
+Uganda,UGA,"Employment to population ratio, 15+, male (%) (national estimate)",SL.EMP.TOTL.SP.MA.NE.ZS,58.7000007629395,..,..,..,..,..,37.8499984741211,..,82,..,..,..,75.5,..,..,72.629997253418,86.9700012207031,..,..,..,71.0599975585938,..,..,..,..
+Uganda,UGA,"Employment to population ratio, 15+, total (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.ZS,68.0260009765625,67.8789978027344,67.7529983520508,67.5699996948242,67.4349975585938,67.3140029907227,67.2819976806641,67.9130020141602,68.5439987182617,68.3109970092773,68.0400009155273,67.7829971313477,67.5039978027344,67.5510025024414,67.6389999389648,67.6500015258789,68.745002746582,68.6869964599609,68.6169967651367,68.5350036621094,68.4400024414063,68.3499984741211,68.2429962158203,64.9609985351563,65.6370010375977
+Uganda,UGA,"Employment to population ratio, 15+, total (%) (national estimate)",SL.EMP.TOTL.SP.NE.ZS,59.9000015258789,..,..,..,..,77.5,36.75,..,80.4000015258789,..,..,..,75.4000015258789,..,..,67.6500015258789,84.2099990844727,..,..,..,67.6900024414063,..,..,..,..
+Uganda,UGA,"Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)",SL.EMP.1524.SP.FE.ZS,50.6529998779297,50.3009986877441,49.9729995727539,49.601001739502,49.2620010375977,48.9370002746582,48.7599983215332,49.6339988708496,50.4910011291504,50.0390014648438,49.560001373291,49.0880012512207,48.5989990234375,48.5060005187988,48.4269981384277,48.2939987182617,49.4420013427734,49.185001373291,48.9020004272461,48.5620002746582,48.1730003356934,47.7760009765625,47.3409996032715,42.9150009155273,44.4850006103516
+Uganda,UGA,"Employment to population ratio, ages 15-24, female (%) (national estimate)",SL.EMP.1524.SP.FE.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,48.1199989318848,..,..,..,..,50.9700012207031,..,..,..,..
+Uganda,UGA,"Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)",SL.EMP.1524.SP.MA.ZS,55.0309982299805,54.9039993286133,54.798999786377,54.6469993591309,54.5,54.3660011291504,54.3520011901855,54.8650016784668,55.3709983825684,55.0250015258789,54.6619987487793,54.3190002441406,53.9669990539551,53.9819984436035,54.0060005187988,53.9679985046387,54.9790000915527,54.4749984741211,53.9309997558594,53.2890014648438,52.5470008850098,51.7719993591309,50.9129981994629,47.3889999389648,48.6629981994629
+Uganda,UGA,"Employment to population ratio, ages 15-24, male (%) (national estimate)",SL.EMP.1524.SP.MA.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,53.5800018310547,..,..,..,..,53.9599990844727,..,..,..,..
+Uganda,UGA,"Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)",SL.EMP.1524.SP.ZS,52.8279991149902,52.5849990844727,52.3660011291504,52.0999984741211,51.8540000915527,51.6220016479492,51.523998260498,52.2190017700195,52.9010009765625,52.4949989318848,52.0660018920898,51.6500015258789,51.2220001220703,51.1759986877441,51.1459999084473,51.0589981079102,52.1399993896484,51.7649993896484,51.3580017089844,50.8769989013672,50.3230018615723,49.7470016479492,49.109001159668,45.1370010375977,46.5660018920898
+Uganda,UGA,"Employment to population ratio, ages 15-24, total (%) (national estimate)",SL.EMP.1524.SP.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,50.810001373291,..,..,..,..,52.4099998474121,..,..,..,..
+Uganda,UGA,Exports of goods and services (annual % growth),NE.EXP.GNFS.KD.ZG,29.4956414134914,-14.905425411063987,26.26666665223874,-21.606199188175466,29.060055082046375,16.685866968485726,3.3016414972984194,23.694138151641212,14.78217604228422,7.763543790115676,12.138573115915193,84.44024270668834,-8.564912902084274,-8.960843393050695,5.489204278762344,13.987101700435801,6.946943691756061,0.0022858601009119184,-2.3698752291894323,4.013332900409793,32.85466364539542,9.419934119439219,4.317491782156949,-1.1700194157365758,-0.6998285702998714
+Uganda,UGA,Exports of goods and services (constant 2015 US$),NE.EXP.GNFS.KD,962356725.103136,818913361.25453,1034014604.025901,810603349.045241,1046165128.7747008,1220726850.4327347,1261030874.6952858,1559821272.2804363,1790396798.6939282,1929395038.1773605,2163596065.5813594,3990541834.550619,3648755402.1001225,3321796144.7224536,3504136320.830321,3994263431.746766,4271742663.250617,4271840309.31177,4170603023.990861,4337983207.298172,5763212999.049723,6306103866.723164,6578369382.943217,6501401183.923911,6455902520.968997
+Uganda,UGA,External health expenditure (% of current health expenditure),SH.XPD.EHEX.CH.ZS,..,..,..,31.54044151,29.40350533,24.20305634,18.9325428,30.85813522,32.58226776,29.81238365,28.98073578,29.28683472,41.77129745,45.63701248,50.18870926,46.01364517,37.431427,35.9745369,42.92503738,41.26190948,43.14041901,43.51276779,42.01983261,..,..
+Uganda,UGA,External health expenditure per capita (current US$),SH.XPD.EHEX.PC.CD,..,..,..,5.24527785,4.76023286,3.85491269,2.73337387,5.81320988,8.51338912,9.49512195,10.52181345,11.77287372,18.55633043,23.6518187,27.60685191,25.16338422,19.60527239,18.07557388,16.89976907,15.77996221,13.2366662,13.94781313,13.61797324,..,..
+Uganda,UGA,"External health expenditure per capita, PPP (current international $)",SH.XPD.EHEX.PP.CD,..,..,..,15.37725408,14.56513912,12.66910215,9.27201627,16.15063755,24.41329382,28.17682423,28.11398827,30.09652763,49.24093533,64.45858222,81.34688981,62.81741038,48.66864245,43.76509785,48.66064559,44.53108846,37.62022317,40.09125077,38.81739138,..,..
+Uganda,UGA,Female share of employment in senior and middle management (%),SL.EMP.SMGT.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,31.5,..,..,..,..,25.3999996185303,..,..,..,..
+Uganda,UGA,Final consumption expenditure (annual % growth),NE.CON.TOTL.KD.ZG,3.0432537075953263,7.015809148106044,6.606988196678614,0.9022998596066998,3.8713312623901146,8.522331231752744,3.8552088200260073,2.6630270545135346,5.242964495885346,11.082716997663923,7.663421427941273,0.84309911403912,16.519976710138778,5.23457781138201,10.017380922651611,3.580395262246185,0.12379641718926848,2.9600066515616703,11.357783348090194,0.953890254516665,1.134760390627747,9.803452268812237,6.992365559558493,3.2252449698356003,6.610347191233032
+Uganda,UGA,Final consumption expenditure (constant 2015 US$),NE.CON.TOTL.KD,9853965209.857328,10545300602.501686,11242027368.613253,11343464165.777197,11782607240.26495,12786760057.01681,13279716358.530485,13633358797.92081,14348150959.29246,15938315924.508444,17159736242.3202,17304409826.55065,20163094299.723785,21218547160.025158,23344089855.29735,24179900542.49091,24209834393.042442,24926447101.40856,27757538959.562855,28022315418.591793,28340301554.498745,31118629490.23148,33294557821.313038,34368388872.67394,36640258701.19079
+Uganda,UGA,GDP (constant 2015 US$),NY.GDP.MKTP.KD,10452668548.4275,10965399690.913668,11848547321.286543,12220817699.079922,12854303475.460258,13976829405.107397,14881585726.567234,15894609992.306484,16901146520.038298,18723891970.577995,20299025520.45422,22066817291.41839,23567695697.643364,24896350853.11454,27234530355.52049,28279643367.39322,29294007543.00416,30789849595.778374,32387183844.66986,33935615198.680294,34998276925.53742,37204541627.54605,39600047203.88117,40768765939.9636,42146600779.21149
+Uganda,UGA,GDP growth (annual %),NY.GDP.MKTP.KD.ZG,5.100001863416111,4.905265484222227,8.053948376406964,3.1419073385019516,5.18366112627659,8.732685763877583,6.473258671449628,6.807233344298496,6.332565116218717,10.78474438629722,8.412425965452755,8.708751901330743,6.801517347989531,5.637611638052647,9.39165549281067,3.837455605915679,3.586905826332014,5.106307324384645,5.187859862460982,4.781000291463329,3.1314055178774254,6.303923780884119,6.43874503364799,2.9513064215940688,3.3796334215190598
+Uganda,UGA,GDP per capita (constant 2015 US$),NY.GDP.PCAP.KD,482.6820289573839,491.9251927226108,516.2224527261561,516.7330037434388,527.0538840813991,555.357589572715,572.7972442830874,592.6114689558852,610.4893198721129,655.3351540506045,688.4214508332154,725.1252029022858,750.2984199482681,767.738526705198,813.5351387977457,818.3074990492472,820.6864348838589,834.1526237405595,847.267628934983,855.8971759305117,850.1621976914245,870.7087403137532,894.520366857752,891.2959038928664,894.3854184110407
+Uganda,UGA,GDP per capita growth (annual %),NY.GDP.PCAP.KD.ZG,2.0784618395681633,1.914959167879644,4.939218475286793,0.09890135823933122,1.9973332965363966,5.370173021425757,3.1402568431252007,3.4592039103814614,3.0167912456582116,7.34588349356973,5.048759642772964,5.331581696742148,3.471568350572767,2.324422695456633,5.965131421642582,0.5866200516616971,0.29071416764180924,1.6408445764802195,1.572254863338145,1.0185148943287317,-0.6700545813639991,2.416779136748488,2.734740728043988,-0.36046836766976753,0.3466317420152336
+Uganda,UGA,"GDP per capita, PPP (constant 2017 international $)",NY.GDP.PCAP.PP.KD,1177.8898777149561,1200.445987915785,1259.7386379367606,1260.9845365599458,1286.1706005728327,1355.2401871743045,1397.7982098928283,1446.150900228683,1489.7782539857894,1599.2156288361227,1679.956182105719,1769.5244184241556,1830.954668089825,1873.5137939384276,1985.271353949457,1996.9173537916204,2002.722675455191,2035.5842418573363,2067.5888140972834,2088.647514122339,2074.652435765417,2124.7922029930405,2182.8997607545934,2175.0310976191345,2182.570445802185
+Uganda,UGA,"GDP per capita, PPP (current international $)",NY.GDP.PCAP.PP.CD,1016.0168220912497,1047.1277222290014,1114.332969146699,1140.705772596713,1189.7023322399832,1273.1290214732849,1339.024043920322,1422.5318914393588,1511.4005395929935,1672.4875701821911,1804.4088787244677,1937.0648844721552,2017.1581448094612,2088.850951610929,2259.4428885965053,2013.8807107731927,2014.27496126568,2088.407330590071,2128.744955489978,2092.475565899197,2074.652435765417,2175.55372017659,2275.028150358042,2294.1479835326704,2397.761004793073
+Uganda,UGA,GDP per person employed (constant 2017 PPP $),SL.GDP.PCAP.EM.KD,3421.7002904954475,3503.4633912941513,3689.516060913508,3707.132214778967,3794.4459770912504,4008.395698221528,4136.395880575276,4236.739548720389,4318.199894747281,4646.226584932282,4891.170105069474,5158.856941071688,5344.809440746459,5448.085353322316,5747.352027656384,5757.969234965533,5657.717065385672,5727.450176797216,5793.285305565991,5824.235637570382,5754.25424769784,5857.781256083588,5978.910421218166,6202.214476428505,6106.749840879842
+Uganda,UGA,"GDP, PPP (constant 2017 international $)",NY.GDP.MKTP.PP.KD,25507667034.74944,26758885821.635338,28914032671.81153,29822484786.184032,31368381336.9352,34107683508.304573,36315562088.63649,38787647140.30357,41243900152.51244,45691949358.90056,49535750770.890236,53849696407.9886,57512292851.01763,60754612566.097534,66460476474.29727,69010867754.47847,71486222590.76614,75136528810.84433,79034506631.06856,82813146623.45656,85406362066.3514,90790314035.04012,96636070871.00467,99488097436.19682,102850430427.58398
+Uganda,UGA,"GDP, PPP (current international $)",NY.GDP.MKTP.PP.CD,22002242560.98027,23341301018.001835,25576622727.040512,26977872894.130104,29015619248.740314,32041170370.092766,34788577107.20199,38154154619.86247,41842504264.41079,47785436799.27122,53205404675.04403,58948243304.99736,63361148133.791885,67737601230.39526,75638854428.5666,69597099319.39754,71898575876.12209,77086309835.29533,81372227472.59952,82964925710.61017,85406362066.3514,92959304527.14456,100714556629.72441,104936622914.76788,112990969835.47954
+Uganda,UGA,General government final consumption expenditure (annual % growth),NE.CON.GOVT.KD.ZG,7.000048361176141,7.999987085559596,0.8520685752707635,-4.609404288598881,12.541468918559048,9.632009262931263,5.086310083513098,3.6938798151227275,4.1233755678587585,4.895302698599096,0.9079539465459874,-1.3072194212979582,-0.35460299372964244,18.405846820532673,49.23481639164004,-27.07553874665662,0.14443706844011217,7.527744505116345,15.484794224386306,-5.053855918272163,12.873426553231738,15.900213789311834,7.928306255929712,12.739407860040359,6.532580354937949
+Uganda,UGA,General government final consumption expenditure (constant 2015 US$),NE.CON.GOVT.KD,1195341149.2523313,1290968286.8208976,1301968221.9096098,1241955242.8527136,1397714673.6175013,1532342680.4496884,1610282380.7193758,1669764276.5472465,1738614928.767229,1823725392.2934182,1840283978.9669077,1816227429.3868175,1809787032.549273,2142893661.538156,3197943421.2645597,2332083011.1439176,2335451403.4788036,2511258218.173842,2900121385.7010517,2753553429.4127226,3108030107.752163,3602213539.520936,3887808060.926721,4383091786.623702,4669420779.6155815
+Uganda,UGA,Gini index,SI.POV.GINI,..,..,43,..,..,45.2,..,..,42.9,..,..,..,44.2,..,..,41,..,..,..,42.8,..,..,42.7,..,..
+Uganda,UGA,GNI (constant 2015 US$),NY.GNP.MKTP.KD,10419206158.716291,10946893182.43079,11816005435.4121,12007275417.553127,12465817958.457397,13686288347.460379,14586208554.953781,15481416636.786186,16424036875.447706,18276204286.123146,19920922128.356197,21682762731.049488,23195128803.54336,24486818550.457222,26822667197.93766,27688745776.585052,28653385968.66278,30066847498.93458,31759208216.18977,33324358712.021496,34162627157.942867,36128700840.3767,38534703930.12345,40047587017.780655,41405419203.4562
+Uganda,UGA,GNI growth (annual %),NY.GNP.MKTP.KD.ZG,5.648923727307405,5.064560732134666,7.9393508139477404,1.6187364095805066,3.818872516523925,9.790535952556212,6.5753415728698315,6.137359674103763,6.088720824305653,11.277175183673904,8.999231002697101,8.84417192809272,6.974969431954264,5.568797474047813,9.539208381306125,3.228905508375334,3.4838710278219764,4.9329651016381035,5.628660328673149,4.92817857793402,2.515482602877441,5.755042413290283,6.65953392671635,3.926027537153459,3.390546813900869
+Uganda,UGA,GNI per capita (constant 2015 US$),NY.GNP.PCAP.KD,481.1368068846914,491.09496144890664,514.8046542664024,507.70379250106214,511.1251485387371,543.8131844168652,561.4280775132942,577.2060502953319,593.2555575302978,639.6661105568804,675.5984468180327,712.5050031999323,738.4374236270954,755.1096186160038,801.2321856461448,801.2091246657152,802.739097525387,814.5651913896439,830.8394200384307,840.4805495444128,829.8629742630812,845.5305245477291,870.4554648346607,875.529328562573,878.6569377863965
+Uganda,UGA,GNI per capita growth (annual %),NY.GNP.PCAP.KD.ZG,2.6116026439703717,2.069713732502265,4.82792426693679,-1.379331306835013,0.6738882175413039,6.395309636315162,3.2391441769322995,2.810328413199855,2.7805507628955013,7.823028783714747,5.617358129207489,5.462794734908556,3.6396123972039334,2.2577667999296125,6.108062444586054,-0.002878189474003534,0.19095799243551426,1.4732176245947812,1.9979037676558562,1.1604082899119277,-1.2632743597799134,1.887968347854141,2.9478463004353017,0.5828975671806376,0.357224952013695
+Uganda,UGA,"GNI per capita, Atlas method (current US$)",NY.GNP.PCAP.CD,300,290,290,270,250,250,260,280,310,350,390,430,550,680,850,830,800,820,830,800,740,750,780,800,840
+Uganda,UGA,"GNI per capita, PPP (constant 2017 international $)",NY.GNP.PCAP.PP.KD,1174.5358860463439,1198.845416573012,1256.7247653627999,1239.390367233402,1247.7424728875294,1327.539467492503,1370.5403848502644,1409.05707070009,1448.2366178290742,1561.53258529814,1649.2494629186085,1739.3445757444342,1802.6499765533233,1843.3496092428832,1955.9425544474711,1955.8862587147519,1959.6211798487157,1988.4906644455384,2028.2187943499807,2051.75441337717,2025.8351259473238,2064.08225190492,2124.928224205641,2137.314379128871,2144.949399394095
+Uganda,UGA,"GNI per capita, PPP (current international $)",NY.GNP.PCAP.PP.CD,1010,1050,1110,1130,1170,1260,1320,1400,1480,1650,1780,1920,1980,2050,2220,1970,1970,2040,2090,2060,2030,2110,2220,2260,2360
+Uganda,UGA,"GNI, Atlas method (current US$)",NY.GNP.ATLS.CD,6449969346.166573,6469454514.800362,6572754408.069364,6398433460.210805,6050661894.462221,6302717143.101218,6628439184.009862,7556670917.853916,8665661438.83518,10044048114.553703,11401532674.532606,13210848504.534475,17246365451.266945,21935101853.655033,28599612797.197243,28539804200.070015,28694330694.716335,30240345439.582367,31764484074.352646,31612983281.629604,30589558122.252773,32026794792.68532,34751587486.248985,36526209778.65071,39490174876.00351
+Uganda,UGA,"GNI, PPP (constant 2017 international $)",NY.GNP.MKTP.PP.KD,25435035030.400906,26723207826.75528,28844857044.86172,29311779248.138348,30431158729.94966,33410532266.184837,35607388884.00038,37792742410.368324,40093836987.58461,44615289222.53117,48630322162.18817,52931271463.39748,56623211467.914185,59776443437.86413,65478642940.33558,67592886449.045494,69947735436.9124,73398232815.40143,77529570027.82909,81350365689.50493,83396719985.80159,88196236592.2774,94069694890.22713,97762897015.73369,101077593805.67783
+Uganda,UGA,"GNI, PPP (current international $)",NY.GNP.MKTP.PP.CD,21966385384.330723,23322677659.743866,25539726527.12875,26688015523.873722,28460693338.0073,31611638583.477436,34342397048.73605,37516397573.348465,41080720137.886894,47049184547.16854,52573873295.59468,58286886293.77864,62341532650.621506,66614102246.86919,74468592859.38593,68126892521.025085,70302250671.61586,75321006669.92789,79794449795.69475,81510174709.67325,83396719985.80159,90344063119.99931,98104959292.35353,103161497425.75815,111108380628.70268
+Uganda,UGA,Gross capital formation (annual % growth),NE.GDI.TOTL.KD.ZG,-2.6570998853075736,3.7136506582276354,13.95879066130621,-6.987483129257882,3.926258859832174,6.51940502330271,13.516910856169744,10.614276529884407,12.457399698122046,20.347842324813342,15.971501466169101,6.013270228014477,2.458463912928991,9.516875477480141,8.761994043499826,3.1186187746442613,13.029707439964056,-2.1260938747790448,-0.9678984608323447,11.878110798532788,2.1042752837242773,9.748869853180679,9.689959152085393,0.1462327968942958,4.544934579266439
+Uganda,UGA,Gross capital formation (constant 2015 US$),NE.GDI.TOTL.KD,2128604375.8329146,2207653306.247096,2515815009.7935333,2340022860.4208727,2431898215.300246,2590443509.710139,2940591449.697093,3252713957.782079,3657917536.539598,4402224829.246372,5105326232.393517,5412323294.769048,5545383309.821994,6073130534.16672,6605257869.824377,6811250681.866387,7698736718.716135,7535054348.904146,7462122673.8382225,8348481872.959164,8524156913.578045,9355165877.163671,10261677629.270662,10276683567.476221,10743752112.53624
+Uganda,UGA,Gross fixed capital formation (annual % growth),NE.GDI.FTOT.KD.ZG,-1.72610664115102,1.9196797002655615,15.83584323965168,-7.949508223563541,3.829903683567366,6.549614679835145,13.320362706362772,11.09653545042653,12.887505000193315,20.174773958306474,15.929493936516522,6.04713165805974,2.5050558757070576,10.75505055360324,8.943363292327476,3.04931165589133,12.966991035339362,-2.4701409270680585,-1.0677857048215174,12.165120692137648,1.9757073346383152,9.766575939130234,9.694319707668882,-0.07332642889439,4.4125592683414965
+Uganda,UGA,Gross fixed capital formation (constant 2015 US$),NE.GDI.FTOT.KD,2072603601.4324684,2112390952.0361404,2446905871.8091693,2252388888.3068404,2338653213.3083663,2491825987.477648,2823746247.021076,3137084250.3518586,3541376139.976231,4255840771.2298346,4933774668.830689,5232126518.766882,5363194211.549679,5940008460.289769,6471244996.488471,6668573424.447679,7533286742.580832,7347203943.598949,7268751550.185117,8153003949.076762,8314083446.092024,9126084719.497257,10010796548.998037,10003455989.384773,10444864413.798834
+Uganda,UGA,Gross national expenditure (constant 2015 US$),NE.DAB.TOTL.KD,11982569585.690243,12752953908.748783,13757842378.406786,13683487026.19807,14214505455.565195,15377203566.726948,16220307808.227577,16886072755.70289,18006068495.832058,20340540753.754814,22265062474.713715,22716733121.3197,25708477609.54578,27291677694.19188,29949347725.121727,30991151224.357296,31908571111.758575,32461501450.312706,35219661633.40108,36370797291.55096,36864458468.07679,40473795367.39515,43556235450.5837,44645072440.15016,47384010813.72703
+Uganda,UGA,Gross value added at basic prices (GVA) (constant 2015 US$),NY.GDP.FCST.KD,10169319358.840414,10741403500.481047,11539502203.078812,12051385641.85342,12679222861.637064,13838288649.962713,14746970132.365326,15691999325.37689,16720660261.577421,18441325780.355537,19713420946.116478,21269356445.144653,22366751853.160866,23689181914.97405,25877763123.472607,26685748810.522705,27697299065.873413,29067677996.98415,30481476042.522923,32220767457.182026,33054502549.473076,35185276073.940216,37504382215.195694,38735040680.99136,39967254718.67016
+Uganda,UGA,"Hospital beds (per 1,000 people)",SH.MED.BEDS.ZS,..,..,..,..,..,..,..,0.7,1,1.1,..,..,0.4,0.5,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Households and NPISHs Final consumption expenditure (annual % growth),NE.CON.PRVT.KD.ZG,2.629391186357992,6.908484755724615,7.806443205854066,1.976958886951465,2.2900311915590663,8.299659773555135,3.6051330436747406,2.450634468760285,5.476439172417443,12.356463971519489,9.417547204238488,1.13328979795358,18.742287947780568,4.04111824890596,5.973229427112798,8.032206734976825,0.12177309245882384,2.512147283814656,10.933338457110082,1.597110927611638,-0.039766986970676044,9.114628618905456,6.880045213750691,2.072271230561597,6.620756244606852
+Uganda,UGA,Households and NPISHs Final consumption expenditure (constant 2015 US$),NE.CON.PRVT.KD,8516875763.682303,9105262827.480299,9816059998.851292,10010119469.34707,10239354327.507444,11089185899.699356,11488965804.843937,11770518360.961525,12415123639.27781,13949193918.784773,15262865840.697094,15435838342.145056,18328867611.3838,19069558825.245247,20208627324.615383,21831826049.629505,21858411339.35037,22407526826.096893,24857417573.861805,25254418106.25601,25244375185.09817,27545306230.383,29440435753.29944,30050521433.56703,32040093207.91684
+Uganda,UGA,Households and NPISHs Final consumption expenditure per capita (constant 2015 US$),NE.CON.PRVT.PC.KD,393.29116844109694,408.4764433794326,427.67012980455974,423.2579532885487,419.83532047542866,440.61942830194357,442.2140917951586,438.8495899801484,448.44881880352904,488.22091692966336,517.6249756916966,507.22827400588693,583.5156062547982,588.0553651699142,603.661074097516,631.7315932684045,612.3743507461163,607.0602681089113,650.2844469064887,635.2728392767467,613.2247639872302,643.2397196264674,662.0569138324425,655.3192358202408,..
+Uganda,UGA,Households and NPISHs Final consumption expenditure per capita growth (annual %),NE.CON.PRVT.PC.KD.ZG,-0.321120779338429,3.861077023042796,4.698847812699498,-1.0316775029453993,-0.808639929037966,4.95053817839306,0.36191402166730313,-0.7608309815166905,2.187361921385161,8.868815449720017,6.022695411526044,-2.0085394202466205,15.040039398124279,0.7780012850476794,2.6537822545148657,4.650046255318756,-3.064156158810931,-0.8677833470213727,7.120245067631842,-2.30846788680779,-3.4706466145503896,4.894609187678228,2.9253781493627997,-1.0176886414793813,..
+Uganda,UGA,"Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $)",NE.CON.PRVT.PP.KD,21255133358.1377,22723541005.993576,24497441328.985428,24981745672.414528,25553835440.508774,27674716841.16516,28672427202.74942,29375083586.810196,30983792171.28864,34812293287.9444,38090757441.2145,38522436109.259026,45742422009.35614,47590927372.667816,50433642651.12789,54484577092.84593,54550924647.285,55921324219.10756,62035391865.68046,63026165888.15394,63001102280.97707,68743418779.70491,73472997073.2266,74995556853.80641,79960829867.38248
+Uganda,UGA,"Households and NPISHs Final consumption expenditure, PPP (current international $)",NE.CON.PRVT.PP.CD,13823516016.537117,17874305982.398457,18086313334.93233,20396898552.575066,22624552035.367573,24281160235.675735,26087567945.526566,31405010255.830868,30354329459.24247,34930480663.53941,39698314733.11779,39953095447.25449,46233730849.14877,48919769614.94047,49215036190.716896,53298843046.9198,51049407210.56475,52844704659.24872,62331139364.986565,61551262150.56769,63001102280.97707,71214892399.32458,76066997261.06384,78543407230.64929,..
+Uganda,UGA,Imports of goods and services (annual % growth),NE.IMP.GNFS.KD.ZG,1.9574742646537118,3.093897954367037,8.868843823047683,1.844189246416292,7.069865643013813,9.413695542279129,0.5058076789665762,1.3108311703451392,12.578558755376818,19.516513811778637,16.35712534632738,17.36898068588954,16.838343541682903,-2.0807671498327096,14.752820304658982,5.959924754265586,0.9379025117747659,-6.456709381908098,14.157189733614501,-8.718115059855123,2.414037578850767,8.414283887815316,7.094081020395677,0.44132796660257156,20.57480888045393
+Uganda,UGA,Imports of goods and services (constant 2015 US$),NE.IMP.GNFS.KD,2139031454.8839414,2205210905.309863,2400787616.470611,2445062683.522856,2617925330.1353903,2864368850.2385416,2878857047.8369746,2916594003.3696995,3283459493.739354,3924276319.339152,4566175115.8296995,5359273189.782055,6261686020.814865,6131394915.068083,7035948589.0570755,7455285830.713689,7525209143.779941,7039328258.985295,8035899316.581786,7335320368.068074,7512397758.282332,8144512232.446081,8722290528.931843,8760784436.364346,10563299090.574863
+Uganda,UGA,Income share held by fourth 20%,SI.DST.04TH.20,..,..,20.3,..,..,19.1,..,..,20.4,..,..,..,19.6,..,..,20.6,..,..,..,20.4,..,..,20.3,..,..
+Uganda,UGA,Income share held by highest 10%,SI.DST.10TH.10,..,..,34.9,..,..,37.5,..,..,34.5,..,..,..,36.4,..,..,32.9,..,..,..,34.2,..,..,34.5,..,..
+Uganda,UGA,Income share held by highest 20%,SI.DST.05TH.20,..,..,49.7,..,..,52.1,..,..,49.8,..,..,..,51.2,..,..,48.3,..,..,..,49.8,..,..,49.5,..,..
+Uganda,UGA,Income share held by lowest 10%,SI.DST.FRST.10,..,..,2.3,..,..,2.4,..,..,2.4,..,..,..,2.3,..,..,2.5,..,..,..,2.5,..,..,2.4,..,..
+Uganda,UGA,Income share held by lowest 20%,SI.DST.FRST.20,..,..,5.9,..,..,5.9,..,..,6.1,..,..,..,5.9,..,..,6.4,..,..,..,6.1,..,..,6.1,..,..
+Uganda,UGA,Income share held by second 20%,SI.DST.02ND.20,..,..,10,..,..,9.6,..,..,9.9,..,..,..,9.8,..,..,10.4,..,..,..,9.8,..,..,10,..,..
+Uganda,UGA,Income share held by third 20%,SI.DST.03RD.20,..,..,14.1,..,..,13.3,..,..,13.8,..,..,..,13.5,..,..,14.3,..,..,..,13.8,..,..,14.1,..,..
+Uganda,UGA,"Industry (including construction), value added (annual % growth)",NV.IND.TOTL.KD.ZG,11.359623302845705,8.713504448868264,10.384625303652001,10.17522128134938,3.2594914777532864,7.416359808233381,9.4687888402012,8.020691577802168,11.558077322799875,14.734832422162583,9.602454645724762,8.819368629920717,5.746860454081414,7.866218658359031,11.297059972677033,3.0565898688267055,2.1425314342962167,6.341763372343777,7.753654800045595,4.527155093831041,6.848101437414172,4.842582489412649,9.038936315837944,3.248208876111235,3.3501514399735726
+Uganda,UGA,"Industry (including construction), value added (constant 2015 US$)",NV.IND.TOTL.KD,2099704915.6053894,2282662796.8397713,2519708775.237445,2776094718.763433,2866581289.5358863,3079177272.163364,3370738066.07998,3641094570.2558284,4061935096.082265,4660454425.586995,5107972448.088658,5558463367.800383,5877900500.939105,6340269006.863756,7056532998.998209,7272222271.736002,7428031919.879836,7899100127.46078,8511569083.654051,8896901016.989643,9506169823.419426,9966513938.702164,10867380786.530563,11220376013.839457,11596275602.437548
+Uganda,UGA,"Industry (including construction), value added per worker (constant 2015 US$)",NV.IND.EMPL.KD,3532.2768043878136,3753.355565344338,4041.0457724192656,4351.575248996172,4378.396763491241,4585.535462315768,4875.251423336455,5064.363900430697,5431.552039826353,6035.5126215256705,6396.317848258086,6712.790352788338,6916.559804644352,7123.5231432881765,7586.737307543573,7457.588085509787,8282.103529610402,8686.2948874352,9059.79317178187,9189.088527514425,9609.425220948273,9884.619553791239,10502.136897961216,..,..
+Uganda,UGA,International migrant stock (% of population),SM.POP.TOTL.ZS,..,..,..,2.67157473075183,..,..,..,..,2.3285014738211,..,..,..,..,1.59628750032014,..,..,..,..,1.92012616805897,..,..,..,..,..,..
+Uganda,UGA,"International migrant stock, total",SM.POP.TOTL,..,..,..,634703,..,..,..,..,652968,..,..,..,..,529160,..,..,..,..,749471,..,..,..,..,..,..
+Uganda,UGA,"Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.FE.ZS,52.7360000610352,52.6549987792969,52.576000213623,52.4990005493164,52.4129981994629,52.3279991149902,52.2439994812012,52.1609992980957,52.0779991149902,51.9879989624023,51.8979988098145,51.806999206543,51.7130012512207,51.6129989624023,51.4949989318848,51.3730010986328,51.1430015563965,50.8959999084473,50.6269989013672,50.3009986877441,49.9259986877441,49.5340003967285,49.1059989929199,45.064998626709,46.9679985046387
+Uganda,UGA,"Labor force participation rate for ages 15-24, female (%) (national estimate)",SL.TLF.ACTI.1524.FE.NE.ZS,..,..,..,..,..,..,..,..,59.9900016784668,..,..,..,..,..,..,51.2099990844727,74.5999984741211,..,..,..,54.189998626709,..,..,..,..
+Uganda,UGA,"Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.MA.ZS,57.101001739502,57.1150016784668,57.1310005187988,57.1440010070801,57.1230010986328,57.101001739502,57.0800018310547,57.060001373291,57.0419998168945,56.9830017089844,56.9280014038086,56.8730010986328,56.818000793457,56.7630004882813,56.6949996948242,56.625,56.1590003967285,55.6619987487793,55.1269989013672,54.4939994812012,53.7599983215332,52.9830017089844,52.1240005493164,49.0009994506836,50.3930015563965
+Uganda,UGA,"Labor force participation rate for ages 15-24, male (%) (national estimate)",SL.TLF.ACTI.1524.MA.NE.ZS,..,..,..,..,..,..,..,..,59.5900001525879,..,..,..,..,..,..,56.2599983215332,77.0999984741211,..,..,..,57.1500015258789,..,..,..,..
+Uganda,UGA,"Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.ZS,54.9049987792969,54.8680000305176,54.8339996337891,54.7999992370605,54.7430000305176,54.6879997253418,54.6339988708496,54.5810012817383,54.5289993286133,54.4480018615723,54.3689994812012,54.2890014648438,54.2070007324219,54.1240005493164,54.0289993286133,53.931999206543,53.5880012512207,53.2200012207031,52.8250007629395,52.3549995422363,51.8110008239746,51.2350006103516,50.5999984741211,47.0190010070801,48.673999786377
+Uganda,UGA,"Labor force participation rate for ages 15-24, total (%) (national estimate)",SL.TLF.ACTI.1524.NE.ZS,..,..,..,..,..,..,..,..,59.7999992370605,..,..,..,..,..,..,53.689998626709,75.8199996948242,..,..,..,55.6199989318848,..,..,..,..
+Uganda,UGA,"Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.FE.ZS,63.0309982299805,63.2210006713867,63.4090003967285,63.5950012207031,63.7770004272461,63.9570007324219,64.1370010375977,64.3170013427734,64.4990005493164,64.6839981079102,64.8710021972656,65.0589981079102,65.2470016479492,65.4339981079102,65.6159973144531,65.7969970703125,65.8679962158203,65.9449996948242,66.0279998779297,66.1220016479492,66.2300033569336,66.3509979248047,66.4869995117188,63.0830001831055,64.1719970703125
+Uganda,UGA,"Labor force participation rate, female (% of female population ages 15+) (national estimate)",SL.TLF.CACT.FE.NE.ZS,..,..,..,..,..,81.9000015258789,37.3800010681152,..,75.5800018310547,..,..,..,84.3300018310547,..,..,65.7200012207031,83.75,..,..,..,67.3300018310547,..,..,..,..
+Uganda,UGA,"Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.FE.ZS,64.96,65.13,65.3,65.46,65.64,65.8,65.97,66.13,66.29,66.47,66.66,66.84,67.03,67.22,67.43,67.64,67.7,67.76,67.82,67.9,67.99,68.07,68.15,..,..
+Uganda,UGA,"Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.MA.ZS,76.484001159668,76.3820037841797,76.2779998779297,76.1719970703125,76.0599975585938,75.9469985961914,75.8330001831055,75.7200012207031,75.609001159668,75.5019989013672,75.3960037231445,75.2919998168945,75.1869964599609,75.0810012817383,74.9700012207031,74.8570022583008,74.6660003662109,74.4520034790039,74.2200012207031,73.9449996948242,73.6330032348633,73.2880020141602,72.9069976806641,70.8000030517578,71.3059997558594
+Uganda,UGA,"Labor force participation rate, male (% of male population ages 15+) (national estimate)",SL.TLF.CACT.MA.NE.ZS,..,..,..,..,..,83,38.9000015258789,..,78.1900024414063,..,..,..,86.5599975585938,..,..,74.7699966430664,88.1699981689453,..,..,..,73.379997253418,..,..,..,..
+Uganda,UGA,"Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.MA.ZS,77.67,77.56,77.46,77.35,77.28,77.2,77.12,77.04,76.96,76.94,76.91,76.88,76.84,76.8,76.77,76.75,76.49,76.17,75.83,75.42,74.99,74.47,73.9,..,..
+Uganda,UGA,"Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.ZS,69.5630035400391,69.6009979248047,69.6399993896484,69.6790008544922,69.7170028686523,69.7559967041016,69.7939987182617,69.8330001831055,69.8710021972656,69.9100036621094,69.947998046875,69.9869995117188,70.0250015258789,70.0630035400391,70.1019973754883,70.1399993896484,70.0839996337891,70.0210037231445,69.9540023803711,69.8759994506836,69.7880020141602,69.6910018920898,69.5830001831055,66.8099975585938,67.6220016479492
+Uganda,UGA,"Labor force participation rate, total (% of total population ages 15+) (national estimate)",SL.TLF.CACT.NE.ZS,..,..,..,..,..,82.3000030517578,38.1199989318848,..,76.8399963378906,..,..,..,85.3899993896484,..,..,70.1399993896484,85.8499984741211,..,..,..,70.25,..,..,..,..
+Uganda,UGA,"Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.ZS,71.18,71.21,71.23,71.26,71.31,71.36,71.41,71.45,71.49,71.57,71.64,71.71,71.78,71.85,71.94,72.04,71.94,71.82,71.68,71.53,71.37,71.17,70.94,..,..
+Uganda,UGA,Labor force with advanced education (% of total working-age population with advanced education),SL.TLF.ADVN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,90.2799987792969,93.9400024414063,..,..,..,65.2799987792969,..,..,..,..
+Uganda,UGA,"Labor force with advanced education, female (% of female working-age population with advanced education)",SL.TLF.ADVN.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,89.6699981689453,88.5899963378906,..,..,..,51.7700004577637,..,..,..,..
+Uganda,UGA,"Labor force with advanced education, male (% of male working-age population with advanced education)",SL.TLF.ADVN.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,90.6800003051758,97.6100006103516,..,..,..,71.1600036621094,..,..,..,..
+Uganda,UGA,Labor force with basic education (% of total working-age population with basic education),SL.TLF.BASC.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,67.1699981689453,84.7900009155273,..,..,..,36.1500015258789,..,..,..,..
+Uganda,UGA,"Labor force with basic education, female (% of female working-age population with basic education)",SL.TLF.BASC.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,59.5999984741211,82.2099990844727,..,..,..,34.3400001525879,..,..,..,..
+Uganda,UGA,"Labor force with basic education, male (% of male working-age population with basic education)",SL.TLF.BASC.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,73.5500030517578,87.3899993896484,..,..,..,37.6500015258789,..,..,..,..
+Uganda,UGA,Labor force with intermediate education (% of total working-age population with intermediate education),SL.TLF.INTM.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,59.0200004577637,80.1999969482422,..,..,..,24.9300003051758,..,..,..,..
+Uganda,UGA,"Labor force with intermediate education, female (% of female working-age population with intermediate education)",SL.TLF.INTM.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,43.5900001525879,71.7900009155273,..,..,..,21.4799995422363,..,..,..,..
+Uganda,UGA,"Labor force with intermediate education, male (% of male working-age population with intermediate education)",SL.TLF.INTM.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,66.4300003051758,85.0999984741211,..,..,..,27.7099990844727,..,..,..,..
+Uganda,UGA,"Labor force, female (% of total labor force)",SL.TLF.TOTL.FE.ZS,46.618165027134594,46.79919812043516,46.96663829117377,47.119476394678024,47.23987366313492,47.34416376059652,47.44429306411645,47.550934538586944,47.67498530467419,47.828653903133045,48.005390532682476,48.195539181015036,48.388641437959954,48.573953406819605,48.71056518756716,48.84256304831753,48.94979728326583,49.05325512367597,49.14912408859889,49.220145015570886,49.29284051401574,49.37279719995632,49.47158382620785,48.81345800093821,48.99797307772328
+Uganda,UGA,"Labor force, total",SL.TLF.TOTL.IN,7623110,7831600,8055073,8295714,8546674,8817750,9107304,9413897,9736089,10064402,10411587,10777707,11162258,11566242,11984747,12426422,12881275,13373455,13908256,14496926,15134634,15803182,16480192,16497309,17351430
+Uganda,UGA,"Manufacturing, value added (annual % growth)",NV.IND.MANF.KD.ZG,13.446091426475661,14.399897807237963,14.180890099523097,5.510551861771205,3.7077378193011867,6.747932839484122,4.425760100919462,6.306619073328079,9.45471397040032,7.287671909476174,5.634565817173254,7.256131404939154,10.037067262214606,6.285156637988436,10.309967041685326,2.510239896137236,-0.0837736651650971,4.744724056212291,9.640572568572779,3.0107923602796802,3.5698101428673397,4.6246635754549175,7.701220738214616,1.2555954891245733,2.2051739954816867
+Uganda,UGA,"Manufacturing, value added (constant 2015 US$)",NV.IND.MANF.KD,1589112561.6156511,1817943146.5302863,2075743666.2115583,2190128597.4555774,2271332823.7547684,2424600837.2628984,2531907853.725039,2691585637.347154,2946067360.626704,3160767084.1013427,3338862585.782581,3581134842.437314,3940575755.323351,4188247113.9840193,4620054011.060108,4736028450.068828,4732060905.452943,4956584137.588586,5434427228.29518,5598046548.109651,5797886181.586504,6066018911.97267,6533176418.40553,6615206686.81158,6761083504.416513
+Uganda,UGA,Multidimensional poverty headcount ratio (% of total population),SI.POV.MDIM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Multidimensional poverty headcount ratio, children (% of population ages 0-17)",SI.POV.MDIM.17,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Multidimensional poverty headcount ratio, female (% of female population)",SI.POV.MDIM.FE,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Multidimensional poverty headcount ratio, household (% of total households)",SI.POV.MDIM.HH,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Multidimensional poverty headcount ratio, male (% of male population)",SI.POV.MDIM.MA,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Multidimensional poverty index (scale 0-1),SI.POV.MDIM.XQ,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Multidimensional poverty index, children (population ages 0-17) (scale 0-1)",SI.POV.MDIM.17.XQ,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Multidimensional poverty intensity (average share of deprivations experienced by the poor),SI.POV.MDIM.IT,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Australia (current US$)",DC.DAC.AUSL.CD,2029999.97138977,2000000,699999.988079071,1490000.0095367401,270000.010728836,600000.023841858,469999.998807907,560000.002384186,330000.013113022,2779999.97138977,3039999.96185303,1080000.04291534,1789999.96185303,2519999.98092651,11090000.1525879,7929999.82833862,6659999.84741211,3579999.92370605,3720000.02861023,1399999.97615814,7239999.771118159,1090000.0333786,899999.976158142,1720000.02861023,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Austria (current US$)",DC.DAC.AUTL.CD,11100000.3814697,12779999.7329712,4619999.88555908,4519999.98092651,1830000.04291534,5380000.11444092,5420000.07629395,8130000.11444092,8420000.07629395,10300000.1907349,10260000.2288818,14229999.5422363,11189999.5803833,13069999.6948242,13069999.6948242,8189999.580383301,17430000.3051758,10850000.3814697,9560000.4196167,10649999.6185303,13159999.8474121,6989999.771118159,13760000.2288818,11409999.8474121,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Belgium (current US$)",DC.DAC.BELL.CD,2819999.9332428,8590000.15258789,2119999.8855590797,6730000.01907349,3529999.97138977,2140000.10490417,6639999.8664856,8140000.34332275,13319999.6948242,14850000.3814697,15000000,17030000.6866455,22159999.8474121,28299999.237060502,14159999.8474121,21559999.4659424,15680000.3051758,24170000.0762939,16799999.237060502,18389999.3896484,22340000.1525879,26139999.3896484,34049999.237060495,23500000,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Canada (current US$)",DC.DAC.CANL.CD,3160000.08583069,3460000.03814697,2619999.8855590797,1610000.01430511,2599999.90463257,6429999.82833862,6739999.771118159,10159999.8474121,12829999.923706101,14109999.6566772,19989999.7711182,21200000.762939498,16850000.3814697,5730000.01907349,6400000.09536743,13590000.1525879,12359999.6566772,7320000.17166138,8710000.03814697,5969999.79019165,18670000.0762939,15539999.961853001,14050000.1907349,14659999.8474121,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Czech Republic (current US$)",DC.DAC.CZEL.CD,..,..,..,..,..,..,..,..,39999.9991059303,330000.013113022,90000.0035762787,50000.0007450581,300000.011920929,140000.000596046,19999.9995529652,50000.0007450581,9999.99977648258,9999.99977648258,79999.9982118607,79999.9982118607,170000.00178813902,9999.99977648258,59999.9986588955,19999.9995529652,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Denmark (current US$)",DC.DAC.DNKL.CD,58360000.6103516,70779998.7792969,58900001.5258789,59810001.373291,58680000.3051758,43090000.1525879,53009998.3215332,61310001.373291,63720001.220703095,78500000,109849998.47412099,82580001.8310547,93470001.2207031,77010002.1362305,68180000.3051758,62900001.5258789,55240001.6784668,50240001.6784668,29280000.6866455,41500000,46409999.8474121,37470001.220703095,29129999.1607666,68500000,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, European Union institutions (current US$)",DC.DAC.CECL.CD,53959999.0844727,55909999.8474121,60380001.0681152,36139999.3896484,63270000.4577637,33490001.678466797,89379997.253418,112690002.441406,83199996.9482422,155470001.220703,116349998.47412099,258890014.648438,128039993.286133,128940002.441406,171759994.506836,120599998.47412099,67959999.0844727,148009994.506836,106220001.22070299,70330001.8310547,150820007.32421902,86779998.7792969,144880004.882813,166100006.10351598,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Finland (current US$)",DC.DAC.FINL.CD,1080000.04291534,1129999.99523163,1169999.95708466,699999.988079071,759999.990463257,779999.971389771,1029999.97138977,2420000.07629395,5329999.92370605,6070000.17166138,6099999.90463257,5610000.1335144,4570000.17166138,5849999.90463257,4889999.8664856,3430000.0667572,4139999.8664856004,4650000.09536743,6119999.88555908,3069999.9332428,4940000.05722046,5320000.17166138,4949999.80926514,6780000.20980835,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, France (current US$)",DC.DAC.FRAL.CD,5150000.09536743,2920000.07629395,1559999.9427795399,7579999.92370605,6519999.98092651,5480000.01907349,4650000.09536743,6179999.82833862,7630000.11444092,5389999.8664856,8979999.54223633,17440000.5340576,14569999.6948242,1769999.98092651,600000.023841858,-140000.000596046,2579999.92370605,7289999.96185303,8260000.22888184,11829999.923706101,51389999.3896484,59700000.762939505,13949999.8092651,77660003.6621094,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Germany (current US$)",DC.DAC.DEUL.CD,38549999.237060495,28280000.6866455,28590000.1525879,18260000.2288818,33209999.084472697,33860000.6103516,26670000.0762939,41750000,51380001.0681152,54560001.373291,47580001.8310547,37840000.1525879,60060001.373291,40939998.626709,61880001.0681152,47470001.220703095,42069999.6948242,45270000.4577637,47740001.6784668,39540000.9155273,64239997.8637695,52630001.0681152,66519996.643066406,60840000.1525879,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Greece (current US$)",DC.DAC.GRCL.CD,..,79999.9982118607,79999.9982118607,100000.00149011599,70000.0002980232,59999.9986588955,170000.00178813902,70000.0002980232,59999.9986588955,29999.999329447703,180000.00715255702,270000.010728836,219999.998807907,189999.99761581398,200000.00298023198,180000.00715255702,39999.9991059303,50000.0007450581,39999.9991059303,0,9999.99977648258,9999.99977648258,19999.9995529652,..,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Hungary (current US$)",DC.DAC.HUNL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,9999.99977648258,9999.99977648258,50000.0007450581,29999.999329447703,720000.028610229,70000.0002980232,340000.00357627904,8180000.305175779,1110000.01430511,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Iceland (current US$)",DC.DAC.ISLL.CD,..,..,..,..,360000.01430511504,479999.989271164,959999.978542328,1220000.02861023,1610000.01430511,2279999.97138977,2559999.94277954,3200000.04768372,3170000.07629395,3069999.9332428,3319999.9332428,2970000.02861023,4170000.07629395,3329999.92370605,3380000.1144409203,4920000.07629395,5170000.07629395,8149999.61853027,6380000.11444092,5519999.98092651,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Ireland (current US$)",DC.DAC.IRLL.CD,9810000.4196167,8720000.26702881,11930000.3051758,13020000.4577637,23489999.7711182,37009998.3215332,44400001.5258789,47619998.9318848,47750000,57630001.0681152,65849998.474121094,80870002.746582,64459999.0844727,58009998.3215332,59479999.5422363,30629999.1607666,31670000.0762939,37040000.9155273,25450000.762939498,26389999.3896484,28049999.237060502,31049999.237060502,23760000.2288818,25940000.5340576,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Italy (current US$)",DC.DAC.ITAL.CD,73349998.4741211,3480000.01907349,3640000.10490417,82089996.3378906,3740000.00953674,26680000.3051758,8850000.38146973,8229999.54223633,3920000.07629395,9560000.4196167,13279999.7329712,12399999.6185303,8949999.80926514,11399999.6185303,9289999.96185303,5760000.228881841,3349999.90463257,7079999.92370605,3460000.03814697,4050000.1907348596,4199999.80926514,6900000.09536743,6550000.19073486,5860000.1335144,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Japan (current US$)",DC.DAC.JPNL.CD,26860000.6103516,23909999.8474121,28219999.3133545,22370000.8392334,14569999.6948242,8079999.923706049,9539999.96185303,11840000.1525879,14439999.5803833,21780000.6866455,27510000.2288818,57009998.3215332,54049999.237060495,71239997.8637695,58000000,68870002.746582,57509998.3215332,85730003.3569336,70480003.3569336,66839996.337890595,64220001.220703095,71389999.3896484,65139999.38964839,42409999.8474121,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)",DC.DAC.KORL.CD,340000.00357627904,150000.005960464,-39999.9991059303,19999.9995529652,140000.000596046,280000.001192093,129999.995231628,209999.993443489,119999.997317791,159999.99642372102,1289999.96185303,680000.007152557,1240000.0095367401,1879999.99523163,2410000.08583069,3990000.00953674,11420000.076293899,12159999.8474121,22950000.762939498,27700000.762939498,28940000.5340576,24370000.8392334,27090000.1525879,23360000.6103516,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Luxembourg (current US$)",DC.DAC.LUXL.CD,59999.9986588955,100000.00149011599,..,..,..,50000.0007450581,109999.999403954,109999.999403954,109999.999403954,109999.999403954,1549999.95231628,1620000.00476837,1039999.96185303,270000.010728836,790000.021457672,280000.001192093,289999.99165535,109999.999403954,79999.9982118607,79999.9982118607,230000.004172325,360000.01430511504,330000.013113022,500000,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Netherlands (current US$)",DC.DAC.NLDL.CD,33349998.4741211,35319999.6948242,26450000.762939498,43330001.8310547,40819999.6948242,43500000,57770000.4577637,70919998.1689453,80120002.746582,82379997.253418,70430000.3051758,82849998.4741211,45009998.3215332,36650001.5258789,14859999.6566772,25819999.6948242,36169998.1689453,21920000.0762939,14689999.5803833,17229999.5422363,19069999.6948242,30430000.3051758,32669998.168945298,36759998.3215332,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, New Zealand (current US$)",DC.DAC.NZLL.CD,340000.00357627904,50000.0007450581,270000.010728836,409999.99642372096,330000.013113022,219999.998807907,460000.00834465,209999.993443489,560000.002384186,150000.005960464,730000.019073486,159999.99642372102,200000.00298023198,..,..,..,..,29999.999329447703,119999.997317791,50000.0007450581,29999.999329447703,109999.999403954,90000.0035762787,189999.99761581398,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Norway (current US$)",DC.DAC.NORL.CD,27809999.4659424,31290000.915527303,25450000.762939498,21000000,19729999.5422363,32619998.931884803,38369998.9318848,41669998.1689453,45529998.779296905,50459999.0844727,69769996.6430664,74980003.3569336,67319999.6948242,71449996.9482422,80970001.2207031,52569999.6948242,69970001.2207031,65069999.694824204,44599998.4741211,43700000.762939505,29870000.8392334,35349998.4741211,35540000.9155273,33189998.626709,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Poland (current US$)",DC.DAC.POLL.CD,..,..,..,..,..,..,..,..,9999.99977648258,9999.99977648258,19999.9995529652,29999.999329447703,9999.99977648258,29999.999329447703,189999.99761581398,..,79999.9982118607,360000.01430511504,230000.004172325,50000.0007450581,9999.99977648258,289999.99165535,349999.99403953605,589999.973773956,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Portugal (current US$)",DC.DAC.PRTL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,50000.0007450581,39999.9991059303,29999.999329447703,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Slovak Republic (current US$)",DC.DAC.SVKL.CD,..,..,..,..,..,..,..,..,39999.9991059303,..,..,..,..,..,..,..,9999.99977648258,9999.99977648258,19999.9995529652,9999.99977648258,50000.0007450581,9999.99977648258,79999.9982118607,140000.000596046,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Slovenia (current US$)",DC.DAC.SVNL.CD,..,..,..,..,..,..,..,..,..,..,..,..,29999.999329447703,50000.0007450581,119999.997317791,59999.9986588955,39999.9991059303,39999.9991059303,29999.999329447703,29999.999329447703,79999.9982118607,59999.9986588955,59999.9986588955,59999.9986588955,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Spain (current US$)",DC.DAC.ESPL.CD,-879999.995231628,-1029999.97138977,-4750000,-3210000.03814697,-2309999.94277954,2779999.97138977,9770000.45776367,3279999.97138977,-550000.011920929,2740000.00953674,2650000.09536743,11460000.038146999,5889999.8664856,4289999.96185303,2319999.9332428,460000.00834465,529999.971389771,189999.99761581398,150000.005960464,219999.998807907,560000.002384186,709999.978542328,1080000.04291534,1690000.0572204601,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Sweden (current US$)",DC.DAC.SWEL.CD,31329999.9237061,9649999.61853027,20340000.1525879,22649999.6185303,29399999.6185303,23409999.8474121,32919998.168945298,42740001.6784668,47930000.3051758,62590000.1525879,56549999.237060495,64069999.694824204,52650001.5258789,43290000.9155273,41159999.8474121,34389999.3896484,41310001.373291,36009998.3215332,41759998.3215332,42610000.6103516,54549999.237060495,59729999.5422363,53759998.3215332,72959999.0844727,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Switzerland (current US$)",DC.DAC.CHEL.CD,330000.013113022,1120000.00476837,1769999.98092651,1210000.03814697,360000.01430511504,569999.992847443,1620000.00476837,3160000.08583069,3349999.90463257,3569999.9332428,4440000.05722046,3759999.99046326,3339999.91416931,1789999.96185303,1399999.97615814,2079999.9237060498,1370000.00476837,1139999.98569489,2400000.09536743,2029999.97138977,3150000.09536743,3480000.01907349,3599999.90463257,2900000.09536743,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, Total (current US$)",DC.DAC.TOTL.CD,493089997.13882816,439999997.26936245,417800002.463162,614320005.502552,450070002.75701284,500320001.61707395,677750001.1026862,797970006.8458905,775650008.7659808,1096440006.3082569,1121750005.0552194,1267850029.1872778,1144809996.3888528,1129819984.2590833,1161569990.2437627,1043690009.7522883,1029239982.4541065,1177080009.6858294,1064690006.7627431,1127820022.2402806,1438279989.2108881,1319139976.082369,1299699993.4054914,1441230016.5873022,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, United Kingdom (current US$)",DC.DAC.GBRL.CD,78180000.3051758,105559997.558594,96379997.253418,216570007.32421902,82220001.2207031,83980003.3569336,104650001.52587901,107639999.38964799,55630001.0681152,214410003.66210902,166130004.882813,65660003.662109405,117349998.47412099,179259994.506836,142979995.727539,149220001.220703,88089996.3378906,135300003.05175802,188460006.71386698,149720001.220703,180660003.66210902,143270004.272461,196229995.727539,114569999.69482401,..
+Uganda,UGA,"Net bilateral aid flows from DAC donors, United States (current US$)",DC.DAC.USAL.CD,36000000,35750000,47400001.5258789,57919998.1689453,66480003.356933594,109349998.47412099,174020004.272461,207710006.71386698,228820007.32421902,246220001.220703,301570007.324219,352880004.88281304,366880004.88281304,342679992.675781,392029998.779297,380820007.324219,459079986.57226604,470070007.324219,409869995.11718804,538710021.972656,639979980.46875,611409973.144531,516500000,642260009.765625,..
+Uganda,UGA,Net migration,SM.POP.NETM,-180002,..,..,..,..,-250002,..,..,..,..,-500000,..,..,..,..,-299994,..,..,..,..,843469,..,..,..,..
+Uganda,UGA,Net ODA provided to the least developed countries (% of GNI),DC.ODA.TLDC.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Net ODA provided, to the least developed countries (current US$)",DC.ODA.TLDC.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Net ODA provided, total (% of GNI)",DC.ODA.TOTL.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Net ODA provided, total (constant 2020 US$)",DC.ODA.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Net ODA provided, total (current US$)",DC.ODA.TOTL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Net ODA received (% of central government expense),DT.ODA.ODAT.XP.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,46.972063645457425,53.349619508509626,58.12419568805669,49.920132515250025,42.44481605740062,59.96533112773823,..
+Uganda,UGA,Net ODA received (% of GNI),DT.ODA.ODAT.GN.ZS,13.009205018958173,10.007122391012883,10.154124310890596,14.064862160089453,14.646131167079263,12.126275434883368,15.513790593662238,15.822328600740363,13.330199755881884,16.335090417494573,14.889078988239133,11.590888410105496,7.225327693664889,6.443283812290755,5.732110981378834,6.144915260149768,6.002344366167966,5.121861514099798,5.154662373541674,6.143194856652245,6.701332431400182,6.079463816740163,5.889038037223304,8.339367756949697,..
+Uganda,UGA,Net ODA received (% of gross capital formation),DT.ODA.ODAT.GI.ZS,71.37477821848212,60.76558981136404,51.82036505250183,70.93257211816262,73.53077339778463,58.67847234118078,72.39696251874031,76.41557341486663,57.87285396451044,75.37919307257653,66.12833064910149,49.52829170983425,27.246178310563284,24.196150747032586,21.723588067808866,23.65400637086634,19.04341379860143,19.16925170044855,21.93852912381351,23.74727844011422,26.584841058981684,24.2857738844386,22.469756850077736,33.85467019085969,..
+Uganda,UGA,"Net ODA received (% of imports of goods, services and primary income)",DT.ODA.ODAT.MP.ZS,46.030919805869644,33.67342636903835,38.68601939621728,54.3792879717777,50.26313107931796,43.52635044779965,57.79641215672703,54.6789341409878,45.21708412019411,48.34497749852378,40.761848677793125,28.929585893434513,31.679721501777834,26.002306745644898,19.965594455510416,19.841168143368755,21.162773699521868,19.50819312809397,20.988164844318984,24.554505382938732,24.7455949127671,19.98453388437796,19.222014175381666,28.146998729821682,..
+Uganda,UGA,Net ODA received per capita (current US$),DT.ODA.ODAT.PC.ZS,37.56293132174223,29.523406938747293,26.47565543567768,36.19129971497363,33.98830973543233,29.124344539072013,38.63313662998166,45.56975203418104,43.176725971187935,55.62295892909799,58.9476455590042,54.00250983556967,56.87003011884526,52.11950990035822,46.985415557548684,47.52725017054316,47.54483358692437,44.216806655035974,42.826966969272846,44.45489885970484,48.869973352995636,45.53040122002132,45.81045695695399,67.39227581143022,..
+Uganda,UGA,Net official aid received (constant 2020 US$),DT.ODA.OATL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Net official aid received (current US$),DT.ODA.OATL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Net official development assistance and official aid received (constant 2020 US$),DT.ODA.ALLD.KD,1126219970.70313,920940002.441406,844859985.351563,1257859985.35156,1261680053.71094,1064689941.40625,1273510009.76563,1423920043.94531,1367790039.0625,1726910034.17969,1762319946.28906,1603760009.76563,1814369995.11719,1706660034.17969,1514640014.64844,1606160034.17969,1651719970.70313,1578800048.82813,1717310058.59375,1860040039.0625,2090340087.89063,1945469970.70313,2132649902.34375,..,..
+Uganda,UGA,Net official development assistance and official aid received (current US$),DT.ODA.ALLD.CD,813440002.441406,658099975.585938,607679992.675781,855929992.675781,828940002.441406,732979980.46875,1003710021.97266,1222239990.23438,1195329956.05469,1589229980.46875,1738150024.41406,1643390014.64844,1786349975.58594,1690140014.64844,1572920043.94531,1642479980.46875,1697089965.82031,1632109985.35156,1637079956.05469,1762599975.58594,2011810058.59375,1945469970.70313,2028010009.76563,3082590087.89063,..
+Uganda,UGA,Net official development assistance received (constant 2020 US$),DT.ODA.ODAT.KD,1131020019.53125,925590026.855469,850239990.234375,1275180053.71094,1271400024.41406,1069030029.29688,1281430053.71094,1434030029.29688,1376619995.11719,1742050048.82813,1772599975.58594,1612719970.70313,1827219970.70313,1721030029.29688,1526430053.71094,1624150024.41406,1668020019.53125,1595050048.82813,1734989990.23438,1881310058.59375,2117600097.65625,1968089965.82031,2079959960.9375,3082590087.89063,..
+Uganda,UGA,Net official development assistance received (current US$),DT.ODA.ODAT.CD,813440002.441406,658099975.585938,607679992.675781,855929992.675781,828940002.441406,732979980.46875,1003710021.97266,1222239990.23438,1195329956.05469,1589229980.46875,1738150024.41406,1643390014.64844,1786349975.58594,1690140014.64844,1572920043.94531,1642479980.46875,1697089965.82031,1632109985.35156,1637079956.05469,1762599975.58594,2011810058.59375,1945469970.70313,2028010009.76563,3082590087.89063,..
+Uganda,UGA,"Net official flows from UN agencies, FAO (current US$)",DT.NFL.FAOG.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,183922.231197357,..,..,..,..,510689.973831177,433851.808309555,..,..
+Uganda,UGA,"Net official flows from UN agencies, IAEA (current US$)",DT.NFL.IAEA.CD,..,..,..,..,..,..,..,..,..,319999.99284744303,349999.99403953605,600000.023841858,439999.997615814,400000.00596046395,280000.001192093,200000.00298023198,569999.992847443,439999.997615814,384758.740663528,442121.297121048,1066824.43618774,697079.002857208,509558.97569656407,546119.451522827,..
+Uganda,UGA,"Net official flows from UN agencies, IFAD (current US$)",DT.NFL.IFAD.CD,100000.00149011599,4659999.84741211,159999.99642372102,980000.019073486,2529999.97138977,3259999.99046326,3390000.10490417,5889999.8664856,6219999.79019165,5309999.94277954,9409999.84741211,8600000.38146973,15039999.961853001,15840000.1525879,12489999.7711182,18229999.5422363,23360000.6103516,11140000.3433228,11595305.4428101,9544647.21679688,11960596.0845947,15407045.364379901,22555458.068847697,10188297.271728499,..
+Uganda,UGA,"Net official flows from UN agencies, ILO (current US$)",DT.NFL.ILOG.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,360276.699066162,373512.17865943897,403600.00729560904,240989.997982979,363350.003957748,332269.996404648,643224.954605103,611829.996109009,730278.313159943,..
+Uganda,UGA,"Net official flows from UN agencies, UNAIDS (current US$)",DT.NFL.UNAI.CD,..,..,..,..,..,..,..,..,519999.980926514,469999.998807907,990000.009536743,649999.976158142,1019999.98092651,1019999.98092651,1000000,961118.996143341,1529559.96990204,991333.305835724,1061607.00321198,754697.799682617,941600.024700165,675385.117530823,1101847.64862061,..,..
+Uganda,UGA,"Net official flows from UN agencies, UNDP (current US$)",DT.NFL.UNDP.CD,16969999.3133545,12449999.8092651,6159999.84741211,4139999.8664856004,4250000,4010000.2288818406,4489999.771118159,5429999.82833862,6130000.11444092,7110000.1335144,7900000.09536743,12510000.2288818,11180000.3051758,4900000.09536743,3640000.10490417,7449924.46899414,8857489.58587646,10790377.6168823,8546315.19317627,7154526.2336731,7301125.04959106,6756734.84802246,7689563.751220699,9909634.59014893,..
+Uganda,UGA,"Net official flows from UN agencies, UNECE (current US$)",DT.NFL.UNEC.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Net official flows from UN agencies, UNEP (current US$)",DT.NFL.UNEP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Net official flows from UN agencies, UNFPA (current US$)",DT.NFL.UNFP.CD,3019999.98092651,6039999.96185303,4059999.94277954,2619999.8855590797,4829999.92370605,5369999.88555908,6219999.79019165,3829999.92370605,3430000.0667572,3619999.8855590797,4289999.96185303,6429999.82833862,7230000.01907349,6780000.20980835,6219999.79019165,6677663.803100591,6467065.81115723,6324778.0799865695,5697184.08584595,4192166.3284301804,3002966.1655425997,2836220.02601624,4261070.728302,4210810.18447876,..
+Uganda,UGA,"Net official flows from UN agencies, UNHCR (current US$)",DT.NFL.UNCR.CD,22610000.6103516,19059999.4659424,16600000.381469702,11399999.6185303,12439999.5803833,14710000.038146999,11949999.8092651,9270000.45776367,2130000.1144409203,1259999.9904632599,2990000.00953674,270000.010728836,3619999.8855590797,2210000.03814697,..,16487199.783325199,12190.000154078,..,..,..,..,3254798.65074158,..,..,..
+Uganda,UGA,"Net official flows from UN agencies, UNICEF (current US$)",DT.NFL.UNCF.CD,6230000.01907349,4659999.84741211,6179999.82833862,6469999.79019165,5349999.90463257,5019999.98092651,5360000.1335144,7789999.96185303,9560000.4196167,11670000.076293899,18510000.2288818,22409999.8474121,22100000.3814697,20180000.3051758,22860000.6103516,24810560.2264404,21020969.390869103,22660026.550293002,20364892.9595947,21715518.951416,24841289.5202637,19669013.9770508,21642000.1983643,19877000.808715798,..
+Uganda,UGA,"Net official flows from UN agencies, UNIDIR (current US$)",DT.NFL.UNID.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Net official flows from UN agencies, UNPBF (current US$)",DT.NFL.UNPB.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,610000.014305115,6829999.92370605,6462810.03952026,403258.770704269,322077.840566635,662502.825260162,20246.999338269197,-32843.999564647704,-441.000011051074,995100.021362305,746320.009231567,..
+Uganda,UGA,"Net official flows from UN agencies, UNRWA (current US$)",DT.NFL.UNRW.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Net official flows from UN agencies, UNTA (current US$)",DT.NFL.UNTA.CD,2809999.94277954,2150000.09536743,2710000.03814697,2680000.0667572,2200000.04768372,3279999.97138977,4309999.94277954,2880000.1144409203,2920000.07629395,1629999.99523163,2440000.05722046,1070000.05245209,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Net official flows from UN agencies, UNWTO (current US$)",DT.NFL.UNWT.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Net official flows from UN agencies, WFP (current US$)",DT.NFL.WFPG.CD,19549999.237060502,14829999.923706101,2960000.03814697,8609999.65667725,18850000.3814697,14899999.6185303,19639999.3896484,12310000.4196167,..,9649999.61853027,2519999.98092651,3880000.1144409203,12289999.961853001,7010000.228881841,2700000.04768372,11837491.0354614,8177076.33972168,5755819.79751587,9112096.78649902,6673320.77026367,13428250.3128052,3481143.23616028,757040.023803711,5186927.79541016,..
+Uganda,UGA,"Net official flows from UN agencies, WHO (current US$)",DT.NFL.WHOL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1289999.96185303,2006588.9358520498,1375765.44284821,1436913.84792328,2319881.20079041,1726434.94606018,1516763.5679245,2059521.91352844,1372714.16187286,1030359.1489791899,..
+Uganda,UGA,"Number of surgical procedures (per 100,000 population)",SH.SGR.PROC.P5,..,..,..,..,..,..,..,..,..,..,..,..,..,..,241,..,..,..,..,..,..,..,..,..,..
+Uganda,UGA,"Nurses and midwives (per 1,000 people)",SH.MED.NUMW.P3,..,..,..,..,..,..,..,..,1.3591,..,..,..,..,..,..,1.1811,1.3209,1.2296,1.5565,1.6401,1.4686,1.2382,..,..,..
+Uganda,UGA,Out-of-pocket expenditure (% of current health expenditure),SH.XPD.OOPC.CH.ZS,..,..,..,43.13160324,43.49900436,44.13851166,45.41794586,38.377491,48.59852982,54.05283737,54.48326874,52.72429657,42.84917831,37.39066315,33.01005173,37.51226807,42.51777649,40.14643478,39.4708519,40.60963821,38.08950424,35.62893295,38.26028824,..,..
+Uganda,UGA,Out-of-pocket expenditure per capita (current US$),SH.XPD.OOPC.PC.CD,..,..,..,7.17292543,7.04220101,7.03010849,6.55718773,7.22974371,12.69826296,17.21560742,19.7808227,21.19438738,19.0351641,19.3780707,18.15754123,20.51425409,22.26932424,20.1717616,15.53984085,15.53051196,11.68690669,11.42068746,12.39956304,..,..
+Uganda,UGA,"Out-of-pocket expenditure per capita, PPP (current international $)",SH.XPD.OOPC.PP.CD,..,..,..,21.02841832,21.54739914,23.10432683,22.24296937,20.0861439,36.41398511,51.0874054,52.85379941,54.18196789,50.51156468,52.81128607,53.50336612,51.21140728,55.28195464,48.84044767,44.74491249,43.8271393,33.21561722,32.82734294,35.34437049,..,..
+Uganda,UGA,"Part time employment, female (% of total female employment)",SL.TLF.PART.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,57.8600006103516,69.0599975585938,..,..,..,46.9199981689453,..,..,..,..
+Uganda,UGA,"Part time employment, male (% of total male employment)",SL.TLF.PART.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,48.8499984741211,56.5099983215332,..,..,..,38.3800010681152,..,..,..,..
+Uganda,UGA,"Part time employment, total (% of total employment)",SL.TLF.PART.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,53.1399993896484,62.8899993896484,..,..,..,42.1100006103516,..,..,..,..
+Uganda,UGA,"Physicians (per 1,000 people)",SH.MED.PHYS.ZS,..,..,..,..,..,0.047,..,0.0824,0.1214,..,..,..,..,..,..,0.0975,..,..,0.0954,..,0.168,..,..,..,..
+Uganda,UGA,Poverty gap at $1.90 a day (2011 PPP) (%),SI.POV.GAPS,..,..,28.8,..,..,26.9,..,..,21.6,..,..,..,15,..,..,10.7,..,..,..,13.1,..,..,13,..,..
+Uganda,UGA,Poverty gap at $3.20 a day (2011 PPP) (%),SI.POV.LMIC.GP,..,..,49.3,..,..,47.4,..,..,41.5,..,..,..,34,..,..,28.1,..,..,..,31.1,..,..,31,..,..
+Uganda,UGA,Poverty gap at $5.50 a day (2011 PPP) (%),SI.POV.UMIC.GP,..,..,67.3,..,..,65.6,..,..,61,..,..,..,54.8,..,..,49.6,..,..,..,51.8,..,..,52.2,..,..
+Uganda,UGA,Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population),SI.POV.DDAY,..,..,67.5,..,..,65.6,..,..,57,..,..,..,45.3,..,..,35.7,..,..,..,41.3,..,..,41,..,..
+Uganda,UGA,Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population),SI.POV.LMIC,..,..,87.4,..,..,85.2,..,..,80.2,..,..,..,73.5,..,..,67.3,..,..,..,69.6,..,..,70.5,..,..
+Uganda,UGA,Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population),SI.POV.UMIC,..,..,95.4,..,..,94.4,..,..,92.6,..,..,..,89.3,..,..,87,..,..,..,87.6,..,..,89,..,..
+Uganda,UGA,Poverty headcount ratio at national poverty lines (% of population),SI.POV.NAHC,..,..,33.8,..,..,38.8,..,..,31.1,..,..,..,24.5,..,..,19.7,..,..,..,21.4,..,..,20.3,..,..
+Uganda,UGA,"PPP conversion factor, GDP (LCU per international $)",PA.NUS.PPP,487.771588124204,524.719874076397,516.842738428452,561.578889148203,574.109142568546,547.381320140951,578.692882617279,651.410411489468,620.607005369483,616.513420099795,644.239157925539,672.345189447078,765.377105370609,798.924684188794,856.168212890625,1003.27728271484,1042.08117675781,1073.74743652344,1125.47131347656,1211.94018554688,1270.6083984375,1296.10239736914,1311.52615083067,1331.17534401369,1309.50548602194
+Uganda,UGA,"PPP conversion factor, private consumption (LCU per international $)",PA.NUS.PRVT.PP,563.969376958452,555.730916555642,575.250896121259,575.33527946619,569.958014196209,559.446340498274,594.512940328614,600.558113526278,629.92583659904,654.852498852342,675.773097250919,729.21426983824,827.078606614418,846.091555728811,944.255554199219,1017.30548095703,1064.89892578125,1081.15966796875,1127.6865234375,1172.62976074219,1221.08764648438,1223.24978672194,1235.94800180476,1267.21295269912,..
+Uganda,UGA,Price level ratio of PPP conversion factor (GDP) to market exchange rate,PA.NUS.PPPC.RF,0.46099558174945066,0.4564160684001444,0.37944287036281,0.3714095244517505,0.32565730424969264,0.31197622661221297,0.30725742936431655,0.3366611354082098,0.357239997792737,0.3378119076296021,0.36193213152738885,0.3963244158849436,0.3965806540214808,0.3937760000764924,0.36848423229219474,0.3923427273308972,0.40217468349265206,0.42306341849984014,0.3980127477225028,0.3520040374261728,0.3599787318847057,0.3542090352431025,0.3510223528479322,0.3583150204050321,0.3578578144415232
+Uganda,UGA,Proportion of people living below 50 percent of median income (%),SI.DST.50MD,..,..,14,..,..,12.9,..,..,12.9,..,..,..,12.7,..,..,12.2,..,..,..,13.1,..,..,13.4,..,..
+Uganda,UGA,Proportion of seats held by women in national parliaments (%),SG.GEN.PARL.ZS,18.1159420289855,18.1159420289855,17.921146953405,17.7935943060498,24.6710526315789,24.6710526315789,24.6710526315789,23.9344262295082,23.9344262295082,29.8192771084337,30.7228915662651,30.7228915662651,31.4814814814815,31.2883435582822,34.9740932642487,34.9740932642487,34.9740932642487,34.9740932642487,34.9740932642487,33.4894613583138,34.2984409799555,34.2984409799555,34.8583877995643,34.8583877995643,33.8129496402878
+Uganda,UGA,"Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)",SG.TIM.UWRK.FE,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,14.58333,..,..,..
+Uganda,UGA,"Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)",SG.TIM.UWRK.MA,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,7.5,..,..,..
+Uganda,UGA,Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49),SG.VAW.1549.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,29.9,..,..,..,..,..
+Uganda,UGA,Ratio of female to male labor force participation rate (%) (modeled ILO estimate),SL.TLF.CACT.FM.ZS,82.41069671341721,82.76949744604772,83.1288189231549,83.4886883194097,83.85091043174786,84.21267714933664,84.57663666574345,84.94057092696939,85.30598151020413,85.67190147165611,86.04037216013874,86.40891232286253,86.77963573487737,87.15120601864629,87.52300419642134,87.89691690200746,88.21685357828272,88.57384168771395,88.96254216109027,89.42051784547837,89.94608456439465,90.53459788954926,91.19426341341722,89.10027890392766,89.99522801731605
+Uganda,UGA,Ratio of female to male labor force participation rate (%) (national estimate),SL.TLF.CACT.FM.NE.ZS,..,..,..,..,..,98.67470063358904,96.09254396364871,..,96.66197655856645,..,..,..,97.42375717371111,..,..,87.89622063838553,94.98695898748234,..,..,..,91.75525259088029,..,..,..,..
+Uganda,UGA,Refugee population by country or territory of asylum,SM.POP.REFG,188512,204543,218191,236622,199735,217301,230904,250477,257252,272003,228956,162132,127340,135799,139442,197872,220548,385503,477187,940825,1350495,1165646,1359458,1421133,1529903
+Uganda,UGA,Refugee population by country or territory of origin,SM.POP.REFG.OR,55232,13294,13929,32405,40133,40414,35240,31955,34208,21735,21325,7533,7543,6421,5658,5588,8166,7177,6311,6229,6409,7034,7301,7442,7886
+Uganda,UGA,"Self-employed, female (% of female employment) (modeled ILO estimate)",SL.EMP.SELF.FE.ZS,94.3199996948242,94.1699981689453,93.8899993896484,93.870002746582,93.6800003051758,93.25,93.0999984741211,92.2900009155273,91.7099990844727,90.8899993896484,89.6699981689453,88.6699981689453,88.3000030517578,87.6100006103516,86.8099975585938,85.9100036621094,85.5100021362305,85.2799987792969,84.9700012207031,84.379997253418,84.370002746582,83.7600021362305,83.1800003051758,..,..
+Uganda,UGA,"Self-employed, male (% of male employment) (modeled ILO estimate)",SL.EMP.SELF.MA.ZS,81.4300003051758,81.129997253418,80.629997253418,80.3099975585938,79.8300018310547,79.0599975585938,78.8099975585938,78.1999969482422,77.5800018310547,76.879997253418,75.9899978637695,75.4599990844727,76,75.4100036621094,73.870002746582,73.5400009155273,73.3000030517578,73.1100006103516,72.6399993896484,72.5199966430664,72.4700012207031,71.9599990844727,71.6600036621094,..,..
+Uganda,UGA,"Self-employed, total (% of total employment) (modeled ILO estimate)",SL.EMP.SELF.ZS,87.4499969482422,87.2300033569336,86.8399963378906,86.6699981689453,86.3199996948242,85.7099990844727,85.5100021362305,84.8600006103516,84.2900009155273,83.5500030517578,82.5199966430664,81.7799987792969,81.8899993896484,81.2699966430664,80.0999984741211,79.5100021362305,79.2200012207031,79.0299987792969,78.6500015258789,78.3099975585938,78.3000030517578,77.7600021362305,77.3199996948242,..,..
+Uganda,UGA,"Services, value added (annual % growth)",NV.SRV.TOTL.KD.ZG,8.489661105750756,7.102490245964361,6.956206867089065,4.865010907405193,10.981631153855616,7.362717967253943,7.85333972293148,6.161219224668457,12.171083123625294,8.04840382909613,9.66188302792257,-8.812786715058039,7.0403119644864915,6.918991940082634,12.204658068680317,4.748127020437181,5.907326353710474,5.474099696932285,4.658903778748737,7.988587715166389,0.10803460685220045,8.516257023722403,5.837169246548996,2.505025414292831,2.7433130993324255
+Uganda,UGA,"Services, value added (constant 2015 US$)",NV.SRV.TOTL.KD,4593192132.955487,4919423156.177053,5261628407.588211,5517607203.5245075,6123530475.134137,6574388753.657109,7090697837.188003,7527571275.49598,8443758232.626737,9123345993.541086,10004833011.669685,9123128417.153519,9765425118.641846,10441094095.51548,11715393928.502314,12271655713.17219,12996582465.153027,13708028346.489523,14346672197.116072,15492768689.79008,15509506241.534615,16830335656.173971,17812750833.18713,18258964768.543125,18759865340.84106
+Uganda,UGA,"Services, value added per worker (constant 2015 US$)",NV.SRV.EMPL.KD,2765.554179379655,2853.7900579561765,2917.42272926752,2945.2607057132946,3131.600535356037,3193.2848087135776,3278.172669382262,3302.9214892040904,3524.46309469495,3630.632530132687,3812.6502152735384,3329.621986282918,3433.463968457779,3521.489438584001,3760.7595430858178,3760.0388501891034,4634.123235156609,4780.745582623223,4775.690238918111,4897.732490358664,4797.451307891959,4884.551193949467,4879.172735744089,..,..
+Uganda,UGA,"Share of youth not in education, employment or training, female (% of female youth population)",SL.UEM.NEET.FE.ZS,..,..,..,..,..,..,..,..,11.3000001907349,..,..,..,9.64000034332275,..,..,19.0300006866455,8.38000011444092,..,..,..,19.75,..,..,..,..
+Uganda,UGA,"Share of youth not in education, employment or training, male (% of male youth population)",SL.UEM.NEET.MA.ZS,..,..,..,..,..,..,..,..,4.53000020980835,..,..,..,3.80999994277954,..,..,9.88000011444092,3.30999994277954,..,..,..,10.5299997329712,..,..,..,..
+Uganda,UGA,"Share of youth not in education, employment or training, total (% of youth population)",SL.UEM.NEET.ZS,..,..,..,..,..,..,..,..,8.09000015258789,..,..,..,6.94999980926514,..,..,14.5299997329712,5.90999984741211,..,..,..,15.3100004196167,..,..,..,..
+Uganda,UGA,"Specialist surgical workforce (per 100,000 population)",SH.MED.SAOP.P5,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,0.95,..,..,..,1.05,..,..,..,..,..
+Uganda,UGA,"Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day)",SI.SPR.PC40,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1.28,..,..,1.28,..,..
+Uganda,UGA,"Survey mean consumption or income per capita, total population (2011 PPP $ per day)",SI.SPR.PCAP,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3.2,..,..,3.18,..,..
+Uganda,UGA,Unemployment with advanced education (% of total labor force with advanced education),SL.UEM.ADVN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,8.85000038146973,..,..,..,..,1.4099999666214,..,..,..,..
+Uganda,UGA,"Unemployment with advanced education, female (% of female labor force with advanced education)",SL.UEM.ADVN.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,14.6300001144409,..,..,..,..,5.84000015258789,..,..,..,..
+Uganda,UGA,"Unemployment with advanced education, male (% of male labor force with advanced education)",SL.UEM.ADVN.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.11999988555908,..,..,..,..,..,..,..,..,..
+Uganda,UGA,Unemployment with basic education (% of total labor force with basic education),SL.UEM.BASC.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4.11999988555908,..,..,..,..,1.11000001430511,..,..,..,..
+Uganda,UGA,"Unemployment with basic education, female (% of female labor force with basic education)",SL.UEM.BASC.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,6.17999982833862,..,..,..,..,0.850000023841858,..,..,..,..
+Uganda,UGA,"Unemployment with basic education, male (% of male labor force with basic education)",SL.UEM.BASC.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2.72000002861023,..,..,..,..,1.29999995231628,..,..,..,..
+Uganda,UGA,Unemployment with intermediate education (% of total labor force with intermediate education),SL.UEM.INTM.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10.1499996185303,..,..,..,..,7.42999982833862,..,..,..,..
+Uganda,UGA,"Unemployment with intermediate education, female (% of female labor force with intermediate education)",SL.UEM.INTM.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,20.0300006866455,..,..,..,..,5.71000003814697,..,..,..,..
+Uganda,UGA,"Unemployment with intermediate education, male (% of male labor force with intermediate education)",SL.UEM.INTM.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,7.03999996185303,..,..,..,..,8.5,..,..,..,..
+Uganda,UGA,"Unemployment, female (% of female labor force) (modeled ILO estimate)",SL.UEM.TOTL.FE.ZS,2.50999999046326,2.89100003242493,3.24000000953674,3.67899990081787,4.04099988937378,4.37799978256226,4.55399990081787,3.32999992370605,2.10999989509583,2.59599995613098,3.14299988746643,3.67600011825562,4.24300003051758,4.26200008392334,4.21000003814697,4.27400016784668,2.46099996566772,2.45099997520447,2.45300006866455,2.45900011062622,2.46900010108948,2.4539999961853,2.45199990272522,3.41199994087219,3.6949999332428
+Uganda,UGA,"Unemployment, female (% of female labor force) (national estimate)",SL.UEM.TOTL.FE.NE.ZS,..,..,..,..,..,4.19999980926514,4.48999977111816,..,2.09999990463257,..,..,..,..,..,..,4.28999996185303,2.44000005722046,..,..,..,4.1399998664856,..,..,..,..
+Uganda,UGA,"Unemployment, male (% of male labor force) (modeled ILO estimate)",SL.UEM.TOTL.MA.ZS,1.94599997997284,2.10800004005432,2.24000000953674,2.4449999332428,2.58699989318848,2.71000003814697,2.73900008201599,2.22199988365173,1.70799994468689,2.00300002098084,2.34299993515015,2.65899991989136,2.99699997901917,2.94799995422363,2.85199999809265,2.85899996757507,1.38199996948242,1.38100004196167,1.38800001144409,1.39699995517731,1.4099999666214,1.40499997138977,1.40900003910065,2.15300011634827,2.20700001716614
+Uganda,UGA,"Unemployment, male (% of male labor force) (national estimate)",SL.UEM.TOTL.MA.NE.ZS,..,..,..,..,..,2.59999990463257,2.70000004768372,..,1.70000004768372,..,..,..,..,..,..,2.86999988555908,1.37000000476837,..,..,..,3.15000009536743,..,..,..,..
+Uganda,UGA,"Unemployment, total (% of total labor force) (modeled ILO estimate)",SL.UEM.TOTL.ZS,2.20900011062622,2.47399997711182,2.71000003814697,3.02600002288818,3.2739999294281,3.5,3.59999990463257,2.74900007247925,1.89999997615814,2.28699994087219,2.72699999809265,3.1489999294281,3.59999990463257,3.58599996566772,3.51300001144409,3.54999995231628,1.9099999666214,1.90600001811981,1.91100001335144,1.91999995708466,1.932000041008,1.92299997806549,1.92499995231628,2.76799988746643,2.93600010871887
+Uganda,UGA,"Unemployment, total (% of total labor force) (national estimate)",SL.UEM.TOTL.NE.ZS,..,..,..,..,..,3.5,3.59999990463257,..,1.89999997615814,..,..,..,3.59999990463257,..,..,3.54999995231628,1.9099999666214,..,..,..,3.64000010490417,..,..,..,..
+Uganda,UGA,"Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.FE.ZS,3.95000004768372,4.46999979019165,4.95100021362305,5.51999998092651,6.01200008392334,6.48000001907349,6.66900014877319,4.84299993515015,3.04800009727478,3.74900007247925,4.50500011444092,5.2480001449585,6.02199983596802,6.01900005340576,5.95800018310547,5.99300003051758,3.32500004768372,3.36100006103516,3.40700006484985,3.45700001716614,3.51200008392334,3.54800009727478,3.59400010108948,4.76999998092651,5.28700017929077
+Uganda,UGA,"Unemployment, youth female (% of female labor force ages 15-24) (national estimate)",SL.UEM.1524.FE.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,6.03000020980835,3.21000003814697,..,..,..,5.92999982833862,..,..,..,..
+Uganda,UGA,"Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.MA.ZS,3.625,3.87199997901917,4.07999992370605,4.36999988555908,4.59100008010864,4.78900003433228,4.77899980545044,3.84599995613098,2.92899990081787,3.43600010871887,3.98000001907349,4.49100017547607,5.01800012588501,4.90000009536743,4.74300003051758,4.69099998474121,2.10199999809265,2.13299989700317,2.17000007629395,2.21099996566772,2.25600004196167,2.28500008583069,2.32299995422363,3.28999996185303,3.43199992179871
+Uganda,UGA,"Unemployment, youth male (% of male labor force ages 15-24) (national estimate)",SL.UEM.1524.MA.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4.76000022888184,1.98000001907349,..,..,..,5.59000015258789,..,..,..,..
+Uganda,UGA,"Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.ZS,3.78200006484985,4.16099977493286,4.50099992752075,4.92600011825562,5.27799987792969,5.60699987411499,5.69299983978271,4.32800006866455,2.98699998855591,3.58699989318848,4.2350001335144,4.8600001335144,5.50799989700317,5.44700002670288,5.33599996566772,5.3270001411438,2.70099997520447,2.73499989509583,2.77699995040894,2.82200002670288,2.87100005149841,2.90400004386902,2.94600009918213,4.00400018692017,4.33099985122681
+Uganda,UGA,"Unemployment, youth total (% of total labor force ages 15-24) (national estimate)",SL.UEM.1524.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.36999988555908,2.59999990463257,..,..,..,5.76000022888184,..,..,..,..
+Uganda,UGA,"Vulnerable employment, female (% of female employment) (modeled ILO estimate)",SL.EMP.VULN.FE.ZS,94.16999816894531,94.0200004577637,93.7399978637695,93.70999908447271,93.5200004577636,93.08000183105469,92.9099998474121,92.0200004577637,91.3599967956543,90.40999984741211,89.01000022888181,87.7799987792968,86.9999980926514,85.939998626709,84.8600006103516,83.3099994659423,82.7200012207031,82.30000114440921,81.9200000762939,81.1599998474122,81.109998703003,80.47000122070321,79.7999992370606,..,..
+Uganda,UGA,"Vulnerable employment, male (% of male employment) (modeled ILO estimate)",SL.EMP.VULN.MA.ZS,81.0900030136108,80.7799978256225,80.27999687194821,79.96000289916991,79.47000312805179,78.6999979019165,78.41000175476071,77.6599969863892,76.8899965286255,75.9900016784668,74.8100004196167,73.899998664856,73.73999881744379,72.6099996566772,70.829999923706,69.57999897003181,69.0199985504151,68.5699987411499,68.0400018692017,67.6500005722045,67.5299978256225,67.01999855041507,66.65000152587888,..,..
+Uganda,UGA,"Vulnerable employment, total (% of total employment) (modeled ILO estimate)",SL.EMP.VULN.ZS,87.1900005340576,86.980001449585,86.5799999237061,86.4200000762939,86.05999946594241,85.44000244140629,85.2099990844726,84.4499988555908,83.76000022888181,82.8500003814698,81.59000015258789,80.5400009155273,80.1000003814697,79.0200004577637,77.5900001525879,76.21000099182129,75.65999984741211,75.2400016784668,74.810001373291,74.2499980926514,74.1899995803833,73.6200008392334,73.109998703003,..,..
+Uganda,UGA,"Wage and salaried workers, female (% of female employment) (modeled ILO estimate)",SL.EMP.WORK.FE.ZS,5.67999982833862,5.82999992370605,6.1100001335144,6.13000011444092,6.32000017166138,6.75,6.90999984741211,7.71000003814697,8.28999996185303,9.10999965667725,10.3299999237061,11.3299999237061,11.6999998092651,12.3900003433228,13.1899995803833,14.0900001525879,14.4899997711182,14.7200002670288,15.0299997329712,15.6199998855591,15.6300001144409,16.2399997711182,16.8199996948242,..,..
+Uganda,UGA,"Wage and salaried workers, male (% of male employment) (modeled ILO estimate)",SL.EMP.WORK.MA.ZS,18.5699996948242,18.8700008392334,19.3700008392334,19.6900005340576,20.1700000762939,20.9400005340576,21.1900005340576,21.7999992370605,22.4200000762939,23.1200008392334,24.0200004577637,24.5400009155273,24,24.6000003814697,26.1299991607666,26.4599990844727,26.7000007629395,26.8899993896484,27.3600006103516,27.4799995422363,27.5300006866455,28.0400009155273,28.3400001525879,..,..
+Uganda,UGA,"Wage and salaried workers, total (% of total employment) (modeled ILO estimate)",SL.EMP.WORK.ZS,12.5500001907349,12.7700004577637,13.1599998474121,13.3299999237061,13.6800003051758,14.289999961853,14.4899997711182,15.1400003433228,15.710000038147,16.4500007629395,17.4799995422363,18.2199993133545,18.1100006103516,18.7299995422363,19.8999996185303,20.4899997711182,20.7800006866455,20.9699993133545,21.3500003814697,21.6900005340576,21.7000007629395,22.25,22.6900005340576,..,..
+Uganda,UGA,Women Business and the Law Index Score (scale 1-100),SG.LAW.INDX,46.875,46.875,46.875,46.875,46.875,46.875,46.875,46.875,46.875,65,67.5,67.5,67.5,70,70,70,70,70,70,70,70,70,73.125,73.125,73.125
+Uganda,UGA,"Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care  (% of women age 15-49)",SG.DMK.SRCR.FN.ZS,..,..,..,..,..,..,..,..,..,48,..,..,..,..,49,..,..,..,..,62,..,..,..,..,..
+Uganda,UGA,"Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)",SG.DMK.ALLD.FN.ZS,..,..,..,..,28.5,..,..,..,..,38.8,..,..,..,..,37.5,..,..,..,..,51.1,..,..,..,..,..
+Uganda,UGA,Women who believe a husband is justified in beating his wife (any of five reasons) (%),SG.VAW.REAS.ZS,..,..,..,..,76.5,..,..,..,..,70.2,..,..,..,..,58.3,..,..,..,..,49,..,..,..,..,..
+Uganda,UGA,Women who believe a husband is justified in beating his wife when she argues with him (%),SG.VAW.ARGU.ZS,..,..,..,..,36.9,..,..,..,..,39.9,..,..,..,..,28.5,..,..,..,..,26.1,..,..,..,..,..
+Uganda,UGA,Women who believe a husband is justified in beating his wife when she burns the food (%),SG.VAW.BURN.ZS,..,..,..,..,22.2,..,..,..,..,23.4,..,..,..,..,17.1,..,..,..,..,13.6,..,..,..,..,..
+Uganda,UGA,Women who believe a husband is justified in beating his wife when she goes out without telling him (%),SG.VAW.GOES.ZS,..,..,..,..,56.3,..,..,..,..,52.2,..,..,..,..,37.7,..,..,..,..,30,..,..,..,..,..
+Uganda,UGA,Women who believe a husband is justified in beating his wife when she neglects the children (%),SG.VAW.NEGL.ZS,..,..,..,..,67.3,..,..,..,..,56,..,..,..,..,45,..,..,..,..,38.5,..,..,..,..,..
+Uganda,UGA,Women who believe a husband is justified in beating his wife when she refuses sex with him (%),SG.VAW.REFU.ZS,..,..,..,..,24.2,..,..,..,..,30.5,..,..,..,..,21.9,..,..,..,..,18.1,..,..,..,..,..
+Djibouti,DJI,Adequacy of social insurance programs (% of total welfare of beneficiary households),per_si_allsi.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,34.8538524109419,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Adequacy of social protection and labor programs (% of total welfare of beneficiary households),per_allsp.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,28.9534337810507,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Adequacy of social safety net programs (% of total welfare of beneficiary households),per_sa_allsa.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,11.9092579029868,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households),per_lm_alllm.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Adjusted net national income (annual % growth),NY.ADJ.NNTY.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,15.696445844737838,10.346297193338998,3.1483408978399012,1.8886486333806687,14.462001974219675,12.040383577632412,0.8031142260813908,..
+Djibouti,DJI,Adjusted net national income (constant 2015 US$),NY.ADJ.NNTY.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1633941569.3294394,1890412322.8938944,2086000000,2151674391.1289406,2192311960.1117992,2509364159.064222,2811501229.1751842,2834080795.5131435,..
+Djibouti,DJI,Adjusted net national income (current US$),NY.ADJ.NNTY.CD,494100000,501300000,527200000,545700000,562600000,582100000,615700000,656000000,692400000,743000000,789900000,913800000,902800000,902100000,1013000000,1113000000,1579000000,1862000000,2086000000,2151000000,2204000000,2537000000,2844000000,2922000000,..
+Djibouti,DJI,Adjusted net national income per capita (annual % growth),NY.ADJ.NNTY.PC.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,13.712486749155772,8.500226162129579,1.4698657800297212,0.2716614260149868,12.692652135636322,10.356251088959368,-0.6706692126117986,..
+Djibouti,DJI,Adjusted net national income per capita (constant 2015 US$),NY.ADJ.NNTY.PC.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1849.8233540392341,2103.4801363446536,2282.2807052094204,2315.827168299515,2322.11837740896,2616.856785231162,2887.8650445481717,2868.497022792609,..
+Djibouti,DJI,Adjusted net national income per capita (current US$),NY.ADJ.NNTY.PC.CD,747.6643999164722,736.7021081172434,753.1719080593109,760.4758792436212,767.510801220705,779.3056267713773,810.5165743201705,850.1825430048509,884.0111944109656,935.1158008140416,980.6867165928369,1119.3577351196345,1090.5752458263873,1073.6806023370793,1186.6398179158014,1282.0571891961629,1787.6227221678803,2071.8654689459413,2282.2807052094204,2315.1013273893386,2334.498464145747,2645.676451602475,2921.2465217753042,2957.4838917330126,..
+Djibouti,DJI,"Adjusted net savings, excluding particulate emission damage (% of GNI)",NY.ADJ.SVNX.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,11.736952,16.478598,19.797382,13.885657,8.389561,13.948401,22.234417,30.289314,..
+Djibouti,DJI,"Adjusted net savings, excluding particulate emission damage (current US$)",NY.ADJ.SVNX.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,236500000,361100000,475800000,350400000,220200000,400400000,718300000,995300000,..
+Djibouti,DJI,"Adjusted net savings, including particulate emission damage (% of GNI)",NY.ADJ.SVNG.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,9.633464,14.339843,17.601845,11.601024,6.0292437,11.715457,20.150395,28.139598,..
+Djibouti,DJI,"Adjusted net savings, including particulate emission damage (current US$)",NY.ADJ.SVNG.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,194100000,314200000,423000000,292800000,158300000,336300000,651000000,924600000,..
+Djibouti,DJI,Adjusted savings: carbon dioxide damage (% of GNI),NY.ADJ.DCO2.GN.ZS,1.1261619,1.1454346,1.1371586,1.2252731,1.2653675,1.3314849,1.3503075,1.2812699,1.371312,1.3367227,1.3996354,1.2258716,1.1871377,1.302805,1.1457719,1.154499,0.90015065,0.70790322,0.78352627,0.69604549,0.67000039,0.66877888,0.59483844,0.5455845,..
+Djibouti,DJI,Adjusted savings: carbon dioxide damage (current US$),NY.ADJ.DCO2.CD,5798192.9,6011899.5,6236913.6,6947539.6,7400322.1,8074333,8681930.2,8822847.8,10002681,10585713,12202087,12648726,12711760,14929760,14297957,15946704,18137899,15510353,18830253,17565093,17586034,19198159,19217873,17926928,..
+Djibouti,DJI,Adjusted savings: consumption of fixed capital (% of GNI),NY.ADJ.DKAP.GN.ZS,3.3767211,3.558261,3.4895845,3.3912377,3.3989145,3.5737272,3.644336,4.175323,4.5657994,5.5795599,8.8910412,10.676276,14.963193,20.45438,17.95756,18.513923,21.094409,14.200256,12.521426,14.262378,15.433712,11.352036,11.627217,10.770969,..
+Djibouti,DJI,Adjusted savings: consumption of fixed capital (current US$),NY.ADJ.DKAP.CD,17385494,18675800,19139140,19228984,19878068,21671642,23431604,28751349,33304046,44185395,77512513,110200000,160200000,234400000,224100000,255700000,425000000,311100000,300900000,359900000,405100000,325900000,375600000,353900000,..
+Djibouti,DJI,Adjusted savings: education expenditure (% of GNI),NY.ADJ.AEDU.GN.ZS,6.3610052,6.8878394,7.4146736,9.2653951,7.5134123,8.0426727,8.4487687,8.727835,7.9085149,7.7664767,7.8028827,7.8028827,7.8028827,7.8028827,7.8028827,7.8028827,7.8028827,7.8028827,7.8028827,7.8028827,7.8028827,7.8028827,7.8028827,7.8028827,..
+Djibouti,DJI,Adjusted savings: education expenditure (current US$),NY.ADJ.AEDU.CD,32750474,36151342,40666870,52536611,43941124,48772028,54322159,60100029,57686623,61503927,68025897,80511304,83552545,89418724,97371279,107800000,157200000,171000000,187500000,196900000,204800000,224000000,252100000,256400000,..
+Djibouti,DJI,Adjusted savings: energy depletion (% of GNI),NY.ADJ.DNGY.GN.ZS,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,..
+Djibouti,DJI,Adjusted savings: energy depletion (current US$),NY.ADJ.DNGY.CD,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,..
+Djibouti,DJI,Adjusted savings: gross savings (% of GNI),NY.ADJ.ICTR.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,26.458463,24.38139,25.967893,21.541248,17.291786,18.447149,26.995092,34.111256,..
+Djibouti,DJI,Adjusted savings: mineral depletion (% of GNI),NY.ADJ.DMIN.GN.ZS,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,..
+Djibouti,DJI,Adjusted savings: mineral depletion (current US$),NY.ADJ.DMIN.CD,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,..
+Djibouti,DJI,Adjusted savings: natural resources depletion (% of GNI),NY.ADJ.DRES.GN.ZS,0.66088558,0.92823458,0.38225649,0.37144018,0.40714183,0.44282097,0.6027917,0.55440221,0.51416438,0.59845121,0.50897244,0.76538134,0.72816443,0.82546015,0.88223796,0.87589421,0.52983457,0.79751551,0.66844192,0.50005003,0.60139588,0.28081644,0.34150325,0.30827144,..
+Djibouti,DJI,Adjusted savings: net forest depletion (% of GNI),NY.ADJ.DFOR.GN.ZS,0.66088558,0.92823458,0.38225649,0.37144018,0.40714183,0.44282097,0.6027917,0.55440221,0.51416438,0.59845121,0.50897244,0.76538134,0.72816443,0.82546015,0.88223796,0.87589421,0.52983457,0.79751551,0.66844192,0.50005003,0.60139588,0.28081644,0.34150325,0.30827144,..
+Djibouti,DJI,Adjusted savings: net forest depletion (current US$),NY.ADJ.DFOR.CD,3402656.6,4871908.8,2096542,2106138.8,2381111.1,2685335.7,3875706.3,3817623.6,3750439.4,4739227.4,4437245.5,7897318.5,7797117.3,9459528.7,11009346,12098430,10676086,17473783,16064465,12619039,15785316,8061197.3,11033191,10129246,..
+Djibouti,DJI,Adjusted savings: net national savings (% of GNI),NY.ADJ.NNAT.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.3640546,10.181134,13.446467,7.2788695,1.8580746,7.0951133,15.367876,23.340287,..
+Djibouti,DJI,Adjusted savings: net national savings (current US$),NY.ADJ.NNAT.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,108100000,223100000,323200000,183700000,48770363,203700000,496500000,766900000,..
+Djibouti,DJI,Adjusted savings: particulate emission damage (% of GNI),NY.ADJ.DPEM.GN.ZS,4.6041495,4.5906358,4.3331956,4.1744439,3.9561516,3.7115875,3.4484926,3.2948575,3.1816066,3.0536096,2.962053,2.6676824,2.6981007,2.7264796,2.6831179,2.6430124,2.103488,2.1387554,2.1955364,2.2846331,2.3603173,2.2329436,2.084022,2.1497162,..
+Djibouti,DJI,Adjusted savings: particulate emission damage (current US$),NY.ADJ.DPEM.CD,23705071,24094297,23766050,23669917,23136990,22507648,22172410,22688448,23207409,24182005,25823316,27525544,28891013,31244649,33482321,36507035,42384964,46860717,52764671,57653981,61953129,64099521,67329997,70635818,..
+Djibouti,DJI,"Agriculture, forestry, and fishing, value added (annual % growth)",NV.AGR.TOTL.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,-1.82111572153066,1.3302183611176446,-4.364272483382592,35.13680869543242,14.992165591566462,12.868802673177399,11.48969287797614,..
+Djibouti,DJI,"Agriculture, forestry, and fishing, value added (constant 2015 US$)",NV.AGR.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,25807431.27982465,25337448.09146454,25674491.478215855,24553986.71138367,33181474.049264453,38156095.58445284,43066328.23300503,48014517.08079844,..
+Djibouti,DJI,"Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)",NV.AGR.EMPL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,285.66108147133684,283.4402965416095,290.844030602869,281.93363913514526,384.7048885114221,451.17686327355193,462.11351692874246,..,..
+Djibouti,DJI,"Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)",SI.SPR.PC40.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Annualized average growth rate in per capita real survey mean consumption or income, total population (%)",SI.SPR.PCAP.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Average working hours of children, study and work, ages 7-14 (hours per week)",SL.TLF.0714.SW.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Average working hours of children, study and work, female, ages 7-14 (hours per week)",SL.TLF.0714.SW.FE.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Average working hours of children, study and work, male, ages 7-14 (hours per week)",SL.TLF.0714.SW.MA.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Average working hours of children, working only, ages 7-14 (hours per week)",SL.TLF.0714.WK.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Average working hours of children, working only, female, ages 7-14 (hours per week)",SL.TLF.0714.WK.FE.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Average working hours of children, working only, male, ages 7-14 (hours per week)",SL.TLF.0714.WK.MA.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits),per_si_allsi.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4.47806485127851,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits),per_allsp.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10.2847267061281,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits),per_sa_allsa.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,53.8215017451067,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits),per_lm_alllm.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Child employment in agriculture (% of economically active children ages 7-14),SL.AGR.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Child employment in agriculture, female (% of female economically active children ages 7-14)",SL.AGR.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Child employment in agriculture, male (% of male economically active children ages 7-14)",SL.AGR.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Child employment in manufacturing (% of economically active children ages 7-14),SL.MNF.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Child employment in manufacturing, female (% of female economically active children ages 7-14)",SL.MNF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Child employment in manufacturing, male (% of male economically active children ages 7-14)",SL.MNF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Child employment in services (% of economically active children ages 7-14),SL.SRV.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Child employment in services, female (% of female economically active children ages 7-14)",SL.SRV.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Child employment in services, male (% of male economically active children ages 7-14)",SL.SRV.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, female (% of female children ages 7-14)",SL.TLF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, male (% of male children ages 7-14)",SL.TLF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, self-employed (% of children in employment, ages 7-14)",SL.SLF.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, self-employed, female (% of female children in employment, ages 7-14)",SL.SLF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, self-employed, male (% of male children in employment, ages 7-14)",SL.SLF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, study and work (% of children in employment, ages 7-14)",SL.TLF.0714.SW.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, study and work, female (% of female children in employment, ages 7-14)",SL.TLF.0714.SW.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, study and work, male (% of male children in employment, ages 7-14)",SL.TLF.0714.SW.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, total (% of children ages 7-14)",SL.TLF.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, unpaid family workers (% of children in employment, ages 7-14)",SL.FAM.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14)",SL.FAM.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14)",SL.FAM.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, wage workers (% of children in employment, ages 7-14)",SL.WAG.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, wage workers, female (% of female children in employment, ages 7-14)",SL.WAG.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, wage workers, male (% of male children in employment, ages 7-14)",SL.WAG.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, work only (% of children in employment, ages 7-14)",SL.TLF.0714.WK.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, work only, female (% of female children in employment, ages 7-14)",SL.TLF.0714.WK.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Children in employment, work only, male (% of male children in employment, ages 7-14)",SL.TLF.0714.WK.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Community health workers (per 1,000 people)",SH.MED.CMHW.P3,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Contributing family workers, female (% of female employment) (modeled ILO estimate)",SL.FAM.WORK.FE.ZS,9.27999973297119,9.22999954223633,8.89000034332275,8.5,8.03999996185303,7.6100001335144,7.28999996185303,6.90999984741211,6.57000017166138,6.1399998664856,5.63000011444092,5.05000019073486,5.1399998664856,5.01999998092651,5.07999992370605,4.86999988555908,4.61999988555908,4.32000017166138,3.97000002861023,3.72000002861023,3.35999989509583,3.15000009536743,2.85999989509583,..,..
+Djibouti,DJI,"Contributing family workers, male (% of male employment) (modeled ILO estimate)",SL.FAM.WORK.MA.ZS,5.28000020980835,5.3600001335144,5.17999982833862,5,4.78000020980835,4.53000020980835,4.34999990463257,4.13000011444092,3.95000004768372,3.67000007629395,3.32999992370605,2.94000005722046,3.02999997138977,2.99000000953674,3.02999997138977,2.91000008583069,2.78999996185303,2.59999990463257,2.35999989509583,2.19000005722046,1.97000002861023,1.82000005245209,1.62999999523163,..,..
+Djibouti,DJI,"Contributing family workers, total (% of total employment) (modeled ILO estimate)",SL.FAM.WORK.ZS,6.75,6.78999996185303,6.55000019073486,6.30999994277954,6.01000022888184,5.69999980926514,5.48000001907349,5.19999980926514,4.96000003814697,4.63000011444092,4.21999979019165,3.75999999046326,3.84999990463257,3.76999998092651,3.8199999332428,3.67000007629395,3.50999999046326,3.26999998092651,3,2.78999996185303,2.51999998092651,2.34999990463257,2.11999988555908,..,..
+Djibouti,DJI,Coverage of social insurance programs (% of population),per_si_allsi.cov_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,8.50192378981733,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of social insurance programs in 2nd quintile (% of population),per_si_allsi.cov_q2_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,8.64577221745292,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of social insurance programs in 3rd quintile (% of population),per_si_allsi.cov_q3_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,10.4667005378496,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of social insurance programs in 4th quintile (% of population),per_si_allsi.cov_q4_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,8.4743027882944,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of social insurance programs in poorest quintile (% of population),per_si_allsi.cov_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.33148698049873,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of social insurance programs in richest quintile (% of population),per_si_allsi.cov_q5_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,9.58643402720634,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of social protection and labor programs (% of population),per_allsp.cov_pop_tot,..,..,..,..,..,2.94569267772138,..,..,..,..,..,..,..,..,..,20.9419414778464,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of social safety net programs (% of population),per_sa_allsa.cov_pop_tot,..,..,..,..,..,2.8197486912029,..,..,..,..,..,..,..,..,..,9.52545220283742,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of social safety net programs in 2nd quintile (% of population),per_sa_allsa.cov_q2_tot,..,..,..,..,..,2.46028638996766,..,..,..,..,..,..,..,..,..,9.37726794510168,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of social safety net programs in 3rd quintile (% of population),per_sa_allsa.cov_q3_tot,..,..,..,..,..,2.95510706309743,..,..,..,..,..,..,..,..,..,3.83395055870151,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of social safety net programs in 4th quintile (% of population),per_sa_allsa.cov_q4_tot,..,..,..,..,..,3.88785838990846,..,..,..,..,..,..,..,..,..,2.04507433519359,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of social safety net programs in poorest quintile (% of population),per_sa_allsa.cov_q1_tot,..,..,..,..,..,2.36822416371687,..,..,..,..,..,..,..,..,..,30.8282557262149,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of social safety net programs in richest quintile (% of population),per_sa_allsa.cov_q5_tot,..,..,..,..,..,2.42782812725454,..,..,..,..,..,..,..,..,..,1.57089569280909,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of unemployment benefits and ALMP (% of population),per_lm_alllm.cov_pop_tot,..,..,..,..,..,0.125943986518477,..,..,..,..,..,..,..,..,..,4.32677046139511,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of unemployment benefits and ALMP in 2nd quintile (% of population),per_lm_alllm.cov_q2_tot,..,..,..,..,..,0.267632399134343,..,..,..,..,..,..,..,..,..,3.28831197746183,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of unemployment benefits and ALMP in 3rd quintile (% of population),per_lm_alllm.cov_q3_tot,..,..,..,..,..,0.135157409503489,..,..,..,..,..,..,..,..,..,5.24286396144475,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of unemployment benefits and ALMP in 4th quintile (% of population),per_lm_alllm.cov_q4_tot,..,..,..,..,..,0.0472224407812826,..,..,..,..,..,..,..,..,..,5.14130124753209,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of unemployment benefits and ALMP in poorest quintile (% of population),per_lm_alllm.cov_q1_tot,..,..,..,..,..,0.0136270353993481,..,..,..,..,..,..,..,..,..,2.19500224253495,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Coverage of unemployment benefits and ALMP in richest quintile (% of population),per_lm_alllm.cov_q5_tot,..,..,..,..,..,0.1659480660055,..,..,..,..,..,..,..,..,..,5.76244935008948,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Current health expenditure (% of GDP),SH.XPD.CHEX.GD.ZS,..,..,..,2.93908072,2.8072207,3.58787632,3.97685766,3.32442927,3.22467232,3.48426819,3.41498637,3.19098687,3.21451879,3.06150365,3.3765645,3.299927,2.92013574,2.96522927,3.07556486,2.7274003,2.46476841,2.26254249,1.79826784,..,..
+Djibouti,DJI,Current health expenditure per capita (current US$),SH.XPD.CHEX.PC.CD,..,..,..,31.95798492,31.04225731,40.19449615,46.11334229,40.28805161,40.95962524,47.32995605,50.44793701,53.96245575,55.32074356,56.2014122,68.77837372,72.22033691,67.53491211,73.12316895,82.28987885,76.8683548,72.23477173,71.08630371,61.80943298,..,..
+Djibouti,DJI,"Current health expenditure per capita, PPP (current international $)",SH.XPD.CHEX.PP.CD,..,..,..,70.82596588,68.89014435,90.61211395,103.79589844,90.15970612,91.60031128,105.36799622,109.86113739,109.2483902,111.12482452,109.8675766,130.63053894,130.61026001,119.84156799,127.26846313,141.57090759,128.72476196,121.08282471,121.57725525,104.1417923,..,..
+Djibouti,DJI,Domestic general government health expenditure (% of current health expenditure),SH.XPD.GHED.CH.ZS,..,..,..,48.00641632,44.59395599,35.86056137,37.82312775,43.28553009,43.34220123,49.54573059,50.82165146,57.3996048,59.26670837,60.67915726,63.49311447,57.27902222,61.89267731,59.48296738,55.04614258,48.48154068,46.43397141,49.40739822,53.66573334,..,..
+Djibouti,DJI,Domestic general government health expenditure (% of GDP),SH.XPD.GHED.GD.ZS,..,..,..,1.4109472,1.25185072,1.28663254,1.50417197,1.43899679,1.39764392,1.7263062,1.73555219,1.8316139,1.90513957,1.85769463,2.14388585,1.89016593,1.80735016,1.76380634,1.69297981,1.32228565,1.14448988,1.11786342,0.96505356,..,..
+Djibouti,DJI,Domestic general government health expenditure (% of general government expenditure),SH.XPD.GHED.GE.ZS,..,..,..,6.07547617,5.96840477,5.49563599,5.81530714,5.38615036,5.32781839,7.23246336,6.52659225,6.34888029,6.13991737,6.97048664,8.47449207,7.13329411,6.73504782,6.07299089,4.06950951,4.06950951,4.06950951,4.31139421,4.28400278,..,..
+Djibouti,DJI,Domestic general government health expenditure per capita (current US$),SH.XPD.GHED.PC.CD,..,..,..,15.3418831,13.84297028,14.41397308,17.44150759,17.43889722,17.75280199,23.4499744,25.63847374,30.97423629,32.78678409,34.10254198,43.66953435,41.36710264,41.79916365,43.49582708,45.2974055,37.26695846,33.54147372,35.12189169,33.17048432,..,..
+Djibouti,DJI,"Domestic general government health expenditure per capita, PPP (current international $)",SH.XPD.GHED.PP.CD,..,..,..,34.00100634,30.72084145,32.4940142,39.25885364,39.02610504,39.70158928,52.20534557,55.8332416,62.70814763,65.86002473,66.66671389,82.94140352,74.81227802,74.17314554,75.70305789,77.92932335,62.40774082,56.22356234,60.06815927,55.8884566,..,..
+Djibouti,DJI,Domestic private health expenditure (% of current health expenditure),SH.XPD.PVTD.CH.ZS,..,..,..,51.99358368,55.40604401,43.33620834,37.42380905,41.85393906,42.25835037,38.17026138,36.29995728,32.11385727,30.64589882,29.5377636,25.22384834,24.23509026,25.01658249,23.93575096,21.76084518,24.55328941,27.70902824,30.8210144,25.57739258,..,..
+Djibouti,DJI,Domestic private health expenditure per capita (current US$),SH.XPD.PVTD.PC.CD,..,..,..,16.616103,17.1992863,17.41877171,17.25736932,16.86213724,17.30886212,18.06596988,18.31258079,17.32942738,16.95353746,16.60064131,17.34855246,17.50266525,16.8949278,17.50257911,17.90697349,18.87370874,20.01555327,21.90951819,15.80924087,..,..
+Djibouti,DJI,"Domestic private health expenditure per capita, PPP (current international $)",SH.XPD.PVTD.PP.CD,..,..,..,36.82495948,38.16930448,39.26785572,38.8443793,37.73538721,38.70878159,40.21924224,39.87954812,35.08387682,34.05519715,32.45242554,32.95004885,31.65351632,29.98026347,30.46266385,30.80702552,31.60616192,33.55087247,37.47134236,26.63675525,..,..
+Djibouti,DJI,"Employers, female (% of female employment) (modeled ILO estimate)",SL.EMP.MPYR.FE.ZS,0.449999988079071,0.469999998807907,0.469999998807907,0.469999998807907,0.490000009536743,0.479999989271164,0.479999989271164,0.479999989271164,0.5,0.490000009536743,0.479999989271164,0.469999998807907,0.469999998807907,0.490000009536743,0.5,0.490000009536743,0.540000021457672,0.540000021457672,0.529999971389771,0.519999980926514,0.509999990463257,0.519999980926514,0.519999980926514,..,..
+Djibouti,DJI,"Employers, male (% of male employment) (modeled ILO estimate)",SL.EMP.MPYR.MA.ZS,1.01999998092651,1.0900000333786,1.07000005245209,1.08000004291534,1.12999999523163,1.11000001430511,1.10000002384186,1.0900000333786,1.12999999523163,1.10000002384186,1.08000004291534,1.02999997138977,1.01999998092651,1.08000004291534,1.0900000333786,1.05999994277954,1.19000005722046,1.16999995708466,1.13999998569489,1.08000004291534,1.05999994277954,1.05999994277954,1.04999995231628,..,..
+Djibouti,DJI,"Employers, total (% of total employment) (modeled ILO estimate)",SL.EMP.MPYR.ZS,0.810000002384186,0.860000014305115,0.839999973773956,0.850000023841858,0.889999985694885,0.870000004768372,0.860000014305115,0.860000014305115,0.879999995231628,0.860000014305115,0.850000023841858,0.810000002384186,0.810000002384186,0.850000023841858,0.860000014305115,0.839999973773956,0.930000007152557,0.930000007152557,0.899999976158142,0.860000014305115,0.850000023841858,0.850000023841858,0.839999973773956,..,..
+Djibouti,DJI,Employment in agriculture (% of total employment) (modeled ILO estimate),SL.AGR.EMPL.ZS,40.8699989318848,40.7299995422363,40.3899993896484,40.0800018310547,39.5999984741211,38.9700012207031,38.310001373291,37.6500015258789,36.939998626709,36.0999984741211,35.2299995422363,34.2999992370605,33.6399993896484,32.8199996948242,31.8299999237061,30.9899997711182,30.1499996185303,29.1900005340576,28.2099990844727,27.2900009155273,26.4500007629395,25.4699993133545,24.5499992370605,..,..
+Djibouti,DJI,"Employment in agriculture, female (% of female employment) (modeled ILO estimate)",SL.AGR.EMPL.FE.ZS,42.7400016784668,42.2299995422363,41.6100006103516,40.9000015258789,40.0499992370605,39.1399993896484,38.2200012207031,37.2900009155273,36.310001373291,35.2999992370605,34.25,33.2000007629395,32.2299995422363,31.2199993133545,30.1399993896484,29.1499996185303,28.1599998474121,27.1100006103516,26.0799999237061,25.0699996948242,24.1100006103516,23.1100006103516,22.1399993896484,..,..
+Djibouti,DJI,"Employment in agriculture, male (% of male employment) (modeled ILO estimate)",SL.AGR.EMPL.MA.ZS,39.7799987792969,39.8499984741211,39.6699981689453,39.5900001525879,39.3300018310547,38.8699989318848,38.3699989318848,37.8800010681152,37.3300018310547,36.5999984741211,35.8400001525879,35,34.5299987792969,33.8400001525879,32.8899993896484,32.1599998474121,31.4300003051758,30.5200004577637,29.5900001525879,28.7299995422363,27.9699993133545,27.0200004577637,26.1399993896484,..,..
+Djibouti,DJI,Employment in industry (% of total employment) (modeled ILO estimate),SL.IND.EMPL.ZS,14.8100004196167,14.5699996948242,14.3299999237061,14.1099996566772,13.9099998474121,13.7299995422363,13.5799999237061,13.4399995803833,13.3400001525879,13.2700004577637,13.210000038147,13.1599998474121,13.1400003433228,13.1300001144409,13.1300001144409,13.1499996185303,13.1800003051758,13.25,13.3000001907349,13.3500003814697,13.3999996185303,13.4200000762939,13.4399995803833,..,..
+Djibouti,DJI,"Employment in industry, female (% of female employment) (modeled ILO estimate)",SL.IND.EMPL.FE.ZS,9.1899995803833,9.07999992370605,8.9399995803833,8.85000038146973,8.75,8.60999965667725,8.47999954223633,8.35000038146973,8.22999954223633,8.10000038146973,7.96999979019165,7.82000017166138,7.76000022888184,7.65999984741211,7.53000020980835,7.44000005722046,7.34999990463257,7.28999996185303,7.19000005722046,7.09999990463257,7.03999996185303,6.90000009536743,6.80000019073486,..,..
+Djibouti,DJI,"Employment in industry, male (% of male employment) (modeled ILO estimate)",SL.IND.EMPL.MA.ZS,18.1000003814697,17.7800006866455,17.5,17.2399997711182,17.0200004577637,16.8600006103516,16.7399997711182,16.6499996185303,16.5699996948242,16.5400009155273,16.5200004577637,16.5200004577637,16.5300006866455,16.5799999237061,16.6700000762939,16.7700004577637,16.9099998474121,17.0799999237061,17.25,17.4099998474121,17.5599994659424,17.7000007629395,17.8099994659424,..,..
+Djibouti,DJI,Employment in services (% of total employment) (modeled ILO estimate),SL.SRV.EMPL.ZS,44.3199996948242,44.7099990844727,45.2799987792969,45.810001373291,46.4900016784668,47.2999992370605,48.1100006103516,48.9099998474121,49.7200012207031,50.6399993896484,51.5699996948242,52.5400009155273,53.2200012207031,54.0499992370605,55.0400009155273,55.8600006103516,56.6699981689453,57.560001373291,58.5,59.3600006103516,60.1500015258789,61.1100006103516,62,..,..
+Djibouti,DJI,"Employment in services, female (% of female employment) (modeled ILO estimate)",SL.SRV.EMPL.FE.ZS,48.0800018310547,48.689998626709,49.4500007629395,50.25,51.2099990844727,52.2400016784668,53.2999992370605,54.3699989318848,55.4500007629395,56.5999984741211,57.7799987792969,58.9799995422363,60.0200004577637,61.1199989318848,62.3300018310547,63.4199981689453,64.4899978637695,65.5999984741211,66.7399978637695,67.8300018310547,68.8499984741211,69.9899978637695,71.0599975585938,..,..
+Djibouti,DJI,"Employment in services, male (% of male employment) (modeled ILO estimate)",SL.SRV.EMPL.MA.ZS,42.1199989318848,42.3699989318848,42.8300018310547,43.1599998474121,43.6500015258789,44.2700004577637,44.8800010681152,45.4700012207031,46.0900001525879,46.8499984741211,47.6399993896484,48.4799995422363,48.939998626709,49.5900001525879,50.439998626709,51.060001373291,51.6599998474121,52.4000015258789,53.1599998474121,53.8699989318848,54.4700012207031,55.2799987792969,56.0499992370605,..,..
+Djibouti,DJI,"Employment to population ratio, 15+, female (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.FE.ZS,9.22700023651123,9.26799964904785,9.33399963378906,9.42399978637695,9.49899959564209,9.60799980163574,9.72799968719482,9.83699989318848,9.92899990081787,10.0799999237061,10.2130002975464,10.3470001220703,10.4779996871948,10.6339998245239,10.7220001220703,10.7969999313354,10.8760004043579,10.9659996032715,11.0609998703003,11.1029996871948,11.1800003051758,11.2720003128052,11.3439998626709,10.4650001525879,10.4409999847412
+Djibouti,DJI,"Employment to population ratio, 15+, female (%) (national estimate)",SL.EMP.TOTL.SP.FE.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,11.6700000762939,..,..,..,..
+Djibouti,DJI,"Employment to population ratio, 15+, male (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.MA.ZS,41.2770004272461,41.2220001220703,41.125,40.8959999084473,40.8240013122559,40.6669998168945,40.4070014953613,40.0670013427734,39.6580009460449,38.9570007324219,38.193000793457,37.4339981079102,36.7239990234375,36.1679992675781,35.9099998474121,35.7319984436035,35.6339988708496,35.5530014038086,35.4370002746582,35.3709983825684,35.2480010986328,34.9379997253418,34.6279983520508,33.2970008850098,33.3059997558594
+Djibouti,DJI,"Employment to population ratio, 15+, male (%) (national estimate)",SL.EMP.TOTL.SP.MA.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,36.6399993896484,..,..,..,..
+Djibouti,DJI,"Employment to population ratio, 15+, total (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.ZS,25.2849998474121,25.2779998779297,25.2549991607666,25.1709995269775,25.1399993896484,25.0769996643066,24.9860000610352,24.8899993896484,24.798999786377,24.6359996795654,24.4699993133545,24.3110008239746,24.1439990997314,24.0200004577637,23.9810009002686,23.9400005340576,23.9200000762939,23.9080009460449,23.882999420166,23.882999420166,23.8600006103516,23.742000579834,23.6189994812012,22.5139999389648,22.5060005187988
+Djibouti,DJI,"Employment to population ratio, 15+, total (%) (national estimate)",SL.EMP.TOTL.SP.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,23.8600006103516,..,..,..,..
+Djibouti,DJI,"Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)",SL.EMP.1524.SP.FE.ZS,8.48799991607666,8.32400035858154,8.13199996948242,7.82600021362305,7.62400007247925,7.36100006103516,7.0460000038147,6.71700000762939,6.39400005340576,5.92000007629395,5.42999982833862,4.93300008773804,4.41300010681152,3.95099997520447,3.69899988174438,3.45499992370605,3.2409999370575,3.04299998283386,2.83599996566772,2.66799998283386,2.47499990463257,2.42700004577637,2.37599992752075,1.76999998092651,1.89499998092651
+Djibouti,DJI,"Employment to population ratio, ages 15-24, female (%) (national estimate)",SL.EMP.1524.SP.FE.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2.98000001907349,..,..,..,..
+Djibouti,DJI,"Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)",SL.EMP.1524.SP.MA.ZS,18.5659999847412,18.0790004730225,17.5049991607666,16.6070003509521,16.0310001373291,15.2880001068115,14.4169998168945,13.5380001068115,12.7019996643066,11.4259996414185,10.1850004196167,9.00599956512451,7.8439998626709,6.87599992752075,6.39400005340576,5.93900012969971,5.55000019073486,5.19700002670288,4.83300018310547,4.55999994277954,4.22499990463257,4.07000017166138,3.9210000038147,3.02600002288818,3.30999994277954
+Djibouti,DJI,"Employment to population ratio, ages 15-24, male (%) (national estimate)",SL.EMP.1524.SP.MA.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.01000022888184,..,..,..,..
+Djibouti,DJI,"Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)",SL.EMP.1524.SP.ZS,13.5570001602173,13.2329998016357,12.8489999771118,12.2440004348755,11.8479995727539,11.3369998931885,10.7390003204346,10.1409997940063,9.57699966430664,8.71599960327148,7.87099981307983,7.05299997329712,6.22300004959106,5.51300001144409,5.14900016784668,4.7960000038147,4.48999977111816,4.20900011062622,3.91799998283386,3.69600009918213,3.42600011825562,3.32100009918213,3.21700000762939,2.45499992370605,2.66700005531311
+Djibouti,DJI,"Employment to population ratio, ages 15-24, total (%) (national estimate)",SL.EMP.1524.SP.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3.99000000953674,..,..,..,..
+Djibouti,DJI,Exports of goods and services (annual % growth),NE.EXP.GNFS.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,6.892568186058682,1.3390909147941414,-25.13039495728256,52.52605574599252,9.860969304551375,9.21487315697658,-29.704691173842463,..
+Djibouti,DJI,Exports of goods and services (constant 2015 US$),NE.EXP.GNFS.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3254665297.6658177,3478995322.5354238,3525582232.8256087,2639589493.1727514,4026061741.822032,4423070454.365389,4830650786.378867,3395720888.598232,..
+Djibouti,DJI,External health expenditure (% of current health expenditure),SH.XPD.EHEX.CH.ZS,..,..,..,0,0,20.80323029,24.7530632,14.86052895,14.39944839,12.28400421,12.87839222,10.48653603,10.08739281,9.78307915,11.28303623,18.48588943,13.09074306,16.58128166,23.19301224,26.96517181,25.85700226,19.77158546,20.75687408,..,..
+Djibouti,DJI,External health expenditure per capita (current US$),SH.XPD.EHEX.PC.CD,..,..,..,0,0,8.36175363,11.41446368,5.98701737,5.89795975,5.8140142,6.4968837,5.65879255,5.58042065,5.49822847,7.76028924,13.35057176,8.84082198,12.12475824,19.0855017,20.72768289,18.67774527,14.05488918,12.82970493,..,..
+Djibouti,DJI,"External health expenditure per capita, PPP (current international $)",SH.XPD.EHEX.PP.CD,..,..,..,0,0,18.85024619,25.692662,13.3982078,13.18993902,12.94340946,14.1483491,11.45637281,11.20959717,10.74843115,14.73909194,24.144468,15.68815063,21.10274333,32.83455679,34.71085153,31.30838509,24.03775199,21.61657937,..,..
+Djibouti,DJI,Female share of employment in senior and middle management (%),SL.EMP.SMGT.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Final consumption expenditure (annual % growth),NE.CON.TOTL.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,9.464302836088478,9.072814795832713,14.651109165245856,8.711069302860025,0.7794015066011895,3.7222394810202672,8.194237050143926,..
+Djibouti,DJI,Final consumption expenditure (constant 2015 US$),NE.CON.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1654223713.1289177,1810784454.925826,1975073574.872975,2264443760.4215384,2461701025.7161484,2480887560.598597,2573232136.8589187,2784088878.003622,..
+Djibouti,DJI,GDP (constant 2015 US$),NY.GDP.MKTP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2105985489.123518,2254700565.115364,2424391785.4389744,2597091693.865469,2738843335.3025575,2869607134.048346,3028730597.3367143,3065136606.435847,3197233617.0244007
+Djibouti,DJI,GDP growth (annual %),NY.GDP.MKTP.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,7.061543242339212,7.526108918810166,7.123432337287198,5.458091517211997,4.774416888337399,5.545130599946702,1.2020220329647486,4.30966144579628
+Djibouti,DJI,GDP per capita (constant 2015 US$),NY.GDP.PCAP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2384.235283668802,2508.827198536747,2652.5132280803396,2795.22567541598,2901.009782123247,2992.531344068654,3110.994628292657,3102.3587061927474,3190.2246933730603
+Djibouti,DJI,GDP per capita growth (annual %),NY.GDP.PCAP.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.225655191052539,5.727219061854754,5.380272785252927,3.7844567484349767,3.154817419416716,3.9586313593273985,-0.277593603710244,2.8322317146924405
+Djibouti,DJI,"GDP per capita, PPP (constant 2017 international $)",NY.GDP.PCAP.PP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4031.2233463990647,4241.881178463089,4484.823005897256,4726.118717550307,4904.976636295689,5059.719693635865,5260.015344122198,5245.413877972738,5393.976153391561
+Djibouti,DJI,"GDP per capita, PPP (current international $)",NY.GDP.PCAP.PP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4103.941203662569,4289.034249936545,4563.377343226545,4695.100996049126,4904.976636295689,5180.596948273089,5482.012135571669,5532.682123082326,5925.79529621207
+Djibouti,DJI,GDP per person employed (constant 2017 PPP $),SL.GDP.PCAP.EM.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,24529.75287426312,25694.622138852752,27041.72086779088,28404.37306019153,29360.074828984558,30260.52369559356,31457.437286165372,32774.158760141036,33568.22354073871
+Djibouti,DJI,"GDP, PPP (constant 2017 international $)",NY.GDP.MKTP.PP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3560763456.9809084,3812208308.2530274,4099119257.74408,4391117244.494189,4630788442.32676,4851881587.780385,5120924758.377575,5182479402.264821,5405826719.000562
+Djibouti,DJI,"GDP, PPP (current international $)",NY.GDP.MKTP.PP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3624994849.430332,3854585103.657723,4170917764.9543757,4362298152.146175,4630788442.32676,4967793567.428875,5337051288.670748,5466301002.969584,5938814268.477848
+Djibouti,DJI,General government final consumption expenditure (annual % growth),NE.CON.GOVT.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,9.863059732840455,4.852308378578172,25.041320618748756,3.495778098885012,1.8032812585591813,-3.8906932525250397,1.625003414025585,..
+Djibouti,DJI,General government final consumption expenditure (constant 2015 US$),NE.CON.GOVT.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,419052863.27950317,460384297.4969388,482723563.33804107,603603918.5357686,624704572.1239538,635969752.5944273,611226120.3421358,621158565.6651117,..
+Djibouti,DJI,Gini index,SI.POV.GINI,..,..,..,..,..,40,..,..,..,..,..,..,..,..,..,45.1,44.1,..,..,..,41.6,..,..,..,..
+Djibouti,DJI,GNI (constant 2015 US$),NY.GNP.MKTP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2077204890.583858,2230683815.886609,2397387660.996731,2517275031.1541142,2613210502.790188,2729392378.7423973,2936182677.885242,2969770287.9328895,..
+Djibouti,DJI,GNI growth (annual %),NY.GNP.MKTP.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,7.388723471549866,7.473217132920439,5.000750279474602,3.8110842259492443,4.445944015155277,7.576422531014984,1.1439209930847625,..
+Djibouti,DJI,GNI per capita (constant 2015 US$),NY.GNP.PCAP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2351.6520969005383,2482.1035286101132,2622.968169511017,2709.319742458823,2767.9382510223363,2846.3102655191265,3015.932994046822,3005.834287716917,..
+Djibouti,DJI,GNI per capita growth (annual %),NY.GNP.PCAP.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.547224943753747,5.6752121447481585,3.2921319424132918,2.1635876949065675,2.83142206903797,5.959389971730957,-0.3348451822318168,..
+Djibouti,DJI,"GNI per capita, Atlas method (current US$)",NY.GNP.PCAP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2540,2640,2730,2910,3110,3120,3300
+Djibouti,DJI,"GNI per capita, PPP (constant 2017 international $)",NY.GNP.PCAP.PP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3976.2163743629526,4196.786040899236,4434.962551981444,4580.967370789293,4680.080617131376,4812.593452573602,5099.394664166453,5082.319586810507,..
+Djibouti,DJI,"GNI per capita, PPP (current international $)",NY.GNP.PCAP.PP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4050,4240,4510,4550,4680,4930,5320,5360,5740
+Djibouti,DJI,"GNI, Atlas method (current US$)",NY.GNP.ATLS.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2325113306.4557157,2455248777.391414,2581255192.7612205,2789282789.9440904,3031712133.2074413,3081144942.481589,3311894454.7920976
+Djibouti,DJI,"GNI, PPP (constant 2017 international $)",NY.GNP.MKTP.PP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3512176018.6092987,3771680992.4584293,4053546902.5859365,4256254660.645636,4418464110.633732,4614906551.322236,4964551371.0619,5021341916.407954,..
+Djibouti,DJI,"GNI, PPP (current international $)",NY.GNP.MKTP.PP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3575606060.0196753,3813420038.5353227,4124459934.565877,4228354172.7359476,4418464110.633732,4725369385.990628,5174904158.211224,5296929188.23756,5753838564.209508
+Djibouti,DJI,Gross capital formation (annual % growth),NE.GDI.TOTL.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,-95.69886071106112,-274.82584782433923,-644.031969823646,-8.223592943301199,-91.7128307881405,182.28357936113503,-53.862541974364156,..
+Djibouti,DJI,Gross capital formation (constant 2015 US$),NE.GDI.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1272220558.521179,54719978.28451212,-95664665.96519263,520446366.67564857,477646975.9920425,39583413.13579054,111737475.43301524,51552830.82681257,..
+Djibouti,DJI,Gross fixed capital formation (annual % growth),NE.GDI.FTOT.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,17.92590548669841,19.76395678212957,-4.1101497097727275,-0.6843088749788961,14.889586146250792,7.286120245357779,0.9678759169680973,..
+Djibouti,DJI,Gross fixed capital formation (constant 2015 US$),NE.GDI.FTOT.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,520738738.4382655,614085872.5233346,735453538.9740098,705225297.4763563,700399378.1771293,804685946.9586178,863316332.6515186,871672163.5225048,..
+Djibouti,DJI,Gross national expenditure (constant 2015 US$),NE.DAB.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2926444271.650097,1865504433.210338,1879408908.9077826,2784890127.097187,2939348001.708191,2520470973.7343874,2684969612.291934,2835641708.830435,..
+Djibouti,DJI,Gross value added at basic prices (GVA) (constant 2015 US$),NY.GDP.FCST.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1963712475.320733,2102512166.6155105,2248396827.0491385,2419652716.188731,2548816961.499913,2669989705.3811746,2829495579.709706,2886325578.312405,..
+Djibouti,DJI,"Hospital beds (per 1,000 people)",SH.MED.BEDS.ZS,..,..,..,1.75,1.75,1.75,1.61,1.61,1.61,1.61,..,..,..,1.42,1.42,1.42,1.42,1.4,1.4,1.4,1.4,..,..,..,..
+Djibouti,DJI,Households and NPISHs Final consumption expenditure (annual % growth),NE.CON.PRVT.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,9.32992629641862,10.502012989799582,11.31254229701608,10.593520388745532,0.4335520616808566,6.32883140363252,10.227296820627018,..
+Djibouti,DJI,Households and NPISHs Final consumption expenditure (constant 2015 US$),NE.CON.PRVT.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1235567107.6962838,1350844608.1871383,1492710484.4109588,1661573989.331942,1837593168.6659138,1845560091.7339714,1962362478.39254,2163059113.754358,..
+Djibouti,DJI,Households and NPISHs Final consumption expenditure per capita (constant 2015 US$),NE.CON.PRVT.PC.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1398.8242982310896,1503.1091748550214,1633.1752188048354,1788.351859645992,1946.409347315887,2008.2309916933382,2076.9465286674827,1944.2516715851102,..
+Djibouti,DJI,Households and NPISHs Final consumption expenditure per capita growth (annual %),NE.CON.PRVT.PC.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,7.455180522372046,8.653133526535697,9.501530457626913,8.83816497393208,3.1761892462499617,3.421694877649699,-6.388939496073888,..
+Djibouti,DJI,"Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $)",NE.CON.PRVT.PP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1965845976.319057,2149257957.0107365,2374973306.840305,2643643166.7194557,2923698044.5915594,2936373797.741209,3122211944.780691,3441529827.742484,..
+Djibouti,DJI,"Households and NPISHs Final consumption expenditure, PPP (current international $)",NE.CON.PRVT.PP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2060762625.1352239,2292283592.3185754,2562101570.776766,2703772769.992443,2923698044.5915594,3325160721.3718715,3440491942.8895006,2980656495.375561,..
+Djibouti,DJI,Imports of goods and services (annual % growth),NE.IMP.GNFS.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,-22.62267733897157,-3.2323524662395187,-6.709414142849582,50.35729027297296,-2.880606886682841,10.051553003707099,-29.539182288317917,..
+Djibouti,DJI,Imports of goods and services (constant 2015 US$),NE.IMP.GNFS.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3980702498.32747,3080161016.3064666,2980599355.731736,2780618601.0165877,4180862781.31479,4060428560.113476,4468564689.010943,3148587219.8525944,..
+Djibouti,DJI,Income share held by fourth 20%,SI.DST.04TH.20,..,..,..,..,..,21.8,..,..,..,..,..,..,..,..,..,21.2,20.9,..,..,..,21.5,..,..,..,..
+Djibouti,DJI,Income share held by highest 10%,SI.DST.10TH.10,..,..,..,..,..,30.8,..,..,..,..,..,..,..,..,..,34.4,34.1,..,..,..,32.3,..,..,..,..
+Djibouti,DJI,Income share held by highest 20%,SI.DST.05TH.20,..,..,..,..,..,46.5,..,..,..,..,..,..,..,..,..,50.3,50,..,..,..,47.6,..,..,..,..
+Djibouti,DJI,Income share held by lowest 10%,SI.DST.FRST.10,..,..,..,..,..,2.3,..,..,..,..,..,..,..,..,..,1.3,1.7,..,..,..,1.9,..,..,..,..
+Djibouti,DJI,Income share held by lowest 20%,SI.DST.FRST.20,..,..,..,..,..,6,..,..,..,..,..,..,..,..,..,4.3,4.9,..,..,..,5.4,..,..,..,..
+Djibouti,DJI,Income share held by second 20%,SI.DST.02ND.20,..,..,..,..,..,10.6,..,..,..,..,..,..,..,..,..,9.8,9.7,..,..,..,10.4,..,..,..,..
+Djibouti,DJI,Income share held by third 20%,SI.DST.03RD.20,..,..,..,..,..,15.1,..,..,..,..,..,..,..,..,..,14.4,14.6,..,..,..,15.1,..,..,..,..
+Djibouti,DJI,"Industry (including construction), value added (annual % growth)",NV.IND.TOTL.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,7.42289471139901,8.567577121256448,6.114837744190282,14.10174120421334,19.057981942840314,13.410270480478957,-4.4329812062661915,..
+Djibouti,DJI,"Industry (including construction), value added (constant 2015 US$)",NV.IND.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,236878603.18931758,254461852.49789327,276263067.9548281,293156106.30738795,334496221.74320436,398244451.28250736,451650109.37299085,431628544.9064055,..
+Djibouti,DJI,"Industry (including construction), value added per worker (constant 2015 US$)",NV.IND.EMPL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5543.361962206469,5769.383062187684,6106.921024124329,6330.468350497537,7042.614128229066,10010.227959837603,10720.362870042944,..,..
+Djibouti,DJI,International migrant stock (% of population),SM.POP.TOTL.ZS,..,..,..,13.9098098156283,..,..,..,..,11.8307155905787,..,..,..,..,12.2261381171446,..,..,..,..,12.6541204084874,..,..,..,..,..,..
+Djibouti,DJI,"International migrant stock, total",SM.POP.TOTL,..,..,..,100507,..,..,..,..,92091,..,..,..,..,101575,..,..,..,..,112351,..,..,..,..,..,..
+Djibouti,DJI,"Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.FE.ZS,18.4080009460449,18.2390003204346,18.0259990692139,17.6749992370605,17.4589996337891,17.1509990692139,16.7630004882813,16.3449993133545,15.918999671936,15.2670001983643,14.6079998016357,13.9519996643066,13.2930002212524,12.7030000686646,12.4079999923706,12.16100025177,11.956000328064,11.7639999389648,11.5559997558594,11.4289999008179,11.2410001754761,11.0389995574951,10.8509998321533,10.1169996261597,10.6230001449585
+Djibouti,DJI,"Labor force participation rate for ages 15-24, female (%) (national estimate)",SL.TLF.ACTI.1524.FE.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,11.7200002670288,..,..,..,..
+Djibouti,DJI,"Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.MA.ZS,39.7270011901855,39.0279998779297,38.1590003967285,36.8079986572266,35.9539985656738,34.7890014648438,33.3959999084473,31.9650001525879,30.5690002441406,28.4220008850098,26.3390007019043,24.3519992828369,22.4400005340576,20.8040008544922,20.0240001678467,19.3700008392334,18.8290004730225,18.3339996337891,17.8080005645752,17.5009994506836,17.0289993286133,16.5400009155273,16.0939998626709,15.3360004425049,15.4809999465942
+Djibouti,DJI,"Labor force participation rate for ages 15-24, male (%) (national estimate)",SL.TLF.ACTI.1524.MA.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,17.8899993896484,..,..,..,..
+Djibouti,DJI,"Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.ZS,29.1299991607666,28.7000007629395,28.1580009460449,27.2999992370605,26.7520008087158,25.9969997406006,25.0979995727539,24.1860008239746,23.3099994659424,21.94700050354,20.6310005187988,19.3640003204346,18.1189994812012,17.0289993286133,16.5049991607666,16.05299949646,15.673999786377,15.3210000991821,14.9440002441406,14.7270002365112,14.3870000839233,14.0299997329712,13.7049999237061,12.9630002975464,13.2749996185303
+Djibouti,DJI,"Labor force participation rate for ages 15-24, total (%) (national estimate)",SL.TLF.ACTI.1524.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,14.7799997329712,..,..,..,..
+Djibouti,DJI,"Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.FE.ZS,14.7880001068115,14.8459997177124,14.9350004196167,15.0749998092651,15.1820001602173,15.335000038147,15.5109996795654,15.6719999313354,15.8070001602173,16.0249996185303,16.2229995727539,16.4220008850098,16.6319999694824,16.8500003814697,16.9669990539551,17.0809993743896,17.1909999847412,17.3059997558594,17.4330005645752,17.4950008392334,17.6030006408691,17.7320003509521,17.8479995727539,17.1420001983643,17.2180004119873
+Djibouti,DJI,"Labor force participation rate, female (% of female population ages 15+) (national estimate)",SL.TLF.CACT.FE.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,18.2099990844727,..,..,..,..
+Djibouti,DJI,"Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.FE.ZS,48.52,48.64,48.77,48.96,49.05,49.17,49.31,49.45,49.61,50.02,50.52,51.11,51.8,52.47,52.78,53.04,53.25,53.44,53.64,53.73,53.89,54.06,54.24,..,..
+Djibouti,DJI,"Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.MA.ZS,56.0540008544922,55.8530006408691,55.5769996643066,55.1520004272461,54.9179992675781,54.5559997558594,54.064998626709,53.4749984741211,52.7980003356934,51.7159996032715,50.5730018615723,49.4389991760254,48.4020004272461,47.5229988098145,47.0460014343262,46.7039985656738,46.4490013122559,46.2029991149902,45.9179992675781,45.7200012207031,45.4420013427734,45.125,44.8300018310547,44.2360000610352,44.1469993591309
+Djibouti,DJI,"Labor force participation rate, male (% of male population ages 15+) (national estimate)",SL.TLF.CACT.MA.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,47.0099983215332,..,..,..,..
+Djibouti,DJI,"Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.MA.ZS,81.03,81.02,80.8,80.34,79.94,79.25,78.4,77.58,76.86,76.07,75.41,74.83,74.39,73.98,73.68,73.49,73.35,73.16,72.92,72.82,72.63,72.33,72.08,..,..
+Djibouti,DJI,"Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.ZS,35.4640007019043,35.3919982910156,35.2879981994629,35.1279983520508,35.0229988098145,34.8699989318848,34.685001373291,34.4959983825684,34.310001373291,34.0149993896484,33.726001739502,33.443000793457,33.173999786377,32.9300003051758,32.7999992370605,32.6949996948242,32.6059989929199,32.515998840332,32.4169998168945,32.359001159668,32.2700004577637,32.1660003662109,32.0730018615723,31.4400005340576,31.4260005950928
+Djibouti,DJI,"Labor force participation rate, total (% of total population ages 15+) (national estimate)",SL.TLF.CACT.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,32.2700004577637,..,..,..,..
+Djibouti,DJI,"Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.ZS,64.88,64.93,64.88,64.73,64.54,64.22,63.84,63.52,63.3,63.21,63.26,63.4,63.62,63.81,63.84,63.88,63.9,63.88,63.84,63.84,63.82,63.75,63.7,..,..
+Djibouti,DJI,Labor force with advanced education (% of total working-age population with advanced education),SL.TLF.ADVN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,70.7799987792969,..,..,..,..
+Djibouti,DJI,"Labor force with advanced education, female (% of female working-age population with advanced education)",SL.TLF.ADVN.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,57.2700004577637,..,..,..,..
+Djibouti,DJI,"Labor force with advanced education, male (% of male working-age population with advanced education)",SL.TLF.ADVN.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,77.4700012207031,..,..,..,..
+Djibouti,DJI,Labor force with basic education (% of total working-age population with basic education),SL.TLF.BASC.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,28.6299991607666,..,..,..,..
+Djibouti,DJI,"Labor force with basic education, female (% of female working-age population with basic education)",SL.TLF.BASC.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,15.8199996948242,..,..,..,..
+Djibouti,DJI,"Labor force with basic education, male (% of male working-age population with basic education)",SL.TLF.BASC.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,37.7099990844727,..,..,..,..
+Djibouti,DJI,Labor force with intermediate education (% of total working-age population with intermediate education),SL.TLF.INTM.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,42.439998626709,..,..,..,..
+Djibouti,DJI,"Labor force with intermediate education, female (% of female working-age population with intermediate education)",SL.TLF.INTM.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,29.7600002288818,..,..,..,..
+Djibouti,DJI,"Labor force with intermediate education, male (% of male working-age population with intermediate education)",SL.TLF.INTM.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,50.5400009155273,..,..,..,..
+Djibouti,DJI,"Labor force, female (% of total labor force)",SL.TLF.TOTL.FE.ZS,20.805939277535643,20.930199277306716,21.127765881513206,21.44196581598704,21.704415090628995,22.074257045588347,22.478739369684842,22.809496717992012,23.026654687032043,23.365234991985588,23.59135393608685,23.788977682268932,24.03029456702098,24.34411160955949,24.497498002607124,24.705967241503714,24.944913883722812,25.208018435463487,25.48967193195626,25.59236502002798,25.809355047394035,26.07778959337467,26.310408627639028,25.751071017761234,25.880302046552167
+Djibouti,DJI,"Labor force, total",SL.TLF.TOTL.IN,135370,139755,144303,148783,152545,156268,159920,163467,166950,170942,174831,178692,182607,186579,190248,194026,197872,201785,205750,209457,213318,217227,221057,220818,224866
+Djibouti,DJI,"Manufacturing, value added (annual % growth)",NV.IND.MANF.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,52.76410184273456,4.3069106813996285,7.608687371225869,14.793265822408046,13.149713518645825,13.852006270239897,18.690837007389234,..
+Djibouti,DJI,"Manufacturing, value added (constant 2015 US$)",NV.IND.MANF.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,41621176.21912395,63582216.02752652,66320645.281086646,71366775.84310418,81924252.70245668,92697057.23512119,105537459.41565804,125263293.93677825,..
+Djibouti,DJI,Multidimensional poverty headcount ratio (% of total population),SI.POV.MDIM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Multidimensional poverty headcount ratio, children (% of population ages 0-17)",SI.POV.MDIM.17,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Multidimensional poverty headcount ratio, female (% of female population)",SI.POV.MDIM.FE,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Multidimensional poverty headcount ratio, household (% of total households)",SI.POV.MDIM.HH,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Multidimensional poverty headcount ratio, male (% of male population)",SI.POV.MDIM.MA,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Multidimensional poverty index (scale 0-1),SI.POV.MDIM.XQ,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Multidimensional poverty index, children (population ages 0-17) (scale 0-1)",SI.POV.MDIM.17.XQ,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Multidimensional poverty intensity (average share of deprivations experienced by the poor),SI.POV.MDIM.IT,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Australia (current US$)",DC.DAC.AUSL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,189999.99761581398,170000.00178813902,200000.00298023198,59999.9986588955,29999.999329447703,9999.99977648258,29999.999329447703,0,29999.999329447703,29999.999329447703,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Austria (current US$)",DC.DAC.AUTL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,0,9999.99977648258,9999.99977648258,0,59999.9986588955,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Belgium (current US$)",DC.DAC.BELL.CD,90000.0035762787,79999.9982118607,29999.999329447703,..,..,39999.9991059303,29999.999329447703,9999.99977648258,19999.9995529652,19999.9995529652,..,..,..,..,119999.997317791,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Canada (current US$)",DC.DAC.CANL.CD,100000.00149011599,79999.9982118607,239999.994635582,100000.00149011599,119999.997317791,100000.00149011599,360000.01430511504,379999.99523162795,1149999.97615814,1029999.97138977,750000,270000.010728836,389999.98569488496,150000.005960464,2859999.89509583,2519999.98092651,15359999.6566772,1559999.9427795399,779999.971389771,850000.023841858,1440000.0572204601,1240000.0095367401,1179999.94754791,1039999.96185303,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Czech Republic (current US$)",DC.DAC.CZEL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,19999.9995529652,29999.999329447703,19999.9995529652,..,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Denmark (current US$)",DC.DAC.DNKL.CD,..,..,..,..,..,..,..,..,..,..,9999.99977648258,9999.99977648258,..,9999.99977648258,..,..,..,..,..,..,..,..,..,19999.9995529652,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, European Union institutions (current US$)",DC.DAC.CECL.CD,3269999.98092651,8819999.69482422,5900000.09536743,1809999.9427795399,6570000.17166138,1850000.02384186,7650000.09536743,5599999.90463257,3190000.05722046,1629999.99523163,5650000.09536743,11500000,10270000.4577637,9979999.54223633,12340000.1525879,17610000.6103516,31329999.9237061,31639999.3896484,9479999.54223633,13170000.076293899,14689999.5803833,32450000.7629395,37630001.0681152,31409999.8474121,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Finland (current US$)",DC.DAC.FINL.CD,..,..,..,..,..,..,..,29999.999329447703,59999.9986588955,9999.99977648258,..,..,..,..,..,..,9999.99977648258,9999.99977648258,9999.99977648258,..,..,9999.99977648258,9999.99977648258,9999.99977648258,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, France (current US$)",DC.DAC.FRAL.CD,46130001.0681152,39779998.779296905,41439998.626709,20620000.8392334,21870000.8392334,26299999.237060502,22809999.4659424,24510000.2288818,35119998.9318848,71610000.6103516,56700000.762939505,51229999.5422363,41970001.220703095,46220001.220703095,43959999.0844727,40439998.626709,42400001.5258789,40799999.237060495,56290000.9155273,49060001.373291,41290000.9155273,44529998.779296905,36360000.6103516,37319999.6948242,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Germany (current US$)",DC.DAC.DEUL.CD,1639999.98569489,1899999.97615814,449999.988079071,300000.011920929,90000.0035762787,29999.999329447703,579999.983310699,289999.99165535,389999.98569488496,140000.000596046,280000.001192093,200000.00298023198,1120000.00476837,230000.004172325,6800000.19073486,2660000.08583069,1820000.05245209,1100000.02384186,1429999.94754791,1139999.98569489,540000.021457672,360000.01430511504,889999.985694885,430000.00715255697,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Greece (current US$)",DC.DAC.GRCL.CD,..,19999.9995529652,..,..,..,..,..,..,59999.9986588955,79999.9982118607,..,90000.0035762787,529999.971389771,9999.99977648258,19999.9995529652,19999.9995529652,..,9999.99977648258,0,..,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Hungary (current US$)",DC.DAC.HUNL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Iceland (current US$)",DC.DAC.ISLL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,59999.9986588955,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Ireland (current US$)",DC.DAC.IRLL.CD,..,..,..,..,..,..,..,..,..,379999.99523162795,..,..,..,..,..,..,59999.9986588955,180000.00715255702,109999.999403954,39999.9991059303,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Italy (current US$)",DC.DAC.ITAL.CD,1710000.03814697,1629999.99523163,1870000.00476837,5119999.88555908,1049999.95231628,1340000.0333786,1039999.96185303,860000.014305115,1240000.0095367401,800000.011920929,850000.023841858,250000,12020000.4577637,439999.997615814,469999.998807907,4659999.84741211,170000.00178813902,209999.993443489,4260000.228881841,870000.004768372,150000.005960464,629999.995231628,920000.016689301,280000.001192093,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Japan (current US$)",DC.DAC.JPNL.CD,11430000.3051758,16950000.762939498,9979999.54223633,13920000.076293899,2990000.00953674,5440000.05722046,8060000.419616699,7159999.84741211,6380000.11444092,4590000.15258789,3670000.07629395,3740000.00953674,28819999.6948242,37979999.5422363,16569999.6948242,24840000.1525879,6230000.01907349,26459999.084472697,17840000.1525879,9130000.11444092,16920000.0762939,9380000.11444092,44330001.8310547,13920000.076293899,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)",DC.DAC.KORL.CD,39999.9991059303,..,..,50000.0007450581,..,39999.9991059303,39999.9991059303,90000.0035762787,100000.00149011599,529999.971389771,569999.992847443,250000,..,270000.010728836,389999.98569488496,1159999.9666214,310000.002384186,..,79999.9982118607,..,189999.99761581398,..,140000.000596046,300000.011920929,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Luxembourg (current US$)",DC.DAC.LUXL.CD,..,..,..,..,..,..,..,..,310000.002384186,..,..,..,..,..,..,..,..,..,..,..,230000.004172325,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Netherlands (current US$)",DC.DAC.NLDL.CD,..,..,..,209999.993443489,889999.985694885,529999.971389771,..,..,759999.990463257,..,1429999.94754791,..,..,..,..,..,..,1330000.04291534,..,..,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, New Zealand (current US$)",DC.DAC.NZLL.CD,..,..,..,..,..,..,..,..,460000.00834465,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Norway (current US$)",DC.DAC.NORL.CD,..,50000.0007450581,..,280000.001192093,9999.99977648258,79999.9982118607,..,29999.999329447703,109999.999403954,469999.998807907,..,..,800000.011920929,330000.013113022,..,..,..,479999.989271164,250000,..,..,..,..,479999.989271164,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Poland (current US$)",DC.DAC.POLL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,9999.99977648258,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Portugal (current US$)",DC.DAC.PRTL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Slovak Republic (current US$)",DC.DAC.SVKL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Slovenia (current US$)",DC.DAC.SVNL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Spain (current US$)",DC.DAC.ESPL.CD,1059999.9427795399,1429999.94754791,..,..,..,..,..,..,..,..,1490000.0095367401,560000.002384186,2670000.07629395,-300000.011920929,750000,9999.99977648258,..,..,..,..,..,..,159999.99642372102,0,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Sweden (current US$)",DC.DAC.SWEL.CD,..,..,..,..,..,..,..,..,..,..,39999.9991059303,129999.995231628,200000.00298023198,70000.0002980232,..,70000.0002980232,70000.0002980232,2190000.05722046,800000.011920929,1460000.03814697,930000.007152557,1370000.00476837,600000.023841858,720000.028610229,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Switzerland (current US$)",DC.DAC.CHEL.CD,..,389999.98569488496,..,419999.986886978,129999.995231628,109999.999403954,..,..,..,140000.000596046,29999.999329447703,860000.014305115,460000.00834465,159999.99642372102,699999.988079071,340000.00357627904,270000.010728836,9999.99977648258,140000.000596046,219999.998807907,..,..,..,..,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, Total (current US$)",DC.DAC.TOTL.CD,65470001.32501124,71149999.1379679,61299998.236820124,43970000.72523948,34660000.951960675,38749999.20465048,44689999.82438984,45110000.07949766,56919999.245554246,91630000.51490963,81680000.9459258,77629999.54260883,107950001.70171262,107610000.28252593,100499999.4039536,103329999.54186386,107580000.73768198,114219997.38365406,97200000.86165962,82700001.61416824,88080000.32231198,99729999.56458814,147910002.61157754,107610000.48369162,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, United Kingdom (current US$)",DC.DAC.GBRL.CD,..,..,..,..,..,19999.9995529652,..,..,..,..,..,..,2349999.90463257,9999.99977648258,19999.9995529652,109999.999403954,100000.00149011599,..,29999.999329447703,..,50000.0007450581,70000.0002980232,779999.971389771,1470000.02861023,..
+Djibouti,DJI,"Net bilateral aid flows from DAC donors, United States (current US$)",DC.DAC.USAL.CD,..,19999.9995529652,1389999.98569489,1139999.98569489,939999.997615814,2869999.8855590797,4119999.88555908,6150000.09536743,7570000.17166138,10199999.8092651,10210000.038146999,8539999.96185303,6349999.90463257,12039999.961853001,15310000.4196167,8720000.26702881,9229999.54223633,8149999.61853027,5650000.09536743,6750000,11609999.6566772,9619999.88555908,24879999.1607666,20120000.8392334,..
+Djibouti,DJI,Net migration,SM.POP.NETM,9988,..,..,..,..,-8997,..,..,..,..,-12221,..,..,..,..,6002,..,..,..,..,4501,..,..,..,..
+Djibouti,DJI,Net ODA provided to the least developed countries (% of GNI),DC.ODA.TLDC.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net ODA provided, to the least developed countries (current US$)",DC.ODA.TLDC.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net ODA provided, total (% of GNI)",DC.ODA.TOTL.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net ODA provided, total (constant 2020 US$)",DC.ODA.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net ODA provided, total (current US$)",DC.ODA.TOTL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Net ODA received (% of central government expense),DT.ODA.ODAT.XP.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Net ODA received (% of GNI),DT.ODA.ODAT.GN.ZS,16.635487662762262,15.428950362032712,13.701884119696622,12.74029873619471,10.156697548510571,12.219340899391382,12.32737144597061,9.342119363139814,10.168294000480682,14.569737453371252,12.923766115854777,13.64779785707494,15.486686296211772,11.521240192403843,11.251004308526188,10.744490085071563,7.40700386098094,7.581374857324501,7.23245565206421,7.3406806202151955,5.410264748135436,6.466659146664753,8.76391124704871,8.309471870622927,..
+Djibouti,DJI,Net ODA received (% of gross capital formation),DT.ODA.ODAT.GI.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,12.846163748844905,262.75703601739417,-181.24769228038235,32.436657071590716,23.86283368125028,220.70892989934953,372.45376689324246,879.7372349202092,..
+Djibouti,DJI,"Net ODA received (% of imports of goods, services and primary income)",DT.ODA.ODAT.MP.ZS,32.629105316457824,28.336543693708478,27.986533299486,25.159842949649192,21.913992633177763,27.670299894562778,25.11888234183281,18.415927989911374,19.923770019019265,26.41433529804802,19.02284275862425,19.653425884771117,27.937429501490087,25.96837403777802,19.990728352703172,19.989521748000097,3.75116743623378,5.21688159984818,5.689930015936577,6.245685926154012,3.18752101806308,4.0813191964515525,5.316620250449112,7.140055081708219,..
+Djibouti,DJI,Net ODA received per capita (current US$),DT.ODA.ODAT.PC.ZS,129.6042440673774,119.00686053938644,107.36128611514859,100.6721200146737,81.0347365155322,99.20382366368844,104.33903753787062,83.37232400645244,94.69541980183199,145.2135377248343,139.88349229373796,172.497225276831,200.32132810400205,157.14227759219537,164.46616307275755,170.95248171036454,168.96940549940223,184.83220961932196,189.70500962764473,199.49049054480327,151.0539144268107,186.8867539039808,269.60928942663656,259.2505021735158,..
+Djibouti,DJI,Net official aid received (constant 2020 US$),DT.ODA.OATL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Net official aid received (current US$),DT.ODA.OATL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Net official development assistance and official aid received (constant 2020 US$),DT.ODA.ALLD.KD,112809997.558594,106519996.64306599,101819999.69482401,101510002.13623,91839996.3378906,106809997.558594,98089996.3378906,72849998.4741211,82769996.6430664,125120002.746582,112269996.64306599,132880004.882813,156729995.727539,123330001.831055,129679992.675781,138699996.94824198,139199996.94824198,156130004.882813,184559997.55859402,196660003.66210902,148139999.38964802,179210006.71386698,276600006.10351604,..,..
+Djibouti,DJI,Net official development assistance and official aid received (current US$),DT.ODA.ALLD.CD,85650001.5258789,80980003.3569336,75150001.5258789,72239997.8637695,59400001.5258789,74099998.4741211,79260002.1362305,64330001.8310547,74169998.1689453,115379997.253418,112669998.168945,140820007.32421902,165830001.831055,132029998.779297,140399993.89648402,148410003.66210902,149250000,166110000.61035198,173389999.38964802,185350006.10351598,142610000.61035198,179210006.71386698,262480010.986328,256140014.648438,..
+Djibouti,DJI,Net official development assistance received (constant 2020 US$),DT.ODA.ODAT.KD,114029998.77929701,107949996.94824201,102879997.253418,102790000.915527,92699996.9482422,107959999.084473,99300003.0517578,73819999.6948242,83800003.0517578,126300003.05175799,113330001.831055,134130004.882813,158770004.272461,125720001.22070299,130649993.896484,140479995.727539,140270004.272461,158259994.506836,186479995.727539,198529998.779297,149770004.272461,179050003.05175802,269769989.013672,256140014.648438,..
+Djibouti,DJI,Net official development assistance received (current US$),DT.ODA.ODAT.CD,85650001.5258789,80980003.3569336,75150001.5258789,72239997.8637695,59400001.5258789,74099998.4741211,79260002.1362305,64330001.8310547,74169998.1689453,115379997.253418,112669998.168945,140820007.32421902,165830001.831055,132029998.779297,140399993.89648402,148410003.66210902,149250000,166110000.61035198,173389999.38964802,185350006.10351598,142610000.61035198,179210006.71386698,262480010.986328,256140014.648438,..
+Djibouti,DJI,"Net official flows from UN agencies, FAO (current US$)",DT.NFL.FAOG.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,565468.907356262,..,..,..,..,333539.992570877,455219.924449921,..,..
+Djibouti,DJI,"Net official flows from UN agencies, IAEA (current US$)",DT.NFL.IAEA.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,66453.9411664009,52553.2625615597,30208.0009132624,21022.0906883478,456906.43787384,..
+Djibouti,DJI,"Net official flows from UN agencies, IFAD (current US$)",DT.NFL.IFAD.CD,..,-59999.9986588955,-59999.9986588955,-59999.9986588955,-439999.997615814,-70000.0002980232,-90000.0035762787,-39999.9991059303,-70000.0002980232,270000.010728836,3349999.90463257,810000.002384186,759999.990463257,720000.028610229,2220000.02861023,1370000.00476837,1570000.05245209,699999.988079071,1024587.9888534499,862338.185310364,1646230.10158539,2343462.94403076,5968274.11651611,2227121.35314941,..
+Djibouti,DJI,"Net official flows from UN agencies, ILO (current US$)",DT.NFL.ILOG.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,74182.2198033333,94565.8683776855,65600.0003218651,121009.99802351,106229.998171329,83559.9973797798,64274.400472641006,512889.98126983596,209739.923477173,..
+Djibouti,DJI,"Net official flows from UN agencies, UNAIDS (current US$)",DT.NFL.UNAI.CD,..,..,..,..,..,..,..,..,..,..,0,..,90000.0035762787,289999.99165535,460000.00834465,348254.79984283395,328277.558088303,418246.001005173,425772.994756699,384002.506732941,319200.00910759,23496.10067904,203547.760844231,..,..
+Djibouti,DJI,"Net official flows from UN agencies, UNDP (current US$)",DT.NFL.UNDP.CD,860000.014305115,680000.007152557,1179999.94754791,589999.973773956,419999.986886978,589999.973773956,250000,750000,670000.016689301,740000.009536743,670000.016689301,990000.009536743,1220000.02861023,1149999.97615814,1080000.04291534,779020.5478668209,896438.002586365,1073540.32993317,767215.430736542,833440.899848938,599463.522434235,522726.17816925,837339.997291565,741629.242897034,..
+Djibouti,DJI,"Net official flows from UN agencies, UNECE (current US$)",DT.NFL.UNEC.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net official flows from UN agencies, UNEP (current US$)",DT.NFL.UNEP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net official flows from UN agencies, UNFPA (current US$)",DT.NFL.UNFP.CD,360000.01430511504,389999.98569488496,439999.997615814,280000.001192093,540000.021457672,509999.99046325695,349999.99403953605,300000.011920929,439999.997615814,660000.026226044,750000,670000.016689301,970000.028610229,740000.009536743,790000.021457672,720888.97228241,696478.009223938,808049.440383911,1033236.50360107,729075.312614441,546247.601509094,514919.996261597,855044.603347778,792699.992656708,..
+Djibouti,DJI,"Net official flows from UN agencies, UNHCR (current US$)",DT.NFL.UNCR.CD,2700000.04768372,2259999.99046326,2140000.10490417,2250000,2130000.1144409203,2990000.00953674,2799999.95231628,3410000.08583069,1039999.96185303,439999.997615814,870000.004768372,1120000.00476837,1759999.9904632599,1059999.9427795399,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net official flows from UN agencies, UNICEF (current US$)",DT.NFL.UNCF.CD,1080000.04291534,1090000.0333786,519999.980926514,670000.016689301,779999.971389771,689999.997615814,560000.002384186,860000.014305115,790000.021457672,839999.973773956,2829999.92370605,1129999.99523163,2019999.9809265102,910000.026226044,930000.007152557,798043.727874756,933179.259300232,1048220.9920883201,1250639.0810012799,1086004.73403931,1253000.02098083,1101587.41474152,1371999.97901917,1215999.96089935,..
+Djibouti,DJI,"Net official flows from UN agencies, UNIDIR (current US$)",DT.NFL.UNID.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net official flows from UN agencies, UNPBF (current US$)",DT.NFL.UNPB.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net official flows from UN agencies, UNRWA (current US$)",DT.NFL.UNRW.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net official flows from UN agencies, UNTA (current US$)",DT.NFL.UNTA.CD,1250000,670000.016689301,1370000.00476837,1220000.02861023,839999.973773956,1230000.01907349,1590000.0333786,1360000.01430511,1840000.0333786,990000.009536743,1379999.99523163,90000.0035762787,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net official flows from UN agencies, UNWTO (current US$)",DT.NFL.UNWT.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Net official flows from UN agencies, WFP (current US$)",DT.NFL.WFPG.CD,1240000.0095367401,230000.004172325,1889999.98569489,879999.995231628,1289999.96185303,2589999.91416931,839999.973773956,1509999.9904632599,1799999.95231628,1090000.0333786,2240000.00953674,1990000.0095367401,3390000.10490417,1139999.98569489,1649999.97615814,605929.493904114,692461.013793945,3079449.89204407,786575.973033905,977348.029613495,1442080.0209045399,1514081.0012817401,1642889.97650146,1058404.20722961,..
+Djibouti,DJI,"Net official flows from UN agencies, WHO (current US$)",DT.NFL.WHOL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,540000.021457672,520730.257034302,654904.067516327,425490.915775299,1254032.49263763,703453.302383423,842999.994754791,1054545.2833175699,752847.373485565,501041.71037673997,..
+Djibouti,DJI,"Number of surgical procedures (per 100,000 population)",SH.SGR.PROC.P5,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Nurses and midwives (per 1,000 people)",SH.MED.NUMW.P3,..,..,0.7043,..,..,0.7364,..,0.3836,0.5746,..,..,..,..,..,..,..,..,0.7288,..,..,..,..,..,..,..
+Djibouti,DJI,Out-of-pocket expenditure (% of current health expenditure),SH.XPD.OOPC.CH.ZS,..,..,..,51.33246613,54.73034286,42.81143951,36.94394684,41.30123901,41.67882919,37.76251602,35.84453583,31.6133194,30.16868782,29.03930855,24.22880554,22.94796562,24.05808449,22.65952682,20.54255676,23.17866516,26.1577282,29.10498428,24.15331268,..,..
+Djibouti,DJI,Out-of-pocket expenditure per capita (current US$),SH.XPD.OOPC.PC.CD,..,..,..,16.40482232,16.98953325,17.20784459,17.03608829,16.63946468,17.07149276,17.87298332,18.082828,17.05932375,16.68954296,16.32050183,16.66417907,16.5730992,16.24760584,16.56936268,16.9044445,17.817057,18.89497479,20.68965615,14.92902559,..,..
+Djibouti,DJI,"Out-of-pocket expenditure per capita, PPP (current international $)",SH.XPD.OOPC.PP.CD,..,..,..,36.35671475,37.7038126,38.79235401,38.34630084,37.23707344,38.17793915,39.78960722,39.37921246,34.537045,33.52490164,31.90478371,31.65022071,29.97239898,28.83158245,28.83843133,29.08228202,29.83667897,31.67251392,35.38504052,25.15369358,..,..
+Djibouti,DJI,"Part time employment, female (% of total female employment)",SL.TLF.PART.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Part time employment, male (% of total male employment)",SL.TLF.PART.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Part time employment, total (% of total employment)",SL.TLF.PART.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Physicians (per 1,000 people)",SH.MED.PHYS.ZS,..,..,0.1329,..,..,..,..,0.1672,0.1788,0.2328,..,..,..,..,..,..,..,0.2237,..,..,..,..,..,..,..
+Djibouti,DJI,Poverty gap at $1.90 a day (2011 PPP) (%),SI.POV.GAPS,..,..,..,..,..,5.9,..,..,..,..,..,..,..,..,..,7.8,7.4,..,..,..,5.6,..,..,..,..
+Djibouti,DJI,Poverty gap at $3.20 a day (2011 PPP) (%),SI.POV.LMIC.GP,..,..,..,..,..,17.4,..,..,..,..,..,..,..,..,..,16.1,17.9,..,..,..,14.7,..,..,..,..
+Djibouti,DJI,Poverty gap at $5.50 a day (2011 PPP) (%),SI.POV.UMIC.GP,..,..,..,..,..,36.9,..,..,..,..,..,..,..,..,..,32.3,36,..,..,..,32.2,..,..,..,..
+Djibouti,DJI,Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population),SI.POV.DDAY,..,..,..,..,..,20.2,..,..,..,..,..,..,..,..,..,18.2,22.3,..,..,..,17,..,..,..,..
+Djibouti,DJI,Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population),SI.POV.LMIC,..,..,..,..,..,47.3,..,..,..,..,..,..,..,..,..,38,44.2,..,..,..,39.8,..,..,..,..
+Djibouti,DJI,Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population),SI.POV.UMIC,..,..,..,..,..,76.7,..,..,..,..,..,..,..,..,..,68.1,74.5,..,..,..,70.2,..,..,..,..
+Djibouti,DJI,Poverty headcount ratio at national poverty lines (% of population),SI.POV.NAHC,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,21.1,..,..,..,..
+Djibouti,DJI,"PPP conversion factor, GDP (LCU per international $)",PA.NUS.PPP,..,..,..,..,..,..,..,..,..,..,..,..,..,..,93.5718231201172,98.2695922851563,100.152282714844,102.110855102539,103.302284240723,106.126457214355,106.022705078125,104.228207970402,102.857201066307,103.423347194543,100.881356683089
+Djibouti,DJI,"PPP conversion factor, private consumption (LCU per international $)",PA.NUS.PRVT.PP,..,..,..,87.6610583592553,86.7407501775386,85.9309343656756,85.6888393894415,86.0602333546755,85.8206957379447,86.0347470121696,87.8024947636095,94.6680602852009,96.5976691341348,98.7931033317955,100.624099731445,100.602394104004,102.84056854248,104.175155639648,103.542343139648,105.117561340332,104.736534118652,102.390539444221,103.906143637053,104.464323977986,..
+Djibouti,DJI,Price level ratio of PPP conversion factor (GDP) to market exchange rate,PA.NUS.PPPC.RF,..,..,..,..,..,..,..,..,..,..,..,..,..,..,0.5265096590730257,0.5529430527914895,0.5635365697629656,0.574557059112536,0.581260989082455,0.5971520372626477,0.5965682450477152,0.5864709740008327,0.5787565963859476,0.5819421857548798,0.5676389210227772
+Djibouti,DJI,Proportion of people living below 50 percent of median income (%),SI.DST.50MD,..,..,..,..,..,15.4,..,..,..,..,..,..,..,..,..,18.9,18.9,..,..,..,17.1,..,..,..,..
+Djibouti,DJI,Proportion of seats held by women in national parliaments (%),SG.GEN.PARL.ZS,..,0,0,0,0,0,10.7692307692308,10.7692307692308,10.7692307692308,10.7692307692308,13.8461538461538,13.8461538461538,13.8461538461538,13.8461538461538,13.8461538461538,13.8461538461538,12.7272727272727,12.7272727272727,12.7272727272727,12.7272727272727,10.7692307692308,26.1538461538462,26.1538461538462,26.1538461538462,26.1538461538462
+Djibouti,DJI,"Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)",SG.TIM.UWRK.FE,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)",SG.TIM.UWRK.MA,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49),SG.VAW.1549.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Ratio of female to male labor force participation rate (%) (modeled ILO estimate),SL.TLF.CACT.FM.ZS,26.381703145862744,26.58048725648805,26.872628083247275,27.33355035625829,27.644852985713715,28.108732507463575,28.689540504127027,29.30715358303333,29.938634152269554,30.986541382672172,32.078379719596754,33.21669361982831,34.36221607097056,35.45651748304617,36.06469952104252,36.572884333170734,37.01048353908361,37.456442411429094,37.965505559133405,38.265530122757845,38.737291758098344,39.29529163645895,39.81262289485388,38.75124372617868,39.00151915630957
+Djibouti,DJI,Ratio of female to male labor force participation rate (%) (national estimate),SL.TLF.CACT.FM.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,38.736438491067766,..,..,..,..
+Djibouti,DJI,Refugee population by country or territory of asylum,SM.POP.REFG,23589,23577,23266,23238,23172,21702,27034,18033,10455,9257,6653,9228,12106,15102,20336,19136,20010,20525,19369,17683,17553,18293,19639,21193,23232
+Djibouti,DJI,Refugee population by country or territory of origin,SM.POP.REFG.OR,8143,3222,1879,1911,451,470,520,492,498,479,645,638,613,556,595,626,747,870,1059,1437,1761,2124,2351,2419,2607
+Djibouti,DJI,"Self-employed, female (% of female employment) (modeled ILO estimate)",SL.EMP.SELF.FE.ZS,48.7999992370605,49.2799987792969,49.3400001525879,49.439998626709,49.6300010681152,49.4900016784668,49.2599983215332,49.0299987792969,48.9099998474121,48.5400009155273,48.1500015258789,47.6599998474121,47.1599998474121,46.9300003051758,46.4300003051758,45.7999992370605,45.6599998474121,45.1199989318848,44.4700012207031,43.7200012207031,43.1500015258789,42.5099983215332,41.8899993896484,..,..
+Djibouti,DJI,"Self-employed, male (% of male employment) (modeled ILO estimate)",SL.EMP.SELF.MA.ZS,35.2200012207031,35.9700012207031,36.5099983215332,37.1300010681152,37.5400009155273,37.7400016784668,37.810001373291,37.8300018310547,37.7299995422363,37.439998626709,37.060001373291,36.5900001525879,36.4599990844727,36.0200004577637,35.2799987792969,34.7900009155273,34.0900001525879,33.3800010681152,32.5999984741211,31.9099998474121,31.3199996948242,30.3999996185303,29.5599994659424,..,..
+Djibouti,DJI,"Self-employed, total (% of total employment) (modeled ILO estimate)",SL.EMP.SELF.ZS,40.2299995422363,40.8899993896484,41.2599983215332,41.7299995422363,42.0900001525879,42.2000007629395,42.2099990844727,42.1599998474121,42.060001373291,41.75,41.3600006103516,40.8699989318848,40.5900001525879,40.2400016784668,39.5900001525879,39.060001373291,38.6100006103516,37.9799995422363,37.2700004577637,36.560001373291,36,35.2000007629395,34.4500007629395,..,..
+Djibouti,DJI,"Services, value added (annual % growth)",NV.SRV.TOTL.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,7.14990727349192,6.783790782067726,7.987871695270272,3.7561312053076676,2.3730657380260993,4.511327159320857,3.1040161548427676,..
+Djibouti,DJI,"Services, value added (constant 2015 US$)",NV.SRV.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1701171845.2408128,1822804054.7382822,1946459268.1787746,2101939937.1215916,2180891559.01664,2232645549.387167,2333367494.4280386,2405795598.4069347,..
+Djibouti,DJI,"Services, value added per worker (constant 2015 US$)",NV.SRV.EMPL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,9209.87934454154,9512.591072061434,9800.634997237685,10171.410528864633,10185.257955956016,10113.483428664662,10439.528788311374,..,..
+Djibouti,DJI,"Share of youth not in education, employment or training, female (% of female youth population)",SL.UEM.NEET.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,24.0499992370605,..,..,..,..
+Djibouti,DJI,"Share of youth not in education, employment or training, male (% of male youth population)",SL.UEM.NEET.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,14.5100002288818,..,..,..,..
+Djibouti,DJI,"Share of youth not in education, employment or training, total (% of youth population)",SL.UEM.NEET.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,19.3199996948242,..,..,..,..
+Djibouti,DJI,"Specialist surgical workforce (per 100,000 population)",SH.MED.SAOP.P5,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4.42,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day)",SI.SPR.PC40,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Survey mean consumption or income per capita, total population (2011 PPP $ per day)",SI.SPR.PCAP,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Unemployment with advanced education (% of total labor force with advanced education),SL.UEM.ADVN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,16.2900009155273,..,..,..,..
+Djibouti,DJI,"Unemployment with advanced education, female (% of female labor force with advanced education)",SL.UEM.ADVN.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,22.1299991607666,..,..,..,..
+Djibouti,DJI,"Unemployment with advanced education, male (% of male labor force with advanced education)",SL.UEM.ADVN.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,14.1499996185303,..,..,..,..
+Djibouti,DJI,Unemployment with basic education (% of total labor force with basic education),SL.UEM.BASC.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,34.8300018310547,..,..,..,..
+Djibouti,DJI,"Unemployment with basic education, female (% of female labor force with basic education)",SL.UEM.BASC.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,53.3199996948242,..,..,..,..
+Djibouti,DJI,"Unemployment with basic education, male (% of male labor force with basic education)",SL.UEM.BASC.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,29.3299999237061,..,..,..,..
+Djibouti,DJI,Unemployment with intermediate education (% of total labor force with intermediate education),SL.UEM.INTM.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,27.4699993133545,..,..,..,..
+Djibouti,DJI,"Unemployment with intermediate education, female (% of female labor force with intermediate education)",SL.UEM.INTM.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,31.2000007629395,..,..,..,..
+Djibouti,DJI,"Unemployment with intermediate education, male (% of male labor force with intermediate education)",SL.UEM.INTM.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,26.0699996948242,..,..,..,..
+Djibouti,DJI,"Unemployment, female (% of female labor force) (modeled ILO estimate)",SL.UEM.TOTL.FE.ZS,37.6069984436035,37.5709991455078,37.5009994506836,37.4879989624023,37.4309997558594,37.3499984741211,37.2840003967285,37.2319984436035,37.1860008239746,37.0960006713867,37.0460014343262,36.9900016784668,37,36.8940010070801,36.806999206543,36.7919998168945,36.7309989929199,36.6349983215332,36.5550003051758,36.5330009460449,36.4889984130859,36.4339981079102,36.4420013427734,38.9480018615723,39.3580017089844
+Djibouti,DJI,"Unemployment, female (% of female labor force) (national estimate)",SL.UEM.TOTL.FE.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,35.9000015258789,..,..,..,..
+Djibouti,DJI,"Unemployment, male (% of male labor force) (modeled ILO estimate)",SL.UEM.TOTL.MA.ZS,26.3619995117188,26.1949996948242,26.0020008087158,25.8490009307861,25.6620006561279,25.4570007324219,25.261999130249,25.0739994049072,24.8880004882813,24.6709995269775,24.4790000915527,24.2819995880127,24.1270008087158,23.8929996490479,23.6690006256104,23.492000579834,23.2830009460449,23.0499992370605,22.826000213623,22.6359996795654,22.431999206543,22.5750007629395,22.7560005187988,24.7280006408691,24.5550003051758
+Djibouti,DJI,"Unemployment, male (% of male labor force) (national estimate)",SL.UEM.TOTL.MA.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,22.0699996948242,..,..,..,..
+Djibouti,DJI,"Unemployment, total (% of total labor force) (modeled ILO estimate)",SL.UEM.TOTL.ZS,28.7019996643066,28.576000213623,28.431999206543,28.3449993133545,28.2169990539551,28.0830001831055,27.9640007019043,27.8470001220703,27.7199993133545,27.5739994049072,27.4440002441406,27.3050003051758,27.2210006713867,27.0580005645752,26.8880004882813,26.7779998779297,26.6380004882813,26.4750003814697,26.3250007629395,26.193000793457,26.0599994659424,26.1889991760254,26.3570003509521,28.3899993896484,28.3859996795654
+Djibouti,DJI,"Unemployment, total (% of total labor force) (national estimate)",SL.UEM.TOTL.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,26.0599994659424,..,..,..,..
+Djibouti,DJI,"Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.FE.ZS,53.890998840332,54.3600006103516,54.8870010375977,55.7220001220703,56.3339996337891,57.0779991149902,57.9669990539551,58.9029998779297,59.8349990844727,61.2270011901855,62.8310012817383,64.6389999389648,66.802001953125,68.8949966430664,70.1900024414063,71.5920028686523,72.8889999389648,74.1360015869141,75.4629974365234,76.6589965820313,77.9850006103516,78.0139999389648,78.1070022583008,82.5070037841797,82.1579971313477
+Djibouti,DJI,"Unemployment, youth female (% of female labor force ages 15-24) (national estimate)",SL.UEM.1524.FE.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,74.5999984741211,..,..,..,..
+Djibouti,DJI,"Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.MA.ZS,53.2649993896484,53.6780014038086,54.1269989013672,54.8819999694824,55.4109992980957,56.0540008544922,56.8320007324219,57.6469993591309,58.4469985961914,59.7980003356934,61.3300018310547,63.015998840332,65.0429992675781,66.9499969482422,68.0660018920898,69.3359985351563,70.5230026245117,71.6539993286133,72.8629989624023,73.943000793457,75.1910018920898,75.3919982910156,75.6389999389648,80.2649993896484,78.6210021972656
+Djibouti,DJI,"Unemployment, youth male (% of male labor force ages 15-24) (national estimate)",SL.UEM.1524.MA.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,72.0100021362305,..,..,..,..
+Djibouti,DJI,"Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.ZS,53.4620018005371,53.8930015563965,54.3689994812012,55.1520004272461,55.7109985351563,56.390998840332,57.2099990844727,58.0699996948242,58.9160003662109,60.2869987487793,61.8470001220703,63.5769996643066,65.6529998779297,67.6259994506836,68.8040008544922,70.1220016479492,71.3519973754883,72.5279998779297,73.7839965820313,74.9059982299805,76.1869964599609,76.3330001831055,76.5289993286133,81.0609970092773,79.9069976806641
+Djibouti,DJI,"Unemployment, youth total (% of total labor force ages 15-24) (national estimate)",SL.UEM.1524.NE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,73.0400009155273,..,..,..,..
+Djibouti,DJI,"Vulnerable employment, female (% of female employment) (modeled ILO estimate)",SL.EMP.VULN.FE.ZS,48.34999942779539,48.81000137329103,48.88000202178955,48.9799995422363,49.13999843597413,48.9999995231628,48.780001640319824,48.54999923706051,48.410000324249275,48.0599980354309,47.67000102996822,47.18999958038326,46.6899991035461,46.45000028610231,45.92999839782715,45.30999851226808,45.129998207092285,44.57999849319458,43.940001249313326,43.210001707077026,42.639998674392736,41.99999856948853,41.369998216629035,..,..
+Djibouti,DJI,"Vulnerable employment, male (% of male employment) (modeled ILO estimate)",SL.EMP.VULN.MA.ZS,34.20000028610225,34.8800005912781,35.45000028610232,36.049999237060504,36.419999599456744,36.62999868392945,36.71999883651737,36.740000724792516,36.60000157356262,36.33999824523925,35.98999977111815,35.55999898910526,35.43999981880187,34.94000077247624,34.189999818801866,33.72999978065489,32.910000801086426,32.21000051498417,31.46000027656553,30.81999921798706,30.26000094413753,29.34000051021579,28.50999915599823,..,..
+Djibouti,DJI,"Vulnerable employment, total (% of total employment) (modeled ILO estimate)",SL.EMP.VULN.ZS,39.4199981689453,40.030001640319824,40.41999912261966,40.87999963760374,41.210000991821346,41.319998741149945,41.349998950958295,41.299998283386245,41.16999912261967,40.88999843597412,40.51000070571895,40.059999227523754,39.78999853134157,39.38999891281131,38.7299997806549,38.21999931335445,37.679998159408555,37.04999876022342,36.3800010681152,35.69999980926513,35.15999937057491,34.35999822616577,33.60999965667728,..,..
+Djibouti,DJI,"Wage and salaried workers, female (% of female employment) (modeled ILO estimate)",SL.EMP.WORK.FE.ZS,51.2000007629395,50.7200012207031,50.6599998474121,50.560001373291,50.3699989318848,50.5099983215332,50.7400016784668,50.9700012207031,51.0900001525879,51.4599990844727,51.8499984741211,52.3400001525879,52.8499984741211,53.0699996948242,53.5699996948242,54.2000007629395,54.3400001525879,54.8800010681152,55.5299987792969,56.2799987792969,56.8499984741211,57.4900016784668,58.1100006103516,..,..
+Djibouti,DJI,"Wage and salaried workers, male (% of male employment) (modeled ILO estimate)",SL.EMP.WORK.MA.ZS,64.7799987792969,64.0299987792969,63.4900016784668,62.8699989318848,62.4599990844727,62.2599983215332,62.189998626709,62.1699981689453,62.2700004577637,62.560001373291,62.939998626709,63.4099998474121,63.5499992370605,63.9799995422363,64.7200012207031,65.2099990844727,65.9100036621094,66.620002746582,67.4000015258789,68.0999984741211,68.6800003051758,69.5999984741211,70.4400024414063,..,..
+Djibouti,DJI,"Wage and salaried workers, total (% of total employment) (modeled ILO estimate)",SL.EMP.WORK.ZS,59.7700004577637,59.1100006103516,58.7400016784668,58.2700004577637,57.9099998474121,57.7999992370605,57.7999992370605,57.8400001525879,57.939998626709,58.25,58.6399993896484,59.1300010681152,59.4099998474121,59.7599983215332,60.4099998474121,60.939998626709,61.3899993896484,62.0299987792969,62.7299995422363,63.4500007629395,64,64.8000030517578,65.5500030517578,..,..
+Djibouti,DJI,Women Business and the Law Index Score (scale 1-100),SG.LAW.INDX,53.125,53.125,53.125,53.125,53.125,53.125,53.125,53.125,56.25,59.375,59.375,59.375,59.375,59.375,59.375,59.375,59.375,59.375,59.375,59.375,59.375,61.875,68.125,68.125,68.125
+Djibouti,DJI,"Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care  (% of women age 15-49)",SG.DMK.SRCR.FN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,"Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)",SG.DMK.ALLD.FN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Women who believe a husband is justified in beating his wife (any of five reasons) (%),SG.VAW.REAS.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Women who believe a husband is justified in beating his wife when she argues with him (%),SG.VAW.ARGU.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Women who believe a husband is justified in beating his wife when she burns the food (%),SG.VAW.BURN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Women who believe a husband is justified in beating his wife when she goes out without telling him (%),SG.VAW.GOES.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Women who believe a husband is justified in beating his wife when she neglects the children (%),SG.VAW.NEGL.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Djibouti,DJI,Women who believe a husband is justified in beating his wife when she refuses sex with him (%),SG.VAW.REFU.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Adequacy of social insurance programs (% of total welfare of beneficiary households),per_si_allsi.adq_pop_tot,..,..,..,..,..,..,..,..,..,31.0870754804204,..,..,..,24.9349129142272,..,28.2748117217932,..,28.9393345877702,..,..,..,..,..,..,..
+Vietnam,VNM,Adequacy of social protection and labor programs (% of total welfare of beneficiary households),per_allsp.adq_pop_tot,..,..,..,..,..,..,..,..,..,26.3287820455898,..,..,..,16.7464200492624,..,19.8804252505164,..,22.5241930656147,..,..,..,..,..,..,..
+Vietnam,VNM,Adequacy of social safety net programs (% of total welfare of beneficiary households),per_sa_allsa.adq_pop_tot,..,..,..,..,..,..,..,..,..,14.118541137866,..,..,..,9.01395156709938,..,2.4891827895112,..,2.88902076181073,..,..,..,..,..,..,..
+Vietnam,VNM,Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households),per_lm_alllm.adq_pop_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Adjusted net national income (annual % growth),NY.ADJ.NNTY.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Adjusted net national income (constant 2015 US$),NY.ADJ.NNTY.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,152600000000,..,..,..,..,..,..
+Vietnam,VNM,Adjusted net national income (current US$),NY.ADJ.NNTY.CD,24810000000,25060000000,25890000000,27090000000,28310000000,30030000000,33170000000,36000000000,44580000000,50560000000,59670000000,75270000000,80180000000,89430000000,103200000000,120600000000,134200000000,146700000000,152600000000,161600000000,175600000000,193600000000,207200000000,217600000000,..
+Vietnam,VNM,Adjusted net national income per capita (annual % growth),NY.ADJ.NNTY.PC.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Adjusted net national income per capita (constant 2015 US$),NY.ADJ.NNTY.PC.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1646.5775217221449,..,..,..,..,..,..
+Vietnam,VNM,Adjusted net national income per capita (current US$),NY.ADJ.NNTY.PC.CD,321.65132705740297,320.8061394870215,327.57278021267075,339.0046385820741,350.62080069356284,368.31077177406553,403.0295868916358,433.4069133868428,531.7736421157663,597.5120171590892,698.5517186058074,872.7621945993238,920.6330069552687,1016.6236669603163,1161.2286807641028,1342.9556065423362,1478.7456265850167,1599.5403093425912,1646.5775217221449,1725.7502060941943,1856.2241696391006,2026.250006031129,2147.9936971727802,2235.495867039692,..
+Vietnam,VNM,"Adjusted net savings, excluding particulate emission damage (% of GNI)",NY.ADJ.SVNX.GN.ZS,16.149762,18.041787,19.352106,19.785437,19.216325,19.433833,16.663024,14.036679,12.165551,11.82293,12.058476,7.4421341,8.4692818,12.883938,10.956617,13.944955,14.316089,14.091716,9.7541791,8.5795742,8.8437331,9.5012419,8.5900761,9.2955386,..
+Vietnam,VNM,"Adjusted net savings, excluding particulate emission damage (current US$)",NY.ADJ.SVNX.CD,4266000000,4798000000,5450000000,6079000000,6197000000,6704000000,6486000000,6257000000,6883000000,7678000000,9073000000,7158000000,8554000000,14430000000,14240000000,20920000000,23480000000,24940000000,17660000000,16390000000,18310000000,21760000000,21050000000,23800000000,..
+Vietnam,VNM,"Adjusted net savings, including particulate emission damage (% of GNI)",NY.ADJ.SVNG.GN.ZS,15.645229,17.551246,18.887039,19.357489,18.815456,19.050507,16.29118,13.668565,11.808874,11.47628,11.72,7.0988664,8.1047679,12.514049,10.578015,13.566422,13.938012,13.729972,9.3858625,8.2185929,8.4962067,9.1722106,8.2635527,8.9686326,..
+Vietnam,VNM,"Adjusted net savings, including particulate emission damage (current US$)",NY.ADJ.SVNG.CD,4132000000,4667000000,5319000000,5948000000,6068000000,6571000000,6341000000,6093000000,6681000000,7453000000,8819000000,6828000000,8186000000,14020000000,13750000000,20350000000,22860000000,24300000000,16990000000,15700000000,17590000000,21000000000,20250000000,22960000000,..
+Vietnam,VNM,Adjusted savings: carbon dioxide damage (% of GNI),NY.ADJ.DCO2.GN.ZS,2.5175122,2.8982264,2.8579925,3.0745277,3.3770182,3.8786585,3.8332104,4.1791809,3.7844102,3.6298321,3.6360133,3.2911036,3.6039455,3.8308779,3.4145537,3.0698969,3.0341086,3.2110356,4.0303754,4.2016213,4.0151975,4.4117612,4.6458016,4.835873,..
+Vietnam,VNM,Adjusted savings: carbon dioxide damage (current US$),NY.ADJ.DCO2.CD,665000000,770700000,804900000,944700000,1089000000,1338000000,1492000000,1863000000,2141000000,2357000000,2736000000,3165000000,3640000000,4291000000,4439000000,4605000000,4976000000,5684000000,7295000000,8025000000,8311000000,10100000000,11380000000,12380000000,..
+Vietnam,VNM,Adjusted savings: consumption of fixed capital (% of GNI),NY.ADJ.DKAP.GN.ZS,3.698863,4.360243,5.390147,6.3234902,7.6630715,9.0197527,10.761321,12.69311,14.130882,15.388256,15.524368,16.31332,17.903829,16.882495,16.664769,15.939896,15.368305,14.715188,14.396217,14.498919,14.178682,14.241073,14.625994,14.537728,..
+Vietnam,VNM,Adjusted savings: consumption of fixed capital (current US$),NY.ADJ.DKAP.CD,977000000,1160000000,1518000000,1943000000,2471000000,3111000000,4189000000,5658000000,7995000000,9994000000,11680000000,15690000000,18080000000,18910000000,21660000000,23910000000,25200000000,26050000000,26060000000,27690000000,29350000000,32610000000,35830000000,37220000000,..
+Vietnam,VNM,Adjusted savings: education expenditure (% of GNI),NY.ADJ.AEDU.GN.ZS,2.6,2.8134768,2.9044295,2.9953822,3.0863349,3.1772876,3.2682402,3.3591929,3.4501456,3.5410983,3.632051,3.7230037,3.8139564,5.36,3.8720162,4.5866422,4.6030501,4.6030501,4.6030501,4.6030501,4.6030501,4.6030501,4.6030501,4.6030501,..
+Vietnam,VNM,Adjusted savings: education expenditure (current US$),NY.ADJ.AEDU.CD,686800000,748200000,818000000,920400000,995300000,1096000000,1272000000,1497000000,1952000000,2300000000,2733000000,3581000000,3852000000,6003000000,5034000000,6880000000,7549000000,8147000000,8332000000,8792000000,9528000000,10540000000,11280000000,11780000000,..
+Vietnam,VNM,Adjusted savings: energy depletion (% of GNI),NY.ADJ.DNGY.GN.ZS,2.3676429,1.3881996,2.6609134,5.4987826,4.5412352,3.8867733,3.993455,6.5321389,7.0209978,6.5905459,4.9266895,4.9238113,2.3318009,3.0171982,3.5846693,3.3883781,2.6302764,2.2741765,1.2106826,0.8231446,0.89484211,1.1303801,0.77403616,0.43654839,..
+Vietnam,VNM,Adjusted savings: energy depletion (current US$),NY.ADJ.DNGY.CD,625400000,369200000,749400000,1690000000,1464000000,1341000000,1554000000,2912000000,3972000000,4280000000,3707000000,4736000000,2355000000,3379000000,4660000000,5083000000,4314000000,4025000000,2191000000,1572000000,1852000000,2589000000,1896000000,1118000000,..
+Vietnam,VNM,Adjusted savings: gross savings (% of GNI),NY.ADJ.ICTR.GN.ZS,22.150266,23.886082,27.367414,31.701954,31.726413,33.064972,32.00212,34.105333,33.693572,34.062673,32.75887,28.756065,28.740736,31.641251,31.183439,32.121047,30.963386,29.751973,24.86601,23.571947,23.454784,24.712583,24.03339,24.575122,..
+Vietnam,VNM,Adjusted savings: mineral depletion (% of GNI),NY.ADJ.DMIN.GN.ZS,0.01648542,0.01110234,0.01068516,0.01509842,0.01509812,0.02324221,0.01934932,0.02341732,0.04187685,0.17220668,0.24537452,0.50870009,0.37335918,0.24909602,0.36243366,0.27230816,0.19590006,0.12352794,0.09129627,0.08818805,0.10071711,0.07361622,0.01263381,0.02842407,..
+Vietnam,VNM,Adjusted savings: mineral depletion (current US$),NY.ADJ.DMIN.CD,4354421.3,2952445,3009344.2,4639131.7,4868819,8017243.9,7531440.7,10438686,23691930,111800000,184600000,489300000,377100000,279000000,471200000,408500000,321300000,218600000,165200000,168400000,208500000,168600000,30952823,72765611,..
+Vietnam,VNM,Adjusted savings: natural resources depletion (% of GNI),NY.ADJ.DRES.GN.ZS,2.38412832,1.3993019400000002,2.67159856,5.51388102,4.55633332,3.91001551,4.01280432,6.55555622,7.06287465,6.762752580000001,5.1720640200000005,5.43251139,2.70516008,3.2662942200000002,3.9471029599999996,3.6606862600000003,2.82617646,2.39770444,1.30197887,0.91133265,0.9955592200000001,1.20399632,0.7866699699999999,0.46497246000000003,..
+Vietnam,VNM,Adjusted savings: net forest depletion (% of GNI),NY.ADJ.DFOR.GN.ZS,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,..
+Vietnam,VNM,Adjusted savings: net forest depletion (current US$),NY.ADJ.DFOR.CD,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,..
+Vietnam,VNM,Adjusted savings: net national savings (% of GNI),NY.ADJ.NNAT.GN.ZS,18.451403,19.525839,21.977267,25.378464,24.063342,24.045219,21.240798,21.412223,19.56269,18.674417,17.234503,12.442745,10.964431,14.62111,14.446257,16.088896,15.573324,15.097406,10.483483,9.0894781,9.2514397,10.513949,9.4194976,9.9933339,..
+Vietnam,VNM,Adjusted savings: net national savings (current US$),NY.ADJ.NNAT.CD,4874000000,5193000000,6190000000,7798000000,7760000000,8294000000,8268000000,9545000000,11070000000,12130000000,12970000000,11970000000,11070000000,16380000000,18780000000,24130000000,25540000000,26720000000,18980000000,17360000000,19150000000,24080000000,23080000000,25580000000,..
+Vietnam,VNM,Adjusted savings: particulate emission damage (% of GNI),NY.ADJ.DPEM.GN.ZS,0.50453345,0.49054119,0.46506617,0.427948,0.4008694,0.38332627,0.37184406,0.36811403,0.35667647,0.34665006,0.3384763,0.34326769,0.36451396,0.36988877,0.37860207,0.378533,0.3780771,0.36174421,0.36831664,0.36098128,0.34752642,0.32903129,0.32652344,0.32690602,..
+Vietnam,VNM,Adjusted savings: particulate emission damage (current US$),NY.ADJ.DPEM.CD,133300000,130400000,131000000,131500000,129300000,132200000,144700000,164100000,201800000,225100000,254700000,330200000,368200000,414300000,492200000,567800000,620000000,640300000,666700000,689500000,719400000,753500000,800000000,836900000,..
+Vietnam,VNM,"Agriculture, forestry, and fishing, value added (annual % growth)",NV.AGR.TOTL.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Agriculture, forestry, and fishing, value added (constant 2015 US$)",NV.AGR.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)",NV.AGR.EMPL.KD,710.9304788851892,719.5827541991346,736.7239149744294,750.2784569337318,773.821170196589,808.4603558970374,855.7723058490952,902.6652236048357,973.1935151629041,1052.3408203648032,1125.1575317333768,1168.1544698980797,1194.2235301565383,1140.3773656552655,1176.6226202949313,1215.9912855612572,1236.0747310291338,1273.9676447590614,1366.7415389201349,1449.721243474592,1538.9148277958654,1629.005102443523,1734.9376309227696,..,..
+Vietnam,VNM,"Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)",SI.SPR.PC40.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.75,..,..,..
+Vietnam,VNM,"Annualized average growth rate in per capita real survey mean consumption or income, total population (%)",SI.SPR.PCAP.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,6.46,..,..,..
+Vietnam,VNM,"Average working hours of children, study and work, ages 7-14 (hours per week)",SL.TLF.0714.SW.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,11.6,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Average working hours of children, study and work, female, ages 7-14 (hours per week)",SL.TLF.0714.SW.FE.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,11.3,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Average working hours of children, study and work, male, ages 7-14 (hours per week)",SL.TLF.0714.SW.MA.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,11.8,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Average working hours of children, working only, ages 7-14 (hours per week)",SL.TLF.0714.WK.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,34.2,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Average working hours of children, working only, female, ages 7-14 (hours per week)",SL.TLF.0714.WK.FE.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,32.6,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Average working hours of children, working only, male, ages 7-14 (hours per week)",SL.TLF.0714.WK.MA.TM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,35.3,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits),per_si_allsi.ben_q1_tot,..,..,..,..,..,..,..,..,..,1.90616723709744,..,..,..,1.07852598112075,..,1.95383206025073,..,1.6220909516921,..,..,..,..,..,..,..
+Vietnam,VNM,Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits),per_allsp.ben_q1_tot,..,..,..,..,..,..,..,..,..,4.67684279411817,..,..,..,3.05921178480699,..,3.80939896722388,..,3.67648029252563,..,..,..,..,..,..,..
+Vietnam,VNM,Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits),per_sa_allsa.ben_q1_tot,..,..,..,..,..,..,..,..,..,14.5393713498041,..,..,..,6.50028696440252,..,43.6501556076413,..,63.7974577317895,..,..,..,..,..,..,..
+Vietnam,VNM,Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits),per_lm_alllm.ben_q1_tot,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Child employment in agriculture (% of economically active children ages 7-14),SL.AGR.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,77.14,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Child employment in agriculture, female (% of female economically active children ages 7-14)",SL.AGR.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,72.73,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Child employment in agriculture, male (% of male economically active children ages 7-14)",SL.AGR.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,80.66,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Child employment in manufacturing (% of economically active children ages 7-14),SL.MNF.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,5.9,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Child employment in manufacturing, female (% of female economically active children ages 7-14)",SL.MNF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,8.41,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Child employment in manufacturing, male (% of male economically active children ages 7-14)",SL.MNF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3.91,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Child employment in services (% of economically active children ages 7-14),SL.SRV.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,16.18,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Child employment in services, female (% of female economically active children ages 7-14)",SL.SRV.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,18.39,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Child employment in services, male (% of male economically active children ages 7-14)",SL.SRV.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,14.42,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, female (% of female children ages 7-14)",SL.TLF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,21.6,..,..,..,..,13.5,10.1,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, male (% of male children ages 7-14)",SL.TLF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,21,..,..,..,..,12.5,11.7,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, self-employed (% of children in employment, ages 7-14)",SL.SLF.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,8.18,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, self-employed, female (% of female children in employment, ages 7-14)",SL.SLF.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,6.03,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, self-employed, male (% of male children in employment, ages 7-14)",SL.SLF.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,9.9,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, study and work (% of children in employment, ages 7-14)",SL.TLF.0714.SW.ZS,..,..,..,..,..,..,..,..,..,88.1,..,..,..,..,84.1,81,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, study and work, female (% of female children in employment, ages 7-14)",SL.TLF.0714.SW.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,83.4,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, study and work, male (% of male children in employment, ages 7-14)",SL.TLF.0714.SW.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,79.1,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, total (% of children ages 7-14)",SL.TLF.0714.ZS,..,..,..,..,..,..,..,..,..,21.3,..,..,..,..,13,10.9,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, unpaid family workers (% of children in employment, ages 7-14)",SL.FAM.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,87.37,84.29,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14)",SL.FAM.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,85.52,86.71,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14)",SL.FAM.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,89.2,82.35,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, wage workers (% of children in employment, ages 7-14)",SL.WAG.0714.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,9.69,7.53,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, wage workers, female (% of female children in employment, ages 7-14)",SL.WAG.0714.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,11.59,7.26,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, wage workers, male (% of male children in employment, ages 7-14)",SL.WAG.0714.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,7.8,7.75,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, work only (% of children in employment, ages 7-14)",SL.TLF.0714.WK.ZS,..,..,..,..,..,..,..,..,..,11.9,..,..,..,..,15.9,19,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, work only, female (% of female children in employment, ages 7-14)",SL.TLF.0714.WK.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,16.6,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Children in employment, work only, male (% of male children in employment, ages 7-14)",SL.TLF.0714.WK.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,20.9,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Community health workers (per 1,000 people)",SH.MED.CMHW.P3,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Contributing family workers, female (% of female employment) (modeled ILO estimate)",SL.FAM.WORK.FE.ZS,56.7400016784668,53.9199981689453,55.1300010681152,54.2099990844727,54.1100006103516,53.3899993896484,51.0400009155273,47.5099983215332,42.0499992370605,36.7299995422363,31.6100006103516,26.8299999237061,22.3099994659424,26.3400001525879,24.9200000762939,23.1900005340576,22.6800003051758,26.6299991607666,23.3700008392334,22.1499996185303,21.4799995422363,20.4300003051758,19.0799999237061,..,..
+Vietnam,VNM,"Contributing family workers, male (% of male employment) (modeled ILO estimate)",SL.FAM.WORK.MA.ZS,23.4300003051758,22.7099990844727,23.0599994659424,21.7000007629395,22.3899993896484,23.9899997711182,22.2700004577637,19.0200004577637,17.6399993896484,16.2399997711182,14.7799997329712,13.3299999237061,11.8500003814697,13.0900001525879,12.539999961853,12.1599998474121,12.0799999237061,16.6000003814697,11.5,10.460000038147,10.1899995803833,9.89999961853027,9.15999984741211,..,..
+Vietnam,VNM,"Contributing family workers, total (% of total employment) (modeled ILO estimate)",SL.FAM.WORK.ZS,39.6199989318848,37.8400001525879,38.560001373291,37.439998626709,37.6300010681152,38.1599998474121,36.0999984741211,32.7099990844727,29.3799991607666,26.1000003814697,22.8799991607666,19.8199996948242,16.8700008392334,19.4099998474121,18.4699993133545,17.4599990844727,17.1700000762939,21.4200000762939,17.1700000762939,16.0499992370605,15.5900001525879,14.9300003051758,13.8999996185303,..,..
+Vietnam,VNM,Coverage of social insurance programs (% of population),per_si_allsi.cov_pop_tot,..,..,..,..,..,..,..,..,..,17.1598824549761,..,..,..,14.0923491492514,..,14.4107161374148,..,15.2492432666176,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of social insurance programs in 2nd quintile (% of population),per_si_allsi.cov_q2_tot,..,..,..,..,..,..,..,..,..,7.9550919273315,..,..,..,5.59155317933305,..,6.93270333447554,..,7.01815430876617,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of social insurance programs in 3rd quintile (% of population),per_si_allsi.cov_q3_tot,..,..,..,..,..,..,..,..,..,14.1131812495988,..,..,..,11.1851466859905,..,11.6623936809786,..,12.3346880877971,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of social insurance programs in 4th quintile (% of population),per_si_allsi.cov_q4_tot,..,..,..,..,..,..,..,..,..,22.1270761025657,..,..,..,19.3957722321376,..,20.4168682648085,..,20.3496829964469,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of social insurance programs in poorest quintile (% of population),per_si_allsi.cov_q1_tot,..,..,..,..,..,..,..,..,..,5.51185442882699,..,..,..,2.15203912074846,..,2.82492845187023,..,3.11494198837069,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of social insurance programs in richest quintile (% of population),per_si_allsi.cov_q5_tot,..,..,..,..,..,..,..,..,..,36.0866707678521,..,..,..,32.1313702701249,..,30.2094202279661,..,33.4178396805731,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of social protection and labor programs (% of population),per_allsp.cov_pop_tot,..,..,..,..,..,..,..,..,..,37.4487034117681,..,..,..,55.0599142905182,..,40.4465516629976,..,34.8579326536508,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of social safety net programs (% of population),per_sa_allsa.cov_pop_tot,..,..,..,..,..,..,..,..,..,22.5312115655317,..,..,..,38.5410478848029,..,23.3843714424791,..,17.5068280169369,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of social safety net programs in 2nd quintile (% of population),per_sa_allsa.cov_q2_tot,..,..,..,..,..,..,..,..,..,23.9815388527973,..,..,..,40.8296289306321,..,26.0030758394187,..,19.7374296064221,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of social safety net programs in 3rd quintile (% of population),per_sa_allsa.cov_q3_tot,..,..,..,..,..,..,..,..,..,17.3059202809682,..,..,..,35.1523623024699,..,15.2205744681066,..,10.7925183097415,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of social safety net programs in 4th quintile (% of population),per_sa_allsa.cov_q4_tot,..,..,..,..,..,..,..,..,..,14.6865647591205,..,..,..,31.4829136993085,..,11.0585466772453,..,5.35849043459861,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of social safety net programs in poorest quintile (% of population),per_sa_allsa.cov_q1_tot,..,..,..,..,..,..,..,..,..,47.205404748293,..,..,..,58.2617207124027,..,58.9311662342351,..,48.3865774052822,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of social safety net programs in richest quintile (% of population),per_sa_allsa.cov_q5_tot,..,..,..,..,..,..,..,..,..,9.48374261087224,..,..,..,26.9893615491785,..,5.71483935824504,..,3.26827187574559,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of unemployment benefits and ALMP (% of population),per_lm_alllm.cov_pop_tot,..,..,..,..,..,..,..,..,..,6.08825278751,..,..,..,18.4187635134711,..,14.1807390506436,..,8.97639302634177,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of unemployment benefits and ALMP in 2nd quintile (% of population),per_lm_alllm.cov_q2_tot,..,..,..,..,..,..,..,..,..,6.61469130054842,..,..,..,19.942072379211,..,16.2411101712557,..,9.1787862809188,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of unemployment benefits and ALMP in 3rd quintile (% of population),per_lm_alllm.cov_q3_tot,..,..,..,..,..,..,..,..,..,2.50894304838074,..,..,..,16.1834321962503,..,11.7885159489877,..,6.0289782153829,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of unemployment benefits and ALMP in 4th quintile (% of population),per_lm_alllm.cov_q4_tot,..,..,..,..,..,..,..,..,..,2.04637345328565,..,..,..,12.2841323021365,..,6.40880702804594,..,3.94674784407433,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of unemployment benefits and ALMP in poorest quintile (% of population),per_lm_alllm.cov_q1_tot,..,..,..,..,..,..,..,..,..,18.896088747493,..,..,..,40.3625024915716,..,33.4595110357731,..,24.4048442996947,..,..,..,..,..,..,..
+Vietnam,VNM,Coverage of unemployment benefits and ALMP in richest quintile (% of population),per_lm_alllm.cov_q5_tot,..,..,..,..,..,..,..,..,..,0.378738904606037,..,..,..,3.33436254167076,..,3.01000379430127,..,1.32689196096911,..,..,..,..,..,..,..
+Vietnam,VNM,Current health expenditure (% of GDP),SH.XPD.CHEX.GD.ZS,..,..,..,3.81915784,4.51130724,3.59967494,3.66619444,3.7992034,4.01387453,4.24659586,4.30235815,4.05425787,4.16906261,4.69927359,4.6128521,5.00178242,5.07556248,4.6127553,4.56543732,4.51853609,4.71283436,5.03448868,5.24965572,..,..
+Vietnam,VNM,Current health expenditure per capita (current US$),SH.XPD.CHEX.PC.CD,..,..,..,18.91674423,23.18782616,19.65594101,22.37121964,28.7441864,35.03743744,42.29331589,49.50850296,59.16986084,64.43672943,78.63555908,89.58512878,108.93997192,119.52192688,117.41460419,117.86289215,124.0594101,140.16532898,163.1509552,180.71818542,..,..
+Vietnam,VNM,"Current health expenditure per capita, PPP (current international $)",SH.XPD.CHEX.PP.CD,..,..,..,96.36966705,122.26291656,104.34003448,114.63062286,141.61390686,150.88922119,174.31311035,192.45111084,193.48219299,209.23999023,251.39782715,265.6947937,316.587677,339.48956299,332.25540161,344.95898438,371.97747803,423.98468018,493.9914856,558.87298584,..,..
+Vietnam,VNM,Domestic general government health expenditure (% of current health expenditure),SH.XPD.GHED.CH.ZS,..,..,..,34.89794922,26.49161148,36.47419739,32.91641998,35.65555954,36.72709656,36.02748108,35.31490707,37.67632294,36.24856949,39.61755371,38.69340134,41.91252899,47.11077499,41.95794296,41.80939484,47.43162537,46.10822678,41.62815475,43.7980957,..,..
+Vietnam,VNM,Domestic general government health expenditure (% of GDP),SH.XPD.GHED.GD.ZS,..,..,..,1.33280778,1.19511807,1.31295264,1.20678008,1.35462737,1.47417974,1.52994156,1.51937377,1.52749527,1.51122534,1.86173725,1.78486931,2.09637356,2.39113688,1.93541718,1.90878153,2.14321518,2.17300439,2.09576464,2.29924917,..,..
+Vietnam,VNM,Domestic general government health expenditure (% of general government expenditure),SH.XPD.GHED.GE.ZS,..,..,..,7.49261236,6.22713661,6.64880705,5.43691063,6.96803188,7.14737988,7.45082951,6.81436205,7.14450169,6.0510025,7.84861135,8.40974712,8.93348789,9.77689266,8.50548553,7.89614296,9.64080048,10.09323883,10.21770763,10.06818295,..,..
+Vietnam,VNM,Domestic general government health expenditure per capita (current US$),SH.XPD.GHED.PC.CD,..,..,..,6.6015554,6.14282925,7.16934722,7.36380559,10.24890108,12.8682337,15.23721709,17.48388091,22.29302947,23.3573898,31.15348338,34.66353448,45.65949866,56.3077061,49.26475222,49.27776173,58.84340106,64.62774436,67.91673632,79.15112415,..,..
+Vietnam,VNM,"Domestic general government health expenditure per capita, PPP (current international $)",SH.XPD.GHED.PP.CD,..,..,..,33.631037,32.38941783,38.05718879,37.73229956,50.49323325,55.41723015,62.8006228,67.96392602,72.89697968,75.84649643,99.59766531,102.80635429,132.68990127,159.93616078,139.40753482,144.22526636,176.43498073,195.49182487,205.63954366,244.77572261,..,..
+Vietnam,VNM,Domestic private health expenditure (% of current health expenditure),SH.XPD.PVTD.CH.ZS,..,..,..,60.85498428,69.58628082,58.83494186,62.19817352,58.8431282,59.2638092,59.96383286,61.08750153,60.11936188,61.29605865,58.13803101,58.94776535,55.66624451,50.6530838,54.85071564,56.0296402,50.27044296,52.80683136,57.35515976,55.23139954,..,..
+Vietnam,VNM,Domestic private health expenditure per capita (current US$),SH.XPD.PVTD.PC.CD,..,..,..,11.51178156,16.13554664,11.56456145,13.91449165,16.91397839,20.76451866,25.36069528,30.24350685,35.57254339,39.49717403,45.71716244,52.80843189,60.64279008,60.54153991,64.40274986,66.03815805,62.36522353,74.01686304,93.57549448,99.8131897,..,..
+Vietnam,VNM,"Domestic private health expenditure per capita, PPP (current international $)",SH.XPD.PVTD.PP.CD,..,..,..,58.64574757,85.07821729,61.38839214,71.29815701,83.33005157,89.42269286,104.5248256,117.5635703,116.32025949,128.25586653,146.15773743,156.62114209,176.23246126,171.96192371,182.24446869,193.27929273,186.99474901,223.89287712,283.32960364,308.67338771,..,..
+Vietnam,VNM,"Employers, female (% of female employment) (modeled ILO estimate)",SL.EMP.MPYR.FE.ZS,0.100000001490116,0.0199999995529652,0.0799999982118607,0.150000005960464,0.300000011920929,0.270000010728836,0.230000004172325,0.300000011920929,0.490000009536743,0.800000011920929,1.27999997138977,2.03999996185303,3.19000005722046,2.22000002861023,1.8400000333786,1.66999995708466,1.5,1.21000003814697,1.87000000476837,1.8400000333786,1.12000000476837,1.19000005722046,1.13999998569489,..,..
+Vietnam,VNM,"Employers, male (% of male employment) (modeled ILO estimate)",SL.EMP.MPYR.MA.ZS,0.209999993443489,0.0700000002980232,0.159999996423721,0.270000010728836,0.310000002384186,0.5,0.449999988079071,0.699999988079071,1.0900000333786,1.71000003814697,2.65000009536743,4.1100001335144,6.26000022888184,4.55000019073486,3.85999989509583,3.64000010490417,3.40000009536743,2.90000009536743,3.83999991416931,3.75,2.88000011444092,3.00999999046326,2.79999995231628,..,..
+Vietnam,VNM,"Employers, total (% of total employment) (modeled ILO estimate)",SL.EMP.MPYR.ZS,0.159999996423721,0.0399999991059303,0.119999997317791,0.209999993443489,0.310000002384186,0.389999985694885,0.349999994039536,0.509999990463257,0.800000011920929,1.26999998092651,1.99000000953674,3.10999989509583,4.78999996185303,3.44000005722046,2.89000010490417,2.70000004768372,2.49000000953674,2.08999991416931,2.90000009536743,2.82999992370605,2.02999997138977,2.14000010490417,2,..,..
+Vietnam,VNM,Employment in agriculture (% of total employment) (modeled ILO estimate),SL.AGR.EMPL.ZS,65.2799987792969,64.7699966430664,64.9899978637695,65.25,63.9900016784668,62.0400009155273,59.6800003051758,57.9000015258789,54.8300018310547,51.6699981689453,49.2799987792969,48.6199989318848,47.5499992370605,48.7099990844727,48.310001373291,47.3699989318848,46.810001373291,46.3400001525879,44.0200004577637,41.8699989318848,40.1599998474121,38.7000007629395,37.2200012207031,..,..
+Vietnam,VNM,"Employment in agriculture, female (% of female employment) (modeled ILO estimate)",SL.AGR.EMPL.FE.ZS,66.0199966430664,65.5999984741211,65.4499969482422,66.2799987792969,64.9599990844727,63.1300010681152,61.7099990844727,59.9900016784668,56.9599990844727,53.7799987792969,51.4799995422363,50.9599990844727,50.0200004577637,51.189998626709,50.9500007629395,49.5099983215332,48.7799987792969,48.1300010681152,45.4500007629395,43.4799995422363,41.4700012207031,39.9000015258789,38.2999992370605,..,..
+Vietnam,VNM,"Employment in agriculture, male (% of male employment) (modeled ILO estimate)",SL.AGR.EMPL.MA.ZS,64.5800018310547,63.9799995422363,64.5599975585938,64.2900009155273,63.0900001525879,61.0299987792969,57.7900009155273,55.9599990844727,52.8600006103516,49.7000007629395,47.25,46.4500007629395,45.2700004577637,46.439998626709,45.8899993896484,45.3899993896484,44.9900016784668,44.6800003051758,42.7099990844727,40.3800010681152,38.9500007629395,37.5999984741211,36.2299995422363,..,..
+Vietnam,VNM,Employment in industry (% of total employment) (modeled ILO estimate),SL.IND.EMPL.ZS,12.6800003051758,11.5799999237061,11.9899997711182,12.4399995803833,13.8999996185303,14.6999998092651,16.4099998474121,17.3500003814697,18.7399997711182,20.1900005340576,20.3899993896484,21,21.8500003814697,21.6800003051758,21.2800006866455,21.1900005340576,21.1800003051758,21.4500007629395,22.7399997711182,24.7600002288818,25.7800006866455,26.6399993896484,27.4400005340576,..,..
+Vietnam,VNM,"Employment in industry, female (% of female employment) (modeled ILO estimate)",SL.IND.EMPL.FE.ZS,10.3999996185303,9.13000011444092,9.84000015258789,10.1199998855591,11.1499996185303,11.6999998092651,12.9700002670288,13.7299995422363,14.7799997329712,15.8999996185303,16.0900001525879,16.4400005340576,16.9699993133545,17.25,16.5599994659424,16.8400001525879,16.9599990844727,17.5,19.3199996948242,20.7700004577637,21.8099994659424,22.5599994659424,23.2800006866455,..,..
+Vietnam,VNM,"Employment in industry, male (% of male employment) (modeled ILO estimate)",SL.IND.EMPL.MA.ZS,14.8400001525879,13.8900003433228,14.0100002288818,14.6199998855591,16.4400005340576,17.4899997711182,19.6000003814697,20.7099990844727,22.3999996185303,24.1599998474121,24.3799991607666,25.2299995422363,26.3600006103516,25.7199993133545,25.6200008392334,25.2199993133545,25.0900001525879,25.1000003814697,25.8799991607666,28.4300003051758,29.4200000762939,30.3799991607666,31.2600002288818,..,..
+Vietnam,VNM,Employment in services (% of total employment) (modeled ILO estimate),SL.SRV.EMPL.ZS,22.0400009155273,23.6499996185303,23.0200004577637,22.3099994659424,22.1100006103516,23.2600002288818,23.9099998474121,24.75,26.4400005340576,28.1499996185303,30.3299999237061,30.3799991607666,30.6000003814697,29.6100006103516,30.4099998474121,31.4400005340576,32,32.2200012207031,33.2400016784668,33.3699989318848,34.0699996948242,34.6599998474121,35.3400001525879,..,..
+Vietnam,VNM,"Employment in services, female (% of female employment) (modeled ILO estimate)",SL.SRV.EMPL.FE.ZS,23.5799999237061,25.2700004577637,24.7099990844727,23.6000003814697,23.8899993896484,25.1700000762939,25.3199996948242,26.2800006866455,28.2600002288818,30.3199996948242,32.439998626709,32.5999984741211,33.0099983215332,31.5599994659424,32.4900016784668,33.6599998474121,34.2599983215332,34.3800010681152,35.2400016784668,35.75,36.7200012207031,37.5400009155273,38.4199981689453,..,..
+Vietnam,VNM,"Employment in services, male (% of male employment) (modeled ILO estimate)",SL.SRV.EMPL.MA.ZS,20.5799999237061,22.1299991607666,21.4400005340576,21.0900001525879,20.4699993133545,21.4899997711182,22.6100006103516,23.3400001525879,24.7399997711182,26.1399993896484,28.3700008392334,28.3199996948242,28.3700008392334,27.8400001525879,28.5,29.3999996185303,29.9200000762939,30.2199993133545,31.4099998474121,31.2000007629395,31.6299991607666,32.0200004577637,32.5099983215332,..,..
+Vietnam,VNM,"Employment to population ratio, 15+, female (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.FE.ZS,68.9079971313477,68.6880035400391,68.6460037231445,67.2740020751953,67.2249984741211,67.3820037841797,66.6370010375977,65.9130020141602,66.9960021972656,68.0419998168945,69.1110000610352,69.6849975585938,70.318000793457,70.754997253418,70.875,71.0449981689453,71.7710037231445,71.8310012817383,71.1949996948242,70.6790008544922,70.197998046875,69.6910018920898,68.9199981689453,67.6999969482422,68.1809997558594
+Vietnam,VNM,"Employment to population ratio, 15+, female (%) (national estimate)",SL.EMP.TOTL.SP.FE.NE.ZS,69,68.8000030517578,68.6999969482422,67.4000015258789,67.3000030517578,67.4000015258789,66.6999969482422,65.9499969482422,..,..,69.1699981689453,..,70.370002746582,70.8000030517578,70.9300003051758,71.0800018310547,71.8199996948242,71.8899993896484,71.2600021362305,70.7300033569336,70.2300033569336,69.7200012207031,69.3499984741211,66.1999969482422,66.6399993896484
+Vietnam,VNM,"Employment to population ratio, 15+, male (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.MA.ZS,75.6119995117188,75.5210037231445,75.0989990234375,74.2369995117188,74.9400024414063,74.7259979248047,74.3079986572266,74.0429992675781,74.9779968261719,75.8529968261719,76.7330017089844,77.7799987792969,78.8720016479492,80.0709991455078,80.3170013427734,79.9309997558594,80.3939971923828,80.4670028686523,80.5199966430664,79.7750015258789,79.3830032348633,79.963996887207,79.1259994506836,78.427001953125,77.6620025634766
+Vietnam,VNM,"Employment to population ratio, 15+, male (%) (national estimate)",SL.EMP.TOTL.SP.MA.NE.ZS,75.6999969482422,75.6999969482422,75.0999984741211,74.3000030517578,75.0999984741211,74.8000030517578,74.4000015258789,74.0899963378906,..,..,76.8000030517578,..,78.9199981689453,80.120002746582,80.370002746582,79.9800033569336,80.4400024414063,80.5400009155273,80.5800018310547,79.8300018310547,79.4100036621094,80,79.5999984741211,77.5199966430664,75.879997253418
+Vietnam,VNM,"Employment to population ratio, 15+, total (%) (modeled ILO estimate)",SL.EMP.TOTL.SP.ZS,72.1679992675781,72.0120010375977,71.7870025634766,70.6660003662109,70.9850006103516,70.9629974365234,70.379997253418,69.8820037841797,70.8949966430664,71.8610000610352,72.8410034179688,73.6500015258789,74.5110015869141,75.3249969482422,75.5070037841797,75.4049987792969,76.0029983520508,76.0690002441406,75.7720031738281,75.1439971923828,74.7060012817383,74.7330017089844,73.9290008544922,72.9649963378906,72.8349990844727
+Vietnam,VNM,"Employment to population ratio, 15+, total (%) (national estimate)",SL.EMP.TOTL.SP.NE.ZS,72.1999969482422,72,71.8000030517578,70.6999969482422,71,70.9000015258789,70.4000015258789,69.879997253418,..,..,72.8399963378906,..,74.5100021362305,75.3199996948242,75.5100021362305,75.4000015258789,76.0100021362305,76.0800018310547,75.7699966430664,75.1399993896484,74.6999969482422,74.7399978637695,74.3600006103516,71.7399978637695,71.1600036621094
+Vietnam,VNM,"Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)",SL.EMP.1524.SP.FE.ZS,63.6160011291504,61.6650009155273,58.9440002441406,54.875,58.2859992980957,56.8390007019043,54.2649993896484,53.0069999694824,52.7709999084473,52.507999420166,52.2770004272461,53.8339996337891,55.4650001525879,53.9070014953613,51.2820014953613,50.2639999389648,52.056999206543,52.3089981079102,51.9160003662109,49.976001739502,49.367000579834,49.6129989624023,47.382999420166,45.5349998474121,46.2389984130859
+Vietnam,VNM,"Employment to population ratio, ages 15-24, female (%) (national estimate)",SL.EMP.1524.SP.FE.NE.ZS,..,..,..,..,..,..,..,52.689998626709,..,..,51.5,..,54.9700012207031,53.4500007629395,50.5099983215332,49.2099990844727,50.9500007629395,51.2099990844727,51.2400016784668,49.3600006103516,48.9700012207031,49.3499984741211,51.1599998474121,46.0499992370605,40.2799987792969
+Vietnam,VNM,"Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)",SL.EMP.1524.SP.MA.ZS,61.0359992980957,59.1440010070801,55.9809989929199,52.3009986877441,56.617000579834,55.7060012817383,54.6790008544922,54.4029998779297,54.3310012817383,54.2000007629395,54.0979995727539,56.6209983825684,59.2120018005371,59.2070007324219,58.9269981384277,57.1769981384277,58.9959983825684,58.7150001525879,59.1290016174316,56.2360000610352,55.9259986877441,56.1450004577637,54.2330017089844,53.4379997253418,52.7809982299805
+Vietnam,VNM,"Employment to population ratio, ages 15-24, male (%) (national estimate)",SL.EMP.1524.SP.MA.NE.ZS,..,..,..,..,..,..,..,54.3400001525879,..,..,53.310001373291,..,58.4900016784668,58.5900001525879,58.1100006103516,56.2200012207031,58.0299987792969,57.7299995422363,58.5099983215332,55.5999984741211,55.5499992370605,55.6199989318848,56.6599998474121,52.2400016784668,44.5400009155273
+Vietnam,VNM,"Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)",SL.EMP.1524.SP.ZS,62.3050003051758,60.382999420166,57.4360008239746,53.5639991760254,57.4360008239746,56.2620010375977,54.476001739502,53.7200012207031,53.568000793457,53.3720016479492,53.2080001831055,55.2589988708496,57.3819999694824,56.6199989318848,55.1969985961914,53.8050003051758,55.6129989624023,55.5929985046387,55.6160011291504,53.1889991760254,52.734001159668,52.9690017700195,50.9070014953613,49.6080017089844,49.6160011291504
+Vietnam,VNM,"Employment to population ratio, ages 15-24, total (%) (national estimate)",SL.EMP.1524.SP.NE.ZS,..,..,..,..,..,..,..,53.5499992370605,..,..,52.4300003051758,..,56.7400016784668,56.060001373291,54.4099998474121,52.8600006103516,54.6500015258789,54.5900001525879,54.9799995422363,52.5499992370605,52.3499984741211,52.5,54.0200004577637,49.25,42.4799995422363
+Vietnam,VNM,Exports of goods and services (annual % growth),NE.EXP.GNFS.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Exports of goods and services (constant 2015 US$),NE.EXP.GNFS.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,External health expenditure (% of current health expenditure),SH.XPD.EHEX.CH.ZS,..,..,..,4.24706507,3.92210269,4.69086123,4.8854022,5.50130939,4.00909662,4.00868273,3.59759212,2.20431662,2.45537496,2.24441743,2.35883379,2.42122793,2.23614025,3.19134188,2.16096139,2.29792619,1.08494616,1.01668346,0.97050571,..,..
+Vietnam,VNM,External health expenditure per capita (current US$),SH.XPD.EHEX.PC.CD,..,..,..,0.80340642,0.90945037,0.92203293,1.09292419,1.58130656,1.40468477,1.69540496,1.78111402,1.30429115,1.58216323,1.76491001,2.11316423,2.63768493,2.67267802,3.74710137,2.54697145,2.85079388,1.52071842,1.65872883,1.75388049,..,..
+Vietnam,VNM,"External health expenditure per capita, PPP (current international $)",SH.XPD.EHEX.PP.CD,..,..,..,4.09288255,4.79527705,4.89444577,5.60016725,7.79061877,6.04929481,6.98765966,6.92360593,4.26496029,5.13762619,5.64241612,6.26729828,7.6653087,7.59146289,10.60340589,7.4544302,8.54776839,4.60000611,5.02232967,5.42389473,..,..
+Vietnam,VNM,Female share of employment in senior and middle management (%),SL.EMP.SMGT.FE.ZS,..,..,..,..,..,..,..,..,..,..,16.2999992370605,..,..,..,..,..,..,..,..,..,..,..,..,..,20.1000003814697
+Vietnam,VNM,Final consumption expenditure (annual % growth),NE.CON.TOTL.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Final consumption expenditure (constant 2015 US$),NE.CON.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,GDP (constant 2015 US$),NY.GDP.MKTP.KD,79042755277.69421,83599139703.15303,87589817268.2927,93534815307.67822,99327326629.08156,105605629137.18712,112891428542.21062,121399390142.70738,130561702856.11649,139672239482.9771,149630178059.7694,158101896399.67126,166636074780.50104,177339506819.39932,188706969206.52283,199085852512.88156,210135117327.34973,223625791859.75934,239257234710.75732,255263543712.9125,272978833646.58673,292633309669.1421,313556591310.4859,322775155095.00836,331131560170.1764
+Vietnam,VNM,GDP growth (annual %),NY.GDP.MKTP.KD.ZG,8.152084143301636,5.7644554639463905,4.773586880570676,6.7873164082254505,6.192893311810323,6.320820987713333,6.899063491737607,7.536410611825687,7.547247727223862,6.977954811833882,7.129504483964368,5.661771208023183,5.397897542769471,6.423238217173093,6.410000000000011,5.5,5.550000000001631,6.419999999997032,6.990000000000364,6.6900000000023,6.939999999999259,7.200000000000429,7.1500000000000625,2.9399999999981503,2.5889245015491724
+Vietnam,VNM,GDP per capita (constant 2015 US$),NY.GDP.PCAP.KD,1024.756434072708,1070.1962199762454,1108.228658203725,1170.4959859069957,1230.1740301462248,1295.2277979088622,1371.6788003911297,1461.537082466553,1557.4085295790378,1650.6297775830901,1751.7080281371693,1833.2052354469515,1913.3283935195273,2015.9626492191853,2123.371559134522,2216.9441278228437,2315.47232294894,2438.29903400369,2581.6224415736065,2725.9969874436456,2885.591735846729,3062.749201869878,3250.567479931974,3316.004251828983,3373.0825104389946
+Vietnam,VNM,GDP per capita growth (annual %),NY.GDP.PCAP.KD.ZG,6.659536763526063,4.434203523167454,3.5537817754882184,5.6186354000442975,5.098526176745992,5.288175995302453,5.902514029246191,6.550971120192344,6.559631518256651,5.985664405552569,6.12361729606512,4.6524424162426925,4.3706594615436245,5.364173554695697,5.327921623792875,4.406792032500519,4.4443246850273965,5.3046071783021915,5.878007806720049,5.592395833917394,5.854546029881959,6.139380835562491,6.132342731407107,2.013087631651885,1.7212963034811963
+Vietnam,VNM,"GDP per capita, PPP (constant 2017 international $)",NY.GDP.PCAP.PP.KD,3194.8720361594883,3336.5391645475647,3455.112485309283,3649.2426585202206,3835.3002507178558,4038.1176779240927,4276.468140381033,4556.618333221621,4855.515705574287,5146.150580868863,5461.281147920504,5715.364108516623,5965.163210687174,6285.144918129291,6620.0125133090205,6911.742697296059,7218.922984157567,7601.858490971296,8048.6963265264,8498.811284575726,8996.378103224013,9548.70001638809,10134.259027786931,10338.270542834875,10516.222811532576
+Vietnam,VNM,"GDP per capita, PPP (current international $)",NY.GDP.PCAP.PP.CD,2106.809038612602,2224.993547684418,2336.534601075478,2523.725508328889,2712.155584379781,2900.0842422622154,3131.8765297715418,3426.6247572408065,3765.900154500675,4114.46961237354,4484.427753507313,4783.072978692322,5024.122070621181,5357.243036390215,5759.911338058719,6329.555554199924,6688.774305485697,7202.924214749318,7555.845810877604,8232.25409438726,8996.378103224013,9776.819499921392,10561.97127588917,10904.452145544894,11553.069924366397
+Vietnam,VNM,GDP per person employed (constant 2017 PPP $),SL.GDP.PCAP.EM.KD,6724.784829718157,6947.170083142797,7122.128648747991,7546.906068671305,7775.713256277521,8086.442983837558,8537.859739384776,9056.258423466343,9395.184158426073,9727.902617758637,10075.823818492088,10318.51063299028,10550.687360861708,10925.397630757969,11434.231475226597,11924.59195286178,12342.601000669738,12982.029412077805,13800.484343615422,14695.410597873346,15659.288896491245,16630.91410155958,17852.298690633663,18447.53694388192,18792.415605649934
+Vietnam,VNM,"GDP, PPP (constant 2017 international $)",NY.GDP.MKTP.PP.KD,246430742077.9615,260636132454.5182,273077824679.39386,291612480681.0835,309671730493.5865,329245526227.6402,351960384125.79065,378485563864.4692,407050806981.1007,435454628353.4471,466500385607.5365,492912570125.1811,519519485635.97003,552889459783.0007,588329674155.0911,620687806233.6211,655135979479.5972,697195709362.1678,745929689446.5859,795832385670.5797,851063153236.112,912339700269.1157,977571988838.358,1006312605310.1875,1032365278911.2407
+Vietnam,VNM,"GDP, PPP (current international $)",NY.GDP.MKTP.PP.CD,162504948218.82202,173806955172.77426,184670047317.63794,201671942621.74545,218986222271.78445,236456646042.80984,257758605996.47202,284625111991.61206,315705434778.00287,348156317576.15063,383057971120.3603,412508590924.3049,437562095405.05756,471264107176.3269,511891292330.5702,568406279491.1505,607023612214.6012,660607910992.8867,700253741794.0602,770871854428.954,851063153236.112,934135595089.8898,1018830013907.7188,1061423920238.6497,1134151345830.1677
+Vietnam,VNM,General government final consumption expenditure (annual % growth),NE.CON.GOVT.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,General government final consumption expenditure (constant 2015 US$),NE.CON.GOVT.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Gini index,SI.POV.GINI,35.4,..,..,..,..,37,..,36.8,..,35.8,..,35.6,..,39.3,..,35.6,..,34.8,..,35.3,..,35.7,..,..,..
+Vietnam,VNM,GNI (constant 2015 US$),NY.GNP.MKTP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,227117625051.7483,..,..,..,..,..,..
+Vietnam,VNM,GNI growth (annual %),NY.GNP.MKTP.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,GNI per capita (constant 2015 US$),NY.GNP.PCAP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2450.6341821567958,..,..,..,..,..,..
+Vietnam,VNM,GNI per capita growth (annual %),NY.GNP.PCAP.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"GNI per capita, Atlas method (current US$)",NY.GNP.PCAP.CD,330,340,350,380,400,420,460,530,630,720,840,980,1110,1360,1610,1970,2190,2380,2460,2570,2700,3030,3280,3390,3560
+Vietnam,VNM,"GNI per capita, PPP (constant 2017 international $)",NY.GNP.PCAP.PP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,8452.92762659652,..,..,..,..
+Vietnam,VNM,"GNI per capita, PPP (current international $)",NY.GNP.PCAP.PP.CD,2080,2190,2300,2500,2680,2860,3090,3380,3710,4040,4390,4670,4850,5200,5560,6130,6460,6930,7170,7780,8450,9280,10020,10410,11040
+Vietnam,VNM,"GNI, Atlas method (current US$)",NY.GNP.ATLS.CD,25824451835.992306,26759132282.297726,27962757382.14431,30203568807.801342,32186355227.626743,34037168505.051006,38120159465.099655,44415418929.92248,52884327653.60776,61119346852.98477,71581154220.60484,84934003165.45354,96710386688.10202,119609653004.27972,143347738257.03696,176756624830.77814,198876403902.1552,218736555384.62076,228402526065.42444,240488084750.5525,255478639060.5367,289797229428.3562,316877790597.8615,329909670241.7276,349343920489.7716
+Vietnam,VNM,"GNI, PPP (constant 2017 international $)",NY.GNP.MKTP.PP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,799652388708.4948,..,..,..,..
+Vietnam,VNM,"GNI, PPP (current international $)",NY.GNP.MKTP.PP.CD,160455108868.82788,170704940454.92365,182033864597.0576,199396494294.43692,216678469549.7092,233430455681.3067,254530378027.60434,280425434801.16693,311140869479.81635,342264477678.0185,374597682837.04926,402842107077.82166,422717893590.6781,457125151920.5075,494567476171.5819,550239826157.7155,586182065656.6821,635585897754.9548,664723752082.7053,728469391535.0537,799652388708.4948,886259355168.4095,967029632928.5355,1013136799979.7418,1084230081276.1854
+Vietnam,VNM,Gross capital formation (annual % growth),NE.GDI.TOTL.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Gross capital formation (constant 2015 US$),NE.GDI.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Gross fixed capital formation (annual % growth),NE.GDI.FTOT.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Gross fixed capital formation (constant 2015 US$),NE.GDI.FTOT.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Gross national expenditure (constant 2015 US$),NE.DAB.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Gross value added at basic prices (GVA) (constant 2015 US$),NY.GDP.FCST.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Hospital beds (per 1,000 people)",SH.MED.BEDS.ZS,1.6699999571,..,..,2.34,2.4000000954,1.4,..,2.8,2.34,2.66,..,2.9,3.1,2.91,..,2.5,3.18,2.6,..,..,..,..,..,..,..
+Vietnam,VNM,Households and NPISHs Final consumption expenditure (annual % growth),NE.CON.PRVT.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Households and NPISHs Final consumption expenditure (constant 2015 US$),NE.CON.PRVT.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Households and NPISHs Final consumption expenditure per capita (constant 2015 US$),NE.CON.PRVT.PC.KD,590.1373667464828,608.7337333361097,617.2652550533218,629.2899379309687,650.6538360019798,693.4834371404016,742.0533182350437,787.414161767874,836.8139784049055,890.9471850222609,968.8947394586129,1033.2285278376748,1046.2005068051856,1120.5813634019078,1154.6289956594862,1198.417792461926,1247.2918618837139,1309.753263525246,1417.0701774433483,1504.8736007023901,1599.0845857719482,1698.2082803181106,1805.8806620156204,1799.999310551725,..
+Vietnam,VNM,Households and NPISHs Final consumption expenditure per capita growth (annual %),NE.CON.PRVT.PC.KD.ZG,4.4495191232407905,3.1511928641549076,1.401519457523051,1.948057626637052,3.394921288786719,6.582548010720018,7.003755027650158,6.112881974669975,6.273676425392296,6.468965387091345,8.748841204813317,6.63991512793325,1.255480139970416,7.109617717913494,3.0383900151806245,3.792456015486522,4.078216272255531,5.00776149915707,8.193674099292195,6.196123851639811,6.26039190438226,6.198777439800722,6.340351943010219,-0.3256777475722572,..
+Vietnam,VNM,"Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $)",NE.CON.PRVT.PP.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Households and NPISHs Final consumption expenditure, PPP (current international $)",NE.CON.PRVT.PP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Imports of goods and services (annual % growth),NE.IMP.GNFS.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Imports of goods and services (constant 2015 US$),NE.IMP.GNFS.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Income share held by fourth 20%,SI.DST.04TH.20,21,..,..,..,..,21.1,..,21.8,..,22.3,..,21.8,..,21.4,..,22.2,..,22.4,..,22.4,..,22.3,..,..,..
+Vietnam,VNM,Income share held by highest 10%,SI.DST.10TH.10,29.1,..,..,..,..,29.8,..,28.8,..,27.7,..,28,..,30.9,..,27.7,..,26.8,..,27.1,..,27.5,..,..,..
+Vietnam,VNM,Income share held by highest 20%,SI.DST.05TH.20,44.2,..,..,..,..,45.4,..,44.5,..,43.3,..,43.5,..,46.3,..,43,..,42.2,..,42.5,..,42.9,..,..,..
+Vietnam,VNM,Income share held by lowest 10%,SI.DST.FRST.10,3.3,..,..,..,..,3.2,..,2.9,..,2.9,..,3,..,2.5,..,2.8,..,2.7,..,2.6,..,2.5,..,..,..
+Vietnam,VNM,Income share held by lowest 20%,SI.DST.FRST.20,8,..,..,..,..,7.5,..,7.2,..,7.2,..,7.4,..,6.5,..,7.1,..,7.1,..,6.9,..,6.7,..,..,..
+Vietnam,VNM,Income share held by second 20%,SI.DST.02ND.20,11.7,..,..,..,..,11.2,..,11.3,..,11.5,..,11.6,..,10.8,..,11.6,..,12,..,11.9,..,11.9,..,..,..
+Vietnam,VNM,Income share held by third 20%,SI.DST.03RD.20,15.2,..,..,..,..,14.8,..,15.3,..,15.8,..,15.7,..,15,..,16.1,..,16.4,..,16.3,..,16.3,..,..,..
+Vietnam,VNM,"Industry (including construction), value added (annual % growth)",NV.IND.TOTL.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Industry (including construction), value added (constant 2015 US$)",NV.IND.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Industry (including construction), value added per worker (constant 2015 US$)",NV.IND.EMPL.KD,4229.316083035133,4863.778540053114,4938.03430733128,5119.15640927316,4876.427314017197,4807.596402124056,4624.843052161006,4710.726405345075,4633.55017082853,4529.956001997673,4724.05891124709,4673.255607783518,4669.807675740685,4126.950448494001,4441.604217467813,4716.3246299552975,4853.051178108873,5030.369944804254,5177.126382512189,5091.2962055097005,5225.452944222844,5411.286600026288,5744.824180426878,..,..
+Vietnam,VNM,International migrant stock (% of population),SM.POP.TOTL.ZS,..,..,..,0.070690168791617,..,..,..,..,0.0614793982557822,..,..,..,..,0.0698931135375467,..,..,..,..,0.07789713082094,..,..,..,..,..,..
+Vietnam,VNM,"International migrant stock, total",SM.POP.TOTL,..,..,..,56754,..,..,..,..,51768,..,..,..,..,61756,..,..,..,..,72793,..,..,..,..,..,..
+Vietnam,VNM,"Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.FE.ZS,67.052001953125,64.3779983520508,61.814998626709,57.3450012207031,62.2050018310547,59.5200004577637,57.2050018310547,55.6629981994629,55.576000213623,55.484001159668,55.3889999389648,56.6440010070801,57.8819999694824,55.7550010681152,52.9109992980957,52.101001739502,54.4659996032715,54.8919982910156,55.5,53.5849990844727,53.0950012207031,51.8759994506836,50.806999206543,49.798999786377,49.9589996337891
+Vietnam,VNM,"Labor force participation rate for ages 15-24, female (%) (national estimate)",SL.TLF.ACTI.1524.FE.NE.ZS,66.9000015258789,64.1999969482422,61.7000007629395,57.2000007629395,62,59.2000007629395,56.9000015258789,55.4000015258789,..,..,54.8199996948242,..,57.4900016784668,55.3899993896484,52.2700004577637,51.2400016784668,53.6399993896484,54.1399993896484,55.060001373291,53.189998626709,52.8499984741211,51.7000007629395,54.2099990844727,49.9799995422363,43.3199996948242
+Vietnam,VNM,"Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.MA.ZS,65.8190002441406,62.5620002746582,59.0099983215332,55.4309997558594,59.7360000610352,58.2910003662109,57.193000793457,56.8860015869141,57.1370010375977,57.3720016479492,57.5989990234375,59.859001159668,62.0610008239746,61.3120002746582,60.9099998474121,59.3479995727539,61.8479995727539,61.5610008239746,62.9959983825684,60.314998626709,60.1629981994629,58.9119987487793,58.1479988098145,56.9980010986328,56.7929992675781
+Vietnam,VNM,"Labor force participation rate for ages 15-24, male (%) (national estimate)",SL.TLF.ACTI.1524.MA.NE.ZS,65.5,62.2999992370605,58.7999992370605,55.2999992370605,59.5999984741211,58.0999984741211,57.0999984741211,56.8300018310547,..,..,56.9599990844727,..,61.4500007629395,60.7999992370605,60.2200012207031,58.5299987792969,61.0800018310547,60.7999992370605,62.5499992370605,59.8800010681152,59.9099998474121,58.5499992370605,60.25,55.5,47.9000015258789
+Vietnam,VNM,"Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate)",SL.TLF.ACTI.1524.ZS,66.4250030517578,63.4539985656738,60.3880004882813,56.3699989318848,60.9469985961914,58.8930015563965,57.1990013122559,56.2869987487793,56.3730010986328,56.4490013122559,56.5190010070801,58.2879981994629,60.0200004577637,58.601001739502,57.0069999694824,55.8129997253418,58.2480010986328,58.310001373291,59.3450012207031,57.0390014648438,56.7239990234375,55.4910011291504,54.5830001831055,53.5089988708496,53.4869995117188
+Vietnam,VNM,"Labor force participation rate for ages 15-24, total (%) (national estimate)",SL.TLF.ACTI.1524.NE.ZS,66.1999969482422,63.2000007629395,60.2000007629395,56.2000007629395,60.7999992370605,58.7000007629395,57,56.1399993896484,..,..,55.9199981689453,..,59.4900016784668,58.1300010681152,56.3400001525879,55.0400009155273,57.5200004577637,57.5800018310547,58.9099998474121,56.6100006103516,56.4700012207031,55.1399993896484,57.3400001525879,52.8300018310547,45.6800003051758
+Vietnam,VNM,"Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.FE.ZS,70.7070007324219,70.2020034790039,70.3379974365234,68.7470016479492,69.4960021972656,68.9899978637695,68.4410018920898,67.5599975585938,68.5469970703125,69.5179977416992,70.4729995727539,70.9589996337891,71.4459991455078,71.5230026245117,71.5199966430664,71.7119979858398,72.6009979248047,72.6360015869141,72.4329986572266,71.9000015258789,71.4100036621094,70.4150009155273,70.3320007324219,69.6640014648438,69.6370010375977
+Vietnam,VNM,"Labor force participation rate, female (% of female population ages 15+) (national estimate)",SL.TLF.CACT.FE.NE.ZS,70.8000030517578,70.3000030517578,70.4000015258789,68.8000030517578,69.5999984741211,69,68.5,67.5999984741211,..,..,70.5299987792969,..,71.4899978637695,71.5699996948242,71.5699996948242,71.75,72.6500015258789,72.6999969482422,72.4899978637695,71.9499969482422,71.4400024414063,70.4499969482422,70.4700012207031,67.8600006103516,68.1999969482422
+Vietnam,VNM,"Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.FE.ZS,78.87,78.84,78.82,78.7,78.6,78.47,78.3,78.1,77.87,77.67,77.45,77.29,77.18,76.92,77.04,77.57,78.53,78.84,78.56,78.44,78.92,79.71,79.63,..,..
+Vietnam,VNM,"Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.MA.ZS,78.0970001220703,77.3919982910156,76.8330001831055,76.0410003662109,76.6849975585938,76.1880035400391,75.7350006103516,75.4459991455078,76.4580001831055,77.4420013427734,78.3960037231445,79.4079971313477,80.3899993896484,80.9970016479492,81.2030029296875,80.8379974365234,81.6050033569336,81.6080017089844,82.1449966430664,81.3929977416992,81.0260009765625,81,80.7979965209961,80.0289993286133,79.4369964599609
+Vietnam,VNM,"Labor force participation rate, male (% of male population ages 15+) (national estimate)",SL.TLF.CACT.MA.NE.ZS,78.1999969482422,77.5,76.9000015258789,76.0999984741211,76.8000030517578,76.1999969482422,75.8000030517578,75.4899978637695,..,..,78.4599990844727,..,80.4400024414063,81.0500030517578,81.2600021362305,80.879997253418,81.6600036621094,81.6800003051758,82.2099990844727,81.4499969482422,81.0599975585938,81.0400009155273,81.0199966430664,78.9300003051758,77.8000030517578
+Vietnam,VNM,"Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.MA.ZS,85.32,85.28,85.25,85.14,85.05,84.95,84.82,84.65,84.47,84.32,84.16,84.06,84.01,84.73,84.99,84.97,85.97,86.12,86.26,85.86,86.38,86.69,86.52,..,..
+Vietnam,VNM,"Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)",SL.TLF.CACT.ZS,74.3000030517578,73.6999969482422,73.5,72.3000030517578,73,72.5,72,71.4100036621094,72.4120025634766,73.3919982910156,74.3499984741211,75.0970001220703,75.8300018310547,76.1699981689453,76.2699966430664,76.1900024414063,77.0199966430664,77.0400009155273,77.1999969482422,76.5599975585938,76.129997253418,75.6100006103516,75.4680023193359,74.7509994506836,74.4469985961914
+Vietnam,VNM,"Labor force participation rate, total (% of total population ages 15+) (national estimate)",SL.TLF.CACT.NE.ZS,74.3000030517578,73.6999969482422,73.5,72.3000030517578,73,72.5,72,71.4100036621094,..,..,74.3499984741211,..,75.8300018310547,76.1699981689453,76.2699966430664,76.1900024414063,77.0199966430664,77.0400009155273,77.1999969482422,76.5599975585938,76.129997253418,75.6100006103516,75.629997253418,73.2799987792969,72.9000015258789
+Vietnam,VNM,"Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)",SL.TLF.ACTI.ZS,82.07,82.03,82.02,81.9,81.81,81.7,81.55,81.36,81.16,80.99,80.8,80.67,80.6,80.83,81.02,81.28,82.26,82.49,82.42,82.16,82.66,83.21,83.09,..,..
+Vietnam,VNM,Labor force with advanced education (% of total working-age population with advanced education),SL.TLF.ADVN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,86.6699981689453,86.75,87.120002746582,87.2699966430664,87.7799987792969,87.7399978637695,87.5299987792969,87.6399993896484,87.6500015258789,87.7200012207031,88.120002746582,85.2799987792969
+Vietnam,VNM,"Labor force with advanced education, female (% of female working-age population with advanced education)",SL.TLF.ADVN.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,86.7099990844727,86.3499984741211,87.9599990844727,87.5899963378906,87.8099975585938,87.5599975585938,87.3899993896484,87.7799987792969,87.629997253418,88.1600036621094,88.9700012207031,84.8499984741211
+Vietnam,VNM,"Labor force with advanced education, male (% of male working-age population with advanced education)",SL.TLF.ADVN.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,86.6399993896484,87.0899963378906,86.3600006103516,86.9599990844727,87.7600021362305,87.9300003051758,87.6800003051758,87.5,87.6699981689453,87.2799987792969,87.2399978637695,85.7300033569336
+Vietnam,VNM,Labor force with basic education (% of total working-age population with basic education),SL.TLF.BASC.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,78.7200012207031,79.3000030517578,78.4100036621094,79.5899963378906,79.6900024414063,79.9000015258789,78.9400024414063,77.8600006103516,77.7699966430664,76.7099990844727,74.1399993896484,72.5
+Vietnam,VNM,"Labor force with basic education, female (% of female working-age population with basic education)",SL.TLF.BASC.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,75.4000015258789,76.0199966430664,75.5800018310547,76.629997253418,76.6600036621094,76.0599975585938,75.0500030517578,73.7900009155273,73.4300003051758,72.5299987792969,69.5500030517578,68.7099990844727
+Vietnam,VNM,"Labor force with basic education, male (% of male working-age population with basic education)",SL.TLF.BASC.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,82.1399993896484,82.6600036621094,81.3399963378906,82.6800003051758,82.8600006103516,83.75,82.8499984741211,81.8899993896484,82.0699996948242,81.0899963378906,79.0100021362305,76.5500030517578
+Vietnam,VNM,Labor force with intermediate education (% of total working-age population with intermediate education),SL.TLF.INTM.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,73.2200012207031,72.6800003051758,74.8499984741211,75.5100021362305,75.7300033569336,75.0199966430664,75.4499969482422,75.6500015258789,75.7799987792969,78.4300003051758,75.1699981689453,73.6699981689453
+Vietnam,VNM,"Labor force with intermediate education, female (% of female working-age population with intermediate education)",SL.TLF.INTM.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,68.3199996948242,66.7200012207031,69.1600036621094,69.6999969482422,70.25,69.9100036621094,70.4000015258789,70.5800018310547,70.6500015258789,72.5,68.75,68.3199996948242
+Vietnam,VNM,"Labor force with intermediate education, male (% of male working-age population with intermediate education)",SL.TLF.INTM.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,77.3099975585938,77.5999984741211,79.370002746582,80.0599975585938,80.2200012207031,79.6800003051758,80.0400009155273,80.2099990844727,80.25,83.4899978637695,80.1900024414063,77.9100036621094
+Vietnam,VNM,"Labor force, female (% of total labor force)",SL.TLF.TOTL.FE.ZS,48.89548215319295,48.91241448295097,49.111058732749264,48.76895333734023,48.800597128552944,48.75567499510128,48.67947310811621,48.421654462481065,48.41570259792938,48.40895269261201,48.401644127896404,48.210944465898706,48.036955298652806,47.845076881357684,47.76889947928453,47.93709331883659,48.000452802101556,48.007113560375686,47.77323141143883,47.81480078823168,47.75966604804855,47.422655968111755,47.45714386048635,47.45288468042176,47.6261956010579
+Vietnam,VNM,"Labor force, total",SL.TLF.TOTL.IN,37727729,38396291,39257093,39533473,40956005,41597613,42172371,42706523,44252550,45717151,47258124,48708270,50112002,51173589,51973297,52592951,53789503,54390204,55069620,55175656,55384734,55501826,55898817,55885220,56151046
+Vietnam,VNM,"Manufacturing, value added (annual % growth)",NV.IND.MANF.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Manufacturing, value added (constant 2015 US$)",NV.IND.MANF.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Multidimensional poverty headcount ratio (% of total population),SI.POV.MDIM,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Multidimensional poverty headcount ratio, children (% of population ages 0-17)",SI.POV.MDIM.17,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Multidimensional poverty headcount ratio, female (% of female population)",SI.POV.MDIM.FE,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Multidimensional poverty headcount ratio, household (% of total households)",SI.POV.MDIM.HH,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,9.2,7.9,6.8,5.7,..,..
+Vietnam,VNM,"Multidimensional poverty headcount ratio, male (% of male population)",SI.POV.MDIM.MA,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Multidimensional poverty index (scale 0-1),SI.POV.MDIM.XQ,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Multidimensional poverty index, children (population ages 0-17) (scale 0-1)",SI.POV.MDIM.17.XQ,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Multidimensional poverty intensity (average share of deprivations experienced by the poor),SI.POV.MDIM.IT,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Australia (current US$)",DC.DAC.AUSL.CD,41340000.1525879,40759998.3215332,40159999.8474121,35720001.220703095,38880001.0681152,35069999.6948242,40000000,48349998.4741211,50849998.4741211,48450000.762939505,63110000.6103516,78370002.746582,64120002.746582,119830001.831055,137259994.506836,144500000,147169998.168945,125800003.05175799,103879997.253418,54180000.3051758,39090000.1525879,48659999.8474121,48709999.0844727,43459999.0844727,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Austria (current US$)",DC.DAC.AUTL.CD,1649999.97615814,1340000.0333786,1549999.95231628,1519999.98092651,1750000,1580000.04291534,1570000.05245209,1629999.99523163,1470000.02861023,2279999.97138977,6389999.8664856,9050000.19073486,4659999.84741211,2990000.00953674,7309999.94277954,5900000.09536743,4150000.09536743,5079999.92370605,5530000.20980835,2920000.07629395,5030000.20980835,3900000.09536743,4260000.228881841,3400000.09536743,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Belgium (current US$)",DC.DAC.BELL.CD,7730000.01907349,9699999.80926514,13970000.2670288,38040000.9155273,9369999.88555908,11560000.4196167,11699999.8092651,14390000.3433228,16299999.2370605,19760000.2288818,19479999.5422363,27770000.4577637,24219999.3133545,22239999.7711182,22979999.5422363,25360000.6103516,29819999.6948242,23510000.2288818,14140000.3433228,15050000.1907349,13079999.923706101,29809999.4659424,15640000.3433228,6099999.90463257,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Canada (current US$)",DC.DAC.CANL.CD,15789999.961853001,9159999.84741211,11329999.923706101,14560000.4196167,11760000.2288818,20000000,23229999.5422363,25290000.915527303,28379999.1607666,34360000.6103516,28930000.3051758,37590000.1525879,35319999.6948242,25000000,32650001.5258789,27850000.3814697,22120000.8392334,16250000,19940000.5340576,19610000.6103516,14770000.4577637,14319999.6948242,13930000.3051758,11319999.6948242,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Czech Republic (current US$)",DC.DAC.CZEL.CD,..,..,..,..,..,..,..,..,1419999.95708466,1909999.9666214,3039999.96185303,3930000.0667572,3549999.95231628,2359999.89509583,1659999.9666214,1450000.04768372,1480000.01907349,439999.997615814,70000.0002980232,79999.9982118607,59999.9986588955,59999.9986588955,59999.9986588955,209999.993443489,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Denmark (current US$)",DC.DAC.DNKL.CD,34310001.373291,40909999.8474121,39369998.9318848,41029998.779296905,60240001.6784668,48389999.3896484,69800003.0517578,59400001.5258789,72459999.0844727,71029998.7792969,82540000.9155273,80339996.3378906,67580001.8310547,69040000.9155273,62119998.9318848,61330001.8310547,40819999.6948242,35459999.0844727,13119999.8855591,11699999.8092651,6230000.01907349,8260000.22888184,-200000.00298023198,879999.995231628,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, European Union institutions (current US$)",DC.DAC.CECL.CD,23590000.1525879,22069999.6948242,16530000.6866455,12109999.6566772,21260000.2288818,18000000,30010000.2288818,27930000.3051758,42409999.8474121,41810001.373291,67709999.0844727,68000000,51919998.1689453,41919998.1689453,147449996.94824198,33979999.5422363,55270000.4577637,38509998.3215332,58549999.237060495,26180000.3051758,72730003.3569336,79269996.6430664,33880001.0681152,86040000.9155273,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Finland (current US$)",DC.DAC.FINL.CD,8220000.26702881,8699999.80926514,7690000.05722046,5780000.20980835,5170000.07629395,7179999.82833862,8619999.88555908,12600000.3814697,19379999.1607666,18690000.5340576,26780000.6866455,28770000.4577637,26299999.237060502,25190000.5340576,23170000.0762939,12930000.3051758,24719999.3133545,19610000.6103516,12399999.6185303,12930000.3051758,13550000.1907349,9369999.88555908,6079999.92370605,4190000.05722046,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, France (current US$)",DC.DAC.FRAL.CD,63880001.0681152,66180000.305175796,79169998.1689453,52919998.1689453,61790000.9155273,77800003.0517578,99010002.1362305,106779998.77929701,96419998.1689453,159380004.882813,154460006.71386698,165589996.33789098,142910003.66210902,242419998.168945,220449996.94824198,135339996.33789098,177270004.272461,158479995.727539,84610000.6103516,41299999.237060495,41610000.6103516,7309999.94277954,118910003.662109,38599998.4741211,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Germany (current US$)",DC.DAC.DEUL.CD,40099998.4741211,54779998.779296905,66110000.61035161,33299999.2370605,37900001.5258789,41669998.1689453,61650001.5258789,74809997.55859381,82919998.1689453,86750000,97639999.3896484,114989997.86377,112480003.35693401,96379997.253418,123860000.61035201,98550003.0517578,144289993.28613302,131910003.662109,131220001.220703,181699996.94824198,114269996.64306599,130690002.441406,122360000.61035201,135940002.44140598,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Greece (current US$)",DC.DAC.GRCL.CD,39999.9991059303,..,..,..,..,..,..,9999.99977648258,9999.99977648258,..,330000.013113022,119999.997317791,270000.010728836,39999.9991059303,50000.0007450581,79999.9982118607,..,39999.9991059303,9999.99977648258,0,..,0,0,..,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Hungary (current US$)",DC.DAC.HUNL.CD,..,..,..,..,..,..,..,..,1059999.9427795399,310000.002384186,550000.011920929,289999.99165535,430000.00715255697,319999.99284744303,280000.001192093,319999.99284744303,740000.009536743,1370000.00476837,3539999.96185303,1759999.9904632599,1750000,2599999.90463257,6280000.20980835,5960000.03814697,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Iceland (current US$)",DC.DAC.ISLL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,59999.9986588955,90000.0035762787,9999.99977648258,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Ireland (current US$)",DC.DAC.IRLL.CD,569999.992847443,59999.9986588955,129999.995231628,239999.994635582,239999.994635582,90000.0035762787,90000.0035762787,239999.994635582,4320000.17166138,7659999.84741211,27299999.237060502,30829999.9237061,20479999.5422363,18309999.4659424,16469999.3133545,18549999.237060502,17139999.3896484,16799999.237060502,12560000.4196167,11430000.3051758,9680000.30517578,10729999.5422363,9319999.69482422,8590000.15258789,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Italy (current US$)",DC.DAC.ITAL.CD,1110000.01430511,879999.995231628,1129999.99523163,400000.00596046395,19999.9995529652,-2309999.94277954,-3130000.1144409203,-4280000.20980835,-3190000.05722046,-2640000.10490417,6070000.17166138,6440000.05722046,1179999.94754791,5690000.05722046,3980000.01907349,4449999.80926514,2420000.07629395,3130000.1144409203,3200000.04768372,1549999.95231628,2400000.09536743,2470000.02861023,4210000.03814697,5030000.20980835,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Japan (current US$)",DC.DAC.JPNL.CD,232490005.493164,388619995.11718804,679989990.234375,923679992.675781,459529998.779297,374739990.234375,484239990.234375,615330017.089844,602659973.144531,562729980.46875,640039978.027344,619039978.027344,1191359985.35156,807809997.558594,1031010009.76563,1646709960.9375,1306890014.64844,1523089965.82031,1074920043.94531,1166060058.59375,927960021.972656,203750000,148630004.882813,75180000.3051758,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)",DC.DAC.KORL.CD,6750000,11619999.8855591,7170000.07629395,16030000.6866455,38130001.0681152,22610000.6103516,12680000.3051758,31350000.3814697,15289999.961853001,10079999.923706101,24670000.0762939,53220001.220703095,57529998.779296905,96040000.9155273,139490005.493164,200320007.32421902,234559997.55859402,178839996.33789098,217160003.66210902,179830001.831055,182009994.506836,142979995.727539,81330001.8310547,102980003.35693401,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Luxembourg (current US$)",DC.DAC.LUXL.CD,2720000.02861023,4519999.98092651,2990000.00953674,5010000.228881841,4630000.11444092,5260000.228881841,10350000.3814697,10829999.923706101,11920000.076293899,11970000.2670288,14340000.1525879,17950000.762939498,12869999.8855591,12140000.3433228,8770000.45776367,11270000.4577637,12380000.1144409,12500000,11340000.1525879,7110000.1335144,5440000.05722046,4400000.09536743,3680000.0667572,2430000.0667572,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Netherlands (current US$)",DC.DAC.NLDL.CD,19129999.1607666,23190000.5340576,11710000.038146999,18840000.1525879,36229999.5422363,30069999.6948242,38759998.3215332,52319999.6948242,56099998.4741211,61049999.237060495,47740001.6784668,40610000.6103516,45439998.626709,21159999.8474121,18479999.5422363,7780000.20980835,620000.004768372,-709999.978542328,-490000.009536743,750000,180000.00715255702,219999.998807907,529999.971389771,270000.010728836,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, New Zealand (current US$)",DC.DAC.NZLL.CD,2740000.00953674,2259999.99046326,2019999.9809265102,2029999.97138977,1649999.97615814,1730000.01907349,1950000.04768372,4059999.94277954,3259999.99046326,2789999.96185303,6940000.05722046,7199999.80926514,5059999.94277954,6469999.79019165,6719999.79019165,8239999.77111816,9890000.34332275,7949999.80926514,4780000.20980835,6440000.05722046,7130000.11444092,7199999.80926514,5099999.90463257,4030000.2098083496,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Norway (current US$)",DC.DAC.NORL.CD,6480000.01907349,7909999.84741211,7130000.11444092,6170000.07629395,5690000.05722046,7940000.05722046,11529999.7329712,12050000.1907349,15449999.8092651,15210000.038146999,29979999.5422363,30940000.5340576,15899999.6185303,20180000.3051758,43119998.9318848,46439998.626709,18389999.3896484,19799999.237060502,9609999.65667725,10140000.3433228,10609999.6566772,4469999.79019165,5030000.20980835,4750000,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Poland (current US$)",DC.DAC.POLL.CD,..,..,..,..,..,..,..,..,810000.002384186,59999.9986588955,740000.009536743,860000.014305115,1080000.04291534,4380000.11444092,4500000,2339999.91416931,4300000.19073486,-150000.005960464,-189999.99761581398,-430000.00715255697,109999.999403954,2839999.91416931,479999.989271164,649999.976158142,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Portugal (current US$)",DC.DAC.PRTL.CD,..,..,..,..,..,..,..,..,9999.99977648258,9999.99977648258,..,..,9999.99977648258,..,29999.999329447703,19999.9995529652,29999.999329447703,29999.999329447703,39999.9991059303,29999.999329447703,29999.999329447703,29999.999329447703,29999.999329447703,39999.9991059303,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Slovak Republic (current US$)",DC.DAC.SVKL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,109999.999403954,..,19999.9995529652,29999.999329447703,50000.0007450581,19999.9995529652,39999.9991059303,39999.9991059303,39999.9991059303,19999.9995529652,9999.99977648258,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Slovenia (current US$)",DC.DAC.SVNL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Spain (current US$)",DC.DAC.ESPL.CD,4769999.98092651,10859999.6566772,2960000.03814697,4250000,6579999.92370605,7349999.90463257,7849999.90463257,6309999.94277954,9130000.11444092,18389999.3896484,31510000.2288818,49470001.220703095,32650001.5258789,15989999.7711182,10470000.2670288,3730000.01907349,-2109999.89509583,-1529999.97138977,-23639999.3896484,-4550000.19073486,-2880000.1144409203,-4059999.94277954,-4449999.80926514,-3670000.07629395,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Sweden (current US$)",DC.DAC.SWEL.CD,35669998.1689453,33680000.3051758,33119998.931884803,37319999.6948242,34919998.1689453,24399999.6185303,20909999.8474121,26819999.6948242,41930000.3051758,42779998.779296905,47029998.779296905,37599998.4741211,21829999.9237061,16559999.465942401,15659999.8474121,11189999.5803833,11140000.3433228,-300000.011920929,-850000.023841858,1389999.98569489,1450000.04768372,1570000.05245209,1690000.0572204601,1720000.02861023,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Switzerland (current US$)",DC.DAC.CHEL.CD,10430000.3051758,11449999.8092651,8939999.5803833,10670000.076293899,10800000.1907349,12399999.6185303,11250000,19700000.762939498,18239999.7711182,18290000.915527303,20030000.6866455,25020000.4577637,21750000,25799999.237060502,30569999.6948242,17290000.915527303,29920000.0762939,31809999.4659424,24790000.915527303,34349998.4741211,21709999.084472697,19090000.1525879,12229999.5422363,22389999.3896484,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, Total (current US$)",DC.DAC.TOTL.CD,615860004.9987434,746319992.1213096,1041369987.8156186,1274339991.9420476,878910004.2618811,786649989.5751476,1010389994.5914745,1244080013.6271868,1313769965.1308355,1360489986.9021032,1585079989.105463,1722499974.0347276,2132829991.3201456,1872629987.9178407,2231800003.038724,2689799969.606103,2435220012.36305,2466339958.453549,1879190046.8599026,1897750058.969483,1612940020.7269926,857249995.2595673,749260014.0254953,706790009.777993,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, United Kingdom (current US$)",DC.DAC.GBRL.CD,8350000.38146973,7280000.20980835,8350000.38146973,7929999.82833862,23700000.762939498,26469999.3133545,34590000.1525879,67669998.1689453,96620002.746582,82150001.5258789,97150001.5258789,125879997.253418,93790000.9155273,82199996.9482422,35000000,81879997.253418,36290000.9155273,25010000.2288818,18829999.9237061,12369999.8855591,8739999.77111816,13949999.8092651,14989999.7711182,10039999.961853001,..
+Vietnam,VNM,"Net bilateral aid flows from DAC donors, United States (current US$)",DC.DAC.USAL.CD,48000000,-9609999.65667725,-150000.005960464,6789999.96185303,8670000.07629395,14649999.6185303,33729999.5422363,30489999.7711182,28139999.3896484,45229999.5422363,40580001.8310547,62630001.0681152,78139999.3896484,92059997.55859381,88290000.9155273,81980003.3569336,105480003.35693401,93559997.55859381,80099998.4741211,103830001.831055,116160003.662109,113260002.13623,96440002.44140631,136240005.493164,..
+Vietnam,VNM,Net migration,SM.POP.NETM,-216001,..,..,..,..,-650999,..,..,..,..,-799969,..,..,..,..,-399999,..,..,..,..,-399999,..,..,..,..
+Vietnam,VNM,Net ODA provided to the least developed countries (% of GNI),DC.ODA.TLDC.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net ODA provided, to the least developed countries (current US$)",DC.ODA.TLDC.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net ODA provided, total (% of GNI)",DC.ODA.TOTL.GN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net ODA provided, total (constant 2020 US$)",DC.ODA.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net ODA provided, total (current US$)",DC.ODA.TOTL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Net ODA received (% of central government expense),DT.ODA.ODAT.XP.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Net ODA received (% of GNI),DT.ODA.ODAT.GN.ZS,3.2255523274488906,3.9508886092961397,4.402075086801714,4.833928288372628,3.894895108219333,3.0850585490844162,3.9409047883074297,3.7194026530946522,2.993323608133944,2.6023346731919865,3.118727651122156,2.4126532437416763,3.280523380599744,1.9399147896634747,1.998142949036578,2.1710797494674914,1.9795188278211295,1.876882826069079,1.3945372973641876,1.1960609013397152,0.9080733997209745,0.5604196633822564,0.34638820550363836,0.35641388851501393,..
+Vietnam,VNM,Net ODA received (% of gross capital formation),DT.ODA.ODAT.GI.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net ODA received (% of imports of goods, services and primary income)",DT.ODA.ODAT.MP.ZS,5.973008905176493,7.347272966291539,8.743846809101488,8.202739379970453,6.708433581857875,4.762239523607402,5.534492500383353,4.793263920885747,4.137787182180408,3.3933156727508322,3.3940360117762776,2.601993686804097,4.3406633920215985,3.0004767504624215,2.9067687932373136,3.3314558480290453,2.822128237290254,2.606127744647869,1.7287672974075259,1.4743848693306645,1.0039521638877968,0.6239487350216522,0.38905418672573044,0.408214547981493,..
+Vietnam,VNM,Net ODA received per capita (current US$),DT.ODA.ODAT.PC.ZS,11.045695727469187,13.450047465223001,15.686422169782883,18.58668978102553,15.55587230431619,13.051791214929683,18.63802173354058,19.96067566927123,20.200718193450065,19.9733988451915,27.47191771257583,26.906515327657097,38.212700088663226,31.487256394658694,37.49238337505805,45.77574427523971,45.0146912184854,45.96492369677535,34.17500769213234,31.032319348073298,25.37572665963539,17.17874834823271,11.26089842448809,11.996373123055427,..
+Vietnam,VNM,Net official aid received (constant 2020 US$),DT.ODA.OATL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Net official aid received (current US$),DT.ODA.OATL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Net official development assistance and official aid received (constant 2020 US$),DT.ODA.ALLD.KD,1102849975.58594,1368209960.9375,1444239990.23438,1702459960.9375,1739589965.82031,1446229980.46875,1838010009.76563,1799229980.46875,1813930053.71094,1812219970.70313,2374520019.53125,2202780029.29688,3151209960.9375,2606709960.9375,2915780029.29688,3610550048.82813,3854500000,4044879882.8125,3396469970.70313,3001159912.10938,2482149902.34375,1647770019.53125,1117229980.46875,..,..
+Vietnam,VNM,Net official development assistance and official aid received (current US$),DT.ODA.ALLD.CD,851989990.234375,1050660034.17969,1239790039.0625,1485270019.53125,1256020019.53125,1064170043.94531,1533939941.40625,1657989990.23438,1693479980.46875,1690099975.58594,2346639892.57813,2320510009.76563,3328030029.29688,2769860107.42188,3332000000,4110750000,4085199951.17188,4215620117.1875,3167239990.23438,2905879882.8125,2400560058.59375,1641359985.35156,1086250000,1167709960.9375,..
+Vietnam,VNM,Net official development assistance received (constant 2020 US$),DT.ODA.ODAT.KD,1117140014.64844,1390089965.82031,1477439941.40625,1746180053.71094,1765420043.94531,1468260009.76563,1869510009.76563,1834630004.88281,1851680053.71094,1849650024.41406,2414540039.0625,2235110107.42188,3213419921.875,2643989990.23438,2954010009.76563,3670250000,3918600097.65625,4130580078.125,3458330078.125,3061879882.8125,2520909912.10938,1650069946.28906,1114079956.05469,1167709960.9375,..
+Vietnam,VNM,Net official development assistance received (current US$),DT.ODA.ODAT.CD,851989990.234375,1050660034.17969,1239790039.0625,1485270019.53125,1256020019.53125,1064170043.94531,1533939941.40625,1657989990.23438,1693479980.46875,1690099975.58594,2346639892.57813,2320510009.76563,3328030029.29688,2769860107.42188,3332000000,4110750000,4085199951.17188,4215620117.1875,3167239990.23438,2905879882.8125,2400560058.59375,1641359985.35156,1086250000,1167709960.9375,..
+Vietnam,VNM,"Net official flows from UN agencies, FAO (current US$)",DT.NFL.FAOG.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,85577.9945850372,..,..,..,..,636119.12727356,224054.88789081603,..,..
+Vietnam,VNM,"Net official flows from UN agencies, IAEA (current US$)",DT.NFL.IAEA.CD,..,..,..,..,..,..,..,..,..,779999.971389771,639999.985694885,949999.988079071,899999.976158142,839999.973773956,649999.976158142,680000.007152557,589999.973773956,409999.99642372096,441242.36702919,476634.979248047,386720.77655792196,442176.014184952,429116.994142532,356949.44858550996,..
+Vietnam,VNM,"Net official flows from UN agencies, IFAD (current US$)",DT.NFL.IFAD.CD,3220000.02861023,4460000.03814697,6610000.1335144,7750000,9649999.61853027,9989999.77111816,5469999.79019165,5619999.88555908,7199999.80926514,6130000.11444092,10119999.8855591,10130000.1144409,14689999.5803833,15390000.3433228,23719999.3133545,19430000.3051758,20170000.0762939,22170000.0762939,27466159.820556603,18556812.286376998,14221543.3120728,10090957.6416016,1078007.4596405001,7662514.68658447,..
+Vietnam,VNM,"Net official flows from UN agencies, ILO (current US$)",DT.NFL.ILOG.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1102514.14775848,1152988.43383789,991429.98456955,1258870.0056076,926859.974861145,2012259.96017456,2657209.8731994596,4214540.00473022,2171129.22668457,..
+Vietnam,VNM,"Net official flows from UN agencies, UNAIDS (current US$)",DT.NFL.UNAI.CD,..,..,..,..,..,..,..,..,340000.00357627904,159999.99642372102,879999.995231628,540000.021457672,720000.028610229,699999.988079071,860000.014305115,911337.673664093,1003580.4510116599,803398.7879753109,683911.0255241389,681770.6823349,452300.012111664,176258.593797684,555456.459522247,..,..
+Vietnam,VNM,"Net official flows from UN agencies, UNDP (current US$)",DT.NFL.UNDP.CD,11430000.3051758,13970000.2670288,11880000.1144409,11619999.8855591,7420000.07629395,4139999.8664856004,460000.00834465,6400000.09536743,6500000,5409999.84741211,5699999.80926514,5619999.88555908,6610000.1335144,7489999.771118159,9319999.69482422,8875401.49688721,9471453.66668701,10473883.6288452,9155681.61010742,4635680.19866943,2779313.5643005404,2046652.07862854,1160295.00961304,1956413.1498336801,..
+Vietnam,VNM,"Net official flows from UN agencies, UNECE (current US$)",DT.NFL.UNEC.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net official flows from UN agencies, UNEP (current US$)",DT.NFL.UNEP.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net official flows from UN agencies, UNFPA (current US$)",DT.NFL.UNFP.CD,4820000.17166138,5489999.771118159,5300000.19073486,4199999.80926514,3900000.09536743,2869999.8855590797,5300000.19073486,5039999.96185303,5639999.8664856,3500000,4289999.96185303,3539999.96185303,3920000.07629395,3990000.00953674,4320000.17166138,2395418.88237,4710532.18841553,4539642.8108215295,3843837.0227813697,3143415.2126312302,1956916.33224487,2187939.88227844,2921725.5115509,3467570.06645203,..
+Vietnam,VNM,"Net official flows from UN agencies, UNHCR (current US$)",DT.NFL.UNCR.CD,..,..,..,109999.999403954,109999.999403954,189999.99761581398,59999.9986588955,..,170000.00178813902,39999.9991059303,109999.999403954,159999.99642372102,170000.00178813902,50000.0007450581,239999.994635582,603299.975395203,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net official flows from UN agencies, UNICEF (current US$)",DT.NFL.UNCF.CD,7250000,7230000.01907349,5949999.80926514,5369999.88555908,4409999.84741211,4010000.2288818406,4139999.8664856004,4420000.07629395,5139999.8664856,3940000.05722046,4300000.19073486,4079999.92370605,3650000.09536743,3670000.07629395,4269999.98092651,2736299.27635193,3775460.72006226,4007174.9687194796,4144909.38186646,5334541.32080078,4499000.07247925,4118604.1831970196,4091000.08010864,4578999.9961853,..
+Vietnam,VNM,"Net official flows from UN agencies, UNIDIR (current US$)",DT.NFL.UNID.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net official flows from UN agencies, UNPBF (current US$)",DT.NFL.UNPB.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net official flows from UN agencies, UNRWA (current US$)",DT.NFL.UNRW.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net official flows from UN agencies, UNTA (current US$)",DT.NFL.UNTA.CD,3660000.08583069,2000000,3839999.91416931,3349999.90463257,6000000,4090000.1525878897,4909999.84741211,4570000.17166138,5150000.09536743,2940000.05722046,5340000.15258789,1539999.96185303,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net official flows from UN agencies, UNWTO (current US$)",DT.NFL.UNWT.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net official flows from UN agencies, WFP (current US$)",DT.NFL.WFPG.CD,13850000.3814697,11399999.6185303,8810000.4196167,10140000.3433228,189999.99761581398,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Net official flows from UN agencies, WHO (current US$)",DT.NFL.WHOL.CD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3650000.09536743,1929064.86988068,3896158.69522095,1817125.43964386,4571768.2838439895,1926102.51903534,3734024.0478515597,1959312.08133698,4611040.5921936,1680894.73247528,..
+Vietnam,VNM,"Number of surgical procedures (per 100,000 population)",SH.SGR.PROC.P5,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Nurses and midwives (per 1,000 people)",SH.MED.NUMW.P3,..,..,..,..,0.7332,0.7581,..,..,0.831,0.8797,0.95,1.0207,1.1081,1.2327,..,1.4524,0.2867,1.4299,1.4228,1.4463,..,..,..,..,..
+Vietnam,VNM,Out-of-pocket expenditure (% of current health expenditure),SH.XPD.OOPC.CH.ZS,..,..,..,37.1917038,31.60926437,37.14353561,37.14429092,37.31027985,37.26836014,37.33816147,37.30263519,37.18603134,37.26034927,37.42028046,37.40775299,40.77892303,41.26946259,41.72227097,43.47938538,44.57281876,45.09383011,44.58095169,42.95318604,..,..
+Vietnam,VNM,Out-of-pocket expenditure per capita (current US$),SH.XPD.OOPC.PC.CD,..,..,..,7.03545931,7.32950155,7.30091167,8.30963143,10.72453632,13.05787872,15.79154713,18.46797639,22.00292402,24.00935067,29.4256472,33.51178537,44.42454912,49.32605595,48.98803775,51.24606161,55.29678001,63.20591037,72.73425056,77.62422217,..,..
+Vietnam,VNM,"Out-of-pocket expenditure per capita, PPP (current international $)",SH.XPD.OOPC.PP.CD,..,..,..,35.84152189,38.64640843,38.75557498,42.5787317,52.83654406,56.23393912,65.08530984,71.78933487,71.94835083,77.96355437,94.0737742,99.39045546,129.10104601,140.10551239,138.62449866,149.98605103,165.80085685,191.1909333,220.22610187,240.05376143,..,..
+Vietnam,VNM,"Part time employment, female (% of total female employment)",SL.TLF.PART.FE.ZS,..,..,..,..,..,..,..,..,..,..,11.460000038147,..,20.3199996948242,12.6199998855591,18.1499996185303,16.9899997711182,21.1700000762939,23.0300006866455,23.6100006103516,22.4099998474121,25.5900001525879,21.1800003051758,27.2600002288818,26.6399993896484,36.3699989318848
+Vietnam,VNM,"Part time employment, male (% of total male employment)",SL.TLF.PART.MA.ZS,..,..,..,..,..,..,..,..,..,..,8.8100004196167,..,16.6200008392334,9.34000015258789,13.5100002288818,13.3800001144409,16.2700004577637,18.0400009155273,18.1599998474121,16.3600006103516,19.5799999237061,15.4799995422363,20.1399993896484,20.3600006103516,27.5599994659424
+Vietnam,VNM,"Part time employment, total (% of total employment)",SL.TLF.PART.ZS,..,..,..,..,..,..,..,..,..,..,10.1099996566772,..,18.4200000762939,10.9300003051758,15.75,15.1300001144409,18.6499996185303,20.4699993133545,20.7999992370605,19.2900009155273,22.4799995422363,18.2099990844727,23.5300006866455,23.3199996948242,31.7800006866455
+Vietnam,VNM,"Physicians (per 1,000 people)",SH.MED.PHYS.ZS,0.569,0.48,0.515,..,0.5242,0.5514,..,..,0.6139,0.6239,0.6415,0.6648,0.6982,0.71,..,0.8209,..,0.783,0.7963,0.8281,..,..,..,..,..
+Vietnam,VNM,Poverty gap at $1.90 a day (2011 PPP) (%),SI.POV.GAPS,7.6,..,..,..,..,9.7,..,6.6,..,4.7,..,3.4,..,0.8,..,0.5,..,0.5,..,0.4,..,0.3,..,..,..
+Vietnam,VNM,Poverty gap at $3.20 a day (2011 PPP) (%),SI.POV.LMIC.GP,26,..,..,..,..,28.7,..,21.8,..,17.2,..,14.2,..,4.6,..,3.2,..,2.9,..,2.1,..,1.8,..,..,..
+Vietnam,VNM,Poverty gap at $5.50 a day (2011 PPP) (%),SI.POV.UMIC.GP,49,..,..,..,..,50.8,..,43.7,..,38.2,..,35.1,..,16.1,..,13.1,..,11.1,..,8.4,..,6.9,..,..,..
+Vietnam,VNM,Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population),SI.POV.DDAY,31.4,..,..,..,..,37,..,25.8,..,18.8,..,14.1,..,4,..,2.7,..,2.6,..,1.8,..,1.8,..,..,..
+Vietnam,VNM,Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population),SI.POV.LMIC,68.7,..,..,..,..,70.1,..,59.3,..,50.6,..,45.9,..,16.8,..,13,..,11,..,7.8,..,6.6,..,..,..
+Vietnam,VNM,Poverty headcount ratio at $5.50 a day (2011 PPP) (% of population),SI.POV.UMIC,89,..,..,..,..,89,..,84.2,..,79.9,..,77.8,..,46.8,..,40.8,..,35,..,27.2,..,22.4,..,..,..
+Vietnam,VNM,Poverty headcount ratio at national poverty lines (% of population),SI.POV.NAHC,..,..,..,..,..,..,..,..,..,..,..,..,..,20.7,..,17.2,..,13.5,..,9.8,..,6.7,..,..,..
+Vietnam,VNM,"PPP conversion factor, GDP (LCU per international $)",PA.NUS.PPP,2450.43593294975,2637.31824124567,2749.80939045232,2780.55094640786,2790.59361013724,2876.88445206556,3021.78163812317,3190.9595410069,3675.92506709593,3871.45618251292,4132.60149408487,4974.19752245209,5249.72652450144,5813.72516658665,6915.33544921875,7167.056640625,7369.89453125,7473.41943359375,7413.45556640625,7315.61279296875,7395.33837890625,7469.258249739,7474.84849880935,7505.10691167477,7405.19001362939
+Vietnam,VNM,"PPP conversion factor, private consumption (LCU per international $)",PA.NUS.PRVT.PP,3894.26181737513,4113.37552485273,4191.02660364799,3984.78539783311,3858.54032292867,3943.80439573429,3981.00010919683,4177.87302744474,4375.54091802107,4553.23449421524,4796.35258934715,5686.73166257162,6090.36250101198,6543.80927242237,7528.38525390625,7568.4833984375,7952.95654296875,8013.255859375,7789.197265625,7716.40380859375,7807.6123046875,7891.22304458505,7967.46060288707,8123.87245658452,7901.71116911634
+Vietnam,VNM,Price level ratio of PPP conversion factor (GDP) to market exchange rate,PA.NUS.PPPC.RF,0.20973834232600536,0.1987728550833336,0.1972150834105014,0.19625848654410405,0.18951185185137767,0.18828393940021335,0.1948331931086227,0.20265207297135146,0.231789165466512,0.2420529992036463,0.25660164041476674,0.30512337391783895,0.30762970401096373,0.3123489596118296,0.3371730737438901,0.3441068100933839,0.352063623290411,0.35338658187978766,0.3416721974205749,0.3335132220724035,0.3305905103580242,0.3304681765476583,0.32428503770567185,0.3233793438065515,0.31974350284399433
+Vietnam,VNM,Proportion of people living below 50 percent of median income (%),SI.DST.50MD,7.1,..,..,..,..,8,..,10.7,..,11.7,..,10.8,..,13.4,..,12.8,..,13,..,13.4,..,14,..,..,..
+Vietnam,VNM,Proportion of seats held by women in national parliaments (%),SG.GEN.PARL.ZS,26.2222222222222,26.2222222222222,26,26,26,27.3092369477912,27.3092369477912,27.3092369477912,27.3092369477912,27.3092369477912,25.7606490872211,25.7606490872211,25.7606490872211,25.7606490872211,24.4,24.4,24.4,24.2971887550201,24.2971887550201,26.7206477732794,26.7206477732794,26.7206477732794,26.7206477732794,26.7206477732794,30.2605210420842
+Vietnam,VNM,"Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)",SG.TIM.UWRK.FE,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)",SG.TIM.UWRK.MA,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49),SG.VAW.1549.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,10.8,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Ratio of female to male labor force participation rate (%) (modeled ILO estimate),SL.TLF.CACT.FM.ZS,90.53740940356559,90.7096405690737,91.54659751525587,90.4078080467984,90.6252910084072,90.55231093896975,90.36905174690808,89.54748869889738,89.65313885551895,89.76782177154617,89.89361220710855,89.36001687136974,88.87423770114832,88.30327193515642,88.07555639905895,88.7107551645504,88.96635615251908,89.00597988655008,88.17700604695374,88.33683918861628,88.13220793503729,86.93209989571272,87.04671373150384,87.04844749937585,87.66318483944349
+Vietnam,VNM,Ratio of female to male labor force participation rate (%) (national estimate),SL.TLF.CACT.FM.NE.ZS,90.53709183469381,90.70968135710685,91.54746440699019,90.40736456145166,90.6249944120648,90.55118472887513,90.3693895015107,89.54828505375396,..,..,89.89293857034323,..,88.87368932620791,88.30351264653285,88.07531111657956,88.7116746248008,88.96644411931226,89.00587252279362,88.17661923251492,88.33640226403345,88.13225338400271,86.93237432422579,86.97852893176321,85.97491492205369,87.66066101934594
+Vietnam,VNM,Refugee population by country or territory of asylum,SM.POP.REFG,15000,15000,15000,15945,15945,15945,15360,2360,2357,2357,2357,2357,2357,1928,990,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Refugee population by country or territory of origin,SM.POP.REFG.OR,476795,435437,405378,370753,353211,373732,363170,349793,358268,374278,327770,328175,339299,338707,337828,336936,314109,313420,313152,329341,334064,334464,316441,316728,317737
+Vietnam,VNM,"Self-employed, female (% of female employment) (modeled ILO estimate)",SL.EMP.SELF.FE.ZS,85.0699996948242,82.3499984741211,84.7099990844727,84.5800018310547,82.5500030517578,82.8899993896484,81.9700012207031,78.9400024414063,77.1500015258789,75.5699996948242,74.1500015258789,73.2200012207031,72.4400024414063,72.0199966430664,71.2799987792969,70.870002746582,70.5999984741211,69.4400024414063,65.8099975585938,64.2600021362305,62.3199996948242,60.6100006103516,58.9000015258789,..,..
+Vietnam,VNM,"Self-employed, male (% of male employment) (modeled ILO estimate)",SL.EMP.SELF.MA.ZS,77.9700012207031,75.370002746582,78.5699996948242,77.8899993896484,75.2399978637695,75.9000015258789,73.9800033569336,70.2600021362305,68.1100006103516,66.0100021362305,63.9099998474121,62.2299995422363,60.7400016784668,60.7700004577637,59.8300018310547,59.9799995422363,60.0900001525879,59.5999984741211,55.939998626709,53.7000007629395,52.4099998474121,51.8699989318848,50.0800018310547,..,..
+Vietnam,VNM,"Self-employed, total (% of total employment) (modeled ILO estimate)",SL.EMP.SELF.ZS,81.4199981689453,78.75,81.5400009155273,81.129997253418,78.75,79.2699966430664,77.8199996948242,74.4300003051758,72.4599990844727,70.6100006103516,68.8399963378906,67.5100021362305,66.3600006103516,66.1399993896484,65.3199996948242,65.2099990844727,65.1399993896484,64.3300018310547,60.6599998474121,58.75,57.1500015258789,56.060001373291,54.2999992370605,..,..
+Vietnam,VNM,"Services, value added (annual % growth)",NV.SRV.TOTL.KD.ZG,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Services, value added (constant 2015 US$)",NV.SRV.TOTL.KD,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Services, value added per worker (constant 2015 US$)",NV.SRV.EMPL.KD,3370.427976780523,3198.4877704153787,3280.057732306183,3483.0595155615797,3651.8230379425827,3603.717126776285,3667.0734299637634,3716.6804847085614,3702.264063065078,3700.0708393381915,3656.2660450168137,3841.156906771506,3986.345823538465,3703.517361314489,3804.6518358174553,3866.400898574519,3967.764351531602,4126.604344606367,4232.3346912327315,4489.51436724757,4674.719904274561,4834.886649195471,5108.852206716742,..,..
+Vietnam,VNM,"Share of youth not in education, employment or training, female (% of female youth population)",SL.UEM.NEET.FE.ZS,..,..,..,..,..,..,..,..,..,..,12.3699998855591,..,12.8800001144409,10.6899995803833,10.7799997329712,11.6599998474121,12.3299999237061,12.1700000762939,12.6199998855591,11.8400001525879,12.0100002288818,10.6300001144409,15.0900001525879,14.210000038147,16.5699996948242
+Vietnam,VNM,"Share of youth not in education, employment or training, male (% of male youth population)",SL.UEM.NEET.MA.ZS,..,..,..,..,..,..,..,..,..,..,8.92000007629395,..,7.71000003814697,5.8600001335144,5.92999982833862,7.40000009536743,7.84999990463257,7.44999980926514,7.28999996185303,7.21000003814697,7.51000022888184,6,11.5200004577637,10,14.0600004196167
+Vietnam,VNM,"Share of youth not in education, employment or training, total (% of youth population)",SL.UEM.NEET.ZS,..,..,..,..,..,..,..,..,..,..,10.6000003814697,..,10.2700004577637,8.23999977111816,8.28999996185303,9.4399995803833,9.98999977111816,9.72999954223633,9.88000011444092,9.47000026702881,9.69999980926514,8.3100004196167,13.2399997711182,12.039999961853,15.2700004577637
+Vietnam,VNM,"Specialist surgical workforce (per 100,000 population)",SH.MED.SAOP.P5,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day)",SI.SPR.PC40,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4,..,..,..,5,..,..,..
+Vietnam,VNM,"Survey mean consumption or income per capita, total population (2011 PPP $ per day)",SI.SPR.PCAP,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,8.39,..,..,..,10.78,..,..,..
+Vietnam,VNM,Unemployment with advanced education (% of total labor force with advanced education),SL.UEM.ADVN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,2.24000000953674,2.50999999046326,2.8199999332428,3.89000010490417,3.97000002861023,4.59000015258789,4.63000011444092,4,2.07999992370605,2.52999997138977,4.48000001907349,3.41000008583069
+Vietnam,VNM,"Unemployment with advanced education, female (% of female labor force with advanced education)",SL.UEM.ADVN.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,2.65000009536743,2.90000009536743,3.09999990463257,4.17000007629395,4.40999984741211,5.05999994277954,5.05999994277954,4.44999980926514,2.30999994277954,2.75,5.8899998664856,3.60999989509583
+Vietnam,VNM,"Unemployment with advanced education, male (% of male labor force with advanced education)",SL.UEM.ADVN.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,1.87000000476837,2.16000008583069,2.55999994277954,3.63000011444092,3.54999995231628,4.09999990463257,4.17000007629395,3.51999998092651,1.83000004291534,2.3199999332428,3,3.21000003814697
+Vietnam,VNM,Unemployment with basic education (% of total labor force with basic education),SL.UEM.BASC.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,0.810000002384186,0.709999978542328,0.670000016689301,0.810000002384186,0.730000019073486,1.24000000953674,1.16999995708466,1.26999998092651,0.860000014305115,1.26999998092651,1.4099999666214,2.01999998092651
+Vietnam,VNM,"Unemployment with basic education, female (% of female labor force with basic education)",SL.UEM.BASC.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,0.75,0.589999973773956,0.569999992847443,0.579999983310699,0.529999971389771,0.920000016689301,0.870000004768372,0.990000009536743,0.660000026226044,1.0900000333786,1.41999995708466,1.8400000333786
+Vietnam,VNM,"Unemployment with basic education, male (% of male labor force with basic education)",SL.UEM.BASC.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,0.870000004768372,0.819999992847443,0.779999971389771,1.02999997138977,0.920000016689301,1.53999996185303,1.45000004768372,1.51999998092651,1.02999997138977,1.44000005722046,1.38999998569489,2.19000005722046
+Vietnam,VNM,Unemployment with intermediate education (% of total labor force with intermediate education),SL.UEM.INTM.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,2.00999999046326,1.60000002384186,1.71000003814697,1.97000002861023,1.87000000476837,2.61999988555908,2.66000008583069,2.77999997138977,1.75999999046326,2.29999995231628,2.46000003814697,2.8199999332428
+Vietnam,VNM,"Unemployment with intermediate education, female (% of female labor force with intermediate education)",SL.UEM.INTM.FE.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,2.08999991416931,1.5,1.61000001430511,1.78999996185303,1.71000003814697,2.50999999046326,2.51999998092651,2.50999999046326,1.55999994277954,2.34999990463257,2.99000000953674,2.88000011444092
+Vietnam,VNM,"Unemployment with intermediate education, male (% of male labor force with intermediate education)",SL.UEM.INTM.MA.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,1.95000004768372,1.66999995708466,1.78999996185303,2.09999990463257,1.98000001907349,2.71000003814697,2.76999998092651,3,1.9099999666214,2.26999998092651,2.10999989509583,2.77999997138977
+Vietnam,VNM,"Unemployment, female (% of female labor force) (modeled ILO estimate)",SL.UEM.TOTL.FE.ZS,2.54399991035461,2.15700006484985,2.40700006484985,2.14199995994568,3.26799988746643,2.32999992370605,2.63599991798401,2.43899989128113,2.26300001144409,2.12299990653992,1.932000041008,1.79499995708466,1.5789999961853,1.07400000095367,0.901000022888184,0.930999994277954,1.14300000667572,1.10899996757507,1.70899999141693,1.69900000095367,1.69799995422363,1.02900004386902,2.00799989700317,2.81900000572205,2.09200000762939
+Vietnam,VNM,"Unemployment, female (% of female labor force) (national estimate)",SL.UEM.TOTL.FE.NE.ZS,2.54999995231628,2.16000008583069,2.40000009536743,2.14000010490417,3.25999999046326,2.32999992370605,2.63000011444092,2.44000005722046,..,..,1.92999994754791,..,1.58000004291534,1.08000004291534,0.899999976158142,0.930000007152557,1.13999998569489,1.11000001430511,1.71000003814697,1.70000004768372,1.70000004768372,1.02999997138977,1.60000002384186,2.45000004768372,2.28999996185303
+Vietnam,VNM,"Unemployment, male (% of male labor force) (modeled ILO estimate)",SL.UEM.TOTL.MA.ZS,3.18199992179871,2.41700005531311,2.25600004196167,2.37199997901917,2.27600002288818,1.91999995708466,1.88399994373322,1.85899996757507,1.93700003623962,2.05200004577637,2.12199997901917,2.04999995231628,1.88900005817413,1.14300000667572,1.09099996089935,1.12100005149841,1.48399996757507,1.39900004863739,1.97899997234344,1.9889999628067,2.02699995040894,1.27799999713898,2.06800007820129,2.00200009346008,2.23399996757507
+Vietnam,VNM,"Unemployment, male (% of male labor force) (national estimate)",SL.UEM.TOTL.MA.NE.ZS,3.19000005722046,2.42000007629395,2.25,2.36999988555908,2.26999998092651,1.91999995708466,1.87999999523163,1.86000001430511,..,..,2.11999988555908,..,1.88999998569489,1.14999997615814,1.0900000333786,1.12000000476837,1.48000001907349,1.39999997615814,1.98000001907349,1.99000000953674,2.02999997138977,1.27999997138977,1.75999999046326,1.78999996185303,2.47000002861023
+Vietnam,VNM,"Unemployment, total (% of total labor force) (modeled ILO estimate)",SL.UEM.TOTL.ZS,2.86999988555908,2.28999996185303,2.32999992370605,2.25999999046326,2.75999999046326,2.11999988555908,2.25,2.14000010490417,2.09500002861023,2.08699989318848,2.02999997138977,1.92700004577637,1.74000000953674,1.11000001430511,1,1.02999997138977,1.32000005245209,1.25999999046326,1.85000002384186,1.85000002384186,1.87000000476837,1.1599999666214,2.03999996185303,2.39000010490417,2.16599988937378
+Vietnam,VNM,"Unemployment, total (% of total labor force) (national estimate)",SL.UEM.TOTL.NE.ZS,2.86999988555908,2.28999996185303,2.32999992370605,2.25999999046326,2.75999999046326,2.11999988555908,2.25,2.14000010490417,..,..,2.02999997138977,..,1.74000000953674,1.11000001430511,1,1.02999997138977,1.32000005245209,1.25999999046326,1.85000002384186,1.85000002384186,1.87000000476837,1.1599999666214,1.67999994754791,2.09999990463257,2.38000011444092
+Vietnam,VNM,"Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.FE.ZS,5.1230001449585,4.21299982070923,4.64499998092651,4.30800008773804,6.30000019073486,4.50400018692017,5.13800001144409,4.77099990844727,5.04699993133545,5.36499977111816,5.61899995803833,4.96099996566772,4.17600011825562,3.31500005722046,3.07800006866455,3.52699995040894,4.42199993133545,4.70499992370605,6.45699977874756,6.73400020599365,7.02099990844727,4.36199998855591,6.73899984359741,8.5620002746582,7.44500017166138
+Vietnam,VNM,"Unemployment, youth female (% of female labor force ages 15-24) (national estimate)",SL.UEM.1524.FE.NE.ZS,..,..,..,..,..,..,..,4.88000011444092,..,..,6.05000019073486,..,4.3899998664856,3.5,3.36999988555908,3.97000002861023,5.01999998092651,5.40000009536743,6.94000005722046,7.21000003814697,7.32999992370605,4.53999996185303,5.6100001335144,7.8600001335144,7.01999998092651
+Vietnam,VNM,"Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.MA.ZS,7.26700019836426,5.46400022506714,5.13199996948242,5.64699983596802,5.22100019454956,4.43400001525879,4.39599990844727,4.36399984359741,4.91099977493286,5.52799987792969,6.07800006866455,5.40799999237061,4.59000015258789,3.43400001525879,3.25500011444092,3.65799999237061,4.61100006103516,4.6230001449585,6.13800001144409,6.76300001144409,7.04300022125244,4.69700002670288,6.73199987411499,6.24599981307983,7.06500005722046
+Vietnam,VNM,"Unemployment, youth male (% of male labor force ages 15-24) (national estimate)",SL.UEM.1524.MA.NE.ZS,..,..,..,..,..,..,..,4.38000011444092,..,..,6.42000007629395,..,4.82000017166138,3.64000010490417,3.49000000953674,3.94000005722046,4.98999977111816,5.03999996185303,6.46000003814697,7.1399998664856,7.28000020980835,5.01000022888184,5.94999980926514,5.88000011444092,7
+Vietnam,VNM,"Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)",SL.UEM.1524.ZS,6.2020001411438,4.84000015258789,4.88700008392334,4.97800016403198,5.76100015640259,4.4689998626709,4.76000022888184,4.56099987030029,4.97700023651123,5.44999980926514,5.85799980163574,5.19600009918213,4.39499998092651,3.37899994850159,3.17499995231628,3.59800004959106,4.52500009536743,4.66099977493286,6.28399991989136,6.75,7.03299999237061,4.54500007629395,6.7350001335144,7.29099988937378,7.23699998855591
+Vietnam,VNM,"Unemployment, youth total (% of total labor force ages 15-24) (national estimate)",SL.UEM.1524.NE.ZS,..,..,..,..,..,..,..,4.61999988555908,..,..,6.23999977111816,..,4.6100001335144,3.5699999332428,3.44000005722046,3.96000003814697,5,5.21000003814697,6.67999982833862,7.17000007629395,7.30000019073486,4.78999996185303,5.80000019073486,6.78999996185303,7.01000022888184
+Vietnam,VNM,"Vulnerable employment, female (% of female employment) (modeled ILO estimate)",SL.EMP.VULN.FE.ZS,84.9700012207031,82.3399982452392,84.640001296997,84.4299983978272,82.25,82.6099987030029,81.7300014495849,78.6399974822998,76.6699981689453,74.7700004577636,72.8800010681153,71.1799983978272,69.2499980926514,69.7999992370606,69.4499988555908,69.1900005340576,69.0999984741211,68.23999977111819,63.940000534057596,62.429998397827205,61.200000762939396,59.430000305175795,57.76000022888191,..,..
+Vietnam,VNM,"Vulnerable employment, male (% of male employment) (modeled ILO estimate)",SL.EMP.VULN.MA.ZS,77.7600021362305,75.2999992370606,78.4099979400635,77.6199989318848,74.9199981689453,75.3999996185303,73.5299987792969,69.560001373291,67.0099983215332,64.30000114440921,61.2599992752075,58.1200008392334,54.4800014495849,56.2200012207031,55.9700002670288,56.340000152587905,56.6900005340577,56.6900005340576,52.0999984741211,49.9500017166138,49.5399980545044,48.85999870300297,47.29000091552731,..,..
+Vietnam,VNM,"Vulnerable employment, total (% of total employment) (modeled ILO estimate)",SL.EMP.VULN.ZS,81.2599983215332,78.7099990844727,81.4200019836426,80.9199981689453,78.4400024414062,78.8800010681152,77.4799995422363,73.9199981689454,71.6599979400635,69.3400020599365,66.8500003814697,64.4000015258789,61.5700016021729,62.700000762939396,62.4299983978272,62.5200004577637,62.6499996185302,62.23999977111809,57.76000022888179,55.9199981689453,55.1100006103516,53.9099998474121,52.289999008178704,..,..
+Vietnam,VNM,"Wage and salaried workers, female (% of female employment) (modeled ILO estimate)",SL.EMP.WORK.FE.ZS,14.9300003051758,17.6499996185303,15.289999961853,15.4200000762939,17.4500007629395,17.1100006103516,18.0400009155273,21.0599994659424,22.8500003814697,24.4300003051758,25.8500003814697,26.7900009155273,27.5599994659424,27.9799995422363,28.7199993133545,29.1299991607666,29.3999996185303,30.5599994659424,34.189998626709,35.7400016784668,37.6800003051758,39.3899993896484,41.0999984741211,..,..
+Vietnam,VNM,"Wage and salaried workers, male (% of male employment) (modeled ILO estimate)",SL.EMP.WORK.MA.ZS,22.0400009155273,24.6299991607666,21.4300003051758,22.1100006103516,24.7600002288818,24.1000003814697,26.0200004577637,29.7399997711182,31.8899993896484,33.9900016784668,36.0900001525879,37.7700004577637,39.2599983215332,39.2299995422363,40.1699981689453,40.0200004577637,39.9099998474121,40.4000015258789,44.060001373291,46.2999992370605,47.5900001525879,48.1300010681152,49.9199981689453,..,..
+Vietnam,VNM,"Wage and salaried workers, total (% of total employment) (modeled ILO estimate)",SL.EMP.WORK.ZS,18.5799999237061,21.25,18.4599990844727,18.8700008392334,21.25,20.7299995422363,22.1800003051758,25.5699996948242,27.5499992370605,29.3899993896484,31.1599998474121,32.4900016784668,33.6399993896484,33.8600006103516,34.6800003051758,34.7900009155273,34.8600006103516,35.6699981689453,39.3400001525879,41.25,42.8499984741211,43.939998626709,45.7000007629395,..,..
+Vietnam,VNM,Women Business and the Law Index Score (scale 1-100),SG.LAW.INDX,64.375,64.375,64.375,64.375,64.375,64.375,64.375,64.375,64.375,64.375,67.5,70,70,70,70,70,76.25,76.25,76.25,78.75,78.75,78.75,78.75,81.875,85
+Vietnam,VNM,"Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care  (% of women age 15-49)",SG.DMK.SRCR.FN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,"Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)",SG.DMK.ALLD.FN.ZS,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Women who believe a husband is justified in beating his wife (any of five reasons) (%),SG.VAW.REAS.ZS,..,..,..,..,..,..,..,..,..,63.8,..,..,..,..,..,..,..,28.2,..,..,..,..,..,..,..
+Vietnam,VNM,Women who believe a husband is justified in beating his wife when she argues with him (%),SG.VAW.ARGU.ZS,..,..,..,..,..,..,..,..,..,37.2,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Women who believe a husband is justified in beating his wife when she burns the food (%),SG.VAW.BURN.ZS,..,..,..,..,..,..,..,..,..,17.9,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Women who believe a husband is justified in beating his wife when she goes out without telling him (%),SG.VAW.GOES.ZS,..,..,..,..,..,..,..,..,..,38.7,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Women who believe a husband is justified in beating his wife when she neglects the children (%),SG.VAW.NEGL.ZS,..,..,..,..,..,..,..,..,..,57.3,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
+Vietnam,VNM,Women who believe a husband is justified in beating his wife when she refuses sex with him (%),SG.VAW.REFU.ZS,..,..,..,..,..,..,..,..,..,18,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..
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