diff --git a/differences/growth-of-income-and-trade_v33_850x600.svg b/differences/growth-of-income-and-trade_v33_850x600.svg new file mode 100644 index 00000000000..2757664be4a --- /dev/null +++ b/differences/growth-of-income-and-trade_v33_850x600.svg @@ -0,0 +1 @@ +Annual average growth of trade vs. GDP per capita, 1945 to 2014Trade is expressed in exports as a share of GDP. GDP per capita is adjusted for inflation and differences in thecost of living between countries.Average annual change in GDP per capita-6%-4%-2%+0%+2%+4%+6%Average annual change in trade-15%-10%-5%+0%+5%ChinaChinaIndiaIndiaIndonesiaIndonesiaRussiaRussiaEthiopiaEthiopiaTurkeyTurkeyFranceFranceSouth KoreaSouth KoreaColombiaColombiaUgandaUgandaMozambiqueMozambiqueNorth KoreaNorth KoreaMaliMaliSenegalSenegalChadChadMauritaniaMauritaniaRwandaRwandaSingaporeSingaporeLaosLaosSao Tome and PrincipeSao Tome and PrincipeAzerbaijanAzerbaijanTajikistanTajikistanTurkmenistanTurkmenistanLithuaniaLithuaniaMontenegroMontenegroAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.2B1.2B400M400MCircles sized byPopulation(historical)Data source: Fouquin and Hugot (CEPII 2016); Bolt and van Zanden - Maddison Project Database 2023OurWorldInData.org/trade-and-econ-growth | CC BY \ No newline at end of file diff --git a/originals/growth-of-income-and-trade_v33_850x600.svg b/originals/growth-of-income-and-trade_v33_850x600.svg new file mode 100644 index 00000000000..90a9c68278f --- /dev/null +++ b/originals/growth-of-income-and-trade_v33_850x600.svg @@ -0,0 +1 @@ +Annual average growth of trade vs. GDP per capita, 1945 to 2014Trade is expressed in exports as a share of GDP. GDP per capita is adjusted for inflation and differences in thecost of living between countries.Average annual change in GDP per capita-6%-4%-2%+0%+2%+4%+6%Average annual change in trade-15%-10%-5%+0%+5%ChinaChinaIndiaIndiaIndonesiaIndonesiaRussiaRussiaEthiopiaEthiopiaTurkeyTurkeyFranceFranceSouth KoreaSouth KoreaColombiaColombiaUgandaUgandaMozambiqueMozambiqueNorth KoreaNorth KoreaMaliMaliSenegalSenegalChadChadMauritaniaMauritaniaRwandaRwandaSingaporeSingaporeLaosLaosSao Tome and PrincipeSao Tome and PrincipeAzerbaijanAzerbaijanTajikistanTajikistanTurkmenistanTurkmenistanLithuaniaLithuaniaMontenegroMontenegroAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.2B1.2B400M400MCircles sized byPopulation(historical)Data source: Fouquin and Hugot (CEPII 2016); Bolt and van Zanden - Maddison Project Database 2023OurWorldinData.org/trade-and-econ-growth | CC BY \ No newline at end of file diff --git a/originals/results.csv b/originals/results.csv new file mode 100644 index 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+320,gender-ratios-for-mean-years-of-schooling,LineChart,,16d629703ec4a56d4a04394e1b244295,gender-ratios-for-mean-years-of-schooling_v18_850x600.svg,3,19,263824064,30784 +323,share-food-exports,LineChart,,363add62ccbbafd1ec6de0c3f7c548b6,share-food-exports_v11_850x600.svg,14,32,270924520,273671 +324,share-manufacture-exports,LineChart,,c813577047789b40e6a591d47221ed08,share-manufacture-exports_v10_850x600.svg,14,31,276754848,271828 +325,real-transport-and-communication-costs,LineChart,,c9b6690e44ad5b631dcca6a49eb3966d,real-transport-and-communication-costs_v6_850x600.svg,4,17,313160352,6846 +327,world-trade-exports-constant-prices,LineChart,,39888b32c9e65de530850357ef1641da,world-trade-exports-constant-prices_v4_850x600.svg,6,14,270276272,7196 +328,data-deprivation-poverty-surveys-per-decade,map,,41d4e1b37e0e92ed26f0fb1767b94c03,data-deprivation-poverty-surveys-per-decade_v22_850x600.svg,14,40,297123456,290652 +329,tax-revenue-national-income-longrun,LineChart,,6eed1ce026222260b0230183a9426919,tax-revenue-national-income-longrun_v3_850x600.svg,2,19,267832544,10273 +330,government-revenues-national-income,StackedArea,,6bdea211b51ee625e821389323d0dea6,government-revenues-national-income_v3_850x600.svg,4,14,312522776,1459 +331,income-taxes-share-of-revenue-europe,LineChart,,dc1709c1b62a1d795724e4858c57ecfc,income-taxes-share-of-revenue-europe_v4_850x600.svg,2,17,312350632,25122 +332,tax-revenues-by-source-gdp-la,StackedArea,,4a5a0b241ba7db0dc53c341e04a89e29,tax-revenues-by-source-gdp-la_v5_850x600.svg,14,34,266184752,22240 +333,tax-revenues-as-a-share-of-gdp-unu-wider,map,,1d5ebacbb1b5bc0d8fd49ec4d276029b,tax-revenues-as-a-share-of-gdp-unu-wider_v30_850x600.svg,14,48,309634448,202917 +334,composition-of-tax-revenues-regional,LineChart,,eab5445669577735c8933c95baae917b,composition-of-tax-revenues-regional_v5_850x600.svg,4,15,284141088,3458 +336,taxes-on-incomes-of-individuals-and-corporations-gdp,map,,b9265c3d12da617a9d2724c8512a59e0,taxes-on-incomes-of-individuals-and-corporations-gdp_v16_850x600.svg,12,45,321644280,185520 +337,maximum-marginal-tax-rates-on-individual-income,LineChart,,52a237c412d4f972d1e4860a8d2efe23,maximum-marginal-tax-rates-on-individual-income_v3_850x600.svg,2,24,282969656,3739 +338,top-income-tax-rates-piketty,LineChart,,cb7d88e9f570ef054eedc89c6bc74351,top-income-tax-rates-piketty_v3_850x600.svg,2,20,307922704,14975 +339,taxes-on-goods-and-services-gdp,map,,4312e15b7ab5a577bace0eee624b00af,taxes-on-goods-and-services-gdp_v18_850x600.svg,7,40,285189176,184806 +340,tax-revenues-vs-gdp-per-capita,ScatterPlot,,b6ad16a25d223a3b4b2c539b5f2930ee,tax-revenues-vs-gdp-per-capita_v39_850x600.svg,576,950,438099096,2275457 +341,reduction-in-income-inequality,LineChart,,867b1c0424eeb3668dfe4ecd01c57270,reduction-in-income-inequality_v20_850x600.svg,2,25,281368248,18384 +343,ti-corruption-perception-index,map,,08f5967170e1e98ac851ccd545e26dc6,ti-corruption-perception-index_v9_850x600.svg,5,23,312142544,32605 +345,average-rating-of-corruption-perception,map,,9e755150616a6f74b2f7b716352a2af3,average-rating-of-corruption-perception_v3_850x600.svg,2,14,336238464,2981 +347,share-of-people-who-think-political-parties-are-very-corrupt,map,,e8073be55050fb669f1de18de11274f1,share-of-people-who-think-political-parties-are-very-corrupt_v3_850x600.svg,3,16,296854008,2858 +348,bribery-rates,map,,23f6c1f96ff61ecbc13e646ef57b598d,bribery-rates_v10_850x600.svg,3,16,279765816,5452 +349,bribe-payers-index,DiscreteBar,,87cbaec70dfd36cf49ef254bceb9bae3,bribe-payers-index_v4_850x600.svg,3,11,318768040,1235 +350,incidence-bribes-firms-2013,map,,4220cbafad8687b7cd07f553ee6b4d37,incidence-bribes-firms-2013_v4_850x600.svg,4,19,332221552,4014 +351,unpaid-parking-violations-per-diplomat,map,,d159cb577d63f2e3c1d52f6fcdad2c97,unpaid-parking-violations-per-diplomat_v5_850x600.svg,4,20,293453648,4154 +354,human-development-index-vs-corruption-perception-index,ScatterPlot,,26f2ce2bf29babe7436c0fa8b95a987f,human-development-index-vs-corruption-perception-index_v21_850x600.svg,561,802,410214488,2069094 +356,share-of-people-paying-bribes-vs-corruption-perception,ScatterPlot,,eee5e00469273464f47e8f4c5373d6de,share-of-people-paying-bribes-vs-corruption-perception_v24_850x600.svg,549,837,391365304,1891923 +360,total-gov-expenditure-gdp-wdi,map,,c25c78d43a9d3b283103574aee939771,total-gov-expenditure-gdp-wdi_v10_850x600.svg,22,49,306695320,146477 +361,total-gov-expenditure-percapita-oecd,map,,6da3ffa4bfd579f414054d71554cd9d4,total-gov-expenditure-percapita-oecd_v6_850x600.svg,2,61,323221616,10317 +362,share-social-protection-in-government-exp-oecd-2013,LineChart,,4966c10027f3b71843b12293dbc28a2d,share-social-protection-in-government-exp-oecd-2013_v26_850x600.svg,3,22,283844984,8781 +364,historical-gov-spending-gdp,map,,5b08533594017e22ffc2a50c19c259b5,historical-gov-spending-gdp_v11_850x600.svg,16,92,294499952,291326 +365,share-of-employee-compensation-in-public-spending,map,,80d87c8e7917213308f00dc5bc1b1491,share-of-employee-compensation-in-public-spending_v9_850x600.svg,5,39,319402496,145887 +366,share-of-government-expenditure-going-to-interest-payments,map,,4f5ddb3ff5d909669af31f23bd0baf30,share-of-government-expenditure-going-to-interest-payments_v9_850x600.svg,9,40,339227560,145789 +367,oecd-expenditures-on-government-outsourcing-gdp,DiscreteBar,,41074bc97e313687f6778e97cd9f7b8a,oecd-expenditures-on-government-outsourcing-gdp_v10_850x600.svg,3,13,307391848,8861 +368,government-procurement-share-gdp,LineChart,,2cd2a077b61a0f3e0f6d2ca2a7d50c36,government-procurement-share-gdp_v6_850x600.svg,2,16,302584288,11252 +369,gov-procurement-share-gov-expenditure,LineChart,,1363b8487ecb06c6f4aaf9cc532eba76,gov-procurement-share-gov-expenditure_v8_850x600.svg,2,13,312450168,11097 +370,government-spending-vs-gdp-per-capita,ScatterPlot,,47adc73b9f96345d9f2edefa9aaf0859,government-spending-vs-gdp-per-capita_v32_850x600.svg,1424,2458,531060440,2798262 +372,inequality-of-incomes-before-and-after-taxes-and-transfers,LineChart,,e84d56294132bf115e99189cb3246b8c,inequality-of-incomes-before-and-after-taxes-and-transfers_v33_850x600.svg,5,35,335007640,33075 +373,economic-inequality-gini-index,map,,eedba78c39d7a8e3ea97eae6018b490a,economic-inequality-gini-index_v84_850x600.svg,16,43,314697736,79821 +374,gini-coefficient-vs-gdp-per-capita-pip,ScatterPlot,,1dcb4a6c9363abf552e44a28fd72ca53,gini-coefficient-vs-gdp-per-capita-pip_v75_850x600.svg,685,1061,222285536,2152361 +383,total-population-living-in-extreme-poverty-by-world-region,StackedArea,,6ae0b5ce4b13f4933a35dde0386fbc9e,total-population-living-in-extreme-poverty-by-world-region_v46_850x600.svg,2,13,309910608,7647 +385,gini-coefficient-before-and-after-tax-lis,LineChart,,7267866136e2357ebb6512804215ec24,gini-coefficient-before-and-after-tax-lis_v44_850x600.svg,6,19,158638072,39019 +386,human-rights-index-vs-electoral-democracy-index,ScatterPlot,,ede280996fbd73a5e6c21f079daa7c2c,human-rights-index-vs-electoral-democracy-index_v42_850x600.svg,784,1363,175691608,3821702 +387,gdp-per-capita-vs-electoral-democracy-index,ScatterPlot,,3fdb24103f779c6f6dc3d6d1aff2cc84,gdp-per-capita-vs-electoral-democracy-index_v48_850x600.svg,1377,2536,293810728,3480240 +388,child-mortality-vs-electoral-democracy,ScatterPlot,,fe783616bb0bd4daa1269e7464bc414c,child-mortality-vs-electoral-democracy_v44_850x600.svg,830,1183,241579152,3285259 +389,infant-mortality,map,,36a99bf91e4577a23a0aa02877bc6938,infant-mortality_v37_850x600.svg,26,84,169094256,453081 +390,population-with-un-projections,LineChart,,861aa002c299a26d98d4ac807be69da7,population-with-un-projections_v50_850x600.svg,249,300,391935328,1228499 +392,share-of-population-living-with-less-than-190-and-320-per-day,LineChart,,e547b00087dcb8190f68acb8752fb6e1,share-of-population-living-with-less-than-190-and-320-per-day_v40_850x600.svg,19,36,388233136,182270 +396,global-incidence-of-child-labour-by-age-groups,LineChart,,17c769356786cb7b9506907d48e72b89,global-incidence-of-child-labour-by-age-groups_v4_850x600.svg,2,12,381833576,301 +397,global-child-mortality-timeseries,StackedArea,,409bdfc46a8a3721ac026a563b5d5550,global-child-mortality-timeseries_v15_850x600.svg,7,23,380044320,13210 +398,share-of-the-world-population-with-at-least-basic-education,StackedArea,,5d4059c435121c282eeb11138a68714d,share-of-the-world-population-with-at-least-basic-education_v30_850x600.svg,64,83,176764504,252504 +401,population-regions-with-projections,StackedArea,,61511aceb816c403a7ab21139e2162a8,population-regions-with-projections_v57_850x600.svg,571,621,482575312,2472898 +403,number-of-countries-having-implemented-a-vat,LineChart,,abe6a899b6a1533a6e771c823f54f848,number-of-countries-having-implemented-a-vat_v4_850x600.svg,2,10,183246864,1434 +404,relative-weight-of-two-forms-of-consumption-taxation,StackedArea,,8fd54bbeaebda8aa1ecee82e12f67fdd,relative-weight-of-two-forms-of-consumption-taxation_v3_850x600.svg,2,15,180364608,3157 +407,child-mortality-vs-population-growth,ScatterPlot,,c4c0a8c0ef9ec9f1e1493dbd5e6d9f5a,child-mortality-vs-population-growth_v35_850x600.svg,695,1074,342250280,3037452 +408,continents-according-to-our-world-in-data,map,,3f9dbfe6fdd5f58040ff1fbf14d1f264,continents-according-to-our-world-in-data_v10_850x600.svg,6,64,404715776,9685 +410,natural-population-growth,LineChart,,2afd961860c634dbf7aff0fb7eb8b0e4,natural-population-growth_v40_850x600.svg,250,273,422697976,1216378 +413,share-multi-poverty,map,,1ff8eb416ad9b0380ff692ee1048e643,share-multi-poverty_v35_850x600.svg,2,21,412441632,3725 +414,top-mrts-on-individual-income,SlopeChart,,cf73ca944739b888ee69f48229a5bb69,top-mrts-on-individual-income_v11_850x600.svg,5,32,382724072,13424 +415,global-child-deaths-by-cause,SlopeChart,,374939668e4fe99fea3919fdc88f7bc4,global-child-deaths-by-cause_v20_850x600.svg,4,30,416542176,13174 +417,mpi-vs-consumption,ScatterPlot,,f652094280ea36bcc8dae550293e969f,mpi-vs-consumption_v71_850x600.svg,555,1046,191795624,1948642 +418,poverty-vs-life-expectancy,ScatterPlot,,6638be148f16c301bf9f3fca53ac79cd,poverty-vs-life-expectancy_v53_850x600.svg,624,1132,176042512,2517785 +419,poverty-vs-mean-schooling,ScatterPlot,,c7228821da53ac3166c83bcee08a028e,poverty-vs-mean-schooling_v40_850x600.svg,380,485,447484968,2070105 +421,child-deaths-igme-data,StackedArea,,f1676f4acdedbd7f2327ebb8aad157b7,child-deaths-igme-data_v29_850x600.svg,61,83,435263488,318274 +425,share-of-population-who-have-ever-been-homeless-2003,DiscreteBar,,e8fba8361d8b5a1a948dd08b83d23833,share-of-population-who-have-ever-been-homeless-2003_v3_850x600.svg,1,40,433162808,186 +427,number-of-homeless-people-by-shelter-status,StackedArea,,3bb5eaa5e7622bd155b48538ace53516,number-of-homeless-people-by-shelter-status_v5_850x600.svg,5,32,477853240,714 +434,homeless-per-capita-us,StackedArea,,a51f00064bbde2acb8769cc9cc406d55,homeless-per-capita-us_v6_850x600.svg,3,15,442826584,704 +435,number-of-unsheltered-homeless-people-per-100000-population,LineChart,,e13e35e3ebe4b972455315c62deb4289,number-of-unsheltered-homeless-people-per-100000-population_v4_850x600.svg,1,14,439185976,305 +436,number-of-unsheltered-homeless-people,LineChart,,18ec79eba0acd08e73045ec986701469,number-of-unsheltered-homeless-people_v4_850x600.svg,2,15,446577568,305 +440,number-of-homeless-people-per-100000-population-circa-2013,DiscreteBar,,f03364aba989421c4184db884bd49321,number-of-homeless-people-per-100000-population-circa-2013_v13_850x600.svg,1,7,121485664,265 +444,gdp-price-levels-relative-to-the-us,LineChart,,237d73c3be03e67619b29c38fae32333,gdp-price-levels-relative-to-the-us_v12_850x600.svg,12,25,437305432,209633 +446,poverty-headcount-rate-vs-poverty-gap,ScatterPlot,,7958a93e9c69dce2636bab9b4d6cfc8b,poverty-headcount-rate-vs-poverty-gap_v55_850x600.svg,607,927,354015552,2034282 +448,total-shortfall-from-extreme-poverty,map,,b57024fe0ede820fca1b9f71995d9d20,total-shortfall-from-extreme-poverty_v37_850x600.svg,5,26,124145216,87123 +449,gdp-per-capita-in-international-and-market-dollars,LineChart,,fb8044a68b5d7791f162be6428cd65f5,gdp-per-capita-in-international-and-market-dollars_v18_850x600.svg,71,99,451608192,583284 +450,price-levels-relative-to-us-vs-gdp-per-capita,ScatterPlot,,8a1eae9a1685879bfa7e3c4ea885ae5d,price-levels-relative-to-us-vs-gdp-per-capita_v31_850x600.svg,627,984,263279408,2282173 +451,higher-labor-productivity-and-price-levels-in-richer-and-poorer-countries,ScatterPlot,,f15c480b1f011f1f18b0da92d2a8f72e,higher-labor-productivity-and-price-levels-in-richer-and-poorer-countries_v24_850x600.svg,203,351,481388016,668608 +463,tax-revenue-per-capita-and-public-health-spending-per-capita-in-developing-countries-in,ScatterPlot,,058eb7178c3d1deb655d67458561a587,tax-revenue-per-capita-and-public-health-spending-per-capita-in-developing-countries-in_v17_850x600.svg,722,1049,190853448,2110066 +468,confidence-in-the-effectiveness-of-vaccines-vs-perception-of-importance,ScatterPlot,,451417d1aece7e5db08ca3f1a368ae76,confidence-in-the-effectiveness-of-vaccines-vs-perception-of-importance_v15_850x600.svg,462,692,343165912,1857641 +469,perception-of-the-safety-of-vaccines-vs-vaccine-coverage,ScatterPlot,,e712eceee559b59db076305590f1a780,perception-of-the-safety-of-vaccines-vs-vaccine-coverage_v14_850x600.svg,55,100,189068208,224137 +470,share-disagrees-vaccines-are-important-for-children-to-have,map,,c5d0d994709b4ba22836e717bdee5798,share-disagrees-vaccines-are-important-for-children-to-have_v3_850x600.svg,2,14,343114448,1883 +471,share-of-children-immunized-dtp3,LineChart,,8c94b7242c0a56ffa98388fb2fa6c124,share-of-children-immunized-dtp3_v20_850x600.svg,20,31,347996688,209174 +472,share-that-disagrees-that-vaccines-are-effective,map,,2d1c49ff862dcb05416793beb4dcb9c2,share-that-disagrees-that-vaccines-are-effective_v3_850x600.svg,1,12,203671960,1892 +473,share-that-disagrees-that-vaccines-are-safe,map,,a882f0b76fd309e798c9e14f8d9e0b8d,share-that-disagrees-that-vaccines-are-safe_v3_850x600.svg,2,16,495726328,1893 +474,share-that-disagrees-vaccines-compatible-with-their-religious-beliefs,map,,09bf16c9bef4456bd63b58ae5ea06b91,share-that-disagrees-vaccines-compatible-with-their-religious-beliefs_v3_850x600.svg,1,10,352620192,1919 +475,total-gdp-in-the-uk-since-1270,LineChart,,bd96fc9beb522b1e1b082c1a842dcdb2,total-gdp-in-the-uk-since-1270_v13_850x600.svg,5,27,198476208,28156 +476,gdp-per-capita-in-the-uk-since-1270,LineChart,,d3e3deadd369906f32194c2c5df3be7a,gdp-per-capita-in-the-uk-since-1270_v10_850x600.svg,5,22,491768056,23008 +483,co2-emissions-vs-gdp,ScatterPlot,,829c05801275dcd7afdddaa01733b616,co2-emissions-vs-gdp_v61_850x600.svg,1425,2390,547094392,3392525 +485,cumulative-co-emissions,LineChart,,b500eb86e2ec2ec1ac925d2adcd5ffb1,cumulative-co-emissions_v36_850x600.svg,52,68,214849328,920927 +486,co-emissions-per-capita,map,,2b9c5cf62cf65bd763f89b9228048309,co-emissions-per-capita_v53_850x600.svg,53,194,517328376,885589 +488,annual-co2-emissions-per-country,LineChart,,9ac2f2b6b279cfb77a73798583c0cfd7,annual-co2-emissions-per-country_v50_850x600.svg,67,95,207999008,955856 +489,death-rate-from-air-pollution-per-100000,map,,197f3c3c50e926c1917b08caa334fd3b,death-rate-from-air-pollution-per-100000_v21_850x600.svg,12,32,215489944,237682 +491,absolute-number-of-deaths-from-ambient-particulate-air-pollution,LineChart,,b1632003b67c7f959fd5caa016d004eb,absolute-number-of-deaths-from-ambient-particulate-air-pollution_v4_850x600.svg,3,9,206122888,29854 +493,dalys-particulate-matter,map,,78734e90bc9e7e140c3cceb298ea259d,dalys-particulate-matter_v16_850x600.svg,10,28,213514944,237506 +495,so-emissions-by-world-region-in-million-tonnes,StackedArea,,14d83bcba5591d805be9f64275c254e3,so-emissions-by-world-region-in-million-tonnes_v6_850x600.svg,314,345,259817880,1601421 +496,health-protection-coverage,map,,79ed56e07459f35115fc030b6fbf2d66,health-protection-coverage_v5_850x600.svg,2,10,193065056,4507 +500,ozone-o3-concentration-in-ppb,map,,406fc934ad6356a5e6570adce9834c33,ozone-o3-concentration-in-ppb_v7_850x600.svg,6,18,194710480,34956 +502,death-rate-from-pm25-vs-pm25-concentration,ScatterPlot,,a49aea7798ef66364c2b7529bb6c2c44,death-rate-from-pm25-vs-pm25-concentration_v43_850x600.svg,495,765,334558320,2159140 +503,childhood-deaths-from-the-five-most-lethal-infectious-diseases-worldwide,LineChart,,ca6a1c62b57a489675514eaa2e7b8b9e,childhood-deaths-from-the-five-most-lethal-infectious-diseases-worldwide_v23_850x600.svg,209,324,110415368,1894799 +506,weekly-hours-dedicated-to-home-production-in-the-usa-by-employment-and-marriage-status,LineChart,,db39514700305d0408936c5e0befb891,weekly-hours-dedicated-to-home-production-in-the-usa-by-employment-and-marriage-status_v5_850x600.svg,2,10,190373968,3221 +507,weekly-hours-dedicated-to-home-production-in-the-usa-by-demographic-group-test,LineChart,,cde9667c8bbdc1ade5775b666d71eeee,weekly-hours-dedicated-to-home-production-in-the-usa-by-demographic-group-test_v5_850x600.svg,4,18,191572304,8705 +509,outdoor-pollution-rate-vs-gdp,ScatterPlot,,91509ba077aeeabd335ea45421a47468,outdoor-pollution-rate-vs-gdp_v43_850x600.svg,487,817,318339928,2309606 +512,global-gdp-over-the-long-run,LineChart,,ff28e8e18bfc073a09a49a3d80070d44,global-gdp-over-the-long-run_v28_850x600.svg,3,16,349819000,1922 +515,depression-vs-self-reported-life-satisfaction,ScatterPlot,,66df25664ebf1059cb24533f7672ebb9,depression-vs-self-reported-life-satisfaction_v36_850x600.svg,495,786,458558016,2147517 +517,national-poverty-lines-vs-gdp-per-capita,ScatterPlot,,418a0ac05ec8b8bc011c692550c0cf82,national-poverty-lines-vs-gdp-per-capita_v34_850x600.svg,429,731,478643128,2079161 +518,nominal-wages-consumer-prices-and-real-wages-in-the-uk-since-1750,LineChart,,5c82829b74daa3dd6368c7ae1cd11bc7,nominal-wages-consumer-prices-and-real-wages-in-the-uk-since-1750_v9_850x600.svg,7,23,263942992,27152 +520,weekly-hours-dedicated-to-home-production-in-the-usa-by-gender,LineChart,,c48e05f7aa81f0c5d4a267e54a5c4a68,weekly-hours-dedicated-to-home-production-in-the-usa-by-gender_v6_850x600.svg,2,8,272974712,6652 +525,meat-supply-per-person,map,,c4b928869b829f7324eb3530305a3e91,meat-supply-per-person_v15_850x600.svg,14,43,277870536,415946 +529,death-rate-by-source-from-air-pollution,StackedArea,,8b5c6f5c0190230cf6011db1009a2c1e,death-rate-by-source-from-air-pollution_v25_850x600.svg,104,123,265196576,718912 +530,co2-intensity,map,,b2ea77a374787f35128066666a5b6f0f,co2-intensity_v31_850x600.svg,31,101,128402208,586995 +533,fruit-consumption-per-capita,map,,b5fa112405bc9972a66c48218b723ee0,fruit-consumption-per-capita_v9_850x600.svg,20,43,276970008,416590 +534,vegetable-consumption-per-capita,map,,e728ddee6d7cd2179363338d52d352c1,vegetable-consumption-per-capita_v9_850x600.svg,18,83,211373208,417571 +535,co2-by-source,StackedArea,,122feba95ade772aaf381706db1d1957,co2-by-source_v38_850x600.svg,329,357,327825848,3674131 +540,death-rate-by-source-from-indoor-air-pollution,map,,b5d99228941576bd954311ed897ba2e3,death-rate-by-source-from-indoor-air-pollution_v24_850x600.svg,11,27,297095256,241448 +544,labor-force-participation-rate-of-men-65-years-and-older-in-the-usa,LineChart,,3e69798002aea5f7db5c5182f31b2fb3,labor-force-participation-rate-of-men-65-years-and-older-in-the-usa_v8_850x600.svg,1,7,283869680,1001 +545,fatality-rates-in-the-us-due-to-weather-events,LineChart,,5778c720d3ee760d811b10d2eec2046b,fatality-rates-in-the-us-due-to-weather-events_v4_850x600.svg,4,26,129307488,16060 +546,fatality-rates-due-to-lightning-in-the-us,LineChart,,c8490f79a1e6a3a7a2a60e386f9ca787,fatality-rates-due-to-lightning-in-the-us_v3_850x600.svg,4,19,202356488,3455 +547,annual-co-emissions-by-region,StackedArea,,c4ce3a8392aad4f38398024b907ed78a,annual-co-emissions-by-region_v50_850x600.svg,229,268,342757616,955856 +549,vaccination-coverage-by-income-in,ScatterPlot,,b7b036258a286e5a8c8d9f79d48dd7fa,vaccination-coverage-by-income-in_v29_850x600.svg,480,771,324885544,2398344 +551,solar-pv-prices,LineChart,,c303a25ac7cad80d52fefdb9735e25db,solar-pv-prices_v21_850x600.svg,1,9,525738128,1653 +552,solar-pv-cumulative-capacity,LineChart,,2de46a356842a2871bef80fc0b304401,solar-pv-cumulative-capacity_v17_850x600.svg,8,17,126272032,145856 +554,international-tourist-trips-by-destination-region,StackedArea,,327bba535322440ca5953262fefb38fb,international-tourist-trips-by-destination-region_v23_850x600.svg,3,15,534706264,7023 +555,annual-healthcare-expenditure-per-capita,map,,1e4a27e6e1e3430838ed450396cf0e71,annual-healthcare-expenditure-per-capita_v22_850x600.svg,8,35,139178528,140963 +556,share-of-people-who-say-they-are-happy,map,,0308811d7b903b905ae77202b1802c49,share-of-people-who-say-they-are-happy_v8_850x600.svg,3,21,536612352,13598 +557,happiness-wvs-vs-gallup,ScatterPlot,,57a0612d9a7fab39568ce4f3f4948d71,happiness-wvs-vs-gallup_v35_850x600.svg,436,729,640184616,1922004 +558,meat-consumption-vs-gdp-per-capita,ScatterPlot,,1249a5e070cb85c57cd15b117f636056,meat-consumption-vs-gdp-per-capita_v27_850x600.svg,170,274,157996968,644305 +562,share-who-say-happy-wvs-first-to-last,LineChart,,d853b5cb9cd5dfaefadef5a0f455bae8,share-who-say-happy-wvs-first-to-last_v11_850x600.svg,2,21,291033928,4786 +563,share-of-people-who-say-they-are-happy-eurobarometer,LineChart,,d29afb1019eeec2b1ed162b6d044c330,share-of-people-who-say-they-are-happy-eurobarometer_v9_850x600.svg,3,23,289510584,26577 +569,installed-global-renewable-energy-capacity-by-technology,LineChart,,48b62a714ef05db4e7a9e090b8497558,installed-global-renewable-energy-capacity-by-technology_v16_850x600.svg,1,11,343422800,15956 +571,prevalence-of-undernourishment-vs-share-of-children-who-are-stunted,ScatterPlot,,59da612464d1756dca4a55b40a72018b,prevalence-of-undernourishment-vs-share-of-children-who-are-stunted_v16_850x600.svg,30,41,301425048,149363 +575,extreme-poverty-vs-child-mortality,ScatterPlot,,55083753a2fe4291da09b3fccc9e1008,extreme-poverty-vs-child-mortality_v51_850x600.svg,303,384,407561552,2403006 +578,social-spending-oecd-longrun,LineChart,,ef45b47ec689b84c6486e2a6b03c86f8,social-spending-oecd-longrun_v8_850x600.svg,3,14,342028880,25795 +579,life-satisfaction-vs-life-expectancy,ScatterPlot,,3394fca2a9a92a81bdad78e6c347f918,life-satisfaction-vs-life-expectancy_v31_850x600.svg,519,862,465515312,2481106 +582,death-rates-from-energy-production-per-twh,DiscreteBar,,13c7dffc500394dbdb9e2a5abdf6f70c,death-rates-from-energy-production-per-twh_v10_850x600.svg,2,12,335047344,341 +586,per-capita-energy-use,map,,43aed30284598382cc2ec8e429541a04,per-capita-energy-use_v36_850x600.svg,16,55,311076592,354008 +587,energy-use-per-capita-vs-gdp-per-capita,ScatterPlot,,bca6d2271c7659636363b481bd4148d9,energy-use-per-capita-vs-gdp-per-capita_v31_850x600.svg,573,931,463885576,2294207 +589,fish-and-seafood-consumption-per-capita,map,,e7ce8e84ebbf31a4288e8fafa8a6f79a,fish-and-seafood-consumption-per-capita_v12_850x600.svg,21,54,177025808,416051 +590,fish-consumption-vs-gdp-per-capita,ScatterPlot,,5f8d5c16baf3e0b403677fc663caf095,fish-consumption-vs-gdp-per-capita_v24_850x600.svg,541,914,463763712,2488591 +591,national-gdp-penn-world-table,map,,3e32a5f25afb86e20dba3088e2179e68,national-gdp-penn-world-table_v32_850x600.svg,21,62,489214416,359215 +592,shares-of-gdp-by-economic-sector,StackedArea,,ed53b5ef4fde4cedab56b7f692b8f231,shares-of-gdp-by-economic-sector_v14_850x600.svg,29,54,306294952,115375 +595,employment-by-economic-sector,StackedArea,,14934c6a15fb7a9557258f35f8fe25e5,employment-by-economic-sector_v7_850x600.svg,357,364,494577992,348706 +596,renewable-energy-investment-of-gdp,DiscreteBar,,7de481f8d9ab65af4b018637724dc397,renewable-energy-investment-of-gdp_v7_850x600.svg,1,14,165926872,333 +598,share-of-the-population-with-access-to-electricity,map,,5d951955c2269f545cf390bb2af01138,share-of-the-population-with-access-to-electricity_v29_850x600.svg,9,46,316511480,196181 +599,public-health-expenditure-share-gdp,LineChart,,73ec48dac40ee6ce6a22dc1e4337acb9,public-health-expenditure-share-gdp_v20_850x600.svg,4,20,169063104,66595 +600,various-measures-of-child-labour-incidence,LineChart,,7e67ef838db7768d3da44a6715984e12,various-measures-of-child-labour-incidence_v5_850x600.svg,2,10,498513824,978 +603,labor-productivity-agriculture-sweden,LineChart,,a2e03295df7a2024e12affce3eff7cd4,labor-productivity-agriculture-sweden_v2_850x600.svg,2,13,492027128,5103 +606,incidence-of-child-labor-in-the-united-states,LineChart,,dc0efb3ae476ba3275dad2d97ae5b92d,incidence-of-child-labor-in-the-united-states_v6_850x600.svg,4,13,177490616,441 +607,social-expenditure-as-percentage-of-gdp,StackedArea,,949b8dc5ed5c9061462aa56e91cb6cdf,social-expenditure-as-percentage-of-gdp_v17_850x600.svg,20,27,168158048,77242 +610,various-measures-of-social-expenditure-as-share-of-gdp,LineChart,,31c9fd8921269fc4aef87196ab64761c,various-measures-of-social-expenditure-as-share-of-gdp_v7_850x600.svg,12,24,493284672,56035 +611,energy-intensity-of-economies,map,,aa9af989870d367bc36ed25083eb3084,energy-intensity-of-economies_v19_850x600.svg,5,33,327250136,132008 +613,share-of-electricity-production-from-renewable-sources,LineChart,,fd10965a435036ef393bb05b9e828da3,share-of-electricity-production-from-renewable-sources_v12_850x600.svg,19,26,500680528,230565 +620,prevalence-of-undernourishment-in-developing-countries-since-1970,LineChart,,72d858f26585c83df2a491dc21b89290,prevalence-of-undernourishment-in-developing-countries-since-1970_v5_850x600.svg,1,10,176812176,866 +622,health-expenditure-and-financing-per-capita,LineChart,,6e0087f3f1bc797316c4890c98b98c75,health-expenditure-and-financing-per-capita_v6_850x600.svg,2,14,180533808,57275 +623,life-expectancy-vs-health-expenditure,ScatterPlot,,d29672ca203ec479ab6217aa519582e8,life-expectancy-vs-health-expenditure_v30_850x600.svg,594,945,444772248,2483841 +625,solar-pv-prices-vs-cumulative-capacity,ScatterPlot,,5cb42da6cb340ed674a1aae86e397125,solar-pv-prices-vs-cumulative-capacity_v26_850x600.svg,14,23,502256464,3224 +628,energy-imports-and-exports-energy-use,LineChart,,373d2fafcb2be18fec5f47b2df909cbf,energy-imports-and-exports-energy-use_v7_850x600.svg,15,33,177207568,222320 +629,access-to-electricity-vs-gdp-per-capita,ScatterPlot,,95aaef2f1d075c81485ea324ff16ea60,access-to-electricity-vs-gdp-per-capita_v36_850x600.svg,70,120,519270520,424540 +632,share-of-agricultural-landowners-who-are-female,map,,7aa7c42d6b4f0c8e5305e87217c6da93,share-of-agricultural-landowners-who-are-female_v9_850x600.svg,2,8,175375664,3211 +633,share-of-rural-population-with-electricity-access-vs-share-of-total-population-with-electricity-access,ScatterPlot,,c56e85b0d522eb8df477f896377f5f41,share-of-rural-population-with-electricity-access-vs-share-of-total-population-with-electricity-access_v18_850x600.svg,65,130,197358712,392581 +634,number-of-people-with-and-without-electricity-access,StackedArea,,43f99d77c0a598a4a5fda90130f86e61,number-of-people-with-and-without-electricity-access_v11_850x600.svg,73,84,415931136,432078 +636,coal-proved-reserves,map,,b5b41f91a0706c5865176aa56b1e3c1c,coal-proved-reserves_v22_850x600.svg,2,12,520616040,1673 +637,natural-gas-proved-reserves,map,,c84c687db730f449c29f10770dfeb2f5,natural-gas-proved-reserves_v22_850x600.svg,3,16,523838864,108095 +638,investment-in-renewable-energy-by-technology,StackedArea,,354abf458ae432b136de4cb9afef5cd7,investment-in-renewable-energy-by-technology_v8_850x600.svg,5,16,413958928,4360 +639,agriculture-value-added-per-worker-wdi,map,,f4f6af01f3219a8f157713926e4331d5,agriculture-value-added-per-worker-wdi_v10_850x600.svg,13,29,330207512,162229 +647,primary-energy-consumption-by-region,LineChart,,5ff0e9b266c58d9a281a9c896da9abaa,primary-energy-consumption-by-region_v24_850x600.svg,10,35,421979600,195200 +648,energy-consumption-by-source-and-country,StackedArea,,f0124128665b2ee7b597e18108dc61f5,energy-consumption-by-source-and-country_v45_850x600.svg,114,140,543748424,1485358 +652,crude-oil-prices,LineChart,,c560a4dac047172c5f34f321a5270166,crude-oil-prices_v16_850x600.svg,4,25,492566048,5512 +653,fossil-fuel-price-index,LineChart,,57d09b42c87cd235e9287e3cd4c7529a,fossil-fuel-price-index_v10_850x600.svg,3,19,639193992,16009 +655,air-pollution-london-vs-delhi,LineChart,,bb2bf06e811f5e98e9f57edbbebc8279,air-pollution-london-vs-delhi_v8_850x600.svg,2,20,194398464,12249 +659,air-pollution-vs-gdp-per-capita,ScatterPlot,,7a376ac2f460f6de1610a69b1bd16b30,air-pollution-vs-gdp-per-capita_v20_850x600.svg,549,849,758238064,1864490 +660,maternal-mortality,map,,9d91c9313b90d1c06f6b39b0e721cf64,maternal-mortality_v28_850x600.svg,19,109,510797816,304651 +662,hypothetical-number-of-deaths-from-energy-production,DiscreteBar,,6da20055af206e49cda1e4f3f00a1801,hypothetical-number-of-deaths-from-energy-production_v4_850x600.svg,2,8,336724024,257 +663,maternal-mortality-ratio-vs-gdp-per-capita,ScatterPlot,,e46421993eaef3e5972dccb536647f87,maternal-mortality-ratio-vs-gdp-per-capita_v40_850x600.svg,544,857,550794408,2274978 +667,haq-by-level-of-healthcare-spending-endpoints,ScatterPlot,,3eb9cabb8f48099e79d8fa80217f7f6a,haq-by-level-of-healthcare-spending-endpoints_v28_850x600.svg,540,828,316049160,2032938 +671,years-of-fossil-fuel-reserves-left,LineChart,,36390cfc9065d91116d6873dba496280,years-of-fossil-fuel-reserves-left_v11_850x600.svg,4,19,326571216,2963 +673,number-of-people-in-the-world-with-and-without-access-to-improved-water-sources,StackedArea,,db8f7f792dd71cd74d4a0d9c1a556305,number-of-people-in-the-world-with-and-without-access-to-improved-water-sources_v7_850x600.svg,45,54,345995064,366988 +674,child-mortality-vs-share-of-children-immunized-against-diphtheria-pertussis-and-tetanus,ScatterPlot,,e63c834727387851b3638e7d4806e55e,child-mortality-vs-share-of-children-immunized-against-diphtheria-pertussis-and-tetanus_v30_850x600.svg,558,902,479489600,2521129 +677,child-mortality-rate-ihme,map,,7137cbf4e33e91449522e29cd2c5e091,child-mortality-rate-ihme_v21_850x600.svg,17,69,559400328,412704 +678,demographic-transition-england-wales,LineChart,,c7cd46409be59b69d86fcc4fd4f2fe15,demographic-transition-england-wales_v18_850x600.svg,2,20,509315392,12862 +679,maternal-mortality-slope-chart,SlopeChart,,ce09f466ac30d49f01960e99500ba1b5,maternal-mortality-slope-chart_v25_850x600.svg,29,80,519747248,243450 +680,share-of-women-in-parliament-ipu,map,,469008030cc2237b3759e7c798765902,share-of-women-in-parliament-ipu_v21_850x600.svg,14,43,570398896,162800 +682,population-growth-rate-by-level-of-development,LineChart,,94d208d75f077fb605423098eb9857bc,population-growth-rate-by-level-of-development_v30_850x600.svg,297,320,146035376,1141360 +684,how-much-we-think-we-spend-on-healthcare-vs-how-much-we-actually-do,ScatterPlot,,1fc7e745c73f899ab871d969c331e7b5,how-much-we-think-we-spend-on-healthcare-vs-how-much-we-actually-do_v17_850x600.svg,486,863,150426832,1856050 +686,share-of-out-of-pocket-expenditure-vs-gdp-per-capita,ScatterPlot,,b9805ead902319b1d8a16a53a4e9e67c,share-of-out-of-pocket-expenditure-vs-gdp-per-capita_v25_850x600.svg,591,883,226284200,2213320 +688,fertility-rate-with-projections,LineChart,,ec560cbec317f65be2833b0732adf76f,fertility-rate-with-projections_v35_850x600.svg,234,255,502824400,1130139 +690,solar-pv-system-costs,LineChart,,0887666d278ef45358381d3f1d787273,solar-pv-system-costs_v5_850x600.svg,3,13,471851272,1840 +692,the-long-term-energy-transition-in-europe,StackedArea,,29dafa6d0661ec0b52d650d7bc7aa5a3,the-long-term-energy-transition-in-europe_v6_850x600.svg,5,19,470914432,2072 +695,global-energy-consumption-source,LineChart,,42d4e6fa13dd54c9f4961bbe4f2acc8e,global-energy-consumption-source_v30_850x600.svg,11,24,478072120,24585 +696,share-co2-embedded-in-trade,map,,36eb43df2f419da760e2e13bd2542c31,share-co2-embedded-in-trade_v34_850x600.svg,6,29,481046704,147492 +699,share-of-the-population-infected-with-hiv,map,,b5bafa24dbbd315383adf69d9ba53887,share-of-the-population-infected-with-hiv_v23_850x600.svg,6,34,140544608,198670 +701,co-emissions-embedded-in-global-trade,map,,d1edffa254d552d7f96b17d4140a8629,co-emissions-embedded-in-global-trade_v28_850x600.svg,9,27,489372464,143558 +703,share-of-children-younger-than-5-who-suffer-from-stunting,map,,3556082c5e0ec982ba29923711976e5b,share-of-children-younger-than-5-who-suffer-from-stunting_v23_850x600.svg,5,23,495165928,28673 +705,stunting-vs-level-of-prosperity-over-time,ScatterPlot,,3ffeb1c0fdc5552ed7e0c83f301dde9d,stunting-vs-level-of-prosperity-over-time_v29_850x600.svg,474,801,260231888,2101213 +711,child-mortality-vs-level-of-prosperity-regression,ScatterPlot,,b1d61848f279fe149150a5cb6f3d9f6e,child-mortality-vs-level-of-prosperity-regression_v28_850x600.svg,709,1043,236503144,2531584 +712,child-mortality-igme,map,,56d2d9473f4f90b9e872a815545c27c8,child-mortality-igme_v41_850x600.svg,18,46,460379232,458089 +714,neonatal-mortality-wdi,LineChart,,3169bbc40640a92a40c52c5932ec5108,neonatal-mortality-wdi_v31_850x600.svg,13,34,495286952,370008 +715,cereal-crop-yield-vs-fertilizer-application,ScatterPlot,,15db80dcb210650026d78a32e05f8a91,cereal-crop-yield-vs-fertilizer-application_v12_850x600.svg,159,261,521641216,787080 +716,price-changes-consumer-goods-services-united-states,LineChart,,cfa8fd60ffe0731c21486cf5412eeb51,price-changes-consumer-goods-services-united-states_v15_850x600.svg,18,52,456701056,24389 +717,non-commercial-flight-distance-records,LineChart,,2099d42fc340169e1ff3b6c7efeefabe,non-commercial-flight-distance-records_v5_850x600.svg,1,9,543183992,629 +719,cost-per-gigabase-dna-sequencing,LineChart,,86bde98697b0aaa9ec1c0a1467910997,cost-per-gigabase-dna-sequencing_v15_850x600.svg,1,7,463087656,740 +723,children-per-woman-fertility-rate-vs-level-of-prosperity,ScatterPlot,,86a4f4af1c7e853ac3b4fbb3cb49f6b0,children-per-woman-fertility-rate-vs-level-of-prosperity_v32_850x600.svg,593,932,680292360,2742740 +724,cost-of-sequencing-a-full-human-genome,LineChart,,261ab89dca43eff4bdc3d7fc094e9c8e,cost-of-sequencing-a-full-human-genome_v20_850x600.svg,1,9,469423320,769 +728,capture-fisheries-vs-aquaculture,LineChart,,b08769eb1f9fe6bbdf770109a128a963,capture-fisheries-vs-aquaculture_v14_850x600.svg,70,78,773008144,788605 +730,number-of-deaths-from-natural-disasters,StackedBar,,ed7ec5595df3dfc27a284b3e6d2191c0,number-of-deaths-from-natural-disasters_v29_850x600.svg,50,109,343739768,416394 +731,number-of-natural-disaster-events,LineChart,,473b0ff6b96cc2db7ee03b86afa1d678,number-of-natural-disaster-events_v14_850x600.svg,3,11,464947072,33412 +732,damage-costs-from-natural-disasters,StackedBar,,0de2c07aa11c11052528a948815dba5a,damage-costs-from-natural-disasters_v21_850x600.svg,6,21,550255088,39694 +733,aquaculture-farmed-fish-production,LineChart,,289a4392020be30918f32dd9df86796d,aquaculture-farmed-fish-production_v17_850x600.svg,21,45,463349768,366106 +734,public-opposition-to-nuclear-energy-production,DiscreteBar,,7a714d3417f46532f7ffd0c3ac04bbe8,public-opposition-to-nuclear-energy-production_v5_850x600.svg,2,10,558524720,708 +736,health-coverage-vs-gdp-per-capita-simple,ScatterPlot,,a83d9304af7578fe48593e89d3dda4d7,health-coverage-vs-gdp-per-capita-simple_v27_850x600.svg,627,941,197198384,2077047 +737,per-capita-electricity-generation,map,,a52f94b08ada2b1c85649ea456e4b6c0,per-capita-electricity-generation_v36_850x600.svg,16,37,782685280,220121 +739,news-coverage-of-disasters,DiscreteBar,,825841bbd80acbcbf1821fa073d6501a,news-coverage-of-disasters_v3_850x600.svg,1,11,469889672,478 +740,how-many-deaths-does-it-take-for-a-disaster-to-receive-news-coverage,DiscreteBar,,01deb252d8cef93a825994f586b7f117,how-many-deaths-does-it-take-for-a-disaster-to-receive-news-coverage_v3_850x600.svg,2,26,465160968,494 +741,news-coverage-of-disasters-by-continent,DiscreteBar,,b1e96f7c6a8d0c20ff68dd40d79ab02e,news-coverage-of-disasters-by-continent_v3_850x600.svg,2,6,349496216,478 +742,how-many-deaths-does-it-take-for-a-disaster-in-different-continents-to-receive-news-coverage,DiscreteBar,,bd72a5aab25f4289c3b5e808f458b31d,how-many-deaths-does-it-take-for-a-disaster-in-different-continents-to-receive-news-coverage_v3_850x600.svg,1,11,346120144,494 +743,index-of-cereal-production-yield-and-land-use,LineChart,,e6be5ea9eaaa48ca9afa4a2b7a4cf57a,index-of-cereal-production-yield-and-land-use_v21_850x600.svg,446,484,862106496,3093992 +744,daily-per-capita-caloric-supply,LineChart,,4ba510c7adfd4fd4d346169505d21150,daily-per-capita-caloric-supply_v19_850x600.svg,17,27,470231400,422321 +745,daily-per-capita-protein-supply,map,,c3b5f00057ccb275a5acf577f833fd29,daily-per-capita-protein-supply_v8_850x600.svg,11,45,365318592,415525 +746,daily-per-capita-fat-supply,map,,887603146386e2d500ddd863b1e5847f,daily-per-capita-fat-supply_v8_850x600.svg,18,55,497592152,416856 +749,prevalence-of-anemia-in-children,LineChart,,69728cfa66e6d7d78bf9e9a98ec05710,prevalence-of-anemia-in-children_v13_850x600.svg,12,25,526430832,117435 +750,prevalence-of-anemia-in-pregnant-women,LineChart,,0e4fa6f32ec5e615563f6339acf5b4d5,prevalence-of-anemia-in-pregnant-women_v14_850x600.svg,15,29,470651592,117475 +754,access-to-basic-services,LineChart,,bf75af77c971a6df7f6f86b2dbb1b54f,access-to-basic-services_v14_850x600.svg,81,90,480609256,653739 +755,share-of-individuals-using-the-internet,LineChart,,0257c39bc59e2c0d562ebef643557d9b,share-of-individuals-using-the-internet_v51_850x600.svg,13,33,521112416,214919 +757,men-weight-categories,StackedArea,,d9941aa77df7bfb5ed33f8b5ed7b8abc,men-weight-categories_v5_850x600.svg,91,102,375445224,677976 +758,share-of-women-defined-as-underweight-healthy-overweight-or-obese,StackedArea,,c1edd7a80621f50d3d9dc8a8d2db68fe,share-of-women-defined-as-underweight-healthy-overweight-or-obese_v5_850x600.svg,92,102,517246648,678217 +761,vaccination-coverage-dpt-by-extreme-poverty,ScatterPlot,,5687580f1e224ffb66ecf25d8f0d4e64,vaccination-coverage-dpt-by-extreme-poverty_v40_850x600.svg,623,1099,174719184,2154091 +762,number-of-maternal-deaths,map,,2e130160b9c29dfefe02d7a8a2364ee0,number-of-maternal-deaths_v25_850x600.svg,13,42,158809440,225716 +763,births-registered,map,,e169894dc0e8caffe0dfd7e1dab388b2,births-registered_v20_850x600.svg,3,27,489478568,17155 +765,birth-rate-vs-death-rate,ScatterPlot,,63ee0d91aa5827d75dc68a86c6e69616,birth-rate-vs-death-rate_v29_850x600.svg,349,598,444062848,1742999 +767,international-tourist-trips,map,,bc8aac9f8366c04e76e6abc532bf25fe,international-tourist-trips_v25_850x600.svg,14,37,481658376,152547 +768,cereal-yield,map,,91696540c3ed221979d346092a27a19b,cereal-yield_v16_850x600.svg,17,50,525131432,417378 +769,share-of-women-who-are-smoking,LineChart,,7b50fbdfd770232442aba8973fbc0d17,share-of-women-who-are-smoking_v14_850x600.svg,3,14,152305848,35169 +771,comparing-the-share-of-men-and-women-who-are-smoking,ScatterPlot,,4a45f6610ef4296d10cdd997400a491a,comparing-the-share-of-men-and-women-who-are-smoking_v26_850x600.svg,455,739,339594928,1924834 +772,share-of-men-who-are-smoking,map,,a745dad644f9f8c3409f641598e4d447,share-of-men-who-are-smoking_v14_850x600.svg,4,11,169701760,35799 +773,share-of-adults-who-are-smoking-by-level-of-prosperity,ScatterPlot,,6f17dbf800c7bbf348e39f02a2abcf9c,share-of-adults-who-are-smoking-by-level-of-prosperity_v21_850x600.svg,589,912,613516016,2108226 +775,development-assistance-as-share-of-government-expense,map,,82585f2c0846ddc25fd2940f14c7e57b,development-assistance-as-share-of-government-expense_v9_850x600.svg,3,19,167373112,81944 +776,forest-area-as-share-of-land-area,map,,6073dc584af1c04a8d3c958a8fee247e,forest-area-as-share-of-land-area_v18_850x600.svg,16,72,521475512,328900 +779,share-of-the-labor-force-employed-in-agriculture,map,,c462e255c4b825c1336355a5c2c72397,share-of-the-labor-force-employed-in-agriculture_v12_850x600.svg,10,34,173351368,242535 +780,fertilizer-use-in-kg-per-hectare-of-arable-land,map,,3c192f0ee294905bbb6560fa7b802042,fertilizer-use-in-kg-per-hectare-of-arable-land_v11_850x600.svg,14,46,540163336,345767 +781,value-added-in-the-agricultural-sector-as-of-gdp-vs-gdp-per-capita,ScatterPlot,,9bf433eb4c1ea3c62276b248395e00b6,value-added-in-the-agricultural-sector-as-of-gdp-vs-gdp-per-capita_v18_850x600.svg,531,876,308900336,2377600 +783,share-of-the-population-at-risk-of-catastrophic-expenditure-when-surgical-care-is-required,map,,e3b5dbbd46798bb5cbdf1fe06bef428c,share-of-the-population-at-risk-of-catastrophic-expenditure-when-surgical-care-is-required_v10_850x600.svg,3,17,546031312,72088 +784,carbon-emission-intensity-vs-gdp-per-capita,ScatterPlot,,1a9108499222b56778ebd69c6c96745e,carbon-emission-intensity-vs-gdp-per-capita_v21_850x600.svg,51,109,268401200,431047 +785,share-of-land-area-used-for-agriculture,LineChart,,0f0c0d38fa6e2ae603ccb5d5f6c9c8a7,share-of-land-area-used-for-agriculture_v11_850x600.svg,24,52,861239544,419332 +787,change-of-cereal-yield-vs-land-used,LineChart,,6bb97bdbe3c79a0f418bed91d4505693,change-of-cereal-yield-vs-land-used_v7_850x600.svg,66,82,545777768,829711 +789,share-of-land-area-used-for-arable-agriculture,map,,d420a580bca364c254ddc3ba2bc3cb4d,share-of-land-area-used-for-arable-agriculture_v10_850x600.svg,23,61,866258760,415281 +790,share-of-children-underweight,map,,98bfd2ca97b39c0f8f164ab18d40d4da,share-of-children-underweight_v19_850x600.svg,4,21,276749488,38605 +791,extreme-poverty-vs-prevalence-of-underweight-children,ScatterPlot,,c42936b49f308c4bf7e30bf1fc7fb234,extreme-poverty-vs-prevalence-of-underweight-children_v45_850x600.svg,702,1053,229558168,1983522 +792,share-of-children-with-a-weight-too-low-for-their-height-wasting,map,,4ca94c2030c5600202550c9d00c563ef,share-of-children-with-a-weight-too-low-for-their-height-wasting_v25_850x600.svg,3,19,279341480,29323 +794,vitamin-a-supplementation-coverage-rate-children-ages-6-59-months,map,,34e0840635f95073a2437f8b6b525ebe,vitamin-a-supplementation-coverage-rate-children-ages-6-59-months_v14_850x600.svg,5,17,883960464,34628 +796,share-of-households-consuming-iodized-salt,map,,251a4dc97d44e7b3af952f725a385ab7,share-of-households-consuming-iodized-salt_v12_850x600.svg,3,15,277554856,11195 +797,children-who-receive-ors,map,,8b27cc4dbb8ef5bbd1e3a24c779d32d2,children-who-receive-ors_v28_850x600.svg,4,18,872776432,27045 +798,prevalence-of-vitamin-a-deficiency-in-children,map,,9b2fd29ca811fa6f15cd0e669fe091e7,prevalence-of-vitamin-a-deficiency-in-children_v4_850x600.svg,2,9,275266648,4646 +799,prevalence-of-vitamin-a-deficiency-in-pregnant-women,map,,d64c8fc5c7ac1da5bf2719abcdd3b22a,prevalence-of-vitamin-a-deficiency-in-pregnant-women_v11_850x600.svg,2,14,240723400,4571 +800,prevalence-of-night-blindness-in-pre-school-children,map,,859ba850b1f5db970558fb115013e182,prevalence-of-night-blindness-in-pre-school-children_v6_850x600.svg,2,9,290559288,4546 +801,prevalence-of-night-blindness-in-pregnant-women,map,,eccea57781586ea3c0703ac79208c579,prevalence-of-night-blindness-in-pregnant-women_v6_850x600.svg,3,13,888425432,4551 +802,area-meadows-and-pastures,map,,9105945a91f13e80a431b3d84fc547b0,area-meadows-and-pastures_v8_850x600.svg,25,55,245289856,410884 +803,global-hunger-index,map,,c57fbf8f3fd5e2f37d68064ba9942e2b,global-hunger-index_v15_850x600.svg,1,10,686170424,13270 +805,antiretroviral-therapy-coverage-among-people-living-with-hiv,map,,f6a83fcd5a9c17be963689ed76f97858,antiretroviral-therapy-coverage-among-people-living-with-hiv_v17_850x600.svg,4,15,278264168,83098 +807,incidence-of-hiv-the-share-of-new-infections-among-the-previously-uninfected-population-ages-15-49,LineChart,,f23aa221e4bc0fd7e6c7cae5ed3d96b6,incidence-of-hiv-the-share-of-new-infections-among-the-previously-uninfected-population-ages-15-49_v13_850x600.svg,13,25,882264664,164228 +808,number-of-new-hiv-infections-per-year,LineChart,,de6f09a432eed2199aaf5489ac3152f5,number-of-new-hiv-infections-per-year_v16_850x600.svg,21,50,443709176,164253 +809,comparison-of-world-population-projections,LineChart,,ff39e857b6d9188b5a77dc0e7763ead0,comparison-of-world-population-projections_v31_850x600.svg,305,315,740999384,3117453 +810,global-hidden-hunger-index-in-pre-school-children,map,,b44685ca2380817fd8522e4033f25a27,global-hidden-hunger-index-in-pre-school-children_v16_850x600.svg,3,19,883529376,4232 +811,prevalence-of-hiv-percentage-of-males-and-females-ages-15-24-infected-with-hiv,ScatterPlot,,14793750aafc0e9748a3c4be1e8fd8a3,prevalence-of-hiv-percentage-of-males-and-females-ages-15-24-infected-with-hiv_v20_850x600.svg,464,738,387841400,2104271 +812,global-prevalence-of-zinc-deficiency,map,,9135e101dbc6b4db83768c0826fc0e9d,global-prevalence-of-zinc-deficiency_v7_850x600.svg,2,14,246995072,21098 +814,hidden-hunger-index-vs-extreme-poverty,ScatterPlot,,502e161397ee166a040b8c65ab3f48eb,hidden-hunger-index-vs-extreme-poverty_v46_850x600.svg,494,830,233124336,1949149 +823,daily-protein-supply-from-animal-and-plant-based-foods,LineChart,,3e18e1fe9981758ecc6a5a122b229ee3,daily-protein-supply-from-animal-and-plant-based-foods_v17_850x600.svg,72,81,219626536,832399 +825,daily-protein-supply-of-animal-origin-vs-plant-origin,ScatterPlot,,b46547b4fc0288c0e5124dc63db6820b,daily-protein-supply-of-animal-origin-vs-plant-origin_v16_850x600.svg,624,970,1007875336,2686265 +826,animal-protein-vs-gdp,ScatterPlot,,9362d125aa2239b76e720c0e7a0faff2,animal-protein-vs-gdp_v28_850x600.svg,136,252,269808752,644539 +827,women-participating-in-decisionmaking-vs-fertility,ScatterPlot,,d06539920b6677f90a49fd0c2e285f3b,women-participating-in-decisionmaking-vs-fertility_v37_850x600.svg,499,792,331162928,2412616 +828,global-living-planet-index,LineChart,,300a5361e46907b902c91b3103b79bb2,global-living-planet-index_v21_850x600.svg,6,18,338825120,36000 +834,share-of-women-among-the-population-living-with-hiv,map,,5edfc6475093badd8a3a9a3922436ebe,share-of-women-among-the-population-living-with-hiv_v16_850x600.svg,9,25,355622072,159806 +835,coefficient-of-variation-cv-in-per-capita-caloric-intake,map,,e481ed598077d15cedfd3644555db4a9,coefficient-of-variation-cv-in-per-capita-caloric-intake_v7_850x600.svg,4,15,342585680,110157 +836,coefficient-of-variation-in-caloric-consumption-vs-gdp-per-capita,ScatterPlot,,80f2c0455b544b805a8ce114fda17499,coefficient-of-variation-in-caloric-consumption-vs-gdp-per-capita_v26_850x600.svg,512,934,153200760,2182697 +838,daily-per-capita-protein-supply-vs-gdp-per-capita,ScatterPlot,,5529c7fbfacec29aa65d1422f9c590fb,daily-per-capita-protein-supply-vs-gdp-per-capita_v23_850x600.svg,521,913,404842816,2488065 +841,daily-per-capita-fat-supply-vs-gdp-per-capita,ScatterPlot,,788230cbba5d8f3a9b601c840252d24e,daily-per-capita-fat-supply-vs-gdp-per-capita_v31_850x600.svg,569,948,866780352,2489396 +842,daily-per-capita-supply-of-calories-vs-gdp-per-capita,ScatterPlot,,d48124783bcd0fafe389a6d3bd5df9cf,daily-per-capita-supply-of-calories-vs-gdp-per-capita_v35_850x600.svg,699,1103,776476472,2494861 +844,share-of-population-with-improved-sanitation-faciltities,map,,73494eaee30fe1d0a8eaf7162d0c65dc,share-of-population-with-improved-sanitation-faciltities_v17_850x600.svg,13,40,182957480,185399 +845,womens-educational-attainment-vs-fertility,ScatterPlot,,a28affe03e3a67b1463881ea5b2f5065,womens-educational-attainment-vs-fertility_v29_850x600.svg,540,825,304958496,2532531 +848,prevalence-of-undernourishment-vs-daily-supply-of-calories,ScatterPlot,,44afb4aa387dc9e21e2c164894095362,prevalence-of-undernourishment-vs-daily-supply-of-calories_v15_850x600.svg,107,189,344343976,552060 +849,hubberts-peak-vs-actual-oil-production-in-the-united-states,LineChart,,300a19280a95ebfa1ef0d46a8903f6c3,hubberts-peak-vs-actual-oil-production-in-the-united-states_v10_850x600.svg,3,14,342063640,8198 +851,world-crude-oil-price-vs-oil-consumption,ScatterPlot,,cab577e23a7f8502407dd2f052028004,world-crude-oil-price-vs-oil-consumption_v28_850x600.svg,543,866,483548776,2054247 +852,daily-caloric-supply-derived-from-carbohydrates-protein-and-fat,StackedArea,,c6c6ec3b95315bc9276e2cb60f35d77d,daily-caloric-supply-derived-from-carbohydrates-protein-and-fat_v9_850x600.svg,218,234,425902528,1683946 +853,share-of-dietary-energy-supply-from-carbohydrates-vs-gdp-per-capita,ScatterPlot,,52b9fa8d52d693f71d930c3a684d400a,share-of-dietary-energy-supply-from-carbohydrates-vs-gdp-per-capita_v25_850x600.svg,576,997,362292416,2493607 +855,share-of-dietary-energy-derived-from-protein-vs-gdp-per-capita,ScatterPlot,,c866e1fdca2438776e5d9c978c00b98b,share-of-dietary-energy-derived-from-protein-vs-gdp-per-capita_v24_850x600.svg,499,861,468898160,2498226 +856,share-of-dietary-energy-supply-from-fats-vs-gdp-per-capita,ScatterPlot,,5c5ccf6df46f9fee5fa5b41b178fad7b,share-of-dietary-energy-supply-from-fats-vs-gdp-per-capita_v23_850x600.svg,679,1036,233626152,2498721 +857,incidence-of-child-labor-in-the-united-states-1890-1930,LineChart,,d9ac9d04cdcffea789a614b5bd26a8f1,incidence-of-child-labor-in-the-united-states-1890-1930_v10_850x600.svg,1,7,240061496,1590 +858,female-labor-force-participation-oecd,LineChart,,238d2e6609429c853891d52ecb5e4674,female-labor-force-participation-oecd_v13_850x600.svg,3,17,1021230928,49473 +859,number-of-children-newly-infected-with-hiv,map,,d95f37fd13e25fb2f774ffa0b2e9e5ac,number-of-children-newly-infected-with-hiv_v13_850x600.svg,4,16,247568416,86662 +861,children-living-with-hiv,map,,32144831de63b4dc0ef0b8b2567e0d97,children-living-with-hiv_v16_850x600.svg,7,24,1028279424,91678 +863,dietary-composition-by-country,StackedArea,,e0cffab5a91f26b4a52122cb52ad5604,dietary-composition-by-country_v10_850x600.svg,1497,1533,334788888,9955899 +864,dietary-compositions-by-commodity-group,StackedArea,,ffac3d1cbfa567efc2ebdfb15f966d0c,dietary-compositions-by-commodity-group_v6_850x600.svg,743,762,215303440,4109755 +865,who-regions,map,,c45163a2b04efc12a75de46f97e9a938,who-regions_v11_850x600.svg,4,16,151979952,7093 +867,u5mr-vs-2019,SlopeChart,,51abf9573d783e7c4f7d6364a1ebbdbc,u5mr-vs-2019_v44_850x600.svg,43,70,425233232,467774 +868,agriculture-value-added-per-worker-vs-gdp-per-capita,ScatterPlot,,983bd4e39fb25dc21719a7ab8639fbe3,agriculture-value-added-per-worker-vs-gdp-per-capita_v20_850x600.svg,569,934,286932672,2380705 +872,key-crop-yields,LineChart,,2646c234625e677d65bd32cdb5b1802a,key-crop-yields_v12_850x600.svg,321,353,920402920,3116210 +873,ratio-of-female-to-male-labor-force-participation-rates-ilo-wdi,map,,44b6d03b386530778e9399aa345f3a5a,ratio-of-female-to-male-labor-force-participation-rates-ilo-wdi_v14_850x600.svg,9,27,308217856,212164 +874,ratio-of-female-to-male-labor-force-participation-rates-slopes,SlopeChart,,52f2b8dc1249cae45e819b6ca49c1ed8,ratio-of-female-to-male-labor-force-participation-rates-slopes_v19_850x600.svg,24,54,428753680,162870 +875,female-labor-force-participation-rates-slopes,SlopeChart,,1415337a7babd2a4961cd118806278b4,female-labor-force-participation-rates-slopes_v20_850x600.svg,31,60,301068728,151800 +878,rice-yields,map,,81d91e09cc9798b2f3823fc910caeac8,rice-yields_v14_850x600.svg,14,33,441651568,308702 +879,wheat-yields,map,,9029a94cd153ee5636cb176d27496f01,wheat-yields_v15_850x600.svg,13,48,317002480,301870 +880,potato-yields,map,,b220f6f9f7522a2f68ed375837d1596a,potato-yields_v12_850x600.svg,21,64,454216072,363694 +881,soybean-yields,map,,658dc709394bcb3957c9f5fd1274833b,soybean-yields_v12_850x600.svg,22,44,320108264,230420 +886,sugar-cane-yields,map,,149de030e5243805eabb8e3ebc177a1e,sugar-cane-yields_v11_850x600.svg,30,64,784151744,274038 +888,rapeseed-yields,map,,b412809f20c234896d94694230535fa5,rapeseed-yields_v10_850x600.svg,6,20,329766520,165848 +890,maize-yields,map,,1bc131b06c4629897ec3321de51ef6be,maize-yields_v15_850x600.svg,19,90,493634168,385780 +891,cocoa-bean-yields,map,,a10a49abb0b15d43f26ab376e16a2e24,cocoa-bean-yields_v11_850x600.svg,6,21,452013088,175891 +893,tomato-yields,map,,bbd9a42d771a059b12a8b1bc68a15482,tomato-yields_v15_850x600.svg,21,64,795220776,378127 +912,long-term-energy-transitions,StackedArea,,36584b1c2d8aeaa34d6a293f3705e409,long-term-energy-transitions_v8_850x600.svg,56,86,461680176,384492 +913,fertility-and-wanted-fertility,LineChart,,0c9920864fa539462e5293fbd10e7c55,fertility-and-wanted-fertility_v18_850x600.svg,36,55,325429800,417141 +914,fertility-vs-wanted-fertility,ScatterPlot,,2f876697cfee3115407f01897fe02a1d,fertility-vs-wanted-fertility_v23_850x600.svg,582,917,1035736896,2271007 +920,gdp-vs-manufacturing-employment,ScatterPlot,,1724b6e108c9c106f159e2cd39155de3,gdp-vs-manufacturing-employment_v28_850x600.svg,1269,2160,517672072,2576273 +923,gdp-vs-manufacturing-gdp,ScatterPlot,,3e5885b080f83f606065a6cb23604135,gdp-vs-manufacturing-gdp_v28_850x600.svg,1286,2196,486818784,2588824 +924,gdp-vs-agriculture-gdp,ScatterPlot,,1985ef4269f4c90ff204679c25303257,gdp-vs-agriculture-gdp_v32_850x600.svg,1235,2253,330770648,2587791 +925,gdp-vs-services-gdp,ScatterPlot,,d1d7eda1652355c7ddce0f53d4d13c11,gdp-vs-services-gdp_v28_850x600.svg,1400,2205,516617120,2588856 +926,gdp-vs-agriculture-employment,ScatterPlot,,9034349c8d5c98033cff26485cdf0663,gdp-vs-agriculture-employment_v25_850x600.svg,1359,2484,302030592,2749471 +927,gdp-vs-services-employment,ScatterPlot,,e55bcd2d22aa03924961ab1439739625,gdp-vs-services-employment_v27_850x600.svg,1451,2400,520019280,2576519 +928,mean-body-mass-index-bmi-in-adult-women,map,,bffb54c4a71c6c79a8edd92a3e9f1136,mean-body-mass-index-bmi-in-adult-women_v8_850x600.svg,18,41,227864304,313193 +929,mean-body-mass-index-bmi-in-adult-males,map,,f501a2cff0e19c29cb2d01e97320e5b9,mean-body-mass-index-bmi-in-adult-males_v9_850x600.svg,12,31,236328104,313170 +930,share-of-adult-men-overweight-or-obese-vs-daily-supply-of-calories,ScatterPlot,,e940774391cacf28ff18cd91adb6273d,share-of-adult-men-overweight-or-obese-vs-daily-supply-of-calories_v20_850x600.svg,658,1088,393417096,2503236 +932,fertility-vs-child-mortality,ScatterPlot,,8b5675761967e02e1fd6c997a773341f,fertility-vs-child-mortality_v26_850x600.svg,597,959,381638120,3000761 +933,prevalence-of-anemia-in-women-of-reproductive-age-aged-15-29,LineChart,,3cc34316b8ffee31f9fe1dab3d45e767,prevalence-of-anemia-in-women-of-reproductive-age-aged-15-29_v13_850x600.svg,6,20,291696256,117255 +935,arable-land-use-per-person,LineChart,,8a16ec41401d51bcd9ac2c9a2358768b,arable-land-use-per-person_v13_850x600.svg,25,41,290457280,431909 +936,hidden-hunger-index-vs-gdp-per-capita,ScatterPlot,,0ffcfe2563bfbad37763b369b2a6ea4f,hidden-hunger-index-vs-gdp-per-capita_v32_850x600.svg,483,761,421459224,2076772 +937,prevalence-of-anemia-in-women-of-reproductive-age-vs-gdp-per-capita,ScatterPlot,,470a11bae8581a1cf3d8b49e47e12bbe,prevalence-of-anemia-in-women-of-reproductive-age-vs-gdp-per-capita_v26_850x600.svg,493,787,1158819568,2189795 +938,share-of-global-habitable-land-needed-for-agriculture-if-everyone-had-the-diet-of,map,,f38bb18bcbed588bbd9430a6d857c20e,share-of-global-habitable-land-needed-for-agriculture-if-everyone-had-the-diet-of_v9_850x600.svg,2,9,351698816,4943 +939,dietary-land-use-vs-beef-consumption,ScatterPlot,,1bf04ca77983af5f5a5740555cc67002,dietary-land-use-vs-beef-consumption_v23_850x600.svg,516,823,462020952,2274061 +945,land-use-vs-yield-change-in-cereal-production,ScatterPlot,,da14a2dfe07433a0ad9119d85bad598f,land-use-vs-yield-change-in-cereal-production_v15_850x600.svg,588,928,202354800,2428193 +946,share-of-urban-population-living-in-slums,map,,72575559863f8e4c6f22e1e04c3e2b80,share-of-urban-population-living-in-slums_v14_850x600.svg,2,12,426846760,33887 +947,obesity-in-men-vs-obesity-in-women,ScatterPlot,,4361cb6a6689f62c1fd53fa5aafba36a,obesity-in-men-vs-obesity-in-women_v23_850x600.svg,68,120,438358408,472344 +948,the-maternal-mortality-ratio-in-2000-and-2017,ScatterPlot,,e671961c22d713283624b9f1e76ab45d,the-maternal-mortality-ratio-in-2000-and-2017_v37_850x600.svg,385,441,477097040,2290069 +949,cereal-land-spared,StackedArea,,d73b9eddea31038fdd6a70707a4af717,cereal-land-spared_v10_850x600.svg,5,18,435325624,35123 +951,global-agricultural-land-use-by-major-crop-type,LineChart,,ee2a8e7269c034aaf3b4d2fb458e7588,global-agricultural-land-use-by-major-crop-type_v7_850x600.svg,2,11,446570912,21837 +952,child-mortality-around-the-world,map,,581ab3264b003ad65f645986034a090e,child-mortality-around-the-world_v37_850x600.svg,43,73,446679384,593325 +958,fao-projections-of-arable-land-to-2050,LineChart,,8ce8c176fb31b12d93369a5420f85ad3,fao-projections-of-arable-land-to-2050_v4_850x600.svg,2,13,1166327808,2144 +960,child-mortality-by-sex,ScatterPlot,,a9787416f46aafda7a5e3815cb241477,child-mortality-by-sex_v32_850x600.svg,636,932,202413984,2750123 +961,child-mortality-line-chart-by-sex,LineChart,,936791886af466891531c0881bd8f06f,child-mortality-line-chart-by-sex_v18_850x600.svg,89,105,1177656008,896257 +965,global-forestry-area-1958-2014,LineChart,,4026810d761635ec0e19c4fa4757fc92,global-forestry-area-1958-2014_v6_850x600.svg,4,20,1172321824,967 +970,children-sleeping-under-treated-bednet,map,,cab96c04a07362d1701717217462c80a,children-sleeping-under-treated-bednet_v17_850x600.svg,1,12,1188402896,8169 +971,malaria-prevalence-vs-gdp-per-capita,ScatterPlot,,e72752003d7cf6a271bde6ed730e85ac,malaria-prevalence-vs-gdp-per-capita_v35_850x600.svg,755,1055,227110608,2279143 +972,food-supply-vs-life-expectancy,ScatterPlot,,31e7401e6578e77b2fa23ee5da2a9be0,food-supply-vs-life-expectancy_v32_850x600.svg,719,1142,645636360,2848887 +973,life-expectancy-of-women-vs-life-expectancy-of-men,ScatterPlot,,1c1ecfa25a64099c751fc3a4631d3ce5,life-expectancy-of-women-vs-life-expectancy-of-men_v34_850x600.svg,324,502,535624448,1754457 +974,agricultural-area-per-capita,LineChart,,0dbd978f20dae06da87226bd1a89f1aa,agricultural-area-per-capita_v9_850x600.svg,19,41,529648528,460243 +975,projections-for-global-peak-agricultural-land,LineChart,,3f201f8243058b152924dc6ffb303704,projections-for-global-peak-agricultural-land_v8_850x600.svg,82,98,493804416,506330 +976,mean-versus-median-monthly-per-capita-expenditure-or-income,ScatterPlot,,cb482ed88d7c18560c5613b5ff78a42e,mean-versus-median-monthly-per-capita-expenditure-or-income_v80_850x600.svg,498,825,668126192,2029644 +979,dietary-land-use-vs-gdp-per-capita,ScatterPlot,,ff2709a54eedf58c0d0f1930233bf245,dietary-land-use-vs-gdp-per-capita_v22_850x600.svg,459,811,157504464,2077483 +980,share-of-energy-from-cereals-roots-and-tubers-vs-gdp-per-capita,ScatterPlot,,64f2a95f94efe7ebfc58853982ccd7ce,share-of-energy-from-cereals-roots-and-tubers-vs-gdp-per-capita_v26_850x600.svg,64,112,341017792,338558 +985,land-use-over-the-long-term,StackedArea,,e2b756e4137991e51220eebc2572d444,land-use-over-the-long-term_v11_850x600.svg,413,431,564540496,2584056 +986,cropland-use-over-the-long-term,StackedArea,,ac3c87ecb872b57ccc5e27f8c00d8786,cropland-use-over-the-long-term_v8_850x600.svg,158,185,230341608,841971 +991,feed-required-to-produce-one-kilogram-of-meat-or-dairy-product,DiscreteBar,,5dd1d8420e9b0dfdbc1c858ee5e3fd18,feed-required-to-produce-one-kilogram-of-meat-or-dairy-product_v3_850x600.svg,1,6,347906568,266 +992,protein-efficiency-of-meat-and-dairy-production,DiscreteBar,,b10b662ef06298660a9fef20ab333ee9,protein-efficiency-of-meat-and-dairy-production_v4_850x600.svg,1,5,354411728,236 +993,energy-efficiency-of-meat-and-dairy-production,DiscreteBar,,39149c5a4a3cef6da001f540f7f40f56,energy-efficiency-of-meat-and-dairy-production_v3_850x600.svg,1,7,344949048,234 +998,real-commodity-price-index-metals,LineChart,,9d89aaa995a6fe98d723591e948cd8ad,real-commodity-price-index-metals_v7_850x600.svg,5,28,355593632,55224 +1000,capture-fishery-production,LineChart,,541ca31d4458712ae79f05de29c3fff3,capture-fishery-production_v20_850x600.svg,20,34,352098688,422499 +1001,tractors-per-100-square-kilometers-of-arable-land,LineChart,,fe92166895f534f2fee8307f8f359830,tractors-per-100-square-kilometers-of-arable-land_v11_850x600.svg,11,31,539413336,220710 +1004,children-per-woman,SlopeChart,,4dcb562b1416178225eaa11c1944b0bc,children-per-woman_v26_850x600.svg,96,185,558118856,563255 +1005,population-density-vs-prosperity,ScatterPlot,,c625b60932813b10851794f1580bd3f2,population-density-vs-prosperity_v30_850x600.svg,817,1480,205166128,3471315 +1006,world-population-projections-by-un-prospects-revision,LineChart,,99d69ddcdda1f33e91e896cd901f0092,world-population-projections-by-un-prospects-revision_v42_850x600.svg,9,19,234278760,4686 +1009,englands-economy-over-the-long-run-gdp-per-capita-vs-population,ScatterPlot,,1667475fc1b73e534f603462959b97bb,englands-economy-over-the-long-run-gdp-per-capita-vs-population_v8_850x600.svg,9,34,238969336,51199 +1010,output-of-key-industries-in-england,LineChart,,c9f1817a72bf09acab313ecd73a99039,output-of-key-industries-in-england_v10_850x600.svg,20,61,523919880,153948 +1012,meat-production-tonnes,map,,1f80d270dac81de937138a9075fc83db,meat-production-tonnes_v18_850x600.svg,17,54,249181296,462437 +1013,global-meat-production-by-livestock-type,StackedArea,,83ef684f43e7b3de374b6c711b5bb122,global-meat-production-by-livestock-type_v14_850x600.svg,315,329,375252944,2206601 +1014,beef-and-buffalo-meat-production-tonnes,map,,49a8104ba85d2b70b1381ec7615cafbb,beef-and-buffalo-meat-production-tonnes_v12_850x600.svg,17,49,223278728,434389 +1015,poultry-production-tonnes,map,,c5346f268156a65f4061d852b5cee2c8,poultry-production-tonnes_v13_850x600.svg,17,59,545241616,438269 +1016,pigmeat-production-tonnes,map,,9cc3e9c702784a6dc46946b12e8b7d15,pigmeat-production-tonnes_v11_850x600.svg,25,57,251972192,403968 +1017,milk-production-tonnes,map,,a947761e33a4c25075944b499cb9ac7b,milk-production-tonnes_v11_850x600.svg,28,60,566063552,431693 +1018,cattle-livestock-count-heads,map,,f68cfa486df0467e6799ae446033c799,cattle-livestock-count-heads_v13_850x600.svg,28,54,222985000,445592 +1019,poultry-livestock-count,map,,030b3c9bd52424f2e908208c64afe526,poultry-livestock-count_v14_850x600.svg,19,53,549894840,463871 +1020,pig-livestock-count-heads,map,,d841f6b34227814596ec78f5b404dd1a,pig-livestock-count-heads_v15_850x600.svg,15,50,579157888,410468 +1022,milk-yields-per-animal,map,,b14ebb1eb17f57e253f6cca4b42895ea,milk-yields-per-animal_v12_850x600.svg,16,52,260698216,395511 +1023,poultry-yields-meat-per-animal,map,,0bc83bfe95230f6a1ec66894701f0eed,poultry-yields-meat-per-animal_v12_850x600.svg,18,65,575366048,427098 +1024,pig-yields-meat-per-animal-in-hectograms-100-grams,map,,0518ee532656fbe3b269f89754577bdd,pig-yields-meat-per-animal-in-hectograms-100-grams_v15_850x600.svg,17,49,240143872,356452 +1025,cattle-meat-yields-hectograms-100-grams-per-animal,map,,e40f3eef2ed04be13e676fca77a2af6b,cattle-meat-yields-hectograms-100-grams-per-animal_v16_850x600.svg,19,55,560813960,396859 +1027,cereal-distribution-to-uses,StackedArea,,201c5559fa4df8bd9b5859e04977c1d2,cereal-distribution-to-uses_v17_850x600.svg,135,153,610081472,1155196 +1029,seafood-and-fish-production-thousand-tonnes,StackedArea,,71b29c281ec4ad473eda934a66c76e6a,seafood-and-fish-production-thousand-tonnes_v12_850x600.svg,310,318,328023000,2276447 +1030,per-capita-meat-consumption-by-type-kilograms-per-year,StackedArea,,63479abc725c383437252939f41b4f28,per-capita-meat-consumption-by-type-kilograms-per-year_v15_850x600.svg,112,126,270932456,2064839 +1031,per-capita-milk-consumption,map,,9cb8b002b973f23230a18e8fc7f7828e,per-capita-milk-consumption_v15_850x600.svg,18,64,591227480,416870 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+1052,commodity-price-index-cereal-crops-and-petroleum,LineChart,,ee9d4a20ced335f8a5c0239c72703834,commodity-price-index-cereal-crops-and-petroleum_v10_850x600.svg,9,47,106159496,17096 +1054,index-of-us-maternal-mortality-and-female-labor-force-participation-flfp,LineChart,,d7d0dfc27b9dd720647f5074098b246b,index-of-us-maternal-mortality-and-female-labor-force-participation-flfp_v5_850x600.svg,2,10,156639320,3946 +1058,number-of-people-employed-in-agriculture,LineChart,,fcfc65c21b310a67d13a0f80c52cbd80,number-of-people-employed-in-agriculture_v9_850x600.svg,14,23,275289432,300334 +1060,output-of-key-industrial-sectors-in-england-and-the-uk,LineChart,,ad45b2eccbf2ef76e363741e859931f3,output-of-key-industrial-sectors-in-england-and-the-uk_v13_850x600.svg,15,33,173296640,90107 +1061,output-of-key-service-and-industrial-sectors-in-england-and-the-uk,LineChart,,9c5f9193b9a27469543eebac906bdc87,output-of-key-service-and-industrial-sectors-in-england-and-the-uk_v9_850x600.svg,21,73,660450224,114113 +1067,share-of-total-energy-used-in-agriculture-and-forestry,LineChart,,34d1d27fc1642d58a4029b02209e5431,share-of-total-energy-used-in-agriculture-and-forestry_v4_850x600.svg,9,21,279717440,139350 +1068,polio-vaccine-coverage-of-one-year-olds,map,,cfc4600b36b5a6ac49d9eae46a4af872,polio-vaccine-coverage-of-one-year-olds_v17_850x600.svg,15,37,406947696,209176 +1070,pesticide-breakdown-by-type,StackedArea,,f01c37faca35ae8d713feee3f08b0352,pesticide-breakdown-by-type_v10_850x600.svg,152,166,208108344,1216305 +1072,fertilizer-production-by-nutrient-type-npk,StackedArea,,694b48e1f1fb3ff8af07e3aa2ebfa4cd,fertilizer-production-by-nutrient-type-npk_v9_850x600.svg,106,118,301109136,590666 +1073,pesticide-use-per-hectare-of-cropland,map,,523c1be02a9e929620516415bebbd67a,pesticide-use-per-hectare-of-cropland_v15_850x600.svg,10,48,347827224,199744 +1077,drug-overdose-death-rates,LineChart,,b463f278ccd98a9173af0121da2b7206,drug-overdose-death-rates_v16_850x600.svg,3,14,648029752,3245 +1080,share-of-food-expenditure-vs-food-expenditure,ScatterPlot,,bef888db3b0bbd64add2ca02b77761cd,share-of-food-expenditure-vs-food-expenditure_v22_850x600.svg,12,33,405623040,43885 +1088,phosphate-application-per-hectare-of-cropland,map,,b5ee7e18507f665782f1215eb7b480c1,phosphate-application-per-hectare-of-cropland_v8_850x600.svg,23,54,653426608,348245 +1089,nitrogen-fertilizer-application-per-hectare-of-cropland,map,,31879f71056d3e70ebdd1dc4ee2558d1,nitrogen-fertilizer-application-per-hectare-of-cropland_v9_850x600.svg,29,75,665332392,360017 +1090,potash-fertilizer-application-per-hectare-of-cropland,map,,35ded6a475fab1a8ac0b2e38e68f2424,potash-fertilizer-application-per-hectare-of-cropland_v9_850x600.svg,17,47,125571840,338150 +1100,fertility-and-female-labor-force-participation,ScatterPlot,,50eace8932be4453763987be9d996b17,fertility-and-female-labor-force-participation_v35_850x600.svg,600,936,547206832,2549551 +1101,grazing-land-use-over-the-long-term,StackedArea,,4c67269711083b9bebf7ff26bcc2d6dd,grazing-land-use-over-the-long-term_v7_850x600.svg,186,322,130259120,838658 +1102,total-agricultural-area-over-the-long-term,StackedArea,,82bab77edc9683fc21da7d788961b074,total-agricultural-area-over-the-long-term_v7_850x600.svg,135,171,363256064,852206 +1103,cropland-per-person-over-the-long-term,LineChart,,f1cff4a7753ede9c57572b786485040c,cropland-per-person-over-the-long-term_v5_850x600.svg,62,90,317462672,879273 +1104,total-agricultural-land-use-per-person,LineChart,,a5f0d9836e21090e69d1ec488555b12b,total-agricultural-land-use-per-person_v14_850x600.svg,88,112,654786064,874674 +1108,global-warming-potential-of-greenhouse-gases-over-100-year-timescale-gwp,DiscreteBar,,eb3cbfb306763551092c90cc15a73659,global-warming-potential-of-greenhouse-gases-over-100-year-timescale-gwp_v8_850x600.svg,1,9,131881696,245 +1109,global-fatalities-from-aviation-accidents-and-hijackings,StackedBar,,fc217ea5986f33d214ff38ae7415f074,global-fatalities-from-aviation-accidents-and-hijackings_v21_850x600.svg,2,24,662792880,4412 +1110,fatal-airliner-accidents-hijacking-incidents,StackedBar,,64bb28c185da610b569954da9564d3a5,fatal-airliner-accidents-hijacking-incidents_v21_850x600.svg,4,17,129744280,4308 +1111,air-passengers-carried,map,,62a1d4c58f39c5a272481ab1265a67ed,air-passengers-carried_v17_850x600.svg,18,55,134870400,261023 +1120,average-height-of-men-by-year-of-birth,LineChart,,2d20e15fa6c95ec43fdda1869c1c51dd,average-height-of-men-by-year-of-birth_v4_850x600.svg,6,17,672808336,45891 +1125,the-decade-of-the-last-recorded-case-of-paralytic-polio-by-country,map,,4ad0145b30e92540d3e963f856bcdd9a,the-decade-of-the-last-recorded-case-of-paralytic-polio-by-country_v14_850x600.svg,2,9,217518656,5996 +1126,the-number-of-reported-paralytic-polio-cases,LineChart,,6eab0aab585fad39ca8d745ac1ddc70f,the-number-of-reported-paralytic-polio-cases_v27_850x600.svg,11,18,672652968,204298 +1127,fruit-consumption-by-fruit-type,StackedArea,,d1126ca3c58287836b42944758fa5405,fruit-consumption-by-fruit-type_v9_850x600.svg,413,440,325132776,4185512 +1129,nitrous-oxide-emissions-by-sector,LineChart,,fb4801d71b74b8d8dbeb966d2b8b62b6,nitrous-oxide-emissions-by-sector_v15_850x600.svg,81,112,332304112,1074737 +1131,cereal-yield-vs-gdp-per-capita,ScatterPlot,,7037ddcd9eaf0ed5971b5c5eb1976ef8,cereal-yield-vs-gdp-per-capita_v26_850x600.svg,672,1130,808287312,2406468 +1133,life-expectancy-at-birth-including-the-un-projections,LineChart,,0a8ce5e10108364d74995eb29be60790,life-expectancy-at-birth-including-the-un-projections_v25_850x600.svg,202,216,174894656,1168536 +1135,decade-in-which-smallpox-ceased-to-be-endemic-by-country,map,,f399f7f57e3967f8a612850f77009b67,decade-in-which-smallpox-ceased-to-be-endemic-by-country_v22_850x600.svg,2,7,669815144,3797 +1140,projections-of-the-number-of-children-per-woman-by-education-scenario,LineChart,,f37670b5f40425c2d88260b448c6b183,projections-of-the-number-of-children-per-woman-by-education-scenario_v13_850x600.svg,2,19,662673336,16885 +1141,average-usual-weekly-hours-worked-women-15-years-and-older,LineChart,,c87043c42bccb176fad2def4b91e6fa7,average-usual-weekly-hours-worked-women-15-years-and-older_v2_850x600.svg,2,13,364741504,34282 +1142,labor-force-participation-rate-female-of-female-population-ages-15-modeled-ilo-estimate-vs-gdp-per-capita,ScatterPlot,,728ef8e5b6db3ba028a4b5b399b37bf0,labor-force-participation-rate-female-of-female-population-ages-15-modeled-ilo-estimate-vs-gdp-per-capita_v32_850x600.svg,622,1018,490965256,2386895 +1144,female-labor-force-participation-rates-by-national-per-capita-income,ScatterPlot,,5951c19c9ddf29d600ff3092985fa4d0,female-labor-force-participation-rates-by-national-per-capita-income_v22_850x600.svg,61,105,679675504,426084 +1147,female-labor-force-participation-rates,LineChart,,1c2ab757e4b9476f3fafca1566dd2d2c,female-labor-force-participation-rates_v20_850x600.svg,11,32,335427416,197725 +1148,female-labor-force-participation-rates-latest-vs-1980,ScatterPlot,,dc39ce47fd92b8df453fd7d93e0205d9,female-labor-force-participation-rates-latest-vs-1980_v28_850x600.svg,877,1331,518742368,2138096 +1149,fertilizer-consumption-per-hectare-vs-gdp-per-capita,ScatterPlot,,ffa7b5506809723582c5eef0c7ec9af9,fertilizer-consumption-per-hectare-vs-gdp-per-capita_v16_850x600.svg,155,274,158162120,588376 +1152,fertilizer-application-rates-over-the-long-run,LineChart,,a70a22a90b68c52d05f6f29d8817f3d7,fertilizer-application-rates-over-the-long-run_v2_850x600.svg,8,16,681020256,92992 +1154,pesticide-use-tonnes,map,,1361dc7ea1a1b2916b1b119b9846611b,pesticide-use-tonnes_v12_850x600.svg,11,23,678516328,238419 +1160,share-primary-school-age-out-of-school,map,,b14523b7c340345378ebd83512c4b953,share-primary-school-age-out-of-school_v33_850x600.svg,18,39,174417648,168565 +1162,female-labor-force-participation-rates-by-family-benefits-public-spending,ScatterPlot,,ae4963d1ac6cb7ec09cdbd644d72392f,female-labor-force-participation-rates-by-family-benefits-public-spending_v21_850x600.svg,515,818,793619536,2066070 +1167,female-employment-to-population-ratio,LineChart,,4bd60a495d482adb0e466977b0c7605d,female-employment-to-population-ratio_v10_850x600.svg,6,14,175328720,118377 +1168,modeled-female-employment-to-population-ratio,LineChart,,fb9381a97e68110936d5e0b47146e29c,modeled-female-employment-to-population-ratio_v10_850x600.svg,9,24,170650328,197653 +1169,female-employment-to-population-ratio-latest-vs-1980,ScatterPlot,,07d7b4a18a64875a5e72fe292370cd93,female-employment-to-population-ratio-latest-vs-1980_v22_850x600.svg,773,1225,376235112,2090620 +1170,universal-suffrage-women-lexical,map,,8eacaf582d6bd63d0e946aef6cb8201f,universal-suffrage-women-lexical_v22_850x600.svg,68,139,344752400,899157 +1177,women-in-informal-employment-as-share-of-female-employment,map,,d1aefdba1e2b0023ec817ebcae0e1aa3,women-in-informal-employment-as-share-of-female-employment_v10_850x600.svg,2,15,162338384,16893 +1178,male-vs-female-informal-employment-as-share-of-total-employment,ScatterPlot,,72528c8b2f17e4ee8d5c01591fcea99f,male-vs-female-informal-employment-as-share-of-total-employment_v18_850x600.svg,504,797,269218312,1900143 +1179,average-daily-time-spent-by-women-on-domestic-work-paid-and-unpaid,map,,8dfbc1b9a6a18ce2d8093b890e52b25e,average-daily-time-spent-by-women-on-domestic-work-paid-and-unpaid_v6_850x600.svg,4,23,209965208,4299 +1180,what-percentage-of-the-us-public-approves-of-working-wives,LineChart,,168c3121b74b0c133ca89c58463168e4,what-percentage-of-the-us-public-approves-of-working-wives_v2_850x600.svg,3,24,334925160,603 +1184,female-to-male-ratio-of-time-devoted-to-unpaid-care-work,DiscreteBar,,1b7eaed99b40f15d48e0001cc1e6631f,female-to-male-ratio-of-time-devoted-to-unpaid-care-work_v5_850x600.svg,3,11,199896400,2004 +1185,female-employment-vs-public-spending-on-family-benefits-oecd,ScatterPlot,,13db53db337a7ea7f09af66da3eb9ce0,female-employment-vs-public-spending-on-family-benefits-oecd_v22_850x600.svg,533,808,309589872,2065998 +1187,reported-paralytic-polio-cases-and-deaths-in-the-united-states-since-1910,LineChart,,d11ab9d1fb1e32ba36185bad0c86a714,reported-paralytic-polio-cases-and-deaths-in-the-united-states-since-1910_v8_850x600.svg,2,20,346349536,5763 +1189,female-and-male-life-expectancy-at-birth-in-years,LineChart,,9800098d969c261e25ae8140d2bac84d,female-and-male-life-expectancy-at-birth-in-years_v19_850x600.svg,158,174,367434848,1145556 +1190,women-can-take-the-same-jobs-as-men,map,,92ce7fb393e985eaf7aca4a39db871a0,women-can-take-the-same-jobs-as-men_v23_850x600.svg,17,35,247827784,260445 +1192,crude-birth-rate,map,,19a5bcc4d4d482c3683b637804ebd57d,crude-birth-rate_v19_850x600.svg,51,78,263690640,571734 +1194,child-mortality-rate-including-un-projections-through-2100,LineChart,,c222b4a0892b484855cc49d8f8836cf4,child-mortality-rate-including-un-projections-through-2100_v28_850x600.svg,207,222,578079632,1209077 +1197,total-alcohol-consumption-per-capita-litres-of-pure-alcohol,map,,8935a3b62afaf05ed18770e3a07111cf,total-alcohol-consumption-per-capita-litres-of-pure-alcohol_v22_850x600.svg,6,16,371011408,31788 +1201,reported-paralytic-polio-cases-per-1-million-people,map,,ba79117f04d46abd77dea14afa3abea4,reported-paralytic-polio-cases-per-1-million-people_v13_850x600.svg,10,37,271869384,219801 +1202,the-number-of-reported-paralytic-polio-cases-by-world-region,StackedArea,,598dd24b8b3133bb25ba0a9a133c5926,the-number-of-reported-paralytic-polio-cases-by-world-region_v12_850x600.svg,33,56,361080024,204298 +1203,child-marriage-prohibited-or-invalidated,map,,9b102bfde1816e2c930dac9dd4bb48f4,child-marriage-prohibited-or-invalidated_v15_850x600.svg,3,11,268334312,14477 +1204,female-genital-mutilation-prevalence,map,,e9d204413d9cdf50acb92f570bf0a01d,female-genital-mutilation-prevalence_v18_850x600.svg,1,12,283180824,2621 +1205,average-working-hours-of-children,DiscreteBar,,c5648fdcf3afed5f576660026cdca68a,average-working-hours-of-children_v10_850x600.svg,2,17,371030056,3922 +1206,working-children-out-of-school-ages-7-14-vs-hours-worked-by-children-ages-7-14,ScatterPlot,,3107cc279eb985d3144e55f3a0ad9239,working-children-out-of-school-ages-7-14-vs-hours-worked-by-children-ages-7-14_v27_850x600.svg,510,820,473928920,1866268 +1210,share-of-the-population-with-basic-numeracy-skills-by-birth-decade,LineChart,,980286056763b165f6cc58c06b9408ab,share-of-the-population-with-basic-numeracy-skills-by-birth-decade_v6_850x600.svg,3,12,273957288,42331 +1211,new-books-per-million,map,,e93a6678a166900f4299e39e53b53783,new-books-per-million_v7_850x600.svg,16,83,589113136,332857 +1212,literacy-rates-of-younger-vs-older-population,ScatterPlot,,cf91faeff104921b601f6ddea115eb9d,literacy-rates-of-younger-vs-older-population_v27_850x600.svg,601,1044,394037792,1938528 +1214,ratio-of-the-literacy-rate-between-young-women-and-men,map,,d02bfa2b0d138a33f73ec926e8fcb308,ratio-of-the-literacy-rate-between-young-women-and-men_v15_850x600.svg,4,29,808257952,56372 +1215,literacy-rate-of-young-men-and-women,ScatterPlot,,eb1e6d11c02ae6d786ec9a2305970dd1,literacy-rate-of-young-men-and-women_v25_850x600.svg,763,1133,210110992,1980543 +1216,duration-of-compulsory-education,map,,42ba07d04e1140895f6b4d18eccdb667,duration-of-compulsory-education_v11_850x600.svg,11,36,496330528,144503 +1217,official-entrance-age-to-compulsory-education,map,,bf0148235d5a48364ff0abf07143d12e,official-entrance-age-to-compulsory-education_v11_850x600.svg,9,33,591621040,142026 +1220,total-net-enrollment-rate-in-primary-education,map,,58fe07ba41fd7712ede72602d499e748,total-net-enrollment-rate-in-primary-education_v16_850x600.svg,13,39,808894640,168236 +1224,share-of-teachers-in-secondary-education-who-are-trained,map,,bafc0342d00c68daaa4b56a1b346b8b1,share-of-teachers-in-secondary-education-who-are-trained_v17_850x600.svg,4,20,497020008,41746 +1225,share-of-teachers-in-primary-education-who-are-trained,map,,55313cb22fcd6f8443e71ce028353b14,share-of-teachers-in-primary-education-who-are-trained_v10_850x600.svg,7,32,596531952,63459 +1227,primary-completion-rate,map,,4fb6722a552e7e1000e44859b67e9148,primary-completion-rate_v15_850x600.svg,10,48,811421880,143986 +1228,pisa-test-score-mean-performance-on-the-mathematics-scale,map,,89fead0313a278d5abdda4665792ede3,pisa-test-score-mean-performance-on-the-mathematics-scale_v29_850x600.svg,9,20,496416056,45044 +1229,pisa-test-score-mean-performance-on-the-reading-scale,map,,bc235b6a0298d2cd93dc87ee5d8499a1,pisa-test-score-mean-performance-on-the-reading-scale_v31_850x600.svg,7,27,597061696,49104 +1231,pisa-mean-performance-on-the-mathematics-scale-by-sex,ScatterPlot,,35a95e9906c86882a4d0af2338171d42,pisa-mean-performance-on-the-mathematics-scale-by-sex_v30_850x600.svg,588,942,927992240,1883924 +1232,pisa-mean-performance-on-the-reading-scale-by-sex,ScatterPlot,,6e68ed8ef1e32434439570e66f180480,pisa-mean-performance-on-the-reading-scale-by-sex_v30_850x600.svg,659,960,170329408,1886626 +1233,technology-adoption-by-households-in-the-united-states,LineChart,,de830c0b0e8c93789234a7c7688c2988,technology-adoption-by-households-in-the-united-states_v23_850x600.svg,3,55,290341512,40822 +1234,children-in-employment-ages-7-14-vs-weekly-hours-worked-by-children-ages-7-14,ScatterPlot,,8fffceb7bf74ed3bbcb395ef613fef1b,children-in-employment-ages-7-14-vs-weekly-hours-worked-by-children-ages-7-14_v20_850x600.svg,570,878,695751320,1866012 +1235,weekly-hours-worked-by-children-7-14-vs-gdp-per-capita-ppp,ScatterPlot,,518121823afd1c1ec27223b500d56d1e,weekly-hours-worked-by-children-7-14-vs-gdp-per-capita-ppp_v21_850x600.svg,517,819,383409400,2076462 +1239,out-of-school-children-of-primary-school-age-by-world-region,StackedArea,,896dd95863ed0ccd7a52ebeeb1f6f693,out-of-school-children-of-primary-school-age-by-world-region_v25_850x600.svg,35,49,320288624,157606 +1240,share-of-the-population-with-a-completed-post-secondary-education,map,,b5036edaead52bce8a095d01512a883d,share-of-the-population-with-a-completed-post-secondary-education_v9_850x600.svg,5,34,531511944,37329 +1241,share-of-the-population-with-completed-tertiary-education,map,,0aacfc76ed9140bcab36d3deda3e2e1e,share-of-the-population-with-completed-tertiary-education_v11_850x600.svg,7,28,325337328,119516 +1243,share-of-the-population-with-at-least-some-secondary-education,map,,c509ce4b3540d9cd681a50c02f21a064,share-of-the-population-with-at-least-some-secondary-education_v12_850x600.svg,6,31,525156752,37341 +1244,gross-enrollment-ratio-in-pre-primary-education,map,,2b0d44d4763331746cea7de6c7f56911,gross-enrollment-ratio-in-pre-primary-education_v15_850x600.svg,12,35,334733888,227253 +1245,gross-enrollment-ratio-in-primary-education,map,,208b008f733975b73029cbd6094b8b3f,gross-enrollment-ratio-in-primary-education_v14_850x600.svg,15,41,385534096,323614 +1247,gross-enrollment-ratio-in-secondary-education,map,,4ec9707356c57a6fa34f881b78577033,gross-enrollment-ratio-in-secondary-education_v20_850x600.svg,15,63,532571800,272679 +1248,gross-enrollment-ratio-in-tertiary-education,LineChart,,202b2b1ca5d88e02ed77767879624096,gross-enrollment-ratio-in-tertiary-education_v19_850x600.svg,19,31,341105040,245933 +1249,average-per-capita-vegetable-intake-vs-minimum-recommended-guidelines,map,,46503c9c387439765dd63da4c922d8c5,average-per-capita-vegetable-intake-vs-minimum-recommended-guidelines_v29_850x600.svg,248,311,439601192,2271437 +1250,average-per-capita-fruit-intake-vs-minimum-recommended-guidelines,map,,c4fe89f3c264f547d13c6118d39b2ae3,average-per-capita-fruit-intake-vs-minimum-recommended-guidelines_v27_850x600.svg,300,361,390063112,2489130 +1251,prevalence-of-polio-rates-in-the-united-states,LineChart,,caa6036599aa27572317150088cd39b1,prevalence-of-polio-rates-in-the-united-states_v9_850x600.svg,3,31,526926960,7036 +1253,percentage-of-children-214-who-experience-violent-discipline-at-home,DiscreteBar,,c20d8701a3da38e8fda4b61b5311ca1c,percentage-of-children-214-who-experience-violent-discipline-at-home_v4_850x600.svg,2,13,536773544,1997 +1254,children-who-experience-violent-discipline-vs-gdp-per-capita,ScatterPlot,,0b2b71aa4e90f16ca1988ae95884d96c,children-who-experience-violent-discipline-vs-gdp-per-capita_v25_850x600.svg,599,1211,141682024,2074537 +1255,children-who-experience-violent-discipline-boys-vs-girls,ScatterPlot,,9ee3a0bd24ba15f5e6653501a011e434,children-who-experience-violent-discipline-boys-vs-girls_v16_850x600.svg,598,971,249023528,1857114 +1256,percentage-of-girls-15-to-19-who-report-having-been-victims-of-sexual-abuse,DiscreteBar,,e85a35eec5b505623d9ae798bb0abbb1,percentage-of-girls-15-to-19-who-report-having-been-victims-of-sexual-abuse_v5_850x600.svg,1,11,432430696,1108 +1257,world-bank-income-groups,map,,e089f52851acbe4d782b494f488d3357,world-bank-income-groups_v24_850x600.svg,12,26,363027632,391868 +1261,global-fossil-fuel-consumption,StackedArea,,7a08bade95b65d7e9e7804eaa79cce2e,global-fossil-fuel-consumption_v17_850x600.svg,3,14,384131008,7537 +1262,fixed-telephone-subscriptions-per-100-people,map,,acf7891edbc41698ea2db996afc91723,fixed-telephone-subscriptions-per-100-people_v16_850x600.svg,20,54,405205256,408549 +1263,mobile-cellular-subscriptions-per-100-people,map,,610220476dbb5f4eb1127742f293b0b2,mobile-cellular-subscriptions-per-100-people_v25_850x600.svg,13,42,403145880,334139 +1270,registered-vehicles-per-1000-people,map,,372656e88cfca117b36355409a3a48e5,registered-vehicles-per-1000-people_v7_850x600.svg,2,14,109364920,5379 +1273,efficiency-of-lighting-in-the-united-kingdom-lumen-hours-per-kilowatt-hour,LineChart,,2f95a8bd7f3a0439cb843d6996953d20,efficiency-of-lighting-in-the-united-kingdom-lumen-hours-per-kilowatt-hour_v10_850x600.svg,2,9,368721832,255 +1274,labor-force-participation-rates-for-women-ages-15-24-2020-vs-1980,ScatterPlot,,c3b511fcecec1f0338187931d35c1acd,labor-force-participation-rates-for-women-ages-15-24-2020-vs-1980_v20_850x600.svg,914,1364,559437464,2105060 +1276,market-share-of-household-salt-with-iodine-fortification-europe,DiscreteBar,,c764abf9dfdf7aa7c174f779f403f5aa,market-share-of-household-salt-with-iodine-fortification-europe_v2_850x600.svg,2,8,413695192,679 +1277,life-expectancy-at-birth-vs-co-emissions-per-capita,ScatterPlot,,02bf81c1157d0983e8a4d24f1d3c5172,life-expectancy-at-birth-vs-co-emissions-per-capita_v21_850x600.svg,174,311,423379488,796208 +1278,employment-in-the-coal-industry-in-the-united-kingdom,LineChart,,dda043ea4092e753b9be2e30c7df65ae,employment-in-the-coal-industry-in-the-united-kingdom_v6_850x600.svg,1,11,99848672,2970 +1281,coal-output-per-worker-in-the-united-kingdom,LineChart,,72d188f3373ea4213f32ae7bd650bd9f,coal-output-per-worker-in-the-united-kingdom_v4_850x600.svg,2,10,404035888,3732 +1282,share-of-the-workforce-employed-in-the-coal-industry-united-kingdom,LineChart,,d951b82ccf2ba7f945f90aecd748a8a5,share-of-the-workforce-employed-in-the-coal-industry-united-kingdom_v5_850x600.svg,2,9,109100920,2976 +1289,maternal-mortality-vs-female-labor-force-participation,ScatterPlot,,5731f4cc5c60e0fcb5102a111f8e889f,maternal-mortality-vs-female-labor-force-participation_v22_850x600.svg,441,769,482710856,2118034 +1290,world-regions-according-to-the-world-bank,map,,cf33c6b7d585f444b1e31b4adc240a7c,world-regions-according-to-the-world-bank_v6_850x600.svg,3,16,698465448,10640 +1294,annual-number-of-deaths-by-world-region,StackedArea,,c1f18ed9b8178a332849bf5981cdfce4,annual-number-of-deaths-by-world-region_v26_850x600.svg,124,147,402634240,570908 +1296,annual-number-of-births-by-world-region,StackedArea,,68024ba7b91effb2facc743743c9f5df,annual-number-of-births-by-world-region_v19_850x600.svg,145,167,131622376,561999 +1297,births-and-deaths-projected-to-2100,LineChart,,3bfe4d27cf8e50f94a37b03a16d6202d,births-and-deaths-projected-to-2100_v30_850x600.svg,595,609,129437040,2313151 +1305,numeracy-vs-literacy-skills-of-adults,ScatterPlot,,d26bb7ffe0d650b3246e50ac6e03ad5b,numeracy-vs-literacy-skills-of-adults_v19_850x600.svg,626,884,790049952,1855963 +1306,numeracy-skills-of-adults-young-adults-and-adults,ScatterPlot,,d4a9e3ff2e75ada0443d689c24ae4ffe,numeracy-skills-of-adults-young-adults-and-adults_v21_850x600.svg,596,872,261381712,1855957 +1312,hadcrut-surface-temperature-anomaly,map,,c853b1cb27bdf827c5fcd690972f53a5,hadcrut-surface-temperature-anomaly_v12_850x600.svg,68,167,221679656,855386 +1317,inequality-of-incomes-before-and-after-taxes-and-transfers-scatter,ScatterPlot,,fd5c977822175d1640cad9df036ad45e,inequality-of-incomes-before-and-after-taxes-and-transfers-scatter_v59_850x600.svg,254,302,447893160,1886941 +1322,annual-salary-of-primary-teachers-with-10-years-of-experience,map,,fc8b8565f65ef116b96b3aac534f7f4c,annual-salary-of-primary-teachers-with-10-years-of-experience_v9_850x600.svg,1,10,133913224,10620 +1323,share-of-primary-school-teachers-who-are-female,map,,cfc202b9a31d751bf359d08bce62454a,share-of-primary-school-teachers-who-are-female_v11_850x600.svg,14,37,141412696,230393 +1324,share-of-secondary-school-teachers-who-are-female,map,,d205f4d138fa7db0502d7735b83d73fd,share-of-secondary-school-teachers-who-are-female_v11_850x600.svg,8,31,226606384,180653 +1325,share-of-teachers-in-tertiary-education-who-are-female,map,,3218fbfdb6560dd6d46cbf811c89f943,share-of-teachers-in-tertiary-education-who-are-female_v12_850x600.svg,7,31,431980696,151897 +1326,share-of-teachers-who-are-female-in-primary-vs-tertiary-education,ScatterPlot,,ed56738554159f6077345c3741d38bfb,share-of-teachers-who-are-female-in-primary-vs-tertiary-education_v22_850x600.svg,599,942,273743544,2236156 +1327,share-enrolled-in-private-institutions-at-the-pre-primary-education-level,map,,091fba5216277a0643b1d26c8ad54b06,share-enrolled-in-private-institutions-at-the-pre-primary-education-level_v12_850x600.svg,9,35,236032176,215095 +1328,share-of-students-from-abroad,map,,7f633bd82fc524e22192e211132cfff8,share-of-students-from-abroad_v23_850x600.svg,5,21,439427240,84951 +1329,share-of-students-studying-abroad,map,,e503f246245bf5b97fdd871b40c23196,share-of-students-studying-abroad_v17_850x600.svg,8,26,445244104,111468 +1331,share-of-women-15-years-and-older-with-no-education,map,,0814e00282af8db715659b7fc970b350,share-of-women-15-years-and-older-with-no-education_v9_850x600.svg,6,31,239211000,122663 +1333,share-of-population-15-years-and-older-with-no-education,map,,f33dcd8c2cf6b5e0893ea57cbd6e95be,share-of-population-15-years-and-older-with-no-education_v15_850x600.svg,7,25,252090104,122604 +1334,fertility-rate-vs-share-of-women-between-25-and-29-years-old-with-no-education,ScatterPlot,,c348cb7684317111fed04004350b99cf,fertility-rate-vs-share-of-women-between-25-and-29-years-old-with-no-education_v36_850x600.svg,672,1247,155781576,2530116 +1337,precentage-enrolled-in-private-institutions-at-the-primary-education-level,map,,dbbc61e347c224774ee317a0abc730b7,precentage-enrolled-in-private-institutions-at-the-primary-education-level_v13_850x600.svg,12,37,461089776,232987 +1340,staff-compensation-as-share-of-total-expenditure-in-public-education-all-levels,map,,3b4f6d73cc28849e98d44830ec1c15a8,staff-compensation-as-share-of-total-expenditure-in-public-education-all-levels_v12_850x600.svg,10,68,253291480,52183 +1341,official-entrance-age-to-pre-primary-education,map,,cf9b0732f847d65e3e7c82996d55d229,official-entrance-age-to-pre-primary-education_v15_850x600.svg,21,48,473209032,298095 +1342,duration-of-pre-primary-education,map,,f9188a7eb43f7d1be4b182aacd1058e9,duration-of-pre-primary-education_v22_850x600.svg,17,47,249935224,298095 +1345,government-expenditure-on-pre-primary-education-as-share-of-gdp,map,,c8986efcebd62b5aa79177c6bace1647,government-expenditure-on-pre-primary-education-as-share-of-gdp_v17_850x600.svg,8,40,134886120,104501 +1346,pupil-teacher-ratio-in-pre-primary-education,map,,f9997e9332783731812d3420863a1bf5,pupil-teacher-ratio-in-pre-primary-education_v14_850x600.svg,3,17,254630344,29323 +1347,out-of-school-girls-of-primary-school-age-by-world-region,StackedArea,,3ef1436c047ba8d1e2c77235fb5d4a56,out-of-school-girls-of-primary-school-age-by-world-region_v26_850x600.svg,34,43,259611048,123515 +1349,livestock-counts,LineChart,,c50acf722cc248fddeee42fe3751dc5d,livestock-counts_v3_850x600.svg,10,28,468530872,162835 +1350,number-of-parties-env-agreements,LineChart,,063e94b710b6af01e86a7e852277cc3c,number-of-parties-env-agreements_v7_850x600.svg,3,19,252355536,16532 +1354,share-of-employed-women-working-in-agriculture-vs-gdp-per-capita,ScatterPlot,,207693407bc976249643480f38ef69bf,share-of-employed-women-working-in-agriculture-vs-gdp-per-capita_v19_850x600.svg,577,942,261798848,2286853 +1355,global-hunger-index-vs-gdp-per-capita,ScatterPlot,,e4de9ce31836cc8637c8d9b7113c0640,global-hunger-index-vs-gdp-per-capita_v31_850x600.svg,603,1018,224591624,2085810 +1356,coal-consumption-by-region,StackedArea,,4c328b55c33b1f118c5958701c855cd6,coal-consumption-by-region_v22_850x600.svg,34,42,250789552,184417 +1357,oil-consumption-by-region-terawatt-hours-twh,StackedArea,,12fc20f58cdddf0d67c4a773f316a390,oil-consumption-by-region-terawatt-hours-twh_v22_850x600.svg,47,62,249727480,195321 +1358,natural-gas-consumption-by-region,StackedArea,,6465f01c05bb037357c6376da050c4ab,natural-gas-consumption-by-region_v22_850x600.svg,29,42,487253816,176618 +1359,coal-production-by-region,StackedArea,,8c0ebbe11223ee662b686235d65f154c,coal-production-by-region_v18_850x600.svg,9,31,146788592,77234 +1360,oil-production-by-region,StackedArea,,2c5b66f1bf53c1b015957fddf9e2429e,oil-production-by-region_v19_850x600.svg,12,24,258931648,133473 +1361,natural-gas-production-by-region-terawatt-hours-twh,StackedArea,,56441737d3f55655d99c6f5ea3162cb3,natural-gas-production-by-region-terawatt-hours-twh_v19_850x600.svg,25,36,259405664,121604 +1362,coal-reserves-by-type,DiscreteBar,,c6bf0f3a73c08223bbfcf39759e7a6b4,coal-reserves-by-type_v13_850x600.svg,2,7,494224224,3267 +1364,fertility-rate-vs-mean-years-of-schooling,ScatterPlot,,6def0063dcc97d116ca7dde762b40783,fertility-rate-vs-mean-years-of-schooling_v22_850x600.svg,978,1595,426331576,3727585 +1366,carbon-dioxide-emissions-factor,DiscreteBar,,e10942f64d3b6a640707cb3a83ce0a86,carbon-dioxide-emissions-factor_v8_850x600.svg,3,8,266691296,1840 +1367,diabetes-prevalence-vs-gdp-per-capita,ScatterPlot,,2d063c3afecad7668ba9249ea54cbab4,diabetes-prevalence-vs-gdp-per-capita_v22_850x600.svg,46,101,502330408,241434 +1368,crude-oil-spot-prices,LineChart,,8251e904ee0a5513a389367086f873fc,crude-oil-spot-prices_v17_850x600.svg,1,25,259774136,7068 +1369,coal-prices,LineChart,,2167e62e85f8ec4c095f130baefbacff,coal-prices_v16_850x600.svg,1,12,254346256,5180 +1370,natural-gas-prices,LineChart,,908120caee3ce92674756164e367d03e,natural-gas-prices_v26_850x600.svg,1,8,268037552,3738 +1371,unmet-need-for-contraception-share-of-married-women-of-reproductive-age,map,,99b020d9fc2f00b8a4e079a5d0d67c69,unmet-need-for-contraception-share-of-married-women-of-reproductive-age_v15_850x600.svg,2,15,260215184,19987 +1372,share-of-women-using-modern-contraceptive-methods,map,,0b655a7b7cf744b785e377d463edde67,share-of-women-using-modern-contraceptive-methods_v17_850x600.svg,3,29,264636192,34337 +1373,contraceptive-prevalence-any-methods-of-women-ages-15-49,map,,9ef922a93b29fa47aa4c1e1485bee832,contraceptive-prevalence-any-methods-of-women-ages-15-49_v10_850x600.svg,3,22,266858616,36068 +1374,contraceptive-prevalence-any-methods-vs-modern-methods,ScatterPlot,,3490073c092b0510f8d50ea2c1b9c36e,contraceptive-prevalence-any-methods-vs-modern-methods_v20_850x600.svg,128,234,805218096,80090 +1375,share-of-married-women-ages-15-49-years-whose-need-for-family-planning-is-satisfied,map,,7d3a85c6c7e5480e171fa6d941203bf3,share-of-married-women-ages-15-49-years-whose-need-for-family-planning-is-satisfied_v18_850x600.svg,4,18,263622240,21618 +1376,coal-production-by-country,LineChart,,f76035ca211e389a77388569658fa015,coal-production-by-country_v19_850x600.svg,39,61,267715896,503517 +1377,coal-consumption-by-country-terawatt-hours-twh,map,,b61b7248a4c0bc805a5898cbc032d06a,coal-consumption-by-country-terawatt-hours-twh_v21_850x600.svg,9,23,510805624,184417 +1378,fossil-fuel-consumption-by-fuel-type,StackedArea,,bb9f74bee608298275d5601bf585460a,fossil-fuel-consumption-by-fuel-type_v21_850x600.svg,31,42,257170496,556356 +1379,oil-production-by-country,LineChart,,234023e61a8a59048cc365d844249f80,oil-production-by-country_v20_850x600.svg,52,67,265834232,526840 +1380,oil-consumption-by-country,map,,70829d24ced297b9c35f19a94ac02149,oil-consumption-by-country_v17_850x600.svg,9,21,514561176,195321 +1381,gas-production-by-country,LineChart,,3b14aa1041b688ecd9535c7b53d357fc,gas-production-by-country_v18_850x600.svg,51,60,274956552,497008 +1382,gas-consumption-by-country,map,,2e9912337946b8cabaf86b827bbbd25c,gas-consumption-by-country_v25_850x600.svg,5,16,269191688,176618 +1383,progress-towards-polio-eradication,map,,38ee666ba0a87711aef70803e2a07b23,progress-towards-polio-eradication_v15_850x600.svg,55,108,519337616,967222 +1385,coal-consumption-per-capita,map,,845c91086550a09cbd747628406ff56d,coal-consumption-per-capita_v19_850x600.svg,7,18,272750632,156451 +1390,fossil-fuel-consumption-per-capita,StackedArea,,da7b5ea4d8b37d8358aeb036643928f5,fossil-fuel-consumption-per-capita_v26_850x600.svg,33,43,267448552,474177 +1392,price-per-kg-of-gold,LineChart,,9815a7612593d6d1a304ff4ab6b1a7d5,price-per-kg-of-gold_v4_850x600.svg,1,11,266074048,6713 +1395,coal-production-per-capita-over-the-long-term,LineChart,,e67dfdb92957fe311803579bd137c111,coal-production-per-capita-over-the-long-term_v3_850x600.svg,10,21,271537440,198030 +1396,fossil-fuel-production-per-capita,StackedArea,,f6d78ff7e43f82112d508995a402278c,fossil-fuel-production-per-capita_v3_850x600.svg,176,192,290276824,605514 +1397,fossil-fuel-production-over-the-long-term,StackedArea,,f550110e08680d8ecf1f2de68f213e24,fossil-fuel-production-over-the-long-term_v3_850x600.svg,142,156,293149088,633563 +1399,modern-renewable-energy-consumption,StackedArea,,3fe63a2283db42263e67e2f8e6d40ea1,modern-renewable-energy-consumption_v25_850x600.svg,46,54,279030624,615132 +1400,biofuel-production,map,,75b6f826979eac091bdf436fc5442323,biofuel-production_v16_850x600.svg,4,13,805320248,39675 +1401,biofuels-production-by-region,StackedArea,,17df989378d60a4b27be4dac1081ddbe,biofuels-production-by-region_v15_850x600.svg,5,18,515061320,39675 +1402,solar-energy-consumption-by-region,StackedArea,,1f17f62822e251c1362fa85e1ad54454,solar-energy-consumption-by-region_v18_850x600.svg,21,32,273071872,140327 +1403,solar-energy-consumption,map,,f02edd1e54066a3d8e47384ce2cdfea2,solar-energy-consumption_v30_850x600.svg,11,37,526563024,225386 +1404,solar-pv-energy-consumption-vs-solar-pv-capacity,ScatterPlot,,58fa25e5c43724f29a9579ce4549cb8e,solar-pv-energy-consumption-vs-solar-pv-capacity_v16_850x600.svg,78,147,831164872,296008 +1405,installed-solar-pv-capacity,LineChart,,3cb6210eb8cabf25e78b56866c761daa,installed-solar-pv-capacity_v16_850x600.svg,7,14,288055880,145996 +1407,renewable-energy-consumption,StackedArea,,11922ef412fe68d1011447b451138d14,renewable-energy-consumption_v21_850x600.svg,8,24,276054360,14499 +1408,national-gdp-constant-usd-wb,map,,3b70085f7abc79c09f5e81d94ed7c15d,national-gdp-constant-usd-wb_v28_850x600.svg,20,45,539242768,390098 +1409,wind-energy-consumption-by-region,StackedArea,,1196e8a64054042af2085baa33b210ef,wind-energy-consumption-by-region_v17_850x600.svg,18,33,284582544,142631 +1410,wind-generation,map,,63e1a996902b5740cad0df5b7576aa02,wind-generation_v30_850x600.svg,19,46,290815200,227135 +1411,cumulative-installed-wind-energy-capacity-gigawatts,LineChart,,26b6e4bbdda591b4b02a4645ff2c5e96,cumulative-installed-wind-energy-capacity-gigawatts_v15_850x600.svg,4,10,299467600,102855 +1412,wind-energy-consumption-vs-installed-wind-energy-capacity,ScatterPlot,,225cdfa92b6f66738f9a4db91abea483,wind-energy-consumption-vs-installed-wind-energy-capacity_v16_850x600.svg,100,171,306278432,255171 +1413,patents-filed-for-renewables,StackedBar,,d5dbce06081330a02bb6a348019abf6c,patents-filed-for-renewables_v11_850x600.svg,26,45,300530104,269395 +1414,patents-for-renewables-by-country,map,,716d486583a31ecc0bd7e0ce1357596f,patents-for-renewables-by-country_v12_850x600.svg,4,14,286908536,46090 +1416,installed-geothermal-capacity,map,,57eddb954a6c21be11ab4825475992cf,installed-geothermal-capacity_v9_850x600.svg,2,13,562688288,31215 +1417,global-hydro-consumption,LineChart,,ebe89e1d3c8e22959b00485579b52006,global-hydro-consumption_v15_850x600.svg,2,10,530849264,2498 +1418,hydro-consumption-by-region,StackedArea,,3f62bf37382069c6827da5f56badd00b,hydro-consumption-by-region_v17_850x600.svg,33,50,281907328,177156 +1419,hydropower-consumption,map,,03b4f6289d54acccdba9fc7eadcfd555,hydropower-consumption_v30_850x600.svg,16,49,544924968,268159 +1421,co2-per-capita-vs-renewable-electricity,ScatterPlot,,a30f75c5eb00e8664aaed5765c532411,co2-per-capita-vs-renewable-electricity_v44_850x600.svg,321,507,351923200,1125839 +1425,world-population-with-and-without-fertilizer,LineChart,,515a7b9893c42edac306d855f8b66c9c,world-population-with-and-without-fertilizer_v2_850x600.svg,2,9,298977752,5617 +1426,world-population-supported-by-synthetic-nitrogen-fertilizers,StackedArea,,515e042a6c63892c2c2249e445b0ac82,world-population-supported-by-synthetic-nitrogen-fertilizers_v3_850x600.svg,4,21,570336912,1500 +1431,percentage-of-women-20-24-who-were-married-or-in-union-before-18,map,,4233852e0d10b45145087e026948efb2,percentage-of-women-20-24-who-were-married-or-in-union-before-18_v13_850x600.svg,7,21,823104328,5133 +1432,access-to-clean-fuels-and-technologies-for-cooking,map,,9a92029aca6c18b78060527cb4e7efa1,access-to-clean-fuels-and-technologies-for-cooking_v24_850x600.svg,11,27,313567888,177816 +1436,gdp-vs-industry-gdp-at-constant-prices,ScatterPlot,,054b8cbc06f566a8928592014a84587a,gdp-vs-industry-gdp-at-constant-prices_v24_850x600.svg,1252,2337,311445480,2568648 +1437,rate-of-violent-victimizations-at-school-us,LineChart,,648df75929f88e6d5e97ddf8d481ab3d,rate-of-violent-victimizations-at-school-us_v3_850x600.svg,1,12,289431056,674 +1438,pm25-air-pollution,map,,cbfaea2acc966c4bbbb70fd4115a13f3,pm25-air-pollution_v28_850x600.svg,7,18,296475824,68208 +1442,indoor-pollution-death-rates-clean-fuels,ScatterPlot,,3d2c49c6ddadaac93925b4699779d7df,indoor-pollution-death-rates-clean-fuels_v38_850x600.svg,64,113,549279744,428949 +1443,terrorism-deaths,map,,12ce5653d8a8acfa9d33d61011b7af5f,terrorism-deaths_v37_850x600.svg,23,40,309935888,274039 +1445,injuries-from-terrorist-attacks,map,,2b117136ae266dacbd8d21f140fab0e1,injuries-from-terrorist-attacks_v27_850x600.svg,17,40,838577672,274460 +1446,terrorist-attacks,map,,03aa4e89010a0bb1f06f6d0753cabb46,terrorist-attacks_v31_850x600.svg,19,33,295904432,273881 +1447,terrorist-attacks-fatalities-and-injuries,LineChart,,7e32985ff68222433db742c99356f572,terrorist-attacks-fatalities-and-injuries_v22_850x600.svg,87,99,326155944,822380 +1450,alcohol-consumption-vs-gdp-per-capita,ScatterPlot,,408eee622ec4230d5a926f41dc170542,alcohol-consumption-vs-gdp-per-capita_v25_850x600.svg,52,103,320261824,260147 +1454,gender-wage-gap-oecd,LineChart,,71a5b993e37593d3590ed7f4e8a8e83a,gender-wage-gap-oecd_v12_850x600.svg,5,32,829195288,17720 +1455,household-air-pollution-deaths-by-region,StackedArea,,c28236b9ed0898b6484722e6ac4fc193,household-air-pollution-deaths-by-region_v20_850x600.svg,34,48,287721888,245345 +1456,annual-deaths-from-outdoor-air-pollution-by-region,StackedArea,,225c11bc67dd4d2de5fbf0fbcab716b4,annual-deaths-from-outdoor-air-pollution-by-region_v19_850x600.svg,163,172,103798336,243886 +1457,absolute-number-of-deaths-from-household-air-pollution,map,,d70e89ec64e5554aae75d7f0ffe58064,absolute-number-of-deaths-from-household-air-pollution_v23_850x600.svg,12,43,842488056,245345 +1458,absolute-number-of-deaths-from-outdoor-air-pollution,map,,394d98379b51651e9a25a1a4fc863137,absolute-number-of-deaths-from-outdoor-air-pollution_v20_850x600.svg,14,35,333356384,243886 +1459,population-using-solid-fuels-for-cooking,SlopeChart,,0bce33fe4e171b53655542aa39f63f27,population-using-solid-fuels-for-cooking_v5_850x600.svg,3,9,296573680,916 +1461,death-rates-from-indoor-air-pollution-vs-gdp-per-capita,ScatterPlot,,347fb94730741303eb510af17b66a300,death-rates-from-indoor-air-pollution-vs-gdp-per-capita_v35_850x600.svg,65,135,308029792,466041 +1462,death-rates-from-indoor-air-pollution-vs-share-of-population-in-absolute-poverty,ScatterPlot,,29a47c6254b5d8e48d924e6cc141fca8,death-rates-from-indoor-air-pollution-vs-share-of-population-in-absolute-poverty_v59_850x600.svg,652,956,447221416,2186365 +1463,access-to-clean-fuels-for-cooking-vs-gdp-per-capita,ScatterPlot,,125d119f197d1795bd6165bd0f66ed03,access-to-clean-fuels-for-cooking-vs-gdp-per-capita_v28_850x600.svg,544,863,443817592,2250356 +1464,deaths-from-household-and-outdoor-air-pollution,StackedArea,,1fb06f209de2352683e6e2aaa77bf6ef,deaths-from-household-and-outdoor-air-pollution_v10_850x600.svg,67,83,835454712,489231 +1469,number-of-deaths-from-tobacco-smoking,map,,b6a29c70bd5452574732df2e9e4e6bd2,number-of-deaths-from-tobacco-smoking_v19_850x600.svg,12,28,277744512,243706 +1471,annual-number-of-deaths-by-cause,LineChart,,6fb23dc6d9401f819dd04c09bd866cee,annual-number-of-deaths-by-cause_v59_850x600.svg,659,674,408680840,9755781 +1474,the-shrinking-gender-gap-in-high-level-jobs-and-collective-barganing-coverage,LineChart,,12b04e79d87fc7d36f7bafda26ac9965,the-shrinking-gender-gap-in-high-level-jobs-and-collective-barganing-coverage_v7_850x600.svg,1,11,165809048,668 +1476,the-gender-wage-ratio-in-different-income-percentiles,LineChart,,d1de50cb29ed88b1f4f2ca02370d5a9b,the-gender-wage-ratio-in-different-income-percentiles_v6_850x600.svg,2,11,844142944,507 +1478,annual-population-growth,LineChart,,824a55f60b23b18e9cc14df52b2b7de1,annual-population-growth_v35_850x600.svg,232,244,184904080,1151006 +1481,us-women-are-overrepresented-in-low-wage-occupations,DiscreteBar,,8020be335042cbeda73f954099bc3238,us-women-are-overrepresented-in-low-wage-occupations_v3_850x600.svg,1,18,219646560,347 +1483,agricultural-land-irrigation,map,,7a1829796cd1876a0b63655609332216,agricultural-land-irrigation_v12_850x600.svg,4,23,109218816,35241 +1484,freshwater-withdrawals-as-a-share-of-internal-resources,map,,a3fdceffecfab06dd7b7e0dd98900500,freshwater-withdrawals-as-a-share-of-internal-resources_v15_850x600.svg,5,20,317488336,107025 +1486,agricultural-water-as-a-share-of-total-water-withdrawals,DiscreteBar,,8cb65271bba686e483063b16775c3ef2,agricultural-water-as-a-share-of-total-water-withdrawals_v12_850x600.svg,10,24,844235472,182305 +1487,water-withdrawals-per-capita,map,,e57ba732eac6e62be2f26ce86aa9ee17,water-withdrawals-per-capita_v7_850x600.svg,4,23,225229032,18716 +1488,industrial-water-as-a-share-of-total-water-withdrawals,LineChart,,36854f239374eb611de241eac8b6444a,industrial-water-as-a-share-of-total-water-withdrawals_v12_850x600.svg,10,32,837387528,178558 +1489,municipal-water-as-a-share-of-total-water-withdrawals,map,,de50aeaa0ea2e0dcb6e5e43ca27db525,municipal-water-as-a-share-of-total-water-withdrawals_v12_850x600.svg,9,48,114658584,183312 +1490,agricultural-water-withdrawals-vs-gdp-per-capita,ScatterPlot,,49d68d605b3c90bbb6e83516591ddb26,agricultural-water-withdrawals-vs-gdp-per-capita_v20_850x600.svg,133,332,337051552,410664 +1491,share-of-rural-population-with-improved-sanitation-faciltities,map,,c8829da45927cbeb8d75638d43e93b62,share-of-rural-population-with-improved-sanitation-faciltities_v8_850x600.svg,10,29,230493088,144841 +1492,share-of-urban-population-with-improved-sanitation-facilities,map,,dfe40cc954d760ec70d5b46aabf30aa6,share-of-urban-population-with-improved-sanitation-facilities_v8_850x600.svg,11,29,847269136,152402 +1493,people-practicing-open-defecation-of-population,map,,237b142347977ebe441a1ae303ba407c,people-practicing-open-defecation-of-population_v8_850x600.svg,13,27,235588352,174160 +1496,improved-water-sources-vs-gdp-per-capita,ScatterPlot,,76b27c4665f70fe74107c87b00e05828,improved-water-sources-vs-gdp-per-capita_v23_850x600.svg,86,154,120688272,409907 +1497,improved-sanitation-facilities-vs-gdp-per-capita,ScatterPlot,,f77b3e7777cc904c8400fda5daf28f66,improved-sanitation-facilities-vs-gdp-per-capita_v15_850x600.svg,64,116,375514520,412477 +1499,urban-improved-water-access-vs-rural-water-access,ScatterPlot,,c79806b30566d4a8af949489d5e15892,urban-improved-water-access-vs-rural-water-access_v20_850x600.svg,605,946,968390664,2146642 +1500,rural-population-with-improved-water,map,,8eea798cf5c3f5b201b5bdf5fdb9ef4e,rural-population-with-improved-water_v8_850x600.svg,7,23,226676464,142924 +1501,urban-population-with-improved-water,map,,fd993489bbd41e0a8249638047bc65eb,urban-population-with-improved-water_v8_850x600.svg,11,27,232880888,150843 +1502,open-defecation-in-rural-areas-vs-urban-areas,ScatterPlot,,af161bb787b52ee5798a13cd2e156617,open-defecation-in-rural-areas-vs-urban-areas_v12_850x600.svg,101,167,390952280,293340 +1504,prevalence-of-stunting-vs-improved-sanitation-facilities,ScatterPlot,,45857231f0f652e8e0752ae28e98e4a3,prevalence-of-stunting-vs-improved-sanitation-facilities_v27_850x600.svg,588,873,302892160,2066657 +1506,child-mortality-vs-open-defecation,ScatterPlot,,ba0101643c371836830e2a9a9ae41ff0,child-mortality-vs-open-defecation_v21_850x600.svg,675,953,367508856,2469534 +1507,agricultural-water-withdrawals,map,,b59114dbde3354d36312aa8fea129290,agricultural-water-withdrawals_v5_850x600.svg,22,46,138624624,17923 +1508,municipal-water-withdrawal,map,,897a9d116a6d1711717c36d082228a2e,municipal-water-withdrawal_v4_850x600.svg,2,9,340995528,18708 +1509,industrial-water-withdrawal,map,,b9b065bdb81f845ec5627161a48b7820,industrial-water-withdrawal_v5_850x600.svg,3,15,139607600,17416 +1513,students-in-grade-2-who-cant-read-a-single-word-ca-2015,DiscreteBar,,3d3675e6445f346889cc8b2e66b3e8f4,students-in-grade-2-who-cant-read-a-single-word-ca-2015_v3_850x600.svg,1,13,385831408,379 +1514,actual-teaching-time-as-share-of-scheduled-teaching-time,LineChart,,715903a7f8a631f1134093940f527e79,actual-teaching-time-as-share-of-scheduled-teaching-time_v4_850x600.svg,2,16,126934192,610 +1515,scheduled-teaching-time-that-teachers-are-in-the-classroom,DiscreteBar,,67a0bb5d10625d3b83ba77365850e2fb,scheduled-teaching-time-that-teachers-are-in-the-classroom_v2_850x600.svg,2,8,332103480,592 +1518,renewable-water-resources-per-capita,LineChart,,9f6bd7b366450cd59ca0346d8ff69f2d,renewable-water-resources-per-capita_v11_850x600.svg,17,34,339457376,361790 +1519,annual-freshwater-withdrawals,map,,d5b217f0ccd61b4090b0c87b7e0ce472,annual-freshwater-withdrawals_v12_850x600.svg,17,48,107746984,187856 +1523,percentage-of-teachers-in-primary-education-who-are-qualified,map,,d6fd0562a53b3647e63dae7adcaff1e9,percentage-of-teachers-in-primary-education-who-are-qualified_v14_850x600.svg,4,17,134191632,53960 +1525,economic-damage-from-natural-disasters,StackedBar,,1d4b0b2b6d602c93ae8cac67cc06c617,economic-damage-from-natural-disasters_v15_850x600.svg,5,59,350821440,39694 +1526,urban-and-rural-population,LineChart,,92eb3f34f112833936b2e293d4aa2726,urban-and-rural-population_v23_850x600.svg,84,91,147359832,902570 +1527,share-of-population-urban,map,,bce8f736a25969bc317b749f86b56492,share-of-population-urban_v24_850x600.svg,25,54,357374368,441394 +1530,saber-rating-of-education-policies-aimed-at-preparing-teachers-with-training,DiscreteBar,,da543e3ac8c0532df8ad4c994e5f684e,saber-rating-of-education-policies-aimed-at-preparing-teachers-with-training_v8_850x600.svg,1,9,115960584,977 +1531,global-freshwater-use-over-the-long-run,StackedArea,,8c366dae675f8d33cfa913681eaee2f0,global-freshwater-use-over-the-long-run_v2_850x600.svg,3,12,142501104,17067 +1532,freshwater-use-by-aggregated-region,StackedArea,,b8270d496a0d4a4780691a378667acdc,freshwater-use-by-aggregated-region_v2_850x600.svg,2,24,108322696,17067 +1538,global-change-over-the-last-50-years,LineChart,,d7c2f917d807d90d84b1e69e4c1d0e9a,global-change-over-the-last-50-years_v65_850x600.svg,805,859,279764592,6711797 +1540,total-wealth-per-capita-by-income-groups-in-2014-us-dollars,LineChart,,6af466fb4b7f50589080a06ccfa01d90,total-wealth-per-capita-by-income-groups-in-2014-us-dollars_v6_850x600.svg,2,10,115905992,3285 +1546,immunization-hepb3-of-one-year-old-children,map,,e9204e370038c7224cd56f8d749cf042,immunization-hepb3-of-one-year-old-children_v16_850x600.svg,10,25,119384480,118433 +1547,bcg-immunization-coverage-for-tb-among-1-year-olds,map,,7b2fe30b496482449920e8894764b1ba,bcg-immunization-coverage-for-tb-among-1-year-olds_v22_850x600.svg,11,33,357226400,173591 +1549,various-measures-of-national-savinginvestment-compared-to-gdp-per-capita-in-international-dollars,LineChart,,0f156f7667973c7e51e2a2cef4f68daf,various-measures-of-national-savinginvestment-compared-to-gdp-per-capita-in-international-dollars_v6_850x600.svg,8,23,438721456,182472 +1550,genuine-savings-per-capita-in-international-dollars-1900-2000,LineChart,,1012e8dc78e059bfd7abecf38417571f,genuine-savings-per-capita-in-international-dollars-1900-2000_v10_850x600.svg,2,14,116482544,36532 +1556,various-measures-of-national-savinginvestment-per-capita-in-international-dollars,LineChart,,aea25b5fa7a52efafb6beeeef408500c,various-measures-of-national-savinginvestment-per-capita-in-international-dollars_v5_850x600.svg,11,21,433767464,144789 +1558,antibiotic-use-in-livestock-in-europe,map,,5f41aca39a18f12ebcc838ff5e185a0e,antibiotic-use-in-livestock-in-europe_v7_850x600.svg,3,49,424778872,8294 +1559,antibiotic-use-in-livestock-vs-meat-supply-per-capita,ScatterPlot,,1d5e2e2d887d3cc4e3a0d650ef9a9ce3,antibiotic-use-in-livestock-vs-meat-supply-per-capita_v18_850x600.svg,134,244,151606056,433925 +1561,reduction-global-antibiotic-use,DiscreteBar,,fae5aab2306d608c6cebb1b321e50bd7,reduction-global-antibiotic-use_v2_850x600.svg,2,9,364851128,252 +1562,daily-meat-consumption-per-person,map,,5b7ebea839af09abed53f7271d173683,daily-meat-consumption-per-person_v14_850x600.svg,22,42,377227352,415946 +1563,antibiotic-use-in-livestock-vs-gdp-per-capita,ScatterPlot,,f9abab1dea00b4d98ddc9f8c2807d754,antibiotic-use-in-livestock-vs-gdp-per-capita_v19_850x600.svg,467,884,144943784,2080834 +1564,genuine-saving-and-gdp-per-capita-in-international-dollars,LineChart,,e1165c11cd3c97206783efda41d8be7f,genuine-saving-and-gdp-per-capita-in-international-dollars_v9_850x600.svg,5,23,445628064,74215 +1566,total-wealth-by-asset-group-in-millions-2014-us-dollars,DiscreteBar,,a00fbd90d22e7f55e3375ae29e7f31de,total-wealth-by-asset-group-in-millions-2014-us-dollars_v9_850x600.svg,1,14,411906168,11257 +1567,wealth-per-capita-by-asset-group-with-natural-capital-disaggregated-in-2014-us-dollars,DiscreteBar,,338966e80fb225498d36945fec6f448c,wealth-per-capita-by-asset-group-with-natural-capital-disaggregated-in-2014-us-dollars_v10_850x600.svg,14,20,422341792,195168 +1568,adjusted-net-saving-current-us-dollars,LineChart,,bb6297e5ba7a292a74fdeb4fa0258090,adjusted-net-saving-current-us-dollars_v8_850x600.svg,15,22,376589808,145924 +1570,time-required-to-start-business,map,,fe8b93c684084352d7fbb3964d1f4435,time-required-to-start-business_v13_850x600.svg,8,29,453288448,87774 +1572,diabetes-prevalence,map,,fe0dc157075da4263a2e05d16099f3b8,diabetes-prevalence_v14_850x600.svg,3,11,425915360,13075 +1573,production-vs-consumption-co2-emissions,LineChart,,ae9a46b08ef501614974e72c975afa71,production-vs-consumption-co2-emissions_v47_850x600.svg,170,205,393581944,1114071 +1574,patent-applications-per-million,map,,2c1686c3b1b379c2e22d97d1b70f9b21,patent-applications-per-million_v11_850x600.svg,4,27,462433352,132528 +1575,scientific-publications-per-million,map,,2ea2c14e4922afe154ffbce8def3f9b2,scientific-publications-per-million_v12_850x600.svg,10,27,462635912,168048 +1583,urbanization-vs-gdp,ScatterPlot,,b1b7dbc0cd2740e695e965c6c7b31bec,urbanization-vs-gdp_v26_850x600.svg,1528,2423,522935232,3392092 +1584,death-rates-road-incidents,map,,87511f02857a924afd5470a9c001f797,death-rates-road-incidents_v28_850x600.svg,20,36,467368176,311978 +1585,number-of-deaths-from-road-injuries,map,,63e5727108816cd2c2b584e1eed330e3,number-of-deaths-from-road-injuries_v22_850x600.svg,21,39,460011208,319971 +1586,share-of-agriculture-in-total-employment,LineChart,,22fa800157329a172740cb90ceed6095,share-of-agriculture-in-total-employment_v3_850x600.svg,4,14,461740984,69024 +1588,number-of-deaths-by-risk-factor,LineChart,,780a18c04ad022423586238a6fb8fa08,number-of-deaths-by-risk-factor_v44_850x600.svg,363,378,243872240,6842750 +1589,share-firms-top-female-manager,map,,d9b96e54716ba22e668c7a7de61f332f,share-firms-top-female-manager_v20_850x600.svg,2,10,464404312,8102 +1592,per-capita-mismanaged-plastic-waste-vs-gdp-per-capita,ScatterPlot,,776b2a9bf0138f2a942a90b652bbecf4,per-capita-mismanaged-plastic-waste-vs-gdp-per-capita_v26_850x600.svg,44,81,453784784,234264 +1594,global-smallpox-cases,LineChart,,fe4c4d82cacad605082f2c2ae39862f5,global-smallpox-cases_v20_850x600.svg,3,16,472176808,3030 +1595,share-of-population-living-in-poverty-by-national-poverty-lines,map,,1ce6da49419d53c4388b580fcdfe5893,share-of-population-living-in-poverty-by-national-poverty-lines_v8_850x600.svg,3,14,399646672,28602 +1596,births-attended-by-health-staff-sdgs,map,,0e0d182a41e49dab3731f63d042a8c5d,births-attended-by-health-staff-sdgs_v23_850x600.svg,4,22,477737424,84562 +1601,measles-cases-and-death,LineChart,,e0b13b42979c1b54e17a026758fca6d7,measles-cases-and-death_v9_850x600.svg,3,15,389764296,4663 +1603,mortality-from-ncds-sdgs,map,,c9d2c2879c5653473064e86714bc0771,mortality-from-ncds-sdgs_v23_850x600.svg,5,21,466742992,113481 +1608,youth-literacy-males,map,,3ae047172d55db557a3a96a699f8528f,youth-literacy-males_v9_850x600.svg,5,20,487150840,62396 +1609,youth-literacy-female,map,,a0bea37226854d956d48cde4c3f3c372,youth-literacy-female_v6_850x600.svg,6,26,401298936,64281 +1615,women-married-by-age-18,map,,427483b123c77ff1ece295545a0d192e,women-married-by-age-18_v20_850x600.svg,4,18,973800296,11414 +1617,researchers-in-rd-per-million-people,map,,2bb78116b02f0c8efa39fd3580cb816a,researchers-in-rd-per-million-people_v23_850x600.svg,3,19,468140816,64342 +1618,research-spending-gdp,map,,c2a10054e972e10b995dfdf7ba6025a5,research-spending-gdp_v17_850x600.svg,3,20,493382968,79226 +1619,gdp-per-capita-growth,map,,05a2f943d716f3b125fd6942bf3eeeb2,gdp-per-capita-growth_v30_850x600.svg,17,36,308260064,368113 +1622,death-rates-from-disasters,StackedBar,,9e54966c02bc54f30feab946cd8d87cc,death-rates-from-disasters_v27_850x600.svg,24,38,394727040,287346 +1623,marine-protected-areas,map,,90fc8e6966f8084a41c7e23b8f3b1057,marine-protected-areas_v23_850x600.svg,4,16,972641200,41829 +1624,terrestrial-protected-areas,map,,7e76cb665816ef1daac23661b4099847,terrestrial-protected-areas_v18_850x600.svg,4,15,466921632,51006 +1625,homicide-rate-unodc,map,,d8362cf72adbcd26e6825446aa8a5939,homicide-rate-unodc_v36_850x600.svg,5,21,493705152,139514 +1626,deaths-conflict-terrorism-per-100000,map,,27feb24ffe0bcc4fff9e586371c11c24,deaths-conflict-terrorism-per-100000_v33_850x600.svg,20,47,408523032,292164 +1629,internal-renewable-freshwater-resources-by-region,DiscreteBar,,ea0de219a387acdd14414aa0962864a8,internal-renewable-freshwater-resources-by-region_v5_850x600.svg,22,33,968373000,311731 +1630,per-capita-renewable-freshwater-resources,map,,5aa834eb188f3a0f92d725120268eb96,per-capita-renewable-freshwater-resources_v6_850x600.svg,17,39,469906672,361790 +1641,women-believe-husband-justified-beating-wife,map,,d746687346d34111f7f7cf66e105b34d,women-believe-husband-justified-beating-wife_v15_850x600.svg,2,14,325659288,5106 +1644,government-expenditure-on-primary-education-as-share-of-gdp,map,,b3a64164b389863c11c87e0c49d1e2c6,government-expenditure-on-primary-education-as-share-of-gdp_v17_850x600.svg,4,30,496633144,110179 +1645,government-expenditure-on-secondary-education-as-share-of-gdp,map,,4580f4d677c81e58ce2ea2b9f9b725e3,government-expenditure-on-secondary-education-as-share-of-gdp_v16_850x600.svg,9,28,373208424,110443 +1646,government-expenditure-on-tertiary-education-as-share-of-gdp,map,,122c52dc2bc3fdc2a21cdffe992f0810,government-expenditure-on-tertiary-education-as-share-of-gdp_v14_850x600.svg,11,35,970197240,117072 +1647,children-age-8-who-report-physical-punishment-by-teachers,DiscreteBar,,10b94bdb431511cb9fd2bef3a3ff9462,children-age-8-who-report-physical-punishment-by-teachers_v2_850x600.svg,1,7,308358688,163 +1648,children-age-15-who-report-physical-punishment-by-teachers,DiscreteBar,,879a7e318cc70a291a107dc3d1c52f00,children-age-15-who-report-physical-punishment-by-teachers_v2_850x600.svg,1,6,314820144,161 +1650,percentage-of-women-18-to-29-who-report-having-been-victims-of-forced-sex-as-children,DiscreteBar,,0d766ec64da5cca60657354d6b2183e1,percentage-of-women-18-to-29-who-report-having-been-victims-of-forced-sex-as-children_v6_850x600.svg,3,10,506822584,1095 +1651,percentage-of-men-18-to-29-who-report-having-been-victims-of-forced-sex-as-children,DiscreteBar,,cb7ac40346a61cbf4901bd1bf9802e2a,percentage-of-men-18-to-29-who-report-having-been-victims-of-forced-sex-as-children_v3_850x600.svg,1,12,400594272,239 +1654,deaths-caused-by-vaccine-preventable-diseases-over-time,StackedArea,,fde2726dd7fd373b6884bc991cccbfba,deaths-caused-by-vaccine-preventable-diseases-over-time_v31_850x600.svg,253,263,378334624,2530097 +1655,percentage-of-teachers-absent-from-school,DiscreteBar,,e2c4d36a006fcc34330b411ec5da51aa,percentage-of-teachers-absent-from-school_v3_850x600.svg,1,8,379023800,242 +1656,percentage-of-teachers-absent-from-class,DiscreteBar,,6a7d27826f742fb20a7d6a5d47b3cd89,percentage-of-teachers-absent-from-class_v3_850x600.svg,2,8,475924928,242 +1657,evolution-of-happiness-inequality-within-countries-during-periods-of-uninterrupted-economic-growth,LineChart,,1919a1552e77ffd2d974cbe7989cbf5a,evolution-of-happiness-inequality-within-countries-during-periods-of-uninterrupted-economic-growth_v6_850x600.svg,1,9,500153680,1827 +1664,measles-cases-and-death-rate,LineChart,,099068d0963f0c9a10664a262300ea30,measles-cases-and-death-rate_v13_850x600.svg,2,19,370454848,5796 +1665,share-of-central-government-expenditures-funded-by-taxes,map,,a382350e25e65b3ce38cddeb2619f271,share-of-central-government-expenditures-funded-by-taxes_v9_850x600.svg,5,20,411978864,96328 +1666,government-revenues-as-a-share-of-gdp-world-bank,map,,38ebb65fa5197fb2a816746d948d2d59,government-revenues-as-a-share-of-gdp-world-bank_v15_850x600.svg,17,36,474946136,152899 +1667,annualized-average-growth-rate-in-per-capita-real-survey-mean-consumption-or-income-bottom-40-of-population,map,,018686f5df67f363741e2a5e289d92a6,annualized-average-growth-rate-in-per-capita-real-survey-mean-consumption-or-income-bottom-40-of-population_v30_850x600.svg,2,28,972052784,3544 +1668,number-of-commercial-bank-branches-per-100000-adults,map,,4017241180ca1cf573f9a9c8f81b1a93,number-of-commercial-bank-branches-per-100000-adults_v12_850x600.svg,9,19,512175216,99187 +1669,automated-teller-machines-atms-per-100000-adults,map,,3bca5a0fb5bf14899b818a458e67967f,automated-teller-machines-atms-per-100000-adults_v16_850x600.svg,5,18,380321824,95271 +1671,gdp-per-person-employed-constant-ppp,map,,caa9d98a863b84e97a0f0bbd673267ba,gdp-per-person-employed-constant-ppp_v18_850x600.svg,11,29,418868536,195977 +1672,proportion-of-women-who-make-their-own-informed-health-care-decisions,map,,f2ad23feb2668e79631ac482f4cda70c,proportion-of-women-who-make-their-own-informed-health-care-decisions_v11_850x600.svg,2,9,513028080,5188 +1674,share-of-women-in-ministerial-positions,map,,9d105262bdee21efdad3f3af7785e451,share-of-women-in-ministerial-positions_v15_850x600.svg,7,28,974060432,66024 +1675,law-mandate-nondiscrimination-hiring,map,,dd1808836c6b501542e849e4b9d83bce,law-mandate-nondiscrimination-hiring_v15_850x600.svg,16,31,475205664,260445 +1678,women-and-men-have-equal-rights-to-immovable-property,map,,3dd4d0d05ea53f0a65d143d73b49ee94,women-and-men-have-equal-rights-to-immovable-property_v13_850x600.svg,18,33,379827480,260445 +1679,women-required-to-obey-husband,map,,db3daacd2794eb6251dbbb0d493bdd8d,women-required-to-obey-husband_v15_850x600.svg,13,25,516697560,260445 +1683,transistors-per-microprocessor,LineChart,,8a338f612b1a9d3bc919396065778e86,transistors-per-microprocessor_v16_850x600.svg,1,6,405017856,1390 +1684,annual-patents-invention-united-states-1790,LineChart,,10ebd0a31fdd337c34cd97b43b55d9f0,annual-patents-invention-united-states-1790_v15_850x600.svg,2,8,414719984,6623 +1686,patents-usa-by-category,StackedArea,,cb1aa957f5de02199b67f1b7975ffd20,patents-usa-by-category_v16_850x600.svg,5,21,253598320,29674 +1687,deaths-from-hiv-by-age,StackedArea,,902ee1459cd56ff6cef5f0ccab9c47cd,deaths-from-hiv-by-age_v24_850x600.svg,254,292,1014340624,1619908 +1689,supercomputer-power-flops,LineChart,,4be73789fb3fbf06a82ae9820cf9d5cd,supercomputer-power-flops_v41_850x600.svg,2,8,405589856,1030 +1691,labor-productivity-vs-gdp-per-capita,ScatterPlot,,c395401d1232f0aad7b8b7050f12d69d,labor-productivity-vs-gdp-per-capita_v30_850x600.svg,619,957,192834744,2303156 +1693,deaths-by-risk-under5s,LineChart,,46968b9dd6b9d73f362207c4aad5ed8d,deaths-by-risk-under5s_v29_850x600.svg,178,195,451920144,2955185 +1694,deaths-risk-factor-5-14years,LineChart,,ed986198a9a86839c100deee88f5f0f4,deaths-risk-factor-5-14years_v25_850x600.svg,200,209,431746008,3275635 +1695,deaths-risk-factor-15-49years,LineChart,,38512e7ea30bb5fca1343df3776bd8d0,deaths-risk-factor-15-49years_v29_850x600.svg,471,498,153599256,4655001 +1696,number-of-deaths-by-age-group,StackedArea,,ab521d7e19e506ddf7235cafc2542229,number-of-deaths-by-age-group_v26_850x600.svg,188,214,301789216,1598714 +1698,deaths-risk-factor-50-69years,LineChart,,c985e555b616e07361701870ec9ed4f7,deaths-risk-factor-50-69years_v27_850x600.svg,343,355,341868152,4400742 +1699,gender-wage-gap-vs-gdp-per-capita,ScatterPlot,,47c6cbcf360d4057db186626f4bc36ea,gender-wage-gap-vs-gdp-per-capita_v29_850x600.svg,562,922,485018736,2084491 +1700,share-of-low-pay-earners-who-are-female-vs-gdp-per-capita,ScatterPlot,,6cfecdc1215fd3c23fa5f252f2508ce4,share-of-low-pay-earners-who-are-female-vs-gdp-per-capita_v25_850x600.svg,552,886,257130616,2076790 +1701,womens-weekly-earnings-as-a-percentage-of-mens-by-age-bureau-of-labor-statistics-2017,LineChart,,454b762d4d80f891031a77a4eed4f063,womens-weekly-earnings-as-a-percentage-of-mens-by-age-bureau-of-labor-statistics-2017_v13_850x600.svg,4,14,450989720,3377 +1703,share-of-children-ages-13-15-who-report-being-bullied,map,,d7f1b886c03b2e3df0eed9366a59b984,share-of-children-ages-13-15-who-report-being-bullied_v4_850x600.svg,3,35,307272944,4629 +1704,share-of-children-ages-13-15-who-report-being-in-a-school-fight-last-year,map,,bcf742246cad6c1d31361835cd19a786,share-of-children-ages-13-15-who-report-being-in-a-school-fight-last-year_v3_850x600.svg,5,14,453674568,4641 +1705,deaths-by-risk-factor-over-70,LineChart,,598afd389819c1ee3776d2b55f0efefc,deaths-by-risk-factor-over-70_v29_850x600.svg,267,282,485791112,4396762 +1706,child-homicide-rate-per-100000,map,,86ca6779d2fabd5d8e1e95c3e06999d7,child-homicide-rate-per-100000_v19_850x600.svg,2,14,468745224,3616 +1708,causes-of-death-in-5-14-year-olds,LineChart,,ad34984efc629b374941552204ee4786,causes-of-death-in-5-14-year-olds_v28_850x600.svg,858,870,186984696,6654949 +1709,causes-of-death-in-15-49-year-olds,LineChart,,91a80dd22310c5bb5998b8441aee3b2a,causes-of-death-in-15-49-year-olds_v41_850x600.svg,831,862,420793008,7895219 +1710,causes-of-death-in-50-69-year-olds,LineChart,,58f9ac022e2d8dbe2d009720ba643911,causes-of-death-in-50-69-year-olds_v33_850x600.svg,524,536,561681336,7891881 +1711,causes-of-death-in-70-year-olds,LineChart,,e4b9655bc6cc9a533815b60952d1667b,causes-of-death-in-70-year-olds_v36_850x600.svg,799,813,212345192,7900048 +1713,cancer-deaths-by-age,StackedArea,,5666ba5f23693b1ba68da39015dc6ce9,cancer-deaths-by-age_v20_850x600.svg,196,203,199344848,1602697 +1714,cancer-death-rates,map,,485e3930bb93c7d95053d0d9a6478067,cancer-death-rates_v32_850x600.svg,33,141,110911632,312533 +1715,cancer-death-rates-by-type,LineChart,,5fb40be3edca0f892f984b0d6f654824,cancer-death-rates-by-type_v22_850x600.svg,237,248,366558520,3113486 +1717,cancer-death-rates-by-age,LineChart,,2945e5feb9af126a7b7c031d6f70bb66,cancer-death-rates-by-age_v21_850x600.svg,169,176,144662720,2231736 +1718,dementia-related-deaths-by-age,StackedArea,,236dffe1c622077f3a16b0755718ab12,dementia-related-deaths-by-age_v20_850x600.svg,119,127,224620312,967397 +1719,dementia-death-rates,map,,6a8a3ca3420344df269f5f18bd5639a5,dementia-death-rates_v27_850x600.svg,16,34,154296200,312898 +1722,gdp-per-capita-vs-staff-compensation-as-share-of-total-expenditure-in-primary-public-education,ScatterPlot,,f64f45213a9934cd16bf5d5e688747b1,gdp-per-capita-vs-staff-compensation-as-share-of-total-expenditure-in-primary-public-education_v33_850x600.svg,514,823,357274488,2125000 +1723,deaths-from-smallpox-in-london,LineChart,,da98469a2999adaa50ab6d49959e3741,deaths-from-smallpox-in-london_v17_850x600.svg,2,12,571957520,8209 +1725,deaths-from-diarrheal-diseases-by-age,StackedArea,,df5e428f332f97c6eb4682f0228a2df1,deaths-from-diarrheal-diseases-by-age_v24_850x600.svg,210,226,226450720,1611944 +1726,diarrheal-disease-death-rates,map,,e885384cacf6be5184c164056a9dbf81,diarrheal-disease-death-rates_v32_850x600.svg,22,205,110950032,313398 +1727,diarrheal-disease-death-rates-by-age,LineChart,,98d64c2ce399b2a8b292ba728ae9c089,diarrheal-disease-death-rates-by-age_v30_850x600.svg,131,149,176510280,1933410 +1728,drowning-deaths-by-age-group,StackedArea,,8d1600c1fecff71300430a0540ce8074,drowning-deaths-by-age-group_v19_850x600.svg,164,174,410322568,1606673 +1729,drowning-death-rates,map,,f339756655943dcb236810bcf40cb9e0,drowning-death-rates_v21_850x600.svg,30,190,105414840,311681 +1731,fire-deaths-by-age,StackedArea,,d542b6fadb169d4dcf55085708aefae1,fire-deaths-by-age_v19_850x600.svg,178,193,301096528,1613068 +1732,fire-death-rates,map,,c00de557c1384897d1d8430560ae1b75,fire-death-rates_v28_850x600.svg,18,40,186937952,313604 +1734,road-incident-deaths-by-age,StackedArea,,29a69296215b2c08e638d570cadb07c6,road-incident-deaths-by-age_v19_850x600.svg,168,178,456247496,1604491 +1735,road-deaths-by-type,StackedArea,,5502cfc7c95a130c87e68a63b0b7fc8a,road-deaths-by-type_v21_850x600.svg,170,176,272159632,1606016 +1737,stroke-deaths-by-age,StackedArea,,bcfc44b343f63800f9fe1d1e6c6087b7,stroke-deaths-by-age_v26_850x600.svg,181,188,153705632,1606896 +1738,stroke-death-rates,map,,473803fcf8e7a2458a28584de115ba03,stroke-death-rates_v27_850x600.svg,37,96,109271056,312230 +1739,stroke-death-rates-by-age,LineChart,,5dcd0c142afeba366a807399f05e8a47,stroke-death-rates-by-age_v23_850x600.svg,119,140,220234968,2243066 +1740,suicide-deaths-by-age,StackedArea,,cd1fab4b7b324f39c33550ed06eaeeda,suicide-deaths-by-age_v42_850x600.svg,159,182,226932920,1285459 +1741,suicide-death-rates,map,,e71b8138409774067c8efa1708f31eb4,suicide-death-rates_v43_850x600.svg,12,52,110128872,311686 +1743,homicide-rate-by-age,LineChart,,28d75e5875f014d627a253c389dbe551,homicide-rate-by-age_v27_850x600.svg,114,124,338628136,1931409 +1744,homicide-deaths-by-age,StackedArea,,49a7aa3b2700b4b6a83228fb5923aed4,homicide-deaths-by-age_v26_850x600.svg,193,201,150896848,1611316 +1746,government-expenditure-per-primary-student-vs-gdp-per-capita,ScatterPlot,,336863cb2013edc2e800d8910796ed14,government-expenditure-per-primary-student-vs-gdp-per-capita_v34_850x600.svg,471,764,235847608,2128325 +1748,malnutrition-deaths-by-age,StackedArea,,ea7a20ac568e603fe05159d471dda522,malnutrition-deaths-by-age_v21_850x600.svg,160,179,247698856,1620677 +1749,malnutrition-death-rates,map,,200a28ebc21eb333365dff1521b9c1b6,malnutrition-death-rates_v32_850x600.svg,21,50,463827464,315346 +1751,respiratory-disease-deaths-by-age,StackedArea,,953683c136b2210b36ad31460530a691,respiratory-disease-deaths-by-age_v17_850x600.svg,160,172,310675416,1606475 +1752,respiratory-disease-death-rate,map,,15d1d27088ece7ef32e20e343f5a069a,respiratory-disease-death-rate_v29_850x600.svg,20,38,230593256,311214 +1754,cardiovascular-disease-deaths-by-age,StackedArea,,c33daa5082c2136c8a034988dc345bc7,cardiovascular-disease-deaths-by-age_v37_850x600.svg,150,167,191802200,1602839 +1755,cardiovascular-disease-death-rates,map,,019a690f2feb94e292b15bbfc37ecbc2,cardiovascular-disease-death-rates_v30_850x600.svg,16,38,237817024,311484 +1756,cardiovascular-disease-death-rates-by-age,LineChart,,59bf283fe91dbcf1125aeeb807410b43,cardiovascular-disease-death-rates-by-age_v31_850x600.svg,88,101,359248320,1602608 +1777,natural-disaster-death-rates,LineChart,,8da33b33f0973d33f7b4c0bc2c0f336d,natural-disaster-death-rates_v11_850x600.svg,2,8,473747960,42470 +1783,percentage-of-primary-schools-with-access-to-potable-water,map,,4e8b9c65e97a7afb05c57e5f38d41c4c,percentage-of-primary-schools-with-access-to-potable-water_v12_850x600.svg,3,25,234755552,34403 +1786,number-of-maternal-deaths-by-region,StackedArea,,8ba78bb43c7149d49c6affdb1e53bbdf,number-of-maternal-deaths-by-region_v17_850x600.svg,29,41,465313488,234191 +1790,number-of-neonatal-deaths-by-region,StackedArea,,a7b495fb0a641b99c2f9e1fab5f6975f,number-of-neonatal-deaths-by-region_v17_850x600.svg,47,60,244527352,278165 +1791,manufacturing-value-added-to-gdp,map,,12ae72bf1e93bdb486cdc9f198529007,manufacturing-value-added-to-gdp_v21_850x600.svg,16,39,242090280,272641 +1792,youth-not-in-education-employment-training,map,,70e9fe3b4efd3f07d7ab014a4ecd7eed,youth-not-in-education-employment-training_v24_850x600.svg,4,25,250248944,59206 +1793,unemployment-rate,map,,9145379c2ca43ff86a184c8603c05dc8,unemployment-rate_v14_850x600.svg,11,29,479304752,189923 +1794,unemployment-rate-of-males-vs-females,ScatterPlot,,3336fd065a2e84a99845e3788eda263c,unemployment-rate-of-males-vs-females_v20_850x600.svg,62,109,179109936,396770 +1795,average-hourly-earnings,map,,dfda2e8167ca6c3a2269e2b88f7abe22,average-hourly-earnings_v13_850x600.svg,4,13,243961568,10452 +1796,hourly-earnings-male-vs-female,ScatterPlot,,4742c3e954afd5e10006d58a3e17f886,hourly-earnings-male-vs-female_v23_850x600.svg,22,56,251446704,30653 +1797,industry-share-of-total-emplyoment,map,,2cca9f09e58637b5ac78eaa54679414f,industry-share-of-total-emplyoment_v10_850x600.svg,17,30,374131144,226432 +1801,percentage-of-primary-schools-with-toilets,map,,588fd2d20c3a6decedbc13501f15706d,percentage-of-primary-schools-with-toilets_v8_850x600.svg,4,19,318982352,29672 +1802,account-at-financial-institution,map,,e7706728e8bb1eb86bba7654d314d553,account-at-financial-institution_v22_850x600.svg,3,12,267468424,18276 +1804,malaria-deaths-by-age,StackedArea,,f0374c4cd64049509664a0af706b6c1f,malaria-deaths-by-age_v26_850x600.svg,173,180,234706216,1433090 +1805,road-mortality-rate-comparison,ScatterPlot,,65f79886335bd01042ffdfb07810d4ef,road-mortality-rate-comparison_v33_850x600.svg,469,811,595283824,2287504 +1806,law-mandate-equal-pay,map,,d85a5b41f6655fd2d39edd85bfedfe9c,law-mandate-equal-pay_v16_850x600.svg,14,33,244939240,260445 +1807,smoking-and-secondhand-deaths,StackedArea,,49102fb431a1cde0c2eef678972fb954,smoking-and-secondhand-deaths_v19_850x600.svg,60,68,261702344,487404 +1808,secondhand-smoke-deaths-by-age,StackedArea,,4f9d6a4134c58f9487b1b0eb7b8b2d19,secondhand-smoke-deaths-by-age_v17_850x600.svg,110,117,349908704,1225156 +1809,smoking-deaths-by-age,StackedArea,,ad904eb85ba2895a08398d70a0d3e69b,smoking-deaths-by-age_v19_850x600.svg,79,86,383063904,731273 +1812,share-of-students-at-end-of-lower-secondary-education-achieving-minimum-math-proficiency,map,,2eb6c273b7b48798fe360b095e0479af,share-of-students-at-end-of-lower-secondary-education-achieving-minimum-math-proficiency_v18_850x600.svg,2,31,258801864,15902 +1814,share-of-students-at-end-of-lower-secondary-education-with-minimum-reading-proficiency,map,,b431320803d560667b8bdd2c7d2a7436,share-of-students-at-end-of-lower-secondary-education-with-minimum-reading-proficiency_v19_850x600.svg,4,18,242995720,20449 +1815,share-of-students-in-early-primary-education-achieving-minimum-reading-proficiency,map,,72b1fbbc3c79f85f333ee54aa8535d4d,share-of-students-in-early-primary-education-achieving-minimum-reading-proficiency_v15_850x600.svg,4,26,184131104,4559 +1816,share-of-students-in-early-primary-education-achieving-minimum-math-proficiency,map,,1c7d9b83296d4f9092f110144672bbe1,share-of-students-in-early-primary-education-achieving-minimum-math-proficiency_v13_850x600.svg,1,8,252733136,4608 +1817,share-of-students-at-end-of-primary-education-achieving-minimum-math-proficiency,map,,4e2e96af6df610a11e5ab7a6896c5576,share-of-students-at-end-of-primary-education-achieving-minimum-math-proficiency_v12_850x600.svg,2,16,264167736,11709 +1821,incidence-of-malaria,map,,3d6073f3cbd2fbdef8abc48f27e3c557,incidence-of-malaria_v17_850x600.svg,5,21,243401056,83161 +1822,malaria-death-rates,LineChart,,5edbb84def1586fa6eec8444d4ec1076,malaria-death-rates_v26_850x600.svg,11,22,257473496,280586 +1825,malaria-deaths-comparisons,ScatterPlot,,458b9a544a93dac2350dad625e696d5a,malaria-deaths-comparisons_v38_850x600.svg,479,864,312175008,2208735 +1827,malaria-deaths-by-region,StackedArea,,3f7b118b92f8246f3a59ca58da4360aa,malaria-deaths-by-region_v24_850x600.svg,39,53,271654616,285963 +1828,hiv-death-rates,map,,70482508f84cd40d0107d01f1291ab53,hiv-death-rates_v27_850x600.svg,12,30,391002648,315369 +1829,hiv-death-rates-by-age,LineChart,,b1d0f47bcfeb20d644ba7cde0e5cc17f,hiv-death-rates-by-age_v24_850x600.svg,103,114,288576032,1955919 +1830,tuberculosis-deaths-by-age,StackedArea,,4ae8762764ca9f3c9713c353958735f6,tuberculosis-deaths-by-age_v26_850x600.svg,168,179,272488048,1613503 +1831,tuberculosis-death-rates,map,,9c9c13ea0f2015651da5e58643e0a563,tuberculosis-death-rates_v33_850x600.svg,10,47,358367352,312639 +1832,tuberculosis-death-rates-by-age,LineChart,,8e1f5bb6d96d83e513ea8ddb57e0ce69,tuberculosis-death-rates-by-age_v26_850x600.svg,105,113,388435816,1617507 +1833,homicides-ihme,map,,11b1881ad23d8949af2bd792e8e3dabf,homicides-ihme_v30_850x600.svg,12,26,396899992,320156 +1836,internally-displaced-persons-from-disasters,map,,882460f02d7ce785756662a8ee7d4e02,internally-displaced-persons-from-disasters_v17_850x600.svg,4,14,277645008,52911 +1837,parents-who-agree-with-spanking-to-discipline-a-child,StackedArea,,e782ad10f2eec55a5a2ac727de13c39f,parents-who-agree-with-spanking-to-discipline-a-child_v5_850x600.svg,4,16,236483024,2682 +1841,gold-production,LineChart,,128c73964b33c3e85f85c3676ec83a74,gold-production_v2_850x600.svg,68,78,374462312,934532 +1845,aviation-fatalities-per-million-passengers,LineChart,,db3c45924d5dbcfd81fb338447927a25,aviation-fatalities-per-million-passengers_v14_850x600.svg,1,6,243278624,1804 +1846,fatal-airliner-accidents-per-million-flights,LineChart,,4b7f088dcd456f59f94a12287e590e56,fatal-airliner-accidents-per-million-flights_v12_850x600.svg,1,9,285510488,1784 +1847,air-passengers-per-fatality,LineChart,,a90c30a9f0b0754a3102539b13b6a3d8,air-passengers-per-fatality_v12_850x600.svg,2,11,236068440,1799 +1849,number-of-one-year-olds,StackedArea,,b7053006464c9024ac510fa34ebbf696,number-of-one-year-olds_v14_850x600.svg,192,200,424616280,1125808 +1850,number-injured-from-disasters,StackedBar,,99be301372e17a89abf4d2eda69ae2d1,number-injured-from-disasters_v13_850x600.svg,3,15,283282704,34626 +1851,number-homeless-from-natural-disasters,StackedBar,,56b7f499a2aab026de4981d3b1abad4f,number-homeless-from-natural-disasters_v16_850x600.svg,4,20,238772752,35480 +1853,total-affected-by-natural-disasters,StackedBar,,8c31ff3034f2d88c20b61e21de72a639,total-affected-by-natural-disasters_v13_850x600.svg,4,28,526524248,37706 +1860,natural-resource-rents,LineChart,,6d5cd978a7622b0f4c2e0d35bb3a5e53,natural-resource-rents_v12_850x600.svg,13,19,272493664,330591 +1872,suicide-vs-violent-deaths,ScatterPlot,,36944853b7f001fc20622acbb3eb0a22,suicide-vs-violent-deaths_v48_850x600.svg,677,1092,388467816,2484129 +1879,agricultural-producer-support,map,,34d03f30435d9cb0f54fd1cfd0f35f00,agricultural-producer-support_v2_850x600.svg,1,36,299494120,3385 +1880,agricultural-general-services-support,map,,0d9ee4ae2593aacb9b76edfb295928ad,agricultural-general-services-support_v2_850x600.svg,1,47,277115272,3132 +1882,gender-gap-in-average-wages-ilo,DiscreteBar,,c92f9009037cbf510e2539032e5eff26,gender-gap-in-average-wages-ilo_v7_850x600.svg,1,10,519480968,11951 +1884,female-share-of-low-pay-earners,DiscreteBar,,7fbf9942b793124a412a0b37733d5713,female-share-of-low-pay-earners_v11_850x600.svg,1,5,384089520,4250 +1885,cardiovascular-death-rate-vs-gdp-per-capita,ScatterPlot,,fbce2d570ff2490f31d81ce499bef58f,cardiovascular-death-rate-vs-gdp-per-capita_v44_850x600.svg,607,1021,148713840,2601715 +1887,road-death-rate-vs-gdp-per-capita,ScatterPlot,,d3431ecfec4069c98c95a7eb734bb28d,road-death-rate-vs-gdp-per-capita_v33_850x600.svg,603,1033,162600456,2377308 +1888,malnutrition-death-rate-vs-gdp-per-capita,ScatterPlot,,857b6097961f9efc18688f56da05d287,malnutrition-death-rate-vs-gdp-per-capita_v35_850x600.svg,588,924,513442608,2380676 +1891,gender-gap-in-average-wages-2000-vs-2015,ScatterPlot,,f71e45f9bcd90ee69de0c0746ea1bd6c,gender-gap-in-average-wages-2000-vs-2015_v19_850x600.svg,798,1186,445032904,1877768 +1895,temperature-anomaly,LineChart,,33a570b2ab7ed3878fd803bdd319a1e6,temperature-anomaly_v31_850x600.svg,9,16,286557840,59189 +1897,net-enrollment-rate-pre-primary,map,,fa2b4854fea210d3a28e69666ec5be04,net-enrollment-rate-pre-primary_v11_850x600.svg,4,20,282342936,76523 +1898,net-enrollment-pre-primary-boys-vs-girls,ScatterPlot,,fd81ce3c629c4fd0e3aabc24c9c85f2b,net-enrollment-pre-primary-boys-vs-girls_v21_850x600.svg,32,74,294059720,156538 +1899,share-graduates-stem-female,map,,fbebd300c6a530c88a02f241ea57a16e,share-graduates-stem-female_v13_850x600.svg,4,17,282881968,39111 +1900,uranium-production,map,,828d705990c955ec4fda8ca1b8faa34e,uranium-production_v4_850x600.svg,3,10,427549104,21280 +1901,diamond-production,map,,3d269c2090dd09495d3d8968bc104339,diamond-production_v2_850x600.svg,2,13,274159744,30673 +1902,water-productivity,map,,39a25bfea72ab9404e319a722dd4d72e,water-productivity_v16_850x600.svg,11,26,297489072,206327 +1903,average-precipitation-per-year,map,,33d73ae3d3eddaf77758813635c92b19,average-precipitation-per-year_v14_850x600.svg,21,35,427228128,282638 +1904,statistical-capacity-indicator,map,,d3964466ec6f1fe452d02d924cdbbdb2,statistical-capacity-indicator_v7_850x600.svg,3,13,292912728,78344 +1908,adequacy-of-social-insurance-programs,map,,df960a9986d5e50f40bf215fc1c31b74,adequacy-of-social-insurance-programs_v12_850x600.svg,2,14,294541928,14438 +1910,adequacy-of-social-safety-net-programs,map,,97ab8d414d611eea971dc62c0f03340f,adequacy-of-social-safety-net-programs_v10_850x600.svg,3,11,242506600,14343 +1913,disaster-risk-reduction-progress,map,,e0fb345d48cdc95843914e39fc0b79ad,disaster-risk-reduction-progress_v9_850x600.svg,2,10,287270496,2354 +1914,energy-intensity-by-sector,LineChart,,4cb80c5271f2e1e9647e4d7a2493a9e3,energy-intensity-by-sector_v8_850x600.svg,39,52,433767408,791874 +1915,health-expenditure-government-expenditure,map,,a2aa89de3437d89bac770281d72bd209,health-expenditure-government-expenditure_v16_850x600.svg,11,33,301177776,124248 +1918,power-outages-in-firms-per-month,map,,d7680a9921883eaf3fcaa76c405f399a,power-outages-in-firms-per-month_v12_850x600.svg,2,26,240662688,9342 +1919,surgeons-per-100000,map,,12e24970c8dca97727cd834c9e83feb7,surgeons-per-100000_v11_850x600.svg,3,23,285046184,9140 +1924,suicide-rate-vs-income-inequality,ScatterPlot,,191a079fa500e8d3fd29fc40b3ffb0b7,suicide-rate-vs-income-inequality_v70_850x600.svg,831,1225,256529368,2709115 +1929,anxiety-disorders-prevalence-vs-gdp,ScatterPlot,,182d8c5b0feb2f49012643f217d079c0,anxiety-disorders-prevalence-vs-gdp_v42_850x600.svg,600,928,413602376,2311607 +1940,share-of-population-with-severe-food-insecurity,map,,f41ae463b6fab5a78dfa1a2a4e9ee4b8,share-of-population-with-severe-food-insecurity_v12_850x600.svg,4,15,238122168,31775 +1941,share-of-population-with-moderate-or-severe-food-insecurity,map,,aa3b37d05199689a57859e5f74e0755a,share-of-population-with-moderate-or-severe-food-insecurity_v13_850x600.svg,2,78,284476384,32168 +1942,number-of-people-severely-food-insecure,map,,ff441b47ef8dabbfee15654d3d151745,number-of-people-severely-food-insecure_v14_850x600.svg,13,44,233373808,30593 +1943,number-of-people-moderately-or-severely-food-insecure,map,,93839b5e869cf5d55bb0ca1c4d954b67,number-of-people-moderately-or-severely-food-insecure_v10_850x600.svg,3,9,281077296,31994 +1944,number-of-severely-food-insecure-people-by-region,StackedArea,,619fc6cdb891fd82a08e0637b5a3caf5,number-of-severely-food-insecure-people-by-region_v12_850x600.svg,3,12,242474072,9694 +1946,organic-agricultural-area,LineChart,,f7cb4e865cd1db068265a7c02f5d38e8,organic-agricultural-area_v8_850x600.svg,53,66,246661104,574190 +1948,agriculture-orientation-index,map,,ac71cec642e9cfaf1f8f552cb2b39004,agriculture-orientation-index_v13_850x600.svg,4,19,291150832,126688 +1949,share-of-arable-land-which-is-organic,map,,3b3b5a8b61674a07f972dfec016ed72b,share-of-arable-land-which-is-organic_v5_850x600.svg,9,21,292236128,93181 +1951,hepatitis-death-rate,map,,d0634dade8a3a1042470bdb5cd17115d,hepatitis-death-rate_v20_850x600.svg,25,42,604767184,329167 +1959,death-rate-from-unsafe-sanitation,map,,3354cb485266bc011c0ba916cff10826,death-rate-from-unsafe-sanitation_v23_850x600.svg,9,26,253637784,241781 +1960,death-rate-from-poisonings,map,,939d5938fad6f23b92e173de4d110818,death-rate-from-poisonings_v17_850x600.svg,4,14,288948328,26761 +1961,death-rate-smoking,map,,f5c91bfe5bba88689277ba5787f7c7be,death-rate-smoking_v25_850x600.svg,10,28,298750096,237154 +1962,gdp-per-capita-world-bank-vs-maddison-project,ScatterPlot,,9295c12c9a3e0017e383f6e52a8f6099,gdp-per-capita-world-bank-vs-maddison-project_v26_850x600.svg,1342,2392,542266432,2767185 +1963,weekly-work-hours-vs-gdp-per-capita,ScatterPlot,,4e9e0d283773a8951fb729045a2b9db1,weekly-work-hours-vs-gdp-per-capita_v15_850x600.svg,759,1340,306012152,667495 +1965,nurses-and-midwives-per-1000-people,map,,07c50fd4d4c0a2746450dab0a92702d9,nurses-and-midwives-per-1000-people_v13_850x600.svg,6,24,290508672,85082 +1966,physicians-per-1000-people,map,,2e0ec74ab72197e2acd1655b3109acc9,physicians-per-1000-people_v17_850x600.svg,10,36,315421032,144127 +1971,proportion-of-children-developmentally-on-track,map,,327054584bb339917de62698accf1165,proportion-of-children-developmentally-on-track_v14_850x600.svg,1,9,284402792,2441 +1973,proportion-with-ict-skills-in-presentations,map,,fc48b574aeb55ca2097396c1cb85e090,proportion-with-ict-skills-in-presentations_v14_850x600.svg,1,8,300618128,7674 +1975,number-of-child-deaths-slope-chart,SlopeChart,,a0750ad0ad8b26444059ecd88f4bf0d8,number-of-child-deaths-slope-chart_v18_850x600.svg,41,69,326909592,368254 +1976,proportion-with-ict-skills-by-sex,ScatterPlot,,cdecb4531badaefa5c8cf96ac7bca8f0,proportion-with-ict-skills-by-sex_v25_850x600.svg,9,31,293074976,24662 +1978,risk-of-impoverishing-expenditure-for-surgical-care,map,,8a0c9e1473a38fcba706070c067300f4,risk-of-impoverishing-expenditure-for-surgical-care_v11_850x600.svg,6,19,302533984,71350 +1984,school-life-expectancy-primary-gender-parity-index-gpi,map,,816c243fe6aae8592338434d6d73c912,school-life-expectancy-primary-gender-parity-index-gpi_v18_850x600.svg,9,36,342709064,227165 +1985,net-enrollment-rate-primary-gender-parity-index-gpi,map,,8d6fdd78b7251d2f64641bb08156f68b,net-enrollment-rate-primary-gender-parity-index-gpi_v22_850x600.svg,8,30,303618184,138079 +1987,oda-for-scholarships,map,,f8d02d0f828759ab8e4be501329a3cf2,oda-for-scholarships_v18_850x600.svg,6,17,348680768,70546 +1988,percentage-of-teachers-in-pre-primary-education-who-are-qualified,map,,4daae12be148a5bf60da923774c2da46,percentage-of-teachers-in-pre-primary-education-who-are-qualified_v11_850x600.svg,3,16,303870280,37506 +1990,percentage-of-teachers-in-secondary-education-who-are-qualified,map,,7dee0b4d40e566215ab5b929eb2eca14,percentage-of-teachers-in-secondary-education-who-are-qualified_v9_850x600.svg,2,12,352986128,28619 +1991,percentage-of-teachers-in-lower-secondary-education-who-are-qualified,map,,ac54d1459ae83af7b9cb3832e3f055fc,percentage-of-teachers-in-lower-secondary-education-who-are-qualified_v11_850x600.svg,2,14,519452632,27991 +1992,percentage-of-teachers-in-upper-secondary-education-who-are-qualified,map,,ae238909c604faf7fa0a6d8eb072626f,percentage-of-teachers-in-upper-secondary-education-who-are-qualified_v15_850x600.svg,3,14,303188776,25361 +1993,gdp-per-capita-world-bank-data-vs-penn-world-table,ScatterPlot,,99a6a1a52eb2192bb5f7c2e45fa27910,gdp-per-capita-world-bank-data-vs-penn-world-table_v38_850x600.svg,604,949,207594344,2407844 +1994,proportion-of-women-subjected-to-physical-or-sexual-violence,map,,9ca04727f73eb26e523d62046b6ec96f,proportion-of-women-subjected-to-physical-or-sexual-violence_v17_850x600.svg,3,21,517548648,2948 +1995,time-spent-in-domestic-work-female-vs-male,ScatterPlot,,a3cbc92fed4dcfef646cbeec8354c3f8,time-spent-in-domestic-work-female-vs-male_v25_850x600.svg,445,729,394098576,1860814 +1996,death-rate-from-opioid-use,map,,a581b160112f0c005adca0be7ea7afa7,death-rate-from-opioid-use_v39_850x600.svg,16,33,156790336,321389 +1998,number-of-patents-through-the-industrial-revolution,LineChart,,62fc268e392c85837bca5398c1a72e0e,number-of-patents-through-the-industrial-revolution_v4_850x600.svg,1,10,511301912,12167 +2000,cancer-death-rates-in-the-us,LineChart,,7bf644db5e0f45774f648a4922978b34,cancer-death-rates-in-the-us_v3_850x600.svg,16,31,170833664,32333 +2001,death-rate-by-age-group-in-england-and-wales,LineChart,,466f01285c3fe4d57b7f1e708c7c2aaa,death-rate-by-age-group-in-england-and-wales_v1_850x600.svg,4,14,514761376,6618 +2002,share-of-children-vaccinated-against-measles-vs-share-vaccinated-against-dpt3,ScatterPlot,,69b6a78562468ab29dc755e25f36d547,share-of-children-vaccinated-against-measles-vs-share-vaccinated-against-dpt3_v20_850x600.svg,529,803,192508624,2062726 +2003,annual-deaths-by-age-england-and-wales,StackedArea,,910d685427e7a0022382de4a43de41ba,annual-deaths-by-age-england-and-wales_v9_850x600.svg,2,12,164870400,6301 +2004,total-cancer-deaths-by-type,LineChart,,f4baf078fea3b0da951c46a10dac8f9e,total-cancer-deaths-by-type_v25_850x600.svg,587,602,286124776,9313383 +2005,completion-rate-of-lower-secondary-education,map,,1b523417c7df2b3dd02d9af505e9cc2e,completion-rate-of-lower-secondary-education_v20_850x600.svg,8,25,527719312,133830 +2006,cancer-deaths-by-type-grouped,StackedArea,,5f2df0202e87d574825bfba1896c28a2,cancer-deaths-by-type-grouped_v15_850x600.svg,609,627,299829240,4804102 +2007,twentieth-century-of-deaths-us,StackedArea,,4f913d2db6430c746761534b62746748,twentieth-century-of-deaths-us_v11_850x600.svg,3,9,519405384,7958 +2008,death-rates-through-the-20th-century,LineChart,,12193bb4b2d909683315552eb8104461,death-rates-through-the-20th-century_v17_850x600.svg,4,18,522519744,21012 +2009,informal-employment-of-total-non-agricultural-employment,map,,c86f463ba6600729537f33af238b70a7,informal-employment-of-total-non-agricultural-employment_v10_850x600.svg,3,14,526638792,29366 +2010,informal-employment-by-sex,ScatterPlot,,2b318d474645e2a73230d751d355a804,informal-employment-by-sex_v13_850x600.svg,24,61,449204104,55962 +2011,percentage-of-children-in-employment-by-sex,LineChart,,6dde06678d8c8e0b019bc919128b73b6,percentage-of-children-in-employment-by-sex_v8_850x600.svg,4,19,516956304,16483 +2012,railways-passengers-carried-passenger-km,map,,17dd0821d2fb13c6b742f52059ec10e7,railways-passengers-carried-passenger-km_v14_850x600.svg,4,22,523283232,68260 +2013,air-transport-freight-ton-km,map,,d798957bc029e106d67dd012ecb95231,air-transport-freight-ton-km_v15_850x600.svg,42,65,106935080,237682 +2014,extreme-poverty-headcount-ratio-vs-life-expectancy-at-birth,ScatterPlot,,5ab8f6f1f619524c2b2775ecb108441c,extreme-poverty-headcount-ratio-vs-life-expectancy-at-birth_v66_850x600.svg,748,1113,197949152,2517617 +2015,net-official-development-assistance-and-aid-received,map,,44cffecbf35b40c3e7a94711c546c88c,net-official-development-assistance-and-aid-received_v10_850x600.svg,11,29,469087184,327320 +2016,natural-disaster-deaths-ihme,map,,4d6fb3f77943b5c4aa8d8348ec734369,natural-disaster-deaths-ihme_v26_850x600.svg,13,30,467935144,281216 +2017,fish-species-threatened,map,,7b7d69f81153a9dc798e941b3c71a89c,fish-species-threatened_v13_850x600.svg,5,12,122752368,6167 +2018,bribery-incidence-for-firms,map,,5b7a69f13cf83bb7623d27fab592a5ad,bribery-incidence-for-firms_v12_850x600.svg,3,16,464826064,9605 +2020,foreign-direct-investment-net-outflows-as-share-of-gdp,map,,d40be379ef3d06e79cc99beaab57ff01,foreign-direct-investment-net-outflows-as-share-of-gdp_v18_850x600.svg,15,30,119055960,259133 +2022,tariff-rate-applied-weighted-mean-all-products,LineChart,,8ecb0cda52298bb10c92c8630cb4941a,tariff-rate-applied-weighted-mean-all-products_v9_850x600.svg,10,22,459082440,118318 +2024,tariff-rates,LineChart,,06c6c0c26d45d9119ebb1130c4b25e35,tariff-rates_v10_850x600.svg,41,48,124514704,337058 +2025,population-census-world-bank,map,,633fb17e1ed181f8c35966624cf510ec,population-census-world-bank_v11_850x600.svg,3,13,462164904,50105 +2026,number-of-estimated-paralytic-polio-cases-by-world-region,StackedArea,,fab18708a0ea6634e2402483bbdf9b51,number-of-estimated-paralytic-polio-cases-by-world-region_v40_850x600.svg,34,46,470427864,206520 +2027,reported-vs-estimated-total-number-of-paralytic-polio-cases-globally,LineChart,,6ad62e2a33d40989ada330f2dbbe5d97,reported-vs-estimated-total-number-of-paralytic-polio-cases-globally_v15_850x600.svg,38,46,128486648,410818 +2028,population,LineChart,,e4f2b8d60e44466be57d5663b72027eb,population_v53_850x600.svg,131,155,282530688,1844181 +2030,deaths-from-substance-use-disorders,StackedArea,,7d46a752bb9a27fa723ebadcbfa14a4d,deaths-from-substance-use-disorders_v31_850x600.svg,97,107,479335424,643112 +2035,deaths-from-alcohol-use-disorders,map,,6ed1b67816a433fb76a421f5abdbe68a,deaths-from-alcohol-use-disorders_v22_850x600.svg,11,25,148847352,320886 +2036,death-rates-from-alcohol-use-disorders,map,,cfab53352caf6b59f6c762ed6669d370,death-rates-from-alcohol-use-disorders_v25_850x600.svg,15,33,147136216,315026 +2037,economic-complexity-rankings,map,,5ef976b93d5537b0bd5de65cf497d9b8,economic-complexity-rankings_v13_850x600.svg,7,28,496255184,149345 +2038,eci-ranking-vs-gdp-per-capita,ScatterPlot,,4adb8fe938780bbf66e80fcdd6455b9b,eci-ranking-vs-gdp-per-capita_v41_850x600.svg,539,868,260821728,2221885 +2039,deaths-from-smallpox-per-1000-population,LineChart,,2cc860f5b3aeb56a53db42720af5b14e,deaths-from-smallpox-per-1000-population_v20_850x600.svg,2,12,277360696,11366 +2040,gender-gap-in-hourly-wages-vs-ratio-of-female-to-male-labor-force-participation,ScatterPlot,,6e1cf6d3917bbee9648ac9aa79b0a25b,gender-gap-in-hourly-wages-vs-ratio-of-female-to-male-labor-force-participation_v20_850x600.svg,460,747,590392888,2088210 +2041,direct-economic-loss-attributed-to-disasters,map,,35a886904d7dec9dd36472e9e5e2194d,direct-economic-loss-attributed-to-disasters_v11_850x600.svg,5,16,282866248,45762 +2042,share-of-children-who-are-overweight,map,,206e7cb0ea1b42543735f836ff37cb3b,share-of-children-who-are-overweight_v21_850x600.svg,4,18,405046944,109911 +2043,proportion-of-animal-breeds-genetic-conservation,map,,fdb84d6755d0122ba94d5f21798a9bc1,proportion-of-animal-breeds-genetic-conservation_v23_850x600.svg,4,9,290074696,20107 +2044,proportion-of-local-breeds-at-risk-of-extinction,map,,6d9a55c2fdec100fc5e5884dff4142f8,proportion-of-local-breeds-at-risk-of-extinction_v22_850x600.svg,4,12,283718088,66811 +2045,number-of-accessions-of-plant-genetic-resources-secured-in-conservation-facilities,map,,9994f2fc1c53efbb0b87bd8e59a41fc3,number-of-accessions-of-plant-genetic-resources-secured-in-conservation-facilities_v16_850x600.svg,3,16,306533104,44844 +2046,total-financial-assistance-and-flows-for-agriculture-by-recipient,map,,83a865f62a91b06e4b043bc56a9b5954,total-financial-assistance-and-flows-for-agriculture-by-recipient_v22_850x600.svg,6,18,408102632,100675 +2048,status-of-the-development-and-implementation-of-integrated-national-water-resource-management-plans,DiscreteBar,,8240e47e2d082e989c45fd0647b5dafa,status-of-the-development-and-implementation-of-integrated-national-water-resource-management-plans_v12_850x600.svg,2,15,282027216,3979 +2049,total-oda-for-water-supply-and-sanitation-by-recipient,map,,e09c1f0d4ac7584f5e539728fb812efe,total-oda-for-water-supply-and-sanitation-by-recipient_v22_850x600.svg,4,20,271447784,96349 +2050,proportion-of-population-with-basic-handwashing-facilities-on-premises,map,,5b6cae4bf7cc215b27ac62b53e2054b9,proportion-of-population-with-basic-handwashing-facilities-on-premises_v24_850x600.svg,3,19,288433768,55851 +2051,proportion-with-basic-handwashing-facilities-urban-vs-rural,ScatterPlot,,bead77fc25d292d30e3f6e8a32f3eb40,proportion-with-basic-handwashing-facilities-urban-vs-rural_v25_850x600.svg,471,736,424664112,1961621 +2052,growth-rate-of-real-gdp-per-employed-person,map,,95ae1b8a2d1498b94f210336141abb88,growth-rate-of-real-gdp-per-employed-person_v20_850x600.svg,8,20,401572520,134566 +2053,non-fatal-occupational-injuries-per-100000,map,,8f9ea512d14bc45e1263e014ebcc4714,non-fatal-occupational-injuries-per-100000_v19_850x600.svg,2,18,286717200,35086 +2054,fatal-occupational-injuries-among-employees,map,,a62a85cc79f4e29d94c5f675f29b621c,fatal-occupational-injuries-among-employees_v21_850x600.svg,3,10,288992360,34161 +2055,total-oda-for-aid-for-trade-by-recipient,map,,0c59a7b7cf8400e955d4194ff0507142,total-oda-for-aid-for-trade-by-recipient_v26_850x600.svg,7,23,405013928,80359 +2056,total-oda-for-aid-for-trade-by-donor,map,,6a77383c2440ccaa96f74e4fa2cf0f20,total-oda-for-aid-for-trade-by-donor_v23_850x600.svg,3,10,208724552,13560 +2057,total-oda-for-infrastructure-by-recipient,map,,382b370d7c61958905e68d3641ef3429,total-oda-for-infrastructure-by-recipient_v20_850x600.svg,6,20,279522296,103020 +2058,total-manufacturing-value-added-from-high-tech,map,,dd5375d63f741ed1191c3a134140449c,total-manufacturing-value-added-from-high-tech_v13_850x600.svg,6,21,290440032,102988 +2059,labor-share-of-gdp,map,,dffb5f8b67336c6aac99c88994377788,labor-share-of-gdp_v21_850x600.svg,5,21,411283672,98083 +2060,total-number-of-deaths-by-cause,StackedArea,,1597554ccdca2b77ff67ca730bed9c34,total-number-of-deaths-by-cause_v30_850x600.svg,119,133,221334432,958746 +2064,number-of-reported-guinea-worm-dracunculiasis-cases,LineChart,,e957dea88d5c72b27822d3a66e5568a9,number-of-reported-guinea-worm-dracunculiasis-cases_v33_850x600.svg,16,31,310553488,221223 +2065,global-case-numbers-of-infectious-diseases,LineChart,,6b3fd22aa927fa12998ca47fcdb0f465,global-case-numbers-of-infectious-diseases_v40_850x600.svg,62,79,289126024,686589 +2067,male-to-female-ratio-of-high-school-courses-in-math-and-science,LineChart,,258cbcd469fbc41a123c8f57bc3c8a2e,male-to-female-ratio-of-high-school-courses-in-math-and-science_v7_850x600.svg,3,28,279611464,558 +2070,proportion-of-members-of-developing-countries-in-international-organizations,LineChart,,3af379b101ca28423f642b52a90f198d,proportion-of-members-of-developing-countries-in-international-organizations_v23_850x600.svg,44,57,215626296,377991 +2071,total-assistance-for-development-by-recipient,map,,5b0b81acaa73286281c9b9f7deab3ae9,total-assistance-for-development-by-recipient_v21_850x600.svg,12,23,403928952,99942 +2072,total-assistance-for-development-by-donor,map,,522412b48060ccecfb98f934ddb71d36,total-assistance-for-development-by-donor_v20_850x600.svg,4,13,316472008,28503 +2073,remittance-costs-as-share-of-amount-remitted,map,,3dc4e0953a8038e4a23e76f9e89d18c6,remittance-costs-as-share-of-amount-remitted_v17_850x600.svg,3,12,294441224,8498 +2074,direct-disaster-economic-loss,map,,453cd379476500a0cb043cade2cdbc1b,direct-disaster-economic-loss_v7_850x600.svg,4,14,409029272,45762 +2075,direct-disaster-loss-as-a-share-of-gdp,map,,056ab6c98d95e789cec56030c5e15d8f,direct-disaster-loss-as-a-share-of-gdp_v21_850x600.svg,5,16,291277488,37620 +2076,proportion-of-population-served-by-municipal-waste-collection,DiscreteBar,,16abd402bab44d42ec3e28442e64b1e0,proportion-of-population-served-by-municipal-waste-collection_v20_850x600.svg,2,12,324448824,496 +2077,countries-with-legislative-regulatory-provisions-for-managing-disaster-risk,map,,952acc4470b988f476c53e5e6173b504,countries-with-legislative-regulatory-provisions-for-managing-disaster-risk_v24_850x600.svg,3,11,219907712,17405 +2078,material-footprint-per-capita,LineChart,,a7c858c63b963fb756072d6a38ab5be6,material-footprint-per-capita_v17_850x600.svg,1,16,314886136,650 +2079,material-footprint-per-unit-of-gdp,LineChart,,abedf417d4cbd0e2ce0c52d6008cedf6,material-footprint-per-unit-of-gdp_v18_850x600.svg,2,11,285256272,633 +2080,domestic-material-consumption-per-capita,map,,6e7a66ead298bd03fb18191fb04acbf1,domestic-material-consumption-per-capita_v23_850x600.svg,7,25,294908080,128191 +2083,share-of-students-in-top-pisa-mathematics-score-level-male-vs-female,ScatterPlot,,2c44be45aac0cb81cad1b9504a2258a4,share-of-students-in-top-pisa-mathematics-score-level-male-vs-female_v24_850x600.svg,440,685,395289680,1879008 +2084,domestic-material-consumption-per-unit-of-gdp,map,,ad5fdb07601ab655e208245322d5376f,domestic-material-consumption-per-unit-of-gdp_v17_850x600.svg,7,22,422380288,126024 +2085,parties-to-multilateral-agreements-on-hazardous-waste,DiscreteBar,,0fef3f2692ccb81ba76f94cba867af21,parties-to-multilateral-agreements-on-hazardous-waste_v16_850x600.svg,7,19,319073808,43934 +2086,fish-stocks-within-sustainable-levels,StackedArea,,931ead092d62fa3a19f4b95d525fcc06,fish-stocks-within-sustainable-levels_v31_850x600.svg,8,15,232673008,13847 +2087,protected-terrestrial-biodiversity-sites,map,,fed3778d72fcfcbbeedbcbd26aca822e,protected-terrestrial-biodiversity-sites_v23_850x600.svg,10,30,336140072,169475 +2088,proportion-of-important-sites-for-freshwater-biodiversity-covered-by-protected-areas,map,,b2d0734c94a813d5ee63d4dd684be607,proportion-of-important-sites-for-freshwater-biodiversity-covered-by-protected-areas_v17_850x600.svg,6,19,235321336,117256 +2089,proportion-of-forest-area-with-long-term-management-plan,map,,0c6505fbe47048260c95176976a4318c,proportion-of-forest-area-with-long-term-management-plan_v20_850x600.svg,5,14,239458240,31565 +2090,proportion-of-forest-area-within-legally-established-protected-areas,map,,375bf9ebc0efe55a2006db5d96870768,proportion-of-forest-area-within-legally-established-protected-areas_v22_850x600.svg,4,17,292446896,39499 +2091,proportion-of-forest-area-certified-under-an-independently-verified-certification-scheme,map,,5572514cf8c678476a04ad2ec755cab4,proportion-of-forest-area-certified-under-an-independently-verified-certification-scheme_v20_850x600.svg,4,18,426686408,79285 +2092,forest-area-net-change-rate,map,,fe649b340f6e352ed46bba54f10b6627,forest-area-net-change-rate_v22_850x600.svg,3,15,232087848,13778 +2093,above-ground-biomass-in-forest-per-hectare,map,,bc7d5de0c10c5cd9fda4020119f72070,above-ground-biomass-in-forest-per-hectare_v16_850x600.svg,4,11,340694560,51855 +2094,coverage-by-protected-areas-of-important-sites-for-mountain-biodiversity,map,,348ef2b64f447da339a536163d3f323b,coverage-by-protected-areas-of-important-sites-for-mountain-biodiversity_v24_850x600.svg,7,20,239854016,130972 +2095,mountain-green-cover-index,map,,a5ec1bff5df8c99c8962e8f5f3df8cfd,mountain-green-cover-index_v18_850x600.svg,2,12,290549088,29865 +2096,red-list-index,map,,8cdc100156e5c67897fddeece57370e7,red-list-index_v22_850x600.svg,20,34,430673296,225756 +2097,countries-to-access-and-benefit-sharing-clearing-house,map,,b0960c13a91122775f8a99989a85c994,countries-to-access-and-benefit-sharing-clearing-house_v21_850x600.svg,2,15,231820184,14520 +2098,countries-to-the-international-treaty-on-plant-genetic-resources,map,,297f073f717980af5104e629feeeaa03,countries-to-the-international-treaty-on-plant-genetic-resources_v22_850x600.svg,6,14,336543392,73589 +2099,countries-that-are-parties-to-the-nagoya-protocol,map,,b9a07276f0932ab4bc7297e869b28a43,countries-that-are-parties-to-the-nagoya-protocol_v25_850x600.svg,3,14,284373616,12879 +2100,total-oda-for-biodiversity-by-recipient,map,,a7fc3d524d9a79bae43f9f8b7d038678,total-oda-for-biodiversity-by-recipient_v22_850x600.svg,5,21,244502856,85445 +2101,total-oda-for-biodiversity-by-donor,map,,18112e72fef1efb6f8b5e2dfbb3e14cb,total-oda-for-biodiversity-by-donor_v22_850x600.svg,2,10,225466160,14479 +2102,human-trafficking-victims-under-18-years-old-male-vs-female,ScatterPlot,,b0d1f509f09200b51482589658303f3f,human-trafficking-victims-under-18-years-old-male-vs-female_v25_850x600.svg,444,735,530748712,1857797 +2103,human-trafficking-victims-over-18-years-old-male-vs-female,ScatterPlot,,c1ef6a4c4f996f2a006e3d0bf670a667,human-trafficking-victims-over-18-years-old-male-vs-female_v35_850x600.svg,468,762,450405096,1864530 +2104,unsentenced-detainees-as-proportion-of-prison-population,map,,9517c7371aadd6ea6703ae5ea56d3e32,unsentenced-detainees-as-proportion-of-prison-population_v18_850x600.svg,4,18,236118232,68350 +2105,countries-that-adopt-guarantees-for-public-access-to-information,LineChart,,7ea2afe1b165290a6cfdfb13932bcb6c,countries-that-adopt-guarantees-for-public-access-to-information_v22_850x600.svg,2,7,292905144,4107 +2106,cases-of-killed-human-rights-defenders-journalists-trade-unionists,StackedArea,,7ee3dc5624d91beac440d89b4da0ff54,cases-of-killed-human-rights-defenders-journalists-trade-unionists_v28_850x600.svg,2,27,246921144,2978 +2107,share-countries-accredited-independent-national-human-rights-institutions,LineChart,,42135c948f5569788f84e757bb221d4b,share-countries-accredited-independent-national-human-rights-institutions_v25_850x600.svg,1,10,288062696,3152 +2108,countries-with-independent-national-human-rights-institution,map,,edcc84f466744b023f908f204454cd5d,countries-with-independent-national-human-rights-institution_v33_850x600.svg,4,14,293357456,116731 +2109,official-development-assistance,map,,452df684ffada2c82dd88f00ae5bc679,official-development-assistance_v20_850x600.svg,1,7,228429208,20848 +2110,official-development-assistance-to-least-developed-countries,map,,33a234b3078cd45a1ea5397d4512c0bb,official-development-assistance-to-least-developed-countries_v18_850x600.svg,2,9,252771112,19075 +2111,official-development-assistance-as-a-share-of-donor-gross-national-income,map,,1cb160aeb0d816016bae8549eccbf74c,official-development-assistance-as-a-share-of-donor-gross-national-income_v22_850x600.svg,4,11,307609456,14335 +2112,official-development-assistance-to-least-developed-countries-as-a-share-of-donor-gross-national-income,LineChart,,bdc727052cb999e7ffd33150f9509f6b,official-development-assistance-to-least-developed-countries-as-a-share-of-donor-gross-national-income_v19_850x600.svg,2,18,247362128,18134 +2113,use-of-crf-tools-by-providers-of-dev-cooperation,DiscreteBar,,278349b3c85f3d85308b93ab4dd326bd,use-of-crf-tools-by-providers-of-dev-cooperation_v18_850x600.svg,6,14,238594200,16299 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+2124,depressive-disorders-prevalence-males-vs-females,ScatterPlot,,b2c0b68489fbc4992bcd874a20c5d8bc,depressive-disorders-prevalence-males-vs-females_v33_850x600.svg,559,878,381008904,2332167 +2126,number-suffering-from-depression-by-region,StackedArea,,d252469241d2b9dca2bd0197d76ae770,number-suffering-from-depression-by-region_v35_850x600.svg,30,48,204543104,245087 +2128,depressive-disorders-prevalence-by-age,LineChart,,47c742389000198a82af811c40d6d413,depressive-disorders-prevalence-by-age_v39_850x600.svg,209,217,257236192,3671368 +2129,share-with-alcohol-use-disorders,map,,8f951c6432593d67df647fd4e9e920aa,share-with-alcohol-use-disorders_v25_850x600.svg,13,26,597179784,241937 +2130,prevalence-of-alcohol-disorders-males-vs-females,ScatterPlot,,a0ca14365561ba40791f0af08151636a,prevalence-of-alcohol-disorders-males-vs-females_v23_850x600.svg,602,891,196343192,2338862 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+2345,years-lived-with-disability-vs-health-expenditure-per-capita,ScatterPlot,,66ea5f88383c0de7f0bd45f36ae9430f,years-lived-with-disability-vs-health-expenditure-per-capita_v22_850x600.svg,527,866,559161048,2229884 +2349,wealth-share-richest-1-percent,map,,9e4f9ce11dd19b11efd0910201917863,wealth-share-richest-1-percent_v18_850x600.svg,10,57,343585632,192905 +2352,global-meat-projections-to-2050,StackedArea,,6102f0c4eac9066d1f0add967eaa7c34,global-meat-projections-to-2050_v10_850x600.svg,3,17,227046920,9174 +2356,difference-in-the-value-of-goods-exported-to-and-imported-by-the-us,DiscreteBar,,f1135a33875a89fb86135ab74cad4606,difference-in-the-value-of-goods-exported-to-and-imported-by-the-us_v8_850x600.svg,5,19,228392248,6657 +2358,number-of-current-smokers,LineChart,,6e75e86ebe2c69f8f72dd21a983704ad,number-of-current-smokers_v1_850x600.svg,2,8,235615296,1230 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+2373,urban-vs-rural-population-safely-managed-sanitation,ScatterPlot,,1470fe2080f12cfd3f3b4d06b8400253,urban-vs-rural-population-safely-managed-sanitation_v15_850x600.svg,488,836,352948840,2039826 +2376,urban-vs-rural-population-using-at-least-basic-sanitation,ScatterPlot,,3299fc454c730c6fb5dff612a2c93bfb,urban-vs-rural-population-using-at-least-basic-sanitation_v12_850x600.svg,497,1008,143556744,2151109 +2377,number-using-at-least-basic-sanitation,LineChart,,c5f17273acd7c0b551adbc2358980b92,number-using-at-least-basic-sanitation_v6_850x600.svg,11,21,233190000,186705 +2378,sanitation-facilities-coverage,StackedArea,,32890d93e025ff73e1b46521fe08d752,sanitation-facilities-coverage_v8_850x600.svg,90,105,458987128,778658 +2379,sanitation-facilities-coverage-in-urban-areas,StackedArea,,a25a4f29dba6ff1ff74adba6eb6eb545,sanitation-facilities-coverage-in-urban-areas_v5_850x600.svg,91,105,205263616,651577 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+2456,number-of-people-with-alcohol-or-drug-use-disorders,map,,0b3bc53714b5b04071c4989e1dca27e4,number-of-people-with-alcohol-or-drug-use-disorders_v22_850x600.svg,12,26,573837248,243203 +2461,alcohol-drug-use-disorders-share-total-disease,map,,70e4f709bcb954324b993fbc3de9dcee,alcohol-drug-use-disorders-share-total-disease_v27_850x600.svg,10,26,372422472,247857 +2463,share-with-alcohol-use-disorder-vs-alcohol-consumption,ScatterPlot,,15f6e0fada0d888b2129e92c941f43fb,share-with-alcohol-use-disorder-vs-alcohol-consumption_v32_850x600.svg,613,891,210786688,2124769 +2464,share-who-dont-drink-alcohol,LineChart,,279155f97eb121ed18c2d7ccfde3c3c5,share-who-dont-drink-alcohol_v2_850x600.svg,2,7,190421384,5906 +2465,share-who-drank-alcohol-last-week,LineChart,,28817dc50ff8063dfaca3a22fec298cc,share-who-drank-alcohol-last-week_v2_850x600.svg,2,9,136415624,5903 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+2475,share-of-adults-who-drank-alcohol-in-last-year,map,,dc5782cd7a0a90c92487724ea4299438,share-of-adults-who-drank-alcohol-in-last-year_v15_850x600.svg,3,10,186992480,5339 +2477,alcohol-consumption-by-15-19-year-old-males-vs-females,ScatterPlot,,146902781ca3c0ab32f446e50f71b807,alcohol-consumption-by-15-19-year-old-males-vs-females_v19_850x600.svg,566,819,178215752,1864381 +2478,alcohol-consumption-in-15-19-year-olds,map,,1089dfdd3539daaf9d9c4d7495d5feda,alcohol-consumption-in-15-19-year-olds_v11_850x600.svg,4,11,160057272,5274 +2479,share-of-population-who-never-drink-alcohol,map,,6e01048cbe6cbbf3fc47f855b96254d3,share-of-population-who-never-drink-alcohol_v11_850x600.svg,3,9,202354936,5359 +2480,share-who-have-not-drank-alcohol-in-last-year,map,,5cd26d2abdac923920fbd4116be72936,share-who-have-not-drank-alcohol-in-last-year_v16_850x600.svg,3,9,149964256,5390 +2481,drinkers-had-a-heavy-session-in-past-30-days,map,,42efbe377b5b8fef2c279e3e5ba6c03a,drinkers-had-a-heavy-session-in-past-30-days_v12_850x600.svg,5,23,194087840,5399 +2482,alcohol-expenditure-as-share-of-total,map,,0dc1274c7a48867f6ecf63994d7e9f01,alcohol-expenditure-as-share-of-total_v11_850x600.svg,2,13,146124080,13697 +2483,share-with-alcohol-use-disorders-receiving-treatment,DiscreteBar,,bd6508371140efd7fb743f9c2772a702,share-with-alcohol-use-disorders-receiving-treatment_v8_850x600.svg,1,15,183003112,978 +2484,alcohol-attributable-fraction-of-mortality,map,,e90132a0eb133c2b854e2e97871e2ca6,alcohol-attributable-fraction-of-mortality_v11_850x600.svg,5,14,147839472,5058 +2485,share-who-drank-on-5-or-more-days-by-income,DiscreteBar,,ad459e88126448319ab3dc52910777e3,share-who-drank-on-5-or-more-days-by-income_v8_850x600.svg,3,9,153648392,5842 +2486,share-who-drank-drank-usa,LineChart,,27b7d3ee222a90054a3bce9e418d4402,share-who-drank-drank-usa_v1_850x600.svg,2,11,192950408,1661 +2488,hiv-expenditure,map,,35602cbe716ece795a9dfb080c9de7f9,hiv-expenditure_v6_850x600.svg,4,17,154494352,48686 +2490,hiv-deaths-averted-from-antiretroviral-therapy-art,map,,81a9ba019c7d366b408e83e36d57d226,hiv-deaths-averted-from-antiretroviral-therapy-art_v6_850x600.svg,11,27,192367936,142635 +2492,hivaids-deaths-and-averted-due-to-art,StackedArea,,94671c9a66ecdefc0e7fa2acc278cbf2,hivaids-deaths-and-averted-due-to-art_v23_850x600.svg,59,70,151111456,314478 +2494,new-hiv-infections-averted-due-to-pmtct,map,,029d51412e2d246facfc304832f41fbc,new-hiv-infections-averted-due-to-pmtct_v6_850x600.svg,4,12,155316600,112303 +2496,gap-to-reaching-the-target-of-art,map,,529e2c36b27d8373f493443675dbae30,gap-to-reaching-the-target-of-art_v6_850x600.svg,3,16,193713016,74127 +2498,merchandise-exports-by-destination,StackedArea,,2d85d15f9573c4f052c5e6382b03f6dc,merchandise-exports-by-destination_v6_850x600.svg,387,404,437242096,1749590 +2499,merchandise-exports-by-continent,StackedArea,,3ee489f9f123feb313e83f042590fc01,merchandise-exports-by-continent_v15_850x600.svg,659,671,279535248,3011193 +2500,lung-cancer-death-rates-males,LineChart,,23c4c257fa5355a2379f7cc986e6677a,lung-cancer-death-rates-males_v8_850x600.svg,9,16,326511336,156978 +2501,share-of-world-merchandise-trade-by-type-of-trade,StackedArea,,f62dedf4dac9a802b5674277a43e67b2,share-of-world-merchandise-trade-by-type-of-trade_v8_850x600.svg,4,21,154198872,25893 +2502,life-expectancy-at-birth-oecd,map,,5cbeabdc38addb4d8305eae56db32b13,life-expectancy-at-birth-oecd_v17_850x600.svg,4,19,192159296,77689 +2503,condom-use-between-men,map,,71f68d6e00b19739d900242f6a5d8835,condom-use-between-men_v7_850x600.svg,2,13,329521088,11347 +2504,condom-use-during-last-high-risk-sex,DiscreteBar,,72df66204b3e6a172295dc7ce5b2254b,condom-use-during-last-high-risk-sex_v8_850x600.svg,5,14,154047624,9556 +2505,condom-use-at-last-high-risk-sex,map,,919dfc75122c6c471f10aba0a3c2c737,condom-use-at-last-high-risk-sex_v7_850x600.svg,1,8,169378488,2407 +2506,young-people-with-knowledge-on-hiv-prevention,map,,be0814fbcd9ce4527d5bf0dec1687724,young-people-with-knowledge-on-hiv-prevention_v7_850x600.svg,2,17,188635528,3728 +2507,knowledge-hiv-prevention-in-males-vs-females,ScatterPlot,,0dc223e0a8f4d5defd5f0c6d3ea808e7,knowledge-hiv-prevention-in-males-vs-females_v15_850x600.svg,479,734,432036656,1866753 +2508,number-of-children-orphaned-from-aids,LineChart,,fc2b60a8b19a6c429bd8ef049b112a52,number-of-children-orphaned-from-aids_v17_850x600.svg,9,18,161015760,174935 +2509,tb-patients-tested-positive-for-hiv,map,,b2c2aecde3760bf34fb23a8ba5c633e4,tb-patients-tested-positive-for-hiv_v14_850x600.svg,5,15,191045360,93288 +2510,tb-patients-living-with-hiv-receiving-art,map,,9efba7203ba2055c0b8ec2bc7ce49284,tb-patients-living-with-hiv-receiving-art_v7_850x600.svg,7,23,173002688,78852 +2511,tb-related-deaths-hiv,map,,3ec58f896d610dd09f743173c763ca1a,tb-related-deaths-hiv_v8_850x600.svg,10,23,195269264,134561 +2512,discriminatory-attitudes-towards-people-living-with-hiv,map,,52f42cee1dad98a0b163530be4c03496,discriminatory-attitudes-towards-people-living-with-hiv_v5_850x600.svg,2,10,187696512,3353 +2513,discrimination-towards-those-with-hiv-by-demographic,DiscreteBar,,dc9d0cbdedbbd0e429cc960c58dac873,discrimination-towards-those-with-hiv-by-demographic_v5_850x600.svg,5,16,171286704,22280 +2521,employment-to-population-ratio-men-vs-women,ScatterPlot,,96f02cf6b0e812e0281d4c3bf37cb62f,employment-to-population-ratio-men-vs-women_v16_850x600.svg,516,803,283047624,1991804 +2522,unadjusted-gender-wage-gap-including-unemployed,DiscreteBar,,d570e7e2ab084be913533e8861a9a272,unadjusted-gender-wage-gap-including-unemployed_v8_850x600.svg,1,6,194070008,445 +2524,household-vs-outdoor-air-pollution-death-rates,ScatterPlot,,c5002ec9d0dcabe94546cf898a8fb007,household-vs-outdoor-air-pollution-death-rates_v26_850x600.svg,68,109,198885528,488199 +2525,capital-intensity,LineChart,,8f272ae0756575dd1f304dea68600492,capital-intensity_v4_850x600.svg,4,18,195309696,75290 +2527,labor-productivity-vs-capital-intensity,LineChart,,f808ecc0efa5312739965dee87249f1c,labor-productivity-vs-capital-intensity_v4_850x600.svg,20,30,203411432,177239 +2529,new-cases-of-hiv-unaids-vs-ihme,ScatterPlot,,e9b0043de2f18516a5d8c4925440c992,new-cases-of-hiv-unaids-vs-ihme_v28_850x600.svg,504,802,321174792,2299888 +2535,prevalence-by-mental-and-substance-use-disorder,LineChart,,8e4d0db20e717d441f37e88986eea875,prevalence-by-mental-and-substance-use-disorder_v25_850x600.svg,94,100,295894104,1705267 +2536,national-gdp-fouquin-current-gbp,map,,edd10646ec4a320166a5ad3afdafddea,national-gdp-fouquin-current-gbp_v11_850x600.svg,20,41,210228864,479076 +2537,antarctic-ozone-hole-area,LineChart,,cc96006922f15b174940dacb72ddbf6b,antarctic-ozone-hole-area_v12_850x600.svg,2,7,218035768,3007 +2541,minutes-spent-on-leisure,ScatterPlot,,e7604d1372be79c283a137490a4e6889,minutes-spent-on-leisure_v36_850x600.svg,428,687,308015304,1855774 +2543,ozone-depleting-substance-consumption,StackedArea,,c4da58cd838e88a5bd8b692f6c5ade8f,ozone-depleting-substance-consumption_v15_850x600.svg,115,131,467379592,904933 +2544,countries-to-montreal-protocol-and-vienna-convention,map,,af7bad363c6e744d65728aa708fb9e9d,countries-to-montreal-protocol-and-vienna-convention_v8_850x600.svg,11,25,303871752,217846 +2546,consumption-of-ozone-depleting-substances,map,,46b8dcf7b37afc43ce3c7cee2bab0d4c,consumption-of-ozone-depleting-substances_v13_850x600.svg,15,42,301036200,165947 +2547,stratospheric-ozone-concentration,LineChart,,95ab21113f69656106b289b6296088cb,stratospheric-ozone-concentration_v11_850x600.svg,5,17,506731344,2629 +2555,excess-skin-cancer-cases-due-to-ozone-depletion,LineChart,,e37973b2dee8b6494b0df72a67ee6305,excess-skin-cancer-cases-due-to-ozone-depletion_v6_850x600.svg,1,7,309765840,1021 +2561,the-number-of-cases-of-infectious-diseases,LineChart,,c9a3e2edfc676275520a72ab96087884,the-number-of-cases-of-infectious-diseases_v41_850x600.svg,113,129,127278128,1471905 +2562,child-mortality,LineChart,,417e50afa6f016469f161e5febc88e1f,child-mortality_v31_850x600.svg,55,73,205274144,552590 +2564,military-personnel,LineChart,,07b6cb543ba7881840adeaf03ac20700,military-personnel_v28_850x600.svg,30,73,304324040,453495 +2565,military-personnel-as-a-share-of-total-population,LineChart,,c9674fcc9d1488565ab122fd7c0320d7,military-personnel-as-a-share-of-total-population_v51_850x600.svg,45,193,106365280,516217 +2566,military-spending-sipri,map,,5fe0b7f7ea54788474646984b7d1cd49,military-spending-sipri_v26_850x600.svg,17,50,226755784,302683 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+2597,capital-intensity-vs-labor-productivity,ScatterPlot,,38ef1b2141bf29622a90eead133f5756,capital-intensity-vs-labor-productivity_v14_850x600.svg,530,903,396937088,2031105 +2599,rural-land-below-5-meters,map,,e6617af0fcffc4e99147496a10babfd6,rural-land-below-5-meters_v11_850x600.svg,3,14,221074760,22199 +2600,terrain-ruggedness-index,map,,8f95324e09aa1b8338876355f0181a8b,terrain-ruggedness-index_v3_850x600.svg,3,10,317837312,6952 +2603,productivity-vs-educational-attainment,ScatterPlot,,0cf4562d4ccf72371b415d51f0fe2f90,productivity-vs-educational-attainment_v26_850x600.svg,555,918,300087424,2092872 +2604,tfp-at-constant-national-prices-20111,LineChart,,30b700bdb6489e41659ec0bff92febdd,tfp-at-constant-national-prices-20111_v14_850x600.svg,11,35,231781280,211365 +2606,depressive-disorders-prevalence-ihme-vs-who,ScatterPlot,,db456a092e9ce89613c5efe68d5dd0a6,depressive-disorders-prevalence-ihme-vs-who_v49_850x600.svg,482,787,331989104,2098779 +2607,standard-drink-measure,map,,437d173b1c649a421f361f51ea55a9ec,standard-drink-measure_v14_850x600.svg,1,8,311021360,503 +2608,beer-as-share-alcohol-consumption,map,,1e8f4bc092214fdb6339f8e9952809ed,beer-as-share-alcohol-consumption_v9_850x600.svg,3,10,121566656,5109 +2609,beer-consumption-per-person,map,,780b8777fbe6c9ca500c309b24475be6,beer-consumption-per-person_v13_850x600.svg,19,47,137906024,289334 +2610,wine-as-share-alcohol-consumption,map,,87c3788b416e0b76e134faa82759559f,wine-as-share-alcohol-consumption_v12_850x600.svg,5,10,326136792,5023 +2614,spirits-as-share-total-alcohol-consumption,map,,0fab7627e356c5ba189ed27c8d97fa3f,spirits-as-share-total-alcohol-consumption_v9_850x600.svg,6,19,231939520,5055 +2615,spirits-consumption-per-person,map,,1f3f08f291bd17ed927e17bc0cbeeaca,spirits-consumption-per-person_v12_850x600.svg,13,50,123552072,288073 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+2632,gap-in-gdp-per-hour-worked-with-respect-to-the-united-states,LineChart,,347f445e3f6d4e9a6d83ae6518564b6b,gap-in-gdp-per-hour-worked-with-respect-to-the-united-states_v3_850x600.svg,2,12,436129952,51290 +2636,refugee-population-by-country-or-territory-of-origin,map,,f2a4cea7da6b6f5e9b3cd8fbffc81049,refugee-population-by-country-or-territory-of-origin_v12_850x600.svg,8,29,334333272,201934 +2637,refugee-population-by-country-or-territory-of-asylum,map,,31c84a623bbd03dc5da8059014d913de,refugee-population-by-country-or-territory-of-asylum_v14_850x600.svg,11,27,449144152,215291 +2638,average-hours-worked-per-person-employed,LineChart,,1024562b0c188862847b92eda18b0f03,average-hours-worked-per-person-employed_v1_850x600.svg,4,16,145750712,53948 +2640,median-daily-per-capita-expenditure-vs-gdp-per-capita,ScatterPlot,,f23581a06a159374b0d69ce621087a4c,median-daily-per-capita-expenditure-vs-gdp-per-capita_v70_850x600.svg,639,1062,282703296,2159636 +2643,loan-from-a-financial-institution-poorest-40-vs-richest-60,ScatterPlot,,e5a55b70a565d608f93d93dd9aff6a4f,loan-from-a-financial-institution-poorest-40-vs-richest-60_v19_850x600.svg,505,793,263250856,2246464 +2644,share-of-adults-borrowing-from-a-financial-institution-vs-family-or-friends,ScatterPlot,,48836f22c3f2893fdd3d4307ac237b13,share-of-adults-borrowing-from-a-financial-institution-vs-family-or-friends_v20_850x600.svg,546,884,397436256,2246616 +2645,share-of-adults-borrowing-from-a-private-informal-lender,DiscreteBar,,bf0d077e06dd29d4b6d549b469abba92,share-of-adults-borrowing-from-a-private-informal-lender_v3_850x600.svg,2,6,323525432,5299 +2646,share-of-adults-borrowing-from-different-sources,DiscreteBar,,7886cd651e9348890ecbd8de7e75b2f6,share-of-adults-borrowing-from-different-sources_v2_850x600.svg,4,11,321580888,26441 +2647,ozone-depleting-substances-index,LineChart,,a9cb45324e1ccc20f6ed16992b20ef1e,ozone-depleting-substances-index_v11_850x600.svg,12,21,444528032,159200 +2648,share-of-adults-who-report-saving-money-in-the-past-year,DiscreteBar,,3345ee93124b9b7ef176d78710bf638c,share-of-adults-who-report-saving-money-in-the-past-year_v6_850x600.svg,2,5,328948576,5216 +2649,alcohol-expenditure,StackedArea,,5b477f3073ff0565cf878f9898d95e8e,alcohol-expenditure_v6_850x600.svg,3,14,327101376,16623 +2651,new-infections-with-tetanus,map,,c8538d9a4ee4cb62bd1ccff219bee6a0,new-infections-with-tetanus_v29_850x600.svg,16,33,447762112,253836 +2656,incidence-of-hiv-sdgs,map,,7b7b566638d3629edfceaaa0d0690860,incidence-of-hiv-sdgs_v27_850x600.svg,8,19,334272952,89548 +2657,incidence-of-tuberculosis-sdgs,map,,3a9723537b8768a0f4ef87bbe72ee352,incidence-of-tuberculosis-sdgs_v27_850x600.svg,8,25,328012624,141575 +2659,hepatitis-b-incidence-sdgs,map,,6ff33f47327b1923e9395516269a4bdf,hepatitis-b-incidence-sdgs_v21_850x600.svg,14,27,445405136,243957 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+2670,deaths-in-state-based-conflicts-by-region,StackedBar,,a91e44a7fefb5295a2431c6ba5bdf4f3,deaths-in-state-based-conflicts-by-region_v33_850x600.svg,2,30,314160776,13865 +2671,taxes-as-share-of-cigarette-price,map,,2956d264af4284edcf33f55dea4a180b,taxes-as-share-of-cigarette-price_v11_850x600.svg,2,11,327864968,5943 +2672,affordability-cigarettes,map,,5ad1d1aa70cc66c1dd6768596162b880,affordability-cigarettes_v10_850x600.svg,4,12,316106512,31318 +2673,tobacco-production,map,,085c49376002da50ff7131847261f1b7,tobacco-production_v12_850x600.svg,14,30,344432840,320029 +2674,share-of-cancer-deaths-attributed-to-tobacco,map,,e5d75990e80bd9665b26d3cc36f30516,share-of-cancer-deaths-attributed-to-tobacco_v22_850x600.svg,11,32,321433200,244150 +2675,enforcement-of-bans-on-tobacco-advertising,map,,64982fda2ab70122f39864ea91db44aa,enforcement-of-bans-on-tobacco-advertising_v13_850x600.svg,4,13,343727696,44850 +2676,support-to-help-to-quit-tobacco-use,map,,e0ab9dad055afd6ef0d4331e04437390,support-to-help-to-quit-tobacco-use_v14_850x600.svg,5,13,339496144,44850 +2677,share-of-tobacco-retail-price-that-is-tax,map,,057245916f49c075b688a078f917bbdc,share-of-tobacco-retail-price-that-is-tax_v11_850x600.svg,3,15,341145536,39573 +2679,consumption-shares-in-selected-non-essential-products,DiscreteBar,,f49b77a5a096847aef7c953880fa387c,consumption-shares-in-selected-non-essential-products_v9_850x600.svg,3,8,330879800,9130 +2680,share-of-tobacco-in-total-household-consumption,DiscreteBar,,57406331e832bd1ef1a3d84dd90c2371,share-of-tobacco-in-total-household-consumption_v7_850x600.svg,1,8,330060864,3086 +2681,share-expenditure-alcohol-tobacco,map,,e64bcae2c0f8c369ee58a04aeea071b6,share-expenditure-alcohol-tobacco_v7_850x600.svg,2,7,331789680,17292 +2682,country-consumption-shares-in-non-essential-products,DiscreteBar,,1943608b314224c88fb18cd77b440681,country-consumption-shares-in-non-essential-products_v4_850x600.svg,2,6,337772248,3089 +2683,share-of-alcohol-in-total-household-consumption,DiscreteBar,,93d78df31425a3d61891311424659bc5,share-of-alcohol-in-total-household-consumption_v6_850x600.svg,1,8,331002768,3053 +2685,health-provider-absence-rate,DiscreteBar,,f25e62c950fd9a5fd12ea2a149158bd9,health-provider-absence-rate_v9_850x600.svg,3,9,338622240,189 +2689,share-of-people-who-report-having-intentions-to-start-business,ScatterPlot,,03067ee9255558e87e530a20df365b4d,share-of-people-who-report-having-intentions-to-start-business_v19_850x600.svg,517,832,445315856,2096128 +2690,out-of-pocket-expenditure-per-capita-on-healthcare,map,,40ad6f2f127a0a56c2424e8c3d1a8a22,out-of-pocket-expenditure-per-capita-on-healthcare_v18_850x600.svg,5,25,330744424,140812 +2692,hdi-vs-augmented-hdi,ScatterPlot,,f6ee25af8fdcd60d202e9cc7907469ec,hdi-vs-augmented-hdi_v33_850x600.svg,562,952,470423128,2164271 +2694,sweden-life-expectancy-smallpox-deaths,LineChart,,97ffa411ed3c1e1ec359a24af45afea6,sweden-life-expectancy-smallpox-deaths_v23_850x600.svg,104,115,355773888,660118 +2695,homicide-rate,map,,cbd769361036e594450fa7463ef86b72,homicide-rate_v32_850x600.svg,18,39,412716080,320474 +2696,homicide-rates-across-western-europe,LineChart,,f858da863494ebe88f2b790cfa6e0ef9,homicide-rates-across-western-europe_v21_850x600.svg,3,12,298048592,23051 +2699,literacy-rate-adults,map,,638ecd3eb9795d48895cf165d8a19593,literacy-rate-adults_v20_850x600.svg,4,20,309190576,48768 +2700,number-of-reported-smallpox-cases,map,,56e414b0df43aa7e34eac323a3e4d08e,number-of-reported-smallpox-cases_v11_850x600.svg,6,16,405263760,112462 +2703,the-discrepancy-between-the-reported-and-actual-number-of-global-smallpox-cases,LineChart,,64358a0f95e14237903a44336acb909f,the-discrepancy-between-the-reported-and-actual-number-of-global-smallpox-cases_v4_850x600.svg,1,13,351081064,596 +2705,literacy-rate-adult-total-dhs-surveys-vs-unesco,ScatterPlot,,3ec738c77585d403cc7669db9802d603,literacy-rate-adult-total-dhs-surveys-vs-unesco_v31_850x600.svg,565,910,459434624,1906975 +2706,literacy-rate-adult-female-dhs-surveys-vs-unesco,ScatterPlot,,e452ae3232399cc91964b316ce67ea6c,literacy-rate-adult-female-dhs-surveys-vs-unesco_v24_850x600.svg,573,891,414447208,1906869 +2707,literacy-rate-adult-male-dhs-surveys-vs-unesco,ScatterPlot,,5a81d3c9bfc3dc3df226d8c719cd1594,literacy-rate-adult-male-dhs-surveys-vs-unesco_v21_850x600.svg,535,1068,135510760,1906106 +2711,drowning-death-rates-under-5,map,,1245c5989af7e2bc6c4133d77a29a494,drowning-death-rates-under-5_v21_850x600.svg,16,32,373828000,320512 +2712,global-primary-energy,StackedArea,,fc29769088c3f89061c6ac91b5bf8fa3,global-primary-energy_v25_850x600.svg,8,19,270615728,24528 +2713,insecticide-use,map,,24ff7628b12c688f09a54fbf121a7788,insecticide-use_v8_850x600.svg,14,27,370074016,232633 +2722,life-expectancy-vs-gdp-per-capita,ScatterPlot,,2fae4ad709387f7b8dd0fa601f413d1a,life-expectancy-vs-gdp-per-capita_v34_850x600.svg,1652,2739,549667072,3155688 +2723,under-5-mortality-rate-sdgs,map,,5596134601b6493656d1002c136854e4,under-5-mortality-rate-sdgs_v28_850x600.svg,20,43,369345920,458089 +2727,mortality-rate-attributable-to-wash,map,,5bae0f65fc8524e98a60d8a961c9b570,mortality-rate-attributable-to-wash_v18_850x600.svg,4,16,401102184,5707 +2729,prevalence-of-tobacco-use-sdgs,map,,44dcc8fa2d471d43d69029864a367185,prevalence-of-tobacco-use-sdgs_v29_850x600.svg,2,11,366397232,33543 +2730,prevalence-of-daily-smoking-sdgs,map,,4175399cdab1f9e718964dba0b50ce1c,prevalence-of-daily-smoking-sdgs_v6_850x600.svg,9,23,413131712,218329 +2732,dentistry-personnel-per-1000,map,,7aad509654eba34b29f1660116dd1759,dentistry-personnel-per-1000_v13_850x600.svg,4,14,375675752,58378 +2733,pharmaceutical-personnel-per-1000,map,,bd6eef082ab0ddfa61c0079df434f6bd,pharmaceutical-personnel-per-1000_v12_850x600.svg,3,13,404634528,53495 +2734,ihr-core-capacity-index-sdgs,LineChart,,0c8135e6f25019776d5f6fe30630d8c1,ihr-core-capacity-index-sdgs_v24_850x600.svg,44,56,379576128,468550 +2735,legislative-provisions-for-managing-disaster-risk,map,,2188f11c8bfae3c55bf5ae57af36982e,legislative-provisions-for-managing-disaster-risk_v25_850x600.svg,4,18,411882368,17405 +2736,prevalence-of-stunting-male-vs-female,ScatterPlot,,d4adc23fc10b32b9e95a58490aa94c97,prevalence-of-stunting-male-vs-female_v18_850x600.svg,537,810,382076784,1900643 +2737,children-who-are-overweight-sdgs,map,,c899b4099e08c8ec46abda79f0f9c901,children-who-are-overweight-sdgs_v13_850x600.svg,10,22,394223544,184447 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+2753,municipal-waste-recycling-rate,map,,050d47e61953baed20807e6bb9994801,municipal-waste-recycling-rate_v4_850x600.svg,1,9,423961320,20354 +2754,women-married-by-age-15,map,,4f2d789e88d1b80ce6d442e68a37db6e,women-married-by-age-15_v20_850x600.svg,3,12,402646472,4895 +2755,number-of-children-dying-from-diarrheal-diseases,map,,0fe0dc3e33685a9136664ce2a53f9ce5,number-of-children-dying-from-diarrheal-diseases_v30_850x600.svg,17,33,432170600,321588 +2756,hours-per-week-spent-in-market-and-non-market-work-by-sex-united-states,LineChart,,e730c2cf7f293335972f33919819abf5,hours-per-week-spent-in-market-and-non-market-work-by-sex-united-states_v2_850x600.svg,1,9,391758512,3377 +2757,hours-per-week-spent-in-leisure-united-states,LineChart,,b884ecc704ea7e3d211ef8d853c61c34,hours-per-week-spent-in-leisure-united-states_v4_850x600.svg,1,6,453716000,2053 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+2818,how-europeans-spend-their-time,DiscreteBar,,f1758b3b6701011072d372db76b344b2,how-europeans-spend-their-time_v15_850x600.svg,3,14,179110296,4270 +2822,population-younger-than-15-with-projections,LineChart,,2a1100cf8dc1bd9756481a3866f344af,population-younger-than-15-with-projections_v30_850x600.svg,201,219,519598920,1205115 +2823,co2-income-level,StackedArea,,ff1aee07757b83b00725132c531836e0,co2-income-level_v17_850x600.svg,275,290,229103744,955856 +2824,population-by-income-level,StackedArea,,94b83170992336011d92d9d472864e31,population-by-income-level_v15_850x600.svg,54,69,119981440,461390 +2825,average-weekly-hours-devoted-to-school-united-states,LineChart,,28e3ded9830a1e471d04c810ca8e82f9,average-weekly-hours-devoted-to-school-united-states_v4_850x600.svg,2,12,144494384,2033 +2826,weekly-home-production-time-by-demographic-group-united-states,LineChart,,be7111ca20fb3848d9fc7afe50badf7f,weekly-home-production-time-by-demographic-group-united-states_v7_850x600.svg,1,7,452455952,7228 +2827,average-weekly-leisure-estimates-by-age-united-states,LineChart,,49e004323c9c092afc6c9023c2c91ba2,average-weekly-leisure-estimates-by-age-united-states_v2_850x600.svg,1,9,448348144,2536 +2831,average-hours-of-work-per-week-by-industry,LineChart,,b10a5c4610616c9f7f67f88fa1fffba7,average-hours-of-work-per-week-by-industry_v7_850x600.svg,2,13,122514768,6672 +2832,time-spent-in-employment,SlopeChart,,8ee724b895b850a529f0b329b687808e,time-spent-in-employment_v16_850x600.svg,3,12,138235072,10712 +2833,time-spent-in-study,SlopeChart,,9810b3c2254076205a4a5368615430c4,time-spent-in-study_v14_850x600.svg,2,8,457985720,10698 +2834,participation-time-in-study,SlopeChart,,09046f720abac9987de50ad290653212,participation-time-in-study_v17_850x600.svg,3,8,147880680,10787 +2835,participation-time-in-travel,SlopeChart,,df8eaa63b894ec2d9e3c0ffe6f92ced3,participation-time-in-travel_v14_850x600.svg,3,11,132271328,10793 +2836,child-stunting-ihme,map,,eda379bfad088a5b7922305a83786a1a,child-stunting-ihme_v15_850x600.svg,9,22,463327392,217975 +2838,adolescent-fertility,map,,ab339dce455e3e6d1b41a84436339447,adolescent-fertility_v15_850x600.svg,4,15,139502560,69369 +2839,global-plastics-production,LineChart,,f0f9943eb7a978300a9615f1d825a1ba,global-plastics-production_v14_850x600.svg,1,6,128360232,2355 +2840,total-taxation-of-gdp,LineChart,,d673a716078edc57dfb57fa23f3cebda,total-taxation-of-gdp_v14_850x600.svg,27,37,133541752,274436 +2843,merchandise-exports-gdp-cepii,LineChart,,dfc6a4890390ea452eec32091a157529,merchandise-exports-gdp-cepii_v22_850x600.svg,23,32,393565704,444133 +2844,merchandise-imports-gdp-cepii,LineChart,,24cfb2fc3f2d9db0017586df8ad9377e,merchandise-imports-gdp-cepii_v11_850x600.svg,17,28,111146280,443514 +2846,growth-of-income-and-trade,ScatterPlot,,08a4483912c666afff5fb35dd2843b14,growth-of-income-and-trade_v33_850x600.svg,1396,2483,295030080,2951069 +2847,deaths-from-conflict-and-terrorism,map,,1597733d85c5460156aec419cb043bed,deaths-from-conflict-and-terrorism_v29_850x600.svg,14,35,152182400,286290 +2848,distribution-of-bilateral-and-unilateral-trade-partnerships,StackedArea,,08b6fd2356ef338a4f2d2f08e0a768a6,distribution-of-bilateral-and-unilateral-trade-partnerships_v18_850x600.svg,2,10,130800544,5830 +2855,child-mortality-mdgs,map,,3a566e26f1d0b18d964108be00842707,child-mortality-mdgs_v12_850x600.svg,20,43,400608272,458089 +2856,maternal-mortality-mdgs,LineChart,,7eccf4bbd2575dd464724909c0bf25b8,maternal-mortality-mdgs_v15_850x600.svg,10,21,136794352,233765 +2862,secondary-net-enrollment-gpi,map,,9df08f4fca9777379ccb5518d5643427,secondary-net-enrollment-gpi_v23_850x600.svg,5,25,114884888,77071 +2869,maternal-deaths-by-cause,StackedArea,,b498ecf017eefaf64e418680f3bddc2f,maternal-deaths-by-cause_v23_850x600.svg,324,334,229841528,3264200 +2870,prevalence-of-dementias,LineChart,,5ee0f5f6c750e058dae514f08c864582,prevalence-of-dementias_v20_850x600.svg,57,67,153252768,479511 +2879,average-harmonized-learning-outcome-scores,map,,b44f793981c8adc405031d1a4411f0d2,average-harmonized-learning-outcome-scores_v42_850x600.svg,3,11,520120032,19165 +2881,plastic-waste-generation-total,map,,66af14384a1c718087d55b34f5b33c2c,plastic-waste-generation-total_v9_850x600.svg,3,8,129808720,5156 +2882,plastic-waste-per-capita,map,,feef604449cac7a4679e2c18b748f457,plastic-waste-per-capita_v4_850x600.svg,2,12,399890528,5551 +2883,share-of-students-achieving-the-advanced-threshold-score,LineChart,,e891fc742d20e7042599b8e459490f39,share-of-students-achieving-the-advanced-threshold-score_v10_850x600.svg,2,15,514207736,18082 +2884,share-of-students-achieving-the-minimum-threshold-score,LineChart,,c442abc255b1ed404f056440d4ac298e,share-of-students-achieving-the-minimum-threshold-score_v11_850x600.svg,2,9,127302128,18541 +2885,share-of-students-achieving-the-intermediate-threshold-score,LineChart,,ee8f489c84335421ed4177dce9c18b09,share-of-students-achieving-the-intermediate-threshold-score_v11_850x600.svg,4,14,396008808,18424 +2887,cumulative-global-plastics,StackedArea,,4dd14d859fe90423ab03bc6cfa94150b,cumulative-global-plastics_v7_850x600.svg,1,6,520654816,2420 +2891,learning-outcomes-vs-gdp-per-capita,ScatterPlot,,4361c19a640b7578ecd5ec057061d9d8,learning-outcomes-vs-gdp-per-capita_v47_850x600.svg,546,846,267328816,2092660 +2892,mean-product-lifetime-plastic,DiscreteBar,,df1bf586ae01bf2e6e07896781b705a2,mean-product-lifetime-plastic_v1_850x600.svg,2,13,121693784,287 +2893,plastic-production-by-sector,StackedArea,,a9b8ee665e16dada2b42405549ea29a6,plastic-production-by-sector_v10_850x600.svg,4,16,519830600,11291 +2894,plastic-waste-by-sector,DiscreteBar,,e3a1eb472e9f76f6efe1786d906fd5a3,plastic-waste-by-sector_v11_850x600.svg,2,12,227117856,11291 +2895,plastic-fate,StackedArea,,02653ebcf17c55ceb4aa6b5ba680b87b,plastic-fate_v19_850x600.svg,8,15,407348224,26134 +2896,plastic-fate-to-2050,LineChart,,7b8ecda5771291ba27c395831098f1c0,plastic-fate-to-2050_v5_850x600.svg,2,12,132109264,6606 +2897,plastic-production-polymer,StackedArea,,4a4058280d68b4842932b5fb8be50b28,plastic-production-polymer_v15_850x600.svg,7,20,232472304,14427 +2898,plastic-waste-polymer,LineChart,,9881bb91c1fadbfebb41eb1e26c4d46c,plastic-waste-polymer_v18_850x600.svg,2,13,513195528,590 +2900,per-capita-plastic-waste-vs-gdp-per-capita,ScatterPlot,,da189ebbbfe5782791d114f0837ab867,per-capita-plastic-waste-vs-gdp-per-capita_v21_850x600.svg,572,904,253323752,2078091 +2901,share-of-students-achieving-minimum-vs-advanced-learning-outcomes,ScatterPlot,,dc76b0659d3fd276679a98bbc1d202cf,share-of-students-achieving-minimum-vs-advanced-learning-outcomes_v17_850x600.svg,602,914,220301688,1890489 +2903,globalization-over-5-centuries,LineChart,,a0fa6b648c3e8a63ab52e62e9f0b1d19,globalization-over-5-centuries_v28_850x600.svg,62,75,529442944,709318 +2904,population-by-age-group-with-projections,LineChart,,4ac0b3def69fad44b0d997342e1a5ed1,population-by-age-group-with-projections_v28_850x600.svg,873,885,358021768,7241459 +2905,participation-time-by-activity-per-day,LineChart,,c9a59ce18072e13c889f3b0435e0ec06,participation-time-by-activity-per-day_v8_850x600.svg,6,22,531659272,22531 +2907,surface-plastic-mass-by-ocean,DiscreteBar,,00c013672f3216e905ea1ac9523d8625,surface-plastic-mass-by-ocean_v5_850x600.svg,1,6,537619904,282 +2908,surface-plastic-particles-by-ocean,DiscreteBar,,7713676a3b35dc0e61be68072cfa44d7,surface-plastic-particles-by-ocean_v5_850x600.svg,1,6,528349384,333 +2909,plastic-exports-to-china,DiscreteBar,,f97e99a08610293f910c7d99413a1bb0,plastic-exports-to-china_v2_850x600.svg,1,4,534558624,424 +2910,displaced-plastic-chinese-import-ban,LineChart,,9a2756c36f00d7ea1957a29d870c1cf7,displaced-plastic-chinese-import-ban_v2_850x600.svg,1,6,528129704,567 +2911,chinese-plastic-imports,StackedBar,,9b0c323586c02c52a031c8b38a7e3e5e,chinese-plastic-imports_v5_850x600.svg,1,8,534780832,569 +2912,deaths-from-natural-disasters-by-type,StackedBar,,1eb46cd2c602df85349e615e015fa717,deaths-from-natural-disasters-by-type_v16_850x600.svg,5,64,557049912,35766 +2915,deaths-by-age-group-stacked,StackedBar,,d7bb9bf7e3838a9bef06f7d6af292a9c,deaths-by-age-group-stacked_v23_850x600.svg,139,156,266434504,1598714 +2916,income-inequality-in-latin-america,LineChart,,ec793ca3d1161e977a3bad2f43efd15e,income-inequality-in-latin-america_v29_850x600.svg,3,13,552807064,13764 +2918,tax-revenue-share-gdp-oecd-grsd,LineChart,,22d260e584148f2cdb6bf6924595caf0,tax-revenue-share-gdp-oecd-grsd_v12_850x600.svg,4,13,554123616,71519 +2919,multidrug-resistant-tuberculosis-without-extensive-drug-resistance,LineChart,,cad6f9b79ade3b996bef78d9ea58360e,multidrug-resistant-tuberculosis-without-extensive-drug-resistance_v22_850x600.svg,33,39,559379976,490551 +2920,extensively-drug-resistant-tuberculosis,LineChart,,ef00926d93fe9c1cdfcef54f41fb2a2c,extensively-drug-resistant-tuberculosis_v28_850x600.svg,152,163,105850480,495473 +2921,decomposition-rates-marine-debris,DiscreteBar,,25dc199dfd3240da26653381a3b0c9d1,decomposition-rates-marine-debris_v4_850x600.svg,2,10,592486456,443 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+2940,projected-population-under-age-5,StackedArea,,40628b2bd6bfebbef50ddf67f6da6d95,projected-population-under-age-5_v26_850x600.svg,127,145,123579672,605311 +2943,female-to-male-life-expectancy-ratio,LineChart,,f34f09d2afe31351effdb5da827ea815,female-to-male-life-expectancy-ratio_v7_850x600.svg,196,207,326990880,2005136 +2944,difference-in-female-and-male-life-expectancy-at-birth,map,,a890fef190b0ad8ff250ff301e8a0e1a,difference-in-female-and-male-life-expectancy-at-birth_v21_850x600.svg,47,91,135219656,660551 +2945,difference-in-female-and-male-life-expectancy-at-age-45,LineChart,,190a2cdea924c555edd3cfd2c91622e0,difference-in-female-and-male-life-expectancy-at-age-45_v11_850x600.svg,156,171,105683872,659887 +2946,mortality-from-ncds-gender,ScatterPlot,,ac516be13d7bf9e2b11393bdc22f3281,mortality-from-ncds-gender_v30_850x600.svg,497,773,370160560,2102223 +2947,infectious-disease-death-rates,map,,33b55cc58f0bac0d4676e69c66558ac9,infectious-disease-death-rates_v23_850x600.svg,17,41,142396968,311146 +2948,female-minus-male-life-expectancy-vs-non-communicable-disease-death-rates,ScatterPlot,,f411bbd5f5c60552e0cc6ed14bc676fe,female-minus-male-life-expectancy-vs-non-communicable-disease-death-rates_v33_850x600.svg,578,873,482327760,2833600 +2952,earnings-of-tertiary-educated-workers-relative-to-workers-with-upper-secondary-education,DiscreteBar,,73880cb475626c0f66dc914fb6ef3542,earnings-of-tertiary-educated-workers-relative-to-workers-with-upper-secondary-education_v25_850x600.svg,1,15,98446056,1310 +2953,average-hours-of-work-per-day-by-industry,DiscreteBar,,48ad230c7c5703d47a12161395fa7faa,average-hours-of-work-per-day-by-industry_v3_850x600.svg,1,8,149156968,687 +2954,average-daily-hours-of-work-in-winter-by-industry,DiscreteBar,,992b55f642007d84833c51ac35ea45f3,average-daily-hours-of-work-in-winter-by-industry_v7_850x600.svg,1,8,233079656,687 +2955,average-daily-minutes-of-work-in-summer-by-industry,DiscreteBar,,94ab91630d40e3b3458349c6035bae70,average-daily-minutes-of-work-in-summer-by-industry_v8_850x600.svg,1,8,105464896,687 +2956,grocery-bag-comparisons-ghg,DiscreteBar,,9b1fcba2c107c4b20bae1677d9e5c714,grocery-bag-comparisons-ghg_v5_850x600.svg,1,5,137305832,341 +2957,grocery-bag-environmental-impact,DiscreteBar,,d8c53eb87cac0452118f5138c5562884,grocery-bag-environmental-impact_v12_850x600.svg,2,37,239403624,2140 +2958,average-daily-hours-worked-by-industry-united-states,LineChart,,12d8cfa61b7c85d2b6f7a866fb631c88,average-daily-hours-worked-by-industry-united-states_v2_850x600.svg,2,7,261886808,1243 +2959,average-daily-hours-of-work-by-occupation-united-states,LineChart,,95d6b081f08f877d5a1fa63e4a56aa42,average-daily-hours-of-work-by-occupation-united-states_v1_850x600.svg,1,6,145725104,900 +2975,participation-time-in-employment-per-day,SlopeChart,,2e432bd27cecfd5f099a50caf70afa4d,participation-time-in-employment-per-day_v11_850x600.svg,4,15,101079536,10787 +2976,participation-time-in-household-and-family-care-per-day,SlopeChart,,6c9b9217ce961eabf9f8b5ea9da84242,participation-time-in-household-and-family-care-per-day_v9_850x600.svg,3,11,221202264,10792 +2977,participation-time-in-leisure-social-and-associative-life-per-day,SlopeChart,,b30b904ec824ba3ed5015bfd8291c635,participation-time-in-leisure-social-and-associative-life-per-day_v9_850x600.svg,3,15,345485520,10794 +2978,time-spent-on-leisure-social-and-associative-life-per-day,SlopeChart,,abd62fe19f6c7e7ae2b971e310186212,time-spent-on-leisure-social-and-associative-life-per-day_v9_850x600.svg,3,13,141535216,10709 +2979,participation-time-in-personal-care-per-day,SlopeChart,,fe5e57f10365e55e7aabcc6ef21622a7,participation-time-in-personal-care-per-day_v9_850x600.svg,2,8,259227952,10793 +2980,population-threshold-for-urban-area,map,,1621e3ff38c4b897786759e4c1f9f37f,population-threshold-for-urban-area_v6_850x600.svg,1,18,226442416,3033 +2981,countries-with-minimum-urban-threshold,StackedDiscreteBar,,a8317161dbdfeb5bdeb0d9e8a34516f7,countries-with-minimum-urban-threshold_v6_850x600.svg,2,12,99103304,642 +2984,urban-land-area,map,,c489c95d0545fd3b48a34645e3b1cb0f,urban-land-area_v10_850x600.svg,4,13,143691720,22876 +2985,urban-vs-rural-majority,map,,9657805cd0f57d5c9fbdf55376d383fd,urban-vs-rural-majority_v16_850x600.svg,220,310,393421864,2202463 +2986,urban-and-rural-population-stacked,StackedArea,,2a17fa9424ad4a0348b10f2bc9004e6f,urban-and-rural-population-stacked_v10_850x600.svg,335,352,307749360,1760522 +2987,urban-and-rural-population-2050,StackedArea,,92bc4c49bf9a3581666267ac3357bc71,urban-and-rural-population-2050_v9_850x600.svg,441,453,326711216,2227337 +2988,urban-population-share-2050,map,,14a6c4c102d0b7810aa5697a9081fb96,urban-population-share-2050_v8_850x600.svg,69,206,133722096,1112702 +2989,land-area-km,map,,14b5dd2fca38765e5bb6fd9bb9d80f9f,land-area-km_v13_850x600.svg,20,37,238592464,387737 +2992,access-to-electricity-urban-vs-rural,ScatterPlot,,46e967d9d219e6e75403960415e7be7c,access-to-electricity-urban-vs-rural_v19_850x600.svg,560,818,270905072,2236762 +2994,population-density,map,,03b967f33bffbacc275afd14a075be74,population-density_v49_850x600.svg,158,426,293795016,2549301 +2997,urban-share-european-commission,LineChart,,da51930dc78529dffc6b4fb5a9549117,urban-share-european-commission_v8_850x600.svg,8,18,170043216,98137 +2998,time-spent-on-activities-in-an-average-day,StackedBar,,51bf5fa8fd51330307557752295d2e3a,time-spent-on-activities-in-an-average-day_v3_850x600.svg,2,11,164810264,1245 +3001,population-density-by-city,DiscreteBar,,9d6cc5c9698ea2c06083eac5ca5f8454,population-density-by-city_v4_850x600.svg,3,9,171812416,3167 +3002,city-populations-to-2035,LineChart,,7a8dfced54df6702c57f6cac346aeb0c,city-populations-to-2035_v16_850x600.svg,3,13,168626088,18927 +3003,capital-city-population,map,,464ca2caf72c60ed785f18f6bc18a0cf,capital-city-population_v6_850x600.svg,4,11,184896664,7219 +3004,percentage-of-americans-living-alone-by-age,LineChart,,f077fef21d2ffb19b22a630807313e5c,percentage-of-americans-living-alone-by-age_v9_850x600.svg,1,7,171222528,1824 +3005,percentage-of-females-living-alone-in-the-united-states-by-age,LineChart,,a1dbbf71e6087970080e961c781edc2f,percentage-of-females-living-alone-in-the-united-states-by-age_v4_850x600.svg,1,12,124018208,1827 +3006,percentage-of-males-living-alone-in-the-united-states-by-age,LineChart,,6ff63e00ce42a48b095cc3b464b81ef1,percentage-of-males-living-alone-in-the-united-states-by-age_v5_850x600.svg,1,9,180604728,1825 +3008,time-spent-on-activities-in-an-average-day-males,StackedBar,,9547cbb7294770a57b352cc2c169742c,time-spent-on-activities-in-an-average-day-males_v2_850x600.svg,2,10,133689816,1205 +3009,time-spent-on-activities-in-an-average-day-females,StackedBar,,73cb8a5ed9dc16e1fb5f444713ad3ca9,time-spent-on-activities-in-an-average-day-females_v2_850x600.svg,2,9,173123608,1284 +3010,extreme-poverty-region-2030,StackedArea,,e754d31569f0d8fad14ccaba917ad551,extreme-poverty-region-2030_v8_850x600.svg,14,23,124992448,101509 +3011,extreme-poverty-country-2030,map,,8c3e161ad82449ab20810bffd7237dbb,extreme-poverty-country-2030_v11_850x600.svg,5,16,180155320,101509 +3015,mention-of-the-word-capitalism-in-new-york-times-articles,LineChart,,b5f2d62c67b82b8831edef99c6fe002e,mention-of-the-word-capitalism-in-new-york-times-articles_v19_850x600.svg,1,8,135873680,5507 +3016,the-two-germanies-planning-and-capitalism,LineChart,,5bc7b0ea48743bdd77873dc3a814ad70,the-two-germanies-planning-and-capitalism_v33_850x600.svg,2,15,171813296,8067 +3027,the-productivity-of-labour-in-producing-light-lumen-hours-per-hour-of-labour-1800-to-the-present,LineChart,,4a22702d83d7d8bedddf2da16a2a98c8,the-productivity-of-labour-in-producing-light-lumen-hours-per-hour-of-labour-1800-to-the-present_v10_850x600.svg,0,7,127847064,351 +3030,gdp-per-capita-world-bank-constant-usd,map,,5facafd3b1e4e6ca16dc5715ca5a4e2f,gdp-per-capita-world-bank-constant-usd_v30_850x600.svg,20,52,135264424,364610 +3032,share-undernourished-vs-gdp-pc,ScatterPlot,,4fdee2f7c838ed850f5d6fa618d15e37,share-undernourished-vs-gdp-pc_v26_850x600.svg,51,96,184915944,354932 +3033,value-of-agricultural-production,map,,18ae99f290ea48e6109e8a367736c331,value-of-agricultural-production_v10_850x600.svg,8,23,402558592,187471 +3034,wages-relative-to-the-price-of-energy,DiscreteBar,,edfcb3e74c6ba18c6da79df4b3555424,wages-relative-to-the-price-of-energy_v17_850x600.svg,2,13,304770840,240 +3035,wages-relative-to-the-cost-of-capital,LineChart,,2619fccbd40cc64c43cbe24bb678adcf,wages-relative-to-the-cost-of-capital_v14_850x600.svg,3,19,309552304,16744 +3036,prison-population-rate,map,,c4e461abd7afa5d76f7bc3175dce358a,prison-population-rate_v6_850x600.svg,2,15,398360312,6111 +3037,the-malthusian-trap,ScatterPlot,,8128401d1b83f80b875a737556a0f08c,the-malthusian-trap_v24_850x600.svg,2,15,147434440,2607 +3038,escaping-the-malthusian-trap,ScatterPlot,,bd1ba03cb288b4cc82aae7a0dd1fe4d1,escaping-the-malthusian-trap_v15_850x600.svg,3,23,311950696,4567 +3042,annual-hours-of-free-time-per-worker-and-income,ScatterPlot,,60d6c839eeeeff03460916d4000e828e,annual-hours-of-free-time-per-worker-and-income_v21_850x600.svg,6,20,395219048,11763 +3043,estimated-lifetime-hours-of-work-and-leisure,StackedArea,,276068e906e362811f5438f9a8bb72f6,estimated-lifetime-hours-of-work-and-leisure_v8_850x600.svg,3,9,138127552,448 +3044,homicide-rate-ihme-vs-unodc,ScatterPlot,,160b23505d5d22522642776bafcb546c,homicide-rate-ihme-vs-unodc_v45_850x600.svg,55,91,203052608,469673 +3045,extreme-poverty-2030-scenario-bar,LineChart,,2dc98180d400920c9f236ad5bce94f39,extreme-poverty-2030-scenario-bar_v3_850x600.svg,37,43,323819176,507547 +3046,additional-extreme-poverty-climate-challenges,map,,60c9309d952805fc0cfd4fc35d7939ed,additional-extreme-poverty-climate-challenges_v3_850x600.svg,5,18,147871392,92159 +3047,extreme-poverty-polarization,map,,a2c91961ff2496986fbfda82b19b3d7d,extreme-poverty-polarization_v4_850x600.svg,6,19,403029416,91982 +3048,extreme-poverty-fragile-states,StackedArea,,a87e079ae556ec6a9cbb0d8f045b55e4,extreme-poverty-fragile-states_v4_850x600.svg,12,22,314876256,101509 +3049,projected-share-extreme-poverty,map,,7ccfe466211e54e63590c0c9e42bf26c,projected-share-extreme-poverty_v3_850x600.svg,10,28,405765680,90471 +3050,hurricane-landfalls-us,LineChart,,b0645c053d0e15bfb02a24a590e7ef45,hurricane-landfalls-us_v8_850x600.svg,8,36,328779920,21785 +3051,frequency-north-atlantic-hurricanes,LineChart,,85a90da72b56945abe33e1943249b8d6,frequency-north-atlantic-hurricanes_v11_850x600.svg,3,28,149509032,19508 +3052,ace-north-atlantic-hurricanes,StackedBar,,c3af3edaa286bb448b6b1cd6d3896d30,ace-north-atlantic-hurricanes_v7_850x600.svg,4,20,318490360,5100 +3054,drought-severity-index-us,LineChart,,067825afad940e23d9f24bda366b091c,drought-severity-index-us_v9_850x600.svg,3,18,549347016,8385 +3055,extreme-one-day-precipitation-usa,LineChart,,b2ad83dc58505eb59367c1f8a5fc404a,extreme-one-day-precipitation-usa_v6_850x600.svg,3,13,314723248,7067 +3056,unusually-high-precipitation-usa,LineChart,,5c79ce0d06267d695376b5979378b46f,unusually-high-precipitation-usa_v5_850x600.svg,2,11,148454288,8069 +3057,global-precipitation-anomaly,LineChart,,6aa2660eb033bd4eface33e975fcded3,global-precipitation-anomaly_v6_850x600.svg,1,9,338428224,4263 +3058,precipitation-anomaly,LineChart,,b853aab4e61b4606025e507c31077854,precipitation-anomaly_v5_850x600.svg,2,10,201749928,3479 +3059,heat-wave-index-usa,LineChart,,8d070b6088d18adac6d3f82d7b7a8692,heat-wave-index-usa_v7_850x600.svg,2,9,323390480,3733 +3060,high-summer-temp-usa,LineChart,,15012d117b06164dc21ddf5856aca6be,high-summer-temp-usa_v10_850x600.svg,2,13,396885600,7069 +3061,low-winter-temps-usa,LineChart,,24345bbd6a2d4a5d987c0e42b778b435,low-winter-temps-usa_v9_850x600.svg,3,11,548571680,6958 +3062,significant-volcanic-eruptions,map,,e2b08dd0e1e788c3b69f850c1406ae4d,significant-volcanic-eruptions_v8_850x600.svg,8,17,291507416,59164 +3063,acres-burned-usa,StackedBar,,82b955979f59eaa672ced2a30d4066dc,acres-burned-usa_v5_850x600.svg,2,16,314783720,1238 +3065,wildfire-numbers-usa,StackedBar,,46d8213a14327112fae37558172b5d35,wildfire-numbers-usa_v5_850x600.svg,1,6,209741656,1159 +3067,acres-burned-per-wildfire-usa,StackedBar,,5095e26a8cefee72478275aead3473b3,acres-burned-per-wildfire-usa_v4_850x600.svg,3,10,334507992,1055 +3068,worldwide-public-goods-experiments-contributions-over-10-periods,LineChart,,3909b579b719cb117cef1ec36c64b9a5,worldwide-public-goods-experiments-contributions-over-10-periods_v11_850x600.svg,3,13,150607160,4419 +3069,worldwide-public-goods-experiments-with-opportunities-for-peer-punishment,LineChart,,ab866557cf9d46f529fc52682fe6ad44,worldwide-public-goods-experiments-with-opportunities-for-peer-punishment_v8_850x600.svg,3,15,395540952,5489 +3070,income-inequality-in-market-and-disposable-income-across-the-world,map,,383dde6c9ca288e9f87fcabe95b95fe4,income-inequality-in-market-and-disposable-income-across-the-world_v18_850x600.svg,8,16,552394088,12374 +3071,firm-size-in-the-us-number-of-employees,LineChart,,29e4ac23d5b7342b55483984c4e61557,firm-size-in-the-us-number-of-employees_v14_850x600.svg,2,12,209466136,13613 +3073,estimated-lifetime-hours-of-work-and-leisure-alt,DiscreteBar,,c5ae5a16c8cc76f1a0f70ef5b7df49b8,estimated-lifetime-hours-of-work-and-leisure-alt_v10_850x600.svg,2,7,331487832,763 +3074,significant-earthquakes,map,,47bd02dee6f415661cfe8fe8c7fe8c9d,significant-earthquakes_v7_850x600.svg,12,27,330340344,248054 +3075,earthquake-deaths,StackedBar,,4ba624f926d7a5ae475a49dcb70103ff,earthquake-deaths_v10_850x600.svg,15,75,157168656,120911 +3076,share-of-employees-whose-wages-are-covered-by-collective-bargaining-agreements,DiscreteBar,,7d776265bfd972c20ee991be41e3c8a2,share-of-employees-whose-wages-are-covered-by-collective-bargaining-agreements_v21_850x600.svg,2,9,404499648,961 +3077,deaths-from-volcanic-eruptions,StackedBar,,9722f26878b9cf96548ffb4a2b7395e1,deaths-from-volcanic-eruptions_v6_850x600.svg,5,48,342751720,34184 +3078,collective-wage-bargaining-coverage-and-unemployment-across-the-oecd,ScatterPlot,,e688c057e51ad84fa34651a63c7abb44,collective-wage-bargaining-coverage-and-unemployment-across-the-oecd_v13_850x600.svg,13,22,203398040,11525 +3093,changes-in-unemployment-and-wellbeing-during-the-financial-crisis-evidence-from-the-us-states,ScatterPlot,,cd9386d64f17097acd8ceaf52d3ba4f4,changes-in-unemployment-and-wellbeing-during-the-financial-crisis-evidence-from-the-us-states_v18_850x600.svg,5,25,283353400,12909 +3094,the-role-of-agriculture-in-the-fluctuations-of-the-aggregate-economy-in-britain,LineChart,,86d1a6b2cd9cf59d7a45cab371f72c74,the-role-of-agriculture-in-the-fluctuations-of-the-aggregate-economy-in-britain_v10_850x600.svg,5,14,404767272,20969 +3103,inflation-and-presidential-election-victory-in-the-us,ScatterPlot,,ffce303d402e3a472c3690fbd95d091b,inflation-and-presidential-election-victory-in-the-us_v31_850x600.svg,3,15,565871048,1932 +3110,the-percentage-of-neonates-protected-at-birth-against-neonatal-tetanus,LineChart,,442651d49ba0f5b0fefbdb14984ddefb,the-percentage-of-neonates-protected-at-birth-against-neonatal-tetanus_v13_850x600.svg,7,17,324498440,103213 +3111,the-number-of-new-tetanus-infections-by-world-region,StackedArea,,746b48e2478bd6db21e213c5960fdad8,the-number-of-new-tetanus-infections-by-world-region_v30_850x600.svg,36,50,208433240,247936 +3113,tetanus-cases-vs-tetanus-vaccination-coverage,ScatterPlot,,cb1c9bc10979e3c32d234b84f09eb7d9,tetanus-cases-vs-tetanus-vaccination-coverage_v24_850x600.svg,65,113,298220856,472695 +3115,inflation-and-central-bank-independence-oecd-countries,ScatterPlot,,5c81d3ebb522b68fa8e459faacdffe13,inflation-and-central-bank-independence-oecd-countries_v18_850x600.svg,4,12,401971760,1034 +3116,cpa-recieved-oecd,map,,e1397f04e3f9f384d0b913e0ac34b5e4,cpa-recieved-oecd_v4_850x600.svg,4,16,378107072,100914 +3117,food-aid-received,map,,80a3054a230040e80dda7d42570d1603,food-aid-received_v3_850x600.svg,3,9,343436800,45007 +3119,share-population-female,map,,0e1f74896a25f8ab98b7cf3ca5cacace,share-population-female_v14_850x600.svg,18,46,571118944,484551 +3121,undernourished-people-oecd,StackedArea,,5a10ff27e9615b1d7dd8b0dd21979e90,undernourished-people-oecd_v7_850x600.svg,12,17,403017576,55681 +3122,year-of-the-last-reported-rinderpest-case,map,,ed9ce15f50730f6d03ba41b6355f80a2,year-of-the-last-reported-rinderpest-case_v6_850x600.svg,3,16,323650872,5159 +3128,womens-life-expectancy-at-birth,map,,5dfd2e5d08c274996ea12bd6635593ad,womens-life-expectancy-at-birth_v30_850x600.svg,36,58,171005512,572793 +3132,human-capital-index-vs-gdp,ScatterPlot,,7604180868502b527ec69b6df7d275e8,human-capital-index-vs-gdp_v16_850x600.svg,483,803,519231312,2092281 +3133,hci-males-vs-females,ScatterPlot,,03fbdaa39a3da1f9e5d85ecb9b75e719,hci-males-vs-females_v7_850x600.svg,567,882,206626032,1888478 +3134,exports-of-goods-and-services-constant-2010-us,map,,c480f675601e3dabb2f37c8c6b0fa43a,exports-of-goods-and-services-constant-2010-us_v16_850x600.svg,11,39,360092776,258995 +3135,imports-of-goods-and-services-constant-2010-us,LineChart,,4bd806db91e4ffad7c2a5cd361fef28a,imports-of-goods-and-services-constant-2010-us_v13_850x600.svg,10,24,215902816,259697 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+3145,aid-received-fragility,StackedArea,,8061cc8d893e289ed55f833b01af6d6f,aid-received-fragility_v7_850x600.svg,11,19,160892272,105157 +3146,top-underaided-countries,map,,03b70347c907df851a1cdff826d70995,top-underaided-countries_v10_850x600.svg,5,16,311757920,2469 +3147,years-as-underaided,map,,e54072817a3ad1c77755f87684035924,years-as-underaided_v7_850x600.svg,2,29,362147104,341 +3149,gini-index-around-2015-1990-2015-countries-vs-gini-index-around-1990-1990-2015-countries,ScatterPlot,,8bf66c31be074f8180b418962a3a51f9,gini-index-around-2015-1990-2015-countries-vs-gini-index-around-1990-1990-2015-countries_v28_850x600.svg,500,758,260883480,1853907 +3150,gini-index-around-2015-vs-gini-index-around-2000,ScatterPlot,,431fd27ee1411765ab8c12af9e276535,gini-index-around-2015-vs-gini-index-around-2000_v22_850x600.svg,449,725,401042864,1855047 +3153,under-5-population,LineChart,,83219bed76372e981ab7b280a60d01b2,under-5-population_v8_850x600.svg,182,191,359777496,1187039 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+3252,global-and-between-country-income-inequality,LineChart,,73d7296a1f12788ee52bcc00311450e1,global-and-between-country-income-inequality_v10_850x600.svg,3,12,529102776,2508 +3253,categorical-inequality-average-years-of-schooling-girls-relative-to-boys,LineChart,,bdfb2056f8ec74c16efe6e3489150058,categorical-inequality-average-years-of-schooling-girls-relative-to-boys_v10_850x600.svg,1,10,346243392,1899 +3254,intergenerational-and-cross-sectional-inequality,ScatterPlot,,5a79301cff994076842595916f0b03e7,intergenerational-and-cross-sectional-inequality_v22_850x600.svg,1,8,539958464,787 +3255,beliefs-about-what-it-takes-to-gete-ahead-in-life,DiscreteBar,,cff507fd538b55fe107e36eae8615675,beliefs-about-what-it-takes-to-gete-ahead-in-life_v13_850x600.svg,1,7,355269320,406 +3256,fertility-vs-unmet-contraception,ScatterPlot,,70ae392310d40079298b9660a9ef63ae,fertility-vs-unmet-contraception_v15_850x600.svg,180,314,378435296,437771 +3257,fertility-vs-contraception,ScatterPlot,,db30dac1e8226655307fa928da407bcc,fertility-vs-contraception_v19_850x600.svg,159,280,560763920,453852 +3259,oecd-female-labour-force-participation-rate-15-64,LineChart,,0f7822f63003e22a2a5ae3e68e91a94d,oecd-female-labour-force-participation-rate-15-64_v6_850x600.svg,1,9,344891232,29187 +3260,aviation-accidents-by-flight-phase,StackedArea,,ac14f0c2abe720148d9cb693acfcb4a3,aviation-accidents-by-flight-phase_v2_850x600.svg,3,9,341642512,10438 +3261,aviation-fatalities-by-flight-phase,StackedArea,,236995220f5778f574c37508b9bc46d8,aviation-fatalities-by-flight-phase_v2_850x600.svg,7,20,341845448,10817 +3263,number-without-electricity-by-region,StackedArea,,7fc37dd214f3a1874ffb0d2f5bf6efab,number-without-electricity-by-region_v14_850x600.svg,35,44,251735592,208551 +3264,people-without-electricity-country,map,,4ee74bcc66f1e8d821f74839497f504a,people-without-electricity-country_v16_850x600.svg,12,29,349325608,208551 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+3275,depressive-disorders-prevalence-vs-gdp-per-capita,ScatterPlot,,591dd6f27b6b377f4966c70be3cc9840,depressive-disorders-prevalence-vs-gdp-per-capita_v35_850x600.svg,75,122,370819408,460260 +3276,the-role-of-agriculture-in-the-fluctuations-of-the-aggregate-economy-in-india-19612017,LineChart,,425fccfeee9fffedfe24674d89b6572c,the-role-of-agriculture-in-the-fluctuations-of-the-aggregate-economy-in-india-19612017_v26_850x600.svg,1,11,265235216,4442 +3278,growth-rates-of-consumption-investment-and-gdp-in-the-uk-per-cent-per-annum-19602016,LineChart,,2d45625323816e1a9bd4b3f551f6220d,growth-rates-of-consumption-investment-and-gdp-in-the-uk-per-cent-per-annum-19602016_v14_850x600.svg,2,9,265607552,6383 +3279,growth-rates-of-consumption-investment-and-gdp-in-the-us-per-cent-per-annum-19602016,LineChart,,251054c74026c92edc958bf4ad307516,growth-rates-of-consumption-investment-and-gdp-in-the-us-per-cent-per-annum-19602016_v11_850x600.svg,2,14,265651144,6700 +3280,growth-rates-of-consumption-investment-and-gdp-in-mexico-19812016,LineChart,,5cc0dd36d49b6a697954be4e61cbde4d,growth-rates-of-consumption-investment-and-gdp-in-mexico-19812016_v12_850x600.svg,1,16,203883280,4479 +3281,growth-rates-of-consumption-investment-and-gdp-in-south-africa-19612016,LineChart,,14e40487031987615882ed0de0bb11ac,growth-rates-of-consumption-investment-and-gdp-in-south-africa-19612016_v11_850x600.svg,1,13,265813248,6467 +3282,inflation-levels-and-volatility-in-high--and-low-income-economies-1960-2017,LineChart,,16a2232c8fd4baa1e9e3d3b0a7c2f8e3,inflation-levels-and-volatility-in-high--and-low-income-economies-1960-2017_v10_850x600.svg,1,12,217473576,10891 +3283,per-capita-meat-usa,StackedArea,,fa17f022510d28aa8c47f6e4035c01d3,per-capita-meat-usa_v4_850x600.svg,149,157,303700040,1236136 +3284,per-capita-meat-eu28,StackedArea,,974b0800989a0f3cba15df70e02bdfba,per-capita-meat-eu28_v6_850x600.svg,3,9,213366768,4492 +3285,uk-government-debt-as-a-percentage-of-gdp-17272016,LineChart,,5bc0be74e2d1a86aecb729e6b258e96d,uk-government-debt-as-a-percentage-of-gdp-17272016_v12_850x600.svg,4,13,561233792,8079 +3286,uk-inflation-and-unemployment-rate-19892017,ScatterPlot,,9a80bfc3ee22ed2a003fbf60c244e121,uk-inflation-and-unemployment-rate-19892017_v14_850x600.svg,4,16,215081336,11450 +3287,long-run-unemployment-and-real-wage-growth-across-the-oecd-19702017,ScatterPlot,,aaccc8c48ee85a4f7cf20e4f4b908201,long-run-unemployment-and-real-wage-growth-across-the-oecd-19702017_v15_850x600.svg,2,17,559030296,1078 +3288,union-wage-bargaining-coverage-and-unemployment-across-the-oecd-20002017,ScatterPlot,,347c2ab751f1d43c54a500781b7e1aaf,union-wage-bargaining-coverage-and-unemployment-across-the-oecd-20002017_v18_850x600.svg,3,20,370046904,1934 +3289,unemployment-benefit-generosity-and-unemployment-rates-across-the-oecd20002017,ScatterPlot,,57f5ebaf4d5b8c5ef22e589cb4eacbec,unemployment-benefit-generosity-and-unemployment-rates-across-the-oecd20002017_v15_850x600.svg,2,20,216176616,2149 +3290,the-rise-and-fall-of-the-share-of-employment-in-industry-18702018,LineChart,,be16c5aa5cab8279a538f8247c9ef86c,the-rise-and-fall-of-the-share-of-employment-in-industry-18702018_v12_850x600.svg,1,10,379255760,22648 +3291,catching-up-to-the-us-during-the-golden-age-and-beyond-19502018,LineChart,,9c59d00c02e4e3ca1c9aa614059b032d,catching-up-to-the-us-during-the-golden-age-and-beyond-19502018_v9_850x600.svg,2,13,558771384,16699 +3293,cancer-incidence,map,,50d7cb4a3109180c9d164ed7cf01d749,cancer-incidence_v7_850x600.svg,12,34,222212728,237054 +3296,average-tariff-rates-per-cent-19882016,LineChart,,667406bbb21c712c36a2211e964a74cd,average-tariff-rates-per-cent-19882016_v10_850x600.svg,1,7,377774872,697 +3297,catching-up-and-stagnating-manufacturing-wages-relative-to-the-us-19502016,LineChart,,25166b4109eae1c6c80af5b1992df29b,catching-up-and-stagnating-manufacturing-wages-relative-to-the-us-19502016_v13_850x600.svg,2,13,380938680,10733 +3298,the-amount-of-cod-caught-in-the-grand-banks-north-atlantic-fisheries-18512018,LineChart,,840e4220dfca4c036faa852b92e765ad,the-amount-of-cod-caught-in-the-grand-banks-north-atlantic-fisheries-18512018_v9_850x600.svg,2,11,377014032,6256 +3299,cost-of-generating-electricity-new-capacity-using-photovoltaic-cells-in-the-us-19762009,LineChart,,330d5798a4e57c36aadee4b11ad5ae3a,cost-of-generating-electricity-new-capacity-using-photovoltaic-cells-in-the-us-19762009_v9_850x600.svg,2,8,567501728,1563 +3300,cost-of-generating-electricity-new-capacity-from-different-sources-in-the-us-20082018,LineChart,,9a168b12517d92525399da873148aef9,cost-of-generating-electricity-new-capacity-from-different-sources-in-the-us-20082018_v7_850x600.svg,1,13,373123496,2033 +3301,arctic-sea-ice-coverage-19352014,LineChart,,dd3f49e3635743bcd436539bf7481d57,arctic-sea-ice-coverage-19352014_v7_850x600.svg,2,7,384965976,2297 +3302,carbon-dioxide-emissions-are-higher-in-richer-countries,ScatterPlot,,715ec2f9463da4ef36e1c2e41083a069,carbon-dioxide-emissions-are-higher-in-richer-countries_v13_850x600.svg,6,25,564321512,21359 +3303,but-so-is-the-quality-of-their-local-environment,ScatterPlot,,8beabda4dd8f64618e949323e83845d3,but-so-is-the-quality-of-their-local-environment_v16_850x600.svg,6,28,383297400,20444 +3304,innovation-in-computing-power-index-of-computing-speed,ScatterPlot,,51c8c2de8a63364d4336d7f55d65e7bc,innovation-in-computing-power-index-of-computing-speed_v10_850x600.svg,3,6,381676744,8588 +3306,the-duration-of-democracy-and-working-hours-2017,ScatterPlot,,7958e247e7ed6752ae4b955caa356c91,the-duration-of-democracy-and-working-hours-2017_v14_850x600.svg,2,9,232567232,1151 +3307,the-duration-of-democracy-and-inequality-in-disposable-income-2015,ScatterPlot,,de08e4b76d5ebc978664367f7fd34122,the-duration-of-democracy-and-inequality-in-disposable-income-2015_v11_850x600.svg,2,13,382328096,1408 +3308,tetanus-death-rate,map,,06de1816ce9db4c3e3ae516cf3ed9241,tetanus-death-rate_v18_850x600.svg,18,42,173845336,326719 +3309,number-of-deaths-from-tetanus,map,,45cb55b6732ad776109bcd1779663d4f,number-of-deaths-from-tetanus_v17_850x600.svg,25,39,575106520,327111 +3314,inequality-in-life-expectancy,map,,3bc5565a0e2be6ee892288bc93478c68,inequality-in-life-expectancy_v25_850x600.svg,7,16,236195176,93316 +3316,learning-adjusted-years-of-school-lays,map,,a7e2370f1177b2db67697c2468036477,learning-adjusted-years-of-school-lays_v12_850x600.svg,2,17,388403176,19179 +3317,per-capita-alcohol-1890,LineChart,,25c39c8312882d81796046953ce77de0,per-capita-alcohol-1890_v10_850x600.svg,2,8,380934328,3301 +3318,alcohol-by-type-1890,StackedArea,,1ed3379d4095ba0d6ecf26ebeb04aed3,alcohol-by-type-1890_v5_850x600.svg,2,10,305105384,5239 +3322,inequality-in-life-expectancy-vs-health-expenditure-per-capita,ScatterPlot,,531cb10639ee0d1c83963b732f1395fd,inequality-in-life-expectancy-vs-health-expenditure-per-capita_v21_850x600.svg,608,985,502619832,2088145 +3324,national-average-learning-outcomes-vs-government-expenditure-per-primary-student,ScatterPlot,,c608d4c386da7c3ab675c1949a49f401,national-average-learning-outcomes-vs-government-expenditure-per-primary-student_v23_850x600.svg,528,928,418322576,1934394 +3325,average-learning-outcomes-by-total-education-expenditure-per-capita,ScatterPlot,,c0be32dee56ecba31ebcdabe17a17767,average-learning-outcomes-by-total-education-expenditure-per-capita_v19_850x600.svg,42,88,247174832,129200 +3327,population-growth-rate-vs-median-age,ScatterPlot,,9e0d17e09280b892db74175bf842cfaf,population-growth-rate-vs-median-age_v23_850x600.svg,791,1287,535005392,3016835 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+3339,population-by-age-group,StackedArea,,5916fb49edb3aac6295949a9a211753f,population-by-age-group_v28_850x600.svg,614,632,242116496,2920771 +3340,trachoma-prevalence-age-standardized-ihme,map,,8da37864bbb3fd90c1998f7226ab52e7,trachoma-prevalence-age-standardized-ihme_v47_850x600.svg,10,26,361745832,201513 +3341,population-growth-rate-with-and-without-migration,LineChart,,de09a189fbc33536ea65995fea65425b,population-growth-rate-with-and-without-migration_v20_850x600.svg,165,183,182923712,1146108 +3342,median-age-vs-births-per-woman,ScatterPlot,,c1ce42ba0177d887f2518a251cc2ec04,median-age-vs-births-per-woman_v31_850x600.svg,488,720,135364800,1735179 +3343,population-young-working-elderly-with-projections,LineChart,,3471ce9b7d02f405bec5d3d5486eaa10,population-young-working-elderly-with-projections_v33_850x600.svg,496,507,325193712,3616040 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+3378,endemic-mammal-species-by-country,map,,3cfd39d1f6318753e4e9e15d947787a2,endemic-mammal-species-by-country_v12_850x600.svg,2,13,423641272,6479 +3379,endemic-bird-species-by-country,map,,a9d7357c6608d525101ba126a585dfcf,endemic-bird-species-by-country_v12_850x600.svg,5,14,439279496,6492 +3380,endemic-amphibian-species-by-country,map,,10cd7ebb6080998c356dd459c6ffc65f,endemic-amphibian-species-by-country_v10_850x600.svg,3,13,265014024,6495 +3381,statutory-corporate-income-tax-rate,LineChart,,7bda5a53dada3398ff6f24f4f0b3f96e,statutory-corporate-income-tax-rate_v6_850x600.svg,3,16,133184352,48734 +3382,the-household-debt-to-income-ratio-and-house-prices-in-the-us-19502017,LineChart,,622ec1406d452592d8a5346fd70df5ad,the-household-debt-to-income-ratio-and-house-prices-in-the-us-19502017_v9_850x600.svg,2,10,502632328,4076 +3383,leverage-ratio-of-banks-in-the-uk-and-us-19602018,LineChart,,fac2a03f8a0f0ef51a2b2d86433e5df7,leverage-ratio-of-banks-in-the-uk-and-us-19602018_v11_850x600.svg,1,8,303503536,2818 +3384,inequality-in-wealth-earnings-and-disposable-income-us-sweden-and-japan-2000s,DiscreteBar,,b05409a26df42d2d5cf4c2c4d8bedbac,inequality-in-wealth-earnings-and-disposable-income-us-sweden-and-japan-2000s_v6_850x600.svg,1,9,141162656,342 +3385,the-growth-rate-of-productivity-over-the-long-run-14002009,LineChart,,6734683c99ea21731577155da13c15d5,the-growth-rate-of-productivity-over-the-long-run-14002009_v10_850x600.svg,7,23,269008960,38045 +3387,world-population-over-the-last-12000-years-and-un-projection-until-2100,LineChart,,f98c73c03f525959fb2ec2c499027236,world-population-over-the-last-12000-years-and-un-projection-until-2100_v20_850x600.svg,439,451,487256368,2472955 +3388,hours-of-work-per-1000-lumen-hours,LineChart,,c20f5e235b0c0ef387e9afdcfa8f116e,hours-of-work-per-1000-lumen-hours_v5_850x600.svg,1,9,495195312,417 +3391,endemic-reef-forming-coral-species,map,,e9dcc7baefd53eb34505b1ff1a1207e9,endemic-reef-forming-coral-species_v11_850x600.svg,4,14,141410568,6439 +3392,threatened-endemic-coral,map,,c1b30dc57d5534c495b32fd8a89f679a,threatened-endemic-coral_v13_850x600.svg,3,10,309088352,6439 +3393,threatened-endemic-mammal-species,map,,3b4ec3f52fae4fa902149b77f61dc6e0,threatened-endemic-mammal-species_v15_850x600.svg,2,8,511671080,6463 +3394,threatened-endemic-bird-species,map,,bde889ff4aa2c0f718503a9314a9e961,threatened-endemic-bird-species_v14_850x600.svg,4,17,272921984,6460 +3397,perception-of-corruption-by-institution,DiscreteBar,,d58c881ea943b70befcf886b7e14eb5c,perception-of-corruption-by-institution_v10_850x600.svg,12,19,302942832,22400 +3398,child-deaths-life-stage,StackedArea,,16dd3558934b8e4fd84a24c7b766a971,child-deaths-life-stage_v28_850x600.svg,244,251,168127528,968126 +3399,child-mortality-by-source,LineChart,,35f8df7f1564c5992b9c13f9486fcc7a,child-mortality-by-source_v31_850x600.svg,154,164,157112888,1269064 +3400,child-deaths-by-source,LineChart,,2ec284fe7afbc384c8ac36fdeba08887,child-deaths-by-source_v26_850x600.svg,201,212,534237616,1240143 +3401,number-of-infant-deaths,map,,e323b5c4840d8dff1a10ab99cf949572,number-of-infant-deaths_v21_850x600.svg,25,42,313850752,380389 +3403,press-freedom-index-rsf,map,,1f2dd479658f646ef2e8151b93bf281f,press-freedom-index-rsf_v29_850x600.svg,4,15,276700912,47622 +3405,neonatal-mortality-vs-births-attended-by-staff,ScatterPlot,,9fa5ec4965175d2466841254e272ee65,neonatal-mortality-vs-births-attended-by-staff_v10_850x600.svg,196,329,304909552,464255 +3408,hurricane-track-error,LineChart,,d734945e4261000f7499780b9c826c80,hurricane-track-error_v9_850x600.svg,3,18,275418400,18398 +3409,average-height-by-year-of-birth,LineChart,,1b0578817d21e73f6bd036e9db36ee54,average-height-by-year-of-birth_v13_850x600.svg,208,224,327746856,1485251 +3410,change-in-male-height,map,,b8197506a076ba2dd4bedc4b0af4668e,change-in-male-height_v6_850x600.svg,3,9,275317648,7096 +3411,absolute-gains-in-mean-female-height,map,,253f7da499daed019ce74fc1a4d2e136,absolute-gains-in-mean-female-height_v12_850x600.svg,3,8,291255968,7064 +3412,male-to-female-height-ratio,map,,47b00d1677a6dc259531929351434270,male-to-female-height-ratio_v7_850x600.svg,62,131,286700680,744770 +3413,average-height-of-men,map,,c6257371dcb652fded5af9f670814967,average-height-of-men_v7_850x600.svg,57,125,318296816,742608 +3414,average-height-of-women,map,,614bd6e7b20f650ae6f7ce1f06f8912e,average-height-of-women_v6_850x600.svg,56,122,530865248,742643 +3415,relative-change-in-female-height,map,,7cf3f831558c1c25e03a885f0d877eda,relative-change-in-female-height_v9_850x600.svg,3,14,176873848,7426 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+3426,child-mortality-respiratory-infections-vs-clean-fuels,ScatterPlot,,61aa9272f6969578a415068d07e8cb94,child-mortality-respiratory-infections-vs-clean-fuels_v21_850x600.svg,62,102,322550832,507547 +3427,child-mortality-vs-teenage-pregnancy,ScatterPlot,,1b517b5efe6d59d757bf18db5025bc15,child-mortality-vs-teenage-pregnancy_v14_850x600.svg,181,337,338659904,478592 +3428,child-mortality-vs-prevalence-of-stunting,ScatterPlot,,5b6c050617615699e9295c4e5dc8b0cf,child-mortality-vs-prevalence-of-stunting_v19_850x600.svg,737,1158,677229392,2340628 +3429,child-mortality-vs-anemia-pregnant-women,ScatterPlot,,fd6f41698405658b6b38698c60a6368c,child-mortality-vs-anemia-pregnant-women_v13_850x600.svg,224,344,111959320,585249 +3430,child-mortality-vs-share-who-are-anemic,ScatterPlot,,9d6dc7e1fe8a4afee0aec39c4c869c0c,child-mortality-vs-share-who-are-anemic_v15_850x600.svg,189,343,195967768,585209 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+3437,increase-male-vs-female-height,ScatterPlot,,6f12bb599f9001c79240707403c30ad6,increase-male-vs-female-height_v3_850x600.svg,6,25,368001416,24535 +3440,child-deaths-from-rotavirus,map,,8e5a53e54d8bbb9f9db0ac4f009e323f,child-deaths-from-rotavirus_v13_850x600.svg,2,13,344716056,5917 +3441,avertable-deaths-from-rotavirus-with-full-vaccine-coverage,map,,906471fe7f3ecb614a7fc293f76e3223,avertable-deaths-from-rotavirus-with-full-vaccine-coverage_v20_850x600.svg,2,8,344065384,5872 +3443,annual-change-in-average-male-height,LineChart,,1f3a0d85f24a07afb922ef7452ddd604,annual-change-in-average-male-height_v8_850x600.svg,60,72,229041952,656742 +3444,annual-change-in-average-female-height,LineChart,,214f49f208a1793bf0f720f71d9511a2,annual-change-in-average-female-height_v8_850x600.svg,58,77,347464416,657833 +3445,child-mortality-ihme-vs-un-igme,ScatterPlot,,dc3c52f1958592ceeddd89249cef9485,child-mortality-ihme-vs-un-igme_v17_850x600.svg,176,302,401700160,880478 +3446,maternal-mortality-vs-neonatal-mortality,ScatterPlot,,4815ff6d3115b00559dbbfbc81690496,maternal-mortality-vs-neonatal-mortality_v21_850x600.svg,120,209,364088016,613458 +3449,human-development-index-vs-mean-male-height,ScatterPlot,,84e069b6fc691c3c6914ecb392f070fd,human-development-index-vs-mean-male-height_v15_850x600.svg,707,1134,250410728,2779097 +3450,share-of-calories-from-animal-protein-vs-mean-male-height,ScatterPlot,,0cb2e543030869aab06c1b1dcefd64c2,share-of-calories-from-animal-protein-vs-mean-male-height_v16_850x600.svg,305,482,230604256,1170167 +3451,child-mortality-rate-vs-mean-male-height-cm,ScatterPlot,,409c35cd5669c83453c581625fa2dc82,child-mortality-rate-vs-mean-male-height-cm_v18_850x600.svg,247,355,254744768,1210382 +3456,revenue-from-corporate-income-taxes-gdp,LineChart,,78a52c045bd9d4e249e148ea3e52289f,revenue-from-corporate-income-taxes-gdp_v14_850x600.svg,4,14,348387064,131874 +3457,suffrage,map,,1820dabe5f1e7220bbe0d731c3eaaa36,suffrage_v45_850x600.svg,77,183,371897184,861005 +3461,elected-political-leaders-index,map,,6a961711839bf92dbcd06fab7f1f7a62,elected-political-leaders-index_v35_850x600.svg,91,181,392169112,820641 +3465,average-years-of-schooling-vs-corruption-perception-index,ScatterPlot,,d835f90d30a0ee1ee3095a5815955d84,average-years-of-schooling-vs-corruption-perception-index_v23_850x600.svg,854,1168,181530296,1905650 +3468,countries-democracies-nondemocracies-bmr,StackedArea,,762736522a92b3b7d2b0a0a4a879c258,countries-democracies-nondemocracies-bmr_v34_850x600.svg,8,20,357904504,78101 +3470,political-regime,map,,74f2963ed1f415bf938ae8ce76788ed0,political-regime_v36_850x600.svg,72,160,376108128,795092 +3473,terrorist-attacks-by-region,StackedArea,,d259791884671bd1b6197c3bee4246a7,terrorist-attacks-by-region_v25_850x600.svg,32,44,411953912,273881 +3475,youth-mortality-rate,map,,88257234f85d7167ceacddf3c335346a,youth-mortality-rate_v28_850x600.svg,23,41,362693240,349627 +3476,child-mortality-complete-gapminder,map,,4ce40116758a07bb811ab642cf1239c8,child-mortality-complete-gapminder_v28_850x600.svg,105,341,420062608,1414722 +3480,life-expectancy-vs-liberal-democracy-index,ScatterPlot,,061e3a8066cde9c1137c3a9996748365,life-expectancy-vs-liberal-democracy-index_v36_850x600.svg,1023,1497,293779272,3435185 +3482,maternal-mortality-ihme,map,,02d17b5e0edc25997aa252f6b5a882c2,maternal-mortality-ihme_v14_850x600.svg,18,31,377437168,217422 +3484,share-of-the-population-with-malaria,map,,a2db7032fcc104b797388709c5c65f5e,share-of-the-population-with-malaria_v19_850x600.svg,9,21,379416952,213813 +3485,neonatal-mortality-ihme,map,,13d8ea908ece31fdac9043e03f128a51,neonatal-mortality-ihme_v10_850x600.svg,19,39,393294792,408091 +3487,expected-years-of-schooling,map,,3628f9599f241d43635496a335949c68,expected-years-of-schooling_v26_850x600.svg,14,26,257720712,215264 +3488,consumption-co2-per-capita,map,,930490cb4d2e570e0bb4976c874054ba,consumption-co2-per-capita_v39_850x600.svg,11,20,382698776,146253 +3491,share-disagree-vaccines-are-safe-wellcome-trust,map,,fcf80bcc61465646f87a356814cbc7b3,share-disagree-vaccines-are-safe-wellcome-trust_v8_850x600.svg,2,7,391131104,5278 +3492,share-agree-vaccines-are-safe-wellcome,map,,243e5a4647297de98180a5e74e04ca9d,share-agree-vaccines-are-safe-wellcome_v10_850x600.svg,1,6,393152616,5236 +3493,share-agrees-vaccines-are-important-wellcome,map,,6adf95eb72da973887add1055f7f654c,share-agrees-vaccines-are-important-wellcome_v10_850x600.svg,2,8,274045392,5224 +3494,share-disagrees-vaccines-are-effective,map,,016180ebb676fe1a82cba132619912f4,share-disagrees-vaccines-are-effective_v9_850x600.svg,2,7,182607696,5287 +3495,share-disagrees-vaccines-are-important,map,,1d129056f5e98f2ef56260b99734af1a,share-disagrees-vaccines-are-important_v7_850x600.svg,2,9,379122104,5301 +3498,share-neither-agrees-nor-disagrees-vaccines-effective,map,,63be6a1d0f8933d6d0725f2d92dc5f9d,share-neither-agrees-nor-disagrees-vaccines-effective_v6_850x600.svg,3,12,392193528,5303 +3499,share-neither-agrees-disagrees-vaccines-important,map,,128269901dd40561ffbeba7c7995c67d,share-neither-agrees-disagrees-vaccines-important_v7_850x600.svg,3,9,384663936,5283 +3500,share-neither-agree-disagree-vaccines-are-safe,map,,81abb8bf20cfc623c1b96467709a446a,share-neither-agree-disagree-vaccines-are-safe_v7_850x600.svg,2,8,230132536,5293 +3503,share-of-firms-for-which-access-to-finance-is-a-major-constraint,map,,b88d8d9cd386155596b6197d39d6facd,share-of-firms-for-which-access-to-finance-is-a-major-constraint_v11_850x600.svg,1,31,267585976,1364 +3504,share-of-population-covered-by-social-protection,map,,1ceda9c67ae3a8cf83abb7dd1fa3402f,share-of-population-covered-by-social-protection_v6_850x600.svg,2,22,182169960,16966 +3506,human-capital-index-in-2018,map,,6888eb8d087260d9b64d2b72e35fc3a6,human-capital-index-in-2018_v12_850x600.svg,9,16,378803712,29426 +3508,share-who-trust-government,map,,8ee277e857ab38921351b3d70ae7ecd9,share-who-trust-government_v25_850x600.svg,2,7,387334000,3076 +3511,immunization-measles-vs-vaccine-safety,ScatterPlot,,2f5315aee15df38f4d4199e473f8c3fc,immunization-measles-vs-vaccine-safety_v16_850x600.svg,37,59,390330376,95402 +3512,trust-healthcare-vs-vaccine-safety,ScatterPlot,,5e25fe0caaf71d3251652fde2c23a3d9,trust-healthcare-vs-vaccine-safety_v12_850x600.svg,553,912,331168488,1862403 +3513,child-mortality-gdp-per-capita,ScatterPlot,,61379f323f7b7bf4f3a93b8f026fe80c,child-mortality-gdp-per-capita_v40_850x600.svg,621,934,371786312,3059526 +3515,literacy-rate-vs-gdp-per-capita,ScatterPlot,,d8cb84f3e0a4037aef411852a4356245,literacy-rate-vs-gdp-per-capita_v23_850x600.svg,639,1048,313737232,2130279 +3516,average-years-of-schooling-vs-gdp-per-capita,ScatterPlot,,d223fb7d0b8eb67034faa22f41476292,average-years-of-schooling-vs-gdp-per-capita_v19_850x600.svg,712,1342,163049368,2197560 +3517,average-schooling-vs-expected-schooling,ScatterPlot,,98afd3240cbe9322fb76f1920e8a0deb,average-schooling-vs-expected-schooling_v25_850x600.svg,604,976,499174368,2274121 +3518,medical-doctors-per-1000-people-vs-gdp-per-capita,ScatterPlot,,1dc9fb649d2f04415ff54880e9c566a9,medical-doctors-per-1000-people-vs-gdp-per-capita_v19_850x600.svg,855,1245,199711376,2216667 +3519,human-development-index-vs-gdp-per-capita,ScatterPlot,,0f1861a966be5aeb698d73f6b350775f,human-development-index-vs-gdp-per-capita_v20_850x600.svg,811,1152,191035896,2255163 +3521,international-tourist-departures-per-1000,map,,afc418923b12ba616369147dec645467,international-tourist-departures-per-1000_v33_850x600.svg,3,10,685621376,73777 +3524,the-cost-of-inequality-inequality-and-growth-in-living-standards-among-rich-countries,ScatterPlot,,06e18455f66515594a6b14bec75c3831,the-cost-of-inequality-inequality-and-growth-in-living-standards-among-rich-countries_v17_850x600.svg,3,17,678859008,1123 +3525,reactions-to-terrorism,LineChart,,2a7a52147bd3722cbe0ede63ac6df74b,reactions-to-terrorism_v5_850x600.svg,2,11,673959480,748 +3527,share-of-people-worried-about-terrorism,map,,a4f6e74a545f5126ebe2b6067b14faa5,share-of-people-worried-about-terrorism_v18_850x600.svg,1,8,688490928,3977 +3528,share-who-are-worried-about-vs-share-of-deaths-from-terrorism,ScatterPlot,,c6e1bf4b2451ad3a92224c889da62b7f,share-who-are-worried-about-vs-share-of-deaths-from-terrorism_v23_850x600.svg,93,144,704370800,554443 +3533,child-deaths-from-invasive-non-typhoidal-salmonella,map,,fc257744181917e5ae722d6f44b0ff84,child-deaths-from-invasive-non-typhoidal-salmonella_v24_850x600.svg,15,32,717259680,331513 +3534,threatened-mammal-species,map,,9bf9ce099351305ac3fd444aebaa3694,threatened-mammal-species_v21_850x600.svg,2,8,717862784,6083 +3537,personal-remittances-oda,LineChart,,7cce98f664e65f795f7b5da34b3c1b6d,personal-remittances-oda_v9_850x600.svg,47,59,257587832,584221 +3538,diarrheal-death-rates-children-vs-gdp-per-capita,ScatterPlot,,b6cd65b4961a1e9ce245cf454a96e5f3,diarrheal-death-rates-children-vs-gdp-per-capita_v50_850x600.svg,637,978,845346800,2386387 +3540,tourist-departures-per-1000-vs-gdp,ScatterPlot,,db18818aeb443b7acce29e5724e409ca,tourist-departures-per-1000-vs-gdp_v30_850x600.svg,49,78,279515272,302136 +3541,measles-prevalence-vaccine-attitudes,ScatterPlot,,fc1c93c06593f61d2bb722303cf212f4,measles-prevalence-vaccine-attitudes_v19_850x600.svg,71,99,199918360,252293 +3542,daily-hours-spent-with-digital-media-per-adult-user,StackedBar,,953c54fdb56e03a4014f7083d1827d42,daily-hours-spent-with-digital-media-per-adult-user_v19_850x600.svg,1,9,276048952,1060 +3543,share-undernourished-2000-2017,map,,720498663592e9bfd79fe550a4790787,share-undernourished-2000-2017_v3_850x600.svg,3,12,284506984,66079 +3544,stunting-ihme-vs-gdp,ScatterPlot,,6042befdf3dcf04107e658764addf520,stunting-ihme-vs-gdp_v28_850x600.svg,560,948,155090528,2290515 +3546,number-of-deaths-from-diarrheal-diseases-by-risk-factor-for-under-5s,LineChart,,d9875353e0a905bee4affbfbfe242746,number-of-deaths-from-diarrheal-diseases-by-risk-factor-for-under-5s_v24_850x600.svg,154,167,242941416,2482167 +3547,diarrheal-disease-death-rates-in-children-under-5,StackedArea,,169159df0216d9dc88204682912a2435,diarrheal-disease-death-rates-in-children-under-5_v29_850x600.svg,40,50,327246176,321057 +3548,causes-of-death-in-children-under-5,LineChart,,5fe075ba9ef01c46b27fb4b8145066b8,causes-of-death-in-children-under-5_v45_850x600.svg,518,531,456485232,8897576 +3551,death-rate-from-rotavirus-children-under-5,map,,e6d4cbc5881a957e3f13a8dc48ad5f25,death-rate-from-rotavirus-children-under-5_v16_850x600.svg,3,12,375317928,6151 +3552,child-death-rates-by-cause,DiscreteBar,,fec4f0629f02f3d40995a8a96f6cb275,child-death-rates-by-cause_v18_850x600.svg,406,418,600624760,6991593 +3553,share-of-one-year-olds-who-received-the-rotavirus-vaccine,map,,23be3b5b3b021930653a9468f3053d15,share-of-one-year-olds-who-received-the-rotavirus-vaccine_v30_850x600.svg,2,16,374476456,27903 +3555,share-threatened-species,LineChart,,035c4428ba1ca6b1294d5e7e06b0b2f9,share-threatened-species_v14_850x600.svg,2,6,237701368,553 +3558,private-health-expenditure-per-person,map,,1457c2f8c920b6234c383dfb2a74b35f,private-health-expenditure-per-person_v18_850x600.svg,6,25,252952928,140613 +3561,southern-white-rhinos,LineChart,,ba7079727e72f840aa9ff58cb8041b8b,southern-white-rhinos_v14_850x600.svg,2,10,380836360,4882 +3562,black-rhinos,map,,f1fed57cf2f4f0faffef0ae6ec315e41,black-rhinos_v16_850x600.svg,1,28,332661792,6001 +3563,sumatran-rhinos,LineChart,,6ef843f4f0d84274aeb4a6c285b405b8,sumatran-rhinos_v7_850x600.svg,2,15,367915472,631 +3564,javan-rhinos,LineChart,,e5df2a7f0c2426ee734bb340bf54bdd1,javan-rhinos_v10_850x600.svg,1,7,375293280,1055 +3565,indian-rhinos,LineChart,,6223effa957068946605ced47414b95e,indian-rhinos_v9_850x600.svg,1,9,367504912,1404 +3566,number-of-rhinos-poached,StackedBar,,01652877349451a4ce450dbe97378cf0,number-of-rhinos-poached_v6_850x600.svg,2,9,240622712,7031 +3567,seized-rhino-horns,LineChart,,9478926cc395f331caefae815c3362ef,seized-rhino-horns_v5_850x600.svg,3,8,376309616,798 +3568,number-seized-rhino-horns,LineChart,,7118e6ffd65f80b7a37f8a0ea0136378,number-seized-rhino-horns_v3_850x600.svg,3,9,249443464,785 +3569,northern-white-rhinos,LineChart,,ba457e95d8b769a02b8a636f44500050,northern-white-rhinos_v11_850x600.svg,1,8,321087048,1455 +3571,deaths-from-lower-respiratory-infections-by-age,StackedArea,,fb25727ddb567a6391fc0a183c093afc,deaths-from-lower-respiratory-infections-by-age_v17_850x600.svg,123,135,402284120,1282366 +3573,african-elephants,LineChart,,7b44bfbdae8ffdf5c7b5a290676aaac0,african-elephants_v5_850x600.svg,1,6,328471032,2737 +3574,african-elephant-carcass-ratio,LineChart,,3dd50b728665b50304bc2f4110063c3e,african-elephant-carcass-ratio_v3_850x600.svg,2,7,239960368,402 +3575,number-of-asian-elephants,map,,b1a399f669847c965bb2cf3a20dd18e1,number-of-asian-elephants_v5_850x600.svg,1,23,323463064,1218 +3578,whale-catch,LineChart,,fb655435db387763e2ac8192615e90b4,whale-catch_v10_850x600.svg,10,26,248099760,98860 +3579,whales-killed-per-decade,StackedBar,,83dd6c924e777531eed4b520e92bb44b,whales-killed-per-decade_v9_850x600.svg,1,12,238604120,423 +3580,whale-populations,SlopeChart,,63ce86905597a1132d7afab3cfa945a4,whale-populations_v10_850x600.svg,3,10,331883376,576 +3581,share-of-adults-who-smoke,map,,785b01c6fdc2da2675554ffdf67f09c8,share-of-adults-who-smoke_v25_850x600.svg,3,19,336487184,35686 +3583,lung-cancer-deaths-men-women,ScatterPlot,,b6d09e4512b3fc37596029fb39057980,lung-cancer-deaths-men-women_v7_850x600.svg,134,241,256423712,323771 +3584,share-of-overweight-men-vs-women,ScatterPlot,,b2a9ae2f181756d7382f6652ddbb068e,share-of-overweight-men-vs-women_v14_850x600.svg,73,119,359381864,481213 +3585,obesity-vs-gdp,ScatterPlot,,8568a8c9a1a17ebfef7566fbced96765,obesity-vs-gdp_v20_850x600.svg,74,126,429367136,459633 +3587,researchers-in-rd-per-million-people-vs-gdp-pc,ScatterPlot,,a6be6a1337b536b621c81062dc9c60bc,researchers-in-rd-per-million-people-vs-gdp-pc_v19_850x600.svg,54,93,305139616,292701 +3588,pneumonia-and-lower-respiratory-diseases-deaths,StackedArea,,6945fb54200ea944460e53ce89a03bba,pneumonia-and-lower-respiratory-diseases-deaths_v37_850x600.svg,184,199,239523064,1602272 +3589,pneumonia-death-rates-in-children-under-5,map,,f799126e465589a005aed21dd1391016,pneumonia-death-rates-in-children-under-5_v35_850x600.svg,18,49,206166520,320046 +3590,number-of-deaths-from-pneumonia-in-children-under-5,map,,3b2f039827b06f8642aab1d91bb154e0,number-of-deaths-from-pneumonia-in-children-under-5_v22_850x600.svg,21,41,173300344,320290 +3591,maternal-deaths-by-income-group,StackedArea,,4d36754c862259e8459ddb0c52dff8fc,maternal-deaths-by-income-group_v18_850x600.svg,30,42,309548976,234191 +3593,death-rates-from-pneumonia-and-other-lower-respiratory-infections-vs-gdp-per-capita,ScatterPlot,,a071119a62479a435cb48bd052987475,death-rates-from-pneumonia-and-other-lower-respiratory-infections-vs-gdp-per-capita_v41_850x600.svg,616,932,343851408,2392586 +3594,share-of-one-year-olds-who-received-the-final-dose-of-pneumococcal-vaccine,map,,1d49f73624d67d61d2ae4ce7e23c9c02,share-of-one-year-olds-who-received-the-final-dose-of-pneumococcal-vaccine_v32_850x600.svg,5,16,353626120,39901 +3595,lifetime-risk-of-maternal-death,map,,69f0691a957dac3332132ef0a8e2cd8e,lifetime-risk-of-maternal-death_v23_850x600.svg,6,20,430178600,143838 +3596,deaths-from-air-pollution,StackedArea,,7c15b3a1a267faa74fa1dfe4a9f55656,deaths-from-air-pollution_v16_850x600.svg,86,96,185041480,734683 +3598,capture-and-aquaculture-production,StackedArea,,56775699bf20fd976510ef6228908e00,capture-and-aquaculture-production_v18_850x600.svg,105,112,339480464,788605 +3601,air-pollution-deaths-by-age,StackedArea,,22f9a67c48e492598286cf3abbd78efa,air-pollution-deaths-by-age_v16_850x600.svg,135,141,389719824,1223585 +3603,hib-vaccine,map,,b5f81a5e81ee8b05933a971434688e4f,hib-vaccine_v18_850x600.svg,6,20,433825280,96797 +3605,pneumonia-careseeking,map,,0f19ae23174eb596de53837bfbc5cd3f,pneumonia-careseeking_v11_850x600.svg,1,15,263225192,9009 +3606,pneumonia-risk-factors,LineChart,,ea3b5d6a5de41d2d50efa04724def58a,pneumonia-risk-factors_v22_850x600.svg,157,170,632817528,2462393 +3608,macroplastics-in-ocean,LineChart,,16ace568c8ba26f5999789179e4cbb8f,macroplastics-in-ocean_v7_850x600.svg,3,27,274169232,9991 +3609,microplastics-in-ocean,LineChart,,8f03ca646d3b6ad5d4eddc141579408d,microplastics-in-ocean_v12_850x600.svg,3,20,424799576,9843 +3612,tuberculosis-deaths-region,StackedArea,,99971ccdb19103d272df60bd19967797,tuberculosis-deaths-region_v21_850x600.svg,19,30,246221336,142019 +3613,tuberculosis-deaths,map,,61d3579562d5d76ea1c01fd6898570a8,tuberculosis-deaths_v21_850x600.svg,12,36,275313560,320298 +3615,consumption-co2-per-capita-vs-gdppc,ScatterPlot,,1ee713687a9bec4cc4058e09b13c4ff2,consumption-co2-per-capita-vs-gdppc_v47_850x600.svg,787,1090,208459992,2218793 +3616,pneumococcal-vaccination-averted-deaths,DiscreteBar,,024b926947ab2614cce7020c7646ce58,pneumococcal-vaccination-averted-deaths_v5_850x600.svg,1,9,192090200,265 +3617,diphtheria-tetanus-pertussis-vaccine-vs-pneumococcal-vaccine-coverage,ScatterPlot,,908cebc96f8e004998f4acd0ebb57b5b,diphtheria-tetanus-pertussis-vaccine-vs-pneumococcal-vaccine-coverage_v21_850x600.svg,49,89,252682240,258760 +3619,ict-adoption,LineChart,,33a59f1d978bb588ca5587017de195f5,ict-adoption_v29_850x600.svg,78,86,213596184,1014834 +3620,relative-change-in-maternal-mortality,SlopeChart,,bc1b6caf1df2e180cad2d705586807be,relative-change-in-maternal-mortality_v14_850x600.svg,5,70,471132464,23759 +3621,consumption-co2-emissions,map,,ce89066e5759481b47a60ae9b1a09069,consumption-co2-emissions_v33_850x600.svg,9,20,345912640,158215 +3622,prod-cons-co2-per-capita,LineChart,,26c85e84908b054ab1d0350fbe81bd0c,prod-cons-co2-per-capita_v37_850x600.svg,124,159,858192120,1031842 +3623,number-without-access-to-improved-sanitation,map,,dec14ae952a347ce8d183e424c5faef6,number-without-access-to-improved-sanitation_v8_850x600.svg,12,24,268489760,184068 +3624,number-without-improved-water,map,,02a3dd2d0bebc8198d196f29a449b3c4,number-without-improved-water_v10_850x600.svg,8,24,351767576,181570 +3625,age-standardized-deaths-from-all-causes,map,,00d11aeaa65c24363ec595fd3d08172f,age-standardized-deaths-from-all-causes_v28_850x600.svg,12,32,402973248,311149 +3626,maternal-mortality-vs-fertility,ScatterPlot,,69839a63c55f6c81c2acef3f2d1b2704,maternal-mortality-vs-fertility_v23_850x600.svg,123,219,290620272,651549 +3627,change-maternal-mortality-by-income-group,SlopeChart,,390149db923fa753e693a2a5a3552ed8,change-maternal-mortality-by-income-group_v15_850x600.svg,36,80,358901376,405942 +3628,infant-deaths,StackedArea,,6d769663a111bb4d10608383c5d6f60f,infant-deaths_v16_850x600.svg,108,119,492275616,960650 +3637,deaths-from-preterm-birth-complications,map,,dc22ac2666176f0aa7be0605a31ccb44,deaths-from-preterm-birth-complications_v33_850x600.svg,16,35,262860480,320376 +3638,jobs-and-personal-contacts-europe,LineChart,,d7a22496b11582a287b3a0231c18af13,jobs-and-personal-contacts-europe_v13_850x600.svg,3,13,210969600,439 +3639,job-search-methods-europe,LineChart,,8d74bb646b0166dc479e468d3a817c64,job-search-methods-europe_v8_850x600.svg,5,14,411573224,2188 +3641,child-death-change,LineChart,,6fd2be536c42deabd763e4e61b2e1e57,child-death-change_v16_850x600.svg,97,106,227527608,1280384 +3644,land-use-per-kg-poore,DiscreteBar,,dd612e654f9ff9ec0d9571ab376a6a16,land-use-per-kg-poore_v17_850x600.svg,2,18,640563792,1246 +3645,ghg-per-kg-poore,LineChart,,c5fa5d6ef46ce4ee05117cd24811aff4,ghg-per-kg-poore_v17_850x600.svg,1,12,403636904,1242 +3646,water-withdrawals-per-kg-poore,DiscreteBar,,0f1111853dca26bc9d62631cf4f2a50c,water-withdrawals-per-kg-poore_v16_850x600.svg,2,8,411293296,1271 +3647,scarcity-water-per-kg-poore,DiscreteBar,,5b593f8f4007652ac529ae394b16178a,scarcity-water-per-kg-poore_v16_850x600.svg,2,7,112039008,1320 +3649,eutrophying-emissions-per-kg-poore,DiscreteBar,,ca38ea9eddb1ef48e2aa3edce4156f7a,eutrophying-emissions-per-kg-poore_v16_850x600.svg,1,6,404979552,1259 +3650,land-use-protein-poore,DiscreteBar,,cf6bd7b617bba5948be5fee24a5ffebc,land-use-protein-poore_v20_850x600.svg,1,6,270139992,1203 +3651,ghg-per-protein-poore,DiscreteBar,,b9a447f7da015a77f931ffcbe870f1a1,ghg-per-protein-poore_v27_850x600.svg,1,5,412142200,1208 +3652,water-per-protein-poore,DiscreteBar,,24d890b0c1aa184d1ac9c7f1e737e5b5,water-per-protein-poore_v17_850x600.svg,1,13,353821976,1159 +3653,scarcity-water-protein-poore,DiscreteBar,,86a21f99b82615e395504eac93e9dd4a,scarcity-water-protein-poore_v18_850x600.svg,1,7,262780992,1165 +3654,land-use-kcal-poore,DiscreteBar,,d661fa02542b47a0b9068b3c49638ced,land-use-kcal-poore_v17_850x600.svg,1,8,406601920,1484 +3655,ghg-kcal-poore,DiscreteBar,,bf151f24161bd7aa4c647d2638b19a72,ghg-kcal-poore_v23_850x600.svg,1,7,362492560,1463 +3663,meningitis-death-rates-children-under-5,map,,538d8f2838164905c4c3701b72d3f6e2,meningitis-death-rates-children-under-5_v19_850x600.svg,16,32,274327808,320558 +3665,mortality-neonatal-asphyxia-and-trauma,map,,c65bcd139814274b35d0dc12f8959c42,mortality-neonatal-asphyxia-and-trauma_v20_850x600.svg,14,33,870950880,319947 +3667,congenital-birth-defect-mortality-rates-in-children-under-5,map,,3497a72420703b899c1c8863da979635,congenital-birth-defect-mortality-rates-in-children-under-5_v17_850x600.svg,18,36,414948072,319552 +3668,protein-energy-malnutrition-mortality-rates-in-children,map,,1e0cdc33068550d9fa62abcbbc4e6b20,protein-energy-malnutrition-mortality-rates-in-children_v16_850x600.svg,21,45,147730440,324804 +3671,number-of-tuberculosis-cases,map,,ad08239806e60cd6a8f6c06cd1c7cf06,number-of-tuberculosis-cases_v16_850x600.svg,13,38,105923968,147053 +3674,tuberculosis-mortality-rates-excludes-people-who-are-also-infected-with-hiv,LineChart,,4d9c1d8b07390f1f60ed2d7d9da40fcd,tuberculosis-mortality-rates-excludes-people-who-are-also-infected-with-hiv_v13_850x600.svg,10,19,359837592,127931 +3676,land-area-per-crop-type,LineChart,,14c4e3570e942f43eb3f39ffd7a6c619,land-area-per-crop-type_v8_850x600.svg,293,309,427896176,4758111 +3677,deaths-from-obesity-by-age,StackedArea,,819ce6c93559c2df80292b42af74db1c,deaths-from-obesity-by-age_v20_850x600.svg,119,135,265840888,1239536 +3678,number-of-child-deaths-by-the-type-of-congenital-birth-defect,LineChart,,475151aa74e5103c5cb4ef6da9fb34dc,number-of-child-deaths-by-the-type-of-congenital-birth-defect_v13_850x600.svg,160,172,310274472,2904249 +3679,child-mortality-by-the-type-of-congenital-birth-defect,LineChart,,5db0af8fac92e9aefa5485af8888ab0e,child-mortality-by-the-type-of-congenital-birth-defect_v13_850x600.svg,176,188,912289440,2901192 +3680,imported-or-exported-co-emissions-per-capita,map,,9100db9e220548c33019ca93d7d2a508,imported-or-exported-co-emissions-per-capita_v28_850x600.svg,9,22,421600640,150168 +3723,proportion-of-unemployed-using-friends-relatives-trade-unions-in-job-search,map,,edaf830db4cb22967adcdd1680a2fdf9,proportion-of-unemployed-using-friends-relatives-trade-unions-in-job-search_v14_850x600.svg,1,26,152137328,764 +3724,proportion-of-unemployed-using-specific-search-methods,LineChart,,67260a3cfe86cda4d1e827ff8094dcc3,proportion-of-unemployed-using-specific-search-methods_v7_850x600.svg,4,10,288419456,5328 +3725,male-high-blood-pressure,map,,2777b872a38b5c28c14112563f843c5f,male-high-blood-pressure_v16_850x600.svg,14,29,422706112,179933 +3726,women-high-blood-pressure,map,,3cd447c3dfc67408cf08f3db535fc2c3,women-high-blood-pressure_v14_850x600.svg,13,28,291622704,179945 +3727,number-of-deaths-from-diarrheal-diseases-in-people-aged-70-and-older-by-attributable-to-risk-factor,LineChart,,d3b53d981be3351d4121e3f57f4a7b49,number-of-deaths-from-diarrheal-diseases-in-people-aged-70-and-older-by-attributable-to-risk-factor_v23_850x600.svg,53,61,129074904,738016 +3728,deaths-rates-from-diarrheal-diseases-in-people-aged-70-and-older-by-attributable-to-risk-factor,LineChart,,ca49aa3ba894cea122cf0a5d5626ecac,deaths-rates-from-diarrheal-diseases-in-people-aged-70-and-older-by-attributable-to-risk-factor_v19_850x600.svg,51,68,172865720,738724 +3729,pneumonia-mortality-by-age,LineChart,,936a0aca54cf27348f9699df7d9ca456,pneumonia-mortality-by-age_v35_850x600.svg,102,112,449454880,1602475 +3730,deaths-from-pneumonia-in-people-aged-70-and-older-by-risk-factor,LineChart,,63962bd0b18db330da497b8b37999562,deaths-from-pneumonia-in-people-aged-70-and-older-by-risk-factor_v17_850x600.svg,62,71,303377184,978092 +3731,job-seeker-job-search-pew,DiscreteBar,,14f1f3dbb2cb2c55d6880da3117e88c6,job-seeker-job-search-pew_v6_850x600.svg,1,6,113248000,581 +3733,pneumonia-death-rates-age-standardized,map,,1f5c70b975d2b01a92dc99af905cddc3,pneumonia-death-rates-age-standardized_v32_850x600.svg,16,34,128462680,311622 +3734,child-deaths-from-malaria,map,,4c2a6cf98141a60d3cf62ab705486b81,child-deaths-from-malaria_v21_850x600.svg,15,35,272917344,288341 +3735,child-deaths-from-malaria-number,map,,33dc5c905713e1d3c192559bc8bc6e1c,child-deaths-from-malaria-number_v25_850x600.svg,20,38,119050656,286751 +3737,number-of-new-hiv-child-infections-vs-number-of-infections-averted-due-to-pmtct,LineChart,,ab3439f66c8b47de4adba9ff39528172,number-of-new-hiv-child-infections-vs-number-of-infections-averted-due-to-pmtct_v7_850x600.svg,15,21,171499168,229549 +3738,arable-land-pin,LineChart,,e17a698f82439e4b4effdfa159345205,arable-land-pin_v10_850x600.svg,17,30,179729488,408240 +3739,neonatal-deaths-by-cause,LineChart,,3ae6eb98f7e20b71a05105907904d8c8,neonatal-deaths-by-cause_v20_850x600.svg,240,248,193548584,3851180 +3740,deaths-from-preterm-birth-complications-vs-gdp,ScatterPlot,,9ff3dd7e00a2421d7c17b17e533240c5,deaths-from-preterm-birth-complications-vs-gdp_v36_850x600.svg,533,861,451452432,2392916 +3742,share-deaths-from-natural-disasters,StackedBar,,65ad3a50d3ad1fe9ceb367c0bb44ba92,share-deaths-from-natural-disasters_v20_850x600.svg,28,37,308692312,290822 +3743,tetanus-deaths-by-age-group,StackedArea,,012d17b55b936519f814212fa04983fd,tetanus-deaths-by-age-group_v20_850x600.svg,169,180,317515288,1667770 +3746,tetanus-deaths-by-region,StackedArea,,6d7ac14528cf27b8ee697a1862566427,tetanus-deaths-by-region_v25_850x600.svg,37,47,129740424,327111 +3747,number-of-tetanus-deaths-in-children-under-5,StackedArea,,fb5881e2d9663971e5634182a507d477,number-of-tetanus-deaths-in-children-under-5_v22_850x600.svg,39,45,926191952,335946 +3748,tetanus-mortality-in-children-under-5,map,,94c335b2518b99f87f85c6659095977e,tetanus-mortality-in-children-under-5_v15_850x600.svg,18,37,192893688,338279 +3749,disease-burden-by-risk-factor,LineChart,,367dde5beb739c5032ee3ef303d0d198,disease-burden-by-risk-factor_v17_850x600.svg,333,353,526716120,5598517 +3750,number-of-new-tetanus-cases-in-children-under-5,StackedArea,,ee9f12d79fc739d1fc26ccff284fe7be,number-of-new-tetanus-cases-in-children-under-5_v19_850x600.svg,23,33,312637496,254145 +3751,reported-tetanus-cases,map,,b431bf6dbc929f79de24d5be174a09df,reported-tetanus-cases_v14_850x600.svg,9,25,930068312,183597 +3754,child-deaths-from-streptococcus-by-disease,StackedArea,,5b18936bea2fca6fa9377d9ded100052,child-deaths-from-streptococcus-by-disease_v13_850x600.svg,46,52,133667040,249093 +3755,death-rates-from-air-pollution,LineChart,,1b6f2f7c213b3f4feb2dd2b33556f953,death-rates-from-air-pollution_v15_850x600.svg,68,75,337400776,956594 +3756,air-pollution-deaths-country,map,,eb225a2edc1cd273a3a4847e1aac3665,air-pollution-deaths-country_v16_850x600.svg,13,29,196016456,243548 +3758,share-deaths-air-pollution,map,,df5916af52dd364b6a1dc2ed9e2f9301,share-deaths-air-pollution_v17_850x600.svg,13,32,928329192,244132 +3759,share-deaths-indoor-pollution,map,,e13c307f95e1129e258044e6796687a7,share-deaths-indoor-pollution_v15_850x600.svg,8,23,444892000,250330 +3760,share-deaths-outdoor-pollution,map,,36a36e5975a452ab928d464441d2fbee,share-deaths-outdoor-pollution_v18_850x600.svg,17,36,139515088,243797 +3761,indoor-pollution-deaths-1990-2017,ScatterPlot,,6ec32b7bdacc5ed798ea8d3e368b4dfc,indoor-pollution-deaths-1990-2017_v15_850x600.svg,95,133,211374968,500375 +3762,death-rate-indoor-pollution-1990-2017,ScatterPlot,,5e4b5290707351e87219df872448ae16,death-rate-indoor-pollution-1990-2017_v19_850x600.svg,65,108,351754608,492581 +3763,deaths-attributed-to-alcohol-use-by-age,StackedArea,,067e54de3d688f9519d82dc044658566,deaths-attributed-to-alcohol-use-by-age_v16_850x600.svg,187,197,959569216,1168523 +3764,rate-of-premature-deaths-due-to-alcohol,map,,e6a2a50b9d8d25fe7acf3865e2325918,rate-of-premature-deaths-due-to-alcohol_v23_850x600.svg,10,27,441069256,237480 +3765,gross-national-income-per-capita,map,,8a6ad612f82593e056022d8fc5b625be,gross-national-income-per-capita_v30_850x600.svg,8,36,142483424,147887 +3767,share-deaths-cardiovascular-disease,map,,0e768707c81390bebf4042b1f1790823,share-deaths-cardiovascular-disease_v22_850x600.svg,19,38,325273816,319912 +3768,people-who-report-having-friends-or-relatives-they-can-count-on,DiscreteBar,,13cf33da552bd7698c3a4171168c7271,people-who-report-having-friends-or-relatives-they-can-count-on_v6_850x600.svg,3,15,428555896,1238 +3769,share-deaths-aids,LineChart,,fa2b4e9a0947dd5e1ed2ea3ac31aaf61,share-deaths-aids_v22_850x600.svg,15,33,145882552,329883 +3770,share-of-children-under-five-years-old-with-hiv,map,,000aaebd9238a254aae754788fd246f8,share-of-children-under-five-years-old-with-hiv_v22_850x600.svg,13,25,443486144,264123 +3771,homicide-rate-1990-vs-2020,ScatterPlot,,e2510bd2576d97aec0ee0b56242ec88f,homicide-rate-1990-vs-2020_v38_850x600.svg,49,94,199621032,288713 +3772,number-of-child-deaths,LineChart,,2f45d5f9846e3dd04420c42f1eb8cd70,number-of-child-deaths_v19_850x600.svg,18,30,332971392,319694 +3773,death-rates-smoking-age,LineChart,,53fdacb789cdcad47476804c2aa40b1e,death-rates-smoking-age_v16_850x600.svg,51,66,151090768,731053 +3775,smoking-death-rate-1990-2017,ScatterPlot,,518018342ca670b7b904efcf187ef5a7,smoking-death-rate-1990-2017_v15_850x600.svg,67,115,447800248,483993 +3776,smoking-deaths-1990-2017,ScatterPlot,,23aaae01e71898e173ead3d4f9d593c3,smoking-deaths-1990-2017_v19_850x600.svg,105,146,230975696,879280 +3777,adults-smoking-2007-2018,ScatterPlot,,2b0089d877cb5b217c3d1c3b847079ea,adults-smoking-2007-2018_v14_850x600.svg,15,35,357941416,81057 +3778,share-deaths-smoking,map,,190b0207d0aa2abfb9a4ead09b27927e,share-deaths-smoking_v16_850x600.svg,18,36,348094376,244049 +3779,one-person-households,LineChart,,df09a7edf08497ae57865fa81a1207e1,one-person-households_v26_850x600.svg,3,23,336561088,31177 +3780,share-deaths-secondhand-smoke,map,,09d953732504668258bb013dd2c168f7,share-deaths-secondhand-smoke_v13_850x600.svg,16,36,363291120,245626 +3781,adults-living-alone,LineChart,,748cf8629ec2c44fd345351d23487a6a,adults-living-alone_v6_850x600.svg,2,9,343695664,1768 +3783,women-survival-to-age-65,map,,537c69cde60ef5da216b0a8d896a1b91,women-survival-to-age-65_v14_850x600.svg,20,40,161352408,472644 +3784,men-survival-to-age-65,map,,7d8d4c48ef680e2b0bd44235e23736c6,men-survival-to-age-65_v15_850x600.svg,17,40,352357136,473929 +3786,share-deaths-suicide,LineChart,,19b6dca38f64f244b9d1f1384ea7619f,share-deaths-suicide_v31_850x600.svg,20,29,354436416,324400 +3787,suicide-rates-by-age-detailed,LineChart,,ff9cbd992c456fc2691c5ad69a0982e1,suicide-rates-by-age-detailed_v34_850x600.svg,94,100,218852304,1606804 +3789,number-suicide-deaths,map,,631fbbd4750b6629a61ec40f88afee89,number-suicide-deaths_v30_850x600.svg,14,41,961866616,320058 +3794,suicide-rate-1990-2019,ScatterPlot,,ee32b6944741859640d2b29c7952eb1e,suicide-rate-1990-2019_v37_850x600.svg,901,1393,270474712,3105955 +3795,prevalence-of-lymphatic-filariasis,map,,eccb944580988f15a01d180c9442b8a7,prevalence-of-lymphatic-filariasis_v29_850x600.svg,14,27,354910160,208926 +3796,one-person-households-vs-gdp-per-capita,ScatterPlot,,67052ad51ed893b8f61163ecc3c12093,one-person-households-vs-gdp-per-capita_v27_850x600.svg,532,1042,155037896,2103717 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+3838,schools-access-computers,LineChart,,b8e629962a9fee79a56736c755f1acbb,schools-access-computers_v13_850x600.svg,7,16,461119568,63955 +3839,primary-schools-with-access-to-internet,map,,1ee2e6d1936782322e3b2c0b2018b1ba,primary-schools-with-access-to-internet_v21_850x600.svg,4,15,421534680,21036 +3840,share-of-schools-with-access-to-single-sex-basic-sanitation,LineChart,,a06c0fd49142df2b2777e4347a6a3fc5,share-of-schools-with-access-to-single-sex-basic-sanitation_v13_850x600.svg,8,24,611932408,60269 +3841,schools-materials-students-with-disabilities,LineChart,,8f146304906c6cceb876b7431f77ed4c,schools-materials-students-with-disabilities_v11_850x600.svg,5,16,462335552,23275 +3842,systems-track-gender-equality,map,,cbce8533cb521e11fb3bb9ad3ea248a6,systems-track-gender-equality_v18_850x600.svg,2,10,284120448,3601 +3843,wastewater-safely-treated,map,,4e5eb92b89a4f1a555513dda27005bd5,wastewater-safely-treated_v18_850x600.svg,3,10,1032665552,8600 +3844,water-bodies-good-water-quality,DiscreteBar,,724cb9de3b93f18e2e8725fd86608d96,water-bodies-good-water-quality_v14_850x600.svg,4,11,463737888,15386 +3845,water-basins-cooperation-plan,DiscreteBar,,ea54f2cab9712ca9f9e524b983529e1b,water-basins-cooperation-plan_v14_850x600.svg,9,17,621424720,15162 +3847,share-of-countries-with-procedures-for-community-participation-in-water-sanitation-management,LineChart,,758976c3c3330308da2dbf994f835a96,share-of-countries-with-procedures-for-community-participation-in-water-sanitation-management_v16_850x600.svg,2,14,409347776,556 +3848,international-finance-clean-energy,map,,9f5548a1c4b4bf3c10c01fb9a7e5124c,international-finance-clean-energy_v19_850x600.svg,5,26,337927160,103445 +3849,small-scale-industries-share,map,,d3966d006c70c0729f0b939653c0079d,small-scale-industries-share_v17_850x600.svg,2,15,469440392,19086 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+3857,regulation-illegal-fishing,map,,1536a93b1d68a91d155140c274df0731,regulation-illegal-fishing_v16_850x600.svg,2,7,338392192,7983 +3858,ocean-research-funding,map,,12ea8ee212f2223bcb9eda32a086d0c6,ocean-research-funding_v21_850x600.svg,2,8,422991608,4524 +3859,share-degraded-land,map,,630ddcbffa21d25344c7040e8a153e77,share-degraded-land_v18_850x600.svg,4,27,622718872,7371 +3860,safety-walking-alone,map,,e14f31e592d2f2ab7cab27b670c3a339,safety-walking-alone_v11_850x600.svg,2,8,287035416,5320 +3861,share-of-victims-who-reported-crime-to-the-police,LineChart,,4122c6a6c61c5da33461e0f309d16058,share-of-victims-who-reported-crime-to-the-police_v13_850x600.svg,6,19,310519368,14315 +3862,bribery-prevalence-un,map,,beebd0d39808ee83d2b9fe7e3c307d0f,bribery-prevalence-un_v16_850x600.svg,4,22,1037196480,7104 +3863,govt-expenditure-share-budget,map,,32cf51ae0175ee5b8cbd980de589f810,govt-expenditure-share-budget_v22_850x600.svg,4,18,343850720,65533 +3864,national-statistical-legislation,map,,48e6bc27c574fbe7bfd08f6f256da4b0,national-statistical-legislation_v21_850x600.svg,2,9,310575608,18825 +3865,resources-statistical-capacity,map,,7416ea9e0f33f5354661677c4c67f799,resources-statistical-capacity_v26_850x600.svg,4,11,294621912,50634 +3866,global-vaccination-coverage,LineChart,,412685cbe3f6e2f05cc5dafffcf2e0b0,global-vaccination-coverage_v13_850x600.svg,103,110,434149904,1249425 +3868,primary-energy-cons,map,,b6bd862885cb3ce8337dbbab663f7eb9,primary-energy-cons_v26_850x600.svg,22,54,482531968,409071 +3872,share-of-mothers-receiving-at-least-one-antenatal-visit-during-pregnancy,map,,4ebe1729b50dc8cb408ce4f7c1ee5ebd,share-of-mothers-receiving-at-least-one-antenatal-visit-during-pregnancy_v24_850x600.svg,3,15,268489784,28133 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+3881,renewable-energy-gen,LineChart,,39d885ed103d39b8a3e0c323fe96d7c8,renewable-energy-gen_v14_850x600.svg,59,72,1044619040,615132 +3884,share-deaths-unsafe-sanitation,map,,25f39c62b704e75561a35ac0fc77d54f,share-deaths-unsafe-sanitation_v15_850x600.svg,9,24,283108768,252301 +3886,death-rates-from-unsafe-sanitation-vs-gdp-per-capita,ScatterPlot,,29822997580423ba5171e59e0eaade31,death-rates-from-unsafe-sanitation-vs-gdp-per-capita_v28_850x600.svg,71,129,332535216,470140 +3887,share-of-children-vaccinated-with-mcv2,map,,b73963d5e1d6ea96e83f89591de5772b,share-of-children-vaccinated-with-mcv2_v22_850x600.svg,6,21,487159048,80439 +3889,number-of-births-per-year,LineChart,,30d5f7d3f19378ca6703ce70174d3feb,number-of-births-per-year_v20_850x600.svg,209,233,321438744,1145818 +3890,number-of-deaths-per-year,LineChart,,8130765fb7c4d4812a17b1701e5e7a71,number-of-deaths-per-year_v23_850x600.svg,286,301,656398744,1167333 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+3913,deaths-from-substance-disorders,map,,fd986139f60d7400488d560c5e3ffc3c,deaths-from-substance-disorders_v23_850x600.svg,15,35,491924648,320537 +3915,deaths-substance-disorders-age,StackedArea,,a2ae1ab56b7052b35d72e169170ca232,deaths-substance-disorders-age_v25_850x600.svg,188,205,331996328,1462443 +3916,death-rate-amphetamine,map,,9b9f1b2861ab42b2e196bbede90166f1,death-rate-amphetamine_v31_850x600.svg,24,40,347983400,334409 +3917,death-rates-cocaine,map,,80256531827a6bb1bb20861fd659862a,death-rates-cocaine_v35_850x600.svg,15,29,502030136,329941 +3918,deaths-drug-overdoses,LineChart,,7d44d4249e55705ffc1389b9dc328603,deaths-drug-overdoses_v19_850x600.svg,105,118,511743928,1307401 +3919,deaths-illicit-drugs,DiscreteBar,,636a4b7e21f4215004fef7d4ea86b6ba,deaths-illicit-drugs_v30_850x600.svg,48,60,336124880,566138 +3921,death-rate-from-cardiovascular-diseases-by-risk-factor-age-standardized,LineChart,,1be22b78fcc9ddbbd0ec93e99dd67480,death-rate-from-cardiovascular-diseases-by-risk-factor-age-standardized_v38_850x600.svg,159,173,383976520,2858104 +3922,co2-mitigation-15c,LineChart,,19522a5f1641baabb8df38735e1ee681,co2-mitigation-15c_v11_850x600.svg,5,22,510106704,93867 +3923,co2-mitigation-2c,LineChart,,e22e332d764841fde20b4d64eaf05260,co2-mitigation-2c_v10_850x600.svg,11,35,161645584,107044 +3924,primary-energy-consumption-by-source,LineChart,,2db5a5ccd8e80728b72296f125d8d3e1,primary-energy-consumption-by-source_v26_850x600.svg,90,115,408520024,1367531 +3927,marriage-rate-per-1000-inhabitants,LineChart,,1c88c1bed5e133f20294fbc45b62f1f0,marriage-rate-per-1000-inhabitants_v15_850x600.svg,5,27,654086168,92176 +3928,share-of-births-outside-marriage,LineChart,,4ab7af3895a83596a9c505e97385de7a,share-of-births-outside-marriage_v10_850x600.svg,2,15,466163480,51862 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+4312,the-cost-of-inequality-economic-disparity-and-the-fraction-of-workers-employed-as-guards,ScatterPlot,,29733bc294ef04b723c82bce3459bbd2,the-cost-of-inequality-economic-disparity-and-the-fraction-of-workers-employed-as-guards_v5_850x600.svg,2,14,312052992,1084 +4313,the-ratio-scale-and-an-exponential-function,LineChart,,dfc7591310a3e6c1a044de70a2b5ee9b,the-ratio-scale-and-an-exponential-function_v10_850x600.svg,2,9,311899080,8774 +4314,the-linear-scale-in-natural-logs-and-a-linear-function,LineChart,,eaf03d76f151bec6d79bd50972fcffb8,the-linear-scale-in-natural-logs-and-a-linear-function_v10_850x600.svg,1,14,311779064,10924 +4315,share-electricity-low-carbon,map,,e3c7a59ee4c6e372dc1a6b15aedf3fef,share-electricity-low-carbon_v33_850x600.svg,17,39,323279536,227387 +4316,elec-fossil-nuclear-renewables,StackedArea,,d62ed50f025bad58670ce76b2bf96753,elec-fossil-nuclear-renewables_v43_850x600.svg,116,131,337207768,566961 +4317,electricity-production-by-source,LineChart,,c71ea3c0d059598cecab5de6d9df5b8d,electricity-production-by-source_v37_850x600.svg,129,146,376947008,1860072 +4318,electricity-prod-source-stacked,StackedArea,,8517a990337d2784fc503c9ab1689142,electricity-prod-source-stacked_v48_850x600.svg,276,296,1278800160,1615698 +4319,share-electricity-coal,map,,e6fb602566c93291fceca1c6dc1f86b0,share-electricity-coal_v29_850x600.svg,20,56,317284728,200241 +4320,share-electricity-gas,map,,22ac1cb6c2c77bf60fa08d44cf3df45d,share-electricity-gas_v30_850x600.svg,8,35,315350816,202761 +4321,share-electricity-hydro,map,,7a67b4c898584e377762948d2c4b25c9,share-electricity-hydro_v29_850x600.svg,10,32,386353656,232002 +4322,share-electricity-nuclear,map,,8d122a9a0cf202e260817e5f911c493d,share-electricity-nuclear_v31_850x600.svg,15,37,316944328,202709 +4323,share-electricity-wind,map,,9214223bedd4baa7401bf84e7b9808d5,share-electricity-wind_v30_850x600.svg,10,29,392132088,213013 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+4350,uk-gdp-growth-19572016,LineChart,,71007becd48dd9e45c407a509e943006,uk-gdp-growth-19572016_v6_850x600.svg,1,7,954768344,2235 +4351,uk-unemployment-rate-19712017,LineChart,,0dddbd466629197227f3de7b2b1dca18,uk-unemployment-rate-19712017_v8_850x600.svg,1,9,962081320,1677 +4352,daily-new-estimated-covid-19-infections-lshtm-model,LineChart,,c6dd5b243d234918eee23ec48c7d509c,daily-new-estimated-covid-19-infections-lshtm-model_v2948_850x600.svg,2057,2089,258963408,14668048 +4353,cereal-yield-vs-extreme-poverty,LineChart,,c25ff20eb8226a3aa3bec9e6fcf5d59c,cereal-yield-vs-extreme-poverty_v40_850x600.svg,58,73,497900400,424979 +4354,cereal-yield-vs-extreme-poverty-scatter,ScatterPlot,,f2d55b2e91b94eeef2cbb24299cb1146,cereal-yield-vs-extreme-poverty-scatter_v23_850x600.svg,281,332,865812440,2278845 +4355,uk-inflation-rate-19892019,LineChart,,242212188bfe7e66f5dad6147040e8c7,uk-inflation-rate-19892019_v5_850x600.svg,1,13,505165624,1091 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+4668,pollution-deaths-from-fossil-fuels,map,,61b9c71202d911bc3bb19368a19f3bd7,pollution-deaths-from-fossil-fuels_v4_850x600.svg,2,8,1493808624,5400 +4669,energy-use-per-person-vs-gdp-per-capita,ScatterPlot,,919e62fddba6e1701275dbb2611d4a6b,energy-use-per-person-vs-gdp-per-capita_v36_850x600.svg,195,332,1511670528,582367 +4670,change-forest-vs-gdp,ScatterPlot,,54d50f0db484372462d353c00eb0dcd3,change-forest-vs-gdp_v10_850x600.svg,73,128,1245817528,246931 +4671,domestic-forest-change-vs-imported-deforestation,ScatterPlot,,fdeefb897e35d8de004b67a0fa69e563,domestic-forest-change-vs-imported-deforestation_v6_850x600.svg,40,74,1251413840,95243 +4672,exported-deforestation,map,,522d94d394a1696aa04061c379e94139,exported-deforestation_v5_850x600.svg,4,15,1318845768,59859 +4673,imported-deforestation,map,,c8c7b0d871a4996bce5401fa6cd0e6f8,imported-deforestation_v5_850x600.svg,6,36,1257882816,70836 +4674,net-deforestation-in-trade,map,,ef470c429a23056c9a07c5ca11b09108,net-deforestation-in-trade_v8_850x600.svg,4,21,1143477448,72201 +4675,vegetable-oil-production,LineChart,,d8a5a21277555e0df2afa75aee3558e2,vegetable-oil-production_v11_850x600.svg,261,290,1337324896,1764715 +4676,land-use-for-vegetable-oil-crops,StackedArea,,fe472f4378c2a265be13d52456305f15,land-use-for-vegetable-oil-crops_v8_850x600.svg,967,982,208418520,2364472 +4677,oil-yield-by-crop,DiscreteBar,,03d49bcaf15d24f931399a55e96b02c8,oil-yield-by-crop_v13_850x600.svg,442,456,121529528,1685935 +4678,area-per-tonne-oil,LineChart,,da48d582c3df752f084c1f3e271215e1,area-per-tonne-oil_v14_850x600.svg,161,169,1545137048,1647441 +4679,area-land-needed-to-global-oil,LineChart,,2e268aa3c361d3cca32cc1de132aa53e,area-land-needed-to-global-oil_v12_850x600.svg,149,157,1582350080,1660339 +4680,change-in-production-yield-and-land-palm,LineChart,,d2d2738af7b6f229cc799b9c3a66ce83,change-in-production-yield-and-land-palm_v8_850x600.svg,45,54,1591402232,413239 +4681,palm-oil-imports,map,,5f6809620e64086ac860c915de0e1d61,palm-oil-imports_v10_850x600.svg,15,35,1555691304,362433 +4683,average-effective-retirement-men,LineChart,,49612656e3c4bf7cf6f4cc98d846c2fa,average-effective-retirement-men_v11_850x600.svg,4,19,1595135688,61697 +4684,average-effective-retirement-women,LineChart,,19b8efae2148886ba49b8d68ec50e55c,average-effective-retirement-women_v10_850x600.svg,3,12,1339463128,61571 +4685,global-land-use-since-10000bc,StackedArea,,74e9984a8cd2dc2c7599c3389c26384b,global-land-use-since-10000bc_v11_850x600.svg,31,44,1551818944,180305 +4686,declining-share-of-the-top-1-in-some-european-economies-and-japan-with-finland,LineChart,,b9701321a2396b771288c64c45785649,declining-share-of-the-top-1-in-some-european-economies-and-japan-with-finland_v5_850x600.svg,3,18,1595881824,21854 +4687,manufacturing-wages-relative-to-the-us-with-finland,map,,c0cddbeab3769f1927223508b28aedd1,manufacturing-wages-relative-to-the-us-with-finland_v9_850x600.svg,1,10,1250160880,1133 +4688,catching-up-and-stagnating-manufacturing-wages-relative-to-the-us-with-finland,LineChart,,08bfdd5d4814f82604a00a202ecfa03e,catching-up-and-stagnating-manufacturing-wages-relative-to-the-us-with-finland_v4_850x600.svg,1,19,1340447328,10733 +4691,covid-vaccination-policy,map,,cbec6d22e73739862d878dd6f7d03492,covid-vaccination-policy_v905_850x600.svg,660,1175,243771752,4967827 +4692,extent-of-intensive-agriculture,map,,36de638b0ad1dbe039be5d18f4cc78cb,extent-of-intensive-agriculture_v4_850x600.svg,4,17,1249391112,52135 +4693,share-regions-with-land-use,LineChart,,4195f09e0d49740a35e2ab220cba9576,share-regions-with-land-use_v2_850x600.svg,1,12,1545637448,21042 +4695,share-of-household-consumption-in-gdp-vs-gdp-per-capita,ScatterPlot,,e6dd6c8c324b4ce69a724bdd940c6652,share-of-household-consumption-in-gdp-vs-gdp-per-capita_v30_850x600.svg,986,1370,220432712,2521716 +4698,share-of-the-population-living-in-extreme-poverty-vs-average-consumption-or-income,ScatterPlot,,35a29cb56a9b214528cdde816acf63b4,share-of-the-population-living-in-extreme-poverty-vs-average-consumption-or-income_v49_850x600.svg,692,1292,161427496,2033599 +4700,historical-share-of-population-living-on-less-than-5-per-day,LineChart,,22aaecf1b6239e863f56d00a3f35c981,historical-share-of-population-living-on-less-than-5-per-day_v3_850x600.svg,4,18,1242558392,101039 +4701,historical-share-of-population-living-on-less-than-per-day2,LineChart,,2a3f19e8a48ed5b26bc928e712baf729,historical-share-of-population-living-on-less-than-per-day2_v2_850x600.svg,4,11,1241138872,101918 +4702,cumulative-covid-vaccinations,LineChart,,43c9fdca763d05065961b04d5544c836,cumulative-covid-vaccinations_v1667_850x600.svg,184,229,1265406344,2743728 +4703,covid-vaccination-doses-per-capita,LineChart,,0bc340051cbe6b792a1d090b85af7a1c,covid-vaccination-doses-per-capita_v1701_850x600.svg,193,254,263905056,2537469 +4704,share-of-gov-expenditure-in-gdp-vs-gdp-per-capita,ScatterPlot,,f10db9a39ff7734e45fa8c88e7e535be,share-of-gov-expenditure-in-gdp-vs-gdp-per-capita_v28_850x600.svg,651,993,267631960,2525232 +4705,share-of-government-consumption-at-current-ppps-vs-share-of-the-population-living-on-less-than-190-per-day,ScatterPlot,,312e7c296e38bd30b885a02b67add5c7,share-of-government-consumption-at-current-ppps-vs-share-of-the-population-living-on-less-than-190-per-day_v58_850x600.svg,629,1023,1397035176,2280979 +4707,historical-share-of-population-living-on-less-than-5-per-day-roser-hasell,StackedArea,,1cfca56370bd71282df0d81b26b4f4ba,historical-share-of-population-living-on-less-than-5-per-day-roser-hasell_v16_850x600.svg,3,18,249152368,7615 +4711,uk-daily-covid-cases-7day-average,LineChart,,4d354417f5fcacf6c381e4847f7f18cb,uk-daily-covid-cases-7day-average_v890_850x600.svg,374,410,335850656,9707823 +4712,uk-daily-new-covid-cases,LineChart,,01e6f0f56bf523ef2a2eac9771ff67d7,uk-daily-new-covid-cases_v880_850x600.svg,435,478,303619560,9638830 +4713,uk-daily-covid-deaths,LineChart,,86e7807b0e4d0bceb4ce405db7264931,uk-daily-covid-deaths_v883_850x600.svg,280,324,530751608,6395148 +4714,uk-covid-positivity,LineChart,,d03456972156f174be4207a6c63a5567,uk-covid-positivity_v877_850x600.svg,281,318,400032248,5993683 +4715,uk-covid-hospital-patients,LineChart,,2327873d6a7b0fc0f7f372aedb455edd,uk-covid-hospital-patients_v876_850x600.svg,9,40,269841192,153307 +4716,uk-daily-covid-admissions,LineChart,,76564d1bb61b6d7ca0119276dfcd6ddb,uk-daily-covid-admissions_v883_850x600.svg,9,38,248383096,164470 +4717,deforestation-drivers-indonesia,StackedBar,,681e4d47ccfd18fb167b6d1d46388b76,deforestation-drivers-indonesia_v6_850x600.svg,2,17,295162048,3762 +4718,daily-covid-19-vaccination-doses,map,,3ea8f5f28712daf39c3951204d057894,daily-covid-19-vaccination-doses_v1595_850x600.svg,297,969,432159768,5482187 +4719,daily-covid-vaccination-doses-per-capita,LineChart,,0587155cc52c41d2dc48ab3210bf8f22,daily-covid-vaccination-doses-per-capita_v1622_850x600.svg,347,392,371780480,5308085 +4726,soil-lifespans,ScatterPlot,,61953f64663ab8996b147240d5eeb2cd,soil-lifespans_v6_850x600.svg,8,42,246324800,68440 +4728,people-vaccinated-covid,LineChart,,cff82de8838df8400ff5b1845a82b32f,people-vaccinated-covid_v1516_850x600.svg,155,200,193336408,2581527 +4729,share-people-vaccinated-covid,LineChart,,6093d9b2443583cdce5731720ae096cc,share-people-vaccinated-covid_v1534_850x600.svg,177,238,289721048,2362183 +4730,people-fully-vaccinated-covid,LineChart,,bc5595d8c0fe32be823e38025b359388,people-fully-vaccinated-covid_v1529_850x600.svg,172,210,561392848,2481512 +4731,share-people-fully-vaccinated-covid,LineChart,,451a032c30073a552b479651b80a9d0f,share-people-fully-vaccinated-covid_v1535_850x600.svg,177,228,428216056,2272733 +4732,projected-change-dependency-ratios,LineChart,,d77d8b6e2b9f44775ef116e7afaf1299,projected-change-dependency-ratios_v8_850x600.svg,4,12,222144920,29919 +4733,covid-vaccinations-vs-covid-death-rate,ScatterPlot,,8ca8c3c77c17d7f87f7e2cdc13703087,covid-vaccinations-vs-covid-death-rate_v4140_850x600.svg,6513,10461,798099560,14600847 +4735,us-total-covid-vaccine-doses-distributed,LineChart,,9d8a8c9d187178e46c15bf2a0fb79aee,us-total-covid-vaccine-doses-distributed_v4565_850x600.svg,62,141,1413041600,1055340 +4736,us-covid-vaccine-doses-distributed-per-100,LineChart,,18e08573a53640329a0032a95d2ecb02,us-covid-vaccine-doses-distributed-per-100_v4567_850x600.svg,63,99,196474552,961202 +4737,us-total-covid-19-vaccine-doses-administered,LineChart,,cf83a22c6c2d5f0fd8fa6920a8e9a858,us-total-covid-19-vaccine-doses-administered_v4568_850x600.svg,54,111,1417173104,1060312 +4738,us-state-covid-vaccines-per-100,LineChart,,7c84aa7238070e25d62b29177343dac7,us-state-covid-vaccines-per-100_v4570_850x600.svg,60,94,560977832,957209 +4739,us-covid-19-total-people-vaccinated,LineChart,,0bf7822989153d7f597101da01036786,us-covid-19-total-people-vaccinated_v4563_850x600.svg,62,97,296425160,1042598 +4740,us-covid-19-share-people-vaccinated,LineChart,,697c55b3d22b39383062753952ac0374,us-covid-19-share-people-vaccinated_v4566_850x600.svg,69,102,442430920,937829 +4741,us-covid-number-fully-vaccinated,LineChart,,ded0bc2a2a2ba96af2c5c6726ff653fe,us-covid-number-fully-vaccinated_v4565_850x600.svg,55,98,205441368,1036269 +4742,us-covid-share-fully-vaccinated,LineChart,,85de360fbef003d718af180b9c6b235d,us-covid-share-fully-vaccinated_v4561_850x600.svg,55,99,376938536,933782 +4743,us-share-covid-19-vaccine-doses-used,LineChart,,d884964ca6a0689202e2a51295bb93bf,us-share-covid-19-vaccine-doses-used_v4563_850x600.svg,62,136,1441382168,988344 +4744,us-daily-covid-vaccine-doses-administered,LineChart,,437604594c1a7433ea8dc01b1941e3fe,us-daily-covid-vaccine-doses-administered_v4565_850x600.svg,96,144,316529056,1627125 +4745,us-daily-covid-vaccine-doses-per-100,LineChart,,a240c1585a9d6e1eccc5f9c8a0ca9371,us-daily-covid-vaccine-doses-per-100_v4565_850x600.svg,100,150,595773296,1517348 +4748,share-global-co2-coal,map,,ed5737cf43184a3443ec4f28442c5b84,share-global-co2-coal_v24_850x600.svg,59,129,454709736,807690 +4749,share-global-co2-oil,map,,472781dbebf2808437486a2c8582f651,share-global-co2-oil_v25_850x600.svg,57,130,214736376,800716 +4750,share-global-co2-gas,map,,e0bf667dc6d627cba4df8d4b0ce80f83,share-global-co2-gas_v24_850x600.svg,59,140,383257176,652991 +4751,share-global-co2-flaring,map,,12920ce2211dfd5f5f9b42a6d75765c2,share-global-co2-flaring_v25_850x600.svg,42,80,1452712520,461835 +4752,share-global-co2-cement,map,,b1aa0ee7b1fe4c51d5b8cb473030831d,share-global-co2-cement_v25_850x600.svg,64,139,600306984,632999 +4753,cumulative-co2-coal,map,,38b6460fc3162fb96d3664ef0c23c5ed,cumulative-co2-coal_v24_850x600.svg,61,156,323520040,789118 +4754,cumulative-co2-oil,map,,50026c8b8862e1f6761f59d298be792e,cumulative-co2-oil_v22_850x600.svg,67,154,460301248,797478 +4755,cumulative-co2-gas,map,,bd88c1690919342d0bb2751c27e3ae27,cumulative-co2-gas_v22_850x600.svg,64,150,236383008,712685 +4756,cumulative-co2-cement,map,,94e6557d115e1bb5563b77983d277d3a,cumulative-co2-cement_v22_850x600.svg,63,160,389241440,698138 +4757,cumulative-co2-flaring,map,,bce271e6de1bc04a9089e9011157f107,cumulative-co2-flaring_v24_850x600.svg,73,158,1455012816,681197 +4758,share-global-cumulative-co2-coal,map,,e83d83b63f2a439e820d1b847c2a6c85,share-global-cumulative-co2-coal_v24_850x600.svg,70,158,616489024,839335 +4759,share-global-cumulative-co2-gas,map,,201ebea2f9438a50026f5fbf320368ba,share-global-cumulative-co2-gas_v24_850x600.svg,66,134,331731088,660456 +4760,share-global-cumulative-co2-flaring,map,,8a121bed225db0f4c2d786fe98a9b7b4,share-global-cumulative-co2-flaring_v24_850x600.svg,23,47,459165576,467154 +4761,share-global-cumulative-co2-cement,map,,6b55191848e5de4b4f499c9d7724f818,share-global-cumulative-co2-cement_v25_850x600.svg,66,157,239519824,637136 +4762,share-cumulative-co2-oil,map,,64da61aa01d6efb6c0c9edb684c3316e,share-cumulative-co2-oil_v25_850x600.svg,73,154,419376184,805391 +4764,global-whale-biomass,SlopeChart,,915f2cbc3cb51dfb6117591380b15638,global-whale-biomass_v6_850x600.svg,2,18,1462616728,600 +4765,change-co2-annual-pct,map,,3e14349ee461e4838bba50545583040a,change-co2-annual-pct_v26_850x600.svg,75,145,473635176,821930 +4766,cumulative-co2-fuel,StackedArea,,a8fcd6a04ba24b4e6e182d2b5fa4d896,cumulative-co2-fuel_v27_850x600.svg,486,506,1116957480,3763126 +4767,carbon-intensity-electricity,map,,5beed343f3b647fd16af19960242d7cf,carbon-intensity-electricity_v45_850x600.svg,22,55,1466226624,191866 +4768,electricity-fossil-renewables-nuclear-line,LineChart,,27a26edab94de5e3adab2d006edfa04e,electricity-fossil-renewables-nuclear-line_v25_850x600.svg,52,58,443951088,649238 +4769,carbon-opportunity-costs-per-kilogram-of-food,DiscreteBar,,d27e0dc63de2e09a06a0cb09c48f0cc9,carbon-opportunity-costs-per-kilogram-of-food_v6_850x600.svg,2,7,340070960,1542 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+4798,regional-pov-rate,LineChart,,33c249aade6ccff01a9c97589ff4d1bf,regional-pov-rate_v11_850x600.svg,1,13,617088352,7588 +4799,the-burden-of-disease-vs-gdp-per-capita,ScatterPlot,,3320bf78ac00f0436c8ad907c6d60dc5,the-burden-of-disease-vs-gdp-per-capita_v33_850x600.svg,667,1062,366885112,2302335 +4800,uk-cumulative-covid-deaths-rate,LineChart,,3bf9865b435072e6ed96ac8330724b23,uk-cumulative-covid-deaths-rate_v815_850x600.svg,289,321,665640488,6033232 +4801,iwc-members,map,,5b5da6cc54729ee8850bc9eb11639127,iwc-members_v9_850x600.svg,4,20,475357048,103952 +4802,iwc-status,map,,452754a82eb092f511a2cbf2f89b3d2f,iwc-status_v2_850x600.svg,1,8,408703408,4637 +4806,share-deforestation-exported,map,,a338f69ce79eb506260f65ef02b74d2e,share-deforestation-exported_v2_850x600.svg,2,9,334672912,42858 +4807,share-deforestation-domestic-consumption,map,,61d152b47cfca40adbeb0931ea6b623d,share-deforestation-domestic-consumption_v2_850x600.svg,3,13,406991368,42206 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+5223,fishing-pressure-by-taxa,LineChart,,9ccbd2e42547526c3663468af1db81b2,fishing-pressure-by-taxa_v9_850x600.svg,2,22,444398160,28103 +5224,fish-catch-region,LineChart,,a4eb2e532083d0f4692a0abe689616af,fish-catch-region_v5_850x600.svg,2,12,242156360,37403 +5225,annual-fish-catch-taxa,LineChart,,1258d2de6e30ff68e223eecf77695f86,annual-fish-catch-taxa_v5_850x600.svg,2,15,239081904,30301 +5226,chlorophyll-a-deviation-from-the-global-average,map,,9377883ecd590ae5a41c89e80acc35d3,chlorophyll-a-deviation-from-the-global-average_v16_850x600.svg,4,12,525210240,107337 +5227,sustainable-fisheries-as-a-proportion-of-gdp,map,,e1336ec0570319122964bb83f181625e,sustainable-fisheries-as-a-proportion-of-gdp_v14_850x600.svg,6,25,98961536,17073 +5228,national-biodiversity-strategy-align-with-aichi-target-9,map,,9e06e27f79aea88889494c62111b46fb,national-biodiversity-strategy-align-with-aichi-target-9_v14_850x600.svg,2,14,232477248,14916 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+5242,electronic-waste-recycling-rate,LineChart,,400ca0fafe9c8c6f0798e7f39828933b,electronic-waste-recycling-rate_v10_850x600.svg,1,8,351420864,12703 +5243,covax-donations-per-gdp,StackedDiscreteBar,,b2118f5465882eee724690fa8098db0d,covax-donations-per-gdp_v75_850x600.svg,2,11,113353064,2576 +5244,manufacturing-share-of-total-employment,map,,3543bd5bcf917282d3d01114496cb478,manufacturing-share-of-total-employment_v16_850x600.svg,5,20,359304992,78689 +5245,deaths-and-missing-persons-due-to-natural-disasters,map,,0bd9a194767ea2b736231908574440f2,deaths-and-missing-persons-due-to-natural-disasters_v16_850x600.svg,3,15,518978480,49233 +5248,prevalence-of-hepatitis-b-surface-antigen,map,,778cff24732cb10303ed813ce49bcf14,prevalence-of-hepatitis-b-surface-antigen_v15_850x600.svg,4,10,248522304,9014 +5249,death-rate-household-and-ambient-air-pollution,map,,6795f4b8f12ca86cb4aeb36794d7c1a9,death-rate-household-and-ambient-air-pollution_v15_850x600.svg,4,12,117213168,5308 +5250,death-rate-household-air-pollution,map,,053bf68b8f62d3fb285c658698c80e0e,death-rate-household-air-pollution_v11_850x600.svg,2,13,231913664,5142 +5251,death-rate-ambient-air-pollution,map,,efa92cfd4d12b32b3cd62929ae65b5ec,death-rate-ambient-air-pollution_v13_850x600.svg,5,19,1693187040,5241 +5252,deaths-attributed-to-household-air-pollution-vs-deaths-attributed-to-ambient-air-pollution,ScatterPlot,,fe110e315e27135c8cb162cebd21fdb7,deaths-attributed-to-household-air-pollution-vs-deaths-attributed-to-ambient-air-pollution_v21_850x600.svg,700,1135,198668408,1864249 +5253,death-rate-road-traffic-injuries,map,,06a89ab539891f9b7f794da8f0458ea5,death-rate-road-traffic-injuries_v15_850x600.svg,4,16,155333416,26545 +5258,annual-co2-other-industry,map,,ebf28885fe23ba48f868d6b7e01bcd77,annual-co2-other-industry_v35_850x600.svg,3,13,246200808,81739 +5260,share-of-global-annual-co-emissions-from-other-industry,map,,c842fb3c5cba1c71261ffbd35913c6a0,share-of-global-annual-co-emissions-from-other-industry_v15_850x600.svg,4,14,357927688,85868 +5261,cumulative-co-emissions-from-other-industry,map,,70067de5a1757867113854a073356f03,cumulative-co-emissions-from-other-industry_v15_850x600.svg,3,9,227634344,84510 +5262,share-of-global-cumulative-co-emissions-from-other-industry,map,,897f89f6d0ebf228ee3741075055b1fe,share-of-global-cumulative-co-emissions-from-other-industry_v16_850x600.svg,4,13,119782920,86665 +5263,change-in-total-mangrove-area,map,,b7b2b1e819a978669d52e908b63d6d33,change-in-total-mangrove-area_v13_850x600.svg,6,23,1690935856,36485 +5264,share-of-land-covered-by-lakes-and-rivers,map,,a026e25cf8cb60747efd1cf6ee451b95,share-of-land-covered-by-lakes-and-rivers_v13_850x600.svg,8,20,251367448,148442 +5265,coverage-of-wetlands,map,,31460f1888db8ea017d742f956ea0a5c,coverage-of-wetlands_v10_850x600.svg,3,13,354297816,7078 +5266,treatment-of-hazardous-waste,LineChart,,b0205589269d50cc4757f9459ea02d59,treatment-of-hazardous-waste_v12_850x600.svg,8,26,236319072,74140 +5267,hazardous-waste-generated-per-capita,map,,d39902be536196437d9d4d2dd3b8aa79,hazardous-waste-generated-per-capita_v15_850x600.svg,3,18,155071656,28380 +5268,ratification-and-accession-to-unclos,map,,15e62e3287d8aee23fc775df8a1b9573,ratification-and-accession-to-unclos_v21_850x600.svg,2,13,116058328,1725 +5269,implementation-of-unclos,map,,a5d90cdb6c6cfc4e7b978683e6c13346,implementation-of-unclos_v9_850x600.svg,3,19,1684930112,1628 +5271,ghg-emissions-seafood,DiscreteBar,,403b90fe7c9c6e36f7d5630e110ed266,ghg-emissions-seafood_v14_850x600.svg,1,10,363327816,986 +5272,land-use-seafood,DiscreteBar,,1a4bb53791a469f84e6ea8d589c5fbb5,land-use-seafood_v11_850x600.svg,2,6,231585496,538 +5273,nitrogen-emissions-seafood,DiscreteBar,,d1194dad13a9a258b780ee43292620dc,nitrogen-emissions-seafood_v11_850x600.svg,1,14,238531944,553 +5274,phosphorous-emissions-seafood,DiscreteBar,,02d1718143f3d379c8546ad34b51a4d4,phosphorous-emissions-seafood_v12_850x600.svg,1,8,104419536,558 +5275,freshwater-use-seafood,DiscreteBar,,0f3c4b35ff5b6910fc402aeeda297e40,freshwater-use-seafood_v7_850x600.svg,1,7,161990720,535 +5276,population-subjected-to-physical-violence,ScatterPlot,,394eb3804bcdbceb261c55a5fbdd9269,population-subjected-to-physical-violence_v29_850x600.svg,602,964,349808208,1857978 +5277,population-subjected-to-sexual-violence-male-vs-female,ScatterPlot,,fd568c9986d51fdeb739e51df3cb6ddc,population-subjected-to-sexual-violence-male-vs-female_v31_850x600.svg,557,963,137655696,1856842 +5290,share-of-children-who-experienced-violence,map,,1a0b5a49e1f3183da1c3c475991c85fd,share-of-children-who-experienced-violence_v12_850x600.svg,2,10,155860888,2238 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+5298,net-zero-targets,map,,df0b761e822646d76ecdd56177f7efcc,net-zero-targets_v24_850x600.svg,4,17,153551272,8741 +5300,countries-with-national-adaptation-plans-for-climate-change,LineChart,,839d153f23ea56916f1b5aa9a3e6f850,countries-with-national-adaptation-plans-for-climate-change_v9_850x600.svg,1,5,239264416,115 +5301,share-of-the-population-reporting-having-felt-discriminated-against,map,,ce8152e219deb64eff053f0458f0e2c0,share-of-the-population-reporting-having-felt-discriminated-against_v11_850x600.svg,1,6,253886280,2517 +5302,representation-of-women-in-lower-chamber-of-parliament,map,,274110b4b2d0f7b523a0f28b54450b2b,representation-of-women-in-lower-chamber-of-parliament_v15_850x600.svg,3,14,922308800,16661 +5303,representation-of-women-in-the-upper-chamber-of-parliament,map,,eb34353a9da3d4ed3b633f8a72c7857e,representation-of-women-in-the-upper-chamber-of-parliament_v15_850x600.svg,4,18,1691099592,7802 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+5425,lead-blood-usa-children,LineChart,,8b381768710ca1cd1ee83a58a8ed0577,lead-blood-usa-children_v5_850x600.svg,1,10,223370560,794 +5426,co2-emissions-and-gdp,LineChart,,2ac29fe4ab76b6e1b37e789eaceb6fc5,co2-emissions-and-gdp_v23_850x600.svg,220,258,263073888,1350604 +5427,decadal-deaths-disasters-type,StackedBar,,5bf4a6b3f4bbe426be7eb944ae89a725,decadal-deaths-disasters-type_v10_850x600.svg,83,95,171793568,874392 +5428,decadal-economic-disasters-type,StackedBar,,964e171ff5793eb0603ed5cfcbf8d0c4,decadal-economic-disasters-type_v11_850x600.svg,72,85,365089152,879230 +5429,children-lead-5micrograms,DiscreteBar,,22be10c5a4414d638d2cfcab71f5a659,children-lead-5micrograms_v8_850x600.svg,2,13,209391360,1159 +5430,children-lead-10micrograms,map,,c477d472d4b7792ef215b12ceef208fd,children-lead-10micrograms_v4_850x600.svg,1,8,398804488,1150 +5431,lead-concentrations-blood-children,map,,0042bbf2f48fd969059dae7bf40b389e,lead-concentrations-blood-children_v3_850x600.svg,2,9,223464968,1017 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+5443,rate-disease-burden-lead,map,,deee451b64bf88bc07dbf230c7d1c535,rate-disease-burden-lead_v14_850x600.svg,12,31,180693520,236825 +5445,primary-energy-share-nuclear-renewables,LineChart,,cb10910a323fc039eed463757d8fe1a1,primary-energy-share-nuclear-renewables_v14_850x600.svg,26,34,401393488,306757 +5446,share-of-clinical-trials-that-report-results-in-time-by-country,map,,5d492c7a85ec530a1d75d53edd5e6eab,share-of-clinical-trials-that-report-results-in-time-by-country_v16_850x600.svg,1,9,371813128,326 +5447,share-of-clinical-trials-that-report-results-within-a-year-over-time,LineChart,,5e84fd20ebc7fa29e95a2f29fe9a13e7,share-of-clinical-trials-that-report-results-within-a-year-over-time_v16_850x600.svg,1,9,221641296,185 +5448,total-number-of-rcts-published-in-high-ranked-medical-journals,map,,6db95517342331415325e25ac3788ca0,total-number-of-rcts-published-in-high-ranked-medical-journals_v17_850x600.svg,2,8,221906280,4112 +5451,people-living-in-democracies-autocracies,StackedArea,,0528470a4d6dcc67c80e2cbae6d26fa8,people-living-in-democracies-autocracies_v56_850x600.svg,21,34,330522320,252290 +5455,per-capita-co2-region,Marimekko,,7ac4ec7f2234b401429b376aa6b2b1a3,per-capita-co2-region_v24_850x600.svg,356,430,241336376,4573951 +5456,excess-deaths-daily-economist,LineChart,,7c219a47b1c25c6f7560d80c997aab24,excess-deaths-daily-economist_v89_850x600.svg,529,573,479245512,5538275 +5457,excess-deaths-cumulative-economist,LineChart,,54207feb5ae2c5c016c0e2a7c86e3e8d,excess-deaths-cumulative-economist_v144_850x600.svg,518,562,456604168,5440113 +5458,excess-deaths-cumulative-per-100k-economist,map,,032f5d19f862769c7f96fe690517748b,excess-deaths-cumulative-per-100k-economist_v153_850x600.svg,616,798,1935747024,5443455 +5459,covid-booster-vaccinated-by-age,LineChart,,5bebd29f2c2bc28c2483d5511ca95345,covid-booster-vaccinated-by-age_v914_850x600.svg,177,192,260862736,1613079 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+5476,yearly-number-of-objects-launched-into-outer-space,LineChart,,2b40ea51d5bad6ff53e3d8372e10b60b,yearly-number-of-objects-launched-into-outer-space_v43_850x600.svg,2,15,242408240,30519 +5478,distribution-of-population-across-income-thresholds-stacked-bar-30-only,StackedDiscreteBar,,77e9ca54c2d81a5de75ddb514b898c47,distribution-of-population-across-income-thresholds-stacked-bar-30-only_v43_850x600.svg,11,23,237536640,174113 +5480,oil-proved-reserves,map,,1f67698e424ae2132c4ba888239273b5,oil-proved-reserves_v17_850x600.svg,4,16,246148552,99878 +5482,number-of-biosafety-level-4-facilities-by-country,map,,941cef82ea4e825daabc8d3ee172364e,number-of-biosafety-level-4-facilities-by-country_v16_850x600.svg,1,7,259623960,660 +5483,near-earth-asteroids-discovered-over-time,StackedArea,,39de7f710f398b5529ac158be04b0322,near-earth-asteroids-discovered-over-time_v31_850x600.svg,3,12,467510880,3017 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+6768,legislation-on-sexual-harassment-in-employment,map,,156252b65d195b02b7be9d4a467803db,legislation-on-sexual-harassment-in-employment_v79_850x600.svg,18,31,420289384,260445 +6769,legislation-domestic-violence,map,,9cfbb8f1d274c4367eb597ff054e4bd0,legislation-domestic-violence_v85_850x600.svg,14,31,228345624,260445 +6772,incidence-of-diarrheal-episodes-vs-access-to-improved-sanitation,ScatterPlot,,17aa215d0ccc49ca9cf4ccc618356b20,incidence-of-diarrheal-episodes-vs-access-to-improved-sanitation_v21_850x600.svg,766,1551,173368664,2847771 +6776,homicide-rate-where-the-perpetrator-is-an-intimate-partner,LineChart,,4561ec3b8af332eb4be8728c53ff9296,homicide-rate-where-the-perpetrator-is-an-intimate-partner_v14_850x600.svg,10,16,334738520,39707 +6784,number-of-tanker-spills-by-primary-cause-of-spill-1970-2022,StackedDiscreteBar,,ea702348423609742d25ecf8f51e714d,number-of-tanker-spills-by-primary-cause-of-spill-1970-2022_v7_850x600.svg,1,10,252011184,827 +6785,number-of-tanker-spills-by-operation-at-time-of-incident-1970-2022,StackedDiscreteBar,,c9f68953a9dec5a5be5e0d0120fa5318,number-of-tanker-spills-by-operation-at-time-of-incident-1970-2022_v8_850x600.svg,2,9,183620544,760 +6789,international-tourist-arrivals-by-region-of-origin,LineChart,,417ffc6ab470326763b285d8896b49ec,international-tourist-arrivals-by-region-of-origin_v12_850x600.svg,1,8,261582024,6413 +6791,international-same-day-arrivals,map,,cb2ff53ec9a6504e5f8ecd836d3c5011,international-same-day-arrivals_v25_850x600.svg,3,12,339845544,87330 +6801,domestic-trips-by-tourists-per-1000-people,map,,03e88264e54907d945beece9fcb876d5,domestic-trips-by-tourists-per-1000-people_v10_850x600.svg,2,8,231882168,28705 +6802,international-arrivals-for-personal-vs-business-and-professional-reasons,ScatterPlot,,e1d154eb66a085ee0ce2c727c1252c1c,international-arrivals-for-personal-vs-business-and-professional-reasons_v17_850x600.svg,34,61,421498776,246118 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+6809,monthly-co2-emissions-from-international-aviation,StackedArea,,de35f5a8286f35627fbbb190870a717b,monthly-co2-emissions-from-international-aviation_v27_850x600.svg,115,143,253885936,736782 +6810,per-capita-co-emissions-from-international-flights-tourism-adjusted,map,,9e70e1c8bff5ae1fbec183a0c4f8311e,per-capita-co-emissions-from-international-flights-tourism-adjusted_v36_850x600.svg,4,12,452935704,18819 +6814,per-capita-co2-emissions-from-domestic-aviation,map,,135931079b319e7f2981a40929fc1fad,per-capita-co2-emissions-from-domestic-aviation_v24_850x600.svg,3,14,258544104,35772 +6815,domestic-guests-in-tourism-accommodation-hotels-and-similar-establishments-vs-foreign-guests-in-tourism-accommodation-hotels-and-similar-establishments,ScatterPlot,,8d70d79452a8f37c44d0835962254694,domestic-guests-in-tourism-accommodation-hotels-and-similar-establishments-vs-foreign-guests-in-tourism-accommodation-hotels-and-similar-establishments_v22_850x600.svg,22,54,228304624,157041 +6816,monthly-co2-emissions-from-international-and-domestic-flights,StackedArea,,4e847d40143ae741c4fa8028e0dd41be,monthly-co2-emissions-from-international-and-domestic-flights_v27_850x600.svg,66,79,432702600,509778 +6817,child-homicide-rate,map,,c169c80692a018e636d233c6c02c1bfb,child-homicide-rate_v8_850x600.svg,9,29,189040904,156510 +6818,homicide-rate-by-age-of-the-victim,LineChart,,e626422251e73d7d92cd8db6841fcdd2,homicide-rate-by-age-of-the-victim_v9_850x600.svg,54,69,346541880,924303 +6820,burden-disease-from-each-mental-illness,LineChart,,387e8e1763e023471a3951234affdffe,burden-disease-from-each-mental-illness_v56_850x600.svg,94,101,463051416,1185541 +6821,mental-illness-estimated-cases,LineChart,,e5e6dde06dc37809488affdf2313d23c,mental-illness-estimated-cases_v56_850x600.svg,99,104,271998120,1226477 +6823,deaths-averted-due-to-rotavirus-vaccine,map,,be93bad64a29b9517f7e4b0e8ecdf5aa,deaths-averted-due-to-rotavirus-vaccine_v8_850x600.svg,2,8,204503184,5830 +6825,international-tourist-trips-per-1000-people,map,,00e48f18aac591e33f6520ffb37f16f8,international-tourist-trips-per-1000-people_v9_850x600.svg,8,24,229011240,164096 +6826,international-tourist-departures,map,,e5084acca979b6b82d9d8cd8762326f8,international-tourist-departures_v12_850x600.svg,4,17,365766416,69178 +6827,international-same-day-visitors-per-1000-people,map,,bbb0f985ebb53d8db5c286a3eb1518ad,international-same-day-visitors-per-1000-people_v18_850x600.svg,13,19,206318064,94847 +6828,foreign-guests-in-hotels-and-similar-establishments,map,,8f619d86212662d9b85dfc458655e8e7,foreign-guests-in-hotels-and-similar-establishments_v5_850x600.svg,4,10,441183904,88949 +6829,local-guests-in-hotels-and-similar-establishments,map,,7fd4bbc3c79df787483825e5feb9dbdb,local-guests-in-hotels-and-similar-establishments_v5_850x600.svg,4,11,348142848,58407 +6830,average-expenditures-of-tourists-abroad,map,,b43b2130fac5994de2e127f8f0fec221,average-expenditures-of-tourists-abroad_v40_850x600.svg,2,15,227244920,46949 +6831,average-expenditures-of-international-tourists-domestically,map,,89fc8a01b7cd5752f5982e720b2ef436,average-expenditures-of-international-tourists-domestically_v26_850x600.svg,2,17,364837192,43813 +6832,international-trips-for-personal-reasons,map,,e6dcd33db9a92ad3943b9902dd24ef18,international-trips-for-personal-reasons_v10_850x600.svg,10,17,208170072,121224 +6833,international-trips-for-business-and-professional-reasons,map,,8a45d8798a187c4c9592666bc42be988,international-trips-for-business-and-professional-reasons_v13_850x600.svg,5,19,445476352,115209 +6834,number-of-reported-cholera-deaths,LineChart,,6b2b965e624f35ed5feebfe2620010d4,number-of-reported-cholera-deaths_v17_850x600.svg,5,19,258625360,75175 +6836,women-political-empowerment-index-vs-electoral-democracy-index,ScatterPlot,,1c779edbf76c389a070a4eaf1bc76b1e,women-political-empowerment-index-vs-electoral-democracy-index_v45_850x600.svg,1009,1660,650390456,3668587 +6837,homicide-rate-across-sources,LineChart,,c914830ea224a6cfe65a824796e3cae1,homicide-rate-across-sources_v60_850x600.svg,72,88,288550480,765822 +6846,incidence-of-typhoid-and-paratyphoid-fever-age-groups,LineChart,,aedd3b2dc746e45986a8b1d101a75118,incidence-of-typhoid-and-paratyphoid-fever-age-groups_v20_850x600.svg,84,96,368145408,1236154 +6847,incidence-of-invasive-non-typhoidal-salmonella-age-groups,LineChart,,f4933ddb88b957e0d0a7f8ed93d9cd7a,incidence-of-invasive-non-typhoidal-salmonella-age-groups_v12_850x600.svg,95,104,301355264,1238706 +6850,death-rate-typhoid-paratyphoid-fever-age-groups,LineChart,,81379298451128b83fd47bbfb5ea2dd0,death-rate-typhoid-paratyphoid-fever-age-groups_v20_850x600.svg,132,139,250379504,1689266 +6851,death-rate-invasive-non-typhoidal-salmonella-children-under-5,map,,d0fa654eea1e23ef13b72c71f102655a,death-rate-invasive-non-typhoidal-salmonella-children-under-5_v15_850x600.svg,19,40,369694840,334961 +6852,death-rate-typhoid-paratyphoid-fever-children-under-5,map,,e243e78c5c2913f4ecf1e8c343f1a633,death-rate-typhoid-paratyphoid-fever-children-under-5_v23_850x600.svg,15,36,267198712,336057 +6854,death-rate-invasive-non-typhoidal-salmonella-across-age-groups,LineChart,,dbb7e6f46552a5e32590152f5cf4be6b,death-rate-invasive-non-typhoidal-salmonella-across-age-groups_v19_850x600.svg,119,130,219540752,1682139 +6858,deaths-substance-disorders-age-who,StackedArea,,32a67f76dd601c4b15d6727eaaf0b3f6,deaths-substance-disorders-age-who_v26_850x600.svg,83,93,450235616,629617 +6859,deaths-from-substance-disorders-who,map,,5ff8b70630e42c0672411d81c497e1b7,deaths-from-substance-disorders-who_v27_850x600.svg,7,25,377325376,136197 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+6920,participation-rate-in-formal-and-non-formal-education-and-training,map,,ed95481efb08fb78949e9cba9cbb2ad6,participation-rate-in-formal-and-non-formal-education-and-training_v10_850x600.svg,3,20,525980304,40107 +6921,gini-coefficient-world-bank-marimekko,Marimekko,,e1da9efe33f5b12d5131a7ae2807a173,gini-coefficient-world-bank-marimekko_v37_850x600.svg,10,149,524305152,89506 +6924,urban-population-vs-female-labor-force-participation-rate,ScatterPlot,,04c64a4cbe0530f43160ee182601c4e7,urban-population-vs-female-labor-force-participation-rate_v7_850x600.svg,768,1147,396022296,2492985 +6925,annual-professional-service-robots-installed-by-area,DiscreteBar,,908d5d72e90237bf257bef5449ac838e,annual-professional-service-robots-installed-by-area_v13_850x600.svg,3,15,533269720,580 +6927,annual-reported-ai-incidents-controversies,StackedBar,,7a781a6a228b26d9ba90de3d9b9df738,annual-reported-ai-incidents-controversies_v13_850x600.svg,1,7,120556480,380 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+6942,perceived-justifiability-of-terrorism-as-a-political-ideological-or-religious-means,map,,2102a4db09357e80987cbc761d3123e5,perceived-justifiability-of-terrorism-as-a-political-ideological-or-religious-means_v9_850x600.svg,1,7,383551176,2107 +6943,market-share-logic-chip-production-manufacturing-stage,DiscreteBar,,acce867813f0ce674e585b260b765b78,market-share-logic-chip-production-manufacturing-stage_v18_850x600.svg,2,11,430775784,697 +6945,ai-training-computation-vs-parameters-by-domain,ScatterPlot,,30651c8cc32af8b0f55f97c8a6d5e3e3,ai-training-computation-vs-parameters-by-domain_v19_850x600.svg,1357,2911,439588048,84556 +6947,ai-training-computation-vs-parameters-by-researcher-affiliation,ScatterPlot,,b029211d331cbb11fb7b18fe279ad940,ai-training-computation-vs-parameters-by-researcher-affiliation_v25_850x600.svg,529,1221,221780680,74716 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+7052,distribution-of-terrorist-attacks,Marimekko,,61e37409637a012889c5a619c623b3a5,distribution-of-terrorist-attacks_v37_850x600.svg,43,75,276762384,283566 +7053,total-deaths-comparison,LineChart,,067a4c84856ad00ae60e3a535123a949,total-deaths-comparison_v23_850x600.svg,196,228,351946544,1176752 +7054,cardiovascular-disease-death-rate-age-group-who-mdb,LineChart,,2fdbee56faf96db738e60885face663b,cardiovascular-disease-death-rate-age-group-who-mdb_v26_850x600.svg,187,201,320394752,2938884 +7055,cancer-death-rate-by-age-group,LineChart,,f2b7b99aff80f73d8a4f3a9ffd1f3f48,cancer-death-rate-by-age-group_v9_850x600.svg,171,193,330167472,2936906 +7056,respiratory-infections-death-rate-age-group,LineChart,,74205688909989d1a790446567c4ab28,respiratory-infections-death-rate-age-group_v9_850x600.svg,181,192,276317704,2842864 +7058,confidence-in-un-wvs,map,,90c7b48793dd0255e49ca0e30668e6d9,confidence-in-un-wvs_v13_850x600.svg,2,9,526677256,11271 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+7068,cardiovascular-disease-death-rate-who-mdb,LineChart,,e69b89ab7588ffe3b6662453de4f7a37,cardiovascular-disease-death-rate-who-mdb_v22_850x600.svg,6,21,523774384,157970 +7069,infectious-and-parasitic-diseases-death-rate-who-mdb,LineChart,,f54ac31009e25322f0a0ddfbfe564769,infectious-and-parasitic-diseases-death-rate-who-mdb_v14_850x600.svg,9,27,358368976,157549 +7070,respiratory-infection-death-rate-who-mdb,LineChart,,93ca0e7a594fe0ec7296a64403f1bf3d,respiratory-infection-death-rate-who-mdb_v10_850x600.svg,16,26,224877944,153269 +7071,unintentional-injuries-death-rate-by-age-group-who-mdb,LineChart,,e9c706c79bf34f9b97a12cb062a2308f,unintentional-injuries-death-rate-by-age-group-who-mdb_v9_850x600.svg,197,214,183231184,2895329 +7072,yields-of-important-staple-crops,LineChart,,a427f7a2b85d390c6f3b4b1244b6a20a,yields-of-important-staple-crops_v8_850x600.svg,200,228,262175912,2481491 +7073,imports-of-ppe-related-products,LineChart,,1a5bd4e18492c5f909626ea552e9eb81,imports-of-ppe-related-products_v18_850x600.svg,77,84,543912880,903211 +7075,pain-broiler-chickens,LineChart,,d988b620e93f801d904fca2b3cfbe915,pain-broiler-chickens_v10_850x600.svg,1,16,500519600,465 +7079,farmed-fish-killed,LineChart,,4e47bdd487deed7229d17bbf7d5ce335,farmed-fish-killed_v13_850x600.svg,10,25,361230480,56962 +7080,farmed-crustaceans,LineChart,,866838fe962e46e0a9b2ac5e73128545,farmed-crustaceans_v15_850x600.svg,4,16,223742312,23075 +7081,h5n1-flu-reported-cases,StackedBar,,459890854b0dda0aadc5cbdd961ac02f,h5n1-flu-reported-cases_v22_850x600.svg,26,104,527441424,259514 +7082,wild-caught-fish,DiscreteBar,,0c84f4b5f3d13a15610600c9d6dd7e1c,wild-caught-fish_v9_850x600.svg,4,21,339529216,25404 +7083,scholarly-publications-on-artificial-intelligence-per-million-people,map,,ce2e36c02dcb727bb113c159ff98ac3b,scholarly-publications-on-artificial-intelligence-per-million-people_v17_850x600.svg,4,20,218353768,61138 +7084,artificial-intelligence-patents-submitted-per-million,map,,5969a8647c9469079aa59da5ac2aa37c,artificial-intelligence-patents-submitted-per-million_v13_850x600.svg,2,10,366576968,16073 +7086,historical-death-rates-from-each-cause-category-in-france,LineChart,,26d6f66ea44f660ca0b090916df2f1f6,historical-death-rates-from-each-cause-category-in-france_v15_850x600.svg,4,20,329579448,25910 +7087,share-of-the-population-victim-to-physical-and-sexual-harassment,LineChart,,2450a228a0a34eb68923128b32c82a92,share-of-the-population-victim-to-physical-and-sexual-harassment_v4_850x600.svg,2,9,272511384,508 +7089,hepatitis-b-number-of-deaths,StackedArea,,04092fd4819827b2bd1f741f9fd779b0,hepatitis-b-number-of-deaths_v11_850x600.svg,28,40,358713088,320288 +7090,hepatitis-c-number-of-deaths,map,,1e72bf065c9a73f76d4c7ed8197bee7b,hepatitis-c-number-of-deaths_v8_850x600.svg,14,29,351241760,320015 +7093,hepatitis-c-deaths-by-type-of-disease,StackedArea,,aad46655b0677efd0cf285e08e8e71fd,hepatitis-c-deaths-by-type-of-disease_v6_850x600.svg,131,143,301031480,968810 +7094,hepatitis-b-deaths-by-type-of-disease,StackedArea,,8f6734e7020e2b438d054642273eb33f,hepatitis-b-deaths-by-type-of-disease_v7_850x600.svg,99,105,351492144,964775 +7095,hepatitis-b-total-number-of-deaths-by-age-group,StackedArea,,861a9a4fdb2eb859f53eb1bf5a9a74d3,hepatitis-b-total-number-of-deaths-by-age-group_v4_850x600.svg,179,194,262596856,1618723 +7096,hepatitis-c-total-number-of-deaths-by-age-group,StackedArea,,c9085c6f22d1f8a86b6f604b5676c9ec,hepatitis-c-total-number-of-deaths-by-age-group_v7_850x600.svg,186,199,586636232,1627909 +7098,survey-dietary-choices-sentience,StackedDiscreteBar,,4fc8ac4885f14c089adf4cb1b65522a7,survey-dietary-choices-sentience_v6_850x600.svg,7,15,368918888,3599 +7099,survey-animal-pain-sentience,StackedDiscreteBar,,e47de77294f1a7eea34e0f71478f532a,survey-animal-pain-sentience_v8_850x600.svg,2,8,340798032,3599 +7100,attitudes-bans-factory-farming,StackedDiscreteBar,,789fb784b2d783a34eed0d7b366c8499,attitudes-bans-factory-farming_v3_850x600.svg,2,16,339063856,3599 +7101,nuclear-warhead-stockpiles-lines,LineChart,,a5bf6962d18927fd7b2961a36db7b442,nuclear-warhead-stockpiles-lines_v62_850x600.svg,4,14,370972808,23389 +7104,imports-of-ppe-related-products-per-capita,map,,29b1cedce5004800918ebc3bf6f892c8,imports-of-ppe-related-products-per-capita_v11_850x600.svg,7,30,529262192,162064 +7106,estimated-destroyable-area-by-nuclear-weapons-deliverable-in-first-strike,LineChart,,1a1c4240f1ece8a246677786881b786f,estimated-destroyable-area-by-nuclear-weapons-deliverable-in-first-strike_v36_850x600.svg,2,21,343049616,10912 +7108,cropland-area,map,,8c69a64f279f2fbae150928964d2a758,cropland-area_v2_850x600.svg,17,40,374486480,489322 +7111,land-area-hectares,DiscreteBar,,6d3808fabcfe1e03c4d461893cec1b59,land-area-hectares_v21_850x600.svg,21,26,343487720,387737 +7113,share-co2-vs-population,DiscreteBar,,2262f38971e237b2414c2ca8cffaae35,share-co2-vs-population_v9_850x600.svg,315,335,394591496,2740419 +7114,co2-consumption-share,map,,6cb993fbdba58ec435dc619935704a00,co2-consumption-share_v6_850x600.svg,7,24,535727552,151736 +7115,share-of-global-consumption-based-co-emissions-and-population,DiscreteBar,,5e2040ee42ee48e465b0850d1e79d621,share-of-global-consumption-based-co-emissions-and-population_v9_850x600.svg,268,288,326187464,1927377 +7117,child-mortality-under-five-death-rate-by-wealth-group,LineChart,,5dae43b600c105e0ebefeb952058e241,child-mortality-under-five-death-rate-by-wealth-group_v15_850x600.svg,20,27,217968024,328543 +7118,banning-of-chick-culling,map,,14a733e7f5189f0c0f81e87e3e302451,banning-of-chick-culling_v6_850x600.svg,2,6,339180216,1257 +7120,share-of-mothers-who-have-lost-an-infant,map,,3977002a964cb48c077f9c5aaebc1d1e,share-of-mothers-who-have-lost-an-infant_v9_850x600.svg,2,14,189995888,4894 +7123,bullfighting-ban,map,,627f8484476de00b722f1ca590f94ddd,bullfighting-ban_v4_850x600.svg,2,7,265990312,1031 +7124,share-of-agricultural-land-being-productively-and-sustainably-used,map,,b2d76719d6abfcc995245e17358c6e30,share-of-agricultural-land-being-productively-and-sustainably-used_v6_850x600.svg,1,7,526418344,109 +7125,total-outward-financial-flows-from-drug-trafficking,LineChart,,f45f5a7d165bb1bb0a530db2e0ee5226,total-outward-financial-flows-from-drug-trafficking_v8_850x600.svg,3,10,381789960,492 +7126,total-inward-financial-flows-from-drug-trafficking,LineChart,,a506e8fd14180ad97db01954e9108128,total-inward-financial-flows-from-drug-trafficking_v8_850x600.svg,3,11,224841344,261 +7127,political-regime-classification-by-source,LineChart,,769292557bc0d2160250bcd45d383b46,political-regime-classification-by-source_v81_850x600.svg,510,542,414526024,3123002 +7130,democracy-index-by-source,LineChart,,1fd4544d5df74a7af7dc97e5e96ad278,democracy-index-by-source_v76_850x600.svg,309,334,297979088,1651928 +7131,inequality-adjusted-human-development-index,map,,39ba946910e83a7c3c693257795bc8a7,inequality-adjusted-human-development-index_v36_850x600.svg,4,25,191642752,62381 +7132,gender-development-index,map,,043779e75f26e643fe81668ec3b81bc6,gender-development-index_v44_850x600.svg,10,26,378033232,148138 +7133,inequality-adjusted-hdi-vs-human-development-index,ScatterPlot,,c4054505ea2c7105687be0448c83943d,inequality-adjusted-hdi-vs-human-development-index_v10_850x600.svg,883,1317,401104616,2727587 +7134,gender-development-index-vs-human-development-index,ScatterPlot,,4adff39a4499e768e194123af364f731,gender-development-index-vs-human-development-index_v11_850x600.svg,992,1425,266645688,2813344 +7135,gender-development-index-vs-gdp-per-capita,ScatterPlot,,0fcc43deead1e5b3fd18986ee7fe380d,gender-development-index-vs-gdp-per-capita_v12_850x600.svg,910,1425,184700928,2849395 +7136,inequality-adjusted-human-development-index-vs-gdp-per-capita,ScatterPlot,,f8d8aa55f1610dba6df0d5214134d811,inequality-adjusted-human-development-index-vs-gdp-per-capita_v23_850x600.svg,1007,1461,245261824,2763638 +7137,countries-that-are-democratizing-and-autocratizing-within-regimes,StackedArea,,14d76366cec849e5f3ace4cd2539cd8c,countries-that-are-democratizing-and-autocratizing-within-regimes_v86_850x600.svg,21,35,187334360,136723 +7138,political-regime-ert-within-regimes,map,,802383c39d41cb772c13b6ee0070f876,political-regime-ert-within-regimes_v34_850x600.svg,41,116,376829240,496032 +7139,people-living-in-democratizing-autocratizing-democracies-autocracies-ert,StackedArea,,514aa719f4ff9576c917def709bb89aa,people-living-in-democratizing-autocratizing-democracies-autocracies-ert_v81_850x600.svg,20,32,194566752,184397 +7140,rigorous-and-impartial-public-administration-index,map,,c8e6f4e81702a875e0df15d86ef4d59e,rigorous-and-impartial-public-administration-index_v15_850x600.svg,88,183,213133160,1015864 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+7168,probability-of-dying-that-year-among-females-of-a-given-age,LineChart,,6ee8ed3e93aa89de1dcf76cd0ea24d9f,probability-of-dying-that-year-among-females-of-a-given-age_v13_850x600.svg,519,540,412077352,4598125 +7169,probability-of-dying-that-year-among-males-of-a-given-age,LineChart,,d99faf039cd514805fa41fb5ee9fdea7,probability-of-dying-that-year-among-males-of-a-given-age_v17_850x600.svg,518,532,186720616,4599715 +7170,remaining-life-expectancy-at-different-ages-females,LineChart,,db2451aa4c939a0b21cc23ebff2b190a,remaining-life-expectancy-at-different-ages-females_v17_850x600.svg,592,606,179056608,4361540 +7171,remaining-life-expectancy-at-different-ages-males,LineChart,,f130887205a171eaad2aef1981ae4147,remaining-life-expectancy-at-different-ages-males_v20_850x600.svg,489,499,347397016,4360326 +7173,learning-adjusted-years-of-schooling-marimekko,Marimekko,,c2fb039f6b75684a999ca6fbf519fb02,learning-adjusted-years-of-schooling-marimekko_v7_850x600.svg,146,278,407525672,1005309 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+7210,human-development-index-groups,map,,47d702301cc9409ebac96eb1ce59d0d0,human-development-index-groups_v14_850x600.svg,12,28,198979344,182623 +7211,major-causes-of-child-deaths,LineChart,,d7d1df2316aaef515253c366b8b2f115,major-causes-of-child-deaths_v6_850x600.svg,381,396,167051080,3496351 +7212,ghg-emissions-plastic-stage,StackedBar,,454e2fedb6560fbbd4ceff0f6dcb8cdd,ghg-emissions-plastic-stage_v4_850x600.svg,2,7,241346688,622 +7214,share-plastic-fate,LineChart,,9a7f871aac89db1f2be74bc3e556cb8e,share-plastic-fate_v12_850x600.svg,3,16,348434360,27381 +7216,life-expectancy-marimekko,Marimekko,,2da9f6f81c635f13f6861a53198b2611,life-expectancy-marimekko_v31_850x600.svg,399,878,394383696,2502618 +7217,reduction-in-hdi-when-adjusting-for-inequalities,map,,cd438999d0bcea42ebf5ac870c19979f,reduction-in-hdi-when-adjusting-for-inequalities_v5_850x600.svg,6,18,248437320,70122 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+7225,gini-coefficient-of-lifespan-inequality-by-sex,LineChart,,1ddbfb49be23df8f7aa06de3c8d7238e,gini-coefficient-of-lifespan-inequality-by-sex_v10_850x600.svg,189,208,370297800,1376040 +7226,share-of-plastic-waste-that-is-mismanaged,SlopeChart,,31ef25e234511841b406e228b2725e37,share-of-plastic-waste-that-is-mismanaged_v17_850x600.svg,2,12,189972096,6878 +7227,survival-ages-across-the-population,LineChart,,94f625bb3adce11cccc4c1196764f370,survival-ages-across-the-population_v13_850x600.svg,109,124,231156648,1330963 +7228,plastic-waste-accumulated-in-oceans,StackedArea,,3b8d9cf15f3bd0d873165d5c1a37e71b,plastic-waste-accumulated-in-oceans_v6_850x600.svg,2,15,263260328,6509 +7229,plastic-waste-accumulated-rivers-lakes,StackedArea,,c03cb32b81ea2ac151b02f1dad976055,plastic-waste-accumulated-rivers-lakes_v7_850x600.svg,1,9,380307320,6628 +7230,projections-plastic-by-disposal-method,StackedArea,,a455ad1e46e11e69d13ccff9a8652895,projections-plastic-by-disposal-method_v8_850x600.svg,6,13,381851144,55781 +7231,plastic-waste-disposal-projections,LineChart,,9a4e1cfb3584f558e7d4dd2693fcba04,plastic-waste-disposal-projections_v12_850x600.svg,5,33,273877864,81917 +7232,european-overseas-colonies-and-their-last-colonizer,map,,6e145d5c7afd18d5e40e05fb4f60265d,european-overseas-colonies-and-their-last-colonizer_v16_850x600.svg,173,206,403932936,3806137 +7233,european-overseas-colonies-by-colonizer,StackedArea,,ba20b0f17f3c0bc2241675b1a59d12a5,european-overseas-colonies-by-colonizer_v18_850x600.svg,15,42,236531768,123945 +7234,number-of-european-overseas-colonies,LineChart,,939bd36c791ea7023eb7fa7d4ccd57ac,number-of-european-overseas-colonies_v20_850x600.svg,14,28,283409416,123945 +7235,european-overseas-colonies-and-their-colonizers,map,,50ee793907c9668031d018099efbbee4,european-overseas-colonies-and-their-colonizers_v27_850x600.svg,183,339,206004256,3832045 +7236,years-colonized,map,,a765b77e6947e3c85225ed50d1e00de6,years-colonized_v15_850x600.svg,390,614,357606040,2322780 +7237,plastic-leakage-to-aquatic-environments,StackedArea,,c5aba37cd12e5aece9362efd334f1a5c,plastic-leakage-to-aquatic-environments_v13_850x600.svg,3,23,231344496,13137 +7240,plastics-great-pacific-garbage-patch,LineChart,,e1024b80801547e5c9302841ae41ff93,plastics-great-pacific-garbage-patch_v2_850x600.svg,3,10,241079376,676 +7245,number-of-countries-by-region,StackedArea,,ae25d8032334772ed4610b9eb5253f7a,number-of-countries-by-region_v19_850x600.svg,9,48,253545176,114152 +7247,number-of-countries,LineChart,,126c877ad90ba1ff1509ae5dd2998d51,number-of-countries_v12_850x600.svg,8,19,248087352,114152 +7249,number-of-european-overseas-colonies-by-region,StackedArea,,8aba5544a79a85e9a4f5281642487795,number-of-european-overseas-colonies-by-region_v32_850x600.svg,19,40,263176992,179129 +7251,global-plastic-production-projections,LineChart,,dbb8ad110c4315310702c959321fa687,global-plastic-production-projections_v5_850x600.svg,3,10,412832992,16651 +7252,share-plastic-waste-imports,map,,03ae110fa544fc1feb404f6aec9355ce,share-plastic-waste-imports_v12_850x600.svg,11,20,418018416,167219 +7253,share-plastic-waste-exports,map,,83b3fecf0e37aa5bf6f46a380f100464,share-plastic-waste-exports_v8_850x600.svg,5,11,256055560,94371 +7254,imports-of-plastic-waste-via-air,map,,02cefe9875ad22a50609f0f5f6bd0ea6,imports-of-plastic-waste-via-air_v13_850x600.svg,2,9,414062008,15028 +7255,exports-of-plastic-waste-via-air,map,,eda54c7d1698f91118c9820f845e610d,exports-of-plastic-waste-via-air_v10_850x600.svg,2,9,271271784,8179 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+7265,annual-death-rates-in-different-age-groups-by-sex,LineChart,,6c9cb83db3bce2a71a1bee64e52dddb3,annual-death-rates-in-different-age-groups-by-sex_v25_850x600.svg,1247,1262,226006152,8980961 +7266,probability-that-a-male-will-outlive-a-female,map,,e46ed95cad843bd476e42c1c32b9fde0,probability-that-a-male-will-outlive-a-female_v12_850x600.svg,58,99,295802296,662584 +7268,thermal-efficiency-factor,LineChart,,89d6f8b398abf1b609c05ca7ab06e2a9,thermal-efficiency-factor_v3_850x600.svg,11,18,383709840,214221 +7269,renewable-nuclear-direct-substitution,LineChart,,3184f24f345806aeb2d898d1c84039c2,renewable-nuclear-direct-substitution_v8_850x600.svg,3,18,237719120,14468 +7270,deaths-in-wars-project-mars,StackedBar,,6d2c682c35caa8c360161fc415eec50d,deaths-in-wars-project-mars_v18_850x600.svg,7,28,390495408,71402 +7272,total-cardiologists-per-million-people,map,,3ddebba71cd940cf40c40d65f8a58528,total-cardiologists-per-million-people_v12_850x600.svg,1,10,235142800,1658 +7273,good-cholesterol-levels-age-standardized,map,,6d34dbb504fbc662f8439ac6fd636244,good-cholesterol-levels-age-standardized_v28_850x600.svg,9,22,298736248,210184 +7274,average-non-hdl-cholesterol-levels,map,,39e8ed96b4594ba4d083534c60dfcc7c,average-non-hdl-cholesterol-levels_v20_850x600.svg,10,25,398561480,211240 +7275,number-of-new-armed-conflicts,StackedBar,,03094aa69688f23acc92f4f6a0310e56,number-of-new-armed-conflicts_v52_850x600.svg,5,20,234784936,47893 +7276,number-of-new-wars,StackedBar,,8eeb8f488cf6ea600a2c6e2594e28c2a,number-of-new-wars_v13_850x600.svg,8,33,239163264,68378 +7282,mens-life-expectancy-at-birth,map,,ab2016db69b42f4e60aba938c5a8eac2,mens-life-expectancy-at-birth_v31_850x600.svg,75,97,303964640,572763 +7283,life-expectancy-hmd-unwpp,map,,721c825077f4ff52e8161060eea0b85f,life-expectancy-hmd-unwpp_v11_850x600.svg,69,120,443704632,625838 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+7293,difference-in-life-expectancy-between-females-and-males-vs-gdp-per-capita,ScatterPlot,,8a7f83a8d0cb8c031c27ef0ba8aab1a8,difference-in-life-expectancy-between-females-and-males-vs-gdp-per-capita_v20_850x600.svg,1443,2168,274041608,3361808 +7294,difference-in-life-expectancy-between-females-and-males-vs-child-mortality,ScatterPlot,,74fd9c5e5009df0bb963de1ebc5101bf,difference-in-life-expectancy-between-females-and-males-vs-child-mortality_v33_850x600.svg,1323,2056,192486432,3983406 +7295,cardiovascular-disease-death-rate-males-vs-females,ScatterPlot,,9eebf04f371e4d95372bdbaec055f579,cardiovascular-disease-death-rate-males-vs-females_v25_850x600.svg,1165,1681,221881344,2798389 +7297,utilization-of-statins,map,,5dedf6792dfbe1be86ed56b8c82a6f17,utilization-of-statins_v16_850x600.svg,1,12,378503264,4064 +7303,magnetic-resonance-imaging-mri-units-availability,map,,0478b94b9910f5e97fe6d3a114cf8d07,magnetic-resonance-imaging-mri-units-availability_v16_850x600.svg,2,8,430259528,8862 +7304,gamma-camera-or-nuclear-medicine-availability,map,,86bbe93ec5546a42638631f450683c85,gamma-camera-or-nuclear-medicine-availability_v11_850x600.svg,2,8,372112016,7680 +7305,availability-of-computed-tomography-ct-imaging,map,,87af4a1e571f7c205602b1df0b3c83f4,availability-of-computed-tomography-ct-imaging_v15_850x600.svg,2,10,424312696,9207 +7306,availability-of-positron-emission-tomography-pet-imaging,map,,4108e0d0c85cf3c3b3aa8f4ca10aeb56,availability-of-positron-emission-tomography-pet-imaging_v13_850x600.svg,2,17,168398328,7402 +7311,share-of-young-women-vs-men-who-are-not-in-education-employment-or-training,ScatterPlot,,ab6949ec202192367476e4ca343c88ca,share-of-young-women-vs-men-who-are-not-in-education-employment-or-training_v13_850x600.svg,958,1433,224350496,2612392 +7312,gdp-maddison-project-database,map,,79031d993f2be4a7596394abbbf1b374,gdp-maddison-project-database_v9_850x600.svg,33,148,431587312,572840 +7313,cardiac-magnetic-resonance-imaging-mri-availability,map,,0fe683983d3ce5a2479f50458bf5c211,cardiac-magnetic-resonance-imaging-mri-availability_v16_850x600.svg,1,11,276546864,975 +7314,pacemaker-implantations-per-million-people,map,,fb183fe1b6c63074f4ca9abc8f09c7bd,pacemaker-implantations-per-million-people_v12_850x600.svg,2,10,160942368,1711 +7315,hospitals-with-cath-labs-per-million-people,map,,a33c5b44d2062646ba44d4106edbf162,hospitals-with-cath-labs-per-million-people_v11_850x600.svg,2,8,272267288,1532 +7317,gender-ratio-in-life-expectancy-at-birth,map,,b0295cff66c088f53a2d53e2320eca92,gender-ratio-in-life-expectancy-at-birth_v12_850x600.svg,65,116,181753704,668386 +7318,mortality-rates-age-25-by-sex,ScatterPlot,,c86ba2d650df6efc96a4b4cb4306eff9,mortality-rates-age-25-by-sex_v17_850x600.svg,451,836,309158552,1276210 +7319,mortality-rates-age-65-by-sex,ScatterPlot,,57d38bf104237ae527e0b42146ca0a35,mortality-rates-age-65-by-sex_v23_850x600.svg,503,800,470526848,1302721 +7321,hospitals-with-dedicated-stroke-units-per-million-people,map,,5358b162afac484acb3ace064149f327,hospitals-with-dedicated-stroke-units-per-million-people_v9_850x600.svg,2,8,178645200,1244 +7322,hospitals-with-dedicated-heart-failure-centers-per-million-people,map,,2c8dfc4b6345d797aeaf1036811587ed,hospitals-with-dedicated-heart-failure-centers-per-million-people_v10_850x600.svg,1,8,424881104,986 +7323,implantable-cardioverter-defibrillator-icd-implantations-per-million-people,map,,033679439565e2fd963ef4c8ad0e3c27,implantable-cardioverter-defibrillator-icd-implantations-per-million-people_v11_850x600.svg,1,8,193290584,1681 +7324,share-of-percutaneous-coronary-interventions-pci-performed-by-transradial-access,map,,6672e7d997d72038c47946fc9a03cc6b,share-of-percutaneous-coronary-interventions-pci-performed-by-transradial-access_v6_850x600.svg,1,8,298817000,456 +7325,catheterization-labs-per-million-people,map,,172d5395bdbcda0cc91a2d5dd5911b38,catheterization-labs-per-million-people_v12_850x600.svg,1,12,420472768,374 +7326,statin-use-vs-share-of-population-with-high-blood-pressure,ScatterPlot,,9d3a74cc7cca6c433228fd1ea8c0ac81,statin-use-vs-share-of-population-with-high-blood-pressure_v20_850x600.svg,1170,1636,217804608,2697887 +7327,use-of-statins-for-secondary-prevention-amongst-eligibible-individuals,LineChart,,93c4f5e1f35d569e027153014aa26317,use-of-statins-for-secondary-prevention-amongst-eligibible-individuals_v18_850x600.svg,1,13,180536776,1197 +7328,use-of-statins-for-primary-prevention-of-cardiovascular-disease,LineChart,,72f17b921b73d7e7b0a41c523796e668,use-of-statins-for-primary-prevention-of-cardiovascular-disease_v21_850x600.svg,2,10,309331104,1151 +7329,maximum-life-expectancy-sex-female,ScatterPlot,,21b4a74b3c4c4d611054000589a45e05,maximum-life-expectancy-sex-female_v23_850x600.svg,110,243,316568824,12885 +7330,state-capacity-index,map,,aaecd1a06dbb53952507366ad4ce205b,state-capacity-index_v22_850x600.svg,23,55,193345448,276229 +7331,police-officers-per-1000-people,map,,f7940a305912b504292fbc889504d382,police-officers-per-1000-people_v22_850x600.svg,5,74,429374000,55983 +7333,cumulative-share-of-notable-artificial-intelligence-systems-by-researcher-affiliation,StackedArea,,57eae26166f6706fe7317378b8d08f36,cumulative-share-of-notable-artificial-intelligence-systems-by-researcher-affiliation_v26_850x600.svg,2,10,187847760,7755 +7334,fur-trading-ban,map,,3804a17493d29a6cb03d7a4b3f869d69,fur-trading-ban_v3_850x600.svg,3,15,423522920,1670 +7337,population-living-in-european-colonies-and-colonizers,StackedArea,,5983f83ec179e5af052d89f649de304b,population-living-in-european-colonies-and-colonizers_v20_850x600.svg,25,33,197072720,261075 +7338,number-of-european-overseas-colonies-and-colonizers,StackedArea,,31602cf5685ca8ea49abf16ca01cac6b,number-of-european-overseas-colonies-and-colonizers_v22_850x600.svg,72,85,433788936,539184 +7339,peaceful-and-hostile-relationships-between-states-no-relationship-included,StackedArea,,b1c307ea89ed4b3f8bf481d7fe7ac5f8,peaceful-and-hostile-relationships-between-states-no-relationship-included_v23_850x600.svg,16,25,200115712,141221 +7341,status-of-buruli-ulcer-endemicity,map,,ffdef7e9ae1f4b72c7fea59b7b6c9c9c,status-of-buruli-ulcer-endemicity_v14_850x600.svg,3,14,318116352,7976 +7342,reported-cases-of-leprosy,map,,8798740743a00e9035cdda43fe9045dd,reported-cases-of-leprosy_v11_850x600.svg,5,15,192179776,63141 +7344,share-of-total-deaths-in-both-sexes-aged-all-ages-years-that-are-from-cardiovascular-diseases,SlopeChart,,812615ce6615088e1ccb9f5ed8ad3c69,share-of-total-deaths-in-both-sexes-aged-all-ages-years-that-are-from-cardiovascular-diseases_v11_850x600.svg,28,48,316774888,170490 +7348,reported-rabies-deaths,map,,209af6f9d1a18d3193a03297948792f1,reported-rabies-deaths_v10_850x600.svg,2,14,438698352,27428 +7350,united-nations-membership-status,map,,ee43af78f46ea64e97cdac44c7c2801c,united-nations-membership-status_v17_850x600.svg,31,58,197507800,539991 +7351,people-living-in-united-nations-member-states,StackedArea,,7124d242cb339db1189cb46c59b78996,people-living-in-united-nations-member-states_v7_850x600.svg,6,15,318609480,62925 +7352,number-of-members-of-united-nations,StackedArea,,96632c4cfe35ee7ea773dce8c2df3152,number-of-members-of-united-nations_v10_850x600.svg,6,15,431641416,50588 +7354,accessibility-of-statins-in-the-public-health-sector,map,,ef09c0b75ced5c3b4e4d8a4772398391,accessibility-of-statins-in-the-public-health-sector_v10_850x600.svg,3,9,335220728,26526 +7356,life-expectancy-versus-gini-lifespan-inequality,ScatterPlot,,76f847acab8220d26258545896110f1f,life-expectancy-versus-gini-lifespan-inequality_v14_850x600.svg,551,910,508433168,1870227 +7357,share-of-ai-systems-by-domain,StackedArea,,bc5e8ee233154a19506f6f1f03a7ca52,share-of-ai-systems-by-domain_v19_850x600.svg,3,17,228066720,23177 +7358,status-of-endemicity-of-cutaneous-leishmaniasis,map,,a3f72369cae63b3ba7bbf15730efbe85,status-of-endemicity-of-cutaneous-leishmaniasis_v21_850x600.svg,2,8,331146696,9110 +7359,share-of-deaths-from-underlying-causes,StackedArea,,2302bdd69f09cc52610b18a522227111,share-of-deaths-from-underlying-causes_v9_850x600.svg,237,251,290875520,1775428 +7360,incidence-rate-of-cardiovascular-disease,map,,f6bd267ee15654866554c85fc869c2a7,incidence-rate-of-cardiovascular-disease_v24_850x600.svg,13,27,214348968,241649 +7361,status-of-endemicity-of-visceral-leishmaniasis,map,,d2d139a6a363b68ceab6960f4f2aefe5,status-of-endemicity-of-visceral-leishmaniasis_v18_850x600.svg,2,19,327647808,9290 +7372,status-of-endemicity-of-onchocerciasis,map,,6ff1ee84d9295196e1076f884670b8cf,status-of-endemicity-of-onchocerciasis_v15_850x600.svg,1,12,207734136,1459 +7374,annual-deaths-by-age,DiscreteBar,,b31fddfdf0c2db69d9bedecc354c5263,annual-deaths-by-age_v31_850x600.svg,1488,1506,499561408,11591858 +7375,reported-cases-of-human-african-trypanosomiasis-t-b-gambiense,map,,8bd85c580d52158bd68165aedb90ee39,reported-cases-of-human-african-trypanosomiasis-t-b-gambiense_v16_850x600.svg,1,24,218811448,16151 +7376,reported-cases-of-acute-african-trypanosomiasis,LineChart,,6967cd29ab24db3c8b0f692af1de73b5,reported-cases-of-acute-african-trypanosomiasis_v8_850x600.svg,1,9,305969112,5142 +7378,gender-gap-in-life-expectancy-by-age-group,StackedArea,,4f554d4e658e44b76c3e2d6e32b18ea6,gender-gap-in-life-expectancy-by-age-group_v16_850x600.svg,86,103,231585496,692810 +7380,modal-age-at-death-in-adults,LineChart,,9f166d8fb2e5e1960c3b3b8db5e59a36,modal-age-at-death-in-adults_v10_850x600.svg,3,20,308612696,21706 +7381,taxes-on-income-vs-taxes-on-goods-and-services,ScatterPlot,,7aced1e56a9e688bbb805f21cae820fd,taxes-on-income-vs-taxes-on-goods-and-services_v10_850x600.svg,1030,1450,219500360,2852909 +7382,status-of-trachoma-as-a-public-health-problem,map,,aed55f2dece86f5cef21fda66a224a3b,status-of-trachoma-as-a-public-health-problem_v15_850x600.svg,2,7,324062120,11990 +7384,states-involved-in-wars,map,,9656194aa97d0503ddc1755f6c3f9a97,states-involved-in-wars_v30_850x600.svg,71,160,333864184,743966 +7385,states-involved-in-state-based-conflicts,map,,e31c476c4e5fe1366ff6cb4f0a5ddc5f,states-involved-in-state-based-conflicts_v64_850x600.svg,21,40,302411152,309004 +7387,death-rate-from-snakebite-envenoming,map,,0441064b566e7b0f4972dbad6b2978c0,death-rate-from-snakebite-envenoming_v7_850x600.svg,2,14,236559200,4656 +7388,sovereign-state-butcher-griffiths,map,,d29c903c3f82f7afbeabeb4ec4a7698e,sovereign-state-butcher-griffiths_v13_850x600.svg,190,298,273164616,2425062 +7389,sovereign-state-gleditsch-ward,map,,570e05fe81a386f360879ecff7be048c,sovereign-state-gleditsch-ward_v12_850x600.svg,130,255,311619272,1202934 +7390,sovereign-state-cow,map,,5a63fddc15be49f237df4eef0bca79be,sovereign-state-cow_v15_850x600.svg,123,275,338617208,1150977 +7391,death-rate-from-diabetes-who-mdb,map,,8ffe8445632f904d6375bb553ed422ac,death-rate-from-diabetes-who-mdb_v5_850x600.svg,9,29,230203904,144798 +7393,chronic-respiratory-diseases-death-rate-who-mdb,map,,81a45400429c8006e9279e6a9f72cfd0,chronic-respiratory-diseases-death-rate-who-mdb_v4_850x600.svg,9,30,330515032,157851 +7394,country-has-a-civil-register,map,,39157a84205b24d4365ec7b76e0cf039,country-has-a-civil-register_v12_850x600.svg,25,118,272247888,406079 +7395,population-census-brambor,map,,c978449d1f1e49a418aab535226d5f31,population-census-brambor_v14_850x600.svg,66,128,227958360,451991 +7396,population-register-implemented,map,,269c5132cb711896a69b6cfba0022f43,population-register-implemented_v14_850x600.svg,29,115,331715776,406079 +7397,country-has-a-statistical-agency,map,,96ece2f73ea3a1fc114112d1e7cb7651,country-has-a-statistical-agency_v19_850x600.svg,22,97,226601208,350530 +7398,census-based-on-population-register-recently-completed,map,,7ac356ee49edbe68a6964a42ceb4892a,census-based-on-population-register-recently-completed_v14_850x600.svg,65,124,352988272,451991 +7400,number-of-countries-with-basic-statistical-institutions,LineChart,,813f80ee80f48aeda53d5ef8b5dda07f,number-of-countries-with-basic-statistical-institutions_v35_850x600.svg,28,40,272763032,422735 +7401,death-rate-from-digestive-diseases-who-mdb,map,,5efbb846f569d74742e79eb9e9ef2d02,death-rate-from-digestive-diseases-who-mdb_v5_850x600.svg,9,28,231737136,158007 +7402,public-sector-employment-as-a-share-of-total-employment,map,,bbadd15b035fa32a1405ab65044b61e5,public-sector-employment-as-a-share-of-total-employment_v14_850x600.svg,2,15,333274360,33979 +7403,death-rate-from-maternal-disorders,map,,c0c78160a89b0897373666d6f0edbef1,death-rate-from-maternal-disorders_v13_850x600.svg,7,25,513550496,158140 +7404,share-employment-agriculture-industry-services,StackedArea,,ac6f6bc83a33f3fcb18a3f024fe46957,share-employment-agriculture-industry-services_v12_850x600.svg,74,84,281847096,642230 +7405,gini-coefficient-of-lifespan-inequality-in-males,LineChart,,f003754649c77422dc967a6ae1e8fd6c,gini-coefficient-of-lifespan-inequality-in-males_v14_850x600.svg,61,79,234470280,687414 +7406,unemployment-rate-imf,LineChart,,b22ad269636a23d34a17f388cfa52743,unemployment-rate-imf_v13_850x600.svg,24,34,326548216,137160 +7407,death-rate-from-maternal-disorders-ihme,map,,588ad24731675ca41415bc2a4998f45c,death-rate-from-maternal-disorders-ihme_v12_850x600.svg,13,31,239463352,316661 +7408,tuberculosis-death-rate,map,,dfc79b91d2c6472890c698bd1e857cdb,tuberculosis-death-rate_v6_850x600.svg,16,27,341919184,142430 +7409,tuberculosis-deaths-who,map,,a9d0c3087a351ecea25651bce58ec078,tuberculosis-deaths-who_v4_850x600.svg,10,18,500415392,142019 +7410,interpersonal-trust-measured-in-different-surveys,ScatterPlot,,0adff9f97b6b6bbce4baf1253ea97da7,interpersonal-trust-measured-in-different-surveys_v16_850x600.svg,20,42,342971584,38655 +7411,deaths-from-snakebite-envenoming,map,,b82097d5612804afff65e855fcdec001,deaths-from-snakebite-envenoming_v3_850x600.svg,2,7,297052376,4364 +7412,prevalence-rate-of-cardiovascular-disease,map,,36a6c241b3ada1fa44b7b1b45fb664ae,prevalence-rate-of-cardiovascular-disease_v21_850x600.svg,14,25,236566216,235500 +7413,death-rate-from-cardiovascular-disease-age-standardized-ghe,map,,f945132e2e947545567b3c30bc1d823f,death-rate-from-cardiovascular-disease-age-standardized-ghe_v35_850x600.svg,6,19,246230040,146992 +7415,statin-use-cardiovascular-disease-death-rate,ScatterPlot,,96ba2e258d04aee39ac33a13e663a48c,statin-use-cardiovascular-disease-death-rate_v29_850x600.svg,848,1205,496855240,2644617 +7416,coronary-angiography-diagnostic-cardiac-catheterization-per-million-people,map,,92e279e7cb80536fc6c3328c16e935d4,coronary-angiography-diagnostic-cardiac-catheterization-per-million-people_v17_850x600.svg,1,7,515361136,1629 +7417,coronary-stents-per-million-people,map,,a2fca7c85ad900e628808eceafe682e0,coronary-stents-per-million-people_v11_850x600.svg,1,7,355070528,380 +7419,tax-revenues-vs-income-inequality,ScatterPlot,,6a9b4229f89033ee3bf3c1478341019b,tax-revenues-vs-income-inequality_v46_850x600.svg,702,1080,423939896,2136604 +7421,deaths-from-cardiovascular-disease-type,DiscreteBar,,eff19d830ed6d31d8e3bf20f2cb4a2ff,deaths-from-cardiovascular-disease-type_v36_850x600.svg,81,93,252336496,954983 +7422,cardiovascular-disease-death-crude-rate-who-mdb,LineChart,,4c456206d56af8f49dc6ac10ec8de748,cardiovascular-disease-death-crude-rate-who-mdb_v25_850x600.svg,9,26,241560200,157697 +7423,cardiovascular-diseases-deaths-by-risk-factor,DiscreteBar,,6cfc8ce05eb9a40e8c8796b4ad45cf23,cardiovascular-diseases-deaths-by-risk-factor_v39_850x600.svg,193,201,394120536,2927963 +7424,death-rate-from-rheumatic-heart-disease-who-ghe-age-standardized,map,,ffa14224950362b841166395c58bc619,death-rate-from-rheumatic-heart-disease-who-ghe-age-standardized_v27_850x600.svg,9,23,508305832,148024 +7425,death-rate-from-cardiomyopathy-myocarditis-endocarditis-who-ghe-age-standardized,map,,7e4ec5083543033329a41b9cdff18024,death-rate-from-cardiomyopathy-myocarditis-endocarditis-who-ghe-age-standardized_v29_850x600.svg,9,26,194996040,146616 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+7444,ghg-emissions-by-sector-stacked,StackedArea,,f77709ad020315988d0ea745ae929aa0,ghg-emissions-by-sector-stacked_v4_850x600.svg,149,159,316335152,1934198 +7448,deaths-from-cardiovascular-diseases-by-region-slope,SlopeChart,,91b451f864e3db42a0b1bdaee56386b0,deaths-from-cardiovascular-diseases-by-region-slope_v35_850x600.svg,9,57,515524264,141381 +7449,deaths-in-wars-by-war-1800-2011-bar-chart,DiscreteBar,,636c944876ca5dfbbebbd4d90cee2854,deaths-in-wars-by-war-1800-2011-bar-chart_v34_850x600.svg,2,13,222648608,8185 +7450,global-tuberculosis-incidence-rate-by-age,LineChart,,fb6453e41d920f39e22da158badaad45,global-tuberculosis-incidence-rate-by-age_v4_850x600.svg,13,25,267451736,58987 +7451,deaths-in-interstate-conflicts,map,,843f437057987adf9a982ade842bede6,deaths-in-interstate-conflicts_v36_850x600.svg,6,25,238940672,178226 +7452,deaths-in-intrastate-conflicts,map,,12be4a6c0ddd3b52e22e6a872540b2f1,deaths-in-intrastate-conflicts_v34_850x600.svg,12,22,267787568,180309 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+7459,countries-where-interstate-or-intrastate-wars-took-place,map,,16cd24d0932a463186bddc544c63b091,countries-where-interstate-or-intrastate-wars-took-place_v33_850x600.svg,39,120,270044432,376386 +7461,rate-of-interstate-conflicts,StackedBar,,c7b28d3a62936bf05a9257c8e9490d1a,rate-of-interstate-conflicts_v29_850x600.svg,14,152,523972104,131013 +7462,rate-of-state-based-conflicts,StackedBar,,ff01251ba86bec725b429452f23d6c0b,rate-of-state-based-conflicts_v36_850x600.svg,15,91,399493992,57255 +7463,number-of-wars-project-mars,StackedBar,,363b18089daaa9af6809756d1fd2bbfc,number-of-wars-project-mars_v28_850x600.svg,9,126,214971736,68378 +7464,war-rate-by-type-project-mars,StackedBar,,1c427c1e08e875cfe3bc2931cd114797,war-rate-by-type-project-mars_v27_850x600.svg,66,122,324453552,70418 +7465,war-rate-correlates-of-war,StackedBar,,872129d0c5311cdbe3fd3141bd2e4188,war-rate-correlates-of-war_v27_850x600.svg,21,66,243866536,170568 +7466,number-of-wars-correlates-of-war,StackedBar,,30a620f69970a7e5d57e2ea9e68be078,number-of-wars-correlates-of-war_v27_850x600.svg,26,71,411047744,156617 +7467,number-of-interstate-conflicts,StackedBar,,e84cd972da595c628180a6fdcefd39fa,number-of-interstate-conflicts_v40_850x600.svg,19,51,279827568,127703 +7468,rate-of-armed-conflicts,StackedBar,,17b7358421602960954daebf9936d57a,rate-of-armed-conflicts_v42_850x600.svg,13,26,289456032,56749 +7470,deaths-in-armed-conflicts,LineChart,,478d8f2fb1345884ffa5f590ed6399de,deaths-in-armed-conflicts_v41_850x600.svg,3,9,322872752,18655 +7471,deaths-in-wars-correlates-of-war,StackedBar,,43cfcda217b05500359c19d47301e3b1,deaths-in-wars-correlates-of-war_v22_850x600.svg,11,46,223121008,22530 +7472,death-rate-in-wars-project-mars,StackedBar,,4d38fc298b1de8fdc9035259fd7c2aac,death-rate-in-wars-project-mars_v22_850x600.svg,6,28,533210328,70174 +7473,death-rate-in-wars-correlates-of-war,StackedBar,,bf76eaea16a8bf37d0355d4f5ed0d6d7,death-rate-in-wars-correlates-of-war_v27_850x600.svg,7,41,329431856,25285 +7474,deaths-in-interstate-conflicts-by-region-gibler-miller,StackedBar,,1712c62850e9dedceb83e58addca2da9,deaths-in-interstate-conflicts-by-region-gibler-miller_v19_850x600.svg,6,45,297705896,33368 +7476,deaths-in-wars-by-region-project-mars,StackedBar,,840df0b11006135cac963fbdb4c46c4d,deaths-in-wars-by-region-project-mars_v23_850x600.svg,4,51,258213200,36567 +7478,deaths-in-state-based-conflicts,LineChart,,18ab7f32c80bd22030b933d64f6e9f3d,deaths-in-state-based-conflicts_v40_850x600.svg,5,13,270533128,41584 +7480,tuberculosis-deaths-by-hiv-status,StackedArea,,1e387285fd8053d218418a65b24d2dae,tuberculosis-deaths-by-hiv-status_v2_850x600.svg,42,49,546988176,279649 +7481,tuberculosis-case-fatality-rate,map,,e5422f9e2342db504ac61ee8bd12ffbd,tuberculosis-case-fatality-rate_v8_850x600.svg,13,35,429463072,133992 +7482,tuberculosis-treatment-success-rate-by-type,LineChart,,1d4e6876504a7b2ff7585c806ed8f2f7,tuberculosis-treatment-success-rate-by-type_v20_850x600.svg,33,42,227659816,206689 +7483,tuberculosis-treatment-success-rate-in-new-and-relapsed-cases,LineChart,,68614de30b3dfee2a3201a169b9c7fa3,tuberculosis-treatment-success-rate-in-new-and-relapsed-cases_v8_850x600.svg,8,24,276152408,131170 +7484,drug-resistant-confirmed-cases-of-tuberculosis,DiscreteBar,,f58c4da67433253df1c013b5f5f6c10b,drug-resistant-confirmed-cases-of-tuberculosis_v8_850x600.svg,14,21,331524824,42647 +7487,tuberculosis-case-detection-rate,map,,4ef7a9658c61b1f6962026c8acf6d95e,tuberculosis-case-detection-rate_v10_850x600.svg,6,24,301766272,122901 +7490,cases-of-multidrug-resistant-tuberculosis,map,,c1ae429dc7cd6d8045295e5a934e31d9,cases-of-multidrug-resistant-tuberculosis_v28_850x600.svg,12,28,225707464,245179 +7491,tuberculosis-patients-with-hiv-share,map,,da32a65ba5987a4415db1b2c61d5885d,tuberculosis-patients-with-hiv-share_v17_850x600.svg,9,19,340864472,122619 +7493,cases-of-extensively-drug-resistant-tuberculosis,map,,dcc3662b4e7153c3a69bcb07f33ffcc4,cases-of-extensively-drug-resistant-tuberculosis_v31_850x600.svg,11,26,280425528,247508 +7494,hivaids-deaths-tuberculosis-drug-resistant,StackedArea,,9a5ed3c309e23523a379743b3fa426c2,hivaids-deaths-tuberculosis-drug-resistant_v27_850x600.svg,132,148,264005456,1300867 +7495,average-cost-of-tuberculosis-treatment-by-type,DiscreteBar,,d47a1d0af76500c2757622c0a84510c3,average-cost-of-tuberculosis-treatment-by-type_v15_850x600.svg,4,18,541483648,52659 +7496,average-cost-of-tuberculosis-treatment-multi-drug-resistant,map,,5b655b8e1aff3de53bc8c34668127729,average-cost-of-tuberculosis-treatment-multi-drug-resistant_v10_850x600.svg,2,11,426680576,16369 +7497,tuberculosis-funding-versus-budget-requirement,StackedDiscreteBar,,e3546424f332de83a41e250564046c56,tuberculosis-funding-versus-budget-requirement_v21_850x600.svg,8,18,252141656,95954 +7498,tuberculosis-deaths-under-five-ihme,map,,0d94ca679e226e9a4f98f07d5e873851,tuberculosis-deaths-under-five-ihme_v14_850x600.svg,16,34,553370000,324894 +7506,tuberculosis-incidence-uncertainty-intervals,LineChart,,581f84a4d1811ce1e1b3e7c8cfdc3323,tuberculosis-incidence-uncertainty-intervals_v7_850x600.svg,43,49,338002000,440898 +7507,sites-providing-rapid-tuberculosis-diagnostics-per-million-people,map,,594ec1833a2174b7d1481748a99d6ab8,sites-providing-rapid-tuberculosis-diagnostics-per-million-people_v6_850x600.svg,2,15,298317216,9624 +7509,tuberculosis-cases-attributable-to-risk-factors,LineChart,,7f67a796df0ba3f11b2c94885b27ff96,tuberculosis-cases-attributable-to-risk-factors_v10_850x600.svg,5,15,255915312,25594 +7510,average-performance-of-15-year-olds-in-mathematics-reading-and-science,LineChart,,b9376e88b3612f017819b2378ffceb51,average-performance-of-15-year-olds-in-mathematics-reading-and-science_v20_850x600.svg,4,19,227358800,45088 +7511,average-performance-of-15-year-olds-on-the-science-scale,map,,244de7e6461dbbe2b5dd1455528f1c51,average-performance-of-15-year-olds-on-the-science-scale_v13_850x600.svg,8,15,424972040,41030 +7512,average-performance-of-15-year-old-girls-and-boys-on-the-science-scale,ScatterPlot,,bb6d02ff1beb3e4025ef3711da7b08d4,average-performance-of-15-year-old-girls-and-boys-on-the-science-scale_v9_850x600.svg,573,905,434351960,2509913 +7515,global-deaths-in-violent-political-conflicts-over-the-long-run,LineChart,,49859339603db3ef0591e65bffe92252,global-deaths-in-violent-political-conflicts-over-the-long-run_v23_850x600.svg,2,10,253928728,18151 +7516,global-death-rate-in-violent-political-conflicts-over-the-long-run,LineChart,,7568c6df6eb9878771594d429bfdd808,global-death-rate-in-violent-political-conflicts-over-the-long-run_v29_850x600.svg,3,15,229022256,20380 +7518,confirmed-tb-cases-vs-rifampicin-resistant-tb-cases,LineChart,,4cb142e0ab1892a43a301bc3ed75d0f2,confirmed-tb-cases-vs-rifampicin-resistant-tb-cases_v22_850x600.svg,8,27,262181544,66576 +7519,the-share-of-tuberculosis-tests-that-are-positive,map,,108cade217da03cdc82f4d6eb4adc937,the-share-of-tuberculosis-tests-that-are-positive_v7_850x600.svg,3,8,290520552,9440 +7522,electricity-generation-from-solar-and-wind-compared-to-coal,LineChart,,6768c62423ad0f61aabed553c840fc37,electricity-generation-from-solar-and-wind-compared-to-coal_v14_850x600.svg,44,68,247833360,419638 +7525,total-market-capitalization-listed-domestic-companies-share-gdp,LineChart,,797f4e8a7072ca16aeccafdbdc69eb9e,total-market-capitalization-listed-domestic-companies-share-gdp_v5_850x600.svg,4,15,417640552,97808 +7530,new-reported-cases-tetanus,LineChart,,302731ecab11f29a7d567ecf831d3fe1,new-reported-cases-tetanus_v31_850x600.svg,10,21,552535328,205370 +7531,days-leave-available-for-mother,map,,4190fc36c25ffce0d2ec149a114aef68,days-leave-available-for-mother_v39_850x600.svg,20,34,348038568,272348 +7532,days-leave-available-for-father,map,,b0e9cd4205f9d20547879e8564046e4c,days-leave-available-for-father_v37_850x600.svg,15,32,510281888,262836 +7534,days-of-paid-maternity-paternity-and-parental-leave,StackedDiscreteBar,,3816716b08874b0e36a8515f666d88b3,days-of-paid-maternity-paternity-and-parental-leave_v21_850x600.svg,110,124,438238544,1316940 +7536,cancer-death-rate-crude-vs-age-standardized-who-mdb,LineChart,,022bf5a8bf0372b3db7b3b85867176d5,cancer-death-rate-crude-vs-age-standardized-who-mdb_v15_850x600.svg,28,40,266138304,316192 +7537,nuclear-non-proliferation-treaty,map,,76c342c08a215473cb5ea283be458383,nuclear-non-proliferation-treaty_v4_850x600.svg,15,30,309372680,384831 +7538,comprehensive-nuclear-test-ban-treaty,map,,1af736811a5da0d045a1d6096cc7239e,comprehensive-nuclear-test-ban-treaty_v6_850x600.svg,8,21,563455920,189146 +7539,prohibition-of-nuclear-weapons,map,,1d7ecf77121f4d56f35635b5a546f0a9,prohibition-of-nuclear-weapons_v6_850x600.svg,4,17,351205624,48735 +7540,partial-nuclear-test-ban-treaty,map,,e24dcddf625b92e17ae0dcb42e0abf6e,partial-nuclear-test-ban-treaty_v4_850x600.svg,21,39,276617184,421885 +7541,number-of-countries-that-approve-of-nuclear-weapons-treaties,LineChart,,7d284de1624f94d751000e87b2679117,number-of-countries-that-approve-of-nuclear-weapons-treaties_v9_850x600.svg,2,9,505511080,12987 +7543,global-average-gdp-per-capita-over-the-long-run,LineChart,,d95e5a7275396edce2826096b5051b8a,global-average-gdp-per-capita-over-the-long-run_v13_850x600.svg,1,10,261241072,1600 +7546,share-of-the-population-without-access-to-clean-fuels-for-cooking,map,,06884d6460ebe3f4f4d84211da7acc1e,share-of-the-population-without-access-to-clean-fuels-for-cooking_v3_850x600.svg,10,25,252994216,181268 +7547,threshold-income-or-consumption-for-each-decile,LineChart,,c367e1ac446424cc5e569571e2251ea8,threshold-income-or-consumption-for-each-decile_v31_850x600.svg,48,59,566178840,782939 +7548,share-of-urban-population-by-size-of-the-agglomeration,LineChart,,87f3c96eceb9252e5cc8adb104198384,share-of-urban-population-by-size-of-the-agglomeration_v15_850x600.svg,64,73,308451616,754637 +7549,annual-rate-of-change-in-urban-populations,map,,7689705d1f804fdddcbec450a6ba9396,annual-rate-of-change-in-urban-populations_v10_850x600.svg,9,19,275197096,87499 +7550,population-of-cities-towns-and-suburbs-and-rural-areas,StackedArea,,ae9c72cab643d02bdc1e854dcd2cec72,population-of-cities-towns-and-suburbs-and-rural-areas_v8_850x600.svg,31,58,515993824,249534 +7551,number-of-cities-towns-and-suburbs-and-rural-areas,LineChart,,7d4ca3b1047008ce3b24fc3454af7682,number-of-cities-towns-and-suburbs-and-rural-areas_v10_850x600.svg,31,50,358997424,250168 +7552,share-of-urban-population-by-source,LineChart,,429a72b9e434fda5e9ecb734941b311b,share-of-urban-population-by-source_v6_850x600.svg,111,122,265934936,662804 +7553,electric-car-sales-share,LineChart,,b18fce1935a37d259d89a7810ad6bc83,electric-car-sales-share_v7_850x600.svg,2,21,272440368,13132 +7554,share-car-sales-battery-plugin,StackedBar,,db759170609530d9d4148956e5e23c97,share-car-sales-battery-plugin_v6_850x600.svg,3,33,275061560,27984 +7555,electric-car-sales,map,,d85cc4182dfe893a86897346db9f46de,electric-car-sales_v8_850x600.svg,2,7,568265688,12119 +7556,electric-car-stocks,LineChart,,ae3ea1744c879f7aa278ed8b477b1002,electric-car-stocks_v4_850x600.svg,2,14,512152880,12083 +7557,monthly-average-surface-temperatures-by-year,LineChart,,683b19f16cb1b757d93ca6c7ba313a77,monthly-average-surface-temperatures-by-year_v15_850x600.svg,334,360,552317272,5346464 +7558,share-car-stocks-electric,LineChart,,309286495dc07e6077fca53a03e6fe1c,share-car-stocks-electric_v7_850x600.svg,2,10,354521864,13449 +7559,car-sales,StackedBar,,a23d327bfb7c7afc8702a98d7e438fd2,car-sales_v10_850x600.svg,4,10,318098792,25771 +7560,global-yearly-surface-temperature-anomalies,ScatterPlot,,b4c6f4b77b152d44e6fe468ead84e790,global-yearly-surface-temperature-anomalies_v11_850x600.svg,1,9,272401592,3322 +7562,annual-temperature-anomalies,map,,2fae5cbe41b4fe8c2cbecffa75728b82,annual-temperature-anomalies_v15_850x600.svg,35,88,532616592,576284 +7563,monthly-temperature-anomalies,map,,d9ee03f217b224df0c25879ff82aeef0,monthly-temperature-anomalies_v11_850x600.svg,262,555,389601440,6964586 +7564,monthly-surface-temperature-anomalies-by-year,LineChart,,e6b028e10b23a090fbac6912bbfa006c,monthly-surface-temperature-anomalies-by-year_v14_850x600.svg,322,349,423640152,5559953 +7565,monthly-surface-temperature-anomalies-by-decade,LineChart,,95dd292c6c7451f3141fc9fc6a47a49e,monthly-surface-temperature-anomalies-by-decade_v21_850x600.svg,43,53,366851880,674806 +7566,monthly-average-surface-temperatures-by-decade,LineChart,,2fb0bc9063cf31ef23b1d3dadf0dc5ff,monthly-average-surface-temperatures-by-decade_v25_850x600.svg,41,49,279648936,645263 +7567,annual-growth-rate-of-urban-population-share,map,,e18bc8a72f75fdde2e242bd44ff0237a,annual-growth-rate-of-urban-population-share_v6_850x600.svg,22,35,569570768,185560 +7568,long-run-methane-concentration,LineChart,,a3a8cdbc42d2bf45e99d17a28aad7da8,long-run-methane-concentration_v5_850x600.svg,9,24,283228608,70991 +7569,sea-level,LineChart,,b961325fe439eadbd827681d0e2fe014,sea-level_v7_850x600.svg,4,23,373831520,45803 +7570,global-co2-concentration,LineChart,,c454258ab2d248f4ff73af0b32e96c98,global-co2-concentration_v5_850x600.svg,4,21,569883160,35796 +7571,global-methane-concentrations,LineChart,,8506df05ddc45bba04f50bea199a6c1a,global-methane-concentrations_v5_850x600.svg,14,22,264014544,32818 +7572,global-nitrous-oxide-concentration,LineChart,,ba82cfc7d8262fab63ca86e529389f11,global-nitrous-oxide-concentration_v5_850x600.svg,2,11,369769296,18257 +7573,seawater-ph,LineChart,,e547b9d5b0270618ca0290da938e67d3,seawater-ph_v5_850x600.svg,3,15,281511560,22130 +7574,sea-surface-temperature,LineChart,,f2178043694698327dd22e7521273ba4,sea-surface-temperature_v6_850x600.svg,13,58,267446544,217856 +7575,ocean-heat-content-upper,LineChart,,dc17be84b841da5e5442220517d2e2dc,ocean-heat-content-upper_v6_850x600.svg,2,16,567967120,8810 +7576,monthly-upper-ocean-heat,LineChart,,dee68b7651ca077d41ef568fdf1bc5cb,monthly-upper-ocean-heat_v6_850x600.svg,1,12,526369712,8050 +7577,monthly-ocean-heat-2000m,LineChart,,e26894d0af2bf8a45b7e8ccd70dc4e4c,monthly-ocean-heat-2000m_v7_850x600.svg,1,9,380014176,8094 +7578,ocean-heat-top-2000m,LineChart,,7520bd0d153e8d16b7027aa926c5eaab,ocean-heat-top-2000m_v6_850x600.svg,2,10,293670416,6962 +7579,co2-long-term-concentration,LineChart,,347b503d7317ff8aee0a34207bc57b88,co2-long-term-concentration_v6_850x600.svg,5,21,535363792,64889 +7580,snow-cover-north-america,LineChart,,25ab04c085231abdd4d684fabcb3bb8c,snow-cover-north-america_v7_850x600.svg,6,27,566187744,86946 +7581,ice-sheet-mass-balance,LineChart,,1b1276fcf196986ef768ab679b67e651,ice-sheet-mass-balance_v6_850x600.svg,1,8,374488272,12869 +7582,global-monthly-temp-anomaly,LineChart,,d0a631616882e112ba3140f5987deef5,global-monthly-temp-anomaly_v6_850x600.svg,10,48,306343120,165128 +7583,antarctica-sea-ice-extent,LineChart,,3e597928aec2508133c9ed30531289b8,antarctica-sea-ice-extent_v7_850x600.svg,2,11,366396512,2880 +7584,arctic-sea-ice,LineChart,,7ff4a08334f302a1927dbdaca197feb0,arctic-sea-ice_v6_850x600.svg,1,14,525523328,3158 +7585,nitrous-oxide-long,LineChart,,abba14abe21abb2352adde01e206909f,nitrous-oxide-long_v6_850x600.svg,3,14,380373488,29786 +7586,mass-us-glaciers,LineChart,,6f3962412caf2a0e13a14ef300a0025f,mass-us-glaciers_v5_850x600.svg,1,8,576277792,7973 +7588,bev-share-new-ev,LineChart,,766053aa36046664468e0ff24e4eb030,bev-share-new-ev_v7_850x600.svg,2,8,535338608,13615 +7589,average-monthly-surface-temperature,map,,557cbe7889706e0c76d86a2345fe6038,average-monthly-surface-temperature_v9_850x600.svg,1479,2001,218211184,7274953 +7591,share-of-population-living-in-cities-towns-and-suburbs-and-rural-areas-by-income-group,LineChart,,30c752d40d77ee0d50cd7a9e359b977c,share-of-population-living-in-cities-towns-and-suburbs-and-rural-areas-by-income-group_v15_850x600.svg,20,43,581121104,293764 +7593,share-of-the-urban-and-rural-population-using-safely-managed-drinking-water-services,LineChart,,7b0232b52595df636e9fc46c87de971d,share-of-the-urban-and-rural-population-using-safely-managed-drinking-water-services_v11_850x600.svg,10,24,271506984,161794 +7594,share-of-the-urban-and-rural-population-using-safely-managed-sanitation-services,LineChart,,5d7b0fd36d977ac2295303ea3ec946c2,share-of-the-urban-and-rural-population-using-safely-managed-sanitation-services_v9_850x600.svg,10,20,419972192,185960 +7607,how-important-family-is-to-people-in-life,StackedDiscreteBar,,22a17333ba17abc9664d3f4d20609688,how-important-family-is-to-people-in-life_v21_850x600.svg,7,14,538322776,71273 +7608,how-important-friends-are-to-people-in-life,StackedDiscreteBar,,13aec7437560476a1b5b93048ae49413,how-important-friends-are-to-people-in-life_v19_850x600.svg,6,21,293413992,74869 +7609,how-important-leisure-is-to-people-in-life,StackedDiscreteBar,,bd585f2937665fd1970fe1007b3ea386,how-important-leisure-is-to-people-in-life_v20_850x600.svg,7,19,275050944,75215 +7610,how-important-politics-is-in-your-life,StackedDiscreteBar,,e989f204b5895d99a048cd6cf9dd031b,how-important-politics-is-in-your-life_v20_850x600.svg,12,22,423842880,75469 +7611,how-important-work-is-to-people-in-life,StackedDiscreteBar,,55991c075cc4291625f3f5ab3c94eed0,how-important-work-is-to-people-in-life_v23_850x600.svg,6,17,532811864,75268 +7612,how-important-religion-is-in-your-life,StackedDiscreteBar,,8e9af5a18242ba3615926f07d3576aba,how-important-religion-is-in-your-life_v26_850x600.svg,11,18,585958744,74888 +7613,measles-coverage-vs-cases-worldwide,ScatterPlot,,efd811e8877542b93d4f0a3715797208,measles-coverage-vs-cases-worldwide_v22_850x600.svg,334,352,355421152,2804658 +7620,median-income-after-tax-lis,LineChart,,fe39aba4b016a791fcee4c46c6d70b76,median-income-after-tax-lis_v25_850x600.svg,2,13,275517320,27366 +7621,share-of-the-rural-and-urban-population-with-access-to-clean-fuels-for-cooking,LineChart,,85edacfdf1e17ddbca6b5d2efa4e044d,share-of-the-rural-and-urban-population-with-access-to-clean-fuels-for-cooking_v4_850x600.svg,29,37,426973984,252981 +7622,share-of-children-who-are-stunted-in-urban-and-rural-areas,LineChart,,8bc078bbdfa752719d188fc9311696f3,share-of-children-who-are-stunted-in-urban-and-rural-areas_v6_850x600.svg,4,13,532366352,20468 +7623,weather-forecast-spending,LineChart,,05f34c80015880bb91a0bb78812baa53,weather-forecast-spending_v3_850x600.svg,2,8,541707768,417 +7624,share-with-convenient-access-to-an-open-public-space,map,,9837ffce35ccbfb973daa3d4047ddbf7,share-with-convenient-access-to-an-open-public-space_v4_850x600.svg,2,14,590367376,3755 +7625,average-ammonium-concentration-in-freshwater,LineChart,,e1c77b1c317f887a8c33dbf8396f65dc,average-ammonium-concentration-in-freshwater_v7_850x600.svg,5,13,274725664,78852 +7626,bathing-sites-with-excellent-water-quality,LineChart,,f9201b638c6f9936f4fd2bc9e4fedab9,bathing-sites-with-excellent-water-quality_v9_850x600.svg,3,19,538923256,29071 +7627,average-nitrate-concentration-in-freshwater,LineChart,,a110012d8f6c7e4511f35d4cabfab622,average-nitrate-concentration-in-freshwater_v6_850x600.svg,5,14,274417704,80026 +7628,average-phosphorus-concentration-in-freshwater,LineChart,,a21e097cb207d1487dd75d247c3eac08,average-phosphorus-concentration-in-freshwater_v6_850x600.svg,4,17,427298424,66236 +7629,people-living-in-democracies-autocracies-simplified-lexical,StackedArea,,167589e2a6f91d6af04b04700cc4a698,people-living-in-democracies-autocracies-simplified-lexical_v65_850x600.svg,16,28,495991224,146808 +7630,support-political-climate-action,map,,0cb0fc48d0230c73ffe6149be07e7d30,support-political-climate-action_v7_850x600.svg,2,14,588903832,3524 +7631,support-public-action-climate,map,,9490a63eb7bc9b26b31750f4d52d8fc9,support-public-action-climate_v3_850x600.svg,4,17,542022472,3621 +7632,share-believe-climate,map,,7dc9006db7361f4a9dc65a702fd23dfc,share-believe-climate_v11_850x600.svg,2,11,291243440,1849 +7633,support-policies-climate,map,,4ed2994d621141262c15ad7d290c0009,support-policies-climate_v9_850x600.svg,3,13,430663248,1841 +7634,willingness-climate-action,ScatterPlot,,6c1999a00c504c9d48d756b9a6c96201,willingness-climate-action_v6_850x600.svg,5,21,592136000,16903 +7635,disaster-events-missing-data,LineChart,,b06b858e2e2064ef580e0651a20c1aa2,disaster-events-missing-data_v1_850x600.svg,1,6,503037216,248 +7638,annual-burned-area-by-landcover,StackedArea,,3b47163fc84d2c9aee4c0983bd7d0147,annual-burned-area-by-landcover_v11_850x600.svg,86,118,528369352,735426 +7639,share-urban-and-rural-population,LineChart,,c44e318a5a5d7186ade9ad2b87e06756,share-urban-and-rural-population_v27_850x600.svg,86,92,558384408,881531 +7652,sex-ratio-at-sixty-years-old,map,,1fe228d557ee39030f76e378299bfcc2,sex-ratio-at-sixty-years-old_v16_850x600.svg,56,83,294136616,624652 +7662,share-of-population-with-cancer-crude,map,,044352870a92af387b2e0aa7b304693b,share-of-population-with-cancer-crude_v18_850x600.svg,13,36,441429776,247191 +7663,alcohol-consumption-per-capita-men-women,ScatterPlot,,c672476a164fc2e6c214da21878e6fa7,alcohol-consumption-per-capita-men-women_v9_850x600.svg,944,1398,227917856,2540825 +7664,ai-performance-knowledge-tests-vs-dataset-size,ScatterPlot,,6473305dc9b8977d24f17d32a7bf76b6,ai-performance-knowledge-tests-vs-dataset-size_v60_850x600.svg,4,37,552671840,3014 +7665,ai-performance-knowledge-tests-vs-parameters,ScatterPlot,,490a9df58dc331d5ee649ae3097dbe42,ai-performance-knowledge-tests-vs-parameters_v63_850x600.svg,3,20,423901544,2821 +7670,annual-area-burnt-by-wildfires,StackedBar,,7c1ba40260ed8d2d949c2dd07c627866,annual-area-burnt-by-wildfires_v13_850x600.svg,12,29,432597104,126425 +7671,annual-number-of-fires,map,,689bc4b6bea273ef9ead9a4757e5fdd3,annual-number-of-fires_v10_850x600.svg,6,16,117111800,120510 +7672,share-of-the-total-land-area-burnt-by-wildfires-each-year,StackedBar,,8dd57608cea2f59caa8d5fa3da342e03,share-of-the-total-land-area-burnt-by-wildfires-each-year_v20_850x600.svg,11,35,432315096,130640 +7673,annual-carbon-dioxide-emissions,StackedBar,,8b9f72da719ed06ab5cbdcdef8a0ee3a,annual-carbon-dioxide-emissions_v12_850x600.svg,21,43,566017368,207282 +7674,annual-pm25-emissions-from-wildfires,StackedBar,,07684340cd08cc94162a1028e4c80b3d,annual-pm25-emissions-from-wildfires_v8_850x600.svg,21,50,439094248,202794 +7675,weekly-cumulative-share-of-the-area-burnt-by-wildfires-each-year,LineChart,,c579cf7a1b4fc5fa8d309bf36f43c75e,weekly-cumulative-share-of-the-area-burnt-by-wildfires-each-year_v14_850x600.svg,307,317,359000304,4683055 +7677,weekly-area-burnt-by-wildfires,LineChart,,6f0abc82822f7e8c3569cfb921972b19,weekly-area-burnt-by-wildfires_v8_850x600.svg,301,315,482615960,4563483 +7680,area-burned-wildfires-by-type,StackedBar,,03039ee9a209bdd2e720a55f36569ec3,area-burned-wildfires-by-type_v5_850x600.svg,53,73,544979208,589809 +7681,annual-area-burnt-by-wildfires-gwis,LineChart,,fa9e44486aa51adef0fd79a1fb233b36,annual-area-burnt-by-wildfires-gwis_v11_850x600.svg,7,27,569825952,151945 +7682,annual-area-burnt-per-wildfire,StackedBar,,32693e38907dcd5b426836f476deccf0,annual-area-burnt-per-wildfire_v14_850x600.svg,13,30,446643672,107201 +7683,annual-area-burnt-per-wildfire-vs-number-of-fires,ScatterPlot,,b69c2d62f3e28e02f4e3fb0cb01bd971,annual-area-burnt-per-wildfire-vs-number-of-fires_v7_850x600.svg,32,58,570705240,237396 +7684,cumulative-area-burnt-by-wildfires-by-week,LineChart,,d4008678d291f95cf3ed00216409cb04,cumulative-area-burnt-by-wildfires-by-week_v12_850x600.svg,340,352,175560272,4425154 +7686,cumulative-co-emissions-released-by-wildfires-by-week,LineChart,,2957354cc35207fc314767f063365238,cumulative-co-emissions-released-by-wildfires-by-week_v10_850x600.svg,565,582,573003128,8295201 +7689,maternal-mortality-rate-who-mdb,LineChart,,8d655c81b68a3729eefd58e42ce9bc58,maternal-mortality-rate-who-mdb_v44_850x600.svg,8,23,542939328,158140 +7690,births-by-age-of-mother,StackedArea,,f4d61657b4b6bc625093f1a1735e5ef3,births-by-age-of-mother_v7_850x600.svg,1578,1590,178293000,4873742 +7691,population-by-five-year-age-group,DiscreteBar,,d3a0d4a28036ff9ddef665e64c6b4a70,population-by-five-year-age-group_v11_850x600.svg,1326,1336,724736848,11863200 +7692,training-computation-vs-dataset-size-in-notable-ai-systems-by-researcher-affiliation,ScatterPlot,,57f72ada969a525525570383f1c597b0,training-computation-vs-dataset-size-in-notable-ai-systems-by-researcher-affiliation_v30_850x600.svg,720,1291,278734992,67960 +7693,parameters-vs-training-dataset-size-in-notable-ai-systems-by-researcher-affiliation,ScatterPlot,,0b123027d6c4416bf7cae38a461becdf,parameters-vs-training-dataset-size-in-notable-ai-systems-by-researcher-affiliation_v29_850x600.svg,615,1180,585373880,74233 +7694,cumulative-number-of-notable-ai-systems-by-domain,LineChart,,4352aaa752e7e720d1e91b915431131b,cumulative-number-of-notable-ai-systems-by-domain_v23_850x600.svg,2,14,436032376,23177 +7696,mobile-landline-subscriptions,LineChart,,be0a12ef96eba764d2649ee3de8cd115,mobile-landline-subscriptions_v3_850x600.svg,72,92,445911456,742688 +7697,age-group-with-the-largest-population,map,,256281fd94ee04c563398ceaffda19c3,age-group-with-the-largest-population_v12_850x600.svg,80,96,488980552,561789 +7698,male-population-by-age-group,DiscreteBar,,ffaa518c29f66c555e0598272bc04238,male-population-by-age-group_v4_850x600.svg,1334,1355,529936904,11732536 +7699,female-population-by-age-group,DiscreteBar,,f2ce860dccb0cdf84c7183861cd75c02,female-population-by-age-group_v4_850x600.svg,1458,1471,277063608,11763677 +7700,births-and-deaths,LineChart,,827a69be2f9f10bcc290d294bb7eabd8,births-and-deaths_v7_850x600.svg,192,207,195902032,1134098 +7701,maternal-mortality-ratio-vs-mean-daily-income,ScatterPlot,,f537724ada8cbf4e1982fc2eaa69792d,maternal-mortality-ratio-vs-mean-daily-income_v44_850x600.svg,907,1415,223779824,2144986 +7705,deaths-temperature-gasparrini,StackedDiscreteBar,,8922e6ca6706ba8e7b0640903f2efe96,deaths-temperature-gasparrini_v2_850x600.svg,2,10,207000336,1805 +7706,aviation-demand-efficiency,LineChart,,09dcabf9da454b491630d9071129acbe,aviation-demand-efficiency_v4_850x600.svg,2,25,205372800,6015 +7708,temp-deaths-zhao,StackedDiscreteBar,,dbf567b2763897fe3d8f6d6443c5f8bf,temp-deaths-zhao_v3_850x600.svg,1,9,581495024,1297 +7710,aviation-share-co2,LineChart,,c8cbdbd13f4bc4d96deb00b250dda67d,aviation-share-co2_v3_850x600.svg,2,7,577961984,2428 +7712,suicide-rate-who-mdb,LineChart,,63352410cf05c140f0439231c4296b1e,suicide-rate-who-mdb_v14_850x600.svg,7,22,583332992,154479 +7713,number-agri-environmental-policies,map,,ffb6904bfa2bd3de786cf3d37e673a39,number-agri-environmental-policies_v4_850x600.svg,3,14,211283896,5785 +7714,agri-environmental-policies-intensity,map,,8d42b6b4bf4e6fb2742e3e0e82b841aa,agri-environmental-policies-intensity_v2_850x600.svg,3,11,582360728,6087 +7715,agri-environmental-policies-gdp,ScatterPlot,,77e1d7693309fae03626abf762b4a413,agri-environmental-policies-gdp_v4_850x600.svg,49,81,210453184,234144 +7724,decadal-temperature-anomaly,map,,20202fec42387e8d03f6c6aaa2d063d6,decadal-temperature-anomaly_v10_850x600.svg,3,16,582785128,54469 +7727,fraction-of-countries-with-available-data-on-deaths-from-suicides-by-income-group,LineChart,,e1797a07224e6e53135eb04e6d8b9649,fraction-of-countries-with-available-data-on-deaths-from-suicides-by-income-group_v15_850x600.svg,3,16,577177840,25749 +7733,inequality-of-incomes-before-and-after-taxes-and-transfers-scatter-working-age-pop,ScatterPlot,,f0bafab808a101e4a643b6bf72a24c8f,inequality-of-incomes-before-and-after-taxes-and-transfers-scatter-working-age-pop_v64_850x600.svg,358,398,630950776,1886960 +7734,suicide-rates-among-young-people-who-mdb,LineChart,,1326e98580b59ec20b6402ded7a8a4cd,suicide-rates-among-young-people-who-mdb_v13_850x600.svg,29,56,226745784,453172 +7738,test-scores-ai-capabilities-relative-human-performance,LineChart,,1ee6b7b890fcea4c135768498e0c7317,test-scores-ai-capabilities-relative-human-performance_v15_850x600.svg,1,14,224762720,2140 +7739,reporting-of-mental-health-system-data-in-the-past-two-years,map,,0f6804e1e755cb11c0129cba3ecc8c25,reporting-of-mental-health-system-data-in-the-past-two-years_v11_850x600.svg,2,8,224740296,15327 +7741,seasonal-temp-anomaly-us,LineChart,,3758b238ac7334e8c4fd879851d4177e,seasonal-temp-anomaly-us_v7_850x600.svg,3,22,233681368,33108 +7742,share-in-extreme-poverty-including-and-excluding-china,LineChart,,05162e654d1291a45f6e0c8f4f779b39,share-in-extreme-poverty-including-and-excluding-china_v11_850x600.svg,3,12,235117608,91051 +7744,reduction-in-income-inequality-before-and-after-tax-among-total-vs-working-age-population,ScatterPlot,,fed0e48236623fef3f2dace51f0164f1,reduction-in-income-inequality-before-and-after-tax-among-total-vs-working-age-population_v64_850x600.svg,332,371,282522480,1890590 +7745,suicide-rates-source-comparison-crude,LineChart,,d7e920c3f85aced8cd55a683edb754c3,suicide-rates-source-comparison-crude_v30_850x600.svg,83,102,241420624,602427 +7746,suicide-rates-source-comparison,LineChart,,a5be1e9e1cda14c8f9fb9ec18d026671,suicide-rates-source-comparison_v34_850x600.svg,193,214,111367584,612876 +7751,cumulative-deaths-in-armed-conflicts,DiscreteBar,,ef9f990e952ae7bae80c3f109d9fef68,cumulative-deaths-in-armed-conflicts_v29_850x600.svg,3,8,594376760,5715 +7753,cumulative-deaths-in-armed-conflicts-by-country-region-and-type,StackedDiscreteBar,,765046f57939cfaf43263f8e479fc1dd,cumulative-deaths-in-armed-conflicts-by-country-region-and-type_v28_850x600.svg,5,12,594565112,22208 +7754,suicide-rates-among-young-women-who-mdb,LineChart,,f8e0d5f5bfd258f3f8c3b9f3a08951d9,suicide-rates-among-young-women-who-mdb_v25_850x600.svg,35,55,593626232,444739 +7755,suicide-rates-among-young-men-who-mdb,LineChart,,4175f06b341654e77f1f66693802ffac,suicide-rates-among-young-men-who-mdb_v26_850x600.svg,34,54,257930616,452246 +7760,pig-production-greenhouse-gas-emissions-vs-cost-to-animal-welfare,ScatterPlot,,3fd93badc74e20047109fe950b52b4cf,pig-production-greenhouse-gas-emissions-vs-cost-to-animal-welfare_v4_850x600.svg,3,17,284832664,10224 +7761,pig-land-welfare,ScatterPlot,,b6703307404339de2875024d8366ad0d,pig-land-welfare_v3_850x600.svg,3,19,597301776,9638 +7762,share-with-neurodevelopmental-disorders-by-type,DiscreteBar,,6580a77907fb1ac9f32c79d23b6c78d8,share-with-neurodevelopmental-disorders-by-type_v30_850x600.svg,61,70,300163136,978007 +7764,polio-vaccine-schedule,map,,e8eee18defcdada8d28ef36e7712bac8,polio-vaccine-schedule_v10_850x600.svg,2,9,595177520,8200 +7769,long-run-air-pollution,LineChart,,496ca1359f184b62437420970dc0d6c9,long-run-air-pollution_v4_850x600.svg,856,886,387570088,9601215 +7770,change-air-pollutant-emissions,LineChart,,35572860a0ca6bc55286948ea69cfd9e,change-air-pollutant-emissions_v3_850x600.svg,1062,1076,260318608,11201663 +7774,lives-saved-vaccines,DiscreteBar,,cb0f40c6d089ab9cd41761e304f39592,lives-saved-vaccines_v2_850x600.svg,3,10,606074864,3783 +7775,lives-saved-vaccines-region,LineChart,,1133d70347cf65995ac9898374375f14,lives-saved-vaccines-region_v2_850x600.svg,0,7,597117432,291 +7777,voter-turnout-of-voting-age-population,map,,773b85980df3b073634e81057566fd5e,voter-turnout-of-voting-age-population_v21_850x600.svg,4,72,116674672,72209 +7779,death-rates-disaster-gdp,ScatterPlot,,8d81d0ef2210fc0b8508112b10c9230c,death-rates-disaster-gdp_v4_850x600.svg,64,94,313903928,465956 +7780,affected-by-disasters-vs-gdp,ScatterPlot,,7a162c13f482d77611e43a80881f3bf7,affected-by-disasters-vs-gdp_v2_850x600.svg,68,100,620640064,461864 +7781,financial-contributions-toward-polio-eradication,StackedBar,,17b66b0ec874da03de269594bab43ba3,financial-contributions-toward-polio-eradication_v4_850x600.svg,3,19,724344640,5979 +7782,cumulative-deaths-in-armed-conflicts-by-type,DiscreteBar,,e20dcd5cc675fb31337a3609173b54e0,cumulative-deaths-in-armed-conflicts-by-type_v28_850x600.svg,6,12,726725528,27923 +7783,cases-of-paralytic-polio-from-wild-vs-vaccine-derived-viruses,LineChart,,8d5fe4e911a4b6bc7c411dec47eafe78,cases-of-paralytic-polio-from-wild-vs-vaccine-derived-viruses_v35_850x600.svg,45,52,733366144,411861 +7784,world-regions-according-to-maddison-project-database,map,,81550144e3bc880d32bcd8f9933d12f1,world-regions-according-to-maddison-project-database_v4_850x600.svg,58,344,167883192,988849 +7785,change-heat-death-rate,LineChart,,987f61413fd502338d0bde2ab5a8c3fe,change-heat-death-rate_v7_850x600.svg,5,19,313928832,22358 +7786,change-heat-deaths-gdp,ScatterPlot,,5f5128cede8e244129ed06efddd8ad63,change-heat-deaths-gdp_v8_850x600.svg,246,288,108737872,250717 +7787,heat-death-rate-vs-co2,ScatterPlot,,11fd6e8d30efd262c255f953fb7c3c87,heat-death-rate-vs-co2_v7_850x600.svg,478,725,793288264,917632 +7788,cumulative-lives-saved-vaccination,StackedBar,,dbf83eb975ef39b68eefc7b9f1c5c725,cumulative-lives-saved-vaccination_v2_850x600.svg,2,42,328842232,11602 +7789,infant-mortality-vaccines,LineChart,,b6ecd636677407eb5198a32c2d1da34c,infant-mortality-vaccines_v4_850x600.svg,1,9,227863672,3319 +7790,heat-deaths-vs-projected-death-rates,LineChart,,768b35f9da04551c8d704e6f7a05fe16,heat-deaths-vs-projected-death-rates_v7_850x600.svg,134,177,197016680,609425 +7791,warm-season-deaths-climate,StackedDiscreteBar,,e23a9dc525b4f5ac0a9c607e4d1b00bb,warm-season-deaths-climate_v2_850x600.svg,2,9,328323576,2599 +7792,natural-disasters-by-yearly-impact,LineChart,,30ab30d34e215bb956b5df2375d9af12,natural-disasters-by-yearly-impact_v3_850x600.svg,73,91,246317512,736187 +7793,natural-disasters-by-decadal-size,StackedBar,,7ea753f9d73d2978f99c4bfe05d0173b,natural-disasters-by-decadal-size_v3_850x600.svg,19,26,332799616,166204 +7794,natural-disasters-reported-by-deaths,LineChart,,ae9f06100bfc3a069ba62b5721be13da,natural-disasters-reported-by-deaths_v4_850x600.svg,2,17,330001200,18095 +7797,homelessness-rate-point-in-time-count,StackedDiscreteBar,,d7511e04b6c57d1c1411485ee33508b2,homelessness-rate-point-in-time-count_v44_850x600.svg,2,8,340237728,1351 +7798,homelessness-rate-flow-count,StackedDiscreteBar,,94657adaf1204adca4638d8e6dc24ca1,homelessness-rate-flow-count_v38_850x600.svg,2,13,337551864,571 +7799,share-of-women-homeless-point-in-time-count,StackedDiscreteBar,,cf321e60b7114f155a9a4cf1b4aaaaf6,share-of-women-homeless-point-in-time-count_v38_850x600.svg,2,12,338171240,841 +7800,share-of-women-homeless-flow-count,StackedDiscreteBar,,8ea19fe30fbbb2a35dbb7440d55cd08a,share-of-women-homeless-flow-count_v38_850x600.svg,1,7,244260680,333 +7801,reported-share-of-people-experiencing-homelessness,LineChart,,9842f419e95576a856f438d8ec58f82a,reported-share-of-people-experiencing-homelessness_v14_850x600.svg,1,6,344955424,3925 +7805,number-of-tsunamis,map,,69be46fb531569b98112201a1928ca3b,number-of-tsunamis_v7_850x600.svg,4,15,252880552,79858 +7806,tsunami-deaths,StackedBar,,3b63e38f6c8a60d5fa82512cd8780584,tsunami-deaths_v4_850x600.svg,4,98,356327400,40060 +7808,people-treated-for-river-blindness,map,,d89a751c28d14efdad0fe311080eb9df,people-treated-for-river-blindness_v9_850x600.svg,1,6,528848696,16694 +7809,number-treated-for-trachoma,map,,ddc9c9f18db80deafc7b591d559b9215,number-treated-for-trachoma_v9_850x600.svg,2,8,225076000,22823 +7810,population-at-risk-of-trachoma-vs-receiving-treatment,LineChart,,20c35aac304cb493a99147f18b225850,population-at-risk-of-trachoma-vs-receiving-treatment_v15_850x600.svg,4,17,246960568,55033 +7814,population-requiring-preventive-treatment-for-river-blindness,map,,7b9922847cfa287709304547ed396c60,population-requiring-preventive-treatment-for-river-blindness_v9_850x600.svg,2,15,543762840,9888 +7820,death-rates-in-armed-conflicts-by-region-1989-2022,DiscreteBar,,131c55418dd1e44fb7d341aadae85b84,death-rates-in-armed-conflicts-by-region-1989-2022_v34_850x600.svg,3,8,206383440,6423 +7825,land-animals-slaughtered-for-meat,StackedArea,,b372a44c92cfc8d7ce4679553d890006,land-animals-slaughtered-for-meat_v11_850x600.svg,212,223,288548952,3319866 +7830,countries-in-which-gender-marker-can-be-legally-changed,StackedArea,,964e7cd86cdaff0a2419925c2062c785,countries-in-which-gender-marker-can-be-legally-changed_v80_850x600.svg,3,8,203216552,10902 +7831,people-living-in-countries-in-which-gender-marker-can-be-legally-changed,StackedArea,,b4e51b7ae17c4ce229b86426d28f4fce,people-living-in-countries-in-which-gender-marker-can-be-legally-changed_v82_850x600.svg,2,17,217099688,12883 +7832,replacement-level-fertility,map,,8f535fc6397f8f7475fb9e425b75baba,replacement-level-fertility_v15_850x600.svg,78,104,217122040,553570 +7835,households-air-conditioning,LineChart,,23f4d0d98145bdaafb3b7afd4bffc8db,households-air-conditioning_v2_850x600.svg,1,6,223397992,319 +7837,funding-for-trachoma,LineChart,,c4879abdf63e0167b1bad31fc76bc9d9,funding-for-trachoma_v12_850x600.svg,2,11,215580312,591 +7838,air-conditioners-projections,StackedArea,,bcf3e99decbac709326b0be981c0c17d,air-conditioners-projections_v3_850x600.svg,3,12,121414176,20835 +7839,population-requiring-preventive-treatment-for-lymphatic-filariasis,map,,6e070855ee1c6932304295e9a83a819b,population-requiring-preventive-treatment-for-lymphatic-filariasis_v7_850x600.svg,2,9,216652088,38215 +7840,lymphatic-filariasis-treatment-coverage,map,,78d33917c62bbeecc68136e7d6d34f06,lymphatic-filariasis-treatment-coverage_v8_850x600.svg,2,8,121348144,28945 +7841,hidden-hunger-index-vs-share-of-energy-supply-from-cereals-roots-and-tubers,ScatterPlot,,1e2434d5eb46e39261bb349ee9d5834b,hidden-hunger-index-vs-share-of-energy-supply-from-cereals-roots-and-tubers_v20_850x600.svg,613,953,475601208,1968297 +7842,share-of-the-daily-calorie-supply-that-comes-from-animal-protein,map,,308eb98f4aeb0f1f93a4019482229065,share-of-the-daily-calorie-supply-that-comes-from-animal-protein_v7_850x600.svg,20,38,291182976,424152 +7843,number-of-people-with-blindness-due-to-each-cause,StackedArea,,220478cb343bd2a811502abe6034069f,number-of-people-with-blindness-due-to-each-cause_v14_850x600.svg,199,263,229032512,1777553 +7844,hearing-loss-by-age-group,LineChart,,ecd471f6f7c6edb3f6039bf68e806107,hearing-loss-by-age-group_v5_850x600.svg,88,92,243532488,1177427 +7845,share-top-1-before-tax-vs-gdp-per-capita,ScatterPlot,,0ffa7200d880c192ea3faac1a594d251,share-top-1-before-tax-vs-gdp-per-capita_v79_850x600.svg,732,1111,280894344,2277310 +7846,suicide-rate-male-female-who-mdb,ScatterPlot,,7736c8d53d422e74518d5ef5c2bf1e2a,suicide-rate-male-female-who-mdb_v20_850x600.svg,781,1095,449911536,2790179 +7847,suicide-rates-by-age-who-mdb,LineChart,,675d9d9d77afa2efce1a81d89cf9da78,suicide-rates-by-age-who-mdb_v16_850x600.svg,157,166,151130432,2244996 +7848,annual-research-development-funding-for-neglected-tropical-diseases,LineChart,,7096c5c4397f3dbe8d6b3492e11c4c9f,annual-research-development-funding-for-neglected-tropical-diseases_v12_850x600.svg,9,23,219024192,10447 +7849,annual-research-and-development-funding-for-technologies-infectious-diseases,LineChart,,1de8a907c3f80445a0ec2e36cb641b8f,annual-research-and-development-funding-for-technologies-infectious-diseases_v8_850x600.svg,3,45,219499480,6419 +7850,population-requiring-preventive-chemotherapy-for-schistosomiasis,map,,479ff847e75278b1d41e00740d490165,population-requiring-preventive-chemotherapy-for-schistosomiasis_v8_850x600.svg,4,11,248074632,23035 +7851,schistosomiasis-treatment-coverage,map,,59b39e5ef861a88e62fd1fd4ff7e2fa1,schistosomiasis-treatment-coverage_v7_850x600.svg,1,6,303128344,16432 +7854,number-of-people-with-mild-or-severe-anemia-from-ntds,DiscreteBar,,d0d8c501c980f240516c6b3a6b4fc991,number-of-people-with-mild-or-severe-anemia-from-ntds_v4_850x600.svg,71,77,237001352,866836 +7855,suicide-rate-for-15--to-49-year-olds,LineChart,,8bb130e681211d14a3731f33e6106ac1,suicide-rate-for-15--to-49-year-olds_v10_850x600.svg,13,26,240294288,319735 +7856,number-suicide-deaths-source-comparison,LineChart,,11cbe65e4a9d5467735f358677c1155e,number-suicide-deaths-source-comparison_v39_850x600.svg,49,70,300008656,587019 +7861,hardware-and-energy-cost-to-train-notable-ai-systems,ScatterPlot,,75019ff66feae78cc1e82dbee20bbcb9,hardware-and-energy-cost-to-train-notable-ai-systems_v7_850x600.svg,6,23,249645000,4299 +7862,gender-affirming-care,map,,545caae356a8ec27bc0ed40113df52cf,gender-affirming-care_v13_850x600.svg,7,21,247167360,209449 +7863,intersex-infant-surgery,map,,a46478e5027d14cf01fa00c05614024d,intersex-infant-surgery_v15_850x600.svg,2,13,247825232,8928 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+7917,materials-low-carbon-electricity,StackedDiscreteBar,,8f36acb89d408872f774f9aa35675e67,materials-low-carbon-electricity_v11_850x600.svg,4,21,248583056,6504 +7918,mining-requirements-electricity-sources,StackedDiscreteBar,,08314fdcf4bbd5df8c3ac763271e7258,mining-requirements-electricity-sources_v11_850x600.svg,1,6,803536376,535 +7921,country-level-monthly-temperature-anomalies,StackedBar,,e0856a7924de1a2609562970a96bfd27,country-level-monthly-temperature-anomalies_v11_850x600.svg,571,647,355724480,6845483 +7922,summer-temperature-anomalies,StackedBar,,f895632f2df5569b8d28b15c95aaceb8,summer-temperature-anomalies_v15_850x600.svg,177,206,183080256,1716393 +7923,winter-temperature-anomalies,StackedBar,,d01555ec7c2ae700ef0333552786b740,winter-temperature-anomalies_v13_850x600.svg,193,225,829648904,1709315 +7924,autumn-temperature-anomalies,StackedBar,,280f44021f79457fd5a008cb21b6d6e6,autumn-temperature-anomalies_v14_850x600.svg,137,168,419435432,1700315 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