country_name
large_stringclasses 265
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large_stringclasses 265
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large_stringlengths 6
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int32 1.96k
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|---|---|---|---|---|---|
Middle income | MIC | Population ages 25-29, female (% of female population) | SP.POP.2529.FE.5Y | 1,960 | 7.497468576329191 |
Middle income | MIC | Population ages 25-29, male (% of male population) | SP.POP.2529.MA.5Y | 1,960 | 7.640558291791895 |
Middle income | MIC | Population ages 30-34, female (% of female population) | SP.POP.3034.FE.5Y | 1,960 | 6.641715706651964 |
Middle income | MIC | Population ages 30-34, male (% of male population) | SP.POP.3034.MA.5Y | 1,960 | 6.761940103596988 |
Middle income | MIC | Population ages 35-39, female (% of female population) | SP.POP.3539.FE.5Y | 1,960 | 5.739228283403261 |
Middle income | MIC | Population ages 35-39, male (% of male population) | SP.POP.3539.MA.5Y | 1,960 | 5.781817483150225 |
Middle income | MIC | Population ages 40-44, female (% of female population) | SP.POP.4044.FE.5Y | 1,960 | 4.887764269425102 |
Middle income | MIC | Population ages 40-44, male (% of male population) | SP.POP.4044.MA.5Y | 1,960 | 4.900143599753509 |
Middle income | MIC | Population ages 45-49, female (% of female population) | SP.POP.4549.FE.5Y | 1,960 | 4.375500269394602 |
Middle income | MIC | Population ages 45-49, male (% of male population) | SP.POP.4549.MA.5Y | 1,960 | 4.321953980939992 |
Middle income | MIC | Population ages 50-54, female (% of female population) | SP.POP.5054.FE.5Y | 1,960 | 3.79063769851159 |
Middle income | MIC | Population ages 50-54, male (% of male population) | SP.POP.5054.MA.5Y | 1,960 | 3.6568837835038597 |
Middle income | MIC | Population ages 55-59, female (% of female population) | SP.POP.5559.FE.5Y | 1,960 | 3.13361903412554 |
Middle income | MIC | Population ages 55-59, male (% of male population) | SP.POP.5559.MA.5Y | 1,960 | 2.9514573201967864 |
Middle income | MIC | Population ages 60-64, female (% of female population) | SP.POP.6064.FE.5Y | 1,960 | 2.42036533841208 |
Middle income | MIC | Population ages 60-64, male (% of male population) | SP.POP.6064.MA.5Y | 1,960 | 2.1986341886460385 |
Middle income | MIC | Population ages 65 and above (% of total population) | SP.POP.65UP.TO.ZS | 1,960 | 3.6338192620318313 |
Middle income | MIC | Population ages 65 and above, female | SP.POP.65UP.FE.IN | 1,960 | 39392128.0 |
Middle income | MIC | Population ages 65 and above, female (% of female population) | SP.POP.65UP.FE.ZS | 1,960 | 4.056898877674167 |
Middle income | MIC | Population ages 65 and above, male | SP.POP.65UP.MA.IN | 1,960 | 32204771.0 |
Middle income | MIC | Population ages 65 and above, male (% of male population) | SP.POP.65UP.MA.ZS | 1,960 | 3.2227259082765976 |
Middle income | MIC | Population ages 65 and above, total | SP.POP.65UP.TO | 1,960 | 71596902.0 |
Middle income | MIC | Population ages 65-69, female (% of female population) | SP.POP.6569.FE.5Y | 1,960 | 1.743261428717069 |
Middle income | MIC | Population ages 65-69, male (% of male population) | SP.POP.6569.MA.5Y | 1,960 | 1.4958498243358918 |
Middle income | MIC | Population ages 70-74, female (% of female population) | SP.POP.7074.FE.5Y | 1,960 | 1.2111116197498606 |
Middle income | MIC | Population ages 70-74, male (% of male population) | SP.POP.7074.MA.5Y | 1,960 | 0.9620431872302309 |
Middle income | MIC | Population ages 75-79, female (% of female population) | SP.POP.7579.FE.5Y | 1,960 | 0.6658463995839544 |
Middle income | MIC | Population ages 75-79, male (% of male population) | SP.POP.7579.MA.5Y | 1,960 | 0.48270904062908115 |
Middle income | MIC | Population ages 80 and above, female (% of female population) | SP.POP.80UP.FE.5Y | 1,960 | 0.43667942962328254 |
Middle income | MIC | Population ages 80 and above, male (% of male population) | SP.POP.80UP.MA.5Y | 1,960 | 0.28212385608139656 |
Middle income | MIC | Population in the largest city (% of urban population) | EN.URB.LCTY.UR.ZS | 1,960 | 17.283067513618466 |
Middle income | MIC | Population in urban agglomerations of more than 1 million (% of total population) | EN.URB.MCTY.TL.ZS | 1,960 | 9.798151984083683 |
Middle income | MIC | Population, female | SP.POP.TOTL.FE.IN | 1,960 | 970991059.0 |
Middle income | MIC | Population, female (% of total population) | SP.POP.TOTL.FE.ZS | 1,960 | 49.28154839616233 |
Middle income | MIC | Population, male | SP.POP.TOTL.MA.IN | 1,960 | 999302266.0 |
Middle income | MIC | Population, male (% of total population) | SP.POP.TOTL.MA.ZS | 1,960 | 50.71845160383767 |
Middle income | MIC | Population, total | SP.POP.TOTL | 1,960 | 1970293325.0 |
Middle income | MIC | Portfolio equity, net inflows (BoP, current US$) | BX.PEF.TOTL.CD.WD | 1,960 | 0.0 |
Middle income | MIC | Refugees under the mandate of the UNHCR by country or territory of asylum | SM.POP.RHCR.EA | 1,960 | 5900.0 |
Middle income | MIC | Refugees under the mandate of the UNHCR by country or territory of origin | SM.POP.RHCR.EO | 1,960 | 150000.0 |
Middle income | MIC | Refugees under the mandate of the UNRWA by country or territory of asylum | SM.POP.RRWA.EA | 1,960 | 1019709.0 |
Middle income | MIC | Refugees under the mandate of the UNRWA by country or territory of origin | SM.POP.RRWA.EO | 1,960 | 1136487.0 |
Middle income | MIC | Rural population | SP.RUR.TOTL | 1,960 | 1533330494.0 |
Middle income | MIC | Rural population (% of total population) | SP.RUR.TOTL.ZS | 1,960 | 77.86136692183563 |
Middle income | MIC | Sex ratio at birth (male births per female births) | SP.POP.BRTH.MF | 1,960 | 1.0532098896688113 |
Middle income | MIC | Survival to age 65, female (% of cohort) | SP.DYN.TO65.FE.ZS | 1,960 | 38.15152835057631 |
Middle income | MIC | Survival to age 65, male (% of cohort) | SP.DYN.TO65.MA.ZS | 1,960 | 31.851734447379517 |
Middle income | MIC | Total fisheries production (metric tons) | ER.FSH.PROD.MT | 1,960 | 13527807.01 |
Middle income | MIC | Trade (% of GDP) | NE.TRD.GNFS.ZS | 1,960 | 15.755752585078852 |
Middle income | MIC | Urban population | SP.URB.TOTL | 1,960 | 435977985.0 |
Middle income | MIC | Urban population (% of total population) | SP.URB.TOTL.IN.ZS | 1,960 | 22.13863307816439 |
North America | NAC | Adolescent fertility rate (births per 1,000 women ages 15-19) | SP.ADO.TFRT | 1,960 | 84.94079367393763 |
North America | NAC | Age dependency ratio (% of working-age population) | SP.POP.DPND | 1,960 | 67.26164264238041 |
North America | NAC | Age dependency ratio, old (% of working-age population) | SP.POP.DPND.OL | 1,960 | 14.586626780332894 |
North America | NAC | Age dependency ratio, young (% of working-age population) | SP.POP.DPND.YG | 1,960 | 52.668670667229456 |
North America | NAC | Aquaculture production (metric tons) | ER.FSH.AQUA.MT | 1,960 | 107396.0 |
North America | NAC | Arms exports (SIPRI trend indicator values) | MS.MIL.XPRT.KD | 1,960 | 6231000000.0 |
North America | NAC | Arms imports (SIPRI trend indicator values) | MS.MIL.MPRT.KD | 1,960 | 392000000.0 |
North America | NAC | Birth rate, crude (per 1,000 people) | SP.DYN.CBRT.IN | 1,960 | 23.9710375791544 |
North America | NAC | Broad money (% of GDP) | FM.LBL.BMNY.GD.ZS | 1,960 | 58.575874797722406 |
North America | NAC | Capture fisheries production (metric tons) | ER.FSH.CAPT.MT | 1,960 | 3643190.0 |
North America | NAC | Claims on central government, etc. (% GDP) | FS.AST.CGOV.GD.ZS | 1,960 | 22.764373286019364 |
North America | NAC | Death rate, crude (per 1,000 people) | SP.DYN.CDRT.IN | 1,960 | 9.346527555409063 |
North America | NAC | Domestic credit provided by financial sector (% of GDP) | FS.AST.DOMS.GD.ZS | 1,960 | 101.32869426794477 |
North America | NAC | Domestic credit to private sector (% of GDP) | FS.AST.PRVT.GD.ZS | 1,960 | 67.38736775785848 |
North America | NAC | Domestic credit to private sector by banks (% of GDP) | FD.AST.PRVT.GD.ZS | 1,960 | 37.57670283554122 |
North America | NAC | Employment to population ratio, 15+, female (%) (national estimate) | SL.EMP.TOTL.SP.FE.NE.ZS | 1,960 | 35.5 |
North America | NAC | Employment to population ratio, 15+, male (%) (national estimate) | SL.EMP.TOTL.SP.MA.NE.ZS | 1,960 | 78.9 |
North America | NAC | Employment to population ratio, 15+, total (%) (national estimate) | SL.EMP.TOTL.SP.NE.ZS | 1,960 | 56.1 |
North America | NAC | Employment to population ratio, ages 15-24, female (%) (national estimate) | SL.EMP.1524.SP.FE.NE.ZS | 1,960 | 38.2 |
North America | NAC | Employment to population ratio, ages 15-24, male (%) (national estimate) | SL.EMP.1524.SP.MA.NE.ZS | 1,960 | 63.400000000000006 |
North America | NAC | Employment to population ratio, ages 15-24, total (%) (national estimate) | SL.EMP.1524.SP.NE.ZS | 1,960 | 50.1 |
North America | NAC | Fertility rate, total (births per woman) | SP.DYN.TFRT.IN | 1,960 | 3.6681337456078813 |
North America | NAC | Fixed telephone subscriptions | IT.MLT.MAIN | 1,960 | 54265802.0 |
North America | NAC | Fixed telephone subscriptions (per 100 people) | IT.MLT.MAIN.P2 | 1,960 | 27.951897173068314 |
North America | NAC | GDP (constant 2015 US$) | NY.GDP.MKTP.KD | 1,960 | 3709291339395.3623 |
North America | NAC | GDP (current US$) | NY.GDP.MKTP.CD | 1,960 | 582624755153.8474 |
North America | NAC | GDP per capita (constant 2015 US$) | NY.GDP.PCAP.KD | 1,960 | 18675.075302095902 |
North America | NAC | GDP per capita (current US$) | NY.GDP.PCAP.CD | 1,960 | 2933.326120761624 |
North America | NAC | GNI (current US$) | NY.GNP.MKTP.CD | 1,960 | 583985305578.9523 |
North America | NAC | Hospital beds (per 1,000 people) | SH.MED.BEDS.ZS | 1,960 | 8.929438968896822 |
North America | NAC | Inflation, consumer prices (annual %) | FP.CPI.TOTL.ZG | 1,960 | 1.408335819225915 |
North America | NAC | International migrant stock, total | SM.POP.TOTL | 1,960 | 13600652.0 |
North America | NAC | Labor force participation rate for ages 15-24, female (%) (national estimate) | SL.TLF.ACTI.1524.FE.NE.ZS | 1,960 | 42.8 |
North America | NAC | Labor force participation rate for ages 15-24, male (%) (national estimate) | SL.TLF.ACTI.1524.MA.NE.ZS | 1,960 | 71.7 |
North America | NAC | Labor force participation rate for ages 15-24, total (%) (national estimate) | SL.TLF.ACTI.1524.NE.ZS | 1,960 | 56.4 |
North America | NAC | Labor force participation rate, female (% of female population ages 15+) (national estimate) | SL.TLF.CACT.FE.NE.ZS | 1,960 | 37.7 |
North America | NAC | Labor force participation rate, male (% of male population ages 15+) (national estimate) | SL.TLF.CACT.MA.NE.ZS | 1,960 | 83.3 |
North America | NAC | Labor force participation rate, total (% of total population ages 15+) (national estimate) | SL.TLF.CACT.NE.ZS | 1,960 | 59.4 |
North America | NAC | Life expectancy at birth, female (years) | SP.DYN.LE00.FE.IN | 1,960 | 73.19140622085132 |
North America | NAC | Life expectancy at birth, male (years) | SP.DYN.LE00.MA.IN | 1,960 | 66.75316371454178 |
North America | NAC | Life expectancy at birth, total (years) | SP.DYN.LE00.IN | 1,960 | 69.89288094474307 |
North America | NAC | Merchandise exports (current US$) | TX.VAL.MRCH.CD.WT | 1,960 | 25447209778.38392 |
North America | NAC | Merchandise exports by the reporting economy (current US$) | TX.VAL.MRCH.WL.CD | 1,960 | 25009300000.0 |
North America | NAC | Merchandise exports by the reporting economy, residual (% of total merchandise exports) | TX.VAL.MRCH.RS.ZS | 1,960 | 2.412302623424086 |
North America | NAC | Merchandise exports to economies in the Arab World (% of total merchandise exports) | TX.VAL.MRCH.AL.ZS | 1,960 | 2.1675936551602804 |
North America | NAC | Merchandise exports to high-income economies (% of total merchandise exports) | TX.VAL.MRCH.HI.ZS | 1,960 | 74.86535008976661 |
North America | NAC | Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports) | TX.VAL.MRCH.R1.ZS | 1,960 | 2.4722803117240386 |
North America | NAC | Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports) | TX.VAL.MRCH.R2.ZS | 1,960 | 0.719732259599429 |
North America | NAC | Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports) | TX.VAL.MRCH.R3.ZS | 1,960 | 11.53770797263418 |
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