country_name
large_stringclasses 265
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large_stringclasses 265
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large_stringlengths 10
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large_stringlengths 6
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int32 1.96k
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|---|---|---|---|---|---|
OECD members | OED | Population ages 35-39, male (% of male population) | SP.POP.3539.MA.5Y | 1,960 | 6.593637147451447 |
OECD members | OED | Population ages 40-44, female (% of female population) | SP.POP.4044.FE.5Y | 1,960 | 5.516790148079634 |
OECD members | OED | Population ages 40-44, male (% of male population) | SP.POP.4044.MA.5Y | 1,960 | 5.299792712843329 |
OECD members | OED | Population ages 45-49, female (% of female population) | SP.POP.4549.FE.5Y | 1,960 | 5.9292625442939295 |
OECD members | OED | Population ages 45-49, male (% of male population) | SP.POP.4549.MA.5Y | 1,960 | 5.688374363720133 |
OECD members | OED | Population ages 50-54, female (% of female population) | SP.POP.5054.FE.5Y | 1,960 | 5.547263595207771 |
OECD members | OED | Population ages 50-54, male (% of male population) | SP.POP.5054.MA.5Y | 1,960 | 5.391876385954125 |
OECD members | OED | Population ages 55-59, female (% of female population) | SP.POP.5559.FE.5Y | 1,960 | 4.90924465858011 |
OECD members | OED | Population ages 55-59, male (% of male population) | SP.POP.5559.MA.5Y | 1,960 | 4.70347958911146 |
OECD members | OED | Population ages 60-64, female (% of female population) | SP.POP.6064.FE.5Y | 1,960 | 4.2250942861546505 |
OECD members | OED | Population ages 60-64, male (% of male population) | SP.POP.6064.MA.5Y | 1,960 | 3.726968949977746 |
OECD members | OED | Population ages 65 and above (% of total population) | SP.POP.65UP.TO.ZS | 1,960 | 8.222690526637056 |
OECD members | OED | Population ages 65 and above, female | SP.POP.65UP.FE.IN | 1,960 | 38650943.0 |
OECD members | OED | Population ages 65 and above, female (% of female population) | SP.POP.65UP.FE.ZS | 1,960 | 9.324190874660317 |
OECD members | OED | Population ages 65 and above, male | SP.POP.65UP.MA.IN | 1,960 | 27918368.0 |
OECD members | OED | Population ages 65 and above, male (% of male population) | SP.POP.65UP.MA.ZS | 1,960 | 7.066915079584047 |
OECD members | OED | Population ages 65 and above, total | SP.POP.65UP.TO | 1,960 | 66569315.0 |
OECD members | OED | Population ages 65-69, female (% of female population) | SP.POP.6569.FE.5Y | 1,960 | 3.441604942389382 |
OECD members | OED | Population ages 65-69, male (% of male population) | SP.POP.6569.MA.5Y | 1,960 | 2.7900861708966205 |
OECD members | OED | Population ages 70-74, female (% of female population) | SP.POP.7074.FE.5Y | 1,960 | 2.662015681162128 |
OECD members | OED | Population ages 70-74, male (% of male population) | SP.POP.7074.MA.5Y | 1,960 | 2.0514494273610375 |
OECD members | OED | Population ages 75-79, female (% of female population) | SP.POP.7579.FE.5Y | 1,960 | 1.7644285612602302 |
OECD members | OED | Population ages 75-79, male (% of male population) | SP.POP.7579.MA.5Y | 1,960 | 1.2863146563882408 |
OECD members | OED | Population ages 80 and above, female (% of female population) | SP.POP.80UP.FE.5Y | 1,960 | 1.4561416898485782 |
OECD members | OED | Population ages 80 and above, male (% of male population) | SP.POP.80UP.MA.5Y | 1,960 | 0.9390648249381512 |
OECD members | OED | Population in the largest city (% of urban population) | EN.URB.LCTY.UR.ZS | 1,960 | 17.868559099658363 |
OECD members | OED | Population in urban agglomerations of more than 1 million (% of total population) | EN.URB.MCTY.TL.ZS | 1,960 | 26.114521778894044 |
OECD members | OED | Population, female | SP.POP.TOTL.FE.IN | 1,960 | 414523323.0 |
OECD members | OED | Population, female (% of total population) | SP.POP.TOTL.FE.ZS | 1,960 | 51.20222587886098 |
OECD members | OED | Population, male | SP.POP.TOTL.MA.IN | 1,960 | 395057343.0 |
OECD members | OED | Population, male (% of total population) | SP.POP.TOTL.MA.ZS | 1,960 | 48.79777412113901 |
OECD members | OED | Population, total | SP.POP.TOTL | 1,960 | 809580666.0 |
OECD members | OED | Portfolio equity, net inflows (BoP, current US$) | BX.PEF.TOTL.CD.WD | 1,960 | 162097034.5219168 |
OECD members | OED | Refugees under the mandate of the UNHCR by country or territory of asylum | SM.POP.RHCR.EA | 1,960 | 1350964.0 |
OECD members | OED | Rural population | SP.RUR.TOTL | 1,960 | 306497182.0 |
OECD members | OED | Rural population (% of total population) | SP.RUR.TOTL.ZS | 1,960 | 37.85875802307019 |
OECD members | OED | Sex ratio at birth (male births per female births) | SP.POP.BRTH.MF | 1,960 | 1.052905275985541 |
OECD members | OED | Survival to age 65, female (% of cohort) | SP.DYN.TO65.FE.ZS | 1,960 | 75.74221458172985 |
OECD members | OED | Survival to age 65, male (% of cohort) | SP.DYN.TO65.MA.ZS | 1,960 | 63.34925902528955 |
OECD members | OED | Total fisheries production (metric tons) | ER.FSH.PROD.MT | 1,960 | 18929324.0 |
OECD members | OED | Urban population | SP.URB.TOTL | 1,960 | 503083484.0 |
OECD members | OED | Urban population (% of total population) | SP.URB.TOTL.IN.ZS | 1,960 | 62.14124197692982 |
Other small states | OSS | Adolescent fertility rate (births per 1,000 women ages 15-19) | SP.ADO.TFRT | 1,960 | 77.85601804355454 |
Other small states | OSS | Age dependency ratio (% of working-age population) | SP.POP.DPND | 1,960 | 74.65975285571626 |
Other small states | OSS | Age dependency ratio, old (% of working-age population) | SP.POP.DPND.OL | 1,960 | 10.015375154727773 |
Other small states | OSS | Age dependency ratio, young (% of working-age population) | SP.POP.DPND.YG | 1,960 | 63.28766714488488 |
Other small states | OSS | Aquaculture production (metric tons) | ER.FSH.AQUA.MT | 1,960 | 0.0 |
Other small states | OSS | Arms imports (SIPRI trend indicator values) | MS.MIL.MPRT.KD | 1,960 | 20000000.0 |
Other small states | OSS | Birth rate, crude (per 1,000 people) | SP.DYN.CBRT.IN | 1,960 | 33.48927170488013 |
Other small states | OSS | Broad money (% of GDP) | FM.LBL.BMNY.GD.ZS | 1,960 | 33.05122693706221 |
Other small states | OSS | Capture fisheries production (metric tons) | ER.FSH.CAPT.MT | 1,960 | 668521.0 |
Other small states | OSS | Claims on central government, etc. (% GDP) | FS.AST.CGOV.GD.ZS | 1,960 | -0.3657899035996273 |
Other small states | OSS | Death rate, crude (per 1,000 people) | SP.DYN.CDRT.IN | 1,960 | 14.605432148475145 |
Other small states | OSS | Domestic credit to private sector (% of GDP) | FS.AST.PRVT.GD.ZS | 1,960 | 35.933243711700236 |
Other small states | OSS | Domestic credit to private sector by banks (% of GDP) | FD.AST.PRVT.GD.ZS | 1,960 | 35.826521910272064 |
Other small states | OSS | Fertility rate, total (births per woman) | SP.DYN.TFRT.IN | 1,960 | 4.510512078138912 |
Other small states | OSS | International migrant stock, total | SM.POP.TOTL | 1,960 | 298708.0 |
Other small states | OSS | Life expectancy at birth, female (years) | SP.DYN.LE00.FE.IN | 1,960 | 60.033745412655726 |
Other small states | OSS | Life expectancy at birth, male (years) | SP.DYN.LE00.MA.IN | 1,960 | 54.41404203248953 |
Other small states | OSS | Life expectancy at birth, total (years) | SP.DYN.LE00.IN | 1,960 | 57.12102584345727 |
Other small states | OSS | Merchandise exports (current US$) | TX.VAL.MRCH.CD.WT | 1,960 | 577511600.7961099 |
Other small states | OSS | Merchandise exports by the reporting economy (current US$) | TX.VAL.MRCH.WL.CD | 1,960 | 145300000.0 |
Other small states | OSS | Merchandise exports by the reporting economy, residual (% of total merchandise exports) | TX.VAL.MRCH.RS.ZS | 1,960 | 0.0 |
Other small states | OSS | Merchandise exports to economies in the Arab World (% of total merchandise exports) | TX.VAL.MRCH.AL.ZS | 1,960 | 1.445285615966965 |
Other small states | OSS | Merchandise exports to high-income economies (% of total merchandise exports) | TX.VAL.MRCH.HI.ZS | 1,960 | 95.59532002752925 |
Other small states | OSS | Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports) | TX.VAL.MRCH.R1.ZS | 1,960 | 0.7570543702684102 |
Other small states | OSS | Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports) | TX.VAL.MRCH.R2.ZS | 1,960 | 0.41293874741913283 |
Other small states | OSS | Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports) | TX.VAL.MRCH.R3.ZS | 1,960 | 1.032346868547832 |
Other small states | OSS | Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports) | TX.VAL.MRCH.R4.ZS | 1,960 | 1.2388162422573985 |
Other small states | OSS | Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports) | TX.VAL.MRCH.R5.ZS | 1,960 | 0.3441156228492774 |
Other small states | OSS | Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) | TX.VAL.MRCH.R6.ZS | 1,960 | 0.6194081211286993 |
Other small states | OSS | Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports) | TX.VAL.MRCH.OR.ZS | 1,960 | 3.4411562284927735 |
Other small states | OSS | Merchandise exports to low- and middle-income economies within region (% of total merchandise exports) | TX.VAL.MRCH.WR.ZS | 1,960 | 0.9635237439779766 |
Other small states | OSS | Merchandise imports (current US$) | TM.VAL.MRCH.CD.WT | 1,960 | 706995472.0632949 |
Other small states | OSS | Merchandise imports by the reporting economy (current US$) | TM.VAL.MRCH.WL.CD | 1,960 | 311710000.0 |
Other small states | OSS | Merchandise imports by the reporting economy, residual (% of total merchandise imports) | TM.VAL.MRCH.RS.ZS | 1,960 | 0.09624330307015898 |
Other small states | OSS | Merchandise imports from economies in the Arab World (% of total merchandise imports) | TM.VAL.MRCH.AL.ZS | 1,960 | 1.860703859356453 |
Other small states | OSS | Merchandise imports from high-income economies (% of total merchandise imports) | TM.VAL.MRCH.HI.ZS | 1,960 | 89.31699335921209 |
Other small states | OSS | Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports) | TM.VAL.MRCH.R1.ZS | 1,960 | 2.6627313849411314 |
Other small states | OSS | Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports) | TM.VAL.MRCH.R2.ZS | 1,960 | 0.6095409194443554 |
Other small states | OSS | Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports) | TM.VAL.MRCH.R3.ZS | 1,960 | 0.8982708286548395 |
Other small states | OSS | Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports) | TM.VAL.MRCH.R4.ZS | 1,960 | 2.277758172660486 |
Other small states | OSS | Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports) | TM.VAL.MRCH.R5.ZS | 1,960 | 1.4757306470758076 |
Other small states | OSS | Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports) | TM.VAL.MRCH.R6.ZS | 1,960 | 2.6627313849411314 |
Other small states | OSS | Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) | TM.VAL.MRCH.OR.ZS | 1,960 | 7.122004427191941 |
Other small states | OSS | Merchandise imports from low- and middle-income economies within region (% of total merchandise imports) | TM.VAL.MRCH.WR.ZS | 1,960 | 3.464758910525809 |
Other small states | OSS | Merchandise trade (% of GDP) | TG.VAL.TOTL.GD.ZS | 1,960 | 68.71166654261964 |
Other small states | OSS | Mobile cellular subscriptions | IT.CEL.SETS | 1,960 | 0.0 |
Other small states | OSS | Mobile cellular subscriptions (per 100 people) | IT.CEL.SETS.P2 | 1,960 | 0.0 |
Other small states | OSS | Monetary Sector credit to private sector (% GDP) | FM.AST.PRVT.GD.ZS | 1,960 | 35.933243711700236 |
Other small states | OSS | Mortality rate, adult, female (per 1,000 female adults) | SP.DYN.AMRT.FE | 1,960 | 236.9330657054783 |
Other small states | OSS | Mortality rate, adult, male (per 1,000 male adults) | SP.DYN.AMRT.MA | 1,960 | 338.52583256941557 |
Other small states | OSS | Net migration | SM.POP.NETM | 1,960 | -5814.0 |
Other small states | OSS | Population ages 00-04, female (% of female population) | SP.POP.0004.FE.5Y | 1,960 | 13.372366075538189 |
Other small states | OSS | Population ages 00-04, male (% of male population) | SP.POP.0004.MA.5Y | 1,960 | 14.610378728817851 |
Other small states | OSS | Population ages 0-14 (% of total population) | SP.POP.0014.TO.ZS | 1,960 | 36.518497375709316 |
Other small states | OSS | Population ages 0-14, female | SP.POP.0014.FE.IN | 1,960 | 983865.0 |
Other small states | OSS | Population ages 0-14, female (% of female population) | SP.POP.0014.FE.ZS | 1,960 | 34.97003494072358 |
Other small states | OSS | Population ages 0-14, male | SP.POP.0014.MA.IN | 1,960 | 1009626.0 |
Other small states | OSS | Population ages 0-14, male (% of male population) | SP.POP.0014.MA.ZS | 1,960 | 38.165320856668835 |
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