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|---|---|---|---|---|---|
South Asia | SAS | Merchandise imports (current US$) | TM.VAL.MRCH.CD.WT | 1,960 | 4306770834.160468 |
South Asia | SAS | Merchandise imports by the reporting economy (current US$) | TM.VAL.MRCH.WL.CD | 1,960 | 3114400000.0 |
South Asia | SAS | Merchandise imports by the reporting economy, residual (% of total merchandise imports) | TM.VAL.MRCH.RS.ZS | 1,960 | 7.65536151751742e-15 |
South Asia | SAS | Merchandise imports from economies in the Arab World (% of total merchandise imports) | TM.VAL.MRCH.AL.ZS | 1,960 | 4.434240945286412 |
South Asia | SAS | Merchandise imports from high-income economies (% of total merchandise imports) | TM.VAL.MRCH.HI.ZS | 1,960 | 82.36899563318777 |
South Asia | SAS | Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports) | TM.VAL.MRCH.R1.ZS | 1,960 | 4.5594657076804515 |
South Asia | SAS | Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports) | TM.VAL.MRCH.R3.ZS | 1,960 | 0.17017724120215771 |
South Asia | SAS | Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports) | TM.VAL.MRCH.R4.ZS | 1,960 | 5.644746981762137 |
South Asia | SAS | Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports) | TM.VAL.MRCH.R5.ZS | 1,960 | 4.7456974055997945 |
South Asia | SAS | Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports) | TM.VAL.MRCH.R6.ZS | 1,960 | 2.5109170305676853 |
South Asia | SAS | Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) | TM.VAL.MRCH.OR.ZS | 1,960 | 12.885306961212434 |
South Asia | SAS | Merchandise imports from low- and middle-income economies within region (% of total merchandise imports) | TM.VAL.MRCH.WR.ZS | 1,960 | 4.7456974055997945 |
South Asia | SAS | Merchandise trade (% of GDP) | TG.VAL.TOTL.GD.ZS | 1,960 | 13.384903346464725 |
South Asia | SAS | Military expenditure (% of GDP) | MS.MIL.XPND.GD.ZS | 1,960 | 2.1817432127648373 |
South Asia | SAS | Military expenditure (current USD) | MS.MIL.XPND.CD | 1,960 | 907263907.2639077 |
South Asia | SAS | Mobile cellular subscriptions | IT.CEL.SETS | 1,960 | 0.0 |
South Asia | SAS | Mobile cellular subscriptions (per 100 people) | IT.CEL.SETS.P2 | 1,960 | 0.0 |
South Asia | SAS | Monetary Sector credit to private sector (% GDP) | FM.AST.PRVT.GD.ZS | 1,960 | 8.022537050906493 |
South Asia | SAS | Mortality rate, adult, female (per 1,000 female adults) | SP.DYN.AMRT.FE | 1,960 | 390.0810329670887 |
South Asia | SAS | Mortality rate, adult, male (per 1,000 male adults) | SP.DYN.AMRT.MA | 1,960 | 383.8683360625379 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Austria (current US$) | DC.DAC.AUTL.CD | 1,960 | 0.0 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Belgium (current US$) | DC.DAC.BELL.CD | 1,960 | 0.0 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Canada (current US$) | DC.DAC.CANL.CD | 1,960 | 40160000.4434586 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Denmark (current US$) | DC.DAC.DNKL.CD | 1,960 | 19999.9995529652 |
South Asia | SAS | Net bilateral aid flows from DAC donors, European Union institutions (current US$) | DC.DAC.CECL.CD | 1,960 | 0.0 |
South Asia | SAS | Net bilateral aid flows from DAC donors, France (current US$) | DC.DAC.FRAL.CD | 1,960 | 0.0 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Germany (current US$) | DC.DAC.DEUL.CD | 1,960 | 84150000.90003009 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Iceland (current US$) | DC.DAC.ISLL.CD | 1,960 | 0.0 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Italy (current US$) | DC.DAC.ITAL.CD | 1,960 | 2990000.03747642 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Japan (current US$) | DC.DAC.JPNL.CD | 1,960 | 16520000.766962798 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) | DC.DAC.KORL.CD | 1,960 | 0.0 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Netherlands (current US$) | DC.DAC.NLDL.CD | 1,960 | 0.0 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Norway (current US$) | DC.DAC.NORL.CD | 1,960 | 699999.988079071 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Portugal (current US$) | DC.DAC.PRTL.CD | 1,960 | 300000.011920929 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Sweden (current US$) | DC.DAC.SWEL.CD | 1,960 | 180000.005289912 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Switzerland (current US$) | DC.DAC.CHEL.CD | 1,960 | 0.0 |
South Asia | SAS | Net bilateral aid flows from DAC donors, Total (current US$) | DC.DAC.TOTL.CD | 1,960 | 1025279998.511076 |
South Asia | SAS | Net bilateral aid flows from DAC donors, United Kingdom (current US$) | DC.DAC.GBRL.CD | 1,960 | 86259996.3583052 |
South Asia | SAS | Net bilateral aid flows from DAC donors, United States (current US$) | DC.DAC.USAL.CD | 1,960 | 794000000.0 |
South Asia | SAS | Net migration | SM.POP.NETM | 1,960 | 138757.0 |
South Asia | SAS | Net ODA received (% of GNI) | DT.ODA.ODAT.GN.ZS | 1,960 | 2.202266983717944 |
South Asia | SAS | Net ODA received (% of gross capital formation) | DT.ODA.ODAT.GI.ZS | 1,960 | 12.939214465056459 |
South Asia | SAS | Net ODA received per capita (current US$) | DT.ODA.ODAT.PC.ZS | 1,960 | 1.8130013636228879 |
South Asia | SAS | Net official development assistance and official aid received (constant 2021 US$) | DT.ODA.ALLD.KD | 1,960 | 7519230040.5800295 |
South Asia | SAS | Net official development assistance and official aid received (current US$) | DT.ODA.ALLD.CD | 1,960 | 1020110002.78406 |
South Asia | SAS | Net official development assistance received (constant 2021 US$) | DT.ODA.ODAT.KD | 1,960 | 7978649961.56096 |
South Asia | SAS | Net official development assistance received (current US$) | DT.ODA.ODAT.CD | 1,960 | 1020110002.78406 |
South Asia | SAS | Population ages 00-04, female (% of female population) | SP.POP.0004.FE.5Y | 1,960 | 16.854671238341954 |
South Asia | SAS | Population ages 00-04, male (% of male population) | SP.POP.0004.MA.5Y | 1,960 | 16.5128973688368 |
South Asia | SAS | Population ages 0-14 (% of total population) | SP.POP.0014.TO.ZS | 1,960 | 40.81212431672801 |
South Asia | SAS | Population ages 0-14, female | SP.POP.0014.FE.IN | 1,960 | 111551089.0 |
South Asia | SAS | Population ages 0-14, female (% of female population) | SP.POP.0014.FE.ZS | 1,960 | 41.14044140583865 |
South Asia | SAS | Population ages 0-14, male | SP.POP.0014.MA.IN | 1,960 | 118083910.0 |
South Asia | SAS | Population ages 0-14, male (% of male population) | SP.POP.0014.MA.ZS | 1,960 | 40.5067482351613 |
South Asia | SAS | Population ages 0-14, total | SP.POP.0014.TO | 1,960 | 229634995.0 |
South Asia | SAS | Population ages 05-09, female (% of female population) | SP.POP.0509.FE.5Y | 1,960 | 13.444379306045843 |
South Asia | SAS | Population ages 05-09, male (% of male population) | SP.POP.0509.MA.5Y | 1,960 | 13.323462417733948 |
South Asia | SAS | Population ages 10-14, female (% of female population) | SP.POP.1014.FE.5Y | 1,960 | 10.841390861450853 |
South Asia | SAS | Population ages 10-14, male (% of male population) | SP.POP.1014.MA.5Y | 1,960 | 10.670388448590545 |
South Asia | SAS | Population ages 15-19, female (% of female population) | SP.POP.1519.FE.5Y | 1,960 | 9.378293180522869 |
South Asia | SAS | Population ages 15-19, male (% of male population) | SP.POP.1519.MA.5Y | 1,960 | 9.226424542615014 |
South Asia | SAS | Population ages 15-64 (% of total population) | SP.POP.1564.TO.ZS | 1,960 | 55.99398368727458 |
South Asia | SAS | Population ages 15-64, female | SP.POP.1564.FE.IN | 1,960 | 150759142.0 |
South Asia | SAS | Population ages 15-64, female (% of female population) | SP.POP.1564.FE.ZS | 1,960 | 55.60051245687861 |
South Asia | SAS | Population ages 15-64, male | SP.POP.1564.MA.IN | 1,960 | 164298664.0 |
South Asia | SAS | Population ages 15-64, male (% of male population) | SP.POP.1564.MA.ZS | 1,960 | 56.35996129022291 |
South Asia | SAS | Population ages 15-64, total | SP.POP.1564.TO | 1,960 | 315057806.0 |
South Asia | SAS | Population ages 20-24, female (% of female population) | SP.POP.2024.FE.5Y | 1,960 | 8.581999029750696 |
South Asia | SAS | Population ages 20-24, male (% of male population) | SP.POP.2024.MA.5Y | 1,960 | 8.42711166943522 |
South Asia | SAS | Population ages 25-29, female (% of female population) | SP.POP.2529.FE.5Y | 1,960 | 7.600563999102991 |
South Asia | SAS | Population ages 25-29, male (% of male population) | SP.POP.2529.MA.5Y | 1,960 | 7.581207460237923 |
South Asia | SAS | Population ages 30-34, female (% of female population) | SP.POP.3034.FE.5Y | 1,960 | 6.5722070081275366 |
South Asia | SAS | Population ages 30-34, male (% of male population) | SP.POP.3034.MA.5Y | 1,960 | 6.792021284899661 |
South Asia | SAS | Population ages 35-39, female (% of female population) | SP.POP.3539.FE.5Y | 1,960 | 5.685251157777505 |
South Asia | SAS | Population ages 35-39, male (% of male population) | SP.POP.3539.MA.5Y | 1,960 | 5.954403395118104 |
South Asia | SAS | Population ages 40-44, female (% of female population) | SP.POP.4044.FE.5Y | 1,960 | 4.940107295337639 |
South Asia | SAS | Population ages 40-44, male (% of male population) | SP.POP.4044.MA.5Y | 1,960 | 5.16803798294832 |
South Asia | SAS | Population ages 45-49, female (% of female population) | SP.POP.4549.FE.5Y | 1,960 | 4.244559585588053 |
South Asia | SAS | Population ages 45-49, male (% of male population) | SP.POP.4549.MA.5Y | 1,960 | 4.383968837747287 |
South Asia | SAS | Population ages 50-54, female (% of female population) | SP.POP.5054.FE.5Y | 1,960 | 3.598286248226935 |
South Asia | SAS | Population ages 50-54, male (% of male population) | SP.POP.5054.MA.5Y | 1,960 | 3.7049177122621617 |
South Asia | SAS | Population ages 55-59, female (% of female population) | SP.POP.5559.FE.5Y | 1,960 | 2.7633481137490503 |
South Asia | SAS | Population ages 55-59, male (% of male population) | SP.POP.5559.MA.5Y | 1,960 | 2.8909338082722877 |
South Asia | SAS | Population ages 60-64, female (% of female population) | SP.POP.6064.FE.5Y | 1,960 | 2.235896838695332 |
South Asia | SAS | Population ages 60-64, male (% of male population) | SP.POP.6064.MA.5Y | 1,960 | 2.230934596686944 |
South Asia | SAS | Population ages 65 and above (% of total population) | SP.POP.65UP.TO.ZS | 1,960 | 3.1938919959974355 |
South Asia | SAS | Population ages 65 and above, female | SP.POP.65UP.FE.IN | 1,960 | 8836807.0 |
South Asia | SAS | Population ages 65 and above, female (% of female population) | SP.POP.65UP.FE.ZS | 1,960 | 3.259046137282761 |
South Asia | SAS | Population ages 65 and above, male | SP.POP.65UP.MA.IN | 1,960 | 9134063.0 |
South Asia | SAS | Population ages 65 and above, male (% of male population) | SP.POP.65UP.MA.ZS | 1,960 | 3.133290474615782 |
South Asia | SAS | Population ages 65 and above, total | SP.POP.65UP.TO | 1,960 | 17970870.0 |
South Asia | SAS | Population ages 65-69, female (% of female population) | SP.POP.6569.FE.5Y | 1,960 | 1.4236185496895506 |
South Asia | SAS | Population ages 65-69, male (% of male population) | SP.POP.6569.MA.5Y | 1,960 | 1.4291395337328585 |
South Asia | SAS | Population ages 70-74, female (% of female population) | SP.POP.7074.FE.5Y | 1,960 | 1.0451598679751362 |
South Asia | SAS | Population ages 70-74, male (% of male population) | SP.POP.7074.MA.5Y | 1,960 | 0.9716749047118143 |
South Asia | SAS | Population ages 75-79, female (% of female population) | SP.POP.7579.FE.5Y | 1,960 | 0.4700053219502186 |
South Asia | SAS | Population ages 75-79, male (% of male population) | SP.POP.7579.MA.5Y | 1,960 | 0.442491384503888 |
South Asia | SAS | Population ages 80 and above, female (% of female population) | SP.POP.80UP.FE.5Y | 1,960 | 0.32026239766785225 |
South Asia | SAS | Population ages 80 and above, male (% of male population) | SP.POP.80UP.MA.5Y | 1,960 | 0.2899846516672288 |
South Asia | SAS | Population in the largest city (% of urban population) | EN.URB.LCTY.UR.ZS | 1,960 | 9.786207550470515 |
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