country_name
large_stringclasses 265
values | country_code
large_stringclasses 265
values | indicator_name
large_stringlengths 10
141
| indicator_code
large_stringlengths 6
26
| year
int32 1.96k
2.02k
| indicator_value
large_stringlengths 1
24
|
|---|---|---|---|---|---|
IDA blend | IDB | Merchandise exports by the reporting economy, residual (% of total merchandise exports) | TX.VAL.MRCH.RS.ZS | 1,960 | 0.057920648711265565 |
IDA blend | IDB | Merchandise exports to economies in the Arab World (% of total merchandise exports) | TX.VAL.MRCH.AL.ZS | 1,960 | 2.2589052997393573 |
IDA blend | IDB | Merchandise exports to high-income economies (% of total merchandise exports) | TX.VAL.MRCH.HI.ZS | 1,960 | 86.74582488657207 |
IDA blend | IDB | Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports) | TX.VAL.MRCH.R1.ZS | 1,960 | 3.6683077517134857 |
IDA blend | IDB | Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports) | TX.VAL.MRCH.R2.ZS | 1,960 | 0.028960324355632783 |
IDA blend | IDB | Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports) | TX.VAL.MRCH.R3.ZS | 1,960 | 0.7819287576020852 |
IDA blend | IDB | Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports) | TX.VAL.MRCH.R4.ZS | 1,960 | 1.5059368664929047 |
IDA blend | IDB | Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports) | TX.VAL.MRCH.R5.ZS | 1,960 | 4.0158316439810795 |
IDA blend | IDB | Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) | TX.VAL.MRCH.R6.ZS | 1,960 | 3.1952891205714837 |
IDA blend | IDB | Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports) | TX.VAL.MRCH.OR.ZS | 1,960 | 8.26334588280722 |
IDA blend | IDB | Merchandise exports to low- and middle-income economies within region (% of total merchandise exports) | TX.VAL.MRCH.WR.ZS | 1,960 | 4.932908581909451 |
IDA blend | IDB | Merchandise imports (current US$) | TM.VAL.MRCH.CD.WT | 1,960 | 2499224105.252613 |
IDA blend | IDB | Merchandise imports by the reporting economy (current US$) | TM.VAL.MRCH.WL.CD | 1,960 | 1543600000.0 |
IDA blend | IDB | Merchandise imports by the reporting economy, residual (% of total merchandise imports) | TM.VAL.MRCH.RS.ZS | 1,960 | 0.006478362270017657 |
IDA blend | IDB | Merchandise imports from economies in the Arab World (% of total merchandise imports) | TM.VAL.MRCH.AL.ZS | 1,960 | 1.6390256543145891 |
IDA blend | IDB | Merchandise imports from high-income economies (% of total merchandise imports) | TM.VAL.MRCH.HI.ZS | 1,960 | 89.1033946618295 |
IDA blend | IDB | Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports) | TM.VAL.MRCH.R1.ZS | 1,960 | 1.6843741902047162 |
IDA blend | IDB | Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports) | TM.VAL.MRCH.R3.ZS | 1,960 | 0.0323918113500907 |
IDA blend | IDB | Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports) | TM.VAL.MRCH.R4.ZS | 1,960 | 3.8675822752008293 |
IDA blend | IDB | Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports) | TM.VAL.MRCH.R5.ZS | 1,960 | 3.912930811090956 |
IDA blend | IDB | Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports) | TM.VAL.MRCH.R6.ZS | 1,960 | 1.3928478880539001 |
IDA blend | IDB | Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) | TM.VAL.MRCH.OR.ZS | 1,960 | 7.203938844260172 |
IDA blend | IDB | Merchandise imports from low- and middle-income economies within region (% of total merchandise imports) | TM.VAL.MRCH.WR.ZS | 1,960 | 3.6861881316403213 |
IDA blend | IDB | Merchandise trade (% of GDP) | TG.VAL.TOTL.GD.ZS | 1,960 | 32.96447698628463 |
IDA blend | IDB | Military expenditure (% of GDP) | MS.MIL.XPND.GD.ZS | 1,960 | 2.2145818662317893 |
IDA blend | IDB | Military expenditure (current USD) | MS.MIL.XPND.CD | 1,960 | 234815198.45721307 |
IDA blend | IDB | Mobile cellular subscriptions | IT.CEL.SETS | 1,960 | 0.0 |
IDA blend | IDB | Mobile cellular subscriptions (per 100 people) | IT.CEL.SETS.P2 | 1,960 | 0.0 |
IDA blend | IDB | Monetary Sector credit to private sector (% GDP) | FM.AST.PRVT.GD.ZS | 1,960 | 7.562203847230719 |
IDA blend | IDB | Mortality rate, adult, female (per 1,000 female adults) | SP.DYN.AMRT.FE | 1,960 | 410.3059428735664 |
IDA blend | IDB | Mortality rate, adult, male (per 1,000 male adults) | SP.DYN.AMRT.MA | 1,960 | 432.02090334388123 |
IDA blend | IDB | Net migration | SM.POP.NETM | 1,960 | 13791.0 |
IDA blend | IDB | Population ages 00-04, female (% of female population) | SP.POP.0004.FE.5Y | 1,960 | 17.776236981419917 |
IDA blend | IDB | Population ages 00-04, male (% of male population) | SP.POP.0004.MA.5Y | 1,960 | 17.29122498778051 |
IDA blend | IDB | Population ages 0-14 (% of total population) | SP.POP.0014.TO.ZS | 1,960 | 41.838135154513715 |
IDA blend | IDB | Population ages 0-14, female | SP.POP.0014.FE.IN | 1,960 | 25012109.0 |
IDA blend | IDB | Population ages 0-14, female (% of female population) | SP.POP.0014.FE.ZS | 1,960 | 42.388030761124675 |
IDA blend | IDB | Population ages 0-14, male | SP.POP.0014.MA.IN | 1,960 | 25529110.0 |
IDA blend | IDB | Population ages 0-14, male (% of male population) | SP.POP.0014.MA.ZS | 1,960 | 41.313038921563106 |
IDA blend | IDB | Population ages 0-14, total | SP.POP.0014.TO | 1,960 | 50541219.0 |
IDA blend | IDB | Population ages 05-09, female (% of female population) | SP.POP.0509.FE.5Y | 1,960 | 13.446026847587085 |
IDA blend | IDB | Population ages 05-09, male (% of male population) | SP.POP.0509.MA.5Y | 1,960 | 12.946006719452734 |
IDA blend | IDB | Population ages 10-14, female (% of female population) | SP.POP.1014.FE.5Y | 1,960 | 11.165766932117686 |
IDA blend | IDB | Population ages 10-14, male (% of male population) | SP.POP.1014.MA.5Y | 1,960 | 11.075807214329876 |
IDA blend | IDB | Population ages 15-19, female (% of female population) | SP.POP.1519.FE.5Y | 1,960 | 9.949247473799378 |
IDA blend | IDB | Population ages 15-19, male (% of male population) | SP.POP.1519.MA.5Y | 1,960 | 10.102681326458658 |
IDA blend | IDB | Population ages 15-64 (% of total population) | SP.POP.1564.TO.ZS | 1,960 | 55.03138792320302 |
IDA blend | IDB | Population ages 15-64, female | SP.POP.1564.FE.IN | 1,960 | 32086267.0 |
IDA blend | IDB | Population ages 15-64, female (% of female population) | SP.POP.1564.FE.ZS | 1,960 | 54.37660837487153 |
IDA blend | IDB | Population ages 15-64, male | SP.POP.1564.MA.IN | 1,960 | 34392639.0 |
IDA blend | IDB | Population ages 15-64, male (% of male population) | SP.POP.1564.MA.ZS | 1,960 | 55.65663792339842 |
IDA blend | IDB | Population ages 15-64, total | SP.POP.1564.TO | 1,960 | 66478907.0 |
IDA blend | IDB | Population ages 20-24, female (% of female population) | SP.POP.2024.FE.5Y | 1,960 | 8.822934357736216 |
IDA blend | IDB | Population ages 20-24, male (% of male population) | SP.POP.2024.MA.5Y | 1,960 | 8.835420816391489 |
IDA blend | IDB | Population ages 25-29, female (% of female population) | SP.POP.2529.FE.5Y | 1,960 | 7.633419952304381 |
IDA blend | IDB | Population ages 25-29, male (% of male population) | SP.POP.2529.MA.5Y | 1,960 | 7.699000013376225 |
IDA blend | IDB | Population ages 30-34, female (% of female population) | SP.POP.3034.FE.5Y | 1,960 | 6.51803854386082 |
IDA blend | IDB | Population ages 30-34, male (% of male population) | SP.POP.3034.MA.5Y | 1,960 | 6.770413021806014 |
IDA blend | IDB | Population ages 35-39, female (% of female population) | SP.POP.3539.FE.5Y | 1,960 | 5.43280669683851 |
IDA blend | IDB | Population ages 35-39, male (% of male population) | SP.POP.3539.MA.5Y | 1,960 | 5.660103003042303 |
IDA blend | IDB | Population ages 40-44, female (% of female population) | SP.POP.4044.FE.5Y | 1,960 | 4.474873963905307 |
IDA blend | IDB | Population ages 40-44, male (% of male population) | SP.POP.4044.MA.5Y | 1,960 | 4.741710289218939 |
IDA blend | IDB | Population ages 45-49, female (% of female population) | SP.POP.4549.FE.5Y | 1,960 | 3.742874429560418 |
IDA blend | IDB | Population ages 45-49, male (% of male population) | SP.POP.4549.MA.5Y | 1,960 | 3.9584635128696593 |
IDA blend | IDB | Population ages 50-54, female (% of female population) | SP.POP.5054.FE.5Y | 1,960 | 3.0926069070050213 |
IDA blend | IDB | Population ages 50-54, male (% of male population) | SP.POP.5054.MA.5Y | 1,960 | 3.234494831164035 |
IDA blend | IDB | Population ages 55-59, female (% of female population) | SP.POP.5559.FE.5Y | 1,960 | 2.6565681496263522 |
IDA blend | IDB | Population ages 55-59, male (% of male population) | SP.POP.5559.MA.5Y | 1,960 | 2.6484635928812814 |
IDA blend | IDB | Population ages 60-64, female (% of female population) | SP.POP.6064.FE.5Y | 1,960 | 2.0532379002351226 |
IDA blend | IDB | Population ages 60-64, male (% of male population) | SP.POP.6064.MA.5Y | 1,960 | 2.0058875161898415 |
IDA blend | IDB | Population ages 65 and above (% of total population) | SP.POP.65UP.TO.ZS | 1,960 | 3.1304769222832425 |
IDA blend | IDB | Population ages 65 and above, female | SP.POP.65UP.FE.IN | 1,960 | 1909106.0 |
IDA blend | IDB | Population ages 65 and above, female (% of female population) | SP.POP.65UP.FE.ZS | 1,960 | 3.2353608640037868 |
IDA blend | IDB | Population ages 65 and above, male | SP.POP.65UP.MA.IN | 1,960 | 1872568.0 |
IDA blend | IDB | Population ages 65 and above, male (% of male population) | SP.POP.65UP.MA.ZS | 1,960 | 3.030323155038452 |
IDA blend | IDB | Population ages 65 and above, total | SP.POP.65UP.TO | 1,960 | 3781671.0 |
IDA blend | IDB | Population ages 65-69, female (% of female population) | SP.POP.6569.FE.5Y | 1,960 | 1.453207217088511 |
IDA blend | IDB | Population ages 65-69, male (% of male population) | SP.POP.6569.MA.5Y | 1,960 | 1.411692918894625 |
IDA blend | IDB | Population ages 70-74, female (% of female population) | SP.POP.7074.FE.5Y | 1,960 | 0.9666011413713429 |
IDA blend | IDB | Population ages 70-74, male (% of male population) | SP.POP.7074.MA.5Y | 1,960 | 0.9226641328564261 |
IDA blend | IDB | Population ages 75-79, female (% of female population) | SP.POP.7579.FE.5Y | 1,960 | 0.5115325838697091 |
IDA blend | IDB | Population ages 75-79, male (% of male population) | SP.POP.7579.MA.5Y | 1,960 | 0.45976800779444327 |
IDA blend | IDB | Population ages 80 and above, female (% of female population) | SP.POP.80UP.FE.5Y | 1,960 | 0.3040199216742302 |
IDA blend | IDB | Population ages 80 and above, male (% of male population) | SP.POP.80UP.MA.5Y | 1,960 | 0.2361980954929541 |
IDA blend | IDB | Population in the largest city (% of urban population) | EN.URB.LCTY.UR.ZS | 1,960 | 20.107451441079128 |
IDA blend | IDB | Population, female | SP.POP.TOTL.FE.IN | 1,960 | 59007484.0 |
IDA blend | IDB | Population, female (% of total population) | SP.POP.TOTL.FE.ZS | 1,960 | 48.84652709910559 |
IDA blend | IDB | Population, male | SP.POP.TOTL.MA.IN | 1,960 | 61794317.0 |
IDA blend | IDB | Population, male (% of total population) | SP.POP.TOTL.MA.ZS | 1,960 | 51.15347290089441 |
IDA blend | IDB | Population, total | SP.POP.TOTL | 1,960 | 120801801.0 |
IDA blend | IDB | Rural population | SP.RUR.TOTL | 1,960 | 98309262.0 |
IDA blend | IDB | Rural population (% of total population) | SP.RUR.TOTL.ZS | 1,960 | 81.38062874992237 |
IDA blend | IDB | Sex ratio at birth (male births per female births) | SP.POP.BRTH.MF | 1,960 | 1.047242881154463 |
IDA blend | IDB | Survival to age 65, female (% of cohort) | SP.DYN.TO65.FE.ZS | 1,960 | 35.44908859978576 |
IDA blend | IDB | Survival to age 65, male (% of cohort) | SP.DYN.TO65.MA.ZS | 1,960 | 33.039348214229456 |
IDA blend | IDB | Total fisheries production (metric tons) | ER.FSH.PROD.MT | 1,960 | 231307.0 |
IDA blend | IDB | Trade (% of GDP) | NE.TRD.GNFS.ZS | 1,960 | 28.702600106439796 |
IDA blend | IDB | Urban population | SP.URB.TOTL | 1,960 | 22492539.0 |
IDA blend | IDB | Urban population (% of total population) | SP.URB.TOTL.IN.ZS | 1,960 | 18.619371250077634 |
IDA only | IDX | Adolescent fertility rate (births per 1,000 women ages 15-19) | SP.ADO.TFRT | 1,960 | 147.8266464949107 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.