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Sub-Saharan Africa | SSF | Fixed telephone subscriptions | IT.MLT.MAIN | 1,960 | 844742.0 |
Sub-Saharan Africa | SSF | Fixed telephone subscriptions (per 100 people) | IT.MLT.MAIN.P2 | 1,960 | 0.5115795392518124 |
Sub-Saharan Africa | SSF | GDP (constant 2015 US$) | NY.GDP.MKTP.KD | 1,960 | 260033514724.07834 |
Sub-Saharan Africa | SSF | GDP (current US$) | NY.GDP.MKTP.CD | 1,960 | 35999878594.04332 |
Sub-Saharan Africa | SSF | GDP per capita (constant 2015 US$) | NY.GDP.PCAP.KD | 1,960 | 1141.985432840811 |
Sub-Saharan Africa | SSF | GDP per capita (current US$) | NY.GDP.PCAP.CD | 1,960 | 158.10014713702756 |
Sub-Saharan Africa | SSF | General government final consumption expenditure (% of GDP) | NE.CON.GOVT.ZS | 1,960 | 8.246451515782384 |
Sub-Saharan Africa | SSF | General government final consumption expenditure (current US$) | NE.CON.GOVT.CD | 1,960 | 2968712533.9983034 |
Sub-Saharan Africa | SSF | Hospital beds (per 1,000 people) | SH.MED.BEDS.ZS | 1,960 | 1.4047115456163537 |
Sub-Saharan Africa | SSF | International migrant stock, total | SM.POP.TOTL | 1,960 | 7897259.0 |
Sub-Saharan Africa | SSF | Life expectancy at birth, female (years) | SP.DYN.LE00.FE.IN | 1,960 | 43.35127049008033 |
Sub-Saharan Africa | SSF | Life expectancy at birth, male (years) | SP.DYN.LE00.MA.IN | 1,960 | 39.64810068531056 |
Sub-Saharan Africa | SSF | Life expectancy at birth, total (years) | SP.DYN.LE00.IN | 1,960 | 41.42961588207936 |
Sub-Saharan Africa | SSF | Merchandise exports (current US$) | TX.VAL.MRCH.CD.WT | 1,960 | 5800023188.770488 |
Sub-Saharan Africa | SSF | Merchandise exports by the reporting economy (current US$) | TX.VAL.MRCH.WL.CD | 1,960 | 2082230000.0 |
Sub-Saharan Africa | SSF | Merchandise exports by the reporting economy, residual (% of total merchandise exports) | TX.VAL.MRCH.RS.ZS | 1,960 | 0.1872991936529586 |
Sub-Saharan Africa | SSF | Merchandise exports to economies in the Arab World (% of total merchandise exports) | TX.VAL.MRCH.AL.ZS | 1,960 | 3.4011612550006483 |
Sub-Saharan Africa | SSF | Merchandise exports to high-income economies (% of total merchandise exports) | TX.VAL.MRCH.HI.ZS | 1,960 | 89.72543859227848 |
Sub-Saharan Africa | SSF | Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports) | TX.VAL.MRCH.R1.ZS | 1,960 | 0.8164323825898196 |
Sub-Saharan Africa | SSF | Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports) | TX.VAL.MRCH.R3.ZS | 1,960 | 0.04322289084299045 |
Sub-Saharan Africa | SSF | Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports) | TX.VAL.MRCH.R4.ZS | 1,960 | 2.704792458085802 |
Sub-Saharan Africa | SSF | Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports) | TX.VAL.MRCH.R5.ZS | 1,960 | 3.2321117263702854 |
Sub-Saharan Africa | SSF | Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) | TX.VAL.MRCH.R6.ZS | 1,960 | 3.2907027561796727 |
Sub-Saharan Africa | SSF | Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports) | TX.VAL.MRCH.OR.ZS | 1,960 | 6.796559457888899 |
Sub-Saharan Africa | SSF | Merchandise exports to low- and middle-income economies within region (% of total merchandise exports) | TX.VAL.MRCH.WR.ZS | 1,960 | 3.2907027561796727 |
Sub-Saharan Africa | SSF | Merchandise imports (current US$) | TM.VAL.MRCH.CD.WT | 1,960 | 5644378630.453438 |
Sub-Saharan Africa | SSF | Merchandise imports by the reporting economy (current US$) | TM.VAL.MRCH.WL.CD | 1,960 | 2367310000.0 |
Sub-Saharan Africa | SSF | Merchandise imports by the reporting economy, residual (% of total merchandise imports) | TM.VAL.MRCH.RS.ZS | 1,960 | 0.5592845888371186 |
Sub-Saharan Africa | SSF | Merchandise imports from economies in the Arab World (% of total merchandise imports) | TM.VAL.MRCH.AL.ZS | 1,960 | 2.241362559191656 |
Sub-Saharan Africa | SSF | Merchandise imports from high-income economies (% of total merchandise imports) | TM.VAL.MRCH.HI.ZS | 1,960 | 87.66321267599089 |
Sub-Saharan Africa | SSF | Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports) | TM.VAL.MRCH.R1.ZS | 1,960 | 1.3230206436841816 |
Sub-Saharan Africa | SSF | Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports) | TM.VAL.MRCH.R3.ZS | 1,960 | 0.08448407686361313 |
Sub-Saharan Africa | SSF | Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports) | TM.VAL.MRCH.R4.ZS | 1,960 | 3.5128479159890342 |
Sub-Saharan Africa | SSF | Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports) | TM.VAL.MRCH.R5.ZS | 1,960 | 3.0089003974975816 |
Sub-Saharan Africa | SSF | Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports) | TM.VAL.MRCH.R6.ZS | 1,960 | 3.848249701137578 |
Sub-Saharan Africa | SSF | Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) | TM.VAL.MRCH.OR.ZS | 1,960 | 7.92925303403441 |
Sub-Saharan Africa | SSF | Merchandise imports from low- and middle-income economies within region (% of total merchandise imports) | TM.VAL.MRCH.WR.ZS | 1,960 | 3.848249701137578 |
Sub-Saharan Africa | SSF | Merchandise trade (% of GDP) | TG.VAL.TOTL.GD.ZS | 1,960 | 32.36232403646301 |
Sub-Saharan Africa | SSF | Mobile cellular subscriptions | IT.CEL.SETS | 1,960 | 0.0 |
Sub-Saharan Africa | SSF | Mobile cellular subscriptions (per 100 people) | IT.CEL.SETS.P2 | 1,960 | 0.0 |
Sub-Saharan Africa | SSF | Mortality rate, adult, female (per 1,000 female adults) | SP.DYN.AMRT.FE | 1,960 | 394.7049567459702 |
Sub-Saharan Africa | SSF | Mortality rate, adult, male (per 1,000 male adults) | SP.DYN.AMRT.MA | 1,960 | 471.581937234694 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Austria (current US$) | DC.DAC.AUTL.CD | 1,960 | 0.0 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Belgium (current US$) | DC.DAC.BELL.CD | 1,960 | 86000000.0 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Canada (current US$) | DC.DAC.CANL.CD | 1,960 | 209999.995306134 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Denmark (current US$) | DC.DAC.DNKL.CD | 1,960 | 100000.00149011599 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, European Union institutions (current US$) | DC.DAC.CECL.CD | 1,960 | 3149999.88861382 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, France (current US$) | DC.DAC.FRAL.CD | 1,960 | 307500000.0 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Germany (current US$) | DC.DAC.DEUL.CD | 1,960 | 5319999.88853931 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Iceland (current US$) | DC.DAC.ISLL.CD | 1,960 | 0.0 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Italy (current US$) | DC.DAC.ITAL.CD | 1,960 | 16639999.942854 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Japan (current US$) | DC.DAC.JPNL.CD | 1,960 | 19999.9995529652 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) | DC.DAC.KORL.CD | 1,960 | 0.0 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Netherlands (current US$) | DC.DAC.NLDL.CD | 1,960 | 0.0 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Norway (current US$) | DC.DAC.NORL.CD | 1,960 | 0.0 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Portugal (current US$) | DC.DAC.PRTL.CD | 1,960 | 0.0 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Sweden (current US$) | DC.DAC.SWEL.CD | 1,960 | 280000.010505319 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Switzerland (current US$) | DC.DAC.CHEL.CD | 1,960 | 0.0 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, Total (current US$) | DC.DAC.TOTL.CD | 1,960 | 580350000.8545817 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, United Kingdom (current US$) | DC.DAC.GBRL.CD | 1,960 | 123130001.12772001 |
Sub-Saharan Africa | SSF | Net bilateral aid flows from DAC donors, United States (current US$) | DC.DAC.USAL.CD | 1,960 | 38000000.0 |
Sub-Saharan Africa | SSF | Net migration | SM.POP.NETM | 1,960 | -103463.0 |
Sub-Saharan Africa | SSF | Net ODA received per capita (current US$) | DT.ODA.ODAT.PC.ZS | 1,960 | 2.6233734093880625 |
Sub-Saharan Africa | SSF | Net official development assistance and official aid received (constant 2021 US$) | DT.ODA.ALLD.KD | 1,960 | 5651549909.08504 |
Sub-Saharan Africa | SSF | Net official development assistance and official aid received (current US$) | DT.ODA.ALLD.CD | 1,960 | 597350008.554757 |
Sub-Saharan Africa | SSF | Net official development assistance received (constant 2021 US$) | DT.ODA.ODAT.KD | 1,960 | 6078299873.65007 |
Sub-Saharan Africa | SSF | Net official development assistance received (current US$) | DT.ODA.ODAT.CD | 1,960 | 597350008.554757 |
Sub-Saharan Africa | SSF | Population ages 00-04, female (% of female population) | SP.POP.0004.FE.5Y | 1,960 | 17.607681702193144 |
Sub-Saharan Africa | SSF | Population ages 00-04, male (% of male population) | SP.POP.0004.MA.5Y | 1,960 | 18.00590737212296 |
Sub-Saharan Africa | SSF | Population ages 0-14 (% of total population) | SP.POP.0014.TO.ZS | 1,960 | 42.92659884340276 |
Sub-Saharan Africa | SSF | Population ages 0-14, female | SP.POP.0014.FE.IN | 1,960 | 48817264.0 |
Sub-Saharan Africa | SSF | Population ages 0-14, female (% of female population) | SP.POP.0014.FE.ZS | 1,960 | 42.5096874877696 |
Sub-Saharan Africa | SSF | Population ages 0-14, male | SP.POP.0014.MA.IN | 1,960 | 48927893.0 |
Sub-Saharan Africa | SSF | Population ages 0-14, male (% of male population) | SP.POP.0014.MA.ZS | 1,960 | 43.3507978861138 |
Sub-Saharan Africa | SSF | Population ages 0-14, total | SP.POP.0014.TO | 1,960 | 97745154.0 |
Sub-Saharan Africa | SSF | Population ages 05-09, female (% of female population) | SP.POP.0509.FE.5Y | 1,960 | 13.51109857927866 |
Sub-Saharan Africa | SSF | Population ages 05-09, male (% of male population) | SP.POP.0509.MA.5Y | 1,960 | 13.683714416924923 |
Sub-Saharan Africa | SSF | Population ages 10-14, female (% of female population) | SP.POP.1014.FE.5Y | 1,960 | 11.390907206297808 |
Sub-Saharan Africa | SSF | Population ages 10-14, male (% of male population) | SP.POP.1014.MA.5Y | 1,960 | 11.66117609706593 |
Sub-Saharan Africa | SSF | Population ages 15-19, female (% of female population) | SP.POP.1519.FE.5Y | 1,960 | 9.84616246395422 |
Sub-Saharan Africa | SSF | Population ages 15-19, male (% of male population) | SP.POP.1519.MA.5Y | 1,960 | 10.030775670571616 |
Sub-Saharan Africa | SSF | Population ages 15-64 (% of total population) | SP.POP.1564.TO.ZS | 1,960 | 53.945952057533134 |
Sub-Saharan Africa | SSF | Population ages 15-64, female | SP.POP.1564.FE.IN | 1,960 | 62089683.0 |
Sub-Saharan Africa | SSF | Population ages 15-64, female (% of female population) | SP.POP.1564.FE.ZS | 1,960 | 54.06720788434304 |
Sub-Saharan Africa | SSF | Population ages 15-64, male | SP.POP.1564.MA.IN | 1,960 | 60746872.0 |
Sub-Saharan Africa | SSF | Population ages 15-64, male (% of male population) | SP.POP.1564.MA.ZS | 1,960 | 53.82257672255235 |
Sub-Saharan Africa | SSF | Population ages 15-64, total | SP.POP.1564.TO | 1,960 | 122836551.0 |
Sub-Saharan Africa | SSF | Population ages 20-24, female (% of female population) | SP.POP.2024.FE.5Y | 1,960 | 8.574390801350445 |
Sub-Saharan Africa | SSF | Population ages 20-24, male (% of male population) | SP.POP.2024.MA.5Y | 1,960 | 8.573569175368162 |
Sub-Saharan Africa | SSF | Population ages 25-29, female (% of female population) | SP.POP.2529.FE.5Y | 1,960 | 7.502659617034777 |
Sub-Saharan Africa | SSF | Population ages 25-29, male (% of male population) | SP.POP.2529.MA.5Y | 1,960 | 7.4268279863580755 |
Sub-Saharan Africa | SSF | Population ages 30-34, female (% of female population) | SP.POP.3034.FE.5Y | 1,960 | 6.460576849133817 |
Sub-Saharan Africa | SSF | Population ages 30-34, male (% of male population) | SP.POP.3034.MA.5Y | 1,960 | 6.434998763307761 |
Sub-Saharan Africa | SSF | Population ages 35-39, female (% of female population) | SP.POP.3539.FE.5Y | 1,960 | 5.479635292922465 |
Sub-Saharan Africa | SSF | Population ages 35-39, male (% of male population) | SP.POP.3539.MA.5Y | 1,960 | 5.517727455073447 |
Sub-Saharan Africa | SSF | Population ages 40-44, female (% of female population) | SP.POP.4044.FE.5Y | 1,960 | 4.604161432287975 |
Sub-Saharan Africa | SSF | Population ages 40-44, male (% of male population) | SP.POP.4044.MA.5Y | 1,960 | 4.655361492279943 |
Sub-Saharan Africa | SSF | Population ages 45-49, female (% of female population) | SP.POP.4549.FE.5Y | 1,960 | 3.825338565797837 |
Sub-Saharan Africa | SSF | Population ages 45-49, male (% of male population) | SP.POP.4549.MA.5Y | 1,960 | 3.8320481161580275 |
Sub-Saharan Africa | SSF | Population ages 50-54, female (% of female population) | SP.POP.5054.FE.5Y | 1,960 | 3.166087597144046 |
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