Indicator Code | Indicator Name | URL | Countries | Average Years | List Number |
PA.NUS.PPP.05 | 2005 PPP conversion factor, GDP (LCU per international $) | https://data.cmucreatelab.org/earthtime/WorldBank/PA.NUS.PPP.05.csv | 184 | 1 | 1 |
PA.NUS.PRVT.PP.05 | 2005 PPP conversion factor, private consumption (LCU per international $) | https://data.cmucreatelab.org/earthtime/WorldBank/PA.NUS.PRVT.PP.05.csv | 184 | 1 | 2 |
EG.CFT.ACCS.ZS | Access to clean fuels and technologies for cooking (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.CFT.ACCS.ZS.csv | 235 | 15 | 3 |
EG.ELC.ACCS.ZS | Access to electricity (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.ACCS.ZS.csv | 260 | 24 | 4 |
EG.ELC.ACCS.RU.ZS | Access to electricity, rural (% of rural population) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.ACCS.RU.ZS.csv | 256 | 24 | 5 |
EG.ELC.ACCS.UR.ZS | Access to electricity, urban (% of urban population) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.ACCS.UR.ZS.csv | 256 | 19 | 6 |
WP_time_01.1 | Account at a financial institution (% age 15+) | https://data.cmucreatelab.org/earthtime/WorldBank/WP_time_01.1.csv | 168 | 1 | 7 |
WP_time_01.3 | Account at a financial institution, female (% age 15+) | https://data.cmucreatelab.org/earthtime/WorldBank/WP_time_01.3.csv | 168 | 1 | 8 |
WP_time_01.8 | Account at a financial institution, income, poorest 40% (% ages 15+) | https://data.cmucreatelab.org/earthtime/WorldBank/WP_time_01.8.csv | 168 | 1 | 9 |
WP_time_01.9 | Account at a financial institution, income, richest 60% (% ages 15+) | https://data.cmucreatelab.org/earthtime/WorldBank/WP_time_01.9.csv | 168 | 1 | 10 |
WP_time_01.2 | Account at a financial institution, male (% age 15+) | https://data.cmucreatelab.org/earthtime/WorldBank/WP_time_01.2.csv | 168 | 1 | 11 |
per_si_allsi.adq_pop_tot | Adequacy of social insurance programs (% of total welfare of beneficiary households) | https://data.cmucreatelab.org/earthtime/WorldBank/per_si_allsi.adq_pop_tot.csv | 103 | 2 | 12 |
per_allsp.adq_pop_tot | Adequacy of social protection and labor programs (% of total welfare of beneficiary households) | https://data.cmucreatelab.org/earthtime/WorldBank/per_allsp.adq_pop_tot.csv | 113 | 2 | 13 |
per_sa_allsa.adq_pop_tot | Adequacy of social safety net programs (% of total welfare of beneficiary households) | https://data.cmucreatelab.org/earthtime/WorldBank/per_sa_allsa.adq_pop_tot.csv | 97 | 2 | 14 |
per_lm_alllm.adq_pop_tot | Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households) | https://data.cmucreatelab.org/earthtime/WorldBank/per_lm_alllm.adq_pop_tot.csv | 33 | 2 | 15 |
SE.PRM.TENR | Adjusted net enrollment rate, primary (% of primary school age children) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.TENR.csv | 238 | 24 | 16 |
SE.PRM.TENR.FE | Adjusted net enrollment rate, primary, female (% of primary school age children) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.TENR.FE.csv | 236 | 21 | 17 |
SE.PRM.TENR.MA | Adjusted net enrollment rate, primary, male (% of primary school age children) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.TENR.MA.csv | 236 | 21 | 18 |
NY.ADJ.NNTY.KD.ZG | Adjusted net national income (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.NNTY.KD.ZG.csv | 202 | 28 | 19 |
NY.ADJ.NNTY.KD | Adjusted net national income (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.NNTY.KD.csv | 218 | 26 | 20 |
NY.ADJ.NNTY.CD | Adjusted net national income (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.NNTY.CD.csv | 225 | 35 | 21 |
NY.ADJ.NNTY.PC.KD.ZG | Adjusted net national income per capita (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.NNTY.PC.KD.ZG.csv | 202 | 28 | 22 |
NY.ADJ.NNTY.PC.KD | Adjusted net national income per capita (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.NNTY.PC.KD.csv | 218 | 26 | 23 |
NY.ADJ.NNTY.PC.CD | Adjusted net national income per capita (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.NNTY.PC.CD.csv | 225 | 35 | 24 |
NY.ADJ.SVNX.GN.ZS | Adjusted net savings, excluding particulate emission damage (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.SVNX.GN.ZS.csv | 212 | 29 | 25 |
NY.ADJ.SVNX.CD | Adjusted net savings, excluding particulate emission damage (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.SVNX.CD.csv | 166 | 28 | 26 |
NY.ADJ.SVNG.GN.ZS | Adjusted net savings, including particulate emission damage (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.SVNG.GN.ZS.csv | 206 | 21 | 27 |
NY.ADJ.SVNG.CD | Adjusted net savings, including particulate emission damage (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.SVNG.CD.csv | 160 | 20 | 28 |
NY.ADJ.DCO2.GN.ZS | Adjusted savings: carbon dioxide damage (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DCO2.GN.ZS.csv | 245 | 38 | 29 |
NY.ADJ.DCO2.CD | Adjusted savings: carbon dioxide damage (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DCO2.CD.csv | 200 | 40 | 30 |
NY.ADJ.DKAP.GN.ZS | Adjusted savings: consumption of fixed capital (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DKAP.GN.ZS.csv | 242 | 39 | 31 |
NY.ADJ.DKAP.CD | Adjusted savings: consumption of fixed capital (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DKAP.CD.csv | 198 | 38 | 32 |
NY.ADJ.AEDU.GN.ZS | Adjusted savings: education expenditure (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.AEDU.GN.ZS.csv | 241 | 45 | 33 |
NY.ADJ.AEDU.CD | Adjusted savings: education expenditure (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.AEDU.CD.csv | 193 | 38 | 34 |
NY.ADJ.DNGY.GN.ZS | Adjusted savings: energy depletion (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DNGY.GN.ZS.csv | 239 | 37 | 35 |
NY.ADJ.DNGY.CD | Adjusted savings: energy depletion (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DNGY.CD.csv | 200 | 41 | 36 |
NY.ADJ.ICTR.GN.ZS | Adjusted savings: gross savings (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.ICTR.GN.ZS.csv | 227 | 29 | 37 |
NY.ADJ.DMIN.GN.ZS | Adjusted savings: mineral depletion (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DMIN.GN.ZS.csv | 251 | 38 | 38 |
NY.ADJ.DMIN.CD | Adjusted savings: mineral depletion (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DMIN.CD.csv | 215 | 46 | 39 |
NY.ADJ.DRES.GN.ZS | Adjusted savings: natural resources depletion (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DRES.GN.ZS.csv | 227 | 36 | 40 |
NY.ADJ.DFOR.GN.ZS | Adjusted savings: net forest depletion (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DFOR.GN.ZS.csv | 230 | 38 | 41 |
NY.ADJ.DFOR.CD | Adjusted savings: net forest depletion (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DFOR.CD.csv | 188 | 41 | 42 |
NY.ADJ.NNAT.GN.ZS | Adjusted savings: net national savings (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.NNAT.GN.ZS.csv | 226 | 29 | 43 |
NY.ADJ.NNAT.CD | Adjusted savings: net national savings (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.NNAT.CD.csv | 180 | 28 | 44 |
NY.ADJ.DPEM.GN.ZS | Adjusted savings: particulate emission damage (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DPEM.GN.ZS.csv | 218 | 24 | 45 |
NY.ADJ.DPEM.CD | Adjusted savings: particulate emission damage (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.ADJ.DPEM.CD.csv | 172 | 25 | 46 |
SP.ADO.TFRT | Adolescent fertility rate (births per 1,000 women ages 15-19) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.ADO.TFRT.csv | 240 | 56 | 47 |
SE.SEC.UNER.LO.ZS | Adolescents out of school (% of lower secondary school age) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.UNER.LO.ZS.csv | 223 | 14 | 48 |
SE.SEC.UNER.LO.FE.ZS | Adolescents out of school, female (% of female lower secondary school age) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.UNER.LO.FE.ZS.csv | 218 | 11 | 49 |
SE.SEC.UNER.LO.MA.ZS | Adolescents out of school, male (% of male lower secondary school age) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.UNER.LO.MA.ZS.csv | 218 | 11 | 50 |
SH.HIV.INCD.TL | Adults (ages 15+) and children (ages 0-14) newly infected with HIV | https://data.cmucreatelab.org/earthtime/WorldBank/SH.HIV.INCD.TL.csv | 108 | 26 | 51 |
SH.HIV.INCD | Adults (ages 15+) newly infected with HIV | https://data.cmucreatelab.org/earthtime/WorldBank/SH.HIV.INCD.csv | 108 | 26 | 52 |
SP.POP.DPND | Age dependency ratio (% of working-age population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.DPND.csv | 241 | 55 | 53 |
SP.POP.DPND.OL | Age dependency ratio, old (% of working-age population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.DPND.OL.csv | 241 | 55 | 54 |
SP.POP.DPND.YG | Age dependency ratio, young (% of working-age population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.DPND.YG.csv | 241 | 55 | 55 |
AG.LND.IRIG.AG.ZS | Agricultural irrigated land (% of total agricultural land) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.IRIG.AG.ZS.csv | 119 | 6 | 56 |
AG.LND.AGRI.ZS | Agricultural land (% of land area) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.AGRI.ZS.csv | 256 | 49 | 57 |
AG.LND.AGRI.K2 | Agricultural land (sq. km) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.AGRI.K2.csv | 257 | 49 | 58 |
AG.AGR.TRAC.NO | Agricultural machinery, tractors | https://data.cmucreatelab.org/earthtime/WorldBank/AG.AGR.TRAC.NO.csv | 233 | 33 | 59 |
AG.LND.TRAC.ZS | Agricultural machinery, tractors per 100 sq. km of arable land | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.TRAC.ZS.csv | 230 | 32 | 60 |
EN.ATM.METH.AG.ZS | Agricultural methane emissions (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.METH.AG.ZS.csv | 250 | 38 | 61 |
EN.ATM.METH.AG.KT.CE | Agricultural methane emissions (thousand metric tons of CO2 equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.METH.AG.KT.CE.csv | 263 | 39 | 62 |
EN.ATM.NOXE.AG.ZS | Agricultural nitrous oxide emissions (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.NOXE.AG.ZS.csv | 251 | 38 | 63 |
EN.ATM.NOXE.AG.KT.CE | Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.NOXE.AG.KT.CE.csv | 263 | 39 | 64 |
TX.VAL.AGRI.ZS.UN | Agricultural raw materials exports (% of merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.AGRI.ZS.UN.csv | 240 | 33 | 65 |
TM.VAL.AGRI.ZS.UN | Agricultural raw materials imports (% of merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.AGRI.ZS.UN.csv | 241 | 33 | 66 |
EA.PRD.AGRI.KD | Agriculture value added per worker (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/EA.PRD.AGRI.KD.csv | 226 | 28 | 67 |
NV.AGR.TOTL.ZS | Agriculture, value added (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.AGR.TOTL.ZS.csv | 238 | 34 | 68 |
NV.AGR.TOTL.KD.ZG | Agriculture, value added (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.AGR.TOTL.KD.ZG.csv | 232 | 34 | 69 |
NV.AGR.TOTL.KD | Agriculture, value added (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.AGR.TOTL.KD.csv | 229 | 34 | 70 |
NV.AGR.TOTL.KN | Agriculture, value added (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.AGR.TOTL.KN.csv | 187 | 34 | 71 |
NV.AGR.TOTL.CN | Agriculture, value added (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.AGR.TOTL.CN.csv | 196 | 36 | 72 |
NV.AGR.TOTL.CD | Agriculture, value added (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.AGR.TOTL.CD.csv | 240 | 36 | 73 |
IS.AIR.GOOD.MT.K1 | Air transport, freight (million ton-km) | https://data.cmucreatelab.org/earthtime/WorldBank/IS.AIR.GOOD.MT.K1.csv | 230 | 36 | 74 |
IS.AIR.PSGR | Air transport, passengers carried | https://data.cmucreatelab.org/earthtime/WorldBank/IS.AIR.PSGR.csv | 230 | 37 | 75 |
IS.AIR.DPRT | Air transport, registered carrier departures worldwide | https://data.cmucreatelab.org/earthtime/WorldBank/IS.AIR.DPRT.csv | 230 | 37 | 76 |
SE.XPD.MPRM.ZS | All education staff compensation, primary (% of total expenditure in primary public institutions) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.MPRM.ZS.csv | 180 | 7 | 77 |
SE.XPD.MSEC.ZS | All education staff compensation, secondary (% of total expenditure in secondary public institutions) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.MSEC.ZS.csv | 181 | 7 | 78 |
SE.XPD.MTER.ZS | All education staff compensation, tertiary (% of total expenditure in tertiary public institutions) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.MTER.ZS.csv | 151 | 7 | 79 |
SE.XPD.MTOT.ZS | All education staff compensation, total (% of total expenditure in public institutions) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.MTOT.ZS.csv | 179 | 7 | 80 |
EG.USE.COMM.CL.ZS | Alternative and nuclear energy (% of total energy use) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.USE.COMM.CL.ZS.csv | 187 | 43 | 81 |
ER.H2O.FWAG.ZS | Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.H2O.FWAG.ZS.csv | 226 | 3 | 82 |
ER.H2O.FWDM.ZS | Annual freshwater withdrawals, domestic (% of total freshwater withdrawal) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.H2O.FWDM.ZS.csv | 224 | 3 | 83 |
ER.H2O.FWIN.ZS | Annual freshwater withdrawals, industry (% of total freshwater withdrawal) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.H2O.FWIN.ZS.csv | 225 | 3 | 84 |
ER.H2O.FWTL.ZS | Annual freshwater withdrawals, total (% of internal resources) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.H2O.FWTL.ZS.csv | 222 | 3 | 85 |
ER.H2O.FWTL.K3 | Annual freshwater withdrawals, total (billion cubic meters) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.H2O.FWTL.K3.csv | 226 | 3 | 86 |
SI.SPR.PC40.ZG | Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.SPR.PC40.ZG.csv | 83 | 1 | 87 |
SI.SPR.PCAP.ZG | Annualized average growth rate in per capita real survey mean consumption or income, total population (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.SPR.PCAP.ZG.csv | 83 | 1 | 88 |
SH.HIV.ARTC.ZS | Antiretroviral therapy coverage (% of people living with HIV) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.HIV.ARTC.ZS.csv | 127 | 16 | 89 |
SH.HIV.PMTC.ZS | Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.HIV.PMTC.ZS.csv | 121 | 5 | 90 |
ER.FSH.AQUA.MT | Aquaculture production (metric tons) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.FSH.AQUA.MT.csv | 236 | 39 | 91 |
AG.LND.ARBL.ZS | Arable land (% of land area) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.ARBL.ZS.csv | 254 | 49 | 92 |
AG.LND.ARBL.HA.PC | Arable land (hectares per person) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.ARBL.HA.PC.csv | 254 | 49 | 93 |
AG.LND.ARBL.HA | Arable land (hectares) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.ARBL.HA.csv | 208 | 48 | 94 |
SH.STA.ARIC.ZS | ARI treatment (% of children under 5 taken to a health provider) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.ARIC.ZS.csv | 135 | 3 | 95 |
MS.MIL.TOTL.TF.ZS | Armed forces personnel (% of total labor force) | https://data.cmucreatelab.org/earthtime/WorldBank/MS.MIL.TOTL.TF.ZS.csv | 216 | 24 | 96 |
MS.MIL.TOTL.P1 | Armed forces personnel, total | https://data.cmucreatelab.org/earthtime/WorldBank/MS.MIL.TOTL.P1.csv | 219 | 26 | 97 |
MS.MIL.XPRT.KD | Arms exports (SIPRI trend indicator values) | https://data.cmucreatelab.org/earthtime/WorldBank/MS.MIL.XPRT.KD.csv | 163 | 17 | 98 |
MS.MIL.MPRT.KD | Arms imports (SIPRI trend indicator values) | https://data.cmucreatelab.org/earthtime/WorldBank/MS.MIL.MPRT.KD.csv | 231 | 35 | 99 |
FB.ATM.TOTL.P5 | Automated teller machines (ATMs) (per 100,000 adults) | https://data.cmucreatelab.org/earthtime/WorldBank/FB.ATM.TOTL.P5.csv | 229 | 10 | 100 |
DT.GPA.DPPG | Average grace period on new external debt commitments (years) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.GPA.DPPG.csv | 135 | 40 | 101 |
DT.GPA.OFFT | Average grace period on new external debt commitments, official (years) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.GPA.OFFT.csv | 135 | 40 | 102 |
DT.GPA.PRVT | Average grace period on new external debt commitments, private (years) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.GPA.PRVT.csv | 135 | 40 | 103 |
DT.GRE.DPPG | Average grant element on new external debt commitments (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.GRE.DPPG.csv | 135 | 40 | 104 |
DT.GRE.OFFT | Average grant element on new external debt commitments, official (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.GRE.OFFT.csv | 135 | 40 | 105 |
DT.GRE.PRVT | Average grant element on new external debt commitments, private (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.GRE.PRVT.csv | 135 | 40 | 106 |
DT.INR.DPPG | Average interest on new external debt commitments (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INR.DPPG.csv | 135 | 40 | 107 |
DT.INR.OFFT | Average interest on new external debt commitments, official (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INR.OFFT.csv | 135 | 40 | 108 |
DT.INR.PRVT | Average interest on new external debt commitments, private (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INR.PRVT.csv | 135 | 40 | 109 |
DT.MAT.DPPG | Average maturity on new external debt commitments (years) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.MAT.DPPG.csv | 135 | 40 | 110 |
DT.MAT.OFFT | Average maturity on new external debt commitments, official (years) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.MAT.OFFT.csv | 135 | 40 | 111 |
DT.MAT.PRVT | Average maturity on new external debt commitments, private (years) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.MAT.PRVT.csv | 135 | 40 | 112 |
AG.LND.PRCP.MM | Average precipitation in depth (mm per year) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.PRCP.MM.csv | 191 | 10 | 113 |
IC.CUS.DURS.EX | Average time to clear exports through customs (days) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.CUS.DURS.EX.csv | 184 | 1 | 114 |
SL.TLF.0714.SW.TM | Average working hours of children, study and work, ages 7-14 (hours per week) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.SW.TM.csv | 93 | 1 | 115 |
SL.TLF.0714.SW.FE.TM | Average working hours of children, study and work, female, ages 7-14 (hours per week) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.SW.FE.TM.csv | 93 | 1 | 116 |
SL.TLF.0714.SW.MA.TM | Average working hours of children, study and work, male, ages 7-14 (hours per week) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.SW.MA.TM.csv | 93 | 1 | 117 |
SL.TLF.0714.WK.TM | Average working hours of children, working only, ages 7-14 (hours per week) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.WK.TM.csv | 88 | 1 | 118 |
SL.TLF.0714.WK.FE.TM | Average working hours of children, working only, female, ages 7-14 (hours per week) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.WK.FE.TM.csv | 86 | 1 | 119 |
SL.TLF.0714.WK.MA.TM | Average working hours of children, working only, male, ages 7-14 (hours per week) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.WK.MA.TM.csv | 88 | 1 | 120 |
FB.BNK.CAPA.ZS | Bank capital to assets ratio (%) | https://data.cmucreatelab.org/earthtime/WorldBank/FB.BNK.CAPA.ZS.csv | 182 | 11 | 121 |
FD.RES.LIQU.AS.ZS | Bank liquid reserves to bank assets ratio (%) | https://data.cmucreatelab.org/earthtime/WorldBank/FD.RES.LIQU.AS.ZS.csv | 163 | 14 | 122 |
FB.AST.NPER.ZS | Bank nonperforming loans to total gross loans (%) | https://data.cmucreatelab.org/earthtime/WorldBank/FB.AST.NPER.ZS.csv | 187 | 14 | 123 |
VC.BTL.DETH | Battle-related deaths (number of people) | https://data.cmucreatelab.org/earthtime/WorldBank/VC.BTL.DETH.csv | 120 | 8 | 124 |
per_si_allsi.ben_q1_tot | Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits) | https://data.cmucreatelab.org/earthtime/WorldBank/per_si_allsi.ben_q1_tot.csv | 104 | 2 | 125 |
per_allsp.ben_q1_tot | Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits) | https://data.cmucreatelab.org/earthtime/WorldBank/per_allsp.ben_q1_tot.csv | 114 | 2 | 126 |
per_sa_allsa.ben_q1_tot | Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits) | https://data.cmucreatelab.org/earthtime/WorldBank/per_sa_allsa.ben_q1_tot.csv | 98 | 2 | 127 |
per_lm_alllm.ben_q1_tot | Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits) | https://data.cmucreatelab.org/earthtime/WorldBank/per_lm_alllm.ben_q1_tot.csv | 33 | 2 | 128 |
TM.TAX.MRCH.BC.ZS | Binding coverage, all products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MRCH.BC.ZS.csv | 165 | 15 | 129 |
TM.TAX.MANF.BC.ZS | Binding coverage, manufactured products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MANF.BC.ZS.csv | 165 | 15 | 130 |
TM.TAX.TCOM.BC.ZS | Binding coverage, primary products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.TCOM.BC.ZS.csv | 165 | 15 | 131 |
EN.BIR.THRD.NO | Bird species, threatened | https://data.cmucreatelab.org/earthtime/WorldBank/EN.BIR.THRD.NO.csv | 261 | 1 | 132 |
SP.DYN.CBRT.IN | Birth rate, crude (per 1,000 people) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.CBRT.IN.csv | 257 | 53 | 133 |
SH.STA.BRTC.ZS | Births attended by skilled health staff (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.BRTC.ZS.csv | 238 | 6 | 134 |
FB.CBK.BRWR.P3 | Borrowers from commercial banks (per 1,000 adults) | https://data.cmucreatelab.org/earthtime/WorldBank/FB.CBK.BRWR.P3.csv | 142 | 8 | 135 |
TM.TAX.MRCH.BR.ZS | Bound rate, simple mean, all products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MRCH.BR.ZS.csv | 164 | 15 | 136 |
TM.TAX.MANF.BR.ZS | Bound rate, simple mean, manufactured products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MANF.BR.ZS.csv | 164 | 15 | 137 |
TM.TAX.TCOM.BR.ZS | Bound rate, simple mean, primary products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.TCOM.BR.ZS.csv | 164 | 15 | 138 |
IC.FRM.BRIB.ZS | Bribery incidence (% of firms experiencing at least one bribe payment request) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.BRIB.ZS.csv | 186 | 1 | 139 |
FM.LBL.BMNY.GD.ZS | Broad money (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/FM.LBL.BMNY.GD.ZS.csv | 210 | 43 | 140 |
FM.LBL.BMNY.CN | Broad money (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/FM.LBL.BMNY.CN.csv | 168 | 43 | 141 |
FM.LBL.BMNY.ZG | Broad money growth (annual %) | https://data.cmucreatelab.org/earthtime/WorldBank/FM.LBL.BMNY.ZG.csv | 167 | 42 | 142 |
FM.LBL.BMNY.IR.ZS | Broad money to total reserves ratio | https://data.cmucreatelab.org/earthtime/WorldBank/FM.LBL.BMNY.IR.ZS.csv | 167 | 41 | 143 |
IQ.WEF.CUST.XQ | Burden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.WEF.CUST.XQ.csv | 195 | 9 | 144 |
IC.BUS.DISC.XQ | Business extent of disclosure index (0=less disclosure to 10=more disclosure) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.BUS.DISC.XQ.csv | 235 | 11 | 145 |
ER.FSH.CAPT.MT | Capture fisheries production (metric tons) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.FSH.CAPT.MT.csv | 258 | 51 | 146 |
SH.DTH.COMM.ZS | Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DTH.COMM.ZS.csv | 229 | 4 | 147 |
SH.DTH.INJR.ZS | Cause of death, by injury (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DTH.INJR.ZS.csv | 229 | 4 | 148 |
SH.DTH.NCOM.ZS | Cause of death, by non-communicable diseases (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DTH.NCOM.ZS.csv | 229 | 4 | 149 |
GC.DOD.TOTL.GD.ZS | Central government debt, total (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.DOD.TOTL.GD.ZS.csv | 134 | 12 | 150 |
GC.DOD.TOTL.CN | Central government debt, total (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.DOD.TOTL.CN.csv | 119 | 12 | 151 |
AG.PRD.CREL.MT | Cereal production (metric tons) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.PRD.CREL.MT.csv | 227 | 49 | 152 |
AG.YLD.CREL.KG | Cereal yield (kg per hectare) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.YLD.CREL.KG.csv | 227 | 49 | 153 |
NE.GDI.STKB.KN | Changes in inventories (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.STKB.KN.csv | 157 | 29 | 154 |
NE.GDI.STKB.CN | Changes in inventories (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.STKB.CN.csv | 185 | 37 | 155 |
NE.GDI.STKB.CD | Changes in inventories (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.STKB.CD.csv | 184 | 37 | 156 |
BM.GSR.ROYL.CD | Charges for the use of intellectual property, payments (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.GSR.ROYL.CD.csv | 213 | 27 | 157 |
BX.GSR.ROYL.CD | Charges for the use of intellectual property, receipts (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GSR.ROYL.CD.csv | 197 | 23 | 158 |
NV.MNF.CHEM.ZS.UN | Chemicals (% of value added in manufacturing) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.MNF.CHEM.ZS.UN.csv | 146 | 27 | 159 |
SL.AGR.0714.ZS | Child employment in agriculture (% of economically active children ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.AGR.0714.ZS.csv | 63 | 2 | 160 |
SL.AGR.0714.FE.ZS | Child employment in agriculture, female (% of female economically active children ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.AGR.0714.FE.ZS.csv | 63 | 2 | 161 |
SL.AGR.0714.MA.ZS | Child employment in agriculture, male (% of male economically active children ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.AGR.0714.MA.ZS.csv | 63 | 2 | 162 |
SL.MNF.0714.ZS | Child employment in manufacturing (% of economically active children ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.MNF.0714.ZS.csv | 63 | 2 | 163 |
SL.MNF.0714.FE.ZS | Child employment in manufacturing, female (% of female economically active children ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.MNF.0714.FE.ZS.csv | 61 | 2 | 164 |
SL.MNF.0714.MA.ZS | Child employment in manufacturing, male (% of male economically active children ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.MNF.0714.MA.ZS.csv | 61 | 2 | 165 |
SL.SRV.0714.ZS | Child employment in services (% of economically active children ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.SRV.0714.ZS.csv | 63 | 2 | 166 |
SL.SRV.0714.FE.ZS | Child employment in services, female (% of female economically active children ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.SRV.0714.FE.ZS.csv | 63 | 2 | 167 |
SL.SRV.0714.MA.ZS | Child employment in services, male (% of male economically active children ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.SRV.0714.MA.ZS.csv | 63 | 2 | 168 |
SH.HIV.0014 | Children (0-14) living with HIV | https://data.cmucreatelab.org/earthtime/WorldBank/SH.HIV.0014.csv | 100 | 26 | 169 |
SH.HIV.INCD.14 | Children (ages 0-14) newly infected with HIV | https://data.cmucreatelab.org/earthtime/WorldBank/SH.HIV.INCD.14.csv | 100 | 26 | 170 |
SL.TLF.0714.FE.ZS | Children in employment, female (% of female children ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.FE.ZS.csv | 100 | 2 | 171 |
SL.TLF.0714.MA.ZS | Children in employment, male (% of male children ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.MA.ZS.csv | 100 | 2 | 172 |
SL.SLF.0714.ZS | Children in employment, self-employed (% of children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.SLF.0714.ZS.csv | 56 | 1 | 173 |
SL.SLF.0714.FE.ZS | Children in employment, self-employed, female (% of female children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.SLF.0714.FE.ZS.csv | 56 | 1 | 174 |
SL.SLF.0714.MA.ZS | Children in employment, self-employed, male (% of male children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.SLF.0714.MA.ZS.csv | 56 | 1 | 175 |
SL.TLF.0714.SW.ZS | Children in employment, study and work (% of children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.SW.ZS.csv | 100 | 2 | 176 |
SL.TLF.0714.SW.FE.ZS | Children in employment, study and work, female (% of female children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.SW.FE.ZS.csv | 101 | 1 | 177 |
SL.TLF.0714.SW.MA.ZS | Children in employment, study and work, male (% of male children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.SW.MA.ZS.csv | 101 | 1 | 178 |
SL.TLF.0714.ZS | Children in employment, total (% of children ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.ZS.csv | 100 | 2 | 179 |
SL.FAM.0714.ZS | Children in employment, unpaid family workers (% of children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.FAM.0714.ZS.csv | 94 | 1 | 180 |
SL.FAM.0714.FE.ZS | Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.FAM.0714.FE.ZS.csv | 94 | 1 | 181 |
SL.FAM.0714.MA.ZS | Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.FAM.0714.MA.ZS.csv | 94 | 1 | 182 |
SL.WAG.0714.ZS | Children in employment, wage workers (% of children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.WAG.0714.ZS.csv | 92 | 1 | 183 |
SL.WAG.0714.FE.ZS | Children in employment, wage workers, female (% of female children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.WAG.0714.FE.ZS.csv | 92 | 1 | 184 |
SL.WAG.0714.MA.ZS | Children in employment, wage workers, male (% of male children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.WAG.0714.MA.ZS.csv | 92 | 1 | 185 |
SL.TLF.0714.WK.ZS | Children in employment, work only (% of children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.WK.ZS.csv | 100 | 2 | 186 |
SL.TLF.0714.WK.FE.ZS | Children in employment, work only, female (% of female children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.WK.FE.ZS.csv | 101 | 1 | 187 |
SL.TLF.0714.WK.MA.ZS | Children in employment, work only, male (% of male children in employment, ages 7-14) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.0714.WK.MA.ZS.csv | 101 | 1 | 188 |
SE.PRM.UNER.ZS | Children out of school (% of primary school age) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.UNER.ZS.csv | 238 | 24 | 189 |
SE.PRM.UNER.FE.ZS | Children out of school, female (% of female primary school age) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.UNER.FE.ZS.csv | 236 | 21 | 190 |
SE.PRM.UNER.MA.ZS | Children out of school, male (% of male primary school age) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.UNER.MA.ZS.csv | 236 | 21 | 191 |
SE.PRM.UNER | Children out of school, primary | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.UNER.csv | 238 | 24 | 192 |
SE.PRM.UNER.FE | Children out of school, primary, female | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.UNER.FE.csv | 236 | 21 | 193 |
SE.PRM.UNER.MA | Children out of school, primary, male | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.UNER.MA.csv | 236 | 21 | 194 |
SH.MLR.TRET.ZS | Children with fever receiving antimalarial drugs (% of children under age 5 with fever) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.MLR.TRET.ZS.csv | 81 | 3 | 195 |
FM.AST.CGOV.ZG.M3 | Claims on central government (annual growth as % of broad money) | https://data.cmucreatelab.org/earthtime/WorldBank/FM.AST.CGOV.ZG.M3.csv | 167 | 42 | 196 |
FS.AST.CGOV.GD.ZS | Claims on central government, etc. (% GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/FS.AST.CGOV.GD.ZS.csv | 230 | 43 | 197 |
FS.AST.DOMO.GD.ZS | Claims on other sectors of the domestic economy (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/FS.AST.DOMO.GD.ZS.csv | 186 | 14 | 198 |
FM.AST.DOMO.ZG.M3 | Claims on other sectors of the domestic economy (annual growth as % of broad money) | https://data.cmucreatelab.org/earthtime/WorldBank/FM.AST.DOMO.ZG.M3.csv | 135 | 14 | 199 |
FM.AST.PRVT.ZG.M3 | Claims on private sector (annual growth as % of broad money) | https://data.cmucreatelab.org/earthtime/WorldBank/FM.AST.PRVT.ZG.M3.csv | 167 | 42 | 200 |
EN.ATM.CO2E.KD.GD | CO2 emissions (kg per 2010 US$ of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.CO2E.KD.GD.csv | 240 | 40 | 201 |
EN.ATM.CO2E.PP.GD.KD | CO2 emissions (kg per 2011 PPP $ of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.CO2E.PP.GD.KD.csv | 237 | 22 | 202 |
EN.ATM.CO2E.PP.GD | CO2 emissions (kg per PPP $ of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.CO2E.PP.GD.csv | 237 | 22 | 203 |
EN.ATM.CO2E.KT | CO2 emissions (kt) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.CO2E.KT.csv | 251 | 47 | 204 |
EN.ATM.CO2E.PC | CO2 emissions (metric tons per capita) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.CO2E.PC.csv | 251 | 47 | 205 |
EN.CO2.ETOT.ZS | CO2 emissions from electricity and heat production, total (% of total fuel combustion) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.CO2.ETOT.ZS.csv | 187 | 43 | 206 |
EN.ATM.CO2E.GF.ZS | CO2 emissions from gaseous fuel consumption (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.CO2E.GF.ZS.csv | 251 | 48 | 207 |
EN.ATM.CO2E.GF.KT | CO2 emissions from gaseous fuel consumption (kt) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.CO2E.GF.KT.csv | 243 | 45 | 208 |
EN.ATM.CO2E.LF.ZS | CO2 emissions from liquid fuel consumption (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.CO2E.LF.ZS.csv | 251 | 48 | 209 |
EN.ATM.CO2E.LF.KT | CO2 emissions from liquid fuel consumption (kt) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.CO2E.LF.KT.csv | 251 | 47 | 210 |
EN.CO2.MANF.ZS | CO2 emissions from manufacturing industries and construction (% of total fuel combustion) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.CO2.MANF.ZS.csv | 187 | 43 | 211 |
EN.CO2.OTHX.ZS | CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.CO2.OTHX.ZS.csv | 187 | 43 | 212 |
EN.CO2.BLDG.ZS | CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.CO2.BLDG.ZS.csv | 187 | 43 | 213 |
EN.ATM.CO2E.SF.ZS | CO2 emissions from solid fuel consumption (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.CO2E.SF.ZS.csv | 251 | 48 | 214 |
EN.ATM.CO2E.SF.KT | CO2 emissions from solid fuel consumption (kt) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.CO2E.SF.KT.csv | 236 | 47 | 215 |
EN.CO2.TRAN.ZS | CO2 emissions from transport (% of total fuel combustion) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.CO2.TRAN.ZS.csv | 187 | 43 | 216 |
EN.ATM.CO2E.EG.ZS | CO2 intensity (kg per kg of oil equivalent energy use) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.CO2E.EG.ZS.csv | 218 | 35 | 217 |
NY.GDP.COAL.RT.ZS | Coal rents (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.COAL.RT.ZS.csv | 241 | 37 | 218 |
EG.USE.CRNW.ZS | Combustible renewables and waste (% of total energy) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.USE.CRNW.ZS.csv | 187 | 43 | 219 |
FB.CBK.BRCH.P5 | Commercial bank branches (per 100,000 adults) | https://data.cmucreatelab.org/earthtime/WorldBank/FB.CBK.BRCH.P5.csv | 231 | 11 | 220 |
DT.NFL.PCBO.CD | Commercial banks and other lending (PPG + PNG) (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.PCBO.CD.csv | 130 | 29 | 221 |
TX.VAL.SERV.CD.WT | Commercial service exports (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.SERV.CD.WT.csv | 236 | 31 | 222 |
TM.VAL.SERV.CD.WT | Commercial service imports (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.SERV.CD.WT.csv | 238 | 31 | 223 |
DT.COM.MIBR.CD | Commitments, IBRD (COM, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.COM.MIBR.CD.csv | 135 | 40 | 224 |
DT.COM.MIDA.CD | Commitments, IDA (COM, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.COM.MIDA.CD.csv | 135 | 40 | 225 |
DT.COM.OFFT.CD | Commitments, official creditors (COM, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.COM.OFFT.CD.csv | 135 | 40 | 226 |
DT.COM.PRVT.CD | Commitments, private creditors (COM, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.COM.PRVT.CD.csv | 135 | 40 | 227 |
DT.COM.DPPG.CD | Commitments, public and publicly guaranteed (COM, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.COM.DPPG.CD.csv | 135 | 40 | 228 |
BX.GSR.CMCP.ZS | Communications, computer, etc. (% of service exports, BoP) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GSR.CMCP.ZS.csv | 237 | 30 | 229 |
BM.GSR.CMCP.ZS | Communications, computer, etc. (% of service imports, BoP) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.GSR.CMCP.ZS.csv | 237 | 30 | 230 |
SH.MED.CMHW.P3 | Community health workers (per 1,000 people) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.MED.CMHW.P3.csv | 76 | 2 | 231 |
GC.XPN.COMP.ZS | Compensation of employees (% of expense) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.COMP.ZS.csv | 200 | 21 | 232 |
GC.XPN.COMP.CN | Compensation of employees (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.COMP.CN.csv | 156 | 22 | 233 |
SP.REG.BRTH.ZS | Completeness of birth registration (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.REG.BRTH.ZS.csv | 208 | 2 | 234 |
SP.REG.BRTH.RU.ZS | Completeness of birth registration, rural (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.REG.BRTH.RU.ZS.csv | 116 | 2 | 235 |
SP.REG.BRTH.UR.ZS | Completeness of birth registration, urban (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.REG.BRTH.UR.ZS.csv | 116 | 2 | 236 |
SP.REG.DTHS.ZS | Completeness of death registration with cause-of-death information (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.REG.DTHS.ZS.csv | 145 | 3 | 237 |
SP.DTH.INFR.ZS | Completeness of infant death reporting (% of reported infant deaths to estimated infant deaths) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DTH.INFR.ZS.csv | 135 | 2 | 238 |
SP.DTH.REPT.ZS | Completeness of total death reporting (% of reported total deaths to estimated total deaths) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DTH.REPT.ZS.csv | 166 | 2 | 239 |
SE.COM.DURS | Compulsory education, duration (years) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.COM.DURS.csv | 238 | 15 | 240 |
TX.VAL.OTHR.ZS.WT | Computer, communications and other services (% of commercial service exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.OTHR.ZS.WT.csv | 236 | 30 | 241 |
TM.VAL.OTHR.ZS.WT | Computer, communications and other services (% of commercial service imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.OTHR.ZS.WT.csv | 237 | 31 | 242 |
DT.DOD.ALLC.ZS | Concessional debt (% of total external debt) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.ALLC.ZS.csv | 135 | 40 | 243 |
SH.CON.1524.FE.ZS | Condom use, population ages 15-24, female (% of females ages 15-24) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.CON.1524.FE.ZS.csv | 73 | 2 | 244 |
SH.CON.1524.MA.ZS | Condom use, population ages 15-24, male (% of males ages 15-24) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.CON.1524.MA.ZS.csv | 65 | 2 | 245 |
FP.CPI.TOTL | Consumer price index (2010 = 100) | https://data.cmucreatelab.org/earthtime/WorldBank/FP.CPI.TOTL.csv | 182 | 40 | 246 |
SN.ITK.SALT.ZS | Consumption of iodized salt (% of households) | https://data.cmucreatelab.org/earthtime/WorldBank/SN.ITK.SALT.ZS.csv | 154 | 1 | 247 |
IS.SHP.GOOD.TU | Container port traffic (TEU: 20 foot equivalent units) | https://data.cmucreatelab.org/earthtime/WorldBank/IS.SHP.GOOD.TU.csv | 156 | 11 | 248 |
SP.DYN.CONU.ZS | Contraceptive prevalence, any methods (% of women ages 15-49) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.CONU.ZS.csv | 232 | 5 | 249 |
SP.DYN.CONM.ZS | Contraceptive prevalence, modern methods (% of women ages 15-49) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.CONM.ZS.csv | 227 | 5 | 250 |
SL.FAM.WORK.FE.ZS | Contributing family workers, female (% of female employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.FAM.WORK.FE.ZS.csv | 176 | 13 | 251 |
SL.FAM.WORK.MA.ZS | Contributing family workers, male (% of male employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.FAM.WORK.MA.ZS.csv | 175 | 13 | 252 |
SL.FAM.WORK.ZS | Contributing family workers, total (% of total employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.FAM.WORK.ZS.csv | 179 | 13 | 253 |
IC.REG.COST.PC.ZS | Cost of business start-up procedures (% of GNI per capita) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.REG.COST.PC.ZS.csv | 235 | 13 | 254 |
IC.REG.COST.PC.FE.ZS | Cost of business start-up procedures, female (% of GNI per capita) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.REG.COST.PC.FE.ZS.csv | 235 | 13 | 255 |
IC.REG.COST.PC.MA.ZS | Cost of business start-up procedures, male (% of GNI per capita) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.REG.COST.PC.MA.ZS.csv | 235 | 13 | 256 |
IC.EXP.COST.CD | Cost to export (US$ per container) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.EXP.COST.CD.csv | 234 | 9 | 257 |
IC.EXP.CSBC.CD | Cost to export, border compliance (US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.EXP.CSBC.CD.csv | 233 | 2 | 258 |
IC.EXP.CSDC.CD | Cost to export, documentary compliance (US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.EXP.CSDC.CD.csv | 233 | 2 | 259 |
IC.IMP.COST.CD | Cost to import (US$ per container) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.IMP.COST.CD.csv | 234 | 9 | 260 |
IC.IMP.CSBC.CD | Cost to import, border compliance (US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.IMP.CSBC.CD.csv | 233 | 2 | 261 |
IC.IMP.CSDC.CD | Cost to import, documentary compliance (US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.IMP.CSDC.CD.csv | 233 | 2 | 262 |
per_si_allsi.cov_pop_tot | Coverage of social insurance programs (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_si_allsi.cov_pop_tot.csv | 108 | 2 | 263 |
per_si_allsi.cov_q2_tot | Coverage of social insurance programs in 2nd quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_si_allsi.cov_q2_tot.csv | 108 | 2 | 264 |
per_si_allsi.cov_q3_tot | Coverage of social insurance programs in 3rd quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_si_allsi.cov_q3_tot.csv | 108 | 2 | 265 |
per_si_allsi.cov_q4_tot | Coverage of social insurance programs in 4th quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_si_allsi.cov_q4_tot.csv | 108 | 2 | 266 |
per_si_allsi.cov_q1_tot | Coverage of social insurance programs in poorest quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_si_allsi.cov_q1_tot.csv | 108 | 2 | 267 |
per_si_allsi.cov_q5_tot | Coverage of social insurance programs in richest quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_si_allsi.cov_q5_tot.csv | 108 | 2 | 268 |
per_allsp.cov_pop_tot | Coverage of social protection and labor programs (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_allsp.cov_pop_tot.csv | 122 | 2 | 269 |
per_sa_allsa.cov_pop_tot | Coverage of social safety net programs (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_sa_allsa.cov_pop_tot.csv | 111 | 2 | 270 |
per_sa_allsa.cov_q2_tot | Coverage of social safety net programs in 2nd quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_sa_allsa.cov_q2_tot.csv | 111 | 2 | 271 |
per_sa_allsa.cov_q3_tot | Coverage of social safety net programs in 3rd quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_sa_allsa.cov_q3_tot.csv | 111 | 2 | 272 |
per_sa_allsa.cov_q4_tot | Coverage of social safety net programs in 4th quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_sa_allsa.cov_q4_tot.csv | 111 | 2 | 273 |
per_sa_allsa.cov_q1_tot | Coverage of social safety net programs in poorest quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_sa_allsa.cov_q1_tot.csv | 111 | 2 | 274 |
per_sa_allsa.cov_q5_tot | Coverage of social safety net programs in richest quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_sa_allsa.cov_q5_tot.csv | 111 | 2 | 275 |
per_lm_alllm.cov_pop_tot | Coverage of unemployment benefits and ALMP (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_lm_alllm.cov_pop_tot.csv | 56 | 2 | 276 |
per_lm_alllm.cov_q2_tot | Coverage of unemployment benefits and ALMP in 2nd quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_lm_alllm.cov_q2_tot.csv | 56 | 2 | 277 |
per_lm_alllm.cov_q3_tot | Coverage of unemployment benefits and ALMP in 3rd quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_lm_alllm.cov_q3_tot.csv | 56 | 2 | 278 |
per_lm_alllm.cov_q4_tot | Coverage of unemployment benefits and ALMP in 4th quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_lm_alllm.cov_q4_tot.csv | 56 | 2 | 279 |
per_lm_alllm.cov_q1_tot | Coverage of unemployment benefits and ALMP in poorest quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_lm_alllm.cov_q1_tot.csv | 56 | 2 | 280 |
per_lm_alllm.cov_q5_tot | Coverage of unemployment benefits and ALMP in richest quintile (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/per_lm_alllm.cov_q5_tot.csv | 56 | 2 | 281 |
IQ.CPA.HRES.XQ | CPIA building human resources rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.HRES.XQ.csv | 125 | 10 | 282 |
IQ.CPA.BREG.XQ | CPIA business regulatory environment rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.BREG.XQ.csv | 125 | 10 | 283 |
IQ.CPA.DEBT.XQ | CPIA debt policy rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.DEBT.XQ.csv | 125 | 10 | 284 |
IQ.CPA.ECON.XQ | CPIA economic management cluster average (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.ECON.XQ.csv | 125 | 10 | 285 |
IQ.CPA.REVN.XQ | CPIA efficiency of revenue mobilization rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.REVN.XQ.csv | 125 | 10 | 286 |
IQ.CPA.PRES.XQ | CPIA equity of public resource use rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.PRES.XQ.csv | 125 | 10 | 287 |
IQ.CPA.FINS.XQ | CPIA financial sector rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.FINS.XQ.csv | 125 | 10 | 288 |
IQ.CPA.FISP.XQ | CPIA fiscal policy rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.FISP.XQ.csv | 125 | 10 | 289 |
IQ.CPA.GNDR.XQ | CPIA gender equality rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.GNDR.XQ.csv | 125 | 10 | 290 |
IQ.CPA.MACR.XQ | CPIA macroeconomic management rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.MACR.XQ.csv | 125 | 10 | 291 |
IQ.CPA.SOCI.XQ | CPIA policies for social inclusion/equity cluster average (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.SOCI.XQ.csv | 124 | 10 | 292 |
IQ.CPA.ENVR.XQ | CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.ENVR.XQ.csv | 125 | 10 | 293 |
IQ.CPA.PROP.XQ | CPIA property rights and rule-based governance rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.PROP.XQ.csv | 125 | 10 | 294 |
IQ.CPA.PUBS.XQ | CPIA public sector management and institutions cluster average (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.PUBS.XQ.csv | 125 | 10 | 295 |
IQ.CPA.FINQ.XQ | CPIA quality of budgetary and financial management rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.FINQ.XQ.csv | 125 | 10 | 296 |
IQ.CPA.PADM.XQ | CPIA quality of public administration rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.PADM.XQ.csv | 125 | 10 | 297 |
IQ.CPA.PROT.XQ | CPIA social protection rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.PROT.XQ.csv | 123 | 10 | 298 |
IQ.CPA.STRC.XQ | CPIA structural policies cluster average (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.STRC.XQ.csv | 125 | 10 | 299 |
IQ.CPA.TRAD.XQ | CPIA trade rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.TRAD.XQ.csv | 125 | 10 | 300 |
IQ.CPA.TRAN.XQ | CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.TRAN.XQ.csv | 125 | 10 | 301 |
AG.PRD.CROP.XD | Crop production index (2004-2006 = 100) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.PRD.CROP.XD.csv | 246 | 50 | 302 |
DT.CUR.OTHC.ZS | Currency composition of PPG debt, all other currencies (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.CUR.OTHC.ZS.csv | 135 | 40 | 303 |
DT.CUR.DMAK.ZS | Currency composition of PPG debt, Deutsche mark (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.CUR.DMAK.ZS.csv | 133 | 26 | 304 |
DT.CUR.EURO.ZS | Currency composition of PPG debt, Euro (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.CUR.EURO.ZS.csv | 135 | 14 | 305 |
DT.CUR.FFRC.ZS | Currency composition of PPG debt, French franc (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.CUR.FFRC.ZS.csv | 133 | 26 | 306 |
DT.CUR.JYEN.ZS | Currency composition of PPG debt, Japanese yen (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.CUR.JYEN.ZS.csv | 135 | 40 | 307 |
DT.CUR.MULC.ZS | Currency composition of PPG debt, Multiple currencies (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.CUR.MULC.ZS.csv | 135 | 40 | 308 |
DT.CUR.UKPS.ZS | Currency composition of PPG debt, Pound sterling (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.CUR.UKPS.ZS.csv | 135 | 40 | 309 |
DT.CUR.SDRW.ZS | Currency composition of PPG debt, SDR (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.CUR.SDRW.ZS.csv | 135 | 40 | 310 |
DT.CUR.SWFR.ZS | Currency composition of PPG debt, Swiss franc (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.CUR.SWFR.ZS.csv | 135 | 40 | 311 |
DT.CUR.USDL.ZS | Currency composition of PPG debt, U.S. dollars (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.CUR.USDL.ZS.csv | 135 | 40 | 312 |
BN.CAB.XOKA.GD.ZS | Current account balance (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/BN.CAB.XOKA.GD.ZS.csv | 189 | 30 | 313 |
BN.CAB.XOKA.CD | Current account balance (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BN.CAB.XOKA.CD.csv | 194 | 31 | 314 |
SE.XPD.CPRM.ZS | Current education expenditure, primary (% of total expenditure in primary public institutions) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.CPRM.ZS.csv | 183 | 7 | 315 |
SE.XPD.CSEC.ZS | Current education expenditure, secondary (% of total expenditure in secondary public institutions) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.CSEC.ZS.csv | 186 | 7 | 316 |
SE.XPD.CTER.ZS | Current education expenditure, tertiary (% of total expenditure in tertiary public institutions) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.CTER.ZS.csv | 185 | 7 | 317 |
SE.XPD.CTOT.ZS | Current education expenditure, total (% of total expenditure in public institutions) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.CTOT.ZS.csv | 196 | 7 | 318 |
GC.TAX.IMPT.ZS | Customs and other import duties (% of tax revenue) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.IMPT.ZS.csv | 149 | 18 | 319 |
GC.TAX.IMPT.CN | Customs and other import duties (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.IMPT.CN.csv | 150 | 19 | 320 |
SP.DYN.CDRT.IN | Death rate, crude (per 1,000 people) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.CDRT.IN.csv | 257 | 53 | 321 |
DT.DSB.DPPG.CD | Debt buyback (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DSB.DPPG.CD.csv | 135 | 26 | 322 |
DT.DOD.MDRI.CD | Debt forgiveness grants (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.MDRI.CD.csv | 135 | 40 | 323 |
DT.DFR.DPPG.CD | Debt forgiveness or reduction (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DFR.DPPG.CD.csv | 135 | 26 | 324 |
DT.TDS.DPPF.XP.ZS | Debt service (PPG and IMF only, % of exports of goods, services and primary income) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.DPPF.XP.ZS.csv | 156 | 33 | 325 |
DT.TDS.DLXF.CD | Debt service on external debt, long-term (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.DLXF.CD.csv | 135 | 40 | 326 |
DT.TDS.DPNG.CD | Debt service on external debt, private nonguaranteed (PNG) (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.DPNG.CD.csv | 135 | 40 | 327 |
DT.TDS.DPPG.CD | Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.DPPG.CD.csv | 135 | 40 | 328 |
DT.TDS.DECT.CD | Debt service on external debt, total (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.DECT.CD.csv | 135 | 40 | 329 |
DT.DSF.DPPG.CD | Debt stock reduction (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DSF.DPPG.CD.csv | 135 | 26 | 330 |
DT.DXR.DPPG.CD | Debt stock rescheduled (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DXR.DPPG.CD.csv | 135 | 26 | 331 |
PA.NUS.ATLS | DEC alternative conversion factor (LCU per US$) | https://data.cmucreatelab.org/earthtime/WorldBank/PA.NUS.ATLS.csv | 210 | 47 | 332 |
IC.ELC.DURS | Delay in obtaining an electrical connection (days) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.ELC.DURS.csv | 189 | 1 | 333 |
SH.FPL.SATM.ZS | Demand for family planning satisfied by modern methods (% of married women with demand for family planning) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.FPL.SATM.ZS.csv | 174 | 2 | 334 |
FR.INR.DPST | Deposit interest rate (%) | https://data.cmucreatelab.org/earthtime/WorldBank/FR.INR.DPST.csv | 176 | 29 | 335 |
FB.CBK.DPTR.P3 | Depositors with commercial banks (per 1,000 adults) | https://data.cmucreatelab.org/earthtime/WorldBank/FB.CBK.DPTR.P3.csv | 131 | 9 | 336 |
IC.CRD.INFO.XQ | Depth of credit information index (0=low to 8=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.CRD.INFO.XQ.csv | 235 | 3 | 337 |
SN.ITK.DFCT | Depth of the food deficit (kilocalories per person per day) | https://data.cmucreatelab.org/earthtime/WorldBank/SN.ITK.DFCT.csv | 152 | 24 | 338 |
SH.STA.DIAB.ZS | Diabetes prevalence (% of population ages 20 to 79) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.DIAB.ZS.csv | 254 | 1 | 339 |
SH.STA.ORCF.ZS | Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.ORCF.ZS.csv | 130 | 2 | 340 |
SH.STA.ORTH | Diarrhea treatment (% of children under 5 who received ORS packet) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.ORTH.csv | 183 | 4 | 341 |
EN.CLC.DRSK.XQ | Disaster risk reduction progress score (1-5 scale; 5=best) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.CLC.DRSK.XQ.csv | 83 | 1 | 342 |
DT.DIS.DLXF.CD | Disbursements on external debt, long-term (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.DLXF.CD.csv | 135 | 41 | 343 |
DT.DIS.DLTF.CD | Disbursements on external debt, long-term + IMF (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.DLTF.CD.csv | 135 | 40 | 344 |
DT.DIS.DPNG.CD | Disbursements on external debt, private nonguaranteed (PNG) (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.DPNG.CD.csv | 135 | 40 | 345 |
DT.DIS.DPPG.CD | Disbursements on external debt, public and publicly guaranteed (PPG) (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.DPPG.CD.csv | 135 | 40 | 346 |
NY.GDP.DISC.KN | Discrepancy in expenditure estimate of GDP (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.DISC.KN.csv | 165 | 30 | 347 |
NY.GDP.DISC.CN | Discrepancy in expenditure estimate of GDP (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.DISC.CN.csv | 188 | 38 | 348 |
IC.BUS.DFRN.XQ | Distance to frontier score (0=lowest performance to 100=frontier) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.BUS.DFRN.XQ.csv | 235 | 7 | 349 |
IC.EXP.DOCS | Documents to export (number) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.EXP.DOCS.csv | 228 | 9 | 350 |
IC.IMP.DOCS | Documents to import (number) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.IMP.DOCS.csv | 228 | 9 | 351 |
FS.AST.DOMS.GD.ZS | Domestic credit provided by financial sector (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/FS.AST.DOMS.GD.ZS.csv | 230 | 43 | 352 |
FS.AST.PRVT.GD.ZS | Domestic credit to private sector (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/FS.AST.PRVT.GD.ZS.csv | 230 | 43 | 353 |
FD.AST.PRVT.GD.ZS | Domestic credit to private sector by banks (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/FD.AST.PRVT.GD.ZS.csv | 230 | 43 | 354 |
EN.CLC.MDAT.ZS | Droughts, floods, extreme temperatures (% of population, average 1990-2009) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.CLC.MDAT.ZS.csv | 168 | 1 | 355 |
IC.BUS.EASE.XQ | Ease of doing business index (1=most business-friendly regulations) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.BUS.EASE.XQ.csv | 235 | 2 | 356 |
DT.NFL.NEBR.CD | EBRD, private nonguaranteed (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.NEBR.CD.csv | 135 | 40 | 357 |
SE.TER.CUAT.BA.FE.ZS | Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.CUAT.BA.FE.ZS.csv | 92 | 2 | 358 |
SE.TER.CUAT.BA.MA.ZS | Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.CUAT.BA.MA.ZS.csv | 92 | 2 | 359 |
SE.TER.CUAT.BA.ZS | Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.CUAT.BA.ZS.csv | 92 | 2 | 360 |
SE.SEC.CUAT.LO.FE.ZS | Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.CUAT.LO.FE.ZS.csv | 177 | 5 | 361 |
SE.SEC.CUAT.LO.MA.ZS | Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.CUAT.LO.MA.ZS.csv | 177 | 5 | 362 |
SE.SEC.CUAT.LO.ZS | Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.CUAT.LO.ZS.csv | 177 | 5 | 363 |
SE.SEC.CUAT.PO.FE.ZS | Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.CUAT.PO.FE.ZS.csv | 172 | 4 | 364 |
SE.SEC.CUAT.PO.MA.ZS | Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.CUAT.PO.MA.ZS.csv | 172 | 4 | 365 |
SE.SEC.CUAT.PO.ZS | Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.CUAT.PO.ZS.csv | 172 | 4 | 366 |
SE.PRM.CUAT.FE.ZS | Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.CUAT.FE.ZS.csv | 156 | 4 | 367 |
SE.PRM.CUAT.MA.ZS | Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.CUAT.MA.ZS.csv | 156 | 4 | 368 |
SE.PRM.CUAT.ZS | Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.CUAT.ZS.csv | 156 | 4 | 369 |
SE.TER.CUAT.ST.FE.ZS | Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.CUAT.ST.FE.ZS.csv | 153 | 4 | 370 |
SE.TER.CUAT.ST.MA.ZS | Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.CUAT.ST.MA.ZS.csv | 153 | 4 | 371 |
SE.TER.CUAT.ST.ZS | Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.CUAT.ST.ZS.csv | 153 | 4 | 372 |
SE.SEC.CUAT.UP.FE.ZS | Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.CUAT.UP.FE.ZS.csv | 167 | 5 | 373 |
SE.SEC.CUAT.UP.MA.ZS | Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.CUAT.UP.MA.ZS.csv | 167 | 5 | 374 |
SE.SEC.CUAT.UP.ZS | Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.CUAT.UP.ZS.csv | 168 | 5 | 375 |
SE.TER.CUAT.MS.FE.ZS | Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.CUAT.MS.FE.ZS.csv | 84 | 1 | 376 |
SE.TER.CUAT.MS.MA.ZS | Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.CUAT.MS.MA.ZS.csv | 84 | 1 | 377 |
SE.TER.CUAT.MS.ZS | Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.CUAT.MS.ZS.csv | 84 | 1 | 378 |
SE.TER.CUAT.DO.FE.ZS | Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.CUAT.DO.FE.ZS.csv | 73 | 1 | 379 |
SE.TER.CUAT.DO.MA.ZS | Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.CUAT.DO.MA.ZS.csv | 73 | 1 | 380 |
SE.TER.CUAT.DO.ZS | Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.CUAT.DO.ZS.csv | 73 | 1 | 381 |
EG.USE.ELEC.KH.PC | Electric power consumption (kWh per capita) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.USE.ELEC.KH.PC.csv | 184 | 41 | 382 |
EG.ELC.LOSS.ZS | Electric power transmission and distribution losses (% of output) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.LOSS.ZS.csv | 187 | 43 | 383 |
EG.ELC.COAL.ZS | Electricity production from coal sources (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.COAL.ZS.csv | 185 | 42 | 384 |
EG.ELC.HYRO.ZS | Electricity production from hydroelectric sources (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.HYRO.ZS.csv | 185 | 42 | 385 |
EG.ELC.NGAS.ZS | Electricity production from natural gas sources (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.NGAS.ZS.csv | 185 | 42 | 386 |
EG.ELC.NUCL.ZS | Electricity production from nuclear sources (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.NUCL.ZS.csv | 185 | 42 | 387 |
EG.ELC.PETR.ZS | Electricity production from oil sources (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.PETR.ZS.csv | 185 | 42 | 388 |
EG.ELC.FOSL.ZS | Electricity production from oil, gas and coal sources (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.FOSL.ZS.csv | 185 | 42 | 389 |
EG.ELC.RNWX.ZS | Electricity production from renewable sources, excluding hydroelectric (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.RNWX.ZS.csv | 185 | 42 | 390 |
EG.ELC.RNWX.KH | Electricity production from renewable sources, excluding hydroelectric (kWh) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.RNWX.KH.csv | 187 | 43 | 391 |
SM.EMI.TERT.ZS | Emigration rate of tertiary educated (% of total tertiary educated population) | https://data.cmucreatelab.org/earthtime/WorldBank/SM.EMI.TERT.ZS.csv | 234 | 2 | 392 |
SL.EMP.MPYR.FE.ZS | Employers, female (% of female employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.MPYR.FE.ZS.csv | 171 | 12 | 393 |
SL.EMP.MPYR.MA.ZS | Employers, male (% of male employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.MPYR.MA.ZS.csv | 171 | 12 | 394 |
SL.EMP.MPYR.ZS | Employers, total (% of total employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.MPYR.ZS.csv | 175 | 13 | 395 |
SL.AGR.EMPL.ZS | Employment in agriculture (% of total employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.AGR.EMPL.ZS.csv | 206 | 18 | 396 |
SL.AGR.EMPL.FE.ZS | Employment in agriculture, female (% of female employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.AGR.EMPL.FE.ZS.csv | 187 | 17 | 397 |
SL.AGR.EMPL.MA.ZS | Employment in agriculture, male (% of male employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.AGR.EMPL.MA.ZS.csv | 187 | 17 | 398 |
SL.IND.EMPL.ZS | Employment in industry (% of total employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.IND.EMPL.ZS.csv | 206 | 18 | 399 |
SL.IND.EMPL.FE.ZS | Employment in industry, female (% of female employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.IND.EMPL.FE.ZS.csv | 187 | 17 | 400 |
SL.IND.EMPL.MA.ZS | Employment in industry, male (% of male employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.IND.EMPL.MA.ZS.csv | 187 | 17 | 401 |
SL.SRV.EMPL.ZS | Employment in services (% of total employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.SRV.EMPL.ZS.csv | 206 | 18 | 402 |
SL.SRV.EMPL.FE.ZS | Employment in services, female (% of female employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.SRV.EMPL.FE.ZS.csv | 187 | 17 | 403 |
SL.SRV.EMPL.MA.ZS | Employment in services, male (% of male employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.SRV.EMPL.MA.ZS.csv | 187 | 17 | 404 |
SL.EMP.TOTL.SP.FE.ZS | Employment to population ratio, 15+, female (%) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.TOTL.SP.FE.ZS.csv | 232 | 26 | 405 |
SL.EMP.TOTL.SP.FE.NE.ZS | Employment to population ratio, 15+, female (%) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.TOTL.SP.FE.NE.ZS.csv | 201 | 14 | 406 |
SL.EMP.TOTL.SP.MA.ZS | Employment to population ratio, 15+, male (%) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.TOTL.SP.MA.ZS.csv | 232 | 26 | 407 |
SL.EMP.TOTL.SP.MA.NE.ZS | Employment to population ratio, 15+, male (%) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.TOTL.SP.MA.NE.ZS.csv | 201 | 14 | 408 |
SL.EMP.TOTL.SP.ZS | Employment to population ratio, 15+, total (%) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.TOTL.SP.ZS.csv | 232 | 26 | 409 |
SL.EMP.TOTL.SP.NE.ZS | Employment to population ratio, 15+, total (%) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.TOTL.SP.NE.ZS.csv | 221 | 14 | 410 |
SL.EMP.1524.SP.FE.ZS | Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.1524.SP.FE.ZS.csv | 232 | 26 | 411 |
SL.EMP.1524.SP.FE.NE.ZS | Employment to population ratio, ages 15-24, female (%) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.1524.SP.FE.NE.ZS.csv | 158 | 11 | 412 |
SL.EMP.1524.SP.MA.ZS | Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.1524.SP.MA.ZS.csv | 232 | 26 | 413 |
SL.EMP.1524.SP.MA.NE.ZS | Employment to population ratio, ages 15-24, male (%) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.1524.SP.MA.NE.ZS.csv | 158 | 11 | 414 |
SL.EMP.1524.SP.ZS | Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.1524.SP.ZS.csv | 232 | 26 | 415 |
SL.EMP.1524.SP.NE.ZS | Employment to population ratio, ages 15-24, total (%) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.1524.SP.NE.ZS.csv | 161 | 11 | 416 |
EG.IMP.CONS.ZS | Energy imports, net (% of energy use) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.IMP.CONS.ZS.csv | 187 | 43 | 417 |
EG.EGY.PRIM.PP.KD | Energy intensity level of primary energy (MJ/$2011 PPP GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.EGY.PRIM.PP.KD.csv | 239 | 24 | 418 |
EN.ATM.METH.EG.ZS | Energy related methane emissions (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.METH.EG.ZS.csv | 250 | 38 | 419 |
EG.USE.PCAP.KG.OE | Energy use (kg of oil equivalent per capita) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.USE.PCAP.KG.OE.csv | 218 | 36 | 420 |
EG.USE.COMM.GD.PP.KD | Energy use (kg of oil equivalent) per $1,000 GDP (constant 2011 PPP) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.USE.COMM.GD.PP.KD.csv | 212 | 21 | 421 |
SH.STA.BFED.ZS | Exclusive breastfeeding (% of children under 6 months) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.BFED.ZS.csv | 178 | 2 | 422 |
SE.XPD.PRIM.ZS | Expenditure on primary education (% of government expenditure on education) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.PRIM.ZS.csv | 221 | 14 | 423 |
SE.XPD.SECO.ZS | Expenditure on secondary education (% of government expenditure on education) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.SECO.ZS.csv | 222 | 14 | 424 |
SE.XPD.TERT.ZS | Expenditure on tertiary education (% of government expenditure on education) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.TERT.ZS.csv | 238 | 15 | 425 |
GC.XPN.TOTL.GD.ZS | Expense (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.TOTL.GD.ZS.csv | 190 | 22 | 426 |
GC.XPN.TOTL.CN | Expense (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.TOTL.CN.csv | 157 | 22 | 427 |
TX.VAL.MRCH.XD.WD | Export value index (2000 = 100) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.XD.WD.csv | 203 | 30 | 428 |
TX.QTY.MRCH.XD.WD | Export volume index (2000 = 100) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.QTY.MRCH.XD.WD.csv | 203 | 24 | 429 |
NY.EXP.CAPM.KN | Exports as a capacity to import (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.EXP.CAPM.KN.csv | 175 | 35 | 430 |
NE.EXP.GNFS.ZS | Exports of goods and services (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.EXP.GNFS.ZS.csv | 244 | 42 | 431 |
NE.EXP.GNFS.KD.ZG | Exports of goods and services (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.EXP.GNFS.KD.ZG.csv | 214 | 34 | 432 |
BX.GSR.GNFS.CD | Exports of goods and services (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GSR.GNFS.CD.csv | 235 | 31 | 433 |
NE.EXP.GNFS.KD | Exports of goods and services (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.EXP.GNFS.KD.csv | 235 | 31 | 434 |
NE.EXP.GNFS.KN | Exports of goods and services (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.EXP.GNFS.KN.csv | 175 | 36 | 435 |
NE.EXP.GNFS.CN | Exports of goods and services (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.EXP.GNFS.CN.csv | 198 | 41 | 436 |
NE.EXP.GNFS.CD | Exports of goods and services (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.EXP.GNFS.CD.csv | 244 | 41 | 437 |
BX.GSR.TOTL.CD | Exports of goods, services and primary income (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GSR.TOTL.CD.csv | 235 | 30 | 438 |
NE.RSB.GNFS.ZS | External balance on goods and services (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.RSB.GNFS.ZS.csv | 244 | 42 | 439 |
NE.RSB.GNFS.KN | External balance on goods and services (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.RSB.GNFS.KN.csv | 165 | 35 | 440 |
NE.RSB.GNFS.CN | External balance on goods and services (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.RSB.GNFS.CN.csv | 198 | 41 | 441 |
NE.RSB.GNFS.CD | External balance on goods and services (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.RSB.GNFS.CD.csv | 198 | 41 | 442 |
DT.DOD.DECT.EX.ZS | External debt stocks (% of exports of goods, services and primary income) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.DECT.EX.ZS.csv | 134 | 32 | 443 |
DT.DOD.DECT.GN.ZS | External debt stocks (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.DECT.GN.ZS.csv | 135 | 36 | 444 |
DT.DOD.ALLC.CD | External debt stocks, concessional (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.ALLC.CD.csv | 135 | 40 | 445 |
DT.DOD.DLXF.CD | External debt stocks, long-term (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.DLXF.CD.csv | 135 | 40 | 446 |
DT.DOD.PRVS.CD | External debt stocks, long-term private sector (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.PRVS.CD.csv | 135 | 40 | 447 |
DT.DOD.PUBS.CD | External debt stocks, long-term public sector (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.PUBS.CD.csv | 135 | 40 | 448 |
DT.DOD.DPNG.CD | External debt stocks, private nonguaranteed (PNG) (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.DPNG.CD.csv | 135 | 40 | 449 |
DT.DOD.DPPG.CD | External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.DPPG.CD.csv | 135 | 40 | 450 |
DT.DOD.DSTC.CD | External debt stocks, short-term (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.DSTC.CD.csv | 135 | 40 | 451 |
DT.DOD.DECT.CD | External debt stocks, total (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.DECT.CD.csv | 135 | 40 | 452 |
DT.DOD.VTOT.CD | External debt stocks, variable rate (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.VTOT.CD.csv | 135 | 40 | 453 |
SH.XPD.EXTR.ZS | External resources for health (% of total expenditure on health) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.XPD.EXTR.ZS.csv | 218 | 18 | 454 |
SH.STA.FGMS.ZS | Female genital mutilation prevalence (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.FGMS.ZS.csv | 28 | 2 | 455 |
SP.HOU.FEMA.ZS | Female headed households (% of households with a female head) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.HOU.FEMA.ZS.csv | 75 | 3 | 456 |
SL.EMP.SMGT.FE.ZS | Female share of employment in senior and middle management (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.SMGT.FE.ZS.csv | 69 | 7 | 457 |
SP.DYN.TFRT.IN | Fertility rate, total (births per woman) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.TFRT.IN.csv | 254 | 53 | 458 |
AG.CON.FERT.PT.ZS | Fertilizer consumption (% of fertilizer production) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.CON.FERT.PT.ZS.csv | 132 | 12 | 459 |
AG.CON.FERT.ZS | Fertilizer consumption (kilograms per hectare of arable land) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.CON.FERT.ZS.csv | 207 | 12 | 460 |
NE.CON.TOTL.KD | Final consumption expenditure (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.TOTL.KD.csv | 219 | 32 | 461 |
NE.CON.TOTL.KN | Final consumption expenditure (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.TOTL.KN.csv | 165 | 34 | 462 |
NE.CON.TOTL.CN | Final consumption expenditure (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.TOTL.CN.csv | 187 | 39 | 463 |
NE.CON.TOTL.CD | Final consumption expenditure (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.TOTL.CD.csv | 187 | 39 | 464 |
NE.CON.TETC.ZS | Final consumption expenditure, etc. (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.TETC.ZS.csv | 190 | 39 | 465 |
NE.CON.TETC.KD.ZG | Final consumption expenditure, etc. (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.TETC.KD.ZG.csv | 207 | 33 | 466 |
NE.CON.TETC.KD | Final consumption expenditure, etc. (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.TETC.KD.csv | 221 | 31 | 467 |
NE.CON.TETC.KN | Final consumption expenditure, etc. (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.TETC.KN.csv | 168 | 34 | 468 |
NE.CON.TETC.CN | Final consumption expenditure, etc. (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.TETC.CN.csv | 190 | 39 | 469 |
NE.CON.TETC.CD | Final consumption expenditure, etc. (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.TETC.CD.csv | 234 | 40 | 470 |
IC.FRM.CMPU.ZS | Firms competing against unregistered firms (% of firms) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.CMPU.ZS.csv | 186 | 1 | 471 |
IC.TAX.GIFT.ZS | Firms expected to give gifts in meetings with tax officials (% of firms) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.TAX.GIFT.ZS.csv | 192 | 1 | 472 |
IC.FRM.FREG.ZS | Firms formally registered when operations started (% of firms) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.FREG.ZS.csv | 182 | 1 | 473 |
IC.FRM.TRNG.ZS | Firms offering formal training (% of firms) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.TRNG.ZS.csv | 191 | 1 | 474 |
IC.FRM.INFM.ZS | Firms that do not report all sales for tax purposes (% of firms) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.INFM.ZS.csv | 147 | 2 | 475 |
IC.FRM.BNKS.ZS | Firms using banks to finance investment (% of firms) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.BNKS.ZS.csv | 192 | 1 | 476 |
IC.FRM.BKWC.ZS | Firms using banks to finance working capital (% of firms) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.BKWC.ZS.csv | 192 | 1 | 477 |
IC.FRM.FEMO.ZS | Firms with female participation in ownership (% of firms) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.FEMO.ZS.csv | 192 | 1 | 478 |
IC.FRM.FEMM.ZS | Firms with female top manager (% of firms) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.FEMM.ZS.csv | 175 | 1 | 479 |
EN.FSH.THRD.NO | Fish species, threatened | https://data.cmucreatelab.org/earthtime/WorldBank/EN.FSH.THRD.NO.csv | 261 | 1 | 480 |
IT.NET.BBND | Fixed broadband subscriptions | https://data.cmucreatelab.org/earthtime/WorldBank/IT.NET.BBND.csv | 253 | 12 | 481 |
IT.NET.BBND.P2 | Fixed broadband subscriptions (per 100 people) | https://data.cmucreatelab.org/earthtime/WorldBank/IT.NET.BBND.P2.csv | 253 | 12 | 482 |
IT.MLT.MAIN | Fixed telephone subscriptions | https://data.cmucreatelab.org/earthtime/WorldBank/IT.MLT.MAIN.csv | 259 | 40 | 483 |
IT.MLT.MAIN.P2 | Fixed telephone subscriptions (per 100 people) | https://data.cmucreatelab.org/earthtime/WorldBank/IT.MLT.MAIN.P2.csv | 259 | 40 | 484 |
TX.VAL.FOOD.ZS.UN | Food exports (% of merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.FOOD.ZS.UN.csv | 240 | 33 | 485 |
TM.VAL.FOOD.ZS.UN | Food imports (% of merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.FOOD.ZS.UN.csv | 241 | 33 | 486 |
AG.PRD.FOOD.XD | Food production index (2004-2006 = 100) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.PRD.FOOD.XD.csv | 248 | 50 | 487 |
NV.MNF.FBTO.ZS.UN | Food, beverages and tobacco (% of value added in manufacturing) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.MNF.FBTO.ZS.UN.csv | 147 | 28 | 488 |
BN.KLT.DINV.CD | Foreign direct investment, net (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BN.KLT.DINV.CD.csv | 193 | 28 | 489 |
BX.KLT.DINV.WD.GD.ZS | Foreign direct investment, net inflows (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.KLT.DINV.WD.GD.ZS.csv | 243 | 36 | 490 |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.KLT.DINV.CD.WD.csv | 248 | 38 | 491 |
BM.KLT.DINV.WD.GD.ZS | Foreign direct investment, net outflows (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.KLT.DINV.WD.GD.ZS.csv | 230 | 28 | 492 |
BM.KLT.DINV.CD.WD | Foreign direct investment, net outflows (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.KLT.DINV.CD.WD.csv | 235 | 31 | 493 |
AG.LND.FRST.ZS | Forest area (% of land area) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.FRST.ZS.csv | 256 | 25 | 494 |
AG.LND.FRST.K2 | Forest area (sq. km) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.FRST.K2.csv | 257 | 25 | 495 |
NY.GDP.FRST.RT.ZS | Forest rents (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.FRST.RT.ZS.csv | 255 | 39 | 496 |
EG.USE.COMM.FO.ZS | Fossil fuel energy consumption (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.USE.COMM.FO.ZS.csv | 218 | 37 | 497 |
TX.VAL.FUEL.ZS.UN | Fuel exports (% of merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.FUEL.ZS.UN.csv | 240 | 32 | 498 |
TM.VAL.FUEL.ZS.UN | Fuel imports (% of merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.FUEL.ZS.UN.csv | 241 | 33 | 499 |
NY.GDP.MKTP.KD | GDP (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.MKTP.KD.csv | 249 | 43 | 500 |
NY.GDP.MKTP.KN | GDP (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.MKTP.KN.csv | 209 | 42 | 501 |
NY.GDP.MKTP.CN | GDP (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.MKTP.CN.csv | 211 | 43 | 502 |
NY.GDP.MKTP.CD | GDP (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.MKTP.CD.csv | 256 | 44 | 503 |
NY.GDP.MKTP.CN.AD | GDP at market prices: linked series (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.MKTP.CN.AD.csv | 137 | 32 | 504 |
NY.GDP.DEFL.ZS | GDP deflator (base year varies by country) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.DEFL.ZS.csv | 209 | 42 | 505 |
NY.GDP.DEFL.ZS.AD | GDP deflator: linked series (base year varies by country) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.DEFL.ZS.AD.csv | 137 | 34 | 506 |
NY.GDP.MKTP.KD.ZG | GDP growth (annual %) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.MKTP.KD.ZG.csv | 255 | 42 | 507 |
NY.GDP.PCAP.KD | GDP per capita (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.PCAP.KD.csv | 249 | 43 | 508 |
NY.GDP.PCAP.KN | GDP per capita (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.PCAP.KN.csv | 209 | 42 | 509 |
NY.GDP.PCAP.CN | GDP per capita (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.PCAP.CN.csv | 211 | 43 | 510 |
NY.GDP.PCAP.CD | GDP per capita (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.PCAP.CD.csv | 256 | 44 | 511 |
NY.GDP.PCAP.KD.ZG | GDP per capita growth (annual %) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.PCAP.KD.ZG.csv | 255 | 42 | 512 |
NY.GDP.PCAP.PP.KD | GDP per capita, PPP (constant 2011 international $) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.PCAP.PP.KD.csv | 241 | 24 | 513 |
NY.GDP.PCAP.PP.CD | GDP per capita, PPP (current international $) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.PCAP.PP.CD.csv | 241 | 24 | 514 |
SL.GDP.PCAP.EM.KD | GDP per person employed (constant 2011 PPP $) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.GDP.PCAP.EM.KD.csv | 232 | 26 | 515 |
EG.GDP.PUSE.KO.PP.KD | GDP per unit of energy use (constant 2011 PPP $ per kg of oil equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.GDP.PUSE.KO.PP.KD.csv | 212 | 21 | 516 |
EG.GDP.PUSE.KO.PP | GDP per unit of energy use (PPP $ per kg of oil equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/EG.GDP.PUSE.KO.PP.csv | 212 | 21 | 517 |
NY.GDP.MKTP.PP.KD | GDP, PPP (constant 2011 international $) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.MKTP.PP.KD.csv | 241 | 24 | 518 |
NY.GDP.MKTP.PP.CD | GDP, PPP (current international $) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.MKTP.PP.CD.csv | 241 | 24 | 519 |
NE.CON.GOVT.ZS | General government final consumption expenditure (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.GOVT.ZS.csv | 237 | 41 | 520 |
NE.CON.GOVT.KD.ZG | General government final consumption expenditure (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.GOVT.KD.ZG.csv | 208 | 34 | 521 |
NE.CON.GOVT.KD | General government final consumption expenditure (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.GOVT.KD.csv | 222 | 32 | 522 |
NE.CON.GOVT.KN | General government final consumption expenditure (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.GOVT.KN.csv | 168 | 35 | 523 |
NE.CON.GOVT.CN | General government final consumption expenditure (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.GOVT.CN.csv | 191 | 41 | 524 |
NE.CON.GOVT.CD | General government final consumption expenditure (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.GOVT.CD.csv | 236 | 41 | 525 |
EN.CLC.GHGR.MT.CE | GHG net emissions/removals by LUCF (Mt of CO2 equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.CLC.GHGR.MT.CE.csv | 162 | 5 | 526 |
SI.POV.GINI | GINI index (World Bank estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.POV.GINI.csv | 155 | 8 | 527 |
NY.GNP.MKTP.KD | GNI (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.MKTP.KD.csv | 241 | 27 | 528 |
NY.GNP.MKTP.KN | GNI (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.MKTP.KN.csv | 171 | 34 | 529 |
NY.GNP.MKTP.CN | GNI (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.MKTP.CN.csv | 207 | 42 | 530 |
NY.GNP.MKTP.CD | GNI (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.MKTP.CD.csv | 252 | 42 | 531 |
NY.GNP.MKTP.KD.ZG | GNI growth (annual %) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.MKTP.KD.ZG.csv | 210 | 32 | 532 |
NY.GNP.PCAP.KD | GNI per capita (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.PCAP.KD.csv | 241 | 27 | 533 |
NY.GNP.PCAP.KN | GNI per capita (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.PCAP.KN.csv | 171 | 34 | 534 |
NY.GNP.PCAP.CN | GNI per capita (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.PCAP.CN.csv | 207 | 42 | 535 |
NY.GNP.PCAP.KD.ZG | GNI per capita growth (annual %) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.PCAP.KD.ZG.csv | 210 | 32 | 536 |
NY.GNP.PCAP.CD | GNI per capita, Atlas method (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.PCAP.CD.csv | 249 | 39 | 537 |
NY.GNP.PCAP.PP.KD | GNI per capita, PPP (constant 2011 international $) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.PCAP.PP.KD.csv | 230 | 19 | 538 |
NY.GNP.PCAP.PP.CD | GNI per capita, PPP (current international $) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.PCAP.PP.CD.csv | 238 | 24 | 539 |
NY.GNP.ATLS.CD | GNI, Atlas method (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.ATLS.CD.csv | 249 | 39 | 540 |
NY.GNP.MKTP.PP.KD | GNI, PPP (constant 2011 international $) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.MKTP.PP.KD.csv | 230 | 19 | 541 |
NY.GNP.MKTP.PP.CD | GNI, PPP (current international $) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNP.MKTP.PP.CD.csv | 238 | 24 | 542 |
GC.XPN.GSRV.ZS | Goods and services expense (% of expense) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.GSRV.ZS.csv | 200 | 21 | 543 |
GC.XPN.GSRV.CN | Goods and services expense (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.GSRV.CN.csv | 156 | 22 | 544 |
BX.GSR.MRCH.CD | Goods exports (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GSR.MRCH.CD.csv | 236 | 31 | 545 |
BM.GSR.MRCH.CD | Goods imports (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.GSR.MRCH.CD.csv | 238 | 31 | 546 |
SE.XPD.TOTL.GD.ZS | Government expenditure on education, total (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.TOTL.GD.ZS.csv | 241 | 17 | 547 |
SE.XPD.TOTL.GB.ZS | Government expenditure on education, total (% of government expenditure) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.TOTL.GB.ZS.csv | 225 | 13 | 548 |
SE.XPD.PRIM.PC.ZS | Government expenditure per student, primary (% of GDP per capita) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.PRIM.PC.ZS.csv | 203 | 8 | 549 |
SE.XPD.SECO.PC.ZS | Government expenditure per student, secondary (% of GDP per capita) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.SECO.PC.ZS.csv | 185 | 8 | 550 |
SE.XPD.TERT.PC.ZS | Government expenditure per student, tertiary (% of GDP per capita) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.XPD.TERT.PC.ZS.csv | 193 | 7 | 551 |
GC.REV.GOTR.ZS | Grants and other revenue (% of revenue) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.REV.GOTR.ZS.csv | 204 | 21 | 552 |
GC.REV.GOTR.CN | Grants and other revenue (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.REV.GOTR.CN.csv | 160 | 22 | 553 |
BX.GRT.EXTA.CD.WD | Grants, excluding technical cooperation (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GRT.EXTA.CD.WD.csv | 180 | 44 | 554 |
NE.GDI.TOTL.ZS | Gross capital formation (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.TOTL.ZS.csv | 236 | 41 | 555 |
NE.GDI.TOTL.KD.ZG | Gross capital formation (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.TOTL.KD.ZG.csv | 211 | 33 | 556 |
NE.GDI.TOTL.KD | Gross capital formation (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.TOTL.KD.csv | 222 | 31 | 557 |
NE.GDI.TOTL.KN | Gross capital formation (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.TOTL.KN.csv | 169 | 34 | 558 |
NE.GDI.TOTL.CN | Gross capital formation (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.TOTL.CN.csv | 190 | 40 | 559 |
NE.GDI.TOTL.CD | Gross capital formation (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.TOTL.CD.csv | 234 | 40 | 560 |
NY.GDY.TOTL.KN | Gross domestic income (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDY.TOTL.KN.csv | 175 | 35 | 561 |
NY.GDS.TOTL.ZS | Gross domestic savings (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDS.TOTL.ZS.csv | 236 | 40 | 562 |
NY.GDS.TOTL.CN | Gross domestic savings (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDS.TOTL.CN.csv | 190 | 39 | 563 |
NY.GDS.TOTL.CD | Gross domestic savings (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDS.TOTL.CD.csv | 234 | 40 | 564 |
NE.GDI.FTOT.ZS | Gross fixed capital formation (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.FTOT.ZS.csv | 232 | 39 | 565 |
NE.GDI.FTOT.KD.ZG | Gross fixed capital formation (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.FTOT.KD.ZG.csv | 205 | 33 | 566 |
NE.GDI.FTOT.KD | Gross fixed capital formation (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.FTOT.KD.csv | 216 | 31 | 567 |
NE.GDI.FTOT.KN | Gross fixed capital formation (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.FTOT.KN.csv | 165 | 33 | 568 |
NE.GDI.FTOT.CN | Gross fixed capital formation (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.FTOT.CN.csv | 188 | 38 | 569 |
NE.GDI.FTOT.CD | Gross fixed capital formation (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.FTOT.CD.csv | 231 | 39 | 570 |
NE.GDI.FPRV.ZS | Gross fixed capital formation, private sector (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.FPRV.ZS.csv | 151 | 26 | 571 |
NE.GDI.FPRV.CN | Gross fixed capital formation, private sector (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.GDI.FPRV.CN.csv | 131 | 26 | 572 |
SE.PRM.GINT.FE.ZS | Gross intake ratio in first grade of primary education, female (% of relevant age group) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.GINT.FE.ZS.csv | 238 | 25 | 573 |
SE.PRM.GINT.MA.ZS | Gross intake ratio in first grade of primary education, male (% of relevant age group) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.GINT.MA.ZS.csv | 238 | 25 | 574 |
SE.PRM.GINT.ZS | Gross intake ratio in first grade of primary education, total (% of relevant age group) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.GINT.ZS.csv | 239 | 27 | 575 |
NE.DAB.TOTL.ZS | Gross national expenditure (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.DAB.TOTL.ZS.csv | 190 | 39 | 576 |
NE.DAB.TOTL.KD | Gross national expenditure (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.DAB.TOTL.KD.csv | 235 | 31 | 577 |
NE.DAB.TOTL.KN | Gross national expenditure (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.DAB.TOTL.KN.csv | 175 | 36 | 578 |
NE.DAB.TOTL.CN | Gross national expenditure (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.DAB.TOTL.CN.csv | 198 | 41 | 579 |
NE.DAB.TOTL.CD | Gross national expenditure (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.DAB.TOTL.CD.csv | 244 | 42 | 580 |
NE.DAB.DEFL.ZS | Gross national expenditure deflator (base year varies by country) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.DAB.DEFL.ZS.csv | 175 | 35 | 581 |
NY.GNS.ICTR.ZS | Gross savings (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNS.ICTR.ZS.csv | 227 | 28 | 582 |
NY.GNS.ICTR.GN.ZS | Gross savings (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNS.ICTR.GN.ZS.csv | 227 | 29 | 583 |
NY.GNS.ICTR.CN | Gross savings (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNS.ICTR.CN.csv | 181 | 28 | 584 |
NY.GNS.ICTR.CD | Gross savings (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GNS.ICTR.CD.csv | 181 | 28 | 585 |
NY.GDP.FCST.KD | Gross value added at factor cost (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.FCST.KD.csv | 198 | 34 | 586 |
NY.GDP.FCST.KN | Gross value added at factor cost (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.FCST.KN.csv | 172 | 33 | 587 |
NY.GDP.FCST.CN | Gross value added at factor cost (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.FCST.CN.csv | 181 | 36 | 588 |
NY.GDP.FCST.CD | Gross value added at factor cost (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.FCST.CD.csv | 212 | 36 | 589 |
SH.XPD.PCAP | Health expenditure per capita (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.XPD.PCAP.csv | 236 | 19 | 590 |
SH.XPD.PCAP.PP.KD | Health expenditure per capita, PPP (constant 2011 international $) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.XPD.PCAP.PP.KD.csv | 236 | 19 | 591 |
SH.XPD.PRIV.ZS | Health expenditure, private (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.XPD.PRIV.ZS.csv | 236 | 19 | 592 |
SH.XPD.PUBL.ZS | Health expenditure, public (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.XPD.PUBL.ZS.csv | 236 | 19 | 593 |
SH.XPD.PUBL.GX.ZS | Health expenditure, public (% of government expenditure) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.XPD.PUBL.GX.ZS.csv | 225 | 18 | 594 |
SH.XPD.PUBL | Health expenditure, public (% of total health expenditure) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.XPD.PUBL.csv | 236 | 19 | 595 |
SH.XPD.TOTL.ZS | Health expenditure, total (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.XPD.TOTL.ZS.csv | 236 | 19 | 596 |
EN.ATM.HFCG.KT.CE | HFC gas emissions (thousand metric tons of CO2 equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.HFCG.KT.CE.csv | 163 | 4 | 597 |
TX.VAL.TECH.MF.ZS | High-technology exports (% of manufactured exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.TECH.MF.ZS.csv | 227 | 19 | 598 |
TX.VAL.TECH.CD | High-technology exports (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.TECH.CD.csv | 223 | 19 | 599 |
SH.MED.BEDS.ZS | Hospital beds (per 1,000 people) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.MED.BEDS.ZS.csv | 245 | 14 | 600 |
NE.CON.PRVT.KD.ZG | Household final consumption expenditure (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PRVT.KD.ZG.csv | 212 | 33 | 601 |
NE.CON.PRVT.KD | Household final consumption expenditure (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PRVT.KD.csv | 224 | 31 | 602 |
NE.CON.PRVT.KN | Household final consumption expenditure (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PRVT.KN.csv | 170 | 33 | 603 |
NE.CON.PRVT.CN | Household final consumption expenditure (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PRVT.CN.csv | 192 | 39 | 604 |
NE.CON.PRVT.CD | Household final consumption expenditure (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PRVT.CD.csv | 236 | 39 | 605 |
NE.CON.PRVT.PC.KD | Household final consumption expenditure per capita (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PRVT.PC.KD.csv | 224 | 31 | 606 |
NE.CON.PRVT.PC.KD.ZG | Household final consumption expenditure per capita growth (annual %) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PRVT.PC.KD.ZG.csv | 204 | 33 | 607 |
NE.CON.PETC.ZS | Household final consumption expenditure, etc. (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PETC.ZS.csv | 236 | 40 | 608 |
NE.CON.PETC.KD.ZG | Household final consumption expenditure, etc. (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PETC.KD.ZG.csv | 208 | 32 | 609 |
NE.CON.PETC.KD | Household final consumption expenditure, etc. (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PETC.KD.csv | 221 | 30 | 610 |
NE.CON.PETC.KN | Household final consumption expenditure, etc. (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PETC.KN.csv | 168 | 33 | 611 |
NE.CON.PETC.CN | Household final consumption expenditure, etc. (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PETC.CN.csv | 190 | 39 | 612 |
NE.CON.PETC.CD | Household final consumption expenditure, etc. (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PETC.CD.csv | 234 | 39 | 613 |
NE.CON.PRVT.PP.KD | Household final consumption expenditure, PPP (constant 2011 international $) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PRVT.PP.KD.csv | 222 | 21 | 614 |
NE.CON.PRVT.PP.CD | Household final consumption expenditure, PPP (current international $) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.CON.PRVT.PP.CD.csv | 229 | 21 | 615 |
DT.DOD.MWBG.CD | IBRD loans and IDA credits (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.MWBG.CD.csv | 135 | 39 | 616 |
TX.VAL.ICTG.ZS.UN | ICT goods exports (% of total goods exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.ICTG.ZS.UN.csv | 222 | 13 | 617 |
TM.VAL.ICTG.ZS.UN | ICT goods imports (% total goods imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.ICTG.ZS.UN.csv | 232 | 13 | 618 |
BX.GSR.CCIS.ZS | ICT service exports (% of service exports, BoP) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GSR.CCIS.ZS.csv | 215 | 18 | 619 |
BX.GSR.CCIS.CD | ICT service exports (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GSR.CCIS.CD.csv | 223 | 17 | 620 |
DT.DIS.IDAG.CD | IDA grants (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.IDAG.CD.csv | 135 | 40 | 621 |
IQ.CPA.IRAI.XQ | IDA resource allocation index (1=low to 6=high) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.CPA.IRAI.XQ.csv | 125 | 10 | 622 |
DT.NFL.NIFC.CD | IFC, private nonguaranteed (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.NIFC.CD.csv | 135 | 40 | 623 |
DT.INT.DIMF.CD | IMF charges (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.DIMF.CD.csv | 135 | 41 | 624 |
DT.DIS.DIMF.CD | IMF purchases (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.DIMF.CD.csv | 135 | 41 | 625 |
DT.AMT.DIMF.CD | IMF repurchases (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.DIMF.CD.csv | 135 | 41 | 626 |
DT.TDS.DIMF.CD | IMF repurchases and charges (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.DIMF.CD.csv | 135 | 41 | 627 |
SH.IMM.IDPT | Immunization, DPT (% of children ages 12-23 months) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.IMM.IDPT.csv | 238 | 32 | 628 |
SH.IMM.HEPB | Immunization, HepB3 (% of one-year-old children) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.IMM.HEPB.csv | 229 | 13 | 629 |
SH.IMM.MEAS | Immunization, measles (% of children ages 12-23 months) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.IMM.MEAS.csv | 238 | 32 | 630 |
TM.VAL.MRCH.XD.WD | Import value index (2000 = 100) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.XD.WD.csv | 203 | 30 | 631 |
TM.QTY.MRCH.XD.WD | Import volume index (2000 = 100) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.QTY.MRCH.XD.WD.csv | 203 | 23 | 632 |
NE.IMP.GNFS.ZS | Imports of goods and services (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.IMP.GNFS.ZS.csv | 244 | 42 | 633 |
NE.IMP.GNFS.KD.ZG | Imports of goods and services (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.IMP.GNFS.KD.ZG.csv | 215 | 34 | 634 |
BM.GSR.GNFS.CD | Imports of goods and services (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.GSR.GNFS.CD.csv | 237 | 31 | 635 |
NE.IMP.GNFS.KD | Imports of goods and services (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.IMP.GNFS.KD.csv | 235 | 31 | 636 |
NE.IMP.GNFS.KN | Imports of goods and services (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.IMP.GNFS.KN.csv | 175 | 36 | 637 |
NE.IMP.GNFS.CN | Imports of goods and services (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.IMP.GNFS.CN.csv | 198 | 41 | 638 |
NE.IMP.GNFS.CD | Imports of goods and services (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.IMP.GNFS.CD.csv | 244 | 41 | 639 |
BM.GSR.TOTL.CD | Imports of goods, services and primary income (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.GSR.TOTL.CD.csv | 237 | 31 | 640 |
SH.STA.ACSN | Improved sanitation facilities (% of population with access) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.ACSN.csv | 248 | 25 | 641 |
SH.STA.ACSN.RU | Improved sanitation facilities, rural (% of rural population with access) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.ACSN.RU.csv | 245 | 24 | 642 |
SH.STA.ACSN.UR | Improved sanitation facilities, urban (% of urban population with access) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.ACSN.UR.csv | 248 | 25 | 643 |
SH.H2O.SAFE.ZS | Improved water source (% of population with access) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.H2O.SAFE.ZS.csv | 249 | 25 | 644 |
SH.H2O.SAFE.RU.ZS | Improved water source, rural (% of rural population with access) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.H2O.SAFE.RU.ZS.csv | 245 | 25 | 645 |
SH.H2O.SAFE.UR.ZS | Improved water source, urban (% of urban population with access) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.H2O.SAFE.UR.ZS.csv | 249 | 25 | 646 |
SH.HIV.INCD.ZS | Incidence of HIV (% of uninfected population ages 15-49) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.HIV.INCD.ZS.csv | 127 | 26 | 647 |
SH.MLR.INCD.P3 | Incidence of malaria (per 1,000 population at risk) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.MLR.INCD.P3.csv | 127 | 4 | 648 |
SH.TBS.INCD | Incidence of tuberculosis (per 100,000 people) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.TBS.INCD.csv | 229 | 15 | 649 |
SI.DST.04TH.20 | Income share held by fourth 20% | https://data.cmucreatelab.org/earthtime/WorldBank/SI.DST.04TH.20.csv | 154 | 8 | 650 |
SI.DST.10TH.10 | Income share held by highest 10% | https://data.cmucreatelab.org/earthtime/WorldBank/SI.DST.10TH.10.csv | 154 | 8 | 651 |
SI.DST.05TH.20 | Income share held by highest 20% | https://data.cmucreatelab.org/earthtime/WorldBank/SI.DST.05TH.20.csv | 154 | 8 | 652 |
SI.DST.FRST.10 | Income share held by lowest 10% | https://data.cmucreatelab.org/earthtime/WorldBank/SI.DST.FRST.10.csv | 154 | 8 | 653 |
SI.DST.FRST.20 | Income share held by lowest 20% | https://data.cmucreatelab.org/earthtime/WorldBank/SI.DST.FRST.20.csv | 154 | 8 | 654 |
SI.DST.02ND.20 | Income share held by second 20% | https://data.cmucreatelab.org/earthtime/WorldBank/SI.DST.02ND.20.csv | 154 | 8 | 655 |
SI.DST.03RD.20 | Income share held by third 20% | https://data.cmucreatelab.org/earthtime/WorldBank/SI.DST.03RD.20.csv | 154 | 8 | 656 |
IT.NET.USER.ZS | Individuals using the Internet (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/IT.NET.USER.ZS.csv | 257 | 22 | 657 |
IP.IDS.NRCT | Industrial design applications, nonresident, by count | https://data.cmucreatelab.org/earthtime/WorldBank/IP.IDS.NRCT.csv | 166 | 9 | 658 |
IP.IDS.RSCT | Industrial design applications, resident, by count | https://data.cmucreatelab.org/earthtime/WorldBank/IP.IDS.RSCT.csv | 160 | 8 | 659 |
NV.IND.TOTL.ZS | Industry, value added (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.IND.TOTL.ZS.csv | 238 | 33 | 660 |
NV.IND.TOTL.KD.ZG | Industry, value added (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.IND.TOTL.KD.ZG.csv | 233 | 33 | 661 |
NV.IND.TOTL.KD | Industry, value added (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.IND.TOTL.KD.csv | 231 | 34 | 662 |
NV.IND.TOTL.KN | Industry, value added (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.IND.TOTL.KN.csv | 187 | 33 | 663 |
NV.IND.TOTL.CN | Industry, value added (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.IND.TOTL.CN.csv | 196 | 36 | 664 |
NV.IND.TOTL.CD | Industry, value added (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.IND.TOTL.CD.csv | 241 | 36 | 665 |
FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | https://data.cmucreatelab.org/earthtime/WorldBank/FP.CPI.TOTL.ZG.csv | 223 | 42 | 666 |
NY.GDP.DEFL.KD.ZG | Inflation, GDP deflator (annual %) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.DEFL.KD.ZG.csv | 255 | 42 | 667 |
NY.GDP.DEFL.KD.ZG.AD | Inflation, GDP deflator: linked series (annual %) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.DEFL.KD.ZG.AD.csv | 141 | 32 | 668 |
SL.ISV.IFRM.ZS | Informal employment (% of total non-agricultural employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.ISV.IFRM.ZS.csv | 43 | 3 | 669 |
SL.ISV.IFRM.FE.ZS | Informal employment, female (% of total non-agricultural employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.ISV.IFRM.FE.ZS.csv | 43 | 3 | 670 |
SL.ISV.IFRM.MA.ZS | Informal employment, male (% of total non-agricultural employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.ISV.IFRM.MA.ZS.csv | 43 | 3 | 671 |
IC.FRM.CORR.ZS | Informal payments to public officials (% of firms) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.CORR.ZS.csv | 190 | 1 | 672 |
TX.VAL.INSF.ZS.WT | Insurance and financial services (% of commercial service exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.INSF.ZS.WT.csv | 231 | 26 | 673 |
TM.VAL.INSF.ZS.WT | Insurance and financial services (% of commercial service imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.INSF.ZS.WT.csv | 237 | 29 | 674 |
BX.GSR.INSF.ZS | Insurance and financial services (% of service exports, BoP) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GSR.INSF.ZS.csv | 231 | 26 | 675 |
BM.GSR.INSF.ZS | Insurance and financial services (% of service imports, BoP) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.GSR.INSF.ZS.csv | 237 | 29 | 676 |
VC.IHR.PSRC.P5 | Intentional homicides (per 100,000 people) | https://data.cmucreatelab.org/earthtime/WorldBank/VC.IHR.PSRC.P5.csv | 254 | 9 | 677 |
DT.IXA.DPPG.CD | Interest arrears, long-term DOD (US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.IXA.DPPG.CD.csv | 135 | 40 | 678 |
DT.IXA.OFFT.CD | Interest arrears, official creditors (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.IXA.OFFT.CD.csv | 135 | 40 | 679 |
DT.IXA.PRVT.CD | Interest arrears, private creditors (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.IXA.PRVT.CD.csv | 135 | 40 | 680 |
DT.IXF.DPPG.CD | Interest forgiven (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.IXF.DPPG.CD.csv | 135 | 26 | 681 |
GC.XPN.INTP.ZS | Interest payments (% of expense) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.INTP.ZS.csv | 200 | 21 | 682 |
GC.XPN.INTP.RV.ZS | Interest payments (% of revenue) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.INTP.RV.ZS.csv | 201 | 22 | 683 |
GC.XPN.INTP.CN | Interest payments (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.INTP.CN.csv | 157 | 23 | 684 |
DT.INT.DECT.EX.ZS | Interest payments on external debt (% of exports of goods, services and primary income) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.DECT.EX.ZS.csv | 134 | 32 | 685 |
DT.INT.DECT.GN.ZS | Interest payments on external debt (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.DECT.GN.ZS.csv | 135 | 36 | 686 |
DT.INT.DLXF.CD | Interest payments on external debt, long-term (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.DLXF.CD.csv | 135 | 41 | 687 |
DT.INT.DPNG.CD | Interest payments on external debt, private nonguaranteed (PNG) (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.DPNG.CD.csv | 135 | 41 | 688 |
DT.INT.DPPG.CD | Interest payments on external debt, public and publicly guaranteed (PPG) (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.DPPG.CD.csv | 135 | 40 | 689 |
DT.INT.DSTC.CD | Interest payments on external debt, short-term (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.DSTC.CD.csv | 135 | 40 | 690 |
DT.INT.DECT.CD | Interest payments on external debt, total (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.DECT.CD.csv | 135 | 40 | 691 |
FR.INR.LNDP | Interest rate spread (lending rate minus deposit rate, %) | https://data.cmucreatelab.org/earthtime/WorldBank/FR.INR.LNDP.csv | 218 | 26 | 692 |
DT.IXR.DPPG.CD | Interest rescheduled (capitalized) (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.IXR.DPPG.CD.csv | 135 | 26 | 693 |
DT.IXR.OFFT.CD | Interest rescheduled, official (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.IXR.OFFT.CD.csv | 135 | 26 | 694 |
DT.IXR.PRVT.CD | Interest rescheduled, private (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.IXR.PRVT.CD.csv | 135 | 26 | 695 |
VC.IDP.TOTL.HE | Internally displaced persons (number, high estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/VC.IDP.TOTL.HE.csv | 202 | 6 | 696 |
VC.IDP.TOTL.LE | Internally displaced persons (number, low estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/VC.IDP.TOTL.LE.csv | 48 | 4 | 697 |
SM.POP.TOTL.ZS | International migrant stock (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/SM.POP.TOTL.ZS.csv | 261 | 5 | 698 |
SM.POP.TOTL | International migrant stock, total | https://data.cmucreatelab.org/earthtime/WorldBank/SM.POP.TOTL.csv | 261 | 11 | 699 |
ST.INT.XPND.MP.ZS | International tourism, expenditures (% of total imports) | https://data.cmucreatelab.org/earthtime/WorldBank/ST.INT.XPND.MP.ZS.csv | 233 | 18 | 700 |
ST.INT.XPND.CD | International tourism, expenditures (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/ST.INT.XPND.CD.csv | 241 | 18 | 701 |
ST.INT.TRNX.CD | International tourism, expenditures for passenger transport items (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/ST.INT.TRNX.CD.csv | 201 | 17 | 702 |
ST.INT.TVLX.CD | International tourism, expenditures for travel items (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/ST.INT.TVLX.CD.csv | 233 | 19 | 703 |
ST.INT.ARVL | International tourism, number of arrivals | https://data.cmucreatelab.org/earthtime/WorldBank/ST.INT.ARVL.csv | 249 | 20 | 704 |
ST.INT.DPRT | International tourism, number of departures | https://data.cmucreatelab.org/earthtime/WorldBank/ST.INT.DPRT.csv | 156 | 16 | 705 |
ST.INT.RCPT.XP.ZS | International tourism, receipts (% of total exports) | https://data.cmucreatelab.org/earthtime/WorldBank/ST.INT.RCPT.XP.ZS.csv | 234 | 18 | 706 |
ST.INT.RCPT.CD | International tourism, receipts (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/ST.INT.RCPT.CD.csv | 245 | 19 | 707 |
ST.INT.TRNR.CD | International tourism, receipts for passenger transport items (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/ST.INT.TRNR.CD.csv | 192 | 16 | 708 |
ST.INT.TVLR.CD | International tourism, receipts for travel items (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/ST.INT.TVLR.CD.csv | 234 | 19 | 709 |
IC.FRM.ISOC.ZS | Internationally-recognized quality certification (% of firms) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.ISOC.ZS.csv | 190 | 1 | 710 |
IE.PPI.ENGY.CD | Investment in energy with private participation (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IE.PPI.ENGY.CD.csv | 132 | 10 | 711 |
IE.PPI.TELE.CD | Investment in telecoms with private participation (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IE.PPI.TELE.CD.csv | 168 | 15 | 712 |
IE.PPI.TRAN.CD | Investment in transport with private participation (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IE.PPI.TRAN.CD.csv | 107 | 7 | 713 |
IE.PPI.WATR.CD | Investment in water and sanitation with private participation (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IE.PPI.WATR.CD.csv | 78 | 5 | 714 |
SL.TLF.ACTI.1524.FE.ZS | Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.ACTI.1524.FE.ZS.csv | 232 | 27 | 715 |
SL.TLF.ACTI.1524.FE.NE.ZS | Labor force participation rate for ages 15-24, female (%) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.ACTI.1524.FE.NE.ZS.csv | 227 | 14 | 716 |
SL.TLF.ACTI.1524.MA.ZS | Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.ACTI.1524.MA.ZS.csv | 232 | 27 | 717 |
SL.TLF.ACTI.1524.MA.NE.ZS | Labor force participation rate for ages 15-24, male (%) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.ACTI.1524.MA.NE.ZS.csv | 227 | 14 | 718 |
SL.TLF.ACTI.1524.ZS | Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.ACTI.1524.ZS.csv | 232 | 27 | 719 |
SL.TLF.ACTI.1524.NE.ZS | Labor force participation rate for ages 15-24, total (%) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.ACTI.1524.NE.ZS.csv | 228 | 14 | 720 |
SL.TLF.CACT.FE.ZS | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.CACT.FE.ZS.csv | 232 | 27 | 721 |
SL.TLF.CACT.FE.NE.ZS | Labor force participation rate, female (% of female population ages 15+) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.CACT.FE.NE.ZS.csv | 234 | 16 | 722 |
SL.TLF.CACT.MA.ZS | Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.CACT.MA.ZS.csv | 232 | 27 | 723 |
SL.TLF.CACT.MA.NE.ZS | Labor force participation rate, male (% of male population ages 15+) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.CACT.MA.NE.ZS.csv | 234 | 16 | 724 |
SL.TLF.CACT.ZS | Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.CACT.ZS.csv | 232 | 27 | 725 |
SL.TLF.CACT.NE.ZS | Labor force participation rate, total (% of total population ages 15+) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.CACT.NE.ZS.csv | 243 | 17 | 726 |
SL.TLF.ADVN.ZS | Labor force with advanced education (% of total working-age population with advanced education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.ADVN.ZS.csv | 105 | 10 | 727 |
SL.TLF.ADVN.FE.ZS | Labor force with advanced education, female (% of female working-age population with advanced education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.ADVN.FE.ZS.csv | 101 | 9 | 728 |
SL.TLF.ADVN.MA.ZS | Labor force with advanced education, male (% of male working-age population with advanced education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.ADVN.MA.ZS.csv | 101 | 9 | 729 |
SL.TLF.BASC.ZS | Labor force with basic education (% of total working-age population with basic education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.BASC.ZS.csv | 106 | 10 | 730 |
SL.TLF.BASC.FE.ZS | Labor force with basic education, female (% of female working-age population with basic education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.BASC.FE.ZS.csv | 101 | 9 | 731 |
SL.TLF.BASC.MA.ZS | Labor force with basic education, male (% of male working-age population with basic education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.BASC.MA.ZS.csv | 101 | 9 | 732 |
SL.TLF.INTM.ZS | Labor force with intermediate education (% of total working-age population with intermediate education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.INTM.ZS.csv | 106 | 10 | 733 |
SL.TLF.INTM.FE.ZS | Labor force with intermediate education, female (% of female working-age population with intermediate education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.INTM.FE.ZS.csv | 102 | 9 | 734 |
SL.TLF.INTM.MA.ZS | Labor force with intermediate education, male (% of male working-age population with intermediate education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.INTM.MA.ZS.csv | 102 | 9 | 735 |
SL.TLF.TOTL.FE.ZS | Labor force, female (% of total labor force) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.TOTL.FE.ZS.csv | 231 | 26 | 736 |
SL.TLF.TOTL.IN | Labor force, total | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.TOTL.IN.csv | 231 | 26 | 737 |
IC.TAX.LABR.CP.ZS | Labor tax and contributions (% of commercial profits) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.TAX.LABR.CP.ZS.csv | 223 | 3 | 738 |
AG.LND.TOTL.K2 | Land area (sq. km) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.TOTL.K2.csv | 262 | 55 | 739 |
AG.LND.EL5M.ZS | Land area where elevation is below 5 meters (% of total land area) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.EL5M.ZS.csv | 223 | 3 | 740 |
AG.LND.CREL.HA | Land under cereal production (hectares) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.CREL.HA.csv | 227 | 49 | 741 |
SG.LAW.EQRM.WK | Law mandates equal remuneration for females and males for work of equal value (1=yes; 0=no) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.LAW.EQRM.WK.csv | 188 | 1 | 742 |
SG.LAW.NODC.HR | Law mandates nondiscrimination based on gender in hiring (1=yes; 0=no) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.LAW.NODC.HR.csv | 188 | 3 | 743 |
SG.LAW.LEVE.PU | Law mandates paid or unpaid maternity leave (1=yes; 0=no) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.LAW.LEVE.PU.csv | 188 | 3 | 744 |
SG.LAW.CHMR | Law prohibits or invalidates child or early marriage (1=yes; 0=no) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.LAW.CHMR.csv | 187 | 1 | 745 |
LP.EXP.DURS.MD | Lead time to export, median case (days) | https://data.cmucreatelab.org/earthtime/WorldBank/LP.EXP.DURS.MD.csv | 197 | 3 | 746 |
LP.IMP.DURS.MD | Lead time to import, median case (days) | https://data.cmucreatelab.org/earthtime/WorldBank/LP.IMP.DURS.MD.csv | 196 | 3 | 747 |
SG.LEG.DVAW | Legislation exists on domestic violence (1=yes; 0=no) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.LEG.DVAW.csv | 188 | 1 | 748 |
FR.INR.LEND | Lending interest rate (%) | https://data.cmucreatelab.org/earthtime/WorldBank/FR.INR.LEND.csv | 177 | 28 | 749 |
SP.DYN.LE00.FE.IN | Life expectancy at birth, female (years) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.LE00.FE.IN.csv | 253 | 53 | 750 |
SP.DYN.LE00.MA.IN | Life expectancy at birth, male (years) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.LE00.MA.IN.csv | 253 | 53 | 751 |
SP.DYN.LE00.IN | Life expectancy at birth, total (years) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.LE00.IN.csv | 253 | 53 | 752 |
SH.MMR.RISK.ZS | Lifetime risk of maternal death (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.MMR.RISK.ZS.csv | 229 | 26 | 753 |
SH.MMR.RISK | Lifetime risk of maternal death (1 in: rate varies by country) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.MMR.RISK.csv | 229 | 26 | 754 |
IS.SHP.GCNW.XQ | Liner shipping connectivity index (maximum value in 2004 = 100) | https://data.cmucreatelab.org/earthtime/WorldBank/IS.SHP.GCNW.XQ.csv | 157 | 12 | 755 |
CM.MKT.LDOM.NO | Listed domestic companies, total | https://data.cmucreatelab.org/earthtime/WorldBank/CM.MKT.LDOM.NO.csv | 168 | 22 | 756 |
SE.ADT.LITR.FE.ZS | Literacy rate, adult female (% of females ages 15 and above) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.ADT.LITR.FE.ZS.csv | 205 | 4 | 757 |
SE.ADT.LITR.MA.ZS | Literacy rate, adult male (% of males ages 15 and above) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.ADT.LITR.MA.ZS.csv | 205 | 4 | 758 |
SE.ADT.LITR.ZS | Literacy rate, adult total (% of people ages 15 and above) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.ADT.LITR.ZS.csv | 205 | 4 | 759 |
SE.ADT.1524.LT.FM.ZS | Literacy rate, youth (ages 15-24), gender parity index (GPI) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.ADT.1524.LT.FM.ZS.csv | 203 | 4 | 760 |
SE.ADT.1524.LT.FE.ZS | Literacy rate, youth female (% of females ages 15-24) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.ADT.1524.LT.FE.ZS.csv | 203 | 4 | 761 |
SE.ADT.1524.LT.MA.ZS | Literacy rate, youth male (% of males ages 15-24) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.ADT.1524.LT.MA.ZS.csv | 203 | 4 | 762 |
SE.ADT.1524.LT.ZS | Literacy rate, youth total (% of people ages 15-24) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.ADT.1524.LT.ZS.csv | 203 | 4 | 763 |
AG.PRD.LVSK.XD | Livestock production index (2004-2006 = 100) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.PRD.LVSK.XD.csv | 247 | 50 | 764 |
LP.LPI.TRAC.XQ | Logistics performance index: Ability to track and trace consignments (1=low to 5=high) | https://data.cmucreatelab.org/earthtime/WorldBank/LP.LPI.TRAC.XQ.csv | 213 | 4 | 765 |
LP.LPI.LOGS.XQ | Logistics performance index: Competence and quality of logistics services (1=low to 5=high) | https://data.cmucreatelab.org/earthtime/WorldBank/LP.LPI.LOGS.XQ.csv | 213 | 4 | 766 |
LP.LPI.ITRN.XQ | Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high) | https://data.cmucreatelab.org/earthtime/WorldBank/LP.LPI.ITRN.XQ.csv | 213 | 4 | 767 |
LP.LPI.CUST.XQ | Logistics performance index: Efficiency of customs clearance process (1=low to 5=high) | https://data.cmucreatelab.org/earthtime/WorldBank/LP.LPI.CUST.XQ.csv | 213 | 4 | 768 |
LP.LPI.TIME.XQ | Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high) | https://data.cmucreatelab.org/earthtime/WorldBank/LP.LPI.TIME.XQ.csv | 213 | 4 | 769 |
LP.LPI.OVRL.XQ | Logistics performance index: Overall (1=low to 5=high) | https://data.cmucreatelab.org/earthtime/WorldBank/LP.LPI.OVRL.XQ.csv | 213 | 4 | 770 |
LP.LPI.INFR.XQ | Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) | https://data.cmucreatelab.org/earthtime/WorldBank/LP.LPI.INFR.XQ.csv | 213 | 4 | 771 |
IC.FRM.CRIM.ZS | Losses due to theft, robbery, vandalism, and arson (% sales) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.CRIM.ZS.csv | 192 | 1 | 772 |
SH.STA.BRTW.ZS | Low-birthweight babies (% of births) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.BRTW.ZS.csv | 240 | 3 | 773 |
SE.SEC.CMPT.LO.FE.ZS | Lower secondary completion rate, female (% of relevant age group) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.CMPT.LO.FE.ZS.csv | 229 | 19 | 774 |
SE.SEC.CMPT.LO.MA.ZS | Lower secondary completion rate, male (% of relevant age group) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.CMPT.LO.MA.ZS.csv | 229 | 19 | 775 |
SE.SEC.CMPT.LO.ZS | Lower secondary completion rate, total (% of relevant age group) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.CMPT.LO.ZS.csv | 231 | 22 | 776 |
SE.SEC.AGES | Lower secondary school starting age (years) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.AGES.csv | 209 | 45 | 777 |
NV.MNF.MTRN.ZS.UN | Machinery and transport equipment (% of value added in manufacturing) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.MNF.MTRN.ZS.UN.csv | 143 | 27 | 778 |
EN.MAM.THRD.NO | Mammal species, threatened | https://data.cmucreatelab.org/earthtime/WorldBank/EN.MAM.THRD.NO.csv | 261 | 1 | 779 |
TX.VAL.MANF.ZS.UN | Manufactures exports (% of merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MANF.ZS.UN.csv | 240 | 33 | 780 |
TM.VAL.MANF.ZS.UN | Manufactures imports (% of merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MANF.ZS.UN.csv | 241 | 33 | 781 |
NV.IND.MANF.ZS | Manufacturing, value added (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.IND.MANF.ZS.csv | 234 | 31 | 782 |
NV.IND.MANF.KD.ZG | Manufacturing, value added (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.IND.MANF.KD.ZG.csv | 218 | 30 | 783 |
NV.IND.MANF.KD | Manufacturing, value added (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.IND.MANF.KD.csv | 224 | 30 | 784 |
NV.IND.MANF.KN | Manufacturing, value added (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.IND.MANF.KN.csv | 182 | 31 | 785 |
NV.IND.MANF.CN | Manufacturing, value added (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.IND.MANF.CN.csv | 195 | 33 | 786 |
NV.IND.MANF.CD | Manufacturing, value added (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.IND.MANF.CD.csv | 240 | 33 | 787 |
ER.MRN.PTMR.ZS | Marine protected areas (% of territorial waters) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.MRN.PTMR.ZS.csv | 255 | 3 | 788 |
CM.MKT.LCAP.GD.ZS | Market capitalization of listed domestic companies (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/CM.MKT.LCAP.GD.ZS.csv | 150 | 18 | 789 |
CM.MKT.LCAP.CD | Market capitalization of listed domestic companies (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/CM.MKT.LCAP.CD.csv | 158 | 18 | 790 |
SH.STA.MMRT | Maternal mortality ratio (modeled estimate, per 100,000 live births) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.MMRT.csv | 229 | 26 | 791 |
SH.STA.MMRT.NE | Maternal mortality ratio (national estimate, per 100,000 live births) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.MMRT.NE.csv | 183 | 4 | 792 |
TX.VAL.MRCH.CD.WT | Merchandise exports (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.CD.WT.csv | 246 | 49 | 793 |
TX.VAL.MRCH.WL.CD | Merchandise exports by the reporting economy (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.WL.CD.csv | 227 | 48 | 794 |
TX.VAL.MRCH.RS.ZS | Merchandise exports by the reporting economy, residual (% of total merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.RS.ZS.csv | 227 | 48 | 795 |
TX.VAL.MRCH.AL.ZS | Merchandise exports to economies in the Arab World (% of total merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.AL.ZS.csv | 220 | 46 | 796 |
TX.VAL.MRCH.HI.ZS | Merchandise exports to high-income economies (% of total merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.HI.ZS.csv | 227 | 46 | 797 |
TX.VAL.MRCH.R1.ZS | Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.R1.ZS.csv | 175 | 42 | 798 |
TX.VAL.MRCH.R2.ZS | Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.R2.ZS.csv | 183 | 21 | 799 |
TX.VAL.MRCH.R3.ZS | Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.R3.ZS.csv | 212 | 45 | 800 |
TX.VAL.MRCH.R4.ZS | Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.R4.ZS.csv | 219 | 47 | 801 |
TX.VAL.MRCH.R5.ZS | Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.R5.ZS.csv | 217 | 47 | 802 |
TX.VAL.MRCH.R6.ZS | Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.R6.ZS.csv | 205 | 45 | 803 |
TX.VAL.MRCH.OR.ZS | Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.OR.ZS.csv | 207 | 40 | 804 |
TX.VAL.MRCH.WR.ZS | Merchandise exports to low- and middle-income economies within region (% of total merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MRCH.WR.ZS.csv | 159 | 46 | 805 |
TM.VAL.MRCH.CD.WT | Merchandise imports (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.CD.WT.csv | 245 | 49 | 806 |
TM.VAL.MRCH.WL.CD | Merchandise imports by the reporting economy (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.WL.CD.csv | 227 | 48 | 807 |
TM.VAL.MRCH.RS.ZS | Merchandise imports by the reporting economy, residual (% of total merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.RS.ZS.csv | 227 | 48 | 808 |
TM.VAL.MRCH.AL.ZS | Merchandise imports from economies in the Arab World (% of total merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.AL.ZS.csv | 216 | 47 | 809 |
TM.VAL.MRCH.HI.ZS | Merchandise imports from high-income economies (% of total merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.HI.ZS.csv | 227 | 47 | 810 |
TM.VAL.MRCH.R1.ZS | Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.R1.ZS.csv | 197 | 40 | 811 |
TM.VAL.MRCH.R2.ZS | Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.R2.ZS.csv | 181 | 21 | 812 |
TM.VAL.MRCH.R3.ZS | Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.R3.ZS.csv | 210 | 46 | 813 |
TM.VAL.MRCH.R4.ZS | Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.R4.ZS.csv | 221 | 47 | 814 |
TM.VAL.MRCH.R5.ZS | Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.R5.ZS.csv | 222 | 48 | 815 |
TM.VAL.MRCH.R6.ZS | Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.R6.ZS.csv | 208 | 45 | 816 |
TM.VAL.MRCH.OR.ZS | Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.OR.ZS.csv | 211 | 40 | 817 |
TM.VAL.MRCH.WR.ZS | Merchandise imports from low- and middle-income economies within region (% of total merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MRCH.WR.ZS.csv | 163 | 45 | 818 |
TG.VAL.TOTL.GD.ZS | Merchandise trade (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/TG.VAL.TOTL.GD.ZS.csv | 241 | 45 | 819 |
EN.ATM.METH.ZG | Methane emissions (% change from 1990) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.METH.ZG.csv | 250 | 22 | 820 |
EN.ATM.METH.KT.CE | Methane emissions (kt of CO2 equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.METH.KT.CE.csv | 252 | 42 | 821 |
EN.ATM.METH.EG.KT.CE | Methane emissions in energy sector (thousand metric tons of CO2 equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.METH.EG.KT.CE.csv | 263 | 39 | 822 |
IQ.SCI.MTHD | Methodology assessment of statistical capacity (scale 0 - 100) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.SCI.MTHD.csv | 177 | 12 | 823 |
MS.MIL.XPND.ZS | Military expenditure (% of central government expenditure) | https://data.cmucreatelab.org/earthtime/WorldBank/MS.MIL.XPND.ZS.csv | 177 | 16 | 824 |
MS.MIL.XPND.GD.ZS | Military expenditure (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/MS.MIL.XPND.GD.ZS.csv | 211 | 24 | 825 |
MS.MIL.XPND.CN | Military expenditure (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/MS.MIL.XPND.CN.csv | 167 | 24 | 826 |
NY.GDP.MINR.RT.ZS | Mineral rents (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.MINR.RT.ZS.csv | 255 | 39 | 827 |
WP15163_4.1 | Mobile account (% age 15+) | https://data.cmucreatelab.org/earthtime/WorldBank/WP15163_4.1.csv | 85 | 1 | 828 |
WP15163_4.3 | Mobile account, female (% age 15+) | https://data.cmucreatelab.org/earthtime/WorldBank/WP15163_4.3.csv | 85 | 1 | 829 |
WP15163_4.8 | Mobile account, income, poorest 40% (% ages 15+) | https://data.cmucreatelab.org/earthtime/WorldBank/WP15163_4.8.csv | 85 | 1 | 830 |
WP15163_4.9 | Mobile account, income, richest 60% (% ages 15+) | https://data.cmucreatelab.org/earthtime/WorldBank/WP15163_4.9.csv | 85 | 1 | 831 |
WP15163_4.2 | Mobile account, male (% age 15+) | https://data.cmucreatelab.org/earthtime/WorldBank/WP15163_4.2.csv | 85 | 1 | 832 |
IT.CEL.SETS | Mobile cellular subscriptions | https://data.cmucreatelab.org/earthtime/WorldBank/IT.CEL.SETS.csv | 260 | 41 | 833 |
IT.CEL.SETS.P2 | Mobile cellular subscriptions (per 100 people) | https://data.cmucreatelab.org/earthtime/WorldBank/IT.CEL.SETS.P2.csv | 260 | 41 | 834 |
SH.STA.TRAF.P5 | Mortality caused by road traffic injury (per 100,000 people) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.TRAF.P5.csv | 231 | 4 | 835 |
SH.DYN.NCOM.ZS | Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DYN.NCOM.ZS.csv | 229 | 4 | 836 |
SP.DYN.AMRT.FE | Mortality rate, adult, female (per 1,000 female adults) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.AMRT.FE.csv | 244 | 54 | 837 |
SP.DYN.AMRT.MA | Mortality rate, adult, male (per 1,000 male adults) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.AMRT.MA.csv | 244 | 54 | 838 |
SP.DYN.IMRT.IN | Mortality rate, infant (per 1,000 live births) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.IMRT.IN.csv | 239 | 49 | 839 |
SP.DYN.IMRT.FE.IN | Mortality rate, infant, female (per 1,000 live births) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.IMRT.FE.IN.csv | 239 | 4 | 840 |
SP.DYN.IMRT.MA.IN | Mortality rate, infant, male (per 1,000 live births) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.IMRT.MA.IN.csv | 239 | 4 | 841 |
SH.DYN.NMRT | Mortality rate, neonatal (per 1,000 live births) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DYN.NMRT.csv | 239 | 26 | 842 |
SH.DYN.MORT | Mortality rate, under-5 (per 1,000 live births) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DYN.MORT.csv | 239 | 49 | 843 |
SH.DYN.MORT.FE | Mortality rate, under-5, female (per 1,000 live births) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DYN.MORT.FE.csv | 239 | 4 | 844 |
SH.DYN.MORT.MA | Mortality rate, under-5, male (per 1,000 live births) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DYN.MORT.MA.csv | 239 | 4 | 845 |
SG.MMR.LEVE.EP | Mothers are guaranteed an equivalent position after maternity leave (1=yes; 0=no) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.MMR.LEVE.EP.csv | 182 | 3 | 846 |
DT.DOD.MLAT.ZS | Multilateral debt (% of total external debt) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.MLAT.ZS.csv | 135 | 40 | 847 |
DT.TDS.MLAT.PG.ZS | Multilateral debt service (% of public and publicly guaranteed debt service) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.MLAT.PG.ZS.csv | 135 | 39 | 848 |
DT.TDS.MLAT.CD | Multilateral debt service (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.MLAT.CD.csv | 135 | 40 | 849 |
NY.GDP.NGAS.RT.ZS | Natural gas rents (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.NGAS.RT.ZS.csv | 190 | 37 | 850 |
GC.AST.TOTL.GD.ZS | Net acquisition of financial assets (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.AST.TOTL.GD.ZS.csv | 160 | 13 | 851 |
GC.AST.TOTL.CN | Net acquisition of financial assets (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.AST.TOTL.CN.csv | 142 | 13 | 852 |
TT.PRI.MRCH.XD.WD | Net barter terms of trade index (2000 = 100) | https://data.cmucreatelab.org/earthtime/WorldBank/TT.PRI.MRCH.XD.WD.csv | 203 | 23 | 853 |
DC.DAC.AUSL.CD | Net bilateral aid flows from DAC donors, Australia (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.AUSL.CD.csv | 218 | 28 | 854 |
DC.DAC.AUTL.CD | Net bilateral aid flows from DAC donors, Austria (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.AUTL.CD.csv | 208 | 34 | 855 |
DC.DAC.BELL.CD | Net bilateral aid flows from DAC donors, Belgium (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.BELL.CD.csv | 210 | 34 | 856 |
DC.DAC.CANL.CD | Net bilateral aid flows from DAC donors, Canada (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.CANL.CD.csv | 216 | 38 | 857 |
DC.DAC.CZEL.CD | Net bilateral aid flows from DAC donors, Czech Republic (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.CZEL.CD.csv | 171 | 8 | 858 |
DC.DAC.DNKL.CD | Net bilateral aid flows from DAC donors, Denmark (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.DNKL.CD.csv | 193 | 31 | 859 |
DC.DAC.CECL.CD | Net bilateral aid flows from DAC donors, European Union institutions (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.CECL.CD.csv | 222 | 37 | 860 |
DC.DAC.FINL.CD | Net bilateral aid flows from DAC donors, Finland (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.FINL.CD.csv | 212 | 26 | 861 |
DC.DAC.FRAL.CD | Net bilateral aid flows from DAC donors, France (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.FRAL.CD.csv | 221 | 36 | 862 |
DC.DAC.DEUL.CD | Net bilateral aid flows from DAC donors, Germany (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.DEUL.CD.csv | 222 | 42 | 863 |
DC.DAC.GRCL.CD | Net bilateral aid flows from DAC donors, Greece (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.GRCL.CD.csv | 204 | 12 | 864 |
DC.DAC.ISLL.CD | Net bilateral aid flows from DAC donors, Iceland (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.ISLL.CD.csv | 86 | 17 | 865 |
DC.DAC.IRLL.CD | Net bilateral aid flows from DAC donors, Ireland (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.IRLL.CD.csv | 190 | 22 | 866 |
DC.DAC.ITAL.CD | Net bilateral aid flows from DAC donors, Italy (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.ITAL.CD.csv | 210 | 35 | 867 |
DC.DAC.JPNL.CD | Net bilateral aid flows from DAC donors, Japan (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.JPNL.CD.csv | 222 | 40 | 868 |
DC.DAC.KORL.CD | Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.KORL.CD.csv | 211 | 23 | 869 |
DC.DAC.LUXL.CD | Net bilateral aid flows from DAC donors, Luxembourg (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.LUXL.CD.csv | 188 | 16 | 870 |
DC.DAC.NLDL.CD | Net bilateral aid flows from DAC donors, Netherlands (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.NLDL.CD.csv | 214 | 34 | 871 |
DC.DAC.NZLL.CD | Net bilateral aid flows from DAC donors, New Zealand (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.NZLL.CD.csv | 183 | 24 | 872 |
DC.DAC.NORL.CD | Net bilateral aid flows from DAC donors, Norway (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.NORL.CD.csv | 211 | 31 | 873 |
DC.DAC.POLL.CD | Net bilateral aid flows from DAC donors, Poland (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.POLL.CD.csv | 164 | 8 | 874 |
DC.DAC.PRTL.CD | Net bilateral aid flows from DAC donors, Portugal (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.PRTL.CD.csv | 174 | 13 | 875 |
DC.DAC.SVKL.CD | Net bilateral aid flows from DAC donors, Slovak Republic (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.SVKL.CD.csv | 111 | 6 | 876 |
DC.DAC.SVNL.CD | Net bilateral aid flows from DAC donors, Slovenia (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.SVNL.CD.csv | 125 | 5 | 877 |
DC.DAC.ESPL.CD | Net bilateral aid flows from DAC donors, Spain (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.ESPL.CD.csv | 206 | 20 | 878 |
DC.DAC.SWEL.CD | Net bilateral aid flows from DAC donors, Sweden (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.SWEL.CD.csv | 203 | 31 | 879 |
DC.DAC.CHEL.CD | Net bilateral aid flows from DAC donors, Switzerland (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.CHEL.CD.csv | 210 | 35 | 880 |
DC.DAC.TOTL.CD | Net bilateral aid flows from DAC donors, Total (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.TOTL.CD.csv | 225 | 46 | 881 |
DC.DAC.GBRL.CD | Net bilateral aid flows from DAC donors, United Kingdom (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.GBRL.CD.csv | 221 | 40 | 882 |
DC.DAC.USAL.CD | Net bilateral aid flows from DAC donors, United States (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DC.DAC.USAL.CD.csv | 219 | 39 | 883 |
BN.TRF.KOGT.CD | Net capital account (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BN.TRF.KOGT.CD.csv | 183 | 17 | 884 |
DT.IXA.DPPG.CD.CG | Net change in interest arrears (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.IXA.DPPG.CD.CG.csv | 135 | 26 | 885 |
NY.TRF.NCTR.KN | Net current transfers from abroad (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.TRF.NCTR.KN.csv | 130 | 28 | 886 |
NY.TRF.NCTR.CN | Net current transfers from abroad (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.TRF.NCTR.CN.csv | 179 | 32 | 887 |
NY.TRF.NCTR.CD | Net current transfers from abroad (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.TRF.NCTR.CD.csv | 179 | 32 | 888 |
FM.AST.DOMS.CN | Net domestic credit (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/FM.AST.DOMS.CN.csv | 185 | 43 | 889 |
BN.KAC.EOMS.CD | Net errors and omissions (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BN.KAC.EOMS.CD.csv | 193 | 31 | 890 |
BN.FIN.TOTL.CD | Net financial account (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BN.FIN.TOTL.CD.csv | 193 | 31 | 891 |
DT.NFL.BLAT.CD | Net financial flows, bilateral (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.BLAT.CD.csv | 135 | 40 | 892 |
DT.NFL.MIBR.CD | Net financial flows, IBRD (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.MIBR.CD.csv | 177 | 41 | 893 |
DT.NFL.MIDA.CD | Net financial flows, IDA (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.MIDA.CD.csv | 173 | 41 | 894 |
DT.NFL.IMFC.CD | Net financial flows, IMF concessional (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.IMFC.CD.csv | 141 | 40 | 895 |
DT.NFL.IMFN.CD | Net financial flows, IMF nonconcessional (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.IMFN.CD.csv | 141 | 40 | 896 |
DT.NFL.MLAT.CD | Net financial flows, multilateral (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.MLAT.CD.csv | 135 | 40 | 897 |
DT.NFL.MOTH.CD | Net financial flows, others (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.MOTH.CD.csv | 135 | 40 | 898 |
DT.NFL.RDBC.CD | Net financial flows, RDB concessional (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.RDBC.CD.csv | 135 | 40 | 899 |
DT.NFL.RDBN.CD | Net financial flows, RDB nonconcessional (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.RDBN.CD.csv | 135 | 40 | 900 |
DT.NFL.DLXF.CD | Net flows on external debt, long-term (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.DLXF.CD.csv | 135 | 40 | 901 |
DT.NFL.DPNG.CD | Net flows on external debt, private nonguaranteed (PNG) (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.DPNG.CD.csv | 135 | 40 | 902 |
DT.NFL.DPPG.CD | Net flows on external debt, public and publicly guaranteed (PPG) (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.DPPG.CD.csv | 135 | 40 | 903 |
DT.NFL.DSTC.CD | Net flows on external debt, short-term (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.DSTC.CD.csv | 135 | 40 | 904 |
DT.NFL.DECT.CD | Net flows on external debt, total (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.DECT.CD.csv | 135 | 40 | 905 |
FM.AST.NFRG.CN | Net foreign assets (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/FM.AST.NFRG.CN.csv | 185 | 43 | 906 |
NY.GSR.NFCY.KN | Net income from abroad (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GSR.NFCY.KN.csv | 19 | 36 | 907 |
NY.GSR.NFCY.CN | Net income from abroad (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GSR.NFCY.CN.csv | 201 | 40 | 908 |
NY.GSR.NFCY.CD | Net income from abroad (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GSR.NFCY.CD.csv | 201 | 40 | 909 |
GC.LBL.TOTL.GD.ZS | Net incurrence of liabilities, total (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.LBL.TOTL.GD.ZS.csv | 176 | 15 | 910 |
GC.LBL.TOTL.CN | Net incurrence of liabilities, total (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.LBL.TOTL.CN.csv | 146 | 16 | 911 |
SE.PRM.NINT.ZS | Net intake rate in grade 1 (% of official school-age population) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.NINT.ZS.csv | 207 | 8 | 912 |
SE.PRM.NINT.FE.ZS | Net intake rate in grade 1, female (% of official school-age population) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.NINT.FE.ZS.csv | 201 | 7 | 913 |
SE.PRM.NINT.MA.ZS | Net intake rate in grade 1, male (% of official school-age population) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.NINT.MA.ZS.csv | 200 | 8 | 914 |
GC.NFN.TOTL.GD.ZS | Net investment in nonfinancial assets (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.NFN.TOTL.GD.ZS.csv | 178 | 21 | 915 |
GC.NFN.TOTL.CN | Net investment in nonfinancial assets (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.NFN.TOTL.CN.csv | 141 | 22 | 916 |
GC.NLD.TOTL.GD.ZS | Net lending (+) / net borrowing (-) (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.NLD.TOTL.GD.ZS.csv | 168 | 22 | 917 |
GC.NLD.TOTL.CN | Net lending (+) / net borrowing (-) (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.NLD.TOTL.CN.csv | 140 | 22 | 918 |
SM.POP.NETM | Net migration | https://data.cmucreatelab.org/earthtime/WorldBank/SM.POP.NETM.csv | 240 | 10 | 919 |
DT.ODA.ODAT.XP.ZS | Net ODA received (% of central government expense) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.ODA.ODAT.XP.ZS.csv | 120 | 17 | 920 |
DT.ODA.ODAT.GN.ZS | Net ODA received (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.ODA.ODAT.GN.ZS.csv | 207 | 40 | 921 |
DT.ODA.ODAT.GI.ZS | Net ODA received (% of gross capital formation) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.ODA.ODAT.GI.ZS.csv | 196 | 38 | 922 |
DT.ODA.ODAT.MP.ZS | Net ODA received (% of imports of goods, services and primary income) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.ODA.ODAT.MP.ZS.csv | 195 | 30 | 923 |
DT.ODA.ODAT.PC.ZS | Net ODA received per capita (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.ODA.ODAT.PC.ZS.csv | 215 | 47 | 924 |
DT.ODA.OATL.KD | Net official aid received (constant 2014 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.ODA.OATL.KD.csv | 74 | 11 | 925 |
DT.ODA.OATL.CD | Net official aid received (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.ODA.OATL.CD.csv | 74 | 11 | 926 |
DT.ODA.ALLD.KD | Net official development assistance and official aid received (constant 2013 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.ODA.ALLD.KD.csv | 221 | 46 | 927 |
DT.ODA.ALLD.CD | Net official development assistance and official aid received (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.ODA.ALLD.CD.csv | 225 | 47 | 928 |
DT.ODA.ODAT.KD | Net official development assistance received (constant 2014 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.ODA.ODAT.KD.csv | 215 | 47 | 929 |
DT.ODA.ODAT.CD | Net official development assistance received (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.ODA.ODAT.CD.csv | 215 | 47 | 930 |
DT.NFL.IAEA.CD | Net official flows from UN agencies, FAO (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.IAEA.CD.csv | 149 | 9 | 931 |
DT.NFL.IFAD.CD | Net official flows from UN agencies, IAEA (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.IFAD.CD.csv | 167 | 28 | 932 |
DT.NFL.UNAI.CD | Net official flows from UN agencies, IFAD (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.UNAI.CD.csv | 180 | 8 | 933 |
DT.NFL.UNDP.CD | Net official flows from UN agencies, ILO (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.UNDP.CD.csv | 225 | 38 | 934 |
DT.NFL.UNEC.CD | Net official flows from UN agencies, UNAIDS (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.UNEC.CD.csv | 32 | 6 | 935 |
DT.NFL.UNFP.CD | Net official flows from UN agencies, UNDP (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.UNFP.CD.csv | 214 | 29 | 936 |
DT.NFL.UNCR.CD | Net official flows from UN agencies, UNECE (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.UNCR.CD.csv | 183 | 28 | 937 |
DT.NFL.UNCF.CD | Net official flows from UN agencies, UNFPA (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.UNCF.CD.csv | 199 | 35 | 938 |
DT.NFL.UNPB.CD | Net official flows from UN agencies, UNHCR (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.UNPB.CD.csv | 68 | 6 | 939 |
DT.NFL.UNRW.CD | Net official flows from UN agencies, UNICEF (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.UNRW.CD.csv | 32 | 35 | 940 |
DT.NFL.UNTA.CD | Net official flows from UN agencies, UNPBF (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.UNTA.CD.csv | 222 | 33 | 941 |
DT.NFL.WFPG.CD | Net official flows from UN agencies, UNRWA (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.WFPG.CD.csv | 189 | 31 | 942 |
DT.NFL.WHOL.CD | Net official flows from UN agencies, UNTA (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.WHOL.CD.csv | 152 | 5 | 943 |
BN.GSR.FCTY.CD | Net official flows from UN agencies, WFP (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BN.GSR.FCTY.CD.csv | 194 | 31 | 944 |
BN.TRF.CURR.CD | Net official flows from UN agencies, WHO (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BN.TRF.CURR.CD.csv | 194 | 30 | 945 |
NY.TAX.NIND.KN | Net primary income (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.TAX.NIND.KN.csv | 166 | 31 | 946 |
NY.TAX.NIND.CN | Net secondary income (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.TAX.NIND.CN.csv | 177 | 35 | 947 |
NY.TAX.NIND.CD | Net taxes on products (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.TAX.NIND.CD.csv | 176 | 35 | 948 |
BN.GSR.MRCH.CD | Net taxes on products (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/BN.GSR.MRCH.CD.csv | 194 | 31 | 949 |
BN.GSR.GNFS.CD | Net taxes on products (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BN.GSR.GNFS.CD.csv | 194 | 31 | 950 |
DT.NTR.DLXF.CD | Net trade in goods (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.DLXF.CD.csv | 135 | 40 | 951 |
DT.NTR.DPNG.CD | Net trade in goods and services (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.DPNG.CD.csv | 135 | 40 | 952 |
DT.NTR.DPPG.CD | Net transfers on external debt, long-term (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.DPPG.CD.csv | 135 | 40 | 953 |
DT.NTR.DECT.CD | Net transfers on external debt, private nonguaranteed (PNG) (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.DECT.CD.csv | 135 | 40 | 954 |
IC.BUS.NDNS.ZS | Net transfers on external debt, public and publicly guaranteed (PPG) (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.BUS.NDNS.ZS.csv | 183 | 8 | 955 |
IC.BUS.NREG | Net transfers on external debt, total (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.BUS.NREG.csv | 137 | 8 | 956 |
SH.VAC.TTNS.ZS | New business density (new registrations per 1,000 people ages 15-64) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.VAC.TTNS.ZS.csv | 135 | 30 | 957 |
EN.ATM.NOXE.ZG | New businesses registered (number) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.NOXE.ZG.csv | 251 | 22 | 958 |
EN.ATM.NOXE.KT.CE | Newborns protected against tetanus (%) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.NOXE.KT.CE.csv | 253 | 42 | 959 |
EN.ATM.NOXE.EG.ZS | Nitrous oxide emissions (% change from 1990) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.NOXE.EG.ZS.csv | 251 | 38 | 960 |
EN.ATM.NOXE.EG.KT.CE | Nitrous oxide emissions (thousand metric tons of CO2 equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.NOXE.EG.KT.CE.csv | 263 | 39 | 961 |
SG.NOD.CONS | Nitrous oxide emissions in energy sector (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.NOD.CONS.csv | 128 | 3 | 962 |
SG.JOB.NOPN.EQ | Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.JOB.NOPN.EQ.csv | 188 | 3 | 963 |
SH.DTH.IMRT | Nondiscrimination clause mentions gender in the constitution (1=yes; 0=no) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DTH.IMRT.csv | 206 | 49 | 964 |
SH.MMR.DTHS | Nonpregnant and nonnursing women can do the same jobs as men (1=yes; 0=no) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.MMR.DTHS.csv | 229 | 26 | 965 |
SH.DTH.NMRT | Number of infant deaths | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DTH.NMRT.csv | 206 | 26 | 966 |
SH.SGR.PROC.P5 | Number of maternal deaths | https://data.cmucreatelab.org/earthtime/WorldBank/SH.SGR.PROC.P5.csv | 65 | 1 | 967 |
SH.DTH.MORT | Number of neonatal deaths | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DTH.MORT.csv | 206 | 49 | 968 |
IC.TAX.METG | Number of surgical procedures (per 100,000 population) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.TAX.METG.csv | 192 | 1 | 969 |
SH.MED.NUMW.P3 | Number of under-five deaths | https://data.cmucreatelab.org/earthtime/WorldBank/SH.MED.NUMW.P3.csv | 236 | 5 | 970 |
PA.NUS.FCRF | Number of visits or required meetings with tax officials | https://data.cmucreatelab.org/earthtime/WorldBank/PA.NUS.FCRF.csv | 187 | 48 | 971 |
NY.GDP.PETR.RT.ZS | Nurses and midwives (per 1,000 people) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.PETR.RT.ZS.csv | 190 | 38 | 972 |
TX.VAL.MMTL.ZS.UN | Official exchange rate (LCU per US$, period average) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.MMTL.ZS.UN.csv | 239 | 33 | 973 |
TM.VAL.MMTL.ZS.UN | Oil rents (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.MMTL.ZS.UN.csv | 241 | 33 | 974 |
GC.XPN.OTHR.ZS | Ores and metals exports (% of merchandise exports) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.OTHR.ZS.csv | 189 | 14 | 975 |
GC.XPN.OTHR.CN | Ores and metals imports (% of merchandise imports) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.OTHR.CN.csv | 146 | 15 | 976 |
EN.ATM.GHGO.ZG | Other expense (% of expense) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.GHGO.ZG.csv | 234 | 21 | 977 |
EN.ATM.GHGO.KT.CE | Other expense (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.GHGO.KT.CE.csv | 245 | 43 | 978 |
NV.MNF.OTHR.ZS.UN | Other greenhouse gas emissions (% change from 1990) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.MNF.OTHR.ZS.UN.csv | 147 | 28 | 979 |
GC.TAX.OTHR.RV.ZS | Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.OTHR.RV.ZS.csv | 197 | 21 | 980 |
GC.TAX.OTHR.CN | Other manufacturing (% of value added in manufacturing) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.OTHR.CN.csv | 155 | 22 | 981 |
IC.TAX.OTHR.CP.ZS | Other taxes (% of revenue) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.TAX.OTHR.CP.ZS.csv | 223 | 3 | 982 |
SH.XPD.OOPC.ZS | Other taxes (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.XPD.OOPC.ZS.csv | 236 | 19 | 983 |
SH.XPD.OOPC.TO.ZS | Other taxes payable by businesses (% of commercial profits) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.XPD.OOPC.TO.ZS.csv | 236 | 19 | 984 |
SE.PRM.OENR.ZS | Out-of-pocket health expenditure (% of private expenditure on health) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.OENR.ZS.csv | 200 | 20 | 985 |
SE.PRM.OENR.FE.ZS | Out-of-pocket health expenditure (% of total expenditure on health) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.OENR.FE.ZS.csv | 200 | 19 | 986 |
SE.PRM.OENR.MA.ZS | Over-age students, primary (% of enrollment) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.OENR.MA.ZS.csv | 200 | 19 | 987 |
IQ.SCI.OVRL | Over-age students, primary, female (% of female enrollment) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.SCI.OVRL.csv | 177 | 12 | 988 |
IP.PAT.NRES | Over-age students, primary, male (% of male enrollment) | https://data.cmucreatelab.org/earthtime/WorldBank/IP.PAT.NRES.csv | 195 | 30 | 989 |
IP.PAT.RESD | Overall level of statistical capacity (scale 0 - 100) | https://data.cmucreatelab.org/earthtime/WorldBank/IP.PAT.RESD.csv | 185 | 29 | 990 |
SH.STA.ODFC.ZS | Patent applications, nonresidents | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.ODFC.ZS.csv | 239 | 24 | 991 |
SH.STA.ODFC.RU.ZS | Patent applications, residents | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.ODFC.RU.ZS.csv | 236 | 24 | 992 |
SH.STA.ODFC.UR.ZS | People practicing open defecation (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.ODFC.UR.ZS.csv | 240 | 24 | 993 |
IQ.SCI.PRDC | People practicing open defecation, rural (% of rural population) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.SCI.PRDC.csv | 177 | 12 | 994 |
AG.LND.CROP.ZS | People practicing open defecation, urban (% of urban population) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.CROP.ZS.csv | 243 | 49 | 995 |
SE.PRM.PRS5.FE.ZS | Periodicity and timeliness assessment of statistical capacity (scale 0 - 100) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.PRS5.FE.ZS.csv | 191 | 13 | 996 |
SE.PRM.PRS5.MA.ZS | Permanent cropland (% of land area) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.PRS5.MA.ZS.csv | 191 | 13 | 997 |
SE.PRM.PRS5.ZS | Persistence to grade 5, female (% of cohort) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.PRS5.ZS.csv | 197 | 16 | 998 |
SE.PRM.PRSL.FE.ZS | Persistence to grade 5, male (% of cohort) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.PRSL.FE.ZS.csv | 229 | 19 | 999 |
SE.PRM.PRSL.MA.ZS | Persistence to grade 5, total (% of cohort) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.PRSL.MA.ZS.csv | 229 | 19 | 1000 |
SE.PRM.PRSL.ZS | Persistence to last grade of primary, female (% of cohort) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.PRSL.ZS.csv | 233 | 22 | 1001 |
BM.TRF.PWKR.CD.DT | Persistence to last grade of primary, male (% of cohort) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.TRF.PWKR.CD.DT.csv | 239 | 30 | 1002 |
BX.TRF.PWKR.DT.GD.ZS | Persistence to last grade of primary, total (% of cohort) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.TRF.PWKR.DT.GD.ZS.csv | 233 | 29 | 1003 |
BX.TRF.PWKR.CD.DT | Personal remittances, paid (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.TRF.PWKR.CD.DT.csv | 238 | 31 | 1004 |
BX.TRF.PWKR.CD | Personal remittances, received (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.TRF.PWKR.CD.csv | 210 | 20 | 1005 |
EN.ATM.PFCG.KT.CE | Personal remittances, received (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.PFCG.KT.CE.csv | 163 | 4 | 1006 |
SH.MED.PHYS.ZS | Personal transfers, receipts (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.MED.PHYS.ZS.csv | 252 | 16 | 1007 |
EN.HPT.THRD.NO | PFC gas emissions (thousand metric tons of CO2 equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.HPT.THRD.NO.csv | 261 | 1 | 1008 |
EN.ATM.PM25.MC.M3 | Physicians (per 1,000 people) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.PM25.MC.M3.csv | 240 | 10 | 1009 |
EN.ATM.PM25.MC.ZS | Plant species (higher), threatened | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.PM25.MC.ZS.csv | 240 | 10 | 1010 |
DT.AMT.PNGB.CD | PM2.5 air pollution, mean annual exposure (micrograms per cubic meter) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.PNGB.CD.csv | 135 | 40 | 1011 |
DT.DIS.PNGB.CD | PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.PNGB.CD.csv | 135 | 40 | 1012 |
DT.DOD.PNGB.CD | PNG, bonds (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.PNGB.CD.csv | 135 | 40 | 1013 |
DT.INT.PNGB.CD | PNG, bonds (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.PNGB.CD.csv | 135 | 40 | 1014 |
DT.NFL.PNGB.CD | PNG, bonds (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.PNGB.CD.csv | 135 | 40 | 1015 |
DT.NTR.PNGB.CD | PNG, bonds (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.PNGB.CD.csv | 135 | 40 | 1016 |
DT.TDS.PNGB.CD | PNG, bonds (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.PNGB.CD.csv | 135 | 40 | 1017 |
DT.AMT.PNGC.CD | PNG, bonds (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.PNGC.CD.csv | 135 | 40 | 1018 |
DT.DIS.PNGC.CD | PNG, bonds (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.PNGC.CD.csv | 135 | 40 | 1019 |
DT.DOD.PNGC.CD | PNG, commercial banks and other creditors (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.PNGC.CD.csv | 135 | 40 | 1020 |
DT.INT.PNGC.CD | PNG, commercial banks and other creditors (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.PNGC.CD.csv | 135 | 40 | 1021 |
DT.NFL.PNGC.CD | PNG, commercial banks and other creditors (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.PNGC.CD.csv | 135 | 40 | 1022 |
DT.NTR.PNGC.CD | PNG, commercial banks and other creditors (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.PNGC.CD.csv | 135 | 40 | 1023 |
DT.TDS.PNGC.CD | PNG, commercial banks and other creditors (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.PNGC.CD.csv | 135 | 40 | 1024 |
FB.POS.TOTL.P5 | PNG, commercial banks and other creditors (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/FB.POS.TOTL.P5.csv | 104 | 1 | 1025 |
SP.POP.0014.TO.ZS | PNG, commercial banks and other creditors (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.0014.TO.ZS.csv | 241 | 55 | 1026 |
SP.POP.0004.FE.5Y | Point-of-sale terminals (per 100,000 adults) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.0004.FE.5Y.csv | 194 | 55 | 1027 |
SP.POP.0004.MA.5Y | Population ages 0-14 (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.0004.MA.5Y.csv | 194 | 55 | 1028 |
SP.POP.1014.FE.5Y | Population ages 0-4, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.1014.FE.5Y.csv | 194 | 55 | 1029 |
SP.POP.1014.MA.5Y | Population ages 0-4, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.1014.MA.5Y.csv | 194 | 55 | 1030 |
SP.POP.1519.FE.5Y | Population ages 10-14, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.1519.FE.5Y.csv | 194 | 55 | 1031 |
SP.POP.1519.MA.5Y | Population ages 10-14, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.1519.MA.5Y.csv | 194 | 55 | 1032 |
SP.POP.1564.TO.ZS | Population ages 15-19, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.1564.TO.ZS.csv | 241 | 55 | 1033 |
SP.POP.2024.FE.5Y | Population ages 15-19, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.2024.FE.5Y.csv | 194 | 55 | 1034 |
SP.POP.2024.MA.5Y | Population ages 15-64 (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.2024.MA.5Y.csv | 194 | 55 | 1035 |
SP.POP.2529.FE.5Y | Population ages 20-24, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.2529.FE.5Y.csv | 194 | 55 | 1036 |
SP.POP.2529.MA.5Y | Population ages 20-24, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.2529.MA.5Y.csv | 194 | 55 | 1037 |
SP.POP.3034.FE.5Y | Population ages 25-29, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.3034.FE.5Y.csv | 194 | 55 | 1038 |
SP.POP.3034.MA.5Y | Population ages 25-29, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.3034.MA.5Y.csv | 194 | 55 | 1039 |
SP.POP.3539.FE.5Y | Population ages 30-34, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.3539.FE.5Y.csv | 194 | 55 | 1040 |
SP.POP.3539.MA.5Y | Population ages 30-34, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.3539.MA.5Y.csv | 194 | 55 | 1041 |
SP.POP.4044.FE.5Y | Population ages 35-39, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.4044.FE.5Y.csv | 194 | 55 | 1042 |
SP.POP.4044.MA.5Y | Population ages 35-39, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.4044.MA.5Y.csv | 194 | 55 | 1043 |
SP.POP.4549.FE.5Y | Population ages 40-44, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.4549.FE.5Y.csv | 194 | 55 | 1044 |
SP.POP.4549.MA.5Y | Population ages 40-44, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.4549.MA.5Y.csv | 194 | 55 | 1045 |
SP.POP.5054.FE.5Y | Population ages 45-49, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.5054.FE.5Y.csv | 194 | 55 | 1046 |
SP.POP.5054.MA.5Y | Population ages 45-49, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.5054.MA.5Y.csv | 194 | 55 | 1047 |
SP.POP.5559.FE.5Y | Population ages 50-54, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.5559.FE.5Y.csv | 194 | 55 | 1048 |
SP.POP.5559.MA.5Y | Population ages 50-54, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.5559.MA.5Y.csv | 194 | 55 | 1049 |
SP.POP.0509.FE.5Y | Population ages 55-59, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.0509.FE.5Y.csv | 194 | 55 | 1050 |
SP.POP.0509.MA.5Y | Population ages 55-59, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.0509.MA.5Y.csv | 194 | 55 | 1051 |
SP.POP.6064.FE.5Y | Population ages 5-9, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.6064.FE.5Y.csv | 194 | 55 | 1052 |
SP.POP.6064.MA.5Y | Population ages 5-9, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.6064.MA.5Y.csv | 194 | 55 | 1053 |
SP.POP.65UP.TO.ZS | Population ages 60-64, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.65UP.TO.ZS.csv | 241 | 55 | 1054 |
SP.POP.6569.FE.5Y | Population ages 60-64, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.6569.FE.5Y.csv | 194 | 55 | 1055 |
SP.POP.6569.MA.5Y | Population ages 65 and above (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.6569.MA.5Y.csv | 194 | 55 | 1056 |
SP.POP.7074.FE.5Y | Population ages 65-69, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.7074.FE.5Y.csv | 194 | 55 | 1057 |
SP.POP.7074.MA.5Y | Population ages 65-69, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.7074.MA.5Y.csv | 194 | 55 | 1058 |
SP.POP.7579.FE.5Y | Population ages 70-74, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.7579.FE.5Y.csv | 194 | 55 | 1059 |
SP.POP.7579.MA.5Y | Population ages 70-74, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.7579.MA.5Y.csv | 194 | 55 | 1060 |
SP.POP.80UP.FE.5Y | Population ages 75-79, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.80UP.FE.5Y.csv | 194 | 55 | 1061 |
SP.POP.80UP.MA.5Y | Population ages 75-79, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.80UP.MA.5Y.csv | 194 | 55 | 1062 |
EN.POP.DNST | Population ages 80 and above, female (% of female population) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.POP.DNST.csv | 262 | 53 | 1063 |
SP.POP.GROW | Population ages 80 and above, male (% of male population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.GROW.csv | 263 | 55 | 1064 |
EN.URB.LCTY | Population density (people per sq. km of land area) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.URB.LCTY.csv | 151 | 55 | 1065 |
EN.URB.LCTY.UR.ZS | Population growth (annual %) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.URB.LCTY.UR.ZS.csv | 193 | 55 | 1066 |
EN.URB.MCTY | Population in largest city | https://data.cmucreatelab.org/earthtime/WorldBank/EN.URB.MCTY.csv | 115 | 55 | 1067 |
EN.URB.MCTY.TL.ZS | Population in the largest city (% of urban population) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.URB.MCTY.TL.ZS.csv | 150 | 55 | 1068 |
EN.POP.EL5M.ZS | Population in urban agglomerations of more than 1 million | https://data.cmucreatelab.org/earthtime/WorldBank/EN.POP.EL5M.ZS.csv | 225 | 3 | 1069 |
EN.POP.SLUM.UR.ZS | Population in urban agglomerations of more than 1 million (% of total population) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.POP.SLUM.UR.ZS.csv | 138 | 4 | 1070 |
SP.POP.TOTL.FE.ZS | Population living in areas where elevation is below 5 meters (% of total population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.TOTL.FE.ZS.csv | 241 | 55 | 1071 |
SP.POP.TOTL | Population living in slums (% of urban population) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.TOTL.csv | 263 | 55 | 1072 |
BX.PEF.TOTL.CD.WD | Population, female (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.PEF.TOTL.CD.WD.csv | 232 | 32 | 1073 |
DT.NFL.BOND.CD | Population, total | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.BOND.CD.csv | 98 | 20 | 1074 |
BN.KLT.PTXL.CD | Portfolio equity, net inflows (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BN.KLT.PTXL.CD.csv | 181 | 23 | 1075 |
SI.POV.GAPS | Portfolio investment, bonds (PPG + PNG) (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.POV.GAPS.csv | 149 | 9 | 1076 |
SI.POV.GAP2 | Portfolio investment, net (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.POV.GAP2.csv | 148 | 9 | 1077 |
SI.POV.NAGP | Poverty gap at $1.90 a day (2011 PPP) (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.POV.NAGP.csv | 95 | 3 | 1078 |
SI.POV.DDAY | Poverty gap at $3.10 a day (2011 PPP) (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.POV.DDAY.csv | 149 | 9 | 1079 |
SI.POV.2DAY | Poverty gap at national poverty lines (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.POV.2DAY.csv | 148 | 9 | 1080 |
SI.POV.NAHC | Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.POV.NAHC.csv | 131 | 5 | 1081 |
IC.ELC.OUTG | Poverty headcount ratio at $3.10 a day (2011 PPP) (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.ELC.OUTG.csv | 184 | 1 | 1082 |
DT.AMT.BLAT.CD | Poverty headcount ratio at national poverty lines (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.BLAT.CD.csv | 135 | 42 | 1083 |
DT.DIS.BLAT.CD | Power outages in firms in a typical month (number) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.BLAT.CD.csv | 135 | 41 | 1084 |
DT.DOD.BLAT.CD | PPG, bilateral (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.BLAT.CD.csv | 135 | 40 | 1085 |
DT.INT.BLAT.CD | PPG, bilateral (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.BLAT.CD.csv | 135 | 41 | 1086 |
DT.NTR.BLAT.CD | PPG, bilateral (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.BLAT.CD.csv | 135 | 40 | 1087 |
DT.TDS.BLAT.CD | PPG, bilateral (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.BLAT.CD.csv | 135 | 40 | 1088 |
DT.AMT.BLTC.CD | PPG, bilateral (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.BLTC.CD.csv | 135 | 40 | 1089 |
DT.DIS.BLTC.CD | PPG, bilateral (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.BLTC.CD.csv | 135 | 40 | 1090 |
DT.DOD.BLTC.CD | PPG, bilateral concessional (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.BLTC.CD.csv | 135 | 40 | 1091 |
DT.INT.BLTC.CD | PPG, bilateral concessional (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.BLTC.CD.csv | 135 | 40 | 1092 |
DT.NFL.BLTC.CD | PPG, bilateral concessional (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.BLTC.CD.csv | 135 | 40 | 1093 |
DT.NTR.BLTC.CD | PPG, bilateral concessional (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.BLTC.CD.csv | 135 | 40 | 1094 |
DT.TDS.BLTC.CD | PPG, bilateral concessional (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.BLTC.CD.csv | 135 | 40 | 1095 |
DT.AMT.PBND.CD | PPG, bilateral concessional (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.PBND.CD.csv | 135 | 41 | 1096 |
DT.DIS.PBND.CD | PPG, bilateral concessional (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.PBND.CD.csv | 135 | 40 | 1097 |
DT.DOD.PBND.CD | PPG, bonds (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.PBND.CD.csv | 135 | 40 | 1098 |
DT.INT.PBND.CD | PPG, bonds (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.PBND.CD.csv | 135 | 41 | 1099 |
DT.NFL.PBND.CD | PPG, bonds (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.PBND.CD.csv | 135 | 40 | 1100 |
DT.NTR.PBND.CD | PPG, bonds (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.PBND.CD.csv | 135 | 40 | 1101 |
DT.TDS.PBND.CD | PPG, bonds (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.PBND.CD.csv | 135 | 40 | 1102 |
DT.AMT.PCBK.CD | PPG, bonds (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.PCBK.CD.csv | 135 | 41 | 1103 |
DT.DIS.PCBK.CD | PPG, bonds (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.PCBK.CD.csv | 135 | 41 | 1104 |
DT.DOD.PCBK.CD | PPG, commercial banks (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.PCBK.CD.csv | 135 | 40 | 1105 |
DT.INT.PCBK.CD | PPG, commercial banks (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.PCBK.CD.csv | 135 | 41 | 1106 |
DT.NFL.PCBK.CD | PPG, commercial banks (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.PCBK.CD.csv | 135 | 40 | 1107 |
DT.NTR.PCBK.CD | PPG, commercial banks (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.PCBK.CD.csv | 135 | 40 | 1108 |
DT.TDS.PCBK.CD | PPG, commercial banks (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.PCBK.CD.csv | 135 | 40 | 1109 |
DT.AMT.MIBR.CD | PPG, commercial banks (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.MIBR.CD.csv | 135 | 41 | 1110 |
DT.DIS.MIBR.CD | PPG, commercial banks (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.MIBR.CD.csv | 135 | 41 | 1111 |
DT.DOD.MIBR.CD | PPG, IBRD (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.MIBR.CD.csv | 135 | 41 | 1112 |
DT.INT.MIBR.CD | PPG, IBRD (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.MIBR.CD.csv | 135 | 41 | 1113 |
DT.NTR.MIBR.CD | PPG, IBRD (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.MIBR.CD.csv | 135 | 41 | 1114 |
DT.TDS.MIBR.CD | PPG, IBRD (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.MIBR.CD.csv | 135 | 41 | 1115 |
DT.AMT.MIDA.CD | PPG, IBRD (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.MIDA.CD.csv | 135 | 41 | 1116 |
DT.DIS.MIDA.CD | PPG, IBRD (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.MIDA.CD.csv | 135 | 41 | 1117 |
DT.DOD.MIDA.CD | PPG, IDA (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.MIDA.CD.csv | 135 | 41 | 1118 |
DT.INT.MIDA.CD | PPG, IDA (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.MIDA.CD.csv | 135 | 41 | 1119 |
DT.NTR.MIDA.CD | PPG, IDA (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.MIDA.CD.csv | 135 | 41 | 1120 |
DT.TDS.MIDA.CD | PPG, IDA (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.MIDA.CD.csv | 135 | 41 | 1121 |
DT.AMT.MLAT.CD | PPG, IDA (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.MLAT.CD.csv | 135 | 41 | 1122 |
DT.DIS.MLAT.CD | PPG, IDA (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.MLAT.CD.csv | 135 | 41 | 1123 |
DT.DOD.MLAT.CD | PPG, multilateral (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.MLAT.CD.csv | 135 | 40 | 1124 |
DT.INT.MLAT.CD | PPG, multilateral (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.MLAT.CD.csv | 135 | 41 | 1125 |
DT.NTR.MLAT.CD | PPG, multilateral (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.MLAT.CD.csv | 135 | 40 | 1126 |
DT.AMT.MLTC.CD | PPG, multilateral (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.MLTC.CD.csv | 135 | 40 | 1127 |
DT.DIS.MLTC.CD | PPG, multilateral (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.MLTC.CD.csv | 135 | 40 | 1128 |
DT.DOD.MLTC.CD | PPG, multilateral concessional (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.MLTC.CD.csv | 135 | 40 | 1129 |
DT.INT.MLTC.CD | PPG, multilateral concessional (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.MLTC.CD.csv | 135 | 40 | 1130 |
DT.NFL.MLTC.CD | PPG, multilateral concessional (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.MLTC.CD.csv | 135 | 40 | 1131 |
DT.NTR.MLTC.CD | PPG, multilateral concessional (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.MLTC.CD.csv | 135 | 40 | 1132 |
DT.TDS.MLTC.CD | PPG, multilateral concessional (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.MLTC.CD.csv | 135 | 40 | 1133 |
DT.AMT.OFFT.CD | PPG, multilateral concessional (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.OFFT.CD.csv | 135 | 41 | 1134 |
DT.DIS.OFFT.CD | PPG, multilateral concessional (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.OFFT.CD.csv | 135 | 41 | 1135 |
DT.DOD.OFFT.CD | PPG, official creditors (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.OFFT.CD.csv | 135 | 40 | 1136 |
DT.INT.OFFT.CD | PPG, official creditors (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.OFFT.CD.csv | 135 | 41 | 1137 |
DT.NFL.OFFT.CD | PPG, official creditors (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.OFFT.CD.csv | 135 | 40 | 1138 |
DT.NTR.OFFT.CD | PPG, official creditors (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.OFFT.CD.csv | 135 | 40 | 1139 |
DT.TDS.OFFT.CD | PPG, official creditors (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.OFFT.CD.csv | 135 | 40 | 1140 |
DT.AMT.PROP.CD | PPG, official creditors (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.PROP.CD.csv | 135 | 41 | 1141 |
DT.DIS.PROP.CD | PPG, official creditors (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.PROP.CD.csv | 135 | 41 | 1142 |
DT.DOD.PROP.CD | PPG, other private creditors (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.PROP.CD.csv | 135 | 40 | 1143 |
DT.INT.PROP.CD | PPG, other private creditors (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.PROP.CD.csv | 135 | 41 | 1144 |
DT.NFL.PROP.CD | PPG, other private creditors (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.PROP.CD.csv | 135 | 40 | 1145 |
DT.NTR.PROP.CD | PPG, other private creditors (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.PROP.CD.csv | 135 | 40 | 1146 |
DT.TDS.PROP.CD | PPG, other private creditors (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.PROP.CD.csv | 135 | 40 | 1147 |
DT.AMT.PRVT.CD | PPG, other private creditors (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.PRVT.CD.csv | 135 | 41 | 1148 |
DT.DIS.PRVT.CD | PPG, other private creditors (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DIS.PRVT.CD.csv | 135 | 41 | 1149 |
DT.DOD.PRVT.CD | PPG, private creditors (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.PRVT.CD.csv | 135 | 40 | 1150 |
DT.INT.PRVT.CD | PPG, private creditors (DIS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.INT.PRVT.CD.csv | 135 | 41 | 1151 |
DT.NFL.PRVT.CD | PPG, private creditors (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NFL.PRVT.CD.csv | 135 | 40 | 1152 |
DT.NTR.PRVT.CD | PPG, private creditors (INT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.NTR.PRVT.CD.csv | 135 | 40 | 1153 |
DT.TDS.PRVT.CD | PPG, private creditors (NFL, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.PRVT.CD.csv | 135 | 40 | 1154 |
PA.NUS.PPP | PPG, private creditors (NTR, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/PA.NUS.PPP.csv | 201 | 23 | 1155 |
PA.NUS.PRVT.PP | PPG, private creditors (TDS, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/PA.NUS.PRVT.PP.csv | 206 | 20 | 1156 |
SH.STA.ANVC.ZS | PPP conversion factor, GDP (LCU per international $) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.ANVC.ZS.csv | 206 | 4 | 1157 |
SE.PRE.DURS | PPP conversion factor, private consumption (LCU per international $) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRE.DURS.csv | 255 | 45 | 1158 |
VC.PKP.TOTL.UN | Pregnant women receiving prenatal care (%) | https://data.cmucreatelab.org/earthtime/WorldBank/VC.PKP.TOTL.UN.csv | 22 | 5 | 1159 |
DT.DOD.PVLX.EX.ZS | Preprimary education, duration (years) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.PVLX.EX.ZS.csv | 109 | 1 | 1160 |
DT.DOD.PVLX.GN.ZS | Presence of peace keepers (number of troops, police, and military observers in mandate) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.PVLX.GN.ZS.csv | 109 | 1 | 1161 |
DT.DOD.PVLX.CD | Present value of external debt (% of exports of goods, services and primary income) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.PVLX.CD.csv | 135 | 1 | 1162 |
SH.ANM.CHLD.ZS | Present value of external debt (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.ANM.CHLD.ZS.csv | 231 | 22 | 1163 |
SH.ANM.NPRG.ZS | Present value of external debt (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.ANM.NPRG.ZS.csv | 231 | 17 | 1164 |
SH.PRG.ANEM | Prevalence of anemia among children (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.PRG.ANEM.csv | 231 | 17 | 1165 |
SH.ANM.ALLW.ZS | Prevalence of anemia among non-pregnant women (% of women ages 15-49) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.ANM.ALLW.ZS.csv | 235 | 17 | 1166 |
SH.HIV.1524.FE.ZS | Prevalence of anemia among pregnant women (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.HIV.1524.FE.ZS.csv | 126 | 26 | 1167 |
SH.HIV.1524.MA.ZS | Prevalence of anemia among women of reproductive age (% of women ages 15-49) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.HIV.1524.MA.ZS.csv | 126 | 26 | 1168 |
SH.DYN.AIDS.ZS | Prevalence of HIV, female (% ages 15-24) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DYN.AIDS.ZS.csv | 126 | 26 | 1169 |
SH.STA.OWGH.ZS | Prevalence of HIV, male (% ages 15-24) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.OWGH.ZS.csv | 167 | 4 | 1170 |
SH.STA.OWGH.FE.ZS | Prevalence of HIV, total (% of population ages 15-49) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.OWGH.FE.ZS.csv | 137 | 3 | 1171 |
SH.STA.OWGH.MA.ZS | Prevalence of overweight, weight for height (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.OWGH.MA.ZS.csv | 138 | 3 | 1172 |
SH.SVR.WAST.ZS | Prevalence of overweight, weight for height, female (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.SVR.WAST.ZS.csv | 154 | 3 | 1173 |
SH.SVR.WAST.FE.ZS | Prevalence of overweight, weight for height, male (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.SVR.WAST.FE.ZS.csv | 135 | 3 | 1174 |
SH.SVR.WAST.MA.ZS | Prevalence of severe wasting, weight for height (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.SVR.WAST.MA.ZS.csv | 136 | 3 | 1175 |
SH.STA.STNT.ZS | Prevalence of severe wasting, weight for height, female (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.STNT.ZS.csv | 169 | 5 | 1176 |
SH.STA.STNT.FE.ZS | Prevalence of severe wasting, weight for height, male (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.STNT.FE.ZS.csv | 138 | 3 | 1177 |
SH.STA.STNT.MA.ZS | Prevalence of stunting, height for age (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.STNT.MA.ZS.csv | 139 | 3 | 1178 |
SN.ITK.DEFC.ZS | Prevalence of stunting, height for age, female (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SN.ITK.DEFC.ZS.csv | 150 | 24 | 1179 |
SH.STA.MALN.ZS | Prevalence of stunting, height for age, male (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.MALN.ZS.csv | 169 | 5 | 1180 |
SH.STA.MALN.FE.ZS | Prevalence of undernourishment (% of population) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.MALN.FE.ZS.csv | 139 | 3 | 1181 |
SH.STA.MALN.MA.ZS | Prevalence of underweight, weight for age (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.MALN.MA.ZS.csv | 140 | 3 | 1182 |
SH.STA.WAST.ZS | Prevalence of underweight, weight for age, female (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.WAST.ZS.csv | 169 | 4 | 1183 |
SH.STA.WAST.FE.ZS | Prevalence of underweight, weight for age, male (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.WAST.FE.ZS.csv | 137 | 3 | 1184 |
SH.STA.WAST.MA.ZS | Prevalence of wasting, weight for height (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.WAST.MA.ZS.csv | 138 | 3 | 1185 |
PA.NUS.PPPC.RF | Prevalence of wasting, weight for height, female (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/PA.NUS.PPPC.RF.csv | 194 | 24 | 1186 |
SE.PRM.CMPT.FE.ZS | Prevalence of wasting, weight for height, male (% of children under 5) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.CMPT.FE.ZS.csv | 232 | 24 | 1187 |
SE.PRM.CMPT.MA.ZS | Price level ratio of PPP conversion factor (GDP) to market exchange rate | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.CMPT.MA.ZS.csv | 232 | 24 | 1188 |
SE.PRM.CMPT.ZS | Primary completion rate, female (% of relevant age group) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.CMPT.ZS.csv | 234 | 26 | 1189 |
SE.PRM.DURS | Primary completion rate, male (% of relevant age group) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.DURS.csv | 255 | 46 | 1190 |
SE.PRM.ENRL | Primary completion rate, total (% of relevant age group) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.ENRL.csv | 257 | 36 | 1191 |
SE.PRM.ENRL.FE.ZS | Primary education, duration (years) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.ENRL.FE.ZS.csv | 251 | 34 | 1192 |
SE.PRM.TCHR | Primary education, pupils | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.TCHR.csv | 252 | 30 | 1193 |
SE.PRM.TCHR.FE.ZS | Primary education, pupils (% female) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.TCHR.FE.ZS.csv | 247 | 27 | 1194 |
BX.KLT.DREM.CD.DT | Primary education, teachers | https://data.cmucreatelab.org/earthtime/WorldBank/BX.KLT.DREM.CD.DT.csv | 135 | 45 | 1195 |
BM.GSR.FCTY.CD | Primary education, teachers (% female) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.GSR.FCTY.CD.csv | 239 | 30 | 1196 |
BX.GSR.FCTY.CD | Primary income on FDI, payments (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GSR.FCTY.CD.csv | 239 | 29 | 1197 |
SE.PRM.AGES | Primary income payments (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.AGES.csv | 210 | 45 | 1198 |
DT.AXA.DPPG.CD | Primary income receipts (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AXA.DPPG.CD.csv | 135 | 40 | 1199 |
DT.AXA.OFFT.CD | Primary school starting age (years) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AXA.OFFT.CD.csv | 135 | 40 | 1200 |
DT.AXA.PRVT.CD | Principal arrears, long-term DOD (US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AXA.PRVT.CD.csv | 135 | 40 | 1201 |
DT.AXF.DPPG.CD | Principal arrears, official creditors (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AXF.DPPG.CD.csv | 135 | 26 | 1202 |
DT.AMT.DLXF.CD | Principal arrears, private creditors (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.DLXF.CD.csv | 135 | 41 | 1203 |
DT.AMT.DLTF.CD | Principal forgiven (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.DLTF.CD.csv | 135 | 40 | 1204 |
DT.AMT.DPNG.CD | Principal repayments on external debt, long-term (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.DPNG.CD.csv | 135 | 41 | 1205 |
DT.AMT.DPPG.CD | Principal repayments on external debt, long-term + IMF (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AMT.DPPG.CD.csv | 135 | 40 | 1206 |
DT.AXR.DPPG.CD | Principal repayments on external debt, private nonguaranteed (PNG) (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AXR.DPPG.CD.csv | 135 | 26 | 1207 |
DT.AXR.OFFT.CD | Principal repayments on external debt, public and publicly guaranteed (PPG) (AMT, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AXR.OFFT.CD.csv | 135 | 26 | 1208 |
DT.AXR.PRVT.CD | Principal rescheduled (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.AXR.PRVT.CD.csv | 135 | 26 | 1209 |
IC.CRD.PRVT.ZS | Principal rescheduled, official (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.CRD.PRVT.ZS.csv | 235 | 12 | 1210 |
IC.WRH.PROC | Principal rescheduled, private (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.WRH.PROC.csv | 232 | 11 | 1211 |
IC.PRP.PROC | Private credit bureau coverage (% of adults) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.PRP.PROC.csv | 231 | 12 | 1212 |
IC.TAX.PRFT.CP.ZS | Procedures to build a warehouse (number) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.TAX.PRFT.CP.ZS.csv | 223 | 3 | 1213 |
SE.SEC.PROG.ZS | Procedures to register property (number) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.PROG.ZS.csv | 229 | 20 | 1214 |
SE.SEC.PROG.FE.ZS | Profit tax (% of commercial profits) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.PROG.FE.ZS.csv | 227 | 17 | 1215 |
SE.SEC.PROG.MA.ZS | Progression to secondary school (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.PROG.MA.ZS.csv | 227 | 17 | 1216 |
SG.GEN.PARL.ZS | Progression to secondary school, female (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.GEN.PARL.ZS.csv | 239 | 19 | 1217 |
SG.VAW.1549.ZS | Progression to secondary school, male (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.VAW.1549.ZS.csv | 82 | 1 | 1218 |
DT.TDS.DPPG.XP.ZS | Proportion of seats held by women in national parliaments (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.DPPG.XP.ZS.csv | 153 | 31 | 1219 |
DT.TDS.DPPG.GN.ZS | Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of women age 15-49) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.DPPG.GN.ZS.csv | 157 | 37 | 1220 |
IC.CRD.PUBL.ZS | Public and publicly guaranteed debt service (% of exports of goods, services and primary income) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.CRD.PUBL.ZS.csv | 235 | 12 | 1221 |
EP.PMP.DESL.CD | Public and publicly guaranteed debt service (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/EP.PMP.DESL.CD.csv | 224 | 9 | 1222 |
EP.PMP.SGAS.CD | Public credit registry coverage (% of adults) | https://data.cmucreatelab.org/earthtime/WorldBank/EP.PMP.SGAS.CD.csv | 226 | 9 | 1223 |
SE.SEC.ENRL.LO.TC.ZS | Pump price for diesel fuel (US$ per liter) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.ENRL.LO.TC.ZS.csv | 223 | 11 | 1224 |
SE.PRE.ENRL.TC.ZS | Pump price for gasoline (US$ per liter) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRE.ENRL.TC.ZS.csv | 242 | 24 | 1225 |
SE.PRM.ENRL.TC.ZS | Pupil-teacher ratio, lower secondary | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.ENRL.TC.ZS.csv | 247 | 30 | 1226 |
SE.SEC.ENRL.TC.ZS | Pupil-teacher ratio, preprimary | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.ENRL.TC.ZS.csv | 244 | 24 | 1227 |
SE.TER.ENRL.TC.ZS | Pupil-teacher ratio, primary | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.ENRL.TC.ZS.csv | 193 | 18 | 1228 |
SE.SEC.ENRL.UP.TC.ZS | Pupil-teacher ratio, secondary | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.ENRL.UP.TC.ZS.csv | 220 | 11 | 1229 |
IQ.WEF.PORT.XQ | Pupil-teacher ratio, tertiary | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.WEF.PORT.XQ.csv | 195 | 9 | 1230 |
IS.RRS.TOTL.KM | Pupil-teacher ratio, upper secondary | https://data.cmucreatelab.org/earthtime/WorldBank/IS.RRS.TOTL.KM.csv | 156 | 27 | 1231 |
IS.RRS.GOOD.MT.K6 | Quality of port infrastructure, WEF (1=extremely underdeveloped to 7=well developed and efficient by international standards) | https://data.cmucreatelab.org/earthtime/WorldBank/IS.RRS.GOOD.MT.K6.csv | 141 | 26 | 1232 |
IS.RRS.PASG.KM | Rail lines (total route-km) | https://data.cmucreatelab.org/earthtime/WorldBank/IS.RRS.PASG.KM.csv | 137 | 25 | 1233 |
SL.TLF.CACT.FM.ZS | Railways, goods transported (million ton-km) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.CACT.FM.ZS.csv | 231 | 27 | 1234 |
SL.TLF.CACT.FM.NE.ZS | Railways, passengers carried (million passenger-km) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.TLF.CACT.FM.NE.ZS.csv | 234 | 16 | 1235 |
PX.REX.REER | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/PX.REX.REER.csv | 94 | 37 | 1236 |
FR.INR.RINR | Ratio of female to male labor force participation rate (%) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/FR.INR.RINR.csv | 176 | 27 | 1237 |
SM.POP.REFG | Real effective exchange rate index (2010 = 100) | https://data.cmucreatelab.org/earthtime/WorldBank/SM.POP.REFG.csv | 239 | 21 | 1238 |
SM.POP.REFG.OR | Real interest rate (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SM.POP.REFG.OR.csv | 252 | 23 | 1239 |
EG.ELC.RNEW.ZS | Refugee population by country or territory of asylum | https://data.cmucreatelab.org/earthtime/WorldBank/EG.ELC.RNEW.ZS.csv | 259 | 24 | 1240 |
EG.FEC.RNEW.ZS | Refugee population by country or territory of origin | https://data.cmucreatelab.org/earthtime/WorldBank/EG.FEC.RNEW.ZS.csv | 254 | 24 | 1241 |
ER.H2O.INTR.PC | Renewable electricity output (% of total electricity output) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.H2O.INTR.PC.csv | 230 | 11 | 1242 |
ER.H2O.INTR.K3 | Renewable energy consumption (% of total final energy consumption) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.H2O.INTR.K3.csv | 229 | 11 | 1243 |
SE.PRM.REPT.FE.ZS | Renewable internal freshwater resources per capita (cubic meters) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.REPT.FE.ZS.csv | 239 | 24 | 1244 |
SE.PRM.REPT.MA.ZS | Renewable internal freshwater resources, total (billion cubic meters) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.REPT.MA.ZS.csv | 239 | 24 | 1245 |
SE.PRM.REPT.ZS | Repeaters, primary, female (% of female enrollment) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.REPT.ZS.csv | 239 | 27 | 1246 |
GB.XPD.RSDV.GD.ZS | Repeaters, primary, male (% of male enrollment) | https://data.cmucreatelab.org/earthtime/WorldBank/GB.XPD.RSDV.GD.ZS.csv | 169 | 11 | 1247 |
SP.POP.SCIE.RD.P6 | Repeaters, primary, total (% of total enrollment) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.SCIE.RD.P6.csv | 153 | 9 | 1248 |
BN.RES.INCL.CD | Research and development expenditure (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/BN.RES.INCL.CD.csv | 188 | 31 | 1249 |
DT.DOD.RSDL.CD | Researchers in R&D (per million people) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.RSDL.CD.csv | 135 | 26 | 1250 |
GC.REV.XGRT.GD.ZS | Reserves and related items (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.REV.XGRT.GD.ZS.csv | 202 | 22 | 1251 |
GC.REV.XGRT.CN | Residual, debt stock-flow reconciliation (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.REV.XGRT.CN.csv | 160 | 23 | 1252 |
SH.SGR.CRSK.ZS | Revenue, excluding grants (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.SGR.CRSK.ZS.csv | 232 | 1 | 1253 |
SH.SGR.IRSK.ZS | Revenue, excluding grants (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.SGR.IRSK.ZS.csv | 232 | 1 | 1254 |
FR.INR.RISK | Risk of catastrophic expenditure for surgical care (% of people at risk) | https://data.cmucreatelab.org/earthtime/WorldBank/FR.INR.RISK.csv | 104 | 25 | 1255 |
AG.LND.TOTL.RU.K2 | Risk of impoverishing expenditure for surgical care (% of people at risk) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.TOTL.RU.K2.csv | 225 | 3 | 1256 |
AG.LND.EL5M.RU.ZS | Risk premium on lending (lending rate minus treasury bill rate, %) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.EL5M.RU.ZS.csv | 223 | 3 | 1257 |
AG.LND.EL5M.RU.K2 | Rural land area (sq. km) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.EL5M.RU.K2.csv | 225 | 3 | 1258 |
SP.RUR.TOTL | Rural land area where elevation is below 5 meters (% of total land area) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.RUR.TOTL.csv | 261 | 55 | 1259 |
SP.RUR.TOTL.ZS | Rural land area where elevation is below 5 meters (sq. km) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.RUR.TOTL.ZS.csv | 261 | 55 | 1260 |
SP.RUR.TOTL.ZG | Rural population | https://data.cmucreatelab.org/earthtime/WorldBank/SP.RUR.TOTL.ZG.csv | 254 | 55 | 1261 |
EN.POP.EL5M.RU.ZS | Rural population (% of total population) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.POP.EL5M.RU.ZS.csv | 225 | 3 | 1262 |
SI.POV.RUGP | Rural population growth (annual %) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.POV.RUGP.csv | 80 | 3 | 1263 |
SI.POV.RUHC | Rural population living in areas where elevation is below 5 meters (% of total population) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.POV.RUHC.csv | 101 | 4 | 1264 |
CM.MKT.INDX.ZG | Rural poverty gap at national poverty lines (%) | https://data.cmucreatelab.org/earthtime/WorldBank/CM.MKT.INDX.ZG.csv | 84 | 20 | 1265 |
SE.PRE.ENRR | Rural poverty headcount ratio at national poverty lines (% of rural population) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRE.ENRR.csv | 244 | 29 | 1266 |
SE.PRE.ENRR.FE | S&P Global Equity Indices (annual % change) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRE.ENRR.FE.csv | 240 | 26 | 1267 |
SE.PRE.ENRR.MA | School enrollment, preprimary (% gross) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRE.ENRR.MA.csv | 240 | 26 | 1268 |
SE.PRM.ENRR | School enrollment, preprimary, female (% gross) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.ENRR.csv | 244 | 36 | 1269 |
SE.PRM.NENR | School enrollment, preprimary, male (% gross) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.NENR.csv | 238 | 24 | 1270 |
SE.ENR.PRIM.FM.ZS | School enrollment, primary (% gross) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.ENR.PRIM.FM.ZS.csv | 243 | 35 | 1271 |
SE.ENR.PRSC.FM.ZS | School enrollment, primary (% net) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.ENR.PRSC.FM.ZS.csv | 241 | 29 | 1272 |
SE.PRM.ENRR.FE | School enrollment, primary (gross), gender parity index (GPI) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.ENRR.FE.csv | 243 | 35 | 1273 |
SE.PRM.NENR.FE | School enrollment, primary and secondary (gross), gender parity index (GPI) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.NENR.FE.csv | 236 | 19 | 1274 |
SE.PRM.ENRR.MA | School enrollment, primary, female (% gross) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.ENRR.MA.csv | 243 | 35 | 1275 |
SE.PRM.NENR.MA | School enrollment, primary, female (% net) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.NENR.MA.csv | 236 | 19 | 1276 |
SE.PRM.PRIV.ZS | School enrollment, primary, male (% gross) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.PRIV.ZS.csv | 246 | 27 | 1277 |
SE.SEC.ENRR | School enrollment, primary, male (% net) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.ENRR.csv | 244 | 32 | 1278 |
SE.SEC.NENR | School enrollment, primary, private (% of total primary) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.NENR.csv | 221 | 16 | 1279 |
SE.ENR.SECO.FM.ZS | School enrollment, secondary (% gross) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.ENR.SECO.FM.ZS.csv | 242 | 30 | 1280 |
SE.SEC.ENRR.FE | School enrollment, secondary (% net) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.ENRR.FE.csv | 242 | 30 | 1281 |
SE.SEC.NENR.FE | School enrollment, secondary (gross), gender parity index (GPI) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.NENR.FE.csv | 218 | 15 | 1282 |
SE.SEC.ENRR.MA | School enrollment, secondary, female (% gross) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.ENRR.MA.csv | 242 | 30 | 1283 |
SE.SEC.NENR.MA | School enrollment, secondary, female (% net) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.NENR.MA.csv | 218 | 15 | 1284 |
SE.SEC.PRIV.ZS | School enrollment, secondary, male (% gross) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.PRIV.ZS.csv | 236 | 11 | 1285 |
SE.TER.ENRR | School enrollment, secondary, male (% net) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.ENRR.csv | 240 | 30 | 1286 |
SE.ENR.TERT.FM.ZS | School enrollment, secondary, private (% of total secondary) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.ENR.TERT.FM.ZS.csv | 237 | 27 | 1287 |
SE.TER.ENRR.FE | School enrollment, tertiary (% gross) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.ENRR.FE.csv | 237 | 27 | 1288 |
SE.TER.ENRR.MA | School enrollment, tertiary (gross), gender parity index (GPI) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.ENRR.MA.csv | 237 | 27 | 1289 |
IP.JRN.ARTC.SC | School enrollment, tertiary, female (% gross) | https://data.cmucreatelab.org/earthtime/WorldBank/IP.JRN.ARTC.SC.csv | 240 | 27 | 1290 |
SE.SEC.DURS | School enrollment, tertiary, male (% gross) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.DURS.csv | 250 | 46 | 1291 |
SE.SEC.ENRL.GC | Scientific and technical journal articles | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.ENRL.GC.csv | 257 | 34 | 1292 |
SE.SEC.ENRL.GC.FE.ZS | Secondary education, duration (years) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.ENRL.GC.FE.ZS.csv | 251 | 33 | 1293 |
SE.SEC.ENRL | Secondary education, general pupils | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.ENRL.csv | 257 | 32 | 1294 |
SE.SEC.ENRL.FE.ZS | Secondary education, general pupils (% female) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.ENRL.FE.ZS.csv | 250 | 30 | 1295 |
SE.SEC.TCHR | Secondary education, pupils | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.TCHR.csv | 250 | 24 | 1296 |
SE.SEC.TCHR.FE.ZS | Secondary education, pupils (% female) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.TCHR.FE.ZS.csv | 244 | 20 | 1297 |
SE.SEC.TCHR.FE | Secondary education, teachers | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.TCHR.FE.csv | 249 | 20 | 1298 |
SE.SEC.ENRL.VO | Secondary education, teachers (% female) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.ENRL.VO.csv | 255 | 31 | 1299 |
SE.SEC.ENRL.VO.FE.ZS | Secondary education, teachers, female | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.ENRL.VO.FE.ZS.csv | 245 | 28 | 1300 |
BX.TRF.CURR.CD | Secondary education, vocational pupils | https://data.cmucreatelab.org/earthtime/WorldBank/BX.TRF.CURR.CD.csv | 239 | 29 | 1301 |
BM.TRF.PRVT.CD | Secondary education, vocational pupils (% female) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.TRF.PRVT.CD.csv | 238 | 26 | 1302 |
IT.NET.SECR | Secondary income receipts (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IT.NET.SECR.csv | 260 | 13 | 1303 |
IT.NET.SECR.P6 | Secondary income, other sectors, payments (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IT.NET.SECR.P6.csv | 260 | 13 | 1304 |
SL.EMP.SELF.FE.ZS | Secure Internet servers | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.SELF.FE.ZS.csv | 57 | 21 | 1305 |
SL.EMP.SELF.MA.ZS | Secure Internet servers (per 1 million people) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.SELF.MA.ZS.csv | 57 | 21 | 1306 |
SL.EMP.SELF.ZS | Self-employed, female (% of female employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.SELF.ZS.csv | 59 | 21 | 1307 |
BX.GSR.NFSV.CD | Self-employed, male (% of male employment) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GSR.NFSV.CD.csv | 236 | 31 | 1308 |
BM.GSR.NFSV.CD | Self-employed, total (% of total employment) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.GSR.NFSV.CD.csv | 238 | 31 | 1309 |
NV.SRV.TETC.ZS | Service exports (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.SRV.TETC.ZS.csv | 237 | 34 | 1310 |
NV.SRV.TETC.KD.ZG | Service imports (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.SRV.TETC.KD.ZG.csv | 232 | 33 | 1311 |
NV.SRV.TETC.KD | Services, etc., value added (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.SRV.TETC.KD.csv | 231 | 33 | 1312 |
NV.SRV.TETC.KN | Services, etc., value added (annual % growth) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.SRV.TETC.KN.csv | 186 | 34 | 1313 |
NV.SRV.TETC.CN | Services, etc., value added (constant 2010 US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.SRV.TETC.CN.csv | 195 | 36 | 1314 |
NV.SRV.TETC.CD | Services, etc., value added (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.SRV.TETC.CD.csv | 240 | 36 | 1315 |
EN.ATM.SF6G.KT.CE | Services, etc., value added (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.SF6G.KT.CE.csv | 168 | 4 | 1316 |
TM.TAX.MRCH.IP.ZS | Services, etc., value added (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MRCH.IP.ZS.csv | 200 | 16 | 1317 |
TM.TAX.MANF.IP.ZS | SF6 gas emissions (thousand metric tons of CO2 equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MANF.IP.ZS.csv | 200 | 16 | 1318 |
TM.TAX.TCOM.IP.ZS | Share of tariff lines with international peaks, all products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.TCOM.IP.ZS.csv | 200 | 16 | 1319 |
TM.TAX.MRCH.SR.ZS | Share of tariff lines with international peaks, manufactured products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MRCH.SR.ZS.csv | 200 | 16 | 1320 |
TM.TAX.MANF.SR.ZS | Share of tariff lines with international peaks, primary products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MANF.SR.ZS.csv | 200 | 16 | 1321 |
TM.TAX.TCOM.SR.ZS | Share of tariff lines with specific rates, all products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.TCOM.SR.ZS.csv | 200 | 16 | 1322 |
SL.EMP.INSV.FE.ZS | Share of tariff lines with specific rates, manufactured products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.INSV.FE.ZS.csv | 239 | 12 | 1323 |
SL.UEM.NEET.FE.ZS | Share of tariff lines with specific rates, primary products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.NEET.FE.ZS.csv | 117 | 6 | 1324 |
SL.UEM.NEET.MA.ZS | Share of women in wage employment in the nonagricultural sector (% of total nonagricultural employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.NEET.MA.ZS.csv | 117 | 6 | 1325 |
SL.UEM.NEET.ZS | Share of youth not in education, employment or training, female (% of female youth population) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.NEET.ZS.csv | 119 | 6 | 1326 |
DT.DOD.DSTC.XP.ZS | Share of youth not in education, employment or training, male (% of male youth population) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.DSTC.XP.ZS.csv | 152 | 32 | 1327 |
DT.DOD.DSTC.ZS | Share of youth not in education, employment or training, total (% of youth population) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.DSTC.ZS.csv | 135 | 40 | 1328 |
DT.DOD.DSTC.IR.ZS | Short-term debt (% of exports of goods, services and primary income) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.DSTC.IR.ZS.csv | 152 | 37 | 1329 |
SH.PRV.SMOK.FE | Short-term debt (% of total external debt) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.PRV.SMOK.FE.csv | 162 | 5 | 1330 |
SH.PRV.SMOK.MA | Short-term debt (% of total reserves) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.PRV.SMOK.MA.csv | 160 | 4 | 1331 |
GC.REV.SOCL.ZS | Smoking prevalence, females (% of adults) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.REV.SOCL.ZS.csv | 135 | 22 | 1332 |
GC.REV.SOCL.CN | Smoking prevalence, males (% of adults) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.REV.SOCL.CN.csv | 114 | 22 | 1333 |
IQ.SCI.SRCE | Social contributions (% of revenue) | https://data.cmucreatelab.org/earthtime/WorldBank/IQ.SCI.SRCE.csv | 177 | 12 | 1334 |
SH.MED.SAOP.P5 | Social contributions (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.MED.SAOP.P5.csv | 219 | 1 | 1335 |
IC.REG.PROC | Source data assessment of statistical capacity (scale 0 - 100) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.REG.PROC.csv | 235 | 13 | 1336 |
IC.REG.PROC.FE | Specialist surgical workforce (per 100,000 population) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.REG.PROC.FE.csv | 235 | 13 | 1337 |
IC.REG.PROC.MA | Start-up procedures to register a business (number) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.REG.PROC.MA.csv | 235 | 13 | 1338 |
CM.MKT.TRAD.GD.ZS | Start-up procedures to register a business, female (number) | https://data.cmucreatelab.org/earthtime/WorldBank/CM.MKT.TRAD.GD.ZS.csv | 152 | 22 | 1339 |
CM.MKT.TRAD.CD | Start-up procedures to register a business, male (number) | https://data.cmucreatelab.org/earthtime/WorldBank/CM.MKT.TRAD.CD.csv | 157 | 22 | 1340 |
CM.MKT.TRNR | Stocks traded, total value (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/CM.MKT.TRNR.csv | 156 | 22 | 1341 |
IC.LGL.CRED.XQ | Stocks traded, total value (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.LGL.CRED.XQ.csv | 235 | 3 | 1342 |
GC.XPN.TRFT.ZS | Stocks traded, turnover ratio of domestic shares (%) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.TRFT.ZS.csv | 199 | 17 | 1343 |
GC.XPN.TRFT.CN | Strength of legal rights index (0=weak to 12=strong) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.XPN.TRFT.CN.csv | 155 | 18 | 1344 |
SH.STA.SUIC.P5 | Subsidies and other transfers (% of expense) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.STA.SUIC.P5.csv | 231 | 4 | 1345 |
AG.SRF.TOTL.K2 | Subsidies and other transfers (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.SRF.TOTL.K2.csv | 263 | 54 | 1346 |
SI.SPR.PC40 | Suicide mortality rate (per 100,000 population) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.SPR.PC40.csv | 80 | 2 | 1347 |
SI.SPR.PCAP | Surface area (sq. km) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.SPR.PCAP.csv | 80 | 2 | 1348 |
SP.DYN.TO65.FE.ZS | Survey mean consumption or income per capita, bottom 40% of population (2011 PPP $ per day) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.TO65.FE.ZS.csv | 240 | 56 | 1349 |
SP.DYN.TO65.MA.ZS | Survey mean consumption or income per capita, total population (2011 PPP $ per day) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.TO65.MA.ZS.csv | 240 | 56 | 1350 |
TM.TAX.MRCH.SM.AR.ZS | Survival to age 65, female (% of cohort) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MRCH.SM.AR.ZS.csv | 200 | 16 | 1351 |
TM.TAX.MANF.SM.AR.ZS | Survival to age 65, male (% of cohort) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MANF.SM.AR.ZS.csv | 200 | 16 | 1352 |
TM.TAX.TCOM.SM.AR.ZS | Tariff rate, applied, simple mean, all products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.TCOM.SM.AR.ZS.csv | 200 | 16 | 1353 |
TM.TAX.MRCH.WM.AR.ZS | Tariff rate, applied, simple mean, manufactured products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MRCH.WM.AR.ZS.csv | 200 | 16 | 1354 |
TM.TAX.MANF.WM.AR.ZS | Tariff rate, applied, simple mean, primary products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MANF.WM.AR.ZS.csv | 200 | 16 | 1355 |
TM.TAX.TCOM.WM.AR.ZS | Tariff rate, applied, weighted mean, all products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.TCOM.WM.AR.ZS.csv | 200 | 16 | 1356 |
TM.TAX.MRCH.SM.FN.ZS | Tariff rate, applied, weighted mean, manufactured products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MRCH.SM.FN.ZS.csv | 200 | 16 | 1357 |
TM.TAX.MANF.SM.FN.ZS | Tariff rate, applied, weighted mean, primary products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MANF.SM.FN.ZS.csv | 200 | 16 | 1358 |
TM.TAX.TCOM.SM.FN.ZS | Tariff rate, most favored nation, simple mean, all products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.TCOM.SM.FN.ZS.csv | 200 | 16 | 1359 |
TM.TAX.MRCH.WM.FN.ZS | Tariff rate, most favored nation, simple mean, manufactured products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MRCH.WM.FN.ZS.csv | 200 | 16 | 1360 |
TM.TAX.MANF.WM.FN.ZS | Tariff rate, most favored nation, simple mean, primary products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.MANF.WM.FN.ZS.csv | 200 | 16 | 1361 |
TM.TAX.TCOM.WM.FN.ZS | Tariff rate, most favored nation, weighted mean, all products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.TAX.TCOM.WM.FN.ZS.csv | 200 | 16 | 1362 |
IC.TAX.PAYM | Tariff rate, most favored nation, weighted mean, manufactured products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.TAX.PAYM.csv | 234 | 11 | 1363 |
GC.TAX.TOTL.GD.ZS | Tariff rate, most favored nation, weighted mean, primary products (%) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.TOTL.GD.ZS.csv | 202 | 22 | 1364 |
GC.TAX.TOTL.CN | Tax payments (number) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.TOTL.CN.csv | 160 | 23 | 1365 |
GC.TAX.EXPT.ZS | Tax revenue (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.EXPT.ZS.csv | 94 | 11 | 1366 |
GC.TAX.EXPT.CN | Tax revenue (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.EXPT.CN.csv | 95 | 11 | 1367 |
GC.TAX.GSRV.RV.ZS | Taxes on exports (% of tax revenue) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.GSRV.RV.ZS.csv | 201 | 21 | 1368 |
GC.TAX.GSRV.VA.ZS | Taxes on exports (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.GSRV.VA.ZS.csv | 155 | 20 | 1369 |
GC.TAX.GSRV.CN | Taxes on goods and services (% of revenue) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.GSRV.CN.csv | 159 | 22 | 1370 |
GC.TAX.YPKG.RV.ZS | Taxes on goods and services (% value added of industry and services) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.YPKG.RV.ZS.csv | 199 | 22 | 1371 |
GC.TAX.YPKG.ZS | Taxes on goods and services (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.YPKG.ZS.csv | 156 | 23 | 1372 |
GC.TAX.YPKG.CN | Taxes on income, profits and capital gains (% of revenue) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.YPKG.CN.csv | 157 | 23 | 1373 |
GC.TAX.INTT.RV.ZS | Taxes on income, profits and capital gains (% of total taxes) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.INTT.RV.ZS.csv | 200 | 20 | 1374 |
GC.TAX.INTT.CN | Taxes on income, profits and capital gains (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/GC.TAX.INTT.CN.csv | 158 | 21 | 1375 |
BX.GRT.TECH.CD.WD | Taxes on international trade (% of revenue) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GRT.TECH.CD.WD.csv | 180 | 44 | 1376 |
SP.POP.TECH.RD.P6 | Taxes on international trade (current LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.POP.TECH.RD.P6.csv | 120 | 8 | 1377 |
SP.MTR.1519.ZS | Technical cooperation grants (BoP, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.MTR.1519.ZS.csv | 93 | 3 | 1378 |
NY.TTF.GNFS.KN | Technicians in R&D (per million people) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.TTF.GNFS.KN.csv | 175 | 35 | 1379 |
ER.PTD.TOTL.ZS | Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.PTD.TOTL.ZS.csv | 255 | 3 | 1380 |
ER.LND.PTLD.ZS | Terms of trade adjustment (constant LCU) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.LND.PTLD.ZS.csv | 255 | 3 | 1381 |
SE.TER.TCHR.FE.ZS | Terrestrial and marine protected areas (% of total territorial area) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.TER.TCHR.FE.ZS.csv | 231 | 18 | 1382 |
NV.MNF.TXTL.ZS.UN | Terrestrial protected areas (% of total land area) | https://data.cmucreatelab.org/earthtime/WorldBank/NV.MNF.TXTL.ZS.UN.csv | 147 | 28 | 1383 |
IC.WRH.DURS | Tertiary education, academic staff (% female) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.WRH.DURS.csv | 232 | 11 | 1384 |
IC.LGL.DURS | Textiles and clothing (% of value added in manufacturing) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.LGL.DURS.csv | 235 | 13 | 1385 |
IC.ELC.TIME | Time required to build a warehouse (days) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.ELC.TIME.csv | 234 | 7 | 1386 |
IC.FRM.DURS | Time required to enforce a contract (days) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.DURS.csv | 183 | 1 | 1387 |
IC.PRP.DURS | Time required to get electricity (days) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.PRP.DURS.csv | 231 | 12 | 1388 |
IC.REG.DURS | Time required to obtain an operating license (days) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.REG.DURS.csv | 235 | 13 | 1389 |
IC.REG.DURS.FE | Time required to register property (days) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.REG.DURS.FE.csv | 235 | 13 | 1390 |
IC.REG.DURS.MA | Time required to start a business (days) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.REG.DURS.MA.csv | 235 | 13 | 1391 |
IC.GOV.DURS.ZS | Time required to start a business, female (days) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.GOV.DURS.ZS.csv | 192 | 1 | 1392 |
IC.EXP.DURS | Time required to start a business, male (days) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.EXP.DURS.csv | 234 | 9 | 1393 |
IC.EXP.TMBC | Time spent dealing with the requirements of government regulations (% of senior management time) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.EXP.TMBC.csv | 233 | 2 | 1394 |
IC.EXP.TMDC | Time to export (days) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.EXP.TMDC.csv | 233 | 2 | 1395 |
IC.IMP.DURS | Time to export, border compliance (hours) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.IMP.DURS.csv | 234 | 9 | 1396 |
IC.IMP.TMBC | Time to export, documentary compliance (hours) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.IMP.TMBC.csv | 233 | 2 | 1397 |
IC.IMP.TMDC | Time to import (days) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.IMP.TMDC.csv | 233 | 2 | 1398 |
IC.TAX.DURS | Time to import, border compliance (hours) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.TAX.DURS.csv | 234 | 11 | 1399 |
IC.ISV.DURS | Time to import, documentary compliance (hours) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.ISV.DURS.csv | 213 | 3 | 1400 |
SH.ALC.PCAP.LI | Time to prepare and pay taxes (hours) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.ALC.PCAP.LI.csv | 231 | 1 | 1401 |
DT.TXR.DPPG.CD | Time to resolve insolvency (years) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TXR.DPPG.CD.csv | 135 | 26 | 1402 |
DT.DOD.DECT.CD.CG | Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.DECT.CD.CG.csv | 135 | 26 | 1403 |
DT.TDS.DECT.EX.ZS | Total amount of debt rescheduled (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.DECT.EX.ZS.csv | 134 | 32 | 1404 |
DT.TDS.DECT.GN.ZS | Total change in external debt stocks (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.TDS.DECT.GN.ZS.csv | 156 | 37 | 1405 |
ER.FSH.PROD.MT | Total debt service (% of exports of goods, services and primary income) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.FSH.PROD.MT.csv | 258 | 51 | 1406 |
EN.ATM.GHGT.ZG | Total debt service (% of GNI) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.GHGT.ZG.csv | 235 | 21 | 1407 |
EN.ATM.GHGT.KT.CE | Total fisheries production (metric tons) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.ATM.GHGT.KT.CE.csv | 245 | 40 | 1408 |
NY.GDP.TOTL.RT.ZS | Total greenhouse gas emissions (% change from 1990) | https://data.cmucreatelab.org/earthtime/WorldBank/NY.GDP.TOTL.RT.ZS.csv | 255 | 39 | 1409 |
FI.RES.TOTL.DT.ZS | Total greenhouse gas emissions (kt of CO2 equivalent) | https://data.cmucreatelab.org/earthtime/WorldBank/FI.RES.TOTL.DT.ZS.csv | 159 | 38 | 1410 |
FI.RES.TOTL.CD | Total natural resources rents (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/FI.RES.TOTL.CD.csv | 186 | 43 | 1411 |
FI.RES.TOTL.MO | Total reserves (% of total external debt) | https://data.cmucreatelab.org/earthtime/WorldBank/FI.RES.TOTL.MO.csv | 229 | 32 | 1412 |
FI.RES.XGLD.CD | Total reserves (includes gold, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/FI.RES.XGLD.CD.csv | 187 | 43 | 1413 |
IC.TAX.TOTL.CP.ZS | Total reserves in months of imports | https://data.cmucreatelab.org/earthtime/WorldBank/IC.TAX.TOTL.CP.ZS.csv | 234 | 11 | 1414 |
NE.TRD.GNFS.ZS | Total reserves minus gold (current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/NE.TRD.GNFS.ZS.csv | 244 | 42 | 1415 |
BG.GSR.NFSV.GD.ZS | Total tax rate (% of commercial profits) | https://data.cmucreatelab.org/earthtime/WorldBank/BG.GSR.NFSV.GD.ZS.csv | 235 | 31 | 1416 |
IP.TMK.NRES | Trade (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/IP.TMK.NRES.csv | 206 | 32 | 1417 |
IP.TMK.RESD | Trade in services (% of GDP) | https://data.cmucreatelab.org/earthtime/WorldBank/IP.TMK.RESD.csv | 205 | 30 | 1418 |
IP.TMK.NRCT | Trademark applications, direct nonresident | https://data.cmucreatelab.org/earthtime/WorldBank/IP.TMK.NRCT.csv | 179 | 10 | 1419 |
IP.TMK.RSCT | Trademark applications, direct resident | https://data.cmucreatelab.org/earthtime/WorldBank/IP.TMK.RSCT.csv | 173 | 8 | 1420 |
IP.TMK.TOTL | Trademark applications, nonresident, by count | https://data.cmucreatelab.org/earthtime/WorldBank/IP.TMK.TOTL.csv | 216 | 31 | 1421 |
SE.SEC.TCAQ.LO.ZS | Trademark applications, resident, by count | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.TCAQ.LO.ZS.csv | 113 | 5 | 1422 |
SE.SEC.TCAQ.LO.FE.ZS | Trademark applications, total | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.TCAQ.LO.FE.ZS.csv | 106 | 5 | 1423 |
SE.SEC.TCAQ.LO.MA.ZS | Trained teachers in lower secondary education (% of total teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.TCAQ.LO.MA.ZS.csv | 106 | 5 | 1424 |
SE.PRE.TCAQ.ZS | Trained teachers in lower secondary education, female (% of female teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRE.TCAQ.ZS.csv | 136 | 6 | 1425 |
SE.PRE.TCAQ.FE.ZS | Trained teachers in lower secondary education, male (% of male teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRE.TCAQ.FE.ZS.csv | 131 | 6 | 1426 |
SE.PRE.TCAQ.MA.ZS | Trained teachers in preprimary education (% of total teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRE.TCAQ.MA.ZS.csv | 115 | 5 | 1427 |
SE.PRM.TCAQ.ZS | Trained teachers in preprimary education, female (% of female teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.TCAQ.ZS.csv | 161 | 8 | 1428 |
SE.PRM.TCAQ.FE.ZS | Trained teachers in preprimary education, male (% of male teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.TCAQ.FE.ZS.csv | 148 | 8 | 1429 |
SE.PRM.TCAQ.MA.ZS | Trained teachers in primary education (% of total teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.PRM.TCAQ.MA.ZS.csv | 148 | 8 | 1430 |
SE.SEC.TCAQ.ZS | Trained teachers in primary education, female (% of female teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.TCAQ.ZS.csv | 134 | 6 | 1431 |
SE.SEC.TCAQ.FE.ZS | Trained teachers in primary education, male (% of male teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.TCAQ.FE.ZS.csv | 123 | 5 | 1432 |
SE.SEC.TCAQ.MA.ZS | Trained teachers in secondary education (% of total teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.TCAQ.MA.ZS.csv | 123 | 5 | 1433 |
SE.SEC.TCAQ.UP.ZS | Trained teachers in secondary education, female (% of female teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.TCAQ.UP.ZS.csv | 107 | 5 | 1434 |
SE.SEC.TCAQ.UP.FE.ZS | Trained teachers in secondary education, male (% of male teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.TCAQ.UP.FE.ZS.csv | 101 | 5 | 1435 |
SE.SEC.TCAQ.UP.MA.ZS | Trained teachers in upper secondary education (% of total teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/SE.SEC.TCAQ.UP.MA.ZS.csv | 101 | 5 | 1436 |
TX.VAL.TRAN.ZS.WT | Trained teachers in upper secondary education, female (% of female teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.TRAN.ZS.WT.csv | 236 | 30 | 1437 |
TM.VAL.TRAN.ZS.WT | Trained teachers in upper secondary education, male (% of male teachers) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.TRAN.ZS.WT.csv | 237 | 30 | 1438 |
BX.GSR.TRAN.ZS | Transport services (% of commercial service exports) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GSR.TRAN.ZS.csv | 236 | 30 | 1439 |
BM.GSR.TRAN.ZS | Transport services (% of commercial service imports) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.GSR.TRAN.ZS.csv | 237 | 30 | 1440 |
TX.VAL.TRVL.ZS.WT | Transport services (% of service exports, BoP) | https://data.cmucreatelab.org/earthtime/WorldBank/TX.VAL.TRVL.ZS.WT.csv | 235 | 30 | 1441 |
TM.VAL.TRVL.ZS.WT | Transport services (% of service imports, BoP) | https://data.cmucreatelab.org/earthtime/WorldBank/TM.VAL.TRVL.ZS.WT.csv | 236 | 30 | 1442 |
BX.GSR.TRVL.ZS | Travel services (% of commercial service exports) | https://data.cmucreatelab.org/earthtime/WorldBank/BX.GSR.TRVL.ZS.csv | 235 | 30 | 1443 |
BM.GSR.TRVL.ZS | Travel services (% of commercial service imports) | https://data.cmucreatelab.org/earthtime/WorldBank/BM.GSR.TRVL.ZS.csv | 236 | 30 | 1444 |
SH.TBS.DTEC.ZS | Travel services (% of service exports, BoP) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.TBS.DTEC.ZS.csv | 228 | 15 | 1445 |
SH.TBS.CURE.ZS | Travel services (% of service imports, BoP) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.TBS.CURE.ZS.csv | 225 | 13 | 1446 |
DT.UND.OFFT.CD | Tuberculosis case detection rate (%, all forms) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.UND.OFFT.CD.csv | 135 | 40 | 1447 |
DT.UND.PRVT.CD | Tuberculosis treatment success rate (% of new cases) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.UND.PRVT.CD.csv | 135 | 40 | 1448 |
DT.UND.DPPG.CD | Undisbursed external debt, official creditors (UND, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.UND.DPPG.CD.csv | 135 | 40 | 1449 |
SL.UEM.ADVN.ZS | Undisbursed external debt, private creditors (UND, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.ADVN.ZS.csv | 124 | 11 | 1450 |
SL.UEM.ADVN.FE.ZS | Undisbursed external debt, total (UND, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.ADVN.FE.ZS.csv | 122 | 11 | 1451 |
SL.UEM.ADVN.MA.ZS | Unemployment with advanced education (% of total labor force with advanced education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.ADVN.MA.ZS.csv | 122 | 11 | 1452 |
SL.UEM.BASC.ZS | Unemployment with advanced education, female (% of female labor force with advanced education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.BASC.ZS.csv | 124 | 11 | 1453 |
SL.UEM.BASC.FE.ZS | Unemployment with advanced education, male (% of male labor force with advanced education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.BASC.FE.ZS.csv | 117 | 11 | 1454 |
SL.UEM.BASC.MA.ZS | Unemployment with basic education (% of total labor force with basic education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.BASC.MA.ZS.csv | 117 | 11 | 1455 |
SL.UEM.INTM.ZS | Unemployment with basic education, female (% of female labor force with basic education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.INTM.ZS.csv | 120 | 11 | 1456 |
SL.UEM.INTM.FE.ZS | Unemployment with basic education, male (% of male labor force with basic education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.INTM.FE.ZS.csv | 116 | 10 | 1457 |
SL.UEM.INTM.MA.ZS | Unemployment with intermediate education (% of total labor force with intermediate education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.INTM.MA.ZS.csv | 116 | 10 | 1458 |
SL.UEM.TOTL.FE.ZS | Unemployment with intermediate education, female (% of female labor force with intermediate education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.TOTL.FE.ZS.csv | 232 | 26 | 1459 |
SL.UEM.TOTL.FE.NE.ZS | Unemployment with intermediate education, male (% of male labor force with intermediate education) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.TOTL.FE.NE.ZS.csv | 223 | 17 | 1460 |
SL.UEM.TOTL.MA.ZS | Unemployment, female (% of female labor force) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.TOTL.MA.ZS.csv | 232 | 26 | 1461 |
SL.UEM.TOTL.MA.NE.ZS | Unemployment, female (% of female labor force) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.TOTL.MA.NE.ZS.csv | 223 | 17 | 1462 |
SL.UEM.TOTL.ZS | Unemployment, male (% of male labor force) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.TOTL.ZS.csv | 232 | 26 | 1463 |
SL.UEM.TOTL.NE.ZS | Unemployment, male (% of male labor force) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.TOTL.NE.ZS.csv | 236 | 20 | 1464 |
SL.UEM.1524.FE.ZS | Unemployment, total (% of total labor force) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.1524.FE.ZS.csv | 232 | 26 | 1465 |
SL.UEM.1524.FE.NE.ZS | Unemployment, total (% of total labor force) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.1524.FE.NE.ZS.csv | 193 | 12 | 1466 |
SL.UEM.1524.MA.ZS | Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.1524.MA.ZS.csv | 232 | 26 | 1467 |
SL.UEM.1524.MA.NE.ZS | Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.1524.MA.NE.ZS.csv | 193 | 12 | 1468 |
SL.UEM.1524.ZS | Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.1524.ZS.csv | 232 | 26 | 1469 |
SL.UEM.1524.NE.ZS | Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.UEM.1524.NE.ZS.csv | 196 | 13 | 1470 |
SP.UWT.TFRT | Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.UWT.TFRT.csv | 174 | 2 | 1471 |
AG.LND.TOTL.UR.K2 | Unemployment, youth total (% of total labor force ages 15-24) (national estimate) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.TOTL.UR.K2.csv | 225 | 3 | 1472 |
AG.LND.EL5M.UR.ZS | Unmet need for contraception (% of married women ages 15-49) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.EL5M.UR.ZS.csv | 223 | 3 | 1473 |
AG.LND.EL5M.UR.K2 | Urban land area (sq. km) | https://data.cmucreatelab.org/earthtime/WorldBank/AG.LND.EL5M.UR.K2.csv | 225 | 3 | 1474 |
SP.URB.TOTL | Urban land area where elevation is below 5 meters (% of total land area) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.URB.TOTL.csv | 261 | 55 | 1475 |
SP.URB.TOTL.IN.ZS | Urban land area where elevation is below 5 meters (sq. km) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.URB.TOTL.IN.ZS.csv | 261 | 55 | 1476 |
SP.URB.GROW | Urban population | https://data.cmucreatelab.org/earthtime/WorldBank/SP.URB.GROW.csv | 261 | 55 | 1477 |
EN.POP.EL5M.UR.ZS | Urban population (% of total) | https://data.cmucreatelab.org/earthtime/WorldBank/EN.POP.EL5M.UR.ZS.csv | 225 | 3 | 1478 |
SI.POV.URGP | Urban population growth (annual %) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.POV.URGP.csv | 80 | 3 | 1479 |
SI.POV.URHC | Urban population living in areas where elevation is below 5 meters (% of total population) | https://data.cmucreatelab.org/earthtime/WorldBank/SI.POV.URHC.csv | 103 | 4 | 1480 |
DT.DOD.DIMF.CD | Urban poverty gap at national poverty lines (%) | https://data.cmucreatelab.org/earthtime/WorldBank/DT.DOD.DIMF.CD.csv | 135 | 41 | 1481 |
SH.MLR.NETS.ZS | Urban poverty headcount ratio at national poverty lines (% of urban population) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.MLR.NETS.ZS.csv | 71 | 3 | 1482 |
IC.FRM.OUTG.ZS | Use of IMF credit (DOD, current US$) | https://data.cmucreatelab.org/earthtime/WorldBank/IC.FRM.OUTG.ZS.csv | 185 | 1 | 1483 |
SN.ITK.VITA.ZS | Use of insecticide-treated bed nets (% of under-5 population) | https://data.cmucreatelab.org/earthtime/WorldBank/SN.ITK.VITA.ZS.csv | 104 | 11 | 1484 |
SL.EMP.VULN.FE.ZS | Value lost due to electrical outages (% of sales) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.VULN.FE.ZS.csv | 169 | 13 | 1485 |
SL.EMP.VULN.MA.ZS | Vitamin A supplementation coverage rate (% of children ages 6-59 months) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.VULN.MA.ZS.csv | 168 | 13 | 1486 |
SL.EMP.VULN.ZS | Vulnerable employment, female (% of female employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.VULN.ZS.csv | 172 | 13 | 1487 |
SL.EMP.WORK.FE.ZS | Vulnerable employment, male (% of male employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.WORK.FE.ZS.csv | 179 | 13 | 1488 |
SL.EMP.WORK.MA.ZS | Vulnerable employment, total (% of total employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.WORK.MA.ZS.csv | 179 | 13 | 1489 |
SL.EMP.WORK.ZS | Wage and salaried workers, female (% of female employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SL.EMP.WORK.ZS.csv | 191 | 13 | 1490 |
SP.DYN.WFRT | Wage and salaried workers, male (% of male employment) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.DYN.WFRT.csv | 102 | 2 | 1491 |
ER.GDP.FWTL.M3.KD | Wage and salaried workers, total (% of total employment) | https://data.cmucreatelab.org/earthtime/WorldBank/ER.GDP.FWTL.M3.KD.csv | 223 | 5 | 1492 |
FP.WPI.TOTL | Wanted fertility rate (births per woman) | https://data.cmucreatelab.org/earthtime/WorldBank/FP.WPI.TOTL.csv | 86 | 37 | 1493 |
SG.DMK.ALLD.FN.ZS | Water productivity, total (constant 2010 US$ GDP per cubic meter of total freshwater withdrawal) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.DMK.ALLD.FN.ZS.csv | 66 | 2 | 1494 |
SG.VAW.REAS.ZS | Wholesale price index (2010 = 100) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.VAW.REAS.ZS.csv | 102 | 1 | 1495 |
SG.VAW.ARGU.ZS | Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.VAW.ARGU.ZS.csv | 76 | 1 | 1496 |
SG.VAW.BURN.ZS | Women who believe a husband is justified in beating his wife (any of five reasons) (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.VAW.BURN.ZS.csv | 76 | 1 | 1497 |
SG.VAW.GOES.ZS | Women who believe a husband is justified in beating his wife when she argues with him (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.VAW.GOES.ZS.csv | 76 | 2 | 1498 |
SG.VAW.NEGL.ZS | Women who believe a husband is justified in beating his wife when she burns the food (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.VAW.NEGL.ZS.csv | 77 | 1 | 1499 |
SG.VAW.REFU.ZS | Women who believe a husband is justified in beating his wife when she goes out without telling him (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SG.VAW.REFU.ZS.csv | 76 | 1 | 1500 |
SP.M18.2024.FE.ZS | Women who believe a husband is justified in beating his wife when she neglects the children (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SP.M18.2024.FE.ZS.csv | 124 | 3 | 1501 |
SH.DYN.AIDS.FE.ZS | Women who believe a husband is justified in beating his wife when she refuses sex with him (%) | https://data.cmucreatelab.org/earthtime/WorldBank/SH.DYN.AIDS.FE.ZS.csv | 132 | 25 | 1502 |