World Bank Indicators

All World Bank Indicators datasets in the StackData catalog: statistical dataflows from World Bank, each queryable as a table in any language.

Used someone else's phone in past three months, in laborforce (% age 15+) con4.12
Used someone else's phone in past three months, men (% age 15+) con4.2
Used someone else's phone in past three months, older (% age 25+) con4.4
Used someone else's phone in past three months, out of laborforce (% age 15+) con4.11
Used someone else's phone in past three months, poorest 40% (% age 15+) con4.7
Used someone else's phone in past three months, primary education or less (% age 15+) con4.5
Used someone else's phone in past three months, richest 60% (% age 15+) con4.8
Used someone else's phone in past three months, rural (% age 15+) con4.9
Used someone else's phone in past three months, secondary education or more (% age 15+) con4.6
Used someone else's phone in past three months, urban (% age 15+) con4.10
Used someone else's phone in past three months, women (% age 15+) con4.1
Used someone else's phone in past three months, young (% ages 15-24) con4.3
Used the internet in the past three months, in laborforce (% age 15+) internet.12
Used the internet in the past three months, men (% age 15+) internet.2
Used the internet in the past three months, older (% age 25+) internet.4
Used the internet in the past three months, out of laborforce (% age 15+) internet.11
Used the internet in the past three months, poorest 40% (% age 15+) internet.7
Used the internet in the past three months, primary education or less (% age 15+) internet.5
Used the internet in the past three months, richest 60% (% age 15+) internet.8
Used the internet in the past three months, rural (% age 15+) internet.9
Used the internet in the past three months, secondary education or more (% age 15+) internet.6
Used the internet in the past three months, urban (% age 15+) internet.10
Used the internet in the past three months, women (% age 15+) internet.1
Used the internet in the past three months, young (% ages 15-24) internet.3
Utilities/Non Utilities Per Capita Consumption (KWh) IN.ENRGY.ELEC.PERCAP.CONSMPN
Vaccinations (all vaccinations) (% of children ages 12-23 months): Q1 (lowest) SH.IMM.ALLV.Q1.ZS
Vaccinations (all vaccinations) (% of children ages 12-23 months): Q2 SH.IMM.ALLV.Q2.ZS
Vaccinations (all vaccinations) (% of children ages 12-23 months): Q3 SH.IMM.ALLV.Q3.ZS
Vaccinations (all vaccinations) (% of children ages 12-23 months): Q4 SH.IMM.ALLV.Q4.ZS
Vaccinations (all vaccinations) (% of children ages 12-23 months): Q5 (highest) SH.IMM.ALLV.Q5.ZS
Vaccinations (BCG) (% of children ages 12-23 months): Q1 (lowest) SH.IMM.IBCG.Q1.ZS
Vaccinations (BCG) (% of children ages 12-23 months): Q2 SH.IMM.IBCG.Q2.ZS
Vaccinations (BCG) (% of children ages 12-23 months): Q3 SH.IMM.IBCG.Q3.ZS
Vaccinations (BCG) (% of children ages 12-23 months): Q4 SH.IMM.IBCG.Q4.ZS
Vaccinations (BCG) (% of children ages 12-23 months): Q5 (highest) SH.IMM.IBCG.Q5.ZS
Vaccinations (DPT 3) (% of children ages 12-23 months): Q1 (lowest) SH.IMM.IDPT.Q1.ZS
Vaccinations (DPT 3) (% of children ages 12-23 months): Q2 SH.IMM.IDPT.Q2.ZS
Vaccinations (DPT 3) (% of children ages 12-23 months): Q3 SH.IMM.IDPT.Q3.ZS
Vaccinations (DPT 3) (% of children ages 12-23 months): Q4 SH.IMM.IDPT.Q4.ZS
Vaccinations (DPT 3) (% of children ages 12-23 months): Q5 (highest) SH.IMM.IDPT.Q5.ZS
Vaccinations (Measles) (% of children ages 12-23 months): Q1 (lowest) SH.IMM.MEAS.Q1.ZS
Vaccinations (Measles) (% of children ages 12-23 months): Q2 SH.IMM.MEAS.Q2.ZS
Vaccinations (Measles) (% of children ages 12-23 months): Q3 SH.IMM.MEAS.Q3.ZS
Vaccinations (Measles) (% of children ages 12-23 months): Q4 SH.IMM.MEAS.Q4.ZS
Vaccinations (Measles) (% of children ages 12-23 months): Q5 (highest) SH.IMM.MEAS.Q5.ZS
Vaccinations (no vaccinations) (% of children ages 12-23 months): Q1 (lowest) SH.IMM.NONE.Q1.ZS
Vaccinations (no vaccinations) (% of children ages 12-23 months): Q2 SH.IMM.NONE.Q2.ZS
Vaccinations (no vaccinations) (% of children ages 12-23 months): Q3 SH.IMM.NONE.Q3.ZS
Vaccinations (no vaccinations) (% of children ages 12-23 months): Q4 SH.IMM.NONE.Q4.ZS
Vaccinations (no vaccinations) (% of children ages 12-23 months): Q5 (highest) SH.IMM.NONE.Q5.ZS
Value added, manufacturing growth rate (%) NV.IND.MANF.KN.ZG
Value added, mining and quarrying (constant 2000 US$) NV.IND.MINQ.KD
Value added, services and etc growth rate (%) NV.SRV.TETC.KN.ZG
Value for Money (VfM) law clause C2.7c
Value lost due to electrical outages (% of sales for affected firms) IC.FRM.OUTG.ZS
Value of annual contracts (in USD) C4.3b
Value of annual tenders (in USD) C4.2b
Value of awards to SMEs (in USD) C4.7b
Value of collateral needed for a loan (% of the loan amount) GFDD.AI.31
Value of collateral needed for a loan (% of the loan amount) IC.FRM.FIN.FIN10
Value of collateral needed for a loan (% of the loan amount) IC.VAL.COL.ZS
Value of contract awards evaluated based on Lowest Price method (in USD) C4.9d
Value of contract awards evaluated based on MEAT (in USD) C4.9b
Value of contract awards under framework agreements (in USD) C4.8b
Value of contracts awards of goods (in USD) C4.4b
Value of contracts awards of services (in USD) C4.4f
Value of contracts awards of works (in USD) C4.4d
Value of direct contract awards (in USD) C4.6d
Value of domestic contract awards (in USD) C4.5b
Value of gift expected to secure a government contract (% of contract value) IC.FRM.CORR.CORR3
Value of gift expected to secure Government Contract (% of Contract) IC.VALG.GIFT.ZS
Value of international contract awards (in USD) C4.5d
Value of open contract awards (in USD) C4.6b
Value traded excluding top 10 traded companies to total value traded (%) GFDD.AM.01
Value-added from Capital in GTAP10P3COD gtap10VACapital
Value-added from labor in GTAP10P3COD (in USD 2014 million) gtap10VALabor
Vehicles (per km of road) IS.VEH.ROAD.K1
Villages with road: Asphalt (in % of total villages) ROD.VILG.ASPH.ZS
Villages with road: Dirt (in % of total villages) ROD.VILG.DIRT.ZS
Villages with road: Gravel (in % of total villages) ROD.VILG.GRAVL.ZS
Villages with road: Other (in % of total villages) ROD.VILG.OTHR.ZS
Vitamin A supplementation coverage rate (% of children ages 6-59 months) SN.ITK.VITA.ZS
Vitamin A supplements for children (% of children ages 6-59 months): Q1 (lowest) SN.ITK.VITA.Q1.ZS
Vitamin A supplements for children (% of children ages 6-59 months): Q2 SN.ITK.VITA.Q2.ZS
Vitamin A supplements for children (% of children ages 6-59 months): Q3 SN.ITK.VITA.Q3.ZS
Vitamin A supplements for children (% of children ages 6-59 months): Q4 SN.ITK.VITA.Q4.ZS
Vitamin A supplements for children (% of children ages 6-59 months): Q5 (highest) SN.ITK.VITA.Q5.ZS
Vitamin A supplements for postpartum women (% of women with a birth): Q1 (lowest) SN.ITK.VAPP.Q1.ZS
Vitamin A supplements for postpartum women (% of women with a birth): Q2 SN.ITK.VAPP.Q2.ZS
Vitamin A supplements for postpartum women (% of women with a birth): Q3 SN.ITK.VAPP.Q3.ZS
Vitamin A supplements for postpartum women (% of women with a birth): Q4 SN.ITK.VAPP.Q4.ZS
Vitamin A supplements for postpartum women (% of women with a birth): Q5 (highest) SN.ITK.VAPP.Q5.ZS
Vocational and Technical enrolment (% of total secondary enrolment), female SE.SEC.ENRL.FE.VO.ZS
Voice and Accountability (estimate) GV.VOIC.AC.ES
Voice and Accountability (number of surveys/polls) GV.VOIC.AC.NO
Voice and Accountability (standard error) GV.VOIC.AC.SE
Voice and Accountability - Governance estimate (approx. -2.5 to +2.5) GOV_WGI_VA.EST
Voice and Accountability - Governance estimate (approx. -2.5 to +2.5) GOV_WGI_VA_EST
Voice and Accountability - Governance score (0-100) GOV_WGI_VA.SC
Voice and Accountability - Governance score (0-100) GOV_WGI_VA_SC
Voice and Accountability - Lower bound of the 90% confidence interval for the governance score GOV_WGI_VA.SC_LB
Voice and Accountability - Number of sources GOV_WGI_VA.SR
Voice and Accountability - Standard error of the governance estimate GOV_WGI_VA.SE
Voice and Accountability - Upper bound of the 90% confidence interval for the governance score GOV_WGI_VA.SC_UB
Voice and Accountability: Estimate VA.EST
Voice and Accountability: Number of Sources VA.NO.SRC
Voice and Accountability: Percentile Rank VA.PER.RNK
Voice and Accountability: Percentile Rank, Lower Bound of 90% Confidence Interval VA.PER.RNK.LOWER
Voice and Accountability: Percentile Rank, Upper Bound of 90% Confidence Interval VA.PER.RNK.UPPER
Voice and Accountability: Standard Error VA.STD.ERR
Volume of official development assistance flows for scholarships by sector and type of study, constant US$ UIS.ODAFLOW.VOLUMESCHOLARSHIP
Vulnerable ($4-10 a day) Headcount 1.0.HCount.Vul4to10
Vulnerable ($4-10 a day) Headcount-Rural 1.1.HCount.Vul4to10
Vulnerable ($4-10 a day) Headcount-Urban 1.2.HCount.Vul4to10
Vulnerable employment, female (% of female employment) (modeled ILO estimate) SL.EMP.VULN.FE.ZS
Vulnerable employment, male (% of male employment) (modeled ILO estimate) SL.EMP.VULN.MA.ZS
Vulnerable employment, total (% of total employment) (modeled ILO estimate) SL.EMP.VULN.ZS
Wage and salaried workers, female (% of female employment) (modeled ILO estimate) SL.EMP.WORK.FE.ZS
Wage and salaried workers, male (% of male employment) (modeled ILO estimate) SL.EMP.WORK.MA.ZS
Wage and salaried workers, total (% of total employment) (modeled ILO estimate) SL.EMP.WORK.ZS
Wage bill as a percentage of GDP BI.WAG.TOTL.GD.ZS
Wage bill as a percentage of Public Expenditure BI.WAG.TOTL.PB.ZS
Wage employment in agriculture, aged 15-24 (% of workers aged 15-24 in the agricultural sector) JI.AGR.WAGE.YG.ZS
Wage employment in agriculture, aged 15-64, above primary education (% of workers with high education in the agricultural sector) JI.AGR.WAGE.HE.ZS
Wage employment in agriculture, aged 15-64, female (% of female workers in the agricultural sector) JI.AGR.WAGE.FE.ZS
Wage employment in agriculture, aged 15-64, male (% of male workers in the agricultural sector) JI.AGR.WAGE.MA.ZS
Wage employment in agriculture, aged 15-64, primary education and below (% of workers with low education in the agricultural sector) JI.AGR.WAGE.LE.ZS
Wage employment in agriculture, aged 15-64, rural (% of rural workers in the agricultural sector) JI.AGR.WAGE.RU.ZS
Wage employment in agriculture, aged 15-64, total (% of total workers in the agricultural sector) JI.AGR.WAGE.ZS
Wage employment in agriculture, aged 15-64, urban (% of urban workers in the agricultural sector) JI.AGR.WAGE.UR.ZS
Wage employment in agriculture, aged 25-64 (% of workers aged 25-64 in the agricultural sector) JI.AGR.WAGE.OL.ZS
Wage employment in industry, aged 15-24 (% of workers aged 15-24 in the industrial sector) JI.IND.WAGE.YG.ZS
Wage employment in industry, aged 15-64, above primary education (% of workers with high education in the industrial sector) JI.IND.WAGE.HE.ZS
Wage employment in industry, aged 15-64, female (% of female workers in the industrial sector) JI.IND.WAGE.FE.ZS
Wage employment in industry, aged 15-64, male (% of male workers in the industrial sector) JI.IND.WAGE.MA.ZS
Wage employment in industry, aged 15-64, primary education and below (% of workers with low education in the industrial sector) JI.IND.WAGE.LE.ZS
Wage employment in industry, aged 15-64, rural (% of rural workers in the industrial sector) JI.IND.WAGE.RU.ZS
Wage employment in industry, aged 15-64, total (% of total workers in the industrial sector) JI.IND.WAGE.ZS
Wage employment in industry, aged 15-64, urban (% of urban workers in the industrial sector) JI.IND.WAGE.UR.ZS
Wage employment in industry, aged 25-64 (% of workers aged 25-64 in the industrial sector) JI.IND.WAGE.OL.ZS
Wage employment in services, aged 15-24 (% of workers aged 15-24 in the service sector) JI.SRV.WAGE.YG.ZS
Wage employment in services, aged 15-64, above primary education (% of workers with high education in the service sector) JI.SRV.WAGE.HE.ZS
Wage employment in services, aged 15-64, female (% of female workers in the service sector) JI.SRV.WAGE.FE.ZS
Wage employment in services, aged 15-64, male (% of male workers in the service sector) JI.SRV.WAGE.MA.ZS
Wage employment in services, aged 15-64, primary education and below (% of workers with low education in the service sector) JI.SRV.WAGE.LE.ZS
Wage employment in services, aged 15-64, rural (% of rural workers in the service sector) JI.SRV.WAGE.RU.ZS
Wage employment in services, aged 15-64, total (% of total workers in the service sector) JI.SRV.WAGE.ZS
Wage employment in services, aged 15-64, urban (% of urban workers in the service sector) JI.SRV.WAGE.UR.ZS
Wage employment in services, aged 25-64 (% of workers aged 25-64 in the service sector) JI.SRV.WAGE.OL.ZS
Wage payments: Family member withdrew money (% age 15+) fin36Ab
Wage payments: leave some money in the account (% age 15+) fin36b
Wage payments: leave some money in the account, in laborforce (% age 15+) fin36b.12
Wage payments: leave some money in the account, men (% age 15+) fin36b.2
Wage payments: leave some money in the account, older (% age 25+) fin36b.4
Wage payments: leave some money in the account, out of laborforce (% age 15+) fin36b.11
Wage payments: leave some money in the account, poorest 40% (% age 15+) fin36b.7
Wage payments: leave some money in the account, primary education or less (% age 15+) fin36b.5
Wage payments: leave some money in the account, richest 60% (% age 15+) fin36b.8
Wage payments: leave some money in the account, rural (% age 15+) fin36b.9
Wage payments: leave some money in the account, secondary education or more (% age 15+) fin36b.6
Wage payments: leave some money in the account, urban (% age 15+) fin36b.10
Wage payments: leave some money in the account, women (% age 15+) fin36b.1
Wage payments: leave some money in the account, young (% ages 15-24) fin36b.3
Wage payments: Take all money out of account (% age 15+) fin36a
Wage payments: Take all money out of account, in laborforce (% age 15+) fin36a.12
Wage payments: Take all money out of account, men (% age 15+) fin36a.2
Wage payments: Take all money out of account, older (% age 25+) fin36a.4
Wage payments: Take all money out of account, out of laborforce (% age 15+) fin36a.11
Wage payments: Take all money out of account, poorest 40% (% age 15+) fin36a.7
Wage payments: Take all money out of account, primary education or less (% age 15+) fin36a.5
Wage payments: Take all money out of account, richest 60% (% age 15+) fin36a.8
Wage payments: Take all money out of account, rural (% age 15+) fin36a.9
Wage payments: Take all money out of account, secondary education or more (% age 15+) fin36a.6
Wage payments: Take all money out of account, urban (% age 15+) fin36a.10
Wage payments: Take all money out of account, women (% age 15+) fin36a.1
Wage payments: Take all money out of account, young (% ages 15-24) fin36a.3
Wage payments: Take out money by self (% age 15+) fin36Aa
Wage Premia for Females (the ratio of skilled female workers' wage to unskilled female workers' wage) wpremia_F
Wage Premia for Males (the ratio of skilled male workers' wage to unskilled male workers' wage) wpremia_M
Wage workers, aged 15-24 (% of employed population aged 15-24) JI.EMP.WAGE.YG.ZS
Wage workers, aged 15-64, above primary education (% of employed population with high education in working age) JI.EMP.WAGE.HE.ZS
Wage workers, aged 15-64, female (% of female employed population in working age) JI.EMP.WAGE.FE.ZS
Wage workers, aged 15-64, male (% of male employed population in working age) JI.EMP.WAGE.MA.ZS
Wage workers, aged 15-64, primary education and below (% of employed population with low education in working age) JI.EMP.WAGE.LE.ZS
Wage workers, aged 15-64, rural (% of rural employed population in working age) JI.EMP.WAGE.RU.ZS
Wage workers, aged 15-64, total (% of total employed population in working age) JI.EMP.WAGE.ZS
Wage workers, aged 15-64, urban (% of urban employed population in working age) JI.EMP.WAGE.UR.ZS
Wage workers, aged 25-64 (% of employed population aged 25-64) JI.EMP.WAGE.OL.ZS
Wages and salaries (% of total expenditure) GB.XPC.WAGE.ZS
Wages and salaries (current LCU) GB.XPC.WAGE.CN
Wagon Usage (KMs/Wagon Day) IN.IS.RRS.WAGN.USAGE
Wagon Usage: Avergae Wagon Lead during run (in Tonnes) IN.IS.RRS.WAGN.LEAD
Wagon Usage: Net Tonne-KMs/Weagon Day IN.IS.RRS.WAGN.NTKM.PER.WAGNDAY
Wanted fertility rate (births per woman) SP.DYN.WFRT
Water bodies (SQ KMs) IN.ENV.COASTALZONE.WATERBODIES.AREA
Water pollution, chemical industry (% of total BOD emissions) EE.BOD.CHEM.ZS
Water pollution, clay and glass industry (% of total BOD emissions) EE.BOD.CGLS.ZS
Water pollution, food industry (% of total BOD emissions) EE.BOD.FOOD.ZS
Water pollution, metal industry (% of total BOD emissions) EE.BOD.MTAL.ZS
Water pollution, other industry (% of total BOD emissions) EE.BOD.OTHR.ZS