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.

Female persons using a computer (% of female persons with some degree of functional difficulty) cmpu_some_dfcl_fem
Female persons using the Internet (% of female persons with any degree of functional difficulty) netu_any_dfcl_fem
Female persons using the Internet (% of female persons with disability i.e. at least a lot of functional difficulty) netu_al_alot_dfcl_fem
Female persons using the Internet (% of female persons with no functional difficulty) netu_none_dfcl_fem
Female persons using the Internet (% of female persons with none or some degree of functional difficulty) netu_nosome_dfcl_fem
Female persons using the Internet (% of female persons with some degree of functional difficulty) netu_some_dfcl_fem
Female persons who have ever attended school (% of female persons with any degree of functional difficulty) eatn_any_dfcl_fem
Female persons who have ever attended school (% of female persons with disability i.e. at least a lot of functional difficulty) eatn_al_alot_dfcl_fem
Female persons who have ever attended school (% of female persons with no functional difficulty) eatn_none_dfcl_fem
Female persons who have ever attended school (% of female persons with none or some degree of functional difficulty) eatn_nosome_dfcl_fem
Female persons who have ever attended school (% of female persons with some degree of functional difficulty) eatn_some_dfcl_fem
Female persons with adequate housing (% of female persons with any degree of functional difficulty) ad_hsng_any_dfcl_fem
Female persons with adequate housing (% of female persons with disability i.e. at least a lot of functional difficulty) ad_hsng_al_alot_dfcl_fem
Female persons with adequate housing (% of female persons with no functional difficulty) ad_hsng_none_dfcl_fem
Female persons with adequate housing (% of female persons with none or some degree of functional difficulty) ad_hsng_nosome_dfcl_fem
Female persons with adequate housing (% of female persons with some degree of functional difficulty) ad_hsng_some_dfcl_fem
Female persons with at least primary education (% of female persons with any degree of functional difficulty) al_prim_any_dfcl_fem
Female persons with at least primary education (% of female persons with disability i.e. at least a lot of functional difficulty) al_prim_al_alot_dfcl_fem
Female persons with at least primary education (% of female persons with no functional difficulty) al_prim_none_dfcl_fem
Female persons with at least primary education (% of female persons with none or some degree of functional difficulty) al_prim_nosome_dfcl_fem
Female persons with at least primary education (% of female persons with some degree of functional difficulty) al_prim_some_dfcl_fem
Female persons with at least secondary education (% of female persons with any degree of functional difficulty) al_seco_any_dfcl_fem
Female persons with at least secondary education (% of female persons with disability i.e. at least a lot of functional difficulty) al_seco_al_alot_dfcl_fem
Female persons with at least secondary education (% of female persons with no functional difficulty) al_seco_none_dfcl_fem
Female persons with at least secondary education (% of female persons with none or some degree of functional difficulty) al_seco_nosome_dfcl_fem
Female persons with at least secondary education (% of female persons with some degree of functional difficulty) al_seco_some_dfcl_fem
Female persons with clean cooking fuel (% of female persons with any degree of functional difficulty) cfuel_any_dfcl_fem
Female persons with clean cooking fuel (% of female persons with disability i.e. at least a lot of functional difficulty) cfuel_al_alot_dfcl_fem
Female persons with clean cooking fuel (% of female persons with no functional difficulty) cfuel_none_dfcl_fem
Female persons with clean cooking fuel (% of female persons with none or some degree of functional difficulty) cfuel_nosome_dfcl_fem
Female persons with clean cooking fuel (% of female persons with some degree of functional difficulty) cfuel_some_dfcl_fem
Female persons with electricity (% of female persons with any degree of functional difficulty) elc_any_dfcl_fem
Female persons with electricity (% of female persons with disability i.e. at least a lot of functional difficulty) elc_al_alot_dfcl_fem
Female persons with electricity (% of female persons with no functional difficulty) elc_none_dfcl_fem
Female persons with electricity (% of female persons with none or some degree of functional difficulty) elc_nosome_dfcl_fem
Female persons with electricity (% of female persons with some degree of functional difficulty) elc_some_dfcl_fem
Female persons with health insurance (% of female persons with any degree of functional difficulty) htin_any_dfcl_fem
Female persons with health insurance (% of female persons with disability i.e. at least a lot of functional difficulty) htin_al_alot_dfcl_fem
Female persons with health insurance (% of female persons with no functional difficulty) htin_none_dfcl_fem
Female persons with health insurance (% of female persons with none or some degree of functional difficulty) htin_nosome_dfcl_fem
Female persons with health insurance (% of female persons with some degree of functional difficulty) htin_some_dfcl_fem
Female primary school age children out-of-school (%) SE.LPV.PRIM.OOS.FE
Female primary school age children out-of-school (%) SE.LPV.PRIM.SD.FE
Female professional and technical workers (% of total) SG.GEN.TECH.ZS
Female pupils below minimum reading proficiency at end of primary (%). Low GAML threshold SE.LPV.PRIM.BMP.FE
Female pupils below minimum reading proficiency at end of primary (%). Low GAML threshold SE.LPV.PRIM.LD.FE
Female share of employment in senior and middle management (%) SL.EMP.SMGT.FE.ZS
Female share of graduates from Science, Technology, Engineering and Mathematics (STEM) programmes, tertiary (%) SE.TER.GRAD.FE.SI.ZS
Female share of graduates in Agriculture, Forestry, Fisheries and Veterinary programmes, tertiary (%) SE.TER.GRAD.FE.AG.ZS
Female share of graduates in Arts and Humanities programmes, tertiary (%) SE.TER.GRAD.FE.HU.ZS
Female share of graduates in Business, Administration and Law programmes, tertiary (%) UIS.FGP.5T8.F400
Female share of graduates in Education programmes, tertiary (%) SE.TER.GRAD.FE.ED.ZS
Female share of graduates in Engineering, Manufacturing and Construction programmes, tertiary (%) SE.TER.GRAD.FE.EN.ZS
Female share of graduates in Health and Welfare programmes, tertiary (%) SE.TER.GRAD.FE.HL.ZS
Female share of graduates in Information and Communication Technologies programmes, tertiary (%) UIS.FGP.5T8.F600
Female share of graduates in Natural Sciences, Mathematics and Statistics programmes, tertiary (%) SE.TER.GRAD.FE.SC.ZS
Female share of graduates in other fields than Science, Technology, Engineering and Mathematics programmes, tertiary (%) UIS.FGP.5T8.FNON500600700
Female share of graduates in Services programmes, tertiary (%) SE.TER.GRAD.FE.SV.ZS
Female share of graduates in Social Sciences, Journalism and Information programmes, tertiary (%) SE.TER.GRAD.FE.SS.ZS
Female share of graduates in unknown or unspecified fields, tertiary (%) SE.TER.GRAD.FE.OT.ZS
Female to male gender wage gap, aged 15-24 JI.WAG.GNDR.YG
Female to male gender wage gap, aged 15-64, above primary education JI.WAG.GNDR.HE
Female to male gender wage gap, aged 15-64, primary education and below JI.WAG.GNDR.LE
Female to male gender wage gap, aged 15-64, rural JI.WAG.GNDR.RU
Female to male gender wage gap, aged 15-64, total JI.WAG.GNDR
Female to male gender wage gap, aged 15-64, urban JI.WAG.GNDR.UR
Female to male gender wage gap, aged 25-64 JI.WAG.GNDR.OL
Female to male wage ratio in the private sector (using mean) BI.WAG.PRVS.FM.SM
Female to male wage ratio in the private sector (using median) BI.WAG.PRVS.FM.MD
Female to male wage ratio in the public sector (using mean) BI.WAG.PUBS.FM.SM
Female to male wage ratio in the public sector (using median) BI.WAG.PUBS.FM.MD
Females, as a share of private paid employees BI.PWK.PRVS.FE.ZS
Females, as a share of private paid employees by occupational group: Clerks BI.PWK.PRVS.CK.FE.ZS
Females, as a share of private paid employees by occupational group: Elementary occupation BI.PWK.PRVS.EO.FE.ZS
Females, as a share of private paid employees by occupational group: Managers BI.PWK.PRVS.SN.FE.ZS
Females, as a share of private paid employees by occupational group: Professionals BI.PWK.PRVS.PN.FE.ZS
Females, as a share of private paid employees by occupational group: Technicians BI.PWK.PRVS.TN.FE.ZS
Females, as a share of private paid employees by wage quintile: Quintile 1 BI.PWK.PRVS.FE.Q1.ZS
Females, as a share of private paid employees by wage quintile: Quintile 2 BI.PWK.PRVS.FE.Q2.ZS
Females, as a share of private paid employees by wage quintile: Quintile 3 BI.PWK.PRVS.FE.Q3.ZS
Females, as a share of private paid employees by wage quintile: Quintile 4 BI.PWK.PRVS.FE.Q4.ZS
Females, as a share of private paid employees by wage quintile: Quintile 5 BI.PWK.PRVS.FE.Q5.ZS
Females, as a share of public paid employees BI.PWK.PUBS.FE.ZS
Females, as a share of public paid employees by industry: Core Public Administration BI.PWK.PUBS.CA.FE.ZS
Females, as a share of public paid employees by industry: Education BI.PWK.PUBS.ED.FE.ZS
Females, as a share of public paid employees by industry: Health BI.PWK.PUBS.HE.FE.ZS
Females, as a share of public paid employees by industry: Public Administration BI.PWK.PUBS.PA.FE.ZS
Females, as a share of public paid employees by industry: Public Safety BI.PWK.PUBS.PS.FE.ZS
Females, as a share of public paid employees by industry: Social Security BI.PWK.PUBS.SS.FE.ZS
Females, as a share of public paid employees by industry: Teachers BI.PWK.PUBS.TS.FE.ZS
Females, as a share of public paid employees by occupation: Medical workers BI.PWK.PUBS.MW.FE.ZS
Females, as a share of public paid employees by occupational group: Clerks BI.PWK.PUBS.CK.FE.ZS
Females, as a share of public paid employees by occupational group: Elementary occupation BI.PWK.PUBS.EO.FE.ZS
Females, as a share of public paid employees by occupational group: Managers BI.PWK.PUBS.SN.FE.ZS
Females, as a share of public paid employees by occupational group: Professionals BI.PWK.PUBS.PN.FE.ZS
Females, as a share of public paid employees by occupational group: Technicians BI.PWK.PUBS.TN.FE.ZS
Females, as a share of public paid employees by wage quintile: Quintile 1 BI.PWK.PUBS.FE.Q1.ZS
Females, as a share of public paid employees by wage quintile: Quintile 2 BI.PWK.PUBS.FE.Q2.ZS
Females, as a share of public paid employees by wage quintile: Quintile 3 BI.PWK.PUBS.FE.Q3.ZS
Females, as a share of public paid employees by wage quintile: Quintile 4 BI.PWK.PUBS.FE.Q4.ZS
Females, as a share of public paid employees by wage quintile: Quintile 5 BI.PWK.PUBS.FE.Q5.ZS
Fertility planning status (wanted later) (% of births): Q1 (lowest) SH.FPL.MSTM.Q1.ZS
Fertility planning status (wanted later) (% of births): Q2 SH.FPL.MSTM.Q2.ZS
Fertility planning status (wanted later) (% of births): Q3 SH.FPL.MSTM.Q3.ZS
Fertility planning status (wanted later) (% of births): Q4 SH.FPL.MSTM.Q4.ZS
Fertility planning status (wanted later) (% of births): Q5 (highest) SH.FPL.MSTM.Q5.ZS
Fertility planning status (wanted no more) (% of births): Q1 (lowest) SH.FPL.UWTD.Q1.ZS
Fertility planning status (wanted no more) (% of births): Q2 SH.FPL.UWTD.Q2.ZS
Fertility planning status (wanted no more) (% of births): Q3 SH.FPL.UWTD.Q3.ZS
Fertility planning status (wanted no more) (% of births): Q4 SH.FPL.UWTD.Q4.ZS
Fertility planning status (wanted no more) (% of births): Q5 (highest) SH.FPL.UWTD.Q5.ZS
Fertility planning status (wanted then) (% of births): Q1 (lowest) SH.FPL.WNTD.Q1.ZS
Fertility planning status (wanted then) (% of births): Q2 SH.FPL.WNTD.Q2.ZS
Fertility planning status (wanted then) (% of births): Q3 SH.FPL.WNTD.Q3.ZS
Fertility planning status (wanted then) (% of births): Q4 SH.FPL.WNTD.Q4.ZS
Fertility planning status (wanted then) (% of births): Q5 (highest) SH.FPL.WNTD.Q5.ZS
Fertility planning status: mistimed pregnancy (% of births) SH.FPL.MSTM.ZS
Fertility planning status: planned pregnancy (% of births) SH.FPL.WNTD.ZS
Fertility planning status: unwanted pregnancy (% of births) SH.FPL.UWTD.ZS
Fertility rate, total (births per woman) SP.DYN.TFRT.IN
Fertilizer consumption (% of fertilizer production) AG.CON.FERT.PT.ZS
Fertilizer consumption (kilograms per hectare of arable land) AG.CON.FERT.ZS
Fertilizer consumption (metric tons) AG.CON.FERT.MT
Final consumption expenditure (% of GDP) NE.CON.TOTL.ZS
Final consumption expenditure (annual % growth) NE.CON.TOTL.KD.ZG
Final consumption expenditure (constant 2015 US$) NE.CON.TOTL.KD
Final consumption expenditure (constant LCU) NE.CON.TOTL.KN
Final consumption expenditure (current LCU) NE.CON.TOTL.CN
Final consumption expenditure (current US$) NE.CON.TOTL.CD
Final consumption expenditure plus discrepancy, per capita (current US$) NE.CON.PCAP.CD
Final consumption expenditure, etc. (% of GDP) NE.CON.TETC.ZS
Final consumption expenditure, etc. (annual % growth) NE.CON.TETC.KD.ZG
Final consumption expenditure, etc. (constant 2010 US$) NE.CON.TETC.KD
Final consumption expenditure, etc. (constant LCU) NE.CON.TETC.KN
Final consumption expenditure, etc. (current LCU) NE.CON.TETC.CN
Final consumption expenditure, etc. (current US$) NE.CON.TETC.CD
Finance (% of managers surveyed ranking this as a major constraint) IC.CNS.FINA.ZS
Finance Indicator based on PARIS21 indicators on SDG 17.18.3 & SDG 17.19.1 SPI.D5.5.DIFI
Financial and insurance activities (banking), value added (constant LCU) NV.SRV.BNKG.KN
Financial and insurance activities (banking), value added (current LCU) NV.SRV.BNKG.CN
Financial and insurance activities (banking), value added (current US$) NV.SRV.BNKG.CD
Financial data integrity PI-27
Financial Inclusion Index (CRISIL Method) IN.FIN.FININCL.INDX
Financial information infrastructure index (0=less developed to 10=more developed) FB.FIN.INFO.XQ
Financial intermediary services indirectly Measured (FISIM) (constant LCU) NV.FSM.TOTL.KN
Financial intermediary services indirectly Measured (FISIM) (current LCU) NV.FSM.TOTL.CN
Financial knowledge score (0-3) GPFI1_TOTL
Financial services, exports (BoP, current US$) BX.GSR.FINS.CD
Financial services, imports (BoP, current US$) BM.GSR.FINS.CD
Financial system deposits to GDP (%) GFDD.DI.08
Financing from abroad (% of GDP) GB.FIN.ABRD.GDP.ZS
Financing from abroad (% of GDP) GB.FIN.ABRD.GD.ZS
Financing score; where a score of 1 indicates low effectiveness and 5 indicates high effectiveness in terms of adequacy, efficiency, and equity. SE.PRM.BFIN.1
Financing via international capital markets (gross inflows, % of GDP) CM.FIN.INTL.GD.ZS
Financing, including external capital grants (current LCU) GB.FIN.IKFR.CN
Firing cost (weeks of wages) IC.EMP.FIRE.WK
Firms adopting energy management measures to reduce emissions (% of firms) IC.FRM.ENGM.ZS
Firms competing against unregistered firms (% of firms) IC.FRM.CMPU.ZS
Firms expected to give gifts in meetings with tax officials (% of firms) IC.TAX.GIFT.ZS
Firms experiencing electrical outages (% of firms) IC.ELC.OUTG.ZS
Firms experiencing losses due to theft and vandalism (% of firms) IC.FRM.THEV.ZS
Firms exporting directly at least 10% of sales (% of firms) IC.FRM.EXS.ZS
Firms filling taxes electronically (% of firms) IC.FRM.TAXE.ZS
Firms formally registered when operations started (% of firms) IC.FRM.FREG.ZS
Firms Formally Registered when Started Operations in the Country (% of firms) IC.FRM.REG.ZS
Firms identifying access to finance as a major constraint (%) GFDD.AI.36
Firms identifying corruption as a major constraint (% of firms) IC.FRM.COR.ZS
Firms identifying practices of competitors in the Informal Sector as a major constraint (% of firms) IC.FRM.COMP.ZS
Firms monitoring own CO2 emissions (% of firms) IC.FRM.CO2.ZS
Firms not needing a loan (%) GFDD.AI.32
Firms offering formal training (% of firms) IC.FRM.TRNG.ZS
Firms Paying for Security (% of firms) IC.FRM.SEC.ZS
Firms that are fully credit constrained (% of firms) IC.FRM.CRDC.FL.ZS
Firms that are partially credit constrained (% of firms) IC.FRM.CRDC.PT.ZS
Firms that do not report all sales for tax purposes (% of firms) IC.FRM.INFM.ZS
Firms that introduced a new product/service and process, and spent on R&D IC.FRM.NPRD.ZS
Firms that share or own their own generator (% of firms) IC.CNS.GEN.ZS
Firms that spend on R&D (% of firms) IC.FRM.RSDV.ZS
Firms that trade identifying customs & trade regulations as a major constraint (% of firms) IC.FRM.CUS.ZS
Firms that use a third party to resolve commercial disputes (% of firms) IC.FRM.CDP.ZS
Firms that use material inputs and/or supplies of foreign origin IC.FRM.FINPUT.ZS
Firms using banks to finance investment (% of firms) IC.FRM.BNKS.ZS
Firms using banks to finance investments (%) GFDD.AI.28
Firms using banks to finance working capital (% of firms) IC.FRM.BKWC.ZS
Firms using banks to finance working capital (%) GFDD.AI.29
Firms using email to communicate with clients/suppliers (% of firms) IC.FRM.EMAIL.ZS
Firms using its own website (% of firms) IC.FRM.WEB.ZS
Firms using technology licensed from foreign companies (% of firms) IC.FRM.TECH.ZS
Firms visited or required meetings with tax officials (% of firms) IC.FRM.METG.ZS
Firms where largest owner is also the top manager (% of firms) IC.FRM.LOTM.ZS
Firms whose recent loan application was rejected (%) GFDD.AI.33
Firms with a bank loan or line of credit (%) GFDD.AI.03
Firms with a bank loan/line of credit (% of firms) IC.FRM.BNKL.ZS
Firms with a Checking or Savings Account (% of firms) IC.FRM.ACC.ZS
Firms with a checking or savings account (%) GFDD.AI.27
Firms with annual Financial Statement reviewed by External Auditor (% of firms) IC.FRM.AUDIT.ZS
Firms with at least 10% foreign ownership IC.FRM.FO.ZS
Firms with female participation in ownership (% of firms) IC.FRM.FEMO.ZS
Firms with female top manager (% of firms) IC.FRM.FEMM.ZS
Firms with Line of Credit or Loans from Financial Institutions (% of firms) IC.FRM.CRD.ZS