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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.
- Borrowed from a formal bank or similar financial institution, women (% age 15+) fin22a.1
- Borrowed from a formal bank or similar financial institution, young (% ages 15-24) fin22a.3
- Borrowed from a mobile money provider (% age 15+) fin22a_1
- Borrowed from a mobile money provider, in laborforce (% age 15+) fin22a_1.12
- Borrowed from a mobile money provider, men (% age 15+) fin22a_1.2
- Borrowed from a mobile money provider, older (% age 25+) fin22a_1.4
- Borrowed from a mobile money provider, out of laborforce (% age 15+) fin22a_1.11
- Borrowed from a mobile money provider, poorest 40% (% age 15+) fin22a_1.7
- Borrowed from a mobile money provider, primary education or less (% age 15+) fin22a_1.5
- Borrowed from a mobile money provider, richest 60% (% age 15+) fin22a_1.8
- Borrowed from a mobile money provider, rural (% age 15+) fin22a_1.9
- Borrowed from a mobile money provider, secondary education or more (% age 15+) fin22a_1.6
- Borrowed from a mobile money provider, urban (% age 15+) fin22a_1.10
- Borrowed from a mobile money provider, women (% age 15+) fin22a_1.1
- Borrowed from a mobile money provider, young (% ages 15-24) fin22a_1.3
- Borrowed from a savings club (% age 15+) fin22c
- Borrowed from a savings club, in laborforce (% age 15+) fin22c.12
- Borrowed from a savings club, men (% age 15+) fin22c.2
- Borrowed from a savings club, older (% age 25+) fin22c.4
- Borrowed from a savings club, out of laborforce (% age 15+) fin22c.11
- Borrowed from a savings club, poorest 40% (% age 15+) fin22c.7
- Borrowed from a savings club, primary education or less (% age 15+) fin22c.5
- Borrowed from a savings club, richest 60% (% age 15+) fin22c.8
- Borrowed from a savings club, rural (% age 15+) fin22c.9
- Borrowed from a savings club, secondary education or more (% age 15+) fin22c.6
- Borrowed from a savings club, urban (% age 15+) fin22c.10
- Borrowed from a savings club, women (% age 15+) fin22c.1
- Borrowed from a savings club, young (% ages 15-24) fin22c.3
- Borrowed from family or friends (% age 15+) fin22b
- Borrowed from family or friends, in laborforce (% age 15+) fin22b.12
- Borrowed from family or friends, men (% age 15+) fin22b.2
- Borrowed from family or friends, older (% age 25+) fin22b.4
- Borrowed from family or friends, out of laborforce (% age 15+) fin22b.11
- Borrowed from family or friends, poorest 40% (% age 15+) fin22b.7
- Borrowed from family or friends, primary education or less (% age 15+) fin22b.5
- Borrowed from family or friends, richest 60% (% age 15+) fin22b.8
- Borrowed from family or friends, rural (% age 15+) fin22b.9
- Borrowed from family or friends, secondary education or more (% age 15+) fin22b.6
- Borrowed from family or friends, urban (% age 15+) fin22b.10
- Borrowed from family or friends, women (% age 15+) fin22b.1
- Borrowed from family or friends, young (% ages 15-24) fin22b.3
- Borrowed to start or operate a business (% age 15+) fin22e
- Borrowed to start or operate a business, in laborforce (% age 15+) fin22e.12
- Borrowed to start or operate a business, men (% age 15+) fin22e.2
- Borrowed to start or operate a business, older (% age 25+) fin22e.4
- Borrowed to start or operate a business, out of laborforce (% age 15+) fin22e.11
- Borrowed to start or operate a business, poorest 40% (% age 15+) fin22e.7
- Borrowed to start or operate a business, primary education or less (% age 15+) fin22e.5
- Borrowed to start or operate a business, richest 60% (% age 15+) fin22e.8
- Borrowed to start or operate a business, rural (% age 15+) fin22e.9
- Borrowed to start or operate a business, secondary education or more (% age 15+) fin22e.6
- Borrowed to start or operate a business, urban (% age 15+) fin22e.10
- Borrowed to start or operate a business, women (% age 15+) fin22e.1
- Borrowed to start or operate a business, young (% ages 15-24) fin22e.3
- Borrowers from commercial banks (per 1,000 adults) FB.CBK.BRWR.P3
- Bound rate, simple mean, all products (%) TM.TAX.MRCH.BR.ZS
- Bound rate, simple mean, manufactured products (%) TM.TAX.MANF.BR.ZS
- Bound rate, simple mean, primary products (%) TM.TAX.TCOM.BR.ZS
- BPK Audit Report on Sub-National Budget BPK.AUD.SUBN
- Branches per 100,000 adults i_branches_A1_pop
- Branches, commercial banks (per 100,000 adults) FB.BNK.BRCH.CB.P5
- Branches, cooperatives (per 100,000 adults) FB.BNK.BRCH.CO.P5
- Branches, microfinance institutions (per 100,000 adults) FB.BNK.BRCH.MF.P5
- Branches, specialized state financial institutions (per 100,000 adults) FB.BNK.BRCH.SF.P5
- Bread and cereals price in PPP terms (U.S. price = 100) EP.PPR.BRED.XD
- Breastfeeding (% of children under 6 months): Q1 (lowest) SH.STA.BFED.Q1.ZS
- Breastfeeding (% of children under 6 months): Q2 SH.STA.BFED.Q2.ZS
- Breastfeeding (% of children under 6 months): Q3 SH.STA.BFED.Q3.ZS
- Breastfeeding (% of children under 6 months): Q4 SH.STA.BFED.Q4.ZS
- Breastfeeding (% of children under 6 months): Q5 (highest) SH.STA.BFED.Q5.ZS
- Bribery depth (% of public transactions where a gift or informal payment was requested) IC.FRM.BRIB.GRAFT2
- Bribery incidence (% of firms experiencing at least one bribe payment request) IC.FRM.BRIB.ZS
- Bribery incidence (percent of firms experiencing at least one bribe payment request) IC.FRM.BRIB.GRAFT3
- Broad money (% of GDP) FM.LBL.BMNY.GD.ZS
- Broad money (current LCU) FM.LBL.BMNY.CN
- Broad money growth (annual %) FM.LBL.BMNY.ZG
- Broad money to total reserves ratio FM.LBL.BMNY.IR.ZS
- Broadband subscribers (per 1,000 people) IT.NET.BBND.P3
- Budget alignment with climate change strategies CRPFM-1
- Budget alignment with climate change strategies CRPFM-1.1
- Budget Classification PI-04
- Budget Documentation PI-05
- Budget preparation process PI-17
- Budgetary investment (current LCU) GB.XPK.RINV.CN
- Built-up land (SQ KMs) IN.ENV.COASTALZONE.BUILT.AREA
- Burden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient) IQ.WEF.CUST.XQ
- Business entry rate (new registrations as % of total) IC.BUS.NREG.ZS
- Business extent of disclosure index (0=less disclosure to 10=more disclosure) IC.BUS.DISC.XQ
- Business Licensing and Permits (% of firms Identifying this as major constraint) IC.FRM.LIC.ZS
- Business model for eProcurement C3.1l
- Business process SPI.D5.2.10.GSBP
- Business telephone connection charge (current LCU) IT.MLT.BCONN.CN
- Business telephone connection charge (current US$) IT.MLT.BCONN.CD
- Business telephone monthly subscription (current LCU) IT.MLT.BSUB.CN
- Business telephone monthly subscription (current US$) IT.MLT.BSUB.CD
- Business/establishment census (Availability score over 20 years) SPI.D4.1.3.BIZZ
- Business/establishment survey (Availability score over 10 years) SPI.D4.1.8.BZSVY
- Buys data package daily (% age 15+) con28d
- Buys data package daily (% who purchase a data package, age 15+) con28d.s
- Buys data package daily, in laborforce (% age 15+) con28d.12
- Buys data package daily, men (% age 15+) con28d.2
- Buys data package daily, older (% age 25+) con28d.4
- Buys data package daily, out of laborforce (% age 15+) con28d.11
- Buys data package daily, poorest 40% (% age 15+) con28d.7
- Buys data package daily, primary education or less (% age 15+) con28d.5
- Buys data package daily, richest 60% (% age 15+) con28d.8
- Buys data package daily, rural (% age 15+) con28d.9
- Buys data package daily, secondary education or more (% age 15+) con28d.6
- Buys data package daily, urban (% age 15+) con28d.10
- Buys data package daily, women (% age 15+) con28d.1
- Buys data package daily, young (% ages 15-24) con28d.3
- Buys data package for internet use (% age 15+) con27
- Buys data package for internet use (% internet users, age 15+) con27.s
- Buys data package for internet use, in laborforce (% age 15+) con27.12
- Buys data package for internet use, men (% age 15+) con27.2
- Buys data package for internet use, older (% age 25+) con27.4
- Buys data package for internet use, out of laborforce (% age 15+) con27.11
- Buys data package for internet use, poorest 40% (% age 15+) con27.7
- Buys data package for internet use, primary education or less (% age 15+) con27.5
- Buys data package for internet use, richest 60% (% age 15+) con27.8
- Buys data package for internet use, rural (% age 15+) con27.9
- Buys data package for internet use, secondary education or more (% age 15+) con27.6
- Buys data package for internet use, urban (% age 15+) con27.10
- Buys data package for internet use, women (% age 15+) con27.1
- Buys data package for internet use, young (% ages 15-24) con27.3
- Buys data package less than once a month (% age 15+) con28lm
- Buys data package less than once a month (% who purchase a data package, age 15+) con28lm.s
- Buys data package less than once a month, in laborforce (% age 15+) con28lm.12
- Buys data package less than once a month, men (% age 15+) con28lm.2
- Buys data package less than once a month, older (% age 25+) con28lm.4
- Buys data package less than once a month, out of laborforce (% age 15+) con28lm.11
- Buys data package less than once a month, poorest 40% (% age 15+) con28lm.7
- Buys data package less than once a month, primary education or less (% age 15+) con28lm.5
- Buys data package less than once a month, richest 60% (% age 15+) con28lm.8
- Buys data package less than once a month, rural (% age 15+) con28lm.9
- Buys data package less than once a month, secondary education or more (% age 15+) con28lm.6
- Buys data package less than once a month, urban (% age 15+) con28lm.10
- Buys data package less than once a month, women (% age 15+) con28lm.1
- Buys data package less than once a month, young (% ages 15-24) con28lm.3
- Buys data package monthly (% age 15+) con28m
- Buys data package monthly (% who purchase a data package, age 15+) con28m.s
- Buys data package monthly, in laborforce (% age 15+) con28m.12
- Buys data package monthly, men (% age 15+) con28m.2
- Buys data package monthly, older (% age 25+) con28m.4
- Buys data package monthly, out of laborforce (% age 15+) con28m.11
- Buys data package monthly, poorest 40% (% age 15+) con28m.7
- Buys data package monthly, primary education or less (% age 15+) con28m.5
- Buys data package monthly, richest 60% (% age 15+) con28m.8
- Buys data package monthly, rural (% age 15+) con28m.9
- Buys data package monthly, secondary education or more (% age 15+) con28m.6
- Buys data package monthly, urban (% age 15+) con28m.10
- Buys data package monthly, women (% age 15+) con28m.1
- Buys data package monthly, young (% ages 15-24) con28m.3
- Buys data package weekly (% age 15+) con28w
- Buys data package weekly (% who purchase a data package, age 15+) con28w.s
- Buys data package weekly, in laborforce (% age 15+) con28w.12
- Buys data package weekly, men (% age 15+) con28w.2
- Buys data package weekly, older (% age 25+) con28w.4
- Buys data package weekly, out of laborforce (% age 15+) con28w.11
- Buys data package weekly, poorest 40% (% age 15+) con28w.7
- Buys data package weekly, primary education or less (% age 15+) con28w.5
- Buys data package weekly, richest 60% (% age 15+) con28w.8
- Buys data package weekly, rural (% age 15+) con28w.9
- Buys data package weekly, secondary education or more (% age 15+) con28w.6
- Buys data package weekly, urban (% age 15+) con28w.10
- Buys data package weekly, women (% age 15+) con28w.1
- Buys data package weekly, young (% ages 15-24) con28w.3
- Cable television subscribers (per 1,000 people) IT.TVS.CABL.P3
- Can change PIN or password on mobile phone without help (% age 15+) con19
- Can change PIN or password on mobile phone without help (% with a password, age 15+) con19.s
- Can change PIN or password on mobile phone without help, in laborforce (% age 15+) con19.12
- Can change PIN or password on mobile phone without help, men (% age 15+) con19.2
- Can change PIN or password on mobile phone without help, older (% age 25+) con19.4
- Can change PIN or password on mobile phone without help, out of laborforce (% age 15+) con19.11
- Can change PIN or password on mobile phone without help, poorest 40% (% age 15+) con19.7
- Can change PIN or password on mobile phone without help, primary education or less (% age 15+) con19.5
- Can change PIN or password on mobile phone without help, richest 60% (% age 15+) con19.8
- Can change PIN or password on mobile phone without help, rural (% age 15+) con19.9
- Can change PIN or password on mobile phone without help, secondary education or more (% age 15+) con19.6
- Can change PIN or password on mobile phone without help, urban (% age 15+) con19.10
- Can change PIN or password on mobile phone without help, women (% age 15+) con19.1
- Can change PIN or password on mobile phone without help, young (% ages 15-24) con19.3
- Can read and understand a text message using English letters (% who read a text message, age 15+) con15.s
- Can read and understand a text message using English letters (% who, age 15+) (% age 15+) con15
- Can read and understand a text message using English letters (% who, age 15+), in laborforce (% age 15+) con15.12
- Can read and understand a text message using English letters (% who, age 15+), men (% age 15+) con15.2
- Can read and understand a text message using English letters (% who, age 15+), older (% age 25+) con15.4
- Can read and understand a text message using English letters (% who, age 15+), out of laborforce (% age 15+) con15.11
- Can read and understand a text message using English letters (% who, age 15+), poorest 40% (% age 15+) con15.7
- Can read and understand a text message using English letters (% who, age 15+), primary education or less (% age 15+) con15.5
- Can read and understand a text message using English letters (% who, age 15+), richest 60% (% age 15+) con15.8
- Can read and understand a text message using English letters (% who, age 15+), rural (% age 15+) con15.9
- Can read and understand a text message using English letters (% who, age 15+), secondary education or more (% age 15+) con15.6
- Can read and understand a text message using English letters (% who, age 15+), urban (% age 15+) con15.10
- Can read and understand a text message using English letters (% who, age 15+), women (% age 15+) con15.1
- Can read and understand a text message using English letters (% who, age 15+), young (% ages 15-24) con15.3
- Can send a text message on a mobile phone (% age 15+) con16
- Can send a text message on a mobile phone (% with a phone, age 15+) con16.s
- Can send a text message on a mobile phone, in laborforce (% age 15+) con16.12
- Can send a text message on a mobile phone, men (% age 15+) con16.2