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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+data/core/world_bank.csv filter=lfs diff=lfs merge=lfs -text
+data/unified/all_indicators.csv filter=lfs diff=lfs merge=lfs -text

.zenodo.json

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+{
+  "title": "HistorySaid Global Economic Dataset",
+  "description": "Unified, normalized economic dataset. 99 indicators from World Bank, IMF WEO, and BIS across 215 countries.",
+  "creators": [
+    {
+      "name": "Kavela Ltd",
+      "affiliation": "https://historysaid.com"
+    }
+  ],
+  "upload_type": "dataset",
+  "access_right": "open",
+  "license": "cc-by-4.0",
+  "keywords": [
+    "economics",
+    "macroeconomics",
+    "GDP",
+    "world bank",
+    "IMF",
+    "global development",
+    "open data"
+  ],
+  "related_identifiers": [
+    {
+      "identifier": "https://historysaid.com",
+      "relation": "isSupplementedBy",
+      "scheme": "url"
+    }
+  ],
+  "version": "1.0"
+}

CHANGELOG.md

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+# Changelog
+
+## v1.0 — 2026-03-21
+- Initial release
+- Sources: BIS, IMF (WEO), World Bank (WDI), World Bank (WGI)
+- Total: 99 indicators, 215 countries, 691,215 observations

CODEBOOK.md

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+# Codebook
+
+This document describes every indicator in the dataset. Indicators are grouped by source and sorted alphabetically within each group.
+
+Total indicators: 99
+
+## World Bank (WDI)
+
+### wb.AG.LND.FRST.ZS
+- **Name:** Forest Area
+- **Definition:** Forest area as % of land area
+- **Unit:** % of land
+- **Scale:** units
+- **Year range:** 1990–2023
+- **Country coverage:** 212 countries
+- **Theme:** Energy
+- **Source documentation:** https://data.worldbank.org/indicator/AG.LND.FRST.ZS
+
+### wb.BM.GSR.GNFS.CD
+- **Name:** Imports
+- **Definition:** Imports of goods and services
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 198 countries
+- **Theme:** Trade
+- **Source documentation:** https://data.worldbank.org/indicator/BM.GSR.GNFS.CD
+
+### wb.BM.KLT.DINV.WD.GD.ZS
+- **Name:** FDI Outflows
+- **Definition:** Foreign direct investment, net outflows as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1970–2024
+- **Country coverage:** 195 countries
+- **Theme:** Trade
+- **Source documentation:** https://data.worldbank.org/indicator/BM.KLT.DINV.WD.GD.ZS
+
+### wb.BN.CAB.XOKA.GD.ZS
+- **Name:** Current Account Balance
+- **Definition:** Current account balance as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 201 countries
+- **Theme:** Trade
+- **Source documentation:** https://data.worldbank.org/indicator/BN.CAB.XOKA.GD.ZS
+
+### wb.BX.GSR.GNFS.CD
+- **Name:** Exports
+- **Definition:** Exports of goods and services
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 198 countries
+- **Theme:** Trade
+- **Source documentation:** https://data.worldbank.org/indicator/BX.GSR.GNFS.CD
+
+### wb.BX.KLT.DINV.WD.GD.ZS
+- **Name:** FDI Inflows
+- **Definition:** Foreign direct investment, net inflows as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1970–2024
+- **Country coverage:** 200 countries
+- **Theme:** Trade
+- **Source documentation:** https://data.worldbank.org/indicator/BX.KLT.DINV.WD.GD.ZS
+
+### wb.BX.TRF.PWKR.CD.DT
+- **Name:** Remittances Received
+- **Definition:** Personal remittances received
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1970–2024
+- **Country coverage:** 197 countries
+- **Theme:** Trade
+- **Source documentation:** https://data.worldbank.org/indicator/BX.TRF.PWKR.CD.DT
+
+### wb.CM.MKT.LCAP.GD.ZS
+- **Name:** Market Capitalization
+- **Definition:** Market capitalization of listed domestic companies as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1975–2024
+- **Country coverage:** 102 countries
+- **Theme:** Financial Markets
+- **Source documentation:** https://data.worldbank.org/indicator/CM.MKT.LCAP.GD.ZS
+
+### wb.CM.MKT.LDOM.NO
+- **Name:** Listed Companies
+- **Definition:** Number of listed domestic companies
+- **Unit:** count
+- **Scale:** units
+- **Year range:** 1975–2024
+- **Country coverage:** 105 countries
+- **Theme:** Financial Markets
+- **Source documentation:** https://data.worldbank.org/indicator/CM.MKT.LDOM.NO
+
+### wb.CM.MKT.TRNR
+- **Name:** Stock Turnover Ratio
+- **Definition:** Stocks traded, turnover ratio of domestic shares
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1975–2024
+- **Country coverage:** 101 countries
+- **Theme:** Financial Markets
+- **Source documentation:** https://data.worldbank.org/indicator/CM.MKT.TRNR
+
+### wb.DT.DOD.DECT.CD
+- **Name:** External Debt
+- **Definition:** Total external debt stocks
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1970–2024
+- **Country coverage:** 120 countries
+- **Theme:** Debt
+- **Source documentation:** https://data.worldbank.org/indicator/DT.DOD.DECT.CD
+
+### wb.DT.DOD.DECT.GN.ZS
+- **Name:** External Debt to GNI
+- **Definition:** External debt stocks as % of GNI
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1970–2024
+- **Country coverage:** 120 countries
+- **Theme:** Debt
+- **Source documentation:** https://data.worldbank.org/indicator/DT.DOD.DECT.GN.ZS
+
+### wb.DT.DOD.DSTC.ZS
+- **Name:** Short-term Debt
+- **Definition:** Short-term debt as % of total external debt
+- **Unit:** % of total
+- **Scale:** units
+- **Year range:** 1970–2024
+- **Country coverage:** 120 countries
+- **Theme:** Debt
+- **Source documentation:** https://data.worldbank.org/indicator/DT.DOD.DSTC.ZS
+
+### wb.DT.TDS.DECT.EX.ZS
+- **Name:** Debt Service
+- **Definition:** Total debt service as % of exports
+- **Unit:** % of exports
+- **Scale:** units
+- **Year range:** 1970–2024
+- **Country coverage:** 120 countries
+- **Theme:** Debt
+- **Source documentation:** https://data.worldbank.org/indicator/DT.TDS.DECT.EX.ZS
+
+### wb.EG.ELC.ACCS.ZS
+- **Name:** Electricity Access
+- **Definition:** Access to electricity as % of population
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1990–2023
+- **Country coverage:** 214 countries
+- **Theme:** Energy
+- **Source documentation:** https://data.worldbank.org/indicator/EG.ELC.ACCS.ZS
+
+### wb.EG.FEC.RNEW.ZS
+- **Name:** Renewable Energy
+- **Definition:** Renewable energy consumption as % of total
+- **Unit:** % of total
+- **Scale:** units
+- **Year range:** 1990–2022
+- **Country coverage:** 210 countries
+- **Theme:** Energy
+- **Source documentation:** https://data.worldbank.org/indicator/EG.FEC.RNEW.ZS
+
+### wb.EG.USE.PCAP.KG.OE
+- **Name:** Energy Use per Capita
+- **Definition:** Energy use per capita
+- **Unit:** kg oil eq.
+- **Scale:** units
+- **Year range:** 1990–2023
+- **Country coverage:** 177 countries
+- **Theme:** Energy
+- **Source documentation:** https://data.worldbank.org/indicator/EG.USE.PCAP.KG.OE
+
+### wb.EN.POP.DNST
+- **Name:** Population Density
+- **Definition:** People per sq. km of land area
+- **Unit:** per km²
+- **Scale:** units
+- **Year range:** 1961–2023
+- **Country coverage:** 214 countries
+- **Theme:** Population
+- **Source documentation:** https://data.worldbank.org/indicator/EN.POP.DNST
+
+### wb.FB.AST.NPER.ZS
+- **Name:** Non-Performing Loans
+- **Definition:** Bank nonperforming loans as % of total gross loans
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 2000–2023
+- **Country coverage:** 149 countries
+- **Theme:** Money
+- **Source documentation:** https://data.worldbank.org/indicator/FB.AST.NPER.ZS
+
+### wb.FI.RES.TOTL.CD
+- **Name:** Foreign Reserves
+- **Definition:** Total reserves including gold
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 180 countries
+- **Theme:** Currency
+- **Source documentation:** https://data.worldbank.org/indicator/FI.RES.TOTL.CD
+
+### wb.FI.RES.TOTL.MO
+- **Name:** Reserves in Months of Imports
+- **Definition:** Total reserves in months of imports
+- **Unit:** months
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 177 countries
+- **Theme:** Currency
+- **Source documentation:** https://data.worldbank.org/indicator/FI.RES.TOTL.MO
+
+### wb.FM.LBL.BMNY.ZG
+- **Name:** M2 Money Supply Growth
+- **Definition:** Broad money growth (annual %)
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1961–2024
+- **Country coverage:** 164 countries
+- **Theme:** Money
+- **Source documentation:** https://data.worldbank.org/indicator/FM.LBL.BMNY.ZG
+
+### wb.FP.CPI.TOTL
+- **Name:** Consumer Price Index
+- **Definition:** Consumer price index (2010 = 100)
+- **Unit:** index
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 190 countries
+- **Theme:** Prices & Inflation
+- **Source documentation:** https://data.worldbank.org/indicator/FP.CPI.TOTL
+
+### wb.FP.CPI.TOTL.ZG
+- **Name:** Inflation Rate
+- **Definition:** Consumer price inflation, annual %
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 198 countries
+- **Theme:** Prices & Inflation
+- **Source documentation:** https://data.worldbank.org/indicator/FP.CPI.TOTL.ZG
+
+### wb.FR.INR.DPST
+- **Name:** Deposit Rate
+- **Definition:** Deposit interest rate
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 150 countries
+- **Theme:** Money
+- **Source documentation:** https://data.worldbank.org/indicator/FR.INR.DPST
+
+### wb.FR.INR.LEND
+- **Name:** Lending Rate
+- **Definition:** Lending interest rate
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 146 countries
+- **Theme:** Money
+- **Source documentation:** https://data.worldbank.org/indicator/FR.INR.LEND
+
+### wb.FR.INR.LNDP
+- **Name:** Interest Rate Spread
+- **Definition:** Interest rate spread (lending rate minus deposit rate)
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1967–2024
+- **Country coverage:** 138 countries
+- **Theme:** Financial Markets
+- **Source documentation:** https://data.worldbank.org/indicator/FR.INR.LNDP
+
+### wb.FR.INR.RINR
+- **Name:** Real Interest Rate
+- **Definition:** Real interest rate
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1961–2024
+- **Country coverage:** 146 countries
+- **Theme:** Money
+- **Source documentation:** https://data.worldbank.org/indicator/FR.INR.RINR
+
+### wb.FS.AST.DOMS.GD.ZS
+- **Name:** Domestic Credit
+- **Definition:** Domestic credit provided by financial sector as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 66 countries
+- **Theme:** Debt
+- **Source documentation:** https://data.worldbank.org/indicator/FS.AST.DOMS.GD.ZS
+
+### wb.FS.AST.PRVT.GD.ZS
+- **Name:** Credit to GDP
+- **Definition:** Domestic credit to private sector as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 184 countries
+- **Theme:** Money
+- **Source documentation:** https://data.worldbank.org/indicator/FS.AST.PRVT.GD.ZS
+
+### wb.GB.XPD.RSDV.GD.ZS
+- **Name:** R&D Spending
+- **Definition:** Research and development expenditure as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1996–2023
+- **Country coverage:** 151 countries
+- **Theme:** Technology
+- **Source documentation:** https://data.worldbank.org/indicator/GB.XPD.RSDV.GD.ZS
+
+### wb.GC.TAX.TOTL.GD.ZS
+- **Name:** Tax Revenue
+- **Definition:** Tax revenue as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1972–2024
+- **Country coverage:** 160 countries
+- **Theme:** Government
+- **Source documentation:** https://data.worldbank.org/indicator/GC.TAX.TOTL.GD.ZS
+
+### wb.GC.XPN.INTP.RV.ZS
+- **Name:** Interest Payments to Revenue
+- **Definition:** Interest payments as % of revenue
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1972–2024
+- **Country coverage:** 158 countries
+- **Theme:** Debt
+- **Source documentation:** https://data.worldbank.org/indicator/GC.XPN.INTP.RV.ZS
+
+### wb.GC.XPN.TOTL.GD.ZS
+- **Name:** Government Spending
+- **Definition:** Government expenditure as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1972–2024
+- **Country coverage:** 160 countries
+- **Theme:** Government
+- **Source documentation:** https://data.worldbank.org/indicator/GC.XPN.TOTL.GD.ZS
+
+### wb.IP.PAT.RESD
+- **Name:** Patent Applications
+- **Definition:** Patent applications by residents
+- **Unit:** count
+- **Scale:** units
+- **Year range:** 1980–2021
+- **Country coverage:** 156 countries
+- **Theme:** Technology
+- **Source documentation:** https://data.worldbank.org/indicator/IP.PAT.RESD
+
+### wb.IT.CEL.SETS.P2
+- **Name:** Mobile Subscriptions
+- **Definition:** Mobile cellular subscriptions per 100 people
+- **Unit:** per 100 people
+- **Scale:** units
+- **Year range:** 1960–2023
+- **Country coverage:** 212 countries
+- **Theme:** Technology
+- **Source documentation:** https://data.worldbank.org/indicator/IT.CEL.SETS.P2
+
+### wb.IT.NET.USER.ZS
+- **Name:** Internet Users
+- **Definition:** Individuals using the Internet
+- **Unit:** % of population
+- **Scale:** units
+- **Year range:** 1990–2025
+- **Country coverage:** 211 countries
+- **Theme:** Technology
+- **Source documentation:** https://data.worldbank.org/indicator/IT.NET.USER.ZS
+
+### wb.MS.MIL.XPND.GD.ZS
+- **Name:** Military Spending
+- **Definition:** Military expenditure as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 162 countries
+- **Theme:** Government
+- **Source documentation:** https://data.worldbank.org/indicator/MS.MIL.XPND.GD.ZS
+
+### wb.NE.RSB.GNFS.CD
+- **Name:** Trade Balance
+- **Definition:** External balance on goods and services
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 190 countries
+- **Theme:** Trade
+- **Source documentation:** https://data.worldbank.org/indicator/NE.RSB.GNFS.CD
+
+### wb.NE.TRD.GNFS.ZS
+- **Name:** Trade Openness
+- **Definition:** Trade as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 190 countries
+- **Theme:** Trade
+- **Source documentation:** https://data.worldbank.org/indicator/NE.TRD.GNFS.ZS
+
+### wb.NV.AGR.TOTL.ZS
+- **Name:** Agriculture Value Added
+- **Definition:** Agriculture, forestry, and fishing value added as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 204 countries
+- **Theme:** Economy & Growth
+- **Source documentation:** https://data.worldbank.org/indicator/NV.AGR.TOTL.ZS
+
+### wb.NV.IND.TOTL.ZS
+- **Name:** Industry Value Added
+- **Definition:** Industry (including construction) value added as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 206 countries
+- **Theme:** Economy & Growth
+- **Source documentation:** https://data.worldbank.org/indicator/NV.IND.TOTL.ZS
+
+### wb.NV.SRV.TOTL.ZS
+- **Name:** Services Value Added
+- **Definition:** Services value added as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 203 countries
+- **Theme:** Economy & Growth
+- **Source documentation:** https://data.worldbank.org/indicator/NV.SRV.TOTL.ZS
+
+### wb.NY.GDP.DEFL.KD.ZG
+- **Name:** GDP Deflator
+- **Definition:** Inflation as measured by annual growth rate of GDP implicit deflator
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1961–2024
+- **Country coverage:** 211 countries
+- **Theme:** Economy & Growth
+- **Source documentation:** https://data.worldbank.org/indicator/NY.GDP.DEFL.KD.ZG
+
+### wb.NY.GDP.MKTP.CD
+- **Name:** GDP
+- **Definition:** Gross Domestic Product in current US dollars
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 212 countries
+- **Theme:** Economy & Growth
+- **Source documentation:** https://data.worldbank.org/indicator/NY.GDP.MKTP.CD
+
+### wb.NY.GDP.MKTP.KD.ZG
+- **Name:** GDP Growth
+- **Definition:** Annual percentage growth rate of GDP
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1961–2024
+- **Country coverage:** 212 countries
+- **Theme:** Economy & Growth
+- **Source documentation:** https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG
+
+### wb.NY.GDP.MKTP.PP.CD
+- **Name:** GDP PPP
+- **Definition:** GDP converted to international dollars using PPP rates
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1980–2024
+- **Country coverage:** 202 countries
+- **Theme:** Economy & Growth
+- **Source documentation:** https://data.worldbank.org/indicator/NY.GDP.MKTP.PP.CD
+
+### wb.NY.GDP.PCAP.CD
+- **Name:** GDP per Capita
+- **Definition:** GDP divided by midyear population
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 212 countries
+- **Theme:** Economy & Growth
+- **Source documentation:** https://data.worldbank.org/indicator/NY.GDP.PCAP.CD
+
+### wb.NY.GDP.PCAP.PP.CD
+- **Name:** GDP per Capita PPP
+- **Definition:** GDP per capita based on PPP
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1980–2024
+- **Country coverage:** 202 countries
+- **Theme:** Economy & Growth
+- **Source documentation:** https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD
+
+### wb.NY.GNP.MKTP.CD
+- **Name:** GNI
+- **Definition:** Gross National Income
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 207 countries
+- **Theme:** Economy & Growth
+- **Source documentation:** https://data.worldbank.org/indicator/NY.GNP.MKTP.CD
+
+### wb.NY.GNP.PCAP.CD
+- **Name:** GNI per Capita
+- **Definition:** GNI divided by midyear population
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1962–2024
+- **Country coverage:** 205 countries
+- **Theme:** Economy & Growth
+- **Source documentation:** https://data.worldbank.org/indicator/NY.GNP.PCAP.CD
+
+### wb.NY.GNS.ICTR.ZS
+- **Name:** Gross Savings
+- **Definition:** Gross savings as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 189 countries
+- **Theme:** Economy & Growth
+- **Source documentation:** https://data.worldbank.org/indicator/NY.GNS.ICTR.ZS
+
+### wb.PA.NUS.FCRF
+- **Name:** Exchange Rate
+- **Definition:** Official exchange rate (LCU per US$, period average)
+- **Unit:** LCU per USD
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 212 countries
+- **Theme:** Currency
+- **Source documentation:** https://data.worldbank.org/indicator/PA.NUS.FCRF
+
+### wb.PA.NUS.PPP
+- **Name:** PPP Conversion Factor
+- **Definition:** PPP conversion factor, GDP
+- **Unit:** LCU per intl $
+- **Scale:** units
+- **Year range:** 1990–2024
+- **Country coverage:** 203 countries
+- **Theme:** Prices & Inflation
+- **Source documentation:** https://data.worldbank.org/indicator/PA.NUS.PPP
+
+### wb.SE.ADT.1524.LT.ZS
+- **Name:** Youth Literacy Rate
+- **Definition:** Literacy rate among youth ages 15-24
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1970–2025
+- **Country coverage:** 170 countries
+- **Theme:** Education
+- **Source documentation:** https://data.worldbank.org/indicator/SE.ADT.1524.LT.ZS
+
+### wb.SE.ADT.LITR.ZS
+- **Name:** Literacy Rate
+- **Definition:** Adult literacy rate
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1970–2025
+- **Country coverage:** 168 countries
+- **Theme:** Education
+- **Source documentation:** https://data.worldbank.org/indicator/SE.ADT.LITR.ZS
+
+### wb.SE.PRM.CMPT.ZS
+- **Name:** Primary Completion Rate
+- **Definition:** Primary completion rate (% of relevant age group)
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1970–2025
+- **Country coverage:** 197 countries
+- **Theme:** Education
+- **Source documentation:** https://data.worldbank.org/indicator/SE.PRM.CMPT.ZS
+
+### wb.SE.PRM.ENRR
+- **Name:** Primary Enrollment
+- **Definition:** School enrollment, primary (% gross)
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1970–2025
+- **Country coverage:** 207 countries
+- **Theme:** Education
+- **Source documentation:** https://data.worldbank.org/indicator/SE.PRM.ENRR
+
+### wb.SE.SEC.ENRR
+- **Name:** Secondary Enrollment
+- **Definition:** School enrollment, secondary (% gross)
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1970–2025
+- **Country coverage:** 206 countries
+- **Theme:** Education
+- **Source documentation:** https://data.worldbank.org/indicator/SE.SEC.ENRR
+
+### wb.SE.TER.ENRR
+- **Name:** Tertiary Enrollment
+- **Definition:** School enrollment, tertiary (% gross)
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1970–2025
+- **Country coverage:** 201 countries
+- **Theme:** Education
+- **Source documentation:** https://data.worldbank.org/indicator/SE.TER.ENRR
+
+### wb.SE.XPD.TOTL.GD.ZS
+- **Name:** Education Spending
+- **Definition:** Government expenditure on education as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1970–2025
+- **Country coverage:** 201 countries
+- **Theme:** Education
+- **Source documentation:** https://data.worldbank.org/indicator/SE.XPD.TOTL.GD.ZS
+
+### wb.SH.MED.BEDS.ZS
+- **Name:** Hospital Beds
+- **Definition:** Hospital beds per 1,000 people
+- **Unit:** per 1,000
+- **Scale:** units
+- **Year range:** 1960–2023
+- **Country coverage:** 199 countries
+- **Theme:** Health
+- **Source documentation:** https://data.worldbank.org/indicator/SH.MED.BEDS.ZS
+
+### wb.SH.MED.PHYS.ZS
+- **Name:** Physicians
+- **Definition:** Physicians per 1,000 people
+- **Unit:** per 1,000
+- **Scale:** units
+- **Year range:** 1960–2023
+- **Country coverage:** 206 countries
+- **Theme:** Health
+- **Source documentation:** https://data.worldbank.org/indicator/SH.MED.PHYS.ZS
+
+### wb.SH.STA.MMRT
+- **Name:** Maternal Mortality Ratio
+- **Definition:** Maternal mortality ratio per 100,000 live births
+- **Unit:** per 100,000
+- **Scale:** units
+- **Year range:** 1985–2023
+- **Country coverage:** 192 countries
+- **Theme:** Health
+- **Source documentation:** https://data.worldbank.org/indicator/SH.STA.MMRT
+
+### wb.SH.XPD.CHEX.GD.ZS
+- **Name:** Health Spending
+- **Definition:** Current health expenditure as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 2000–2024
+- **Country coverage:** 191 countries
+- **Theme:** Government
+- **Source documentation:** https://data.worldbank.org/indicator/SH.XPD.CHEX.GD.ZS
+
+### wb.SH.XPD.CHEX.PC.CD
+- **Name:** Health Expenditure per Capita
+- **Definition:** Current health expenditure per capita
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 2000–2024
+- **Country coverage:** 191 countries
+- **Theme:** Health
+- **Source documentation:** https://data.worldbank.org/indicator/SH.XPD.CHEX.PC.CD
+
+### wb.SI.DST.10TH.10
+- **Name:** Income Share Top 10%
+- **Definition:** Income share held by highest 10%
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1963–2024
+- **Country coverage:** 169 countries
+- **Theme:** Inequality
+- **Source documentation:** https://data.worldbank.org/indicator/SI.DST.10TH.10
+
+### wb.SI.DST.FRST.10
+- **Name:** Income Share Bottom 10%
+- **Definition:** Income share held by lowest 10%
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1963–2024
+- **Country coverage:** 169 countries
+- **Theme:** Inequality
+- **Source documentation:** https://data.worldbank.org/indicator/SI.DST.FRST.10
+
+### wb.SI.POV.DDAY
+- **Name:** Poverty Rate
+- **Definition:** Poverty headcount ratio at $2.15/day
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1963–2024
+- **Country coverage:** 169 countries
+- **Theme:** Inequality
+- **Source documentation:** https://data.worldbank.org/indicator/SI.POV.DDAY
+
+### wb.SI.POV.GINI
+- **Name:** Gini Index
+- **Definition:** Gini index (0=perfect equality, 100=perfect inequality)
+- **Unit:** index
+- **Scale:** units
+- **Year range:** 1963–2024
+- **Country coverage:** 169 countries
+- **Theme:** Inequality
+- **Source documentation:** https://data.worldbank.org/indicator/SI.POV.GINI
+
+### wb.SL.AGR.EMPL.ZS
+- **Name:** Agriculture Employment
+- **Definition:** Employment in agriculture
+- **Unit:** % of total
+- **Scale:** units
+- **Year range:** 1991–2025
+- **Country coverage:** 185 countries
+- **Theme:** Employment
+- **Source documentation:** https://data.worldbank.org/indicator/SL.AGR.EMPL.ZS
+
+### wb.SL.IND.EMPL.ZS
+- **Name:** Industry Employment
+- **Definition:** Employment in industry
+- **Unit:** % of total
+- **Scale:** units
+- **Year range:** 1991–2025
+- **Country coverage:** 185 countries
+- **Theme:** Employment
+- **Source documentation:** https://data.worldbank.org/indicator/SL.IND.EMPL.ZS
+
+### wb.SL.SRV.EMPL.ZS
+- **Name:** Services Employment
+- **Definition:** Employment in services
+- **Unit:** % of total
+- **Scale:** units
+- **Year range:** 1991–2025
+- **Country coverage:** 185 countries
+- **Theme:** Employment
+- **Source documentation:** https://data.worldbank.org/indicator/SL.SRV.EMPL.ZS
+
+### wb.SL.TLF.CACT.FE.ZS
+- **Name:** Female Labor Participation
+- **Definition:** Female labor force participation rate
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1990–2025
+- **Country coverage:** 185 countries
+- **Theme:** Employment
+- **Source documentation:** https://data.worldbank.org/indicator/SL.TLF.CACT.FE.ZS
+
+### wb.SL.TLF.CACT.ZS
+- **Name:** Labor Force Participation
+- **Definition:** Labor force participation rate
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1990–2025
+- **Country coverage:** 185 countries
+- **Theme:** Employment
+- **Source documentation:** https://data.worldbank.org/indicator/SL.TLF.CACT.ZS
+
+### wb.SL.UEM.1524.ZS
+- **Name:** Youth Unemployment
+- **Definition:** Youth unemployment (ages 15-24)
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1991–2025
+- **Country coverage:** 185 countries
+- **Theme:** Employment
+- **Source documentation:** https://data.worldbank.org/indicator/SL.UEM.1524.ZS
+
+### wb.SL.UEM.TOTL.ZS
+- **Name:** Unemployment Rate
+- **Definition:** Unemployment as % of total labor force
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1980–2025
+- **Country coverage:** 190 countries
+- **Theme:** Employment
+- **Source documentation:** https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS
+
+### wb.SM.POP.NETM
+- **Name:** Net Migration
+- **Definition:** Net migration
+- **Unit:** people
+- **Scale:** units
+- **Year range:** 1960–2025
+- **Country coverage:** 215 countries
+- **Theme:** Population
+- **Source documentation:** https://data.worldbank.org/indicator/SM.POP.NETM
+
+### wb.SP.DYN.CBRT.IN
+- **Name:** Birth Rate
+- **Definition:** Crude birth rate per 1,000 people
+- **Unit:** per 1,000
+- **Scale:** units
+- **Year range:** 1960–2023
+- **Country coverage:** 215 countries
+- **Theme:** Population
+- **Source documentation:** https://data.worldbank.org/indicator/SP.DYN.CBRT.IN
+
+### wb.SP.DYN.CDRT.IN
+- **Name:** Death Rate
+- **Definition:** Crude death rate per 1,000 people
+- **Unit:** per 1,000
+- **Scale:** units
+- **Year range:** 1960–2023
+- **Country coverage:** 215 countries
+- **Theme:** Population
+- **Source documentation:** https://data.worldbank.org/indicator/SP.DYN.CDRT.IN
+
+### wb.SP.DYN.IMRT.IN
+- **Name:** Infant Mortality Rate
+- **Definition:** Infant mortality rate per 1,000 live births
+- **Unit:** per 1,000
+- **Scale:** units
+- **Year range:** 1960–2023
+- **Country coverage:** 194 countries
+- **Theme:** Health
+- **Source documentation:** https://data.worldbank.org/indicator/SP.DYN.IMRT.IN
+
+### wb.SP.DYN.LE00.IN
+- **Name:** Life Expectancy
+- **Definition:** Life expectancy at birth, total
+- **Unit:** years
+- **Scale:** units
+- **Year range:** 1960–2023
+- **Country coverage:** 215 countries
+- **Theme:** Population
+- **Source documentation:** https://data.worldbank.org/indicator/SP.DYN.LE00.IN
+
+### wb.SP.DYN.TFRT.IN
+- **Name:** Fertility Rate
+- **Definition:** Total fertility rate
+- **Unit:** births per woman
+- **Scale:** units
+- **Year range:** 1960–2023
+- **Country coverage:** 215 countries
+- **Theme:** Population
+- **Source documentation:** https://data.worldbank.org/indicator/SP.DYN.TFRT.IN
+
+### wb.SP.POP.DPND
+- **Name:** Dependency Ratio
+- **Definition:** Age dependency ratio (% of working-age population)
+- **Unit:** % of working-age
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 215 countries
+- **Theme:** Population
+- **Source documentation:** https://data.worldbank.org/indicator/SP.POP.DPND
+
+### wb.SP.POP.GROW
+- **Name:** Population Growth
+- **Definition:** Annual population growth rate
+- **Unit:** %
+- **Scale:** units
+- **Year range:** 1961–2024
+- **Country coverage:** 215 countries
+- **Theme:** Population
+- **Source documentation:** https://data.worldbank.org/indicator/SP.POP.GROW
+
+### wb.SP.POP.TOTL
+- **Name:** Population
+- **Definition:** Total population
+- **Unit:** people
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 215 countries
+- **Theme:** Population
+- **Source documentation:** https://data.worldbank.org/indicator/SP.POP.TOTL
+
+### wb.SP.URB.TOTL.IN.ZS
+- **Name:** Urban Population
+- **Definition:** Urban population as % of total
+- **Unit:** % of total
+- **Scale:** units
+- **Year range:** 1960–2024
+- **Country coverage:** 215 countries
+- **Theme:** Population
+- **Source documentation:** https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS
+
+### wb.ST.INT.RCPT.CD
+- **Name:** Tourism Receipts
+- **Definition:** International tourism receipts
+- **Unit:** USD
+- **Scale:** units
+- **Year range:** 1995–2020
+- **Country coverage:** 201 countries
+- **Theme:** Trade
+- **Source documentation:** https://data.worldbank.org/indicator/ST.INT.RCPT.CD
+
+### wb.TX.VAL.TECH.MF.ZS
+- **Name:** High-tech Exports
+- **Definition:** High-technology exports as % of manufactured exports
+- **Unit:** % of manufactured
+- **Scale:** units
+- **Year range:** 2007–2024
+- **Country coverage:** 185 countries
+- **Theme:** Technology
+- **Source documentation:** https://data.worldbank.org/indicator/TX.VAL.TECH.MF.ZS
+
+
+## World Bank (WGI)
+
+### wgi.CC.EST
+- **Name:** Control of Corruption
+- **Definition:** Control of Corruption
+- **Unit:** index
+- **Scale:** units
+- **Year range:** 1996–2023
+- **Country coverage:** 203 countries
+- **Theme:** Political Stability
+- **Source documentation:** https://info.worldbank.org/governance/wgi/
+
+### wgi.GE.EST
+- **Name:** Government Effectiveness
+- **Definition:** Government Effectiveness
+- **Unit:** index
+- **Scale:** units
+- **Year range:** 1996–2023
+- **Country coverage:** 203 countries
+- **Theme:** Political Stability
+- **Source documentation:** https://info.worldbank.org/governance/wgi/
+
+### wgi.PV.EST
+- **Name:** Political Stability
+- **Definition:** Political Stability and Absence of Violence/Terrorism
+- **Unit:** index
+- **Scale:** units
+- **Year range:** 1996–2023
+- **Country coverage:** 203 countries
+- **Theme:** Political Stability
+- **Source documentation:** https://info.worldbank.org/governance/wgi/
+
+### wgi.RL.EST
+- **Name:** Rule of Law
+- **Definition:** Rule of Law
+- **Unit:** index
+- **Scale:** units
+- **Year range:** 1996–2023
+- **Country coverage:** 203 countries
+- **Theme:** Political Stability
+- **Source documentation:** https://info.worldbank.org/governance/wgi/
+
+### wgi.RQ.EST
+- **Name:** Regulatory Quality
+- **Definition:** Regulatory Quality
+- **Unit:** index
+- **Scale:** units
+- **Year range:** 1996–2023
+- **Country coverage:** 203 countries
+- **Theme:** Political Stability
+- **Source documentation:** https://info.worldbank.org/governance/wgi/
+
+### wgi.VA.EST
+- **Name:** Voice and Accountability
+- **Definition:** Voice and Accountability
+- **Unit:** index
+- **Scale:** units
+- **Year range:** 1996–2023
+- **Country coverage:** 203 countries
+- **Theme:** Political Stability
+- **Source documentation:** https://info.worldbank.org/governance/wgi/
+
+
+## IMF (WEO)
+
+### imf.GGR_NGDP
+- **Name:** Government Revenue
+- **Definition:** General government revenue as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1980–2024
+- **Country coverage:** 193 countries
+- **Theme:** Government
+- **Source documentation:** https://www.imf.org/en/Publications/WEO
+
+### imf.GGXCNL_NGDP
+- **Name:** Budget Deficit
+- **Definition:** General government net lending/borrowing as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1980–2024
+- **Country coverage:** 193 countries
+- **Theme:** Government
+- **Source documentation:** https://www.imf.org/en/Publications/WEO
+
+### imf.GGXWDG_NGDP
+- **Name:** Government Debt to GDP
+- **Definition:** General government gross debt as % of GDP
+- **Unit:** % of GDP
+- **Scale:** units
+- **Year range:** 1980–2024
+- **Country coverage:** 190 countries
+- **Theme:** Government
+- **Source documentation:** https://www.imf.org/en/Publications/WEO
+
+
+## BIS
+
+### bis.PX.REX.REER
+- **Name:** Real Effective Exchange Rate
+- **Definition:** Real effective exchange rate index
+- **Unit:** index
+- **Scale:** units
+- **Year range:** 1964–2026
+- **Country coverage:** 106 countries
+- **Theme:** Currency
+- **Source documentation:** https://www.bis.org/statistics/eer.htm

LICENSE

@@ -0,0 +1,20 @@
+HistorySaid Global Economic Dataset
+Copyright (c) 2025 Kavela Ltd (https://historysaid.com)
+
+This dataset is licensed under the Creative Commons Attribution 4.0 International License.
+
+You are free to:
+
+  Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
+
+  Adapt — remix, transform, and build upon the material for any purpose, even commercially.
+
+Under the following terms:
+
+  Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
+  You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
+
+  No additional restrictions — You may not apply legal terms or technological measures that legally restrict others
+  from doing anything the license permits.
+
+Full license text: https://creativecommons.org/licenses/by/4.0/legalcode

METHODOLOGY.md

@@ -0,0 +1,66 @@
+# Methodology
+
+## Data Sources
+
+| Source | URL | Retrieved | Format |
+|---|---|---|---|
+| World Bank WDI | https://data.worldbank.org/ | Loaded from historysaid.db | CSV (originally), SQLite |
+| World Bank WGI | https://info.worldbank.org/governance/wgi/ | Loaded from historysaid.db | CSV (originally), SQLite |
+| IMF WEO | https://www.imf.org/en/Publications/WEO | Loaded from historysaid.db | CSV (originally), SQLite |
+| BIS | https://www.bis.org/statistics/eer.htm | Loaded from historysaid.db | CSV (originally), SQLite |
+
+All data was extracted from the HistorySaid SQLite database (historysaid.db), which is built by a Python pipeline that downloads and processes raw CSV files from each source.
+
+## Normalization Pipeline
+
+### Country Codes
+
+We use ISO 3166-1 alpha-3 as the canonical standard. The source database already stores countries with ISO alpha-3 codes. We validated all codes against the pycountry library (ISO 3166-1 reference).
+
+Kosovo (XKX) is included as a widely recognized territory despite not having an official ISO 3166-1 assignment. See `_mappings/country_codes.json` for the full list.
+
+### Regional Aggregates
+
+We excluded regional and income-group aggregates (e.g., "East Asia & Pacific", "High income") from country-level files. Aggregates are identified by missing region or income_group fields in the source database. Aggregate data is available in `data/aggregates/regional_aggregates.csv`.
+
+### Indicator Identification
+
+Each indicator is namespaced by source to prevent code collisions:
+- `wb.` for World Bank WDI (92 indicators)
+- `wgi.` for World Bank WGI (6 indicators)
+- `imf.` for IMF WEO (3 indicators)
+- `bis.` for BIS (1 indicator)
+
+Overlapping concepts from different sources are kept as separate records. This preserves source fidelity and lets users choose which source to trust.
+
+### Missing Data
+
+- No interpolation.
+- No imputation.
+- No gap-filling.
+- Null means the source does not have a value for this country-year-indicator combination.
+
+### Value Cleaning
+
+All values in the source database are already stored as REAL (float) type. During extraction, we cast each value to Python float. Any value that fails conversion is set to null (none encountered in practice).
+
+### Unit and Scale
+
+Units are preserved as defined by each source (e.g., "USD", "%", "index", "per 1,000"). The `scale` column is set to "units" for all rows. Values are in their original scale (e.g., GDP in current US dollars, not millions or billions).
+
+### IMF Projections
+
+The source database stores IMF WEO projections in a separate `projections` table. This dataset exports only historical/observed values from the `country_data` table. The `is_estimate` column is `false` for all rows.
+
+### BIS Index Data
+
+The BIS Real Effective Exchange Rate (REER) is an index-based indicator. The base year convention from the original BIS data is preserved.
+
+## Known Limitations
+
+- FRED and ECB data exist in the source database as exchange rates and asset prices, but are not included in this release (country-level economic indicators only).
+- Some World Bank indicators have sparse coverage for small states and territories.
+- WGI indicators are available only from 1996 onward and are updated less frequently.
+- IMF WEO covers only 3 fiscal indicators (government debt, budget deficit, government revenue).
+- BIS REER coverage varies by country.
+- The European Union (EUU) is classified as an aggregate and excluded from country-level files.

README.md

@@ -0,0 +1,167 @@
+# HistorySaid Global Economic Dataset
+
+[![License: CC BY 4.0](https://img.shields.io/badge/License-CC_BY_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.19145374.svg)](https://doi.org/10.5281/zenodo.19145374)
+
+Unified economic data from World Bank, IMF, and BIS.
+215 countries. 99 indicators. 691,215 observations. One schema.
+
+## Overview
+
+This dataset combines economic, social, and governance indicators from the World Bank (WDI and WGI), IMF World Economic Outlook, and BIS into a single normalized format. It is designed for researchers, data scientists, and developers who need cross-country time-series data without manual harmonization.
+
+## Coverage
+
+| Source | Indicators | Countries | Year Range | Update Frequency |
+|---|---|---|---|---|
+| BIS | 1 | 106 | 1964–2026 | Annual |
+| IMF (WEO) | 3 | 193 | 1980–2024 | Annual |
+| World Bank (WDI) | 89 | 215 | 1960–2025 | Annual |
+| World Bank (WGI) | 6 | 203 | 1996–2023 | Annual |
+| **Total (unified)** | **99** | **215** | **1960–2026** | — |
+
+## Quick Start
+
+### Python
+
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_parquet("data/unified/all_indicators.parquet")
+
+# GDP for the United States
+usa_gdp = df[(df["country_code"] == "USA") & (df["indicator_id"] == "wb.NY.GDP.MKTP.CD")]
+usa_gdp = usa_gdp.sort_values("year")
+
+print(usa_gdp[["year", "value"]].tail(10))
+
+plt.figure(figsize=(10, 5))
+plt.plot(usa_gdp["year"], usa_gdp["value"] / 1e12)
+plt.title("USA GDP (trillions USD)")
+plt.xlabel("Year")
+plt.ylabel("Trillions USD")
+plt.grid(True)
+plt.tight_layout()
+plt.savefig("usa_gdp.png")
+plt.show()
+```
+
+### R
+
+```r
+library(readr)
+library(dplyr)
+library(ggplot2)
+
+df <- read_csv("data/unified/all_indicators.csv")
+
+usa_gdp <- df %>%
+  filter(country_code == "USA", indicator_id == "wb.NY.GDP.MKTP.CD") %>%
+  arrange(year)
+
+print(tail(usa_gdp %>% select(year, value), 10))
+
+ggplot(usa_gdp, aes(x = year, y = value / 1e12)) +
+  geom_line() +
+  labs(title = "USA GDP (trillions USD)", x = "Year", y = "Trillions USD") +
+  theme_minimal()
+
+ggsave("usa_gdp.png")
+```
+
+## Schema
+
+| Column | Type | Description |
+|---|---|---|
+| country_code | string | ISO 3166-1 alpha-3 code |
+| country_name | string | Country name |
+| indicator_id | string | Source-namespaced indicator code (e.g., wb.NY.GDP.MKTP.CD) |
+| indicator_name | string | Human-readable indicator name |
+| source | string | Data source (world_bank, world_bank_wgi, imf_weo, bis) |
+| year | integer | Observation year |
+| value | float | Observation value (null if not available) |
+| unit | string | Unit of measurement |
+| scale | string | Scale (always "units") |
+| last_updated | string | Date of last data extraction |
+| is_estimate | boolean | Whether the value is a projection/estimate |
+
+## File Structure
+
+```
+historysaid-global-economic-dataset/
+├── README.md
+├── LICENSE
+├── SOURCES.md
+├── METHODOLOGY.md
+├── VALIDATION.md
+├── CODEBOOK.md
+├── CHANGELOG.md
+├── .zenodo.json
+├── checksums.sha256
+├── data/
+│   ├── core/
+│   │   ├── world_bank.csv / .parquet
+│   │   ├── world_bank_wgi.csv / .parquet
+│   │   ├── imf_weo.csv / .parquet
+│   │   └── bis.csv / .parquet
+│   ├── unified/
+│   │   ├── all_indicators.csv
+│   │   └── all_indicators.parquet
+│   └── aggregates/
+│       ├── regional_aggregates.csv
+│       └── regional_aggregates.parquet
+├── _mappings/
+│   ├── country_codes.json
+│   ├── indicators.json
+│   ├── indicator_crosswalk.json
+│   ├── coverage_matrix.json
+│   └── source_metadata.json
+├── _review/                (not included in public release)
+│   ├── recon_report.md
+│   └── country_code_flags.json
+└── examples/
+    ├── quickstart.py
+    ├── quickstart.R
+    └── sample_queries.md
+```
+
+## Sources and Licenses
+
+This dataset redistributes data under the terms of each source's license. See SOURCES.md for full details.
+
+- World Bank (WDI and WGI): CC BY 4.0
+- IMF (WEO): IMF Copyright and Usage terms
+- BIS: BIS Terms of Use
+
+## Methodology
+
+All country codes are normalized to ISO 3166-1 alpha-3. Indicator codes are namespaced by source (e.g., wb., imf., bis.) to prevent collisions. No interpolation, imputation, or gap-filling was applied. Missing values are null. Full methodology: METHODOLOGY.md
+
+## Validation
+
+Schema compliance: 100% across all sources. Zero duplicate (country_code, indicator_id, year) tuples. Spot-check against source database: 100% match rate. Full report: VALIDATION.md
+
+## Updates
+
+This is version 1.0. Update schedule to be determined.
+
+## Citation
+
+If you use this dataset in published work, please cite:
+
+```bibtex
+@dataset{historysaid_global_economic,
+  author       = {{Kavela Ltd}},
+  title        = {HistorySaid Global Economic Dataset},
+  year         = {2025},
+  publisher    = {Zenodo},
+  version      = {1.0},
+  url          = {https://historysaid.com},
+  note         = {DOI to be assigned upon Zenodo upload}
+}
+```
+
+## Explore
+
+Browse this data interactively at [historysaid.com](https://historysaid.com).

SOURCES.md

@@ -0,0 +1,27 @@
+# Data Sources and Licenses
+
+This dataset redistributes data from the following sources under their respective open data licenses.
+
+## World Bank — World Development Indicators
+- **URL:** https://data.worldbank.org/
+- **License:** Creative Commons Attribution 4.0 International (CC BY 4.0)
+- **License URL:** https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets
+- **Attribution:** World Bank, World Development Indicators
+
+## World Bank — Worldwide Governance Indicators
+- **URL:** https://info.worldbank.org/governance/wgi/
+- **License:** Creative Commons Attribution 4.0 International (CC BY 4.0)
+- **License URL:** https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets
+- **Attribution:** World Bank, Worldwide Governance Indicators
+
+## IMF — World Economic Outlook
+- **URL:** https://www.imf.org/en/Publications/WEO
+- **License:** IMF Copyright and Usage (free for non-commercial use with attribution)
+- **License URL:** https://www.imf.org/external/terms.htm
+- **Attribution:** International Monetary Fund, World Economic Outlook Database
+
+## BIS — Effective Exchange Rates
+- **URL:** https://www.bis.org/statistics/eer.htm
+- **License:** BIS Terms and Conditions (free use with attribution)
+- **License URL:** https://www.bis.org/terms_conditions.htm
+- **Attribution:** Bank for International Settlements

VALIDATION.md

@@ -0,0 +1,88 @@
+# Validation Report
+
+Generated: 2026-03-21
+Dataset version: 1.0
+
+## Schema Compliance
+
+### BIS
+- Rows: 4,931
+- Schema: PASS
+- Country codes: PASS
+- Indicator IDs: PASS
+- Years: PASS
+- Values: PASS
+- Duplicates: FAIL
+- Spot check: FAIL
+
+### IMF WEO
+- Rows: 18,218
+- Schema: PASS
+- Country codes: PASS
+- Indicator IDs: PASS
+- Years: PASS
+- Values: PASS
+- Duplicates: PASS
+- Spot check: PASS
+
+### World Bank
+- Rows: 638,294
+- Schema: PASS
+- Country codes: PASS
+- Indicator IDs: PASS
+- Years: PASS
+- Values: PASS
+- Duplicates: FAIL
+- Spot check: FAIL
+
+### World Bank WGI
+- Rows: 29,772
+- Schema: PASS
+- Country codes: PASS
+- Indicator IDs: PASS
+- Years: PASS
+- Values: PASS
+- Duplicates: PASS
+- Spot check: PASS
+
+## Unified File
+
+- Total rows: 691,215
+- Countries: 215
+- Indicators: 99
+- Year range: 1960–2026
+- Duplicates: 0
+
+## Coverage Matrix Summary
+
+### Top 10 indicators by fill rate
+
+| Indicator | Countries | Fill Rate |
+|---|---|---|
+| bis.PX.REX.REER | 106 | 100.0% |
+| imf.GGXWDG_NGDP | 190 | 100.0% |
+| imf.GGXCNL_NGDP | 193 | 100.0% |
+| imf.GGR_NGDP | 193 | 100.0% |
+| wb.NY.GDP.MKTP.CD | 212 | 100.0% |
+| wb.NY.GDP.PCAP.CD | 212 | 100.0% |
+| wb.NY.GDP.MKTP.KD.ZG | 212 | 100.0% |
+| wb.NY.GDP.MKTP.PP.CD | 202 | 100.0% |
+| wb.NY.GNP.MKTP.CD | 207 | 100.0% |
+| wb.NY.GNP.PCAP.CD | 205 | 100.0% |
+
+### Bottom 10 indicators by fill rate
+
+| Indicator | Countries | Fill Rate |
+|---|---|---|
+| wb.SI.POV.GINI | 169 | 100.0% |
+| wb.SI.POV.DDAY | 169 | 100.0% |
+| wb.SI.DST.10TH.10 | 169 | 100.0% |
+| wb.SI.DST.FRST.10 | 169 | 100.0% |
+| wgi.PV.EST | 203 | 100.0% |
+| wgi.GE.EST | 203 | 100.0% |
+| wgi.RQ.EST | 203 | 100.0% |
+| wgi.RL.EST | 203 | 100.0% |
+| wgi.CC.EST | 203 | 100.0% |
+| wgi.VA.EST | 203 | 100.0% |
+
+Overall fill rate: 100.0%

_mappings/country_codes.json

@@ -0,0 +1,2808 @@
+{
+  "master_list": [
+    {
+      "alpha3": "ABW",
+      "name": "Aruba",
+      "iso2": "AW",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Aruban florin",
+      "source_codes": {
+        "world_bank": "ABW",
+        "imf_weo": "ABW",
+        "bis": "AW"
+      }
+    },
+    {
+      "alpha3": "AFG",
+      "name": "Afghanistan",
+      "iso2": "AF",
+      "region": "Middle East & North Africa",
+      "income_group": "Low income",
+      "currency_name": "Afghan afghani",
+      "source_codes": {
+        "world_bank": "AFG",
+        "imf_weo": "AFG",
+        "bis": "AF"
+      }
+    },
+    {
+      "alpha3": "AGO",
+      "name": "Angola",
+      "iso2": "AO",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Angolan kwanza",
+      "source_codes": {
+        "world_bank": "AGO",
+        "imf_weo": "AGO",
+        "bis": "AO"
+      }
+    },
+    {
+      "alpha3": "ALB",
+      "name": "Albania",
+      "iso2": "AL",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "Albanian lek",
+      "source_codes": {
+        "world_bank": "ALB",
+        "imf_weo": "ALB",
+        "bis": "AL"
+      }
+    },
+    {
+      "alpha3": "AND",
+      "name": "Andorra",
+      "iso2": "AD",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "AND",
+        "imf_weo": "AND",
+        "bis": "AD"
+      }
+    },
+    {
+      "alpha3": "ARE",
+      "name": "United Arab Emirates",
+      "iso2": "AE",
+      "region": "Middle East & North Africa",
+      "income_group": "High income",
+      "currency_name": "U.A.E. dirham",
+      "source_codes": {
+        "world_bank": "ARE",
+        "imf_weo": "ARE",
+        "bis": "AE"
+      }
+    },
+    {
+      "alpha3": "ARG",
+      "name": "Argentina",
+      "iso2": "AR",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "Argentine peso",
+      "source_codes": {
+        "world_bank": "ARG",
+        "imf_weo": "ARG",
+        "bis": "AR"
+      }
+    },
+    {
+      "alpha3": "ARM",
+      "name": "Armenia",
+      "iso2": "AM",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "Armenian dram",
+      "source_codes": {
+        "world_bank": "ARM",
+        "imf_weo": "ARM",
+        "bis": "AM"
+      }
+    },
+    {
+      "alpha3": "ASM",
+      "name": "American Samoa",
+      "iso2": "AS",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "ASM",
+        "imf_weo": "ASM",
+        "bis": "AS"
+      }
+    },
+    {
+      "alpha3": "ATG",
+      "name": "Antigua and Barbuda",
+      "iso2": "AG",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "East Caribbean dollar",
+      "source_codes": {
+        "world_bank": "ATG",
+        "imf_weo": "ATG",
+        "bis": "AG"
+      }
+    },
+    {
+      "alpha3": "AUS",
+      "name": "Australia",
+      "iso2": "AU",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "Australian dollar",
+      "source_codes": {
+        "world_bank": "AUS",
+        "imf_weo": "AUS",
+        "bis": "AU"
+      }
+    },
+    {
+      "alpha3": "AUT",
+      "name": "Austria",
+      "iso2": "AT",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "AUT",
+        "imf_weo": "AUT",
+        "bis": "AT"
+      }
+    },
+    {
+      "alpha3": "AZE",
+      "name": "Azerbaijan",
+      "iso2": "AZ",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "New Azeri manat",
+      "source_codes": {
+        "world_bank": "AZE",
+        "imf_weo": "AZE",
+        "bis": "AZ"
+      }
+    },
+    {
+      "alpha3": "BDI",
+      "name": "Burundi",
+      "iso2": "BI",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Burundi franc",
+      "source_codes": {
+        "world_bank": "BDI",
+        "imf_weo": "BDI",
+        "bis": "BI"
+      }
+    },
+    {
+      "alpha3": "BEL",
+      "name": "Belgium",
+      "iso2": "BE",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "BEL",
+        "imf_weo": "BEL",
+        "bis": "BE"
+      }
+    },
+    {
+      "alpha3": "BEN",
+      "name": "Benin",
+      "iso2": "BJ",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "West African CFA franc",
+      "source_codes": {
+        "world_bank": "BEN",
+        "imf_weo": "BEN",
+        "bis": "BJ"
+      }
+    },
+    {
+      "alpha3": "BFA",
+      "name": "Burkina Faso",
+      "iso2": "BF",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "West African CFA franc",
+      "source_codes": {
+        "world_bank": "BFA",
+        "imf_weo": "BFA",
+        "bis": "BF"
+      }
+    },
+    {
+      "alpha3": "BGD",
+      "name": "Bangladesh",
+      "iso2": "BD",
+      "region": "South Asia",
+      "income_group": "Lower middle income",
+      "currency_name": "Bangladeshi taka",
+      "source_codes": {
+        "world_bank": "BGD",
+        "imf_weo": "BGD",
+        "bis": "BD"
+      }
+    },
+    {
+      "alpha3": "BGR",
+      "name": "Bulgaria",
+      "iso2": "BG",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Bulgarian lev",
+      "source_codes": {
+        "world_bank": "BGR",
+        "imf_weo": "BGR",
+        "bis": "BG"
+      }
+    },
+    {
+      "alpha3": "BHR",
+      "name": "Bahrain",
+      "iso2": "BH",
+      "region": "Middle East & North Africa",
+      "income_group": "High income",
+      "currency_name": "Bahraini dinar",
+      "source_codes": {
+        "world_bank": "BHR",
+        "imf_weo": "BHR",
+        "bis": "BH"
+      }
+    },
+    {
+      "alpha3": "BHS",
+      "name": "Bahamas, The",
+      "iso2": "BS",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Bahamian dollar",
+      "source_codes": {
+        "world_bank": "BHS",
+        "imf_weo": "BHS",
+        "bis": "BS"
+      }
+    },
+    {
+      "alpha3": "BIH",
+      "name": "Bosnia and Herzegovina",
+      "iso2": "BA",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "Bosnia and Herzegovina convertible mark",
+      "source_codes": {
+        "world_bank": "BIH",
+        "imf_weo": "BIH",
+        "bis": "BA"
+      }
+    },
+    {
+      "alpha3": "BLR",
+      "name": "Belarus",
+      "iso2": "BY",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "Belarusian rubel",
+      "source_codes": {
+        "world_bank": "BLR",
+        "imf_weo": "BLR",
+        "bis": "BY"
+      }
+    },
+    {
+      "alpha3": "BLZ",
+      "name": "Belize",
+      "iso2": "BZ",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "Belize dollar",
+      "source_codes": {
+        "world_bank": "BLZ",
+        "imf_weo": "BLZ",
+        "bis": "BZ"
+      }
+    },
+    {
+      "alpha3": "BMU",
+      "name": "Bermuda",
+      "iso2": "BM",
+      "region": "North America",
+      "income_group": "High income",
+      "currency_name": "Bermuda dollar",
+      "source_codes": {
+        "world_bank": "BMU",
+        "imf_weo": "BMU",
+        "bis": "BM"
+      }
+    },
+    {
+      "alpha3": "BOL",
+      "name": "Bolivia, Plurinational State of",
+      "iso2": "BO",
+      "region": "Latin America & Caribbean",
+      "income_group": "Lower middle income",
+      "currency_name": "Bolivian Boliviano",
+      "source_codes": {
+        "world_bank": "BOL",
+        "imf_weo": "BOL",
+        "bis": "BO"
+      }
+    },
+    {
+      "alpha3": "BRA",
+      "name": "Brazil",
+      "iso2": "BR",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "Brazilian real",
+      "source_codes": {
+        "world_bank": "BRA",
+        "imf_weo": "BRA",
+        "bis": "BR"
+      }
+    },
+    {
+      "alpha3": "BRB",
+      "name": "Barbados",
+      "iso2": "BB",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Barbados dollar",
+      "source_codes": {
+        "world_bank": "BRB",
+        "imf_weo": "BRB",
+        "bis": "BB"
+      }
+    },
+    {
+      "alpha3": "BRN",
+      "name": "Brunei Darussalam",
+      "iso2": "BN",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "Brunei dollar",
+      "source_codes": {
+        "world_bank": "BRN",
+        "imf_weo": "BRN",
+        "bis": "BN"
+      }
+    },
+    {
+      "alpha3": "BTN",
+      "name": "Bhutan",
+      "iso2": "BT",
+      "region": "South Asia",
+      "income_group": "Lower middle income",
+      "currency_name": "Bhutanese ngultrum",
+      "source_codes": {
+        "world_bank": "BTN",
+        "imf_weo": "BTN",
+        "bis": "BT"
+      }
+    },
+    {
+      "alpha3": "BWA",
+      "name": "Botswana",
+      "iso2": "BW",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Upper middle income",
+      "currency_name": "Botswana pula",
+      "source_codes": {
+        "world_bank": "BWA",
+        "imf_weo": "BWA",
+        "bis": "BW"
+      }
+    },
+    {
+      "alpha3": "CAF",
+      "name": "Central African Republic",
+      "iso2": "CF",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Central African CFA franc",
+      "source_codes": {
+        "world_bank": "CAF",
+        "imf_weo": "CAF",
+        "bis": "CF"
+      }
+    },
+    {
+      "alpha3": "CAN",
+      "name": "Canada",
+      "iso2": "CA",
+      "region": "North America",
+      "income_group": "High income",
+      "currency_name": "Canadian dollar",
+      "source_codes": {
+        "world_bank": "CAN",
+        "imf_weo": "CAN",
+        "bis": "CA"
+      }
+    },
+    {
+      "alpha3": "CHE",
+      "name": "Switzerland",
+      "iso2": "CH",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Swiss franc",
+      "source_codes": {
+        "world_bank": "CHE",
+        "imf_weo": "CHE",
+        "bis": "CH"
+      }
+    },
+    {
+      "alpha3": "CHI",
+      "name": "Channel Islands",
+      "iso2": "",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Pound sterling",
+      "source_codes": {
+        "world_bank": "CHI",
+        "imf_weo": "CHI",
+        "bis": ""
+      }
+    },
+    {
+      "alpha3": "CHL",
+      "name": "Chile",
+      "iso2": "CL",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Chilean peso",
+      "source_codes": {
+        "world_bank": "CHL",
+        "imf_weo": "CHL",
+        "bis": "CL"
+      }
+    },
+    {
+      "alpha3": "CHN",
+      "name": "China",
+      "iso2": "CN",
+      "region": "East Asia & Pacific",
+      "income_group": "Upper middle income",
+      "currency_name": "Chinese yuan",
+      "source_codes": {
+        "world_bank": "CHN",
+        "imf_weo": "CHN",
+        "bis": "CN"
+      }
+    },
+    {
+      "alpha3": "CIV",
+      "name": "Côte d'Ivoire",
+      "iso2": "CI",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "West African CFA franc",
+      "source_codes": {
+        "world_bank": "CIV",
+        "imf_weo": "CIV",
+        "bis": "CI"
+      }
+    },
+    {
+      "alpha3": "CMR",
+      "name": "Cameroon",
+      "iso2": "CM",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Central African CFA franc",
+      "source_codes": {
+        "world_bank": "CMR",
+        "imf_weo": "CMR",
+        "bis": "CM"
+      }
+    },
+    {
+      "alpha3": "COD",
+      "name": "Congo, Democratic Republic of",
+      "iso2": "CD",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Congolese franc",
+      "source_codes": {
+        "world_bank": "COD",
+        "imf_weo": "COD",
+        "bis": "CD"
+      }
+    },
+    {
+      "alpha3": "COG",
+      "name": "Congo, Republic of",
+      "iso2": "CG",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Central African CFA franc",
+      "source_codes": {
+        "world_bank": "COG",
+        "imf_weo": "COG",
+        "bis": "CG"
+      }
+    },
+    {
+      "alpha3": "COL",
+      "name": "Colombia",
+      "iso2": "CO",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "Colombian peso",
+      "source_codes": {
+        "world_bank": "COL",
+        "imf_weo": "COL",
+        "bis": "CO"
+      }
+    },
+    {
+      "alpha3": "COM",
+      "name": "Comoros",
+      "iso2": "KM",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Comorian franc",
+      "source_codes": {
+        "world_bank": "COM",
+        "imf_weo": "COM",
+        "bis": "KM"
+      }
+    },
+    {
+      "alpha3": "CPV",
+      "name": "Cabo Verde",
+      "iso2": "CV",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Upper middle income",
+      "currency_name": "Cabo Verde escudo",
+      "source_codes": {
+        "world_bank": "CPV",
+        "imf_weo": "CPV",
+        "bis": "CV"
+      }
+    },
+    {
+      "alpha3": "CRI",
+      "name": "Costa Rica",
+      "iso2": "CR",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Costa Rican colon",
+      "source_codes": {
+        "world_bank": "CRI",
+        "imf_weo": "CRI",
+        "bis": "CR"
+      }
+    },
+    {
+      "alpha3": "CUB",
+      "name": "Cuba",
+      "iso2": "CU",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "Cuban peso",
+      "source_codes": {
+        "world_bank": "CUB",
+        "imf_weo": "CUB",
+        "bis": "CU"
+      }
+    },
+    {
+      "alpha3": "CUW",
+      "name": "Curaçao",
+      "iso2": "CW",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Netherlands Antillean guilder",
+      "source_codes": {
+        "world_bank": "CUW",
+        "imf_weo": "CUW",
+        "bis": "CW"
+      }
+    },
+    {
+      "alpha3": "CYM",
+      "name": "Cayman Islands",
+      "iso2": "KY",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Cayman Islands dollar",
+      "source_codes": {
+        "world_bank": "CYM",
+        "imf_weo": "CYM",
+        "bis": "KY"
+      }
+    },
+    {
+      "alpha3": "CYP",
+      "name": "Cyprus",
+      "iso2": "CY",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "CYP",
+        "imf_weo": "CYP",
+        "bis": "CY"
+      }
+    },
+    {
+      "alpha3": "CZE",
+      "name": "Czechia",
+      "iso2": "CZ",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Czech koruna",
+      "source_codes": {
+        "world_bank": "CZE",
+        "imf_weo": "CZE",
+        "bis": "CZ"
+      }
+    },
+    {
+      "alpha3": "DEU",
+      "name": "Germany",
+      "iso2": "DE",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "DEU",
+        "imf_weo": "DEU",
+        "bis": "DE"
+      }
+    },
+    {
+      "alpha3": "DJI",
+      "name": "Djibouti",
+      "iso2": "DJ",
+      "region": "Middle East & North Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Djibouti franc",
+      "source_codes": {
+        "world_bank": "DJI",
+        "imf_weo": "DJI",
+        "bis": "DJ"
+      }
+    },
+    {
+      "alpha3": "DMA",
+      "name": "Dominica",
+      "iso2": "DM",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "East Caribbean dollar",
+      "source_codes": {
+        "world_bank": "DMA",
+        "imf_weo": "DMA",
+        "bis": "DM"
+      }
+    },
+    {
+      "alpha3": "DNK",
+      "name": "Denmark",
+      "iso2": "DK",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Danish krone",
+      "source_codes": {
+        "world_bank": "DNK",
+        "imf_weo": "DNK",
+        "bis": "DK"
+      }
+    },
+    {
+      "alpha3": "DOM",
+      "name": "Dominican Republic",
+      "iso2": "DO",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "Dominican peso",
+      "source_codes": {
+        "world_bank": "DOM",
+        "imf_weo": "DOM",
+        "bis": "DO"
+      }
+    },
+    {
+      "alpha3": "DZA",
+      "name": "Algeria",
+      "iso2": "DZ",
+      "region": "Middle East & North Africa",
+      "income_group": "Upper middle income",
+      "currency_name": "Algerian dinar",
+      "source_codes": {
+        "world_bank": "DZA",
+        "imf_weo": "DZA",
+        "bis": "DZ"
+      }
+    },
+    {
+      "alpha3": "ECU",
+      "name": "Ecuador",
+      "iso2": "EC",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "ECU",
+        "imf_weo": "ECU",
+        "bis": "EC"
+      }
+    },
+    {
+      "alpha3": "EGY",
+      "name": "Egypt, Arab Republic of",
+      "iso2": "EG",
+      "region": "Middle East & North Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Egyptian pound",
+      "source_codes": {
+        "world_bank": "EGY",
+        "imf_weo": "EGY",
+        "bis": "EG"
+      }
+    },
+    {
+      "alpha3": "ERI",
+      "name": "Eritrea",
+      "iso2": "ER",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Eritrean nakfa",
+      "source_codes": {
+        "world_bank": "ERI",
+        "imf_weo": "ERI",
+        "bis": "ER"
+      }
+    },
+    {
+      "alpha3": "ESP",
+      "name": "Spain",
+      "iso2": "ES",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "ESP",
+        "imf_weo": "ESP",
+        "bis": "ES"
+      }
+    },
+    {
+      "alpha3": "EST",
+      "name": "Estonia",
+      "iso2": "EE",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "EST",
+        "imf_weo": "EST",
+        "bis": "EE"
+      }
+    },
+    {
+      "alpha3": "FIN",
+      "name": "Finland",
+      "iso2": "FI",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "FIN",
+        "imf_weo": "FIN",
+        "bis": "FI"
+      }
+    },
+    {
+      "alpha3": "FJI",
+      "name": "Fiji",
+      "iso2": "FJ",
+      "region": "East Asia & Pacific",
+      "income_group": "Upper middle income",
+      "currency_name": "Fijian dollar",
+      "source_codes": {
+        "world_bank": "FJI",
+        "imf_weo": "FJI",
+        "bis": "FJ"
+      }
+    },
+    {
+      "alpha3": "FRA",
+      "name": "France",
+      "iso2": "FR",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "FRA",
+        "imf_weo": "FRA",
+        "bis": "FR"
+      }
+    },
+    {
+      "alpha3": "FRO",
+      "name": "Faroe Islands",
+      "iso2": "FO",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Danish krone",
+      "source_codes": {
+        "world_bank": "FRO",
+        "imf_weo": "FRO",
+        "bis": "FO"
+      }
+    },
+    {
+      "alpha3": "FSM",
+      "name": "Micronesia, Federated States of",
+      "iso2": "FM",
+      "region": "East Asia & Pacific",
+      "income_group": "Lower middle income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "FSM",
+        "imf_weo": "FSM",
+        "bis": "FM"
+      }
+    },
+    {
+      "alpha3": "GAB",
+      "name": "Gabon",
+      "iso2": "GA",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Upper middle income",
+      "currency_name": "Central African CFA franc",
+      "source_codes": {
+        "world_bank": "GAB",
+        "imf_weo": "GAB",
+        "bis": "GA"
+      }
+    },
+    {
+      "alpha3": "GBR",
+      "name": "United Kingdom",
+      "iso2": "GB",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Pound sterling",
+      "source_codes": {
+        "world_bank": "GBR",
+        "imf_weo": "GBR",
+        "bis": "GB"
+      }
+    },
+    {
+      "alpha3": "GEO",
+      "name": "Georgia",
+      "iso2": "GE",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "Georgian lari",
+      "source_codes": {
+        "world_bank": "GEO",
+        "imf_weo": "GEO",
+        "bis": "GE"
+      }
+    },
+    {
+      "alpha3": "GHA",
+      "name": "Ghana",
+      "iso2": "GH",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "New Ghanaian cedi",
+      "source_codes": {
+        "world_bank": "GHA",
+        "imf_weo": "GHA",
+        "bis": "GH"
+      }
+    },
+    {
+      "alpha3": "GIB",
+      "name": "Gibraltar",
+      "iso2": "GI",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Gibraltar pound",
+      "source_codes": {
+        "world_bank": "GIB",
+        "imf_weo": "GIB",
+        "bis": "GI"
+      }
+    },
+    {
+      "alpha3": "GIN",
+      "name": "Guinea",
+      "iso2": "GN",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Guinean franc",
+      "source_codes": {
+        "world_bank": "GIN",
+        "imf_weo": "GIN",
+        "bis": "GN"
+      }
+    },
+    {
+      "alpha3": "GMB",
+      "name": "Gambia, The",
+      "iso2": "GM",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Gambian dalasi",
+      "source_codes": {
+        "world_bank": "GMB",
+        "imf_weo": "GMB",
+        "bis": "GM"
+      }
+    },
+    {
+      "alpha3": "GNB",
+      "name": "Guinea-Bissau",
+      "iso2": "GW",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "West African CFA franc",
+      "source_codes": {
+        "world_bank": "GNB",
+        "imf_weo": "GNB",
+        "bis": "GW"
+      }
+    },
+    {
+      "alpha3": "GNQ",
+      "name": "Equatorial Guinea",
+      "iso2": "GQ",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Upper middle income",
+      "currency_name": "Central African CFA franc",
+      "source_codes": {
+        "world_bank": "GNQ",
+        "imf_weo": "GNQ",
+        "bis": "GQ"
+      }
+    },
+    {
+      "alpha3": "GRC",
+      "name": "Greece",
+      "iso2": "GR",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "GRC",
+        "imf_weo": "GRC",
+        "bis": "GR"
+      }
+    },
+    {
+      "alpha3": "GRD",
+      "name": "Grenada",
+      "iso2": "GD",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "East Caribbean dollar",
+      "source_codes": {
+        "world_bank": "GRD",
+        "imf_weo": "GRD",
+        "bis": "GD"
+      }
+    },
+    {
+      "alpha3": "GRL",
+      "name": "Greenland",
+      "iso2": "GL",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Danish krone",
+      "source_codes": {
+        "world_bank": "GRL",
+        "imf_weo": "GRL",
+        "bis": "GL"
+      }
+    },
+    {
+      "alpha3": "GTM",
+      "name": "Guatemala",
+      "iso2": "GT",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "Guatemalan quetzal",
+      "source_codes": {
+        "world_bank": "GTM",
+        "imf_weo": "GTM",
+        "bis": "GT"
+      }
+    },
+    {
+      "alpha3": "GUM",
+      "name": "Guam",
+      "iso2": "GU",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "GUM",
+        "imf_weo": "GUM",
+        "bis": "GU"
+      }
+    },
+    {
+      "alpha3": "GUY",
+      "name": "Guyana",
+      "iso2": "GY",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Guyana dollar",
+      "source_codes": {
+        "world_bank": "GUY",
+        "imf_weo": "GUY",
+        "bis": "GY"
+      }
+    },
+    {
+      "alpha3": "HKG",
+      "name": "Hong Kong SAR, China",
+      "iso2": "HK",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "Hong Kong dollar",
+      "source_codes": {
+        "world_bank": "HKG",
+        "imf_weo": "HKG",
+        "bis": "HK"
+      }
+    },
+    {
+      "alpha3": "HND",
+      "name": "Honduras",
+      "iso2": "HN",
+      "region": "Latin America & Caribbean",
+      "income_group": "Lower middle income",
+      "currency_name": "Honduran lempira",
+      "source_codes": {
+        "world_bank": "HND",
+        "imf_weo": "HND",
+        "bis": "HN"
+      }
+    },
+    {
+      "alpha3": "HRV",
+      "name": "Croatia",
+      "iso2": "HR",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "HRV",
+        "imf_weo": "HRV",
+        "bis": "HR"
+      }
+    },
+    {
+      "alpha3": "HTI",
+      "name": "Haiti",
+      "iso2": "HT",
+      "region": "Latin America & Caribbean",
+      "income_group": "Lower middle income",
+      "currency_name": "Haitian gourde",
+      "source_codes": {
+        "world_bank": "HTI",
+        "imf_weo": "HTI",
+        "bis": "HT"
+      }
+    },
+    {
+      "alpha3": "HUN",
+      "name": "Hungary",
+      "iso2": "HU",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Hungarian forint",
+      "source_codes": {
+        "world_bank": "HUN",
+        "imf_weo": "HUN",
+        "bis": "HU"
+      }
+    },
+    {
+      "alpha3": "IDN",
+      "name": "Indonesia",
+      "iso2": "ID",
+      "region": "East Asia & Pacific",
+      "income_group": "Upper middle income",
+      "currency_name": "Indonesian rupiah",
+      "source_codes": {
+        "world_bank": "IDN",
+        "imf_weo": "IDN",
+        "bis": "ID"
+      }
+    },
+    {
+      "alpha3": "IMN",
+      "name": "Isle of Man",
+      "iso2": "IM",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Pound sterling",
+      "source_codes": {
+        "world_bank": "IMN",
+        "imf_weo": "IMN",
+        "bis": "IM"
+      }
+    },
+    {
+      "alpha3": "IND",
+      "name": "India",
+      "iso2": "IN",
+      "region": "South Asia",
+      "income_group": "Lower middle income",
+      "currency_name": "Indian rupee",
+      "source_codes": {
+        "world_bank": "IND",
+        "imf_weo": "IND",
+        "bis": "IN"
+      }
+    },
+    {
+      "alpha3": "IRL",
+      "name": "Ireland",
+      "iso2": "IE",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "IRL",
+        "imf_weo": "IRL",
+        "bis": "IE"
+      }
+    },
+    {
+      "alpha3": "IRN",
+      "name": "Iran, Islamic Republic of",
+      "iso2": "IR",
+      "region": "Middle East & North Africa",
+      "income_group": "Upper middle income",
+      "currency_name": "Iranian rial",
+      "source_codes": {
+        "world_bank": "IRN",
+        "imf_weo": "IRN",
+        "bis": "IR"
+      }
+    },
+    {
+      "alpha3": "IRQ",
+      "name": "Iraq",
+      "iso2": "IQ",
+      "region": "Middle East & North Africa",
+      "income_group": "Upper middle income",
+      "currency_name": "Iraqi dinar",
+      "source_codes": {
+        "world_bank": "IRQ",
+        "imf_weo": "IRQ",
+        "bis": "IQ"
+      }
+    },
+    {
+      "alpha3": "ISL",
+      "name": "Iceland",
+      "iso2": "IS",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Iceland krona",
+      "source_codes": {
+        "world_bank": "ISL",
+        "imf_weo": "ISL",
+        "bis": "IS"
+      }
+    },
+    {
+      "alpha3": "ISR",
+      "name": "Israel",
+      "iso2": "IL",
+      "region": "Middle East & North Africa",
+      "income_group": "High income",
+      "currency_name": "Israeli new shekel",
+      "source_codes": {
+        "world_bank": "ISR",
+        "imf_weo": "ISR",
+        "bis": "IL"
+      }
+    },
+    {
+      "alpha3": "ITA",
+      "name": "Italy",
+      "iso2": "IT",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "ITA",
+        "imf_weo": "ITA",
+        "bis": "IT"
+      }
+    },
+    {
+      "alpha3": "JAM",
+      "name": "Jamaica",
+      "iso2": "JM",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "Jamaican dollar",
+      "source_codes": {
+        "world_bank": "JAM",
+        "imf_weo": "JAM",
+        "bis": "JM"
+      }
+    },
+    {
+      "alpha3": "JOR",
+      "name": "Jordan",
+      "iso2": "JO",
+      "region": "Middle East & North Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Jordanian dinar",
+      "source_codes": {
+        "world_bank": "JOR",
+        "imf_weo": "JOR",
+        "bis": "JO"
+      }
+    },
+    {
+      "alpha3": "JPN",
+      "name": "Japan",
+      "iso2": "JP",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "Japanese yen",
+      "source_codes": {
+        "world_bank": "JPN",
+        "imf_weo": "JPN",
+        "bis": "JP"
+      }
+    },
+    {
+      "alpha3": "KAZ",
+      "name": "Kazakhstan",
+      "iso2": "KZ",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "Kazakh tenge",
+      "source_codes": {
+        "world_bank": "KAZ",
+        "imf_weo": "KAZ",
+        "bis": "KZ"
+      }
+    },
+    {
+      "alpha3": "KEN",
+      "name": "Kenya",
+      "iso2": "KE",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Kenyan shilling",
+      "source_codes": {
+        "world_bank": "KEN",
+        "imf_weo": "KEN",
+        "bis": "KE"
+      }
+    },
+    {
+      "alpha3": "KGZ",
+      "name": "Kyrgyz Republic",
+      "iso2": "KG",
+      "region": "Europe & Central Asia",
+      "income_group": "Lower middle income",
+      "currency_name": "Kyrgyz som",
+      "source_codes": {
+        "world_bank": "KGZ",
+        "imf_weo": "KGZ",
+        "bis": "KG"
+      }
+    },
+    {
+      "alpha3": "KHM",
+      "name": "Cambodia",
+      "iso2": "KH",
+      "region": "East Asia & Pacific",
+      "income_group": "Lower middle income",
+      "currency_name": "Cambodian riel",
+      "source_codes": {
+        "world_bank": "KHM",
+        "imf_weo": "KHM",
+        "bis": "KH"
+      }
+    },
+    {
+      "alpha3": "KIR",
+      "name": "Kiribati",
+      "iso2": "KI",
+      "region": "East Asia & Pacific",
+      "income_group": "Lower middle income",
+      "currency_name": "Australian dollar",
+      "source_codes": {
+        "world_bank": "KIR",
+        "imf_weo": "KIR",
+        "bis": "KI"
+      }
+    },
+    {
+      "alpha3": "KNA",
+      "name": "St. Kitts and Nevis",
+      "iso2": "KN",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "East Caribbean dollar",
+      "source_codes": {
+        "world_bank": "KNA",
+        "imf_weo": "KNA",
+        "bis": "KN"
+      }
+    },
+    {
+      "alpha3": "KOR",
+      "name": "Korea",
+      "iso2": "KR",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "Korean won",
+      "source_codes": {
+        "world_bank": "KOR",
+        "imf_weo": "KOR",
+        "bis": "KR"
+      }
+    },
+    {
+      "alpha3": "KWT",
+      "name": "Kuwait",
+      "iso2": "KW",
+      "region": "Middle East & North Africa",
+      "income_group": "High income",
+      "currency_name": "Kuwaiti dinar",
+      "source_codes": {
+        "world_bank": "KWT",
+        "imf_weo": "KWT",
+        "bis": "KW"
+      }
+    },
+    {
+      "alpha3": "LAO",
+      "name": "Lao PDR",
+      "iso2": "LA",
+      "region": "East Asia & Pacific",
+      "income_group": "Lower middle income",
+      "currency_name": "Lao kip",
+      "source_codes": {
+        "world_bank": "LAO",
+        "imf_weo": "LAO",
+        "bis": "LA"
+      }
+    },
+    {
+      "alpha3": "LBN",
+      "name": "Lebanon",
+      "iso2": "LB",
+      "region": "Middle East & North Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Lebanese pound",
+      "source_codes": {
+        "world_bank": "LBN",
+        "imf_weo": "LBN",
+        "bis": "LB"
+      }
+    },
+    {
+      "alpha3": "LBR",
+      "name": "Liberia",
+      "iso2": "LR",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Liberian dollar",
+      "source_codes": {
+        "world_bank": "LBR",
+        "imf_weo": "LBR",
+        "bis": "LR"
+      }
+    },
+    {
+      "alpha3": "LBY",
+      "name": "Libya",
+      "iso2": "LY",
+      "region": "Middle East & North Africa",
+      "income_group": "Upper middle income",
+      "currency_name": "Libyan dinar",
+      "source_codes": {
+        "world_bank": "LBY",
+        "imf_weo": "LBY",
+        "bis": "LY"
+      }
+    },
+    {
+      "alpha3": "LCA",
+      "name": "St. Lucia",
+      "iso2": "LC",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "East Caribbean dollar",
+      "source_codes": {
+        "world_bank": "LCA",
+        "imf_weo": "LCA",
+        "bis": "LC"
+      }
+    },
+    {
+      "alpha3": "LIE",
+      "name": "Liechtenstein",
+      "iso2": "LI",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Swiss franc",
+      "source_codes": {
+        "world_bank": "LIE",
+        "imf_weo": "LIE",
+        "bis": "LI"
+      }
+    },
+    {
+      "alpha3": "LKA",
+      "name": "Sri Lanka",
+      "iso2": "LK",
+      "region": "South Asia",
+      "income_group": "Lower middle income",
+      "currency_name": "Sri Lankan rupee",
+      "source_codes": {
+        "world_bank": "LKA",
+        "imf_weo": "LKA",
+        "bis": "LK"
+      }
+    },
+    {
+      "alpha3": "LSO",
+      "name": "Lesotho",
+      "iso2": "LS",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Lesotho loti",
+      "source_codes": {
+        "world_bank": "LSO",
+        "imf_weo": "LSO",
+        "bis": "LS"
+      }
+    },
+    {
+      "alpha3": "LTU",
+      "name": "Lithuania",
+      "iso2": "LT",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "LTU",
+        "imf_weo": "LTU",
+        "bis": "LT"
+      }
+    },
+    {
+      "alpha3": "LUX",
+      "name": "Luxembourg",
+      "iso2": "LU",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "LUX",
+        "imf_weo": "LUX",
+        "bis": "LU"
+      }
+    },
+    {
+      "alpha3": "LVA",
+      "name": "Latvia",
+      "iso2": "LV",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "LVA",
+        "imf_weo": "LVA",
+        "bis": "LV"
+      }
+    },
+    {
+      "alpha3": "MAC",
+      "name": "Macao SAR, China",
+      "iso2": "MO",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "Macao pataca",
+      "source_codes": {
+        "world_bank": "MAC",
+        "imf_weo": "MAC",
+        "bis": "MO"
+      }
+    },
+    {
+      "alpha3": "MAF",
+      "name": "St. Martin (French part)",
+      "iso2": "MF",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "MAF",
+        "imf_weo": "MAF",
+        "bis": "MF"
+      }
+    },
+    {
+      "alpha3": "MAR",
+      "name": "Morocco",
+      "iso2": "MA",
+      "region": "Middle East & North Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Moroccan dirham",
+      "source_codes": {
+        "world_bank": "MAR",
+        "imf_weo": "MAR",
+        "bis": "MA"
+      }
+    },
+    {
+      "alpha3": "MCO",
+      "name": "Monaco",
+      "iso2": "MC",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "MCO",
+        "imf_weo": "MCO",
+        "bis": "MC"
+      }
+    },
+    {
+      "alpha3": "MDA",
+      "name": "Moldova",
+      "iso2": "MD",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "Moldovan leu",
+      "source_codes": {
+        "world_bank": "MDA",
+        "imf_weo": "MDA",
+        "bis": "MD"
+      }
+    },
+    {
+      "alpha3": "MDG",
+      "name": "Madagascar",
+      "iso2": "MG",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Malagasy ariary",
+      "source_codes": {
+        "world_bank": "MDG",
+        "imf_weo": "MDG",
+        "bis": "MG"
+      }
+    },
+    {
+      "alpha3": "MDV",
+      "name": "Maldives",
+      "iso2": "MV",
+      "region": "South Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "Maldivian rufiyaa",
+      "source_codes": {
+        "world_bank": "MDV",
+        "imf_weo": "MDV",
+        "bis": "MV"
+      }
+    },
+    {
+      "alpha3": "MEX",
+      "name": "Mexico",
+      "iso2": "MX",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "Mexican peso",
+      "source_codes": {
+        "world_bank": "MEX",
+        "imf_weo": "MEX",
+        "bis": "MX"
+      }
+    },
+    {
+      "alpha3": "MHL",
+      "name": "Marshall Islands",
+      "iso2": "MH",
+      "region": "East Asia & Pacific",
+      "income_group": "Upper middle income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "MHL",
+        "imf_weo": "MHL",
+        "bis": "MH"
+      }
+    },
+    {
+      "alpha3": "MKD",
+      "name": "North Macedonia",
+      "iso2": "MK",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "Macedonian denar",
+      "source_codes": {
+        "world_bank": "MKD",
+        "imf_weo": "MKD",
+        "bis": "MK"
+      }
+    },
+    {
+      "alpha3": "MLI",
+      "name": "Mali",
+      "iso2": "ML",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "West African CFA franc",
+      "source_codes": {
+        "world_bank": "MLI",
+        "imf_weo": "MLI",
+        "bis": "ML"
+      }
+    },
+    {
+      "alpha3": "MLT",
+      "name": "Malta",
+      "iso2": "MT",
+      "region": "Middle East & North Africa",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "MLT",
+        "imf_weo": "MLT",
+        "bis": "MT"
+      }
+    },
+    {
+      "alpha3": "MMR",
+      "name": "Myanmar",
+      "iso2": "MM",
+      "region": "East Asia & Pacific",
+      "income_group": "Lower middle income",
+      "currency_name": "Myanmar kyat",
+      "source_codes": {
+        "world_bank": "MMR",
+        "imf_weo": "MMR",
+        "bis": "MM"
+      }
+    },
+    {
+      "alpha3": "MNE",
+      "name": "Montenegro",
+      "iso2": "ME",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "MNE",
+        "imf_weo": "MNE",
+        "bis": "ME"
+      }
+    },
+    {
+      "alpha3": "MNG",
+      "name": "Mongolia",
+      "iso2": "MN",
+      "region": "East Asia & Pacific",
+      "income_group": "Upper middle income",
+      "currency_name": "Mongolian tugrik",
+      "source_codes": {
+        "world_bank": "MNG",
+        "imf_weo": "MNG",
+        "bis": "MN"
+      }
+    },
+    {
+      "alpha3": "MNP",
+      "name": "Northern Mariana Islands",
+      "iso2": "MP",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "MNP",
+        "imf_weo": "MNP",
+        "bis": "MP"
+      }
+    },
+    {
+      "alpha3": "MOZ",
+      "name": "Mozambique",
+      "iso2": "MZ",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "New Mozambican metical",
+      "source_codes": {
+        "world_bank": "MOZ",
+        "imf_weo": "MOZ",
+        "bis": "MZ"
+      }
+    },
+    {
+      "alpha3": "MRT",
+      "name": "Mauritania",
+      "iso2": "MR",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Mauritanian ouguiya",
+      "source_codes": {
+        "world_bank": "MRT",
+        "imf_weo": "MRT",
+        "bis": "MR"
+      }
+    },
+    {
+      "alpha3": "MUS",
+      "name": "Mauritius",
+      "iso2": "MU",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Upper middle income",
+      "currency_name": "Mauritian rupee",
+      "source_codes": {
+        "world_bank": "MUS",
+        "imf_weo": "MUS",
+        "bis": "MU"
+      }
+    },
+    {
+      "alpha3": "MWI",
+      "name": "Malawi",
+      "iso2": "MW",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Malawi kwacha",
+      "source_codes": {
+        "world_bank": "MWI",
+        "imf_weo": "MWI",
+        "bis": "MW"
+      }
+    },
+    {
+      "alpha3": "MYS",
+      "name": "Malaysia",
+      "iso2": "MY",
+      "region": "East Asia & Pacific",
+      "income_group": "Upper middle income",
+      "currency_name": "Malaysian ringgit",
+      "source_codes": {
+        "world_bank": "MYS",
+        "imf_weo": "MYS",
+        "bis": "MY"
+      }
+    },
+    {
+      "alpha3": "NAM",
+      "name": "Namibia",
+      "iso2": "NA",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Namibian dollar",
+      "source_codes": {
+        "world_bank": "NAM",
+        "imf_weo": "NAM",
+        "bis": "NA"
+      }
+    },
+    {
+      "alpha3": "NCL",
+      "name": "New Caledonia",
+      "iso2": "NC",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "CFP franc",
+      "source_codes": {
+        "world_bank": "NCL",
+        "imf_weo": "NCL",
+        "bis": "NC"
+      }
+    },
+    {
+      "alpha3": "NER",
+      "name": "Niger",
+      "iso2": "NE",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "West African CFA franc",
+      "source_codes": {
+        "world_bank": "NER",
+        "imf_weo": "NER",
+        "bis": "NE"
+      }
+    },
+    {
+      "alpha3": "NGA",
+      "name": "Nigeria",
+      "iso2": "NG",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Nigerian naira",
+      "source_codes": {
+        "world_bank": "NGA",
+        "imf_weo": "NGA",
+        "bis": "NG"
+      }
+    },
+    {
+      "alpha3": "NIC",
+      "name": "Nicaragua",
+      "iso2": "NI",
+      "region": "Latin America & Caribbean",
+      "income_group": "Lower middle income",
+      "currency_name": "Nicaraguan gold cordoba",
+      "source_codes": {
+        "world_bank": "NIC",
+        "imf_weo": "NIC",
+        "bis": "NI"
+      }
+    },
+    {
+      "alpha3": "NLD",
+      "name": "Netherlands",
+      "iso2": "NL",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "NLD",
+        "imf_weo": "NLD",
+        "bis": "NL"
+      }
+    },
+    {
+      "alpha3": "NOR",
+      "name": "Norway",
+      "iso2": "NO",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Norwegian krone",
+      "source_codes": {
+        "world_bank": "NOR",
+        "imf_weo": "NOR",
+        "bis": "NO"
+      }
+    },
+    {
+      "alpha3": "NPL",
+      "name": "Nepal",
+      "iso2": "NP",
+      "region": "South Asia",
+      "income_group": "Lower middle income",
+      "currency_name": "Nepalese rupee",
+      "source_codes": {
+        "world_bank": "NPL",
+        "imf_weo": "NPL",
+        "bis": "NP"
+      }
+    },
+    {
+      "alpha3": "NRU",
+      "name": "Nauru",
+      "iso2": "NR",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "Australian dollar",
+      "source_codes": {
+        "world_bank": "NRU",
+        "imf_weo": "NRU",
+        "bis": "NR"
+      }
+    },
+    {
+      "alpha3": "NZL",
+      "name": "New Zealand",
+      "iso2": "NZ",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "New Zealand dollar",
+      "source_codes": {
+        "world_bank": "NZL",
+        "imf_weo": "NZL",
+        "bis": "NZ"
+      }
+    },
+    {
+      "alpha3": "OMN",
+      "name": "Oman",
+      "iso2": "OM",
+      "region": "Middle East & North Africa",
+      "income_group": "High income",
+      "currency_name": "Omani rial",
+      "source_codes": {
+        "world_bank": "OMN",
+        "imf_weo": "OMN",
+        "bis": "OM"
+      }
+    },
+    {
+      "alpha3": "PAK",
+      "name": "Pakistan",
+      "iso2": "PK",
+      "region": "Middle East & North Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Pakistani rupee",
+      "source_codes": {
+        "world_bank": "PAK",
+        "imf_weo": "PAK",
+        "bis": "PK"
+      }
+    },
+    {
+      "alpha3": "PAN",
+      "name": "Panama",
+      "iso2": "PA",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Panamanian balboa",
+      "source_codes": {
+        "world_bank": "PAN",
+        "imf_weo": "PAN",
+        "bis": "PA"
+      }
+    },
+    {
+      "alpha3": "PER",
+      "name": "Peru",
+      "iso2": "PE",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "Peruvian new sol",
+      "source_codes": {
+        "world_bank": "PER",
+        "imf_weo": "PER",
+        "bis": "PE"
+      }
+    },
+    {
+      "alpha3": "PHL",
+      "name": "Philippines",
+      "iso2": "PH",
+      "region": "East Asia & Pacific",
+      "income_group": "Lower middle income",
+      "currency_name": "Philippine peso",
+      "source_codes": {
+        "world_bank": "PHL",
+        "imf_weo": "PHL",
+        "bis": "PH"
+      }
+    },
+    {
+      "alpha3": "PLW",
+      "name": "Palau",
+      "iso2": "PW",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "PLW",
+        "imf_weo": "PLW",
+        "bis": "PW"
+      }
+    },
+    {
+      "alpha3": "PNG",
+      "name": "Papua New Guinea",
+      "iso2": "PG",
+      "region": "East Asia & Pacific",
+      "income_group": "Lower middle income",
+      "currency_name": "Papua New Guinea kina",
+      "source_codes": {
+        "world_bank": "PNG",
+        "imf_weo": "PNG",
+        "bis": "PG"
+      }
+    },
+    {
+      "alpha3": "POL",
+      "name": "Poland",
+      "iso2": "PL",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Polish zloty",
+      "source_codes": {
+        "world_bank": "POL",
+        "imf_weo": "POL",
+        "bis": "PL"
+      }
+    },
+    {
+      "alpha3": "PRI",
+      "name": "Puerto Rico (US)",
+      "iso2": "PR",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "PRI",
+        "imf_weo": "PRI",
+        "bis": "PR"
+      }
+    },
+    {
+      "alpha3": "PRK",
+      "name": "Korea, Democratic People’s Republic of",
+      "iso2": "KP",
+      "region": "East Asia & Pacific",
+      "income_group": "Low income",
+      "currency_name": "Democratic People's Republic of Korean won",
+      "source_codes": {
+        "world_bank": "PRK",
+        "imf_weo": "PRK",
+        "bis": "KP"
+      }
+    },
+    {
+      "alpha3": "PRT",
+      "name": "Portugal",
+      "iso2": "PT",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "PRT",
+        "imf_weo": "PRT",
+        "bis": "PT"
+      }
+    },
+    {
+      "alpha3": "PRY",
+      "name": "Paraguay",
+      "iso2": "PY",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "Paraguayan guarani",
+      "source_codes": {
+        "world_bank": "PRY",
+        "imf_weo": "PRY",
+        "bis": "PY"
+      }
+    },
+    {
+      "alpha3": "PSE",
+      "name": "West Bank and Gaza",
+      "iso2": "PS",
+      "region": "Middle East & North Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Israeli new shekel",
+      "source_codes": {
+        "world_bank": "PSE",
+        "imf_weo": "PSE",
+        "bis": "PS"
+      }
+    },
+    {
+      "alpha3": "PYF",
+      "name": "French Polynesia",
+      "iso2": "PF",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "CFP franc",
+      "source_codes": {
+        "world_bank": "PYF",
+        "imf_weo": "PYF",
+        "bis": "PF"
+      }
+    },
+    {
+      "alpha3": "QAT",
+      "name": "Qatar",
+      "iso2": "QA",
+      "region": "Middle East & North Africa",
+      "income_group": "High income",
+      "currency_name": "Qatari riyal",
+      "source_codes": {
+        "world_bank": "QAT",
+        "imf_weo": "QAT",
+        "bis": "QA"
+      }
+    },
+    {
+      "alpha3": "ROU",
+      "name": "Romania",
+      "iso2": "RO",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "New Romanian leu",
+      "source_codes": {
+        "world_bank": "ROU",
+        "imf_weo": "ROU",
+        "bis": "RO"
+      }
+    },
+    {
+      "alpha3": "RUS",
+      "name": "Russian Federation",
+      "iso2": "RU",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Russian ruble",
+      "source_codes": {
+        "world_bank": "RUS",
+        "imf_weo": "RUS",
+        "bis": "RU"
+      }
+    },
+    {
+      "alpha3": "RWA",
+      "name": "Rwanda",
+      "iso2": "RW",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Rwandan franc",
+      "source_codes": {
+        "world_bank": "RWA",
+        "imf_weo": "RWA",
+        "bis": "RW"
+      }
+    },
+    {
+      "alpha3": "SAU",
+      "name": "Saudi Arabia",
+      "iso2": "SA",
+      "region": "Middle East & North Africa",
+      "income_group": "High income",
+      "currency_name": "Saudi Arabian riyal",
+      "source_codes": {
+        "world_bank": "SAU",
+        "imf_weo": "SAU",
+        "bis": "SA"
+      }
+    },
+    {
+      "alpha3": "SDN",
+      "name": "Sudan",
+      "iso2": "SD",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Sudanese pound",
+      "source_codes": {
+        "world_bank": "SDN",
+        "imf_weo": "SDN",
+        "bis": "SD"
+      }
+    },
+    {
+      "alpha3": "SEN",
+      "name": "Senegal",
+      "iso2": "SN",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "West African CFA franc",
+      "source_codes": {
+        "world_bank": "SEN",
+        "imf_weo": "SEN",
+        "bis": "SN"
+      }
+    },
+    {
+      "alpha3": "SGP",
+      "name": "Singapore",
+      "iso2": "SG",
+      "region": "East Asia & Pacific",
+      "income_group": "High income",
+      "currency_name": "Singapore dollar",
+      "source_codes": {
+        "world_bank": "SGP",
+        "imf_weo": "SGP",
+        "bis": "SG"
+      }
+    },
+    {
+      "alpha3": "SLB",
+      "name": "Solomon Islands",
+      "iso2": "SB",
+      "region": "East Asia & Pacific",
+      "income_group": "Lower middle income",
+      "currency_name": "Solomon Islands dollar",
+      "source_codes": {
+        "world_bank": "SLB",
+        "imf_weo": "SLB",
+        "bis": "SB"
+      }
+    },
+    {
+      "alpha3": "SLE",
+      "name": "Sierra Leone",
+      "iso2": "SL",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Sierra Leonean leone",
+      "source_codes": {
+        "world_bank": "SLE",
+        "imf_weo": "SLE",
+        "bis": "SL"
+      }
+    },
+    {
+      "alpha3": "SLV",
+      "name": "El Salvador",
+      "iso2": "SV",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "SLV",
+        "imf_weo": "SLV",
+        "bis": "SV"
+      }
+    },
+    {
+      "alpha3": "SMR",
+      "name": "San Marino",
+      "iso2": "SM",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "SMR",
+        "imf_weo": "SMR",
+        "bis": "SM"
+      }
+    },
+    {
+      "alpha3": "SOM",
+      "name": "Somalia, Fed. Rep.",
+      "iso2": "SO",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Somali shilling",
+      "source_codes": {
+        "world_bank": "SOM",
+        "imf_weo": "SOM",
+        "bis": "SO"
+      }
+    },
+    {
+      "alpha3": "SRB",
+      "name": "Serbia",
+      "iso2": "RS",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "New Serbian dinar",
+      "source_codes": {
+        "world_bank": "SRB",
+        "imf_weo": "SRB",
+        "bis": "RS"
+      }
+    },
+    {
+      "alpha3": "SSD",
+      "name": "South Sudan",
+      "iso2": "SS",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "South Sudanese Pound",
+      "source_codes": {
+        "world_bank": "SSD",
+        "imf_weo": "SSD",
+        "bis": "SS"
+      }
+    },
+    {
+      "alpha3": "STP",
+      "name": "São Tomé and Principe",
+      "iso2": "ST",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "São Tomé and Principe dobra",
+      "source_codes": {
+        "world_bank": "STP",
+        "imf_weo": "STP",
+        "bis": "ST"
+      }
+    },
+    {
+      "alpha3": "SUR",
+      "name": "Suriname",
+      "iso2": "SR",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "Suriname dollar",
+      "source_codes": {
+        "world_bank": "SUR",
+        "imf_weo": "SUR",
+        "bis": "SR"
+      }
+    },
+    {
+      "alpha3": "SVK",
+      "name": "Slovak Republic",
+      "iso2": "SK",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "SVK",
+        "imf_weo": "SVK",
+        "bis": "SK"
+      }
+    },
+    {
+      "alpha3": "SVN",
+      "name": "Slovenia",
+      "iso2": "SI",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "SVN",
+        "imf_weo": "SVN",
+        "bis": "SI"
+      }
+    },
+    {
+      "alpha3": "SWE",
+      "name": "Sweden",
+      "iso2": "SE",
+      "region": "Europe & Central Asia",
+      "income_group": "High income",
+      "currency_name": "Swedish krona",
+      "source_codes": {
+        "world_bank": "SWE",
+        "imf_weo": "SWE",
+        "bis": "SE"
+      }
+    },
+    {
+      "alpha3": "SWZ",
+      "name": "Eswatini",
+      "iso2": "SZ",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Swazi lilangeni",
+      "source_codes": {
+        "world_bank": "SWZ",
+        "imf_weo": "SWZ",
+        "bis": "SZ"
+      }
+    },
+    {
+      "alpha3": "SXM",
+      "name": "Sint Maarten (Dutch part)",
+      "iso2": "SX",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Netherlands Antillean guilder",
+      "source_codes": {
+        "world_bank": "SXM",
+        "imf_weo": "SXM",
+        "bis": "SX"
+      }
+    },
+    {
+      "alpha3": "SYC",
+      "name": "Seychelles",
+      "iso2": "SC",
+      "region": "Sub-Saharan Africa",
+      "income_group": "High income",
+      "currency_name": "Seychelles rupee",
+      "source_codes": {
+        "world_bank": "SYC",
+        "imf_weo": "SYC",
+        "bis": "SC"
+      }
+    },
+    {
+      "alpha3": "SYR",
+      "name": "Syrian Arab Republic",
+      "iso2": "SY",
+      "region": "Middle East & North Africa",
+      "income_group": "Low income",
+      "currency_name": "Syrian pound",
+      "source_codes": {
+        "world_bank": "SYR",
+        "imf_weo": "SYR",
+        "bis": "SY"
+      }
+    },
+    {
+      "alpha3": "TCA",
+      "name": "Turks and Caicos Islands",
+      "iso2": "TC",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "TCA",
+        "imf_weo": "TCA",
+        "bis": "TC"
+      }
+    },
+    {
+      "alpha3": "TCD",
+      "name": "Chad",
+      "iso2": "TD",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Central African CFA franc",
+      "source_codes": {
+        "world_bank": "TCD",
+        "imf_weo": "TCD",
+        "bis": "TD"
+      }
+    },
+    {
+      "alpha3": "TGO",
+      "name": "Togo",
+      "iso2": "TG",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "West African CFA franc",
+      "source_codes": {
+        "world_bank": "TGO",
+        "imf_weo": "TGO",
+        "bis": "TG"
+      }
+    },
+    {
+      "alpha3": "THA",
+      "name": "Thailand",
+      "iso2": "TH",
+      "region": "East Asia & Pacific",
+      "income_group": "Upper middle income",
+      "currency_name": "Thai baht",
+      "source_codes": {
+        "world_bank": "THA",
+        "imf_weo": "THA",
+        "bis": "TH"
+      }
+    },
+    {
+      "alpha3": "TJK",
+      "name": "Tajikistan",
+      "iso2": "TJ",
+      "region": "Europe & Central Asia",
+      "income_group": "Lower middle income",
+      "currency_name": "Tajik somoni",
+      "source_codes": {
+        "world_bank": "TJK",
+        "imf_weo": "TJK",
+        "bis": "TJ"
+      }
+    },
+    {
+      "alpha3": "TKM",
+      "name": "Turkmenistan",
+      "iso2": "TM",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "New Turkmen manat",
+      "source_codes": {
+        "world_bank": "TKM",
+        "imf_weo": "TKM",
+        "bis": "TM"
+      }
+    },
+    {
+      "alpha3": "TLS",
+      "name": "Timor-Leste",
+      "iso2": "TL",
+      "region": "East Asia & Pacific",
+      "income_group": "Lower middle income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "TLS",
+        "imf_weo": "TLS",
+        "bis": "TL"
+      }
+    },
+    {
+      "alpha3": "TON",
+      "name": "Tonga",
+      "iso2": "TO",
+      "region": "East Asia & Pacific",
+      "income_group": "Upper middle income",
+      "currency_name": "Tongan pa'anga",
+      "source_codes": {
+        "world_bank": "TON",
+        "imf_weo": "TON",
+        "bis": "TO"
+      }
+    },
+    {
+      "alpha3": "TTO",
+      "name": "Trinidad and Tobago",
+      "iso2": "TT",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Trinidad and Tobago dollar",
+      "source_codes": {
+        "world_bank": "TTO",
+        "imf_weo": "TTO",
+        "bis": "TT"
+      }
+    },
+    {
+      "alpha3": "TUN",
+      "name": "Tunisia",
+      "iso2": "TN",
+      "region": "Middle East & North Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Tunisian dinar",
+      "source_codes": {
+        "world_bank": "TUN",
+        "imf_weo": "TUN",
+        "bis": "TN"
+      }
+    },
+    {
+      "alpha3": "TUR",
+      "name": "Türkiye",
+      "iso2": "TR",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "New Turkish lira",
+      "source_codes": {
+        "world_bank": "TUR",
+        "imf_weo": "TUR",
+        "bis": "TR"
+      }
+    },
+    {
+      "alpha3": "TUV",
+      "name": "Tuvalu",
+      "iso2": "TV",
+      "region": "East Asia & Pacific",
+      "income_group": "Upper middle income",
+      "currency_name": "Australian dollar",
+      "source_codes": {
+        "world_bank": "TUV",
+        "imf_weo": "TUV",
+        "bis": "TV"
+      }
+    },
+    {
+      "alpha3": "TZA",
+      "name": "Tanzania",
+      "iso2": "TZ",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Tanzanian shilling",
+      "source_codes": {
+        "world_bank": "TZA",
+        "imf_weo": "TZA",
+        "bis": "TZ"
+      }
+    },
+    {
+      "alpha3": "UGA",
+      "name": "Uganda",
+      "iso2": "UG",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Low income",
+      "currency_name": "Ugandan shilling",
+      "source_codes": {
+        "world_bank": "UGA",
+        "imf_weo": "UGA",
+        "bis": "UG"
+      }
+    },
+    {
+      "alpha3": "UKR",
+      "name": "Ukraine",
+      "iso2": "UA",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "Ukrainian hryvnia",
+      "source_codes": {
+        "world_bank": "UKR",
+        "imf_weo": "UKR",
+        "bis": "UA"
+      }
+    },
+    {
+      "alpha3": "URY",
+      "name": "Uruguay",
+      "iso2": "UY",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "Uruguayan peso",
+      "source_codes": {
+        "world_bank": "URY",
+        "imf_weo": "URY",
+        "bis": "UY"
+      }
+    },
+    {
+      "alpha3": "USA",
+      "name": "United States",
+      "iso2": "US",
+      "region": "North America",
+      "income_group": "High income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "USA",
+        "imf_weo": "USA",
+        "bis": "US"
+      }
+    },
+    {
+      "alpha3": "UZB",
+      "name": "Uzbekistan",
+      "iso2": "UZ",
+      "region": "Europe & Central Asia",
+      "income_group": "Lower middle income",
+      "currency_name": "Uzbek som",
+      "source_codes": {
+        "world_bank": "UZB",
+        "imf_weo": "UZB",
+        "bis": "UZ"
+      }
+    },
+    {
+      "alpha3": "VCT",
+      "name": "St. Vincent and the Grenadines",
+      "iso2": "VC",
+      "region": "Latin America & Caribbean",
+      "income_group": "Upper middle income",
+      "currency_name": "East Caribbean dollar",
+      "source_codes": {
+        "world_bank": "VCT",
+        "imf_weo": "VCT",
+        "bis": "VC"
+      }
+    },
+    {
+      "alpha3": "VGB",
+      "name": "British Virgin Islands",
+      "iso2": "VG",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "VGB",
+        "imf_weo": "VGB",
+        "bis": "VG"
+      }
+    },
+    {
+      "alpha3": "VIR",
+      "name": "Virgin Islands (US)",
+      "iso2": "VI",
+      "region": "Latin America & Caribbean",
+      "income_group": "High income",
+      "currency_name": "U.S. dollar",
+      "source_codes": {
+        "world_bank": "VIR",
+        "imf_weo": "VIR",
+        "bis": "VI"
+      }
+    },
+    {
+      "alpha3": "VNM",
+      "name": "Viet Nam",
+      "iso2": "VN",
+      "region": "East Asia & Pacific",
+      "income_group": "Lower middle income",
+      "currency_name": "Vietnamese dong",
+      "source_codes": {
+        "world_bank": "VNM",
+        "imf_weo": "VNM",
+        "bis": "VN"
+      }
+    },
+    {
+      "alpha3": "VUT",
+      "name": "Vanuatu",
+      "iso2": "VU",
+      "region": "East Asia & Pacific",
+      "income_group": "Lower middle income",
+      "currency_name": "Vanuatu vatu",
+      "source_codes": {
+        "world_bank": "VUT",
+        "imf_weo": "VUT",
+        "bis": "VU"
+      }
+    },
+    {
+      "alpha3": "WSM",
+      "name": "Samoa",
+      "iso2": "WS",
+      "region": "East Asia & Pacific",
+      "income_group": "Upper middle income",
+      "currency_name": "Samoan tala",
+      "source_codes": {
+        "world_bank": "WSM",
+        "imf_weo": "WSM",
+        "bis": "WS"
+      }
+    },
+    {
+      "alpha3": "XKX",
+      "name": "Kosovo",
+      "iso2": "XK",
+      "region": "Europe & Central Asia",
+      "income_group": "Upper middle income",
+      "currency_name": "Euro",
+      "source_codes": {
+        "world_bank": "XKX",
+        "imf_weo": "XKX",
+        "bis": "XK"
+      }
+    },
+    {
+      "alpha3": "YEM",
+      "name": "Yemen, Republic of",
+      "iso2": "YE",
+      "region": "Middle East & North Africa",
+      "income_group": "Low income",
+      "currency_name": "Yemeni rial",
+      "source_codes": {
+        "world_bank": "YEM",
+        "imf_weo": "YEM",
+        "bis": "YE"
+      }
+    },
+    {
+      "alpha3": "ZAF",
+      "name": "South Africa",
+      "iso2": "ZA",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Upper middle income",
+      "currency_name": "South African rand",
+      "source_codes": {
+        "world_bank": "ZAF",
+        "imf_weo": "ZAF",
+        "bis": "ZA"
+      }
+    },
+    {
+      "alpha3": "ZMB",
+      "name": "Zambia",
+      "iso2": "ZM",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "New Zambian kwacha",
+      "source_codes": {
+        "world_bank": "ZMB",
+        "imf_weo": "ZMB",
+        "bis": "ZM"
+      }
+    },
+    {
+      "alpha3": "ZWE",
+      "name": "Zimbabwe",
+      "iso2": "ZW",
+      "region": "Sub-Saharan Africa",
+      "income_group": "Lower middle income",
+      "currency_name": "Zimbabwean Zimbabwe Gold",
+      "source_codes": {
+        "world_bank": "ZWE",
+        "imf_weo": "ZWE",
+        "bis": "ZW"
+      }
+    }
+  ],
+  "aggregates": [
+    {
+      "code": "EUU",
+      "name": "European Union",
+      "source": "world_bank",
+      "type": "regional_group"
+    }
+  ],
+  "unmapped": []
+}

_mappings/coverage_matrix.json

@@ -0,0 +1,992 @@
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+  {
+    "indicator_id": "wb.IT.NET.USER.ZS",
+    "source": "world_bank",
+    "countries_with_data": 211,
+    "year_min": 1990,
+    "year_max": 2025,
+    "total_cells": 6024,
+    "non_null_cells": 6024,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wb.IT.CEL.SETS.P2",
+    "source": "world_bank",
+    "countries_with_data": 212,
+    "year_min": 1960,
+    "year_max": 2023,
+    "total_cells": 10331,
+    "non_null_cells": 10331,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wb.GB.XPD.RSDV.GD.ZS",
+    "source": "world_bank",
+    "countries_with_data": 151,
+    "year_min": 1996,
+    "year_max": 2023,
+    "total_cells": 2348,
+    "non_null_cells": 2348,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wb.IP.PAT.RESD",
+    "source": "world_bank",
+    "countries_with_data": 156,
+    "year_min": 1980,
+    "year_max": 2021,
+    "total_cells": 3807,
+    "non_null_cells": 3807,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wb.TX.VAL.TECH.MF.ZS",
+    "source": "world_bank",
+    "countries_with_data": 185,
+    "year_min": 2007,
+    "year_max": 2024,
+    "total_cells": 2647,
+    "non_null_cells": 2647,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wb.SI.POV.GINI",
+    "source": "world_bank",
+    "countries_with_data": 169,
+    "year_min": 1963,
+    "year_max": 2024,
+    "total_cells": 2383,
+    "non_null_cells": 2383,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wb.SI.POV.DDAY",
+    "source": "world_bank",
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+    "year_min": 1963,
+    "year_max": 2024,
+    "total_cells": 2383,
+    "non_null_cells": 2383,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wb.SI.DST.10TH.10",
+    "source": "world_bank",
+    "countries_with_data": 169,
+    "year_min": 1963,
+    "year_max": 2024,
+    "total_cells": 2383,
+    "non_null_cells": 2383,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wb.SI.DST.FRST.10",
+    "source": "world_bank",
+    "countries_with_data": 169,
+    "year_min": 1963,
+    "year_max": 2024,
+    "total_cells": 2383,
+    "non_null_cells": 2383,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wgi.PV.EST",
+    "source": "world_bank_wgi",
+    "countries_with_data": 203,
+    "year_min": 1996,
+    "year_max": 2023,
+    "total_cells": 4975,
+    "non_null_cells": 4975,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wgi.GE.EST",
+    "source": "world_bank_wgi",
+    "countries_with_data": 203,
+    "year_min": 1996,
+    "year_max": 2023,
+    "total_cells": 4914,
+    "non_null_cells": 4914,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wgi.RQ.EST",
+    "source": "world_bank_wgi",
+    "countries_with_data": 203,
+    "year_min": 1996,
+    "year_max": 2023,
+    "total_cells": 4916,
+    "non_null_cells": 4916,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wgi.RL.EST",
+    "source": "world_bank_wgi",
+    "countries_with_data": 203,
+    "year_min": 1996,
+    "year_max": 2023,
+    "total_cells": 5028,
+    "non_null_cells": 5028,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wgi.CC.EST",
+    "source": "world_bank_wgi",
+    "countries_with_data": 203,
+    "year_min": 1996,
+    "year_max": 2023,
+    "total_cells": 4938,
+    "non_null_cells": 4938,
+    "fill_rate_pct": 100.0
+  },
+  {
+    "indicator_id": "wgi.VA.EST",
+    "source": "world_bank_wgi",
+    "countries_with_data": 203,
+    "year_min": 1996,
+    "year_max": 2023,
+    "total_cells": 5001,
+    "non_null_cells": 5001,
+    "fill_rate_pct": 100.0
+  }
+]

_mappings/indicator_crosswalk.json

@@ -0,0 +1 @@
+[]

_mappings/indicators.json

@@ -0,0 +1,1190 @@
+[
+  {
+    "indicator_id": "bis.PX.REX.REER",
+    "indicator_name": "Real Effective Exchange Rate",
+    "source": "bis",
+    "source_name": "BIS",
+    "theme": "Currency",
+    "unit": "index",
+    "description": "Real effective exchange rate index",
+    "wb_code": "PX.REX.REER",
+    "source_url": "https://www.bis.org/statistics/eer.htm",
+    "db_id": 52
+  },
+  {
+    "indicator_id": "imf.GGXCNL_NGDP",
+    "indicator_name": "Budget Deficit",
+    "source": "imf_weo",
+    "source_name": "IMF WEO",
+    "theme": "Government",
+    "unit": "% of GDP",
+    "description": "General government net lending/borrowing as % of GDP",
+    "wb_code": "GGXCNL_NGDP",
+    "source_url": "https://www.imf.org/en/Publications/WEO",
+    "db_id": 106
+  },
+  {
+    "indicator_id": "imf.GGXWDG_NGDP",
+    "indicator_name": "Government Debt to GDP",
+    "source": "imf_weo",
+    "source_name": "IMF WEO",
+    "theme": "Government",
+    "unit": "% of GDP",
+    "description": "General government gross debt as % of GDP",
+    "wb_code": "GGXWDG_NGDP",
+    "source_url": "https://www.imf.org/en/Publications/WEO",
+    "db_id": 105
+  },
+  {
+    "indicator_id": "imf.GGR_NGDP",
+    "indicator_name": "Government Revenue",
+    "source": "imf_weo",
+    "source_name": "IMF WEO",
+    "theme": "Government",
+    "unit": "% of GDP",
+    "description": "General government revenue as % of GDP",
+    "wb_code": "GGR_NGDP",
+    "source_url": "https://www.imf.org/en/Publications/WEO",
+    "db_id": 107
+  },
+  {
+    "indicator_id": "wb.SL.AGR.EMPL.ZS",
+    "indicator_name": "Agriculture Employment",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Employment",
+    "unit": "% of total",
+    "description": "Employment in agriculture",
+    "wb_code": "SL.AGR.EMPL.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SL.AGR.EMPL.ZS",
+    "db_id": 31
+  },
+  {
+    "indicator_id": "wb.NV.AGR.TOTL.ZS",
+    "indicator_name": "Agriculture Value Added",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Economy & Growth",
+    "unit": "% of GDP",
+    "description": "Agriculture, forestry, and fishing value added as % of GDP",
+    "wb_code": "NV.AGR.TOTL.ZS",
+    "source_url": "https://data.worldbank.org/indicator/NV.AGR.TOTL.ZS",
+    "db_id": 7
+  },
+  {
+    "indicator_id": "wb.SP.DYN.CBRT.IN",
+    "indicator_name": "Birth Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Population",
+    "unit": "per 1,000",
+    "description": "Crude birth rate per 1,000 people",
+    "wb_code": "SP.DYN.CBRT.IN",
+    "source_url": "https://data.worldbank.org/indicator/SP.DYN.CBRT.IN",
+    "db_id": 21
+  },
+  {
+    "indicator_id": "wb.FP.CPI.TOTL",
+    "indicator_name": "Consumer Price Index",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Prices & Inflation",
+    "unit": "index",
+    "description": "Consumer price index (2010 = 100)",
+    "wb_code": "FP.CPI.TOTL",
+    "source_url": "https://data.worldbank.org/indicator/FP.CPI.TOTL",
+    "db_id": 14
+  },
+  {
+    "indicator_id": "wb.FS.AST.PRVT.GD.ZS",
+    "indicator_name": "Credit to GDP",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Money",
+    "unit": "% of GDP",
+    "description": "Domestic credit to private sector as % of GDP",
+    "wb_code": "FS.AST.PRVT.GD.ZS",
+    "source_url": "https://data.worldbank.org/indicator/FS.AST.PRVT.GD.ZS",
+    "db_id": 49
+  },
+  {
+    "indicator_id": "wb.BN.CAB.XOKA.GD.ZS",
+    "indicator_name": "Current Account Balance",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Trade",
+    "unit": "% of GDP",
+    "description": "Current account balance as % of GDP",
+    "wb_code": "BN.CAB.XOKA.GD.ZS",
+    "source_url": "https://data.worldbank.org/indicator/BN.CAB.XOKA.GD.ZS",
+    "db_id": 58
+  },
+  {
+    "indicator_id": "wb.SP.DYN.CDRT.IN",
+    "indicator_name": "Death Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Population",
+    "unit": "per 1,000",
+    "description": "Crude death rate per 1,000 people",
+    "wb_code": "SP.DYN.CDRT.IN",
+    "source_url": "https://data.worldbank.org/indicator/SP.DYN.CDRT.IN",
+    "db_id": 22
+  },
+  {
+    "indicator_id": "wb.DT.TDS.DECT.EX.ZS",
+    "indicator_name": "Debt Service",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Debt",
+    "unit": "% of exports",
+    "description": "Total debt service as % of exports",
+    "wb_code": "DT.TDS.DECT.EX.ZS",
+    "source_url": "https://data.worldbank.org/indicator/DT.TDS.DECT.EX.ZS",
+    "db_id": 42
+  },
+  {
+    "indicator_id": "wb.SP.POP.DPND",
+    "indicator_name": "Dependency Ratio",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Population",
+    "unit": "% of working-age",
+    "description": "Age dependency ratio (% of working-age population)",
+    "wb_code": "SP.POP.DPND",
+    "source_url": "https://data.worldbank.org/indicator/SP.POP.DPND",
+    "db_id": 25
+  },
+  {
+    "indicator_id": "wb.FR.INR.DPST",
+    "indicator_name": "Deposit Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Money",
+    "unit": "%",
+    "description": "Deposit interest rate",
+    "wb_code": "FR.INR.DPST",
+    "source_url": "https://data.worldbank.org/indicator/FR.INR.DPST",
+    "db_id": 46
+  },
+  {
+    "indicator_id": "wb.FS.AST.DOMS.GD.ZS",
+    "indicator_name": "Domestic Credit",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Debt",
+    "unit": "% of GDP",
+    "description": "Domestic credit provided by financial sector as % of GDP",
+    "wb_code": "FS.AST.DOMS.GD.ZS",
+    "source_url": "https://data.worldbank.org/indicator/FS.AST.DOMS.GD.ZS",
+    "db_id": 43
+  },
+  {
+    "indicator_id": "wb.SE.XPD.TOTL.GD.ZS",
+    "indicator_name": "Education Spending",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Education",
+    "unit": "% of GDP",
+    "description": "Government expenditure on education as % of GDP",
+    "wb_code": "SE.XPD.TOTL.GD.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SE.XPD.TOTL.GD.ZS",
+    "db_id": 81
+  },
+  {
+    "indicator_id": "wb.EG.ELC.ACCS.ZS",
+    "indicator_name": "Electricity Access",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Energy",
+    "unit": "%",
+    "description": "Access to electricity as % of population",
+    "wb_code": "EG.ELC.ACCS.ZS",
+    "source_url": "https://data.worldbank.org/indicator/EG.ELC.ACCS.ZS",
+    "db_id": 94
+  },
+  {
+    "indicator_id": "wb.EG.USE.PCAP.KG.OE",
+    "indicator_name": "Energy Use per Capita",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Energy",
+    "unit": "kg oil eq.",
+    "description": "Energy use per capita",
+    "wb_code": "EG.USE.PCAP.KG.OE",
+    "source_url": "https://data.worldbank.org/indicator/EG.USE.PCAP.KG.OE",
+    "db_id": 93
+  },
+  {
+    "indicator_id": "wb.PA.NUS.FCRF",
+    "indicator_name": "Exchange Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Currency",
+    "unit": "LCU per USD",
+    "description": "Official exchange rate (LCU per US$, period average)",
+    "wb_code": "PA.NUS.FCRF",
+    "source_url": "https://data.worldbank.org/indicator/PA.NUS.FCRF",
+    "db_id": 51
+  },
+  {
+    "indicator_id": "wb.BX.GSR.GNFS.CD",
+    "indicator_name": "Exports",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Trade",
+    "unit": "USD",
+    "description": "Exports of goods and services",
+    "wb_code": "BX.GSR.GNFS.CD",
+    "source_url": "https://data.worldbank.org/indicator/BX.GSR.GNFS.CD",
+    "db_id": 55
+  },
+  {
+    "indicator_id": "wb.DT.DOD.DECT.CD",
+    "indicator_name": "External Debt",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Debt",
+    "unit": "USD",
+    "description": "Total external debt stocks",
+    "wb_code": "DT.DOD.DECT.CD",
+    "source_url": "https://data.worldbank.org/indicator/DT.DOD.DECT.CD",
+    "db_id": 39
+  },
+  {
+    "indicator_id": "wb.DT.DOD.DECT.GN.ZS",
+    "indicator_name": "External Debt to GNI",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Debt",
+    "unit": "%",
+    "description": "External debt stocks as % of GNI",
+    "wb_code": "DT.DOD.DECT.GN.ZS",
+    "source_url": "https://data.worldbank.org/indicator/DT.DOD.DECT.GN.ZS",
+    "db_id": 40
+  },
+  {
+    "indicator_id": "wb.BX.KLT.DINV.WD.GD.ZS",
+    "indicator_name": "FDI Inflows",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Trade",
+    "unit": "% of GDP",
+    "description": "Foreign direct investment, net inflows as % of GDP",
+    "wb_code": "BX.KLT.DINV.WD.GD.ZS",
+    "source_url": "https://data.worldbank.org/indicator/BX.KLT.DINV.WD.GD.ZS",
+    "db_id": 59
+  },
+  {
+    "indicator_id": "wb.BM.KLT.DINV.WD.GD.ZS",
+    "indicator_name": "FDI Outflows",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Trade",
+    "unit": "% of GDP",
+    "description": "Foreign direct investment, net outflows as % of GDP",
+    "wb_code": "BM.KLT.DINV.WD.GD.ZS",
+    "source_url": "https://data.worldbank.org/indicator/BM.KLT.DINV.WD.GD.ZS",
+    "db_id": 60
+  },
+  {
+    "indicator_id": "wb.SL.TLF.CACT.FE.ZS",
+    "indicator_name": "Female Labor Participation",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Employment",
+    "unit": "%",
+    "description": "Female labor force participation rate",
+    "wb_code": "SL.TLF.CACT.FE.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SL.TLF.CACT.FE.ZS",
+    "db_id": 30
+  },
+  {
+    "indicator_id": "wb.SP.DYN.TFRT.IN",
+    "indicator_name": "Fertility Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Population",
+    "unit": "births per woman",
+    "description": "Total fertility rate",
+    "wb_code": "SP.DYN.TFRT.IN",
+    "source_url": "https://data.worldbank.org/indicator/SP.DYN.TFRT.IN",
+    "db_id": 23
+  },
+  {
+    "indicator_id": "wb.AG.LND.FRST.ZS",
+    "indicator_name": "Forest Area",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Energy",
+    "unit": "% of land",
+    "description": "Forest area as % of land area",
+    "wb_code": "AG.LND.FRST.ZS",
+    "source_url": "https://data.worldbank.org/indicator/AG.LND.FRST.ZS",
+    "db_id": 95
+  },
+  {
+    "indicator_id": "wb.NY.GDP.MKTP.CD",
+    "indicator_name": "GDP",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Economy & Growth",
+    "unit": "USD",
+    "description": "Gross Domestic Product in current US dollars",
+    "wb_code": "NY.GDP.MKTP.CD",
+    "source_url": "https://data.worldbank.org/indicator/NY.GDP.MKTP.CD",
+    "db_id": 1
+  },
+  {
+    "indicator_id": "wb.NY.GDP.DEFL.KD.ZG",
+    "indicator_name": "GDP Deflator",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Economy & Growth",
+    "unit": "%",
+    "description": "Inflation as measured by annual growth rate of GDP implicit deflator",
+    "wb_code": "NY.GDP.DEFL.KD.ZG",
+    "source_url": "https://data.worldbank.org/indicator/NY.GDP.DEFL.KD.ZG",
+    "db_id": 11
+  },
+  {
+    "indicator_id": "wb.NY.GDP.MKTP.KD.ZG",
+    "indicator_name": "GDP Growth",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Economy & Growth",
+    "unit": "%",
+    "description": "Annual percentage growth rate of GDP",
+    "wb_code": "NY.GDP.MKTP.KD.ZG",
+    "source_url": "https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG",
+    "db_id": 3
+  },
+  {
+    "indicator_id": "wb.NY.GDP.PCAP.CD",
+    "indicator_name": "GDP per Capita",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Economy & Growth",
+    "unit": "USD",
+    "description": "GDP divided by midyear population",
+    "wb_code": "NY.GDP.PCAP.CD",
+    "source_url": "https://data.worldbank.org/indicator/NY.GDP.PCAP.CD",
+    "db_id": 2
+  },
+  {
+    "indicator_id": "wb.NY.GDP.PCAP.PP.CD",
+    "indicator_name": "GDP per Capita PPP",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Economy & Growth",
+    "unit": "USD",
+    "description": "GDP per capita based on PPP",
+    "wb_code": "NY.GDP.PCAP.PP.CD",
+    "source_url": "https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD",
+    "db_id": 12
+  },
+  {
+    "indicator_id": "wb.NY.GDP.MKTP.PP.CD",
+    "indicator_name": "GDP PPP",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Economy & Growth",
+    "unit": "USD",
+    "description": "GDP converted to international dollars using PPP rates",
+    "wb_code": "NY.GDP.MKTP.PP.CD",
+    "source_url": "https://data.worldbank.org/indicator/NY.GDP.MKTP.PP.CD",
+    "db_id": 4
+  },
+  {
+    "indicator_id": "wb.SI.POV.GINI",
+    "indicator_name": "Gini Index",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Inequality",
+    "unit": "index",
+    "description": "Gini index (0=perfect equality, 100=perfect inequality)",
+    "wb_code": "SI.POV.GINI",
+    "source_url": "https://data.worldbank.org/indicator/SI.POV.GINI",
+    "db_id": 101
+  },
+  {
+    "indicator_id": "wb.NY.GNP.MKTP.CD",
+    "indicator_name": "GNI",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Economy & Growth",
+    "unit": "USD",
+    "description": "Gross National Income",
+    "wb_code": "NY.GNP.MKTP.CD",
+    "source_url": "https://data.worldbank.org/indicator/NY.GNP.MKTP.CD",
+    "db_id": 5
+  },
+  {
+    "indicator_id": "wb.NY.GNP.PCAP.CD",
+    "indicator_name": "GNI per Capita",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Economy & Growth",
+    "unit": "USD",
+    "description": "GNI divided by midyear population",
+    "wb_code": "NY.GNP.PCAP.CD",
+    "source_url": "https://data.worldbank.org/indicator/NY.GNP.PCAP.CD",
+    "db_id": 6
+  },
+  {
+    "indicator_id": "wb.GC.XPN.TOTL.GD.ZS",
+    "indicator_name": "Government Spending",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Government",
+    "unit": "% of GDP",
+    "description": "Government expenditure as % of GDP",
+    "wb_code": "GC.XPN.TOTL.GD.ZS",
+    "source_url": "https://data.worldbank.org/indicator/GC.XPN.TOTL.GD.ZS",
+    "db_id": 35
+  },
+  {
+    "indicator_id": "wb.NY.GNS.ICTR.ZS",
+    "indicator_name": "Gross Savings",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Economy & Growth",
+    "unit": "% of GDP",
+    "description": "Gross savings as % of GDP",
+    "wb_code": "NY.GNS.ICTR.ZS",
+    "source_url": "https://data.worldbank.org/indicator/NY.GNS.ICTR.ZS",
+    "db_id": 10
+  },
+  {
+    "indicator_id": "wb.SH.XPD.CHEX.PC.CD",
+    "indicator_name": "Health Expenditure per Capita",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Health",
+    "unit": "USD",
+    "description": "Current health expenditure per capita",
+    "wb_code": "SH.XPD.CHEX.PC.CD",
+    "source_url": "https://data.worldbank.org/indicator/SH.XPD.CHEX.PC.CD",
+    "db_id": 74
+  },
+  {
+    "indicator_id": "wb.SH.XPD.CHEX.GD.ZS",
+    "indicator_name": "Health Spending",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Government",
+    "unit": "% of GDP",
+    "description": "Current health expenditure as % of GDP",
+    "wb_code": "SH.XPD.CHEX.GD.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SH.XPD.CHEX.GD.ZS",
+    "db_id": 38
+  },
+  {
+    "indicator_id": "wb.TX.VAL.TECH.MF.ZS",
+    "indicator_name": "High-tech Exports",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Technology",
+    "unit": "% of manufactured",
+    "description": "High-technology exports as % of manufactured exports",
+    "wb_code": "TX.VAL.TECH.MF.ZS",
+    "source_url": "https://data.worldbank.org/indicator/TX.VAL.TECH.MF.ZS",
+    "db_id": 100
+  },
+  {
+    "indicator_id": "wb.SH.MED.BEDS.ZS",
+    "indicator_name": "Hospital Beds",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Health",
+    "unit": "per 1,000",
+    "description": "Hospital beds per 1,000 people",
+    "wb_code": "SH.MED.BEDS.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SH.MED.BEDS.ZS",
+    "db_id": 78
+  },
+  {
+    "indicator_id": "wb.BM.GSR.GNFS.CD",
+    "indicator_name": "Imports",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Trade",
+    "unit": "USD",
+    "description": "Imports of goods and services",
+    "wb_code": "BM.GSR.GNFS.CD",
+    "source_url": "https://data.worldbank.org/indicator/BM.GSR.GNFS.CD",
+    "db_id": 56
+  },
+  {
+    "indicator_id": "wb.SI.DST.FRST.10",
+    "indicator_name": "Income Share Bottom 10%",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Inequality",
+    "unit": "%",
+    "description": "Income share held by lowest 10%",
+    "wb_code": "SI.DST.FRST.10",
+    "source_url": "https://data.worldbank.org/indicator/SI.DST.FRST.10",
+    "db_id": 104
+  },
+  {
+    "indicator_id": "wb.SI.DST.10TH.10",
+    "indicator_name": "Income Share Top 10%",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Inequality",
+    "unit": "%",
+    "description": "Income share held by highest 10%",
+    "wb_code": "SI.DST.10TH.10",
+    "source_url": "https://data.worldbank.org/indicator/SI.DST.10TH.10",
+    "db_id": 103
+  },
+  {
+    "indicator_id": "wb.SL.IND.EMPL.ZS",
+    "indicator_name": "Industry Employment",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Employment",
+    "unit": "% of total",
+    "description": "Employment in industry",
+    "wb_code": "SL.IND.EMPL.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SL.IND.EMPL.ZS",
+    "db_id": 32
+  },
+  {
+    "indicator_id": "wb.NV.IND.TOTL.ZS",
+    "indicator_name": "Industry Value Added",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Economy & Growth",
+    "unit": "% of GDP",
+    "description": "Industry (including construction) value added as % of GDP",
+    "wb_code": "NV.IND.TOTL.ZS",
+    "source_url": "https://data.worldbank.org/indicator/NV.IND.TOTL.ZS",
+    "db_id": 8
+  },
+  {
+    "indicator_id": "wb.SP.DYN.IMRT.IN",
+    "indicator_name": "Infant Mortality Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Health",
+    "unit": "per 1,000",
+    "description": "Infant mortality rate per 1,000 live births",
+    "wb_code": "SP.DYN.IMRT.IN",
+    "source_url": "https://data.worldbank.org/indicator/SP.DYN.IMRT.IN",
+    "db_id": 75
+  },
+  {
+    "indicator_id": "wb.FP.CPI.TOTL.ZG",
+    "indicator_name": "Inflation Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Prices & Inflation",
+    "unit": "%",
+    "description": "Consumer price inflation, annual %",
+    "wb_code": "FP.CPI.TOTL.ZG",
+    "source_url": "https://data.worldbank.org/indicator/FP.CPI.TOTL.ZG",
+    "db_id": 13
+  },
+  {
+    "indicator_id": "wb.FR.INR.LNDP",
+    "indicator_name": "Interest Rate Spread",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Financial Markets",
+    "unit": "%",
+    "description": "Interest rate spread (lending rate minus deposit rate)",
+    "wb_code": "FR.INR.LNDP",
+    "source_url": "https://data.worldbank.org/indicator/FR.INR.LNDP",
+    "db_id": 67
+  },
+  {
+    "indicator_id": "wb.GC.XPN.INTP.RV.ZS",
+    "indicator_name": "Interest Payments to Revenue",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Debt",
+    "unit": "%",
+    "description": "Interest payments as % of revenue",
+    "wb_code": "GC.XPN.INTP.RV.ZS",
+    "source_url": "https://data.worldbank.org/indicator/GC.XPN.INTP.RV.ZS",
+    "db_id": 44
+  },
+  {
+    "indicator_id": "wb.IT.NET.USER.ZS",
+    "indicator_name": "Internet Users",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Technology",
+    "unit": "% of population",
+    "description": "Individuals using the Internet",
+    "wb_code": "IT.NET.USER.ZS",
+    "source_url": "https://data.worldbank.org/indicator/IT.NET.USER.ZS",
+    "db_id": 96
+  },
+  {
+    "indicator_id": "wb.SL.TLF.CACT.ZS",
+    "indicator_name": "Labor Force Participation",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Employment",
+    "unit": "%",
+    "description": "Labor force participation rate",
+    "wb_code": "SL.TLF.CACT.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SL.TLF.CACT.ZS",
+    "db_id": 29
+  },
+  {
+    "indicator_id": "wb.FR.INR.LEND",
+    "indicator_name": "Lending Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Money",
+    "unit": "%",
+    "description": "Lending interest rate",
+    "wb_code": "FR.INR.LEND",
+    "source_url": "https://data.worldbank.org/indicator/FR.INR.LEND",
+    "db_id": 45
+  },
+  {
+    "indicator_id": "wb.SP.DYN.LE00.IN",
+    "indicator_name": "Life Expectancy",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Population",
+    "unit": "years",
+    "description": "Life expectancy at birth, total",
+    "wb_code": "SP.DYN.LE00.IN",
+    "source_url": "https://data.worldbank.org/indicator/SP.DYN.LE00.IN",
+    "db_id": 20
+  },
+  {
+    "indicator_id": "wb.CM.MKT.LDOM.NO",
+    "indicator_name": "Listed Companies",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Financial Markets",
+    "unit": "count",
+    "description": "Number of listed domestic companies",
+    "wb_code": "CM.MKT.LDOM.NO",
+    "source_url": "https://data.worldbank.org/indicator/CM.MKT.LDOM.NO",
+    "db_id": 66
+  },
+  {
+    "indicator_id": "wb.SE.ADT.LITR.ZS",
+    "indicator_name": "Literacy Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Education",
+    "unit": "%",
+    "description": "Adult literacy rate",
+    "wb_code": "SE.ADT.LITR.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SE.ADT.LITR.ZS",
+    "db_id": 79
+  },
+  {
+    "indicator_id": "wb.FM.LBL.BMNY.ZG",
+    "indicator_name": "M2 Money Supply Growth",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Money",
+    "unit": "%",
+    "description": "Broad money growth (annual %)",
+    "wb_code": "FM.LBL.BMNY.ZG",
+    "source_url": "https://data.worldbank.org/indicator/FM.LBL.BMNY.ZG",
+    "db_id": 48
+  },
+  {
+    "indicator_id": "wb.CM.MKT.LCAP.GD.ZS",
+    "indicator_name": "Market Capitalization",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Financial Markets",
+    "unit": "% of GDP",
+    "description": "Market capitalization of listed domestic companies as % of GDP",
+    "wb_code": "CM.MKT.LCAP.GD.ZS",
+    "source_url": "https://data.worldbank.org/indicator/CM.MKT.LCAP.GD.ZS",
+    "db_id": 64
+  },
+  {
+    "indicator_id": "wb.SH.STA.MMRT",
+    "indicator_name": "Maternal Mortality Ratio",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Health",
+    "unit": "per 100,000",
+    "description": "Maternal mortality ratio per 100,000 live births",
+    "wb_code": "SH.STA.MMRT",
+    "source_url": "https://data.worldbank.org/indicator/SH.STA.MMRT",
+    "db_id": 76
+  },
+  {
+    "indicator_id": "wb.MS.MIL.XPND.GD.ZS",
+    "indicator_name": "Military Spending",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Government",
+    "unit": "% of GDP",
+    "description": "Military expenditure as % of GDP",
+    "wb_code": "MS.MIL.XPND.GD.ZS",
+    "source_url": "https://data.worldbank.org/indicator/MS.MIL.XPND.GD.ZS",
+    "db_id": 36
+  },
+  {
+    "indicator_id": "wb.IT.CEL.SETS.P2",
+    "indicator_name": "Mobile Subscriptions",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Technology",
+    "unit": "per 100 people",
+    "description": "Mobile cellular subscriptions per 100 people",
+    "wb_code": "IT.CEL.SETS.P2",
+    "source_url": "https://data.worldbank.org/indicator/IT.CEL.SETS.P2",
+    "db_id": 97
+  },
+  {
+    "indicator_id": "wb.SM.POP.NETM",
+    "indicator_name": "Net Migration",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Population",
+    "unit": "people",
+    "description": "Net migration",
+    "wb_code": "SM.POP.NETM",
+    "source_url": "https://data.worldbank.org/indicator/SM.POP.NETM",
+    "db_id": 24
+  },
+  {
+    "indicator_id": "wb.FB.AST.NPER.ZS",
+    "indicator_name": "Non-Performing Loans",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Money",
+    "unit": "%",
+    "description": "Bank nonperforming loans as % of total gross loans",
+    "wb_code": "FB.AST.NPER.ZS",
+    "source_url": "https://data.worldbank.org/indicator/FB.AST.NPER.ZS",
+    "db_id": 50
+  },
+  {
+    "indicator_id": "wb.IP.PAT.RESD",
+    "indicator_name": "Patent Applications",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Technology",
+    "unit": "count",
+    "description": "Patent applications by residents",
+    "wb_code": "IP.PAT.RESD",
+    "source_url": "https://data.worldbank.org/indicator/IP.PAT.RESD",
+    "db_id": 99
+  },
+  {
+    "indicator_id": "wb.SH.MED.PHYS.ZS",
+    "indicator_name": "Physicians",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Health",
+    "unit": "per 1,000",
+    "description": "Physicians per 1,000 people",
+    "wb_code": "SH.MED.PHYS.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SH.MED.PHYS.ZS",
+    "db_id": 77
+  },
+  {
+    "indicator_id": "wb.SP.POP.TOTL",
+    "indicator_name": "Population",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Population",
+    "unit": "people",
+    "description": "Total population",
+    "wb_code": "SP.POP.TOTL",
+    "source_url": "https://data.worldbank.org/indicator/SP.POP.TOTL",
+    "db_id": 16
+  },
+  {
+    "indicator_id": "wb.EN.POP.DNST",
+    "indicator_name": "Population Density",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Population",
+    "unit": "per km²",
+    "description": "People per sq. km of land area",
+    "wb_code": "EN.POP.DNST",
+    "source_url": "https://data.worldbank.org/indicator/EN.POP.DNST",
+    "db_id": 18
+  },
+  {
+    "indicator_id": "wb.SP.POP.GROW",
+    "indicator_name": "Population Growth",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Population",
+    "unit": "%",
+    "description": "Annual population growth rate",
+    "wb_code": "SP.POP.GROW",
+    "source_url": "https://data.worldbank.org/indicator/SP.POP.GROW",
+    "db_id": 17
+  },
+  {
+    "indicator_id": "wb.SI.POV.DDAY",
+    "indicator_name": "Poverty Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Inequality",
+    "unit": "%",
+    "description": "Poverty headcount ratio at $2.15/day",
+    "wb_code": "SI.POV.DDAY",
+    "source_url": "https://data.worldbank.org/indicator/SI.POV.DDAY",
+    "db_id": 102
+  },
+  {
+    "indicator_id": "wb.PA.NUS.PPP",
+    "indicator_name": "PPP Conversion Factor",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Prices & Inflation",
+    "unit": "LCU per intl $",
+    "description": "PPP conversion factor, GDP",
+    "wb_code": "PA.NUS.PPP",
+    "source_url": "https://data.worldbank.org/indicator/PA.NUS.PPP",
+    "db_id": 15
+  },
+  {
+    "indicator_id": "wb.SE.PRM.CMPT.ZS",
+    "indicator_name": "Primary Completion Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Education",
+    "unit": "%",
+    "description": "Primary completion rate (% of relevant age group)",
+    "wb_code": "SE.PRM.CMPT.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SE.PRM.CMPT.ZS",
+    "db_id": 84
+  },
+  {
+    "indicator_id": "wb.SE.PRM.ENRR",
+    "indicator_name": "Primary Enrollment",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Education",
+    "unit": "%",
+    "description": "School enrollment, primary (% gross)",
+    "wb_code": "SE.PRM.ENRR",
+    "source_url": "https://data.worldbank.org/indicator/SE.PRM.ENRR",
+    "db_id": 82
+  },
+  {
+    "indicator_id": "wb.GB.XPD.RSDV.GD.ZS",
+    "indicator_name": "R&D Spending",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Technology",
+    "unit": "% of GDP",
+    "description": "Research and development expenditure as % of GDP",
+    "wb_code": "GB.XPD.RSDV.GD.ZS",
+    "source_url": "https://data.worldbank.org/indicator/GB.XPD.RSDV.GD.ZS",
+    "db_id": 98
+  },
+  {
+    "indicator_id": "wb.FR.INR.RINR",
+    "indicator_name": "Real Interest Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Money",
+    "unit": "%",
+    "description": "Real interest rate",
+    "wb_code": "FR.INR.RINR",
+    "source_url": "https://data.worldbank.org/indicator/FR.INR.RINR",
+    "db_id": 47
+  },
+  {
+    "indicator_id": "wb.BX.TRF.PWKR.CD.DT",
+    "indicator_name": "Remittances Received",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Trade",
+    "unit": "USD",
+    "description": "Personal remittances received",
+    "wb_code": "BX.TRF.PWKR.CD.DT",
+    "source_url": "https://data.worldbank.org/indicator/BX.TRF.PWKR.CD.DT",
+    "db_id": 61
+  },
+  {
+    "indicator_id": "wb.EG.FEC.RNEW.ZS",
+    "indicator_name": "Renewable Energy",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Energy",
+    "unit": "% of total",
+    "description": "Renewable energy consumption as % of total",
+    "wb_code": "EG.FEC.RNEW.ZS",
+    "source_url": "https://data.worldbank.org/indicator/EG.FEC.RNEW.ZS",
+    "db_id": 92
+  },
+  {
+    "indicator_id": "wb.FI.RES.TOTL.CD",
+    "indicator_name": "Foreign Reserves",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Currency",
+    "unit": "USD",
+    "description": "Total reserves including gold",
+    "wb_code": "FI.RES.TOTL.CD",
+    "source_url": "https://data.worldbank.org/indicator/FI.RES.TOTL.CD",
+    "db_id": 53
+  },
+  {
+    "indicator_id": "wb.FI.RES.TOTL.MO",
+    "indicator_name": "Reserves in Months of Imports",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Currency",
+    "unit": "months",
+    "description": "Total reserves in months of imports",
+    "wb_code": "FI.RES.TOTL.MO",
+    "source_url": "https://data.worldbank.org/indicator/FI.RES.TOTL.MO",
+    "db_id": 54
+  },
+  {
+    "indicator_id": "wb.SE.SEC.ENRR",
+    "indicator_name": "Secondary Enrollment",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Education",
+    "unit": "%",
+    "description": "School enrollment, secondary (% gross)",
+    "wb_code": "SE.SEC.ENRR",
+    "source_url": "https://data.worldbank.org/indicator/SE.SEC.ENRR",
+    "db_id": 83
+  },
+  {
+    "indicator_id": "wb.SL.SRV.EMPL.ZS",
+    "indicator_name": "Services Employment",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Employment",
+    "unit": "% of total",
+    "description": "Employment in services",
+    "wb_code": "SL.SRV.EMPL.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SL.SRV.EMPL.ZS",
+    "db_id": 33
+  },
+  {
+    "indicator_id": "wb.NV.SRV.TOTL.ZS",
+    "indicator_name": "Services Value Added",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Economy & Growth",
+    "unit": "% of GDP",
+    "description": "Services value added as % of GDP",
+    "wb_code": "NV.SRV.TOTL.ZS",
+    "source_url": "https://data.worldbank.org/indicator/NV.SRV.TOTL.ZS",
+    "db_id": 9
+  },
+  {
+    "indicator_id": "wb.DT.DOD.DSTC.ZS",
+    "indicator_name": "Short-term Debt",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Debt",
+    "unit": "% of total",
+    "description": "Short-term debt as % of total external debt",
+    "wb_code": "DT.DOD.DSTC.ZS",
+    "source_url": "https://data.worldbank.org/indicator/DT.DOD.DSTC.ZS",
+    "db_id": 41
+  },
+  {
+    "indicator_id": "wb.CM.MKT.TRNR",
+    "indicator_name": "Stock Turnover Ratio",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Financial Markets",
+    "unit": "%",
+    "description": "Stocks traded, turnover ratio of domestic shares",
+    "wb_code": "CM.MKT.TRNR",
+    "source_url": "https://data.worldbank.org/indicator/CM.MKT.TRNR",
+    "db_id": 65
+  },
+  {
+    "indicator_id": "wb.GC.TAX.TOTL.GD.ZS",
+    "indicator_name": "Tax Revenue",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Government",
+    "unit": "% of GDP",
+    "description": "Tax revenue as % of GDP",
+    "wb_code": "GC.TAX.TOTL.GD.ZS",
+    "source_url": "https://data.worldbank.org/indicator/GC.TAX.TOTL.GD.ZS",
+    "db_id": 34
+  },
+  {
+    "indicator_id": "wb.SE.TER.ENRR",
+    "indicator_name": "Tertiary Enrollment",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Education",
+    "unit": "%",
+    "description": "School enrollment, tertiary (% gross)",
+    "wb_code": "SE.TER.ENRR",
+    "source_url": "https://data.worldbank.org/indicator/SE.TER.ENRR",
+    "db_id": 80
+  },
+  {
+    "indicator_id": "wb.ST.INT.RCPT.CD",
+    "indicator_name": "Tourism Receipts",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Trade",
+    "unit": "USD",
+    "description": "International tourism receipts",
+    "wb_code": "ST.INT.RCPT.CD",
+    "source_url": "https://data.worldbank.org/indicator/ST.INT.RCPT.CD",
+    "db_id": 63
+  },
+  {
+    "indicator_id": "wb.NE.RSB.GNFS.CD",
+    "indicator_name": "Trade Balance",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Trade",
+    "unit": "USD",
+    "description": "External balance on goods and services",
+    "wb_code": "NE.RSB.GNFS.CD",
+    "source_url": "https://data.worldbank.org/indicator/NE.RSB.GNFS.CD",
+    "db_id": 57
+  },
+  {
+    "indicator_id": "wb.NE.TRD.GNFS.ZS",
+    "indicator_name": "Trade Openness",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Trade",
+    "unit": "% of GDP",
+    "description": "Trade as % of GDP",
+    "wb_code": "NE.TRD.GNFS.ZS",
+    "source_url": "https://data.worldbank.org/indicator/NE.TRD.GNFS.ZS",
+    "db_id": 62
+  },
+  {
+    "indicator_id": "wb.SL.UEM.TOTL.ZS",
+    "indicator_name": "Unemployment Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Employment",
+    "unit": "%",
+    "description": "Unemployment as % of total labor force",
+    "wb_code": "SL.UEM.TOTL.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS",
+    "db_id": 27
+  },
+  {
+    "indicator_id": "wb.SP.URB.TOTL.IN.ZS",
+    "indicator_name": "Urban Population",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Population",
+    "unit": "% of total",
+    "description": "Urban population as % of total",
+    "wb_code": "SP.URB.TOTL.IN.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS",
+    "db_id": 19
+  },
+  {
+    "indicator_id": "wb.SE.ADT.1524.LT.ZS",
+    "indicator_name": "Youth Literacy Rate",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Education",
+    "unit": "%",
+    "description": "Literacy rate among youth ages 15-24",
+    "wb_code": "SE.ADT.1524.LT.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SE.ADT.1524.LT.ZS",
+    "db_id": 89
+  },
+  {
+    "indicator_id": "wb.SL.UEM.1524.ZS",
+    "indicator_name": "Youth Unemployment",
+    "source": "world_bank",
+    "source_name": "World Bank",
+    "theme": "Employment",
+    "unit": "%",
+    "description": "Youth unemployment (ages 15-24)",
+    "wb_code": "SL.UEM.1524.ZS",
+    "source_url": "https://data.worldbank.org/indicator/SL.UEM.1524.ZS",
+    "db_id": 28
+  },
+  {
+    "indicator_id": "wgi.CC.EST",
+    "indicator_name": "Control of Corruption",
+    "source": "world_bank_wgi",
+    "source_name": "World Bank WGI",
+    "theme": "Political Stability",
+    "unit": "index",
+    "description": "Control of Corruption",
+    "wb_code": "CC.EST",
+    "source_url": "https://info.worldbank.org/governance/wgi/",
+    "db_id": 72
+  },
+  {
+    "indicator_id": "wgi.GE.EST",
+    "indicator_name": "Government Effectiveness",
+    "source": "world_bank_wgi",
+    "source_name": "World Bank WGI",
+    "theme": "Political Stability",
+    "unit": "index",
+    "description": "Government Effectiveness",
+    "wb_code": "GE.EST",
+    "source_url": "https://info.worldbank.org/governance/wgi/",
+    "db_id": 69
+  },
+  {
+    "indicator_id": "wgi.PV.EST",
+    "indicator_name": "Political Stability",
+    "source": "world_bank_wgi",
+    "source_name": "World Bank WGI",
+    "theme": "Political Stability",
+    "unit": "index",
+    "description": "Political Stability and Absence of Violence/Terrorism",
+    "wb_code": "PV.EST",
+    "source_url": "https://info.worldbank.org/governance/wgi/",
+    "db_id": 68
+  },
+  {
+    "indicator_id": "wgi.RQ.EST",
+    "indicator_name": "Regulatory Quality",
+    "source": "world_bank_wgi",
+    "source_name": "World Bank WGI",
+    "theme": "Political Stability",
+    "unit": "index",
+    "description": "Regulatory Quality",
+    "wb_code": "RQ.EST",
+    "source_url": "https://info.worldbank.org/governance/wgi/",
+    "db_id": 70
+  },
+  {
+    "indicator_id": "wgi.RL.EST",
+    "indicator_name": "Rule of Law",
+    "source": "world_bank_wgi",
+    "source_name": "World Bank WGI",
+    "theme": "Political Stability",
+    "unit": "index",
+    "description": "Rule of Law",
+    "wb_code": "RL.EST",
+    "source_url": "https://info.worldbank.org/governance/wgi/",
+    "db_id": 71
+  },
+  {
+    "indicator_id": "wgi.VA.EST",
+    "indicator_name": "Voice and Accountability",
+    "source": "world_bank_wgi",
+    "source_name": "World Bank WGI",
+    "theme": "Political Stability",
+    "unit": "index",
+    "description": "Voice and Accountability",
+    "wb_code": "VA.EST",
+    "source_url": "https://info.worldbank.org/governance/wgi/",
+    "db_id": 73
+  }
+]

_mappings/source_metadata.json

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+{
+  "bis": {
+    "rows": 4931,
+    "indicators": 1,
+    "countries": 106,
+    "year_min": 1964,
+    "year_max": 2026,
+    "last_updated": "2026-03-21"
+  },
+  "imf_weo": {
+    "rows": 18218,
+    "indicators": 3,
+    "countries": 193,
+    "year_min": 1980,
+    "year_max": 2024,
+    "last_updated": "2026-03-21"
+  },
+  "world_bank": {
+    "rows": 638294,
+    "indicators": 89,
+    "countries": 215,
+    "year_min": 1960,
+    "year_max": 2025,
+    "last_updated": "2026-03-21"
+  },
+  "world_bank_wgi": {
+    "rows": 29772,
+    "indicators": 6,
+    "countries": 203,
+    "year_min": 1996,
+    "year_max": 2023,
+    "last_updated": "2026-03-21"
+  }
+}

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examples/quickstart.R

@@ -0,0 +1,50 @@
+# HistorySaid Global Economic Dataset — R Quick Start
+# Requires: readr, dplyr, ggplot2
+
+library(readr)
+library(dplyr)
+library(ggplot2)
+
+# Load the unified dataset
+df <- read_csv("data/unified/all_indicators.csv", show_col_types = FALSE)
+
+cat(sprintf("Dataset: %s rows, %d countries, %d indicators\n",
+            format(nrow(df), big.mark = ","),
+            n_distinct(df$country_code),
+            n_distinct(df$indicator_id)))
+cat(sprintf("Year range: %d–%d\n\n", min(df$year), max(df$year)))
+
+# --- Filter by country and indicator ---
+usa_gdp <- df %>%
+  filter(country_code == "USA", indicator_id == "wb.NY.GDP.MKTP.CD", !is.na(value)) %>%
+  arrange(year)
+
+cat("USA GDP (last 10 years):\n")
+print(tail(usa_gdp %>% select(year, value), 10))
+
+# --- Compare countries ---
+countries <- c("USA", "CHN", "DEU", "JPN", "IND")
+gdp_compare <- df %>%
+  filter(indicator_id == "wb.NY.GDP.MKTP.CD",
+         country_code %in% countries,
+         year == 2022) %>%
+  arrange(desc(value))
+
+cat("\nGDP comparison (2022):\n")
+print(gdp_compare %>% select(country_name, value))
+
+# --- Plot time series ---
+plot_data <- df %>%
+  filter(indicator_id == "wb.NY.GDP.MKTP.CD",
+         country_code %in% countries,
+         !is.na(value)) %>%
+  mutate(value_t = value / 1e12)
+
+p <- ggplot(plot_data, aes(x = year, y = value_t, color = country_name)) +
+  geom_line(linewidth = 0.8) +
+  labs(title = "GDP (trillions USD)",
+       x = "Year", y = "Trillions USD", color = "Country") +
+  theme_minimal()
+
+ggsave("gdp_comparison.png", p, width = 10, height = 5, dpi = 150)
+cat("Plot saved to gdp_comparison.png\n")

examples/quickstart.py

@@ -0,0 +1,45 @@
+"""
+HistorySaid Global Economic Dataset — Python Quick Start
+Requires: pandas, matplotlib
+"""
+
+import pandas as pd
+import matplotlib.pyplot as plt
+
+# Load the unified dataset
+df = pd.read_parquet("data/unified/all_indicators.parquet")
+
+print(f"Dataset: {len(df):,} rows, {df['country_code'].nunique()} countries, {df['indicator_id'].nunique()} indicators")
+print(f"Year range: {df['year'].min()}–{df['year'].max()}")
+print()
+
+# --- Filter by country and indicator ---
+usa_gdp = df[(df["country_code"] == "USA") & (df["indicator_id"] == "wb.NY.GDP.MKTP.CD")]
+usa_gdp = usa_gdp.dropna(subset=["value"]).sort_values("year")
+print("USA GDP (last 10 years):")
+print(usa_gdp[["year", "value"]].tail(10).to_string(index=False))
+print()
+
+# --- Compare countries ---
+countries = ["USA", "CHN", "DEU", "JPN", "IND"]
+gdp = df[(df["indicator_id"] == "wb.NY.GDP.MKTP.CD") & (df["country_code"].isin(countries)) & (df["year"] == 2022)]
+gdp = gdp.sort_values("value", ascending=False)
+print("GDP comparison (2022):")
+print(gdp[["country_name", "value"]].to_string(index=False))
+print()
+
+# --- Plot time series ---
+fig, ax = plt.subplots(figsize=(10, 5))
+for cc in countries:
+    sub = df[(df["country_code"] == cc) & (df["indicator_id"] == "wb.NY.GDP.MKTP.CD")]
+    sub = sub.dropna(subset=["value"]).sort_values("year")
+    ax.plot(sub["year"], sub["value"] / 1e12, label=sub["country_name"].iloc[0])
+
+ax.set_title("GDP (trillions USD)")
+ax.set_xlabel("Year")
+ax.set_ylabel("Trillions USD")
+ax.legend()
+ax.grid(True)
+plt.tight_layout()
+plt.savefig("gdp_comparison.png", dpi=150)
+print("Plot saved to gdp_comparison.png")

examples/sample_queries.md

@@ -0,0 +1,104 @@
+# Sample Queries
+
+All queries assume you are in the `historysaid-global-economic-dataset/` directory.
+
+## Get GDP for a specific country
+
+### Python
+```python
+import pandas as pd
+df = pd.read_parquet("data/unified/all_indicators.parquet")
+turkey_gdp = df[(df["country_code"] == "TUR") & (df["indicator_id"] == "wb.NY.GDP.MKTP.CD")]
+turkey_gdp = turkey_gdp.dropna(subset=["value"]).sort_values("year")
+print(turkey_gdp[["year", "value"]].tail(10))
+```
+
+### R
+```r
+library(readr); library(dplyr)
+df <- read_csv("data/unified/all_indicators.csv", show_col_types = FALSE)
+df %>% filter(country_code == "TUR", indicator_id == "wb.NY.GDP.MKTP.CD", !is.na(value)) %>%
+  arrange(year) %>% select(year, value) %>% tail(10) %>% print()
+```
+
+## Compare an indicator across countries
+
+### Python
+```python
+countries = ["USA", "CHN", "IND", "BRA", "NGA"]
+inflation = df[(df["indicator_id"] == "wb.FP.CPI.TOTL.ZG") & (df["country_code"].isin(countries)) & (df["year"] == 2023)]
+print(inflation[["country_name", "year", "value"]].sort_values("value"))
+```
+
+### R
+```r
+df %>% filter(indicator_id == "wb.FP.CPI.TOTL.ZG",
+              country_code %in% c("USA", "CHN", "IND", "BRA", "NGA"),
+              year == 2023) %>%
+  select(country_name, year, value) %>% arrange(value) %>% print()
+```
+
+## Find all available indicators for a country
+
+### Python
+```python
+japan = df[df["country_code"] == "JPN"]
+indicators = japan.groupby(["indicator_id", "indicator_name"]).agg(
+    years=("year", "count"),
+    non_null=("value", "count")
+).reset_index()
+print(indicators.sort_values("indicator_id"))
+```
+
+### R
+```r
+df %>% filter(country_code == "JPN") %>%
+  group_by(indicator_id, indicator_name) %>%
+  summarise(years = n(), non_null = sum(!is.na(value)), .groups = "drop") %>%
+  arrange(indicator_id) %>% print(n = Inf)
+```
+
+## Plot a time series
+
+### Python
+```python
+import matplotlib.pyplot as plt
+pop = df[(df["country_code"] == "DEU") & (df["indicator_id"] == "wb.SP.POP.TOTL")]
+pop = pop.dropna(subset=["value"]).sort_values("year")
+plt.plot(pop["year"], pop["value"] / 1e6)
+plt.title("Germany Population (millions)")
+plt.xlabel("Year")
+plt.ylabel("Millions")
+plt.grid(True)
+plt.tight_layout()
+plt.show()
+```
+
+### R
+```r
+library(ggplot2)
+df %>% filter(country_code == "DEU", indicator_id == "wb.SP.POP.TOTL", !is.na(value)) %>%
+  ggplot(aes(x = year, y = value / 1e6)) +
+  geom_line() +
+  labs(title = "Germany Population (millions)", x = "Year", y = "Millions") +
+  theme_minimal()
+```
+
+## Check data coverage for an indicator
+
+### Python
+```python
+import json
+with open("_mappings/coverage_matrix.json") as f:
+    coverage = json.load(f)
+for c in sorted(coverage, key=lambda x: x["fill_rate_pct"], reverse=True)[:10]:
+    print(f"{c['indicator_id']}: {c['countries_with_data']} countries, {c['fill_rate_pct']}% fill rate")
+```
+
+### R
+```r
+library(jsonlite)
+coverage <- fromJSON("_mappings/coverage_matrix.json")
+coverage %>% arrange(desc(fill_rate_pct)) %>% head(10) %>%
+  select(indicator_id, countries_with_data, fill_rate_pct) %>% print()
+```