Catalog / Groningen Growth and Development Centre (GGDC), University of Groningen — Penn World Table

pwt

Groningen Growth and Development Centre (GGDC), University of Groningen — Penn World Table

Open · redistributedCreative Commons Attribution 4.0 (CC BY 4.0)Long-Run & HistoricalMacroeconomics

Redistributable. This source is served as canonical Parquet under the license below, with attribution and provenance preserved.

Coverage

Series catalogued

7,159

Temporal coverage

1950-12-31 – 2019-12-31

Licensing & provenance

License: Creative Commons Attribution 4.0 (CC BY 4.0)
License URL: https://creativecommons.org/licenses/by/4.0/
Required attribution: Source: Penn World Table, Feenstra, Inklaar and Timmer, Groningen Growth and Development Centre (CC BY 4.0)
Redistribution: Permitted (served here)
Commercial use: Yes
Modification: Permitted
Provider homepage: https://www.rug.nl/ggdc/productivity/pwt/
Provider terms: https://www.rug.nl/ggdc/productivity/pwt/

How to cite

Groningen Growth and Development Centre (GGDC), University of Groningen — Penn World Table. Retrieved from https://www.rug.nl/ggdc/productivity/pwt/. Compiled and redistributed by the Elkassabgi Data Library.

Processing: Retrieved from the official source, normalized to a long {series_key, obs_date, value} schema (period-start dates), de-duplicated, and stored as zstd Parquet. Compiled and redistributed by the Elkassabgi Data Library.

Access & mirrors

Download: Select & download pwt series as CSV →
API: Get a free API key, then GET /v1/series/<id>.csv
Canonical landing: https://econdatalibrary.com/pwt
Update cadence: static
Automated refresh: live — this database is on the daily update run
Update strategy: overwrite if changed
Storage layout: single file data/clean_full/pwt/pwt.parquet, columns series_key/obs_date/value, series_key='<variable>:<ISO3>' (note ':' separator, unlike penn_world_table's '|'); annual Dec-31. No raw cache, no summary json. One file on disk.

Full description

Penn World Tables (PWT) 10.0 — real GDP, TFP, capital, labour across 183 countries. License: CC BY 4.0 Source: https://www.rug.nl/ggdc/productivity/pwt/ No API key required (direct XLSX download). Variables (47): rgdpe, rgdpo, pop, emp, avh, hc, ccon, cda, cgdpe, cgdpo, cn, ck, ctfp, cwtfp, rconna, rdana, irr, delta, xr, pl_con, pl_da, pl_gdpo, i_cig, i_xm, i_xr, i_outlier, i_irr, cor_exp, statcap, csh_c, csh_i, csh_g, csh_x, csh_m, csh_r, pl_c, pl_i, pl_g, pl_x, pl_m, pl_n, pl_k, labsh, ulc, tfpna, rnna, rcon Run: python jobs/ingest_pwt.py

Structured metadata

schema.org/Dataset (Google Dataset Search)

{
  "@context": "https://schema.org/",
  "@type": "Dataset",
  "name": "Groningen Growth and Development Centre (GGDC), University of Groningen — Penn World Table",
  "description": "Real consumption of households and government, at current PPPs (in mil. 2017US$). GGDC. 7,159 series, 1950–2019. Free download.",
  "url": "https://econdatalibrary.com/pwt",
  "identifier": "pwt",
  "isAccessibleForFree": true,
  "publisher": {
    "@type": "Organization",
    "name": "Econ Data Library",
    "url": "https://econdatalibrary.com"
  },
  "includedInDataCatalog": {
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    "@id": "https://econdatalibrary.com/#catalog",
    "name": "Econ Data Library",
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  },
  "creator": {
    "@type": "Organization",
    "name": "Groningen Growth and Development Centre, University of Groningen",
    "alternateName": "GGDC",
    "url": "https://www.rug.nl/ggdc/productivity/pwt/"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "keywords": [
    "Long-Run & Historical",
    "Macroeconomics",
    "pwt"
  ],
  "temporalCoverage": "1950-12-31/2019-12-31",
  "creditText": "Source: Penn World Table, Feenstra, Inklaar and Timmer, Groningen Growth and Development Centre (CC BY 4.0)",
  "citation": "Groningen Growth and Development Centre (GGDC), University of Groningen — Penn World Table. Retrieved from https://www.rug.nl/ggdc/productivity/pwt/. Compiled and redistributed by the Elkassabgi Data Library.",
  "sameAs": [
    "https://huggingface.co/datasets/econdatalibrary-pwt",
    "https://zenodo.org/communities/econdatalibrary"
  ],
  "distribution": [
    {
      "@type": "DataDownload",
      "name": "pwt — CSV",
      "encodingFormat": "text/csv",
      "contentUrl": "https://econdatalibrary.com/download.html?source=pwt",
      "license": "https://creativecommons.org/licenses/by/4.0/"
    }
  ]
}

Croissant (ML-ready, schema.org JSON-LD)

{
  "@context": {
    "@language": "en",
    "@vocab": "https://schema.org/",
    "cr": "http://mlcommons.org/croissant/",
    "data": {
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    },
    "sc": "https://schema.org/",
    "conformsTo": "dct:conformsTo",
    "dct": "http://purl.org/dc/terms/"
  },
  "@type": "sc:Dataset",
  "conformsTo": "http://mlcommons.org/croissant/1.0",
  "name": "pwt",
  "description": "Real consumption of households and government, at current PPPs (in mil. 2017US$). GGDC. 7,159 series, 1950–2019. Free download.",
  "url": "https://econdatalibrary.com/pwt",
  "creator": {
    "@type": "sc:Organization",
    "name": "Groningen Growth and Development Centre, University of Groningen",
    "alternateName": "GGDC",
    "url": "https://www.rug.nl/ggdc/productivity/pwt/"
  },
  "publisher": {
    "@type": "sc:Organization",
    "name": "Econ Data Library",
    "url": "https://econdatalibrary.com"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "keywords": [
    "Long-Run & Historical",
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  ],
  "temporalCoverage": "1950-12-31/2019-12-31",
  "citation": "Groningen Growth and Development Centre (GGDC), University of Groningen — Penn World Table. Retrieved from https://www.rug.nl/ggdc/productivity/pwt/. Compiled and redistributed by the Elkassabgi Data Library.",
  "distribution": [
    {
      "@type": "cr:FileObject",
      "@id": "pwt-csv",
      "name": "pwt-csv",
      "description": "Per-series CSV, downloadable with a free API key.",
      "contentUrl": "https://econdatalibrary.com/download.html?source=pwt",
      "encodingFormat": "text/csv"
    }
  ]
}

Part of the Econ Data Library catalog · metadata generated 2026-08-02 from the central registry · browse all datasets