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electricsheepeurope/europe-owid-gdp-per-capita-maddison-project-database

Gdp Per Capita Maddison Project Database | Europe (Our World in Data) 🇪🇺 8,536 observations · 39 Europe countries · 1–2022 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 8,536 observations of Gdp Per Capita Maddison Project Database data across 39 Europe countries, spanning 1–2022. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Gdp Per Capita Maddison Project Database… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-gdp-per-capita-maddison-project-database.

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Dataset Card

Gdp Per Capita Maddison Project Database | Europe (Our World in Data)

🇪🇺 8,536 observations · 39 Europe countries · 1–2022 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 8,536 observations of Gdp Per Capita Maddison Project Database data across 39 Europe countries, spanning 1–2022.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Gdp Per Capita Maddison Project Database

Geographic coverage

39 Europe countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
GBR77210002022
FRA74812022
ESP74712022
SWE72313002022
NLD66913482022
POL57114002022
DEU52315002022
PRT48212022
ITA23012022
DNK20318202022
NOR19418202022
GRC19112022
BEL18612022
CHE17312022
FIN17016002022
...24 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—1870
GDP per capitafloat64—711.0
GDP per capita (Annotations)string——

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-gdp-per-capita-maddison-project-database")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="GDP per capita")

Citation

bibtex
@misc{europe_owid_gdp_per_capita_maddison_project_database_2022,
  title        = {Gdp Per Capita Maddison Project Database | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2022},
  url          = {https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-gdp-per-capita-maddison-project-database}}
}

License

Released under cc-by-4.0.

Original data © Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepeurope


Provenance: ingested 2026-06-08 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database