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electricsheepeurope/europe-owid-gender-wage-gap-oecd

Gender Wage Gap Oecd | Europe (Our World in Data) 🇪🇺 391 observations · 26 Europe countries · 1970–2016 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 391 observations of Gender Wage Gap Oecd data across 26 Europe countries, spanning 1970–2016. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Gender Wage Gap Oecd Geographic coverage 26 Europe countries · top… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-gender-wage-gap-oecd.

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Dataset Card

Gender Wage Gap Oecd | Europe (Our World in Data)

🇪🇺 391 observations · 26 Europe countries · 1970–2016 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 391 observations of Gender Wage Gap Oecd data across 26 Europe countries, spanning 1970–2016.

About the source

—Source: Our World in Data
—Publisher: Our World in Data
—License: cc-by-4.0
—Topic: Gender Wage Gap Oecd

Geographic coverage

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

Country	Rows	First year	Last year
`GBR`	47	1970	2016
`FIN`	37	1977	2015
`SWE`	36	1975	2013
`HUN`	24	1989	2015
`DEU`	23	1992	2014
`CZE`	19	1996	2016
`NOR`	19	1997	2015
`POL`	17	1991	2014
`BEL`	16	1999	2014
`AUT`	16	2000	2015
`IRL`	16	1994	2015
`SVK`	15	2002	2016
`ITA`	15	1986	2014
`DNK`	14	2002	2015
`PRT`	12	2004	2015
...	11 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Austria`
`country_iso3`	`string`	—	`AUT`
`year`	`int64`	—	`2000`
`The gender wage gap`	`float64`	—	`23.1`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-gender-wage-gap-oecd")
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="The gender wage gap")

Citation

bibtex

@misc{europe_owid_gender_wage_gap_oecd_2016,
  title        = {Gender Wage Gap Oecd | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2016},
  url          = {https://ourworldindata.org/grapher/gender-wage-gap-oecd},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-gender-wage-gap-oecd}}
}

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/gender-wage-gap-oecd