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electricsheepeurope/europe-owid-representation-of-women-in-the-judiciary

Representation Of Women In The Judiciary | Europe (Our World in Data) 🇪🇺 219 observations · 42 Europe countries · 2010–2025 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 219 observations of Representation Of Women In The Judiciary data across 42 Europe countries, spanning 2010–2025. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Representation Of Women In The Judiciary… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-representation-of-women-in-the-judiciary.

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Dataset Card

Representation Of Women In The Judiciary | Europe (Our World in Data)

🇪🇺 219 observations · 42 Europe countries · 2010–2025 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 219 observations of Representation Of Women In The Judiciary data across 42 Europe countries, spanning 2010–2025.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Representation Of Women In The Judiciary

Geographic coverage

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

CountryRowsFirst yearLast year
DEU1320102022
GBR1020152024
SMR820152022
CHE720162023
DNK720162023
AUT720162024
EST620162024
HRV620162025
CZE620162023
HUN620162023
MLT620162023
PRT620162024
SWE620162022
FIN620162023
MDA620162023
...27 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Andorra
country_iso3string—AND
yearint64—2016
Proportions of positions in the judiciary compared to national distributions (ratio) - All age ranges or no breaks by age - No breakdown by disability - TOTAL - Female - JUDGESfloat64—1.15

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-representation-of-women-in-the-judiciary")
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="Proportions of positions in the judiciary compared to national distributions (ratio) - All age ranges or no breaks by age - No breakdown by disability - TOTAL - Female - JUDGES")

Citation

bibtex
@misc{europe_owid_representation_of_women_in_the_judiciary_2025,
  title        = {Representation Of Women In The Judiciary | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/representation-of-women-in-the-judiciary},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-representation-of-women-in-the-judiciary}}
}

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 2026-06-07 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/representation-of-women-in-the-judiciary