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electricsheepeurope/europe-owid-female-labor-force-participation-rates-slopes

Female Labor Force Participation Rates Slopes | Europe (Our World in Data) 🇪🇺 1,527 observations · 42 Europe countries · 1960–2024 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 1,527 observations of Female Labor Force Participation Rates Slopes data across 42 Europe countries, spanning 1960–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Female Labor Force… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-female-labor-force-participation-rates-slopes.

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Dataset Card

Female Labor Force Participation Rates Slopes | Europe (Our World in Data)

🇪🇺 1,527 observations · 42 Europe countries · 1960–2024 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 1,527 observations of Female Labor Force Participation Rates Slopes data across 42 Europe countries, spanning 1960–2024.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Female Labor Force Participation Rates Slopes

Geographic coverage

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

CountryRowsFirst yearLast year
DNK5119602024
ESP5019602024
ITA5019612024
GBR4919612024
FRA4919622024
IRL4819612024
FIN4819602024
PRT4819602024
BEL4819612024
HUN4719602024
NLD4719602024
NOR4719602024
LUX4619602024
GRC4619612024
AUT4619612024
...27 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—1960
Female labor force participation ratefloat64—36.35

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-female-labor-force-participation-rates-slopes")
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="Female labor force participation rate")

Citation

bibtex
@misc{europe_owid_female_labor_force_participation_rates_slopes_2024,
  title        = {Female Labor Force Participation Rates Slopes | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/female-labor-force-participation-rates-slopes},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-female-labor-force-participation-rates-slopes}}
}

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/female-labor-force-participation-rates-slopes