electricsheepasia/asia-owid-female-labor-force-participation-rates-by-family-benefits-public-spending
Female Labor Force Participation Rates By Family Benefits Public Spending | Asia (Our World in Data) ๐ 1,743 observations ยท 48 Asia countries ยท 1980โ2025 ยท Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,743 observations of Female Labor Force Participation Rates By Family Benefits Public Spending data across 48 Asia countries, spanning 1980โ2025. About the source Source: Our World in Data Publisher: Our World in Data License:โฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-female-labor-force-participation-rates-by-family-benefits-public-spending.
Female Labor Force Participation Rates By Family Benefits Public Spending | Asia (Our World in Data)
๐ 1,743 observations ยท 48 Asia countries ยท 1980โ2025 ยท Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)
TL;DR
This dataset contains 1,743 observations of Female Labor Force Participation Rates By Family Benefits Public Spending data across 48 Asia countries, spanning 1980โ2025.
About the source
- Source: Our World in Data
- Publisher: Our World in Data
- License: cc-by-4.0
- Topic: Female Labor Force Participation Rates By Family Benefits Public Spending
Geographic coverage
48 Asia countries ยท top rows shown below, sorted by row count:
Schema
Data quality & caveats
Female labor force participation ratecolumn has 1.1% null values (filtered to non-null in this dataset).
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-owid-female-labor-force-participation-rates-by-family-benefits-public-spending")
df = ds["train"].to_pandas()
print(df.head())Filter to one country
indonesia = df[df["country_iso3"] == "IDN"]Time-series for a single indicator
sample = df.sort_values("year")
sample.plot(x="year", y="Female labor force participation rate")Citation
@misc{asia_owid_female_labor_force_participation_rates_by_family_benefits_public_spending_2025,
title = {Female Labor Force Participation Rates By Family Benefits Public Spending | Asia (Our World in Data)},
author = {Our World in Data},
year = {2025},
url = {https://ourworldindata.org/grapher/female-labor-force-participation-rates-by-family-benefits-public-spending},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-female-labor-force-participation-rates-by-family-benefits-public-spending}}
}License
Released under cc-by-4.0.
Original data ยฉ Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Asia repackaging.
About Electric Sheep
Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia 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/electricsheepasia
Provenance: ingested 2026-06-08 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/female-labor-force-participation-rates-by-family-benefits-public-spending
