CoolFace
Datasetpublic

electricsheepasia/asia-owid-law-mandate-nondiscrimination-hiring

Law Mandate Nondiscrimination Hiring | Asia (Our World in Data) 🌏 2,484 observations · 46 Asia countries · 1970–2023 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 2,484 observations of Law Mandate Nondiscrimination Hiring data across 46 Asia countries, spanning 1970–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Law Mandate Nondiscrimination Hiring… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-law-mandate-nondiscrimination-hiring.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes22downloads
Dataset Card

Law Mandate Nondiscrimination Hiring | Asia (Our World in Data)

🌏 2,484 observations · 46 Asia countries · 1970–2023 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 2,484 observations of Law Mandate Nondiscrimination Hiring data across 46 Asia countries, spanning 1970–2023.

About the source

Geographic coverage

46 Asia countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
AFG5419702023
ARE5419702023
ARM5419702023
AZE5419702023
BGD5419702023
BHR5419702023
BRN5419702023
BTN5419702023
CHN5419702023
CYP5419702023
GEO5419702023
IDN5419702023
IND5419702023
IRN5419702023
IRQ5419702023
...31 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—1970
Employment discrimination based on gender prohibitedint64—0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-law-mandate-nondiscrimination-hiring")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Employment discrimination based on gender prohibited")

Citation

bibtex
@misc{asia_owid_law_mandate_nondiscrimination_hiring_2023,
  title        = {Law Mandate Nondiscrimination Hiring | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/law-mandate-nondiscrimination-hiring},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-law-mandate-nondiscrimination-hiring}}
}

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 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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/law-mandate-nondiscrimination-hiring