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electricsheepasia/asia-owid-legislative-corruption-score

Legislative Corruption Score | Asia (Our World in Data) 🌏 3,373 observations Β· 47 Asia countries Β· 1867–2025 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 3,373 observations of Legislative Corruption Score data across 47 Asia countries, spanning 1867–2025. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Legislative Corruption Score Geographic coverage 47 Asia… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-legislative-corruption-score.

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Dataset Card

Legislative Corruption Score | Asia (Our World in Data)

🌏 3,373 observations Β· 47 Asia countries Β· 1867–2025 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 3,373 observations of Legislative Corruption Score data across 47 Asia countries, spanning 1867–2025.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Legislative Corruption Score

Geographic coverage

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

CountryRowsFirst yearLast year
SGP15918672025
JPN13718892025
LKA12619002025
IND12419002025
PHL12119002025
TUR11718762025
IRN10819062025
LBN10419222025
MNG10219242025
SAU9419322025
MDV9319332025
JOR8519292025
THA8419322025
IDN8119452025
AFG8119232021
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”1923
Legislative Corruption Scorefloat64β€”0.526

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-legislative-corruption-score")
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="Legislative Corruption Score")

Citation

bibtex
@misc{asia_owid_legislative_corruption_score_2025,
  title        = {Legislative Corruption Score | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/legislative-corruption-score},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-legislative-corruption-score}}
}

License

Released under cc-by-4.0.

Original data Β© 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/legislative-corruption-score