CoolFace
Datasetpublic

electricsheepasia/asia-owid-political-corruption-index

Political Corruption Index | Asia (Our World in Data) 🌏 6,253 observations Β· 48 Asia countries Β· 1789–2025 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 6,253 observations of Political Corruption Index data across 48 Asia countries, spanning 1789–2025. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Political Corruption Index Geographic coverage 48 Asia… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-political-corruption-index.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes32downloads
Dataset Card

Political Corruption Index | Asia (Our World in Data)

🌏 6,253 observations Β· 48 Asia countries Β· 1789–2025 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 6,253 observations of Political Corruption Index data across 48 Asia countries, spanning 1789–2025.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
AFG23717892025
CHN23717892025
IRN23717892025
NPL23717892025
MMR23717892025
KWT23717892025
KOR23717892025
JPN23717892025
THA23717892025
TUR23717892025
OMN23717892025
IND23617902025
SAU23417892025
IDN22618002025
UZB16817892025
...33 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”1789
Political Corruption Indexfloat64β€”0.418
World region according to OWIDstringβ€”Asia

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-political-corruption-index")
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="Political Corruption Index")

Citation

bibtex
@misc{asia_owid_political_corruption_index_2025,
  title        = {Political Corruption Index | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/political-corruption-index},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-political-corruption-index}}
}

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 2026-06-07 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/political-corruption-index