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electricsheepasia/asia-owid-elections-for-the-governments-chief-executive

Elections For The Governments Chief Executive | Asia (Our World in Data) 🌏 8,453 observations · 49 Asia countries · 1789–2025 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 8,453 observations of Elections For The Governments Chief Executive data across 49 Asia countries, spanning 1789–2025. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Elections For The Governments Chief… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-elections-for-the-governments-chief-executive.

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Dataset Card

Elections For The Governments Chief Executive | Asia (Our World in Data)

🌏 8,453 observations · 49 Asia countries · 1789–2025 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 8,453 observations of Elections For The Governments Chief Executive data across 49 Asia countries, spanning 1789–2025.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Elections For The Governments Chief Executive

Geographic coverage

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

CountryRowsFirst yearLast year
AFG23717892025
CHN23717892025
BTN23717892025
BRN23717892025
BHR23717892025
IRN23717892025
IND23717892025
THA23717892025
OMN23717892025
LKA23717892025
MDV23717892025
MMR23717892025
NPL23717892025
KWT23717892025
LAO23717892025
...34 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—1789
Elections for chief executiveint64—0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-elections-for-the-governments-chief-executive")
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="Elections for chief executive")

Citation

bibtex
@misc{asia_owid_elections_for_the_governments_chief_executive_2025,
  title        = {Elections For The Governments Chief Executive | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/elections-for-the-governments-chief-executive},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-elections-for-the-governments-chief-executive}}
}

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 2026-06-03 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/elections-for-the-governments-chief-executive