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electricsheepeurope/europe-owid-elections-for-the-governments-chief-executive

Elections For The Governments Chief Executive | Europe (Our World in Data) 🇪🇺 7,863 observations · 44 Europe countries · 1789–2025 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 7,863 observations of Elections For The Governments Chief Executive data across 44 Europe 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-elections-for-the-governments-chief-executive.

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Dataset Card

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

🇪🇺 7,863 observations · 44 Europe countries · 1789–2025 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 7,863 observations of Elections For The Governments Chief Executive data across 44 Europe 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

44 Europe countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ESP23717892025
DNK23717892025
FRA23717892025
RUS23717892025
NLD23717892025
ROU23717892025
PRT23717892025
NOR23717892025
SMR23717892025
SWE23717892025
GBR23717892025
MNE23417892025
CHE22817982025
BLR22618002025
SRB22218042025
...29 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—1912
Elections for chief executiveint64—0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-elections-for-the-governments-chief-executive")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Elections for chief executive")

Citation

bibtex
@misc{europe_owid_elections_for_the_governments_chief_executive_2025,
  title        = {Elections For The Governments Chief Executive | Europe (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 Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-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 Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe 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/electricsheepeurope


Provenance: ingested 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/elections-for-the-governments-chief-executive