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electricsheepeurope/europe-owid-rigorous-and-impartial-public-administration-score

Rigorous And Impartial Public Administration Score | Europe (Our World in Data) 🇪🇺 8,236 observations · 40 Europe countries · 1789–2025 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 8,236 observations of Rigorous And Impartial Public Administration Score data across 40 Europe countries, spanning 1789–2025. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Rigorous And… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-rigorous-and-impartial-public-administration-score.

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Dataset Card

Rigorous And Impartial Public Administration Score | Europe (Our World in Data)

🇪🇺 8,236 observations · 40 Europe countries · 1789–2025 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 8,236 observations of Rigorous And Impartial Public Administration Score data across 40 Europe countries, spanning 1789–2025.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Rigorous And Impartial Public Administration Score

Geographic coverage

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

CountryRowsFirst yearLast year
BGR23717892025
BEL23717892025
CZE23717892025
GBR23717892025
FIN23717892025
EST23717892025
ESP23717892025
DNK23717892025
SWE23717892025
ROU23717892025
RUS23717892025
SVK23717892025
NLD23717892025
FRA23717892025
GRC23717892025
...25 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—1912
Rigorous and impartial public administrationfloat64—-0.881

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-rigorous-and-impartial-public-administration-score")
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="Rigorous and impartial public administration")

Citation

bibtex
@misc{europe_owid_rigorous_and_impartial_public_administration_score_2025,
  title        = {Rigorous And Impartial Public Administration Score | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/rigorous-and-impartial-public-administration-score},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-rigorous-and-impartial-public-administration-score}}
}

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 2026-06-07 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/rigorous-and-impartial-public-administration-score