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electricsheepeurope/europe-owid-government-vs-private-aid-by-donor

Government Vs Private Aid By Donor | Europe (Our World in Data) πŸ‡ͺπŸ‡Ί 1,354 observations Β· 33 Europe countries Β· 1960–2024 Β· Repackaged by Electric Sheep Europe TL;DR This dataset contains 1,354 observations of Government Vs Private Aid By Donor data across 33 Europe countries, spanning 1960–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Government Vs Private Aid By Donor… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-government-vs-private-aid-by-donor.

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Dataset Card

Government Vs Private Aid By Donor | Europe (Our World in Data)

πŸ‡ͺπŸ‡Ί 1,354 observations Β· 33 Europe countries Β· 1960–2024 Β· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 1,354 observations of Government Vs Private Aid By Donor data across 33 Europe countries, spanning 1960–2024.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Government Vs Private Aid By Donor

Geographic coverage

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

CountryRowsFirst yearLast year
AUT6519602024
BEL6519602024
CHE6519602024
DNK6519602024
DEU6519602024
GBR6519602024
FRA6519602024
NLD6519602024
ITA6519602024
NOR6519602024
SWE6519602024
FIN6419612024
IRL5119742024
ESP4519802024
LUX4519802024
...18 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Austria
country_iso3stringβ€”AUT
yearint64β€”1960
Aid by governmentsfloat64β€”1565877.0
Aid by civil society organizationsfloat64β€”37383244.0
Aid by governments (Annotations)stringβ€”β€”
Aid by civil society organizations (Annotations)stringβ€”β€”

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-government-vs-private-aid-by-donor")
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="Aid by governments")

Citation

bibtex
@misc{europe_owid_government_vs_private_aid_by_donor_2024,
  title        = {Government Vs Private Aid By Donor | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/government-vs-private-aid-by-donor},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-government-vs-private-aid-by-donor}}
}

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 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 2026-06-08 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/government-vs-private-aid-by-donor