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electricsheepeurope/europe-owid-oecd-expenditures-on-government-outsourcing-gdp

Oecd Expenditures On Government Outsourcing Gdp | Europe (Our World in Data) πŸ‡ͺπŸ‡Ί 464 observations Β· 29 Europe countries Β· 2009–2024 Β· Repackaged by Electric Sheep Europe TL;DR This dataset contains 464 observations of Oecd Expenditures On Government Outsourcing Gdp data across 29 Europe countries, spanning 2009–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Oecd Expenditures On… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-oecd-expenditures-on-government-outsourcing-gdp.

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Dataset Card

Oecd Expenditures On Government Outsourcing Gdp | Europe (Our World in Data)

πŸ‡ͺπŸ‡Ί 464 observations Β· 29 Europe countries Β· 2009–2024 Β· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 464 observations of Oecd Expenditures On Government Outsourcing Gdp data across 29 Europe countries, spanning 2009–2024.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Oecd Expenditures On Government Outsourcing Gdp

Geographic coverage

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

CountryRowsFirst yearLast year
AUT1620092024
BEL1620092024
BGR1620092024
CHE1620092024
CZE1620092024
DEU1620092024
DNK1620092024
ESP1620092024
EST1620092024
FIN1620092024
FRA1620092024
GBR1620092024
GRC1620092024
HRV1620092024
HUN1620092024
...14 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Austria
country_iso3stringβ€”AUT
yearint64β€”2009
Expenditures on government outsourcing by economic transaction - Totalfloat64β€”10.422

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-oecd-expenditures-on-government-outsourcing-gdp")
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="Expenditures on government outsourcing by economic transaction - Total")

Citation

bibtex
@misc{europe_owid_oecd_expenditures_on_government_outsourcing_gdp_2024,
  title        = {Oecd Expenditures On Government Outsourcing Gdp | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/oecd-expenditures-on-government-outsourcing-gdp},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-oecd-expenditures-on-government-outsourcing-gdp}}
}

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 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/oecd-expenditures-on-government-outsourcing-gdp