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electricsheepeurope/europe-owid-access-to-clean-fuels-and-technologies-for-cooking

Access To Clean Fuels And Technologies For Cooking | Europe (Our World in Data) 🇪🇺 984 observations · 41 Europe countries · 2000–2023 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 984 observations of Access To Clean Fuels And Technologies For Cooking data across 41 Europe countries, spanning 2000–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Access To Clean Fuels… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-access-to-clean-fuels-and-technologies-for-cooking.

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Dataset Card

Access To Clean Fuels And Technologies For Cooking | Europe (Our World in Data)

🇪🇺 984 observations · 41 Europe countries · 2000–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 984 observations of Access To Clean Fuels And Technologies For Cooking data across 41 Europe countries, spanning 2000–2023.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Access To Clean Fuels And Technologies For Cooking

Geographic coverage

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

CountryRowsFirst yearLast year
ALB2420002023
AND2420002023
AUT2420002023
BEL2420002023
BIH2420002023
BLR2420002023
CHE2420002023
CZE2420002023
DEU2420002023
DNK2420002023
ESP2420002023
EST2420002023
FIN2420002023
FRA2420002023
GBR2420002023
...26 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—2000
Proportion of population with primary reliance on clean fuels and technologies for cooking (%) - Residence area type: Totalfloat64—36.6

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-access-to-clean-fuels-and-technologies-for-cooking")
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="Proportion of population with primary reliance on clean fuels and technologies for cooking (%) - Residence area type: Total")

Citation

bibtex
@misc{europe_owid_access_to_clean_fuels_and_technologies_for_cooking_2023,
  title        = {Access To Clean Fuels And Technologies For Cooking | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/access-to-clean-fuels-and-technologies-for-cooking},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-access-to-clean-fuels-and-technologies-for-cooking}}
}

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 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/access-to-clean-fuels-and-technologies-for-cooking