electricsheepafrica/africa-owid-access-to-clean-fuels-and-technologies-for-cooking-vs-per-capita-energy-consumption

Access To Clean Fuels And Technologies For Cooking Vs Per Capita Energy Consumption | Africa (Our World in Data)

🌍 2,446 observations · 54 Africa countries · 1965–2024 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 2,446 observations of Access To Clean Fuels And Technologies For Cooking Vs Per Capita Energy Consumption data across 54 Africa countries, spanning 1965–2024.

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 Vs Per Capita Energy Consumption

Geographic coverage

54 Africa countries · top rows shown below, sorted by row count:

Country	Rows	First year	Last year
EGY	60	1965	2024
DZA	60	1965	2024
ZAF	60	1965	2024
MAR	60	1965	2024
BEN	45	1980	2024
BFA	45	1980	2024
CAF	45	1980	2024
BWA	45	1980	2024
COD	45	1980	2024
CIV	45	1980	2024
COG	45	1980	2024
COM	45	1980	2024
CPV	45	1980	2024
CMR	45	1980	2024
DJI	45	1980	2024
...	39 more countries

Schema

Column	Type	Description	Example
country_name	string	—	Algeria
country_iso3	string	—	DZA
year	int64	—	1965
Access to clean fuels for cooking	float64	—	96.5
Per capita energy consumption	float64	—	2008.1426
Population	float64	—	12365979.0
World region according to OWID	string	—	Africa

Data quality & caveats

• Access to clean fuels for cooking column has 48.0% null values (filtered to non-null in this dataset).

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-access-to-clean-fuels-and-technologies-for-cooking-vs-per-capita-energy-consumption")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

kenya = df[df["country_iso3"] == "KEN"]

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Access to clean fuels for cooking")

Citation

@misc{africa_owid_access_to_clean_fuels_and_technologies_for_cooking_vs_per_capita_energy_consumption_2024,
  title        = {Access To Clean Fuels And Technologies For Cooking Vs Per Capita Energy Consumption | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/access-to-clean-fuels-and-technologies-for-cooking-vs-per-capita-energy-consumption},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-access-to-clean-fuels-and-technologies-for-cooking-vs-per-capita-energy-consumption}}
}

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 Africa repackaging.

About Electric Sheep

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

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Provenance: ingested 2026-06-01 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/access-to-clean-fuels-and-technologies-for-cooking-vs-per-capita-energy-consumption