electricsheepafrica/africa-owid-annual-area-burnt-per-wildfire

Annual Area Burnt Per Wildfire | Africa (Our World in Data)

🌍 767 observations · 53 Africa countries · 2012–2026 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 767 observations of Annual Area Burnt Per Wildfire data across 53 Africa countries, spanning 2012–2026.

About the source

• Source: Our World in Data
• Publisher: Our World in Data
• License: cc-by-4.0
• Topic: Annual Area Burnt Per Wildfire

Geographic coverage

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

Country	Rows	First year	Last year
AGO	15	2012	2026
BDI	15	2012	2026
BEN	15	2012	2026
BFA	15	2012	2026
BWA	15	2012	2026
CAF	15	2012	2026
CIV	15	2012	2026
CMR	15	2012	2026
COD	15	2012	2026
COG	15	2012	2026
COM	15	2012	2026
EGY	15	2012	2026
DZA	15	2012	2026
GAB	15	2012	2026
GHA	15	2012	2026
...	38 more countries

Schema

Column	Type	Description	Example
country_name	string	—	Algeria
country_iso3	string	—	DZA
year	int64	—	2012
Annual area burnt per wildfire	float64	—	450.79144

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-annual-area-burnt-per-wildfire")
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="Annual area burnt per wildfire")

Citation

@misc{africa_owid_annual_area_burnt_per_wildfire_2026,
  title        = {Annual Area Burnt Per Wildfire | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2026},
  url          = {https://ourworldindata.org/grapher/annual-area-burnt-per-wildfire},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-annual-area-burnt-per-wildfire}}
}

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/annual-area-burnt-per-wildfire