electricsheepafrica/africa-owid-annual-area-burnt-per-wildfire-vs-number-of-fires

Annual Area Burnt Per Wildfire Vs Number Of Fires | Africa (Our World in Data)

🌍 810 observations · 54 Africa countries · 2012–2026 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 810 observations of Annual Area Burnt Per Wildfire Vs Number Of Fires data across 54 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 Vs Number Of Fires

Geographic coverage

54 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
CPV	15	2012	2026
DJI	15	2012	2026
DZA	15	2012	2026
EGY	15	2012	2026
...	39 more countries

Schema

Column	Type	Description	Example
country_name	string	—	Algeria
country_iso3	string	—	DZA
year	int64	—	2012
Annual number of fires	int64	—	1400
Annual area burnt per wildfire	float64	—	450.79144
World region according to OWID	string	—	Africa

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-annual-area-burnt-per-wildfire-vs-number-of-fires")
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 number of fires")

Citation

@misc{africa_owid_annual_area_burnt_per_wildfire_vs_number_of_fires_2026,
  title        = {Annual Area Burnt Per Wildfire Vs Number Of Fires | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2026},
  url          = {https://ourworldindata.org/grapher/annual-area-burnt-per-wildfire-vs-number-of-fires},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-annual-area-burnt-per-wildfire-vs-number-of-fires}}
}

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-vs-number-of-fires