electricsheepasia/asia-owid-annual-area-burnt-per-wildfire-vs-number-of-fires

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

🌏 735 observations · 49 Asia countries · 2012–2026 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 735 observations of Annual Area Burnt Per Wildfire Vs Number Of Fires data across 49 Asia 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

49 Asia countries · top rows shown below, sorted by row count:

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-annual-area-burnt-per-wildfire-vs-number-of-fires")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Annual number of fires")

Citation

@misc{asia_owid_annual_area_burnt_per_wildfire_vs_number_of_fires_2026,
  title        = {Annual Area Burnt Per Wildfire Vs Number Of Fires | Asia (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 Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-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 Asia repackaging.

About Electric Sheep

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

Provenance: ingested 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/annual-area-burnt-per-wildfire-vs-number-of-fires