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electricsheepasia/asia-owid-extent-of-foraging

Extent Of Foraging | Asia (Our World in Data) 🌏 420 observations · 42 Asia countries · -8000–1850 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 420 observations of Extent Of Foraging data across 42 Asia countries, spanning -8000–1850. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Extent Of Foraging Geographic coverage 42 Asia countries · top rows shown below… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-extent-of-foraging.

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Dataset Card

Extent Of Foraging | Asia (Our World in Data)

🌏 420 observations · 42 Asia countries · -8000–1850 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 420 observations of Extent Of Foraging data across 42 Asia countries, spanning -8000–1850.

About the source

—Source: Our World in Data
—Publisher: Our World in Data
—License: cc-by-4.0
—Topic: Extent Of Foraging

Geographic coverage

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

Country	Rows	First year	Last year
`AFG`	10	-8000	1850
`ARE`	10	-8000	1850
`ARM`	10	-8000	1850
`AZE`	10	-8000	1850
`BGD`	10	-8000	1850
`BTN`	10	-8000	1850
`CHN`	10	-8000	1850
`CYP`	10	-8000	1850
`GEO`	10	-8000	1850
`IDN`	10	-8000	1850
`IND`	10	-8000	1850
`IRN`	10	-8000	1850
`IRQ`	10	-8000	1850
`ISR`	10	-8000	1850
`JOR`	10	-8000	1850
...	27 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`-8000`
`Extent of foraging, hunting and gathering`	`string`	—	`Widespread`

Data quality & caveats

—Extent of foraging, hunting and gathering column has 6.9% null values (filtered to non-null in this dataset).

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-extent-of-foraging")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python

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

Time-series for a single indicator

python

sample = df.sort_values("year")
sample.plot(x="year", y="Extent of foraging, hunting and gathering")

Citation

bibtex

@misc{asia_owid_extent_of_foraging_1850,
  title        = {Extent Of Foraging | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {1850},
  url          = {https://ourworldindata.org/grapher/extent-of-foraging},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-extent-of-foraging}}
}

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 2026-06-08 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/extent-of-foraging