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electricsheepasia/asia-owid-cropland-per-person-over-the-long-term

Cropland Per Person Over The Long Term | Asia (Our World in Data) 🌏 5,922 observations Β· 47 Asia countries Β· -10000–2023 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 5,922 observations of Cropland Per Person Over The Long Term data across 47 Asia countries, spanning -10000–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Cropland Per Person Over The Long Term… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-cropland-per-person-over-the-long-term.

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Dataset Card

Cropland Per Person Over The Long Term | Asia (Our World in Data)

🌏 5,922 observations Β· 47 Asia countries Β· -10000–2023 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 5,922 observations of Cropland Per Person Over The Long Term data across 47 Asia countries, spanning -10000–2023.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Cropland Per Person Over The Long Term

Geographic coverage

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

CountryRowsFirst yearLast year
AFG126-100002023
ARE126-100002023
ARM126-100002023
AZE126-100002023
BGD126-100002023
BHR126-100002023
BRN126-100002023
BTN126-100002023
CHN126-100002023
CYP126-100002023
GEO126-100002023
IDN126-100002023
IND126-100002023
IRN126-100002023
IRQ126-100002023
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”-10000
Land use (per capita): Croplandfloat64β€”0.0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-cropland-per-person-over-the-long-term")
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="Land use (per capita): Cropland")

Citation

bibtex
@misc{asia_owid_cropland_per_person_over_the_long_term_2023,
  title        = {Cropland Per Person Over The Long Term | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/cropland-per-person-over-the-long-term},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-cropland-per-person-over-the-long-term}}
}

License

Released under cc-by-4.0.

Original data Β© 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 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/cropland-per-person-over-the-long-term