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electricsheepasia/asia-owid-agricultural-water-as-a-share-of-total-water-withdrawals

Agricultural Water As A Share Of Total Water Withdrawals | Asia (Our World in Data) 🌏 1,558 observations · 48 Asia countries · 1970–2022 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,558 observations of Agricultural Water As A Share Of Total Water Withdrawals data across 48 Asia countries, spanning 1970–2022. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Agricultural Water… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-agricultural-water-as-a-share-of-total-water-withdrawals.

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Dataset Card

Agricultural Water As A Share Of Total Water Withdrawals | Asia (Our World in Data)

🌏 1,558 observations · 48 Asia countries · 1970–2022 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 1,558 observations of Agricultural Water As A Share Of Total Water Withdrawals data across 48 Asia countries, spanning 1970–2022.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Agricultural Water As A Share Of Total Water Withdrawals

Geographic coverage

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

CountryRowsFirst yearLast year
ISR5219702021
IRQ4819752022
CYP4819752022
IND4819752022
PAK4819752022
SGP4819752022
LBN4819752022
JOR4819752022
ARE4319802022
CHN4319802022
VNM4319802022
JPN4319802022
MDV3619872022
MMR3619872022
AFG3619872022
...33 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—1987
Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)float64—99.000046

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-agricultural-water-as-a-share-of-total-water-withdrawals")
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="Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)")

Citation

bibtex
@misc{asia_owid_agricultural_water_as_a_share_of_total_water_withdrawals_2022,
  title        = {Agricultural Water As A Share Of Total Water Withdrawals | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2022},
  url          = {https://ourworldindata.org/grapher/agricultural-water-as-a-share-of-total-water-withdrawals},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-agricultural-water-as-a-share-of-total-water-withdrawals}}
}

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/agricultural-water-as-a-share-of-total-water-withdrawals