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electricsheepasia/asia-owid-dietary-compositions-by-commodity-group

Dietary Compositions By Commodity Group | Asia (Our World in Data) 🌏 2,441 observations Β· 47 Asia countries Β· 1961–2023 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 2,441 observations of Dietary Compositions By Commodity Group data across 47 Asia countries, spanning 1961–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Dietary Compositions By Commodity Group… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-dietary-compositions-by-commodity-group.

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Dataset Card

Dietary Compositions By Commodity Group | Asia (Our World in Data)

🌏 2,441 observations Β· 47 Asia countries Β· 1961–2023 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 2,441 observations of Dietary Compositions By Commodity Group data across 47 Asia countries, spanning 1961–2023.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Dietary Compositions By Commodity Group

Geographic coverage

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

CountryRowsFirst yearLast year
AFG6319612023
ARE6319612023
BGD6319612023
IDN6319612023
IND6319612023
CYP6319612023
CHN6319612023
IRN6319612023
IRQ6319612023
LKA6319612023
KWT6319612023
KHM6319612023
KOR6319612023
JOR6319612023
ISR6319612023
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”1961
Otherfloat64β€”11.661282
Alcoholic beveragesfloat64β€”0.0
Sugarfloat64β€”49.560444
Oils and fatsfloat64β€”89.40315
Meatfloat64β€”86.48783
Dairy and eggsfloat64β€”99.12089
Fruits and vegetablesfloat64β€”79.68542
Starchy rootsfloat64β€”24.294336
Pulsesfloat64β€”15.548375
Cereals and grainsfloat64β€”2457.615

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-dietary-compositions-by-commodity-group")
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="Other")

Citation

bibtex
@misc{asia_owid_dietary_compositions_by_commodity_group_2023,
  title        = {Dietary Compositions By Commodity Group | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/dietary-compositions-by-commodity-group},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-dietary-compositions-by-commodity-group}}
}

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 2026-06-03 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/dietary-compositions-by-commodity-group