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electricsheepasia/asia-owid-agriculture-orientation-index

Agriculture Orientation Index | Asia (Our World in Data) 🌏 952 observations Β· 47 Asia countries Β· 2001–2023 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 952 observations of Agriculture Orientation Index data across 47 Asia countries, spanning 2001–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Agriculture Orientation Index Geographic coverage 47 Asia… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-agriculture-orientation-index.

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Dataset Card

Agriculture Orientation Index | Asia (Our World in Data)

🌏 952 observations Β· 47 Asia countries Β· 2001–2023 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 952 observations of Agriculture Orientation Index data across 47 Asia countries, spanning 2001–2023.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Agriculture Orientation Index

Geographic coverage

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

CountryRowsFirst yearLast year
BRN2320012023
BHR2320012023
BGD2320012023
GEO2320012023
CYP2320012023
CHN2320012023
BTN2320012023
IDN2320012023
LBN2320012023
LKA2320012023
KHM2320012023
KGZ2320012023
KAZ2320012023
JOR2320012023
ISR2320012023
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”2003
Agriculture orientation index for government spendingfloat64β€”0.13

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-agriculture-orientation-index")
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="Agriculture orientation index for government spending")

Citation

bibtex
@misc{asia_owid_agriculture_orientation_index_2023,
  title        = {Agriculture Orientation Index | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/agriculture-orientation-index},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-agriculture-orientation-index}}
}

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 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/agriculture-orientation-index