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electricsheepasia/asia-owid-progress-toward-productive-and-sustainable-agriculture

Progress Toward Productive And Sustainable Agriculture | Asia (Our World in Data) 🌏 405 observations · 45 Asia countries · 2015–2023 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 405 observations of Progress Toward Productive And Sustainable Agriculture data across 45 Asia countries, spanning 2015–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Progress Toward Productive… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-progress-toward-productive-and-sustainable-agriculture.

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Dataset Card

Progress Toward Productive And Sustainable Agriculture | Asia (Our World in Data)

🌏 405 observations · 45 Asia countries · 2015–2023 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 405 observations of Progress Toward Productive And Sustainable Agriculture data across 45 Asia countries, spanning 2015–2023.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Progress Toward Productive And Sustainable Agriculture

Geographic coverage

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

CountryRowsFirst yearLast year
AFG920152023
ARE920152023
ARM920152023
AZE920152023
BGD920152023
BHR920152023
BRN920152023
BTN920152023
CHN920152023
CYP920152023
GEO920152023
IND920152023
IRN920152023
IRQ920152023
ISR920152023
...30 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—2015
Progress toward productive and sustainable agriculturefloat64—3.14

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-progress-toward-productive-and-sustainable-agriculture")
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="Progress toward productive and sustainable agriculture")

Citation

bibtex
@misc{asia_owid_progress_toward_productive_and_sustainable_agriculture_2023,
  title        = {Progress Toward Productive And Sustainable Agriculture | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/progress-toward-productive-and-sustainable-agriculture},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-progress-toward-productive-and-sustainable-agriculture}}
}

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 2026-06-07 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/progress-toward-productive-and-sustainable-agriculture