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electricsheepasia/asia-owid-received-official-development-assistance-grants-for-poverty-reduction

Received Official Development Assistance Grants For Poverty Reduction | Asia (Our World in Data) šŸŒ 878 observations Ā· 39 Asia countries Ā· 2000–2023 Ā· Repackaged by Electric Sheep Asia TL;DR This dataset contains 878 observations of Received Official Development Assistance Grants For Poverty Reduction data across 39 Asia countries, spanning 2000–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-received-official-development-assistance-grants-for-poverty-reduction.

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Dataset Card

Received Official Development Assistance Grants For Poverty Reduction | Asia (Our World in Data)

šŸŒ 878 observations Ā· 39 Asia countries Ā· 2000–2023 Ā· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 878 observations of Received Official Development Assistance Grants For Poverty Reduction data across 39 Asia countries, spanning 2000–2023.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Received Official Development Assistance Grants For Poverty Reduction

Geographic coverage

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

CountryRowsFirst yearLast year
ARM2420002023
AZE2420002023
BGD2420002023
CHN2420002023
IND2420002023
IDN2420002023
GEO2420002023
TUR2420002023
PAK2420002023
PHL2420002023
IRN2420002023
IRQ2420002023
JOR2420002023
KAZ2420002023
KGZ2420002023
...24 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—2000
Official development assistance grants for poverty reduction, by recipient countries (percentage of GNI)float64—0.48

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-received-official-development-assistance-grants-for-poverty-reduction")
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="Official development assistance grants for poverty reduction, by recipient countries (percentage of GNI)")

Citation

bibtex
@misc{asia_owid_received_official_development_assistance_grants_for_poverty_reduction_2023,
  title        = {Received Official Development Assistance Grants For Poverty Reduction | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/received-official-development-assistance-grants-for-poverty-reduction},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-received-official-development-assistance-grants-for-poverty-reduction}}
}

License

Released under cc-by-4.0.

Original data Ā© 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/received-official-development-assistance-grants-for-poverty-reduction