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electricsheepasia/asia-owid-government-vs-private-aid-by-recipient

Government Vs Private Aid By Recipient | Asia (Our World in Data) 🌏 2,433 observations · 48 Asia countries · 1960–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 2,433 observations of Government Vs Private Aid By Recipient data across 48 Asia countries, spanning 1960–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Government Vs Private Aid By Recipient… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-government-vs-private-aid-by-recipient.

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Government Vs Private Aid By Recipient | Asia (Our World in Data)

🌏 2,433 observations · 48 Asia countries · 1960–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 2,433 observations of Government Vs Private Aid By Recipient data across 48 Asia countries, spanning 1960–2024.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
AFG6519602024
IRN6519602024
IRQ6519602024
IDN6519602024
IND6519602024
VNM6519602024
NPL6519602024
PAK6519602024
LKA6519602024
MDV6519602024
MMR6519602024
MYS6519602024
LBN6519602024
LAO6519602024
KHM6519602024
...33 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—1960
Aid from governmentsfloat64—136674850.0
Aid from civil society organizationsfloat64—6531038.0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-government-vs-private-aid-by-recipient")
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="Aid from governments")

Citation

bibtex
@misc{asia_owid_government_vs_private_aid_by_recipient_2024,
  title        = {Government Vs Private Aid By Recipient | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/government-vs-private-aid-by-recipient},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-government-vs-private-aid-by-recipient}}
}

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 2026-06-08 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/government-vs-private-aid-by-recipient