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electricsheepasia/asia-owid-learning-outcomes-vs-gdp-per-capita

Learning Outcomes Vs Gdp Per Capita | Asia (Our World in Data) 🌏 1,594 observations · 47 Asia countries · 1990–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,594 observations of Learning Outcomes Vs Gdp Per Capita data across 47 Asia countries, spanning 1990–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Learning Outcomes Vs Gdp Per Capita Geographic… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-learning-outcomes-vs-gdp-per-capita.

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Dataset Card

Learning Outcomes Vs Gdp Per Capita | Asia (Our World in Data)

🌏 1,594 observations · 47 Asia countries · 1990–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 1,594 observations of Learning Outcomes Vs Gdp Per Capita data across 47 Asia countries, spanning 1990–2024.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
ARE3519902024
ARM3519902024
AZE3519902024
BHR3519902024
BGD3519902024
BRN3519902024
CHN3519902024
IRN3519902024
CYP3519902024
GEO3519902024
IDN3519902024
IRQ3519902024
IND3519902024
JOR3519902024
ISR3519902024
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—2000
Harmonized test scores among all studentsfloat64—355.0
GDP per capitafloat64—1617.8264
Populationfloat64—20130334.0
World regions according to WBstring—Middle East, North Africa, Afghanista…

Data quality & caveats

  • —Harmonized test scores among all students column has 90.7% null values (filtered to non-null in this dataset).

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-learning-outcomes-vs-gdp-per-capita")
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="Harmonized test scores among all students")

Citation

bibtex
@misc{asia_owid_learning_outcomes_vs_gdp_per_capita_2024,
  title        = {Learning Outcomes Vs Gdp Per Capita | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/learning-outcomes-vs-gdp-per-capita},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-learning-outcomes-vs-gdp-per-capita}}
}

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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/learning-outcomes-vs-gdp-per-capita