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electricsheepasia/asia-owid-literacy-rate-source-type

Literacy Rate Source Type | Asia (Our World in Data) 🌏 221 observations · 47 Asia countries · 1975–2016 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 221 observations of Literacy Rate Source Type data across 47 Asia countries, spanning 1975–2016. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Literacy Rate Source Type Geographic coverage 47 Asia countries ·… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-literacy-rate-source-type.

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Dataset Card

Literacy Rate Source Type | Asia (Our World in Data)

🌏 221 observations · 47 Asia countries · 1975–2016 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 221 observations of Literacy Rate Source Type data across 47 Asia countries, spanning 1975–2016.

About the source

—Source: Our World in Data
—Publisher: Our World in Data
—License: cc-by-4.0
—Topic: Literacy Rate Source Type

Geographic coverage

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

Country	Rows	First year	Last year
`TUR`	14	1975	2014
`PAK`	11	1981	2014
`IRN`	11	1976	2014
`PSE`	11	1997	2014
`KWT`	10	1975	2013
`IDN`	10	1980	2016
`QAT`	10	1986	2014
`SGP`	8	1980	2014
`AZE`	8	1999	2014
`JOR`	7	1979	2012
`MDV`	7	1977	2014
`BGD`	6	1981	2016
`PHL`	6	1980	2013
`THA`	6	1980	2015
`IND`	5	1981	2011
...	32 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`1979`
`Data instruments used to estimate literacy (UIS (2017))`	`string`	—	`Census`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-literacy-rate-source-type")
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="Data instruments used to estimate literacy (UIS (2017))")

Citation

bibtex

@misc{asia_owid_literacy_rate_source_type_2016,
  title        = {Literacy Rate Source Type | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2016},
  url          = {https://ourworldindata.org/grapher/literacy-rate-source-type},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-literacy-rate-source-type}}
}

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/literacy-rate-source-type