Datasets:

electricsheepasia
/

asia-owid-literacy

country_name stringclasses 38 values	country_iso3 stringclasses 38 values	year int64 1.98k 2.02k	Literacy rate among adults float64 18 100
Afghanistan	AFG	1,979	18
Afghanistan	AFG	2,011	31
Afghanistan	AFG	2,015	33.75384
Afghanistan	AFG	2,021	37
Armenia	ARM	1,989	99
Armenia	ARM	2,001	99
Armenia	ARM	2,011	100
Armenia	ARM	2,016	100
Armenia	ARM	2,017	100
Armenia	ARM	2,020	100
Armenia	ARM	2,022	99.825
Azerbaijan	AZE	1,999	99
Azerbaijan	AZE	2,007	100
Azerbaijan	AZE	2,009	100
Azerbaijan	AZE	2,010	100
Azerbaijan	AZE	2,011	100
Azerbaijan	AZE	2,012	100
Azerbaijan	AZE	2,013	100
Azerbaijan	AZE	2,014	100
Azerbaijan	AZE	2,015	100
Azerbaijan	AZE	2,016	100
Azerbaijan	AZE	2,017	100
Azerbaijan	AZE	2,019	100
Azerbaijan	AZE	2,023	100
Bahrain	BHR	1,981	70
Bahrain	BHR	1,991	84
Bahrain	BHR	2,001	87
Bahrain	BHR	2,022	98
Bahrain	BHR	2,023	98
Bangladesh	BGD	1,981	29
Bangladesh	BGD	1,991	35
Bangladesh	BGD	2,001	47
Bangladesh	BGD	2,011	59
Bangladesh	BGD	2,012	58
Bangladesh	BGD	2,013	61
Bangladesh	BGD	2,014	61
Bangladesh	BGD	2,015	65
Bangladesh	BGD	2,016	73
Bangladesh	BGD	2,017	73
Bangladesh	BGD	2,018	74
Bangladesh	BGD	2,019	75
Bangladesh	BGD	2,020	75
Bangladesh	BGD	2,021	76
Bangladesh	BGD	2,022	79
Bhutan	BTN	2,005	53
Bhutan	BTN	2,012	55
Bhutan	BTN	2,017	67
Brunei	BRN	1,981	78
Brunei	BRN	1,991	88
Brunei	BRN	2,001	93
Brunei	BRN	2,011	96
Cambodia	KHM	1,998	67
Cambodia	KHM	2,004	74
Cambodia	KHM	2,008	77
Cambodia	KHM	2,009	76
Cambodia	KHM	2,014	78
Cambodia	KHM	2,015	81
Cambodia	KHM	2,021	71.92725
China	CHN	1,982	66
China	CHN	1,990	78
China	CHN	2,000	91
China	CHN	2,010	95
China	CHN	2,020	97
Cyprus	CYP	1,992	94
Cyprus	CYP	2,001	97
Cyprus	CYP	2,011	99
East Timor	TLS	2,001	38
East Timor	TLS	2,007	51
East Timor	TLS	2,010	58
East Timor	TLS	2,016	65.77913
Georgia	GEO	2,002	100
Georgia	GEO	2,014	100
Georgia	GEO	2,017	99
Georgia	GEO	2,018	99.65366
Georgia	GEO	2,022	100
Georgia	GEO	2,023	99.55547
India	IND	1,981	41
India	IND	1,991	48
India	IND	2,001	61
India	IND	2,006	63
India	IND	2,011	69
India	IND	2,022	76
India	IND	2,023	82
Indonesia	IDN	1,980	67
Indonesia	IDN	1,990	82
Indonesia	IDN	2,004	90
Indonesia	IDN	2,006	92
Indonesia	IDN	2,008	92
Indonesia	IDN	2,009	93
Indonesia	IDN	2,011	93
Indonesia	IDN	2,014	95
Indonesia	IDN	2,015	95
Indonesia	IDN	2,016	95
Indonesia	IDN	2,018	96
Indonesia	IDN	2,020	96
Iran	IRN	1,976	37
Iran	IRN	1,986	52
Iran	IRN	1,991	66
Iran	IRN	1,996	73
Iran	IRN	2,002	77

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Literacy | Asia (Our World in Data)

🌏 343 observations · 47 Asia countries · 1975–2023 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 343 observations of Literacy data across 47 Asia countries, spanning 1975–2023.

About the source

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

Geographic coverage

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

Country	Rows	First year	Last year
`TUR`	19	1975	2021
`PSE`	18	1997	2022
`PAK`	16	1981	2021
`KWT`	15	1975	2020
`BGD`	15	1981	2022
`SGP`	15	1980	2021
`AZE`	13	1999	2023
`LKA`	13	1981	2023
`IRN`	12	1976	2016
`IDN`	12	1980	2020
`QAT`	11	1986	2014
`MDV`	10	1977	2019
`PHL`	10	1980	2020
`THA`	10	1980	2022
`UZB`	9	2000	2022
...	32 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`1979`
`Literacy rate among adults`	`float64`	—	`18.0`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-literacy")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Literacy rate among adults")

Citation

@misc{asia_owid_literacy_2023,
  title        = {Literacy | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/literacy},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-literacy}}
}

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

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