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electricsheepasia/asia-owid-mode-of-reporting-literacy-rates

Mode Of Reporting Literacy Rates | 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 Mode Of Reporting Literacy Rates 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: Mode Of Reporting Literacy Rates Geographic coverage… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-mode-of-reporting-literacy-rates.

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Dataset Card

Mode Of Reporting Literacy Rates | Asia (Our World in Data)

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

rows countries years license

TL;DR

This dataset contains 221 observations of Mode Of Reporting Literacy Rates data across 47 Asia countries, spanning 1975–2016.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
TUR1419752014
PAK1119812014
IRN1119762014
PSE1119972014
KWT1019752013
IDN1019802016
QAT1019862014
SGP819802014
AZE819992014
JOR719792012
MDV719772014
BGD619812016
PHL619802013
THA619802015
IND519812011
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—1979
Methodologies used for measuring literacy (UIS (2017))string—Self-reported (head of household)

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-mode-of-reporting-literacy-rates")
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="Methodologies used for measuring literacy (UIS (2017))")

Citation

bibtex
@misc{asia_owid_mode_of_reporting_literacy_rates_2016,
  title        = {Mode Of Reporting Literacy Rates | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2016},
  url          = {https://ourworldindata.org/grapher/mode-of-reporting-literacy-rates},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-mode-of-reporting-literacy-rates}}
}

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/mode-of-reporting-literacy-rates