electricsheepeurope/europe-owid-literacy

Literacy | Europe (Our World in Data)

🇪🇺 85 observations · 24 Europe countries · 1978–2022 · Repackaged by Electric Sheep Europe

TL;DR

This dataset contains 85 observations of Literacy data across 24 Europe countries, spanning 1978–2022.

About the source

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

Geographic coverage

24 Europe countries · top rows shown below, sorted by row count:

Country	Rows	First year	Last year
ESP	18	1981	2021
ALB	5	2001	2017
MNE	5	1981	2018
GRC	4	1981	2009
RUS	4	1989	2021
MLT	4	1985	2011
ITA	4	1981	2019
BLR	4	1989	2019
ROU	4	1992	2021
SRB	4	2003	2019
BIH	3	1991	2013
EST	3	1989	2011
LVA	3	1989	2011
PRT	3	1981	2011
MDA	3	1989	2014
...	9 more countries

Schema

Column	Type	Description	Example
country_name	string	—	Albania
country_iso3	string	—	ALB
year	int64	—	2001
Literacy rate among adults	float64	—	99.0

Usage

from datasets import load_dataset

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

Filter to one country

germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

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

Citation

@misc{europe_owid_literacy_2022,
  title        = {Literacy | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2022},
  url          = {https://ourworldindata.org/grapher/literacy},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-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 Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe 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/electricsheepeurope

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Provenance: ingested 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/literacy