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electricsheepeurope/europe-owid-net-enrollment-pre-primary-boys-vs-girls

Net Enrollment Pre Primary Boys Vs Girls | Europe (Our World in Data) 🇪🇺 755 observations · 42 Europe countries · 2000–2024 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 755 observations of Net Enrollment Pre Primary Boys Vs Girls data across 42 Europe countries, spanning 2000–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Net Enrollment Pre Primary Boys Vs Girls… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-net-enrollment-pre-primary-boys-vs-girls.

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Dataset Card

Net Enrollment Pre Primary Boys Vs Girls | Europe (Our World in Data)

🇪🇺 755 observations · 42 Europe countries · 2000–2024 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 755 observations of Net Enrollment Pre Primary Boys Vs Girls data across 42 Europe countries, spanning 2000–2024.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Net Enrollment Pre Primary Boys Vs Girls

Geographic coverage

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

CountryRowsFirst yearLast year
AUT2420002023
BGR2420002023
DEU2420002023
SWE2420002023
ITA2420002023
FIN2420002023
DNK2320002023
CZE2320002022
CHE2320002023
BEL2320002022
LTU2320002022
FRA2320002022
SVK2320012023
ISL2320002022
PRT2220002022
...27 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Andorra
country_iso3string—AND
yearint64—2004
Net enrollment rate, pre-primary, boys (%)float64—98.97
Net enrollment rate, pre-primary, girls (%)float64—100.0
World region according to OWIDstring—Europe

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-net-enrollment-pre-primary-boys-vs-girls")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Net enrollment rate, pre-primary, boys (%)")

Citation

bibtex
@misc{europe_owid_net_enrollment_pre_primary_boys_vs_girls_2024,
  title        = {Net Enrollment Pre Primary Boys Vs Girls | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/net-enrollment-pre-primary-boys-vs-girls},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-net-enrollment-pre-primary-boys-vs-girls}}
}

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


Provenance: ingested 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/net-enrollment-pre-primary-boys-vs-girls