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electricsheepasia/asia-owid-net-enrollment-rate-primary-gender-parity-index-gpi

Net Enrollment Rate Primary Gender Parity Index Gpi | Asia (Our World in Data) 🌏 875 observations · 48 Asia countries · 1970–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 875 observations of Net Enrollment Rate Primary Gender Parity Index Gpi data across 48 Asia countries, spanning 1970–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Net Enrollment Rate Primary… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-net-enrollment-rate-primary-gender-parity-index-gpi.

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Dataset Card

Net Enrollment Rate Primary Gender Parity Index Gpi | Asia (Our World in Data)

🌏 875 observations · 48 Asia countries · 1970–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 875 observations of Net Enrollment Rate Primary Gender Parity Index Gpi data across 48 Asia countries, spanning 1970–2024.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Net Enrollment Rate Primary Gender Parity Index Gpi

Geographic coverage

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

CountryRowsFirst yearLast year
BHR4419712023
OMN4119732022
KOR3919712022
QAT3719712022
SYR3319712024
LAO3219922024
PHL3119762023
IDN3119712018
JOR3019722023
MYS3019702023
KWT2919712013
ARE2719782023
KGZ2619962024
MNG2619952023
PSE2519992023
...33 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—1974
Net enrollment rates in primary education, adjusted gender parity indexfloat64—0.189

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-net-enrollment-rate-primary-gender-parity-index-gpi")
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="Net enrollment rates in primary education, adjusted gender parity index")

Citation

bibtex
@misc{asia_owid_net_enrollment_rate_primary_gender_parity_index_gpi_2024,
  title        = {Net Enrollment Rate Primary Gender Parity Index Gpi | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/net-enrollment-rate-primary-gender-parity-index-gpi},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-net-enrollment-rate-primary-gender-parity-index-gpi}}
}

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 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/net-enrollment-rate-primary-gender-parity-index-gpi