GEO / Dataset

GEO Dataset

A harmonized, geocoded
school-level database

The GEO Dataset provides open, standardized, school-level administrative census data spanning geocoordinates, personnel, infrastructure resources, and educational outcomes across low- and middle-income countries — built for GeoAI, spatial data science, and development research.

Download Data View Coverage GitHub
—
countries available
4
data dimensions
80k+
schools
V1
current version

Coverage

Available countries
Available — click to explore
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Dataset Structure

Four joinable dimensions

Every country is structured as four flat CSV files sharing a common oedc_id key. All tables have identical column structure across countries.

📍
Geo
{ISO3}_geo.csv

School identity, geocoordinates with provenance tier, administrative hierarchy (adm0–adm3), GHSL urban/rural classification, and operational status. One row per school — no year column.

👩‍🏫
Personnel
{ISO3}_personnel.csv

Enrollment (total and sex-disaggregated), teaching staff counts, qualified teachers, classrooms, and pupil-teacher ratio. Aligned to UIS headcount definitions. One row per school × year.

🏗️
Resources
{ISO3}_resources.csv

WASH access (JMP basic tier), electricity, internet connectivity and type, computer lab, library, and permanent building status. All binary. One row per school × year.

📊
Outcomes
{ISO3}_outcomes.csv

Promotion, repetition, and dropout rates (UIS reconstructed cohort method), completion rate, and gross intake ratio where available. Expressed as proportions. One row per school × year.

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Access the data

All data is released under CC BY 4.0. Please cite the accompanying data descriptor when using the GEO Dataset in published work.

Schema documentation: Full variable definitions, NA rules, and standards anchors for all four dimensions are available in the dataset schema. Per-country harmonization notes documenting source provenance, variable mappings, and known quality issues are in /metadata/{ISO3}_metadata.md.
Country ISO3 Schools Dimensions Year(s) Metadata Download
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Full dataset bundle and harmonization notes also available on Harvard Dataverse upon V1 publication.

Citation

How to cite

Baier, H. (). Baier, H. (2025). GEO Dataset: A Multi-Country Geocoded School-Level Administrative 
Dataset for Low- and Middle-Income Countries [Data set]. GitHub. 
https://github.com/global-education-observatory/geo-dataset