According to administrative data, as many as 25 million children between the ages of 5 and 16 are out-of-school in Pakistan. However, little is known about where these children are in relation to available public and private schooling options. This paper brings together novel data from satellite imagery, the population census, government school censuses of public schools and publicly available location data on private schools to understand the out-of-school phenomenon at the community level. The paper uses satellite imagery analysis and machine learning methods to present estimates of the accessibility of schools and to describe the white space between schools. The paper relies on administrative data from over 137,000 public schools and documents the existence of over 72,700 private schools using publicly available location data. Our approach suggests that 21.7 million children (49% of the total) are enrolled in private schools, higher than previously reported official estimates. We also present detailed data on how the out-of-school population, accessibility and whitespace are distributed geo-spatially across Pakistan. As an application of the strength of using satellite imagery, we also analyze the effect of a major flood event in 2022 on accessibility, white space and catchment areas. Doing so, we estimate that approximately 3.5 million children in Pakistan had their schooling affected by the 2022 floods. Lastly, we corroborate our findings from an in-person ground-truthing survey conducted about 18 months after the floods. Together, the datasets and methods presented in this paper have applications for both day-to-day monitoring of school infrastructure as well as pre- and post-disaster planning efforts in Pakistan and elsewhere.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced in a computer with the following specifications:
– OS: Windows 11 Enterprise
– Processor INTEL(R) XEON(R) PLATINUM 8562Y+, 2800 Mhz, 8 Core(s), 8 Logical Processor(s)
– Memory available: 106 GB
Runtime: ~19 hours
data_hash_report.csv, included in the package, specifies the exact file paths where each dataset must be placed once access is granted./2025/directory_creator.py/2025/whitespace/code//2025/spatial_accessibility/code//2025/catchment//2025/school_analysis/code/main.ipynb and plot.ipynb in /2025/school_analysis/code/./2025/school_analysis/results/, which can be used to inspect and compare the results against those reported in the paper.Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.
| Author | Affiliation | |
|---|---|---|
| Amer Hasan | World Bank | ahasan1@worldbank.org |
| Umar Saif | Aisightai | saif.umar@gmail.com |
| Ayesha Tahir | World Bank | atahir@worldbank.org |
| Koen Geven | World Bank | kgeven@worldbank.org |
| Mohsen Ali | Information Technology University of the Punjab | mohsen.ali@itu.edu.pk |
| Aliza Masood | Aisightai | aliza.masood@surveyauto.com |
| Muhammad Abdul Rahman | Information Technology University of the Punjab | abdulrehmanbhalli@live.com |
| Sheena Fazili | World Bank | fazilisheena@gmail.com |
2026-01-28
| Location | Code |
|---|---|
| Pakistan | PAK |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
| Name | Affiliation | |
|---|---|---|
| Amer Hasan | World Bank | ahasan1@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
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