Estimating the school-age population to be serviced by national education systems is the cornerstone of any educational planning process. Nonetheless, this is also one of the trickiest exercises, as population estimates by relevant age and sex breakdowns are not necessarily disseminated by the national statistical offices as often and granularly as they would be needed by the ministry of education, and other stakeholders. In disaster-prone areas, locating school-age populations exposed to natural hazards means that educational and emergency services can be deployed in the most efficient manner to reach them, and helps anticipate displacement. The approach proposed here aims at combining spatialized school-age population estimates with data derived from satellite imagery (or with indices created from earth science data, earth observation, climate, etc.) produced during or right after a natural event, to estimate age and sex-disaggregated displacement exposure. This background paper is prepared in the context of the 2022 IDMC GRID report, and the methodology presented should be of interest to all planners and managers in ministries of education, humanitarian organizations, and development partners, and anyone eager to better identify the school-age populations exposed to natural hazards, and better plan responses for potentially displaced students. Finally, the methodology presented here can be used to triangulate the estimates produced by other methodologies with regards to educational provision, especially those produced by direct observation or key informants.