Data on hurricane-induced unplanned school closures in the East and Gulf Coast of the US.

Diako Abbasi, Safoura Safari, Roshanak Nateghi, Allison C Reilly

Abstract read

In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

Data on hurricane-induced unplanned school closures in the East and Gulf Coast of the US.Data in brief · 2025
Article

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Diako AbbasiUniversity of Maryland, Department of Civil and Environmental Engineering, 1173 Glenn Martin Hall, College Park, MD 20742, USA.

Safoura SafariUniversity of Maryland, Department of Civil and Environmental Engineering, 1173 Glenn Martin Hall, College Park, MD 20742, USA.

Roshanak NateghiGeorgetown University, Earth Commons, 111 Massachusetts Ave NW Washington, DC 20001, USA.

Allison C ReillyUniversity of Maryland, Department of Civil and Environmental Engineering, 1173 Glenn Martin Hall, College Park, MD 20742, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents data on Prolonged Unplanned School Closures (PUSCs) caused by hurricanes and affecting school districts along the East and Gulf Coasts of the United States between the 2011/12 and 2018/19 academic years. PUSCs are school closures lasting at least seven days that were not part of the school calendar at the start of the academic year. The dataset additionally includes counterfactual observations, meaning information pertaining to school districts affected by hurricanes, but that either did not close, or that did not experience a prolonged closure. We additionally incorporate school-district level data on socioeconomic characteristics, geography, school district capacity, and hazard characteristics. These data are used in the paper titled "Learning after the storm: Characterizing and Understanding Prolonged Unplanned School Closures After Hurricane"[1]. This dataset can be leveraged to uncover patterns of PUSCs, evaluate the impacts of various factors on school closure duration, and identify appropriate policies and strategies to enhance community resilience by minimizing the potential and the impacts of school closures. Looking ahead, the expected change of hurricane frequency and intensity under climate change makes such systematic data compilation an especially critical resource for both public and academic use.

Indexed as

Community resilienceDisaster impact analysisDisaster preparednessEducation disruption

Identifiers

PMID41210361

DOI10.1016/j.dib.2025.112186

PMCPMC12595074

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