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Tropical cyclone impact data in the Philippines: implications for disaster risk research

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  • Elizabeth G. Galloway

    (University of Exeter
    University of Exeter)

  • Jennifer L. Catto

    (University of Exeter)

  • Chunbo Luo

    (University of Exeter)

  • Stefan Siegert

    (University of Exeter)

Abstract

Natural hazards such as tropical cyclones (TCs) cause widespread destruction. Historical impact data provides a resource for understanding TC impacts and associated societal vulnerabilities which is essential for building resilience. However, characteristics of impact data such as resolution and coverage can influence its utility for disaster risk reduction (DRR) applications. With this in mind, we present a province-level impact dataset for TCs in the Philippines between 2010 and 2020 for deaths, affected population, housing damage and economic loss curated for DRR applications. Specifically, we evaluate the effect of the dataset’s spatial resolution and its coverage of hazard intensities, impact magnitudes and impact types and discuss the implications for DRR applications. Considering the utility of impact data within the context of DRR is crucial, and a dataset with comprehensive coverage of impact and hazard magnitudes and appropriate spatial resolution is pivotal for DRR applications. The research presents a guide for others using this dataset and data more generally in DRR applications.

Suggested Citation

  • Elizabeth G. Galloway & Jennifer L. Catto & Chunbo Luo & Stefan Siegert, 2025. "Tropical cyclone impact data in the Philippines: implications for disaster risk research," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(13), pages 15275-15296, July.
    • Handle: RePEc:spr:nathaz:v:121:y:2025:i:13:d:10.1007_s11069-025-07394-x
    DOI: 10.1007/s11069-025-07394-x
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