This study investigates the claim that women are disproportionately more likely to die in disasters by reviewing existing data sources and compiling new datasets on sex-differentiated disaster fatalities in the twenty-first century. The analysis is structured by disaster type, covering geophysical, meteorological, climatological, hydrological, and biological hazards, as well as broader national-level patterns based on global databases. It examines high-impact events across these disaster types and validates sex-disaggregated fatality patterns by integrating and assessing multiple data sources and demographic proxies. The findings do not support the widely cited claim of consistently higher female mortality. Instead, sex-disaggregated data remain very limited, and the evidence is largely inconclusive, except for biological disasters where male fatalities are consistently higher. Rather than assuming disproportionate effects in advance, sex-specific patterns should be assessed empirically. The study recommends mandatory, systematic reporting of gender-disaggregated fatalities and greater attention to differences in gender-based vulnerabilities across disaster types and contexts.
Olivier Rubin (Mon,) studied this question.