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Tornado fatalities and mobile homes in the United States

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  • Daniel Sutter
  • Kevin Simmons

Abstract

Fatalities from tornadoes have declined dramatically over the last century in the United States. Despite the overall reduction in tornado lethality, fatalities from mobile homes remain high. In fact, research suggests that the likelihood of a fatality in a mobile home is ten times or more than that in a permanent home. This study examines possible explanations of the mobile home tornado problem, including the potential for concentration of these homes in tornado prone states, the relation to Fujita Scale rating, and incidence during the day. We find that mobile home fatalities are concentrated in the Southeastern US, significantly more likely in weaker tornadoes, and occur disproportionately at night. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • Daniel Sutter & Kevin Simmons, 2010. "Tornado fatalities and mobile homes in the United States," 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. 53(1), pages 125-137, April.
    • Handle: RePEc:spr:nathaz:v:53:y:2010:i:1:p:125-137
    DOI: 10.1007/s11069-009-9416-x
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    References listed on IDEAS

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    1. Thomas Schmidlin & Barbara Hammer & Yuichi Ono & Paul King, 2009. "Tornado shelter-seeking behavior and tornado shelter options among mobile home residents in the United States," 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. 48(2), pages 191-201, February.
    2. Louis De Alessi, 1996. "Error and Bias in Benefit-Cost Analysis: HUD's Case for the Wind Rule," Cato Journal, Cato Journal, Cato Institute, vol. 16(1), pages 129-147, Spring/Su.
    3. Marshall, Maria I. & Marsh, Thomas L., 2007. "Consumer and investment demand for manufactured housing units," Journal of Housing Economics, Elsevier, vol. 16(1), pages 59-71, March.
    4. Colin F. Camerer & Howard Kunreuther, 1989. "Decision processes for low probability events: Policy implications," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 8(4), pages 565-592.
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    Cited by:

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    2. Jennifer M. First & Kelsey Ellis & Mary Lehman Held & Florence Glass, 2021. "Identifying Risk and Resilience Factors Impacting Mental Health among Black and Latinx Adults following Nocturnal Tornadoes in the U.S. Southeast," IJERPH, MDPI, vol. 18(16), pages 1-13, August.
    3. Douglas Sono & Ye Wei & Ying Jin, 2021. "Assessing the Climate Resilience of Sub-Saharan Africa (SSA): A Metric-Based Approach," Land, MDPI, vol. 10(11), pages 1-23, November.
    4. Marius Paulikas & Walker Ashley, 2011. "Thunderstorm Hazard vulnerability for the Atlanta, Georgia metropolitan region," 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. 58(3), pages 1077-1092, September.
    5. José Francisco León-Cruz & Rocío Castillo-Aja, 2022. "A GIS-based approach for tornado risk assessment in Mexico," 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. 114(2), pages 1563-1583, November.

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