IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v35y2005i2p211-228.html

How Accurate are Disaster Loss Data? The Case of U.S. Flood Damage

Author

Listed:
  • MARY DOWNTON

  • ROGER PIELKE

Abstract

Policy makers need accurate disaster loss data for decisions about disaster assistance, policy evaluation, and scientific research priorities. But loss estimation is difficult in a disaster situation, and initial loss estimates are seldom evaluated in comparison with actual costs. This paper uses the example of historical flood damage data in the U.S. to evaluate disaster loss data. It evaluates the accuracy of historical flood damage estimates from two federal agencies. The U.S. National Weather Service (NWS) has compiled annual flood loss estimates for each state since 1955. Comparison of the NWS data with similar estimates from five state emergency management agencies reveals substantial disagreement between estimates from different sources. The Federal Emergency Management Agency (FEMA) began in the 1990s to systematically collect damage estimates and cost data associated with its disaster assistance programs. Comparison of early damage estimates with actual expenditures in a California flood disaster reveals large errors in some estimates for individual counties, but no statistically significant tendency to underestimate or overestimate. Positive and negative errors tend to average out and the total damage estimate for the state approximates the final expenditures. Both comparisons indicate that damage estimates for small events or local jurisdictions often are extremely inaccurate. On the other hand, estimates aggregated over large areas or long time periods appear to be reasonably reliable; that is, this study finds that independent estimates for events with losses greater than $500 million disagree by less than 40. The paper suggests ways of interpreting and using such loss estimates to reduce the likelihood of misinterpretation. Copyright Springer 2005

Suggested Citation

  • Mary Downton & Roger Pielke, 2005. "How Accurate are Disaster Loss Data? The Case of U.S. Flood Damage," 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. 35(2), pages 211-228, June.
  • Handle: RePEc:spr:nathaz:v:35:y:2005:i:2:p:211-228
    DOI: 10.1007/s11069-004-4808-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-004-4808-4
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-004-4808-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Paulo Guimaraes & Frank L. Hefner & Douglas P. Woodward, 1993. "Wealth And Income Effects Of Natural Disasters: An Econometric Analysis Of Hurricane Hugo," The Review of Regional Studies, Southern Regional Science Association, vol. 23(2), pages 97-114, Fall.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jolley, G. Jason & O'Donovan, Kristin Taylor & Sandler, Austin M., 2017. "Do Rural Areas Experience the Same Benefit as Urban Areas from Disasters?," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 48(01), June.
    2. Robert A. Baade & Robert Baumann & Victor Matheson, 2007. "Estimating the Economic Impact of Natural and Social Disasters, with an Application to Hurricane Katrina," Urban Studies, Urban Studies Journal Limited, vol. 44(11), pages 2061-2076, October.
    3. Jun Zhai & Zhuo Ning, 2022. "Models for the Economic Impacts of Forest Disturbances: A Systematic Review," Land, MDPI, vol. 11(9), pages 1-16, September.
    4. Maria Marshall & Holly Schrank, 2014. "Small business disaster recovery: a research framework," 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. 72(2), pages 597-616, June.
    5. Michael R. Greenberg & Michael Lahr & Nancy Mantell, 2007. "Understanding the Economic Costs and Benefits of Catastrophes and Their Aftermath: A Review and Suggestions for the U.S. Federal Government," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 83-96, February.
    6. Yu Xiao, 2011. "Local Economic Impacts Of Natural Disasters," Journal of Regional Science, Wiley Blackwell, vol. 51(4), pages 804-820, October.
    7. Shaughnessy, Timothy M. & White, Mary L. & Brendler, Michael D., 2010. "The Income Distribution Effect of Natural Disasters: An Analysis of Hurricane Katrina," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 40(01), pages 1-12.
    8. Anita Schiller, 2011. "The impact of a storm surge on business establishments in the Houston MSA," 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. 56(1), pages 331-346, January.
    9. Bradley T. Ewing & Daan Liang & Yuepeng Cui, 2014. "A Time Series Approach to Examining Regional Economic Resiliency to Hurricanes," American Journal of Economics and Sociology, Wiley Blackwell, vol. 73(2), pages 369-391, April.
    10. Veronica Leoni & David Boto-GarcĂ­a, 2023. "The Effect of Natural Disasters on Hotel Demand, Supply and Labour Markets: Evidence from the La Palma Volcano Eruption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(4), pages 755-780, December.
    11. Ewing Bradley T. & Kruse Jamie Brown & Sutter Daniel, 2009. "An Overview of Hurricane Katrina and Economic Loss," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 4(2), pages 1-14, April.
    12. Walker Douglas M & Jackson John D, 2009. "Katrina and the Gulf States Casino Industry," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 4(2), pages 1-17, April.
    13. Ewing, Bradley T. & Kruse, Jamie Brown & Thompson, Mark A., 2004. "Employment Dynamics and the Nashville Tornado," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 34(4), pages 1-14.
    14. Bradley T. Ewing & Jamie Brown Kruse, 2002. "The Impact of Project Impact on the Wilmington, North Carolina, Labor Market," Public Finance Review, , vol. 30(4), pages 296-309, July.
    15. Aaron B. Gertz & James B. Davies & Samantha L. Black, 2019. "A CGE Framework for Modeling the Economics of Flooding and Recovery in a Major Urban Area," Risk Analysis, John Wiley & Sons, vol. 39(6), pages 1314-1341, June.
    16. Sutter Daniel & Ewing Bradley T., 2016. "State of Knowledge of Economic Value of Current and Improved Hurricane Forecasts," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 11(1), pages 45-64, June.
    17. David G. Lenze, 1997. "Dynamic and Spatial Impact of Hurricane Andrew on Florida'S Taxable Sales: An Intervention Analysis," The Review of Regional Studies, Southern Regional Science Association, vol. 27(2), pages 163-183, Fall.
    18. Bradley Ewing & Jamie Kruse & Yongsheng Wang, 2007. "Local housing price index analysis in wind-disaster-prone areas," 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. 40(2), pages 463-483, February.
    19. Ariel Belasen & Chifeng Dai, 2014. "When oceans attack: assessing the impact of hurricanes on localized taxable sales," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(2), pages 325-342, March.
    20. Thompson Mark A, 2009. "Hurricane Katrina and Economic Loss: An Alternative Measure of Economic Activity," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 4(2), pages 1-11, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:35:y:2005:i:2:p:211-228. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.