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Journal Article

Flooding, Sociospatial Risk, and Population Health

Ethan J. Raker
Demography (2025) 62 (1): 61–85.
DOI: https://doi.org/10.1215/00703370-11792975
Published: 01 February 2025
... confounding or examined how sociospatial determinations of risk, such as floodplain delineation, affect well-being. Using the case of Hurricane Harvey, I leverage novel, repeated cross-sectional health survey data from Houston immediately predisaster ( N = 2,540) and six to nine months postdisaster ( N...
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View articletitled, Flooding, Sociospatial Risk, and Population Health View PDF for article titled, Flooding, Sociospatial Risk, and Population Health
Includes: Supplementary data
Image
Fig. 4 alt-text: Contour plots showing the predicted probability of psychological distress by flooding score and floodplain coverage before and after Hurricane Harvey, with an inset scatterplot of respondents.

Contour plots of the predicted probability of psychological distress by flo...

in Flooding, Sociospatial Risk, and Population Health > Demography
Published: 01 February 2025
Fig. 4 Contour plots of the predicted probability of psychological distress by flooding ( z ) and floodplain coverage (%) before and after Hurricane Harvey. The predicted probability of distress is estimated from a generalized DDD linear probability model. Controls include sex, race and ethnicity More
Journal Article

Migration as a Vector of Economic Losses From Disaster-Affected Areas in the United States

Jack DeWaard, Elizabeth Fussell, Katherine J. Curtis, Stephan D. Whitaker, Kathryn McConnell ...
Demography (2023) 60 (1): 173–199.
DOI: https://doi.org/10.1215/00703370-10426100
Published: 01 February 2023
.... 1 We selected these places, first, by identifying the most costly hurricanes, tornadoes, and wildfires from lists provided by the National Hurricane Center (2018 ; for example) and other sources. These include Hurricanes Katrina in August of 2005 (Louisiana), Harvey in August of 2017 (Texas...
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View articletitled, Migration as a Vector of Economic Losses From Disaster-Affected Areas in the United States View PDF for article titled, Migration as a Vector of Economic Losses From Disaster-Affected Areas in the United States
Includes: Supplementary data
Image
Fig. 1 Out-migration from disaster-affected areas. From left-to-right and top-to-bottom, graphs are organized by hurricane (Katrina, Harvey, and Maria), tornado (Joplin, Tuscaloosa–Birmingham, and Moore), and wildfire (Carr, Camp, and Nuns). For ease of display, scales of y-axes range from zero to the maximum value observed for each place and differ across graphs. Year is centered on the quarter-year in which the extreme weather disaster occurred, such that Year −1 refers to one year prior to the disaster, Year 0 refers to the year of and after the disaster, and Years 1–3 refer to the three years after that. Sources: Federal Reserve Bank of New York/Equifax Consumer Credit Panel, Spatial Hazard Events and Losses Database for the United States (SHELDUS), and authors' calculations.

Out-migration from disaster-affected areas. From left-to-right and top-to-b...

in Migration as a Vector of Economic Losses From Disaster-Affected Areas in the United States > Demography
Published: 01 February 2023
Fig. 1 Out-migration from disaster-affected areas. From left-to-right and top-to-bottom, graphs are organized by hurricane (Katrina, Harvey, and Maria), tornado (Joplin, Tuscaloosa–Birmingham, and Moore), and wildfire (Carr, Camp, and Nuns). For ease of display, scales of y -axes range from More