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Objective. County‐level socioeconomic and demographic data were used to construct an index of social vulnerability to environmental hazards, called the Social Vulnerability Index (SoVI) for the United States based on 1990 data. Methods. Using a factor analytic approach, 42 variables were reduced to 11 independent factors that accounted for about 76 percent of the variance. These factors were placed in an additive model to compute a summary score—the Social Vulnerability Index. Results. There are some distinct spatial patterns in the SoVI, with the most vulnerable counties clustered in metropolitan counties in the east, south Texas, and the Mississippi Delta region. Conclusion. Those factors that contribute to the overall score often are different for each county, underscoring the interactive nature of social vulnerability—some components increase vulnerability; others moderate the effects.
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Susan L. Cutter
Rutgers, The State University of New Jersey
Bryan Boruff
The University of Western Australia
W. Lynn Shirley
University of South Carolina
Social Science Quarterly
University of South Carolina
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Cutter et al. (Mon,) studied this question.
synapsesocial.com/papers/69d780bef44a16d01ef31840 — DOI: https://doi.org/10.1111/1540-6237.8402002
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