Using administrative data to estimate population displacement and resettlement following a catastrophic US disaster

被引:19
作者
Plyer, Allison [1 ]
Bonaguro, Joy [2 ]
Hodges, Ken [3 ]
机构
[1] Tulane Univ, Greater New Orleans Community Data Ctr Nonprofit, New Orleans, LA 70130 USA
[2] Univ Calif Berkeley, Berkeley, CA 94720 USA
[3] Nielsen Claritas, Schaumburg, IL USA
关键词
Disaster; Hurricane Katrina; Population displacement; Population estimates; Natural disasters; Natural hazards; Demography; Demographic data; HOUSING UNIT METHOD; DETERMINANTS; PARTICIPATION; ELECTIONS; FLORIDA;
D O I
10.1007/s11111-009-0091-3
中图分类号
C921 [人口统计学];
学科分类号
摘要
After a large scale evacuation, authorities need to know the new and frequently changing population distributions in order to meet needs for housing, schools, health care, and other services. This paper reviews literature from the fields of demography and other disciplines to identify available administrative data sets that can form the basis of sound, relevant, and timely county-level population estimates following a catastrophic U.S. event. The most appropriate data to estimate population in damaged counties will be disaster-specific data such as housing damage estimates and FEMA applicant counts initially, and later electric accounts and USPS active residences. In heavily damaged counties, data on electric accounts and USPS active residences may not be consistently collected for many months, during which time sample surveys may be needed. For counties that receive an influx of population, school enrollment data provide the most appropriate basis for population estimates. Population estimates for large, heavily damaged counties are highly uncertain. Sensitivity analysis when using estimates for planning in these areas is recommended. The Census Bureau can build on this research by codifying recommendations to local authorities for developing frequent post-disaster population estimates.
引用
收藏
页码:150 / 175
页数:26
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