Transcription of Baseline Indicators for Disaster Resilient Communities
{{id}} {{{paragraph}}}
Susan L. Cutter, Christopher T. Emrich, and Christopher G. BurtonHazards & Vulnerability Research InstituteUniversity of South CarolinaColumbia, SC Indicators for Disaster Resilient Communities CARRI WorkshopJuly 14-15 Broomfield, COData issues Availability of variables (national, regional) Recent values (esp. Census) Role of census undercounts Coverage of variables (spatial & temporal) How to quantify unquantifiable?Example: Reliance on old socio-demographic data: SoVI SoVI for SC uses 32 variables based on 2000 Census American Community Survey provides more recent information (~2005) Places >65,000 Four variables unavailable (nursing home residents/capita; % rural farm populations; % social security recipients; % populations living in urban areas Only 20/46 SC counties have ACS updatesSoVI 2000/SoVI ACS comparisons SoVI score not significantly different Spatial representation changes: function of changes in % native American; % Asian, % Hispanic, median age, people per housing unit; % renters, % unemployment, per capita income, % rich, % poverty, % agricultural employment, median contract rent.)
Social Variable Source Effect on Resilience Racial/ethnic inequality (Abs. value of difference in % black & % white) Norris et al. 2008; Cutter et al
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}