Identifying naturally occurring retirement communities: A spatial analysis

June 23, 2014

Authors

  • Taka Yamashita
  • Jennifer M. Kinney

Guided by the concept of "aging in place" and potential policy implications, the study analyzed naturally occurring retirement communities (NORCs; 40% or greater house owners and renters aged 65 years and older) and whether there were spatiotemporal patterns in Ohio between 2000 and 2010. Data were derived from the 2000 and 2010 census tracts. Geovisualization was used to visually examine the distribution of NORCs in 2000 and 2010. Global Moran's I was used to quantify the spatial distribution of NORCs in Ohio and Local Moran's I was used to identify clusters of NORCs (i.e., hot spots). Locating NORCs could aid governments to create "aging in place" sensitive policies to address issues of independence, social care, health care, volunteerism, and community participation.

Journals of Gerontology Series B: Social Sciences, 70 (4). doi: 10.1093/geronb/gbu077

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