Measurement Indicators of Age-Friendly Communities: Findings From the AARP Age-Friendly Community Survey

Cities and counties worldwide have adopted the concept of "age-friendly communities." These communities aspire to promote older adults' well-being by providing a safe, affordable built environment and a social environment that encourages their participation. A major limitation in this field is the lack of valid and reliable measures that capture the complex dimensionality and dynamic nature of the aging-environment interface.

This study uses data from the AARP 2016 Age-Friendly Community Surveys (N = 3,652 adults aged 65 and older). The survey includes 62 indicators of age-friendliness, for example, outdoor spaces, transportation, housing, social participation, and community and health services. We randomly split the sample into 2 equal subsamples for confirmatory factor analysis (CFA) and structural equation modeling (SEM).

CFA results indicated that both the 5-factor model and the second-order factor model adequately fit the data. In the SEM 5-factor model, outdoor space (β = 0.134; p = .017), social participation (β = 0.307; p < .001), and community and health services (β = -0.149; p = .008) were associated with self-rated health, the outcome of interest. The path coefficients of housing and transportation were not significant. In the second-order factor model, people who lived in more age-friendly communities reported better self-rated health (β = 0.295; p < .001).

Our findings show that the Age-Friendly Community Survey measures demonstrate reliability and concurrent validity. To promote older adults' well-being, practitioners, policymakers, and researchers should focus on improving their built and social environments. They can use these measures for short- and long-term planning, monitoring, and evaluating age-friendly community initiatives.