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Identifying community characteristics associated with resident well-being: A population based study

Resource Type
Dataset : survey data
  • Roy, Brita (Yale University)
Publication Date
Free Keywords
  • Abstract

    Background: Well-being is a positively-framed, holistic assessment of health and quality of life that is associated with longevity and better health outcomes. We aimed to identify county attributes that are independently associated with a comprehensive, multi-dimensional assessment of individual well-being. Methods: We performed a cross-sectional study examining associations between 77 pre-specified county attributes and a multi-dimensional assessment of individual US residents’ well-being, captured by the Gallup-Sharecare Well-Being Index. Our cohort included 338,846 survey participants, randomly sampled from 3,118 US counties or county equivalents. Findings: We identified twelve county-level factors that were independently associated with individual well-being scores. Together, these twelve factors explained 91% of the variance in individual well-being scores, and they represent four conceptually distinct categories: demographic (% black); social and economic (child poverty, education level [
  • Weighting

  • Technical Information

    Response Rates: N/A
  • Technical Information

    Presence of Common Scales: Gallup-Sharecare Wellbeing Index
Temporal Coverage
  • 2010-01-01 / 2012-12-31
    Time Period: Fri Jan 01 00:00:00 EST 2010--Mon Dec 31 00:00:00 EST 2012
Geographic Coverage
  • United States
Sampled Universe
Survey respondents in the United StatesSmallest Geographic Unit: US FIPS code

Complex survey sampling. 
Collection Mode
  • telephone interview~~

    Survey responses are linked to FIPS code characteristics via geocoding. FIPS codes are masked. 


Update Metadata: 2018-03-05 | Issue Number: 1 | Registration Date: 2018-03-05

Roy, Brita (2018): Identifying community characteristics associated with resident well-being: A population based study. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.