Life-span psychological research has long been interested in the contextual embeddedness of individual development. To examine whether and how regional variables relate to between-person disparities in the progression of late-life well-being, we applied three-level growth curve models to 24-year longitudinal data from deceased participants of the German Socio-Economic Panel Study (N ϭ 3,427; age at death ϭ 18 to 101 years). Results indicated steep declines in well-being with impending death, with some 8% of the between-person differences in both level and decline of well-being reflecting between-county differences. Exploratory analyses revealed that individuals living and dying in less affluent counties reported lower late-life well-being, controlling for key individual predictors, including age at death, gender, education, and household income. The regional variables examined did not directly relate to well-being change but were found to moderate (e.g., amplify) the disparities in change attributed to individual variables. Our results suggest that resource-poor counties provide relatively less fertile grounds for successful aging until the end of life and may serve to exacerbate disparities. We conclude that examinations of how individual and residential characteristics interact can further our understanding of individual psychological outcomes and suggest routes for future inquiry.Keywords: neighborhoods, selective mortality, successful aging, well-being, longitudinal methods Life-span psychological and life course sociological perspectives have long proposed that individual development both actively influences and is influenced by contextual factors (Baltes, 1987;Bronfenbrenner, 1979;Lawton, 1982;Lerner, 1991;Magnusson & Cairns, 1996;Verbrugge & Jette, 1994). Consistent with these proposals, empirical research has produced a substantial body of evidence that, net of individual factors, community-level characteristics such as socioeconomic disadvantage or violence are indeed linked with individuals' functional health, well-being, and mortality (Argyle, 1999;Balfour & Kaplan, 2002;Kawachi & Berkman, 2003;Krause, 2003;Marmot & Wilkinson, 1999;Ross & Mirowsky, 2001;Sampson, Morenoff, & Gannon-Rowley, 2002;Silver, Mulvey, & Swanson, 2002). It is an open question, however, whether and how community and geographic factors relate to between-person differences in the progression of wellbeing, particularly at the end of life. In the current study, we applied three-level growth curve models to 24-year longitudinal data on life satisfaction, a key component of well-being, obtained