Poverty and Social Context in Remote Rural Communities1

Abstract Many urban analysts studying poor inner city communities argue that social isolation in poor neighborhoods perpetuates poverty. This paper extends analysis of social context to rural areas, comparing a chronically poor coal-dependent Appalachian community with a more diverse, resource-rich community in northern New England. The Appalachian community has more limited job opportunities and over time the scarcity of jobs in a volatile coal economy generated a divided social context. In contrast, the community in northern New England offers both more opportunities for work and has a stable, working middle class that invests in and uses public goods; the poor are not deliberately segregated. These differences in communities' socioeconomic context are reflected in poor women's experiences and aspirations.     

Suicide prevention and community-level indictors

This study sought to develop a set of easily obtainable, relevant measures of a community's condition that could be used to guide its suicide prevention efforts. Existing data were gathered across 159 Georgia counties for nine potential social indicators (rates of net migration, divorce, unemployment, violent crimes reported, driving under the influence of alcohol or drugs [DUI] crashes, high school dropouts, Temporary Assistance for Needy Families [TANF], percentage of population aged 65 or older, and percentage of population who are white males) that had been chosen by the communities. Data on the social indicators from 1995 through 1999 were averaged and analyzed to determine their correlation with aggregated 5-year county suicide rates. Results of multivariate modeling procedures showed number of DUI crashes and percentage of the population aged 65 or older to be significant correlates of the suicide rate, controlling for other potential indicators. These preliminary data may provide a useful model of a county's 5-year suicide rate among counties reporting 20 or more suicides. Research with additional indicators and in other states will help determine the generalizability of these findings to other communities.