This study explores rural U.S. crime patterns with a focus on social capital. We use a triangulation of three core theories of crime including social disorganization, anomie/strain, and rational choice theories to develop a formal theory and an empirical framework. The role of four unique measures of social capital is explored in understanding patterns of rural crime using nonmetropolitan U.S. county data. The empirical results generally support the theoretical predictions and conclude that rural communities that pursue economic growth and development must be prepared to address the resulting upward pressures on crime. The results on social capital and crime provide numerous policy insights for rural communities. Copyright (c) 2010 Copyright the Authors. Journal compilation (c) 2010 Wiley Periodicals, Inc..

We explore the role of social capital in explaining patterns of rural larceny and burglary crime rates. We find consistent evidence that higher levels of social capital tend to be associated with lower levels of rural property crime rates. We also find that there is significant spatial heterogeneity in the underlying data‐generating process. This spatial heterogeneity suggests that relying on global estimates from classical statistical methods, such as least squares, may lead to erroneous policy recommendations at the local level. We suggest that some of the inconsistencies in the ecological empirical criminology literature might be explained by spatial heterogeneity.

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