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<p>Research consistently shows that crime and disorder are concentrated at a small number of micro-places, but most studies have explored this pattern only in large cities. As a result, it remains unclear whether similar spatial patterns characterize crime and disorder in suburban and rural communities. This study addresses this gap by assessing how police calls-for-service (CFS) are distributed across micro-places in suburban and rural jurisdictions of Hamilton County, Ohio. Using CFS data from 2020–2022, the analysis focuses on street blocks and intersections and evaluates spatial concentration using standard benchmarks, Lorenz curves, and Gini coefficients. The study also evaluates whether high-demand locations are driven by specific types of calls or by mixed call patterns. Results show that CFS are highly concentrated: about 1% of micro-places account for 25% of all calls, and roughly 4% account for 50%. These patterns are stable across years and closely resemble those reported in urban settings. Additionally, high-call locations often generated a mix of quality-of-life, property, and violent calls rather than reflecting a single type of problem. These findings show that strong spatial concentration is not unique to cities and that suburban and rural hot spots often function as general problem locations that attract a mixture of criminal incidents, disorder, and service requests. The results suggest that place-based strategies may be effective in non-urban areas but should be tailored to the diverse problems present at these locations.</p>

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Beyond the Big-City Bias: Assessing the Concentration of Calls-for-Service in Suburban and Rural Micro-Places

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月14日

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  • Matthew McGrath,
  • Bradley J. O’Guinn,
  • Cory P. Haberman

摘要

Research consistently shows that crime and disorder are concentrated at a small number of micro-places, but most studies have explored this pattern only in large cities. As a result, it remains unclear whether similar spatial patterns characterize crime and disorder in suburban and rural communities. This study addresses this gap by assessing how police calls-for-service (CFS) are distributed across micro-places in suburban and rural jurisdictions of Hamilton County, Ohio. Using CFS data from 2020–2022, the analysis focuses on street blocks and intersections and evaluates spatial concentration using standard benchmarks, Lorenz curves, and Gini coefficients. The study also evaluates whether high-demand locations are driven by specific types of calls or by mixed call patterns. Results show that CFS are highly concentrated: about 1% of micro-places account for 25% of all calls, and roughly 4% account for 50%. These patterns are stable across years and closely resemble those reported in urban settings. Additionally, high-call locations often generated a mix of quality-of-life, property, and violent calls rather than reflecting a single type of problem. These findings show that strong spatial concentration is not unique to cities and that suburban and rural hot spots often function as general problem locations that attract a mixture of criminal incidents, disorder, and service requests. The results suggest that place-based strategies may be effective in non-urban areas but should be tailored to the diverse problems present at these locations.