Geographic disparities in violent crime during the COVID-19 lockdown in Miami-Dade County, Florida, 2018–2020

Imelda K. Moise, Alex R. Piquero

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Abstract: Objectives: This study uses two cluster detection techniques to identify clusters of violent crime during the 3 months of the 2020 COVID-19 lockdown in Miami-Dade County compared to that during an equivalent period in 2018 and 2019. Methods: Violent crime data from the Miami-Dade Central Records Bureau were analyzed. The Local Indicators of Spatial Association statistics and a space‐time permutation statistic were used to identify clusters of violent crimes and outliers, and Global Moran’s I tool was used to assess spatial patterning in violent crime. Neighborhood disadvantage data were obtained from the American Community Survey 5-year estimates linked with arrest locations. Results: Violent crime arrests fell by 7.1% in 2020. Arrests were concentrated in predominantly Black disadvantaged neighborhoods in the northern part, and similar results were produced for core clusters by the two cluster techniques with positive global Moran’s I for all study years. Although accounting for only 17% of the county population, nearly half of violent crime arrests were for Black or African American. Males comprised most violent crime arrests. Conclusions: Crime prevention and intervention efforts should be focused on both high-risk places and offenders.

Original languageEnglish (US)
JournalJournal of Experimental Criminology
StateAccepted/In press - 2021


  • COVID-19
  • Geographic analysis
  • GIS
  • Miami-Dade County
  • Neighborhood Health
  • United States
  • Violence
  • Violent crime

ASJC Scopus subject areas

  • Law


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