Crime Concentration at Buildings: Nordic Evidence on the Impact of Housing Ownership on Crime

Abstract This study examines the concentration of crime at residential buildings and investigates whether housing ownership has an impact on such a concentration. Using Geographic Information Systems (GIS), police-recorded crime data were geocoded at the building level and combined with socio-demographic and land use variables in Poisson regression models. The results indicate that a small percentage of buildings is responsible for a large proportion of crimes. This pattern persists even after offences are standardised by the number of apartments. Buildings under private housing ownership are generally associated with lower crime levels than those under rental; however, this relationship is not uniform across private housing companies and different types of crime. Findings point to the need for further research into how building-level management practices interact with neighbourhood-wide policing strategies and other micro-level factors, such as a building’s design, location, and accessibility, in shaping crime outcomes.

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Publication Details

Journal
American Journal of Criminal Justice
Published
2025-11-15
DOI
https://doi.org/10.1007/s12103-025-09878-9
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
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article

Crime Concentration at Buildings: Nordic Evidence on the Impact of Housing Ownership on Crime

Vânia Ceccato, Jonatan Abraham, Ioannis Ioannidis, Gabriel Gliori
American Journal of Criminal Justice
Crime Patterns and Interventions
article

Crime Concentration at Buildings: Nordic Evidence on the Impact of Housing Ownership on Crime

Vânia Ceccato, Jonatan Abraham, Ioannis Ioannidis, Gabriel Gliori
article en

Abstract

Abstract This study examines the concentration of crime at residential buildings and investigates whether housing ownership has an impact on such a concentration. Using Geographic Information Systems (GIS), police-recorded crime data were geocoded at the building level and combined with socio-demographic and land use variables in Poisson regression models. The results indicate that a small percentage of buildings is responsible for a large proportion of crimes. This pattern persists even after offences are standardised by the number of apartments. Buildings under private housing ownership are generally associated with lower crime levels than those under rental; however, this relationship is not uniform across private housing companies and different types of crime. Findings point to the need for further research into how building-level management practices interact with neighbourhood-wide policing strategies and other micro-level factors, such as a building’s design, location, and accessibility, in shaping crime outcomes.

American Journal of Criminal JusticeVol. 51(1)
KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 56%
Crime Patterns and Interventions
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