Measuring crime concentration without police data: evidence from Suburban Abuja, Nigeria

Abstract This study examines crime in suburban Abuja, Nigeria, to assess whether the patterns of crime concentration commonly identified in developed contexts are also evident in an understudied, data-poor suburban African setting. In the absence of granular police crime data, the study utilised detailed, georeferenced door-to-door survey data from over 3,000 properties at the individual-property level, which were subsequently aggregated to street-segment and neighbourhood units. The levels of crime concentration were assessed using descriptive statistics, Lorenz curves and generalised G’ statistics. The findings indicate that crime is concentrated across all spatial units, assuming equal opportunity distributions within each unit. These findings are broadly consistent with previous studies from developed countries and suggest that place-based prevention strategies targeting high-crime locations may also be applicable in similar developing-country contexts.

Authors

Institutions

Publication Details

Journal
Crime Prevention and Community Safety
Published
2026-09-09
DOI
https://doi.org/10.1057/s41300-026-00253-2
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring crime concentration without police data: evidence from Suburban Abuja, Nigeria

Andrew Newton, Abdulaziz Ibrahim, James Hunter
Crime Prevention and Community Safety
Crime Patterns and Interventions
article

Measuring crime concentration without police data: evidence from Suburban Abuja, Nigeria

Andrew Newton, Abdulaziz Ibrahim, James Hunter
article en

Abstract

Abstract This study examines crime in suburban Abuja, Nigeria, to assess whether the patterns of crime concentration commonly identified in developed contexts are also evident in an understudied, data-poor suburban African setting. In the absence of granular police crime data, the study utilised detailed, georeferenced door-to-door survey data from over 3,000 properties at the individual-property level, which were subsequently aggregated to street-segment and neighbourhood units. The levels of crime concentration were assessed using descriptive statistics, Lorenz curves and generalised G’ statistics. The findings indicate that crime is concentrated across all spatial units, assuming equal opportunity distributions within each unit. These findings are broadly consistent with previous studies from developed countries and suggest that place-based prevention strategies targeting high-crime locations may also be applicable in similar developing-country contexts.

Crime Prevention and Community Safety
National Space Research and Development Agency (NG), Nottingham Trent University (GB)
No poverty
Openalex Percentile: Top 4%
Crime Patterns and Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.