Summary information

Study title

Assessing the Impacts of Various Street-Level Characteristics on the Burden of Urban Burglary in Kaduna, Nigeria, 2014

Creator

Cheshire, J, UCL

Study number / PID

857541 (UKDA)

10.5255/UKDA-SN-857541 (DOI)

Data access

Open

Series

Not available

Abstract

Evidence suggests that crimes committed in urban environments are geographically concentrated across a range of scales, and that the variation in rates of crime within an urban space is significantly dependent on the physical environment as well as the situation in which the crime takes place. However, these assertions are typically drawn from environmental criminological studies that have focussed on Euro-American cities and western intellectual perspectives. We seek to move beyond these by focussing on a second-tier city in sub-Saharan Africa (Kaduna, Nigeria), a context for which very little literature exists. The deposited dataset was used to examine the association between a range of street characteristics and the risk of residential burglary in Kaduna for the first time.

This mixed-methods research aims to bring together key development concerns related to sustainable livelihoods, social vulnerability, and poverty to build an alternative account of 'insecurity and crime' in African cities where the lines between legality and illegality, formality and informality, licit and illicit work, are often blurred in practice. We argue that the study of insecurity and crime in African cities requires a more nuanced understanding of African urbanisation patterns and historical legacies of uneven development. Situated at the nexus of population modelling, criminology, African studies, and urban geography, this project aims to challenge prevailing Euro-centric narratives of crime and victimisation through an innovative mixed-methods study. Combining statistical modelling, geovisualisation and ethnographic insights, the research aims to develop location appropriate approaches to investigate perceptions and seasonal trends of crime and victimisations in a West African city, situating the research within the broader context of African urbanisation, environment-induced seasonal migration, youth un-employment and informal economies.

Methodology

Data collection period

01/03/2014 - 01/07/2014

Country

Nigeria

Time dimension

Not available

Analysis unit

Geographic Unit

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric
Geospatial

Data collection mode

Household survey information were aggregated to a street segment to determine whether certain street characteristics such as street accessibility metrics, street segment length (in meters), business activities and SES were associated with an increased risk of burglary. The main outcome of focus is the total number of residential households to have reported being burgled (at least once) within the last year on a street segment.

Funding information

Grant number

ES/R001596/1

Access

Publisher

UK Data Service

Publication year

2024

Terms of data access

The Data Collection is available to any user without the requirement for registration for download/access.

Related publications

Not available