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|Title: ||Spatial Analysis of Crime within the Kumasi Metropolis|
|Authors: ||Numan, Mohammed|
|Issue Date: ||14-Oct-2017|
|Abstract: ||Africa cities in general and specifically Ghanaian cities are fast turning into centres of crime. Of particular concern is how crimes in our cities are distributed and how local socio-economic and demographic characteristics influence its distribution. Thus, understanding the context of crime is a key to developing informed policy that will reduce crime in communities.
The purpose of this research is, therefore, to understand the spatial pattern of crime in the City of Kumasi, Ashanti Region. Specifically, the research seeks to establish the relationship between neighbourhood socioeconomic and demographic characteristics and crime within the Kumasi metropolis and to identify what accounts for the uneven distribution of crime in Kumasi. Data were collected through purposive and a multi stage sampling technique.
Maps were generated to indicate the distribution of crime within the Kumasi metropolis, while the ordinary least square regression analysis was used to establish the relationship between total crime density and neighbourhood socioeconomic and demographic characteristics.
Evidence from the field suggests that, levels of crime within the sub-metros of the Kumasi metropolis are not evenly distributed, with Asawase, Subin, Old Tafo, Suame and Manhyia sub-metros experiencing more crime than Kwadaso, Oforikrom, Nhyiaeso, Asokwa and Bantama sub-metros.
From the discussion of the related literature and field data, the following findings emerged: first, total crime density was found to have a fairly significant linear relationship with neighbourhood socio-economic and demographic features such as population, population density, levels of income and room occupancy rate and that there exist a linear relationship between crime density; second, neighbourhood socio-economic characteristics were found to be a strong predictor of levels of crime within the metropolis and it is conditioned by neighbourhood factors such as population, income, property value and room occupancy rate; third, crime within the Kumasi metropolis is not evenly distributed over the city because of differences in socio-economic and demographic factors; and fourth, the use of statistical methods provide solid support for its application as a tool in studying crime within neighbourhoods in Ghana.
These findings imply a fairly strong correlation between levels of crime and neighbourhood socioeconomic and demographic features; suggesting that understanding the where and when of criminal events is important to understanding how crime can be controlled and prevented. In spite of its tremendous potential for crime reduction, understanding neighbourhood characteristics does not appear to have been mainstreamed into most crime prevention strategies in Ghana and elsewhere; particularly in the developing world. This therefore calls for conscious efforts by governments to mainstream neighbourhood socioeconomic and demographic characteristics into crime prevention strategies.|
|Description: ||A thesis submitted to the School of Graduate Studies, Kwame Nkrumah University of Science and Technology, Kumasi in Partial Fulfilment of the Requirements for the Degree of Master of Science in Development Policy and Planning, 2014|
|Appears in Collections:||College of Architecture and Planning|
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