Use of Principal Component Analysis for Evaluation of Causes of Insecurity and Crime Rate Investigation in Niger State, Nigeria

Abstract

In this research, Principal Component Analysis (PCA) is utilized for evaluation of causes of insecurity and crime rate investigation in Niger State, Nigeria. Data obtained based on the Principal Component Analysis reveals 76.74% total variation. The outcome extracted three PCs out of the 13 original variables, which implies a great dimensionality reduction, namely: Population, Population Density and Sex Ratio. The paper suggested that, addressing the root causes of crime such as population, drug/arrest, domestic product and sex-ratio will mitigate the insecurity and as well as crime rate in Niger state, Nigeria.

Keywords

• Population Density;
• Insecurity;
• Crime Rate;
• Poverty Rate