Empirical Analysis of the Relationship Between Income Inequality and Violent Crime Rates Across Nigerian States

The relationship between income inequality and violent crime is theoretically central to strain theory and conflict criminology, but its empirical characterisation across Nigerian states, where inequality is extreme and regionally heterogeneous, has received inadequate scholarly attention. This study empirically analysed the relationship between income inequality (measured by state-level Gini coefficients from NBS 2019 and 2022 data) and violent crime rates (using NPF state crime statistics from 2018 to 2022) across all 36 Nigerian states and the FCT. A panel data regression methodology was employed, applying fixed effects and random effects models to test the income inequality-violent crime relationship while controlling for unemployment rates, urbanisation levels, police density, and poverty headcount. Panel regression results showed a significant positive relationship between Gini coefficient and homicide rates (beta = 0.43, p < 0.001) and robbery rates (beta = 0.38, p < 0.001) across the panel. The relationship was strongest in South South and South East states. Unemployment significantly moderated the inequality-crime relationship, with the joint effect stronger than either variable alone. Police density showed a significant negative association with robbery rates but not homicide. The study fills an empirical gap in Nigerian macro-level criminology and provides the first state-panel analysis of inequality-crime dynamics. Recommendations include inequality reduction policy prioritisation in crime prevention strategy and targeted security resource allocation to high-inequality states. Keywords: income inequality, violent crime, panel data analysis, Nigerian states, macro-criminology