Predicting the Determinants of Homicides Rates Across the ECOWAS Region, 1960-2020

The purpose of this study was to predict the determinants homicide crime across ECOWAS region. used a correctional research design, with sample size 15 period ranging from 1960 2020. criterion variable rates, and predictor variables include development indicator-life expectancy at birth, economic inequality, youth unemployment, sex-ratio. SPSS process analyze dataset which came following agencies: WHO, World Bank, UNDP, etc. Ordinary Least Squared analysis high homicides rates finds following: weak inverse relationship between life birth (r = –0.317**) is significant 5% significance, moderately strong positive inequality 0.657**) –0.548**). Also, negative association sex-ratio (-0.287*). While unemployment exhibited associated (r=0.795). Above all that about 76.5% variations in could be attributed variables, such as or level development, sex ratio. Keywords: Homicide, Crime, ECOWAS, Unemployment, Inequality, Development, Life Expectancy, Gini-Index DOI: 10.7176/DCS/12-7-02 Publication date: September 30 th 2022