This study examined individual and structural covariates of homicides among males aged 15-64 years, focusing on whether occupation and industry are risk factors for victimization. Cox's proportional hazards regression models were fitted to data from the National Longitudinal Mortality Study to estimate the effects of selected micro-level and macro-level covariates on homicide. Multivariate analysis indicated considerable racial or ethnic and socioeconomic disparities in homicide. Compared to non-Hispanic whites, Hispanics and African Americans were at higher risk of death. Those in the lowest occupational strata had a particularly high homicide risk. Others at elevated risk of homicide were persons in low-income strata and inner-city residents. Results showed that the mining industry had a significant effect on homicide. Bivariate analysis revealed that equipment operatives, operatives in general, farm laborers, farmers and farm foremen had elevated risks of homicide. However, multivariate analysis indicated no occupational differentials in the risk of homicide.
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