Using data from the Chicago Homicide Dataset for years 1988-1992 and the Chicago Community Area Demographics, multiple regression and mediation analysis are used to examine various community level factors’ impact on Intimate Partner Homicide (IPH) rates per Chicago community area. The relationship between the percentage of non-white and IPH rate per Chicago community area is significant and positive, but disappears once economic strain is taken into account, as well as when family disruption is included in the model. There is a weak, but positive relationship between population density and IPH rates, but neither economic strain nor family disruption mediates the relationship between population density and IPH rates. Economic deprivation is positively related to IPH rates, but economic strain and family disruption partially mediate the relationship between economic deprivation and IPH rates. Finally, the relationship between the percentage of males aged 30-59 and IPH rates per community area in Chicago is moderately negative, but this relationship disappears once economic strain is accounted for in the model. However, family disruption does not mediate the relationship between the percentage of males aged 30-59 and IPH rates. These results indicate that some structural covariates impact IPH rates and that some relationships are mediated by economic strain and family disruption. These results also lend support to a modified approach to general strain theory (GST). More research is necessary to validate these results.