In this analysis, I explore potential socioeconomic factors contributing to the increase in violent crime in the city of Chicago. There have been 2,693 shootings in 2018 alone and if a potential cause can be found the city can begin to mitigate the issue. Using ordinary least squares regression, Moran’s I tests, and geographically weighted regression models, I proved the influence low income and low employment have on eight types of violent crime. Some models proved to be more reliable than others. However, a spatial relationship was revealed nonetheless. I believe these variables can be addressed in the real world in order to reduce the amount of crime in Chicago.