This paper analyzes the effects of the concentration of crime on housing prices using nonparametric methods. Specifically, we use a modified local K-function in order to measure crime concentration. This technique provides us with a crime measure that is not dependent on pre-defined boundaries. Results from this analysis suggest a decrease in housing prices of two percent to seven percent for crimes in the past six months that occur within a quarter of a mile of the house.