Despite the growing body of research dealing with sex offenders and the collateral consequencesÂ of legislation governing their post release movements, a complete understanding of theÂ residential choices of registered sex offenders remains elusive. The purpose of this paper is toÂ introduc… e a predictive analytical framework for determining which demographic andÂ socioeconomic factors best forecast the residential choices of convicted sex offenders. Specifically, using a derived index of social disorganization (ISDOR) and a commercialÂ geographic information system (GIS), we implement both linear statistical and non-linear dataÂ mining approaches to predict the presence of sex offenders in a community. Â The results of thisÂ analysis are encouraging, with nearly 75% of registered offender locations predicted correctly. The implications of these approaches for public policy are discussed.