the objective of this paper was to model socio-economic determinants of traffic fatalities across all U.S States. This goal was accomplished by employing the Geographically Weighted Regression (GWR) and global ordinary least squares model (OLS). The results demonstrated that the GWR model outperformed OLS model in terms of accuracy. Furthermore, it was found that population with travel time to wok less than 20 minutes, population with no high school diploma, median income, population with age over 65 in labor force and high school graduates between 18-24 significantly contributed to traffic fatality rate