Our goals were to (1) to create a model for mapping gentrification based on previous research approaches to assessing the phenomenon and (2) to analyze the correlation of different amenity classes with values on the resulting gentrification map. Our approach began with a multi-criteria analysis to create a gentrification index layer, using housing market and demographic variables from 2011 and 2019. We then aggregated notable amenities to include as explanatory variables in a geographically weighted regression (GWR) analysis, including hospital community facilities, grocery and dining locations, universities and colleges, as well as green spaces. Our results indicated that in the Greater Atlanta Region, our amenity aggregates and green space variables were not strong indicators of a census tract’s gentrification status.