Abstract
This study examines one gentrifying neighborhood, Ohio City, in Cleveland, Ohio. It utilizes block group-level data and discriminant analysis to identify key variables associated with the gentrification process. Two discriminant functions resulted from the analysis. One function is highly associated with the percentage of college-educated residents and the other associated with a high proportion of white population, aged 25 to 40, with high median incomes. The discriminant power accounted for by the two discriminant functions is 89%. The results of this study argue for increased use of block group data to examine gentrification, since these data allow more accurate analysis of gentrification borders, neighborhood change, and gentrification modeling.
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