Residential location choices involve making trade-offs between housing status and dwelling quality because no single residential area can provide all of its housing needs. In this work, we used multinomial logistic regression to predict the effects of gentrification and urban renewal on residential choices. A mixed-method research design was employed in the study. The Multinomial logistic regression’s likelihood ratio test showed that the relationship between the component gentrification and residential choices was significant (p = 0.022) at the p1), implying that the probability of selecting a home from a low-income neighborhood increased by 182% as compared to choosing from a high-income neighborhood. Residents are more likely to consider urban renewal when selecting residents from low-income areas than high-income areas. As in the case of the middle-income neighborhood, the odds ratio for gentrification was found to be 2.419 (>1). This meant that the probability of selecting a residence in a middle-income neighborhood decreased by 142% relative to selecting a home in a highincome neighborhood. Residents are more likely to consider urban renewal when selecting a residence from a middleincome area than from a high-income one. These findings will help with policy formulation in housing provision by the national government, the county government and property developers.