This study aims to uncover combinations of socio-economic characteristics associated with high income in New York. The data are drawn from the American Community Survey (ACS) Public Use Microdata Sample and cover a five-year period from 2019 to 2023. The variables included in the dataset allow for the analysis of relationships among individuals’ socio-economic characteristics. The analysis will be conducted using the Apriori algorithm, a method of association rule mining. Applying the Apriori algorithm will enable the identification of combinations of characteristics that are commonly associated with high income in New York.