Mapping population demographics and socioeconomic indicators to identify patterns of inequality and inform policy decisions.
Census data was analyzed at the block group level to identify spatial patterns in income, education, housing, and other socioeconomic indicators. Spatial autocorrelation analysis was used to identify clusters of similar characteristics.