Urban water quality is crucial for environmental and public health, yet lower-income communities often face higher pollution burdens. Emerging contaminants, liked per- and polyfluoroalkyl substances (PFAS), may further exacerbate these disparities. This research investigates the correlation between socioeconomic gradients and stream water quality in Knoxville, Tennessee, focusing on a suite of emerging contaminants, including PFAS, herbicides, and pesticides. Socioeconomic data from census tracts were integrated with watershed boundaries to classify urban stream watersheds. A nested study design that included four main, and twelve sub-watersheds spanning low, medium, and high socioeconomic status levels was used to select sites for water quality monitoring. To capture time-integrated contaminant levels, POCIS (polar organic chemical integrative samplers) passive samplers were deployed to assess the presence and concentration of target contaminants at monthly intervals. The data collected will provide critical insight into how water quality disparities align with socioeconomic gradients and will help identify sources of, and causal mechanisms for pollution by PFAS, pesticides, and herbicides.