This study investigates the concept of “filtering” as a process with the potential to lessen housing unaffordability in the United States. Through statistical analysis, the study compares the relationship between housing production and rent prices, while considering historical information and contemporary academic analysis. Using Python and Excel, data at the census tract level across the United States was analyzed, illuminating housing availability and affordability disparities while controlling for socioeconomic factors. Findings suggested that increases in the housing supply are associated with increases in the percent of rent charged on average across a neighborhood, which is antithetical to filtering theory. This paper does, however, find instances where the relationship is reversed. This suggests that for filtering theory to be effective, during the observed time range of approximately 15 years, on the neighborhood level, the percent change in supply must exceed a certain threshold.