This study aimed to understand if there was a connection between tree species and income levels in ten different cities in the US, using data from the Urban Forest Inventory and Analysis (FIA) dataset and demographic information from the 2020 US Census Bureau American Community Survey at the census block group level. The Urban FIA dataset provides detailed information on urban trees, including diameter, height, condition, biomass, and species. The study used spatial analysis to investigate associations between tree species and the average household income of the surrounding neighborhood. The results showed that tree species occurrence varied with local income, with some species appearing more frequently in high-income areas, while others were more common in low-income areas. The ecosystem services and disservices provided by trees vary among species, implying associations between neighborhood income and both positive and negative human-plant interactions. These results provide a path towards understanding tree-related inequity in American cities and future research on this topic could help inform policy and tree management decisions that aim to reduce ecological inequity.