Objectives . We investigated the association of pre-existing economic variables with COVID-19 infections and mortality in New York City. Methods . We combined ZIP code-level data from New York City's Department of Health with five-year American Community Survey data. We estimated ordinary least squares models of the prevalence of positive COVID-19 test results and deaths per 100,000 population. Results . We found ZIP codes with higher concentrations of residents living in crowded living quarters, employees in high-risk occupations, and employees commuting more than half an hour were positively and significantly associated with higher infection rates. Higher rates of crowded housing were also significantly and positively related to mortality rates, though the positive point estimates for the other two economic variables were not statistically significant. Conclusions . Economic factors such as working and living conditions beyond common measures such as poverty generate significant public health effects. Policymakers should consider these associations while designing and modifying public health policies.