Third, SHUR includes respondents’ zip codes. This presents researchers with the rare opportunity to link the data to zip code-level health system characteristics including the availability of physicians, housing characteristics, foreclosure rates, food insecurity, incarceration rates, voting and other indicators of political participation, as well as population-level indicators of structural racism such as Black to White ratios in rates of unemployment, poverty, health insurance, and college graduation. These larger structural factors, including structural racism, shape health beyond individual behaviors and attributes [30, 31]. Therefore, examining their interaction with individual factors in multi-level analyses is critical. In addition, researchers using these data can explore how variation in characteristics of urban areas, including population density, might be associated with variation in a range of experiences and health outcomes.