Table 1.
Data sources, time periods, and spatial scales of environmental measures.
| Spatial variable | Data source | Time period | Spatial scale | Temporal scale |
| Particulate matter 2.5 | Atmospheric composition analysis group, WUSTLa [37] | 2006-2018 | 0.01 degree in lon and lat | 1 year |
| Nitrogen dioxide (air pollution) | The center for air, climate, and energy solutions [38] | 2006-2015 | Census block group | 1 year |
| Percent students eligible for reduced-price lunch, 2015 (food environment) | Food environment atlas [39] | 2007-2018 | County | Cross-sectional |
| Percent addresses in the previous quarter with no-stat currently in service (vacant land)b | Aggregated USPSc administrative data on address vacancies, HUDd [40] | 2006-2019 | Census tract | 3 months |
aWUSTL: Washington University in St Louis.
bTotal no-stat addresses are the addresses that can be classified as “No-Stat” for many reasons, including, (1) rural route addresses that are vacant for 90 days or longer and (2) addresses for businesses or homes under construction and not yet occupied addresses.
cUSPS: United States Postal Service.
dHUD: US Department of Housing and Urban Development.