Table 1.
Descriptive statistics for variables of interest from the Food Environment Atlas per U.S. counties.
Table 2.
Descriptive statistics for variables of interest from the Spatial Hazards Events and Loss Database per U.S. counties.
Fig 1.
Four-panel map of U.S. counties showing (a) high property damage extreme weather events, (b) the proportion of low-income low access households with no vehicle, and (c) convenience and (d) grocery store densities.
Data for extreme events comes from SHELDUS, and food access and grocery and convenience store location data comes from the FEA. For the cumulative extreme events and access maps, lighter colors represent lower access and lower numbers of extreme events. Maps representing availability measures use a reversed color scheme where lighter colors are associated with larger numbers of grocery and convenience stores.
Table 3.
Estimation results for three specification of Eq 1.
Table 4.
Estimation results for a quantile regression on the relationship between events and access and availability.
Table 5.
Estimation results for the relationship between localized and broad event types and access and availability.