Numerous environment peak analyses was indeed performed. Very first, i investigated how racial/cultural make-up various section may vary across the historical HOLC studies, and you can 2nd just how SDOH domain names disagree in accounts round the section having other majority race/ethnicity populations. Two-sided t-tests have been did to evaluate suggest differences. Second, i used a couple of analyses to assess the partnership ranging from a keen areas’ historic HOLC score and give-big date domestic eviction and restaurants insecurity steps. This type of analyses adjust having census area people, urban/rural designation, and you will condition-top fixed outcomes. The fresh new improvement to own county-top repaired outcomes means our fundamental effects are identified centered towards within this-condition version (across the census tracts) inside HOLC rating visibility and resulting eviction otherwise food insecurity consequences. As such, our very own approach adjusts for potential confounding which can stem from variations inside the regulations/attempts addressing eviction and you can food low self-esteem risk around the more counties/claims in the us.
Abilities
For our home eviction attempt, i’ve twelve,334 census tracts which have historical contact with architectural racism regarding version of redlining, and our food low self-esteem sample we have 8996 census tracts with historical redlining visibility. Profile 1 brings a graphic overview of the brand new 213 counties across the 37 states inside our HOLC redlining and you will eviction research sample, and you can HOLC redlining and you can restaurants low self-esteem studies take to.
