Bristol, FL
Bristol wildfire risk explained
Bristol's 625 buildings earn a 76th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Bristol's burn probability — fire likelihood with no building count factored in — sits at the 77th percentile nationally.
Where Bristol's buildings actually sit
USFS classifies 79.5% of Bristol's buildings as Direct exposure, higher than its 20.5% Indirect share and far above its 0% Minimal share — a profile where 497 structures sit close enough to vegetation that lot clearing matters most.
Bristol against the rest of the country
Bristol's 76th national percentile looks worse in isolation than its 40th ranking inside Florida does — this place is on the milder end for its own state, by 37 points. Among the 31,521 US communities USFS scores, Bristol ranks 7,465 for wildfire risk (1 is highest) and 15,500 by building count (1 is largest). Within Florida alone, it ranks 574 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
What this risk score means for insurance
Bristol's 76th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
Bristol's 79.5% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Bristol's figures come from
Every one of the two percentiles behind Bristol's 7,465-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Bristol's dominant direct exposure actually means, with real examples from across the dataset.