Blountstown, FL
Blountstown wildfire risk explained
USFS scores Blountstown at the 73rd national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 1,347 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Blountstown at the 76th percentile, close to its 73rd-percentile risk score.
What "at risk" means for the buildings here
Of Blountstown's 1,347 counted buildings, 72.2% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Blountstown ranks
Inside Florida, Blountstown sits at just the 33rd percentile even though it scores 73rd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Blountstown ranks 8,440 for wildfire risk (1 is highest) and 9,845 by building count (1 is largest). Within Florida alone, it ranks 642 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Shopping for coverage in Blountstown
At the 73rd percentile nationally, Blountstown carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
Blountstown's 72.2% 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 Blountstown's figures come from
The methodology guide shows exactly how USFS turned 1,347 counted buildings into the percentiles shown above for Blountstown. The exposure-zones guide covers what Blountstown's dominant direct exposure actually means, with real examples from across the dataset.