Bicknell, UT
Bicknell wildfire risk explained
Bicknell sits at the 65th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 308 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Bicknell at the 59th percentile, close to its 65th-percentile risk score.
Where Bicknell's buildings actually sit
USFS puts 79.6% of Bicknell's 308 buildings in the Indirect exposure zone, versus 20.5% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Bicknell ranks
Inside Utah, Bicknell sits at just the 22nd percentile even though it scores 65th 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, Bicknell ranks 11,142 for wildfire risk (1 is highest) and 21,430 by building count (1 is largest). Within Utah alone, it ranks 255 of 326 places by risk. See the full county-by-county picture for Utah on its state page.
What this risk score means for insurance
At the 65th percentile nationally, Bicknell 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.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Bicknell (79.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Bicknell's figures come from
Bicknell's 65th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Bicknell's dominant indirect exposure actually means, with real examples from across the dataset.