Deweyville, UT
Deweyville, UT's wildfire risk, in USFS's own numbers
USFS scores Deweyville at the 91st national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 311 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Deweyville at the 86th national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
Deweyville's building exposure, zone by zone
311 buildings are counted in Deweyville, and 61.4% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0.3% rated Minimal.
How Deweyville compares
Deweyville's 91st national percentile looks worse in isolation than its 57th ranking inside Utah does — this place is on the milder end for its own state, by 34 points. Among the 31,521 US communities USFS scores, Deweyville ranks 3,008 for wildfire risk (1 is highest) and 21,359 by building count (1 is largest). Within Utah alone, it ranks 140 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 91st percentile nationally, Deweyville carries the very 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
Deweyville's 61.4% 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 Deweyville's figures come from
Deweyville's 91st-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 Deweyville's dominant direct exposure actually means, with real examples from across the dataset.