Fruit Heights, UT
How exposed is Fruit Heights to wildfire?
Fruit Heights's 1,978 buildings earn a 95th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Fruit Heights at the 90th percentile, close to its 95th-percentile risk score.
What "at risk" means for the buildings here
Most of Fruit Heights's buildings (76.7%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Fruit Heights compares
Fruit Heights's 95th national percentile looks worse in isolation than its 78th ranking inside Utah does — this place is on the milder end for its own state, by 16 points. Among the 31,521 US communities USFS scores, Fruit Heights ranks 1,747 for wildfire risk (1 is highest) and 7,540 by building count (1 is largest). Within Utah alone, it ranks 72 of 326 places by risk. See the full county-by-county picture for Utah on its state page.
Fruit Heights and the insurance market
Fruit Heights's very high rating (95th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in Fruit Heights
Fruit Heights's 76.7% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Fruit Heights's figures come from
Fruit Heights's 95th-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 Fruit Heights's dominant indirect exposure actually means, with real examples from across the dataset.