Mendon, UT
Mendon wildfire risk explained
Mendon's 607 buildings earn a 88th-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mendon at the 84th national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Direct exposure dominates in Mendon: 53.2% of its 607 buildings, versus 46.8% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Mendon against the rest of the country
Mendon ranks lower within Utah (49th percentile statewide) than its 88th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Mendon ranks 3,923 for wildfire risk (1 is highest) and 15,739 by building count (1 is largest). Within Utah alone, it ranks 165 of 326 places by risk. See the full county-by-county picture for Utah on its state page.
Mendon and the insurance market
Mendon's 88th-percentile, very 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.
Lowering exposure, not just insuring around it
With 53.2% of Mendon in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Mendon's figures come from
The methodology guide shows exactly how USFS turned 607 counted buildings into the percentiles shown above for Mendon. The exposure-zones guide covers what Mendon's dominant direct exposure actually means, with real examples from across the dataset.