Cokeville, WY
How exposed is Cokeville to wildfire?
Out of every US place USFS scores, Cokeville lands at the 77th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 387 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Cokeville at the 77th percentile, close to its 77th-percentile risk score.
What "at risk" means for the buildings here
Indirect exposure is dominant in Cokeville (74.7% of 387 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 25.3% sit in the Direct zone.
How Cokeville compares
Cokeville's 77th national percentile looks worse in isolation than its 44th ranking inside Wyoming does — this place is on the milder end for its own state, by 34 points. Among the 31,521 US communities USFS scores, Cokeville ranks 7,171 for wildfire risk (1 is highest) and 19,481 by building count (1 is largest). Within Wyoming alone, it ranks 109 of 192 places by risk. See the full county-by-county picture for Wyoming on its state page.
Shopping for coverage in Cokeville
Cokeville's 77th-percentile, 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.
Hardening a home in Cokeville
With ember exposure the dominant pattern in Cokeville (74.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Cokeville's figures come from
The methodology guide shows exactly how USFS turned 387 counted buildings into the percentiles shown above for Cokeville. The exposure-zones guide covers what Cokeville's dominant indirect exposure actually means, with real examples from across the dataset.