Clayton, WI
Clayton, WI's wildfire risk, in USFS's own numbers
Clayton's 328 buildings earn a 28th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Clayton at the 28th percentile, close to its 28th-percentile risk score.
Clayton's building exposure, zone by zone
Most of Clayton's buildings (54%) 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.
Where Clayton ranks
Clayton's 59th-percentile standing inside Wisconsin outpaces its 28th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Clayton ranks 22,674 for wildfire risk (1 is highest) and 20,884 by building count (1 is largest). Within Wisconsin alone, it ranks 332 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Clayton and the insurance market
Clayton's moderate wildfire rating (28th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Clayton
Clayton's 54% 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 Clayton's figures come from
The methodology guide shows exactly how USFS turned 328 counted buildings into the percentiles shown above for Clayton. The exposure-zones guide covers what Clayton's dominant indirect exposure actually means, with real examples from across the dataset.