Eau Claire, MI
Eau Claire wildfire risk explained
USFS's Wildfire Risk to Communities model puts Eau Claire at the 9th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 349 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Eau Claire at the 9th percentile, close to its 9th-percentile risk score.
Where Eau Claire's buildings actually sit
Most of Eau Claire's buildings (79.4%) 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 Eau Claire compares
Within Michigan, Eau Claire ranks higher (30th percentile) than it does nationally (9th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Eau Claire ranks 28,592 for wildfire risk (1 is highest) and 20,337 by building count (1 is largest). Within Michigan alone, it ranks 521 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Shopping for coverage in Eau Claire
Eau Claire's low wildfire rating (9th 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.
Lowering exposure, not just insuring around it
Eau Claire's 79.4% 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 Eau Claire's figures come from
The methodology guide shows exactly how USFS turned 349 counted buildings into the percentiles shown above for Eau Claire. The exposure-zones guide covers what Eau Claire's dominant indirect exposure actually means, with real examples from across the dataset.