WildfireRiskFinder

Villard, MN

Villard, MN's wildfire risk, in USFS's own numbers

Elevated
50thpercentile nationally

Villard's 243 buildings earn a 50th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Villard's burn probability — fire likelihood with no building count factored in — sits at the 42nd percentile nationally.

Where Villard's buildings actually sit

243Total buildings
36.2%Direct exposure
63.8%Indirect exposure
0%Minimal exposure

243 buildings are counted in Villard, and 63.8% of them are Indirect exposure — ember-driven risk rather than the 36.2% in Direct exposure or the 0% rated Minimal.

Villard against the rest of the country

Villard's 74th-percentile standing inside Minnesota outpaces its 50th 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, Villard ranks 15,851 for wildfire risk (1 is highest) and 23,367 by building count (1 is largest). Within Minnesota alone, it ranks 239 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.

Shopping for coverage in Villard

Villard's elevated wildfire rating (50th 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.

What would actually reduce this score

Villard's 63.8% 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 Villard's figures come from

The methodology guide shows exactly how USFS turned 243 counted buildings into the percentiles shown above for Villard. The exposure-zones guide covers what Villard's dominant indirect exposure actually means, with real examples from across the dataset.