WildfireRiskFinder

Dayton, MN

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

Elevated
45thpercentile nationally

USFS scores Dayton at the 45th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 3,732 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Dayton at the 44th percentile, close to its 45th-percentile risk score.

Dayton's building exposure, zone by zone

3,732Total buildings
52%Direct exposure
19.2%Indirect exposure
28.8%Minimal exposure

3,732 buildings are counted in Dayton, and 52% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 28.8% rated Minimal.

How Dayton compares

Within Minnesota, Dayton ranks higher (65th percentile) than it does nationally (45th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Dayton ranks 17,306 for wildfire risk (1 is highest) and 4,488 by building count (1 is largest). Within Minnesota alone, it ranks 319 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.

Shopping for coverage in Dayton

At the 45th national percentile, Dayton rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

Because Direct exposure dominates in Dayton (52%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Dayton's figures come from

The methodology guide shows exactly how USFS turned 3,732 counted buildings into the percentiles shown above for Dayton. The exposure-zones guide covers what Dayton's dominant direct exposure actually means, with real examples from across the dataset.