WildfireRiskFinder

Easton, MN

How exposed is Easton to wildfire?

Low
2ndpercentile nationally

Easton's 207 buildings earn a 2nd-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Easton at the 2nd national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.

Where Easton's buildings actually sit

207Total buildings
13%Direct exposure
0%Indirect exposure
87%Minimal exposure

USFS classifies 87% of Easton's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 13% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

How Easton compares

Easton scores 2nd nationally and 3rd within Minnesota — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Easton ranks 30,766 for wildfire risk (1 is highest) and 24,601 by building count (1 is largest). Within Minnesota alone, it ranks 886 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.

Shopping for coverage in Easton

Easton's low wildfire rating (2nd 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

Even with 87% of Easton outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.

Where Easton's figures come from

The methodology guide shows exactly how USFS turned 207 counted buildings into the percentiles shown above for Easton. The exposure-zones guide covers what Easton's dominant minimal exposure actually means, with real examples from across the dataset.