Mahnomen (Mahnomen), MN
Mahnomen (Mahnomen), MN's wildfire risk, in USFS's own numbers
Mahnomen (Mahnomen)'s 829 buildings earn a 55th-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, Mahnomen (Mahnomen)'s burn probability — fire likelihood with no building count factored in — sits at the 54th percentile nationally.
What "at risk" means for the buildings here
89.8% of Mahnomen (Mahnomen)'s 829 buildings sit in USFS's Minimal exposure zone, with only 10.3% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Mahnomen (Mahnomen) compares
Compare Mahnomen (Mahnomen)'s two percentiles: 80th within Minnesota, only 55th nationally — a gap of 25 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Mahnomen (Mahnomen) ranks 14,331 for wildfire risk (1 is highest) and 13,356 by building count (1 is largest). Within Minnesota alone, it ranks 184 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.
Shopping for coverage in Mahnomen (Mahnomen)
Mahnomen (Mahnomen)'s elevated wildfire rating (55th 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
With 89.8% of buildings rated Minimal exposure, Mahnomen (Mahnomen) gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Mahnomen (Mahnomen)'s figures come from
The methodology guide shows exactly how USFS turned 829 counted buildings into the percentiles shown above for Mahnomen (Mahnomen). The exposure-zones guide covers what Mahnomen (Mahnomen)'s dominant minimal exposure actually means, with real examples from across the dataset.