Almont, MI
Almont, MI's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Almont at the 8th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 1,287 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 Almont at the 9th percentile, close to its 8th-percentile risk score.
Where Almont's buildings actually sit
USFS classifies 46.8% of Almont's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 30.9% Direct and 22.3% Indirect — a landscape-level risk rather than a building-by-building one.
Almont against the rest of the country
Compare Almont's two percentiles: 23rd within Michigan, only 8th nationally — a gap of 16 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Almont ranks 29,059 for wildfire risk (1 is highest) and 10,146 by building count (1 is largest). Within Michigan alone, it ranks 570 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
What this risk score means for insurance
At the 8th national percentile, Almont rates low 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
Even with 46.8% of Almont 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 Almont's figures come from
Every one of the two percentiles behind Almont's 29,059-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Almont's dominant minimal exposure actually means, with real examples from across the dataset.