Prescott, MI
Prescott wildfire risk explained
Out of every US place USFS scores, Prescott lands at the 40th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 202 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Prescott at the 41st national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Prescott's buildings actually sit
Indirect exposure is dominant in Prescott (69.3% of 202 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 30.7% sit in the Direct zone.
Prescott against the rest of the country
Prescott's 91st-percentile standing inside Michigan outpaces its 40th 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, Prescott ranks 18,938 for wildfire risk (1 is highest) and 24,765 by building count (1 is largest). Within Michigan alone, it ranks 71 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Shopping for coverage in Prescott
At the 40th national percentile, Prescott rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With ember exposure the dominant pattern in Prescott (69.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Prescott's figures come from
Every one of the two percentiles behind Prescott's 18,938-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Prescott's dominant indirect exposure actually means, with real examples from across the dataset.