Otsego, MI
How exposed is Otsego to wildfire?
USFS scores Otsego at the 14th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 1,744 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Otsego at the 15th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Otsego's buildings actually sit
Most of Otsego's buildings (92.9%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Otsego compares
Compare Otsego's two percentiles: 49th within Michigan, only 14th nationally — a gap of 35 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Otsego ranks 27,046 for wildfire risk (1 is highest) and 8,249 by building count (1 is largest). Within Michigan alone, it ranks 380 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Shopping for coverage in Otsego
At the 14th national percentile, Otsego rates low 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
Otsego's 92.9% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Otsego's figures come from
Every one of the two percentiles behind Otsego's 27,046-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Otsego's dominant indirect exposure actually means, with real examples from across the dataset.