Tustin, MI
How exposed is Tustin to wildfire?
USFS scores Tustin at the 31st national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 152 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Tustin at the 31st national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Tustin's buildings actually sit
Indirect exposure is dominant in Tustin (64.5% of 152 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 35.5% sit in the Direct zone.
Tustin against the rest of the country
Tustin's 84th-percentile standing inside Michigan outpaces its 31st 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, Tustin ranks 21,684 for wildfire risk (1 is highest) and 26,808 by building count (1 is largest). Within Michigan alone, it ranks 123 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Shopping for coverage in Tustin
Tustin's moderate rating (31st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Tustin's 64.5% 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 Tustin's figures come from
Every one of the two percentiles behind Tustin's 21,684-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Tustin's dominant indirect exposure actually means, with real examples from across the dataset.