Wyandotte, MI
Wyandotte wildfire risk explained
Wyandotte's 15,238 buildings earn a 11th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Wyandotte's burn probability — fire likelihood with no building count factored in — sits at the 12th percentile nationally.
Wyandotte's building exposure, zone by zone
Wyandotte rates 99.9% Minimal exposure against just 0.1% Direct and 0% Indirect — of 15,238 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually. At 15,238 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Where Wyandotte ranks
Within Michigan, Wyandotte ranks higher (37th percentile) than it does nationally (11th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Wyandotte ranks 28,178 for wildfire risk (1 is highest) and 971 by building count (1 is largest). Within Michigan alone, it ranks 474 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
Wyandotte's low rating (11th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Wyandotte
Even with 99.9% of Wyandotte 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 Wyandotte's figures come from
Every one of the two percentiles behind Wyandotte's 28,178-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wyandotte's dominant minimal exposure actually means, with real examples from across the dataset.