Cutlerville, MI
Cutlerville, MI's wildfire risk, in USFS's own numbers
Cutlerville's 5,542 buildings earn a 9th-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, Cutlerville's burn probability — fire likelihood with no building count factored in — sits at the 11th percentile nationally.
Where Cutlerville's buildings actually sit
Most of Cutlerville's buildings (96.8% of 5,542) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure. At 5,542 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Where Cutlerville ranks
Within Michigan, Cutlerville ranks higher (29th percentile) than it does nationally (9th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Cutlerville ranks 28,650 for wildfire risk (1 is highest) and 3,110 by building count (1 is largest). Within Michigan alone, it ranks 528 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Cutlerville and the insurance market
Cutlerville's low rating (9th 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 Cutlerville
Cutlerville's 96.8% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Cutlerville's figures come from
Every one of the two percentiles behind Cutlerville's 28,650-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Cutlerville's dominant minimal exposure actually means, with real examples from across the dataset.