Jenison, MI
How exposed is Jenison to wildfire?
USFS's Wildfire Risk to Communities model puts Jenison at the 13th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 6,158 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Jenison's burn probability — fire likelihood with no building count factored in — sits at the 15th percentile nationally.
Where Jenison's buildings actually sit
Only 2.2% of Jenison's 6,158 buildings carry Direct exposure and 16% carry Indirect; the remaining 81.7% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure. At 6,158 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Jenison compares
Compare Jenison's two percentiles: 47th within Michigan, only 13th nationally — a gap of 33 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Jenison ranks 27,295 for wildfire risk (1 is highest) and 2,814 by building count (1 is largest). Within Michigan alone, it ranks 399 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Shopping for coverage in Jenison
Jenison's low rating (13th 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
Jenison's 81.7% 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 Jenison's figures come from
Every one of the two percentiles behind Jenison's 27,295-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Jenison's dominant minimal exposure actually means, with real examples from across the dataset.