Imlay City, MI
Imlay City wildfire risk explained
Imlay City sits at the 8th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 1,448 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Imlay City at the 9th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Imlay City's building exposure, zone by zone
74.3% of Imlay City's 1,448 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 18.6% Direct and 7.1% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Imlay City ranks
Compare Imlay City's two percentiles: 25th within Michigan, only 8th nationally — a gap of 17 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Imlay City ranks 28,936 for wildfire risk (1 is highest) and 9,399 by building count (1 is largest). Within Michigan alone, it ranks 558 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Imlay City and the insurance market
At the 8th national percentile, Imlay City 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
With ember exposure the dominant pattern in Imlay City (74.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Imlay City's figures come from
Imlay City's 8th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Imlay City's dominant indirect exposure actually means, with real examples from across the dataset.