Cement City, MI
Cement City, MI's wildfire risk, in USFS's own numbers
USFS scores Cement City at the 16th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 301 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Cement City at the 18th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Cement City's buildings actually sit
Most of Cement City's buildings (58.8% of 301) 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.
Cement City against the rest of the country
Cement City's 56th-percentile standing inside Michigan outpaces its 16th 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, Cement City ranks 26,404 for wildfire risk (1 is highest) and 21,600 by building count (1 is largest). Within Michigan alone, it ranks 329 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Cement City and the insurance market
At the 16th national percentile, Cement 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.
Hardening a home in Cement City
Cement City's 58.8% 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 Cement City's figures come from
Every one of the two percentiles behind Cement City's 26,404-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Cement City's dominant minimal exposure actually means, with real examples from across the dataset.