Millers Lake, MI
Millers Lake wildfire risk explained
Millers Lake sits at the 17th 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 250 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Millers Lake at the 18th percentile, close to its 17th-percentile risk score.
Where Millers Lake's buildings actually sit
USFS classifies 90% of Millers Lake's buildings as Direct exposure, higher than its 8% Indirect share and far above its 2% Minimal share — a profile where 225 structures sit close enough to vegetation that lot clearing matters most.
How Millers Lake compares
Compare Millers Lake's two percentiles: 57th within Michigan, only 17th nationally — a gap of 40 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Millers Lake ranks 26,316 for wildfire risk (1 is highest) and 23,144 by building count (1 is largest). Within Michigan alone, it ranks 325 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Millers Lake and the insurance market
Millers Lake's low wildfire rating (17th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Millers Lake
Because Direct exposure dominates in Millers Lake (90%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Millers Lake's figures come from
Millers Lake's 17th-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 Millers Lake's dominant direct exposure actually means, with real examples from across the dataset.