Brimley, MI
Brimley, MI's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Brimley lands at the 70th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 566 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Brimley at the 73rd percentile, close to its 70th-percentile risk score.
Brimley's building exposure, zone by zone
Of Brimley's 566 counted buildings, 60.4% carry Direct exposure and only 6.2% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Brimley against the rest of the country
Within Michigan, Brimley ranks higher (99th percentile) than it does nationally (70th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Brimley ranks 9,360 for wildfire risk (1 is highest) and 16,309 by building count (1 is largest). Within Michigan alone, it ranks 9 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Shopping for coverage in Brimley
At the 70th percentile nationally, Brimley carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
With 60.4% of Brimley in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Brimley's figures come from
The methodology guide shows exactly how USFS turned 566 counted buildings into the percentiles shown above for Brimley. The exposure-zones guide covers what Brimley's dominant direct exposure actually means, with real examples from across the dataset.