Levering, MI
Levering, MI's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Levering at the 17th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 179 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Levering at the 17th percentile, close to its 17th-percentile risk score.
What "at risk" means for the buildings here
Of Levering's 179 counted buildings, 51.4% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Levering compares
Within Michigan, Levering ranks higher (57th percentile) than it does nationally (17th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Levering ranks 26,220 for wildfire risk (1 is highest) and 25,676 by building count (1 is largest). Within Michigan alone, it ranks 317 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Shopping for coverage in Levering
At the 17th national percentile, Levering rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With 51.4% of Levering 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 Levering's figures come from
Every one of the two percentiles behind Levering's 26,220-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Levering's dominant direct exposure actually means, with real examples from across the dataset.