WildfireRiskFinder

Muir, MI

How exposed is Muir to wildfire?

Low
17thpercentile nationally

USFS scores Muir at the 17th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 369 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Muir at the 17th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.

What "at risk" means for the buildings here

369Total buildings
22.5%Direct exposure
77.5%Indirect exposure
0%Minimal exposure

369 buildings are counted in Muir, and 77.5% of them are Indirect exposure — ember-driven risk rather than the 22.5% in Direct exposure or the 0% rated Minimal.

Where Muir ranks

Muir's 56th-percentile standing inside Michigan outpaces its 17th 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, Muir ranks 26,317 for wildfire risk (1 is highest) and 19,885 by building count (1 is largest). Within Michigan alone, it ranks 326 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.

Shopping for coverage in Muir

Muir's low rating (17th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Because 77.5% of Muir's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Muir's figures come from

Muir'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 Muir's dominant indirect exposure actually means, with real examples from across the dataset.