WildfireRiskFinder

Galien, MI

Galien wildfire risk explained

Low
5thpercentile nationally

Galien sits at the 5th 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 349 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 Galien at the 5th percentile, close to its 5th-percentile risk score.

Where Galien's buildings actually sit

349Total buildings
14.3%Direct exposure
0%Indirect exposure
85.7%Minimal exposure

Galien rates 85.7% Minimal exposure against just 14.3% Direct and 0% Indirect — of 349 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Galien against the rest of the country

Galien's risk sits at a similar level relative to Michigan (14th percentile statewide) as it does nationally (5th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Galien ranks 29,816 for wildfire risk (1 is highest) and 20,338 by building count (1 is largest). Within Michigan alone, it ranks 645 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.

What this risk score means for insurance

At the 5th national percentile, Galien rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

Galien's 85.7% 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 Galien's figures come from

Galien's 5th-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 Galien's dominant minimal exposure actually means, with real examples from across the dataset.