WildfireRiskFinder

Sheridan, MI

Sheridan wildfire risk explained

Low
16thpercentile nationally

Sheridan's 441 buildings earn a 16th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Sheridan's burn probability — fire likelihood with no building count factored in — sits at the 15th percentile nationally.

Where Sheridan's buildings actually sit

441Total buildings
31.5%Direct exposure
0.9%Indirect exposure
67.6%Minimal exposure

Sheridan rates 67.6% Minimal exposure against just 31.5% Direct and 0.9% Indirect — of 441 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

How Sheridan compares

Within Michigan, Sheridan ranks higher (54th percentile) than it does nationally (16th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Sheridan ranks 26,635 for wildfire risk (1 is highest) and 18,435 by building count (1 is largest). Within Michigan alone, it ranks 348 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

Sheridan's low wildfire rating (16th 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 Sheridan

Even with 67.6% of Sheridan outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.

Where Sheridan's figures come from

The methodology guide shows exactly how USFS turned 441 counted buildings into the percentiles shown above for Sheridan. The exposure-zones guide covers what Sheridan's dominant minimal exposure actually means, with real examples from across the dataset.