WildfireRiskFinder

Sandusky, MI

How exposed is Sandusky to wildfire?

Low
4thpercentile nationally

Out of every US place USFS scores, Sandusky lands at the 4th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 1,290 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Sandusky's burn probability — fire likelihood with no building count factored in — sits at the 4th percentile nationally.

What "at risk" means for the buildings here

1,290Total buildings
19.3%Direct exposure
0.2%Indirect exposure
80.5%Minimal exposure

80.5% of Sandusky's 1,290 buildings sit in USFS's Minimal exposure zone, with only 19.3% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

Where Sandusky ranks

Sandusky scores 4th nationally and 8th within Michigan — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Sandusky ranks 30,325 for wildfire risk (1 is highest) and 10,120 by building count (1 is largest). Within Michigan alone, it ranks 688 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.

Sandusky and the insurance market

At the 4th national percentile, Sandusky 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

Sandusky's 80.5% 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 Sandusky's figures come from

Sandusky's 4th-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 Sandusky's dominant minimal exposure actually means, with real examples from across the dataset.