WildfireRiskFinder

Marenisco, MI

How exposed is Marenisco to wildfire?

Low
19thpercentile nationally

USFS's Wildfire Risk to Communities model puts Marenisco at the 19th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 254 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Marenisco's burn probability — fire likelihood with no building count factored in — sits at the 19th percentile nationally.

Marenisco's building exposure, zone by zone

254Total buildings
53.2%Direct exposure
46.9%Indirect exposure
0%Minimal exposure

254 buildings are counted in Marenisco, and 53.2% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.

How Marenisco compares

Within Michigan, Marenisco ranks higher (63rd percentile) than it does nationally (19th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Marenisco ranks 25,624 for wildfire risk (1 is highest) and 23,015 by building count (1 is largest). Within Michigan alone, it ranks 278 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.

Shopping for coverage in Marenisco

At the 19th national percentile, Marenisco 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

Because Direct exposure dominates in Marenisco (53.2%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Marenisco's figures come from

The methodology guide shows exactly how USFS turned 254 counted buildings into the percentiles shown above for Marenisco. The exposure-zones guide covers what Marenisco's dominant direct exposure actually means, with real examples from across the dataset.