WildfireRiskFinder

DeWitt, MI

DeWitt wildfire risk explained

Low
11thpercentile nationally

DeWitt sits at the 11th 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 1,930 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 DeWitt at the 11th percentile, close to its 11th-percentile risk score.

Where DeWitt's buildings actually sit

1,930Total buildings
22.3%Direct exposure
0%Indirect exposure
77.7%Minimal exposure

Most of DeWitt's buildings (77.7% of 1,930) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

Where DeWitt ranks

Within Michigan, DeWitt ranks higher (37th percentile) than it does nationally (11th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, DeWitt ranks 28,176 for wildfire risk (1 is highest) and 7,681 by building count (1 is largest). Within Michigan alone, it ranks 472 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 11th national percentile, DeWitt rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

With 77.7% of buildings rated Minimal exposure, DeWitt gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where DeWitt's figures come from

DeWitt's 11th-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 DeWitt's dominant minimal exposure actually means, with real examples from across the dataset.