Mount Eaton, OH
How exposed is Mount Eaton to wildfire?
USFS's Wildfire Risk to Communities model puts Mount Eaton at the 32nd national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 172 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Mount Eaton at the 34th percentile, close to its 32nd-percentile risk score.
Mount Eaton's building exposure, zone by zone
Most of Mount Eaton's buildings (69.8%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Mount Eaton compares
Within Ohio, Mount Eaton ranks higher (70th percentile) than it does nationally (32nd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Mount Eaton ranks 21,470 for wildfire risk (1 is highest) and 25,956 by building count (1 is largest). Within Ohio alone, it ranks 381 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
What this risk score means for insurance
At the 32nd national percentile, Mount Eaton rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Mount Eaton
Mount Eaton's 69.8% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Mount Eaton's figures come from
The methodology guide shows exactly how USFS turned 172 counted buildings into the percentiles shown above for Mount Eaton. The exposure-zones guide covers what Mount Eaton's dominant indirect exposure actually means, with real examples from across the dataset.