Dayton, OH
Dayton, OH's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Dayton at the 15th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 71,801 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Dayton's burn probability — fire likelihood with no building count factored in — sits at the 17th percentile nationally.
Where Dayton's buildings actually sit
Most of Dayton's buildings (96% of 71,801) 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. At 71,801 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Dayton compares
Within Ohio, Dayton ranks higher (42nd percentile) than it does nationally (15th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Dayton ranks 26,899 for wildfire risk (1 is highest) and 109 by building count (1 is largest). Within Ohio alone, it ranks 728 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
Dayton's low wildfire rating (15th 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 Dayton
Dayton's 96% 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 Dayton's figures come from
Every one of the two percentiles behind Dayton's 26,899-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dayton's dominant minimal exposure actually means, with real examples from across the dataset.