Fairlawn, OH
How exposed is Fairlawn to wildfire?
USFS scores Fairlawn at the 28th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 2,867 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Fairlawn's burn probability — fire likelihood with no building count factored in — sits at the 28th percentile nationally.
Where Fairlawn's buildings actually sit
Most of Fairlawn's buildings (51.3%) 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.
Fairlawn against the rest of the country
Fairlawn's 61st-percentile standing inside Ohio outpaces its 28th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Fairlawn ranks 22,764 for wildfire risk (1 is highest) and 5,633 by building count (1 is largest). Within Ohio alone, it ranks 488 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
Fairlawn's moderate wildfire rating (28th 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.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Fairlawn (51.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Fairlawn's figures come from
The methodology guide shows exactly how USFS turned 2,867 counted buildings into the percentiles shown above for Fairlawn. The exposure-zones guide covers what Fairlawn's dominant indirect exposure actually means, with real examples from across the dataset.