Fairview, OH
Fairview, OH's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Fairview at the 44th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 88 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 Fairview at the 46th percentile, close to its 44th-percentile risk score.
Where Fairview's buildings actually sit
62.5% of Fairview's 88 buildings sit in USFS's Direct exposure zone, roughly 55 structures close enough to burnable vegetation for flame contact, not just embers — 37.5% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Fairview ranks
Compare Fairview's two percentiles: 96th within Ohio, only 44th nationally — a gap of 51 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Fairview ranks 17,660 for wildfire risk (1 is highest) and 29,587 by building count (1 is largest). Within Ohio alone, it ranks 58 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
Fairview's elevated wildfire rating (44th 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 62.5% of Fairview in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Fairview's figures come from
Every one of the two percentiles behind Fairview's 17,660-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Fairview's dominant direct exposure actually means, with real examples from across the dataset.