Thornville, OH
Thornville, OH's wildfire risk, in USFS's own numbers
USFS scores Thornville at the 13th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 525 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Thornville at the 14th percentile, close to its 13th-percentile risk score.
What "at risk" means for the buildings here
Most of Thornville's buildings (73.9%) 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.
Where Thornville ranks
Compare Thornville's two percentiles: 39th within Ohio, only 13th nationally — a gap of 26 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Thornville ranks 27,431 for wildfire risk (1 is highest) and 16,947 by building count (1 is largest). Within Ohio alone, it ranks 775 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
Thornville's low rating (13th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Thornville's 73.9% 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 Thornville's figures come from
The methodology guide shows exactly how USFS turned 525 counted buildings into the percentiles shown above for Thornville. The exposure-zones guide covers what Thornville's dominant indirect exposure actually means, with real examples from across the dataset.