Frankfort, OH
Frankfort, OH's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Frankfort at the 22nd national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 663 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Frankfort at the 24th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Indirect exposure is dominant in Frankfort (83.4% of 663 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 16.6% sit in the Direct zone.
How Frankfort compares
Within Ohio, Frankfort ranks higher (53rd percentile) than it does nationally (22nd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Frankfort ranks 24,621 for wildfire risk (1 is highest) and 15,031 by building count (1 is largest). Within Ohio alone, it ranks 594 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 22nd national percentile, Frankfort rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Because 83.4% of Frankfort's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Frankfort's figures come from
Every one of the two percentiles behind Frankfort's 24,621-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Frankfort's dominant indirect exposure actually means, with real examples from across the dataset.