Uniontown, KY
Uniontown wildfire risk explained
Uniontown's 658 buildings earn a 23rd-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Uniontown at the 23rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Uniontown's buildings actually sit
Most of Uniontown's buildings (62.5%) 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.
Uniontown against the rest of the country
Compare Uniontown's two percentiles: 41st within Kentucky, only 23rd nationally — a gap of 19 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Uniontown ranks 24,359 for wildfire risk (1 is highest) and 15,086 by building count (1 is largest). Within Kentucky alone, it ranks 325 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
Shopping for coverage in Uniontown
Uniontown's moderate wildfire rating (23rd 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
Uniontown's 62.5% 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 Uniontown's figures come from
The methodology guide shows exactly how USFS turned 658 counted buildings into the percentiles shown above for Uniontown. The exposure-zones guide covers what Uniontown's dominant indirect exposure actually means, with real examples from across the dataset.