Catlettsburg, KY
How exposed is Catlettsburg to wildfire?
Catlettsburg's 983 buildings earn a 54th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Catlettsburg at the 56th percentile, close to its 54th-percentile risk score.
Where Catlettsburg's buildings actually sit
Most of Catlettsburg's buildings (74.8%) 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 Catlettsburg ranks
Within Kentucky, Catlettsburg ranks higher (80th percentile) than it does nationally (54th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Catlettsburg ranks 14,528 for wildfire risk (1 is highest) and 12,053 by building count (1 is largest). Within Kentucky alone, it ranks 112 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
What this risk score means for insurance
At the 54th national percentile, Catlettsburg rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Catlettsburg's 74.8% 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 Catlettsburg's figures come from
Catlettsburg's 54th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Catlettsburg's dominant indirect exposure actually means, with real examples from across the dataset.