Hunters Hollow, KY
Hunters Hollow, KY's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Hunters Hollow at the 14th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 156 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 Hunters Hollow at the 16th percentile, close to its 14th-percentile risk score.
What "at risk" means for the buildings here
USFS puts 91.7% of Hunters Hollow's 156 buildings in the Indirect exposure zone, versus 8.3% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Hunters Hollow against the rest of the country
Hunters Hollow's risk sits at a similar level relative to Kentucky (23rd percentile statewide) as it does nationally (14th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Hunters Hollow ranks 27,102 for wildfire risk (1 is highest) and 26,619 by building count (1 is largest). Within Kentucky alone, it ranks 428 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
Shopping for coverage in Hunters Hollow
At the 14th national percentile, Hunters Hollow rates low 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
Because 91.7% of Hunters Hollow'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 Hunters Hollow's figures come from
The methodology guide shows exactly how USFS turned 156 counted buildings into the percentiles shown above for Hunters Hollow. The exposure-zones guide covers what Hunters Hollow's dominant indirect exposure actually means, with real examples from across the dataset.