Park Hills, KY
Park Hills wildfire risk explained
USFS scores Park Hills at the 9th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 1,085 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 Park Hills at the 10th percentile, close to its 9th-percentile risk score.
Park Hills's building exposure, zone by zone
Most of Park Hills's buildings (71.9%) 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 Park Hills ranks
Park Hills scores 9th nationally and 4th within Kentucky — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Park Hills ranks 28,555 for wildfire risk (1 is highest) and 11,375 by building count (1 is largest). Within Kentucky alone, it ranks 531 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
Park Hills and the insurance market
Park Hills's low wildfire rating (9th 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.
Hardening a home in Park Hills
With ember exposure the dominant pattern in Park Hills (71.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Park Hills's figures come from
Park Hills's 9th-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 Park Hills's dominant indirect exposure actually means, with real examples from across the dataset.