Grand Rivers, KY
Grand Rivers, KY's wildfire risk, in USFS's own numbers
Grand Rivers's 491 buildings earn a 43rd-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 Grand Rivers at the 45th percentile, close to its 43rd-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 71.1% of Grand Rivers's buildings as Direct exposure, higher than its 0% Indirect share and far above its 28.9% Minimal share — a profile where 349 structures sit close enough to vegetation that lot clearing matters most.
Where Grand Rivers ranks
Grand Rivers's 72nd-percentile standing inside Kentucky outpaces its 43rd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Grand Rivers ranks 17,957 for wildfire risk (1 is highest) and 17,511 by building count (1 is largest). Within Kentucky alone, it ranks 154 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
Shopping for coverage in Grand Rivers
Grand Rivers's elevated wildfire rating (43rd 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 Grand Rivers
Because Direct exposure dominates in Grand Rivers (71.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Grand Rivers's figures come from
Every one of the two percentiles behind Grand Rivers's 17,957-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Grand Rivers's dominant direct exposure actually means, with real examples from across the dataset.