Kingsley, KY
How exposed is Kingsley to wildfire?
Kingsley sits at the 11th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 243 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Kingsley's burn probability — fire likelihood with no building count factored in — sits at the 14th percentile nationally.
Where Kingsley's buildings actually sit
Only 16.5% of Kingsley's 243 buildings carry Direct exposure and 0% carry Indirect; the remaining 83.5% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Kingsley compares
Kingsley scores 11th nationally and 12th 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, Kingsley ranks 28,110 for wildfire risk (1 is highest) and 23,363 by building count (1 is largest). Within Kentucky alone, it ranks 484 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
Shopping for coverage in Kingsley
Kingsley's low wildfire rating (11th 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.
What would actually reduce this score
Even with 83.5% of Kingsley outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Kingsley's figures come from
Kingsley's 11th-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 Kingsley's dominant minimal exposure actually means, with real examples from across the dataset.