WildfireRiskFinder

Butler, KY

Butler, KY's wildfire risk, in USFS's own numbers

Moderate
21stpercentile nationally

USFS scores Butler at the 21st national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 249 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 Butler at the 23rd percentile, close to its 21st-percentile risk score.

Where Butler's buildings actually sit

249Total buildings
34.9%Direct exposure
65.1%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Butler (65.1% of 249 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 34.9% sit in the Direct zone.

Where Butler ranks

Within Kentucky, Butler ranks higher (37th percentile) than it does nationally (21st) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Butler ranks 24,805 for wildfire risk (1 is highest) and 23,166 by building count (1 is largest). Within Kentucky alone, it ranks 350 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

Butler's moderate rating (21st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Butler

Because 65.1% of Butler'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 Butler's figures come from

Every one of the two percentiles behind Butler's 24,805-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Butler's dominant indirect exposure actually means, with real examples from across the dataset.