Jenkins, KY
Jenkins, KY's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Jenkins at the 95th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 1,261 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Jenkins at the 96th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Jenkins's building exposure, zone by zone
Of Jenkins's 1,261 counted buildings, 71.1% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Jenkins against the rest of the country
There's little gap between Jenkins's 95th national percentile and its 100th percentile inside Kentucky, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Jenkins ranks 1,701 for wildfire risk (1 is highest) and 10,290 by building count (1 is largest). Within Kentucky alone, it ranks 4 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
Jenkins and the insurance market
Jenkins's very high rating (95th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
Jenkins's 71.1% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Jenkins's figures come from
Jenkins's 95th-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 Jenkins's dominant direct exposure actually means, with real examples from across the dataset.