Jeff, KY
Jeff, KY's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Jeff lands at the 93rd percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 193 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Jeff's burn probability — fire likelihood with no building count factored in — sits at the 95th percentile nationally.
Where Jeff's buildings actually sit
Direct exposure dominates in Jeff: 50.3% of its 193 buildings, versus 49.7% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Jeff compares
Jeff's risk sits at a similar level relative to Kentucky (97th percentile statewide) as it does nationally (93rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Jeff ranks 2,171 for wildfire risk (1 is highest) and 25,121 by building count (1 is largest). Within Kentucky alone, it ranks 17 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
Jeff and the insurance market
Jeff's 93rd-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
With 50.3% of Jeff in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Jeff's figures come from
Every one of the two percentiles behind Jeff's 2,171-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Jeff's dominant direct exposure actually means, with real examples from across the dataset.