WildfireRiskFinder

Sycamore, KY

How exposed is Sycamore to wildfire?

Low
10thpercentile nationally

Sycamore's 27 buildings earn a 10th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Sycamore at the 11th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.

Sycamore's building exposure, zone by zone

27Total buildings
0%Direct exposure
0%Indirect exposure
100%Minimal exposure

100% of Sycamore's 27 buildings sit in USFS's Minimal exposure zone, with only 0% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

Where Sycamore ranks

Sycamore scores 10th nationally and 5th 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, Sycamore ranks 28,457 for wildfire risk (1 is highest) and 31,391 by building count (1 is largest). Within Kentucky alone, it ranks 526 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

Sycamore's low wildfire rating (10th 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

Sycamore's 100% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Sycamore's figures come from

Every one of the two percentiles behind Sycamore's 28,457-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Sycamore's dominant minimal exposure actually means, with real examples from across the dataset.