WildfireRiskFinder

Fox Chase, KY

Fox Chase wildfire risk explained

Low
18thpercentile nationally

USFS's Wildfire Risk to Communities model puts Fox Chase at the 18th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 276 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Fox Chase's burn probability — fire likelihood with no building count factored in — sits at the 21st percentile nationally.

Fox Chase's building exposure, zone by zone

276Total buildings
92%Direct exposure
8%Indirect exposure
0%Minimal exposure

276 buildings are counted in Fox Chase, and 92% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.

Fox Chase against the rest of the country

Fox Chase scores 18th nationally and 29th 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, Fox Chase ranks 25,810 for wildfire risk (1 is highest) and 22,321 by building count (1 is largest). Within Kentucky alone, it ranks 390 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

Fox Chase's low rating (18th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Fox Chase's 92% 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 Fox Chase's figures come from

The methodology guide shows exactly how USFS turned 276 counted buildings into the percentiles shown above for Fox Chase. The exposure-zones guide covers what Fox Chase's dominant direct exposure actually means, with real examples from across the dataset.