Worthington Hills, KY
How exposed is Worthington Hills to wildfire?
Worthington Hills sits at the 11th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 617 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Worthington Hills's burn probability — fire likelihood with no building count factored in — sits at the 12th percentile nationally.
Where Worthington Hills's buildings actually sit
USFS puts 49.3% of Worthington Hills's 617 buildings in the Indirect exposure zone, versus 21.2% Direct and 29.5% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Worthington Hills compares
Worthington Hills scores 11th nationally and 13th 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, Worthington Hills ranks 28,079 for wildfire risk (1 is highest) and 15,606 by building count (1 is largest). Within Kentucky alone, it ranks 482 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
Worthington Hills and the insurance market
Worthington Hills's low rating (11th 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 Worthington Hills
Because 49.3% of Worthington Hills'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 Worthington Hills's figures come from
The methodology guide shows exactly how USFS turned 617 counted buildings into the percentiles shown above for Worthington Hills. The exposure-zones guide covers what Worthington Hills's dominant indirect exposure actually means, with real examples from across the dataset.