Huttonsville, WV
Huttonsville, WV's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Huttonsville lands at the 53rd percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 147 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Huttonsville at the 53rd percentile, close to its 53rd-percentile risk score.
What "at risk" means for the buildings here
147 buildings are counted in Huttonsville, and 60.5% 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.
Where Huttonsville ranks
Huttonsville's risk sits at a similar level relative to West Virginia (40th percentile statewide) as it does nationally (53rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Huttonsville ranks 14,862 for wildfire risk (1 is highest) and 27,002 by building count (1 is largest). Within West Virginia alone, it ranks 257 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
Shopping for coverage in Huttonsville
Huttonsville's elevated rating (53rd 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
Because Direct exposure dominates in Huttonsville (60.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Huttonsville's figures come from
Every one of the two percentiles behind Huttonsville's 14,862-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Huttonsville's dominant direct exposure actually means, with real examples from across the dataset.