Carpendale, WV
Carpendale wildfire risk explained
Carpendale sits at the 41st percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 511 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Carpendale at the 40th percentile, close to its 41st-percentile risk score.
Carpendale's building exposure, zone by zone
Indirect exposure is dominant in Carpendale (72.6% of 511 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 27.4% sit in the Direct zone.
Carpendale against the rest of the country
Inside West Virginia, Carpendale sits at just the 17th percentile even though it scores 41st nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Carpendale ranks 18,641 for wildfire risk (1 is highest) and 17,164 by building count (1 is largest). Within West Virginia alone, it ranks 355 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
Shopping for coverage in Carpendale
Carpendale's elevated rating (41st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Carpendale (72.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Carpendale's figures come from
The methodology guide shows exactly how USFS turned 511 counted buildings into the percentiles shown above for Carpendale. The exposure-zones guide covers what Carpendale's dominant indirect exposure actually means, with real examples from across the dataset.