Triadelphia, WV
How exposed is Triadelphia to wildfire?
Triadelphia's 529 buildings earn a 39th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Triadelphia at the 39th percentile, close to its 39th-percentile risk score.
What "at risk" means for the buildings here
529 buildings are counted in Triadelphia, and 63.7% 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.
How Triadelphia compares
Triadelphia ranks lower within West Virginia (11th percentile statewide) than its 39th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Triadelphia ranks 19,335 for wildfire risk (1 is highest) and 16,886 by building count (1 is largest). Within West Virginia alone, it ranks 383 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
Triadelphia and the insurance market
At the 39th national percentile, Triadelphia rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With 63.7% of Triadelphia in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Triadelphia's figures come from
Every one of the two percentiles behind Triadelphia's 19,335-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Triadelphia's dominant direct exposure actually means, with real examples from across the dataset.