Bartley, WV
Bartley, WV's wildfire risk, in USFS's own numbers
Bartley sits at the 91st percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 131 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Bartley's burn probability — fire likelihood with no building count factored in — sits at the 93rd percentile nationally.
Where Bartley's buildings actually sit
131 buildings are counted in Bartley, and 99.2% 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.
Bartley against the rest of the country
There's little gap between Bartley's 91st national percentile and its 85th percentile inside West Virginia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Bartley ranks 2,789 for wildfire risk (1 is highest) and 27,694 by building count (1 is largest). Within West Virginia alone, it ranks 65 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
Shopping for coverage in Bartley
Bartley's 91st-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
Because Direct exposure dominates in Bartley (99.2%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Bartley's figures come from
The methodology guide shows exactly how USFS turned 131 counted buildings into the percentiles shown above for Bartley. The exposure-zones guide covers what Bartley's dominant direct exposure actually means, with real examples from across the dataset.