Thurmond, WV
Thurmond, WV's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Thurmond lands at the 69th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 28 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Thurmond's burn probability — fire likelihood with no building count factored in — sits at the 69th percentile nationally.
Where Thurmond's buildings actually sit
100% of Thurmond's 28 buildings sit in USFS's Direct exposure zone, roughly 28 structures close enough to burnable vegetation for flame contact, not just embers — 0% fall in the Indirect, ember-only zone and 0% are Minimal.
Thurmond against the rest of the country
There's little gap between Thurmond's 69th national percentile and its 62nd 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, Thurmond ranks 9,945 for wildfire risk (1 is highest) and 31,388 by building count (1 is largest). Within West Virginia alone, it ranks 165 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
Thurmond and the insurance market
Thurmond's high rating (69th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
With 100% of Thurmond 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 Thurmond's figures come from
The methodology guide shows exactly how USFS turned 28 counted buildings into the percentiles shown above for Thurmond. The exposure-zones guide covers what Thurmond's dominant direct exposure actually means, with real examples from across the dataset.