Greenville, WV
Greenville, WV's wildfire risk, in USFS's own numbers
Greenville's 129 buildings earn a 95th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Greenville's burn probability — fire likelihood with no building count factored in — sits at the 97th percentile nationally.
Greenville's building exposure, zone by zone
USFS classifies 61.2% of Greenville's buildings as Direct exposure, higher than its 38.8% Indirect share and far above its 0% Minimal share — a profile where 79 structures sit close enough to vegetation that lot clearing matters most.
Where Greenville ranks
Greenville's risk sits at a similar level relative to West Virginia (97th percentile statewide) as it does nationally (95th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Greenville ranks 1,464 for wildfire risk (1 is highest) and 27,776 by building count (1 is largest). Within West Virginia alone, it ranks 13 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
What this risk score means for insurance
Greenville's very high rating (95th 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.
Lowering exposure, not just insuring around it
With 61.2% of Greenville 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 Greenville's figures come from
Greenville's 95th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Greenville's dominant direct exposure actually means, with real examples from across the dataset.