Boomer, WV
Boomer, WV's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Boomer lands at the 92nd percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 392 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Boomer at the 93rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Boomer's buildings actually sit
Indirect exposure is dominant in Boomer (73.5% of 392 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 25.5% sit in the Direct zone.
Boomer against the rest of the country
There's little gap between Boomer's 92nd national percentile and its 89th 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, Boomer ranks 2,442 for wildfire risk (1 is highest) and 19,386 by building count (1 is largest). Within West Virginia alone, it ranks 49 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
Shopping for coverage in Boomer
Boomer's very high rating (92nd 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
Because 73.5% of Boomer's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Boomer's figures come from
Every one of the two percentiles behind Boomer's 2,442-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Boomer's dominant indirect exposure actually means, with real examples from across the dataset.