Pea Ridge, WV
How exposed is Pea Ridge to wildfire?
USFS's Wildfire Risk to Communities model puts Pea Ridge at the 59th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 2,790 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Pea Ridge at the 60th percentile, close to its 59th-percentile risk score.
Pea Ridge's building exposure, zone by zone
89.5% of Pea Ridge's 2,790 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 10.5% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Pea Ridge ranks
Pea Ridge's risk sits at a similar level relative to West Virginia (48th percentile statewide) as it does nationally (59th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Pea Ridge ranks 13,066 for wildfire risk (1 is highest) and 5,785 by building count (1 is largest). Within West Virginia alone, it ranks 225 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
Pea Ridge's elevated wildfire rating (59th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Because 89.5% of Pea Ridge'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 Pea Ridge's figures come from
Pea Ridge's 59th-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 Pea Ridge's dominant indirect exposure actually means, with real examples from across the dataset.