Beaver, OH
Beaver, OH's wildfire risk, in USFS's own numbers
Beaver sits at the 48th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 269 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Beaver at the 50th percentile, close to its 48th-percentile risk score.
What "at risk" means for the buildings here
71% of Beaver's 269 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 29% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Beaver compares
Within Ohio, Beaver ranks higher (97th percentile) than it does nationally (48th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Beaver ranks 16,554 for wildfire risk (1 is highest) and 22,546 by building count (1 is largest). Within Ohio alone, it ranks 34 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
What this risk score means for insurance
Beaver's elevated wildfire rating (48th 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.
Hardening a home in Beaver
Because 71% of Beaver'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 Beaver's figures come from
Beaver's 48th-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 Beaver's dominant indirect exposure actually means, with real examples from across the dataset.