WildfireRiskFinder

Wakeman, OH

Wakeman, OH's wildfire risk, in USFS's own numbers

Low
8thpercentile nationally

USFS scores Wakeman at the 8th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 611 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Wakeman's burn probability — fire likelihood with no building count factored in — sits at the 8th percentile nationally.

Where Wakeman's buildings actually sit

611Total buildings
31.3%Direct exposure
68.7%Indirect exposure
0%Minimal exposure

611 buildings are counted in Wakeman, and 68.7% of them are Indirect exposure — ember-driven risk rather than the 31.3% in Direct exposure or the 0% rated Minimal.

Where Wakeman ranks

Compare Wakeman's two percentiles: 28th within Ohio, only 8th nationally — a gap of 20 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Wakeman ranks 29,069 for wildfire risk (1 is highest) and 15,685 by building count (1 is largest). Within Ohio alone, it ranks 907 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

Wakeman's low rating (8th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Because 68.7% of Wakeman'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 Wakeman's figures come from

Every one of the two percentiles behind Wakeman's 29,069-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wakeman's dominant indirect exposure actually means, with real examples from across the dataset.