Fort Seneca, OH
Fort Seneca, OH's wildfire risk, in USFS's own numbers
Fort Seneca sits at the 3rd percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 182 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 Fort Seneca at the 3rd percentile, close to its 3rd-percentile risk score.
Where Fort Seneca's buildings actually sit
Most of Fort Seneca's buildings (64.8% of 182) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Fort Seneca ranks
Fort Seneca's risk sits at a similar level relative to Ohio (17th percentile statewide) as it does nationally (3rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Fort Seneca ranks 30,614 for wildfire risk (1 is highest) and 25,555 by building count (1 is largest). Within Ohio alone, it ranks 1,042 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Fort Seneca
Fort Seneca's low rating (3rd 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
Even with 64.8% of Fort Seneca outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Fort Seneca's figures come from
The methodology guide shows exactly how USFS turned 182 counted buildings into the percentiles shown above for Fort Seneca. The exposure-zones guide covers what Fort Seneca's dominant minimal exposure actually means, with real examples from across the dataset.