Sheffield, OH
Sheffield wildfire risk explained
Sheffield sits at the 30th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 2,268 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Sheffield at the 30th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Sheffield's buildings actually sit
Sheffield rates 51.5% Minimal exposure against just 48.5% Direct and 0% Indirect — of 2,268 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Where Sheffield ranks
Sheffield's 65th-percentile standing inside Ohio outpaces its 30th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Sheffield ranks 22,100 for wildfire risk (1 is highest) and 6,775 by building count (1 is largest). Within Ohio alone, it ranks 444 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
Sheffield's moderate rating (30th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Sheffield
Even with 51.5% of Sheffield 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 Sheffield's figures come from
The methodology guide shows exactly how USFS turned 2,268 counted buildings into the percentiles shown above for Sheffield. The exposure-zones guide covers what Sheffield's dominant minimal exposure actually means, with real examples from across the dataset.