Woodlawn, OH
Woodlawn wildfire risk explained
Woodlawn sits at the 14th 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 1,398 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Woodlawn's burn probability — fire likelihood with no building count factored in — sits at the 16th percentile nationally.
Woodlawn's building exposure, zone by zone
Woodlawn rates 65.3% Minimal exposure against just 34.7% Direct and 0% Indirect — of 1,398 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Woodlawn against the rest of the country
Woodlawn's 40th-percentile standing inside Ohio outpaces its 14th 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, Woodlawn ranks 27,272 for wildfire risk (1 is highest) and 9,636 by building count (1 is largest). Within Ohio alone, it ranks 759 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Woodlawn and the insurance market
Woodlawn's low rating (14th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Even with 65.3% of Woodlawn 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 Woodlawn's figures come from
Woodlawn's 14th-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 Woodlawn's dominant minimal exposure actually means, with real examples from across the dataset.