Mason, OH
How exposed is Mason to wildfire?
Mason sits at the 18th 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 11,321 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Mason's burn probability — fire likelihood with no building count factored in — sits at the 21st percentile nationally.
What "at risk" means for the buildings here
Most of Mason's buildings (78.8% of 11,321) 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. At 11,321 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Mason compares
Within Ohio, Mason ranks higher (48th percentile) than it does nationally (18th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Mason ranks 25,759 for wildfire risk (1 is highest) and 1,397 by building count (1 is largest). Within Ohio alone, it ranks 657 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Mason
Mason's low wildfire rating (18th 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 Mason
Mason's 78.8% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Mason's figures come from
The methodology guide shows exactly how USFS turned 11,321 counted buildings into the percentiles shown above for Mason. The exposure-zones guide covers what Mason's dominant minimal exposure actually means, with real examples from across the dataset.