Rushsylvania, OH
How exposed is Rushsylvania to wildfire?
Out of every US place USFS scores, Rushsylvania lands at the 8th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 352 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Rushsylvania's burn probability — fire likelihood with no building count factored in — sits at the 8th percentile nationally.
Where Rushsylvania's buildings actually sit
Of Rushsylvania's 352 counted buildings, 56.8% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Rushsylvania ranks
Within Ohio, Rushsylvania ranks higher (30th percentile) than it does nationally (8th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Rushsylvania ranks 28,946 for wildfire risk (1 is highest) and 20,266 by building count (1 is largest). Within Ohio alone, it ranks 892 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
Rushsylvania's low wildfire rating (8th 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 Rushsylvania
With 56.8% of Rushsylvania in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Rushsylvania's figures come from
The methodology guide shows exactly how USFS turned 352 counted buildings into the percentiles shown above for Rushsylvania. The exposure-zones guide covers what Rushsylvania's dominant direct exposure actually means, with real examples from across the dataset.