Pottery Addition, OH
Pottery Addition wildfire risk explained
Pottery Addition's 225 buildings earn a 32nd-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Pottery Addition at the 32nd percentile, close to its 32nd-percentile risk score.
Pottery Addition's building exposure, zone by zone
USFS puts 65.8% of Pottery Addition's 225 buildings in the Indirect exposure zone, versus 34.2% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Pottery Addition against the rest of the country
Within Ohio, Pottery Addition ranks higher (71st percentile) than it does nationally (32nd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Pottery Addition ranks 21,313 for wildfire risk (1 is highest) and 23,959 by building count (1 is largest). Within Ohio alone, it ranks 365 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Pottery Addition and the insurance market
Pottery Addition's moderate wildfire rating (32nd 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.
Lowering exposure, not just insuring around it
Because 65.8% of Pottery Addition's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Pottery Addition's figures come from
The methodology guide shows exactly how USFS turned 225 counted buildings into the percentiles shown above for Pottery Addition. The exposure-zones guide covers what Pottery Addition's dominant indirect exposure actually means, with real examples from across the dataset.