North Perry, OH
How exposed is North Perry to wildfire?
North Perry sits at the 34th 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 692 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts North Perry at the 36th percentile, close to its 34th-percentile risk score.
What "at risk" means for the buildings here
Of North Perry's 692 counted buildings, 64.7% carry Direct exposure and only 35.3% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where North Perry ranks
North Perry's 75th-percentile standing inside Ohio outpaces its 34th 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, North Perry ranks 20,685 for wildfire risk (1 is highest) and 14,750 by building count (1 is largest). Within Ohio alone, it ranks 318 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
North Perry's moderate rating (34th 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
North Perry's 64.7% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where North Perry's figures come from
The methodology guide shows exactly how USFS turned 692 counted buildings into the percentiles shown above for North Perry. The exposure-zones guide covers what North Perry's dominant direct exposure actually means, with real examples from across the dataset.