Brady Lake, OH
Brady Lake wildfire risk explained
Brady Lake sits at the 31st 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 756 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 Brady Lake at the 33rd percentile, close to its 31st-percentile risk score.
Brady Lake's building exposure, zone by zone
Of Brady Lake's 756 counted buildings, 54.5% carry Direct exposure and only 1.9% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Brady Lake ranks
Brady Lake's 69th-percentile standing inside Ohio outpaces its 31st 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, Brady Lake ranks 21,627 for wildfire risk (1 is highest) and 14,052 by building count (1 is largest). Within Ohio alone, it ranks 394 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Brady Lake
At the 31st national percentile, Brady Lake rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Brady Lake (54.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Brady Lake's figures come from
Brady Lake's 31st-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 Brady Lake's dominant direct exposure actually means, with real examples from across the dataset.