Gann (Brinkhaven), OH
Gann (Brinkhaven) wildfire risk explained
USFS's Wildfire Risk to Communities model puts Gann (Brinkhaven) at the 43rd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 91 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Gann (Brinkhaven) at the 43rd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Gann (Brinkhaven)'s building exposure, zone by zone
91 buildings are counted in Gann (Brinkhaven), and 64.8% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where Gann (Brinkhaven) ranks
Compare Gann (Brinkhaven)'s two percentiles: 94th within Ohio, only 43rd nationally — a gap of 51 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Gann (Brinkhaven) ranks 18,000 for wildfire risk (1 is highest) and 29,464 by building count (1 is largest). Within Ohio alone, it ranks 72 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Gann (Brinkhaven) and the insurance market
Gann (Brinkhaven)'s elevated wildfire rating (43rd 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.
What would actually reduce this score
Because Direct exposure dominates in Gann (Brinkhaven) (64.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Gann (Brinkhaven)'s figures come from
Every one of the two percentiles behind Gann (Brinkhaven)'s 18,000-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Gann (Brinkhaven)'s dominant direct exposure actually means, with real examples from across the dataset.