Sandyville, OH
Sandyville wildfire risk explained
USFS scores Sandyville at the 36th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 271 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Sandyville at the 38th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Sandyville's building exposure, zone by zone
Indirect exposure is dominant in Sandyville (67.9% of 271 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 32.1% sit in the Direct zone.
How Sandyville compares
Within Ohio, Sandyville ranks higher (79th percentile) than it does nationally (36th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Sandyville ranks 20,184 for wildfire risk (1 is highest) and 22,480 by building count (1 is largest). Within Ohio alone, it ranks 266 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Sandyville and the insurance market
Sandyville's moderate wildfire rating (36th 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
With ember exposure the dominant pattern in Sandyville (67.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Sandyville's figures come from
Every one of the two percentiles behind Sandyville's 20,184-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Sandyville's dominant indirect exposure actually means, with real examples from across the dataset.