Ohiopyle, PA
Ohiopyle wildfire risk explained
Ohiopyle sits at the 53rd percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 65 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 Ohiopyle at the 52nd percentile, close to its 53rd-percentile risk score.
Where Ohiopyle's buildings actually sit
65 buildings are counted in Ohiopyle, and 66.2% of them are Indirect exposure — ember-driven risk rather than the 33.9% in Direct exposure or the 0% rated Minimal.
Where Ohiopyle ranks
Within Pennsylvania, Ohiopyle ranks higher (87th percentile) than it does nationally (53rd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Ohiopyle ranks 14,918 for wildfire risk (1 is highest) and 30,479 by building count (1 is largest). Within Pennsylvania alone, it ranks 257 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
What this risk score means for insurance
Ohiopyle's elevated wildfire rating (53rd 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
Ohiopyle's 66.2% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Ohiopyle's figures come from
Every one of the two percentiles behind Ohiopyle's 14,918-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ohiopyle's dominant indirect exposure actually means, with real examples from across the dataset.