Olyphant, PA
How exposed is Olyphant to wildfire?
Olyphant's 2,517 buildings earn a 47th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Olyphant at the 47th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Olyphant's building exposure, zone by zone
Olyphant rates 93.5% Minimal exposure against just 5.7% Direct and 0.8% Indirect — of 2,517 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Olyphant against the rest of the country
Olyphant's 77th-percentile standing inside Pennsylvania outpaces its 47th 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, Olyphant ranks 16,587 for wildfire risk (1 is highest) and 6,273 by building count (1 is largest). Within Pennsylvania alone, it ranks 465 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Olyphant and the insurance market
Olyphant's elevated wildfire rating (47th 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
Even with 93.5% of Olyphant outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Olyphant's figures come from
Olyphant's 47th-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 Olyphant's dominant minimal exposure actually means, with real examples from across the dataset.