Schenley, PA
Schenley wildfire risk explained
Schenley sits at the 37th 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 182 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Schenley at the 38th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Schenley's building exposure, zone by zone
Direct exposure dominates in Schenley: 73.6% of its 182 buildings, versus 19.8% Indirect and 6.6% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Schenley against the rest of the country
Compare Schenley's two percentiles: 55th within Pennsylvania, only 37th nationally — a gap of 18 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Schenley ranks 19,926 for wildfire risk (1 is highest) and 25,569 by building count (1 is largest). Within Pennsylvania alone, it ranks 907 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Schenley
Schenley's moderate wildfire rating (37th 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 Schenley (73.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Schenley's figures come from
Schenley's 37th-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 Schenley's dominant direct exposure actually means, with real examples from across the dataset.