Beaverdale, PA
How exposed is Beaverdale to wildfire?
Beaverdale sits at the 41st 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 698 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Beaverdale at the 41st national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Beaverdale's building exposure, zone by zone
698 buildings are counted in Beaverdale, and 50.4% of them are Indirect exposure — ember-driven risk rather than the 49.6% in Direct exposure or the 0% rated Minimal.
Beaverdale against the rest of the country
Compare Beaverdale's two percentiles: 66th within Pennsylvania, only 41st nationally — a gap of 24 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Beaverdale ranks 18,480 for wildfire risk (1 is highest) and 14,680 by building count (1 is largest). Within Pennsylvania alone, it ranks 689 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Beaverdale and the insurance market
Beaverdale's elevated rating (41st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Beaverdale's 50.4% 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 Beaverdale's figures come from
Beaverdale's 41st-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 Beaverdale's dominant indirect exposure actually means, with real examples from across the dataset.