Burgettstown, PA
How exposed is Burgettstown to wildfire?
Burgettstown sits at the 36th 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 783 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 Burgettstown at the 38th percentile, close to its 36th-percentile risk score.
What "at risk" means for the buildings here
Indirect exposure is dominant in Burgettstown (89.9% of 783 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 10.1% sit in the Direct zone.
Burgettstown against the rest of the country
Compare Burgettstown's two percentiles: 54th within Pennsylvania, only 36th nationally — a gap of 17 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Burgettstown ranks 20,057 for wildfire risk (1 is highest) and 13,792 by building count (1 is largest). Within Pennsylvania alone, it ranks 927 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
Burgettstown's moderate rating (36th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Burgettstown
With ember exposure the dominant pattern in Burgettstown (89.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Burgettstown's figures come from
Burgettstown's 36th-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 Burgettstown's dominant indirect exposure actually means, with real examples from across the dataset.