Shippingport, PA
Shippingport wildfire risk explained
Out of every US place USFS scores, Shippingport lands at the 39th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 274 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Shippingport at the 39th percentile, close to its 39th-percentile risk score.
Where Shippingport's buildings actually sit
Indirect exposure is dominant in Shippingport (77.7% of 274 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 21.2% sit in the Direct zone.
How Shippingport compares
Compare Shippingport's two percentiles: 59th within Pennsylvania, only 39th nationally — a gap of 20 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Shippingport ranks 19,395 for wildfire risk (1 is highest) and 22,408 by building count (1 is largest). Within Pennsylvania alone, it ranks 820 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Shippingport
Shippingport's moderate wildfire rating (39th 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
Because 77.7% of Shippingport's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Shippingport's figures come from
Shippingport's 39th-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 Shippingport's dominant indirect exposure actually means, with real examples from across the dataset.