Skyline View, PA
How exposed is Skyline View to wildfire?
USFS scores Skyline View at the 35th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 1,617 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Skyline View at the 36th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS puts 49.8% of Skyline View's 1,617 buildings in the Indirect exposure zone, versus 36.4% Direct and 13.8% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Skyline View ranks
Skyline View scores 35th nationally and 49th within Pennsylvania — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Skyline View ranks 20,590 for wildfire risk (1 is highest) and 8,707 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,019 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Skyline View and the insurance market
Skyline View's moderate wildfire rating (35th 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 49.8% of Skyline View'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 Skyline View's figures come from
The methodology guide shows exactly how USFS turned 1,617 counted buildings into the percentiles shown above for Skyline View. The exposure-zones guide covers what Skyline View's dominant indirect exposure actually means, with real examples from across the dataset.