Falls Creek, PA
Falls Creek, PA's wildfire risk, in USFS's own numbers
Falls Creek 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 604 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Falls Creek's burn probability — fire likelihood with no building count factored in — sits at the 38th percentile nationally.
Where Falls Creek's buildings actually sit
Indirect exposure is dominant in Falls Creek (68.2% of 604 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 31.8% sit in the Direct zone.
Where Falls Creek ranks
Compare Falls Creek's two percentiles: 54th within Pennsylvania, only 37th nationally — a gap of 17 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Falls Creek ranks 19,988 for wildfire risk (1 is highest) and 15,792 by building count (1 is largest). Within Pennsylvania alone, it ranks 914 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Falls Creek
At the 37th national percentile, Falls Creek rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Falls Creek (68.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Falls Creek's figures come from
Every one of the two percentiles behind Falls Creek's 19,988-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Falls Creek's dominant indirect exposure actually means, with real examples from across the dataset.