Vowinckel, PA
Vowinckel, PA's wildfire risk, in USFS's own numbers
Vowinckel sits at the 27th 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 193 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 Vowinckel at the 27th percentile, close to its 27th-percentile risk score.
What "at risk" means for the buildings here
100% of Vowinckel's 193 buildings sit in USFS's Direct exposure zone, roughly 193 structures close enough to burnable vegetation for flame contact, not just embers — 0% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Vowinckel ranks
There's little gap between Vowinckel's 27th national percentile and its 33rd percentile inside Pennsylvania, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Vowinckel ranks 22,958 for wildfire risk (1 is highest) and 25,133 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,341 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
At the 27th national percentile, Vowinckel rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Vowinckel
Because Direct exposure dominates in Vowinckel (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Vowinckel's figures come from
The methodology guide shows exactly how USFS turned 193 counted buildings into the percentiles shown above for Vowinckel. The exposure-zones guide covers what Vowinckel's dominant direct exposure actually means, with real examples from across the dataset.