Winburne, PA
How exposed is Winburne to wildfire?
Winburne sits at the 56th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 419 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 Winburne at the 56th percentile, close to its 56th-percentile risk score.
What "at risk" means for the buildings here
Direct exposure dominates in Winburne: 98.3% of its 419 buildings, versus 1.7% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Winburne ranks
Winburne's 93rd-percentile standing inside Pennsylvania outpaces its 56th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Winburne ranks 13,723 for wildfire risk (1 is highest) and 18,847 by building count (1 is largest). Within Pennsylvania alone, it ranks 145 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Winburne and the insurance market
Winburne's elevated wildfire rating (56th 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 Direct exposure dominates in Winburne (98.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Winburne's figures come from
Every one of the two percentiles behind Winburne's 13,723-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Winburne's dominant direct exposure actually means, with real examples from across the dataset.