Wormleysburg, PA
Wormleysburg, PA's wildfire risk, in USFS's own numbers
USFS scores Wormleysburg at the 17th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 906 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Wormleysburg's burn probability — fire likelihood with no building count factored in — sits at the 17th percentile nationally.
What "at risk" means for the buildings here
Only 5.5% of Wormleysburg's 906 buildings carry Direct exposure and 0% carry Indirect; the remaining 94.5% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Wormleysburg compares
Wormleysburg scores 17th nationally and 17th 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, Wormleysburg ranks 26,297 for wildfire risk (1 is highest) and 12,673 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,654 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Wormleysburg
Wormleysburg's low wildfire rating (17th 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
Wormleysburg's 94.5% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Wormleysburg's figures come from
Every one of the two percentiles behind Wormleysburg's 26,297-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wormleysburg's dominant minimal exposure actually means, with real examples from across the dataset.