Jerseytown, PA
How exposed is Jerseytown to wildfire?
Out of every US place USFS scores, Jerseytown lands at the 37th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 146 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Jerseytown at the 38th national percentile — 1 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
146 buildings are counted in Jerseytown, and 78.8% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Jerseytown against the rest of the country
Jerseytown's 55th-percentile standing inside Pennsylvania outpaces its 37th 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, Jerseytown ranks 19,897 for wildfire risk (1 is highest) and 27,043 by building count (1 is largest). Within Pennsylvania alone, it ranks 899 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
Jerseytown's moderate wildfire rating (37th 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 Jerseytown (78.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Jerseytown's figures come from
The methodology guide shows exactly how USFS turned 146 counted buildings into the percentiles shown above for Jerseytown. The exposure-zones guide covers what Jerseytown's dominant direct exposure actually means, with real examples from across the dataset.