Trappe, PA
Trappe wildfire risk explained
Out of every US place USFS scores, Trappe lands at the 9th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 1,117 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Trappe at the 9th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Trappe's building exposure, zone by zone
66.2% of Trappe's 1,117 buildings sit in USFS's Direct exposure zone, roughly 739 structures close enough to burnable vegetation for flame contact, not just embers — 0% fall in the Indirect, ember-only zone and 33.8% are Minimal.
Where Trappe ranks
There's little gap between Trappe's 9th national percentile and its 6th percentile inside Pennsylvania, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Trappe ranks 28,825 for wildfire risk (1 is highest) and 11,170 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,872 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
Trappe's low wildfire rating (9th 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.
Hardening a home in Trappe
Trappe's 66.2% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Trappe's figures come from
Trappe's 9th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Trappe's dominant direct exposure actually means, with real examples from across the dataset.