Langhorne, PA
Langhorne, PA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Langhorne lands at the 28th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 655 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Langhorne at the 28th percentile, close to its 28th-percentile risk score.
Where Langhorne's buildings actually sit
655 buildings are counted in Langhorne, and 53.4% of them are Indirect exposure — ember-driven risk rather than the 44.9% in Direct exposure or the 1.7% rated Minimal.
Langhorne against the rest of the country
Langhorne's risk sits at a similar level relative to Pennsylvania (33rd percentile statewide) as it does nationally (28th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Langhorne ranks 22,864 for wildfire risk (1 is highest) and 15,138 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,328 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Langhorne
Langhorne's moderate wildfire rating (28th 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
With ember exposure the dominant pattern in Langhorne (53.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Langhorne's figures come from
Every one of the two percentiles behind Langhorne's 22,864-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Langhorne's dominant indirect exposure actually means, with real examples from across the dataset.