Laceyville, PA
Laceyville wildfire risk explained
Out of every US place USFS scores, Laceyville lands at the 43rd percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 184 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 Laceyville at the 44th percentile, close to its 43rd-percentile risk score.
Laceyville's building exposure, zone by zone
62% of Laceyville's 184 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 38% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Laceyville compares
Compare Laceyville's two percentiles: 69th within Pennsylvania, only 43rd nationally — a gap of 26 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Laceyville ranks 17,942 for wildfire risk (1 is highest) and 25,480 by building count (1 is largest). Within Pennsylvania alone, it ranks 615 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Laceyville
Laceyville's elevated wildfire rating (43rd 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
Laceyville's 62% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Laceyville's figures come from
The methodology guide shows exactly how USFS turned 184 counted buildings into the percentiles shown above for Laceyville. The exposure-zones guide covers what Laceyville's dominant indirect exposure actually means, with real examples from across the dataset.