Slabtown, PA
Slabtown wildfire risk explained
USFS scores Slabtown at the 41st national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 148 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Slabtown at the 40th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Slabtown's buildings actually sit
148 buildings are counted in Slabtown, and 81.8% 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.
Where Slabtown ranks
Compare Slabtown's two percentiles: 65th within Pennsylvania, only 41st nationally — a gap of 24 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Slabtown ranks 18,704 for wildfire risk (1 is highest) and 26,966 by building count (1 is largest). Within Pennsylvania alone, it ranks 710 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Slabtown
Slabtown's elevated wildfire rating (41st 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 81.8% of Slabtown in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Slabtown's figures come from
Slabtown's 41st-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 Slabtown's dominant direct exposure actually means, with real examples from across the dataset.