Baileyville, PA
Baileyville, PA's wildfire risk, in USFS's own numbers
Baileyville sits at the 47th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 152 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Baileyville at the 46th percentile, close to its 47th-percentile risk score.
Where Baileyville's buildings actually sit
USFS classifies 73% of Baileyville's buildings as Direct exposure, higher than its 27% Indirect share and far above its 0% Minimal share — a profile where 111 structures sit close enough to vegetation that lot clearing matters most.
Baileyville against the rest of the country
Compare Baileyville's two percentiles: 75th within Pennsylvania, only 47th nationally — a gap of 28 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Baileyville ranks 16,841 for wildfire risk (1 is highest) and 26,821 by building count (1 is largest). Within Pennsylvania alone, it ranks 495 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
Baileyville's elevated rating (47th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Baileyville
Baileyville's 73% 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 Baileyville's figures come from
The methodology guide shows exactly how USFS turned 152 counted buildings into the percentiles shown above for Baileyville. The exposure-zones guide covers what Baileyville's dominant direct exposure actually means, with real examples from across the dataset.