Stoneboro, PA
Stoneboro, PA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Stoneboro at the 40th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 727 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Stoneboro at the 41st percentile, close to its 40th-percentile risk score.
What "at risk" means for the buildings here
Direct exposure dominates in Stoneboro: 60.7% of its 727 buildings, versus 38% Indirect and 1.4% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Stoneboro ranks
Compare Stoneboro's two percentiles: 64th within Pennsylvania, only 40th nationally — a gap of 24 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Stoneboro ranks 18,828 for wildfire risk (1 is highest) and 14,375 by building count (1 is largest). Within Pennsylvania alone, it ranks 725 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Stoneboro and the insurance market
Stoneboro's elevated rating (40th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 60.7% of Stoneboro 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 Stoneboro's figures come from
Every one of the two percentiles behind Stoneboro's 18,828-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Stoneboro's dominant direct exposure actually means, with real examples from across the dataset.