Lanesboro, PA
Lanesboro, PA's wildfire risk, in USFS's own numbers
USFS scores Lanesboro at the 21st national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 295 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Lanesboro at the 20th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
95.3% of Lanesboro's 295 buildings sit in USFS's Direct exposure zone, roughly 281 structures close enough to burnable vegetation for flame contact, not just embers — 4.8% fall in the Indirect, ember-only zone and 0% are Minimal.
Lanesboro against the rest of the country
Lanesboro scores 21st nationally and 23rd within Pennsylvania — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Lanesboro ranks 24,941 for wildfire risk (1 is highest) and 21,771 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,539 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
At the 21st national percentile, Lanesboro rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Lanesboro (95.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Lanesboro's figures come from
The methodology guide shows exactly how USFS turned 295 counted buildings into the percentiles shown above for Lanesboro. The exposure-zones guide covers what Lanesboro's dominant direct exposure actually means, with real examples from across the dataset.