Friesville, PA
Friesville wildfire risk explained
Out of every US place USFS scores, Friesville lands at the 48th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 112 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Friesville at the 48th national percentile — 0 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
USFS classifies 55.4% of Friesville's buildings as Direct exposure, higher than its 44.6% Indirect share and far above its 0% Minimal share — a profile where 62 structures sit close enough to vegetation that lot clearing matters most.
How Friesville compares
Within Pennsylvania, Friesville ranks higher (78th percentile) than it does nationally (48th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Friesville ranks 16,365 for wildfire risk (1 is highest) and 28,561 by building count (1 is largest). Within Pennsylvania alone, it ranks 436 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 48th national percentile, Friesville rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Friesville
With 55.4% of Friesville 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 Friesville's figures come from
The methodology guide shows exactly how USFS turned 112 counted buildings into the percentiles shown above for Friesville. The exposure-zones guide covers what Friesville's dominant direct exposure actually means, with real examples from across the dataset.