Frizzleburg, PA
Frizzleburg wildfire risk explained
Out of every US place USFS scores, Frizzleburg lands at the 39th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 368 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Frizzleburg at the 40th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
368 buildings are counted in Frizzleburg, and 73.4% 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.
How Frizzleburg compares
Frizzleburg's 59th-percentile standing inside Pennsylvania outpaces its 39th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Frizzleburg ranks 19,357 for wildfire risk (1 is highest) and 19,916 by building count (1 is largest). Within Pennsylvania alone, it ranks 807 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 39th national percentile, Frizzleburg rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Because Direct exposure dominates in Frizzleburg (73.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Frizzleburg's figures come from
Every one of the two percentiles behind Frizzleburg's 19,357-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Frizzleburg's dominant direct exposure actually means, with real examples from across the dataset.