Penn Farms, PA
How exposed is Penn Farms to wildfire?
USFS's Wildfire Risk to Communities model puts Penn Farms at the 33rd national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 779 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Penn Farms at the 34th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Penn Farms's buildings actually sit
Only 25.9% of Penn Farms's 779 buildings carry Direct exposure and 0% carry Indirect; the remaining 74.1% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Penn Farms ranks
Penn Farms's risk sits at a similar level relative to Pennsylvania (46th percentile statewide) as it does nationally (33rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Penn Farms ranks 21,065 for wildfire risk (1 is highest) and 13,829 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,087 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Penn Farms
Penn Farms's moderate rating (33rd 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
Penn Farms's 74.1% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Penn Farms's figures come from
Every one of the two percentiles behind Penn Farms's 21,065-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Penn Farms's dominant minimal exposure actually means, with real examples from across the dataset.