Mount Penn, PA
Mount Penn, PA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Mount Penn lands at the 22nd percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 769 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Mount Penn's burn probability — fire likelihood with no building count factored in — sits at the 19th percentile nationally.
Where Mount Penn's buildings actually sit
88.8% of Mount Penn's 769 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 11.2% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Mount Penn compares
Mount Penn's risk sits at a similar level relative to Pennsylvania (24th percentile statewide) as it does nationally (22nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Mount Penn ranks 24,720 for wildfire risk (1 is highest) and 13,930 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,516 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Mount Penn
At the 22nd national percentile, Mount Penn rates moderate 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 Mount Penn
Mount Penn's 88.8% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Mount Penn's figures come from
The methodology guide shows exactly how USFS turned 769 counted buildings into the percentiles shown above for Mount Penn. The exposure-zones guide covers what Mount Penn's dominant indirect exposure actually means, with real examples from across the dataset.