Mount Morris, PA
How exposed is Mount Morris to wildfire?
USFS scores Mount Morris at the 41st national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 614 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Mount Morris at the 43rd percentile, close to its 41st-percentile risk score.
Mount Morris's building exposure, zone by zone
Most of Mount Morris's buildings (52.1%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Mount Morris compares
Compare Mount Morris's two percentiles: 65th within Pennsylvania, only 41st nationally — a gap of 24 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Mount Morris ranks 18,482 for wildfire risk (1 is highest) and 15,646 by building count (1 is largest). Within Pennsylvania alone, it ranks 691 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
Mount Morris's elevated rating (41st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Mount Morris
With ember exposure the dominant pattern in Mount Morris (52.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Mount Morris's figures come from
Mount Morris's 41st-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Mount Morris's dominant indirect exposure actually means, with real examples from across the dataset.