West Wyoming, PA
West Wyoming wildfire risk explained
USFS scores West Wyoming at the 56th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 1,570 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 West Wyoming at the 56th percentile, close to its 56th-percentile risk score.
West Wyoming's building exposure, zone by zone
USFS puts 79.8% of West Wyoming's 1,570 buildings in the Indirect exposure zone, versus 20.2% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where West Wyoming ranks
West Wyoming's 93rd-percentile standing inside Pennsylvania outpaces its 56th 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, West Wyoming ranks 13,722 for wildfire risk (1 is highest) and 8,885 by building count (1 is largest). Within Pennsylvania alone, it ranks 144 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
West Wyoming's elevated wildfire rating (56th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in West Wyoming
Because 79.8% of West Wyoming's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where West Wyoming's figures come from
The methodology guide shows exactly how USFS turned 1,570 counted buildings into the percentiles shown above for West Wyoming. The exposure-zones guide covers what West Wyoming's dominant indirect exposure actually means, with real examples from across the dataset.