Oakmont, PA
How exposed is Oakmont to wildfire?
USFS scores Oakmont at the 26th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 2,785 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 Oakmont at the 26th percentile, close to its 26th-percentile risk score.
What "at risk" means for the buildings here
92% of Oakmont's 2,785 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 7.1% Direct and 0.9% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Oakmont against the rest of the country
There's little gap between Oakmont's 26th national percentile and its 31st percentile inside Pennsylvania, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Oakmont ranks 23,305 for wildfire risk (1 is highest) and 5,796 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,376 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 26th national percentile, Oakmont 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 Oakmont
With ember exposure the dominant pattern in Oakmont (92% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Oakmont's figures come from
Every one of the two percentiles behind Oakmont's 23,305-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Oakmont's dominant indirect exposure actually means, with real examples from across the dataset.