Saxonburg, PA
Saxonburg, PA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Saxonburg at the 24th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 732 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Saxonburg's burn probability — fire likelihood with no building count factored in — sits at the 25th percentile nationally.
Where Saxonburg's buildings actually sit
71.6% of Saxonburg's 732 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 28.4% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Saxonburg ranks
There's little gap between Saxonburg's 24th national percentile and its 28th percentile inside Pennsylvania, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Saxonburg ranks 23,900 for wildfire risk (1 is highest) and 14,311 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,433 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 24th national percentile, Saxonburg rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With ember exposure the dominant pattern in Saxonburg (71.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Saxonburg's figures come from
Every one of the two percentiles behind Saxonburg's 23,900-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Saxonburg's dominant indirect exposure actually means, with real examples from across the dataset.