Madisonburg, PA
Madisonburg wildfire risk explained
USFS scores Madisonburg at the 59th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 146 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Madisonburg's burn probability — fire likelihood with no building count factored in — sits at the 56th percentile nationally.
What "at risk" means for the buildings here
Most of Madisonburg's buildings (59.6%) 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.
Madisonburg against the rest of the country
Compare Madisonburg's two percentiles: 95th within Pennsylvania, only 59th nationally — a gap of 36 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Madisonburg ranks 12,929 for wildfire risk (1 is highest) and 27,044 by building count (1 is largest). Within Pennsylvania alone, it ranks 97 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Madisonburg
At the 59th national percentile, Madisonburg rates elevated 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 Madisonburg
With ember exposure the dominant pattern in Madisonburg (59.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Madisonburg's figures come from
The methodology guide shows exactly how USFS turned 146 counted buildings into the percentiles shown above for Madisonburg. The exposure-zones guide covers what Madisonburg's dominant indirect exposure actually means, with real examples from across the dataset.