Millersburg, PA
How exposed is Millersburg to wildfire?
USFS scores Millersburg at the 44th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 895 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 Millersburg at the 42nd percentile, close to its 44th-percentile risk score.
What "at risk" means for the buildings here
Indirect exposure is dominant in Millersburg (89.7% of 895 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 10.3% sit in the Direct zone.
Where Millersburg ranks
Within Pennsylvania, Millersburg ranks higher (70th percentile) than it does nationally (44th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Millersburg ranks 17,725 for wildfire risk (1 is highest) and 12,771 by building count (1 is largest). Within Pennsylvania alone, it ranks 589 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
Millersburg's elevated rating (44th 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 Millersburg
Because 89.7% of Millersburg'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 Millersburg's figures come from
Every one of the two percentiles behind Millersburg's 17,725-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Millersburg's dominant indirect exposure actually means, with real examples from across the dataset.