Newmanstown, PA
How exposed is Newmanstown to wildfire?
USFS's Wildfire Risk to Communities model puts Newmanstown at the 21st national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 1,242 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Newmanstown at the 19th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Indirect exposure is dominant in Newmanstown (62.4% of 1,242 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 28.7% sit in the Direct zone.
Where Newmanstown ranks
Newmanstown scores 21st nationally and 22nd within Pennsylvania — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Newmanstown ranks 25,004 for wildfire risk (1 is highest) and 10,392 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,544 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
Newmanstown's moderate wildfire rating (21st 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.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Newmanstown (62.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Newmanstown's figures come from
The methodology guide shows exactly how USFS turned 1,242 counted buildings into the percentiles shown above for Newmanstown. The exposure-zones guide covers what Newmanstown's dominant indirect exposure actually means, with real examples from across the dataset.