Mohrsville, PA
Mohrsville wildfire risk explained
Out of every US place USFS scores, Mohrsville lands at the 24th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 212 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mohrsville at the 25th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS puts 71.7% of Mohrsville's 212 buildings in the Indirect exposure zone, versus 28.3% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Mohrsville against the rest of the country
Mohrsville scores 24th nationally and 28th 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, Mohrsville ranks 23,840 for wildfire risk (1 is highest) and 24,414 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,426 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
Mohrsville's moderate rating (24th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Because 71.7% of Mohrsville'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 Mohrsville's figures come from
Every one of the two percentiles behind Mohrsville's 23,840-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Mohrsville's dominant indirect exposure actually means, with real examples from across the dataset.