Mifflinville, PA
How exposed is Mifflinville to wildfire?
USFS's Wildfire Risk to Communities model puts Mifflinville at the 32nd national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 792 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mifflinville at the 33rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Mifflinville's building exposure, zone by zone
USFS puts 61.6% of Mifflinville's 792 buildings in the Indirect exposure zone, versus 38.3% Direct and 0.1% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Mifflinville ranks
Mifflinville scores 32nd nationally and 42nd 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, Mifflinville ranks 21,503 for wildfire risk (1 is highest) and 13,715 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,149 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Mifflinville and the insurance market
Mifflinville's moderate wildfire rating (32nd 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
Because 61.6% of Mifflinville'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 Mifflinville's figures come from
Mifflinville's 32nd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Mifflinville's dominant indirect exposure actually means, with real examples from across the dataset.