Halfway House, PA
Halfway House wildfire risk explained
USFS scores Halfway House at the 14th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 1,185 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Halfway House's burn probability — fire likelihood with no building count factored in — sits at the 13th percentile nationally.
What "at risk" means for the buildings here
USFS classifies 63.8% of Halfway House's buildings as Direct exposure, higher than its 0% Indirect share and far above its 36.2% Minimal share — a profile where 756 structures sit close enough to vegetation that lot clearing matters most.
Halfway House against the rest of the country
Halfway House's risk sits at a similar level relative to Pennsylvania (14th percentile statewide) as it does nationally (14th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Halfway House ranks 27,052 for wildfire risk (1 is highest) and 10,739 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,722 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
At the 14th national percentile, Halfway House rates low 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 Halfway House
Because Direct exposure dominates in Halfway House (63.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Halfway House's figures come from
Every one of the two percentiles behind Halfway House's 27,052-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Halfway House's dominant direct exposure actually means, with real examples from across the dataset.