Chalkhill, PA
How exposed is Chalkhill to wildfire?
USFS's Wildfire Risk to Communities model puts Chalkhill at the 58th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 133 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Chalkhill's burn probability — fire likelihood with no building count factored in — sits at the 56th percentile nationally.
What "at risk" means for the buildings here
Direct exposure dominates in Chalkhill: 96.2% of its 133 buildings, versus 3.8% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Chalkhill compares
Chalkhill's 94th-percentile standing inside Pennsylvania outpaces its 58th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Chalkhill ranks 13,371 for wildfire risk (1 is highest) and 27,593 by building count (1 is largest). Within Pennsylvania alone, it ranks 116 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 58th national percentile, Chalkhill rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Chalkhill's 96.2% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Chalkhill's figures come from
Every one of the two percentiles behind Chalkhill's 13,371-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Chalkhill's dominant direct exposure actually means, with real examples from across the dataset.