Clark, PA
Clark, PA's wildfire risk, in USFS's own numbers
Clark sits at the 32nd percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 369 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Clark at the 32nd percentile, close to its 32nd-percentile risk score.
Where Clark's buildings actually sit
369 buildings are counted in Clark, and 71.8% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Clark against the rest of the country
Clark 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, Clark ranks 21,502 for wildfire risk (1 is highest) and 19,891 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,148 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Clark
Clark'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.
What would actually reduce this score
Clark's 71.8% 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 Clark's figures come from
Every one of the two percentiles behind Clark's 21,502-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Clark's dominant direct exposure actually means, with real examples from across the dataset.