Hawk Run, PA
Hawk Run wildfire risk explained
Hawk Run's 347 buildings earn a 52nd-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Hawk Run at the 52nd percentile, close to its 52nd-percentile risk score.
What "at risk" means for the buildings here
57.1% of Hawk Run's 347 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 42.9% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Hawk Run against the rest of the country
Hawk Run's 86th-percentile standing inside Pennsylvania outpaces its 52nd 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, Hawk Run ranks 15,167 for wildfire risk (1 is highest) and 20,406 by building count (1 is largest). Within Pennsylvania alone, it ranks 280 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
Hawk Run's elevated wildfire rating (52nd 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
Hawk Run's 57.1% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Hawk Run's figures come from
Every one of the two percentiles behind Hawk Run's 15,167-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hawk Run's dominant indirect exposure actually means, with real examples from across the dataset.