Broomall, PA
How exposed is Broomall to wildfire?
USFS scores Broomall at the 18th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 4,410 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Broomall's burn probability — fire likelihood with no building count factored in — sits at the 18th percentile nationally.
Broomall's building exposure, zone by zone
Most of Broomall's buildings (48.1%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Broomall ranks
Broomall scores 18th nationally and 19th 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, Broomall ranks 25,857 for wildfire risk (1 is highest) and 3,874 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,612 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
Broomall's low wildfire rating (18th 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
Broomall's 48.1% 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 Broomall's figures come from
The methodology guide shows exactly how USFS turned 4,410 counted buildings into the percentiles shown above for Broomall. The exposure-zones guide covers what Broomall's dominant indirect exposure actually means, with real examples from across the dataset.