Rowes Run, PA
How exposed is Rowes Run to wildfire?
USFS's Wildfire Risk to Communities model puts Rowes Run at the 36th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 333 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Rowes Run at the 38th percentile, close to its 36th-percentile risk score.
What "at risk" means for the buildings here
Most of Rowes Run's buildings (52%) 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.
How Rowes Run compares
Within Pennsylvania, Rowes Run ranks higher (52nd percentile) than it does nationally (36th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Rowes Run ranks 20,249 for wildfire risk (1 is highest) and 20,742 by building count (1 is largest). Within Pennsylvania alone, it ranks 961 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 36th national percentile, Rowes Run rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With ember exposure the dominant pattern in Rowes Run (52% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Rowes Run's figures come from
The methodology guide shows exactly how USFS turned 333 counted buildings into the percentiles shown above for Rowes Run. The exposure-zones guide covers what Rowes Run's dominant indirect exposure actually means, with real examples from across the dataset.