Milroy, PA
Milroy wildfire risk explained
Milroy's 946 buildings earn a 45th-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks Milroy at the 44th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Most of Milroy's buildings (77.5%) 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 Milroy compares
Milroy's 73rd-percentile standing inside Pennsylvania outpaces its 45th 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, Milroy ranks 17,218 for wildfire risk (1 is highest) and 12,336 by building count (1 is largest). Within Pennsylvania alone, it ranks 540 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Milroy and the insurance market
Milroy's elevated wildfire rating (45th 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.
Hardening a home in Milroy
Milroy's 77.5% 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 Milroy's figures come from
The methodology guide shows exactly how USFS turned 946 counted buildings into the percentiles shown above for Milroy. The exposure-zones guide covers what Milroy's dominant indirect exposure actually means, with real examples from across the dataset.