Plumsteadville, PA
Plumsteadville wildfire risk explained
Plumsteadville sits at the 13th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 1,001 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 Plumsteadville at the 12th percentile, close to its 13th-percentile risk score.
Where Plumsteadville's buildings actually sit
Of Plumsteadville's 1,001 counted buildings, 61.3% carry Direct exposure and only 38.7% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Plumsteadville ranks
Plumsteadville's risk sits at a similar level relative to Pennsylvania (12th percentile statewide) as it does nationally (13th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Plumsteadville ranks 27,398 for wildfire risk (1 is highest) and 11,928 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,754 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Plumsteadville and the insurance market
Plumsteadville's low rating (13th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Because Direct exposure dominates in Plumsteadville (61.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Plumsteadville's figures come from
The methodology guide shows exactly how USFS turned 1,001 counted buildings into the percentiles shown above for Plumsteadville. The exposure-zones guide covers what Plumsteadville's dominant direct exposure actually means, with real examples from across the dataset.