WildfireRiskFinder

Perkasie, PA

Perkasie, PA's wildfire risk, in USFS's own numbers

Low
13thpercentile nationally

Perkasie 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 2,979 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Perkasie's burn probability — fire likelihood with no building count factored in — sits at the 12th percentile nationally.

What "at risk" means for the buildings here

2,979Total buildings
37.5%Direct exposure
5.4%Indirect exposure
57.1%Minimal exposure

Most of Perkasie's buildings (57.1% of 2,979) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

Where Perkasie ranks

Perkasie'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, Perkasie ranks 27,465 for wildfire risk (1 is highest) and 5,471 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,761 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

Perkasie and the insurance market

Perkasie'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.

Hardening a home in Perkasie

Perkasie's 57.1% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Perkasie's figures come from

Perkasie's 13th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Perkasie's dominant minimal exposure actually means, with real examples from across the dataset.