WildfireRiskFinder

Noxen, PA

How exposed is Noxen to wildfire?

Elevated
58thpercentile nationally

Noxen's 417 buildings earn a 58th-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.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Noxen at the 58th percentile, close to its 58th-percentile risk score.

Where Noxen's buildings actually sit

417Total buildings
95.4%Direct exposure
4.6%Indirect exposure
0%Minimal exposure

95.4% of Noxen's 417 buildings sit in USFS's Direct exposure zone, roughly 398 structures close enough to burnable vegetation for flame contact, not just embers — 4.6% fall in the Indirect, ember-only zone and 0% are Minimal.

Noxen against the rest of the country

Compare Noxen's two percentiles: 94th within Pennsylvania, only 58th nationally — a gap of 37 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Noxen ranks 13,344 for wildfire risk (1 is highest) and 18,894 by building count (1 is largest). Within Pennsylvania alone, it ranks 115 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

Shopping for coverage in Noxen

Noxen's elevated rating (58th 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 Noxen

With 95.4% of Noxen in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.

Where Noxen's figures come from

The methodology guide shows exactly how USFS turned 417 counted buildings into the percentiles shown above for Noxen. The exposure-zones guide covers what Noxen's dominant direct exposure actually means, with real examples from across the dataset.