WildfireRiskFinder

Blawnox, PA

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

Moderate
22ndpercentile nationally

Blawnox's 643 buildings earn a 22nd-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Blawnox at the 22nd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.

What "at risk" means for the buildings here

643Total buildings
3.6%Direct exposure
0.2%Indirect exposure
96.3%Minimal exposure

Most of Blawnox's buildings (96.3% of 643) 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.

Blawnox against the rest of the country

Blawnox scores 22nd nationally and 25th within Pennsylvania — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Blawnox ranks 24,623 for wildfire risk (1 is highest) and 15,289 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,502 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

Shopping for coverage in Blawnox

At the 22nd national percentile, Blawnox rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Hardening a home in Blawnox

With 96.3% of buildings rated Minimal exposure, Blawnox gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Blawnox's figures come from

The methodology guide shows exactly how USFS turned 643 counted buildings into the percentiles shown above for Blawnox. The exposure-zones guide covers what Blawnox's dominant minimal exposure actually means, with real examples from across the dataset.