WildfireRiskFinder

Narberth, PA

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

Low
17thpercentile nationally

Narberth's 1,697 buildings earn a 17th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Narberth at the 17th percentile, close to its 17th-percentile risk score.

What "at risk" means for the buildings here

1,697Total buildings
10%Direct exposure
0%Indirect exposure
90%Minimal exposure

Most of Narberth's buildings (90% of 1,697) 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.

How Narberth compares

Narberth scores 17th nationally and 18th 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, Narberth ranks 26,200 for wildfire risk (1 is highest) and 8,430 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,641 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

What this risk score means for insurance

Narberth's low rating (17th 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

With 90% of buildings rated Minimal exposure, Narberth gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Narberth's figures come from

The methodology guide shows exactly how USFS turned 1,697 counted buildings into the percentiles shown above for Narberth. The exposure-zones guide covers what Narberth's dominant minimal exposure actually means, with real examples from across the dataset.