WildfireRiskFinder

Archbald, PA

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

Elevated
53rdpercentile nationally

Archbald's 3,676 buildings earn a 53rd-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 Archbald at the 52nd percentile, close to its 53rd-percentile risk score.

What "at risk" means for the buildings here

3,676Total buildings
18.1%Direct exposure
56%Indirect exposure
25.9%Minimal exposure

USFS puts 56% of Archbald's 3,676 buildings in the Indirect exposure zone, versus 18.1% Direct and 25.9% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

How Archbald compares

Within Pennsylvania, Archbald ranks higher (88th percentile) than it does nationally (53rd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Archbald ranks 14,818 for wildfire risk (1 is highest) and 4,555 by building count (1 is largest). Within Pennsylvania alone, it ranks 243 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

Shopping for coverage in Archbald

Archbald's elevated rating (53rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

With ember exposure the dominant pattern in Archbald (56% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Archbald's figures come from

The methodology guide shows exactly how USFS turned 3,676 counted buildings into the percentiles shown above for Archbald. The exposure-zones guide covers what Archbald's dominant indirect exposure actually means, with real examples from across the dataset.