WildfireRiskFinder

Clappertown, PA

Clappertown wildfire risk explained

Elevated
50thpercentile nationally

Clappertown's 107 buildings earn a 50th-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 Clappertown at the 48th percentile, close to its 50th-percentile risk score.

Where Clappertown's buildings actually sit

107Total buildings
17.8%Direct exposure
82.2%Indirect exposure
0%Minimal exposure

107 buildings are counted in Clappertown, and 82.2% of them are Indirect exposure — ember-driven risk rather than the 17.8% in Direct exposure or the 0% rated Minimal.

Clappertown against the rest of the country

Within Pennsylvania, Clappertown ranks higher (81st percentile) than it does nationally (50th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Clappertown ranks 15,928 for wildfire risk (1 is highest) and 28,750 by building count (1 is largest). Within Pennsylvania alone, it ranks 381 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

Clappertown's elevated rating (50th 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 Clappertown

With ember exposure the dominant pattern in Clappertown (82.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Clappertown's figures come from

The methodology guide shows exactly how USFS turned 107 counted buildings into the percentiles shown above for Clappertown. The exposure-zones guide covers what Clappertown's dominant indirect exposure actually means, with real examples from across the dataset.