WildfireRiskFinder

Ringtown, PA

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

Elevated
52ndpercentile nationally

Ringtown's 442 buildings earn a 52nd-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.)

Separately from the risk score above, Ringtown's burn probability — fire likelihood with no building count factored in — sits at the 51st percentile nationally.

What "at risk" means for the buildings here

442Total buildings
16.3%Direct exposure
83.7%Indirect exposure
0%Minimal exposure

442 buildings are counted in Ringtown, and 83.7% of them are Indirect exposure — ember-driven risk rather than the 16.3% in Direct exposure or the 0% rated Minimal.

How Ringtown compares

Ringtown's 86th-percentile standing inside Pennsylvania outpaces its 52nd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Ringtown ranks 15,105 for wildfire risk (1 is highest) and 18,426 by building count (1 is largest). Within Pennsylvania alone, it ranks 277 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

Shopping for coverage in Ringtown

Ringtown's elevated wildfire rating (52nd percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.

What would actually reduce this score

With ember exposure the dominant pattern in Ringtown (83.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Ringtown's figures come from

Every one of the two percentiles behind Ringtown's 15,105-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ringtown's dominant indirect exposure actually means, with real examples from across the dataset.