Wind Gap, PA
Wind Gap wildfire risk explained
Wind Gap sits at the 53rd percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 1,127 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Wind Gap's burn probability — fire likelihood with no building count factored in — sits at the 51st percentile nationally.
Where Wind Gap's buildings actually sit
73.7% of Wind Gap's 1,127 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 26.4% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Wind Gap compares
Within Pennsylvania, Wind Gap 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, Wind Gap ranks 14,730 for wildfire risk (1 is highest) and 11,103 by building count (1 is largest). Within Pennsylvania alone, it ranks 237 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Wind Gap
Wind Gap's elevated wildfire rating (53rd 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.
Hardening a home in Wind Gap
With ember exposure the dominant pattern in Wind Gap (73.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Wind Gap's figures come from
Wind Gap's 53rd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Wind Gap's dominant indirect exposure actually means, with real examples from across the dataset.