Rennerdale, PA
Rennerdale, PA's wildfire risk, in USFS's own numbers
Rennerdale sits at the 31st percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 552 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Rennerdale at the 32nd percentile, close to its 31st-percentile risk score.
What "at risk" means for the buildings here
552 buildings are counted in Rennerdale, and 59.8% of them are Indirect exposure — ember-driven risk rather than the 40.2% in Direct exposure or the 0% rated Minimal.
How Rennerdale compares
Rennerdale's risk sits at a similar level relative to Pennsylvania (41st percentile statewide) as it does nationally (31st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Rennerdale ranks 21,757 for wildfire risk (1 is highest) and 16,545 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,186 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
Rennerdale's moderate wildfire rating (31st 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 Rennerdale (59.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Rennerdale's figures come from
Every one of the two percentiles behind Rennerdale's 21,757-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Rennerdale's dominant indirect exposure actually means, with real examples from across the dataset.