Reynolds Heights, PA
How exposed is Reynolds Heights to wildfire?
Reynolds Heights's 1,004 buildings earn a 35th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Reynolds Heights's burn probability — fire likelihood with no building count factored in — sits at the 35th percentile nationally.
What "at risk" means for the buildings here
1,004 buildings are counted in Reynolds Heights, and 50.9% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Reynolds Heights against the rest of the country
Reynolds Heights's risk sits at a similar level relative to Pennsylvania (49th percentile statewide) as it does nationally (35th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Reynolds Heights ranks 20,589 for wildfire risk (1 is highest) and 11,908 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,018 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Reynolds Heights and the insurance market
Reynolds Heights's moderate wildfire rating (35th 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 Reynolds Heights
Reynolds Heights's 50.9% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Reynolds Heights's figures come from
Reynolds Heights's 35th-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 Reynolds Heights's dominant direct exposure actually means, with real examples from across the dataset.