Rehrersburg, PA
How exposed is Rehrersburg to wildfire?
Out of every US place USFS scores, Rehrersburg lands at the 19th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 203 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Rehrersburg's burn probability — fire likelihood with no building count factored in — sits at the 19th percentile nationally.
What "at risk" means for the buildings here
82.3% of Rehrersburg's 203 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 17.7% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Rehrersburg against the rest of the country
There's little gap between Rehrersburg's 19th national percentile and its 20th percentile inside Pennsylvania, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Rehrersburg ranks 25,540 for wildfire risk (1 is highest) and 24,746 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,585 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Rehrersburg and the insurance market
Rehrersburg's low rating (19th 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 Rehrersburg
With ember exposure the dominant pattern in Rehrersburg (82.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Rehrersburg's figures come from
Every one of the two percentiles behind Rehrersburg's 25,540-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Rehrersburg's dominant indirect exposure actually means, with real examples from across the dataset.