Rural Valley, PA
Rural Valley wildfire risk explained
USFS scores Rural Valley at the 40th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 539 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Rural Valley at the 42nd percentile, close to its 40th-percentile risk score.
Where Rural Valley's buildings actually sit
USFS puts 55.7% of Rural Valley's 539 buildings in the Indirect exposure zone, versus 44.3% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Rural Valley compares
Rural Valley's 64th-percentile standing inside Pennsylvania outpaces its 40th 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, Rural Valley ranks 18,798 for wildfire risk (1 is highest) and 16,739 by building count (1 is largest). Within Pennsylvania alone, it ranks 720 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Rural Valley and the insurance market
Rural Valley's elevated rating (40th 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 Rural Valley
With ember exposure the dominant pattern in Rural Valley (55.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Rural Valley's figures come from
Rural Valley's 40th-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 Rural Valley's dominant indirect exposure actually means, with real examples from across the dataset.