Beech Creek, PA
Beech Creek, PA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Beech Creek at the 52nd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 405 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Beech Creek at the 51st national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Beech Creek's buildings actually sit
USFS puts 67.4% of Beech Creek's 405 buildings in the Indirect exposure zone, versus 32.6% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Beech Creek compares
Beech Creek's 85th-percentile standing inside Pennsylvania outpaces its 52nd 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, Beech Creek ranks 15,300 for wildfire risk (1 is highest) and 19,125 by building count (1 is largest). Within Pennsylvania alone, it ranks 302 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Beech Creek
Beech Creek's elevated rating (52nd 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 Beech Creek
Beech Creek's 67.4% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Beech Creek's figures come from
The methodology guide shows exactly how USFS turned 405 counted buildings into the percentiles shown above for Beech Creek. The exposure-zones guide covers what Beech Creek's dominant indirect exposure actually means, with real examples from across the dataset.