Emporium, PA
Emporium, PA's wildfire risk, in USFS's own numbers
USFS scores Emporium at the 50th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 1,066 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Emporium at the 49th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS puts 89.5% of Emporium's 1,066 buildings in the Indirect exposure zone, versus 10.5% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Emporium ranks
Within Pennsylvania, Emporium ranks higher (81st percentile) than it does nationally (50th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Emporium ranks 15,898 for wildfire risk (1 is highest) and 11,491 by building count (1 is largest). Within Pennsylvania alone, it ranks 377 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Emporium
Emporium's elevated wildfire rating (50th 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 Emporium
Because 89.5% of Emporium's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Emporium's figures come from
Emporium's 50th-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 Emporium's dominant indirect exposure actually means, with real examples from across the dataset.