Ridgway, PA
Ridgway, PA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Ridgway lands at the 26th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 2,186 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Ridgway at the 26th percentile, close to its 26th-percentile risk score.
Where Ridgway's buildings actually sit
Most of Ridgway's buildings (79.2%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Ridgway against the rest of the country
Ridgway scores 26th nationally and 31st within Pennsylvania — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Ridgway ranks 23,270 for wildfire risk (1 is highest) and 6,975 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,373 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
What this risk score means for insurance
Ridgway's moderate rating (26th 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 Ridgway
Ridgway's 79.2% 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 Ridgway's figures come from
Ridgway's 26th-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 Ridgway's dominant indirect exposure actually means, with real examples from across the dataset.