Greenock, PA
Greenock, PA's wildfire risk, in USFS's own numbers
Greenock sits at the 30th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 1,030 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Greenock's burn probability — fire likelihood with no building count factored in — sits at the 31st percentile nationally.
What "at risk" means for the buildings here
65.6% of Greenock's 1,030 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 34.4% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Greenock against the rest of the country
Greenock scores 30th nationally and 39th 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, Greenock ranks 21,979 for wildfire risk (1 is highest) and 11,726 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,218 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
At the 30th national percentile, Greenock rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Greenock's 65.6% 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 Greenock's figures come from
Greenock's 30th-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 Greenock's dominant indirect exposure actually means, with real examples from across the dataset.