Pittston, PA
Pittston, PA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Pittston lands at the 40th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 3,260 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 Pittston at the 38th percentile, close to its 40th-percentile risk score.
Where Pittston's buildings actually sit
Pittston rates 86% Minimal exposure against just 1.6% Direct and 12.5% Indirect — of 3,260 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Where Pittston ranks
Pittston's 62nd-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, Pittston ranks 18,952 for wildfire risk (1 is highest) and 5,088 by building count (1 is largest). Within Pennsylvania alone, it ranks 750 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Pittston
Pittston's moderate 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.
Lowering exposure, not just insuring around it
Even with 86% of Pittston outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Pittston's figures come from
Pittston'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 Pittston's dominant minimal exposure actually means, with real examples from across the dataset.