Seven Fields, PA
Seven Fields, PA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Seven Fields lands at the 29th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 667 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 Seven Fields at the 30th percentile, close to its 29th-percentile risk score.
Seven Fields's building exposure, zone by zone
Most of Seven Fields's buildings (49.9% of 667) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Seven Fields ranks
Seven Fields scores 29th nationally and 35th 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, Seven Fields ranks 22,485 for wildfire risk (1 is highest) and 14,991 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,288 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Seven Fields
Seven Fields's moderate rating (29th 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 Seven Fields
Even with 49.9% of Seven Fields 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 Seven Fields's figures come from
Seven Fields's 29th-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 Seven Fields's dominant minimal exposure actually means, with real examples from across the dataset.