Park Crest, PA
Park Crest, PA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Park Crest at the 57th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 370 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Park Crest at the 56th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Park Crest's buildings actually sit
Of Park Crest's 370 counted buildings, 74.6% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Park Crest against the rest of the country
Within Pennsylvania, Park Crest ranks higher (94th percentile) than it does nationally (57th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Park Crest ranks 13,559 for wildfire risk (1 is highest) and 19,868 by building count (1 is largest). Within Pennsylvania alone, it ranks 132 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Park Crest
Park Crest's elevated rating (57th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Because Direct exposure dominates in Park Crest (74.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Park Crest's figures come from
Park Crest's 57th-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 Park Crest's dominant direct exposure actually means, with real examples from across the dataset.