Elk Grove, PA
Elk Grove, PA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Elk Grove at the 47th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 189 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Elk Grove at the 47th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
189 buildings are counted in Elk Grove, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Elk Grove against the rest of the country
Within Pennsylvania, Elk Grove ranks higher (76th percentile) than it does nationally (47th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Elk Grove ranks 16,717 for wildfire risk (1 is highest) and 25,293 by building count (1 is largest). Within Pennsylvania alone, it ranks 480 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
Elk Grove's elevated wildfire rating (47th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Elk Grove
Because Direct exposure dominates in Elk Grove (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Elk Grove's figures come from
Elk Grove's 47th-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 Elk Grove's dominant direct exposure actually means, with real examples from across the dataset.