Jefferson (York), PA
Jefferson (York) wildfire risk explained
USFS's Wildfire Risk to Communities model puts Jefferson (York) at the 8th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 387 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Jefferson (York) at the 6th percentile, close to its 8th-percentile risk score.
Jefferson (York)'s building exposure, zone by zone
Indirect exposure is dominant in Jefferson (York) (65.6% of 387 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 34.4% sit in the Direct zone.
Where Jefferson (York) ranks
Jefferson (York) scores 8th nationally and 5th 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, Jefferson (York) ranks 29,167 for wildfire risk (1 is highest) and 19,474 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,896 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Jefferson (York)
At the 8th national percentile, Jefferson (York) rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Jefferson (York) (65.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Jefferson (York)'s figures come from
Every one of the two percentiles behind Jefferson (York)'s 29,167-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Jefferson (York)'s dominant indirect exposure actually means, with real examples from across the dataset.