Nottingham, PA
Nottingham wildfire risk explained
Out of every US place USFS scores, Nottingham lands at the 13th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 690 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Nottingham at the 12th national percentile — 2 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
USFS classifies 79.6% of Nottingham's buildings as Direct exposure, higher than its 14.9% Indirect share and far above its 5.5% Minimal share — a profile where 549 structures sit close enough to vegetation that lot clearing matters most.
How Nottingham compares
Nottingham scores 13th nationally and 12th 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, Nottingham ranks 27,370 for wildfire risk (1 is highest) and 14,762 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,752 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Nottingham
Nottingham's low rating (13th 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
Because Direct exposure dominates in Nottingham (79.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Nottingham's figures come from
Every one of the two percentiles behind Nottingham's 27,370-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Nottingham's dominant direct exposure actually means, with real examples from across the dataset.