Fairton, NJ
Fairton wildfire risk explained
USFS's Wildfire Risk to Communities model puts Fairton at the 78th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 746 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Fairton at the 74th national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Fairton's buildings actually sit
USFS classifies 76.1% of Fairton's buildings as Direct exposure, higher than its 22.9% Indirect share and far above its 0.9% Minimal share — a profile where 568 structures sit close enough to vegetation that lot clearing matters most.
Where Fairton ranks
There's little gap between Fairton's 78th national percentile and its 84th percentile inside New Jersey, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Fairton ranks 7,060 for wildfire risk (1 is highest) and 14,165 by building count (1 is largest). Within New Jersey alone, it ranks 114 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in Fairton
Fairton's 78th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Fairton
Because Direct exposure dominates in Fairton (76.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Fairton's figures come from
The methodology guide shows exactly how USFS turned 746 counted buildings into the percentiles shown above for Fairton. The exposure-zones guide covers what Fairton's dominant direct exposure actually means, with real examples from across the dataset.