Hibernia, NJ
How exposed is Hibernia to wildfire?
USFS's Wildfire Risk to Communities model puts Hibernia at the 42nd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 115 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Hibernia at the 40th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
Hibernia's building exposure, zone by zone
USFS classifies 92.2% of Hibernia's buildings as Direct exposure, higher than its 7.8% Indirect share and far above its 0% Minimal share — a profile where 106 structures sit close enough to vegetation that lot clearing matters most.
Where Hibernia ranks
There's little gap between Hibernia's 42nd national percentile and its 46th 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, Hibernia ranks 18,222 for wildfire risk (1 is highest) and 28,418 by building count (1 is largest). Within New Jersey alone, it ranks 378 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in Hibernia
Hibernia's elevated wildfire rating (42nd 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 Hibernia
Because Direct exposure dominates in Hibernia (92.2%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Hibernia's figures come from
Every one of the two percentiles behind Hibernia's 18,222-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hibernia's dominant direct exposure actually means, with real examples from across the dataset.