Wanamassa, NJ
How exposed is Wanamassa to wildfire?
Wanamassa's 1,796 buildings earn a 56th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Wanamassa at the 57th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Wanamassa's buildings actually sit
Only 11.1% of Wanamassa's 1,796 buildings carry Direct exposure and 0% carry Indirect; the remaining 88.9% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Wanamassa compares
Wanamassa's risk sits at a similar level relative to New Jersey (65th percentile statewide) as it does nationally (56th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Wanamassa ranks 14,003 for wildfire risk (1 is highest) and 8,079 by building count (1 is largest). Within New Jersey alone, it ranks 250 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in Wanamassa
Wanamassa's elevated wildfire rating (56th 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.
What would actually reduce this score
Even with 88.9% of Wanamassa outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Wanamassa's figures come from
Every one of the two percentiles behind Wanamassa's 14,003-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wanamassa's dominant minimal exposure actually means, with real examples from across the dataset.