WildfireRiskFinder

South Amboy, NJ

South Amboy wildfire risk explained

Elevated
55thpercentile nationally

South Amboy's 2,999 buildings earn a 55th-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.)

Separately from the risk score above, South Amboy's burn probability — fire likelihood with no building count factored in — sits at the 51st percentile nationally.

What "at risk" means for the buildings here

2,999Total buildings
2.1%Direct exposure
0.9%Indirect exposure
97%Minimal exposure

Most of South Amboy's buildings (97% of 2,999) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

South Amboy against the rest of the country

There's little gap between South Amboy's 55th national percentile and its 64th 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, South Amboy ranks 14,248 for wildfire risk (1 is highest) and 5,437 by building count (1 is largest). Within New Jersey alone, it ranks 252 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.

Shopping for coverage in South Amboy

South Amboy's elevated rating (55th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

South Amboy's 97% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where South Amboy's figures come from

The methodology guide shows exactly how USFS turned 2,999 counted buildings into the percentiles shown above for South Amboy. The exposure-zones guide covers what South Amboy's dominant minimal exposure actually means, with real examples from across the dataset.