Iselin, NJ
Iselin wildfire risk explained
Iselin's 5,086 buildings earn a 26th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Iselin's burn probability — fire likelihood with no building count factored in — sits at the 28th percentile nationally.
What "at risk" means for the buildings here
Only 2.2% of Iselin's 5,086 buildings carry Direct exposure and 0% carry Indirect; the remaining 97.8% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure. At 5,086 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Iselin compares
Iselin scores 26th nationally and 18th within New Jersey — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Iselin ranks 23,296 for wildfire risk (1 is highest) and 3,388 by building count (1 is largest). Within New Jersey alone, it ranks 574 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Iselin and the insurance market
Iselin's moderate wildfire rating (26th 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.
Lowering exposure, not just insuring around it
Iselin's 97.8% 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 Iselin's figures come from
Every one of the two percentiles behind Iselin's 23,296-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Iselin's dominant minimal exposure actually means, with real examples from across the dataset.