Carlls Corner, NJ
Carlls Corner wildfire risk explained
Carlls Corner's 595 buildings earn a 52nd-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, Carlls Corner's burn probability — fire likelihood with no building count factored in — sits at the 52nd percentile nationally.
Where Carlls Corner's buildings actually sit
51.8% of Carlls Corner's 595 buildings sit in USFS's Direct exposure zone, roughly 308 structures close enough to burnable vegetation for flame contact, not just embers — 10.1% fall in the Indirect, ember-only zone and 38.2% are Minimal.
How Carlls Corner compares
Carlls Corner scores 52nd nationally and 60th 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, Carlls Corner ranks 15,037 for wildfire risk (1 is highest) and 15,898 by building count (1 is largest). Within New Jersey alone, it ranks 279 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in Carlls Corner
Carlls Corner's elevated wildfire rating (52nd 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
Carlls Corner's 51.8% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Carlls Corner's figures come from
Every one of the two percentiles behind Carlls Corner's 15,037-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Carlls Corner's dominant direct exposure actually means, with real examples from across the dataset.