New Hackensack, NY
New Hackensack wildfire risk explained
USFS scores New Hackensack at the 32nd national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 650 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, New Hackensack's burn probability — fire likelihood with no building count factored in — sits at the 33rd percentile nationally.
What "at risk" means for the buildings here
USFS classifies 66.9% of New Hackensack's buildings as Direct exposure, higher than its 32.8% Indirect share and far above its 0.3% Minimal share — a profile where 435 structures sit close enough to vegetation that lot clearing matters most.
Where New Hackensack ranks
Compare New Hackensack's two percentiles: 69th within New York, only 32nd nationally — a gap of 37 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, New Hackensack ranks 21,400 for wildfire risk (1 is highest) and 15,202 by building count (1 is largest). Within New York alone, it ranks 398 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
New Hackensack and the insurance market
New Hackensack's moderate rating (32nd 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
With 66.9% of New Hackensack in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where New Hackensack's figures come from
The methodology guide shows exactly how USFS turned 650 counted buildings into the percentiles shown above for New Hackensack. The exposure-zones guide covers what New Hackensack's dominant direct exposure actually means, with real examples from across the dataset.