North Lynbrook, NY
North Lynbrook, NY's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts North Lynbrook at the 27th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 266 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks North Lynbrook at the 29th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Most of North Lynbrook's buildings (99.3% of 266) 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.
Where North Lynbrook ranks
Compare North Lynbrook's two percentiles: 55th within New York, only 27th nationally — a gap of 29 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, North Lynbrook ranks 23,109 for wildfire risk (1 is highest) and 22,643 by building count (1 is largest). Within New York alone, it ranks 575 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in North Lynbrook
At the 27th national percentile, North Lynbrook rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
North Lynbrook's 99.3% 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 North Lynbrook's figures come from
North Lynbrook's 27th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what North Lynbrook's dominant minimal exposure actually means, with real examples from across the dataset.