Old Bethpage, NY
Old Bethpage, NY's wildfire risk, in USFS's own numbers
USFS scores Old Bethpage at the 29th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 2,142 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Old Bethpage at the 31st national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Old Bethpage's buildings actually sit
Most of Old Bethpage's buildings (87.9% of 2,142) 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.
How Old Bethpage compares
Compare Old Bethpage's two percentiles: 61st within New York, only 29th nationally — a gap of 32 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Old Bethpage ranks 22,386 for wildfire risk (1 is highest) and 7,088 by building count (1 is largest). Within New York alone, it ranks 504 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Old Bethpage
Old Bethpage's moderate wildfire rating (29th 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
Old Bethpage's 87.9% 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 Old Bethpage's figures come from
Old Bethpage's 29th-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 Old Bethpage's dominant minimal exposure actually means, with real examples from across the dataset.