New Baltimore, NY
New Baltimore, NY's wildfire risk, in USFS's own numbers
New Baltimore's 412 buildings earn a 19th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts New Baltimore at the 18th percentile, close to its 19th-percentile risk score.
What "at risk" means for the buildings here
77.2% of New Baltimore's 412 buildings sit in USFS's Direct exposure zone, roughly 318 structures close enough to burnable vegetation for flame contact, not just embers — 21.6% fall in the Indirect, ember-only zone and 1.2% are Minimal.
How New Baltimore compares
Within New York, New Baltimore ranks higher (44th percentile) than it does nationally (19th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, New Baltimore ranks 25,412 for wildfire risk (1 is highest) and 18,991 by building count (1 is largest). Within New York alone, it ranks 724 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in New Baltimore
New Baltimore's low wildfire rating (19th 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
New Baltimore's 77.2% 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 New Baltimore's figures come from
The methodology guide shows exactly how USFS turned 412 counted buildings into the percentiles shown above for New Baltimore. The exposure-zones guide covers what New Baltimore's dominant direct exposure actually means, with real examples from across the dataset.