Lattingtown, NY
Lattingtown, NY's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Lattingtown at the 35th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 1,057 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Lattingtown's burn probability — fire likelihood with no building count factored in — sits at the 35th percentile nationally.
Lattingtown's building exposure, zone by zone
Direct exposure dominates in Lattingtown: 94.5% of its 1,057 buildings, versus 3.9% Indirect and 1.6% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Lattingtown compares
Within New York, Lattingtown ranks higher (76th percentile) than it does nationally (35th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Lattingtown ranks 20,425 for wildfire risk (1 is highest) and 11,547 by building count (1 is largest). Within New York alone, it ranks 308 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
What this risk score means for insurance
At the 35th national percentile, Lattingtown 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
With 94.5% of Lattingtown 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 Lattingtown's figures come from
The methodology guide shows exactly how USFS turned 1,057 counted buildings into the percentiles shown above for Lattingtown. The exposure-zones guide covers what Lattingtown's dominant direct exposure actually means, with real examples from across the dataset.