Long Lake, NY
Long Lake, NY's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Long Lake lands at the 11th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 1,024 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Long Lake's burn probability — fire likelihood with no building count factored in — sits at the 11th percentile nationally.
Long Lake's building exposure, zone by zone
Direct exposure dominates in Long Lake: 94.6% of its 1,024 buildings, versus 3.1% Indirect and 2.3% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Long Lake compares
There's little gap between Long Lake's 11th national percentile and its 25th percentile inside New York, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Long Lake ranks 28,149 for wildfire risk (1 is highest) and 11,770 by building count (1 is largest). Within New York alone, it ranks 960 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Long Lake and the insurance market
Long Lake's low wildfire rating (11th 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
Long Lake's 94.6% 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 Long Lake's figures come from
Every one of the two percentiles behind Long Lake's 28,149-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Long Lake's dominant direct exposure actually means, with real examples from across the dataset.