New Cassel, NY
New Cassel wildfire risk explained
Out of every US place USFS scores, New Cassel lands at the 27th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 2,907 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, New Cassel's burn probability — fire likelihood with no building count factored in — sits at the 30th percentile nationally.
Where New Cassel's buildings actually sit
94% of New Cassel's 2,907 buildings sit in USFS's Minimal exposure zone, with only 0.8% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How New Cassel compares
Compare New Cassel's two percentiles: 56th 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, New Cassel ranks 22,979 for wildfire risk (1 is highest) and 5,574 by building count (1 is largest). Within New York alone, it ranks 562 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 Cassel
At the 27th national percentile, New Cassel 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
Even with 94% of New Cassel outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where New Cassel's figures come from
Every one of the two percentiles behind New Cassel's 22,979-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Cassel's dominant minimal exposure actually means, with real examples from across the dataset.