Clifton Springs, NY
How exposed is Clifton Springs to wildfire?
Clifton Springs sits at the 4th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 859 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Clifton Springs's burn probability — fire likelihood with no building count factored in — sits at the 5th percentile nationally.
Where Clifton Springs's buildings actually sit
859 buildings are counted in Clifton Springs, and 53% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 47% rated Minimal.
How Clifton Springs compares
There's little gap between Clifton Springs's 4th national percentile and its 4th 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, Clifton Springs ranks 30,141 for wildfire risk (1 is highest) and 13,092 by building count (1 is largest). Within New York alone, it ranks 1,239 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Clifton Springs
Clifton Springs's low rating (4th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Because Direct exposure dominates in Clifton Springs (53%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Clifton Springs's figures come from
Clifton Springs's 4th-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 Clifton Springs's dominant direct exposure actually means, with real examples from across the dataset.