Cayuga Heights, NY
Cayuga Heights wildfire risk explained
Cayuga Heights sits at the 8th 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 1,111 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Cayuga Heights's burn probability — fire likelihood with no building count factored in — sits at the 8th percentile nationally.
Where Cayuga Heights's buildings actually sit
Direct exposure dominates in Cayuga Heights: 62% of its 1,111 buildings, versus 0.6% Indirect and 37.4% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Cayuga Heights ranks
Cayuga Heights's risk sits at a similar level relative to New York (16th percentile statewide) as it does nationally (8th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Cayuga Heights ranks 29,102 for wildfire risk (1 is highest) and 11,213 by building count (1 is largest). Within New York alone, it ranks 1,080 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Cayuga Heights
At the 8th national percentile, Cayuga Heights rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Cayuga Heights
Cayuga Heights's 62% 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 Cayuga Heights's figures come from
The methodology guide shows exactly how USFS turned 1,111 counted buildings into the percentiles shown above for Cayuga Heights. The exposure-zones guide covers what Cayuga Heights's dominant direct exposure actually means, with real examples from across the dataset.