Leeds, NY
How exposed is Leeds to wildfire?
Leeds sits at the 36th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 323 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Leeds's burn probability — fire likelihood with no building count factored in — sits at the 34th percentile nationally.
Where Leeds's buildings actually sit
USFS classifies 86.4% of Leeds's buildings as Direct exposure, higher than its 13.6% Indirect share and far above its 0% Minimal share — a profile where 279 structures sit close enough to vegetation that lot clearing matters most.
Where Leeds ranks
Leeds's 77th-percentile standing inside New York outpaces its 36th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Leeds ranks 20,332 for wildfire risk (1 is highest) and 21,013 by building count (1 is largest). Within New York alone, it ranks 301 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Leeds
Leeds's moderate rating (36th 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
With 86.4% of Leeds 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 Leeds's figures come from
Every one of the two percentiles behind Leeds's 20,332-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Leeds's dominant direct exposure actually means, with real examples from across the dataset.