Voorheesville, NY
How exposed is Voorheesville to wildfire?
USFS's Wildfire Risk to Communities model puts Voorheesville at the 20th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 1,234 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Voorheesville's burn probability — fire likelihood with no building count factored in — sits at the 19th percentile nationally.
Where Voorheesville's buildings actually sit
USFS classifies 60.2% of Voorheesville's buildings as Direct exposure, higher than its 39.8% Indirect share and far above its 0% Minimal share — a profile where 743 structures sit close enough to vegetation that lot clearing matters most.
Where Voorheesville ranks
Compare Voorheesville's two percentiles: 45th within New York, only 20th nationally — a gap of 25 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Voorheesville ranks 25,126 for wildfire risk (1 is highest) and 10,445 by building count (1 is largest). Within New York alone, it ranks 707 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Voorheesville and the insurance market
At the 20th national percentile, Voorheesville rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Voorheesville's 60.2% 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 Voorheesville's figures come from
Voorheesville's 20th-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 Voorheesville's dominant direct exposure actually means, with real examples from across the dataset.