Jeffersonville, NY
Jeffersonville wildfire risk explained
USFS scores Jeffersonville at the 39th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 235 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Jeffersonville's burn probability — fire likelihood with no building count factored in — sits at the 41st percentile nationally.
Jeffersonville's building exposure, zone by zone
Of Jeffersonville's 235 counted buildings, 57.9% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Jeffersonville ranks
Within New York, Jeffersonville ranks higher (83rd percentile) than it does nationally (39th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Jeffersonville ranks 19,194 for wildfire risk (1 is highest) and 23,636 by building count (1 is largest). Within New York alone, it ranks 220 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Jeffersonville
Jeffersonville's moderate wildfire rating (39th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Jeffersonville's 57.9% 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 Jeffersonville's figures come from
The methodology guide shows exactly how USFS turned 235 counted buildings into the percentiles shown above for Jeffersonville. The exposure-zones guide covers what Jeffersonville's dominant direct exposure actually means, with real examples from across the dataset.