Ellisburg, NY
How exposed is Ellisburg to wildfire?
Ellisburg sits at the 5th 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 167 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Ellisburg at the 5th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Ellisburg's building exposure, zone by zone
USFS classifies 74.3% of Ellisburg's buildings as Direct exposure, higher than its 25.8% Indirect share and far above its 0% Minimal share — a profile where 124 structures sit close enough to vegetation that lot clearing matters most.
Where Ellisburg ranks
Ellisburg scores 5th nationally and 4th within New York — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Ellisburg ranks 30,047 for wildfire risk (1 is highest) and 26,144 by building count (1 is largest). Within New York alone, it ranks 1,235 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Ellisburg
Ellisburg's low wildfire rating (5th 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
Because Direct exposure dominates in Ellisburg (74.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Ellisburg's figures come from
Every one of the two percentiles behind Ellisburg's 30,047-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ellisburg's dominant direct exposure actually means, with real examples from across the dataset.