Fallsburg, NY
Fallsburg wildfire risk explained
USFS scores Fallsburg at the 33rd national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 1,041 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Fallsburg at the 33rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Fallsburg's building exposure, zone by zone
USFS classifies 60.6% of Fallsburg's buildings as Direct exposure, higher than its 39.2% Indirect share and far above its 0.2% Minimal share — a profile where 631 structures sit close enough to vegetation that lot clearing matters most.
Fallsburg against the rest of the country
Within New York, Fallsburg ranks higher (71st percentile) than it does nationally (33rd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Fallsburg ranks 21,179 for wildfire risk (1 is highest) and 11,648 by building count (1 is largest). Within New York alone, it ranks 376 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Fallsburg
Fallsburg's moderate wildfire rating (33rd 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.
What would actually reduce this score
Because Direct exposure dominates in Fallsburg (60.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Fallsburg's figures come from
Fallsburg's 33rd-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 Fallsburg's dominant direct exposure actually means, with real examples from across the dataset.