Massena, NY
Massena, NY's wildfire risk, in USFS's own numbers
Massena sits at the 13th 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 5,149 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Massena's burn probability — fire likelihood with no building count factored in — sits at the 14th percentile nationally.
What "at risk" means for the buildings here
Most of Massena's buildings (44.7% of 5,149) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure. At 5,149 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Where Massena ranks
Compare Massena's two percentiles: 33rd within New York, only 13th nationally — a gap of 19 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Massena ranks 27,305 for wildfire risk (1 is highest) and 3,348 by building count (1 is largest). Within New York alone, it ranks 870 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Massena and the insurance market
At the 13th national percentile, Massena rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Massena
With 44.7% of buildings rated Minimal exposure, Massena gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Massena's figures come from
The methodology guide shows exactly how USFS turned 5,149 counted buildings into the percentiles shown above for Massena. The exposure-zones guide covers what Massena's dominant minimal exposure actually means, with real examples from across the dataset.