New Seabury, MA
How exposed is New Seabury to wildfire?
New Seabury sits at the 26th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 1,942 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, New Seabury's burn probability — fire likelihood with no building count factored in — sits at the 18th percentile nationally.
New Seabury's building exposure, zone by zone
New Seabury rates 74.3% Minimal exposure against just 25.8% Direct and 0% Indirect — of 1,942 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
New Seabury against the rest of the country
Compare New Seabury's two percentiles: 51st within Massachusetts, only 26th nationally — a gap of 25 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, New Seabury ranks 23,257 for wildfire risk (1 is highest) and 7,639 by building count (1 is largest). Within Massachusetts alone, it ranks 119 of 248 places by risk. See the full county-by-county picture for Massachusetts on its state page.
What this risk score means for insurance
At the 26th national percentile, New Seabury rates moderate 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 New Seabury
With 74.3% of buildings rated Minimal exposure, New Seabury gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where New Seabury's figures come from
The methodology guide shows exactly how USFS turned 1,942 counted buildings into the percentiles shown above for New Seabury. The exposure-zones guide covers what New Seabury's dominant minimal exposure actually means, with real examples from across the dataset.