North Westminster, VT
North Westminster wildfire risk explained
USFS scores North Westminster at the 15th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 154 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, North Westminster'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
Direct exposure dominates in North Westminster: 77.9% of its 154 buildings, versus 22.1% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where North Westminster ranks
Compare North Westminster's two percentiles: 44th within Vermont, only 15th nationally — a gap of 29 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, North Westminster ranks 26,769 for wildfire risk (1 is highest) and 26,728 by building count (1 is largest). Within Vermont alone, it ranks 102 of 179 places by risk. See the full county-by-county picture for Vermont on its state page.
What this risk score means for insurance
North Westminster's low rating (15th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in North Westminster
With 77.9% of North Westminster in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where North Westminster's figures come from
The methodology guide shows exactly how USFS turned 154 counted buildings into the percentiles shown above for North Westminster. The exposure-zones guide covers what North Westminster's dominant direct exposure actually means, with real examples from across the dataset.