South Londonderry, VT
How exposed is South Londonderry to wildfire?
USFS's Wildfire Risk to Communities model puts South Londonderry at the 16th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 124 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, South Londonderry's burn probability — fire likelihood with no building count factored in — sits at the 16th percentile nationally.
What "at risk" means for the buildings here
124 buildings are counted in South Londonderry, and 67.7% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where South Londonderry ranks
Compare South Londonderry's two percentiles: 51st within Vermont, only 16th nationally — a gap of 35 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, South Londonderry ranks 26,586 for wildfire risk (1 is highest) and 28,009 by building count (1 is largest). Within Vermont alone, it ranks 88 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
South Londonderry's low rating (16th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 67.7% of South Londonderry 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 South Londonderry's figures come from
The methodology guide shows exactly how USFS turned 124 counted buildings into the percentiles shown above for South Londonderry. The exposure-zones guide covers what South Londonderry's dominant direct exposure actually means, with real examples from across the dataset.