Sanbornville, NH
Sanbornville wildfire risk explained
Out of every US place USFS scores, Sanbornville lands at the 20th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 543 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Sanbornville's burn probability — fire likelihood with no building count factored in — sits at the 19th percentile nationally.
Where Sanbornville's buildings actually sit
USFS classifies 59.7% of Sanbornville's buildings as Direct exposure, higher than its 36.7% Indirect share and far above its 3.7% Minimal share — a profile where 324 structures sit close enough to vegetation that lot clearing matters most.
How Sanbornville compares
Compare Sanbornville's two percentiles: 64th within New Hampshire, only 20th nationally — a gap of 44 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Sanbornville ranks 25,373 for wildfire risk (1 is highest) and 16,672 by building count (1 is largest). Within New Hampshire alone, it ranks 37 of 100 places by risk. See the full county-by-county picture for New Hampshire on its state page.
Sanbornville and the insurance market
At the 20th national percentile, Sanbornville rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With 59.7% of Sanbornville 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 Sanbornville's figures come from
Sanbornville's 20th-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 Sanbornville's dominant direct exposure actually means, with real examples from across the dataset.