New Boston, NH
How exposed is New Boston to wildfire?
New Boston sits at the 28th 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 163 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks New Boston at the 26th national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Of New Boston's 163 counted buildings, 58.3% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
New Boston against the rest of the country
Within New Hampshire, New Boston ranks higher (90th percentile) than it does nationally (28th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, New Boston ranks 22,541 for wildfire risk (1 is highest) and 26,290 by building count (1 is largest). Within New Hampshire alone, it ranks 11 of 100 places by risk. See the full county-by-county picture for New Hampshire on its state page.
New Boston and the insurance market
New Boston's moderate rating (28th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Because Direct exposure dominates in New Boston (58.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where New Boston's figures come from
Every one of the two percentiles behind New Boston's 22,541-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Boston's dominant direct exposure actually means, with real examples from across the dataset.