Wolfeboro, NH
Wolfeboro wildfire risk explained
USFS scores Wolfeboro at the 15th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 2,325 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Wolfeboro at the 15th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Wolfeboro's building exposure, zone by zone
USFS classifies 71% of Wolfeboro's buildings as Direct exposure, higher than its 24.8% Indirect share and far above its 4.3% Minimal share — a profile where 1,650 structures sit close enough to vegetation that lot clearing matters most.
How Wolfeboro compares
Wolfeboro scores 15th nationally and 19th within New Hampshire — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Wolfeboro ranks 26,695 for wildfire risk (1 is highest) and 6,654 by building count (1 is largest). Within New Hampshire alone, it ranks 82 of 100 places by risk. See the full county-by-county picture for New Hampshire on its state page.
Wolfeboro and the insurance market
At the 15th national percentile, Wolfeboro rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With 71% of Wolfeboro 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 Wolfeboro's figures come from
Wolfeboro's 15th-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 Wolfeboro's dominant direct exposure actually means, with real examples from across the dataset.