New London, NH
New London wildfire risk explained
Out of every US place USFS scores, New London lands at the 14th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 442 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts New London at the 14th percentile, close to its 14th-percentile risk score.
New London's building exposure, zone by zone
53.6% of New London's 442 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 46.4% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
New London against the rest of the country
There's little gap between New London's 14th national percentile and its 11th percentile inside New Hampshire, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, New London ranks 27,012 for wildfire risk (1 is highest) and 18,419 by building count (1 is largest). Within New Hampshire alone, it ranks 89 of 100 places by risk. See the full county-by-county picture for New Hampshire on its state page.
New London and the insurance market
At the 14th national percentile, New London 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
New London's 53.6% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where New London's figures come from
The methodology guide shows exactly how USFS turned 442 counted buildings into the percentiles shown above for New London. The exposure-zones guide covers what New London's dominant indirect exposure actually means, with real examples from across the dataset.