Pinardville, NH
Pinardville wildfire risk explained
Out of every US place USFS scores, Pinardville lands at the 27th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 1,692 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 Pinardville at the 23rd percentile, close to its 27th-percentile risk score.
Where Pinardville's buildings actually sit
67.8% of Pinardville's 1,692 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 9.2% Direct and 23% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Pinardville compares
Within New Hampshire, Pinardville ranks higher (88th percentile) than it does nationally (27th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Pinardville ranks 22,887 for wildfire risk (1 is highest) and 8,450 by building count (1 is largest). Within New Hampshire alone, it ranks 13 of 100 places by risk. See the full county-by-county picture for New Hampshire on its state page.
Pinardville and the insurance market
At the 27th national percentile, Pinardville rates moderate 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
Because 67.8% of Pinardville's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Pinardville's figures come from
Every one of the two percentiles behind Pinardville's 22,887-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Pinardville's dominant indirect exposure actually means, with real examples from across the dataset.