Pinehurst, ID
Pinehurst wildfire risk explained
Out of every US place USFS scores, Pinehurst lands at the 75th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 1,098 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 Pinehurst at the 67th percentile, close to its 75th-percentile risk score.
Pinehurst's building exposure, zone by zone
Most of Pinehurst's buildings (88.4%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Pinehurst ranks
Inside Idaho, Pinehurst sits at just the 41st percentile even though it scores 75th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Pinehurst ranks 7,940 for wildfire risk (1 is highest) and 11,286 by building count (1 is largest). Within Idaho alone, it ranks 137 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.
Pinehurst and the insurance market
Pinehurst's high rating (75th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in Pinehurst
Because 88.4% of Pinehurst'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 Pinehurst's figures come from
Every one of the two percentiles behind Pinehurst's 7,940-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Pinehurst's dominant indirect exposure actually means, with real examples from across the dataset.