Kitty Hawk, NC
Kitty Hawk, NC's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Kitty Hawk at the 83rd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 3,042 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Kitty Hawk at the 78th percentile, close to its 83rd-percentile risk score.
What "at risk" means for the buildings here
Indirect exposure is dominant in Kitty Hawk (55.9% of 3,042 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 40.5% sit in the Direct zone.
Where Kitty Hawk ranks
Kitty Hawk scores 83rd nationally and 92nd within North Carolina — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Kitty Hawk ranks 5,238 for wildfire risk (1 is highest) and 5,368 by building count (1 is largest). Within North Carolina alone, it ranks 66 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
What this risk score means for insurance
At the 83rd percentile nationally, Kitty Hawk carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Kitty Hawk
Kitty Hawk's 55.9% 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 Kitty Hawk's figures come from
The methodology guide shows exactly how USFS turned 3,042 counted buildings into the percentiles shown above for Kitty Hawk. The exposure-zones guide covers what Kitty Hawk's dominant indirect exposure actually means, with real examples from across the dataset.