Kings Grant, NC
Kings Grant wildfire risk explained
USFS's Wildfire Risk to Communities model puts Kings Grant at the 57th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 4,160 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 Kings Grant at the 56th percentile, close to its 57th-percentile risk score.
Kings Grant's building exposure, zone by zone
45.3% of Kings Grant's 4,160 buildings sit in USFS's Minimal exposure zone, with only 36.5% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Kings Grant compares
Kings Grant's risk sits at a similar level relative to North Carolina (55th percentile statewide) as it does nationally (57th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Kings Grant ranks 13,433 for wildfire risk (1 is highest) and 4,094 by building count (1 is largest). Within North Carolina alone, it ranks 346 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Kings Grant and the insurance market
At the 57th national percentile, Kings Grant rates elevated 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
With 45.3% of buildings rated Minimal exposure, Kings Grant gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Kings Grant's figures come from
Every one of the two percentiles behind Kings Grant's 13,433-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Kings Grant's dominant minimal exposure actually means, with real examples from across the dataset.