Stantonsburg, NC
Stantonsburg wildfire risk explained
USFS's Wildfire Risk to Communities model puts Stantonsburg at the 40th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 506 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 Stantonsburg at the 39th percentile, close to its 40th-percentile risk score.
Where Stantonsburg's buildings actually sit
USFS puts 65.2% of Stantonsburg's 506 buildings in the Indirect exposure zone, versus 34.8% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Stantonsburg compares
Inside North Carolina, Stantonsburg sits at just the 15th percentile even though it scores 40th 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, Stantonsburg ranks 19,012 for wildfire risk (1 is highest) and 17,245 by building count (1 is largest). Within North Carolina alone, it ranks 657 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 40th national percentile, Stantonsburg rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Because 65.2% of Stantonsburg'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 Stantonsburg's figures come from
Every one of the two percentiles behind Stantonsburg's 19,012-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Stantonsburg's dominant indirect exposure actually means, with real examples from across the dataset.