Duncan, SC
Duncan wildfire risk explained
USFS scores Duncan at the 55th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 1,764 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Duncan at the 58th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Duncan's building exposure, zone by zone
USFS classifies 54.5% of Duncan's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 44.4% Direct and 1.1% Indirect — a landscape-level risk rather than a building-by-building one.
How Duncan compares
Inside South Carolina, Duncan sits at just the 9th percentile even though it scores 55th 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, Duncan ranks 14,257 for wildfire risk (1 is highest) and 8,181 by building count (1 is largest). Within South Carolina alone, it ranks 431 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Duncan and the insurance market
At the 55th national percentile, Duncan rates elevated 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
Duncan's 54.5% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Duncan's figures come from
Every one of the two percentiles behind Duncan's 14,257-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Duncan's dominant minimal exposure actually means, with real examples from across the dataset.