Duncan, NE
How exposed is Duncan to wildfire?
USFS's Wildfire Risk to Communities model puts Duncan at the 54th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 266 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Duncan's burn probability — fire likelihood with no building count factored in — sits at the 48th percentile nationally.
What "at risk" means for the buildings here
Most of Duncan's buildings (90.2%) 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.
How Duncan compares
There's little gap between Duncan's 54th national percentile and its 41st percentile inside Nebraska, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Duncan ranks 14,377 for wildfire risk (1 is highest) and 22,635 by building count (1 is largest). Within Nebraska alone, it ranks 343 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Shopping for coverage in Duncan
Duncan's elevated wildfire rating (54th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Duncan
Duncan's 90.2% 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 Duncan's figures come from
Every one of the two percentiles behind Duncan's 14,377-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 indirect exposure actually means, with real examples from across the dataset.