Dermott, AR
Dermott, AR's wildfire risk, in USFS's own numbers
USFS scores Dermott at the 27th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 1,477 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Dermott at the 27th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Most of Dermott's buildings (55.7%) 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.
Where Dermott ranks
Dermott's risk sits at a similar level relative to Arkansas (13th percentile statewide) as it does nationally (27th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Dermott ranks 23,028 for wildfire risk (1 is highest) and 9,269 by building count (1 is largest). Within Arkansas alone, it ranks 536 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
What this risk score means for insurance
At the 27th national percentile, Dermott 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
With ember exposure the dominant pattern in Dermott (55.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Dermott's figures come from
Dermott's 27th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Dermott's dominant indirect exposure actually means, with real examples from across the dataset.