De Queen, AR
How exposed is De Queen to wildfire?
De Queen sits at the 69th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 2,575 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks De Queen at the 72nd national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
64.9% of De Queen's 2,575 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 35% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
De Queen against the rest of the country
De Queen ranks lower within Arkansas (54th percentile statewide) than its 69th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, De Queen ranks 9,919 for wildfire risk (1 is highest) and 6,148 by building count (1 is largest). Within Arkansas alone, it ranks 286 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
De Queen and the insurance market
De Queen's high rating (69th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in De Queen
With ember exposure the dominant pattern in De Queen (64.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where De Queen's figures come from
The methodology guide shows exactly how USFS turned 2,575 counted buildings into the percentiles shown above for De Queen. The exposure-zones guide covers what De Queen's dominant indirect exposure actually means, with real examples from across the dataset.