Mounds, OK
How exposed is Mounds to wildfire?
Mounds sits at the 92nd percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 688 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Mounds's burn probability — fire likelihood with no building count factored in — sits at the 94th percentile nationally.
Where Mounds's buildings actually sit
Most of Mounds's buildings (54.8%) 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 Mounds compares
Mounds ranks lower within Oklahoma (58th percentile statewide) than its 92nd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Mounds ranks 2,497 for wildfire risk (1 is highest) and 14,781 by building count (1 is largest). Within Oklahoma alone, it ranks 350 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Mounds
Mounds's very high rating (92nd 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 Mounds
Mounds's 54.8% 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 Mounds's figures come from
Every one of the two percentiles behind Mounds's 2,497-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Mounds's dominant indirect exposure actually means, with real examples from across the dataset.