Longdale, OK
Longdale, OK's wildfire risk, in USFS's own numbers
USFS scores Longdale at the 83rd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 268 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Longdale's burn probability — fire likelihood with no building count factored in — sits at the 82nd percentile nationally.
What "at risk" means for the buildings here
Most of Longdale's buildings (90.3%) 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 Longdale compares
Longdale ranks lower within Oklahoma (27th percentile statewide) than its 83rd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Longdale ranks 5,393 for wildfire risk (1 is highest) and 22,581 by building count (1 is largest). Within Oklahoma alone, it ranks 605 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Longdale and the insurance market
Longdale's very high rating (83rd 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.
What would actually reduce this score
Longdale's 90.3% 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 Longdale's figures come from
Longdale's 83rd-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 Longdale's dominant indirect exposure actually means, with real examples from across the dataset.