Sugden, OK
Sugden, OK's wildfire risk, in USFS's own numbers
Sugden's 48 buildings earn a 91st-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Sugden at the 91st national percentile — 0 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
Of Sugden's 48 counted buildings, 97.9% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Sugden compares
Inside Oklahoma, Sugden sits at just the 51st percentile even though it scores 91st nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Sugden ranks 2,935 for wildfire risk (1 is highest) and 30,985 by building count (1 is largest). Within Oklahoma alone, it ranks 411 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
What this risk score means for insurance
Sugden's 91st-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
Because Direct exposure dominates in Sugden (97.9%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Sugden's figures come from
Every one of the two percentiles behind Sugden's 2,935-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Sugden's dominant direct exposure actually means, with real examples from across the dataset.