Tishomingo, OK
Tishomingo wildfire risk explained
USFS scores Tishomingo at the 86th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 1,809 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Tishomingo's burn probability — fire likelihood with no building count factored in — sits at the 87th percentile nationally.
Tishomingo's building exposure, zone by zone
Of Tishomingo's 1,809 counted buildings, 57.6% 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.
Where Tishomingo ranks
Inside Oklahoma, Tishomingo sits at just the 33rd percentile even though it scores 86th 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, Tishomingo ranks 4,546 for wildfire risk (1 is highest) and 8,036 by building count (1 is largest). Within Oklahoma alone, it ranks 561 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Tishomingo
Tishomingo's 86th-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.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Tishomingo (57.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Tishomingo's figures come from
The methodology guide shows exactly how USFS turned 1,809 counted buildings into the percentiles shown above for Tishomingo. The exposure-zones guide covers what Tishomingo's dominant direct exposure actually means, with real examples from across the dataset.