Bache, OK
Bache, OK's wildfire risk, in USFS's own numbers
USFS scores Bache at the 98th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 91 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Bache's burn probability — fire likelihood with no building count factored in — sits at the 99th percentile nationally.
What "at risk" means for the buildings here
USFS classifies 93.4% of Bache's buildings as Direct exposure, higher than its 6.6% Indirect share and far above its 0% Minimal share — a profile where 85 structures sit close enough to vegetation that lot clearing matters most.
Bache against the rest of the country
Bache's risk sits at a similar level relative to Oklahoma (99th percentile statewide) as it does nationally (98th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Bache ranks 545 for wildfire risk (1 is highest) and 29,466 by building count (1 is largest). Within Oklahoma alone, it ranks 9 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
Bache's 98th-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
With 93.4% of Bache in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Bache's figures come from
The methodology guide shows exactly how USFS turned 91 counted buildings into the percentiles shown above for Bache. The exposure-zones guide covers what Bache's dominant direct exposure actually means, with real examples from across the dataset.