Dibble, OK
Dibble wildfire risk explained
Dibble sits at the 91st 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 530 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Dibble's burn probability — fire likelihood with no building count factored in — sits at the 92nd percentile nationally.
Dibble's building exposure, zone by zone
USFS classifies 92.6% of Dibble's buildings as Direct exposure, higher than its 7.4% Indirect share and far above its 0% Minimal share — a profile where 491 structures sit close enough to vegetation that lot clearing matters most.
How Dibble compares
Inside Oklahoma, Dibble sits at just the 54th 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, Dibble ranks 2,778 for wildfire risk (1 is highest) and 16,869 by building count (1 is largest). Within Oklahoma alone, it ranks 389 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Dibble
At the 91st percentile nationally, Dibble carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
With 92.6% of Dibble 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 Dibble's figures come from
Every one of the two percentiles behind Dibble's 2,778-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dibble's dominant direct exposure actually means, with real examples from across the dataset.