McBride, OK
How exposed is McBride to wildfire?
USFS scores McBride at the 68th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 151 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, McBride's burn probability — fire likelihood with no building count factored in — sits at the 69th percentile nationally.
Where McBride's buildings actually sit
USFS classifies 60.3% of McBride's buildings as Direct exposure, higher than its 39.7% Indirect share and far above its 0% Minimal share — a profile where 91 structures sit close enough to vegetation that lot clearing matters most.
How McBride compares
McBride ranks lower within Oklahoma (10th percentile statewide) than its 68th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, McBride ranks 10,030 for wildfire risk (1 is highest) and 26,857 by building count (1 is largest). Within Oklahoma alone, it ranks 748 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
McBride's 68th-percentile, 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
McBride's 60.3% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where McBride's figures come from
The methodology guide shows exactly how USFS turned 151 counted buildings into the percentiles shown above for McBride. The exposure-zones guide covers what McBride's dominant direct exposure actually means, with real examples from across the dataset.