Bradley, OK
Bradley, OK's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Bradley lands at the 88th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 126 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Bradley at the 87th percentile, close to its 88th-percentile risk score.
Where Bradley's buildings actually sit
72.2% of Bradley's 126 buildings sit in USFS's Direct exposure zone, roughly 91 structures close enough to burnable vegetation for flame contact, not just embers — 27.8% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Bradley ranks
Inside Oklahoma, Bradley sits at just the 39th percentile even though it scores 88th 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, Bradley ranks 3,882 for wildfire risk (1 is highest) and 27,913 by building count (1 is largest). Within Oklahoma alone, it ranks 507 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
Bradley's very high rating (88th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
Bradley's 72.2% 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 Bradley's figures come from
Every one of the two percentiles behind Bradley's 3,882-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Bradley's dominant direct exposure actually means, with real examples from across the dataset.