Atwood, OK
Atwood, OK's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Atwood at the 93rd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 99 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Atwood at the 95th percentile, close to its 93rd-percentile risk score.
Where Atwood's buildings actually sit
USFS classifies 85.9% of Atwood's buildings as Direct exposure, higher than its 14.1% Indirect share and far above its 0% Minimal share — a profile where 85 structures sit close enough to vegetation that lot clearing matters most.
How Atwood compares
Atwood ranks lower within Oklahoma (65th percentile statewide) than its 93rd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Atwood ranks 2,211 for wildfire risk (1 is highest) and 29,096 by building count (1 is largest). Within Oklahoma alone, it ranks 289 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
Atwood's 93rd-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
Because Direct exposure dominates in Atwood (85.9%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Atwood's figures come from
Atwood's 93rd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Atwood's dominant direct exposure actually means, with real examples from across the dataset.