Addington, OK
Addington wildfire risk explained
USFS scores Addington at the 93rd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 126 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Addington at the 94th percentile, close to its 93rd-percentile risk score.
Addington's building exposure, zone by zone
126 buildings are counted in Addington, and 59.5% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
How Addington compares
Inside Oklahoma, Addington sits at just the 67th percentile even though it scores 93rd 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, Addington ranks 2,107 for wildfire risk (1 is highest) and 27,912 by building count (1 is largest). Within Oklahoma alone, it ranks 272 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Addington
At the 93rd percentile nationally, Addington 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.
Lowering exposure, not just insuring around it
Addington's 59.5% 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 Addington's figures come from
Addington'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 Addington's dominant direct exposure actually means, with real examples from across the dataset.