Lebanon, OK
How exposed is Lebanon to wildfire?
USFS's Wildfire Risk to Communities model puts Lebanon at the 83rd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 314 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 Lebanon at the 83rd percentile, close to its 83rd-percentile risk score.
Lebanon's building exposure, zone by zone
314 buildings are counted in Lebanon, and 83.8% 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 Lebanon compares
Lebanon's 83rd national percentile looks worse in isolation than its 26th ranking inside Oklahoma does — this place is on the milder end for its own state, by 56 points. Among the 31,521 US communities USFS scores, Lebanon ranks 5,522 for wildfire risk (1 is highest) and 21,260 by building count (1 is largest). Within Oklahoma alone, it ranks 614 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Lebanon
Lebanon's 83rd-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.
Hardening a home in Lebanon
Lebanon's 83.8% 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 Lebanon's figures come from
Every one of the two percentiles behind Lebanon's 5,522-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lebanon's dominant direct exposure actually means, with real examples from across the dataset.