Ringling, OK
Ringling, OK's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Ringling at the 91st national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 797 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Ringling's burn probability — fire likelihood with no building count factored in — sits at the 91st percentile nationally.
Ringling's building exposure, zone by zone
USFS puts 89.8% of Ringling's 797 buildings in the Indirect exposure zone, versus 10.2% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Ringling compares
Ringling's 91st national percentile looks worse in isolation than its 52nd ranking inside Oklahoma does — this place is on the milder end for its own state, by 39 points. Among the 31,521 US communities USFS scores, Ringling ranks 2,869 for wildfire risk (1 is highest) and 13,663 by building count (1 is largest). Within Oklahoma alone, it ranks 401 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Ringling and the insurance market
Ringling's 91st-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 Ringling
With ember exposure the dominant pattern in Ringling (89.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Ringling's figures come from
Every one of the two percentiles behind Ringling's 2,869-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ringling's dominant indirect exposure actually means, with real examples from across the dataset.