WildfireRiskFinder

Idabel, OK

Idabel, OK's wildfire risk, in USFS's own numbers

High
77thpercentile nationally

Idabel's 3,962 buildings earn a 77th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Idabel's burn probability — fire likelihood with no building count factored in — sits at the 80th percentile nationally.

Idabel's building exposure, zone by zone

3,962Total buildings
36.9%Direct exposure
63.1%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Idabel (63.1% of 3,962 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 36.9% sit in the Direct zone.

Idabel against the rest of the country

Idabel ranks lower within Oklahoma (16th percentile statewide) than its 77th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Idabel ranks 7,160 for wildfire risk (1 is highest) and 4,279 by building count (1 is largest). Within Oklahoma alone, it ranks 701 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

Idabel's high rating (77th 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

With ember exposure the dominant pattern in Idabel (63.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Idabel's figures come from

Every one of the two percentiles behind Idabel's 7,160-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Idabel's dominant indirect exposure actually means, with real examples from across the dataset.