WildfireRiskFinder

Blair, OK

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

High
75thpercentile nationally

Blair's 589 buildings earn a 75th-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, Blair's burn probability — fire likelihood with no building count factored in — sits at the 69th percentile nationally.

What "at risk" means for the buildings here

589Total buildings
9.7%Direct exposure
0%Indirect exposure
90.3%Minimal exposure

Only 9.7% of Blair's 589 buildings carry Direct exposure and 0% carry Indirect; the remaining 90.3% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.

Blair against the rest of the country

Inside Oklahoma, Blair sits at just the 14th percentile even though it scores 75th 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, Blair ranks 8,045 for wildfire risk (1 is highest) and 15,984 by building count (1 is largest). Within Oklahoma alone, it ranks 718 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

Blair's high rating (75th 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

Blair's 90.3% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Blair's figures come from

Blair's 75th-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 Blair's dominant minimal exposure actually means, with real examples from across the dataset.