WildfireRiskFinder

Sallisaw, OK

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

Very High
97thpercentile nationally

Sallisaw's 4,551 buildings earn a 97th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Sallisaw's burn probability — fire likelihood with no building count factored in — sits at the 98th percentile nationally.

What "at risk" means for the buildings here

4,551Total buildings
35.3%Direct exposure
55.5%Indirect exposure
9.3%Minimal exposure

USFS puts 55.5% of Sallisaw's 4,551 buildings in the Indirect exposure zone, versus 35.3% Direct and 9.3% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

How Sallisaw compares

Sallisaw scores 97th nationally and 89th within Oklahoma — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Sallisaw ranks 1,106 for wildfire risk (1 is highest) and 3,750 by building count (1 is largest). Within Oklahoma alone, it ranks 88 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

At the 97th percentile nationally, Sallisaw 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

Because 55.5% of Sallisaw's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Sallisaw's figures come from

The methodology guide shows exactly how USFS turned 4,551 counted buildings into the percentiles shown above for Sallisaw. The exposure-zones guide covers what Sallisaw's dominant indirect exposure actually means, with real examples from across the dataset.