Haileyville, OK
Haileyville wildfire risk explained
USFS's Wildfire Risk to Communities model puts Haileyville at the 97th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 642 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Haileyville's burn probability — fire likelihood with no building count factored in — sits at the 99th percentile nationally.
What "at risk" means for the buildings here
USFS puts 54.7% of Haileyville's 642 buildings in the Indirect exposure zone, versus 45.3% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Haileyville against the rest of the country
Haileyville's risk sits at a similar level relative to Oklahoma (94th percentile statewide) as it does nationally (97th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Haileyville ranks 951 for wildfire risk (1 is highest) and 15,301 by building count (1 is largest). Within Oklahoma alone, it ranks 52 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Haileyville and the insurance market
At the 97th percentile nationally, Haileyville 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.
Hardening a home in Haileyville
Because 54.7% of Haileyville'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 Haileyville's figures come from
Every one of the two percentiles behind Haileyville's 951-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Haileyville's dominant indirect exposure actually means, with real examples from across the dataset.