WildfireRiskFinder

Ochelata, OK

Ochelata wildfire risk explained

Very High
95thpercentile nationally

Ochelata's 294 buildings earn a 95th-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.)

Fire likelihood alone (USFS's burn-probability figure) ranks Ochelata at the 96th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.

What "at risk" means for the buildings here

294Total buildings
51%Direct exposure
49%Indirect exposure
0%Minimal exposure

Of Ochelata's 294 counted buildings, 51% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.

Ochelata against the rest of the country

Ochelata ranks lower within Oklahoma (79th percentile statewide) than its 95th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Ochelata ranks 1,583 for wildfire risk (1 is highest) and 21,800 by building count (1 is largest). Within Oklahoma alone, it ranks 175 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.

Shopping for coverage in Ochelata

At the 95th percentile nationally, Ochelata 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 Ochelata

Because Direct exposure dominates in Ochelata (51%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Ochelata's figures come from

The methodology guide shows exactly how USFS turned 294 counted buildings into the percentiles shown above for Ochelata. The exposure-zones guide covers what Ochelata's dominant direct exposure actually means, with real examples from across the dataset.