Mehan, OK
Mehan, OK's wildfire risk, in USFS's own numbers
Mehan sits at the 92nd percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 28 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Mehan at the 93rd percentile, close to its 92nd-percentile risk score.
Where Mehan's buildings actually sit
Of Mehan's 28 counted buildings, 64.3% 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.
Where Mehan ranks
Mehan ranks lower within Oklahoma (56th percentile statewide) than its 92nd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Mehan ranks 2,621 for wildfire risk (1 is highest) and 31,382 by building count (1 is largest). Within Oklahoma alone, it ranks 371 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 92nd percentile nationally, Mehan 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.
What would actually reduce this score
With 64.3% of Mehan in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Mehan's figures come from
The methodology guide shows exactly how USFS turned 28 counted buildings into the percentiles shown above for Mehan. The exposure-zones guide covers what Mehan's dominant direct exposure actually means, with real examples from across the dataset.