Okolona, AR
Okolona, AR's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Okolona lands at the 63rd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 160 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Okolona at the 65th percentile, close to its 63rd-percentile risk score.
Where Okolona's buildings actually sit
Direct exposure dominates in Okolona: 96.9% of its 160 buildings, versus 3.1% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Okolona against the rest of the country
Okolona ranks lower within Arkansas (46th percentile statewide) than its 63rd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Okolona ranks 11,806 for wildfire risk (1 is highest) and 26,419 by building count (1 is largest). Within Arkansas alone, it ranks 330 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
What this risk score means for insurance
At the 63rd percentile nationally, Okolona carries the 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
Okolona's 96.9% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Okolona's figures come from
The methodology guide shows exactly how USFS turned 160 counted buildings into the percentiles shown above for Okolona. The exposure-zones guide covers what Okolona's dominant direct exposure actually means, with real examples from across the dataset.