Norman, AR
Norman wildfire risk explained
USFS's Wildfire Risk to Communities model puts Norman at the 78th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 269 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Norman's burn probability — fire likelihood with no building count factored in — sits at the 80th percentile nationally.
Where Norman's buildings actually sit
Of Norman's 269 counted buildings, 65.4% 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.
How Norman compares
There's little gap between Norman's 78th national percentile and its 73rd percentile inside Arkansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Norman ranks 7,047 for wildfire risk (1 is highest) and 22,526 by building count (1 is largest). Within Arkansas alone, it ranks 168 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
Norman's 78th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
With 65.4% of Norman 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 Norman's figures come from
Norman's 78th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Norman's dominant direct exposure actually means, with real examples from across the dataset.