Ravenden, AR
Ravenden wildfire risk explained
Out of every US place USFS scores, Ravenden lands at the 74th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 333 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Ravenden's burn probability — fire likelihood with no building count factored in — sits at the 77th percentile nationally.
What "at risk" means for the buildings here
84.7% of Ravenden's 333 buildings sit in USFS's Direct exposure zone, roughly 282 structures close enough to burnable vegetation for flame contact, not just embers — 15.3% fall in the Indirect, ember-only zone and 0% are Minimal.
Ravenden against the rest of the country
Ravenden scores 74th nationally and 62nd within Arkansas — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Ravenden ranks 8,314 for wildfire risk (1 is highest) and 20,730 by building count (1 is largest). Within Arkansas alone, it ranks 236 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
Shopping for coverage in Ravenden
At the 74th percentile nationally, Ravenden 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
With 84.7% of Ravenden 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 Ravenden's figures come from
The methodology guide shows exactly how USFS turned 333 counted buildings into the percentiles shown above for Ravenden. The exposure-zones guide covers what Ravenden's dominant direct exposure actually means, with real examples from across the dataset.