WildfireRiskFinder

Moro, AR

Moro, AR's wildfire risk, in USFS's own numbers

Low
15thpercentile nationally

USFS scores Moro at the 15th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 162 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Moro at the 15th percentile, close to its 15th-percentile risk score.

Where Moro's buildings actually sit

162Total buildings
28.4%Direct exposure
0%Indirect exposure
71.6%Minimal exposure

USFS classifies 71.6% of Moro's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 28.4% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

Where Moro ranks

Moro's risk sits at a similar level relative to Arkansas (8th percentile statewide) as it does nationally (15th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Moro ranks 26,652 for wildfire risk (1 is highest) and 26,318 by building count (1 is largest). Within Arkansas alone, it ranks 567 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

Moro's low wildfire rating (15th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.

What would actually reduce this score

Moro's 71.6% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Moro's figures come from

The methodology guide shows exactly how USFS turned 162 counted buildings into the percentiles shown above for Moro. The exposure-zones guide covers what Moro's dominant minimal exposure actually means, with real examples from across the dataset.