Mountain View, AR
How exposed is Mountain View to wildfire?
USFS's Wildfire Risk to Communities model puts Mountain View at the 78th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 2,223 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Mountain View's burn probability — fire likelihood with no building count factored in — sits at the 80th percentile nationally.
Mountain View's building exposure, zone by zone
Of Mountain View's 2,223 counted buildings, 56.7% 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 Mountain View ranks
Mountain View scores 78th nationally and 74th 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, Mountain View ranks 6,955 for wildfire risk (1 is highest) and 6,878 by building count (1 is largest). Within Arkansas alone, it ranks 163 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 78th percentile nationally, Mountain View 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.
Hardening a home in Mountain View
Mountain View's 56.7% 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 Mountain View's figures come from
Every one of the two percentiles behind Mountain View's 6,955-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Mountain View's dominant direct exposure actually means, with real examples from across the dataset.