Beauregard, MS
How exposed is Beauregard to wildfire?
USFS scores Beauregard at the 79th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 166 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Beauregard's burn probability — fire likelihood with no building count factored in — sits at the 82nd percentile nationally.
Beauregard's building exposure, zone by zone
USFS classifies 98.8% of Beauregard's buildings as Direct exposure, higher than its 1.2% Indirect share and far above its 0% Minimal share — a profile where 164 structures sit close enough to vegetation that lot clearing matters most.
Where Beauregard ranks
Beauregard scores 79th nationally and 79th within Mississippi — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Beauregard ranks 6,589 for wildfire risk (1 is highest) and 26,174 by building count (1 is largest). Within Mississippi alone, it ranks 89 of 420 places by risk. See the full county-by-county picture for Mississippi on its state page.
Beauregard and the insurance market
Beauregard's 79th-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.
Hardening a home in Beauregard
Beauregard's 98.8% 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 Beauregard's figures come from
The methodology guide shows exactly how USFS turned 166 counted buildings into the percentiles shown above for Beauregard. The exposure-zones guide covers what Beauregard's dominant direct exposure actually means, with real examples from across the dataset.