Carrollton, MS
Carrollton wildfire risk explained
USFS's Wildfire Risk to Communities model puts Carrollton at the 68th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 191 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Carrollton's burn probability — fire likelihood with no building count factored in — sits at the 70th percentile nationally.
Carrollton's building exposure, zone by zone
USFS classifies 83.8% of Carrollton's buildings as Direct exposure, higher than its 16.2% Indirect share and far above its 0% Minimal share — a profile where 160 structures sit close enough to vegetation that lot clearing matters most.
Carrollton against the rest of the country
Carrollton ranks lower within Mississippi (52nd percentile statewide) than its 68th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Carrollton ranks 9,993 for wildfire risk (1 is highest) and 25,205 by building count (1 is largest). Within Mississippi alone, it ranks 203 of 420 places by risk. See the full county-by-county picture for Mississippi on its state page.
Carrollton and the insurance market
Carrollton's 68th-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
Because Direct exposure dominates in Carrollton (83.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Carrollton's figures come from
Every one of the two percentiles behind Carrollton's 9,993-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Carrollton's dominant direct exposure actually means, with real examples from across the dataset.