Batesville, MS
How exposed is Batesville to wildfire?
USFS's Wildfire Risk to Communities model puts Batesville at the 73rd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 4,091 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Batesville's burn probability — fire likelihood with no building count factored in — sits at the 76th percentile nationally.
Batesville's building exposure, zone by zone
USFS puts 53.1% of Batesville's 4,091 buildings in the Indirect exposure zone, versus 36% Direct and 10.9% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Batesville against the rest of the country
There's little gap between Batesville's 73rd national percentile and its 67th percentile inside Mississippi, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Batesville ranks 8,413 for wildfire risk (1 is highest) and 4,150 by building count (1 is largest). Within Mississippi alone, it ranks 139 of 420 places by risk. See the full county-by-county picture for Mississippi on its state page.
Shopping for coverage in Batesville
At the 73rd percentile nationally, Batesville 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
Because 53.1% of Batesville's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Batesville's figures come from
The methodology guide shows exactly how USFS turned 4,091 counted buildings into the percentiles shown above for Batesville. The exposure-zones guide covers what Batesville's dominant indirect exposure actually means, with real examples from across the dataset.