Bolivar, MS
Bolivar, MS's wildfire risk, in USFS's own numbers
USFS scores Bolivar at the 40th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 43 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Bolivar's burn probability — fire likelihood with no building count factored in — sits at the 41st percentile nationally.
Bolivar's building exposure, zone by zone
76.7% of Bolivar's 43 buildings sit in USFS's Direct exposure zone, roughly 33 structures close enough to burnable vegetation for flame contact, not just embers — 23.3% fall in the Indirect, ember-only zone and 0% are Minimal.
Bolivar against the rest of the country
Bolivar's 40th national percentile looks worse in isolation than its 14th ranking inside Mississippi does — this place is on the milder end for its own state, by 26 points. Among the 31,521 US communities USFS scores, Bolivar ranks 18,969 for wildfire risk (1 is highest) and 31,102 by building count (1 is largest). Within Mississippi alone, it ranks 360 of 420 places by risk. See the full county-by-county picture for Mississippi on its state page.
Shopping for coverage in Bolivar
Bolivar's moderate wildfire rating (40th 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
Bolivar's 76.7% 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 Bolivar's figures come from
Every one of the two percentiles behind Bolivar's 18,969-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Bolivar's dominant direct exposure actually means, with real examples from across the dataset.