Eupora, MS
Eupora, MS's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Eupora lands at the 64th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 1,117 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Eupora's burn probability — fire likelihood with no building count factored in — sits at the 66th percentile nationally.
Eupora's building exposure, zone by zone
65.4% of Eupora's 1,117 buildings sit in USFS's Direct exposure zone, roughly 730 structures close enough to burnable vegetation for flame contact, not just embers — 34.6% fall in the Indirect, ember-only zone and 0.1% are Minimal.
Where Eupora ranks
Inside Mississippi, Eupora sits at just the 43rd percentile even though it scores 64th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Eupora ranks 11,224 for wildfire risk (1 is highest) and 11,169 by building count (1 is largest). Within Mississippi alone, it ranks 240 of 420 places by risk. See the full county-by-county picture for Mississippi on its state page.
What this risk score means for insurance
At the 64th percentile nationally, Eupora 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 Eupora
Eupora's 65.4% 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 Eupora's figures come from
Eupora's 64th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Eupora's dominant direct exposure actually means, with real examples from across the dataset.