Elizabeth, MS
Elizabeth, MS's wildfire risk, in USFS's own numbers
Elizabeth sits at the 10th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 103 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Elizabeth at the 10th percentile, close to its 10th-percentile risk score.
Elizabeth's building exposure, zone by zone
USFS classifies 70.9% of Elizabeth's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 29.1% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Elizabeth against the rest of the country
There's little gap between Elizabeth's 10th national percentile and its 2nd percentile inside Mississippi, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Elizabeth ranks 28,240 for wildfire risk (1 is highest) and 28,903 by building count (1 is largest). Within Mississippi alone, it ranks 412 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
Elizabeth's low rating (10th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Elizabeth
Elizabeth's 70.9% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Elizabeth's figures come from
Elizabeth's 10th-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 Elizabeth's dominant minimal exposure actually means, with real examples from across the dataset.