Beulah, MS
Beulah, MS's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Beulah lands at the 32nd percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 187 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Beulah at the 33rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
50.8% of Beulah's 187 buildings sit in USFS's Direct exposure zone, roughly 95 structures close enough to burnable vegetation for flame contact, not just embers — 49.2% fall in the Indirect, ember-only zone and 0% are Minimal.
Beulah against the rest of the country
Beulah ranks lower within Mississippi (11th percentile statewide) than its 32nd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Beulah ranks 21,394 for wildfire risk (1 is highest) and 25,353 by building count (1 is largest). Within Mississippi alone, it ranks 376 of 420 places by risk. See the full county-by-county picture for Mississippi on its state page.
Beulah and the insurance market
At the 32nd national percentile, Beulah rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With 50.8% of Beulah in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Beulah's figures come from
Beulah's 32nd-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 Beulah's dominant direct exposure actually means, with real examples from across the dataset.