McComb, MS
McComb, MS's wildfire risk, in USFS's own numbers
McComb's 6,084 buildings earn a 79th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks McComb at the 82nd national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where McComb's buildings actually sit
6,084 buildings are counted in McComb, and 66.7% of them are Indirect exposure — ember-driven risk rather than the 30.8% in Direct exposure or the 2.5% rated Minimal. At 6,084 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
McComb against the rest of the country
McComb scores 79th nationally and 79th within Mississippi — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, McComb ranks 6,590 for wildfire risk (1 is highest) and 2,845 by building count (1 is largest). Within Mississippi alone, it ranks 90 of 420 places by risk. See the full county-by-county picture for Mississippi on its state page.
Shopping for coverage in McComb
McComb's high rating (79th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in McComb (66.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where McComb's figures come from
McComb's 79th-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 McComb's dominant indirect exposure actually means, with real examples from across the dataset.