WildfireRiskFinder

Como, MS

Como, MS's wildfire risk, in USFS's own numbers

High
77thpercentile nationally

USFS scores Como at the 77th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 631 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Como at the 80th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.

Where Como's buildings actually sit

631Total buildings
58.2%Direct exposure
41.8%Indirect exposure
0%Minimal exposure

Of Como's 631 counted buildings, 58.2% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.

How Como compares

Como scores 77th nationally and 75th 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, Como ranks 7,217 for wildfire risk (1 is highest) and 15,446 by building count (1 is largest). Within Mississippi alone, it ranks 103 of 420 places by risk. See the full county-by-county picture for Mississippi on its state page.

Shopping for coverage in Como

Como's high rating (77th 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.

What would actually reduce this score

Como's 58.2% 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 Como's figures come from

Como's 77th-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 Como's dominant direct exposure actually means, with real examples from across the dataset.