Calhoun, MO
Calhoun wildfire risk explained
Calhoun sits at the 71st percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 311 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Calhoun at the 73rd national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Calhoun's building exposure, zone by zone
Of Calhoun's 311 counted buildings, 55% 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.
Calhoun against the rest of the country
Calhoun scores 71st nationally and 84th within Missouri — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Calhoun ranks 9,113 for wildfire risk (1 is highest) and 21,343 by building count (1 is largest). Within Missouri alone, it ranks 172 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Calhoun and the insurance market
At the 71st percentile nationally, Calhoun 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 Calhoun
Calhoun's 55% 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 Calhoun's figures come from
Every one of the two percentiles behind Calhoun's 9,113-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Calhoun's dominant direct exposure actually means, with real examples from across the dataset.