Hunter, MO
Hunter, MO's wildfire risk, in USFS's own numbers
Hunter sits at the 72nd 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 134 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 Hunter at the 75th percentile, close to its 72nd-percentile risk score.
Where Hunter's buildings actually sit
95.5% of Hunter's 134 buildings sit in USFS's Direct exposure zone, roughly 128 structures close enough to burnable vegetation for flame contact, not just embers — 4.5% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Hunter ranks
There's little gap between Hunter's 72nd national percentile and its 86th percentile inside Missouri, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Hunter ranks 8,793 for wildfire risk (1 is highest) and 27,546 by building count (1 is largest). Within Missouri alone, it ranks 153 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Shopping for coverage in Hunter
Hunter's high rating (72nd 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 95.5% of Hunter 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 Hunter's figures come from
Hunter's 72nd-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 Hunter's dominant direct exposure actually means, with real examples from across the dataset.