Gunn City, MO
Gunn City, MO's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Gunn City at the 47th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 71 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Gunn City at the 47th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Gunn City's buildings actually sit
Indirect exposure is dominant in Gunn City (59.2% of 71 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 40.9% sit in the Direct zone.
Gunn City against the rest of the country
Gunn City ranks lower within Missouri (26th percentile statewide) than its 47th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Gunn City ranks 16,864 for wildfire risk (1 is highest) and 30,245 by building count (1 is largest). Within Missouri alone, it ranks 787 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Gunn City and the insurance market
At the 47th national percentile, Gunn City rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Gunn City's 59.2% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Gunn City's figures come from
Gunn City's 47th-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 Gunn City's dominant indirect exposure actually means, with real examples from across the dataset.