Queen City, MO
Queen City wildfire risk explained
Out of every US place USFS scores, Queen City lands at the 67th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 474 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Queen City at the 69th percentile, close to its 67th-percentile risk score.
What "at risk" means for the buildings here
474 buildings are counted in Queen City, and 83.5% of them are Indirect exposure — ember-driven risk rather than the 16.5% in Direct exposure or the 0% rated Minimal.
Where Queen City ranks
There's little gap between Queen City's 67th national percentile and its 75th percentile inside Missouri, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Queen City ranks 10,272 for wildfire risk (1 is highest) and 17,816 by building count (1 is largest). Within Missouri alone, it ranks 263 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
What this risk score means for insurance
Queen City's 67th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
Because 83.5% of Queen City's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Queen City's figures come from
Queen City's 67th-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 Queen City's dominant indirect exposure actually means, with real examples from across the dataset.