Appleton City, MO
Appleton City wildfire risk explained
Out of every US place USFS scores, Appleton City lands at the 63rd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 842 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Appleton City's burn probability — fire likelihood with no building count factored in — sits at the 64th percentile nationally.
What "at risk" means for the buildings here
USFS classifies 45.6% of Appleton City's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 35.5% Direct and 18.9% Indirect — a landscape-level risk rather than a building-by-building one.
Where Appleton City ranks
Appleton City's risk sits at a similar level relative to Missouri (64th percentile statewide) as it does nationally (63rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Appleton City ranks 11,630 for wildfire risk (1 is highest) and 13,233 by building count (1 is largest). Within Missouri alone, it ranks 384 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Appleton City and the insurance market
Appleton City's high rating (63rd 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.
Hardening a home in Appleton City
With 45.6% of buildings rated Minimal exposure, Appleton City gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Appleton City's figures come from
Appleton City's 63rd-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 Appleton City's dominant minimal exposure actually means, with real examples from across the dataset.