Aullville, MO
Aullville wildfire risk explained
Aullville sits at the 43rd percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 82 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Aullville's burn probability — fire likelihood with no building count factored in — sits at the 44th percentile nationally.
Aullville's building exposure, zone by zone
USFS classifies 54.9% of Aullville's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 45.1% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Aullville ranks
Aullville ranks lower within Missouri (18th percentile statewide) than its 43rd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Aullville ranks 18,028 for wildfire risk (1 is highest) and 29,808 by building count (1 is largest). Within Missouri alone, it ranks 867 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
At the 43rd national percentile, Aullville 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
Even with 54.9% of Aullville outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Aullville's figures come from
The methodology guide shows exactly how USFS turned 82 counted buildings into the percentiles shown above for Aullville. The exposure-zones guide covers what Aullville's dominant minimal exposure actually means, with real examples from across the dataset.