Ellisville, MO
Ellisville, MO's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Ellisville at the 45th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 3,523 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Ellisville's burn probability — fire likelihood with no building count factored in — sits at the 46th percentile nationally.
What "at risk" means for the buildings here
Most of Ellisville's buildings (56.1% of 3,523) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
How Ellisville compares
Ellisville's 45th national percentile looks worse in isolation than its 23rd ranking inside Missouri does — this place is on the milder end for its own state, by 21 points. Among the 31,521 US communities USFS scores, Ellisville ranks 17,486 for wildfire risk (1 is highest) and 4,744 by building count (1 is largest). Within Missouri alone, it ranks 817 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
Ellisville's elevated wildfire rating (45th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Even with 56.1% of Ellisville 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 Ellisville's figures come from
Every one of the two percentiles behind Ellisville's 17,486-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ellisville's dominant minimal exposure actually means, with real examples from across the dataset.