Doe Run, MO
Doe Run, MO's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Doe Run lands at the 65th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 609 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Doe Run's burn probability — fire likelihood with no building count factored in — sits at the 67th percentile nationally.
What "at risk" means for the buildings here
Direct exposure dominates in Doe Run: 78.8% of its 609 buildings, versus 21.2% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Doe Run ranks
Doe Run's risk sits at a similar level relative to Missouri (71st percentile statewide) as it does nationally (65th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Doe Run ranks 10,904 for wildfire risk (1 is highest) and 15,703 by building count (1 is largest). Within Missouri alone, it ranks 313 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Doe Run and the insurance market
At the 65th percentile nationally, Doe Run carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
Doe Run's 78.8% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Doe Run's figures come from
Every one of the two percentiles behind Doe Run's 10,904-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Doe Run's dominant direct exposure actually means, with real examples from across the dataset.