Flint Hill, MO
Flint Hill wildfire risk explained
USFS's Wildfire Risk to Communities model puts Flint Hill at the 50th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 378 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Flint Hill's burn probability — fire likelihood with no building count factored in — sits at the 53rd percentile nationally.
Flint Hill's building exposure, zone by zone
Of Flint Hill's 378 counted buildings, 67.7% carry Direct exposure and only 1.3% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Flint Hill ranks
Inside Missouri, Flint Hill sits at just the 34th percentile even though it scores 50th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Flint Hill ranks 15,633 for wildfire risk (1 is highest) and 19,692 by building count (1 is largest). Within Missouri alone, it ranks 706 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
Flint Hill's elevated wildfire rating (50th 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.
Lowering exposure, not just insuring around it
With 67.7% of Flint Hill in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Flint Hill's figures come from
The methodology guide shows exactly how USFS turned 378 counted buildings into the percentiles shown above for Flint Hill. The exposure-zones guide covers what Flint Hill's dominant direct exposure actually means, with real examples from across the dataset.