Liberal, MO
Liberal wildfire risk explained
USFS's Wildfire Risk to Communities model puts Liberal at the 56th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 598 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Liberal's burn probability — fire likelihood with no building count factored in — sits at the 56th percentile nationally.
Where Liberal's buildings actually sit
Only 42.3% of Liberal's 598 buildings carry Direct exposure and 0% carry Indirect; the remaining 57.7% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Liberal compares
Liberal's risk sits at a similar level relative to Missouri (43rd percentile statewide) as it does nationally (56th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Liberal ranks 14,032 for wildfire risk (1 is highest) and 15,863 by building count (1 is largest). Within Missouri alone, it ranks 605 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Liberal and the insurance market
Liberal's elevated wildfire rating (56th 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
Even with 57.7% of Liberal 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 Liberal's figures come from
Every one of the two percentiles behind Liberal's 14,032-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Liberal's dominant minimal exposure actually means, with real examples from across the dataset.