Rhineland, MO
Rhineland, MO's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Rhineland at the 56th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 109 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Rhineland at the 59th percentile, close to its 56th-percentile risk score.
Rhineland's building exposure, zone by zone
59.6% of Rhineland's 109 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 40.4% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Rhineland compares
There's little gap between Rhineland's 56th national percentile and its 45th percentile inside Missouri, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Rhineland ranks 13,774 for wildfire risk (1 is highest) and 28,663 by building count (1 is largest). Within Missouri alone, it ranks 582 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 56th national percentile, Rhineland rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Because 59.6% of Rhineland's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Rhineland's figures come from
Every one of the two percentiles behind Rhineland's 13,774-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Rhineland's dominant indirect exposure actually means, with real examples from across the dataset.