Mount Moriah, MO
How exposed is Mount Moriah to wildfire?
USFS's Wildfire Risk to Communities model puts Mount Moriah at the 59th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 135 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 Mount Moriah at the 60th percentile, close to its 59th-percentile risk score.
Where Mount Moriah's buildings actually sit
57% of Mount Moriah's 135 buildings sit in USFS's Direct exposure zone, roughly 77 structures close enough to burnable vegetation for flame contact, not just embers — 0% fall in the Indirect, ember-only zone and 43% are Minimal.
Where Mount Moriah ranks
Mount Moriah scores 59th nationally and 51st within Missouri — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Mount Moriah ranks 13,048 for wildfire risk (1 is highest) and 27,498 by building count (1 is largest). Within Missouri alone, it ranks 517 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Shopping for coverage in Mount Moriah
Mount Moriah's elevated rating (59th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Mount Moriah
With 57% of Mount Moriah 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 Mount Moriah's figures come from
Every one of the two percentiles behind Mount Moriah's 13,048-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Mount Moriah's dominant direct exposure actually means, with real examples from across the dataset.