New Melle, MO
New Melle, MO's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, New Melle lands at the 60th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 367 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts New Melle at the 61st percentile, close to its 60th-percentile risk score.
New Melle's building exposure, zone by zone
Of New Melle's 367 counted buildings, 78.2% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How New Melle compares
New Melle's risk sits at a similar level relative to Missouri (54th percentile statewide) as it does nationally (60th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, New Melle ranks 12,737 for wildfire risk (1 is highest) and 19,925 by building count (1 is largest). Within Missouri alone, it ranks 488 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Shopping for coverage in New Melle
New Melle's elevated rating (60th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 78.2% of New Melle 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 New Melle's figures come from
Every one of the two percentiles behind New Melle's 12,737-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Melle's dominant direct exposure actually means, with real examples from across the dataset.