Millersville, MO
How exposed is Millersville to wildfire?
Millersville's 217 buildings earn a 48th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Millersville at the 51st percentile, close to its 48th-percentile risk score.
What "at risk" means for the buildings here
Of Millersville's 217 counted buildings, 84.8% 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.
Millersville against the rest of the country
Inside Missouri, Millersville sits at just the 30th percentile even though it scores 48th 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, Millersville ranks 16,264 for wildfire risk (1 is highest) and 24,236 by building count (1 is largest). Within Missouri alone, it ranks 749 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Millersville and the insurance market
At the 48th national percentile, Millersville 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
With 84.8% of Millersville 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 Millersville's figures come from
Millersville's 48th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Millersville's dominant direct exposure actually means, with real examples from across the dataset.