Everton, MO
Everton wildfire risk explained
Out of every US place USFS scores, Everton lands at the 70th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 252 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Everton at the 71st national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Everton's building exposure, zone by zone
Indirect exposure is dominant in Everton (67.9% of 252 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 32.1% sit in the Direct zone.
How Everton compares
There's little gap between Everton's 70th national percentile and its 81st percentile inside Missouri, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Everton ranks 9,614 for wildfire risk (1 is highest) and 23,079 by building count (1 is largest). Within Missouri alone, it ranks 200 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Everton and the insurance market
At the 70th percentile nationally, Everton carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
Because 67.9% of Everton'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 Everton's figures come from
Everton's 70th-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 Everton's dominant indirect exposure actually means, with real examples from across the dataset.