Edgerton, MO
Edgerton wildfire risk explained
Edgerton sits at the 63rd percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 368 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Edgerton at the 64th percentile, close to its 63rd-percentile risk score.
What "at risk" means for the buildings here
368 buildings are counted in Edgerton, and 60.9% of them are Indirect exposure — ember-driven risk rather than the 39.1% in Direct exposure or the 0% rated Minimal.
How Edgerton compares
Edgerton's risk sits at a similar level relative to Missouri (64th percentile statewide) as it does nationally (63rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Edgerton ranks 11,633 for wildfire risk (1 is highest) and 19,907 by building count (1 is largest). Within Missouri alone, it ranks 387 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 63rd percentile nationally, Edgerton 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 60.9% of Edgerton'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 Edgerton's figures come from
Edgerton's 63rd-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 Edgerton's dominant indirect exposure actually means, with real examples from across the dataset.