Olmitz, KS
Olmitz, KS's wildfire risk, in USFS's own numbers
Olmitz sits at the 44th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 135 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 Olmitz at the 40th percentile, close to its 44th-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 80.7% of Olmitz's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 19.3% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Olmitz against the rest of the country
Inside Kansas, Olmitz sits at just the 19th percentile even though it scores 44th 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, Olmitz ranks 17,797 for wildfire risk (1 is highest) and 27,492 by building count (1 is largest). Within Kansas alone, it ranks 581 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
What this risk score means for insurance
Olmitz's elevated wildfire rating (44th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Olmitz
With 80.7% of buildings rated Minimal exposure, Olmitz gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Olmitz's figures come from
The methodology guide shows exactly how USFS turned 135 counted buildings into the percentiles shown above for Olmitz. The exposure-zones guide covers what Olmitz's dominant minimal exposure actually means, with real examples from across the dataset.