Mission Hills, KS
Mission Hills wildfire risk explained
Out of every US place USFS scores, Mission Hills lands at the 30th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 1,486 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mission Hills at the 33rd national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS classifies 59.9% of Mission Hills's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 40.1% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Mission Hills ranks
Inside Kansas, Mission Hills sits at just the 10th percentile even though it scores 30th 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, Mission Hills ranks 22,183 for wildfire risk (1 is highest) and 9,224 by building count (1 is largest). Within Kansas alone, it ranks 652 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
Mission Hills's moderate wildfire rating (30th 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.
What would actually reduce this score
Mission Hills's 59.9% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Mission Hills's figures come from
The methodology guide shows exactly how USFS turned 1,486 counted buildings into the percentiles shown above for Mission Hills. The exposure-zones guide covers what Mission Hills's dominant minimal exposure actually means, with real examples from across the dataset.