Baileyville, KS
Baileyville, KS's wildfire risk, in USFS's own numbers
Baileyville sits at the 50th 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 168 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Baileyville at the 48th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
Baileyville's building exposure, zone by zone
73.2% of Baileyville's 168 buildings sit in USFS's Minimal exposure zone, with only 26.8% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Baileyville compares
Inside Kansas, Baileyville sits at just the 32nd percentile even though it scores 50th 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, Baileyville ranks 15,751 for wildfire risk (1 is highest) and 26,095 by building count (1 is largest). Within Kansas alone, it ranks 491 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Baileyville
Baileyville's elevated rating (50th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Baileyville's 73.2% 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 Baileyville's figures come from
The methodology guide shows exactly how USFS turned 168 counted buildings into the percentiles shown above for Baileyville. The exposure-zones guide covers what Baileyville's dominant minimal exposure actually means, with real examples from across the dataset.