Yale, KS
Yale wildfire risk explained
Out of every US place USFS scores, Yale lands at the 64th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 95 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Yale at the 64th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Yale's building exposure, zone by zone
Of Yale's 95 counted buildings, 100% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Yale against the rest of the country
There's little gap between Yale's 64th national percentile and its 58th percentile inside Kansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Yale ranks 11,473 for wildfire risk (1 is highest) and 29,265 by building count (1 is largest). Within Kansas alone, it ranks 302 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Yale
Yale's 64th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
Yale's 100% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Yale's figures come from
Every one of the two percentiles behind Yale's 11,473-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Yale's dominant direct exposure actually means, with real examples from across the dataset.