Grainfield, KS
Grainfield wildfire risk explained
USFS scores Grainfield at the 44th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 339 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Grainfield at the 41st percentile, close to its 44th-percentile risk score.
Grainfield's building exposure, zone by zone
Indirect exposure is dominant in Grainfield (82.6% of 339 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 17.4% sit in the Direct zone.
Grainfield against the rest of the country
Grainfield ranks lower within Kansas (20th percentile statewide) than its 44th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Grainfield ranks 17,706 for wildfire risk (1 is highest) and 20,593 by building count (1 is largest). Within Kansas alone, it ranks 577 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
Grainfield'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 Grainfield
Grainfield's 82.6% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Grainfield's figures come from
Grainfield's 44th-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 Grainfield's dominant indirect exposure actually means, with real examples from across the dataset.