Deerfield, KS
Deerfield wildfire risk explained
Out of every US place USFS scores, Deerfield lands at the 40th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 399 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Deerfield's burn probability — fire likelihood with no building count factored in — sits at the 37th percentile nationally.
Where Deerfield's buildings actually sit
Most of Deerfield's buildings (85.2%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Deerfield compares
Inside Kansas, Deerfield sits at just the 17th percentile even though it scores 40th 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, Deerfield ranks 18,779 for wildfire risk (1 is highest) and 19,226 by building count (1 is largest). Within Kansas alone, it ranks 599 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Deerfield and the insurance market
Deerfield's elevated wildfire rating (40th 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
Because 85.2% of Deerfield's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Deerfield's figures come from
The methodology guide shows exactly how USFS turned 399 counted buildings into the percentiles shown above for Deerfield. The exposure-zones guide covers what Deerfield's dominant indirect exposure actually means, with real examples from across the dataset.