Sedgwick, KS
Sedgwick wildfire risk explained
USFS scores Sedgwick at the 21st national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 888 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 Sedgwick at the 18th percentile, close to its 21st-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 93% of Sedgwick's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 7% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Sedgwick against the rest of the country
Inside Kansas, Sedgwick sits at just the 4th percentile even though it scores 21st 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, Sedgwick ranks 24,804 for wildfire risk (1 is highest) and 12,833 by building count (1 is largest). Within Kansas alone, it ranks 696 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Sedgwick and the insurance market
Sedgwick's moderate wildfire rating (21st 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 Sedgwick
Even with 93% of Sedgwick outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Sedgwick's figures come from
Every one of the two percentiles behind Sedgwick's 24,804-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Sedgwick's dominant minimal exposure actually means, with real examples from across the dataset.