Severance, KS
Severance wildfire risk explained
Severance sits at the 45th 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 100 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Severance's burn probability — fire likelihood with no building count factored in — sits at the 45th percentile nationally.
Severance's building exposure, zone by zone
Only 13% of Severance's 100 buildings carry Direct exposure and 0% carry Indirect; the remaining 87% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Severance against the rest of the country
Inside Kansas, Severance sits at just the 21st percentile even though it scores 45th 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, Severance ranks 17,330 for wildfire risk (1 is highest) and 29,030 by building count (1 is largest). Within Kansas alone, it ranks 567 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Severance and the insurance market
Severance's elevated rating (45th 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
Severance's 87% 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 Severance's figures come from
Severance's 45th-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 Severance's dominant minimal exposure actually means, with real examples from across the dataset.