Savonburg, KS
Savonburg, KS's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Savonburg lands at the 61st percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 70 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Savonburg at the 61st percentile, close to its 61st-percentile risk score.
Where Savonburg's buildings actually sit
70 buildings are counted in Savonburg, and 88.6% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 1.4% rated Minimal.
Where Savonburg ranks
Savonburg scores 61st nationally and 54th within Kansas — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Savonburg ranks 12,286 for wildfire risk (1 is highest) and 30,278 by building count (1 is largest). Within Kansas alone, it ranks 333 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Savonburg
At the 61st percentile nationally, Savonburg carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
With 88.6% of Savonburg in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Savonburg's figures come from
The methodology guide shows exactly how USFS turned 70 counted buildings into the percentiles shown above for Savonburg. The exposure-zones guide covers what Savonburg's dominant direct exposure actually means, with real examples from across the dataset.