Victoria, KS
Victoria, KS's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Victoria at the 49th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 812 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Victoria at the 47th percentile, close to its 49th-percentile risk score.
What "at risk" means for the buildings here
Most of Victoria's buildings (48.4%) 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 Victoria compares
Victoria ranks lower within Kansas (31st percentile statewide) than its 49th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Victoria ranks 15,943 for wildfire risk (1 is highest) and 13,535 by building count (1 is largest). Within Kansas alone, it ranks 501 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
Victoria's elevated rating (49th 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
Victoria's 48.4% 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 Victoria's figures come from
The methodology guide shows exactly how USFS turned 812 counted buildings into the percentiles shown above for Victoria. The exposure-zones guide covers what Victoria's dominant indirect exposure actually means, with real examples from across the dataset.