Gove City, KS
Gove City, KS's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Gove City at the 55th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 123 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 Gove City at the 53rd percentile, close to its 55th-percentile risk score.
Where Gove City's buildings actually sit
Most of Gove City's buildings (67.5%) 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.
Gove City against the rest of the country
There's little gap between Gove City's 55th national percentile and its 42nd percentile inside Kansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Gove City ranks 14,182 for wildfire risk (1 is highest) and 28,020 by building count (1 is largest). Within Kansas alone, it ranks 417 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Gove City and the insurance market
Gove City's elevated rating (55th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Gove City
Gove City's 67.5% 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 Gove City's figures come from
Gove City's 55th-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 Gove City's dominant indirect exposure actually means, with real examples from across the dataset.