Ford, KS
How exposed is Ford to wildfire?
Ford sits at the 65th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 204 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Ford at the 60th national percentile — 5 points below its risk-to-structures score, a gap driven by how much is actually built there.
Ford's building exposure, zone by zone
Most of Ford's buildings (78.4%) 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 Ford compares
There's little gap between Ford's 65th national percentile and its 60th percentile inside Kansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Ford ranks 11,059 for wildfire risk (1 is highest) and 24,693 by building count (1 is largest). Within Kansas alone, it ranks 293 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Ford
Ford's high rating (65th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
With ember exposure the dominant pattern in Ford (78.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Ford's figures come from
Every one of the two percentiles behind Ford's 11,059-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ford's dominant indirect exposure actually means, with real examples from across the dataset.