Longford, KS
Longford, KS's wildfire risk, in USFS's own numbers
USFS scores Longford at the 88th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 103 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Longford at the 84th national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
Longford's building exposure, zone by zone
USFS puts 67% of Longford's 103 buildings in the Indirect exposure zone, versus 33% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Longford ranks
Longford's risk sits at a similar level relative to Kansas (89th percentile statewide) as it does nationally (88th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Longford ranks 3,651 for wildfire risk (1 is highest) and 28,891 by building count (1 is largest). Within Kansas alone, it ranks 82 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Longford and the insurance market
Longford's 88th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
Because 67% of Longford's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Longford's figures come from
Every one of the two percentiles behind Longford's 3,651-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Longford's dominant indirect exposure actually means, with real examples from across the dataset.