Furley, KS
How exposed is Furley to wildfire?
Furley sits at the 62nd 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 69 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Furley's burn probability — fire likelihood with no building count factored in — sits at the 53rd percentile nationally.
Where Furley's buildings actually sit
Furley rates 68.1% Minimal exposure against just 31.9% Direct and 0% Indirect — of 69 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Furley against the rest of the country
Furley's risk sits at a similar level relative to Kansas (56th percentile statewide) as it does nationally (62nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Furley ranks 11,975 for wildfire risk (1 is highest) and 30,306 by building count (1 is largest). Within Kansas alone, it ranks 319 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
Furley's 62nd-percentile, 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.
What would actually reduce this score
Furley's 68.1% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Furley's figures come from
Every one of the two percentiles behind Furley's 11,975-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Furley's dominant minimal exposure actually means, with real examples from across the dataset.