Whiting, WY
How exposed is Whiting to wildfire?
Whiting's 114 buildings earn a 69th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Whiting at the 67th percentile, close to its 69th-percentile risk score.
Where Whiting's buildings actually sit
Of Whiting's 114 counted buildings, 96.5% carry Direct exposure and only 0.9% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Whiting compares
Inside Wyoming, Whiting sits at just the 27th percentile even though it scores 69th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Whiting ranks 9,787 for wildfire risk (1 is highest) and 28,485 by building count (1 is largest). Within Wyoming alone, it ranks 140 of 192 places by risk. See the full county-by-county picture for Wyoming on its state page.
Whiting and the insurance market
Whiting's 69th-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
Whiting's 96.5% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Whiting's figures come from
Every one of the two percentiles behind Whiting's 9,787-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Whiting's dominant direct exposure actually means, with real examples from across the dataset.