Hulett, WY
How exposed is Hulett to wildfire?
USFS scores Hulett at the 69th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 307 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Hulett's burn probability — fire likelihood with no building count factored in — sits at the 68th percentile nationally.
What "at risk" means for the buildings here
307 buildings are counted in Hulett, and 64.5% of them are Indirect exposure — ember-driven risk rather than the 35.5% in Direct exposure or the 0% rated Minimal.
Where Hulett ranks
Inside Wyoming, Hulett 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, Hulett ranks 9,882 for wildfire risk (1 is highest) and 21,457 by building count (1 is largest). Within Wyoming alone, it ranks 141 of 192 places by risk. See the full county-by-county picture for Wyoming on its state page.
What this risk score means for insurance
Hulett'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.
Lowering exposure, not just insuring around it
Hulett's 64.5% 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 Hulett's figures come from
Hulett's 69th-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 Hulett's dominant indirect exposure actually means, with real examples from across the dataset.