Lyman, WY
Lyman, WY's wildfire risk, in USFS's own numbers
USFS scores Lyman at the 67th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 1,099 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Lyman at the 66th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Lyman's building exposure, zone by zone
1,099 buildings are counted in Lyman, and 68.9% of them are Indirect exposure — ember-driven risk rather than the 31.1% in Direct exposure or the 0% rated Minimal.
Where Lyman ranks
Inside Wyoming, Lyman sits at just the 25th percentile even though it scores 67th 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, Lyman ranks 10,323 for wildfire risk (1 is highest) and 11,284 by building count (1 is largest). Within Wyoming alone, it ranks 144 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
Lyman's 67th-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
Lyman's 68.9% 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 Lyman's figures come from
Lyman's 67th-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 Lyman's dominant indirect exposure actually means, with real examples from across the dataset.