WildfireRiskFinder

Lingle, WY

Lingle wildfire risk explained

High
60thpercentile nationally

Lingle's 303 buildings earn a 60th-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.)

Fire likelihood alone (USFS's burn-probability figure) ranks Lingle at the 58th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.

Lingle's building exposure, zone by zone

303Total buildings
5.3%Direct exposure
94.7%Indirect exposure
0%Minimal exposure

USFS puts 94.7% of Lingle's 303 buildings in the Indirect exposure zone, versus 5.3% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

Lingle against the rest of the country

Lingle ranks lower within Wyoming (17th percentile statewide) than its 60th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Lingle ranks 12,592 for wildfire risk (1 is highest) and 21,562 by building count (1 is largest). Within Wyoming alone, it ranks 160 of 192 places by risk. See the full county-by-county picture for Wyoming on its state page.

Shopping for coverage in Lingle

Lingle's high rating (60th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

Hardening a home in Lingle

With ember exposure the dominant pattern in Lingle (94.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Lingle's figures come from

Every one of the two percentiles behind Lingle's 12,592-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lingle's dominant indirect exposure actually means, with real examples from across the dataset.