Rawlins, WY
How exposed is Rawlins to wildfire?
Rawlins sits at the 59th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 4,784 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Rawlins's burn probability — fire likelihood with no building count factored in — sits at the 50th percentile nationally.
Rawlins's building exposure, zone by zone
92.8% of Rawlins's 4,784 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 7.2% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Rawlins against the rest of the country
Inside Wyoming, Rawlins sits at just the 16th percentile even though it scores 59th 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, Rawlins ranks 13,003 for wildfire risk (1 is highest) and 3,565 by building count (1 is largest). Within Wyoming alone, it ranks 163 of 192 places by risk. See the full county-by-county picture for Wyoming on its state page.
Rawlins and the insurance market
Rawlins's elevated rating (59th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Rawlins's 92.8% 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 Rawlins's figures come from
The methodology guide shows exactly how USFS turned 4,784 counted buildings into the percentiles shown above for Rawlins. The exposure-zones guide covers what Rawlins's dominant indirect exposure actually means, with real examples from across the dataset.