WildfireRiskFinder

Farson, WY

Farson wildfire risk explained

Elevated
53rdpercentile nationally

USFS's Wildfire Risk to Communities model puts Farson at the 53rd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 329 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Farson's burn probability — fire likelihood with no building count factored in — sits at the 49th percentile nationally.

What "at risk" means for the buildings here

329Total buildings
92.1%Direct exposure
7.9%Indirect exposure
0%Minimal exposure

Direct exposure dominates in Farson: 92.1% of its 329 buildings, versus 7.9% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

Where Farson ranks

Inside Wyoming, Farson sits at just the 9th percentile even though it scores 53rd 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, Farson ranks 14,957 for wildfire risk (1 is highest) and 20,865 by building count (1 is largest). Within Wyoming alone, it ranks 174 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

Farson's elevated rating (53rd 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

Because Direct exposure dominates in Farson (92.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Farson's figures come from

The methodology guide shows exactly how USFS turned 329 counted buildings into the percentiles shown above for Farson. The exposure-zones guide covers what Farson's dominant direct exposure actually means, with real examples from across the dataset.