Smoot, WY
Smoot wildfire risk explained
Smoot sits at the 88th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 320 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Smoot at the 87th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Smoot's building exposure, zone by zone
97.2% of Smoot's 320 buildings sit in USFS's Direct exposure zone, roughly 311 structures close enough to burnable vegetation for flame contact, not just embers — 2.8% fall in the Indirect, ember-only zone and 0% are Minimal.
How Smoot compares
There's little gap between Smoot's 88th national percentile and its 85th percentile inside Wyoming, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Smoot ranks 3,672 for wildfire risk (1 is highest) and 21,107 by building count (1 is largest). Within Wyoming alone, it ranks 29 of 192 places by risk. See the full county-by-county picture for Wyoming on its state page.
Smoot and the insurance market
At the 88th percentile nationally, Smoot carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Smoot
Because Direct exposure dominates in Smoot (97.2%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Smoot's figures come from
Every one of the two percentiles behind Smoot's 3,672-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Smoot's dominant direct exposure actually means, with real examples from across the dataset.