Worland, WY
How exposed is Worland to wildfire?
Worland sits at the 56th 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 3,000 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Worland's burn probability — fire likelihood with no building count factored in — sits at the 53rd percentile nationally.
Worland's building exposure, zone by zone
Only 2.8% of Worland's 3,000 buildings carry Direct exposure and 14.1% carry Indirect; the remaining 83.1% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Worland compares
Worland's 56th national percentile looks worse in isolation than its 13th ranking inside Wyoming does — this place is on the milder end for its own state, by 43 points. Among the 31,521 US communities USFS scores, Worland ranks 13,885 for wildfire risk (1 is highest) and 5,436 by building count (1 is largest). Within Wyoming alone, it ranks 168 of 192 places by risk. See the full county-by-county picture for Wyoming on its state page.
Worland and the insurance market
Worland's elevated rating (56th 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
Even with 83.1% of Worland outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Worland's figures come from
Every one of the two percentiles behind Worland's 13,885-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Worland's dominant minimal exposure actually means, with real examples from across the dataset.