Cleveland, UT
Cleveland, UT's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Cleveland lands at the 21st percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 317 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Cleveland's burn probability — fire likelihood with no building count factored in — sits at the 28th percentile nationally.
Where Cleveland's buildings actually sit
Only 46.1% of Cleveland's 317 buildings carry Direct exposure and 6.6% carry Indirect; the remaining 47.3% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Cleveland ranks
Cleveland's 21st national percentile looks worse in isolation than its 0th ranking inside Utah does — this place is on the milder end for its own state, by 21 points. Among the 31,521 US communities USFS scores, Cleveland ranks 25,007 for wildfire risk (1 is highest) and 21,194 by building count (1 is largest). Within Utah alone, it ranks 326 of 326 places by risk. See the full county-by-county picture for Utah on its state page.
Cleveland and the insurance market
Cleveland's moderate wildfire rating (21st percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Even with 47.3% of Cleveland 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 Cleveland's figures come from
Cleveland's 21st-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Cleveland's dominant minimal exposure actually means, with real examples from across the dataset.