Fielding, UT
How exposed is Fielding to wildfire?
USFS's Wildfire Risk to Communities model puts Fielding at the 52nd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 290 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Fielding's burn probability — fire likelihood with no building count factored in — sits at the 51st percentile nationally.
Fielding's building exposure, zone by zone
61% of Fielding's 290 buildings sit in USFS's Minimal exposure zone, with only 39% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Fielding against the rest of the country
Inside Utah, Fielding sits at just the 11th percentile even though it scores 52nd 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, Fielding ranks 15,050 for wildfire risk (1 is highest) and 21,928 by building count (1 is largest). Within Utah alone, it ranks 292 of 326 places by risk. See the full county-by-county picture for Utah on its state page.
Shopping for coverage in Fielding
Fielding's elevated wildfire rating (52nd 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.
Lowering exposure, not just insuring around it
Even with 61% of Fielding 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 Fielding's figures come from
Every one of the two percentiles behind Fielding's 15,050-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Fielding's dominant minimal exposure actually means, with real examples from across the dataset.