Garland, UT
How exposed is Garland to wildfire?
Out of every US place USFS scores, Garland lands at the 87th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 1,022 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Garland at the 82nd national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
Garland's building exposure, zone by zone
Most of Garland's buildings (79% of 1,022) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Garland against the rest of the country
Garland's 87th national percentile looks worse in isolation than its 48th ranking inside Utah does — this place is on the milder end for its own state, by 39 points. Among the 31,521 US communities USFS scores, Garland ranks 4,171 for wildfire risk (1 is highest) and 11,786 by building count (1 is largest). Within Utah alone, it ranks 171 of 326 places by risk. See the full county-by-county picture for Utah on its state page.
Shopping for coverage in Garland
At the 87th percentile nationally, Garland 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.
Lowering exposure, not just insuring around it
With 79% of buildings rated Minimal exposure, Garland gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Garland's figures come from
The methodology guide shows exactly how USFS turned 1,022 counted buildings into the percentiles shown above for Garland. The exposure-zones guide covers what Garland's dominant minimal exposure actually means, with real examples from across the dataset.