Magna, UT
How exposed is Magna to wildfire?
USFS scores Magna at the 88th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 10,025 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Magna at the 88th percentile, close to its 88th-percentile risk score.
Where Magna's buildings actually sit
USFS puts 64.2% of Magna's 10,025 buildings in the Indirect exposure zone, versus 6.2% Direct and 29.6% Minimal — a place where the fire doesn't need to reach the structure directly for embers to. At 10,025 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Magna compares
Magna ranks lower within Utah (51st percentile statewide) than its 88th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Magna ranks 3,669 for wildfire risk (1 is highest) and 1,606 by building count (1 is largest). Within Utah alone, it ranks 162 of 326 places by risk. See the full county-by-county picture for Utah on its state page.
What this risk score means for insurance
Magna's very high rating (88th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in Magna
Because 64.2% of Magna's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Magna's figures come from
Magna's 88th-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 Magna's dominant indirect exposure actually means, with real examples from across the dataset.