Altura, MN
Altura, MN's wildfire risk, in USFS's own numbers
Altura sits at the 22nd percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 295 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Altura at the 22nd percentile, close to its 22nd-percentile risk score.
What "at risk" means for the buildings here
Most of Altura's buildings (84.1%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Altura ranks
There's little gap between Altura's 22nd national percentile and its 25th percentile inside Minnesota, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Altura ranks 24,682 for wildfire risk (1 is highest) and 21,759 by building count (1 is largest). Within Minnesota alone, it ranks 683 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.
Altura and the insurance market
Altura's moderate rating (22nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Altura
Because 84.1% of Altura'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 Altura's figures come from
Every one of the two percentiles behind Altura's 24,682-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Altura's dominant indirect exposure actually means, with real examples from across the dataset.