Slayton, MN
Slayton wildfire risk explained
USFS's Wildfire Risk to Communities model puts Slayton at the 27th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 1,418 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Slayton at the 18th national percentile — 9 points below its risk-to-structures score, a gap driven by how much is actually built there.
Slayton's building exposure, zone by zone
USFS classifies 88.3% of Slayton's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 11.7% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
How Slayton compares
There's little gap between Slayton's 27th national percentile and its 32nd percentile inside Minnesota, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Slayton ranks 23,005 for wildfire risk (1 is highest) and 9,549 by building count (1 is largest). Within Minnesota alone, it ranks 624 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.
Shopping for coverage in Slayton
Slayton's moderate rating (27th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Even with 88.3% of Slayton 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 Slayton's figures come from
The methodology guide shows exactly how USFS turned 1,418 counted buildings into the percentiles shown above for Slayton. The exposure-zones guide covers what Slayton's dominant minimal exposure actually means, with real examples from across the dataset.