WildfireRiskFinder

Glencoe, MN

Glencoe, MN's wildfire risk, in USFS's own numbers

Low
15thpercentile nationally

Glencoe's 2,498 buildings earn a 15th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Glencoe's burn probability — fire likelihood with no building count factored in — sits at the 12th percentile nationally.

What "at risk" means for the buildings here

2,498Total buildings
2.7%Direct exposure
0%Indirect exposure
97.3%Minimal exposure

Only 2.7% of Glencoe's 2,498 buildings carry Direct exposure and 0% carry Indirect; the remaining 97.3% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.

Where Glencoe ranks

Glencoe's risk sits at a similar level relative to Minnesota (19th percentile statewide) as it does nationally (15th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Glencoe ranks 26,890 for wildfire risk (1 is highest) and 6,298 by building count (1 is largest). Within Minnesota alone, it ranks 742 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.

What this risk score means for insurance

Glencoe's low rating (15th 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

Glencoe's 97.3% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Glencoe's figures come from

Glencoe's 15th-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 Glencoe's dominant minimal exposure actually means, with real examples from across the dataset.