WildfireRiskFinder

Argyle, MN

How exposed is Argyle to wildfire?

Moderate
34thpercentile nationally

Argyle's 530 buildings earn a 34th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Argyle at the 35th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.

Argyle's building exposure, zone by zone

530Total buildings
13.4%Direct exposure
0%Indirect exposure
86.6%Minimal exposure

USFS classifies 86.6% of Argyle's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 13.4% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

Where Argyle ranks

Argyle's risk sits at a similar level relative to Minnesota (44th percentile statewide) as it does nationally (34th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Argyle ranks 20,673 for wildfire risk (1 is highest) and 16,865 by building count (1 is largest). Within Minnesota alone, it ranks 514 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.

Argyle and the insurance market

At the 34th national percentile, Argyle rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Hardening a home in Argyle

Argyle's 86.6% 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 Argyle's figures come from

Argyle's 34th-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 Argyle's dominant minimal exposure actually means, with real examples from across the dataset.