Grand Meadow, MN
Grand Meadow wildfire risk explained
Grand Meadow sits at the 3rd percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 623 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 Grand Meadow at the 3rd percentile, close to its 3rd-percentile risk score.
Where Grand Meadow's buildings actually sit
Grand Meadow rates 92.9% Minimal exposure against just 7.1% Direct and 0% Indirect — of 623 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
How Grand Meadow compares
Grand Meadow's risk sits at a similar level relative to Minnesota (4th percentile statewide) as it does nationally (3rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Grand Meadow ranks 30,671 for wildfire risk (1 is highest) and 15,515 by building count (1 is largest). Within Minnesota alone, it ranks 879 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.
Shopping for coverage in Grand Meadow
Grand Meadow's low wildfire rating (3rd percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
With 92.9% of buildings rated Minimal exposure, Grand Meadow gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Grand Meadow's figures come from
The methodology guide shows exactly how USFS turned 623 counted buildings into the percentiles shown above for Grand Meadow. The exposure-zones guide covers what Grand Meadow's dominant minimal exposure actually means, with real examples from across the dataset.