Greenwald, MN
How exposed is Greenwald to wildfire?
USFS's Wildfire Risk to Communities model puts Greenwald at the 23rd national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 156 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Greenwald at the 21st national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Greenwald's buildings actually sit
88.5% of Greenwald's 156 buildings sit in USFS's Minimal exposure zone, with only 11.5% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Greenwald against the rest of the country
Greenwald's risk sits at a similar level relative to Minnesota (27th percentile statewide) as it does nationally (23rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Greenwald ranks 24,362 for wildfire risk (1 is highest) and 26,622 by building count (1 is largest). Within Minnesota alone, it ranks 671 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
Greenwald's moderate rating (23rd 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 Greenwald
Even with 88.5% of Greenwald 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 Greenwald's figures come from
Greenwald's 23rd-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 Greenwald's dominant minimal exposure actually means, with real examples from across the dataset.