Manchester, MN
How exposed is Manchester to wildfire?
Manchester sits at the 4th 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 57 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 Manchester at the 4th percentile, close to its 4th-percentile risk score.
Where Manchester's buildings actually sit
73.7% of Manchester's 57 buildings sit in USFS's Minimal exposure zone, with only 26.3% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Manchester compares
There's little gap between Manchester's 4th national percentile and its 6th percentile inside Minnesota, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Manchester ranks 30,230 for wildfire risk (1 is highest) and 30,742 by building count (1 is largest). Within Minnesota alone, it ranks 858 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.
Shopping for coverage in Manchester
Manchester's low wildfire rating (4th 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.
Hardening a home in Manchester
Manchester's 73.7% 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 Manchester's figures come from
The methodology guide shows exactly how USFS turned 57 counted buildings into the percentiles shown above for Manchester. The exposure-zones guide covers what Manchester's dominant minimal exposure actually means, with real examples from across the dataset.