WildfireRiskFinder

Maynard, MN

Maynard wildfire risk explained

Low
17thpercentile nationally

Out of every US place USFS scores, Maynard lands at the 17th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 249 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Maynard at the 12th national percentile — 5 points below its risk-to-structures score, a gap driven by how much is actually built there.

Maynard's building exposure, zone by zone

249Total buildings
16.5%Direct exposure
0%Indirect exposure
83.5%Minimal exposure

Maynard rates 83.5% Minimal exposure against just 16.5% Direct and 0% Indirect — of 249 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Where Maynard ranks

Maynard scores 17th nationally and 20th within Minnesota — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Maynard ranks 26,164 for wildfire risk (1 is highest) and 23,172 by building count (1 is largest). Within Minnesota alone, it ranks 729 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.

Maynard and the insurance market

Maynard's low rating (17th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Maynard's 83.5% 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 Maynard's figures come from

The methodology guide shows exactly how USFS turned 249 counted buildings into the percentiles shown above for Maynard. The exposure-zones guide covers what Maynard's dominant minimal exposure actually means, with real examples from across the dataset.