WildfireRiskFinder

Hopkins, MN

Hopkins wildfire risk explained

Moderate
36thpercentile nationally

USFS scores Hopkins at the 36th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 4,880 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Hopkins's burn probability — fire likelihood with no building count factored in — sits at the 36th percentile nationally.

What "at risk" means for the buildings here

4,880Total buildings
9.2%Direct exposure
0%Indirect exposure
90.8%Minimal exposure

USFS classifies 90.8% of Hopkins's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 9.2% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

Where Hopkins ranks

Hopkins scores 36th nationally and 47th 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, Hopkins ranks 20,200 for wildfire risk (1 is highest) and 3,505 by building count (1 is largest). Within Minnesota alone, it ranks 488 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.

Shopping for coverage in Hopkins

Hopkins's moderate rating (36th 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 Hopkins

Even with 90.8% of Hopkins 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 Hopkins's figures come from

The methodology guide shows exactly how USFS turned 4,880 counted buildings into the percentiles shown above for Hopkins. The exposure-zones guide covers what Hopkins's dominant minimal exposure actually means, with real examples from across the dataset.