WildfireRiskFinder

Johnson, MN

Johnson, MN's wildfire risk, in USFS's own numbers

Low
14thpercentile nationally

Johnson's 61 buildings earn a 14th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Johnson at the 11th percentile, close to its 14th-percentile risk score.

What "at risk" means for the buildings here

61Total buildings
32.8%Direct exposure
0%Indirect exposure
67.2%Minimal exposure

Johnson rates 67.2% Minimal exposure against just 32.8% Direct and 0% Indirect — of 61 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

How Johnson compares

Johnson's risk sits at a similar level relative to Minnesota (18th percentile statewide) as it does nationally (14th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Johnson ranks 27,168 for wildfire risk (1 is highest) and 30,623 by building count (1 is largest). Within Minnesota alone, it ranks 750 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.

Johnson and the insurance market

At the 14th national percentile, Johnson rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

With 67.2% of buildings rated Minimal exposure, Johnson gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Johnson's figures come from

Every one of the two percentiles behind Johnson's 27,168-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Johnson's dominant minimal exposure actually means, with real examples from across the dataset.