Hackensack, MN
How exposed is Hackensack to wildfire?
USFS's Wildfire Risk to Communities model puts Hackensack at the 43rd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 374 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Hackensack's burn probability — fire likelihood with no building count factored in — sits at the 42nd percentile nationally.
What "at risk" means for the buildings here
51.3% of Hackensack's 374 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 43.3% Direct and 5.4% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Hackensack ranks
Hackensack's 60th-percentile standing inside Minnesota outpaces its 43rd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Hackensack ranks 17,931 for wildfire risk (1 is highest) and 19,782 by building count (1 is largest). Within Minnesota alone, it ranks 364 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
Hackensack's elevated rating (43rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Hackensack (51.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Hackensack's figures come from
Every one of the two percentiles behind Hackensack's 17,931-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hackensack's dominant indirect exposure actually means, with real examples from across the dataset.