Taconite, MN
Taconite wildfire risk explained
Taconite sits at the 36th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 663 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Taconite at the 35th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Taconite's building exposure, zone by zone
Of Taconite's 663 counted buildings, 67.3% carry Direct exposure and only 0.3% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Taconite ranks
There's little gap between Taconite's 36th national percentile and its 48th percentile inside Minnesota, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Taconite ranks 20,044 for wildfire risk (1 is highest) and 15,030 by building count (1 is largest). Within Minnesota alone, it ranks 479 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.
Taconite and the insurance market
At the 36th national percentile, Taconite rates moderate 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
Taconite's 67.3% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Taconite's figures come from
Every one of the two percentiles behind Taconite's 20,044-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Taconite's dominant direct exposure actually means, with real examples from across the dataset.