Bloomington, WI
How exposed is Bloomington to wildfire?
USFS's Wildfire Risk to Communities model puts Bloomington at the 10th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 497 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Bloomington at the 10th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Bloomington's buildings actually sit
USFS classifies 91.4% of Bloomington's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 8.7% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
How Bloomington compares
There's little gap between Bloomington's 10th national percentile and its 6th percentile inside Wisconsin, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Bloomington ranks 28,353 for wildfire risk (1 is highest) and 17,416 by building count (1 is largest). Within Wisconsin alone, it ranks 757 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Bloomington
At the 10th national percentile, Bloomington rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Bloomington
With 91.4% of buildings rated Minimal exposure, Bloomington gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Bloomington's figures come from
Every one of the two percentiles behind Bloomington's 28,353-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Bloomington's dominant minimal exposure actually means, with real examples from across the dataset.