Lake Hallie, WI
How exposed is Lake Hallie to wildfire?
Out of every US place USFS scores, Lake Hallie lands at the 25th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 3,735 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Lake Hallie at the 25th percentile, close to its 25th-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 49.3% of Lake Hallie's buildings as Direct exposure, higher than its 30.2% Indirect share and far above its 20.5% Minimal share — a profile where 1,842 structures sit close enough to vegetation that lot clearing matters most.
How Lake Hallie compares
Compare Lake Hallie's two percentiles: 50th within Wisconsin, only 25th nationally — a gap of 25 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Lake Hallie ranks 23,530 for wildfire risk (1 is highest) and 4,486 by building count (1 is largest). Within Wisconsin alone, it ranks 403 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Lake Hallie
Lake Hallie's moderate wildfire rating (25th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Lake Hallie's 49.3% 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 Lake Hallie's figures come from
The methodology guide shows exactly how USFS turned 3,735 counted buildings into the percentiles shown above for Lake Hallie. The exposure-zones guide covers what Lake Hallie's dominant direct exposure actually means, with real examples from across the dataset.