Shullsburg, WI
Shullsburg wildfire risk explained
Out of every US place USFS scores, Shullsburg lands at the 9th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 782 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 Shullsburg at the 9th percentile, close to its 9th-percentile risk score.
What "at risk" means for the buildings here
Most of Shullsburg's buildings (90.4% of 782) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Shullsburg against the rest of the country
There's little gap between Shullsburg's 9th 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, Shullsburg ranks 28,573 for wildfire risk (1 is highest) and 13,801 by building count (1 is largest). Within Wisconsin alone, it ranks 764 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shullsburg and the insurance market
At the 9th national percentile, Shullsburg 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 Shullsburg
Even with 90.4% of Shullsburg outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Shullsburg's figures come from
Every one of the two percentiles behind Shullsburg's 28,573-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Shullsburg's dominant minimal exposure actually means, with real examples from across the dataset.