Prentice, WI
Prentice wildfire risk explained
Out of every US place USFS scores, Prentice lands at the 16th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 508 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Prentice's burn probability — fire likelihood with no building count factored in — sits at the 16th percentile nationally.
Prentice's building exposure, zone by zone
Most of Prentice's buildings (51.4%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Prentice compares
There's little gap between Prentice's 16th national percentile and its 19th percentile inside Wisconsin, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Prentice ranks 26,525 for wildfire risk (1 is highest) and 17,216 by building count (1 is largest). Within Wisconsin alone, it ranks 654 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Prentice
At the 16th national percentile, Prentice rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Prentice's 51.4% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Prentice's figures come from
The methodology guide shows exactly how USFS turned 508 counted buildings into the percentiles shown above for Prentice. The exposure-zones guide covers what Prentice's dominant indirect exposure actually means, with real examples from across the dataset.