Osceola, WI
Osceola, WI's wildfire risk, in USFS's own numbers
USFS scores Osceola at the 34th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 1,204 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Osceola at the 34th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Osceola's building exposure, zone by zone
USFS puts 74.5% of Osceola's 1,204 buildings in the Indirect exposure zone, versus 25.5% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Osceola ranks
Osceola's 78th-percentile standing inside Wisconsin outpaces its 34th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Osceola ranks 20,849 for wildfire risk (1 is highest) and 10,627 by building count (1 is largest). Within Wisconsin alone, it ranks 176 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Osceola
At the 34th national percentile, Osceola rates moderate 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
Osceola's 74.5% 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 Osceola's figures come from
Osceola's 34th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Osceola's dominant indirect exposure actually means, with real examples from across the dataset.