Navarino, WI
Navarino, WI's wildfire risk, in USFS's own numbers
USFS scores Navarino at the 28th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 150 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Navarino at the 28th percentile, close to its 28th-percentile risk score.
What "at risk" means for the buildings here
84% of Navarino's 150 buildings sit in USFS's Direct exposure zone, roughly 126 structures close enough to burnable vegetation for flame contact, not just embers — 16% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Navarino ranks
Navarino's 57th-percentile standing inside Wisconsin outpaces its 28th 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, Navarino ranks 22,740 for wildfire risk (1 is highest) and 26,899 by building count (1 is largest). Within Wisconsin alone, it ranks 347 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
What this risk score means for insurance
At the 28th national percentile, Navarino rates moderate 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 Navarino
With 84% of Navarino in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Navarino's figures come from
Navarino's 28th-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 Navarino's dominant direct exposure actually means, with real examples from across the dataset.