Port Wing, WI
Port Wing, WI's wildfire risk, in USFS's own numbers
USFS scores Port Wing at the 30th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 275 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 Port Wing at the 31st percentile, close to its 30th-percentile risk score.
Port Wing's building exposure, zone by zone
Of Port Wing's 275 counted buildings, 61.8% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Port Wing compares
Port Wing's 63rd-percentile standing inside Wisconsin outpaces its 30th 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, Port Wing ranks 22,238 for wildfire risk (1 is highest) and 22,377 by building count (1 is largest). Within Wisconsin alone, it ranks 299 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Port Wing
Port Wing's moderate rating (30th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
With 61.8% of Port Wing 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 Port Wing's figures come from
Every one of the two percentiles behind Port Wing's 22,238-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Port Wing's dominant direct exposure actually means, with real examples from across the dataset.