Park Ridge, WI
How exposed is Park Ridge to wildfire?
Out of every US place USFS scores, Park Ridge lands at the 28th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 279 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Park Ridge at the 30th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Park Ridge's buildings actually sit
USFS puts 39.8% of Park Ridge's 279 buildings in the Indirect exposure zone, versus 24.7% Direct and 35.5% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Park Ridge compares
Within Wisconsin, Park Ridge ranks higher (60th percentile) than it does nationally (28th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Park Ridge ranks 22,553 for wildfire risk (1 is highest) and 22,248 by building count (1 is largest). Within Wisconsin alone, it ranks 323 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
Park Ridge's moderate rating (28th 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 ember exposure the dominant pattern in Park Ridge (39.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Park Ridge's figures come from
Every one of the two percentiles behind Park Ridge's 22,553-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Park Ridge's dominant indirect exposure actually means, with real examples from across the dataset.