Elmwood Park, WI
How exposed is Elmwood Park to wildfire?
Out of every US place USFS scores, Elmwood Park lands at the 20th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 217 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Elmwood Park at the 21st national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Elmwood Park's buildings actually sit
89.4% of Elmwood Park's 217 buildings sit in USFS's Minimal exposure zone, with only 10.6% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Elmwood Park against the rest of the country
Elmwood Park's risk sits at a similar level relative to Wisconsin (30th percentile statewide) as it does nationally (20th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Elmwood Park ranks 25,325 for wildfire risk (1 is highest) and 24,259 by building count (1 is largest). Within Wisconsin alone, it ranks 567 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
Elmwood Park's low rating (20th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 89.4% of buildings rated Minimal exposure, Elmwood Park gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Elmwood Park's figures come from
The methodology guide shows exactly how USFS turned 217 counted buildings into the percentiles shown above for Elmwood Park. The exposure-zones guide covers what Elmwood Park's dominant minimal exposure actually means, with real examples from across the dataset.