Hammond, WI
Hammond wildfire risk explained
Hammond sits at the 15th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 791 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Hammond at the 14th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Hammond's buildings actually sit
80.9% of Hammond's 791 buildings sit in USFS's Minimal exposure zone, with only 19.1% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Hammond compares
Hammond's risk sits at a similar level relative to Wisconsin (16th percentile statewide) as it does nationally (15th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Hammond ranks 26,933 for wildfire risk (1 is highest) and 13,724 by building count (1 is largest). Within Wisconsin alone, it ranks 680 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Hammond and the insurance market
At the 15th national percentile, Hammond rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With 80.9% of buildings rated Minimal exposure, Hammond gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Hammond's figures come from
Every one of the two percentiles behind Hammond's 26,933-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hammond's dominant minimal exposure actually means, with real examples from across the dataset.