Livingston, WI
How exposed is Livingston to wildfire?
Out of every US place USFS scores, Livingston lands at the 7th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 386 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Livingston at the 7th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Livingston's buildings actually sit
Most of Livingston's buildings (89.9% of 386) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Livingston ranks
Livingston's risk sits at a similar level relative to Wisconsin (2nd percentile statewide) as it does nationally (7th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Livingston ranks 29,330 for wildfire risk (1 is highest) and 19,514 by building count (1 is largest). Within Wisconsin alone, it ranks 790 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Livingston
At the 7th national percentile, Livingston 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 89.9% of buildings rated Minimal exposure, Livingston gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Livingston's figures come from
Every one of the two percentiles behind Livingston's 29,330-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Livingston's dominant minimal exposure actually means, with real examples from across the dataset.