WildfireRiskFinder

Neosho, WI

How exposed is Neosho to wildfire?

Moderate
38thpercentile nationally

Neosho's 321 buildings earn a 38th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Neosho's burn probability — fire likelihood with no building count factored in — sits at the 38th percentile nationally.

Neosho's building exposure, zone by zone

321Total buildings
28.7%Direct exposure
0%Indirect exposure
71.3%Minimal exposure

USFS classifies 71.3% of Neosho's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 28.7% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

Where Neosho ranks

Compare Neosho's two percentiles: 88th within Wisconsin, only 38th nationally — a gap of 51 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Neosho ranks 19,716 for wildfire risk (1 is highest) and 21,080 by building count (1 is largest). Within Wisconsin alone, it ranks 98 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

Neosho's moderate rating (38th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Neosho

With 71.3% of buildings rated Minimal exposure, Neosho gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Neosho's figures come from

Every one of the two percentiles behind Neosho's 19,716-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Neosho's dominant minimal exposure actually means, with real examples from across the dataset.