South Haven, IN
South Haven, IN's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, South Haven lands at the 50th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 3,283 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, South Haven's burn probability — fire likelihood with no building count factored in — sits at the 52nd percentile nationally.
Where South Haven's buildings actually sit
Only 3.6% of South Haven's 3,283 buildings carry Direct exposure and 0% carry Indirect; the remaining 96.4% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
South Haven against the rest of the country
Within Indiana, South Haven ranks higher (97th percentile) than it does nationally (50th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, South Haven ranks 15,813 for wildfire risk (1 is highest) and 5,070 by building count (1 is largest). Within Indiana alone, it ranks 29 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in South Haven
At the 50th national percentile, South Haven rates elevated 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 96.4% of buildings rated Minimal exposure, South Haven gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where South Haven's figures come from
Every one of the two percentiles behind South Haven's 15,813-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what South Haven's dominant minimal exposure actually means, with real examples from across the dataset.