Goodland, IN
Goodland, IN's wildfire risk, in USFS's own numbers
Goodland sits at the 0th 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 721 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Goodland at the 0th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Goodland's building exposure, zone by zone
Goodland rates 80.4% Minimal exposure against just 19.6% Direct and 0% Indirect — of 721 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Goodland against the rest of the country
Goodland scores 0th nationally and 3rd within Indiana — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Goodland ranks 31,397 for wildfire risk (1 is highest) and 14,436 by building count (1 is largest). Within Indiana alone, it ranks 943 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Goodland and the insurance market
Goodland's low wildfire rating (0th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
With 80.4% of buildings rated Minimal exposure, Goodland gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Goodland's figures come from
The methodology guide shows exactly how USFS turned 721 counted buildings into the percentiles shown above for Goodland. The exposure-zones guide covers what Goodland's dominant minimal exposure actually means, with real examples from across the dataset.