WildfireRiskFinder

Mount Etna, IN

How exposed is Mount Etna to wildfire?

Low
5thpercentile nationally

Mount Etna's 78 buildings earn a 5th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Mount Etna's burn probability — fire likelihood with no building count factored in — sits at the 5th percentile nationally.

Mount Etna's building exposure, zone by zone

78Total buildings
32.1%Direct exposure
0%Indirect exposure
68%Minimal exposure

68% of Mount Etna's 78 buildings sit in USFS's Minimal exposure zone, with only 32.1% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

Mount Etna against the rest of the country

Mount Etna's 34th-percentile standing inside Indiana outpaces its 5th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Mount Etna ranks 30,069 for wildfire risk (1 is highest) and 29,959 by building count (1 is largest). Within Indiana alone, it ranks 646 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

What this risk score means for insurance

Mount Etna's low rating (5th 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 Mount Etna

With 68% of buildings rated Minimal exposure, Mount Etna gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Mount Etna's figures come from

The methodology guide shows exactly how USFS turned 78 counted buildings into the percentiles shown above for Mount Etna. The exposure-zones guide covers what Mount Etna's dominant minimal exposure actually means, with real examples from across the dataset.