WildfireRiskFinder

Stroh, IN

Stroh, IN's wildfire risk, in USFS's own numbers

Low
9thpercentile nationally

Stroh's 251 buildings earn a 9th-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, Stroh's burn probability — fire likelihood with no building count factored in — sits at the 9th percentile nationally.

Where Stroh's buildings actually sit

251Total buildings
28.3%Direct exposure
0%Indirect exposure
71.7%Minimal exposure

Stroh rates 71.7% Minimal exposure against just 28.3% Direct and 0% Indirect — of 251 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Stroh against the rest of the country

Stroh's 53rd-percentile standing inside Indiana outpaces its 9th 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, Stroh ranks 28,677 for wildfire risk (1 is highest) and 23,102 by building count (1 is largest). Within Indiana alone, it ranks 452 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

At the 9th national percentile, Stroh 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

Stroh's 71.7% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Stroh's figures come from

Every one of the two percentiles behind Stroh's 28,677-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Stroh's dominant minimal exposure actually means, with real examples from across the dataset.