WildfireRiskFinder

North Salem, IN

North Salem, IN's wildfire risk, in USFS's own numbers

Low
8thpercentile nationally

North Salem's 332 buildings earn a 8th-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, North Salem's burn probability — fire likelihood with no building count factored in — sits at the 7th percentile nationally.

North Salem's building exposure, zone by zone

332Total buildings
19.6%Direct exposure
0%Indirect exposure
80.4%Minimal exposure

USFS classifies 80.4% of North Salem's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 19.6% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

North Salem against the rest of the country

Compare North Salem's two percentiles: 49th within Indiana, only 8th nationally — a gap of 41 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, North Salem ranks 29,054 for wildfire risk (1 is highest) and 20,756 by building count (1 is largest). Within Indiana alone, it ranks 498 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Shopping for coverage in North Salem

North Salem's low wildfire rating (8th 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.

Hardening a home in North Salem

North Salem's 80.4% 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 North Salem's figures come from

The methodology guide shows exactly how USFS turned 332 counted buildings into the percentiles shown above for North Salem. The exposure-zones guide covers what North Salem's dominant minimal exposure actually means, with real examples from across the dataset.