San Pierre, IN
How exposed is San Pierre to wildfire?
San Pierre sits at the 14th 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 216 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks San Pierre at the 14th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Most of San Pierre's buildings (69.4% of 216) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
San Pierre against the rest of the country
Within Indiana, San Pierre ranks higher (67th percentile) than it does nationally (14th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, San Pierre ranks 26,942 for wildfire risk (1 is highest) and 24,268 by building count (1 is largest). Within Indiana alone, it ranks 320 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
San Pierre and the insurance market
At the 14th national percentile, San Pierre rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
San Pierre's 69.4% 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 San Pierre's figures come from
Every one of the two percentiles behind San Pierre's 26,942-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what San Pierre's dominant minimal exposure actually means, with real examples from across the dataset.