Fishers, IN
How exposed is Fishers to wildfire?
Fishers's 31,435 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, Fishers's burn probability — fire likelihood with no building count factored in — sits at the 9th percentile nationally.
What "at risk" means for the buildings here
Most of Fishers's buildings (90.2% of 31,435) 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. At 31,435 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Where Fishers ranks
Within Indiana, Fishers ranks higher (49th percentile) than it does nationally (8th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Fishers ranks 28,959 for wildfire risk (1 is highest) and 356 by building count (1 is largest). Within Indiana alone, it ranks 489 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Fishers
Fishers'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.
Lowering exposure, not just insuring around it
With 90.2% of buildings rated Minimal exposure, Fishers gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Fishers's figures come from
Fishers's 8th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Fishers's dominant minimal exposure actually means, with real examples from across the dataset.