WildfireRiskFinder

Iroquois, SD

How exposed is Iroquois to wildfire?

Elevated
49thpercentile nationally

USFS scores Iroquois at the 49th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 237 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Iroquois's burn probability — fire likelihood with no building count factored in — sits at the 48th percentile nationally.

Iroquois's building exposure, zone by zone

237Total buildings
35.4%Direct exposure
0%Indirect exposure
64.6%Minimal exposure

Most of Iroquois's buildings (64.6% of 237) 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.

How Iroquois compares

Iroquois's 49th national percentile looks worse in isolation than its 27th ranking inside South Dakota does — this place is on the milder end for its own state, by 22 points. Among the 31,521 US communities USFS scores, Iroquois ranks 16,213 for wildfire risk (1 is highest) and 23,575 by building count (1 is largest). Within South Dakota alone, it ranks 323 of 439 places by risk. See the full county-by-county picture for South Dakota on its state page.

What this risk score means for insurance

Iroquois's elevated rating (49th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Iroquois's 64.6% 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 Iroquois's figures come from

Iroquois's 49th-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 Iroquois's dominant minimal exposure actually means, with real examples from across the dataset.