Crocker, SD
Crocker, SD's wildfire risk, in USFS's own numbers
USFS scores Crocker at the 61st national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 63 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Crocker's burn probability — fire likelihood with no building count factored in — sits at the 58th percentile nationally.
What "at risk" means for the buildings here
Of Crocker's 63 counted buildings, 88.9% carry Direct exposure and only 4.8% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Crocker ranks
Crocker's risk sits at a similar level relative to South Dakota (50th percentile statewide) as it does nationally (61st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Crocker ranks 12,427 for wildfire risk (1 is highest) and 30,558 by building count (1 is largest). Within South Dakota alone, it ranks 224 of 439 places by risk. See the full county-by-county picture for South Dakota on its state page.
Shopping for coverage in Crocker
At the 61st percentile nationally, Crocker carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
With 88.9% of Crocker in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Crocker's figures come from
Every one of the two percentiles behind Crocker's 12,427-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Crocker's dominant direct exposure actually means, with real examples from across the dataset.