WildfireRiskFinder

Olivet, SD

Olivet wildfire risk explained

High
76thpercentile nationally

Olivet's 92 buildings earn a 76th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Olivet at the 72nd percentile, close to its 76th-percentile risk score.

What "at risk" means for the buildings here

92Total buildings
50%Direct exposure
50%Indirect exposure
0%Minimal exposure

Of Olivet's 92 counted buildings, 50% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.

Where Olivet ranks

Olivet's risk sits at a similar level relative to South Dakota (74th percentile statewide) as it does nationally (76th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Olivet ranks 7,509 for wildfire risk (1 is highest) and 29,427 by building count (1 is largest). Within South Dakota alone, it ranks 115 of 439 places by risk. See the full county-by-county picture for South Dakota on its state page.

Shopping for coverage in Olivet

At the 76th percentile nationally, Olivet 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.

Hardening a home in Olivet

Olivet's 50% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.

Where Olivet's figures come from

Olivet's 76th-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 Olivet's dominant direct exposure actually means, with real examples from across the dataset.