What does a Data Scientists salary really buy you in South Dakota?
South Dakota is 12.0% cheaper than the US averageData: BLS OEWS 2024 + BEA Regional Price Parities 2022 • Updated 2026-04-02
South Dakota's Regional Price Parity (RPP) is 88.0, meaning prices are 12.0% lower the national average. A Data Scientists earning $91,460 in South Dakota has the equivalent purchasing power of $103,931 in an average-cost US state.
Every dollar goes further in low-cost states. Here is how each salary percentile compares after adjusting for South Dakota's cost of living.
| Percentile | Nominal Salary | COL-Adjusted | Difference |
|---|---|---|---|
| 10th Percentile (P10) | $64,160 | $72,909 | +$8,749 |
| 25th Percentile (P25) | $83,930 | $95,375 | +$11,445 |
| Median (P50) | $91,460 | $103,931 | +$12,471 |
| 75th Percentile (P75) | $114,030 | $129,579 | +$15,549 |
| 90th Percentile (P90) | $133,970 | $152,238 | +$18,268 |
A Data Scientists in South Dakota earns $91,460 on paper, but low living costs mean your money goes 14% further — like earning $103,931 in an average-cost state. This makes South Dakota one of the best value states for this occupation.
Where does Data Scientists salary stretch the furthest? Top 10 states ranked by COL-adjusted median salary.
South Dakota ranks #31 out of 51 states for Data Scientists after cost-of-living adjustment.
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How much do you actually take home? See Data Scientists take-home pay in South Dakota after taxes →
A Data Scientists in South Dakota earns a median salary of $91,460 per year. After adjusting for South Dakota's cost of living (RPP=88.0), the real purchasing power is $103,931 — a +13.6% difference.
South Dakota's cost of living is 12.0% lower than the national average according to the BEA Regional Price Parities (2022). The RPP index for South Dakota is 88.0 (US average = 100).
Regional Price Parities (RPPs) are price indexes published by the U.S. Bureau of Economic Analysis (BEA) that measure differences in price levels across states. They are expressed as a percentage of the national average (US = 100). Higher RPP means higher cost of living.
The adjusted salary is calculated as: Nominal Salary x (100 / RPP). For a Data Scientists in South Dakota: $91,460 x (100 / 88.0) = $103,931. This represents what the salary would be worth in a state with average living costs.
From a purchasing power perspective, yes. A Data Scientists in South Dakota enjoys 13.6% more buying power than the nominal salary suggests, because living costs are below the national average. However, other factors like job availability, career growth, and quality of life also matter.