What does a Data Scientist 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 2026-03-31
South Dakota's Regional Price Parity (RPP) is 88.0, meaning prices are 12.0% lower the national average. A Data Scientist earning $92,000 in South Dakota has the equivalent purchasing power of $104,545 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) | $62,240 | $70,727 | +$8,487 |
| 25th Percentile (P25) | $78,590 | $89,306 | +$10,716 |
| Median (P50) | $92,000 | $104,545 | +$12,545 |
| 75th Percentile (P75) | $109,940 | $124,931 | +$14,991 |
| 90th Percentile (P90) | $117,880 | $133,954 | +$16,074 |
A Data Scientist in South Dakota earns $92,000 on paper, but low living costs mean your money goes 14% further — like earning $104,545 in an average-cost state. This makes South Dakota one of the best value states for this occupation.
Where does Data Scientist salary stretch the furthest? Top 10 states ranked by COL-adjusted median salary.
South Dakota ranks #32 out of 49 states for Data Scientist after cost-of-living adjustment.
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A Data Scientist in South Dakota earns a median salary of $92,000 per year. After adjusting for South Dakota's cost of living (RPP=88.0), the real purchasing power is $104,545 — 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 Scientist in South Dakota: $92,000 x (100 / 88.0) = $104,545. This represents what the salary would be worth in a state with average living costs.
From a purchasing power perspective, yes. A Data Scientist 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.