What does a Data Scientists salary really buy you in South Carolina?
South Carolina is 6.4% cheaper than the US averageData: BLS OEWS 2024 + BEA Regional Price Parities 2022 • Updated 2026-04-02
South Carolina's Regional Price Parity (RPP) is 93.6, meaning prices are 6.4% lower the national average. A Data Scientists earning $95,310 in South Carolina has the equivalent purchasing power of $101,826 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 Carolina's cost of living.
| Percentile | Nominal Salary | COL-Adjusted | Difference |
|---|---|---|---|
| 10th Percentile (P10) | $60,600 | $64,743 | +$4,143 |
| 25th Percentile (P25) | $74,510 | $79,604 | +$5,094 |
| Median (P50) | $95,310 | $101,826 | +$6,516 |
| 75th Percentile (P75) | $119,500 | $127,670 | +$8,170 |
| 90th Percentile (P90) | $152,830 | $163,279 | +$10,449 |
A Data Scientists in South Carolina earns $95,310 on paper, but low living costs mean your money goes 7% further — like earning $101,826 in an average-cost state. This makes South Carolina 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 Carolina ranks #35 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 Carolina after taxes →
A Data Scientists in South Carolina earns a median salary of $95,310 per year. After adjusting for South Carolina's cost of living (RPP=93.6), the real purchasing power is $101,826 — a +6.8% difference.
South Carolina's cost of living is 6.4% lower than the national average according to the BEA Regional Price Parities (2022). The RPP index for South Carolina is 93.6 (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 Carolina: $95,310 x (100 / 93.6) = $101,826. 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 Carolina enjoys 6.8% 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.