What does a Data Scientist salary really buy you in North Carolina?
North Carolina is 5.8% cheaper than the US averageData: BLS OEWS 2024 + BEA Regional Price Parities 2022 • Updated 2026-03-31
North Carolina's Regional Price Parity (RPP) is 94.2, meaning prices are 5.8% lower the national average. A Data Scientist earning $115,380 in North Carolina has the equivalent purchasing power of $122,484 in an average-cost US state.
Every dollar goes further in low-cost states. Here is how each salary percentile compares after adjusting for North Carolina's cost of living.
| Percentile | Nominal Salary | COL-Adjusted | Difference |
|---|---|---|---|
| 10th Percentile (P10) | $58,240 | $61,825 | +$3,585 |
| 25th Percentile (P25) | $80,240 | $85,180 | +$4,940 |
| Median (P50) | $115,380 | $122,484 | +$7,104 |
| 75th Percentile (P75) | $146,850 | $155,891 | +$9,041 |
| 90th Percentile (P90) | $173,170 | $183,832 | +$10,662 |
A Data Scientist in North Carolina earns $115,380 on paper, but low living costs mean your money goes 6% further — like earning $122,484 in an average-cost state. This makes North Carolina 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.
North Carolina ranks #5 out of 49 states for Data Scientist after cost-of-living adjustment.
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A Data Scientist in North Carolina earns a median salary of $115,380 per year. After adjusting for North Carolina's cost of living (RPP=94.2), the real purchasing power is $122,484 — a +6.2% difference.
North Carolina's cost of living is 5.8% lower than the national average according to the BEA Regional Price Parities (2022). The RPP index for North Carolina is 94.2 (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 North Carolina: $115,380 x (100 / 94.2) = $122,484. 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 North Carolina enjoys 6.2% 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.