What does a Data Scientists salary really buy you in Kentucky?
Kentucky is 10.6% cheaper than the US averageData: BLS OEWS 2024 + BEA Regional Price Parities 2022 • Updated 2026-04-02
Kentucky's Regional Price Parity (RPP) is 89.4, meaning prices are 10.6% lower the national average. A Data Scientists earning $88,800 in Kentucky has the equivalent purchasing power of $99,328 in an average-cost US state.
Every dollar goes further in low-cost states. Here is how each salary percentile compares after adjusting for Kentucky's cost of living.
| Percentile | Nominal Salary | COL-Adjusted | Difference |
|---|---|---|---|
| 10th Percentile (P10) | $52,330 | $58,534 | +$6,204 |
| 25th Percentile (P25) | $65,570 | $73,344 | +$7,774 |
| Median (P50) | $88,800 | $99,328 | +$10,528 |
| 75th Percentile (P75) | $121,700 | $136,129 | +$14,429 |
| 90th Percentile (P90) | $153,090 | $171,241 | +$18,151 |
A Data Scientists in Kentucky earns $88,800 on paper, but low living costs mean your money goes 12% further — like earning $99,328 in an average-cost state. This makes Kentucky 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.
Kentucky ranks #38 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 Kentucky after taxes →
A Data Scientists in Kentucky earns a median salary of $88,800 per year. After adjusting for Kentucky's cost of living (RPP=89.4), the real purchasing power is $99,328 — a +11.9% difference.
Kentucky's cost of living is 10.6% lower than the national average according to the BEA Regional Price Parities (2022). The RPP index for Kentucky is 89.4 (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 Kentucky: $88,800 x (100 / 89.4) = $99,328. 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 Kentucky enjoys 11.9% 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.