What does a Data Scientist salary really buy you in Kansas?
Kansas is 10.0% cheaper than the US averageData: BLS OEWS 2024 + BEA Regional Price Parities 2022 • Updated 2026-03-31
Kansas's Regional Price Parity (RPP) is 90.0, meaning prices are 10.0% lower the national average. A Data Scientist earning $110,320 in Kansas has the equivalent purchasing power of $122,577 in an average-cost US state.
Every dollar goes further in low-cost states. Here is how each salary percentile compares after adjusting for Kansas's cost of living.
| Percentile | Nominal Salary | COL-Adjusted | Difference |
|---|---|---|---|
| 10th Percentile (P10) | $45,940 | $51,044 | +$5,104 |
| 25th Percentile (P25) | $83,120 | $92,355 | +$9,235 |
| Median (P50) | $110,320 | $122,577 | +$12,257 |
| 75th Percentile (P75) | $132,130 | $146,811 | +$14,681 |
| 90th Percentile (P90) | $148,850 | $165,388 | +$16,538 |
A Data Scientist in Kansas earns $110,320 on paper, but low living costs mean your money goes 11% further — like earning $122,577 in an average-cost state. This makes Kansas 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.
Kansas ranks #4 out of 49 states for Data Scientist after cost-of-living adjustment.
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A Data Scientist in Kansas earns a median salary of $110,320 per year. After adjusting for Kansas's cost of living (RPP=90.0), the real purchasing power is $122,577 — a +11.1% difference.
Kansas's cost of living is 10.0% lower than the national average according to the BEA Regional Price Parities (2022). The RPP index for Kansas is 90.0 (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 Kansas: $110,320 x (100 / 90.0) = $122,577. 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 Kansas enjoys 11.1% 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.