What does a Data Scientists salary really buy you in California?
California is 12.5% pricier than the US averageData: BLS OEWS 2024 + BEA Regional Price Parities 2022 • Updated 2026-04-02
California's Regional Price Parity (RPP) is 112.5, meaning prices are 12.5% higher the national average. A Data Scientists earning $133,690 in California has the equivalent purchasing power of $118,835 in an average-cost US state.
Every dollar goes further in low-cost states. Here is how each salary percentile compares after adjusting for California's cost of living.
| Percentile | Nominal Salary | COL-Adjusted | Difference |
|---|---|---|---|
| 10th Percentile (P10) | $68,050 | $60,488 | $-7,561 |
| 25th Percentile (P25) | $94,240 | $83,768 | $-10,471 |
| Median (P50) | $133,690 | $118,835 | $-14,854 |
| 75th Percentile (P75) | $173,250 | $154,000 | $-19,250 |
| 90th Percentile (P90) | $213,080 | $189,404 | $-23,675 |
While $133,690 sounds high, California's elevated cost of living erases 11% of that salary's purchasing power. Your real buying power is $118,835. Consider whether the higher pay offsets the higher costs.
Where does Data Scientists salary stretch the furthest? Top 10 states ranked by COL-adjusted median salary.
California ranks #13 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 California after taxes →
A Data Scientists in California earns a median salary of $133,690 per year. After adjusting for California's cost of living (RPP=112.5), the real purchasing power is $118,835 — a -11.1% difference.
California's cost of living is 12.5% higher than the national average according to the BEA Regional Price Parities (2022). The RPP index for California is 112.5 (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 California: $133,690 x (100 / 112.5) = $118,835. This represents what the salary would be worth in a state with average living costs.
Partially — a Data Scientists's nominal salary of $133,690 in California has 11.1% less purchasing power due to higher living costs. The real value is $118,835. However, California may offer better career opportunities, networking, and industry access.