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What does a Data Scientists salary really buy you in California?
California is 12.5% pricier than the US averageData: BLS OEWS 2025 + BEA Regional Price Parities 2022 • Updated 2026-05-19
California's Regional Price Parity (RPP) is 112.5, meaning prices are 12.5% higher the national average. A Data Scientists earning $141,590 in California has the equivalent purchasing power of $125,857 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) | $77,480 | $68,871 | $-8,608 |
| 25th Percentile (P25) | $103,360 | $91,875 | $-11,484 |
| Median (P50) | $141,590 | $125,857 | $-15,732 |
| 75th Percentile (P75) | $186,820 | $166,062 | $-20,757 |
| 90th Percentile (P90) | $224,920 | $199,928 | $-24,991 |
While $141,590 sounds high, California's elevated cost of living erases 11% of that salary's purchasing power. Your real buying power is $125,857. Consider whether the higher pay offsets the higher costs.
California's RPP of 112.5 puts it 12.5% above the national baseline cost of living. A Data Scientists needs that premium in nominal pay just to maintain the same purchasing power as an average-cost state.
Adjusting $141,590 for California's cost of living yields $125,858 — a 11.1% loss in real purchasing power. This magnitude usually reflects either a materially cheaper or materially pricier metro mix than the national average.
Ranked on COL-adjusted median pay for Data Scientists, California places #6 of 49 states — top quartile. Either nominal wages run high, cost of living runs low, or both.
Where does Data Scientists salary stretch the furthest? Top 10 states ranked by COL-adjusted median salary.
California ranks #6 out of 49 states for Data Scientists after cost-of-living adjustment.
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 $141,590 per year. After adjusting for California's cost of living (RPP=112.5), the real purchasing power is $125,857 — 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: $141,590 x (100 / 112.5) = $125,857. This represents what the salary would be worth in a state with average living costs.
Partially — a Data Scientists's nominal salary of $141,590 in California has 11.1% less purchasing power due to higher living costs. The real value is $125,857. However, California may offer better career opportunities, networking, and industry access.
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