Data Scientists
Santa Rosa-Petaluma, CA metropolitan area. Estimated employment 130.
Where you sit in the distribution
That is the median — half of data scientists in Santa Rosa earn more.
$119,930 in Santa Rosa buys what $111,300 buys across the country as a whole.
Santa Rosa's regional price parity is 107.8 — well above the national average — a dollar here buys noticeably less than in the US as a whole. Adjusted figures for other metros are in the nearby-metros table below.
The same job, elsewhere in California
Adjusted figures apply each metro's regional price parity, so the columns are directly comparable.
| Metro area | Median | Adjusted | RPP | vs. Santa Rosa |
|---|---|---|---|---|
| San Jose | $185,080 | $167,600 | 110.4 | +50.6% |
| San Francisco | $170,110 | $147,100 | 115.6 | +32.2% |
| San Diego | $130,990 | $117,100 | 111.9 | +5.2% |
| Santa Cruz | $130,980 | $119,200 | 109.9 | +7.1% |
| Los Angeles | $129,740 | $114,200 | 113.6 | +2.7% |
| Oxnard | $126,360 | $114,300 | 110.5 | +2.7% |
| Santa Rosa This page | $119,930 | $111,300 | 107.8 | — |
| San Luis Obispo | $114,830 | $105,700 | 108.6 | −5.0% |
Price parity and difference against Santa Rosa are in the full table on wider screens.
Nominal against real
The same median, once as published and once restated in 2025 dollars.
Published pay rose 3.4% over the five years to 2025. Adjusted for inflation it fell 13.0% — prices rose faster than pay since 2021. The two lines meet at the right edge by construction, since 2025 is the base year.
How this page was made
- Wage data
- Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 release. Public domain.
- Price parity
- Bureau of Economic Analysis, Regional Price Parities, 2024.
- Inflation
- Real figures deflate by CPI-U annual averages (BLS, all items, US city average).
- Employment
- 130 employed in this occupation in the metro (BLS estimate; excludes the self-employed).
- Occupation
- SOC 15-2051, Data Scientists. Mapped to our taxonomy as data-scientists.
Percentiles are reported exactly as released and are never interpolated between published values. We take no payment from employers, recruiters or anyone else for how any figure is presented.