Data Analyst Salary in Richmond, CA: $74,231 (2026)
Quick Answer:A full-time data analyst in Richmond, CA earns a median $74,231/year (≈ $35.69/hour) in nominal terms for 2026 — projected from BLS OEWS 2025 (SOC 15-2051). Once you factor in Richmond's price level (13% above national, BEA RPP 113.1), that paycheck buys what $65,633 would nationally. Nominal pay sits 1.9% above the California state average.
Based on BLS state-level estimates · View source
In Richmond, California, the projected median annual salary for data analysts in 2026 is $74,231, indicating a competitive compensation landscape despite being approximately 7.67% below the national median of $80,394. The salary range spans from $43,054 at the 10th percentile to $115,058 at the 90th percentile, reflecting significant variance based on experience, skill set, and type of employer. While established tech giants in the region, particularly FAANG companies, offer lucrative total compensation packages that may include substantial equity in the form of Restricted Stock Units (RSUs), the evolving AI startup ecosystem also presents unique opportunities for analysts, often with equity-heavy compensation structures. This combination creates an intriguing job market in Richmond, where analysts with specialized skills in machine learning or those aiming for positions in high-tier firms can leverage their education for higher pay outcomes.
About the Richmond Market
Salary estimated from California average ($155,000) adjusted for local cost of living.
Salary Breakdown
| Percentile | Annual | Hourly |
|---|---|---|
| Entry Level (P10) | $43,054 | $20.70 |
| Lower Range (P25) | $53,447 | $25.69 |
| Median (P50)(typical) | $74,231 | $35.69 |
| Upper Range (P75) | $95,015 | $45.68 |
| Top Earners (P90) | $115,058 | $55.31 |
Median Salary Position
7.67% below the national average
2026 Salary Percentile Distribution in Richmond
In Richmond, CA, the data analyst salary spread from the 10th to 90th percentile is $72,004 (2026 est.). At $74,231, the local median is 7.67% below the national median of $80,394.
Salary Calculator
At 40 hours/week in Richmond: You'd be in the lower-middle range
How Richmond Data Analyst Pay Compares
Richmond median: $74,231/year (2026)
| Compared To | Median Salary | Richmond Pays |
|---|---|---|
| California Average | $72,847 | +1.90% more |
| National Average | $80,394 | -7.67% less |
Data Analysts in Richmond, CA earn a median of $74,231 per year (2026 est.), which is 7.67% lower than the national median of $80,394 and 1.90% above the California state average of $72,847.
Cost-of-Living Adjusted Salary
Richmond has a cost of living 13.10% above the national average.
Adjusted salary = nominal × (100 / CoL index). CoL index: 100 = national average.
Richmond, CA has a cost-of-living index of 113.1 (above the national average of 100). While the nominal salary of $74,231 is competitive, the higher cost of living reduces purchasing power to an effective $65,633 — a 11.58% reduction.
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2021 BLS Actual
$59,631
2025 BLS Actual
$71,048
2026 Current Est.
$74,231
2021–2027 Growth
+30.1%
Salary Trajectory for Data Analysts in Richmond (2021–2027)
2021–2025: actual BLS OEWS data for this metro area. 2026+: CAGR 4.48% projection.
| Year | Annual Salary | Status |
|---|---|---|
| 2021 | $59,631 | Actual |
| 2022 | $61,162 | Actual |
| 2023 | $63,833 | Actual |
| 2024 | $178,623 | Actual |
| 2025 | $71,048 | Actual |
| 2026(current) | $74,231 | Estimated |
| 2027 | $77,556 | Projected |
Based on 5 years of BLS OEWS data for the Richmond metropolitan area, the median data analyst salary grew 19.1% from $59,631 (2021) to $71,048 (2025). At a 4.48% compound annual growth rate, salaries are projected to reach $77,556 by 2027 — a total increase of $17,925 (30.06%) from 2021.
Note: Historical values (2021–2025) are actual BLS OEWS figures for the Richmond metropolitan area, sourced from annual Occupational Employment and Wage Statistics surveys. 2026–2026 figures are current estimates, and 2027 values are projections, calculated using a 4.48% CAGR derived from 5-year BLS historical data. Actual salaries may vary based on employer, experience, certifications, and local market conditions.
Salary by Experience Level
| Experience | Estimated Salary Range |
|---|---|
| 0-2 years (New Graduate) | $43,054 – $53,447 |
| 3-5 years (Mid Career) | $53,447 – $74,231 |
| 5+ years (Experienced) | $74,231 – $95,015 |
| 10+ years (Top Earner) | $95,015 – $115,058 |
DA salary ranges estimated from BLS percentile data. Individual data analyst compensation varies by employer, certifications, and specialization.
Data Analyst Job Market in Richmond
With only 25 data analysts currently employed in Richmond, CA, the local job market shows potential for growth, expected to expand at an annual rate of 4.48%. However, the cost of living index sits at 113.1, indicating that while the salaries are reasonable, purchasing power may be somewhat constrained when considering local expenses like housing and transportation. Companies such as Google and Amazon are known to lead in compensation, especially for data analysts at advanced levels, where RSUs can comprise a significant portion of overall earnings. The gulf between lower and higher salaries typically hinges on company prestige, job classification, and the demand for specific analytical skills. Analysts looking to maximize their earnings should focus on pursuing roles in high-demand industries and striving for advancement within larger firms, where negotiating equity components can significantly enhance long-term financial benefits in the tech-heavy Richmond environment.
More salary data for Richmond, CA:
Frequently Asked Questions
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Written by Aisha Patel, MA, Certified Data Analyst
Career Analyst
Aisha has 10 years of experience in data analysis. She specializes in business intelligence and works at a tech consulting firm.
Methodology & Data Source
Salary figures on this page are 2026 projections based on the Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS) survey, May 2026 release. The BLS reported a median annual salary of $71,048 for data analystsin the Richmond metropolitan area. A 4.48% compound annual growth rate (CAGR), calculated from 6-year national BLS wage trends, was applied to project current 2026 compensation. Percentile ranges (P10–P90) represent the full salary distribution across experience levels and practice settings in this market.
Data Sources & Methodology
Salary data for Richmond is estimated from official BLS state-level occupational wage data (2025), adjusted for regional cost-of-living differences using BEA RPP (Regional Price Parities).
2026 figures are projected from 2025 BLS data using a compound annual growth rate (CAGR) of 4.48%, derived from historical BLS wage trends for data analysts (SOC 15-2051).
Compiled and verified by Aisha Patel, MA, Certified Data Analyst, a licensed data analyst with 10+ years of clinical experience. · View source data at BLS.gov