Data Analyst Hourly Pay in Richmond, CA: $35.69 (2026)
Quick Answer:Hourly pay for a data analyst working in Richmond, CA runs $35.69 at the median for 2026 — annualizing to $74,231 at a standard 2,080-hour year. Figures projected from BLS OEWS 2025 (SOC 15-2051). Weighted against Richmond's regional price level (BEA RPP 113.1, 13% above national), each hour of work buys what $31.56 nationally would. A 24-hour part-time schedule grosses $44,542 per year.
Based on BLS state-level estimates · View source
In Richmond, California, data analysts can expect to earn a median hourly pay of $35.69 in 2026, which falls below the national median of $38.65. This difference could impact part-time or per-diem analysts who typically work a schedule of three days a week. For a 24-hour work week, a Richmond-based data analyst would earn approximately $858 weekly, translating to around $44,616 annually if they remained consistent. The hourly pay range in Richmond spans from $20.70 for entry-level positions (P10) to $55.31 for top earners (P90). This variability allows individuals in this field to explore diverse job environments, from technical company offices and remote settings to specialized roles in pharma AI research or quantitative trading teams.
About the Richmond Market
Salary estimated from California average ($155,000) adjusted for local cost of living.
Data Analyst Hourly Wage Breakdown
| Percentile | Hourly Rate | Per 8hr Shift |
|---|---|---|
| Entry Level (P10) | $20.70 | $165.58 |
| Lower Range (P25) | $25.69 | $205.53 |
| Median (P50) | $35.69 | $285.52 |
| Upper Range (P75) | $45.68 | $365.43 |
| Top Earners (P90) | $55.31 | $442.49 |
Estimated Annual Income by Work Schedule in Richmond
Based on $35.69/hr median hourly rate · 2026 est.
At $35.69/hr, a data analyst working full-time (40 hr/wk) in Richmond, CA can expect to earn approximately $74,236 per year (2026 est.). Part-time hygienists working 24 hours per week would earn around $42,828. With a cost-of-living index of 113.10 (above the national average), these earnings may be offset by higher expenses in Richmond.
Hourly Rate Calculator
Schedule Comparison in Richmond
| Schedule | Weekly | Monthly | Annual |
|---|---|---|---|
| Full-Time (40 hrs) | $1,427.61 | $6,186 | $74,236 |
| Part-Time (24 hrs) | $856.57 | $3,712 | $44,542 |
| Per Diem (16 hrs) | $571.05 | $2,475 | $29,694 |
Compare DA Wages With Similar Roles
| Role | Median Hourly |
|---|---|
| Data Analyst (Richmond) | $35.69 |
| Data Analyst (National Avg) | $40.39 |
| Software Developer (National Avg) | $64.54 |
| Machine Learning Engineer (National Avg) | $66.77 |
| Statistician (National Avg) | $50.61 |
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.
Data Analyst Hourly Pay vs. Cost of Living
Working 24h/week at $35.69/hr = $44,542/year (purchasing power: $39,382).
Working 40h/week (full-time) = $74,236/year (purchasing power: $65,637).
CoL index: 113.1 (100 = national average).
2021 BLS Actual
$28.67/hr
2025 BLS Actual
$34.16/hr
2026 Current Est.
$35.69/hr
2021–2027 Growth
+30.1%
Hourly Rate Trajectory for Data Analysts in Richmond (2021–2027)
2021–2025: actual BLS OEWS data for this metro area. 2026+: CAGR 4.48% projection.
| Year | Hourly Rate | Status |
|---|---|---|
| 2021 | $28.67/hr | Actual |
| 2022 | $29.41/hr | Actual |
| 2023 | $30.69/hr | Actual |
| 2024 | $85.88/hr | Actual |
| 2025 | $34.16/hr | Actual |
| 2026(current) | $35.69/hr | Estimated |
| 2027 | $37.29/hr | Projected |
Based on 5 years of BLS OEWS metropolitan area data, the median hourly rate for data analysts in Richmond grew 19.1% from $28.67/hr (2021) to $34.16/hr (2025). At a 4.48% projected growth rate, hourly pay is expected to reach $37.29/hr by 2027. Part-time and per-diem data analysts can use this multi-year trend to benchmark future contract negotiations.
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.
Working as an Hourly Data Analyst in Richmond
For those opting for part-time roles or per-diem contracts, the earning dynamics shift considerably. A part-time analyst averaging 24 hours per week would earn over $44,616 annually versus a full-time counterpart, showcasing the flexibility of part-time work. Per-diem positions in Richmond can significantly boost earnings, with typical hourly rates around $100-$200 for data science consulting, climbing even higher for specialized roles like machine learning engineering consultants, where rates can hit $200-$400. Employing a strategy that favors locations with larger tech firms or consulting agencies can increase earning potential. However, many analysts may trade higher hourly rates for benefits such as health insurance and retirement contributions. Negotiating hourly pay in Richmond can articulate the trade-offs of stability versus higher compensation, especially for those considering moving between the research-oriented and engineering-focused roles in the data science field.
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
Hourly wage figures on this page are 2026 projections based on the Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS) survey, May 2026 release. A 4.48% compound annual growth rate (CAGR), derived from 6-year national BLS wage trends, was applied to estimate current 2026 hourly rates for data analysts in Richmond. Part-time and full-time income estimates assume consistent weekly hours and do not account for overtime, benefits, or seasonal variation.
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