Compliance Officer vs Insurance Agent: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Compliance Officer
Ensure the organisation adheres to legal and regulatory requirements.
Insurance Agent
Sell and service insurance products for individuals and businesses.
Compliance Officer earns more on average — the national median is $28,155/year (54%) higher than a Insurance Agent. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Compliance Officer vs Insurance Agent — Salary by City
National median figures in USD across top cities.
| City | Compliance Officer | Insurance Agent | Difference |
|---|---|---|---|
| San Francisco, CA | $116,110 | $76,630 | Compliance +$39,480 |
| New York, NY | $95,560 | $64,658 | Compliance +$30,902 |
| Seattle, WA | $112,100 | $76,490 | Compliance +$35,610 |
| Austin, TX | $91,160 | $60,418 | Compliance +$30,742 |
| Chicago, IL | $87,128 | $56,339 | Compliance +$30,789 |
| Boston, MA | $106,920 | $67,008 | Compliance +$39,912 |
| London, UK | £64,665 | £40,898 | Compliance +$23,767 |
| Toronto, Canada | CA$108,867 | CA$71,763 | Compliance +$37,104 |
Frequently Asked Questions
Does a Compliance Officer or Insurance Agent earn more?+
A Compliance Officer earns more on average. The national median salary for a Compliance Officer is $80,730/year, compared to $52,575/year for a Insurance Agent — a difference of $28,155 (54%).
Which has better career growth — Compliance Officer or Insurance Agent?+
Compliance Officer roles are growing at 18% YoY while Insurance Agent demand is growing at 6% YoY. Compliance Officer has stronger near-term demand growth.
Can you switch from Compliance Officer to Insurance Agent?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: Risk Assessment.
Which is harder to automate — Compliance Officer or Insurance Agent?+
Insurance Agent has a lower AI automation risk (42% vs 55%). Based on Oxford Martin School and McKinsey 2023 analysis.