UX Researcher vs Blockchain Developer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
UX Researcher
Conduct user research to guide product design and strategy decisions.
Blockchain Developer
Build decentralised applications and smart contracts on blockchain.
Blockchain Developer earns more on average — the national median is $31,980/year (31%) higher than a UX Researcher. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
UX Researcher vs Blockchain Developer — Salary by City
National median figures in USD across top cities.
| City | UX Researcher | Blockchain Developer | Difference |
|---|---|---|---|
| San Francisco, CA | $149,234 | $192,216 | UX $42,982 |
| New York, NY | $125,371 | $166,830 | UX $41,459 |
| Seattle, WA | $144,039 | $197,295 | UX $53,256 |
| Austin, TX | $118,454 | $148,358 | UX $29,904 |
| Chicago, IL | $112,671 | $149,793 | UX $37,122 |
| Boston, MA | $134,489 | $179,964 | UX $45,475 |
| London, UK | £82,714 | £104,478 | UX $21,764 |
| Toronto, Canada | CA$136,619 | CA$182,210 | UX $45,591 |
Frequently Asked Questions
Does a UX Researcher or Blockchain Developer earn more?+
A Blockchain Developer earns more on average. The national median salary for a UX Researcher is $104,000/year, compared to $135,980/year for a Blockchain Developer — a difference of $31,980 (31%).
Which has better career growth — UX Researcher or Blockchain Developer?+
UX Researcher roles are growing at 18% YoY while Blockchain Developer demand is growing at 30% YoY. Blockchain Developer has stronger near-term demand growth.
Can you switch from UX Researcher to Blockchain Developer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — UX Researcher or Blockchain Developer?+
Blockchain Developer has a lower AI automation risk (30% vs 40%). Based on Oxford Martin School and McKinsey 2023 analysis.