Relocation Hub
Should you actually move?
The Relocation Decision Engine compares your current city to any target city on a real, after-tax, after-COL basis — not just headline salary.
A 25% raise in a city with 40% higher housing is a pay cut. The Relocation Decision Engine reconciles salary, federal and state/provincial tax, cost-of-living index, and median housing into a single Real Income Delta — what your paycheck actually buys in the new city — plus a 0–100 Relocation Score with a Strong Move / Worth Considering / Neutral / Costly Move verdict.
Inputs the engine considers
- Current city + target city
- Current salary + (optional) target salary
- State/provincial tax differential
- Cost-of-living index
- Rent or mortgage delta
- Quality-of-life score from the Life Impact Engine
What you get back
A side-by-side dashboard showing real net pay in each city, the housing delta, a Financial Improvement Score, a Quality-of-Life Delta, and a final Relocation Score. Premium reports include a 5-year projected savings comparison and a city-fit narrative.
Common moves we model well
NY → Austin, SF → Raleigh, Toronto → Calgary, Boston → Nashville, Vancouver → Halifax — and 400+ metros across both countries.
Published and reviewed by
Keiron Brown
Founder & Editor, SalaryScopePro · Relationale LLC
5530 S. University Drive, 3212, Davie, FL 33328
Keiron Brown is the founder of Relationale LLC and the editor of SalaryScopePro. He is a psychologist by training. He is not a recruiter, compensation consultant, financial adviser, accountant, or attorney, and nothing on this site is career, financial, legal, or tax advice.
How these figures are produced: SalaryScopePro publishes salary ranges, cost-of-living comparisons, and career reference material built from published datasets. Figures are traceable to the primary sources listed on our methodology page, and pages are reviewed on a fixed schedule so that stated figures match their source. Methodology.
Last reviewed: by Keiron Brown. Pages carrying salary, cost-of-living, or market figures are reviewed quarterly. Explanatory and definitional content is reviewed annually. Corrections are made promptly when an error is reported. Report a correction.