Algorithmic Scoring Methodology & Data Architecture
Where to Live Quiz™ was engineered to eradicate the opaque, ad-infested "personality quiz" model that plagues relocation research. Here is the complete mathematical and architectural foundation underlying our city compatibility scores.
1. The Mathematical Proximity Model
Our scoring engine benchmarks user input vectors against a normalized matrix of 320 US Metropolitan Statistical Areas (MSAs). Each metro record contains continuous parameters normalized onto a scale of 0.0 to 1.0 across affordability, climate, sunshine, population density, tax burdens, career expansion, and cultural amenities.
Where u_i represents the normalized user preference, c_i represents the verified municipal metric, and w_i represents the priority weight (1.0 to 3.0). Matches are calculated in under 15ms in client memory.
2. Data Source Integrity & Update SLAs
We do not scrape unverified crowdsourced blogs or accept paid commercial placement from municipal tourism boards. Every datapoint in our matrix originates directly from primary governmental and academic statistical repositories.
Our research desk maintains a strict 12-month re-indexing SLA for annual Census population revisions, quarterly BLS wage reports, and biannual statutory tax legislative updates passed by state assemblies.
3. Commercial Independence & Privacy Guarantee
Where to Live Quiz™ operates under a strict anti-harvesting doctrine. We do not sell your relocation preferences or personal email to real estate lead aggregators, timeshare operators, or moving brokerages. Your quiz selections serialize strictly to your browser's URL query string, giving you complete sovereignty over who views your results.