Scoring methodology & data
Public by design. Updated 2026-10-07
The matching score (0–99) is computed in three tiers: T1 hard constraints (budget/visa/safety, veto-only, never weighted); T2 core matching (preferences 42% + personality 30% + interests 18%, missing dimensions dropped without penalty); T3 boosters (RIASEC 5% + risk-link 3% + air quality 2%, ≤10% total). Raw score calibrated as 52 + raw × 0.46.
Tier 2: 11 preference dimensions
- Budget
- Climate
- Pace / Social
- Size / Language / Visa / Remote
- Climate comfort
- Safety
- English depth
Within preferences: user-reported 8 dims sum to 0.86, objective 3 dims sum to 0.14. Missing dims are dropped from numerator and denominator (down-weight, never penalised).
Tier 3: boosters (≤10%)
- RIASEC interest boost
- Risk-profile link
- Air quality
Data sources & licences
- GeoNames cities15000
- Open-Meteo Historical / Air Quality
- Public English-proficiency ranking / World Bank / UNDP / Transparency International / IEP
- OEJTS 1.2
- WHO Global Air Quality Guidelines 2021
- Typefaces Fraunces / Newsreader / Manrope / system CJK
Update cadence & disclaimer
City/country pages are generated from snapshot data at build time (built 2026-10-07); public statistical estimates are reviewed quarterly; climate & air are 2022–2024 multi-year means; visa/tax snapshots carry per-page dates. This site is decision support and is not immigration, visa, legal, tax, medical, or financial advice; quiz results are algorithmic outputs, not clinical assessments.
Career interest framework: O*NET Interest Profiler Short Form — CC BY 4.0, O*NET OnLine (sponsored by the U.S. Department of Labor).
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