How the data works
Methodology and practical guides about how World Career Atlas maps occupations, compares salaries, estimates admissions, reads outlook data and reviews user contributions.
How World Career Atlas maps occupations across countries
Why local job titles are preserved, how O*NET is used as a baseline, and why some roles stay unmapped until review.
Read articleMethodologyHow salary data is normalized and compared
How official salary rows are kept comparable while still preserving source year, country, currency and metric type.
Read articleMethodologyHow admissions estimates differ by country
Why exact cutoffs, admission rates, GPA, SAT and ACT signals cannot be treated the same across all countries.
Read articleMethodologyHow ratings and submissions are reviewed
How user contributions can improve the site without allowing spam, review bombing or unsafe personal data handling.
Read articleMethodologyHow to compare software developer salaries across countries
How to read software developer salary pages without mixing countries, regions, currencies, years or salary definitions.
Read articleMethodologyHow PPP-adjusted salary comparison works
Why purchasing power parity can make salary comparisons more useful, and why raw salary data still matters.
Read articleMethodologyHow admission systems differ between countries
Why course cutoffs, GPA, SAT, ACT, admission rates and holistic admissions should not be treated as one universal score.
Read articleMethodologyHow to read occupation outlook data
How projected growth, annual openings and industry mix can help users understand future labour-market demand.
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