About SalaryScope

Salary intelligence from official government data — not self-reported surveys. No accounts. No paywalls. No ads shaping the numbers.

255+
Occupations tracked
173+
Cities covered
96
Countries with data
6
Data pipeline layers

What SalaryScope Does

SalaryScope is a salary intelligence platform. It answers three questions:

What does this job actually pay?
Median, P25, P75, P90 from BLS OEWS — 1.1 million employer payrolls, not LinkedIn self-reports.
Am I paid fairly?
The Fair Pay Score™ shows where your salary sits in the market distribution (0–100). Not just a median — a verdict.
What should I do next?
Career GPS™ recommends next career moves with expected salary gain, skill overlap, and average transition time from O*NET data.

Why we don't use self-reported surveys

Self-reported salary databases (Glassdoor, Levels.fyi, LinkedIn Salary) have well-documented biases:

  • Survivor bias — people report salaries when they're proud of them (too high)
  • Recency bias — tech bull market salaries persist long after corrections
  • Location gaps — sparse data outside major US tech hubs
  • Occupation drift — "Software Engineer" covers everything from $60k to $600k

BLS OEWS surveys 1.1 million employer establishments, weighted by industry and geography. OECD surveys national statistical agencies. These are the same sources that governments, central banks, and researchers use.

The 6-Layer Intelligence Pipeline

Our data pipeline keeps salary figures current automatically. See the full technical documentation on the Methodology page.

1
Official Data Archive— BLS OEWS, OECD, ILO, World Bank — stored permanently, never overwritten.
2
Economic Signals— Inflation, wage growth, unemployment, FX rates — fetched daily.
3
SalaryScope Estimate— Official salary adjusted forward by economic signals to reflect current conditions.
4
Enhanced Confidence Score— Source reliability + data freshness + agreement − estimated weight.
5
Data Versioning— Year-by-year archive enables 6-year salary trend and CAGR calculations.
6
Smart ISR Regeneration— Only affected pages rebuild when data changes — fast, cheap, reliable.

Data Sources

SourceWhat we use it forLatest vintage
BLS OEWSUS job salaries + metro area premiumsMay 2025 (released May 2026)
OECD AV_AN_WAGEAverage wages for 38 OECD countries2024 (released late 2025)
ILO ILOSTATWages for Singapore, India, Brazil, UAE, China…2024
World Bank GNI/capWage estimates for low-income countries2024
BLS JOLTSJob openings rate → demand multiplierMonthly
FRED (St. Louis Fed)US CPI, average hourly earningsMonthly
BLS 10-Year ProjectionsDemand growth and automation risk2023–2033
O*NET (US DOL/ETA)Career paths, skill overlap, transition ease2024
DOL H-1B Disclosure DataEmployer-submitted H-1B wage offersQuarterly
Singapore MOM OWSSingapore median wages by occupation2024

What SalaryScope Does NOT Do

✕Store personal data or require accounts
✕Accept self-reported salary submissions
✕Allow advertisers to influence salary figures
✕Sell your data to recruiters or employers
✕Use AI to generate salary numbers without source data
✕Show different figures based on who is viewing

Contact & Corrections

If you spot a salary figure that seems wrong, or have access to additional government datasets we should incorporate, we want to hear from you.

data@salaryscope.coFull methodology →Top Movers →