Trust and source logic

Built on global datasets, with visible limitations.

SalaryAtlas is designed around transparent data handling. The country dataset combines public economic indicators, labour-market estimates, purchasing-power information and country metadata. Where data is weak, the product should say so instead of pretending accuracy.

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Source philosophy

The goal is not to throw random numbers onto a map. Every figure should either come from a recognised source, a documented model, or be clearly marked as an estimate.

Officialwhere available
Modelledwhere required
Flaggedwhen limited
Reviewedbefore use

Primary source categories

These are the types of sources SalaryAtlas is built to use and disclose.

World BankPopulation, GDP, GDP per capita, inflation, development indicators and broad country-level economic context.
IMFMacroeconomic estimates, fiscal indicators, debt context and country-level economic outlook data.
ILOSTAT / labour agenciesWage and labour-market data where official or semi-official datasets are available.
OECD / EurostatHigher-confidence wage, income and labour-market indicators for covered countries and regions.
UN / UNDPPopulation, development, life expectancy and quality-of-life related indicators.
Exchange-rate providersCurrency conversion data used for daily or frequently refreshed currency calculations.

What users should understand

Data quality differs sharply between countries. That is why the product uses confidence levels and warnings.

  • Income percentiles are easier to support in countries with strong wage and tax datasets.
  • Smaller economies, restricted countries and unstable regions may require broader modelling.
  • Currency conversion can change daily and does not fully capture local lifestyle cost.
  • Purchasing-power estimates are useful for comparison, but individual lifestyles vary widely.
  • Relocation, visa, work-permit and tax sections should always be checked against official sources before action.
Data correction policy. If a user spots a country figure that looks wrong, SalaryAtlas should invite corrections with a source. That builds trust and improves the dataset over time.

Found a data issue? Send the country, the figure, and the source you believe is more accurate.

Contact SalaryAtlas
SalaryAtlas is an independent global income and country intelligence project. Results are estimates for orientation, not financial, legal, immigration or tax advice.
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