About Wages Atlas

What We Cover

The site brings together five connected layers of data and tooling, each of which can be reached from the home page:

• 38 OECD economies, from North America and Europe to Asia-Pacific and Latin America, each with its own country page.
• PPP-adjusted average annual wages, expressed in comparable U.S. dollars so values can be read side by side.
• Long-run wage trends, drawn from reported historical series that keep their real shape instead of a smoothed line.
• Category price levels for everyday spending areas — Food, Clothing, Housing, Health, Transport, Recreation and Restaurants — benchmarked against the United States.
• Country comparison tools, including a side-by-side comparison page and focused tools for wage trends, same-year comparisons and custom price mixes.

The wage layer and the price layer are deliberately kept separate everywhere on the site. A country page shows both, but always under their own labels and observation years, so a wage number and a price number can never be mistaken for one combined score.

Why We Built It

Much of the publicly available economic data is genuinely difficult to read: raw tables, inconsistent year coverage, and figures that mix measurement conventions without saying so. Wages Atlas exists to lower that barrier.

• We organise scattered data from official statistical sources into one consistent structure.
• We provide a single, unified way to read it — the same benchmark, the same categories, the same wage definition on every page.
• We label every year a value was observed, so numbers from different periods are never quietly merged.
• We use charts and visual comparisons to reduce the effort of understanding a table of 38 economies.
• We never hide missing data — a gap is shown as a gap, not estimated away.

The result is a site where a question like "how do wages and everyday prices in two economies actually compare" can be answered in a few clicks, with every number still traceable to the dataset it came from.

Our Data Principles

• Use public, traceable data — every figure traces back to a named provider and dataset.
• Never invent missing values — no interpolation, no zero-fill, no silent substitution.
• Never blur years together — observation years stay attached to their values.
• State data sources openly — provider, dataset, coverage and review dates are published in the Data Guide.
• Re-check the data regularly — each review pass updates the "Data reviewed" label.
• No unexplained composite scores — wages and prices stay separate measures; we do not blend them into a single ranking number.

Who This Site Is For

Wages Atlas is written for a general reader, not only for economists. It is useful if you are:

• a general reader curious about how wages compare across different countries;
• a student or researcher who needs a quick, clearly-sourced frame for wage and price data;
• a job seeker or someone considering relocation, checking how a destination economy compares today;
• anyone who needs a fast, honest comparison of economic data without building a spreadsheet.

The site is an information tool, and it cannot replace professional advice — financial, legal, tax or otherwise. Please read our Disclaimer and Terms of Use for the boundaries of what this data can and cannot tell you.

How the Site Is Organised

Most visits start in one of three places. The Countries page is the data explorer: sortable wage and price tables covering all 38 economies, with a mobile-friendly list view. The country page goes deeper on one economy — its wage history, category price levels and context against other economies. The Compare page puts two economies side by side, from headline wages to category-level price gaps.

Four focused tools extend those views: a wage converter between pay periods, a wage trend explorer, a same-year wage comparison, and a custom price mix builder. The Data Guide explains where every number comes from, and the Glossary defines every term the site uses.

Contact

Questions, corrections and source feedback are welcome.

Contact: [email protected]