Download the salary benchmark dataset

Attribution

If you use the data, please credit it with this line:

Data via checkmypayrate.com (OECD/Eurostat-derived salary benchmarks)

Fields

Both files carry one record per country and sector with the fields country_code, country_name, sector, monthly_value, annual_value, currency, reference_year, source and last_updated. The JSON file adds a top-level metadata object with the dataset name, source, license, reference year and generation timestamp.

How the figures are constructed

Each record is produced in three steps. First, the national average gross annual wage for the country is taken from the official source series. Second, a sector ratio is applied — the pay level of that industry relative to the whole economy, expressed as a multiplier such as 1.58 for information and communication. Third, the two are multiplied to produce the sector benchmark, rounded and stored in the country's own currency. Monthly values are the annual figure divided by twelve; no seasonal or bonus-month adjustment is applied. The full chain, including which industries map to which statistical activity codes, is documented on the methodology page.

Limitations you should state when reusing it

• All values are gross, before income tax and social contributions, and before any employer-side costs.
• Figures are national full-time-equivalent averages: they are not adjusted for region, city, seniority, job title, company size or part-time hours.
• Sector ratios are applied uniformly across countries where a national breakdown is unavailable, which smooths out genuine country-specific industry differences.
• Currency values are not converted or purchasing-power adjusted, so cross-country comparison of raw amounts requires your own conversion.
• The reference year reflects the latest complete official statistics and is therefore usually one to two years behind the current calendar year.

Using the files programmatically

Both endpoints are public, require no key and return the same current dataset the calculator uses, so they can be fetched directly from a script, a notebook or a spreadsheet. The CSV is UTF-8 encoded with a header row and comma separators; the JSON is a single object with a metadata block and a records array. Records are stable: a country and sector pair keeps the same codes between refreshes, so you can join against an earlier export to track changes over time. Please cache rather than polling — the dataset only changes once a day.

Questions and corrections

If you need a specific extract — one sector across all countries, or an earlier reference year — or you believe a value is wrong, get in touch through the contact page with the country, sector and the official source you are comparing against. Confirmed corrections are applied to the dataset itself, so the downloads, the calculator and every country page update at the same time.