PPP Salary Comparison Calculator

Purchasing power parity adjusts salaries for what they actually buy rather than what they nominally pay. The same figure supports very different living standards in different places, because the basket of goods behind it costs different amounts. The World Bank, along with the OECD and the IMF, publishes conversion factors annually for exactly this purpose.

The direction of the factor is where this calculator needs care, because it does not follow the convention the published data uses. Here, real value is salary multiplied by the factor, so a higher factor produces a higher real value. Published price-level data runs the other way: a country where goods are cheaper has a lower index. Eurostat’s comparative price levels for 2025 put Denmark 40% above the European Union average and Hungary at 39% of it, meaning the same money goes furthest in Hungary and least far in Denmark.

Converting between the two is a single step. Where a price-level figure says goods in the target country cost 70% of what they cost at home, the factor to enter is the reciprocal, 1 divided by 0.7, which is about 1.43. Entering 0.7 instead reverses the comparison: the calculator returns 5.00% where the reciprocal returns 114.29%. That difference is not a rounding issue, it is the whole answer.

Run it with sensible defaults

Using a home salary of 50,000 at a factor of 1 and a target salary of 75,000 at a factor of 0.7, the calculator returns 5.00%. Home real value is 50,000, target real value is 52,500, the nominal difference is 25,000 and the purchasing-power-adjusted difference is 2,500.

That result depends entirely on the 0.7 being a purchasing-power multiplier rather than a price level. Read as a price level, where target goods cost 70% of home goods, the correct entry is 1.43 and the answer becomes 114.29%. Read literally as entered, the calculator is saying each unit of target currency buys 0.7 of what a home unit buys, which is a target country that is more expensive, not cheaper.

The levers in this calculation

Home Country Salary, Target Country Salary, Home PPP Factor and Target PPP Factor all enter the result in the same proportion: a 1% change in any one of them moves the PPP-adjusted change by about 21%. That leverage comes from the result being a percentage difference between two similar numbers, so a small movement in either side is large relative to the gap between them.

The factors carry the same weight as the salaries, which is the practical reason the direction matters so much. Setting the target factor to 1.4 rather than 0.7 takes the result from 5.00% to 110%. Setting it to 0.3 takes it to minus 55%. Where both factors are equal, the result collapses to the plain nominal difference, 50% on these figures, because the adjustment cancels.

How the math works

Real value is salary multiplied by the PPP factor, for each side. The percentage change is the target real value less the home real value, divided by the home real value, multiplied by 100.

Both salaries are treated as already being in comparable units, so a target salary quoted in another currency needs converting to the home currency first, at the market rate, before the purchasing-power factor is applied. The two adjustments do different jobs: the exchange rate converts the units, and the factor adjusts for what those units buy.

What the headline number hides

The result is a comparison of gross figures. Income tax, social contributions, pension arrangements and any payroll deductions differ between countries by more than most salary differences do, and none of them appears here. Two salaries with identical purchasing-power-adjusted values can leave very different amounts in a bank account.

Published factors also describe an average national basket rather than any individual’s spending. Someone whose budget is dominated by rent in a capital city faces a different price level from the national average, and someone who spends little on housing faces another. The factor is a starting point that a personal budget can move in either direction.

What this doesn't capture

Housing is the largest single divergence between locations and is often understated by a national average, since capital-city rents can sit far above the country as a whole. Healthcare, schooling and childcare vary by whether they are publicly funded, which can shift a comparison more than the salary difference does.

The calculation also assumes a permanent move. Relocation costs, the timing of the first pay cheque, currency risk on any savings kept at home, and the cost of moving back all sit outside it. The output is a purchasing-power baseline for two gross salaries, and the decision around it needs the rest.