A purchasing power parity calculator converts a salary in one country to the income that buys the same lifestyle in another. A $100,000 USD New York salary equals roughly $66,000 in Lisbon, $60,000 in Mexico City, $48,000 in Chiang Mai and $33,000 in Tbilisi (OECD PPP 2026 + IMF World Economic Outlook 2026, ±5–10%).
Purchasing power parity (PPP) is the rate at which one currency would need to be converted into another to buy the same basket of goods and services in both countries. It is not a market exchange rate — it is a price-level ratio. The market rate at the time of writing puts $1 USD near €0.92, but PPP says that $1 in the United States buys roughly what €0.60 buys in Portugal, because Portuguese prices are materially lower across rent, groceries, transport and services (OECD PPP 2026).
The simplest illustration is The Economist's Big Mac Index: the same burger costs about $5.69 in the United States, €5.15 in Germany and €3.85 in Portugal. The price gap is PPP in miniature — same product, different local price level, no help from the foreign-exchange market. The IMF, OECD and World Bank produce formal PPP figures the same way at the level of the whole consumer basket, with quarterly updates from the IMF World Economic Outlook and a deeper periodic benchmark from the World Bank International Comparison Program.
For anyone weighing a move, PPP is the right yardstick — not the nominal exchange rate, not a single rent quote. A $100,000 USD salary in New York and a $100,000 USD salary in Lisbon are nominally identical but materially different lifestyles, because $1 stretches roughly 1.5× further in Lisbon than in Manhattan. Read our full PPP and cost-of-living methodology for how the indices are constructed.
Starting from a $100,000 USD US-baseline salary, the table below shows the approximate equivalent local purchasing power in ten popular relocation cities. Lower numbers mean lower local prices — your money buys more — so Tbilisi tops the "PPP gain" list. Figures come from the OECD PPP 2026 database cross-referenced with IMF World Economic Outlook 2026 country PPP rates, with city-level fine-tuning from Numbeo 2026. All figures are approximate (±5–10%).
Two practical reads: a $33K equivalent in Tbilisi is paired with a 1% small-business tax regime, which means the after-tax purchasing power is dramatically higher than the headline number suggests. A $66K equivalent in Lisbon clears Portugal's D7 passive-income visa threshold of €820/mo many times over and qualifies for the 20% IFICI regime if you work in eligible sectors. PPP is one input; tax and visa structure flip the ranking for the highest-tax destinations.
Nominal exchange rates move with capital flows, interest-rate differentials and central-bank policy. PPP rates move with price levels. The two diverge — sometimes by 30–50% — because most of what households consume (rent, haircuts, restaurant meals, healthcare) is not traded across borders, so prices stay anchored to local wages and costs. The table below shows the gap for four reference currencies (illustrative, OECD PPP 2026 + IMF WEO 2026).
| Currency (vs USD) | Nominal rate | PPP rate | Price-level ratio |
|---|---|---|---|
| EUR (Portugal) | ~0.92 EUR / $1 | ~0.60 EUR / $1 | ~0.66 |
| GBP (United Kingdom) | ~0.79 GBP / $1 | ~0.69 GBP / $1 | ~0.87 |
| THB (Thailand) | ~36 THB / $1 | ~13 THB / $1 | ~0.36 |
| MXN (Mexico) | ~17 MXN / $1 | ~10 MXN / $1 | ~0.60 |
The price-level ratio is the most useful figure: 0.36 for Thailand means the same USD buys roughly 2.8× more in Thailand than at home (1 ÷ 0.36). Conversely, ratios above 1 (Switzerland, Norway, Iceland, Singapore) mean the same dollar buys less abroad than at home. The lower the ratio, the bigger the PPP gain for an inbound earner — which is why low-PPP countries dominate the digital-nomad and FIRE communities.
The PPP calculator stitches three sources. OECD PPP 2026 is the primary methodology — peer-reviewed, transparent, used by The World Bank, the IMF and national statistical offices for cross-country GDP and income comparisons. IMF World Economic Outlook 2026 provides the same series with quarterly updates, which we use to smooth between OECD's annual revisions. World Bank International Comparison Program data underpins both. At the city level we cross-check against Numbeo 2026's bottom-up consumer basket, which adds local granularity OECD and IMF do not publish.
Most online PPP converters quote a single national figure with no sources and no uncertainty band. GeoRank does the opposite. Every layer is named-source: OECD PPP 2026 and IMF WEO 2026 for the country rate, World Bank ICP for the price-survey backbone, Numbeo 2026 for city-level granularity, and our own published correction notes for the deltas. The ±5–10% accuracy band is stated upfront, not hidden — PPP is a derived statistic, and false precision is the failure mode we work hardest to avoid.
Two more differences. First, you set the baseline. The "home" pin is the 1.00 reference, so the page answers your question — not "is Lisbon cheap" but "is Lisbon cheaper than where I live, by how much, after tax". Second, PPP is shown alongside the four layers that decide whether a destination is actually viable — tax, climate, safety and air. A cheap destination with poor air quality (Hanoi PM2.5 ~35 µg/m³) or low safety (GPI 100+) is rarely the right destination. The map exists to keep PPP honest about what it means in lived life.
Pin your home, pin a destination, and read PPP next to tax, climate, safety and air on the live map. Free, no signup.
Sources: OECD Purchasing Power Parities database 2026 · IMF World Economic Outlook 2026 (quarterly) · World Bank International Comparison Program · Numbeo 2026 · The Economist Big Mac Index 2026 · PwC Worldwide Tax Summaries 2026 (for tax-regime context). Methodology and accuracy bounds at methodology.