Germany’s Nominal GDP per Capita Was US$60,496 in 2025
Get Germany’s 2025 GDP per capita, distinguish nominal from PPP measures, and prepare a sourced spreadsheet for a public data page.
Germany’s GDP per capita was US$60,496.44 in 2025, measured at current prices, according to the World Bank. That is the latest year in its Germany series checked on October 5, 2026. The purchasing-power-adjusted figure was 75,406.69 current international dollars per person—not US dollars converted at market exchange rates. Sources: World Bank nominal series and PPP series.
For a public spreadsheet, keep the year, indicator and unit alongside the value. A column labeled only “GDP per capita” leaves readers unable to tell which comparison they are making.
Germany’s GDP per capita, 2020–2025
The following table uses one consistent indicator: GDP per capita in current US dollars, World Bank code NY.GDP.PCAP.CD.
| Year | GDP per capita (current US$) |
|---|---|
| 2020 | 47,394.87 |
| 2021 | 52,349.25 |
| 2022 | 50,506.52 |
| 2023 | 54,776.77 |
| 2024 | 56,103.73 |
| 2025 | 60,496.44 |
Source: World Bank World Development Indicators. Values are rounded to two decimal places. The API response reports a dataset update date of July 13, 2026; that is not the observation year.
GDP per capita divides GDP by the population. It describes economic activity per person, not average salary, household disposable income or personal wealth. The World Bank’s indicator definition also specifies that current-price values are not adjusted for price changes over time. Consequently, the increase in this table should not be presented as inflation-adjusted growth.
Choose the measure before making a comparison
| Reader’s question | Measure to use | World Bank indicator |
|---|---|---|
| What is Germany’s GDP per person in current US dollars? | Nominal GDP per capita | NY.GDP.PCAP.CD |
| How does output per person compare across countries after accounting for price-level differences? | GDP per capita, PPP, in current international dollars | NY.GDP.PCAP.PP.CD |
| How has output per person changed over time after adjusting for price changes? | GDP per capita in constant 2015 US dollars | NY.GDP.PCAP.KD |
Purchasing power parity (PPP) accounts for different price levels across countries. It is useful for cross-country output comparisons, but current international dollars are still a current-price measure. For an inflation-adjusted time series, use a constant-price indicator. See the World Bank’s definitions for PPP GDP per capita and constant-price GDP per capita.
If you add France, Poland or the United States, select a shared observation year and the same indicator for every country. Do not rank Germany’s nominal value against another country’s PPP value.
Prepare the spreadsheet for publication
Use one row per country, year and indicator. This compact sample contains the two sourced 2025 observations, rounded for display:
country,iso3,year,indicator_code,unit,value
Germany,DEU,2025,NY.GDP.PCAP.CD,current US$,60496.44
Germany,DEU,2025,NY.GDP.PCAP.PP.CD,current international $,75406.69
Before publishing:
- Keep values numeric. Store
60496.44, not$60,496.44, in the value field. - Preserve provenance. Include source URLs, the retrieval date and the source dataset’s update date in a companion dataset reference sheet.
- Keep missing observations distinct from zero. Leave missing values blank and explain that convention.
- Separate incompatible units. Do not combine nominal and PPP rows into an unlabeled ranking or chart.
TablePage accepts CSV, TSV, XLSX and XLS files and publishes them as public, shareable dataset pages with filterable tables. Upload only the reviewed public dataset—not a workbook containing private notes or sensitive information.
For the six-year nominal table above, a useful page title is “Germany GDP per capita, 2020–2025 — current US$.” Add a visible source note and state that the series is not inflation-adjusted. After publication, check that the values remain numeric, the years are ordered correctly, and readers can identify the unit and source without opening the original spreadsheet.