Real GDP in local currency (units of local currency; seasonally unadjusted) - Germany - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Germany, seasonally-unadjusted real GDP was 767,064,932,506 units of local currency in 2025-Q3, compared to 750,465,907,221 in 2025-Q2. This constitutes an increase of 2.21 percent.
Sample. There are 139 observations in the quarterly series displayed in the plot above. The series covers the time range extending from March 1991 to September 2025.
History. Here are some summary statistics we computed on the full sample: GDP averaged 650,385,166,135 units of local currency; it achieved a maximum of 782,567,106,125 in December 2022; it recorded a bottom of 504,990,509,216 in March 1991.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-03-31 | 764724978892.566 |
| 2025-06-30 | 750465907220.621 |
| 2025-09-30 | 767064932506.179 |
Suggestion. To facilitate exploration, we organize indicators into worksheets and datasets. By scrolling down, you will discover how we arranged further information related to the statistics published here.
Not for investment purposes. Financial data released on this web site are not suitable for investment purposes or any other financial decision. Users should seek expert advice and perform independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Germany |
| Economic concept | Flow |
| Data type | Real aggregate |
| Seasonally adjusted | No |
| Deflation method | Constant prices |
| Rescaling | None |
| Measure type | Level |
| Frequency | Quarterly |
| Unit | Units of local currency |
| Source | International Monetary Fund |
| Source type | International organization |
| Data licence | Free reuse subject to conditions |
| Other information | Not available |
| FSR temporal aggregation code | SM03 |
Series in the same data set
Discover the other time series included in this data set.