Real GDP in local currency (units of local currency; seasonally unadjusted) - Euro Area - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In the Euro Area, seasonally-unadjusted real GDP was 2,868,432,239,336 units of local currency in 2025-Q3, compared to 2,861,089,041,803 in the previous quarter. This represents a gain of 0.26 percent.
Sample. This quarterly time series has 123 data points in total. The time period covered by the series is from March 1995 to September 2025.
History. Take a look at some simple statistics computed on the whole sample: GDP had a mean value of 2,393,745,848,858 units of local currency; it reached a minimum of 1,814,828,939,510 in March 1995; it reached its highest level of 2,909,132,607,028 in December 2024.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-03-31 | 2815267607472.6 |
| 2025-06-30 | 2861089041803.3 |
| 2025-09-30 | 2868432239335.6 |
Hint. Our metadata often comprise references to the sources of the data we provide. You can use these references to discover more details.
Not for investment purposes. Data released on this web site are not meant for investment purposes or any other financial decision. Users should seek expert advice and perform their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Euro Area |
| 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.