Real GDP in local currency (units of local currency; seasonally adjusted) - France - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In France, seasonally-adjusted real GDP was 593,573,331,768 units of local currency in 2025-Q3, compared to 590,594,792,947 in 2025-Q2. This constitutes a rise of 0.50 percent.
Sample. The quarterly time series plotted above has 183 data points overall. The time span covered by the series is from March 1980 to September 2025.
History. Here are a few summary statistics we computed on the full sample: GDP was equal on average to 437,834,992,707 units of local currency; it reached a trough of 274,074,442,699 in December 1980; it hit a maximum of 593,573,331,768 in September 2025.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-03-31 | 588629253787.13 |
| 2025-06-30 | 590594792947.234 |
| 2025-09-30 | 593573331767.713 |
Hint. Our metadata often comprise references to the original sources of the data series we publish. You can use these references to search for additional information needed in your research.
Not for investment purposes. Data and any other information released on this web site are not suitable for investment purposes or as a basis for making financial decisions. Users should ask for expert advice and perform independent analysis before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | France |
| Economic concept | Flow |
| Data type | Real aggregate |
| Seasonally adjusted | Yes |
| 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.