Real GDP in local currency (units of local currency; seasonally adjusted) - Luxembourg - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Luxembourg, seasonally-adjusted real GDP stood at 13,872,278,689 units of local currency in 2025-Q2, versus 13,792,223,735 in 2025-Q1. This represents a gain of 0.58 percent.
Sample. This quarterly series has 122 records overall. The time range covered by the series extends from March 1995 to June 2025.
History. Here's a glimpse of a few statistics computed on the entire sample: GDP had a mean of 10,416,661,808 units of local currency; it recorded a maximum of 14,197,406,150 in December 2021; it registered a minimum of 5,966,188,684 in December 1995.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 13693190587.3847 |
| 2025-03-31 | 13792223734.6312 |
| 2025-06-30 | 13872278689.078 |
Hint. To simplify complex analyses, we organize time series into worksheets and datasets. By moving down the page, you will discover how we arranged further information linked to the statistics found here.
Not for investment purposes. Data and any other information disseminated on FetchSeries are not suitable for investment purposes or as a basis for making financial decisions. Users should seek professional advice and perform independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Luxembourg |
| 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.