Nominal GDP in local currency (units of local currency; seasonally unadjusted) - Luxembourg - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Luxembourg, seasonally-unadjusted nominal GDP was 22,026,551,000 units of local currency in 2025-Q2, compared to 21,494,072,000 in 2025-Q1. This constitutes an increase of 2.48 percent.
Sample. In this quarterly time series, there are a total of 122 data points. The time span covered by the series is from March 1995 to June 2025.
History. Here's a glimpse of some statistics calculated on the full sample: GDP had an average value of 11,033,677,590 units of local currency; it reached its highest level of 22,941,068,000 in December 2024; it hit a trough of 3,621,895,000 in September 1995.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 22941068000.0 |
| 2025-03-31 | 21494072000.0 |
| 2025-06-30 | 22026551000.0 |
Hint. One of the pros of using our web site is that we publish accurate metadata. Check it below to learn more about the properties of the indicators that you use in your work.
Not for investment purposes. Any data disseminated on this web site are not not supposed to be used for investment purposes or as a basis for financial-decision making. Users should obtain expert advice and perform independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Luxembourg |
| Economic concept | Flow |
| Data type | Nominal aggregate |
| Seasonally adjusted | No |
| Deflation method | Current 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.