Nominal GDP in local currency (units of local currency; seasonally adjusted) - Denmark - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Denmark, seasonally-adjusted nominal GDP was 767,135,567,000 units of local currency in 2025-Q3, versus 752,195,994,000 in 2025-Q2. This marks a rise of 1.99 percent.
Sample. There are 123 observations overall in the quarterly time series shown in the chart above. The series covers the time span going from March 1995 to September 2025.
History. Here’s a quick look at a few descriptive statistics calculated on the whole sample: GDP had a mean value of 466,221,372,203 units of local currency; it peaked at 767,135,567,000 in September 2025; it registered a minimum of 257,595,871,000 in March 1995.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-03-31 | 752160878000.0 |
| 2025-06-30 | 752195994000.0 |
| 2025-09-30 | 767135567000.0 |
Hint. An advantage of using our web site is that we publish complete metadata. Find it below to delve deeper into the characteristics of the time series that you are exploring.
Not for investment purposes. Data series and other information hosted on FetchSeries are not intended for investment purposes or as a basis for making financial decisions. Users should obtain professional advice and do independent analysis before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Denmark |
| Economic concept | Flow |
| Data type | Nominal aggregate |
| Seasonally adjusted | Yes |
| 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.