Nominal GDP in local currency (units of local currency; seasonally adjusted) - Norway - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Norway, seasonally-adjusted nominal GDP stood at 1,338,918,000,000 units of local currency in 2025-Q2, compared to 1,377,981,000,000 in 2025-Q1. This represents a reduction of 2.83 percent.
Sample. There are 190 data points in the quarterly time series shown in the figure above. The period covered by the series extends from March 1978 to June 2025.
History. Here are some summary statistics we computed on the entire sample: GDP attained a maximum of 1,635,372,000,000 units of local currency in September 2022; it hit a trough of 58,035,000,000 in March 1978; it had a mean of 489,504,747,368.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 1313343000000.0 |
| 2025-03-31 | 1377981000000.0 |
| 2025-06-30 | 1338918000000.0 |
Heads-up. For easier exploration, we categorize time series into data sets and worksheets. Scrolling downwards, you will discover how we arranged further material linked to the statistics provided here.
Not for investment purposes. Any financial data published on this web site are not suitable for investment purposes or other financial decisions. Users should obtain expert advice and perform their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Norway |
| 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.