Real GDP in local currency (units of local currency; seasonally unadjusted) - Sweden - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Sweden, seasonally-unadjusted real GDP was 1,232,858,677,954 units of local currency in 2025-Q4, compared to 1,080,213,608,753 in the previous quarter. This represents a rise of 14.13 percent.
Sample. There are 132 observations overall in the quarterly series displayed in the figure above. The series covers the period extending from March 1993 to December 2025.
History. Here’s a quick look at some simple statistics we computed on the full sample: GDP had an average value of 872,360,203,778 units of local currency; it hit a maximum of 1,232,858,677,954 in December 2025; it recorded a bottom of 522,247,371,502 in September 1993.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-06-30 | 1163211864514.2 |
| 2025-09-30 | 1080213608753.3 |
| 2025-12-31 | 1232858677954.0 |
Hint. A plus of using our web site is that we publish rich metadata. Check it below to delve deeper into the properties of the time series that you analyze.
Not for investment purposes. Content made available on FetchSeries is not meant for investment purposes or as a basis for financial-decision making. Users should ask for expert advice and perform independent analysis before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Sweden |
| Economic concept | Flow |
| Data type | Real aggregate |
| Seasonally adjusted | No |
| 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.