Real GDP in local currency (units of local currency; seasonally adjusted) - Sweden - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Sweden, seasonally-adjusted real GDP was 1,150,237,886,090 units of local currency in 2025-Q3, compared to 1,138,078,588,432 in 2025-Q2. This represents an increase of 1.07 percent.
Sample. This quarterly time series has 131 data points overall. The series covers the time span going from March 1993 to September 2025.
History. Here are a few simple statistics we computed on the entire sample: GDP reached a minimum of 555,463,465,715 units of local currency in March 1993; it recorded a maximum of 1,150,237,886,090 in September 2025; it was equal on average to 869,753,298,797.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-03-31 | 1131140364453.49 |
| 2025-06-30 | 1138078588432.36 |
| 2025-09-30 | 1150237886090.49 |
Heads-up. To facilitate exploration, we organize indicators into data sets and worksheets. By scrolling down, you will find how we structured further information linked to the statistics published here.
Not for investment purposes. Data series and other information distributed on this web site are not suitable for investment purposes or any other financial decision. Users should obtain professional advice and perform their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Sweden |
| 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.