Nominal GDP in local currency (units of local currency; seasonally adjusted) - Sweden - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Sweden, seasonally-adjusted nominal GDP stood at 1,622,649,000,000 units of local currency in 2025-Q2, compared to 1,621,531,000,000 in the previous quarter. This represents an increase of 0.07 percent.
Sample. There are 130 records overall in the quarterly time series displayed in the figure above. The series covers the time range going from March 1993 to June 2025.
History. Here's a glimpse of some summary statistics computed on the whole sample: GDP reached a maximum of 1,622,649,000,000 units of local currency in June 2025; it registered a minimum of 406,391,000,000 in March 1993; it averaged 896,839,776,923.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 1617263000000.0 |
| 2025-03-31 | 1621531000000.0 |
| 2025-06-30 | 1622649000000.0 |
Suggestion. Our metadata often comprise references to the original sources of the data we provide. You can use these references to find more details.
Not for investment purposes. Data series and other information shared on FetchSeries are not not supposed to be used for investment purposes or other financial decisions. Users should obtain professional advice and perform independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Sweden |
| 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.