Real GDP in local currency (units of local currency; seasonally adjusted) - Finland - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Finland, seasonally-adjusted real GDP stood at 51,157,818,859 units of local currency in 2025-Q4, versus 51,008,587,331 in the previous quarter. This represents an increase of 0.29 percent.
Sample. There are 144 observations overall in the quarterly series shown in the plot above. The series covers the time period stretching from March 1990 to December 2025.
History. Here's a snapshot of a few statistics we computed on the whole sample: GDP averaged 42,995,757,806 units of local currency; it hit a peak of 51,848,573,178 in December 2021; it reached a trough of 28,215,482,026 in June 1993.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-06-30 | 51069352264.794 |
| 2025-09-30 | 51008587331.215 |
| 2025-12-31 | 51157818859.268 |
Suggestion. An advantage of our data visualization and download service is that we provide well-crafted metadata. Check it below to learn more about the attributes of the time series that you are exploring.
Not for investment purposes. Data and analyses shared on FetchSeries are not not supposed to be used for investment purposes or as a basis for financial-decision making. Users should seek expert advice and perform independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Finland |
| 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.