Real GDP in local currency (units of local currency; seasonally unadjusted) - Switzerland - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Switzerland, seasonally-unadjusted real GDP was 207,681,808,425 units of local currency in 2025-Q2, versus 205,570,333,500 in 2025-Q1. This constitutes an increase of 1.03 percent.
Sample. There are 122 observations overall in the quarterly time series shown in the plot above. The time range covered by the series is from March 1995 to June 2025.
History. Here's a snapshot of some statistics we calculated on the entire sample: GDP reached its minimum of 116,233,632,772 units of local currency in March 1995; it recorded a maximum of 209,406,279,361 in December 2024; it was equal on average to 158,720,554,311.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 209406279361.292 |
| 2025-03-31 | 205570333499.576 |
| 2025-06-30 | 207681808425.047 |
Suggestion. One of the pros of using FetchSeries is that we give you well-crafted metadata. Find it below to gain insights on the attributes of the indicators that you are exploring.
Not for investment purposes. Data series and other information found on this web site are not suitable for investment purposes or any other financial decision. Users should ask for 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 | Switzerland |
| 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.