Real GDP in local currency (units of local currency; seasonally adjusted) - Czech Republic - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In the Czech Republic, seasonally-adjusted real GDP was 1,341,790,938,733 units of local currency in 2026-Q2, compared to 1,338,037,485,726 in the previous quarter. This constitutes a gain of 0.28 percent.
Sample. This quarterly time series has a total of 126 observations. The series covers the time period extending from March 1995 to June 2026.
History. Here's a snapshot of some statistics we computed on the entire sample: GDP was equal on average to 1,000,794,945,140 units of local currency; it reached a maximum of 1,341,790,938,733 in June 2026; it hit a trough of 667,533,918,612 in March 1995.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-12-31 | 1,336,757,788,253 |
| 2026-03-31 | 1,338,037,485,726 |
| 2026-06-30 | 1,341,790,938,733 |
Suggestion. We group series into data sets and worksheets to simplify research. When you navigate further down, you will find how we arranged further information related to the statistics found here.
Not for investment purposes. Information found on FetchSeries is not intended for investment purposes or other financial decisions. Users should seek expert advice and do independent analysis before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Czech Republic |
| 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.