Exports of goods and services (million units of national currency) - Czech Republic - Eurostat - Quarterly
This series is part of the dataset: Nominal GDP (Eurostat)
Download Full Dataset (.xlsx)Latest updates. In the Czech Republic, nominal exports of goods and services stood at 1,495,640 million units of national currency in 2026-Q2, compared to 1,449,512 in 2026-Q1. This marks a rise of 3.2 percent.
Sample. The quarterly time series displayed in the figure has 126 data points. The time period covered by the series goes from March 1995 to June 2026.
History. Here's a peek at some descriptive statistics we calculated on the entire sample: exports of goods and services reached their minimum of 153,505 million units of national currency in March 1995; they reached their highest level of 1,495,640 in June 2026; they had a mean of 719,367.
Latest values
| Date | Value - Million units of national currency |
|---|---|
| 2025-12-31 | 1,429,819 |
| 2026-03-31 | 1,449,512 |
| 2026-06-30 | 1,495,640 |
Heads-up. A plus of using our web site is that we give you accurate metadata. Find it below to better understand the characteristics of the time series that you analyze.
Not for investment purposes. Data and any other information found on FetchSeries are not suitable for investment purposes or other financial decisions. Users should seek professional advice and do their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Exports of goods and services |
| Country | Czech Republic |
| Economic concept | Flow |
| Data type | Nominal aggregate |
| Seasonally adjusted | Yes |
| Deflation method | Current prices |
| Rescaling | None |
| Measure type | Level |
| Frequency | Quarterly |
| Unit | Million units of national currency |
| Source | Eurostat |
| Source type | International organization |
| Data licence | Free reuse with attribution |
| Other information | Not available |
| FSR temporal aggregation code | LQ1 |
Series in the same data set
Discover the other time series included in this data set.