Government consumption expenditure (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 government consumption expenditure was 455,607 million units of national currency in 2026-Q2, compared to 436,338 in 2026-Q1. This constitutes an increase of 4.4 percent.
Sample. There are 126 data points overall in the quarterly time series displayed in the figure above. The time range covered by the series stretches from March 1995 to June 2026.
History. Take a look at some statistics computed on the entire sample: government consumption expenditure recorded a bottom of 79,236 million units of national currency in March 1995; it reached its maximum of 455,607 in June 2026; it had a mean of 216,194.
Latest values
| Date | Value - Million units of national currency |
|---|---|
| 2025-12-31 | 439,345 |
| 2026-03-31 | 436,338 |
| 2026-06-30 | 455,607 |
Suggestion. To facilitate exploration, we group indicators into data sets and worksheets. Scrolling downwards, you will discover how we structured further information related to the statistics found here.
Not for investment purposes. Information shared on FetchSeries is not meant for investment purposes or as a basis for financial-decision making. Users should seek expert advice and perform their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Government consumption expenditure |
| 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.