Government consumption expenditure (million units of national currency) - Euro Area - Eurostat - Quarterly
This series is part of the dataset: Nominal GDP (Eurostat)
Download Full Dataset (.xlsx)Latest updates. In the Euro Area, nominal government consumption expenditure stood at 890,952 million units of national currency in 2026-Q2, compared to 882,039 in 2026-Q1. This represents a rise of 1.0 percent.
Sample. In the quarterly time series shown in the graph, there are 126 observations. The time period covered by the series stretches from March 1995 to June 2026.
History. Check out a few descriptive statistics we computed on the whole sample: government consumption expenditure registered a minimum of 275,422 million units of national currency in March 1995; it reached a maximum of 890,952 in June 2026; it had a mean value of 513,665.
Latest values
| Date | Value - Million units of national currency |
|---|---|
| 2025-12-31 | 871,887 |
| 2026-03-31 | 882,039 |
| 2026-06-30 | 890,952 |
Suggestion. One of the advantages of our web site is that we publish rich metadata. Check it below to learn more about the attributes of the indicators that you analyze.
Not for investment purposes. Data and any other information hosted on FetchSeries are not not supposed to be used for investment purposes or as a basis for financial-decision making. Users should obtain expert advice and perform their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Government consumption expenditure |
| Country | Euro Area |
| 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.