Gross fixed capital formation (million units of 2020 national currency) - Latvia - Eurostat - Quarterly
This series is part of the dataset: Real GDP (Eurostat)
Download Full Dataset (.xlsx)Latest updates. In Latvia, real gross fixed capital formation was 2,049 million units of 2020 national currency in 2026-Q2, versus 2,002 in the previous quarter. This constitutes an increase of 2.4 percent.
Sample. There are 126 observations overall in the quarterly time series shown in the figure above. The time span covered by the series extends from March 1995 to June 2026.
History. Here's a peek at a few statistics we calculated on the full sample: gross fixed capital formation had an average value of 1,432 million units of 2020 national currency; it reached its minimum of 295 in March 1995; it hit a peak of 2,552 in December 2007.
Latest values
| Date | Value - Million units of 2020 national currency |
|---|---|
| 2025-12-31 | 1,945.60 |
| 2026-03-31 | 2,002.30 |
| 2026-06-30 | 2,048.60 |
Suggestion. A benefit of using FetchSeries is that we give you complete metadata. Check it below to delve deeper into the attributes of the time series that you use in your research.
Not for investment purposes. Data series and other information disseminated on FetchSeries are not suitable for investment purposes or as a basis for making financial decisions. Users should seek expert advice and perform independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross fixed capital formation |
| Country | Latvia |
| Economic concept | Flow |
| Data type | Real aggregate |
| Seasonally adjusted | Yes |
| Deflation method | Chain-linked volumes |
| Rescaling | None |
| Measure type | Level |
| Frequency | Quarterly |
| Unit | Million units of 2020 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.