Nominal GDP in local currency (units of local currency; seasonally adjusted) - Republic of Estonia - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In the Republic of Estonia, seasonally-adjusted nominal GDP stood at 11,057,784,000 units of local currency in 2026-Q2, versus 10,878,549,900 in 2026-Q1. This constitutes an increase of 1.65 percent.
Sample. This quarterly time series has 126 observations. The series covers the time span extending from March 1995 to June 2026.
History. Here's a snapshot of some summary statistics computed on the entire sample: GDP recorded its highest level of 11,057,784,000 units of local currency in June 2026; it hit a minimum of 660,557,200 in March 1995; it averaged 4,619,133,971.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-12-31 | 10644111500.0 |
| 2026-03-31 | 10878549900.0 |
| 2026-06-30 | 11057784000.0 |
Hint. A plus of using FetchSeries is that we publish well-crafted metadata. Check it below to learn more about the properties of the indicators that you use in your work.
Not for investment purposes. Data shared on this web site are not not supposed to be used for investment purposes or any other financial decision. Users should obtain professional advice and perform their own independent due diligence before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Republic of Estonia |
| Economic concept | Flow |
| Data type | Nominal aggregate |
| Seasonally adjusted | Yes |
| Deflation method | Current 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.