Nominal GDP in local currency (units of local currency; seasonally unadjusted) - Greece - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Greece, seasonally-unadjusted nominal GDP was 62,086,164,179 units of local currency in 2025-Q2, compared to 55,066,513,752 in 2025-Q1. This constitutes a rise of 12.75 percent.
Sample. There are 122 records overall in the quarterly time series presented in the plot above. The span of time covered by the series stretches from March 1995 to June 2025.
History. Here's a snapshot of some summary statistics computed on the full sample: GDP averaged 44,838,731,688 units of local currency; it recorded a maximum of 64,953,912,000 in September 2024; it reached a minimum of 21,025,888,000 in March 1995.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 61647492000.0 |
| 2025-03-31 | 55066513752.0 |
| 2025-06-30 | 62086164179.0 |
Nugget of wisdom. To simplify research, we organize time series into data sets and worksheets. If you navigate further down, you will find how we structured further information linked to the statistics published here.
Not for investment purposes. Information accessible on this web site is not intended for investment purposes or any other financial decision. Users should ask for professional advice and perform independent analysis before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Greece |
| Economic concept | Flow |
| Data type | Nominal aggregate |
| Seasonally adjusted | No |
| 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.