Real GDP in local currency (units of local currency; seasonally adjusted) - Republic of Türkiye - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In the Republic of Türkiye, seasonally-adjusted real GDP stood at 646,927,833,173 units of local currency in 2025-Q2, compared to 636,635,744,679 in 2025-Q1. This marks a rise of 1.62 percent.
Sample. There are 110 observations in the quarterly series shown in the chart above. The series covers the time range stretching from March 1998 to June 2025.
History. Here's a snapshot of a few statistics computed on the entire sample: GDP reached a maximum of 646,927,833,173 units of local currency in June 2025; it recorded a bottom of 180,731,903,190 in December 2001; it was equal on average to 358,741,582,158.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 631909722529.432 |
| 2025-03-31 | 636635744679.015 |
| 2025-06-30 | 646927833172.562 |
Hint. A benefit of using our web site is that we provide accurate metadata. Find it below to delve deeper into the properties of the time series that you use in your work.
Not for investment purposes. Financial data shared on FetchSeries are not intended for investment purposes or as a basis for financial-decision making. Users should obtain professional advice and perform independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Republic of Türkiye |
| Economic concept | Flow |
| Data type | Real aggregate |
| Seasonally adjusted | Yes |
| Deflation method | Constant 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.