Real GDP in local currency (units of local currency; seasonally adjusted) - Thailand - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Thailand, seasonally-adjusted real GDP stood at 2,844,065,000,000 units of local currency in 2025-Q3, versus 2,860,185,000,000 in 2025-Q2. This marks a reduction of 0.56 percent.
Sample. There are 91 records overall in the quarterly series presented in the figure above. The series covers the time period going from March 2003 to September 2025.
History. Here's a peek at some descriptive statistics calculated on the full sample: GDP had a mean of 2,271,157,655,174 units of local currency; it registered a minimum of 1,487,800,000,000 in March 2003; it peaked at 2,860,185,000,000 in June 2025.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-03-31 | 2846544000000.0 |
| 2025-06-30 | 2860185000000.0 |
| 2025-09-30 | 2844065000000.0 |
Hint. We organize indicators into worksheets and datasets to make our users' life easier. Scrolling downwards, you will find how we structured further information related to the statistics provided here.
Not for investment purposes. Information published on FetchSeries is not meant for investment purposes or as a basis for making financial decisions. Users should consult expert advice and do independent analysis before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Thailand |
| 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.