Real GDP in local currency (units of local currency; seasonally adjusted) - Malta - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Malta, seasonally-adjusted real GDP was 4,173,482,199 units of local currency in 2025-Q4, compared to 4,087,229,665 in 2025-Q3. This marks a rise of 2.11 percent.
Sample. In the quarterly time series shown in the graph, there are a total of 104 data points. The series covers the time span going from March 2000 to December 2025.
History. Check out some simple statistics we computed on the full sample: GDP reached its highest level of 4,173,482,199 units of local currency in December 2025; it reached a trough of 1,294,514,013 in March 2000; it had an average value of 2,233,391,419.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-06-30 | 4042925736.7999 |
| 2025-09-30 | 4087229665.2415 |
| 2025-12-31 | 4173482199.0847 |
Tip. We organize time series into worksheets and datasets for easier exploration. If you navigate further down, you will discover how we structured further material related to the statistics found here.
Not for investment purposes. Data and analyses disseminated on this web site are not meant for investment purposes or as a basis for making financial decisions. Users should consult professional advice and do independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Malta |
| 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.