Nominal GDP in local currency (units of local currency; seasonally unadjusted) - Belgium - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Belgium, seasonally-unadjusted nominal GDP was 161,633,300,000 units of local currency in 2025-Q2, compared to 154,893,900,000 in 2025-Q1. This constitutes a gain of 4.35 percent.
Sample. There are 122 observations in the quarterly series presented in the figure above. The series covers the time range going from March 1995 to June 2025.
History. Here are some statistics we computed on the full sample: GDP reached a trough of 51,243,300,000 units of local currency in March 1995; it hit a peak of 165,455,600,000 in December 2024; it had a mean value of 93,444,354,918.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 165455600000.0 |
| 2025-03-31 | 154893900000.0 |
| 2025-06-30 | 161633300000.0 |
Heads-up. To simplify research, we categorize indicators into worksheets and datasets. Scrolling downwards, you will discover how we structured further information linked to the statistics found here.
Not for investment purposes. Data series and other information made available on FetchSeries are not intended for investment purposes or as a basis for financial-decision making. Users should consult professional advice and do independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Belgium |
| 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.