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 stood at 161,633,300,000 units of local currency in 2025-Q2, versus 154,893,900,000 in 2025-Q1. This represents a gain of 4.35 percent.
Sample. The quarterly time series presented in the chart has 122 observations overall. The time span covered by the series goes from March 1995 to June 2025.
History. Here’s a quick look at some summary statistics computed on the full sample: GDP reached its minimum of 51,243,300,000 units of local currency in March 1995; it reached its highest level of 165,455,600,000 in December 2024; it had a mean 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 |
Hint. For easier exploration, we organize series into worksheets and datasets. Scrolling downwards, you will discover how we arranged further information linked to the statistics found here.
Not for investment purposes. Any data distributed on FetchSeries are not suitable for investment purposes or as a basis for making financial decisions. Users should obtain expert advice and perform independent analysis before pledging money to any investment.
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.