Nominal GDP in local currency (units of local currency; seasonally unadjusted) - Jordan - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Jordan, seasonally-unadjusted nominal GDP was 9,329,006,835 units of local currency in 2025-Q2, compared to 9,100,683,265 in 2025-Q1. This constitutes a rise of 2.51 percent.
Sample. There are 70 observations overall in the quarterly time series displayed in the figure above. The period covered by the series stretches from March 2008 to June 2025.
History. Here are a few statistics computed on the entire sample: GDP was equal on average to 6,936,719,858 units of local currency; it reached a trough of 3,524,959,311 in March 2008; it peaked at 10,160,642,804 in December 2024.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 10160642803.9274 |
| 2025-03-31 | 9100683265.48086 |
| 2025-06-30 | 9329006835.3972 |
Nugget of wisdom. Our metadata often include links to the original sources of the data we provide. You can use these links to find more details.
Not for investment purposes. Any data released on this web site are not not supposed to be used for investment purposes or as a basis for making financial decisions. Users should consult expert advice and do their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Jordan |
| 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.