Real GDP in local currency (units of local currency; seasonally unadjusted) - Uganda - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Uganda, seasonally-unadjusted real GDP stood at 39,534,980,947,390 units of local currency in 2024-Q4, versus 43,671,762,300,963 in 2024-Q3. This represents a reduction of 9.47 percent.
Sample. This quarterly time series has 34 observations. The time range covered by the series is from September 2016 to December 2024.
History. Here's a peek at a few descriptive statistics we calculated on the full sample: GDP reached its maximum of 43,671,762,300,963 units of local currency in September 2024; it hit a trough of 26,359,184,120,636 in September 2016; it had a mean value of 33,426,974,726,165.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-06-30 | 38759012715434.2 |
| 2024-09-30 | 43671762300963.1 |
| 2024-12-31 | 39534980947390.5 |
Heads-up. Our metadata often contain links to the sources of the data we provide. You can use these links to search for additional information needed in your research.
Not for investment purposes. Data and analyses 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 ask for 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 | Uganda |
| Economic concept | Flow |
| Data type | Real aggregate |
| Seasonally adjusted | No |
| 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.