Real GDP in local currency (units of local currency; seasonally adjusted) - Senegal - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Senegal, seasonally-adjusted real GDP stood at 3,957,900,382,850 units of local currency in 2024-Q2, compared to 3,877,215,097,275 in the previous quarter. This constitutes a gain of 2.08 percent.
Sample. There are 42 observations in the quarterly time series displayed in the graph above. The series covers the time period extending from March 2014 to June 2024.
History. Here's a snapshot of a few summary statistics calculated on the whole sample: GDP hit a trough of 2,311,161,497,085 units of local currency in March 2014; it achieved a maximum of 3,970,103,582,690 in December 2023; it had an average value of 3,204,946,842,750.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2023-12-31 | 3970103582689.97 |
| 2024-03-31 | 3877215097274.61 |
| 2024-06-30 | 3957900382849.75 |
Hint. 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. Content found on FetchSeries is not suitable for investment purposes or as a basis for financial-decision making. Users should obtain professional advice and perform independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Senegal |
| 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.