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 was 3,957,900,382,850 units of local currency in 2024-Q2, compared to 3,877,215,097,275 in the previous quarter. This marks an increase of 2.08 percent.
Sample. In this quarterly series, there are 42 observations overall. The series covers the time span extending from March 2014 to June 2024.
History. Check out a few summary statistics calculated on the whole sample: GDP was equal on average to 3,204,946,842,750 units of local currency; it recorded its maximum of 3,970,103,582,690 in December 2023; it reached its minimum of 2,311,161,497,085 in March 2014.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2023-12-31 | 3970103582689.97 |
| 2024-03-31 | 3877215097274.61 |
| 2024-06-30 | 3957900382849.75 |
Suggestion. We categorize indicators into worksheets and datasets to simplify exploration. Scrolling downwards, you will find how we structured further information linked to the statistics published here.
Not for investment purposes. Any data found on FetchSeries are not suitable 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 | 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.