Nominal GDP in local currency (units of local currency; seasonally unadjusted) - Algeria - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Algeria, seasonally-unadjusted nominal GDP was 8,473,355,300,000 units of local currency in 2024-Q4, versus 9,188,704,600,000 in 2024-Q3. This marks a reduction of 7.79 percent.
Sample. There are 96 data points in the quarterly series shown in the plot above. The series covers the period extending from March 2001 to December 2024.
History. Take a look at some simple statistics calculated on the full sample: GDP was equal on average to 4,253,165,558,333 units of local currency; it hit a peak of 9,305,780,900,000 in March 2024; it recorded a bottom of 1,098,948,500,000 in September 2001.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-06-30 | 8820658000000.0 |
| 2024-09-30 | 9188704600000.0 |
| 2024-12-31 | 8473355300000.0 |
Hint. We organize series into data sets and worksheets to simplify exploration. By moving down the page, you will discover how we structured further material linked to the statistics provided here.
Not for investment purposes. Any data accessible on FetchSeries are not meant for investment purposes or as a basis for financial-decision making. Users should ask for expert advice and perform independent analysis before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Algeria |
| 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.