Real GDP in local currency (units of local currency; seasonally adjusted) - Morocco - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Morocco, seasonally-adjusted real GDP was 329,014,780,078 units of local currency in 2025-Q1, compared to 330,180,611,111 in the previous quarter. This represents a decrease of 0.35 percent.
Sample. There are 45 records overall in the quarterly series presented in the plot above. The time span covered by the series is from March 2014 to March 2025.
History. Here are a few simple statistics we computed on the whole sample: GDP recorded a minimum of 247,391,935,330 units of local currency in March 2014; it reached its highest level of 330,180,611,111 in December 2024; it had a mean value of 284,909,418,308.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-09-30 | 326353941911.244 |
| 2024-12-31 | 330180611111.466 |
| 2025-03-31 | 329014780078.179 |
Nugget of wisdom. A plus of using FetchSeries is that we publish accurate metadata. Find it below to gain insights on the properties of the series that you analyze.
Not for investment purposes. Information collected and published on FetchSeries is not not supposed to be used for investment purposes or any other financial decision. Users should obtain expert advice and do their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Morocco |
| 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.