Nominal GDP in local currency (units of local currency; seasonally unadjusted) - Cameroon - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Cameroon, seasonally-unadjusted nominal GDP was 7,680,918,948,167 units of local currency in 2024-Q1, compared to 7,807,056,448,206 in the previous quarter. This constitutes a reduction of 1.62 percent.
Sample. In this quarterly series, there are 101 observations overall. The period covered by the series is from March 1999 to March 2024.
History. Here’s a quick look at some simple statistics computed on the full sample: GDP recorded its maximum of 7,807,056,448,206 units of local currency in December 2023; it recorded a minimum of 1,631,937,021,780 in March 1999; it had a mean of 4,018,101,985,075.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2023-09-30 | 7397901858244.87 |
| 2023-12-31 | 7807056448205.98 |
| 2024-03-31 | 7680918948167.33 |
Suggestion. A plus of our data visualization and download service is that we provide well-crafted metadata. Check it below to better understand the attributes of the time series that you are exploring.
Not for investment purposes. Data and analyses accessible on this web site are not suitable for investment purposes or as a basis for financial-decision making. Users should obtain professional advice and do independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Cameroon |
| 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.