Real GDP in local currency (units of local currency; seasonally unadjusted) - Ghana - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Ghana, seasonally-unadjusted real GDP stood at 48,204,664,880 units of local currency in 2024-Q3, versus 45,244,694,156 in the previous quarter. This marks a gain of 6.54 percent.
Sample. There are 43 records overall in the quarterly time series presented in the figure above. The series covers the period extending from March 2014 to September 2024.
History. Here's a peek at a few simple statistics we computed on the whole sample: GDP reached a trough of 29,478,103,662 units of local currency in March 2014; it reached its maximum of 51,013,089,330 in March 2024; it had a mean of 39,852,658,932.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-03-31 | 51013089330.1604 |
| 2024-06-30 | 45244694155.9748 |
| 2024-09-30 | 48204664879.995 |
Heads-up. One of the advantages of our data visualization and download service is that we provide rich metadata. Check it below to delve deeper into the characteristics of the series that you use in your work.
Not for investment purposes. Data provided on FetchSeries are not meant for investment purposes or any other financial decision. Users should obtain expert advice and perform 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 | Ghana |
| Economic concept | Flow |
| Data type | Real aggregate |
| Seasonally adjusted | No |
| 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.