Nominal GDP in local currency (units of local currency; seasonally adjusted) - South Africa - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In South Africa, seasonally-adjusted nominal GDP was 2,006,137,300,000 units of local currency in 2026-Q1, versus 1,966,604,000,000 in 2025-Q4. This represents a gain of 2.01 percent.
Sample. In this quarterly series, there are a total of 133 data points. The time range covered by the series extends from March 1993 to March 2026.
History. Take a look at a few summary statistics we calculated on the whole sample: GDP was equal on average to 819,110,208,271 units of local currency; it reached a minimum of 114,034,800,000 in March 1993; it peaked at 2,006,137,300,000 in March 2026.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-09-30 | 1929740300000.0 |
| 2025-12-31 | 1966604000000.0 |
| 2026-03-31 | 2006137300000.0 |
Suggestion. To facilitate exploration, we categorize indicators into data sets and worksheets. By moving down the page, you will find how we arranged further information related to the statistics provided here.
Not for investment purposes. Any financial data released on this web site are not suitable for investment purposes or any other financial decision. Users should seek professional advice and do their own independent due diligence before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | South Africa |
| Economic concept | Flow |
| Data type | Nominal aggregate |
| Seasonally adjusted | Yes |
| 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.