Nominal GDP (I$; PPP-based; seasonally adjusted) - G20 - IMF - Quarterly
This series is part of the dataset: Nominal GDP by region (IMF)
Download Full Dataset (.xlsx)Latest updates. In the G20, seasonally-adjusted PPP-based nominal GDP was 41,179,666,769,965 international dollars in 2025-Q2, compared to 40,801,554,296,529 in 2025-Q1. This marks an increase of 0.93 percent.
Sample. There are 54 data points overall in the quarterly time series displayed in the figure above. The period covered by the series is from March 2012 to June 2025.
History. Here's a snapshot of a few summary statistics calculated on the entire sample: GDP had an average value of 28,036,319,419,080 international dollars; it peaked at 41,179,666,769,965 in June 2025; it recorded a minimum of 19,239,857,927,639 in March 2012.
Latest values
| Date | Value - International dollars |
|---|---|
| 2024-12-31 | 40206361668308.36 |
| 2025-03-31 | 40801554296529.18 |
| 2025-06-30 | 41179666769964.96 |
Suggestion. Our metadata often comprise links to the sources of the data series we publish. You can use these links to find more details.
Not for investment purposes. Any financial data distributed on this web site are not not supposed to be used for investment purposes or as a basis for making financial decisions. Users should obtain professional advice and do independent analysis before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Nominal Gross Domestic Product (GDP) |
| Country | G20 |
| Economic concept | Flow |
| Data type | Nominal aggregate |
| Seasonally adjusted | Yes |
| Deflation method | Current prices |
| Rescaling | PPP-based |
| Measure type | Level |
| Frequency | Quarterly |
| Unit | International dollars |
| 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.