Nominal GDP in local currency (units of local currency; seasonally unadjusted) - Argentina - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Argentina, seasonally-unadjusted nominal GDP was 209,466,594,400,000 units of local currency in 2025-Q2, compared to 180,996,222,900,000 in the previous quarter. This represents a rise of 15.73 percent.
Sample. There are 86 observations overall in the quarterly series presented in the graph above. The time span covered by the series is from March 2004 to June 2025.
History. Check out some summary statistics we computed on the whole sample: GDP had a mean value of 16,321,510,984,884 units of local currency; it hit a minimum of 109,799,000,000 in March 2004; it achieved a maximum of 209,466,594,400,000 in June 2025.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 177341485800000.0 |
| 2025-03-31 | 180996222900000.0 |
| 2025-06-30 | 209466594400000.0 |
Suggestion. Our metadata often comprise references to the sources of the time-series data shown on FetchSeries. You can use these references to discover more details.
Not for investment purposes. Any data distributed on this web site are not meant for investment purposes or as a basis for making financial decisions. Users should consult professional advice and do their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Argentina |
| 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.