Real GDP in local currency (units of local currency; seasonally unadjusted) - Australia - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Australia, seasonally-unadjusted real GDP stood at 668,052,000,000 units of local currency in 2025-Q2, compared to 636,188,000,000 in 2025-Q1. This constitutes a gain of 5.01 percent.
Sample. In the quarterly time series presented in the graph, there are a total of 264 observations. The series covers the span of time stretching from September 1959 to June 2025.
History. Here are some summary statistics we calculated on the full sample: GDP was equal on average to 306,109,704,545 units of local currency; it attained a maximum of 679,326,000,000 in December 2024; it hit a trough of 76,525,000,000 in March 1960.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 679326000000.0 |
| 2025-03-31 | 636188000000.0 |
| 2025-06-30 | 668052000000.0 |
Tip. We group series into data sets and worksheets to simplify complex analyses. By moving down the page, you will discover how we structured further information related to the statistics published here.
Not for investment purposes. Any data disseminated on this web site are not suitable for investment purposes or other financial decisions. Users should obtain expert advice and do independent analysis before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Australia |
| 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.