Nominal GDP in local currency (units of local currency; seasonally adjusted) - Canada - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Canada, seasonally-adjusted nominal GDP was 819,642,000,000 units of local currency in 2025-Q4, versus 814,992,000,000 in 2025-Q3. This constitutes an increase of 0.57 percent.
Sample. There are 260 observations in the quarterly time series displayed in the graph above. The series covers the time span extending from March 1961 to December 2025.
History. Here's a peek at a few descriptive statistics calculated on the whole sample: GDP hit a minimum of 10,150,000,000 units of local currency in March 1961; it hit a maximum of 819,642,000,000 in December 2025; it was equal on average to 253,597,373,077.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-06-30 | 802781000000.0 |
| 2025-09-30 | 814992000000.0 |
| 2025-12-31 | 819642000000.0 |
Suggestion. For easier exploration, we group time series into data sets and worksheets. If you look below, you will discover how we arranged further information related to the statistics found here.
Not for investment purposes. Data released on this web site are not intended for investment purposes or as a basis for making financial decisions. Users should seek expert advice and perform independent analysis before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Canada |
| 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.