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 859,430,000,000 units of local currency in 2026-Q2, compared to 832,123,000,000 in 2026-Q1. This marks a rise of 3.28 percent.
Sample. There are 262 observations in the quarterly time series presented in the figure above. The span of time covered by the series extends from March 1961 to June 2026.
History. Here's a glimpse of a few summary statistics we computed on the full sample: GDP reached a maximum of 859,430,000,000 units of local currency in June 2026; it reached a minimum of 10,150,000,000 in March 1961; it was equal on average to 258,124,664,122.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-12-31 | 821145000000.0 |
| 2026-03-31 | 832123000000.0 |
| 2026-06-30 | 859430000000.0 |
Nugget of wisdom. 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.