Nominal GDP in local currency (units of local currency; seasonally adjusted) - Brazil - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Brazil, seasonally-adjusted nominal GDP stood at 3,166,178,100,000 units of local currency in 2025-Q2, compared to 3,107,796,700,000 in the previous quarter. This marks a rise of 1.88 percent.
Sample. In this quarterly series, there are 118 data points. The series covers the time period extending from March 1996 to June 2025.
History. Here’s a quick look at a few summary statistics we calculated on the entire sample: GDP had an average value of 1,173,002,224,576 units of local currency; it attained a maximum of 3,166,178,100,000 in June 2025; it recorded a minimum of 199,791,500,000 in March 1996.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 3033216500000.0 |
| 2025-03-31 | 3107796700000.0 |
| 2025-06-30 | 3166178100000.0 |
Tip. A benefit of using our web site is that we provide complete metadata. Check it below to better understand the characteristics of the time series that you are exploring.
Not for investment purposes. Data and analyses accessible on FetchSeries are not suitable for investment purposes or other financial decisions. Users should seek professional advice and perform their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Brazil |
| 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.