Real GDP in local currency (units of local currency; seasonally adjusted) - India - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In India, seasonally-adjusted real GDP stood at 49,149,582,700,000 units of local currency in 2025-Q2, versus 48,324,105,400,000 in 2025-Q1. This constitutes a rise of 1.71 percent.
Sample. There are 117 observations overall in the quarterly time series presented in the graph above. The series covers the span of time going from June 1996 to June 2025.
History. Here are some simple statistics we calculated on the entire sample: GDP averaged 22,808,225,641,026 units of local currency; it reached its minimum of 7,902,844,500,000 in June 1996; it recorded its maximum of 49,149,582,700,000 in June 2025.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 47362095000000.0 |
| 2025-03-31 | 48324105400000.0 |
| 2025-06-30 | 49149582700000.0 |
Suggestion. Our metadata often include references to the sources of the time-series data shown on FetchSeries. You can use these references to search for additional information needed in your research.
Not for investment purposes. Any financial data disseminated on this web site are not intended for investment purposes or as a basis for financial-decision making. Users should consult professional advice and perform independent analysis before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | India |
| Economic concept | Flow |
| Data type | Real aggregate |
| Seasonally adjusted | Yes |
| 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.