Real GDP in local currency (units of local currency; seasonally unadjusted) - Hungary - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Hungary, seasonally-unadjusted real GDP was 8,869,948,186,286 units of local currency in 2026-Q1, compared to 10,255,285,340,496 in 2025-Q4. This marks a decrease of 13.51 percent.
Sample. There are 125 observations in the quarterly series shown in the plot above. The series covers the span of time going from March 1995 to March 2026.
History. Take a look at a few descriptive statistics computed on the whole sample: GDP reached its maximum of 10,255,285,340,496 units of local currency in December 2025; it reached a minimum of 4,511,372,815,086 in March 1996; it was equal on average to 7,218,987,692,092.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-09-30 | 9938948564470.7 |
| 2025-12-31 | 10255285340496.0 |
| 2026-03-31 | 8869948186286.4 |
Suggestion. For our users' convenience, we group indicators into data sets and worksheets. If you look below, you will discover how we structured further information linked to the statistics found here.
Not for investment purposes. Data made available on this web site are not intended for investment purposes or any other financial decision. Users should seek professional advice and perform their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Hungary |
| 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.