Real GDP in local currency (units of local currency; seasonally unadjusted) - Ukraine - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Ukraine, seasonally-unadjusted real GDP was 976,454,000,000 units of local currency in 2025-Q2, compared to 914,202,000,000 in 2025-Q1. This constitutes a gain of 6.81 percent.
Sample. In this quarterly time series, there are 62 records overall. The time period covered by the series extends from March 2010 to June 2025.
History. Take a look at a few simple statistics calculated on the whole sample: GDP recorded its highest level of 1,623,341,000,000 units of local currency in September 2011; it hit a trough of 781,832,000,000 in June 2022; it was equal on average to 1,272,585,951,613.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2024-12-31 | 1134943000000.0 |
| 2025-03-31 | 914202000000.0 |
| 2025-06-30 | 976454000000.0 |
Suggestion. One of the pros of using our web site is that we provide accurate metadata. Check it below to delve deeper into the characteristics of the time series that you use in your research.
Not for investment purposes. Information made available on this web site is not intended for investment purposes or other financial decisions. Users should obtain professional advice and do their own independent due diligence before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Ukraine |
| 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.