Real GDP in local currency (units of local currency; seasonally unadjusted) - Ireland - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Ireland, seasonally-unadjusted real GDP was 114,758,046,793 units of local currency in 2025-Q3, compared to 110,417,073,834 in 2025-Q2. This represents a gain of 3.93 percent.
Sample. In this quarterly series, there are 123 records. The series covers the time range extending from March 1995 to September 2025.
History. Here's a peek at a few descriptive statistics we calculated on the full sample: GDP had an average value of 52,332,327,162 units of local currency; it hit a peak of 114,758,046,793 in September 2025; it reached a trough of 19,494,531,365 in March 1995.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-03-31 | 112815659327.419 |
| 2025-06-30 | 110417073834.492 |
| 2025-09-30 | 114758046792.897 |
Tip. Our metadata often include references to the original sources of the data we provide. You can use these references to search for additional information needed in your analyses.
Not for investment purposes. Any financial data published on this web site are not not supposed to be used for investment purposes or as a basis for making financial decisions. Users should obtain 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 | Ireland |
| 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.