Real GDP in local currency (units of local currency; seasonally adjusted) - Ireland - IMF - Quarterly
This series is part of the dataset: Real GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Ireland, seasonally-adjusted real GDP was 112,964,051,837 units of local currency in 2025-Q3, compared to 113,081,746,302 in 2025-Q2. This constitutes a reduction of 0.10 percent.
Sample. There are 123 records overall in the quarterly series displayed in the figure above. The series covers the time range going from March 1995 to September 2025.
History. Here's a glimpse of some descriptive statistics calculated on the whole sample: GDP reached a minimum of 19,678,322,923 units of local currency in March 1995; it attained a maximum of 113,081,746,302 in June 2025; it had a mean of 52,194,576,395.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-03-31 | 112840793864.198 |
| 2025-06-30 | 113081746301.799 |
| 2025-09-30 | 112964051837.449 |
Suggestion. To simplify research, we organize series into worksheets and datasets. Scrolling downwards, you will find how we structured further material linked to the statistics provided here.
Not for investment purposes. Information provided on this web site is not suitable for investment purposes or other financial decisions. Users should obtain professional advice and perform their own independent due diligence before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Real Gross Domestic Product (GDP) in domestic currency |
| Country | Ireland |
| 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.