Nominal GDP in local currency (units of local currency; seasonally unadjusted) - Ireland - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Ireland, seasonally-unadjusted nominal GDP was 153,130,368,756 units of local currency in 2025-Q4, compared to 159,160,713,426 in 2025-Q3. This marks a decrease of 3.79 percent.
Sample. In this quarterly time series, there are a total of 124 observations. The series covers the time range going from March 1995 to December 2025.
History. Here are a few statistics we calculated on the entire sample: GDP averaged 60,226,716,202 units of local currency; it registered a minimum of 13,152,084,070 in March 1995; it recorded its highest level of 167,208,055,873 in March 2025.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-06-30 | 159184399162.0 |
| 2025-09-30 | 159160713426.0 |
| 2025-12-31 | 153130368756.0 |
Tip. A benefit of our data visualization and download service is that we provide rich metadata. Check it below to delve deeper into the properties of the time series that you use in your research.
Not for investment purposes. Any data disseminated on this web site are not not supposed to be used for investment purposes or as a basis for making financial decisions. Users should seek expert advice and do their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Ireland |
| Economic concept | Flow |
| Data type | Nominal aggregate |
| Seasonally adjusted | No |
| Deflation method | Current 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.