Excise duty on Euro-super 95 gasoline (units of national currency per 1000 litres) - Ireland - European Commission - Weekly
This series is part of the dataset: Retail gasoline prices (EU)
Download Full Dataset (.xlsx)Latest updates. In Ireland, the excise duty on Euro-super 95 gasoline was 338.58 units of national currency per 1000 litres on 12 October 2026, as on 5 October.
Sample. In this weekly series, there are a total of 1,088 records. The series covers the time range stretching from January 2005 to October 2026.
History. Here's a snapshot of some summary statistics we computed on the whole sample: the excise duty reached a minimum of 338.58 national-currency units on 20 April 2026; it achieved a maximum of 688.78 national-currency units on 14 October 2024; it averaged 551.56 national-currency units.
Latest values
| Date | Value - Units of national currency per 1000 litres |
|---|---|
| 2026-09-28 | 338.580 |
| 2026-10-05 | 338.580 |
| 2026-10-12 | 338.580 |
Suggestion. A plus of our web site is that we provide complete metadata. Find them below to learn more about the attributes of the indicators that you use in your research.
Not for investment purposes. Any financial data disseminated on FetchSeries are not meant for investment purposes or any other financial decision. Users should ask for expert advice and perform their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Excise duty on Euro-super 95 gasoline |
| Country | Ireland |
| Economic concept | Tax |
| Data type | Nominal amount |
| Seasonally adjusted | No |
| Deflation method | Current prices |
| Rescaling | None |
| Measure type | Level |
| Frequency | Weekly |
| Unit | Units of national currency per 1000 litres |
| Source | European Commission (Weekly Oil Bulletin) |
| Source type | International institution |
| Data licence | Reuse allowed under EU legal notice (with attribution) |
| Other information | Not available |
| FSR temporal aggregation code | LW1 |
Series in the same data set
Discover the other time series included in this data set.