Excise duty on Euro-super 95 gasoline (units of national currency per 1000 litres) - Romania - European Commission - Weekly
This series is part of the dataset: Retail gasoline prices (EU)
Download Full Dataset (.xlsx)Latest updates. In Romania, the excise duty on Euro-super 95 gasoline was 3,059.80 units of national currency per 1000 litres on 12 October 2026, as on 5 October.
Sample. This weekly series has 941 data points overall. The series covers the time range stretching from January 2008 to October 2026.
History. Here’s a quick look at a few simple statistics we calculated on the entire sample: the excise duty registered a minimum of 1,098.55 national-currency units on 7 January 2008; it hit a peak of 3,059.80 national-currency units on 5 January 2026; it had a mean of 1,860.66 national-currency units.
Latest values
| Date | Value - Units of national currency per 1000 litres |
|---|---|
| 2026-09-28 | 3,059.80 |
| 2026-10-05 | 3,059.80 |
| 2026-10-12 | 3,059.80 |
Nugget of wisdom. Our metadata often comprise links to the original sources of the data we provide. You can use these links to search for additional information needed in your research.
Not for investment purposes. Data provided on FetchSeries are not supposed to be used for investment purposes or other financial decisions. Users should seek 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 | Romania |
| 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.