Retail price of Euro-super 95 gasoline excluding taxes (EUR per 1000 litres) - Finland - European Commission - Weekly
This series is part of the dataset: Retail gasoline prices (EU)
Download Full Dataset (.xlsx)Latest updates. In Finland, the retail price of Euro-super 95 gasoline excluding taxes was 1,125.26 EUR per 1000 litres on 12 October 2026, compared to 1,166.11 on 5 October 2026. This constitutes a reduction of 3.50 percent.
Sample. There are 1,088 observations in the weekly time series presented in the graph above. The series covers the time range going from January 2005 to October 2026.
History. Here are a few descriptive statistics we calculated on the entire sample: the retail price excluding taxes reached its minimum of 293.03 EUR on 24 January 2005; it hit a maximum of 1,340.49 EUR on 13 June 2022; it was equal on average to 613.50 EUR.
Latest values
| Date | Value - EUR per 1000 litres |
|---|---|
| 2026-09-28 | 1,135.06 |
| 2026-10-05 | 1,166.11 |
| 2026-10-12 | 1,125.26 |
Tip. Our metadata often include references to the original sources of the data we provide. You can use these references to find more details.
Not for investment purposes. Information made available on FetchSeries is not supposed to be used for investment purposes or other 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 | Retail price of Euro-super 95 gasoline excluding taxes |
| Country | Finland |
| Economic concept | Price |
| Data type | Price |
| Seasonally adjusted | No |
| Deflation method | Current prices |
| Rescaling | None |
| Measure type | Level |
| Frequency | Weekly |
| Unit | EUR 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.