Retail price of Euro-super 95 gasoline including taxes (EUR per 1000 litres) - Sweden - European Commission - Weekly
This series is part of the dataset: Retail gasoline prices (EU)
Download Full Dataset (.xlsx)Latest updates. In Sweden, the retail price of Euro-super 95 gasoline including taxes was 1,692.49 EUR per 1000 litres on 12 October 2026, compared to 1,589.34 on 5 October. This marks a gain of 6.49 percent.
Sample. There are 1,088 observations in the weekly time series shown in the plot above. The period covered by the series stretches from January 2005 to October 2026.
History. Here’s a quick look at a few simple statistics computed on the full sample: the retail price including taxes had a mean value of 1,471.81 EUR; it reached its minimum of 924.07 EUR on 15 December 2008; it recorded its highest level of 2,303.20 EUR on 6 June 2022.
Latest values
| Date | Value - EUR per 1000 litres |
|---|---|
| 2026-09-28 | 1,594.81 |
| 2026-10-05 | 1,589.34 |
| 2026-10-12 | 1,692.49 |
Tip. An advantage of our web site is that we publish rich metadata. Find them below to learn more about the characteristics of the time series that you analyze.
Not for investment purposes. Any data published on FetchSeries are not supposed to be used for investment purposes or any other financial decision. Users should ask for expert advice and perform independent analysis before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Retail price of Euro-super 95 gasoline including taxes |
| Country | Sweden |
| 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.