Structure of the retail price of AI-95 motor gasoline, 2021 edition
The composition of the cost per liter of AI-95 gasoline can be determined through an analysis of price components. The list contains 29 rows, categorizing costs into raw materials, primary materials, taxes, and other expenses. Data are provided in rubles and as a percentage of the total cost. For example, raw materials and materials, excluding waste, amount to 27.61 rubles, representing 55.08 percent of the price
Chart of the retail price structure for AI-95 gasoline in rubles and percent
See also
- Diesel fuel prices in Russia by year long time series by year
- Egg prices in Russia by year long time series by year
- Gasoline prices in Russia by year long time series by year
- Inflation in Russia by year long time series by year
- Milk prices in Russia by year long time series by year
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Set in numbers
This is a cross-section: 29 series across 2 breakdowns. 58 values in total.
The largest value belongs to “Selling price including VAT, excise and other taxes, including delivery charges for products (goods) to customers carried out by the processing enterprise” — 82.5; the smallest is “Actual profit, loss (-)” at -16.6. The gap between them is 5-fold.
All table numbers are series: 29
How to read this table
The rows in the list are categorized by cost type, highlighting the cost of primary raw materials, other types of materials, and the total amount for raw material components. Comparing these indicators allows for an assessment of the share of resource procurement versus processing and logistics in the gasoline price. All elements are provided in comparable units of measurement to facilitate the calculation of the overall structure
The same indicator in other breakdowns (4)
More in the section Prices, inflation»
Period and application
The data reflects the current fuel pricing structure without reference to specific time periods. This information is relevant for analyzing market factors and understanding the price composition at filling stations. Rosstat data is suitable for monitoring energy prices and studying inflationary processes in the fuel sector
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