Structure of retail price for rennet hard and soft cheeses, 2022 edition
The components of the retail price for hard and soft rennet cheeses can be seen in this dataset. It contains thirty rows, each describing a separate cost item: from the cost of the primary raw material to other materials. For each item, the price in rubles and the percentage share of the total product cost are provided. The first row shows that raw materials and primary materials, net of returnable waste, cost 325.98 rubles and account for 47.07 percent of the price
Retail price structure for hard and soft rennet cheeses in rubles and percent by cost item
See also
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- 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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- Цены на яйца в 2026 году и по годам: данные Росстата indicator breakdown
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Set in numbers
30 series, arranged across 2 breakdowns rather than over time. 60 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” — 77.4; the smallest is “Expenses for production preparation and development” at 0.03. The gap between them is 2,580-fold.
All table numbers are series: 30
How to read this table
The rows in the table are categorized by cost type, allowing for a comparison between the weight of the raw material component and other expenses. One can compare the cost of primary raw materials with the cost of additional materials to see how costs are distributed within the final price. The columns show both absolute values in rubles and relative values in percent, facilitating cost structure analysis without additional calculations
The same indicator in other breakdowns (17)
More in the section Prices, inflation»
Period and application
The data is presented as a one-off snapshot rather than a time series. This information is relevant for analyzing current price trends in the dairy market. The data is useful for monitoring the production costs of rennet cheeses and understanding market pricing mechanisms
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