Structure of the retail price of table eggs, 2009 edition
The composition of retail prices for table eggs can be understood by analyzing the cost breakdown per unit of production. The list of 29 rows identifies various components, including the cost of primary raw materials, other materials, and waste or by-products. Each item specifies its value in rubles and its percentage share of the total price, illustrating the actual contribution of each factor to the final cost
Breakdown of retail prices for table eggs: cost component shares in rubles and percentages
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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- Инфляция в 2026 году: что подорожало сильнее всего indicator breakdown
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- Стоимость минимального набора продуктов: сколько и по годам indicator breakdown
- Инфляция по регионам России в 2026 году: рейтинг indicator breakdown
- Индекс потребительских цен 2026: что это и как считают indicator breakdown
- Цены на яйца в 2026 году и по годам: данные Росстата indicator breakdown
Set in numbers
This is a cross-section: 29 series across 2 breakdowns. 58 values in total.
“Отпускная цена с НДС и другими налогами” leads the table with 70.8, “carried out by a processing enterprise” closes it with 0.
All table numbers are series: 29
How to read this table
The table rows represent various expense categories, such as primary raw material costs or costs for associated products. By comparing ruble values and percentage shares, it is possible to determine the proportion of the price allocated to materials versus other elements. This helps identify which specific components most significantly influence the product's price formation
The same indicator in other breakdowns (10)
More in the section Prices, inflation»
Period and application
The indicators reflect the distribution of costs within a single snapshot, with columns providing both absolute amounts and relative shares. This data is relevant for pricing analysis and studying cost structures. The information is useful for economists, retailers, and those monitoring inflationary processes in the food sector
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