Cost of a set of products for making Olivier salad
at the end of the period, roubles
The cost of assembling ingredients for a classic Olivier salad in Russia can be determined from these statistics. Rows indicate prices for boiled sausage, pickled cucumbers, and green peas in rubles at the end of the period. Columns contain information ranging from baseline cost to percentage price change. Data is presented as a single snapshot without breakdown by year or month
Chart of Olivier salad ingredient costs: sausage, cucumbers, peas, including percentage change
Set in numbers
This is a cross-section: 9 series in at the end of the period, roubles across 4 breakdowns. 35 values in total.
“Pickled cucumbers, kg” leads the table with 5.5 at the end of the period, roubles, “Carrots, kg” closes it with -11.1 at the end of the period, roubles.
All table numbers are series: 9
| Series | норма | Nov 2018 | Nov 2019 | Изменение стоимости (в %) |
|---|---|---|---|---|
| Колбаса вареная, кг | 0,30 | 113,71 | 119,51 | 5,10 |
| Огурцы маринованные, кг | 0,40 | 62,74 | 66,20 | 5,51 |
| Зеленый горошек, кг | 0,38 | 59,61 | 62,89 | 5,50 |
| Яйца куриные, шт | 4,00 | 23,90 | 24,53 | 2,64 |
| Майонез, кг | 0,20 | 33,92 | 35,40 | 4,36 |
| Картофель, кг | 0,50 | 10,86 | 10,35 | -4,70 |
| Лук репчатый, кг | 0,10 | 2,42 | 2,40 | -0,83 |
| Морковь, кг | 0,20 | 5,84 | 5,19 | -11,13 |
| ИТОГО | — | 313,00 | 326,47 | 4,30 |
How to read this table
Rows differ by ingredient type, allowing for comparison of each item's contribution to the total cost of the set. Comparing prices for each item enables assessment of how the cost of specific sausages or vegetables changes relative to the baseline. All calculations are in rubles, facilitating cost comparisons across different salad components
The same indicator in other breakdowns (1)
More in the section Olivier salad index»
Period and application
Indicators are current as of the end of the reporting period. The statistics are published by Rosstat and cover the entire territory of the Russian Federation. This data is useful for consumer basket assessment and monitoring retail prices for key food products
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