Structure of household consumer expenditure for the consumer price index calculation
To calculate the consumer price index, Rosstat divides all Russian household spending into hundreds of categories. This table presents the share of each group in the total expenditure basket for 2023–2026. Rows vary in level of detail: some aggregate entire sections such as 'food products,' while others describe specific items, for example, 'grain products.'
- 01.1.1.3.8 / Торты и пироги — СПР
- 01.1.1.3.1 / Хлеб пшеничный — СПР
- 01.1.1.3.1.3 / Хлеб и булочные изделия из пшеничной муки различных сортов, кг — СПР
- 01.1.2.2.1 / Говядина с костями — СПР
- 01.1.1.3.6 / Печенье — СПР
- 01.1.1.3.2 / Хлеб ржаной и прочий — СПР
- 01.1.1.3.2.1 / Хлеб из ржаной муки и из смеси муки ржаной и пшеничной, кг — СПР
- 01.1.1.5.2 / Другие макаронные изделия — СПР
- 01.1.1.5.2.1 / Макаронные изделия из пшеничной муки высшего сорта, кг — СПР
- 01.1.1.1.1 / Рис — СПР
Chart of the structure of household consumer expenditure used for consumer price index calculation by year from 2023 to 2026
Who grew, who fell: 2023 → 2026
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
- Инфляция в России по годам: таблица 1991–2026 и графики indicator breakdown
- Цены на продукты в России по годам с 1991 года indicator breakdown
- Инфляция в 2026 году: что подорожало сильнее всего indicator breakdown
- Цены на продукты в 2026 году: что подорожало за год indicator breakdown
- Цены на бензин в 2026 году: АИ-92, АИ-95 и дизель indicator breakdown
- 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
Set in numbers
Rosstat data for 2023–2026. Series: 1 923, periods: 4. Breakdown: 0 / ALL GOODS AND SERVICES — CPI; 01 / FOOD AND NON-ALCOHOLIC BEVERAGES — CPI; 01.1 / Food — CPI; 01.1.1 / Cereal products and groats (ND) — CPI; 01.1.1.1 / Groats (ND) — CPI and others
0 / ALL GOODS AND SERVICES — CPI: indicator unchanged at 100 to 100 for 2023–2026. Of 300 largest series, 160 increased, 140 decreased
All table numbers are series: 1923
How to read this table
Each of the 1,923 rows corresponds to a specific category of consumer expenditure, where higher-level positions show major blocks, followed by subgroups and individual items. For example, the row '01.1.1 / Grain products and cereals' belongs to the subgroup '01.1 / Food products,' which in turn falls under the section '01 / Food and non-alcoholic beverages.' Comparisons should be made either within the same level of detail or between years for the same row
What is visible in these numbers
Top five values: 0 / ALL GOODS AND SERVICES — CPI (100), 01 / FOOD AND NON-ALCOHOLIC BEVERAGES — CPI (32.1), 01.1 / Food — CPI (30.4), 01.1.2 / Meat and meat products (ND) — CPI (8.3), 03 / CLOTHING AND FOOTWEAR — CPI (7.18). Gap between highest and lowest is 16 667 times. The top five account for 43.2% of the total sum across all items
Observations are annual, with 4 observation periods in the dataset. There are 1 220 values in the table out of 2 000 possible, or 61%. Data are sparse — many items were not observed throughout the entire period, and aggregate totals for them should not be calculated
More in the section Prices, inflation»
Period and application
Economists, financial market analysts, and specialists involved in calculating and forecasting the consumer price index use this data for in-depth analysis of market conditions. The full dataset for 2023–2026 is presented in tabular and graphical form. Regular updates allow precise tracking of changes in the weights of goods groups, which directly affect the country's final inflation indicators, ensuring transparency in the methodology for forming the consumer basket
How it is calculated
Price series are used for contract and tariff indexation, revenue conversion to comparable prices, and inflation expectation assessment
Table notes: Excluding statistical information for the Donetsk People’s Republic (DPR), Luhansk People’s Republic (LPR), Zaporizhzhia and Kherson regions
* Без учета статистической информации по Донецкой Народной Республике (ДНР), Луганской Народной Республике (ЛНР), Запорожской и Херсонской областям
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