Structure of household consumer expenditure for the consumer price index calculation
time series · annual · 1923 series · 2023–2026
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.'
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
Download and API
Download CSV · JSON · chart specification
curl "https://roschart.ru/api/dataset/vesa-tov-kipc-2012-2026-struktura-potrebitelskih-rashodov-na"No key is needed for a few requests; a free key raises the limit — see the API page.
All values
| Series | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|
| 01 / ПРОДУКТЫ ПИТАНИЯ И БЕЗАЛКОГОЛЬНЫЕ НАПИТКИ — СПР | 31.13 | 31.58 | 32.13 | 31.82 |
| 01.1 / Продукты питания — СПР | 29.33 | 29.81 | 30.36 | 29.98 |
| 01.1.1 / Зерновые продукты и крупы (НД) — СПР | 5.19 | 5.07 | 5.07 | 5.13 |
| 01.1.1.1.1 / Рис — СПР | 0.26 | 0.30 | 0.29 | 0.31 |
| 01.1.1.1.2 / Крупа гречневая — СПР | 0.19 | 0.19 | 0.19 | 0.21 |
| 01.1.1.1.3 / Пшено — СПР | 0.03 | 0.04 | 0.04 | 0.04 |
| 01.1.1.1.4 / Крупа манная — СПР | 0.03 | 0.03 | 0.04 | 0.03 |
| 01.1.1.1.5 / Крупы овсяная и перловая — СПР | 0.02 | 0.02 | 0.03 | 0.03 |
| 01.1.1.3.1 / Хлеб пшеничный — СПР | 0.70 | 0.72 | 0.73 | 0.73 |
| 01.1.1.3.1.3 / Хлеб и булочные изделия из пшеничной муки различных сортов, кг — СПР | 0.70 | 0.72 | 0.73 | 0.73 |
| 01.1.1.3.2 / Хлеб ржаной и прочий — СПР | 0.41 | 0.39 | 0.40 | 0.40 |
| 01.1.1.3.2.1 / Хлеб из ржаной муки и из смеси муки ржаной и пшеничной, кг — СПР | 0.41 | 0.39 | 0.40 | 0.40 |
| 01.1.1.3.3 / Булочные изделия сдобные — СПР | 0.21 | 0.22 | 0.23 | 0.24 |
| 01.1.1.3.5 / Бараночные изделия — СПР | 0.13 | 0.13 | 0.13 | 0.13 |
| 01.1.1.3.6 / Печенье — СПР | 0.64 | 0.58 | 0.56 | 0.57 |
| 01.1.1.3.7 / Пряники — СПР | 0.14 | 0.13 | 0.13 | 0.13 |
| 01.1.1.3.8 / Торты и пироги — СПР | 0.74 | 0.70 | 0.71 | 0.75 |
| 01.1.1.4.1 / Овсяные хлопья Геркулес — СПР | 0.06 | 0.05 | 0.05 | 0.05 |
| 01.1.1.4.2 / Другие сухие завтраки — СПР | 0.08 | 0.07 | 0.06 | 0.06 |
| 01.1.1.5.1 / Вермишель — СПР | 0.15 | 0.13 | 0.12 | 0.11 |
| 01.1.1.5.1.1 / Вермишель, кг — СПР | 0.15 | 0.13 | 0.12 | 0.11 |
| 01.1.1.5.2 / Другие макаронные изделия — СПР | 0.40 | 0.33 | 0.31 | 0.30 |
| 01.1.1.5.2.1 / Макаронные изделия из пшеничной муки высшего сорта, кг — СПР | 0.40 | 0.33 | 0.31 | 0.30 |
| 01.1.2 / Мясо животных и мясопродукты (НД) — СПР | 7.92 | 8.30 | 8.05 | 8.04 |
| 01.1.2.2.1 / Говядина с костями — СПР | 0.66 | 0.65 | 0.63 | 0.64 |
Showing 25 of 1923 series; the CSV export contains all of them.
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
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 this section
- Price indices for non-food products in Russia, 1991–2026
- Price indices for food products in Russia, 1991–2026
- Consumer price indices in Russia, 1991–2026
- Price indices for services in Russia, 1991–2026
- Structure of household consumer expenditure by goods for CPI calculation
- Weight structure for calculating producer price indices, 2017–2026
- Weight structure for calculating producer price indices, 2017–2026
- Structure of household consumer expenditure for CPI calculation
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
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
About this table
The table is taken from a Rosstat publication and is reproduced without changes to the figures. Where the original workbook is known, it is named below; each upload keeps previous values, so revisions stay visible.
Source workbook: Vesa-tov-KIPC_2012-2026