Stocks of selected goods in organisations whose main economic activity is wholesale trade (sum of codes 46, 45.11.1, 45.19.1, 45.31.1 and 45.40.1), not small businesses, with average number of employees exceeding 15, in 2022, thousand pairs: footwear, excluding sports, protective and orthopaedic
In thousands of pairs, inventories of footwear, excluding sports, protective and orthopedic, in wholesale trade organisations where the average number of employees is 15 or more in 2022. Rows differ by geographic coverage: from figures for the whole Russian Federation to data for federal districts and individual subjects such as Voronezh Oblast. Information is broken down by month from January to December, with December values marked with an asterisk as preliminary
Chart of footwear inventories in wholesale trade by month 2022, in thousands of pairs
Set in numbers
Rosstat data. Rows: 30, indicators: 12. The breakdown is by the following positions: Russian Federation; Central Federal District; Voronezh Oblast; Moscow Oblast; City of Moscow, capital of the Russian Federation, a city of federal significance; and others
The five largest values: Russian Federation (16 721), Northwestern Federal District (7 499), Siberian Federal District (6 423), Novosibirsk Oblast (6 369), Central Federal District (3 082). The gap between the largest and smallest is 2 172 times. The top five account for 89.7% of the total for all positions — the distribution is heavily skewed toward the top
All table numbers are series: 30
| Series | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct* | Nov* | Dec* |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Российская Федерация | 8 477,89 | 16 720,95 | 14 150,90 | 13 111,23 | 14 563,74 | 14 367,24 | 14 442,66 | 14 778,84 | 14 230,15 | 12 314,09 | 12 251,20 | 13 456,64 |
| Центральный федеральный округ | 1 760,92 | 2 379,60 | 2 356,03 | 2 217,70 | 2 353,69 | 2 255,37 | 2 486,23 | 2 703,21 | 2 522,55 | 1 789,33 | 2 459,65 | 3 081,95 |
| Воронежская область | 9,53 | 17,95 | 18,91 | 29,10 | 10,39 | 9,36 | 19,10 | 10,40 | 7,40 | 12,22 | 14,70 | 19,10 |
| Московская область | 815,90 | 1 165,00 | 1 000,21 | 839,87 | 612,20 | 609,08 | 624,43 | 577,45 | 541,85 | 665,83 | 1 183,06 | 1 369,47 |
| Город Москва столица Российской Федерации город федерального значения | 895,86 | 1 053,60 | 1 306,97 | 1 268,61 | 1 662,29 | 1 571,48 | 1 807,52 | 2 068,47 | 1 945,50 | 1 083,88 | 1 231,69 | 1 658,92 |
| Северо-Западный федеральный округ | 15,40 | 7 499,12 | 5 676,95 | 4 877,73 | 6 276,01 | 6 102,93 | 5 907,63 | 5 860,32 | 6 260,00 | 5 353,65 | 4 592,88 | 5 138,31 |
| Город Санкт-Петербург город федерального значения | 12,00 | 14,60 | 15,50 | 9,40 | 7,20 | 7,30 | 7,40 | 13,20 | 11,70 | 8,70 | 7,80 | 8,70 |
| Южный федеральный округ (с 29.07.20 | 23,21 | 109,01 | 24,01 | 19,85 | 17,45 | 15,65 | 16,25 | 28,82 | 17,31 | 14,85 | 21,43 | 20,02 |
| Республика Адыгея (Адыгея) | 3,00 | — | 3,60 | 3,40 | — | — | — | — | — | — | — | — |
| Ростовская область | 5,71 | 5,21 | 5,01 | 4,05 | 3,35 | 3,45 | 3,25 | 9,22 | 4,01 | 3,55 | 4,13 | 5,02 |
| Северо-Кавказский федеральный округ | 5,50 | 5,40 | 6,00 | 5,20 | 4,30 | 3,80 | 3,70 | 10,10 | 3,40 | 4,80 | 2,80 | 4,70 |
| Приволжский федеральный округ | 118,00 | 317,62 | 122,16 | 108,25 | 103,70 | 116,26 | 123,95 | 170,29 | 135,50 | 134,46 | 121,64 | 128,57 |
| Республика Башкортостан | 9,22 | 10,73 | 11,91 | 10,09 | 9,76 | 10,14 | 13,23 | 17,67 | 16,00 | 15,76 | 12,05 | 11,27 |
| Республика Татарстан (Татарстан) | 37,08 | 38,57 | 36,91 | 37,40 | 36,30 | 32,60 | 37,60 | 45,40 | 36,20 | 37,80 | 30,80 | 35,10 |
| Удмуртская Республика | — | — | — | — | — | — | — | 6,40 | — | — | — | — |
| Пермский край | 27,10 | 30,00 | 31,20 | — | — | 33,50 | 33,40 | 42,30 | 38,40 | 38,20 | 40,50 | 34,80 |
| Кировская область | — | — | — | — | — | — | — | 9,40 | 7,80 | — | — | 6,50 |
| Нижегородская область | 6,00 | 5,90 | 4,50 | — | — | — | — | 8,30 | — | 2,90 | — | 3,90 |
| Пензенская область | 2,90 | 3,02 | 3,32 | 3,01 | 2,91 | 6,10 | 6,20 | 7,70 | 7,30 | 6,80 | 5,89 | 6,70 |
| Самарская область | 14,00 | 12,80 | 12,60 | 12,40 | 10,40 | 10,40 | 10,00 | 19,00 | 12,10 | 9,60 | 9,20 | 10,50 |
| Саратовская область | 4,40 | 117,00 | 5,32 | 4,85 | 4,63 | 7,32 | 7,32 | 8,52 | 6,90 | 6,60 | 7,80 | 9,40 |
| Уральский федеральный округ | 36,40 | 158,10 | 59,30 | 67,00 | 47,50 | 35,90 | 41,80 | 46,10 | 43,00 | 38,60 | 59,40 | 38,10 |
| Свердловская область | 12,90 | 13,70 | 32,90 | 46,30 | 26,80 | 11,20 | 18,60 | 15,80 | 15,30 | 11,50 | 31,90 | 14,70 |
| Тюменская область | 16,40 | 137,20 | 16,60 | 11,50 | 12,20 | 16,60 | 15,40 | 19,50 | 19,50 | 20,10 | 20,10 | 16,40 |
| Ханты-Мансийский автономный округ - Югра (Тюменская область) | 11,00 | 10,10 | 10,40 | 6,30 | 6,70 | 11,70 | 11,00 | 11,30 | 12,40 | 13,10 | 14,00 | 10,10 |
| Челябинская область | 7,10 | 7,20 | 9,80 | 9,20 | 8,50 | 8,10 | 7,80 | 10,80 | 8,20 | 7,00 | 7,40 | 7,00 |
| Сибирский федеральный округ | 6 423,40 | 6 152,10 | 5 856,45 | 5 814,50 | 5 759,10 | 5 833,01 | 5 853,10 | 5 945,00 | 5 208,40 | 4 938,40 | 4 988,40 | 5 035,00 |
| Кемеровская область - Кузбасс | 38,80 | 39,10 | 41,20 | 39,80 | 36,30 | 42,60 | 40,50 | 39,50 | 37,00 | 34,40 | 32,10 | 31,90 |
| Новосибирская область | 6 368,90 | 6 097,00 | 5 796,32 | 5 758,10 | 5 708,60 | 5 776,21 | 5 801,50 | 5 890,70 | 5 158,70 | 4 892,60 | 4 945,10 | 4 988,90 |
| Омская область | — | — | 5,13 | — | — | — | — | — | — | — | — | — |
How to read this table
Comparing rows allows assessment of which regions or federal districts concentrate the main volumes of warehouse inventories of this product category. One can compare the level of footwear provision in large districts and specific oblasts to see differences in the scale of wholesale warehouses. For analysis it is enough to look at the values in each month’s columns to track the distribution of goods across the country
What is visible in these numbers
Indicators of the set: January; February; March; April; June; July; August; September; October*; November*; December*
Cells with numbers: 298 out of 300 (99.3%). There are gaps, but they are isolated: for some positions, observations were not conducted consistently
More in the section Wholesale trade and commodity markets»
Period and application
The information is current for 2022 and covers the period from January to December. Rosstat data are useful for analyzing product markets, planning logistics and assessing warehouse capacities of wholesale companies. The information is presented for large organisations not classified as small businesses
How it is calculated
Such figures help to distinguish a growing market from a market where shares are simply being redistributed among suppliers
Source disclaimers: data for the Russian Federation are compiled excluding statistical information for the Donetsk People's Republic (DPR), the Lugansk People's Republic (LPR), and the Zaporozhye and Kherson Oblasts
*данные по Российской Федерации сформированы без учета статистической информации по Донецкой Народной Республике (ДНР), Луганской Народной Республике (ЛНР), Запорожской и Херсонской областям
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