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Official Rosstat statistics turned into charts instead of CSV and XLSX

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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), excluding small businesses with an average number of employees exceeding 15 in 2021, tonnes

· snapshot · rows: 9 · periods: 12 · section: Wholesale trade and commodity markets

Goods stocks in tons were recorded for wholesale organizations that are not classified as small businesses and had an average number of employees exceeding 15 in 2021. The rows are categorized by territory: data is provided for the entire Russian Federation, as well as for the Central and Volga Federal Districts. The indicator is broken down by month from January to December, showing the volume of accumulated resources throughout the year

Chart of stocks of specific goods in wholesale trade by districts for 2021, tons

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Russian Federation Russian Federation / Jan: 13,898 Russian Federation / Feb: 13,107 Russian Federation / Mar: 17,942 Russian Federation / Apr: 17,822 Russian Federation / May: 19,221 Russian Federation / Jun: 19,244 Russian Federation / Jul: 16,286 Russian Federation / Aug: 14,891 Russian Federation / Sep: 17,648 Russian Federation / Oct: 14,748 Russian Federation / Nov: 14,338 Russian Federation / Dec: 19,990 Central Federal District Central Federal District / Jan: 1,243 Central Federal District / Feb: 1,476 Central Federal District / Mar: 3,938 Central Federal District / Apr: 3,188 Central Federal District / May: 5,011 Central Federal District / Jun: 3,964 Central Federal District / Jul: 2,231 Central Federal District / Aug: 3,088 Central Federal District / Sep: 3,314 Central Federal District / Oct: 2,762 Central Federal District / Nov: 1,169 Central Federal District / Dec: 2,640 Voronezh Region Voronezh Region / Jun: 1,940 Voronezh Region / Sep: 2,304 North Caucasian Federal District North Caucasian Federal District / Jan: 1,640 North Caucasian Federal District / Feb: 1,489 North Caucasian Federal District / Mar: 1,096 North Caucasian Federal District / Apr: 1,563 Volga Federal District Volga Federal District / Jan: 3,174 Volga Federal District / Feb: 1,909 Volga Federal District / Mar: 3,688 Volga Federal District / Apr: 3,774 Volga Federal District / May: 3,889 Volga Federal District / Jun: 5,962 Volga Federal District / Jul: 5,165 Volga Federal District / Aug: 3,516 Volga Federal District / Sep: 5,092 Volga Federal District / Oct: 5,017 Volga Federal District / Nov: 4,070 Volga Federal District / Dec: 8,694 Republic of Tatarstan (Tatarstan) Republic of Tatarstan (Tatarstan) / May: 606.7 Republic of Tatarstan (Tatarstan) / Jul: 386.2 Republic of Tatarstan (Tatarstan) / Aug: 316.8 Republic of Tatarstan (Tatarstan) / Oct: 253.2 Republic of Tatarstan (Tatarstan) / Nov: 391.4 Republic of Tatarstan (Tatarstan) / Dec: 625.2 Ulyanovsk Region Ulyanovsk Region / Jan: 338.4 Ulyanovsk Region / Feb: 332.2 Ulyanovsk Region / Mar: 344.1 Ulyanovsk Region / Apr: 353.8 Ulyanovsk Region / May: 391.3 Ulyanovsk Region / Jun: 335.7 Ulyanovsk Region / Jul: 478.6 Ulyanovsk Region / Aug: 314.6 Ulyanovsk Region / Sep: 234.6 Ulyanovsk Region / Oct: 269.2 Ulyanovsk Region / Nov: 450.7 Ulyanovsk Region / Dec: 472.4 Ural Federal District Ural Federal District / Jan: 826.7 Ural Federal District / Mar: 598.0 Ural Federal District / Apr: 528.0 Ural Federal District / May: 646.2 Ural Federal District / Jun: 624.3 Ural Federal District / Jul: 645.2 Ural Federal District / Aug: 625.9 Ural Federal District / Sep: 573.5 Ural Federal District / Oct: 676.6 Ural Federal District / Nov: 794.8 Ural Federal District / Dec: 1,159 Siberian Federal District Siberian Federal District / Jan: 5,837 Siberian Federal District / Feb: 6,885 Siberian Federal District / Mar: 6,723 Siberian Federal District / Apr: 7,246 Siberian Federal District / May: 6,415 Siberian Federal District / Jun: 4,997 Siberian Federal District / Jul: 6,069 Siberian Federal District / Aug: 5,295 Siberian Federal District / Sep: 5,052 Siberian Federal District / Oct: 3,652 Siberian Federal District / Nov: 4,271 Siberian Federal District / Dec: 4,810
how it will look

Set in numbers

The table is a snapshot — 9 series shown across 12 breakdowns. 83 values in total.

The largest value belongs to “Russian Federation” — 19,990; the smallest is “Ulyanovsk Region” at 472. The gap between them is 42.3-fold.

All table numbers are series: 9
Series JanFebMarAprMayJunJulAugSepOctNovDec
Российская Федерация 13 897,52 13 106,83 17 941,69 17 822,37 19 220,63 19 244,47 16 286,36 14 891,00 17 648,00 14 748,48 14 338,30 19 990,40
Центральный федеральный округ 1 243,35 1 476,40 3 937,96 3 187,77 5 011,35 3 963,74 2 231,00 3 087,80 3 313,80 2 761,80 1 169,00 2 640,00
Воронежская область — — — — — 1 940,34 — — 2 303,80 — — —
Северо-Кавказский федеральный округ 1 640,00 1 488,70 1 095,56 1 562,80 — — — — — — — —
Приволжский федеральный округ 3 174,37 1 908,63 3 687,98 3 774,07 3 889,08 5 962,25 5 165,08 3 516,20 5 091,75 5 017,11 4 069,70 8 693,90
Республика Татарстан (Татарстан) — — — — 606,74 — 386,17 316,80 — 253,21 391,40 625,20
Ульяновская область 338,40 332,22 344,11 353,81 391,34 335,65 478,63 314,61 234,56 269,15 450,70 472,40
Уральский федеральный округ 826,70 — 598,00 528,00 646,20 624,30 645,20 625,90 573,50 676,60 794,80 1 159,30
Сибирский федеральный округ 5 837,10 6 885,20 6 723,40 7 245,73 6 415,00 4 997,19 6 069,19 5 294,70 5 051,65 3 651,77 4 271,40 4 810,10

How to read this table

Comparing row values shows the difference in goods storage volumes between the whole country and individual federal districts. One can track how stocks changed within each region during the year and how volumes in the Central or Volga districts compare to national indicators. All calculations are in tons. For example, for the Russian Federation, the indicator was 13897.52 tons in January and 19990.4 tons in December, clearly reflecting the state of warehouse stocks in large companies

What is visible in these numbers

The table is 77% filled: Rosstat does not publish every cell, and the gaps are left as they are rather than interpolated.

More in the section Wholesale trade and commodity markets»

Period and application

The coverage period includes all twelve months of 2021, from January to December. The data was prepared by Rosstat to analyze the warehouse stocks of large wholesale companies. The information is useful for commodity market specialists, logisticians, and economists to assess commodity flows in the wholesale sector. The data is relevant for studying seasonal fluctuations in stocks within organizations whose principal economic activity is wholesale trade and which are not small business entities