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Price indices for grain purchased by industrial organizations

· dynamics annual · rows: 20 · periods: 12 · section: Prices, inflation

Annual indices from 2010 to 2021 track changes in the cost of grain purchased by industrial enterprises for production. The list contains twenty rows, including aggregate indicators for cereals and legumes, as well as data for wheat and durum wheat. The index reflects price dynamics relative to the previous period, allowing for a comparison of cost change rates across different types of raw materials

Chart of grain price indices for industrial organizations, 2010–2021

0 100 200 300 400 500 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
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Set in numbers

Rosstat data for 2010–2021. Rows: 20, periods: 12. Breakdown by categories: Grain and leguminous crops; Wheat; Durum wheat; Durum wheat excepted; Strong wheat (classes 1 and 2) and others

Buckwheat: indicator decreased from 447.5 to 137.6 over 2010–2021 — by a factor of 3.25. Highest value — 447.5 (2010), lowest — 34.2 (2017). This is an average annual decline of 10.2%. Up to 2016 the change was −75.3%, after that +24.4%. Of the 19 largest rows, 3 increased, 16 declined

All table numbers are series: 20
Series 201020112012201320142015201620172018201920202021
Зерновые и зернобобовые культуры 180,50 74,60 166,90 76,30 127,80 108,50 97,10 77,70 151,40 101,90 134,50 111,30
Пшеница 184,10 74,70 178,10 75,80 130,60 103,00 96,50 76,90 155,00 101,80 133,30 109,60
Пшеница твердая 190,30 70,60 148,10 68,10 185,50 86,90 93,30 83,70 136,80 108,70 135,90 134,40
Пшеница, кроме твердой пшеницы 183,90 74,80 178,40 76,00 129,30 103,70 96,70 76,70 155,80 101,50 133,20 108,50
Пшеница сильная (1 и 2 класса) 155,60 92,10 147,60 68,30 136,30 97,60 111,90 — — — — —
Пшеница мягкая 1 класса — — — — — — — — — 89,20 157,20 97,30
Пшеница мягкая 2 класса — — — — — — — — — 103,10 116,70 124,10
Пшеница мягкая 3 класса 179,70 72,30 178,80 77,50 135,20 100,70 103,80 — — 102,30 136,40 104,50
Пшеница мягкая 4 класса 182,90 76,60 177,60 74,80 125,40 101,70 94,60 — — 102,80 128,40 108,90
Пшеница мягкая 5 класса 193,40 77,40 178,80 74,50 120,90 111,40 87,60 — — 100,10 132,60 113,20
Кукуруза 147,10 80,50 144,50 66,50 137,10 111,30 99,30 82,30 150,80 90,40 154,30 97,80
Ячмень 179,50 83,00 134,70 85,00 99,60 133,50 92,60 87,10 145,80 89,10 120,60 129,50
Рожь 208,00 76,50 157,00 85,10 96,40 132,40 100,40 82,50 140,50 132,30 95,90 124,20
Овес 193,00 76,80 156,10 79,40 94,20 130,40 109,20 82,80 110,10 117,30 159,40 115,90
Гречиха 447,50 41,50 68,00 72,50 277,50 117,30 110,60 34,20 146,20 189,80 158,30 137,60
Просо 176,30 49,30 138,30 104,00 145,80 91,20 76,80 112,60 164,70 85,00 92,40 116,50
Горох сушеный 198,10 65,40 144,20 93,30 127,40 127,80 106,20 61,90 122,00 103,30 135,00 124,50
Семена подсолнечника 180,00 54,30 143,00 65,80 175,00 136,50 85,60 84,30 113,30 91,80 218,30 100,30
Бобы соевые 96,70 94,30 137,40 111,30 109,70 119,50 106,80 84,30 116,70 88,90 154,60 127,10
Семена рапса — — — — — — — — — — — —

How to read this table

Rows are categorized by crop type to allow comparison between general market dynamics and price changes for specific items, such as wheat. Comparing the aggregate row for cereals and legumes with individual rows reveals which specific products influenced the overall national price index. This helps illustrate the structure of price fluctuations in the agro-industrial sector during the specified period

What is visible in these numbers

Highest values: Buckwheat (447.5), Sunflower seeds (218.3), Rye (208). The top three account for 23.9% of the total across all categories

Observations are annual, with 12 observation periods in the dataset. There are 199 values in the table out of 240 possible, which is 82.9%. Individual gaps occur: not all categories were observed in every period

More in the section Prices, inflation»

Period and application

Russian Federation statistics cover the period from 2010 to 2021 and are presented in annual terms. Published by Rosstat, this data is suitable for analyzing market conditions, assessing industrial raw material costs, and monitoring inflationary processes in agriculture

How it is calculated

These rows are used to recalculate long-term contracts, adjust past-year revenue to current money values, and verify whether the selling price outpaces general price growth