Gross harvest of winter barley
Gross harvest of winter barley measures the volumes of the harvested crop in farms of all categories. How have these indicators changed across Russia and its constituent entities over the past two years? The table helps to identify regional differences and overall trends
Gross harvest of winter barley in farms of all categories by year
Set in numbers
The table is a snapshot — 40 series shown across 6 breakdowns. 160 values in total.
“ leads the table with 26,823, “ closes it with 0.119. The gap between them is 225,406-fold.
All table numbers are series: 40
| Series | 2025 | 2025 | 2025 | 2025 | 2025 | 2024 |
|---|---|---|---|---|---|---|
| Российская Федерация | 18 137,39 | 6 234,88 | 454,74 | 8 137,57 | 26 729,70 | 26 823,32 |
| Центральный федеральный округ | 392,33 | 78,36 | 0,10 | 28,51 | 420,94 | 283,78 |
| Белгородская область | 8,15 | — | — | 3,69 | 11,84 | 5,47 |
| Брянская область | 148,45 | — | — | 4,34 | 152,78 | 102,18 |
| Владимирская область | 9,80 | — | — | — | 9,80 | — |
| Воронежская область | 193,47 | 16,91 | — | 18,03 | 211,50 | 71,16 |
| Калужская область | — | — | — | — | — | — |
| Курская область | — | — | — | — | — | 98,12 |
| Липецкая область | — | — | — | 1,55 | 1,55 | — |
| Рязанская область | — | — | 0,10 | 0,30 | 0,40 | 0,12 |
| Смоленская область | — | — | — | — | — | 1,60 |
| Тамбовская область | 0,60 | 0,60 | — | 0,61 | 1,21 | — |
| Тульская область | 1,74 | 1,74 | — | — | 1,74 | 1,25 |
| Северо-Западный федеральный округ | 904,52 | — | 0,98 | 21,00 | 926,49 | 662,76 |
| Калининградская область | — | — | 0,98 | 21,00 | — | 658,64 |
| Ленинградская область | — | — | — | — | — | — |
| Южный федеральный округ | 8 654,13 | 2 736,50 | 199,00 | 5 139,38 | 13 992,51 | 16 804,70 |
| Республика Адыгея (Адыгея) | 140,58 | 92,10 | 48,14 | 234,88 | 423,61 | 427,93 |
| Республика Калмыкия | 18,92 | 17,69 | — | 87,20 | 106,12 | 111,48 |
| Республика Крым | 1 536,08 | 1 200,38 | 125,97 | 1 369,99 | 3 032,04 | 3 739,07 |
| Краснодарский край | 6 401,37 | 1 139,43 | 13,24 | 3 095,69 | 9 510,31 | 11 075,37 |
| Астраханская область | 3,41 | 3,41 | — | — | 3,41 | — |
| Волгоградская область | 56,15 | 37,00 | — | 56,03 | 112,19 | 53,73 |
| Ростовская область | 497,61 | 246,50 | 11,64 | 295,59 | 804,85 | 1 397,12 |
| Северо-Кавказский федеральный округ | 8 130,15 | 3 229,79 | 251,99 | 2 939,63 | 11 321,78 | 9 050,97 |
| Республика Дагестан | 262,78 | 206,72 | 211,81 | 66,33 | 540,91 | 499,49 |
| Республика Ингушетия | 71,17 | 25,16 | — | 11,73 | 82,90 | 35,25 |
| Кабардино-Балкарская Республика | 263,25 | 248,44 | 23,17 | 182,67 | 469,10 | 278,43 |
| Карачаево-Черкесская Республика | 35,01 | 35,01 | 4,72 | 30,07 | 69,79 | 61,08 |
| Республика Северная Осетия-Алания | 121,64 | 108,94 | 0,64 | 114,34 | 236,62 | 87,57 |
| Чеченская Республика | 838,02 | 790,77 | — | 501,90 | 1 339,92 | 717,31 |
| Ставропольский край | 6 538,28 | 1 814,76 | 11,65 | 2 032,60 | 8 582,53 | 7 371,85 |
| Приволжский федеральный округ | 56,26 | — | 2,67 | 9,05 | 67,97 | 21,10 |
| Республика Марий Эл | 31,50 | 6,22 | — | — | 31,50 | — |
| Республика Татарстан (Татарстан) | — | — | 2,67 | — | — | 9,10 |
| Кировская область | — | — | — | — | — | — |
| Нижегородская область | 3,19 | 3,19 | — | — | 3,19 | — |
| Пензенская область | — | — | — | — | — | 0,20 |
| Самарская область | 2,63 | 2,38 | — | 1,55 | 4,17 | — |
| Саратовская область | — | — | — | 7,50 | — | 1,95 |
How to read this table
The table rows vary by aggregation level: Russia as a whole, federal districts and individual regions. Comparing data between rows shows which territories make the main contribution to the total harvest and where fluctuations are observed year-on-year
What is visible in these numbers
Only 89% of the cells carry a value — empty cells are missing in the source publication and are not filled in here.
The same indicator in other breakdowns (3)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
The table presents data for 2024 and 2025. Information is updated annually following the final results of the agricultural season. These data are useful for farmers to analyze yield, regional authorities to assess food security and experts to monitor industry dynamics
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