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Gross harvest of maize for silage, green fodder and haylage, 2021–2022

green mass weight

· dynamics annual · rows: 319 · periods: 2 · section: Bulletins on the state of agriculture (electronic versions)

251465.1956 thousand tons of green mass corn were harvested in 2022 across the Russian Federation, whereas the previous year the figure was 227196.224. This data is presented by constituent entities of the country, showing production volumes in Bryansk Oblast, other regions, and federal districts. The indicator reflects the gross harvest of the crop for silage, green fodder, and haylage, covering the period from 2021 to 2022 for all categories of farms

shown 25 largest of 319

Chart of gross corn harvest for silage, green fodder, and haylage by Russian regions for 2021–2022, green mass weight

unchanged Russian Federation — All categories of farms · 2022: 268,020 green mass weight · 2021: 227,196 · +40,823 Russian Federation… categories of farmsRussian Federation — All categories of farms +40,823 Central Federal District — All categories of farms · 2022: 91,634 green mass weight · 2021: 82,171 · +9,463 Central Federal… categories of farmsCentral Federal District — All categories of farms +9,463 Bryansk Region — all categories of farms · 2022: 9,143 green mass weight · 2021: 5,377 · +3,766 Bryansk Region — all categories of farms +3,766 Southern Federal District — All types of households · 2022: 24,165 green mass weight · 2021: 21,631 · +2,534 Southern Federal… types of householdsSouthern Federal District — All types of households +2,534 Northwestern Federal District — All categories of farms · 2022: 8,357 green mass weight · 2021: 6,065 · +2,292 Northwestern… categories of farmsNorthwestern Federal District — All categories of farms +2,292 Kaluga Region — all categories of farms · 2022: 7,014 green mass weight · 2021: 5,455 · +1,559 Kaluga Region — all categories of farms +1,559 Kursk Oblast — All categories of farms · 2022: 6,566 green mass weight · 2021: 5,108 · +1,457 Kursk Oblast — All categories of farms +1,457 Kaliningrad region — All categories of farms · 2022: 4,049 green mass weight · 2021: 2,808 · +1,241 Kaliningrad… categories of farmsKaliningrad region — All categories of farms +1,241 Belgorod Region — all categories of farms · 2022: 10,778 green mass weight · 2021: 9,777 · +1,000 Belgorod Region — all categories of farms +1,000 Tula Region — all categories of farms · 2022: 4,631 green mass weight · 2021: 3,669 · +962.2 Tula Region — all categories of farms +962.2 Vladimir Region — all categories of farms · 2022: 5,815 green mass weight · 2021: 5,212 · +602.5 Vladimir Region — all categories of farms +602.5 Ryazan Region — all categories of farms · 2022: 7,946 green mass weight · 2021: 7,359 · +586.7 Ryazan Region — all categories of farms +586.7 Tver Region — all categories of farms · 2022: 1,668 green mass weight · 2021: 1,133 · +535.4 Tver Region — all categories of farms +535.4 Pskov Region — All types of households · 2022: 1,764 green mass weight · 2021: 1,325 · +439.0 Pskov Region — All types of households +439.0 Leningrad Region — All types of households · 2022: 1,149 green mass weight · 2021: 800.7 · +347.9 Leningrad Region — All types of households +347.9 Vologda Oblast — All categories of farms · 2022: 1,209 green mass weight · 2021: 990.7 · +218.7 Vologda Oblast — All categories of farms +218.7 Yaroslavl Region — all categories of farms · 2022: 1,892 green mass weight · 2021: 1,682 · +210.5 Yaroslavl Region — all categories of farms +210.5 Lipetsk Region — all categories of farms · 2022: 3,943 green mass weight · 2021: 3,741 · +201.7 Lipetsk Region — all categories of farms +201.7 Republic of Adygea — All categories of farms · 2022: 321.9 green mass weight · 2021: 270.8 · +51.2 Republic of… categories of farmsRepublic of Adygea — All categories of farms +51.2 Orel Oblast — All categories of farms · 2022: 4,419 green mass weight · 2021: 4,396 · +23.8 Orel Oblast — All categories of farms +23.8 Moscow Region — all categories of farms · 2022: 6,300 green mass weight · 2021: 6,497 · −197.5 Moscow Region — all categories of farms −197.5 Ivanovo Oblast — All categories of farms · 2022: 725.2 green mass weight · 2021: 1,037 · −311.5 Ivanovo Oblast — All categories of farms −311.5 Tambov Region — all categories of farms · 2022: 1,769 green mass weight · 2021: 2,084 · −314.2 Tambov Region — all categories of farms −314.2 Smolensk Oblast — All categories of farms · 2022: 2,266 green mass weight · 2021: 2,612 · −346.4 Smolensk Oblast — All categories of farms −346.4 Voronezh Region — all categories of farms · 2022: 16,312 green mass weight · 2021: 16,662 · −349.5 Voronezh Region — all categories of farms −349.5
how it will look

Set in numbers

Rosstat data for 2021–2022. Rows: 319, periods: 2. Measurement unit — weight of green mass. Table rows: Russian Federation — All categories of farms; Central Federal District — All categories of farms; Belgorod Oblast — All categories of farms; Bryansk Oblast — All categories of farms; Vladimir Oblast — All categories of farms and others

Russian Federation — All categories of farms: indicator increased from 227 196 to 268 020 for 2021–2022 — by 18%. Of the 25 largest rows, 20 increased, 5 declined

All table numbers are series: 319
Series 20212022
Республика Бурятия — Сельскохозяйственные организации — 8,13
Республика Бурятия — из них: малые предприятия — 4,38
Республика Бурятия — Хозяйства всех категорий 5,66 8,13
Республика Саха (Якутия) — Сельскохозяйственные организации — 6,15
Республика Саха (Якутия) — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 8,05
Республика Саха (Якутия) — Хозяйства всех категорий 0,15 14,20
Приморский край — Сельскохозяйственные организации — 556,43
Приморский край — из них: малые предприятия — 235,26
Приморский край — Хозяйства населения — 4,04
Приморский край — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 177,38
Приморский край — Хозяйства всех категорий 1 073,88 737,85
Хабаровский край — Сельскохозяйственные организации — 3,13
Хабаровский край — Хозяйства всех категорий 295,69 3,13
Амурская область — Сельскохозяйственные организации — 1 319,61
Амурская область — из них: малые предприятия — 35,00
Амурская область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 27,00
Амурская область — Хозяйства всех категорий 1 331,28 1 346,61
Сахалинская область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 2,00
Сахалинская область — Хозяйства всех категорий 36,89 2,00

How to read this table

Seventy-eight rows divide the indicators by geographic attribute, from the national total to data for specific oblasts. Comparing these series allows for an assessment of each federal district's contribution to the national forage base harvest. Information is provided in green mass weight, ensuring comparability of harvest volumes between subjects with significantly different climatic conditions and sown areas

What is visible in these numbers

Five largest values: Russian Federation — All categories of farms (268 020), Central Federal District — All categories of farms (91 634), Southern Federal District — All categories of farms (24 165), Voronezh Oblast — All categories of farms (16 662), Belgorod Oblast — All categories of farms (10 778). Gap between largest and smallest — by 832.5 times. The top five account for 83.4% of the total across all entries — distribution is heavily skewed toward the top

Observations are annual, with 2 observation periods in the dataset. There are 50 values in the table out of 50 possible, i.e. 100% — almost no empty cells remain

The same indicator for other periods

More in the section Bulletins on the state of agriculture (electronic versions)»

Period and application

Statistics are prepared based on agricultural status data and are available for analysis over two years. Rosstat updates this data upon completion of reporting periods, helping agricultural specialists and economists assess forage production dynamics. The information is useful for those studying livestock feed security and planning farm development in Russian regions based on current corn harvest results

How it is calculated

This year’s harvest and livestock numbers determine next year’s procurement prices: processors need such rows earlier than supplier price lists