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Gross harvest of mustard by region in 2021–2022

· dynamics annual · rows: 222 · periods: 2 · section: Bulletins on the state of agriculture (electronic versions)

Gross mustard harvest volumes for 2021 and 2022 are distributed across the country, including federal districts and individual constituent entities. The list presents data for the Russian Federation as a whole and its regions, allowing for an assessment of each region's contribution to the national total. The indicators cover two years, showing the difference in yields over this period. The information was collected by Rosstat based on data on the state of agriculture across various types of agricultural holdings

shown 25 largest of 222

Chart of gross mustard harvest in the Russian Federation for 2021 and 2022, broken down by regions and federal districts

unchanged Russian Federation — All categories of farms · 2022: 1,834 · 2021: 1,446 · +388.3 Russian Federation… categories of farmsRussian Federation — All categories of farms +388.3 Volga Federal District — All categories of economic entities · 2022: 502.0 · 2021: 197.2 · +304.8 Volga Federal… of economic entitiesVolga Federal District — All categories of economic entities +304.8 Chechen Republic — All types of households · 2022: 122.7 · 2021: 52.8 · +69.9 Chechen Republic — All types of households +69.9 North Caucasian Federal District — all categories of farms · 2022: 270.4 · 2021: 214.2 · +56.3 North Caucasian… categories of farmsNorth Caucasian Federal District — all categories of farms +56.3 Central Federal District — All categories of farms · 2022: 176.2 · 2021: 139.4 · +36.8 Central Federal… categories of farmsCentral Federal District — All categories of farms +36.8 Ryazan Region — all categories of farms · 2022: 30.8 · 2021: 9.90 · +20.9 Ryazan Region — all categories of farms +20.9 Voronezh Region — all categories of farms · 2022: 49.1 · 2021: 29.4 · +19.7 Voronezh Region — all categories of farms +19.7 Kabardino-Balkar Republic — All categories of farms · 2022: 31.5 · 2021: 13.1 · +18.4 Kabardino-Balkar… categories of farmsKabardino-Balkar Republic — All categories of farms +18.4 Republic of Crimea — households of all categories · 2022: 36.3 · 2021: 26.5 · +9.73 Republic of… of all categoriesRepublic of Crimea — households of all categories +9.73 Tula Region — all categories of farms · 2022: 9.18 · 2021: 0.75 · +8.43 Tula Region — all categories of farms +8.43 Moscow Region — all categories of farms · 2022: 7.14 · 2021: 0.81 · +6.33 Moscow Region — all categories of farms +6.33 Republic of Kalmykia — households of all categories · 2022: 7.70 · 2021: 4.33 · +3.37 Republic of… of all categoriesRepublic of Kalmykia — households of all categories +3.37 Kursk Oblast — All categories of farms · 2022: 8.65 · 2021: 5.33 · +3.32 Kursk Oblast — All categories of farms +3.32 Ivanovo Oblast — All categories of farms · 2022: 3.14 · 2021: 0.80 · +2.34 Ivanovo Oblast — All categories of farms +2.34 Orel Oblast — All categories of farms · 2022: 2.00 · 2021: 1.64 · +0.36 Orel Oblast — All categories of farms +0.36 Kaluga Region — all categories of farms · 2022: 0.16 · 2021: 0.15 · +0.01 Kaluga Region — all categories of farms +0.01 Vladimir Region — all categories of farms · 2022: 0.16 · 2021: 0.37 · −0.21 Vladimir Region — all categories of farms −0.21 Krasnodar Territory — Holdings of all categories · 2022: 14.3 · 2021: 14.6 · −0.22 Krasnodar Territor… of all categoriesKrasnodar Territory — Holdings of all categories −0.22 Lipetsk Region — all categories of farms · 2022: 4.46 · 2021: 4.82 · −0.36 Lipetsk Region — all categories of farms −0.36 Tambov Region — all categories of farms · 2022: 13.4 · 2021: 15.6 · −2.15 Tambov Region — all categories of farms −2.15 Rostov Region — all categories of farms · 2022: 165.0 · 2021: 179.8 · −14.8 Rostov Region — all categories of farms −14.8 Belgorod Region — all categories of farms · 2022: 47.5 · 2021: 69.5 · −21.9 Belgorod Region — all categories of farms −21.9 Stavropol Territory — All categories of farms · 2022: 116.2 · 2021: 140.6 · −24.4 Stavropol Territor… categories of farmsStavropol Territory — All categories of farms −24.4 Volgograd Region — All categories of farms · 2022: 506.3 · 2021: 579.3 · −73.0 Volgograd Region — All categories of farms −73.0 Southern Federal District — All types of households · 2022: 730.6 · 2021: 804.6 · −74.0 Southern Federal… types of householdsSouthern Federal District — All types of households −74.0
how it will look

Set in numbers

Rosstat data for 2021–2022. Series: 222, period: 2. Breakdown by items: Russian Federation — All categories of farms; Central Federal District — All categories of farms; Belgorod Region — All categories of farms; Vladimir Region — All categories of farms; Voronezh Region — All categories of farms and others

Russian Federation — All categories of farms: the indicator increased from 1,446 to 1,834 in 2021–2022 — by 26.9%. Of the 25 largest series, 16 increased and 9 decreased

All table numbers are series: 222
Series 20212022
Республика Хакасия — Хозяйства всех категорий — 5,11
Алтайский край — Сельскохозяйственные организации — 71,52
Алтайский край — из них: малые предприятия — 50,19
Алтайский край — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 17,17
Алтайский край — Хозяйства всех категорий 63,52 88,70
Красноярский край — Сельскохозяйственные организации — 0,57
Красноярский край — из них: малые предприятия — 0,21
Красноярский край — Хозяйства населения — 0,02
Красноярский край — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 0,68
Красноярский край — Хозяйства всех категорий 3,70 1,26
Иркутская область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 1,84
Иркутская область — Хозяйства всех категорий 2,87 1,84
Кемеровская область - Кузбасс — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 0,29
Кемеровская область - Кузбасс — Хозяйства всех категорий 0,44 0,29
Новосибирская область — Сельскохозяйственные организации — 29,23
Новосибирская область — из них: малые предприятия — 23,79
Новосибирская область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 12,31
Новосибирская область — Хозяйства всех категорий 10,27 41,54
Омская область — Сельскохозяйственные организации — 5,42
Омская область — из них: малые предприятия — 5,25
Омская область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 3,39
Омская область — Хозяйства всех категорий 6,47 8,80

How to read this table

The rows in the list are classified geographically, ranging from the national total to specific constituent entities, such as Stavropol Krai or the North Caucasian Federal District. It is possible to compare the indicators of neighboring regions or compare the results of a single entity with the district total. This helps identify the main mustard production centers and understand which territories contribute most to the total harvest. Comparing data for different years within a single row shows local harvest dynamics

What is visible in these numbers

Top five values: Russian Federation — All categories of farms (1,834), Southern Federal District — All categories of farms (804.6), Volgograd Region — All categories of farms (579.3), Volga Federal District — All categories of farms (502), North Caucasian Federal District — All categories of farms (270.4). The gap between the highest and lowest is 11,834 times. The top five account for 81.4% of the total across all items — the distribution is heavily skewed toward the top

Observations are annual; there are 2 periods in total. 50 of 50 possible values are filled (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

The statistics cover the period from 2021 to 2022. Data are updated as Rosstat publishes agricultural bulletins. This information is useful for agronomists, agricultural market analysts, and raw material procurement specialists in the food industry. The information allows for assessing crop availability in specific Russian regions for logistics planning and crop processing

How it is calculated

Data on sown areas, yield and livestock are used in planning raw material procurement, crop assessment and forecasting food prices