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Yield of nut crops by region of the Russian Federation

· dynamics annual · rows: 135 · periods: 2 · section: Bulletins on the state of agriculture (electronic versions)

Yield of nut crops in centners per hectare across various parts of the country for 2021 and 2022. Table rows are categorized by federal districts and the Russian Federation as a whole, enabling productivity comparisons across territories. Data covers all farm categories, though the exact unit of measurement is not specified in the source materials

shown 25 largest of 135

Chart of nut crop yields by Russian regions for 2021–2022

unchanged Kursk Oblast — All categories of farms · 2022: 50.0 · 2021: 21.7 · +28.3 Kursk Oblast — All categories of farms +28.3 Lipetsk Region — all categories of farms · 2022: 22.6 · 2021: 5.50 · +17.1 Lipetsk Region — all categories of farms +17.1 Kostroma Region — all categories of farms · 2022: 23.0 · 2021: 7.00 · +16.0 Kostroma Region — all categories of farms +16.0 Krasnodar Territory — Holdings of all categories · 2022: 33.6 · 2021: 20.4 · +13.2 Krasnodar Territor… of all categoriesKrasnodar Territory — Holdings of all categories +13.2 Astrakhan Region — all categories of farms · 2022: 69.7 · 2021: 59.5 · +10.2 Astrakhan Region — all categories of farms +10.2 Central Federal District — All categories of farms · 2022: 18.6 · 2021: 9.70 · +8.88 Central Federal… categories of farmsCentral Federal District — All categories of farms +8.88 Voronezh Region — all categories of farms · 2022: 25.9 · 2021: 17.4 · +8.54 Voronezh Region — all categories of farms +8.54 Rostov Region — all categories of farms · 2022: 87.2 · 2021: 80.6 · +6.60 Rostov Region — all categories of farms +6.60 Southern Federal District — All types of households · 2022: 38.6 · 2021: 32.8 · +5.78 Southern Federal… types of householdsSouthern Federal District — All types of households +5.78 Bryansk Region — all categories of farms · 2022: 13.5 · 2021: 8.80 · +4.70 Bryansk Region — all categories of farms +4.70 Belgorod Region — all categories of farms · 2022: 10.3 · 2021: 6.10 · +4.19 Belgorod Region — all categories of farms +4.19 Leningrad Region — All types of households · 2022: 18.7 · 2021: 16.3 · +2.41 Leningrad Region — All types of households +2.41 Volgograd Region — All categories of farms · 2022: 18.6 · 2021: 17.2 · +1.40 Volgograd Region — All categories of farms +1.40 Kaluga Region — all categories of farms · 2022: 12.6 · 2021: 12.1 · +0.50 Kaluga Region — all categories of farms +0.50 Republic of Kalmykia — households of all categories · 2022: 6.00 · 2021: 5.70 · +0.30 Republic of… of all categoriesRepublic of Kalmykia — households of all categories +0.30 Vologda Oblast — All categories of farms · 2022: 0.38 · 2021: 0.40 · −0.02 Vologda Oblast — All categories of farms −0.02 Sevastopol — All types of households · 2022: 28.0 · 2021: 28.6 · −0.62 Sevastopol — All types of households −0.62 Russian Federation — All categories of farms · 2022: 42.6 · 2021: 44.8 · −2.22 Russian Federation… categories of farmsRussian Federation — All categories of farms −2.22 Republic of Crimea — households of all categories · 2022: 26.3 · 2021: 28.7 · −2.38 Republic of… of all categoriesRepublic of Crimea — households of all categories −2.38 Tver Region — all categories of farms · 2022: 4.22 · 2021: 7.60 · −3.38 Tver Region — all categories of farms −3.38 Moscow Region — all categories of farms · 2022: 24.9 · 2021: 31.6 · −6.70 Moscow Region — all categories of farms −6.70 Northwestern Federal District — All categories of farms · 2022: 26.0 · 2021: 33.1 · −7.07 Northwestern… categories of farmsNorthwestern Federal District — All categories of farms −7.07 Kaliningrad region — All categories of farms · 2022: 30.9 · 2021: 39.7 · −8.81 Kaliningrad… categories of farmsKaliningrad region — All categories of farms −8.81 North Caucasian Federal District — all categories of farms · 2022: 52.4 · 2021: 66.7 · −14.3 North Caucasian… categories of farmsNorth Caucasian Federal District — all categories of farms −14.3 Republic of Adygea — All categories of farms · 2022: 21.4 · 2021: 46.0 · −24.6 Republic of… categories of farmsRepublic of Adygea — All categories of farms −24.6
how it will look

Set in numbers

Rosstat data for 2021–2022. Rows: 135, periods: 2. Shown by items: Russian Federation — All categories of farms; Central Federal District — All categories of farms; Belgorod Region — All categories of farms; Bryansk Region — All categories of farms; Voronezh Region — All categories of farms and others

Rostov Region — All categories of farms: the indicator increased from 80.6 to 87.2 for 2021–2022 — by 8.19%. Of the 25 largest rows, 15 increased, 10 decreased

All table numbers are series: 135
Series 20212022
Ставропольский край — Хозяйства населения — 57,93
Ставропольский край — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 2,50
Ставропольский край — Хозяйства всех категорий 65,90 57,87
Приволжский федеральный округ — Сельскохозяйственные организации — 41,00
Приволжский федеральный округ — Хозяйства населения — 24,56
Приволжский федеральный округ — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 3,75
Приволжский федеральный округ — Хозяйства всех категорий 24,10 24,51
Республика Марий Эл — Хозяйства населения — 31,71
Республика Марий Эл — Хозяйства всех категорий 19,40 31,71
Удмуртская Республика — Хозяйства населения — 14,09
Удмуртская Республика — Хозяйства всех категорий 16,80 14,09
Чувашская Республика - Чувашия — Хозяйства населения — 40,51
Чувашская Республика - Чувашия — Хозяйства всех категорий 37,10 40,51
Пермский край — Хозяйства населения — 7,67
Пермский край — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 3,75
Пермский край — Хозяйства всех категорий 15,00 7,59
Кировская область — Сельскохозяйственные организации — 41,00
Кировская область — Хозяйства населения — 11,56
Кировская область — Хозяйства всех категорий — 11,60
Нижегородская область — Хозяйства населения — 16,00
Нижегородская область — Хозяйства всех категорий 6,30 16,00
Пензенская область — Хозяйства населения — 10,00
Пензенская область — Хозяйства всех категорий 10,00 10,00
Самарская область — Хозяйства населения — 64,60
Самарская область — Хозяйства всех категорий 64,60 64,60
Саратовская область — Хозяйства населения — 31,61
Саратовская область — Хозяйства всех категорий 23,30 31,61
Уральский федеральный округ — Хозяйства населения — 25,27
Уральский федеральный округ — Хозяйства всех категорий 26,50 25,27
Челябинская область — Хозяйства населения — 25,27
Челябинская область — Хозяйства всех категорий 26,50 25,27
Сибирский федеральный округ — Хозяйства населения — 5,07
Сибирский федеральный округ — Хозяйства всех категорий 5,10 5,07
Омская область — Хозяйства населения — 5,07
Омская область — Хозяйства всех категорий 5,10 5,07

How to read this table

Comparing indicators by federal districts highlights the gap in production efficiency between the country's center and other regions. The list contains forty-seven rows, including the national total and data for the Central and Northwestern Federal Districts. Trends over the two-year period can be tracked across major administrative units

What is visible in these numbers

Five largest values: Rostov Region — All categories of farms (87.2), Astrakhan Region — All categories of farms (69.7), North Caucasian Federal District — All categories of farms (66.7), Kursk Region — All categories of farms (50), Republic of Adygea (Adygea) — All categories of farms (46). The gap between the largest and smallest is 218 times. The top five account for 41.2% of the total sum across all items

Annual observations; total periods: 2. 50 of 50 possible values 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

Data are published as part of agricultural bulletins. This information is relevant for agricultural specialists, economists, and crop production planners. Rosstat data reflect actual yields for the specified two-year period

How it is calculated

This year's harvest and livestock determine next year's purchase prices: processors need such rows earlier than supplier price lists