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Structure of reindeer livestock by category of farms, 2021

· snapshot · rows: 36 · periods: 4 · section: Bulletins on the state of agriculture (electronic versions)

At the end of 2021, the reindeer population was distributed across various farm types, and these proportions are reflected in the statistics. Table rows represent the Russian Federation and individual regions, such as Lipetsk and Ryazan Oblasts. Columns show the share of animals by ownership type, ranging from the total across all categories to peasant and farm holdings

shown 25 largest of 36

Distribution of reindeer population by farm category at the end of 2021

Russian Federation 100.0 Belgorod Region 100.0 Ryazan Region 100.0 Northwestern Federal District 100.0 Republic of Komi 100.0 Arkhangelsk Region 100.0 including Nenets Autonomous Okrug 100.0 Arkhangelsk… Autonomous Okrug)Arkhangelsk Region (excluding Autonomous Okrug) 100.0 Murmansk Region 100.0 Ural Federal District 100.0 Tyumen Oblast 100.0 в т.ч. Ханты-Манси… автономный округ - Юграв т.ч. Ханты-Мансийский автономный округ - Югра 100.0 Yamalo-Nenets Autonomous Okrug 100.0 Siberian Federal District 100.0 Krasnoyarsk Territory 100.0 Far Eastern Federal District 100.0 Republic of Sakha (Yakutia) 100.0 Khabarovsk Territory 100.0 Chukotka Autonomous Okrug 100.0 Central Federal District 100.0 Republic of Tyva 100.0 Republic of Buryatia 100.0 Zabaykalsky Territory 100.0 Kamchatka Territory 100.0 Amur Region 100.0
how it will look

Set in numbers

36 series, arranged across 4 breakdowns rather than over time. 117 values in total.

“Belgorod Region” leads the table with 1,000 million, “Murmansk Region” closes it with 0.044. The gap between them is 22.73 billion-fold.

All table numbers are series: 36
Series Хозяйства всех категорийСельскохозяйственные организацииХозяйства населенияКрестьянские (фермерские) хозяйства и индивидуальные предприниматели
Российская федерация 100,00 55,37 35,99 8,64
Центральный федеральный округ 100,00 97,78 2,22 —
Владимирская область 100,00 999 999 999,00 — —
Липецкая область 100,00 999 999 999,00 999 999 999,00 999 999 999,00
Рязанская область 100,00 999 999 999,00 999 999 999,00 999 999 999,00
Тверская область 100,00 — 100,00 —
Северо-западный федеральный округ 100,00 73,58 15,80 10,61
Республика Коми 100,00 69,06 26,84 4,10
Архангельская область 100,00 69,22 13,42 17,36
в т.ч. Ненецкий автономный округ 100,00 69,41 13,40 17,20
Архангельская область (без автономного округа) 100,00 49,33 15,77 34,90
Ленинградская область 100,00 — — 100,00
Мурманская область 100,00 93,48 6,48 0,04
Псковская область 100,00 — — 100,00
Приволжский федеральный округ 100,00 — — 100,00
Самарская область 100,00 — — 100,00
Уральский федеральный округ 100,00 29,92 65,81 4,28
Тюменская область 100,00 29,92 65,81 4,28
в т.ч. Ханты-Мансийский автономный округ - Югра 100,00 54,26 39,46 6,28
Ямало-Ненецкий автономный округ 100,00 28,56 67,28 4,17
Тюменская область (без автономных округов) 100,00 — — 100,00
Сибирский федеральный округ 100,00 49,98 1,07 48,95
Республика Тыва 100,00 98,43 — 1,57
Красноярский край 100,00 49,41 0,52 50,07
Иркутская область 100,00 — 100,00 —
Омская область 100,00 — 100,00 —
Дальневосточный федеральный округ 100,00 94,77 3,23 2,00
Республика Бурятия 100,00 999 999 999,00 — 51,75
Республика Саха (Якутия) 100,00 93,72 2,95 3,33
Забайкальский край 100,00 98,07 1,93 —
Камчатский край 100,00 98,52 1,49 —
Хабаровский край 100,00 55,30 44,57 0,13
Амурская область 100,00 88,30 11,70 —
Магаданская область 100,00 999 999 999,00 — 15,05
Сахалинская область 100,00 — 100,00 —
Чукотский автономный округ 100,00 97,04 2,68 0,28

How to read this table

Indicators can be compared by regional rows to observe differences in farm specialization. For instance, one can track the share of the national population accounted for by farmers or individual entrepreneurs in a specific region. Column data enables assessment of reindeer husbandry concentration across various organizational forms, including the private sector and large enterprises

What is visible in these numbers

Only 94% of the cells carry a value — empty cells are missing in the source publication and are not filled in here.

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

Period and application

Data were collected at the end of 2021 and reflect the industry structure at that time. Information from agricultural bulletins will be useful for agro-industrial specialists, economists, and livestock researchers analyzing resource distribution