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Reindeer population by regions of Russia

at year-end; in all types of farms; thousand heads

· dynamics annual · rows: 42 · periods: 6 · section: Agriculture (в России)

From 2015 to 2022, the number of reindeer in all categories of holdings is recorded in thousands of head at year-end. The list presents data for the entire Russian Federation and two federal districts: Central and Northwestern. This allows for comparing the national situation with the indicators of specific regions and observing differences in population scale

shown 25 largest of 42
0 500 1,000 1,500 2,000 2015 2018 2019 2020 2021 2022
how it will look

Chart of reindeer population by federal districts of Russia, 2015–2022, thousands of head

Russian Federation Central Federal District Northwestern Federal District Republic of Komi Arkhangelsk Region Arkhangelsk Oblast — Nenets A…Arkhangelsk Oblast — Nenets Autonomous Okrug Arkhangelsk Oblast without au…Arkhangelsk Oblast without autonomous okrug Murmansk Region Ural Federal District Tyumen Oblast Tyumen Oblast — Khanty-Mansi …Tyumen Oblast — Khanty-Mansi Autonomous Okrug – Yugra Tyumen Region — Yamalo-Nenets…Tyumen Region — Yamalo-Nenets Autonomous Okrug 2015 2022

Who grew, who fell: 2015 → 2022

unchanged Northwestern Federal District · 2022: 328.2 at year-end; in all types of farms; thousand heads · 2015: 311.1 · +17.1 Northwestern Federal District +17.1 Arkhangelsk Region · 2022: 179.0 at year-end; in all types of farms; thousand heads · 2015: 163.7 · +15.3 Arkhangelsk Region +15.3 Arkhangelsk Oblast — Nenets Autonomous Okrug · 2022: 177.3 at year-end; in all types of farms; thousand heads · 2015: 162.1 · +15.2 Arkhangelsk… Autonomous OkrugArkhangelsk Oblast — Nenets Autonomous Okrug +15.2 Republic of Sakha (Yakutia) · 2022: 168.5 at year-end; in all types of farms; thousand heads · 2015: 156.0 · +12.5 Republic of Sakha (Yakutia) +12.5 Krasnoyarsk Territory · 2022: 124.9 at year-end; in all types of farms; thousand heads · 2015: 116.3 · +8.63 Krasnoyarsk Territory +8.63 Siberian Federal District · 2022: 127.0 at year-end; in all types of farms; thousand heads · 2015: 120.7 · +6.36 Siberian Federal District +6.36 Zabaykalsky Territory · 2022: 4.32 at year-end; in all types of farms; thousand heads · 2015: 2.96 · +1.36 Zabaykalsky Territory +1.36 Murmansk Region · 2022: 57.1 at year-end; in all types of farms; thousand heads · 2015: 56.2 · +0.91 Murmansk Region +0.91 Republic of Komi · 2022: 92.0 at year-end; in all types of farms; thousand heads · 2015: 91.1 · +0.90 Republic of Komi +0.90 Central Federal District · 2022: 0.36 at year-end; in all types of farms; thousand heads · 2015: 0.06 · +0.30 Central Federal District +0.30 Republic of Buryatia · 2022: 0.72 at year-end; in all types of farms; thousand heads · 2015: 0.58 · +0.14 Republic of Buryatia +0.14 Arkhangelsk Oblast without autonomous okrug · 2022: 1.70 at year-end; in all types of farms; thousand heads · 2015: 1.60 · +0.10 Arkhangelsk… autonomous okrugArkhangelsk Oblast without autonomous okrug +0.10 Amur Region · 2022: 6.12 at year-end; in all types of farms; thousand heads · 2015: 6.11 · +0.01 Amur Region +0.01 Omsk Region · 2022: 0.01 at year-end; in all types of farms; thousand heads · 2015: 0.00 · +0.01 Omsk Region +0.01 Irkutsk Region · 2022: 0.64 at year-end; in all types of farms; thousand heads · 2015: 0.94 · −0.30 Irkutsk Region −0.30 Khabarovsk Territory · 2022: 3.45 at year-end; in all types of farms; thousand heads · 2015: 4.12 · −0.67 Khabarovsk Territory −0.67 Kamchatka Territory · 2022: 44.5 at year-end; in all types of farms; thousand heads · 2015: 46.2 · −1.70 Kamchatka Territory −1.70 Republic of Tyva · 2022: 1.44 at year-end; in all types of farms; thousand heads · 2015: 3.42 · −1.98 Republic of Tyva −1.98 Tyumen Oblast — Khanty-Mansi Autonomous Okrug – Yugra · 2022: 40.3 at year-end; in all types of farms; thousand heads · 2015: 47.0 · −6.73 Tyumen Oblast… Okrug – YugraTyumen Oblast — Khanty-Mansi Autonomous Okrug – Yugra −6.73 Magadan Oblast · 2022: 6.31 at year-end; in all types of farms; thousand heads · 2015: 14.4 · −8.12 Magadan Oblast −8.12 Far Eastern Federal District · 2022: 360.1 at year-end; in all types of farms; thousand heads · 2015: 386.6 · −26.5 Far Eastern Federal District −26.5 Tyumen Region — Yamalo-Nenets Autonomous Okrug · 2022: 775.9 at year-end; in all types of farms; thousand heads · 2015: 899.0 · −123.1 Tyumen Region… Autonomous OkrugTyumen Region — Yamalo-Nenets Autonomous Okrug −123.1 Ural Federal District · 2022: 816.2 at year-end; in all types of farms; thousand heads · 2015: 946.0 · −129.8 Ural Federal District −129.8 Tyumen Oblast · 2022: 816.2 at year-end; in all types of farms; thousand heads · 2015: 946.0 · −129.8 Tyumen Oblast −129.8 Russian Federation · 2022: 1,632 at year-end; in all types of farms; thousand heads · 2015: 1,764 · −132.4 Russian Federation −132.4

See also

Set in numbers

Rosstat data for 2015–2022. Series: 42, periods: 6. Measurement unit — at year-end; in all categories of farms; thousand head. Breakdown by positions: Russian Federation; Central Federal District; Northwestern Federal District; Komi Republic; Arkhangelsk Region and others

Russian Federation: indicator decreased from 1,764 to 1,632 over 2015–2022 — by 7.5%. Highest value — 1,780 (2018), lowest — 1,570 (2021). This is an average annual decrease of 1.11%. Up to 2020 the change was −6.49%, after — −1.08%. Of the 25 largest series, 14 increased, 11 decreased

All table numbers are series: 42
Series 201520182019202020212022
Российская Федерация 1 764,45 1 779,90 1 734,40 1 649,90 1 569,80 1 632,07
Центральный федеральный округ 0,06 0,00 0,01 0,27 0,27 0,36
Белгородская область 0,05 — — — — —
Владимирская область — — — — 0,26 0,35
Липецкая область 0,00 0,00 — — 0,00 0,00
Тверская область — — — 0,00 0,00 0,00
Ярославская область — 0,00 — — — 0,00
Северо-Западный федеральный округ 311,05 335,28 326,51 322,14 324,01 328,16
Республика Карелия — 0,02 — — — —
Республика Коми 91,08 95,88 93,02 92,71 87,98 91,98
Архангельская область 163,73 181,15 175,15 170,72 177,16 179,02
Архангельская область — Ненецкий автономный округ 162,13 179,56 173,47 169,02 175,52 177,32
Архангельская область без автономного округа 1,60 1,58 1,68 1,70 1,64 1,70
Вологодская область — — — 0,00 — —
Ленинградская область — — — — 0,01 0,01
Мурманская область 56,24 58,23 58,34 58,71 58,87 57,15
Псковская область — — — — 0,00 0,00
Приволжский федеральный округ 0,00 0,01 — 0,14 0,01 0,20
Республика Башкортостан 0,00 0,00 — — — —
Нижегородская область — 0,01 — — — —
Оренбургская область — — — — — 0,01
Самарская область — — — 0,14 0,01 0,19
Уральский федеральный округ 946,00 957,42 925,31 847,08 760,93 816,20
Тюменская область 946,03 957,42 925,31 847,08 760,93 816,20
Тюменская область — Ханты-Мансийский автономный округ – Югра 47,04 51,70 48,92 41,83 40,28 40,31
Тюменская область — Ямало-Ненецкий автономный округ 898,99 905,65 876,31 805,14 720,65 775,89
Тюменская область без автономных округов — 0,07 0,08 0,10 0,00 —
Сибирский федеральный округ 120,68 132,67 130,30 125,56 125,78 127,04
Республика Тыва 3,42 1,53 1,83 2,15 2,17 1,44
Красноярский край 116,32 130,46 127,84 122,70 122,90 124,95
Иркутская область 0,94 0,67 0,61 0,70 0,70 0,64
Омская область 0,00 0,01 0,02 0,02 0,01 0,01
Дальневосточный федеральный округ 386,63 354,53 352,29 354,70 358,79 360,11
Республика Бурятия 0,58 0,78 0,81 0,97 0,83 0,72
Республика Саха (Якутия) 156,01 146,59 152,07 157,40 162,10 168,52
Забайкальский край 2,96 3,95 4,06 4,35 4,52 4,32
Камчатский край 46,19 42,00 43,91 48,56 46,06 44,49
Хабаровский край 4,12 4,68 4,67 4,41 3,76 3,45
Амурская область 6,11 6,72 7,09 6,86 6,93 6,12
Магаданская область 14,43 7,67 7,15 6,93 6,53 6,31
Сахалинская область 0,10 0,12 0,10 0,10 0,11 0,11
Чукотский автономный округ 156,14 142,03 132,42 125,20 127,95 126,08

How to read this table

Table rows are categorized by territory to allow comparison of national figures with the results of individual federal districts. These rows show the contribution of the Northwestern and Central districts to the total population. All values are expressed in thousands of head, facilitating the assessment of large herds across different types of agricultural holdings

What is visible in these numbers

Five highest values: Russian Federation (1,780), Ural Federal District (957.4), Tyumen Region (957.4), Tyumen Region — Yamalo-Nenets Autonomous Okrug (905.6), Far Eastern Federal District (386.6). Gap between highest and lowest — by a factor of 118,660. The top five account for 77.8% of the total across all positions — distribution is heavily skewed toward the top

Observations are annual; total periods 6. 150 of 150 possible values filled (100%); data gaps are virtually absent

The same indicator for other periods

More in the section Agriculture»

Period and application

The statistics cover an eight-year period and are relevant for analyzing the livestock sector. Data is published annually and is suitable for agricultural specialists, ecologists, and researchers of northern region development. Information on all categories of holdings provides a broad overview of population distribution

How it is calculated

Rosstat notes: Data are not published to ensure confidentiality of primary statistical data obtained from organizations and individual entrepreneurs, in accordance with Federal Law No. 282-FZ of 29.11.2007. Including Saint Petersburg

1) Данные не публикуются в целях обеспечения конфиденциальности первичных статистичеcких данных, полученных от организаций и индивидуальных предпринимателей, в соответствии с Федеральным законом от 29.11.2007 No 282-ФЗ "Об официальном статистическом учете и системе государственной статистики в Российской Федерации" (п.5 ст.4, ч.1 ст.9).

2) Включая г. Санкт-Петербург.