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RU

Share of sugar beet production by households

· snapshot · rows: 31 · periods: 5 · section: Bulletins on the state of agriculture (electronic versions)

Sugar beet production is distributed by percentage among various legal forms of holdings, ranging from all categories to farmers and individual entrepreneurs. Rows include indicators for the Russian Federation, federal districts, and individual constituent entities, with thirty-one rows in total. This cross-section allows for a comparison of the crop cultivation structure across different types of farms at the current time

shown 25 largest of 31

Share of sugar beet production by farm type in Russia

Russian Federation 100.0 Central Federal District 100.0 Belgorod Region 100.0 Voronezh Region 100.0 Kursk Region 100.0 Belgorod Region 100.0 Southern Federal District 100.0 Krasnodar Territory 100.0 Volga Federal District 100.0 Republic of Mordovia 100.0 Republic of Tatarstan (Tatarstan) 100.0 Chuvash Republic - Chuvashia 100.0 Nizhny Novgorod Region 100.0 Oryol Region 100.0 Tambov Region 100.0 Tula Region 100.0 Rostov Region 100.0 North Caucasian Federal District 100.0 Karachay-Cherkess Republic 100.0 Stavropol Territory 100.0 Republic of Bashkortostan 100.0 Penza Oblast 100.0 Saratov Region 100.0 Ulyanovsk Region 100.0 Siberian Federal District 100.0
how it will look

Set in numbers

This is a cross-section: 31 series across 5 breakdowns. 130 values in total.

“Karachay-Cherkess Republic” leads the table with 40, “Oryol Region” closes it with 0.263. The gap between them is 152-fold.

All table numbers are series: 31
Series Хозяйства всех категорийСельскохозяйственные организациииз них: малые предприятияХозяйства населенияКрестьянские (фермерские) хозяйства и индивидуальные предприниматели
Российская Федерация 100,00 91,25 9,47 0,08 8,67
Центральный федеральный округ 100,00 95,06 6,24 0,15 4,79
Белгородская область 100,00 95,84 2,51 0,04 4,11
Брянская область 100,00 91,23 — — 8,77
Воронежская область 100,00 93,44 4,75 0,60 5,97
Курская область 100,00 95,71 5,36 0,00 4,29
Липецкая область 100,00 93,38 2,87 0,04 6,58
Орловская область 100,00 99,74 5,71 — 0,26
Рязанская область 100,00 100,00 67,81 — —
Тамбовская область 100,00 95,71 11,07 — 4,29
Тульская область 100,00 95,80 10,92 — 4,20
Южный федеральный округ 100,00 86,98 12,66 0,00 13,02
Краснодарский край 100,00 88,41 12,41 0,00 11,59
Волгоградская область 100,00 100,00 — — —
Ростовская область 100,00 68,64 16,38 — 31,36
Северо-Кавказский федеральный округ 100,00 86,24 10,28 — 13,76
Республика Ингушетия 100,00 — — — 100,00
Карачаево-Черкесская Республика 100,00 59,98 26,37 — 40,02
Ставропольский край 100,00 89,12 8,53 — 10,88
Приволжский федеральный округ 100,00 85,19 16,72 0,02 14,79
Республика Башкортостан 100,00 77,18 28,20 — 22,82
Республика Мордовия 100,00 94,83 16,90 0,09 5,07
Республика Татарстан (Татарстан) 100,00 88,05 12,44 0,04 11,91
Чувашская Республика - Чувашия 100,00 62,35 62,35 0,41 37,24
Нижегородская область 100,00 86,58 7,37 0,00 13,42
Оренбургская область 100,00 100,00 100,00 — —
Пензенская область 100,00 90,87 3,08 — 9,13
Саратовская область 100,00 61,69 41,12 — 38,31
Ульяновская область 100,00 68,95 50,82 — 31,05
Сибирский федеральный округ 100,00 97,78 0,95 — 2,22
Алтайский край 100,00 97,78 0,95 — 2,22

How to read this table

The vertical axis presents various territorial levels, from the national scale to specific regions, such as Belgorod Oblast. The horizontal axis displays columns by farm type, enabling a comparison of the contribution of large agricultural holdings and small farms to the total sugar beet harvest. Comparing these groups helps identify the specialization of the economic structure within a specific federal district or region

What is visible in these numbers

Only 90% of the cells carry a value — empty cells are missing in the source publication and are not filled in here.

The same indicator in other breakdowns (1)

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

Period and application

The statistics are compiled from agricultural bulletins and presented as a single cross-section without time-series data. This information is useful for agronomists, economists, and anyone analyzing the structure of agricultural production in Russia. Data is updated according to the publication schedule of official Rosstat bulletins