Distribution of sugar beet sown areas in Russia
The structure of sugar beet sown area shows the share of different farm types in the total area planted with the crop. The table provides data for all farm categories, from the national level to specific regions. Shares are expressed as percentages, allowing for comparison of each farm type's contribution regardless of the absolute size of the sown area
Structure of sugar beet sown area by farm category in Russia
Set in numbers
Rosstat data. Series: 31, indicators: 5. Breakdown: Russian Federation; Central Federal District; Belgorod Oblast; Voronezh Oblast; Lipetsk Oblast and others
The five largest values: Russian Federation (100), Central Federal District (100), Belgorod Oblast (100), Voronezh Oblast (100), Lipetsk Oblast (100). The top five account for 20% of the total for all positions
All table numbers are series: 31
| Series | Хозяйства всех категорий | Сельскохозяйственные организации | из них: малые предприятия | Хозяйства населения | Крестьянские (фермерские) хозяйства и индивидуальные предприниматели |
|---|---|---|---|---|---|
| Российская Федерация | 100,00 | 90,57 | 9,28 | 0,04 | 9,39 |
| Центральный федеральный округ | 100,00 | 94,91 | 5,29 | 0,06 | 5,04 |
| Белгородская область | 100,00 | 96,75 | 0,61 | 0,06 | 3,19 |
| Брянская область | 100,00 | 90,51 | — | — | 9,49 |
| Воронежская область | 100,00 | 92,77 | 5,23 | 0,23 | 7,00 |
| Курская область | 100,00 | 95,74 | 5,45 | — | 4,26 |
| Липецкая область | 100,00 | 92,79 | 4,07 | 0,01 | 7,21 |
| Орловская область | 100,00 | 99,92 | 3,14 | — | 0,08 |
| Рязанская область | 100,00 | 100,00 | 8,67 | — | — |
| Тамбовская область | 100,00 | 94,93 | 8,68 | — | 5,07 |
| Тульская область | 100,00 | 98,51 | 26,90 | — | 1,49 |
| Южный федеральный округ | 100,00 | 83,66 | 12,10 | 0,00 | 16,34 |
| Республика Адыгея (Адыгея) | 100,00 | 100,00 | 100,00 | — | — |
| Краснодарский край (с учетом ФТ «Сириус») | 100,00 | 84,26 | 11,13 | 0,00 | 15,74 |
| Краснодарский край | 100,00 | 84,26 | 11,13 | 0,00 | 15,74 |
| Ростовская область | 100,00 | 76,91 | 19,81 | — | 23,09 |
| Северо-Кавказский федеральный округ | 100,00 | 84,99 | 13,17 | — | 15,01 |
| Карачаево-Черкесская Республика | 100,00 | 61,21 | 61,21 | — | 38,79 |
| Республика Северная Осетия - Алания | 100,00 | 100,00 | 100,00 | — | — |
| Ставропольский край | 100,00 | 87,07 | 8,56 | — | 12,93 |
| Приволжский федеральный округ | 100,00 | 86,63 | 17,42 | 0,02 | 13,34 |
| Республика Башкортостан | 100,00 | 92,52 | 34,39 | — | 7,48 |
| Республика Мордовия | 100,00 | 95,10 | 19,44 | 0,08 | 4,82 |
| Республика Татарстан (Татарстан) | 100,00 | 88,90 | 12,68 | 0,04 | 11,07 |
| Чувашская Республика - Чувашия | 100,00 | 29,99 | 29,99 | 1,42 | 68,59 |
| Нижегородская область | 100,00 | 87,21 | 4,65 | — | 12,79 |
| Пензенская область | 100,00 | 85,63 | 5,35 | — | 14,37 |
| Саратовская область | 100,00 | 70,59 | 26,29 | — | 29,41 |
| Ульяновская область | 100,00 | 56,87 | 56,87 | — | 43,13 |
| Сибирский федеральный округ | 100,00 | 100,00 | — | — | — |
| Алтайский край | 100,00 | 100,00 | — | — | — |
How to read this table
Table rows are categorized by farm type, ranging from "All farm categories" to "Peasant (farm) enterprises and individual entrepreneurs." Columns show the share of each category in the total sugar beet sown area. Note that the share of farm enterprises may vary significantly by region
What is visible in these numbers
Indicators in the set: Farms of all categories; Agricultural organizations; of which: small enterprises; Households; Peasant (farm) holdings and individual entrepreneurs
There are 112 values in the table out of 125 possible, which is 89.6%. Small gaps remain where the position was not observed in all periods
The same indicator in other breakdowns (1)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
Data are published without specific dates and are updated annually as statistics are collected. Information on area distribution is useful for agribusinesses, farmers, and regional authorities for resource use analysis and industry support planning
How it is calculated
Data on crops, yields, and livestock are used in planning raw material purchases, assessing harvests, and forecasting food prices
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