How production of sugar beet is distributed among farms of all types
Sugar beet production is distributed among various organizational and legal forms, from all farm categories to peasant and farm enterprises. Table rows vary by territorial coverage, including data for the Russian Federation, federal districts, and individual constituent entities, such as the Belgorod Region. Data is presented as a share, allowing for an assessment of the contribution of specific farm types to the total volume of crop cultivation
Chart of the share of sugar beet production by farm type
Set in numbers
Rosstat data. Rows: 30, indicators: 5. The breakdown is by the following positions: Russian Federation; Central Federal District; Belgorod Oblast; Voronezh Oblast; Kursk Oblast and others
The five largest values: Russian Federation (100), Central Federal District (100), Belgorod Oblast (100), Voronezh Oblast (100), Kursk Oblast (100). The top five account for 20% of the total for all positions
All table numbers are series: 30
| Series | Хозяйства всех категорий | Сельскохозяйственные организации | из них: малые предприятия | Хозяйства населения | Крестьянские (фермерские) хозяйства и индивидуальные предприниматели |
|---|---|---|---|---|---|
| Российская Федерация | 100,00 | 89,88 | 9,84 | 0,07 | 10,05 |
| Центральный федеральный округ | 100,00 | 93,86 | 6,42 | 0,11 | 6,03 |
| Белгородская область | 100,00 | 95,20 | 2,70 | 0,04 | 4,76 |
| Брянская область | 100,00 | 90,66 | — | — | 9,34 |
| Воронежская область | 100,00 | 90,93 | 5,39 | 0,48 | 8,59 |
| Курская область | 100,00 | 94,53 | 5,69 | 0,00 | 5,47 |
| Липецкая область | 100,00 | 92,13 | 2,64 | 0,00 | 7,86 |
| Орловская область | 100,00 | 99,66 | 6,47 | — | 0,34 |
| Рязанская область | 100,00 | 100,00 | 58,14 | — | — |
| Тамбовская область | 100,00 | 94,67 | 10,42 | — | 5,33 |
| Тульская область | 100,00 | 97,92 | 12,12 | — | 2,08 |
| Южный федеральный округ | 100,00 | 84,60 | 12,81 | 0,00 | 15,40 |
| Краснодарский край | 100,00 | 85,96 | 12,46 | 0,00 | 14,04 |
| Волгоградская область | 100,00 | 100,00 | — | — | — |
| Ростовская область | 100,00 | 70,30 | 16,87 | — | 29,70 |
| Северо-Кавказский федеральный округ | 100,00 | 86,43 | 11,85 | — | 13,57 |
| Карачаево-Черкесская Республика | 100,00 | 74,05 | 30,46 | — | 25,95 |
| Ставропольский край | 100,00 | 88,16 | 9,24 | — | 11,84 |
| Приволжский федеральный округ | 100,00 | 82,03 | 19,08 | 0,02 | 17,95 |
| Республика Башкортостан | 100,00 | 78,30 | 32,72 | — | 21,70 |
| Республика Мордовия | 100,00 | 94,61 | 17,70 | 0,07 | 5,32 |
| Республика Татарстан (Татарстан) | 100,00 | 82,32 | 14,38 | 0,04 | 17,64 |
| Чувашская Республика - Чувашия | 100,00 | 50,15 | 50,15 | 0,36 | 49,49 |
| Нижегородская область | 100,00 | 89,97 | 4,53 | 0,00 | 10,03 |
| Оренбургская область | 100,00 | 100,00 | 100,00 | — | — |
| Пензенская область | 100,00 | 85,65 | 5,39 | — | 14,35 |
| Саратовская область | 100,00 | 61,51 | 39,93 | — | 38,49 |
| Ульяновская область | 100,00 | 64,24 | 47,34 | — | 35,76 |
| Сибирский федеральный округ | 100,00 | 97,65 | 0,67 | — | 2,35 |
| Алтайский край | 100,00 | 97,65 | 0,67 | — | 2,35 |
How to read this table
Differences between rows allow for a comparison of the production structure at the national level and within specific constituent entities. It is possible to see the share of sugar beet cultivation held by large agro-holdings versus small farm enterprises or individual entrepreneurs. This helps to understand regional specialization and the extent of private farmers' participation in supplying raw materials to the sugar industry within a specific federal district or region
What is visible in these numbers
Table columns: Farms of all categories; Agricultural organizations; of which: small enterprises; Households; Peasant (farm) holdings and individual entrepreneurs
113 out of 125 cells contain numbers (90.4%). Small gaps remain where a position was not observed in all periods
The same indicator in other breakdowns (2)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
The statistical data is presented as a single cross-section without a specified time period. The information covers thirty rows with varying degrees of territorial breakdown. The data is relevant for agricultural sector specialists, agricultural market analysts, and sugar industry representatives studying the distribution structure of production capacities in Russia
How it is calculated
The harvest and livestock numbers of this year determine the purchase prices of the next: a processor needs such series earlier than a supplier's price list
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