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RU

Marketability of sugar beet by all types of farms and farms

· snapshot · rows: 31 · periods: 4 · section: Bulletins on the state of agriculture (electronic versions)

The percentage of output that agricultural producers sell on the market rather than retaining for own consumption is shown for various farm types. Columns range from all farm categories to farmers and individual entrepreneurs. The data is presented as a single snapshot without specific years, allowing for an assessment of the current structure of product sales in the country

shown 25 largest of 31

Graph of sugar beet marketability by farm category and Russian regions

Nizhny Novgorod Region 116.6 Tula Region 115.7 Belgorod Region 112.8 Karachay-Cherkess Republic 106.8 Tambov Region 104.3 Central Federal District 103.8 Penza Oblast 103.6 Oryol Region 103.2 Voronezh Region 102.3 Kursk Region 101.8 North Caucasian Federal District 96.1 Stavropol Territory 94.8 Belgorod Region 93.6 Russian Federation 93.4 Bryansk Region 90.5 Ulyanovsk Region 89.3 Krasnodar Territory 86.5 Southern Federal District 85.2 Republic of Tatarstan (Tatarstan) 81.3 Republic of Mordovia 78.4 Volga Federal District 75.5 Rostov Region 66.7 Chuvash Republic - Chuvashia 54.1 Republic of Bashkortostan 47.0 Saratov Region 45.0
how it will look

Set in numbers

The table is a snapshot — 31 series shown across 4 breakdowns. 99 values in total.

The largest value belongs to “Kursk Region” — 97.2; the smallest is “Republic of Bashkortostan” at 41.6.

All table numbers are series: 31
Series Хозяйства всех категорийСельскохозяйственные организацииХозяйства населенияКрестьянские (фермерские) хозяйства и индивидуальные предприниматели
Российская Федерация 93,40 95,21 98,86 79,69
Центральный федеральный округ 103,80 104,54 99,60 93,20
Белгородская область 93,56 94,98 93,80 68,26
Брянская область 90,53 90,60 — 90,08
Воронежская область 102,28 102,79 100,00 96,95
Курская область 101,75 102,06 — 97,24
Липецкая область 112,75 114,81 95,00 93,06
Орловская область 103,21 103,26 — 94,36
Рязанская область 100,00 100,00 — —
Тамбовская область 104,28 104,86 — 94,91
Тульская область 115,66 116,22 — 93,43
Южный федеральный округ 85,21 85,79 100,00 82,69
Республика Адыгея (Адыгея) 95,99 95,99 — —
Краснодарский край 86,45 86,99 100,00 83,91
Ростовская область 66,71 61,86 — 75,08
Северо-Кавказский федеральный округ 96,09 98,05 — 85,64
Кабардино-Балкарская Республика 100,00 100,00 — —
Карачаево-Черкесская Республика 106,80 124,74 — 73,19
Ставропольский край 94,75 95,55 — 89,62
Приволжский федеральный округ 75,49 77,68 86,13 66,08
Республика Башкортостан 46,98 48,37 — 41,64
Республика Мордовия 78,44 78,06 80,11 88,94
Республика Татарстан (Татарстан) 81,26 79,13 90,00 92,27
Чувашская Республика - Чувашия 54,08 43,41 94,84 58,17
Нижегородская область 116,61 119,80 95,45 88,03
Оренбургская область 21,56 21,56 — —
Пензенская область 103,57 109,39 — 76,38
Саратовская область 45,04 45,04 — 45,02
Ульяновская область 89,29 92,73 — 83,03
Сибирский федеральный округ 92,39 92,39 — —
Алтайский край 92,39 92,39 — —

How to read this table

Rows are categorized by territory: indicators are provided for the Russian Federation as a whole, federal districts, and individual oblasts. Comparing these rows helps to understand how marketability levels in a specific region, such as the Belgorod Oblast, differ from national averages. This allows for a comparison of the efficiency of farmers and large organizations across different parts of the country

What is visible in these numbers

The table is 87% filled: Rosstat does not publish every cell, and the gaps are left as they are rather than interpolated.

The same indicator in other breakdowns (3)

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

Period and application

The statistics are compiled as part of agricultural status bulletins. The information is relevant for assessing the commercial potential of the agribusiness sector and analyzing the performance of peasant and farm holdings. The data is useful for agronomists, investors, and retail chain representatives for raw material procurement planning