Continuation
The number of specialized machinery units in the agricultural sector allows for an assessment of the technical equipment of farms nationwide. The accounting covers key types of machines, including grain combine harvesters and beet harvesters excluding top-lifting units. The indicator records the actual number of machines available to agricultural producers for key harvest stages. The total fleet in the Russian Federation includes 1217 grain combine harvesters and 45 beet harvesters
Number of grain and beet harvesters by federal district of the Russian Federation
Set in numbers
Rosstat data. Rows: 57, indicators: 7. Shown by positions: Russian Federation; Central Federal District; Volga Federal District; Southern Federal District; North Caucasian Federal District and others
Five largest values: Russian Federation (1 217), Volga Federal District (369), Southern Federal District (225), Central Federal District (218), Siberian Federal District (183). The gap between the largest and smallest is 173.9 times. The top five account for 76.4% of the sum for all positions — the distribution is heavily skewed toward the top
All table numbers are series: 57
| Series | Комбайны: — зерноуборочные | Комбайны: — кукурузоуборочные | Комбайны: — кормоуборочные | Комбайны: — льноуборочные | Комбайны: — картофелеуборочные | Жатки валковые | Свеклоуборочные машины (без ботвоуборочных) |
|---|---|---|---|---|---|---|---|
| Российская Федерация | 1 217,00 | 22,00 | 332,00 | 15,00 | 54,00 | 568,00 | 45,00 |
| Центральный федеральный округ | 218,00 | — | 75,00 | 6,00 | 15,00 | 95,00 | 21,00 |
| Белгородская область | 5,00 | — | 5,00 | — | — | — | — |
| Брянская область | 25,00 | — | 4,00 | — | — | — | — |
| Владимирская область | 8,00 | — | 6,00 | — | — | — | — |
| Воронежская область | 7,00 | — | 11,00 | — | — | 17,00 | 3,00 |
| Ивановская область | 4,00 | — | — | — | — | — | — |
| Курская область | 21,00 | — | 7,00 | — | — | — | — |
| Липецкая область | 16,00 | — | 3,00 | — | — | 13,00 | — |
| Московская область | 7,00 | — | 12,00 | — | 6,00 | 4,00 | — |
| Орловская область | 46,00 | — | 3,00 | — | — | — | — |
| Рязанская область | 14,00 | — | 3,00 | — | — | 21,00 | — |
| Смоленская область | 5,00 | — | — | — | — | — | — |
| Тамбовская область | 26,00 | — | — | — | — | 14,00 | 5,00 |
| Тверская область | 7,00 | — | 4,00 | — | — | 4,00 | — |
| Тульская область | 15,00 | — | — | — | — | — | — |
| Ярославская область | 4,00 | — | 5,00 | — | — | — | — |
| Северо-Западный федеральный округ | 14,00 | — | 21,00 | — | — | 10,00 | — |
| Вологодская область | 9,00 | — | 6,00 | — | — | 5,00 | — |
| Новгородская область | — | — | 3,00 | — | — | — | — |
| Южный федеральный округ | 225,00 | 7,00 | 16,00 | — | — | 131,00 | 12,00 |
| Краснодарский край | 106,00 | — | 10,00 | — | — | 25,00 | — |
| Волгоградская область | 32,00 | — | — | — | — | 28,00 | — |
| Ростовская область | 71,00 | — | — | — | — | 71,00 | — |
| Северо-Кавказский федеральный округ | 92,00 | 7,00 | 4,00 | — | — | 10,00 | 4,00 |
| Республика Ингушетия | 8,00 | — | — | — | — | — | — |
| Ставропольский край | 79,00 | — | — | — | — | — | 4,00 |
| Приволжский федеральный округ | 369,00 | 5,00 | 135,00 | — | 17,00 | 197,00 | 7,00 |
| Республика Башкортостан | 27,00 | — | 14,00 | — | — | 25,00 | 3,00 |
| Республика Мордовия | 23,00 | — | — | — | — | — | — |
| Республика Татарстан | 51,00 | — | 21,00 | — | — | 4,00 | — |
| Удмуртская Республика | 33,00 | — | 18,00 | — | 8,00 | 13,00 | — |
| Чувашская Республика | 7,00 | — | 5,00 | — | — | 3,00 | — |
| Пермский край | 9,00 | — | 12,00 | — | — | — | — |
| Кировская область | 16,00 | — | 9,00 | — | — | — | — |
| Нижегородская область | 11,00 | — | 10,00 | — | 3,00 | — | — |
| Оренбургская область | 78,00 | — | 24,00 | — | — | 53,00 | — |
| Пензенская область | — | — | 3,00 | — | — | 5,00 | — |
| Самарская область | 32,00 | — | 9,00 | — | — | 41,00 | — |
| Саратовская область | 49,00 | — | — | — | — | 37,00 | — |
| Ульяновская область | 18,00 | — | 4,00 | — | — | 5,00 | — |
| Уральский федеральный округ | 48,00 | — | 27,00 | — | 9,00 | 18,00 | — |
| Курганская область | 10,00 | — | — | — | — | 9,00 | — |
| Свердловская область | 16,00 | — | 18,00 | — | — | — | — |
| Тюменская область | 12,00 | — | 4,00 | — | — | — | — |
| Тюменская область (без автономных округов) | 12,00 | — | 4,00 | — | — | — | — |
| Челябинская область | 10,00 | — | — | — | — | 6,00 | — |
| Сибирский федеральный округ | 183,00 | — | 50,00 | — | 3,00 | 78,00 | — |
| Алтайский край | 44,00 | — | 12,00 | — | — | 25,00 | — |
| Красноярский край | 32,00 | — | 10,00 | — | — | 16,00 | — |
| Иркутская область | 10,00 | — | 6,00 | — | — | — | — |
| Новосибирская область | 62,00 | — | 11,00 | — | — | 19,00 | — |
| Омская область | 27,00 | — | 5,00 | — | — | 11,00 | — |
| Дальневосточный федеральный округ | 68,00 | — | 4,00 | — | — | 29,00 | — |
| Забайкальский край | — | — | — | — | — | 12,00 | — |
| Приморский край | 13,00 | — | — | — | — | — | — |
| Амурская область | 32,00 | — | 4,00 | — | — | 7,00 | — |
How to read this table
The distribution of machines is presented for 57 entities, including data for the Russian Federation, the Central Federal District, and the Volga Federal District. Comparing regional data helps identify territorial specialization based on the type of machinery used. A snapshot of the machinery fleet is available for analysis, reflecting the technical capabilities of farms in different parts of the country. Differences between rows are due to administrative-territorial divisions, allowing for a comparison of mechanization levels across districts
What is visible in these numbers
What is measured: Combines: — grain harvesters; Combines: — maize harvesters; Combines: — forage harvesters; Combines: — flax harvesters; Combines: — potato harvesters; Windrowers; Beet harvesters (excluding haulm harvesters)
95 out of 175 possible values are filled (54.3%). There are many omissions — some positions were observed only in certain periods; this should be taken into account when comparing
The same indicator in other breakdowns (47)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
The information is presented as a one-time snapshot without time periods. Data from agricultural status bulletins can be useful for agribusiness specialists, analysts, and representatives of industry departments for planning machinery procurement. Statistics help assess the current availability of necessary equipment for agricultural producers to carry out harvesting work and develop the production base at the regional level
How it is calculated
The harvest and livestock population 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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