Number of new domestic agricultural machinery purchased in Russia and by region
During the year, agricultural enterprises in the country purchased new domestically produced agricultural machinery across various categories. Rows include the Russian Federation and federal districts, enabling comparison of procurement volumes nationwide and by individual districts. Columns provide data on specific machine types, ranging from combine harvesters to windrowers
Table showing the quantity of new domestic agricultural machinery purchased by region and machine type
Set in numbers
Rosstat data. Series: 61, indicators: 7. Shown by items: Russian Federation; Southern Federal District; Volga Federal District; Central Federal District; Bryansk Oblast and others
Five largest values: Russian Federation (1 538), Volga Federal District (450), Central Federal District (335), Southern Federal District (276), Siberian Federal District (238). The gap between the largest and the smallest is 219.7 times. The top five account for 82.7% of the total for all items — the distribution is heavily skewed towards the top
All table numbers are series: 61
| Series | Комбайны: — зерноуборочные | Комбайны: — кукурузоуборочные | Комбайны: — кормоуборочные | Комбайны: — льноуборочные | Комбайны: — картофелеуборочные | Свеклоуборочные машины (без ботвоуборочных) | Жатки валковые |
|---|---|---|---|---|---|---|---|
| Российская Федерация | 1 538,00 | 10,00 | 202,00 | — | 15,00 | 12,00 | 709,00 |
| Центральный федеральный округ | 335,00 | — | 45,00 | — | — | 8,00 | 126,00 |
| Белгородская область | 25,00 | — | — | — | — | — | 12,00 |
| Брянская область | 9,00 | — | 3,00 | — | — | — | 6,00 |
| Владимирская область | 7,00 | — | — | — | — | — | — |
| Воронежская область | 33,00 | — | 4,00 | — | — | — | 22,00 |
| Ивановская область | 6,00 | — | 3,00 | — | — | — | — |
| Калужская область | — | — | 6,00 | — | — | — | — |
| Костромская область | — | — | 3,00 | — | — | — | — |
| Курская область | 48,00 | — | — | — | — | — | 11,00 |
| Липецкая область | 42,00 | — | — | — | — | — | 4,00 |
| Московская область | 9,00 | — | 5,00 | — | — | — | 4,00 |
| Орловская область | 37,00 | — | — | — | — | — | — |
| Рязанская область | 24,00 | — | — | — | — | — | 11,00 |
| Смоленская область | 16,00 | — | — | — | — | — | — |
| Тамбовская область | 36,00 | — | — | — | — | — | 17,00 |
| Тверская область | — | — | 4,00 | — | — | — | 14,00 |
| Тульская область | 16,00 | — | — | — | — | — | 4,00 |
| Ярославская область | 11,00 | — | 3,00 | — | — | — | — |
| Северо-Западный федеральный округ | 12,00 | — | 16,00 | — | — | — | 11,00 |
| Вологодская область | 7,00 | — | 5,00 | — | — | — | 4,00 |
| Ленинградская область | — | — | 6,00 | — | — | — | — |
| Южный федеральный округ | 276,00 | — | 7,00 | — | 6,00 | 4,00 | 98,00 |
| Республика Калмыкия | 8,00 | — | — | — | — | — | — |
| Республика Крым | 13,00 | — | — | — | — | — | — |
| Краснодарский край | 84,00 | — | — | — | — | — | — |
| Волгоградская область | 40,00 | — | 4,00 | — | — | — | 30,00 |
| Ростовская область | 128,00 | — | — | — | — | — | 48,00 |
| Северо-Кавказский федеральный округ | 98,00 | — | — | — | — | — | 12,00 |
| Ставропольский край | 95,00 | — | — | — | — | — | 12,00 |
| Приволжский федеральный округ | 450,00 | 6,00 | 96,00 | — | 4,00 | — | 240,00 |
| Республика Башкортостан | 55,00 | — | 8,00 | — | — | — | 11,00 |
| Республика Марий Эл | 10,00 | — | — | — | — | — | — |
| Республика Мордовия | 38,00 | — | — | — | — | — | — |
| Республика Татарстан (Татарстан) | 64,00 | — | 4,00 | — | — | — | 50,00 |
| Удмуртская Республика | 21,00 | — | 17,00 | — | — | — | 15,00 |
| Чувашская Республика - Чувашия | 12,00 | — | 9,00 | — | — | — | 4,00 |
| Пермский край | 8,00 | — | 8,00 | — | — | — | 4,00 |
| Кировская область | 27,00 | — | 13,00 | — | — | — | 15,00 |
| Нижегородская область | 23,00 | — | 15,00 | — | — | — | 19,00 |
| Оренбургская область | 59,00 | — | — | — | — | — | 20,00 |
| Пензенская область | 19,00 | — | — | — | — | — | 5,00 |
| Самарская область | 56,00 | — | — | — | — | — | 38,00 |
| Саратовская область | 46,00 | — | 4,00 | — | — | — | 39,00 |
| Ульяновская область | 12,00 | — | — | — | — | — | 15,00 |
| Уральский федеральный округ | 81,00 | — | 8,00 | — | — | — | 45,00 |
| Курганская область | 22,00 | — | — | — | — | — | 21,00 |
| Свердловская область | 6,00 | — | — | — | — | — | 3,00 |
| Тюменская область | 37,00 | — | — | — | — | — | 10,00 |
| Тюменская область (без автономных округов) | 37,00 | — | — | — | — | — | 10,00 |
| Челябинская область | 16,00 | — | 3,00 | — | — | — | 11,00 |
| Сибирский федеральный округ | 238,00 | — | 26,00 | — | — | — | 159,00 |
| Алтайский край | 101,00 | — | — | — | — | — | 82,00 |
| Красноярский край | 35,00 | — | 6,00 | — | — | — | 6,00 |
| Иркутская область | 9,00 | — | — | — | — | — | — |
| Кемеровская область - Кузбасс | 17,00 | — | — | — | — | — | — |
| Новосибирская область | 49,00 | — | 11,00 | — | — | — | 44,00 |
| Омская область | 18,00 | — | 5,00 | — | — | — | 5,00 |
| Дальневосточный федеральный округ | 48,00 | — | — | — | — | — | 18,00 |
| Приморский край | 15,00 | — | — | — | — | — | — |
| Амурская область | 30,00 | — | — | — | — | — | — |
How to read this table
Row variations allow for comparing equipment fleet renewal rates across different parts of the country. By comparing data for the Russian Federation, the Southern Federal District, and the Volga Federal District, one can identify where demand for domestic combines or harvesters is higher. This facilitates assessing the territorial distribution of agricultural machinery procurement within a single reporting period
What is visible in these numbers
What is measured: Combines: — grain harvesters; Combines: — maize harvesters; Combines: — forage harvesters; Combines: — flax harvesters; Combines: — potato harvesters; Beet harvesters (excluding haulm harvesters); Windrow headers
Out of 175 possible values, 82 are filled (46.9%). There are many gaps: a significant portion of the items were observed only in certain periods, and such series should be compared with caution
The same indicator in other breakdowns (3)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
This data is published as part of agricultural status bulletins. The data provides a cross-section by machine type without longitudinal dynamics. This information is intended for agro-industrial sector specialists, manufacturing enterprise representatives, and government agencies monitoring agricultural development
How it is calculated
The harvest and livestock population of the current year determine the purchase prices of the next: a processor needs such series earlier than a supplier's price list
Did you notice an error in this table? The parser is wrong, and most often one correction fixes many pages
Report an error Typo is easier this way: highlight it and press Ctrl + Enter