New agricultural machinery acquired over the year (continuation)
The annual volume of new agricultural machinery purchases in Russia is broken down by machine type. The rows represent the Russian Federation and federal districts, including the Central and Southern districts, while the columns provide data on specific models, from combine harvesters to windrowers. This allows for an assessment of the technical equipment level of the agro-industrial complex across different parts of the country
Annual number of agricultural machinery units purchased by type and region
Set in numbers
Rosstat data. Rows: 68, indicators: 7. Table rows: Russian Federation; Central Federal District; Southern Federal District; Krasnodar Krai; Volga Federal District and others
Five highest values: Russian Federation (2 929), Volga Federal District (728), Siberian Federal District (611), Central Federal District (591), Southern Federal District (485). The gap between the highest and lowest is 292.9 times. The top five account for 75.8% of the total across all positions — the distribution is heavily skewed towards the top
All table numbers are series: 68
| Series | Комбайны: — зерноуборочные | Комбайны: — кукурузоуборочные | Комбайны: — кормоуборочные | Комбайны: — льноуборочные | Комбайны: — картофелеуборочные | Свеклоуборочные машины (без ботвоуборочных) | Жатки валковые |
|---|---|---|---|---|---|---|---|
| Российская Федерация | 2 929,00 | 66,00 | 516,00 | — | 121,00 | 118,00 | 1 754,00 |
| Центральный федеральный округ | 591,00 | 17,00 | 100,00 | — | 50,00 | 65,00 | 421,00 |
| Белгородская область | 43,00 | — | — | — | — | 21,00 | 40,00 |
| Брянская область | 41,00 | — | 14,00 | — | 21,00 | — | 17,00 |
| Владимирская область | 8,00 | — | 10,00 | — | — | — | — |
| Воронежская область | 103,00 | 7,00 | 7,00 | — | — | 7,00 | 40,00 |
| Ивановская область | 4,00 | — | 4,00 | — | — | — | — |
| Калужская область | 8,00 | — | — | — | — | — | — |
| Курская область | 60,00 | — | 4,00 | — | — | 11,00 | 43,00 |
| Липецкая область | 43,00 | — | 9,00 | — | — | 8,00 | 55,00 |
| Московская область | 17,00 | — | 16,00 | — | 9,00 | — | 12,00 |
| Орловская область | 51,00 | — | 7,00 | — | — | 7,00 | 54,00 |
| Рязанская область | 53,00 | — | 10,00 | — | — | — | 33,00 |
| Смоленская область | 11,00 | — | — | — | — | — | — |
| Тамбовская область | 100,00 | — | 4,00 | — | — | — | 94,00 |
| Тверская область | 6,00 | — | — | — | 3,00 | — | — |
| Тульская область | 35,00 | — | — | — | 6,00 | — | 19,00 |
| Ярославская область | — | — | 6,00 | — | — | — | 5,00 |
| Северо-Западный федеральный округ | 47,00 | — | 38,00 | — | 7,00 | — | 22,00 |
| Республика Коми | — | — | 4,00 | — | — | — | — |
| Архангельская область | — | — | 6,00 | — | — | — | — |
| Архангельская область (без автономного округа) | — | — | 6,00 | — | — | — | — |
| Вологодская область | 10,00 | — | 9,00 | — | — | — | 6,00 |
| Калининградская область | 12,00 | — | — | — | — | — | 5,00 |
| Ленинградская область | 17,00 | — | 11,00 | — | 4,00 | — | — |
| Южный федеральный округ | 485,00 | 20,00 | 39,00 | — | 15,00 | 27,00 | 311,00 |
| Республика Крым | 12,00 | — | — | — | — | — | 24,00 |
| Краснодарский край | 189,00 | 9,00 | 25,00 | — | 6,00 | 27,00 | 99,00 |
| Волгоградская область | 89,00 | — | — | — | — | — | 102,00 |
| Ростовская область | 191,00 | — | 6,00 | — | 5,00 | — | 83,00 |
| Северо-Кавказский федеральный округ | 277,00 | 7,00 | — | — | — | 6,00 | 150,00 |
| Республика Дагестан | — | — | — | — | — | — | 3,00 |
| Кабардино-Балкарская Республика | — | — | — | — | — | — | 6,00 |
| Ставропольский край | 166,00 | 7,00 | — | — | — | 6,00 | 39,00 |
| Приволжский федеральный округ | 728,00 | 16,00 | 224,00 | — | 20,00 | 15,00 | 466,00 |
| Республика Башкортостан | 76,00 | — | 35,00 | — | — | 5,00 | 29,00 |
| Республика Марий Эл | 7,00 | — | 7,00 | — | — | — | 7,00 |
| Республика Мордовия | 77,00 | — | 11,00 | — | — | — | 15,00 |
| Республика Татарстан | 102,00 | — | 35,00 | — | 8,00 | — | 52,00 |
| Удмуртская Республика | 57,00 | 4,00 | 45,00 | — | — | — | 14,00 |
| Чувашская Республика | 14,00 | — | 13,00 | — | — | — | 8,00 |
| Пермский край | 23,00 | — | 25,00 | — | — | — | 8,00 |
| Кировская область | 19,00 | — | 13,00 | — | — | — | 8,00 |
| Нижегородская область | 26,00 | — | 13,00 | — | 5,00 | — | 18,00 |
| Оренбургская область | 39,00 | — | 13,00 | — | — | — | 66,00 |
| Пензенская область | 79,00 | — | — | — | — | 4,00 | 40,00 |
| Самарская область | 103,00 | — | 4,00 | — | — | — | 70,00 |
| Саратовская область | 88,00 | — | 5,00 | — | — | — | 104,00 |
| Ульяновская область | 18,00 | — | — | — | — | — | 27,00 |
| Уральский федеральный округ | 117,00 | — | 28,00 | — | — | — | 57,00 |
| Курганская область | 32,00 | — | — | — | — | — | 28,00 |
| Свердловская область | 30,00 | — | 19,00 | — | — | — | 10,00 |
| Тюменская область | 37,00 | — | 4,00 | — | — | — | 5,00 |
| Тюменская область (без автономных округов) | 37,00 | — | 4,00 | — | — | — | 5,00 |
| Челябинская область | 18,00 | — | — | — | — | — | 14,00 |
| Сибирский федеральный округ | 611,00 | — | 78,00 | — | 15,00 | — | 289,00 |
| Республика Хакасия | 10,00 | — | — | — | — | — | — |
| Алтайский край | 188,00 | — | 29,00 | — | — | — | 138,00 |
| Красноярский край | 86,00 | — | 11,00 | — | — | — | 22,00 |
| Иркутская область | 16,00 | — | — | — | 3,00 | — | 11,00 |
| Кемеровская область | 58,00 | — | — | — | — | — | 12,00 |
| Новосибирская область | 135,00 | — | 18,00 | — | — | — | 71,00 |
| Омская область | 92,00 | — | 9,00 | — | — | — | 28,00 |
| Томская область | 26,00 | — | 7,00 | — | — | — | — |
| Дальневосточный федеральный округ | 73,00 | — | — | — | 5,00 | — | 38,00 |
| Приморский край | 10,00 | — | — | — | — | — | 6,00 |
| Хабаровский край | 11,00 | — | — | — | — | — | 14,00 |
| Амурская область | 48,00 | — | — | — | — | — | — |
How to read this table
Comparing rows helps identify differences in equipment levels between the country as a whole and individual federal districts. It shows how purchases are distributed between the Central and Southern districts compared to the Russian Federation average. The columns by machinery type allow for an assessment of the machinery fleet structure and identify which specific units farms are most frequently renewing in the current year
What is visible in these numbers
The set includes the following indicators: Combines: — grain; Combines: — maize; Combines: — forage; Combines: — flax; Combines: — potato; Beet harvesting machines (excluding beet-top harvesters); Windrow headers
Cells with numbers: 106 out of 175 (60.6%). The data are sparse — for many positions, observations were not conducted for the entire period, and summary totals for them should not be calculated
The same indicator in other breakdowns (3)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
The data is presented as a single-year snapshot without time-series analysis. This information is relevant for agro-industrial sector specialists, farm managers, and agricultural machinery market analysts. Data on the number of units by district enables tracking of industry needs for fixed asset renewal
How it is calculated
Data on sowings, yields, and livestock are used for planning raw material procurement, crop estimation, and food price forecasting
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