Number of units of new agricultural machinery purchased in Russia and federal districts
New grain combines, windrow headers, and other machinery: this selection provides annual agricultural machinery purchase data. Rows include the Russian Federation and three federal districts, with columns representing various equipment types. The data allows for comparison of equipment fleet renewal volumes across different parts of the country. The information is presented as a cross-section without time series and is sourced from electronic bulletins on the state of agriculture
Table showing the number of new agricultural machinery units purchased by federal district and equipment type
Set in numbers
Rosstat data. Rows: 68, indicators: 7. The breakdown is by the following positions: Russian Federation; Central Federal District; Volga Federal District; Voronezh Oblast; Siberian Federal District, and others
The five largest values: Russian Federation (1 837), Volga Federal District (645), Siberian Federal District (359), Central Federal District (318), Southern Federal District (255). The gap between the largest and smallest is 167 times. The top five account for 78.4% of the total for all positions — the distribution is heavily skewed toward 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 | 1 837,00 | 49,00 | 373,00 | — | 54,00 | 115,00 | 1 435,00 |
| Центральный федеральный округ | 318,00 | 17,00 | 87,00 | — | 32,00 | 69,00 | 263,00 |
| Белгородская область | 12,00 | — | 7,00 | — | — | — | 11,00 |
| Брянская область | 8,00 | — | 5,00 | — | 9,00 | — | 14,00 |
| Владимирская область | 11,00 | 4,00 | 12,00 | — | — | — | 4,00 |
| Воронежская область | 60,00 | 6,00 | 9,00 | — | — | 10,00 | 57,00 |
| Ивановская область | — | — | 9,00 | — | — | — | — |
| Калужская область | 7,00 | — | 5,00 | — | — | — | — |
| Костромская область | — | — | 3,00 | — | — | — | — |
| Курская область | 32,00 | — | 7,00 | — | — | 5,00 | 15,00 |
| Липецкая область | 19,00 | — | 5,00 | — | — | 16,00 | 9,00 |
| Московская область | 14,00 | — | 7,00 | — | 7,00 | — | 8,00 |
| Орловская область | 24,00 | — | — | — | — | 11,00 | 12,00 |
| Рязанская область | 30,00 | — | 3,00 | — | — | — | 40,00 |
| Смоленская область | 7,00 | — | — | — | — | — | — |
| Тамбовская область | 74,00 | — | 3,00 | — | — | 13,00 | 69,00 |
| Тульская область | 15,00 | — | — | — | — | — | 11,00 |
| Ярославская область | — | — | 7,00 | — | — | — | 8,00 |
| Северо-Западный федеральный округ | 30,00 | — | 34,00 | — | 4,00 | — | 34,00 |
| Республика Коми | — | — | — | — | — | — | 3,00 |
| Архангельская область | — | — | 4,00 | — | — | — | — |
| Архангельская область (без автономного округа) | — | — | 4,00 | — | — | — | — |
| Вологодская область | 19,00 | — | 12,00 | — | — | — | 6,00 |
| Калининградская область | — | — | — | — | — | — | 15,00 |
| Ленинградская область | 8,00 | — | 11,00 | — | — | — | 5,00 |
| Южный федеральный округ | 255,00 | — | 26,00 | — | — | 27,00 | 169,00 |
| Республика Адыгея | 4,00 | — | — | — | — | — | — |
| Республика Калмыкия | 4,00 | — | — | — | — | — | — |
| Республика Крым | — | — | — | — | — | — | 6,00 |
| Краснодарский край | 59,00 | — | 18,00 | — | — | 22,00 | 22,00 |
| Волгоградская область | 65,00 | — | — | — | — | — | 71,00 |
| Ростовская область | 115,00 | — | 6,00 | — | — | — | 65,00 |
| Северо-Кавказский федеральный округ | 89,00 | — | 8,00 | — | — | 5,00 | 49,00 |
| Ставропольский край | 78,00 | — | — | — | — | 5,00 | 26,00 |
| Приволжский федеральный округ | 645,00 | 18,00 | 155,00 | — | 7,00 | 13,00 | 544,00 |
| Республика Башкортостан | 86,00 | — | 13,00 | — | — | — | 57,00 |
| Республика Марий Эл | 17,00 | — | 3,00 | — | — | — | 7,00 |
| Республика Мордовия | 45,00 | — | — | — | — | — | 11,00 |
| Республика Татарстан | 64,00 | 8,00 | 26,00 | — | — | — | 69,00 |
| Удмуртская Республика | 42,00 | — | 35,00 | — | — | — | 25,00 |
| Чувашская Республика | 31,00 | — | 10,00 | — | — | — | 4,00 |
| Пермский край | 15,00 | — | 9,00 | — | — | — | 7,00 |
| Кировская область | 22,00 | — | 19,00 | — | — | — | 9,00 |
| Нижегородская область | 32,00 | — | 13,00 | — | 3,00 | — | 10,00 |
| Оренбургская область | 69,00 | — | 8,00 | — | — | — | 104,00 |
| Пензенская область | 34,00 | — | — | — | — | 3,00 | 30,00 |
| Самарская область | 67,00 | — | 4,00 | — | — | — | 64,00 |
| Саратовская область | 87,00 | — | 9,00 | — | — | 7,00 | 121,00 |
| Ульяновская область | 34,00 | — | — | — | — | — | 26,00 |
| Уральский федеральный округ | 91,00 | — | 20,00 | — | 5,00 | — | 84,00 |
| Курганская область | 26,00 | — | — | — | — | — | 33,00 |
| Свердловская область | 15,00 | — | 15,00 | — | — | — | 13,00 |
| Тюменская область | 20,00 | — | — | — | — | — | 4,00 |
| Тюменская область (без автономных округов) | 20,00 | — | — | — | — | — | 4,00 |
| Челябинская область | 30,00 | — | — | — | — | — | 34,00 |
| Сибирский федеральный округ | 359,00 | 4,00 | 40,00 | — | 3,00 | — | 258,00 |
| Республика Хакасия | 10,00 | — | — | — | — | — | — |
| Алтайский край | 152,00 | — | 11,00 | — | — | — | 116,00 |
| Красноярский край | 37,00 | — | 7,00 | — | — | — | 14,00 |
| Иркутская область | 7,00 | — | 3,00 | — | — | — | — |
| Кемеровская область | 33,00 | — | — | — | — | — | 22,00 |
| Новосибирская область | 54,00 | — | 9,00 | — | — | — | 63,00 |
| Омская область | 61,00 | — | 3,00 | — | — | — | 33,00 |
| Томская область | 5,00 | — | — | — | — | — | — |
| Дальневосточный федеральный округ | 50,00 | — | 3,00 | — | — | — | 34,00 |
| Приморский край | 5,00 | — | — | — | — | — | — |
| Хабаровский край | 4,00 | — | — | — | — | — | — |
| Амурская область | 36,00 | — | — | — | — | — | 21,00 |
How to read this table
Row comparisons allow for assessing the scale of technical re-equipment nationwide and specifically in the Central and Volga Federal Districts. Columns provide data on specific equipment types, from grain combines to windrow headers. Comparing indicators reveals which machinery is most in demand in a given district. For example, a total of 1837 grain combines and 1435 windrow headers were recorded in Russia
What is visible in these numbers
Indicators in the set: Combines: — grain harvesters; Combines: — corn harvesters; Combines: — forage harvesters; Combines: — flax harvesters; Combines: — potato harvesters; Beet harvesters (excluding haulm harvesters); Windrow headers
Out of 175 possible values, 102 are filled (58.3%). The data is sparse — for many positions, observations were not conducted for the entire period, and aggregate 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
Data from the electronic bulletin on the state of agriculture is useful for analyzing the current equipment levels of the agro-industrial complex. The data does not include time series, as it represents a single cross-section by machinery type. This information is intended for agribusiness representatives, procurement specialists, and those monitoring machinery fleet status across Russia's regions
How it is calculated
Sown area data shows what will be abundant and what will be scarce several months before it is reflected on the shelf
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