Number of combine harvesters and windrowers purchased by farms in 63
During the year, farms across the country purchased various amounts of machinery, ranging from grain harvesters to windrowers. The table rows vary by geographic coverage, including the Russian Federation, the Central Federal District, and the Southern Federal District. The data provides a breakdown by specific equipment types, enabling comparison of purchase volumes across different machine types. A total of 2218 grain harvesters and 1428 windrowers were acquired nationwide
Quantity of agricultural machinery acquired: grain harvesters and windrowers by federal district
Set in numbers
Rosstat data. Series: 63, indicators: 7. Table rows: Russian Federation; Central Federal District; Southern Federal District; Volga Federal District; Voronezh Oblast and others
Five largest values: Russian Federation (2 218), Volga Federal District (603), Central Federal District (512), Siberian Federal District (370), Southern Federal District (338). The gap between the largest and smallest is 277.3 times. The top five account for 76.9% of the total for all positions — the distribution is heavily skewed toward the top
All table numbers are series: 63
| Series | Комбайны: — зерноуборочные | Комбайны: — кукурузоуборочные | Комбайны: — кормоуборочные | Комбайны: — льноуборочные | Комбайны: — картофелеуборочные | Свеклоуборочные машины (без ботвоуборочных) | Жатки валковые |
|---|---|---|---|---|---|---|---|
| Российская Федерация | 2 218,00 | 46,00 | 422,00 | — | 58,00 | 149,00 | 1 428,00 |
| Центральный федеральный округ | 512,00 | 17,00 | 90,00 | — | 23,00 | 96,00 | 269,00 |
| Белгородская область | 58,00 | — | 8,00 | — | — | — | 23,00 |
| Брянская область | 30,00 | — | 10,00 | — | 7,00 | — | 15,00 |
| Владимирская область | 8,00 | — | — | — | — | — | 6,00 |
| Воронежская область | 101,00 | 7,00 | 13,00 | — | — | 30,00 | 52,00 |
| Калужская область | 9,00 | — | 4,00 | — | — | — | 5,00 |
| Костромская область | — | — | 4,00 | — | — | — | — |
| Курская область | 44,00 | — | 3,00 | — | — | 6,00 | 26,00 |
| Липецкая область | 35,00 | — | 3,00 | — | — | 23,00 | 13,00 |
| Московская область | 7,00 | — | 8,00 | — | 7,00 | — | 9,00 |
| Орловская область | 73,00 | — | 5,00 | — | — | 6,00 | 24,00 |
| Рязанская область | 31,00 | — | 10,00 | — | — | — | 25,00 |
| Смоленская область | 5,00 | — | 4,00 | — | — | — | — |
| Тамбовская область | 67,00 | — | 3,00 | — | — | 13,00 | 55,00 |
| Тульская область | 28,00 | — | — | — | — | — | 9,00 |
| Ярославская область | 7,00 | — | 9,00 | — | — | — | — |
| Северо-Западный федеральный округ | 23,00 | — | 41,00 | — | 4,00 | — | 40,00 |
| Республика Коми | — | — | 3,00 | — | — | — | — |
| Вологодская область | 8,00 | — | 18,00 | — | — | — | 6,00 |
| Калининградская область | — | — | — | — | — | — | 20,00 |
| Ленинградская область | 6,00 | — | 15,00 | — | — | — | 8,00 |
| Южный федеральный округ | 338,00 | 10,00 | 28,00 | — | 4,00 | 33,00 | 172,00 |
| Республика Крым | 9,00 | — | — | — | — | — | — |
| Краснодарский край | 125,00 | — | 15,00 | — | — | 27,00 | 69,00 |
| Волгоградская область | 61,00 | — | — | — | — | — | 50,00 |
| Ростовская область | 136,00 | — | 5,00 | — | — | — | 47,00 |
| Северо-Кавказский федеральный округ | 158,00 | — | 10,00 | — | — | — | 61,00 |
| Республика Дагестан | 6,00 | — | — | — | — | — | — |
| Ставропольский край | 144,00 | — | 7,00 | — | — | — | 47,00 |
| Приволжский федеральный округ | 603,00 | 13,00 | 167,00 | — | 3,00 | 15,00 | 397,00 |
| Республика Башкортостан | 72,00 | — | 18,00 | — | — | 5,00 | 57,00 |
| Республика Марий Эл | — | — | 6,00 | — | — | — | 4,00 |
| Республика Мордовия | 50,00 | — | 6,00 | — | — | — | 8,00 |
| Республика Татарстан | 42,00 | — | 26,00 | — | — | 3,00 | 23,00 |
| Удмуртская Республика | 25,00 | — | 39,00 | — | — | — | 18,00 |
| Чувашская Республика | 14,00 | — | 7,00 | — | — | — | 5,00 |
| Пермский край | — | — | 16,00 | — | — | — | 6,00 |
| Кировская область | 15,00 | — | 13,00 | — | — | — | 9,00 |
| Нижегородская область | 47,00 | — | 20,00 | — | — | — | 19,00 |
| Оренбургская область | 69,00 | — | 7,00 | — | — | — | 78,00 |
| Пензенская область | 48,00 | — | 4,00 | — | — | — | 13,00 |
| Самарская область | 85,00 | — | — | — | — | — | 61,00 |
| Саратовская область | 74,00 | — | — | — | — | 4,00 | 66,00 |
| Ульяновская область | 49,00 | — | — | — | — | — | 30,00 |
| Уральский федеральный округ | 108,00 | — | 27,00 | — | — | — | 67,00 |
| Курганская область | 23,00 | — | — | — | — | — | 22,00 |
| Свердловская область | 43,00 | — | 17,00 | — | — | — | 25,00 |
| Тюменская область | 25,00 | — | — | — | — | — | 9,00 |
| Тюменская область (без автономных округов) | 25,00 | — | — | — | — | — | 9,00 |
| Челябинская область | 17,00 | — | 7,00 | — | — | — | 11,00 |
| Сибирский федеральный округ | 370,00 | — | 53,00 | — | 17,00 | — | 370,00 |
| Алтайский край | 162,00 | — | 16,00 | — | — | — | 219,00 |
| Красноярский край | 32,00 | — | 6,00 | — | — | — | 10,00 |
| Иркутская область | — | — | — | — | — | — | 9,00 |
| Кемеровская область | 33,00 | — | — | — | — | — | 22,00 |
| Новосибирская область | 76,00 | — | 14,00 | — | — | — | 58,00 |
| Омская область | 33,00 | — | 9,00 | — | — | — | 45,00 |
| Томская область | 8,00 | — | 3,00 | — | 3,00 | — | 7,00 |
| Дальневосточный федеральный округ | 106,00 | — | — | — | 3,00 | — | 52,00 |
| Республика Саха (Якутия) | 3,00 | — | — | — | — | — | — |
| Приморский край | 29,00 | — | — | — | — | — | — |
| Амурская область | 60,00 | — | — | — | — | — | 17,00 |
How to read this table
The differences between rows allow for a comparison of national indicators with data from specific federal districts. By comparing these series, it is possible to determine which regions of Russia have higher or lower demand for grain harvesters or windrowers. The table columns are organized by equipment type, allowing for an analysis of which specific units were most in demand in the agricultural sector during the reporting period
What is visible in these numbers
What is measured: Combines: — grain harvesters; Combines: — corn harvesters; Combines: — forage harvesters; Combines: — flax harvesters; Combines: — potato harvesters; Beet harvesters (excluding haulm harvesters); Windrow headers
101 out of 175 cells contain numbers (57.7%). There are many gaps — some positions were observed only in certain periods; this should be taken into account when comparing
The same indicator in other breakdowns (3)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
Statistics are compiled based on agricultural status bulletins. This information is relevant for analyzing machinery fleet renewal within the agro-industrial complex. Data for the Russian Federation and its districts can assist in procurement planning and assessing the level of technical equipment in farms
How it is calculated
Data on crops, yields, and livestock are used in planning raw material purchases, crop assessment, and food price forecasting
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