Number of agricultural machinery units written off due to wear per year: combines
The annual volume of agricultural machinery written off due to wear and tear is broken down by machine type. Rows include the Russian Federation, the Southern and Volga Federal Districts, while columns list specific categories, such as combine harvesters and sugar beet harvesters. The data is presented as a single-year snapshot, allowing for an assessment of the current fleet retirement situation
Annual agricultural machinery written off due to wear and tear by machine type and federal district
Set in numbers
Rosstat data. Series: 61, indicators: 7. The breakdown is by the following positions: Russian Federation; Southern Federal District; Volga Federal District; Central Federal District; Belgorod Oblast and others
The five largest values are: Russian Federation (1 140), Volga Federal District (347), Central Federal District (202), Southern Federal District (172), Rostov Oblast (75). The gap between the largest and smallest is 228 times. The top five account for 77.4% of the total for all positions — the distribution is heavily skewed toward the top
All table numbers are series: 61
| Series | Комбайны: — зерноуборочные | Комбайны: — кукурузоуборочные | Комбайны: — кормоуборочные | Комбайны: — льноуборочные | Комбайны: — картофелеуборочные | Жатки валковые | Свеклоуборочные машины (без ботвоуборочных) |
|---|---|---|---|---|---|---|---|
| Российская Федерация | 1 140,00 | 39,00 | 407,00 | 36,00 | 42,00 | 570,00 | 72,00 |
| Центральный федеральный округ | 202,00 | — | 77,00 | — | 16,00 | 72,00 | 45,00 |
| Белгородская область | 10,00 | — | 5,00 | — | — | 4,00 | 8,00 |
| Брянская область | 13,00 | — | — | — | — | — | — |
| Владимирская область | 14,00 | — | 5,00 | — | — | — | — |
| Воронежская область | 27,00 | — | 8,00 | — | — | 17,00 | 7,00 |
| Ивановская область | 4,00 | — | — | — | — | — | — |
| Калужская область | 11,00 | — | 4,00 | — | — | — | — |
| Костромская область | 6,00 | — | — | — | — | — | — |
| Курская область | 15,00 | — | 6,00 | — | — | 10,00 | — |
| Липецкая область | 15,00 | — | 4,00 | — | — | — | — |
| Московская область | 5,00 | — | 14,00 | — | 3,00 | — | — |
| Орловская область | 23,00 | — | 3,00 | — | — | 6,00 | — |
| Рязанская область | 11,00 | — | 6,00 | — | — | — | — |
| Смоленская область | 4,00 | — | 4,00 | — | — | — | — |
| Тамбовская область | 21,00 | — | — | — | — | 16,00 | 11,00 |
| Тверская область | 3,00 | — | — | — | 5,00 | — | — |
| Тульская область | 15,00 | — | — | — | — | — | — |
| Ярославская область | 5,00 | — | 5,00 | — | — | 3,00 | — |
| Северо-Западный федеральный округ | 26,00 | — | 26,00 | — | 6,00 | 25,00 | — |
| Вологодская область | 15,00 | — | 7,00 | — | — | 6,00 | — |
| Ленинградская область | — | — | 9,00 | — | 6,00 | — | — |
| Новгородская область | — | — | — | — | — | 4,00 | — |
| Южный федеральный округ | 172,00 | 18,00 | 21,00 | — | 3,00 | 109,00 | 10,00 |
| Республика Крым | — | — | 4,00 | — | — | — | — |
| Краснодарский край | 64,00 | 15,00 | 11,00 | — | — | 39,00 | — |
| Волгоградская область | 25,00 | — | — | — | — | 18,00 | — |
| Ростовская область | 75,00 | — | 6,00 | — | — | 42,00 | — |
| Северо-Кавказский федеральный округ | 72,00 | — | 11,00 | — | — | 9,00 | — |
| Республика Северная Осетия-Алания | 3,00 | — | — | — | — | — | — |
| Ставропольский край | 62,00 | — | 8,00 | — | — | — | — |
| Приволжский федеральный округ | 347,00 | 11,00 | 139,00 | — | 11,00 | 146,00 | 8,00 |
| Республика Башкортостан | 35,00 | — | 16,00 | — | — | 26,00 | — |
| Республика Мордовия | 27,00 | — | 8,00 | — | — | 6,00 | — |
| Республика Татарстан | 44,00 | — | 23,00 | — | — | 10,00 | — |
| Удмуртская Республика | 23,00 | — | 16,00 | — | — | 14,00 | — |
| Чувашская Республика | 14,00 | — | 11,00 | — | — | 3,00 | — |
| Пермский край | 22,00 | — | 15,00 | — | — | — | — |
| Кировская область | — | — | 9,00 | — | — | — | — |
| Нижегородская область | 22,00 | — | 20,00 | — | — | 12,00 | — |
| Оренбургская область | 38,00 | — | 13,00 | — | — | 15,00 | — |
| Пензенская область | 11,00 | — | — | — | — | 8,00 | — |
| Самарская область | 27,00 | — | — | — | — | — | — |
| Саратовская область | 48,00 | — | — | — | — | 30,00 | — |
| Ульяновская область | 28,00 | — | — | — | — | 11,00 | — |
| Уральский федеральный округ | 55,00 | — | 35,00 | — | — | 25,00 | — |
| Курганская область | 13,00 | — | 6,00 | — | — | — | — |
| Свердловская область | 14,00 | — | 13,00 | — | — | 5,00 | — |
| Тюменская область | 12,00 | — | 12,00 | — | — | — | — |
| Тюменская область (без автономных округов) | 12,00 | — | 12,00 | — | — | — | — |
| Челябинская область | 16,00 | — | 4,00 | — | — | 7,00 | — |
| Сибирский федеральный округ | 208,00 | — | 87,00 | — | — | 162,00 | — |
| Республика Хакасия | 17,00 | — | 5,00 | — | — | — | — |
| Алтайский край | 76,00 | — | 17,00 | — | — | 96,00 | — |
| Красноярский край | 40,00 | — | 19,00 | — | — | 8,00 | — |
| Кемеровская область | 7,00 | — | 5,00 | — | — | — | — |
| Новосибирская область | 55,00 | — | 29,00 | — | — | 25,00 | — |
| Омская область | 9,00 | — | 7,00 | — | — | 24,00 | — |
| Дальневосточный федеральный округ | 58,00 | — | — | — | 4,00 | 22,00 | — |
| Приморский край | 6,00 | — | — | — | — | — | — |
| Амурская область | 42,00 | — | — | — | — | 8,00 | — |
How to read this table
Indicators can be compared by matching the national total with data from specific federal districts. The rows show the difference in the scale of fleet renewal between the Southern and Volga districts, while the columns provide a detailed view of which specific machinery categories are most frequently retired within the presented list
What is visible in these numbers
Table columns: Combine harvesters: — grain; Combine harvesters: — corn; Combine harvesters: — forage; Combine harvesters: — flax; Combine harvesters: — potato; Windrowers; Beet harvesters (excluding haulm harvesters)
91 out of 175 cells contain numbers (52%). A smaller part of the table is filled, so direct comparison of positions between periods may be misleading
The same indicator in other breakdowns (3)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
Information is sourced from electronic versions of agricultural status bulletins. The statistics are useful for agricultural sector specialists and machinery manufacturing enterprises to assess regional fleet renewal rates and plan new machinery procurement
How it is calculated
Data on crops, yields, and livestock are used in planning raw material purchases, assessing harvests, and forecasting food prices
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