Number of combines, reapers and other agricultural machinery written off due to wear and tear per year
Volumes of machine retirements due to physical wear are broken down by equipment type, from grain‑combines to reel harvesters. Rows list the Russian Federation and three federal districts, allowing comparison of machinery loss at the national and regional levels. The data cover various types of agricultural machines shown in the columns and contain 65 rows
Chart of agricultural machinery write‑offs due to wear: combines, harvesters and other machines, by region
Set in numbers
Rosstat data. Rows: 65, indicators: 7. The breakdown is by the following positions: Russian Federation; Southern Federal District; Volga Federal District; Central Federal District; Moscow Region and others
The five largest values: Russian Federation (1 640), Volga Federal District (466), Southern Federal District (320), Central Federal District (252), Rostov Region (159). The gap between the largest and the smallest is 205 times. The top five account for 75.9% of the total for all positions — the distribution is heavily skewed towards the top
All table numbers are series: 65
| Series | Комбайны: — зерноуборочные | Комбайны: — кукурузоуборочные | Комбайны: — кормоуборочные | Комбайны: — льноуборочные | Комбайны: — картофелеуборочные | Свеклоуборочные машины (без ботвоуборочных) | Жатки валковые |
|---|---|---|---|---|---|---|---|
| Российская Федерация | 1 640,00 | 28,00 | 486,00 | 15,00 | 65,00 | 84,00 | 785,00 |
| Центральный федеральный округ | 252,00 | — | 85,00 | — | 19,00 | 50,00 | 139,00 |
| Белгородская область | 27,00 | — | 4,00 | — | — | — | 24,00 |
| Брянская область | 13,00 | — | 5,00 | — | — | — | 5,00 |
| Владимирская область | 4,00 | — | 4,00 | — | — | — | — |
| Воронежская область | 44,00 | — | 10,00 | — | — | — | 19,00 |
| Ивановская область | — | — | 5,00 | — | — | — | — |
| Калужская область | 3,00 | — | 4,00 | — | — | — | — |
| Курская область | 32,00 | — | — | — | — | — | 23,00 |
| Липецкая область | 5,00 | — | — | — | — | 9,00 | — |
| Московская область | 7,00 | — | 17,00 | — | 5,00 | — | 12,00 |
| Орловская область | 14,00 | — | — | — | — | 3,00 | — |
| Рязанская область | 25,00 | — | 11,00 | — | — | — | 5,00 |
| Смоленская область | — | — | 5,00 | — | — | — | — |
| Тамбовская область | 53,00 | — | 4,00 | — | — | 8,00 | 30,00 |
| Тверская область | 4,00 | — | — | — | — | — | — |
| Тульская область | 13,00 | — | — | — | — | — | — |
| Ярославская область | — | — | 4,00 | — | — | — | — |
| Северо-Западный федеральный округ | 11,00 | — | 23,00 | — | — | — | 5,00 |
| Вологодская область | 5,00 | — | 8,00 | — | — | — | — |
| Ленинградская область | — | — | 9,00 | — | — | — | — |
| Южный федеральный округ | 320,00 | 10,00 | 37,00 | — | 4,00 | 6,00 | 165,00 |
| Республика Калмыкия | 8,00 | — | — | — | — | — | — |
| Республика Крым | — | — | — | — | — | — | 3,00 |
| Краснодарский край | 77,00 | — | 12,00 | — | — | — | 38,00 |
| Волгоградская область | 66,00 | — | 6,00 | — | — | — | 48,00 |
| Ростовская область | 159,00 | 5,00 | 17,00 | — | — | — | 73,00 |
| Северо-Кавказский федеральный округ | 120,00 | 7,00 | 24,00 | — | — | — | 28,00 |
| Республика Дагестан | 10,00 | — | — | — | — | — | — |
| Республика Ингушетия | 25,00 | — | — | — | — | — | — |
| Ставропольский край | 82,00 | — | 20,00 | — | — | — | 21,00 |
| Приволжский федеральный округ | 466,00 | — | 182,00 | 7,00 | 22,00 | 22,00 | 228,00 |
| Республика Башкортостан | 57,00 | — | 36,00 | — | — | — | 28,00 |
| Республика Марий Эл | 11,00 | — | — | — | — | — | — |
| Республика Мордовия | 38,00 | — | 11,00 | — | — | — | 4,00 |
| Республика Татарстан | 75,00 | — | 24,00 | — | 4,00 | — | 25,00 |
| Удмуртская Республика | 23,00 | — | 21,00 | 7,00 | — | — | 12,00 |
| Чувашская Республика | 8,00 | — | 8,00 | — | — | — | 6,00 |
| Пермский край | 29,00 | — | 13,00 | — | — | — | — |
| Кировская область | 27,00 | — | 17,00 | — | — | — | 11,00 |
| Нижегородская область | 23,00 | — | 25,00 | — | 13,00 | — | 4,00 |
| Оренбургская область | 46,00 | — | 11,00 | — | — | — | 28,00 |
| Пензенская область | 17,00 | — | — | — | — | — | 4,00 |
| Самарская область | 50,00 | — | 7,00 | — | — | — | 34,00 |
| Саратовская область | 41,00 | — | — | — | — | — | 61,00 |
| Ульяновская область | 21,00 | — | 4,00 | — | — | — | — |
| Уральский федеральный округ | 57,00 | — | 40,00 | — | 12,00 | — | 20,00 |
| Курганская область | 11,00 | — | — | — | — | — | 4,00 |
| Свердловская область | 27,00 | — | 16,00 | — | 8,00 | — | — |
| Тюменская область | 8,00 | — | 12,00 | — | — | — | — |
| Тюменская область (без автономных округов) | 8,00 | — | 12,00 | — | — | — | — |
| Челябинская область | 11,00 | — | — | — | — | — | 13,00 |
| Сибирский федеральный округ | 317,00 | — | 81,00 | — | — | — | 162,00 |
| Алтайский край | 115,00 | — | 29,00 | — | — | — | 57,00 |
| Красноярский край | 61,00 | — | 13,00 | — | — | — | 12,00 |
| Иркутская область | 19,00 | — | — | — | — | — | 12,00 |
| Кемеровская область | 10,00 | — | — | — | — | — | — |
| Новосибирская область | 71,00 | — | 24,00 | — | — | — | 72,00 |
| Омская область | 32,00 | — | 5,00 | — | — | — | — |
| Томская область | 5,00 | — | — | — | — | — | — |
| Дальневосточный федеральный округ | 97,00 | — | 14,00 | — | — | — | 38,00 |
| Республика Саха (Якутия) | — | — | 4,00 | — | — | — | — |
| Забайкальский край | 26,00 | — | — | — | — | — | — |
| Приморский край | 8,00 | — | — | — | — | — | — |
| Амурская область | 56,00 | — | — | — | — | — | 20,00 |
How to read this table
Comparison of indicators across federal districts shows where machinery is retired most often. The table allows matching the number of written‑off grain‑combines, which reaches 1 640 units, with other machines such as reel harvesters, of which 785 are written off. This provides insight into the structure of agricultural machinery fleet renewal by region
What is visible in these numbers
Indicators of the set: Combines: — grain harvesters; Combines: — corn harvesters; Combines: — forage harvesters; Combines: — flax harvesters; Combines: — potato harvesters; Beet harvesters (excluding haulm harvesters); Windrow headers
Cells with numbers 95 out of 175 (54.3%). There are many gaps: a significant portion of the positions were included in the observation only in certain periods, and such series should be compared with each other with caution
The same indicator in other breakdowns (3)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
The information is presented as a snapshot without reference to a specific year. Data from Rosstat electronic bulletins are useful for agribusiness groups, government agencies and fleet‑management specialists for planning purchases and assessing asset wear
How it is calculated
Data on sowing, yields, and livestock are used in planning raw material purchases, assessing harvests, and forecasting food prices
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