Availability of tractors and combine harvesters in agricultural organizations
The number of hectares of arable land per tractor or combine is shown as a yearly trend from 2015 to 2024. The rows present various parameters: the number of tractors per 1,000 ha of arable land, the arable land load per tractor, and similar data for grain harvesters. These figures allow for an assessment of the level of agricultural mechanization and changes in equipment utilization intensity. The data covers all agricultural organizations in the country for the specified period
- sugar beet harvesting machines (excluding haulm harvesting)
- grain harvesting
- Нагрузка пашни на один трактор2), га
- flax harvesting
- potato harvesting
Chart of tractor and combine availability in agricultural organizations from 2015 to 2024
Who grew, who fell: 2015 → 2024
See also
- Barley yield in Russia by year long time series by year
- Cattle population in Russia by year long time series by year
- Grain harvest in Russia by year long time series by year
- Number of cows in Russia by year long time series by year
- Sunflower yield in Russia by year long time series by year
- Wheat harvest in Russia by year long time series by year
- Wheat yield in Russia by year long time series by year
Set in numbers
17 series are published here, from 2015 to 2024, 6 reporting periods. 102 values in total.
“Приходится тракторов на 1000 га пашни2), шт.” ends where it started: 3 in 2015 against 3 in 2024.
All table numbers are series: 17
| Series | 2015 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| Приходится тракторов на 1000 га пашни2), шт. | 3,00 | 3,00 | 3,00 | 3,00 | 3,00 | 3,00 |
| Нагрузка пашни на один трактор2), га | 308,00 | 349,00 | 363,00 | 372,00 | 369,00 | 368,00 |
| зерноуборочных | 2,00 | 2,00 | 2,00 | 2,00 | 2,00 | 2,00 |
| кукурузоуборочных | 0,50 | 0,30 | 0,40 | 0,40 | 0,40 | 0,40 |
| картофелеуборочных | 15,00 | 15,00 | 14,00 | 14,00 | 14,00 | 15,00 |
| льноуборочных | 14,00 | 9,00 | 13,00 | 13,00 | 13,00 | 9,00 |
| свеклоуборочных машин (без ботвоуборочных) | 3,00 | 2,00 | 2,00 | 2,00 | 2,00 | 2,00 |
| зерноуборочный | 422,00 | 451,00 | 449,00 | 460,00 | 454,00 | 442,00 |
| кукурузоуборочный | 2 008,00 | 2 974,00 | 2 808,00 | 2 579,00 | 2 418,00 | 2 298,00 |
| картофелеуборочный | 67,00 | 66,00 | 70,00 | 73,00 | 72,00 | 67,00 |
| льноуборочный | 70,00 | 114,00 | 79,00 | 75,00 | 75,00 | 117,00 |
| свеклоуборочную машину (без ботвоуборочных) | 396,00 | 431,00 | 479,00 | 505,00 | 490,00 | 536,00 |
| плугов | 27,00 | 28,00 | 28,00 | 28,00 | 28,00 | 28,00 |
| культиваторов | 40,00 | 40,00 | 40,00 | 39,00 | 39,00 | 39,00 |
| сеялок | 40,00 | 35,00 | 34,00 | 33,00 | 32,00 | 31,00 |
| грабель | 6,00 | 6,00 | 6,00 | 6,00 | 6,00 | 6,00 |
| косилок | 14,00 | 14,00 | 14,00 | 14,00 | 14,00 | 15,00 |
How to read this table
The rows are categorized by equipment type and calculation method. Some values show machine density per a specific area, while others show the number of hectares processed per unit of equipment. Comparing these series helps determine whether the machinery fleet is becoming more or less efficient per hectare of cultivated land. This provides insight into the actual availability of agricultural machinery in farms, independent of the total number of units in the country
What is visible in these numbers
“maize harvesting” leads the table with 2,298, “sugar beet harvesting machines (excluding top harvesting)” closes it with 2. The gap between them is 1,149-fold.
More in the section Agriculture»
Period and application
The statistics are updated annually and cover the period from 2015 to 2024. Technical equipment data is useful for agricultural holdings, agricultural investors, and mechanization specialists for equipment procurement planning and machinery fleet efficiency analysis
1) Без учета микропредприятий.
2) Без тракторов, на которых смонтированы землеройные, мелиоративные и другие машины.
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