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Power capacities in agriculture: dynamics

· dynamics annual · rows: 7 · periods: 6 · section: Bulletins on the state of agriculture (electronic versions)

Total nominal engine power of tractors, combines, and vehicles in Russian agriculture from 2019 to 2024 is presented as annual dynamics. Table rows are categorized by equipment type: engine power for tractors, combines, self-propelled machines, and vehicles is provided separately. This data allows for tracking changes in the energy capacity fleet in the agricultural sector over a six-year period

Chart showing changes in agricultural energy capacity from 2019 to 2024

0 20 40 60 80 100 2019 2020 2021 2022 2023 2024
how it will look

Set in numbers

Coverage: 7 series, 2019 through 2024, 6 reporting periods. 42 values in total.

Between 2019 and 2024 “Суммарная номинальная мощность двигателей тракторов (включая тракторы, на которых смонтированы землеройные, мелиоративные и другие машины)” rose from 30.6 to 33.1 — 8.4%.

All table numbers are series: 7

How to read this table

Each row represents a separate category of machinery, allowing for an assessment of each equipment type's contribution to the total energy base of the industry. Comparing indicators for tractors, combines, and vehicles helps identify the machine fleet structure and which specific types of equipment prevail or change in power. This provides a comprehensive view of the agricultural sector's technical equipment status over the entire period

What is visible in these numbers

The largest value belongs to “Всего энергетических мощностей” — 93.9; the smallest is “Рабочий скот в пересчете на механическую силу” at 0.049. The gap between them is 1,914-fold.

The same indicator for other periods

More in the section Bulletins on the state of agriculture (electronic versions)»

Period and application

Data is published annually in electronic versions of bulletins on the state of agriculture. This information is relevant for agricultural specialists planning fleet updates or assessing the industry's technical potential. The data covers the period from 2019 to 2024 and enables analysis of long-term changes in machine power