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Availability of power capacities in agriculture, 2020–2025

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

Total rated engine power of agricultural machinery in Russia for each year from 2020 to 2025. Rows are categorized by machinery type: tractors, combines and self-propelled machines, and vehicles. They allow for tracking changes in the technical equipment of the agro-industrial sector over six years. The indicator reflects the available power capacity at the end of the reporting period

Chart of power capacity in agriculture by machinery type from 2020 to 2025

0 20 40 60 80 100 2020 2021 2022 2023 2024 2025
how it will look

Set in numbers

7 series are published here, from 2020 to 2025, 6 reporting periods. 42 values in total.

Between 2020 and 2025 “Суммарная номинальная мощность двигателей тракторов (включая тракторы, на которых смонтированы землеройные, мелиоративные и другие машины)” rose from 31 to 33.2 — 7.2%. The lowest value in the series is 30.9 in 2021.

All table numbers are series: 7

How to read this table

Differences between rows allow for comparing the contribution of various machine types to the industry's total technical potential. It shows the share of power attributed to the tractor fleet versus combines or freight and passenger vehicles. This helps assess the structure of the machinery fleet used in agriculture and the replacement dynamics of major technical assets

What is visible in these numbers

The largest value belongs to “Всего энергетических мощностей” — 94.4; the smallest is “Рабочий скот в пересчете на механическую силу” at 0.031. The gap between them is 3,048-fold.

The same indicator for other periods

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

Period and application

Annual bulletins on the state of agriculture contain this information, covering the period from 2020 to 2025. Information is updated as new Rosstat statistical yearbooks are released. For agro-industrial specialists, investors, and government bodies involved in rural development planning, this data helps analyze the industry's technical equipment levels