Yield of potatoes by categories of farms in the Russian Federation
Potato yield is measured in centners per hectare. The table shows dynamics across three farm categories: agricultural organizations, household farms, and peasant (farm) households. Each year reflects the national average
The chart shows the dynamics of potato yield by farm category in Russia from 2020 to 2025: increasing yields in agricultural organizations, lower and stable indicators in household farms and peasant (farm) households
- Agricultural enterprises
- Households
- Peasant (farm) households and individual entrepreneurs
Set in numbers
Coverage: 4 series, 2020 through 2025, 6 reporting periods. 18 values in total.
“Agricultural enterprises” rose by 22.5% between 2020 and 2025, from 271 to 332. The lowest value in the series is 265 in 2021.
All table numbers are series: 4
| Series | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|---|
| строка 1 | — | — | — | — | — | — |
| Сельскохозяйственные организации | 271,00 | 265,00 | 279,00 | 316,54 | 289,74 | 331,90 |
| Хозяйства населения | 142,00 | 137,00 | 145,00 | 152,61 | 145,04 | 155,06 |
| Крестьянские (фермерские) хозяйства и индивидуальные предприниматели | 220,00 | 208,00 | 223,00 | 250,97 | 241,25 | 278,09 |
How to read this table
When comparing table rows, note the differences between farm categories. Agricultural organizations typically demonstrate higher yields due to modern technologies and specialization. Household farms and peasant (farm) households may lag due to limited resources or structural features
What is visible in these numbers
“ leads the table with 332, “ closes it with 155.
Only 75% of the cells carry a value — empty cells are missing in the source publication and are not filled in here.
The same indicator for other periods
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
Data cover the period from 2020 to 2025 and are updated annually. They are essential for agronomists to analyze cultivation efficiency, farmers to plan sown areas, and regional authorities to develop industry support programs. The data help identify trends and improve indicators selectively
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