Total area of tea leaves in agriculture
section
Total tea leaf area by variety is presented in three rows: for the entire Russian Federation, the Southern Federal District, and the Krasnodar Krai. Columns contain data by farm category, ranging from agricultural organizations to percentage change. The data reflects a current snapshot of crop status without reference to long-term periods
Total tea leaf area in Russia, SFD, and Krasnodar Krai, variety indicator
Set in numbers
The table is a snapshot — 3 series in section shown across 7 breakdowns. 15 values in total.
The largest value belongs to “Russian Federation” — 47.2 section; the smallest is “Krasnodar Territory” at 47.2 section.
All table numbers are series: 3
| Series | Сельскохозяйственные организации | из них: малые предприятия | Хозяйства населения | Крестьянские (фермерские) хозяйства и индивидуальные предприниматели | 2022 | 2021 | 2022 в % к 2021 |
|---|---|---|---|---|---|---|---|
| Российская Федерация | 0,31 | 0,31 | — | — | 0,31 | 0,66 | 47,18 |
| Южный федеральный округ | 0,31 | 0,31 | — | — | 0,31 | 0,66 | 47,18 |
| Краснодарский край | 0,31 | 0,31 | — | — | 0,31 | 0,66 | 47,18 |
How to read this table
The rows in the table allow for a comparison of tea cultivation scales at the federal, district, and Krai levels. By comparing agricultural organization indicators with total values, the share of large-scale farms in the total planted area can be assessed. The percentage change shows how the tea leaf area changed in 2022 relative to 2021
What is visible in these numbers
The table is 71% filled: Rosstat does not publish every cell, and the gaps are left as they are rather than interpolated.
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 published as part of electronic bulletins on the state of agriculture. This data is relevant for analyzing tea plantation structure and the distribution of areas by type of organization. Rosstat data is suitable for assessing regional specialization and agricultural production planning
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