Gross harvest of raw cotton
Raw cotton production volumes are broken down by farm category and territory. The rows provide data for the Russian Federation, the Southern Federal District, and Volgograd Oblast, enabling comparison across different administrative levels. The data covers farm structure and two-year dynamics, including the percentage of 2022 figures relative to 2021 levels
Chart of gross harvest of raw cotton for Russia, the Southern Federal District, and Volgograd Oblast
Set in numbers
This is a cross-section: 5 series across 5 breakdowns. 14 values in total.
The largest value belongs to “Stavropol Krai / ... / ..” — 1,927; the smallest is “Volgograd Region” at 98. The gap between them is 19.7-fold.
All table numbers are series: 5
| Series | Хозяйства населения | Крестьянские (фермерские) хозяйства и индивидуальные предприниматели | 2022 | 2021 | 2022 в % к 2021 |
|---|---|---|---|---|---|
| Российская Федерация / ... / ... | — | 0,20 | 0,32 | 0,21 | 148,10 |
| Южный федеральный округ | — | 0,20 | 0,20 | 0,20 | 97,99 |
| Волгоградская область | — | 0,20 | 0,20 | 0,20 | 97,99 |
| Северо-Кавказский федеральный округ / ... / ... | — | — | — | — | 1 284,44 |
| Ставропольский край / ... / ... | — | — | — | — | 1 926,67 |
How to read this table
The rows in the list vary by territorial scale, from the national level to specific federal subjects. Comparing them allows for assessing Volgograd Oblast's share of production in the Southern Federal District and the region's contribution to the national total. The data also shows differences in harvests between peasant farm enterprises and other types of farms
What is visible in these numbers
The table is 56% 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
Statistical information is published as part of agricultural bulletins. The data is relevant for assessing crop production efficiency and planning raw material supplies. This information is useful for agribusinesses, textile manufacturers, and agricultural market analysts
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