Production of sheep wool in agricultural organizations
Sheep wool production volumes in agricultural organizations not classified as small businesses are shown in twenty-seven rows. They present indicators for all of Russia, federal districts, and individual regions. The data covers the period from April to June 2025 and also contains the ratio of 2026 indicators to 2025 levels in percent
Graph of sheep wool production in large agricultural organizations, 2025–2026
See also
- Поголовье скота в России по годам: 1990-2025 indicator breakdown
Set in numbers
This is a cross-section: 27 series across 6 breakdowns. 135 values in total.
The largest value belongs to “Rostov Region” — 1,000 million; the smallest is “Republic of Kalmykia” at 31.5. The gap between them is 31.7 million-fold.
All table numbers are series: 27
| Series | Apr–Jun 2025 | Apr–Jun 2026 | 2026 в % к 2025 | Jan–Jun 2025 | Jan–Jun 2026 | 2026 в % к 2025 |
|---|---|---|---|---|---|---|
| Российская федерация | 4 915,46 | 3 747,79 | 76,25 | 5 108,86 | 3 986,09 | 78,02 |
| Центральный федеральный округ | 341,30 | 165,00 | 48,35 | 341,30 | 174,00 | 50,98 |
| Белгородская область | 999 999 999,00 | 999 999 999,00 | 48,98 | 999 999 999,00 | 999 999 999,00 | 48,98 |
| Воронежская область | 999 999 999,00 | 999 999 999,00 | 240,00 | 999 999 999,00 | 999 999 999,00 | 240,00 |
| Ивановская область | 999 999 999,00 | — | — | 999 999 999,00 | 9,00 | 999 999 999,00 |
| Московская область | 999 999 999,00 | — | — | 999 999 999,00 | — | — |
| Рязанская область | 999 999 999,00 | — | — | 999 999 999,00 | — | — |
| Смоленская область | 999 999 999,00 | 999 999 999,00 | 76,33 | 999 999 999,00 | 999 999 999,00 | 76,33 |
| Южный федеральный округ | 698,00 | 433,17 | 62,06 | 698,00 | 446,97 | 64,04 |
| Республика Калмыкия | 999 999 999,00 | 999 999 999,00 | 31,54 | 999 999 999,00 | 999 999 999,00 | 31,54 |
| Краснодарский край | 999 999 999,00 | 999 999 999,00 | 85,50 | 999 999 999,00 | 999 999 999,00 | 85,50 |
| Астраханская область | 999 999 999,00 | — | — | 999 999 999,00 | — | — |
| Волгоградская область | 999 999 999,00 | 999 999 999,00 | 89,45 | 999 999 999,00 | 999 999 999,00 | 89,45 |
| Ростовская область | 217,30 | 999 999 999,00 | 999 999 999,00 | 217,30 | 999 999 999,00 | 999 999 999,00 |
| Северо-кавказский федеральный округ | 3 426,14 | 2 814,88 | 82,16 | 3 619,54 | 2 995,38 | 82,76 |
| Республика Дагестан | 751,00 | 202,00 | 26,90 | 911,60 | 382,50 | 41,96 |
| Республика Ингушетия | 999 999 999,00 | 68,08 | 999 999 999,00 | 999 999 999,00 | 68,08 | 999 999 999,00 |
| Чеченская Республика | 999 999 999,00 | 241,00 | 999 999 999,00 | 999 999 999,00 | 241,00 | 999 999 999,00 |
| Ставропольский край | 2 558,74 | 2 303,80 | 90,04 | 2 591,54 | 2 303,80 | 88,90 |
| Приволжский федеральный округ | 64,00 | 999 999 999,00 | 999 999 999,00 | 64,00 | 999 999 999,00 | 999 999 999,00 |
| Республика Татарстан | — | — | — | — | 35,00 | — |
| Саратовская область | 64,00 | 999 999 999,00 | 999 999 999,00 | 64,00 | 999 999 999,00 | 999 999 999,00 |
| Сибирский федеральный округ | 358,02 | 313,74 | 87,63 | 358,02 | 313,74 | 87,63 |
| Республика Алтай | 165,02 | 157,74 | 95,59 | 165,02 | 157,74 | 95,59 |
| Республика Тыва | 193,00 | 156,00 | 80,83 | 193,00 | 156,00 | 80,83 |
| Дальневосточный федеральный округ | 999 999 999,00 | — | — | 999 999 999,00 | — | — |
| Забайкальский край | 999 999 999,00 | — | — | 999 999 999,00 | — | — |
How to read this table
The rows in the list vary in scope: from the total for the Russian Federation to data for specific constituent entities, such as Belgorod Oblast. They are useful for assessing the contribution of individual districts or regions to the national production volume. The columns allow for comparing actual quarterly results with the expected dynamics for the following year
What is visible in these numbers
The table is 88% filled: Rosstat does not publish every cell, and the gaps are left as they are rather than interpolated.
More in the section Agriculture, hunting and forestry»
Period and application
Data is published by Rosstat based on reports from large agricultural enterprises. The information for April–June 2025 provides a current snapshot, while the forecast column helps estimate planned changes in volumes. The statistics are useful for livestock analysis and planning raw material supplies in the textile industry
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