Average wool clip per sheep in agricultural organisations
Sheep productivity in large agricultural organizations, excluding small businesses, is presented quarterly. Table rows are categorized by territory, from the level of the Russian Federation to specific regions, such as Belgorod Oblast. Data covers the period from April to June 2025 and includes a 2026 forecast expressed as a percentage of the 2025 level
Chart of average wool clip per sheep by quarter for 2025 and the 2026 forecast
See also
- Поголовье скота в России по годам: 1990-2025 indicator breakdown
Set in numbers
Rosstat data for 2025–2026. Rows: 27, periods: 6. Breakdown: Russian Federation; Central Federal District; Belgorod Oblast; Voronezh Oblast; Smolensk Oblast and others
Five largest values: Voronezh Oblast (1 000 million), Smolensk Oblast (1 000 million), Republic of Kalmykia (1 000 million), Republic of Dagestan (1 000 million), Ivanovo Oblast (1 000 million). The gap between the largest and smallest is 3.3 billion times. The top five account for 71.4% of the total for all items — the distribution is heavily skewed toward the top
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 | 0,60 | 0,60 | 93,16 | 0,60 | 0,50 | 76,06 |
| Центральный федеральный округ | 0,30 | 0,10 | 49,09 | 0,30 | 0,20 | 50,67 |
| Белгородская область | 1,90 | 0,90 | 48,52 | 1,70 | 0,80 | 45,63 |
| Воронежская область | 0,40 | 999 999 999,00 | 999 999 999,00 | 0,40 | 999 999 999,00 | 999 999 999,00 |
| Ивановская область | 999 999 999,00 | — | — | 999 999 999,00 | 0,60 | 999 999 999,00 |
| Московская область | 1,70 | — | — | 2,60 | — | — |
| Рязанская область | 0,30 | — | — | 0,20 | — | — |
| Смоленская область | 999 999 999,00 | 999 999 999,00 | 69,52 | 999 999 999,00 | 999 999 999,00 | 76,11 |
| Южный федеральный округ | 0,30 | 0,20 | 64,38 | 0,30 | 0,20 | 63,63 |
| Республика Калмыкия | 999 999 999,00 | 0,10 | 999 999 999,00 | 999 999 999,00 | 0,00 | 999 999 999,00 |
| Краснодарский край | 0,70 | 0,50 | 66,83 | 0,80 | 0,70 | 78,80 |
| Астраханская область | 999 999 999,00 | — | — | 999 999 999,00 | — | — |
| Волгоградская область | 0,60 | 0,60 | 90,44 | 0,60 | 0,40 | 70,72 |
| Ростовская область | 0,30 | 0,20 | 59,57 | 0,40 | 0,20 | 67,71 |
| Северо-кавказский федеральный округ | 0,90 | 1,10 | 120,79 | 1,00 | 0,70 | 75,08 |
| Республика Дагестан | 999 999 999,00 | 0,10 | 999 999 999,00 | 999 999 999,00 | 0,10 | 999 999 999,00 |
| Республика Ингушетия | 2,30 | 2,30 | 98,62 | 2,60 | 2,70 | 103,21 |
| Чеченская Республика | 999 999 999,00 | — | — | 999 999 999,00 | 999 999 999,00 | 999 999 999,00 |
| Ставропольский край | 2,90 | 2,50 | 85,06 | 2,90 | 3,00 | 103,82 |
| Приволжский федеральный округ | 0,20 | 0,10 | 43,42 | 0,30 | 0,30 | 127,63 |
| Республика Татарстан | — | — | — | — | 1,70 | — |
| Саратовская область | 0,80 | 0,30 | 32,56 | 0,80 | 0,40 | 45,13 |
| Сибирский федеральный округ | 0,70 | 0,80 | 103,73 | 0,70 | 0,80 | 115,39 |
| Республика Алтай | 2,80 | 3,20 | 113,67 | 2,70 | 3,00 | 111,40 |
| Республика Тыва | 0,80 | 0,80 | 108,11 | 0,60 | 0,80 | 140,20 |
| Дальневосточный федеральный округ | 0,60 | — | — | 0,60 | — | — |
| Забайкальский край | 0,60 | — | — | 0,60 | — | — |
How to read this table
Indicators can be compared across different constituent entities as well as across time intervals within the year. The regional breakdown across twenty-seven rows highlights which districts or oblasts have a higher wool clip per head and which are below the national average. The final column allows for assessing the expected dynamics for the following year relative to current quarterly values
What is visible in these numbers
130 out of 150 possible values are filled (86.7%). Individual gaps occur: not all items were observed in all periods
More in the section Agriculture, hunting and forestry»
Period and application
Rosstat publishes these statistics to analyze livestock production efficiency in the large-scale agribusiness sector. The data is relevant for planning wool production volumes and assessing regional industry potential. Quarterly data and forecasts are useful for sheep farming specialists and agro-industrial holding representatives
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