Sheep and goat population at the end of the year by category of agricultural producer
Twenty million nine hundred fifty‑nine thousand three hundred thirty‑seven units of sheep and goat stock were recorded in the Russian Federation at the end of 2021, and by the end of 2022 the figure was eight million two hundred forty‑seven thousand one hundred twenty‑one units. This table provides data for the country as a whole, federal districts and all subjects of the Russian Federation. Rows differ by geographic affiliation, allowing comparison of animal numbers in different regions for the two years
Dynamics of sheep and goat numbers in the regions of the Russian Federation for 2021 and 2022
Set in numbers
Rosstat data for 2021–2022. Series: 371, period: 2. Shown by items: RUSSIAN FEDERATION — value; RUSSIAN FEDERATION — Agricultural organizations; RUSSIAN FEDERATION — Household farms; RUSSIAN FEDERATION — Peasant (farm) households …; CENTRAL FEDERAL DISTRICT — value and others
Bryansk Region — Agricultural organizations: indicator grew from 0.61 to 1 000 million in 2021–2022 — by 1.6 billion times. Of the 25 largest series, 8 increased and 17 decreased
All table numbers are series: 371
How to read this table
Ninety‑five rows distribute the data by territorial attribute, starting with the overall figure for the Russian Federation and ending with specific oblasts, krais and republics. Comparison of values in adjacent columns shows the change in stock numbers in each region over the period 2021 to 2022. This structure helps identify which territories lead in sheep and goat breeding and assess the scale of the livestock sector in each individual subject of the country
What is visible in these numbers
Five largest values: Bryansk Region — Agricultural organizations (1 000 million), Bryansk Region — Peasant (farm) households (1 000 million), RUSSIAN FEDERATION — value (20 959), RUSSIAN FEDERATION — Household farms (9 618), RUSSIAN FEDERATION — Peasant (farm) households (8 247). Gap between largest and smallest — by 489.5 million times. The top five account for 100% of the total across all items — distribution is heavily skewed toward the top
Annual observations, with 2 observation periods in the dataset. There are 50 values in the table out of 50 possible, i.e. 100%, meaning the table is almost completely filled
The same indicator for other periods
These series cannot be stitched together Over the common period 2021 values diverge — Rosstat recalculated the indicator using a revised methodology. They cannot be combined into a single chart: a break would appear at the junction, which did not actually occur
| Indicator for 2021 | here | in the adjacent series | divergence |
|---|---|---|---|
| Российская федерация — значение | 20 959,3 | 20 959,3 | +0,0 |
| Российская федерация — Сельскохозяйственные организации | 3 115,7 | 3 115,7 | +0,0 |
| Российская федерация — Хозяйства населения | 9 617,6 | 9 617,6 | +0,0 |
| Российская федерация — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели | 8 226,1 | 8 226,1 | +0,0 |
| Центральный федеральный округ — значение | 1 003,4 | 1 003,4 | +0,0 |
| Центральный федеральный округ — Сельскохозяйственные организации | 219,9 | 219,9 | +0,0 |
| Центральный федеральный округ — Хозяйства населения | 608,9 | 608,9 | +0,0 |
| Центральный федеральный округ — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели | 174,6 | 174,6 | +0,0 |
| Белгородская область — значение | 68,0 | 68,0 | +0,0 |
| Белгородская область — Сельскохозяйственные организации | 8,3 | 8,3 | +0,0 |
| Белгородская область — Хозяйства населения | 55,9 | 55,9 | +0,0 |
| Белгородская область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели | 3,7 | 3,7 | +0,0 |
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
The information is current for assessing the state of livestock farming at the end of 2021 and 2022. The summary is prepared from Rosstat information and is useful for agribusiness specialists, analysts and agricultural researchers. Data are presented as an annual snapshot, allowing tracking of the sector’s condition in a regional breakdown for the specified period
How it is calculated
Sown area data show what will be abundant and what scarce several months before this is reflected on the shelf
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