Livestock offspring in agricultural organizations (excluding small businesses)
The indicator for the Russian Federation was 3852.135 units in 2022, and in 2023 it changed to 13.844. The data covers agricultural organizations that are not small enterprises and is distributed across 87 rows. It includes data for both the country as a whole and individual federal districts and constituent entities, such as the Tuva Republic or the Siberian Federal District. The information is presented for two years, allowing for a short-term assessment of the industry's status
Livestock breeding trends in Russia's large agricultural organizations by region for 2022 and 2023
Set in numbers
Rosstat data for 2022–2023. Series: 261, period: 2. Breakdown by items: Russian Federation — Sows, main and tested; Russian Federation — of which tested sows; Russian Federation — Camels, heads; Russian Federation — Reindeer; Russian Federation — Mares and others
Russian Federation — Sows, main and tested: the indicator increased from 3,852 to 3,961 in 2022–2023 — by 2.82%. Out of 24 largest rows, 15 increased, 9 decreased
All table numbers are series: 261
How to read this table
Rows are categorized by territory, allowing for the comparison of specific regional indicators with national values or federal district data. Each row corresponds to an individual constituent entity or a total for the country. Comparing 2022 and 2023 values allows for observing changes in livestock breeding performance in large-scale farms, excluding small businesses which are not included in the statistical report
What is visible in these numbers
Five highest values: Russian Federation — Sows, main and … (3,961), Central Federal District — Sows, mai… (2,441), Russian Federation — of which tested sows … (756.2), Belgorod Region — Sows, main and … (689.9), Central Federal District — of which tested … (429.4). The gap between the highest and lowest is 495,115 times. The top five account for 82.2% of the total across all items — the distribution is heavily skewed toward the top
Observations are annual and cover 2 periods. Cells with numbers: 50 out of 50 (100%) — almost no empty cells remain
The same indicator for other periods
These series cannot be stitched together Over the common period 2023 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 2023 | here | in the adjacent series | divergence |
|---|---|---|---|
| Российская Федерация — Свиноматки основные и проверяемые | 3 960,9 | 3 960,9 | +0,0 |
| Российская Федерация — из них проверяемые свиноматки | 756,2 | 756,2 | +0,0 |
| Российская Федерация — Верблюдицы, голов | 373,0 | 373,0 | +0,0 |
| Российская Федерация — Северные олени | 221,9 | 221,9 | +0,0 |
| Российская Федерация — Кобылы | 13,8 | 13,8 | +0,0 |
| Центральный федеральный округ — Свиноматки основные и проверяемые | 2 440,9 | 2 440,9 | +0,0 |
| Центральный федеральный округ — из них проверяемые свиноматки | 429,4 | 429,4 | +0,0 |
| Центральный федеральный округ — Кобылы | 0,5 | 0,5 | +0,0 |
| Белгородская область — Свиноматки основные и проверяемые | 689,9 | 689,9 | +0,0 |
| Белгородская область — из них проверяемые свиноматки | 158,9 | 158,9 | +0,0 |
| Белгородская область — Кобылы | 0,1 | 0,1 | +0,0 |
| Брянская область — Свиноматки основные и проверяемые | 202,7 | 202,7 | +0,0 |
The same indicator in other breakdowns (1)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
Data is updated as Rosstat releases electronic bulletins on the state of agriculture. The 2022 and 2023 data is useful for agricultural sector analysts, livestock specialists, and government officials involved in planning the development of livestock complexes. The table contains up-to-date information on the production results of the country's large agricultural organizations, excluding small enterprises
How it is calculated
Data on sown areas, yield and livestock are used in planning raw material procurement, crop assessment and forecasting food prices
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