Number of breeding cattle at the end of the year, 2022–2023
2343182 head of pedigree cattle were in agricultural organizations in Russia at the end of 2022, and in 2023 this figure reached 2371337 head. The presented list contains data on the pedigree herd, excluding small businesses. Rows are broken down by federal districts and regions, as well as by animal categories: total population, cows excluding animals for fattening and grazing, and young stock excluding calves under one year
Chart of pedigree cattle population in agricultural organizations from 2022 to 2023, head
Set in numbers
Rosstat data for 2022–2023. Rows: 399, periods: 2. Breakdown: Russian Federation — Total; Russian Federation — Cows (excluding cows for fattening and grazing…; Russian Federation — Young stock (excluding calves under 1 year); Russian Federation — Heifers; Russian Federation — Calves under 1 year and others
Russian Federation — Total: the indicator increased from 2.3 million to 2.4 million for 2022–2023 — by 1.2%. Of the 25 largest rows, 11 increased, 14 decreased
All table numbers are series: 399
How to read this table
Comparison of regional indicators helps identify the concentration of pedigree livestock across various subjects of the country. Each row contains a detailed breakdown by animal groups, allowing for the assessment of herd structure dynamics over two years. Differences between regional rows reflect the specialization of agricultural organizations, and the comparison of 2022 and 2023 data shows changes in pedigree livestock numbers at the level of individual oblasts, krais, and republics, as well as for Russia as a whole
What is visible in these numbers
Top five values: Russian Federation — Total (2.4 million), Russian Federation — Cows (excluding c… (1 million), Russian Federation — Calves under 1 year (735,234), Central Federal District — Total (721,793), Russian Federation — Young stock (excluding calves under 1 year… (584,107). The gap between the highest and lowest is 549.2 times. The top five account for 78.5% of the total across all positions — the distribution is heavily skewed toward the top
Observations are annual, with 2 observation periods in the dataset. There are 50 values in the table out of 50 possible, which is 100%; data gaps are virtually absent
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 — Всего | 2 371 337,0 | 2 371 311,0 | −26,0 |
| Российская Федерация — Коровы (без коров на откорме и нагуле) | 1 043 749,0 | 1 043 749,0 | +0,0 |
| Российская Федерация — Молодняк (кроме телят до 1 года) | 584 107,0 | 584 081,0 | −26,0 |
| Российская Федерация — Нетели | 264 159,0 | 264 168,0 | +9,0 |
| Российская Федерация — Телята до 1 года | 735 234,0 | 735 234,0 | +0,0 |
| Центральный федеральный округ — Всего | 705 607,0 | 705 607,0 | +0,0 |
| Центральный федеральный округ — Коровы (без коров на откорме и нагуле) | 316 279,0 | 316 279,0 | +0,0 |
| Центральный федеральный округ — Молодняк (кроме телят до 1 года) | 162 572,0 | 162 572,0 | +0,0 |
| Центральный федеральный округ — Нетели | 82 361,0 | 82 361,0 | +0,0 |
| Центральный федеральный округ — Телята до 1 года | 226 271,0 | 226 271,0 | +0,0 |
| Белгородская область — Всего | 63 684,0 | 63 684,0 | +0,0 |
| Белгородская область — Коровы (без коров на откорме и нагуле) | 30 278,0 | 30 278,0 | +0,0 |
The same indicator in other breakdowns (1)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
Information is updated annually and contained in electronic bulletins on the state of agriculture. This data is useful for analysts, agricultural sector specialists, and representatives of relevant agencies to assess the state of pedigree livestock breeding. Rosstat publishes data by territory, allowing for the tracking of industry development in specific subjects and their comparison over the specified two-year period
How it is calculated
Crop areas show what will be abundant and what will be scarce several months before this is reflected on the shelf
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