Milk production volumes in large agricultural organizations are shown in the columns for 2024 and 2025. The table rows are categorized by territory, presenting data for the entire Russian Federation, the Volga and Central Federal Districts. This highlights differences in livestock productivity across various regions of the country. The two-year data covers enterprises outside the small business sector
Chart of gross milk yield in non-small business agricultural organizations for 2024–2025
Rosstat data for 2024–2025. Series: 162, period: 2. Breakdown: Russian Federation — Total; Russian Federation — Cattle milk; Russian Federation — Mare milk, tonnes; Central Federal District — Total; Central Federal District — Cattle milk; ... and others
Russian Federation — Total: the indicator increased from 15,444 to 16,236 in 2024–2025 — by 5.13%. Of the 25 largest series, 24 increased and 1 decreased
The row distinctions allow for comparing indicators at the national level and by key federal districts. Comparing data for the Russian Federation and the districts shows the share of total yield attributed to specific territories. A comparison of the 2024 and 2025 columns helps track changes in milk production volumes at large-scale enterprises
What is visible in these numbers
Five largest values: Russian Federation — Total (16,236), Russian Federation — Cattle milk (16,232), Central Federal District — Total (4,699), Central Federal District — Cattle milk (4,699), Voronezh Region — Total (868.6). The gap between the largest and smallest is 395.7 times. The top five account for 87% of the total across all positions — the distribution is heavily skewed toward the top
Observations are annual; there are 2 periods in total. 50 of 50 possible values (100%) are filled, meaning the table is almost entirely complete
This information is published as part of agricultural status bulletins. The data for 2024 and 2025 can be used to analyze the efficiency of large agricultural holdings and farms outside the small business sector. The information is presented as a cross-section for specific years rather than as long-term time series
How it is calculated
This year’s harvest and livestock numbers determine next year’s procurement prices: processors need such series earlier than supplier price lists
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