Livestock and poultry production in slaughter weight across the Far North and equivalent localities in Russia. The list includes specific districts and regions, such as the Altai Republic and the Republic of Buryatia, enabling comparison of production volumes across different northern territories. The statistics cover 2023 and 2024 and reflect current agricultural sector performance in these zones
Chart of livestock and poultry production for slaughter by Far North districts, 2023–2024
Rosstat data for 2023–2024. Rows: 80, periods: 2. Table rows: Far North and equivalent areas of Russia…; Far North and equivalent areas of Russia…; Far North and equivalent areas of Russia…; Altai Republic — agricultural organizations; Altai Republic — households and others
Far North and equivalent areas of the Russian Federation: the indicator increased from 58 582 to 59 539 for 2023–2024 — by 1.63%. Of the 25 largest rows, 9 increased, 16 decreased
Rows are categorized by specific districts and constituent entities, allowing for comparisons of livestock farming levels across different Far North locations. Columns provide data for two years, showing changes in production volumes between 2023 and 2024. The data enables assessment of which territories contribute most to the total production in slaughter weight
What is visible in these numbers
Top five values: Far North and equivalent areas of Russia… (59 539), Far North and equivalent areas of Russia… (41 243), Komi Republic — agricultural organizations (21 884), Far North and equivalent areas of Russia… (18 179), Republic of Sakha (Yakutia) — households (11 771). The gap between the highest and lowest is 29 934 times. The top five account for 78.6% of the total across all items — the 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%; data gaps are virtually absent
Agricultural performance analytics for northern regions are based on these livestock indicators. The data is useful for monitoring production under specific climatic conditions. The information is presented as a two-year calendar period snapshot
How it is calculated
Sown areas show what will be abundant and what scarce several months before this is reflected on the shelf
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