The ranking of regions and districts by agricultural production volumes for 2024 is reflected in the position of each row. Columns indicate the rank of specific constituent entities or federal districts across three categories: total agricultural production, crop production, and livestock production. The list contains 92 rows, allowing for a comparison of different territories' performance in the agricultural sector for the year
Table of ranks for constituent entities and federal districts by agricultural, crop, and livestock production in 2024
Rosstat data. Series: 92, indicators: 3. Breakdown: Central Federal District; Belgorod Oblast; Bryansk Oblast; Vladimir Oblast; Voronezh Oblast and others
Five largest values: Moscow (84), Nenets Autonomous Okrug (84), Republic of Karelia (77), Komi Republic (73), Arkhangelsk Oblast (without autonomous okrug) (73). The gap between the largest and smallest is 84 times. The top five account for 36.9% of the total across all positions
Regional comparisons can be made across various product categories, as crop production rankings may differ significantly from livestock production rankings. Rows include both individual constituent entities and entire federal districts, enabling an assessment of a territory's contribution to the national total. These indicators identify leading entities in the production of feed, grain, or meat based on their ranking positions
What is visible in these numbers
The dataset includes indicators: Agricultural products; Crop production; Livestock production
There are 75 values in the table out of 75 possible, which is 100% — there are virtually no missing values
More in the section Bulletins on the state of agriculture (electronic versions)»
Data is presented as a single snapshot for 2024 without time-series dynamics. Information from Rosstat bulletins assists in assessing territorial specialization and its importance for food security. The data is useful for agricultural agencies, investors, and those analyzing the structure of agricultural production in Russia
How it is calculated
Data on sown areas, yields, and livestock numbers are used for planning raw material procurement, crop assessment, and food price forecasting
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