In 2019, each constituent entity and federal district held a specific rank in total agricultural output. The rows cover 92 positions, including federal districts and individual regions, while the columns show rankings for total agricultural output, crop production, and livestock production. The Central Federal District ranks first across all three indicators, and the remaining rows allow for a comparison of each region's position within the country
Table showing the ranking of regions and federal districts by agricultural output, crop production, and livestock production for 2019
Rosstat data. Rows: 92, indicators: 3. Shown by positions: Central Federal District; Belgorod Oblast; Bryansk Oblast; Vladimir Oblast; Voronezh Oblast and others
Five highest values: Nenets Autonomous Okrug (84), Moscow (81), Republic of Karelia (78), Republic of Komi (75), Arkhangelsk Oblast (excluding the autonomous okrug) (74). The gap between the highest and lowest is 84 times. The top five account for 36.9% of the total for all positions
Indicators can be compared across different sectors of the agro-industrial complex. The columns show the rankings of federal districts and constituent entities for total output, crop production, and livestock production. This highlights regions with more developed fodder or grain production versus those leading in meat and dairy sectors. The differences between rows illustrate the regional hierarchy within the country for each of these sectors
What is visible in these numbers
The set contains the following indicators: Agricultural production; Crop production; Livestock production
Of 75 possible values, 75 (100%) are filled — almost no empty cells remain
More in the section Bulletins on the state of agriculture (electronic versions)»
Agricultural status bulletins include this 2019 snapshot. The data is relevant for analyzing the structure of the agro-industrial complex at a specific point in time. This information is useful for agricultural specialists, economists, and anyone studying the distribution of production capacities across Russia's regions
How it is calculated
Sown areas show what will be in abundance and what will be scarce several months before this is reflected on the shelf
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