In 2020, the position of each constituent entity and federal district in the agricultural sector was determined across three key areas: total agricultural output, crop production, and livestock production. The ranking highlights which territories led in food production and which held less significant positions within the national economy. Rows include both federal districts and individual regions, allowing for a comparison between the scale of entire districts and the performance of specific regions
Ranking of regions and federal districts by agricultural, crop, and livestock production for 2020
Rosstat data. Rows: 92, indicators: 3. Shown by positions: Central Federal District; Belgorod Region; Bryansk Region; Vladimir Region; Voronezh Region and others
Five highest values: Nenets Autonomous Okrug (84), Moscow (82), Republic of Karelia (77), Arkhangelsk Region (excluding the autonomous okrug) (74), Republic of Komi (73). The gap between the highest and lowest is 84 times. The top five account for 36.8% of the total across all positions
Positions can be compared using the columns indicating the rank. Each row represents a distinct territorial unit, while the columns allow for assessing regional specialization in crop or livestock production. A lower value in a column indicates a higher national rank for that specific type of production. This structure facilitates the rapid identification of industry leaders among the 92 entities listed
What is visible in these numbers
Table columns: Agricultural production; Crop production; Livestock production
There are 75 values in the table out of 75 possible, which is 100%, meaning the table is almost completely filled
More in the section Bulletins on the state of agriculture (electronic versions)»
The data is published as part of agricultural status bulletins. The 2020 information is relevant for analyzing agricultural sector outcomes and can be used by economists, agro-industrial specialists, and government agencies for reporting purposes
How it is calculated
The harvest and livestock numbers of this year determine the procurement prices of the next: processors need such series earlier than the supplier's price list
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