This data for 2021 and 2022 shows the land area allocated to soybean cultivation across various federal subjects. The list contains 67 rows, including the total for the Russian Federation, data by federal districts, and individual republics, territories, and regions. The information allows for comparing the scale of production of this crop in different parts of the country over two years
Chart of soybean sown areas by Russian regions for 2021 and 2022
Rosstat data for 2021–2022. Series: 241, period: 2. Breakdown: Russian Federation — all categories of farms; Central Federal District — all categories of farms; Belgorod Oblast — all categories of farms; Bryansk Oblast — all categories of farms; Voronezh Oblast — all categories of farms and others
Russian Federation — all categories of farms: the indicator rose from 3,068 to 3,507 in 2021–2022 — by 14.3%. Of the 25 largest series, 22 increased, 3 decreased
The rows in the list vary in territorial coverage, ranging from the national total for Russia to specific subjects such as the Republic of Adygea or the Southern Federal District. By comparing the 2021 and 2022 column values, one can track changes in sown areas in each specific location. This helps identify regions with the highest soybean concentration
What is visible in these numbers
Five highest values: Russian Federation — all categories of farms (3,507), Central Federal District — all categories of farms (1,434), Kursk Oblast — all categories of farms (318.8), Belgorod Oblast — all categories of farms (305), Southern Federal District — all categories of farms (233.2). The gap between the highest and lowest is 15,379 times. The top five account for 83.7% of the total for all positions — the distribution is heavily skewed toward the top
Observations are annual, with 2 observation periods in the dataset. There are 50 values in the table out of 50 possible, which is 100%, meaning the table is almost completely filled
Data is collected based on electronic agricultural bulletins. The figures cover two calendar years and encompass the entire country. This information is useful for agronomists, agribusiness representatives, and those analyzing the structure of crop production in Russia
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
Did you notice an error in this table? The parser is wrong, and most often one correction fixes many pages
Report an errorTypo is easier this way: highlight it and press
Ctrl + Enter