Melon crop yield per unit area is presented by constituent entities for 2021 and 2022. The table contains 71 rows, including indicators for the entire Russian Federation, individual federal districts, and specific oblasts. Comparing these series allows for observing differences in agricultural productivity between central regions and the country as a whole
Chart of food melon crop yield by Russian regions for 2021 and 2022
Rosstat data for 2021–2022. Rows: 240, periods: 2. Shown by positions: Russian Federation — All categories of farms; Central Federal District — All categories of farms; Belgorod Region — All categories of farms; Bryansk Region — All categories of farms; Voronezh Region — All categories of farms and others
Astrakhan Region — All categories of farms: the indicator fell from 376.7 to 360.2 for 2021–2022 — by 4.37%. Of the 25 largest rows, 15 increased, 10 decreased
The rows in the list are categorized by territory, from the total for Russia to the level of federal districts and individual oblasts. By comparing these indicators, one can assess how a specific region, such as Belgorod Oblast, performs compared to the national or district average. This helps identify the most productive zones for melon cultivation
What is visible in these numbers
Five highest values: Astrakhan Region — All categories of farms (376.7), Republic of Dagestan — All categories of farms (275.5), Moscow Region — All categories of farms (255.8), Tambov Region — All categories of farms (230.7), North Caucasian Federal District — All categories of farms (228.8). The top five account for 31.9% of the total sum across all positions
Observations are annual and cover 2 periods. Cells with numbers: 50 out of 50 (100%) — almost no empty cells remain
Statistics for 2021 and 2022 are published in electronic versions of agricultural bulletins. The data is relevant for agronomists, agricultural sector investors, and food security planning specialists. Information is regularly updated by Rosstat based on annual field and farm surveys
How it is calculated
This year’s harvest and livestock numbers determine next year’s procurement prices: processors need such rows earlier than the supplier’s price list
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