The provided data shows the number of hectares occupied by winter barley in different parts of the country for 2023 and 2024. Table rows are categorized by territory: data is available for the entire Russian Federation, federal districts, and individual constituent entities. The information reflects the status of sown areas for this specific crop across two reporting periods
Chart of winter barley sown area in Russia, 2023–2024, units not specified
Rosstat data for 2023–2024. Rows: 136, periods: 2. Table rows: 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
Russian Federation — All categories of farms: the indicator fell from 696.3 to 616.5 for 2023–2024 — by 11.5%. Of the 24 largest rows, 10 increased, 14 decreased
Comparing annual indicators shows the dynamics of land use for winter barley by districts and regions. Users can compare 2023 and 2024 values to understand how areas changed at specific locations or on a national scale. The rows present total values for the Russian Federation as well as breakdowns by major administrative divisions
What is visible in these numbers
Five highest values: Russian Federation — All categories of farms (696.3), Southern Federal District — All categories of farms (400.5), North Caucasian Federal District — All categories of farms (277.7), Stavropol Krai — All categories of farms (212.6), Krasnodar Krai — All categories of farms (184). The gap between the highest and lowest is 174,070 times. The top five account for 84.2% of the total across all positions — the distribution is heavily skewed toward the top
Observations are annual, the dataset contains 2 periods. Of 50 possible values, 50 (100%) are filled; data gaps are virtually absent
Statistics are compiled based on electronic agricultural bulletins. The data is relevant for 2023 and 2024 and is intended for agronomists, economists, and industry representatives. Information on crop areas enables land resource analysis and agricultural planning in the regions
How it is calculated
This year’s harvest and livestock numbers determine next year’s procurement prices: processors need such rows earlier than supplier price lists
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