This 2022–2023 statistics provides data on perennial grass yield per unit area in non-small business agricultural organizations. The rows are categorized by territory, presenting data for the Russian Federation, federal districts, and individual regions. This information is used to assess land productivity across different parts of the country over the last two years
Chart of perennial grass seed yield by region for 2022–2023
Rosstat data for 2022–2023. Series: 60, periods: 2. Shown by items: Russian Federation; Central Federal District; Belgorod Oblast; Bryansk Oblast; Voronezh Oblast and others
North Caucasian Federal District: the indicator decreased from 7.8 to 5.2 for 2022–2023 — by 33.3%. Of the 25 largest series, 10 increased and 15 decreased
Regional comparisons are possible because the sixty-row list includes both national totals and data for specific constituent entities. Users can compare Central Federal District indicators with those of the Belgorod Region or track overall trends for the Russian Federation. The row breakdown allows for assessing which districts and regions produce higher grass yields
What is visible in these numbers
Five largest values: North Caucasian Federal District (7.8), Stavropol Krai (7.77), Yaroslavl Oblast (7.13), Belgorod Oblast (6.58), Bryansk Oblast (5.45). The gap between the largest and smallest is 5.74 times. The top five account for 41.6% of the total across all items
Annual observations, 2 periods in the set. Of 50 possible values, 50 (100%) are filled, meaning the table is almost entirely complete
This statistics covers the 2022–2023 period and is published as part of electronic bulletins on the state of agriculture. The information is relevant for agricultural enterprises and specialists involved in planning seed crop areas. Rosstat data are updated regularly and reflect the actual situation in large-scale agricultural organizations
How it is calculated
Data on sown areas, yields, and livestock are used for planning raw material procurement, crop assessment, and food price forecasting
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