Yield of perennial grass seeds (uncovered), 2020–2021
Perennial non-gramineous grass seed yield per unit area in large agricultural organizations for 2020–2021. The list contains 48 rows, including data for Russia as a whole, federal districts, and specific regions, such as Voronezh Oblast. This enables comparison of productivity across territories and assessment of regional disparities. The statistics cover non-small enterprises and are presented on an annual basis
Chart of perennial non-gramineous grass seed yield, 2020–2021
Set in numbers
Rosstat data for 2020–2021. Series: 48, periods: 2. Breakdown by items: RUSSIAN FEDERATION; CENTRAL FEDERAL DISTRICT; Voronezh Oblast; Kursk Oblast; Oryol Oblast and others
Kursk Oblast: the indicator grew from 0.5 to 1 000 million for 2020–2021 — by 2 billion times. Of the 11 largest series, 5 increased, 6 decreased
All table numbers are series: 48
How to read this table
The rows are categorized by territory, ranging from national data to specific federal districts and constituent entities. Comparing these series shows how indicators for Voronezh Oblast or other regions relate to the average levels for the central part of the country or the Russian Federation as a whole. Differences in the series values reflect the specifics of grass cultivation under varying climatic and economic conditions
What is visible in these numbers
Five largest values: Kursk Oblast (1 000 million), Oryol Oblast (1 000 million), Tver Oblast (1 000 million), NORTH-WESTERN FEDERAL DISTRICT (1 000 million), Republic of Crimea (1 000 million). The gap between the largest and smallest is 416.7 million times. The top five leaders account for 26.3% of the total across all items
Observations are annual and cover 2 periods. Cells with numbers: 50 out of 50 (100%), meaning the table is almost entirely filled
The same indicator for other periods
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
Two-year data are published annually as part of agricultural bulletins. This information is relevant for agronomists, agribusiness executives, and crop production planners. The data helps analyze the efficiency of land use for perennial grasses in the country's large-scale enterprises
How it is calculated
This year's harvest and livestock determine next year's procurement prices: a processor needs such series earlier than a supplier's price list
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