Yield of sugar beet seed crops by region
These data show the sugar beet seed yield per unit area for 2020 and 2021. The rows differ by geographic coverage, providing indicators for Russia as a whole, the Central Federal District, and the Voronezh Oblast. The data covers all categories of farms recorded in the statistics for the specified two-year period
Chart of sugar beet seed yield in 2020–2021 for Russia, the Central Federal District, and the Voronezh Oblast
Set in numbers
Coverage: 6 series, 2020 through 2021, 2 reporting periods. 12 values in total.
Between 2020 and 2021 “Российская федерация — хозяйства всех категорий” rose from 22.8 to 35.7 — 56.6%.
All table numbers are series: 6
| Series | 2020 | 2021 |
|---|---|---|
| Российская федерация — хозяйства всех категорий | 22,80 | 35,70 |
| Центральный федеральный округ — хозяйства всех категорий | 3,20 | 8,00 |
| Воронежская область — хозяйства всех категорий | 3,20 | 8,00 |
| Южный федеральный округ — хозяйства всех категорий | 23,40 | 37,60 |
| Республика Крым — хозяйства всех категорий | 33,00 | 999 999 999,00 |
| Краснодарский край — хозяйства всех категорий | 14,90 | 999 999 999,00 |
How to read this table
Comparing the rows illustrates productivity differences across national, federal district, and regional scales. In Russia, the yield changed from 22.8 in 2020 to 35.7 in 2021, while local dynamics can be observed for the Voronezh Oblast and the Central Federal District. The various administrative levels allow for a comparison of agricultural efficiency at both federal and regional levels
What is visible in these numbers
The largest value belongs to “Republic of Crimea — farms of all categories” — 1,000 million; the smallest is “Voronezh Oblast — all categories of farms” at 8. The gap between them is 125 million-fold.
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
The data is published as part of agricultural status bulletins. This information is useful for planning sown areas and assessing seed production potential. The statistics cover all categories of farms and are suitable for analyzing the agricultural sector
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