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Yield of sugar beet in all categories of agricultural producers, 2015–2022

· dynamics annual · rows: 31 · periods: 6 · section: Agriculture (в России)

Sugar beet yield in centners per hectare of harvested area across all farm categories from 2015 to 2022. The list includes data for Russia as a whole, the Central Federal District, and the Belgorod Region. The rows are categorized by geographical coverage, allowing for a comparison of national performance against specific district and regional results. The indicator is measured in centners per hectare

shown 25 largest of 31

Chart of sugar beet yield for Russia and regions from 2015 to 2022, centners per hectare

100 200 300 400 500 600 700 2015 2018 2019 2020 2021 2022
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Set in numbers

Rosstat data for 2015–2022. Series: 31, periods: 6. Shown by positions: Russian Federation; Central Federal District; Belgorod Region; Voronezh Region; Kursk Region and others

Stavropol Krai: the indicator rose from 518 to 637.8 over 2015–2022 — by 23.1%. The highest value is 637.8 (2022), the lowest is 330.6 (2020). This is an average annual growth of 3.02%. Up to 2020 the change was −36.2%, after that +92.9%. Of the 25 largest series, 25 increased, 0 decreased

All table numbers are series: 31
Series 201520182019202020212022
Российская Федерация 388,00 380,60 479,60 370,00 414,60 486,75
Центральный федеральный округ 391,00 400,70 486,40 370,10 393,60 486,00
Белгородская область 379,00 441,70 486,40 365,70 432,90 537,61
Брянская область — 479,00 402,50 384,30 332,60 364,52
Воронежская область 437,00 394,90 509,30 308,60 373,70 520,91
Курская область 352,00 464,00 539,30 455,70 396,70 490,00
Липецкая область 380,00 348,30 455,40 364,60 372,40 472,36
Орловская область 333,00 403,90 462,60 408,20 407,50 415,78
Рязанская область 429,00 385,70 517,80 372,60 337,40 467,65
Тамбовская область 429,00 377,90 457,20 351,70 414,90 467,65
Тульская область 367,00 406,00 522,40 457,10 446,50 521,28
Южный федеральный округ 449,00 376,00 511,70 336,50 517,00 567,45
Краснодарский край 466,00 385,60 521,40 344,10 519,90 572,06
Ростовская область 311,00 306,50 434,80 262,10 — 526,16
Северо-Кавказский федеральный округ 491,00 489,70 507,30 333,80 544,80 607,00
Республика Ингушетия — — — — — 156,76
Карачаево-Черкесская Республика 404,00 489,40 409,30 356,00 397,40 422,51
Чеченская Республика 292,00 — 164,90 — 157,10 —
Ставропольский край 518,00 489,70 534,90 330,60 599,70 637,84
Приволжский федеральный округ 311,00 312,00 424,40 390,70 326,40 384,33
Республика Башкортостан 259,00 317,50 381,30 450,20 269,80 327,04
Республика Мордовия 368,00 329,00 475,10 372,50 342,70 374,18
Республика Татарстан 356,00 329,50 441,30 436,80 263,20 387,41
Чувашская Республика 262,00 301,10 264,20 337,20 380,00 391,69
Нижегородская область 166,00 256,00 343,90 286,80 282,20 291,27
Оренбургская область 279,00 — — — — —
Пензенская область 325,00 300,60 445,40 358,10 411,80 441,36
Саратовская область 312,00 352,10 462,80 359,30 513,40 494,47
Ульяновская область 302,00 256,30 384,90 345,40 — 357,24
Сибирский федеральный округ 370,00 391,70 483,00 521,20 509,30 488,37
Алтайский край 370,00 391,70 483,40 521,20 509,30 488,37

How to read this table

The differences between the rows allow for an assessment of the productivity gap between the country, a federal district, and a specific subject. One can track how Belgorod Region figures compare to the averages for the Central District and the Russian Federation. Data is presented annually, providing insight into harvest trends over the specified period

What is visible in these numbers

The five highest values: Stavropol Krai (637.8), North Caucasian Federal District (607), Krasnodar Krai (572.1), Southern Federal District (567.5), Kursk Region (539.3). The top five account for 23.5% of the total sum across all positions

Observations are annual, the dataset contains 6 periods. Of 150 possible values, 150 (100%) are filled, meaning the table is almost entirely complete

The same indicator for other periods

More in the section Agriculture»

Period and application

Sugar beet yield data is updated annually. The statistics cover all farm categories and are useful for analyzing agricultural efficiency, planning sugar production volumes, and evaluating the specialization of agricultural regions

How it is calculated

Source disclaimer: Data are not published to ensure confidentiality of primary statistical data obtained from organisations and individual entrepreneurs, in accordance with Federal Law No. 282-FZ of 29.11.2007 "On…"

1) Данные не публикуются в целях обеспечения конфиденциальности первичных статистических данных, полученных от организаций и индивидуальных предпринимателей, в соответствии с Федеральным законом от 29.11.2007 No 282-ФЗ "Об официальном статистическом учете и системе государственной статистики в Российской Федерации" (п.5 ст.4, ч.1 ст.9).