Roschart — Russian statistics in charts

Official Rosstat statistics turned into charts instead of CSV and XLSX

RU

Yield of table beets in all categories of agricultural producers by region

· dynamics annual · rows: 428 · periods: 2 · section: Bulletins on the state of agriculture (electronic versions)

The years 2021 and 2022 are presented in this table as table beet yield indicators for each constituent entity of the country. Rows are categorized by administrative division, ranging from Russian Federation totals to individual regions, such as Belgorod Oblast. This structure allows for easy comparison of harvest efficiency across different parts of the country. The data covers all categories of farms, including peasant farms, private household plots, and large agribusinesses, providing a comprehensive overview of the agricultural situation for the specified two-year period

shown 25 largest of 428
unchanged Bryansk Region — all categories of farms · 2022: 271.0 · 2021: 201.0 · +70.0 Bryansk Region — all categories of farms +70.0 Kursk Oblast — All categories of farms · 2022: 225.1 · 2021: 171.3 · +53.8 Kursk Oblast — All categories of farms +53.8 Kaluga Region — all categories of farms · 2022: 249.4 · 2021: 210.7 · +38.7 Kaluga Region — all categories of farms +38.7 Belgorod Region — all categories of farms · 2022: 190.0 · 2021: 164.0 · +26.0 Belgorod Region — all categories of farms +26.0 Smolensk Oblast — All categories of farms · 2022: 283.2 · 2021: 260.2 · +23.0 Smolensk Oblast — All categories of farms +23.0 Ryazan Region — all categories of farms · 2022: 240.6 · 2021: 224.1 · +16.5 Ryazan Region — all categories of farms +16.5 Northwestern Federal District — All categories of farms · 2022: 275.4 · 2021: 267.1 · +8.34 Northwestern… categories of farmsNorthwestern Federal District — All categories of farms +8.34 Moscow Region — all categories of farms · 2022: 353.3 · 2021: 346.8 · +6.50 Moscow Region — all categories of farms +6.50 Arkhangelsk Region — all categories of farms · 2022: 240.0 · 2021: 233.9 · +6.11 Arkhangelsk… categories of farmsArkhangelsk Region — all categories of farms +6.11 Nenets Autonomous Okrug (Arkhangelsk Region) — all categories of farms · 2022: 163.2 · 2021: 158.8 · +4.36 Nenets Autonomous… categories of farmsNenets Autonomous Okrug (Arkhangelsk Region) — all categories of farms +4.36 Russian Federation — All categories of farms · 2022: 251.1 · 2021: 247.9 · +3.22 Russian Federation… categories of farmsRussian Federation — All categories of farms +3.22 Tambov Region — all categories of farms · 2022: 269.0 · 2021: 268.8 · +0.22 Tambov Region — all categories of farms +0.22 Central Federal District — All categories of farms · 2022: 266.0 · 2021: 266.9 · −0.91 Central Federal… categories of farmsCentral Federal District — All categories of farms −0.91 Orel Oblast — All categories of farms · 2022: 251.0 · 2021: 252.2 · −1.19 Orel Oblast — All categories of farms −1.19 Moscow — all categories of farms · 2022: 174.1 · 2021: 178.7 · −4.56 Moscow — all categories of farms −4.56 Ivanovo Oblast — All categories of farms · 2022: 251.7 · 2021: 261.7 · −9.96 Ivanovo Oblast — All categories of farms −9.96 Yaroslavl Region — all categories of farms · 2022: 269.6 · 2021: 279.8 · −10.2 Yaroslavl Region — all categories of farms −10.2 Republic of Karelia — all categories of farms · 2022: 254.2 · 2021: 266.7 · −12.5 Republic of… categories of farmsRepublic of Karelia — all categories of farms −12.5 Kostroma Region — all categories of farms · 2022: 251.8 · 2021: 272.6 · −20.8 Kostroma Region — all categories of farms −20.8 Tula Region — all categories of farms · 2022: 345.1 · 2021: 366.1 · −21.0 Tula Region — all categories of farms −21.0 Tver Region — all categories of farms · 2022: 237.5 · 2021: 260.8 · −23.3 Tver Region — all categories of farms −23.3 Voronezh Region — all categories of farms · 2022: 163.0 · 2021: 212.4 · −49.4 Voronezh Region — all categories of farms −49.4 Vladimir Region — all categories of farms · 2022: 156.5 · 2021: 209.0 · −52.5 Vladimir Region — all categories of farms −52.5 Lipetsk Region — all categories of farms · 2022: 201.1 · 2021: 269.1 · −68.0 Lipetsk Region — all categories of farms −68.0 Republic of Komi — All categories of farms · 2022: 294.9 · 2021: 365.1 · −70.2 Republic of Komi — All categories of farms −70.2
how it will look

Set in numbers

Rosstat data for 2021–2022. Rows: 428, periods: 2. Breakdown: 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; Vladimir Region — all categories of farms and others

Tula Region — all categories of farms: the indicator fell from 366.1 to 345.1 for 2021–2022 — by 5.74%. Of the 25 largest rows, 12 increased and 13 decreased

All table numbers are series: 428
Series 20212022
Приморский край — из них: малые предприятия — 184,07
Приморский край — Хозяйства населения — 124,50
Приморский край — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 221,66
Приморский край — Хозяйства всех категорий 185,20 187,86
Хабаровский край — Сельскохозяйственные организации — 44,00
Хабаровский край — из них: малые предприятия — 44,00
Хабаровский край — Хозяйства населения — 218,13
Хабаровский край — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 190,11
Хабаровский край — Хозяйства всех категорий 207,30 203,82
Амурская область — Сельскохозяйственные организации — 49,25
Амурская область — Хозяйства населения — 181,00
Амурская область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 204,48
Амурская область — Хозяйства всех категорий 176,60 185,63
Магаданская область — Сельскохозяйственные организации — 97,01
Магаданская область — из них: малые предприятия — 97,01
Магаданская область — Хозяйства населения — 246,48
Магаданская область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 82,98
Магаданская область — Хозяйства всех категорий 121,50 116,87
Сахалинская область — Сельскохозяйственные организации — 376,79
Сахалинская область — из них: малые предприятия — 225,00
Сахалинская область — Хозяйства населения — 165,30
Сахалинская область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 291,70
Сахалинская область — Хозяйства всех категорий 320,00 306,52
Еврейская автономная область — Хозяйства населения — 145,50
Еврейская автономная область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 139,61
Еврейская автономная область — Хозяйства всех категорий 173,20 144,39
Чукотский автономный округ — Хозяйства населения — 175,00
Чукотский автономный округ — Хозяйства всех категорий 140,00 175,00

How to read this table

Selecting a row allows for finding a specific region or federal district to compare with national indicators. The table contains 95 rows, with data grouped by territorial principle to help track yield differences between neighboring constituent entities. Columns clearly display values for each year, enabling an assessment of agricultural sector performance changes in a specific region over a short period. Information is presented in a comparable format for all ninety-five territories, facilitating the analysis of regional disparities

What is visible in these numbers

Five highest values: Tula Region — all categories of farms (366.1), Komi Republic — all categories of farms (365.1), Moscow Region — all categories of farms (353.3), Smolensk Region — all categories of farms (283.2), Yaroslavl Region — all categories of farms (279.8). The top five account for 25.5% of the total for all entries

Observations are annual; total periods: 2. All 50 of 50 possible values filled (100%) — almost no empty cells remain

The same indicator for other periods

More in the section Bulletins on the state of agriculture (electronic versions)»

Period and application

Rosstat data updates for 2021 and 2022 allow agronomists, analysts, and agricultural officials to study crop productivity dynamics. This information is useful for assessing regional specifics of table beet cultivation and planning future production volumes based on current yield indicators in each federal district

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

Did you notice an error in this table? The parser is wrong, and most often one correction fixes many pages

Report an error Typo is easier this way: highlight it and press Ctrl + Enter