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Official Rosstat statistics turned into charts instead of CSV and XLSX

RU

Sown areas of perennial grasses of previous years' sowing by regions

· dynamics annual · rows: 427 · periods: 2 · section: Bulletins on the state of agriculture (electronic versions)

The sown area of perennial grasses across the Russian Federation was 5854.87407 thousand hectares in 2022, compared to 8636.18034 the previous year. This reference provides data for all regions and federal districts, allowing for a comparison of sowings across different parts of the country over two years. Each row corresponds to a specific constituent entity or district, with the national total at the beginning of the list, enabling tracking of land use dynamics for forage crops across all categories of farms

shown 25 largest of 427
unchanged Kostroma Region — all categories of farms · 2022: 119.3 · 2021: 113.8 · +5.45 Kostroma Region — all categories of farms +5.45 Belgorod Region — all categories of farms · 2022: 76.6 · 2021: 75.7 · +0.90 Belgorod Region — all categories of farms +0.90 Kursk Oblast — All categories of farms · 2022: 23.6 · 2021: 24.0 · −0.32 Kursk Oblast — All categories of farms −0.32 Republic of Karelia — all categories of farms · 2022: 17.0 · 2021: 17.6 · −0.67 Republic of… categories of farmsRepublic of Karelia — all categories of farms −0.67 Republic of Komi — All categories of farms · 2022: 20.9 · 2021: 22.0 · −1.13 Republic of Komi — All categories of farms −1.13 Moscow — all categories of farms · 2022: 0.94 · 2021: 2.28 · −1.34 Moscow — all categories of farms −1.34 Tambov Region — all categories of farms · 2022: 18.3 · 2021: 19.9 · −1.53 Tambov Region — all categories of farms −1.53 Lipetsk Region — all categories of farms · 2022: 21.7 · 2021: 23.4 · −1.71 Lipetsk Region — all categories of farms −1.71 Vladimir Region — all categories of farms · 2022: 114.4 · 2021: 116.2 · −1.81 Vladimir Region — all categories of farms −1.81 Arkhangelsk Region — all categories of farms · 2022: 42.6 · 2021: 45.6 · −3.00 Arkhangelsk… categories of farmsArkhangelsk Region — all categories of farms −3.00 Arkhangelsk Region (excluding Nenets Autonomous Okrug) — All categories of farms · 2022: 42.6 · 2021: 45.6 · −3.00 Arkhangelsk… categories of farmsArkhangelsk Region (excluding Nenets Autonomous Okrug) — All categories of farms −3.00 Orel Oblast — All categories of farms · 2022: 44.1 · 2021: 47.9 · −3.83 Orel Oblast — All categories of farms −3.83 Ivanovo Oblast — All categories of farms · 2022: 94.6 · 2021: 99.0 · −4.42 Ivanovo Oblast — All categories of farms −4.42 Ryazan Region — all categories of farms · 2022: 63.7 · 2021: 72.2 · −8.52 Ryazan Region — all categories of farms −8.52 Smolensk Oblast — All categories of farms · 2022: 164.2 · 2021: 175.2 · −11.0 Smolensk Oblast — All categories of farms −11.0 Voronezh Region — all categories of farms · 2022: 85.5 · 2021: 98.7 · −13.2 Voronezh Region — all categories of farms −13.2 Tula Region — all categories of farms · 2022: 69.0 · 2021: 83.0 · −14.0 Tula Region — all categories of farms −14.0 Moscow Region — all categories of farms · 2022: 182.6 · 2021: 197.7 · −15.1 Moscow Region — all categories of farms −15.1 Kaluga Region — all categories of farms · 2022: 159.4 · 2021: 174.7 · −15.3 Kaluga Region — all categories of farms −15.3 Yaroslavl Region — all categories of farms · 2022: 153.7 · 2021: 172.3 · −18.5 Yaroslavl Region — all categories of farms −18.5 Bryansk Region — all categories of farms · 2022: 272.5 · 2021: 293.3 · −20.8 Bryansk Region — all categories of farms −20.8 Northwestern Federal District — All categories of farms · 2022: 674.7 · 2021: 706.5 · −31.8 Northwestern… categories of farmsNorthwestern Federal District — All categories of farms −31.8 Tver Region — all categories of farms · 2022: 301.4 · 2021: 338.3 · −36.9 Tver Region — all categories of farms −36.9 Central Federal District — All categories of farms · 2022: 1,966 · 2021: 2,127 · −161.9 Central Federal… categories of farmsCentral Federal District — All categories of farms −161.9 Russian Federation — All categories of farms · 2022: 8,098 · 2021: 8,636 · −538.2 Russian Federation… categories of farmsRussian Federation — All categories of farms −538.2
how it will look

Set in numbers

Rosstat data for 2021–2022. Rows: 427, periods: 2. Breakdown by items: 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

Russian Federation — All categories of farms: the indicator fell from 8 636 to 8 098 for 2021–2022 — by 6.23%. Of the 25 largest rows, 2 increased, 23 decreased

All table numbers are series: 427
Series 20212022
Забайкальский край — из них: малые предприятия — 1,37
Забайкальский край — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 1,33
Забайкальский край — Хозяйства всех категорий 5,99 4,93
Камчатский край — Сельскохозяйственные организации — 9,14
Камчатский край — из них: малые предприятия — 3,46
Камчатский край — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 4,87
Камчатский край — Хозяйства всех категорий 11,89 14,01
Приморский край — Сельскохозяйственные организации — 4,90
Приморский край — из них: малые предприятия — 2,77
Приморский край — Хозяйства населения — 0,04
Приморский край — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 9,47
Приморский край — Хозяйства всех категорий 16,24 14,41
Хабаровский край — Сельскохозяйственные организации — 1,53
Хабаровский край — из них: малые предприятия — 1,39
Хабаровский край — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 0,37
Хабаровский край — Хозяйства всех категорий 2,02 1,90
Амурская область — Сельскохозяйственные организации — 13,82
Амурская область — из них: малые предприятия — 4,36
Амурская область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 6,32
Амурская область — Хозяйства всех категорий 27,31 20,15
Магаданская область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 0,10
Магаданская область — Хозяйства всех категорий 0,10 0,10
Сахалинская область — Сельскохозяйственные организации — 12,05
Сахалинская область — из них: малые предприятия — 3,76
Сахалинская область — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели — 6,68
Сахалинская область — Хозяйства всех категорий 19,98 18,74
Еврейская автономная область — Хозяйства всех категорий 0,15 —

How to read this table

Ninety-two rows in the table are organized geographically, starting with the national total and ending with individual regions, such as Belgorod Oblast. Comparing values between the 2021 and 2022 columns shows how perennial grass areas changed in each specific region. Data is grouped so that users can quickly find both federal indicators and detailed figures for their specific constituent entity, assessing the scale of sowings in each for the specified two-year period

What is visible in these numbers

Five largest values: Russian Federation — All categories of farms (8 636), Central Federal District — All categories of farms (2 127), North-Western Federal District — All categories of farms (706.5), Tver Region — All categories of farms (338.3), Bryansk Region — All categories of farms (293.3). The gap between the largest and smallest is 3 795 times. The top five account for 88.1% of the total for all items — the distribution is heavily skewed toward the top

Observations are annual and cover 2 periods. Cells with numbers: 50 out of 50 (100%) — there are virtually no gaps

The same indicator for other periods

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

Period and application

Data is updated as agricultural bulletins are published, covering the 2021 and 2022 period. The information is useful for agronomists, agricultural market analysts, and land-use specialists. The reference presents information clearly for quick searching of regions, simplifying work with regional statistics and helping to track changes in the structure of perennial grass sown areas throughout the territory of Russia

How it is calculated

Data on sown areas, yield and livestock numbers are used in planning raw material procurement, crop yield assessment and food price forecasting

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