Roschart — Russian statistics in charts

Official Rosstat statistics turned into charts instead of CSV and XLSX

RU

Sown areas of vetch and vetch mixtures with a predominance of vetch for grain, 2021–2022

· dynamics annual · rows: 205 · periods: 2 · section: Bulletins on the state of agriculture (electronic versions)

These data for two agricultural seasons show the land area allocated to vetch and vetch mixtures dominated by vetch for grain. The rows are divided into national totals, data for the Southern and Volga Federal Districts, and specific constituent entities. The indicator reflects the area occupied by this crop and allows for regional comparisons

shown 25 largest of 205

Chart of sown areas of vetch and vetch mixtures for grain by Russian regions for 2021–2022

unchanged Moscow Region — all categories of farms · 2022: 0.61 · 2021: 0.43 · +0.18 Moscow Region — all categories of farms +0.18 Yaroslavl Region — all categories of farms · 2022: 0.41 · 2021: 0.30 · +0.11 Yaroslavl Region — all categories of farms +0.11 Kursk Oblast — All categories of farms · 2022: 0.48 · 2021: 0.37 · +0.11 Kursk Oblast — All categories of farms +0.11 Ryazan Region — all categories of farms · 2022: 0.60 · 2021: 0.56 · +0.04 Ryazan Region — all categories of farms +0.04 Tver Region — all categories of farms · 2022: 0.20 · 2021: 0.18 · +0.02 Tver Region — all categories of farms +0.02 Voronezh Region — all categories of farms · 2022: 0.19 · 2021: 0.18 · +0.02 Voronezh Region — all categories of farms +0.02 Rostov Region — all categories of farms · 2022: 0.03 · 2021: 0.03 · +0.01 Rostov Region — all categories of farms +0.01 Novgorod Region — All types of households · 2022: 0.01 · 2021: 0.01 · −0.00 Novgorod Region — All types of households −0.00 Ivanovo Oblast — All categories of farms · 2022: 0.26 · 2021: 0.30 · −0.04 Ivanovo Oblast — All categories of farms −0.04 Southern Federal District — All types of households · 2022: 0.46 · 2021: 0.50 · −0.04 Southern Federal… types of householdsSouthern Federal District — All types of households −0.04 Northwestern Federal District — All categories of farms · 2022: 0.17 · 2021: 0.23 · −0.06 Northwestern… categories of farmsNorthwestern Federal District — All categories of farms −0.06 Kostroma Region — all categories of farms · 2022: 0.08 · 2021: 0.14 · −0.06 Kostroma Region — all categories of farms −0.06 Smolensk Oblast — All categories of farms · 2022: 0.08 · 2021: 0.14 · −0.07 Smolensk Oblast — All categories of farms −0.07 Pskov Region — All types of households · 2022: 0.01 · 2021: 0.10 · −0.09 Pskov Region — All types of households −0.09 Bryansk Region — all categories of farms · 2022: 0.33 · 2021: 0.49 · −0.16 Bryansk Region — all categories of farms −0.16 Belgorod Region — all categories of farms · 2022: 0.06 · 2021: 0.39 · −0.33 Belgorod Region — all categories of farms −0.33 Kaluga Region — all categories of farms · 2022: 0.20 · 2021: 0.57 · −0.36 Kaluga Region — all categories of farms −0.36 Mari El Republic — All categories of households · 2022: 4.19 · 2021: 4.57 · −0.38 Mari El Republic… of householdsMari El Republic — All categories of households −0.38 Orel Oblast — All categories of farms · 2022: 0.65 · 2021: 1.11 · −0.46 Orel Oblast — All categories of farms −0.46 Tula Region — all categories of farms · 2022: 0.44 · 2021: 0.91 · −0.47 Tula Region — all categories of farms −0.47 Lipetsk Region — all categories of farms · 2022: 0.29 · 2021: 0.92 · −0.63 Lipetsk Region — all categories of farms −0.63 Central Federal District — All categories of farms · 2022: 5.18 · 2021: 7.12 · −1.94 Central Federal… categories of farmsCentral Federal District — All categories of farms −1.94 Republic of Bashkortostan — All categories of farms · 2022: 24.2 · 2021: 32.1 · −7.93 Republic of… categories of farmsRepublic of Bashkortostan — All categories of farms −7.93 Volga Federal District — All categories of economic entities · 2022: 55.2 · 2021: 65.2 · −10.0 Volga Federal… of economic entitiesVolga Federal District — All categories of economic entities −10.0 Russian Federation — All categories of farms · 2022: 72.7 · 2021: 82.8 · −10.1 Russian Federation… categories of farmsRussian Federation — All categories of farms −10.1
how it will look

Set in numbers

Rosstat data for 2021–2022. Rows: 205, periods: 2. Breakdown by positions: 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; Voronezh Region — All categories of farms and others

Russian Federation — All categories of farms: the indicator fell from 82.8 to 72.7 in 2021–2022 — by 12.2%. Of the 25 largest rows, 7 increased, 18 decreased

All table numbers are series: 205

How to read this table

The differences between rows help compare sown volumes in individual federal districts with national values. These rows show which territories are occupied by the largest agricultural regions and how areas are distributed between the South and the Volga. Comparing 2021 and 2022 figures provides an overview of land use for these crops in specific constituent entities

What is visible in these numbers

Five highest values: Russian Federation — All categories of farms (82.8), Volga Federal District — All categories of farms (65.2), Republic of Bashkortostan — All categories of farms (32.1), Central Federal District — All categories of farms (7.12), Republic of Mari El — All categories of farms (4.57). The gap between the highest and lowest is 13,804 times. The top five account for 95.8% of the total across all positions — the distribution is heavily skewed toward the top

Observations are annual, with 2 periods in the dataset. Of 50 possible values, 50 (100%) are filled, meaning the table is almost entirely complete

The same indicator for other periods

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

Period and application

The statistics cover the period from 2021 to 2022. The information is presented as a cross-section and includes 61 rows with territorial divisions. This data is useful for agronomists, agricultural enterprise managers, and specialists involved in sowing area planning and crop production structure analysis

How it is calculated

Sown areas show what will be abundant and what scarce several months before this is reflected on the shelf