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Harvested area of perennial grasses for seeds in agricultural organizations, 2022–2023

· dynamics annual · rows: 58 · periods: 2 · section: Bulletins on the state of agriculture (electronic versions)

Perennial grasses for seed are harvested in agricultural organizations that are not part of small businesses. The list includes various levels: the entire Russian Federation, federal districts, and individual regions, such as Belgorod Oblast. This allows for comparing production scales at the national and constituent entity levels. The statistics cover two years, 2022 and 2023, and reflect the annual dynamics of harvested areas

shown 25 largest of 58

Chart of harvested area of perennial grasses for seed in agricultural organizations by region for 2022–2023

unchanged Kaliningrad Region · 2023: 0.68 · 2022: 0.13 · +0.55 Kaliningrad Region +0.55 Rostov Region · 2023: 2.35 · 2022: 1.92 · +0.42 Rostov Region +0.42 Yaroslavl Region · 2023: 0.27 · 2022: 0.08 · +0.19 Yaroslavl Region +0.19 North Caucasian Federal District · 2023: 1.37 · 2022: 1.21 · +0.16 North Caucasian Federal District +0.16 Moscow Region · 2023: 0.86 · 2022: 0.75 · +0.11 Moscow Region +0.11 Tver Region · 2023: 0.14 · 2022: 0.16 · −0.02 Tver Region −0.02 Oryol Region · 2023: 2.96 · 2022: 3.00 · −0.04 Oryol Region −0.04 Ryazan Region · 2023: 0.69 · 2022: 0.74 · −0.05 Ryazan Region −0.05 Leningrad Region · 2023: 1.07 · 2022: 1.13 · −0.06 Leningrad Region −0.06 Tula Region · 2023: 0.87 · 2022: 0.96 · −0.09 Tula Region −0.09 Ivanovo Region · 2023: 0.21 · 2022: 0.30 · −0.10 Ivanovo Region −0.10 Stavropol Territory · 2023: 1.11 · 2022: 1.21 · −0.10 Stavropol Territory −0.10 Belgorod Region · 2023: 1.66 · 2022: 1.89 · −0.23 Belgorod Region −0.23 Kursk Region · 2023: 0.58 · 2022: 0.82 · −0.24 Kursk Region −0.24 Volgograd Region · 2023: 0.86 · 2022: 1.16 · −0.30 Volgograd Region −0.30 Vologda Region · 2023: 0.22 · 2022: 0.58 · −0.37 Vologda Region −0.37 Northwestern Federal District · 2023: 2.00 · 2022: 2.44 · −0.44 Northwestern Federal District −0.44 Mari El Republic · 2023: 1.27 · 2022: 1.89 · −0.62 Mari El Republic −0.62 Republic of Bashkortostan · 2023: 0.92 · 2022: 2.02 · −1.10 Republic of Bashkortostan −1.10 Voronezh Region · 2023: 1.43 · 2022: 2.60 · −1.18 Voronezh Region −1.18 Central Federal District · 2023: 10.4 · 2022: 12.3 · −1.86 Central Federal District −1.86 Southern Federal District · 2023: 4.80 · 2022: 6.99 · −2.19 Southern Federal District −2.19 Krasnodar Territory · 2023: 1.42 · 2022: 3.67 · −2.25 Krasnodar Territory −2.25 Volga Federal District · 2023: 34.7 · 2022: 37.5 · −2.74 Volga Federal District −2.74 Russian Federation · 2023: 64.4 · 2022: 78.8 · −14.4 Russian Federation −14.4
how it will look

Set in numbers

Rosstat data for 2022–2023. Rows: 58, periods: 2. Table rows: Russian Federation; Central Federal District; Belgorod Oblast; Voronezh Oblast; Ivanovo Oblast and others

Russian Federation: the indicator decreased from 78.8 to 64.4 in 2022–2023 — by 18.3%. Out of the 25 largest series, 5 increased and 20 decreased

All table numbers are series: 58
Series 20222023
Российская Федерация 78,85 64,43
Центральный федеральный округ 12,30 10,44
Белгородская область 1,89 1,66
Брянская область — 0,33
Владимирская область 0,10 —
Воронежская область 2,60 1,43
Ивановская область 0,30 0,21
Калужская область 0,25 —
Курская область 0,82 0,58
Липецкая область 0,03 —
Московская область 0,75 0,86
Орловская область 3,00 2,96
Рязанская область 0,74 0,69
Смоленская область 0,46 —
Тверская область 0,16 0,14
Тульская область 0,96 0,87
Ярославская область 0,08 0,27
Северо-Западный федеральный округ 2,44 2,00
Вологодская область 0,58 0,22
Калининградская область 0,13 0,68
Ленинградская область 1,13 1,07
Псковская область 0,47 —
Южный федеральный округ 6,99 4,80
Краснодарский край 3,67 1,42
Волгоградская область 1,16 0,86
Ростовская область 1,92 2,35
Северо-Кавказский федеральный округ 1,21 1,37
Республика Дагестан — 0,26
Ставропольский край 1,21 1,11
Приволжский федеральный округ 37,47 34,73
Республика Башкортостан 2,02 0,92
Республика Марий Эл 1,89 1,27
Республика Мордовия 1,51 1,66
Республика Татарстан (Татарстан) 7,10 5,42
Удмуртская Республика 5,78 4,41
Чувашская Республика - Чувашия 0,57 0,68
Пермский край 3,49 1,68
Кировская область 12,87 15,84
Нижегородская область 1,11 1,62
Оренбургская область 0,38 —
Пензенская область 0,25 0,41
Самарская область 0,31 —
Саратовская область 0,14 0,60
Ульяновская область 0,08 —
Уральский федеральный округ 3,42 —
Свердловская область 2,28 0,70
Тюменская область 0,30 0,28
Тюменская область (кроме Ханты-Мансийского автономного округа-Югры и Ямало-Ненецкого автономного округа) 0,30 0,28
Челябинская область 0,80 —
Сибирский федеральный округ 14,63 9,68
Алтайский край 2,33 0,70
Красноярский край 1,18 1,44
Иркутская область 0,44 0,20
Новосибирская область 7,65 3,69
Омская область 2,83 2,97
Томская область 0,20 0,67
Дальневосточный федеральный округ 0,38 0,20
Хабаровский край 0,14 —

How to read this table

The rows in the list vary by territorial coverage, facilitating comparison between large federal districts and individual regions. Comparing rows by year shows the change in harvested area within large agribusinesses over this period. In 2022, the national harvested area was 78.84619 area units, and in 2023, this figure was 64.42526

What is visible in these numbers

Five largest values: Russian Federation (78.8), Volga Federal District (37.5), Central Federal District (12.3), Southern Federal District (6.99), Krasnodar Krai (3.67). The gap between the largest and smallest is 492.8 times. The top five account for 84% of the total for all positions — the distribution is heavily skewed toward the top

Observations are annual, with 2 observation periods in the set. There are 50 values in the table out of 50 possible, which is 100% — there are practically no missing values

The same indicator for other periods

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

Period and application

Information is published as part of agricultural status bulletins. The data is current for 2022–2023 and is suitable for monitoring crop production development in large-scale farms. Rosstat data is useful for agronomists, seed procurement specialists, and economists analyzing the forage and seed crop markets

How it is calculated

The harvest and livestock population of the current year determine the purchase prices of the next: a processor needs such series earlier than the supplier's price list