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Yield of perennial grasses for seeds: clover in agricultural organizations, 2022–2023

· dynamics annual · rows: 44 · periods: 2 · section: Bulletins on the state of agriculture (electronic versions)

This dataset shows the amount of clover seed harvested per hectare in large agricultural organizations that are not classified as small businesses. The data covers 2022 and 2023, allowing for a comparison of the two seasons. Rows are organized geographically, including totals for the Russian Federation, data for federal districts, and individual constituent entities such as Bryansk Oblast. This helps illustrate the distribution of perennial grass productivity across different parts of the country

shown 25 largest of 44

Chart of clover seed yield in agricultural organizations by region for 2022–2023

unchanged Mari El Republic · 2023: 1.33 · 2022: 0.23 · +1.10 Mari El Republic +1.10 Ivanovo Region · 2023: 1.47 · 2022: 1.00 · +0.47 Ivanovo Region +0.47 Kursk Region · 2023: 1.07 · 2022: 0.75 · +0.33 Kursk Region +0.33 Republic of Mordovia · 2023: 1.54 · 2022: 1.38 · +0.15 Republic of Mordovia +0.15 Moscow Region · 2023: 1.11 · 2022: 1.01 · +0.10 Moscow Region +0.10 Vologda Region · 2023: 2.06 · 2022: 2.03 · +0.02 Vologda Region +0.02 Oryol Region · 2023: 3.74 · 2022: 3.75 · −0.01 Oryol Region −0.01 Smolensk Region · 2023: 1.70 · 2022: 1.88 · −0.18 Smolensk Region −0.18 Volga Federal District · 2023: 0.91 · 2022: 1.12 · −0.20 Volga Federal District −0.20 Tver Region · 2023: 1.05 · 2022: 1.28 · −0.23 Tver Region −0.23 Russian Federation · 2023: 1.03 · 2022: 1.29 · −0.26 Russian Federation −0.26 Leningrad Region · 2023: 1.67 · 2022: 2.07 · −0.40 Leningrad Region −0.40 Kostroma Region · 2023: 0.73 · 2022: 1.14 · −0.41 Kostroma Region −0.41 Republic of Tatarstan (Tatarstan) · 2023: 1.25 · 2022: 1.67 · −0.42 Republic of Tatarstan (Tatarstan) −0.42 Udmurt Republic · 2023: 0.89 · 2022: 1.31 · −0.42 Udmurt Republic −0.42 Central Federal District · 2023: 1.73 · 2022: 2.41 · −0.68 Central Federal District −0.68 Ryazan Region · 2023: 1.60 · 2022: 2.39 · −0.79 Ryazan Region −0.79 Northwestern Federal District · 2023: 1.65 · 2022: 2.48 · −0.84 Northwestern Federal District −0.84 Kaluga Region · 2023: 0.11 · 2022: 1.08 · −0.97 Kaluga Region −0.97 Chuvash Republic - Chuvashia · 2023: 0.71 · 2022: 1.93 · −1.22 Chuvash Republic - Chuvashia −1.22 Bryansk Region · 2023: 1.55 · 2022: 2.79 · −1.24 Bryansk Region −1.24 Republic of Bashkortostan · 2023: 2.56 · 2022: 3.94 · −1.38 Republic of Bashkortostan −1.38 Kaliningrad Region · 2023: 1.07 · 2022: 2.67 · −1.60 Kaliningrad Region −1.60 Yaroslavl Region · 2023: 1.70 · 2022: 3.60 · −1.90 Yaroslavl Region −1.90 Pskov Region · 2023: 1.30 · 2022: 3.34 · −2.04 Pskov Region −2.04
how it will look

Set in numbers

Rosstat data for 2022–2023. Series: 44, periods: 2. Table rows: Russian Federation; Central Federal District; Bryansk Oblast; Ivanovo Oblast; Kaluga Oblast and others

Republic of Bashkortostan: the indicator decreased from 3.94 to 2.56 for 2022–2023 — by 35%. Of the 25 largest series, 6 increased and 19 decreased

All table numbers are series: 44
Series 20222023
Российская Федерация 1,29 1,03
Центральный федеральный округ 2,41 1,73
Белгородская область — 3,47
Брянская область 2,79 1,55
Владимирская область 1,49 —
Воронежская область — 0,73
Ивановская область 1,00 1,47
Калужская область 1,08 0,11
Костромская область 1,14 0,73
Курская область 0,75 1,07
Московская область 1,01 1,11
Орловская область 3,75 3,74
Рязанская область 2,39 1,60
Смоленская область 1,88 1,70
Тверская область 1,28 1,05
Тульская область 5,72 —
Ярославская область 3,60 1,70
Северо-Западный федеральный округ 2,48 1,65
Вологодская область 2,03 2,06
Калининградская область 2,67 1,07
Ленинградская область 2,07 1,67
Псковская область 3,34 1,30
Северо-Кавказский федеральный округ 1,34 —
Ставропольский край 1,34 —
Приволжский федеральный округ 1,12 0,91
Республика Башкортостан 3,94 2,56
Республика Марий Эл 0,23 1,33
Республика Мордовия 1,38 1,54
Республика Татарстан (Татарстан) 1,67 1,25
Удмуртская Республика 1,31 0,89
Чувашская Республика - Чувашия 1,93 0,71
Пермский край 1,31 1,16
Кировская область 0,93 0,72
Нижегородская область 1,10 0,80
Пензенская область 0,79 4,16
Уральский федеральный округ 1,93 1,36
Свердловская область 1,99 1,52
Тюменская область 1,49 0,69
Тюменская область (кроме Ханты-Мансийского автономного округа-Югры и Ямало-Ненецкого автономного округа) 1,49 0,69
Сибирский федеральный округ 1,21 1,16
Красноярский край 1,16 1,46
Кемеровская область - Кузбасс 1,07 —
Новосибирская область 1,21 1,19
Томская область 1,33 0,70

How to read this table

Comparing rows allows for the identification of regions with the highest and lowest crop productivity. The list presents both aggregated totals for the country and federal districts and detailed values for specific oblasts. There are 44 rows in total, providing the opportunity to study the situation in each constituent entity in detail. By analyzing the difference between 2022 and 2023 values for the same region, one can observe how clover yield has changed in this specific economic sector over this short period

What is visible in these numbers

Five largest values: Republic of Bashkortostan (3.94), Oryol Oblast (3.75), Yaroslavl Oblast (3.6), Pskov Oblast (3.34), Bryansk Oblast (2.79). The top five leaders account for 34.4% of the total across all positions

Annual observations, the set contains 2 observation periods. There are 50 values in the table out of 50 possible, which is 100%; there are practically no gaps in the data

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 2022 to 2023 and are based on Rosstat data from specialized agricultural bulletins. This information is useful for agronomists, seed specialists, and economists analyzing the efficiency of crop production in large organizations. Regular updates to such indicators allow for tracking general trends in perennial grass seed production and assessing the resource potential of various agricultural regions across the country

How it is calculated

This year's harvest and livestock numbers determine next year's procurement prices: a processor needs such series earlier than a supplier's price list