Yield of lentils in agricultural organizations

checked 22.10.2026 · snapshot · rows: 37 · periods: 7 · section: Bulletins on the state of agriculture (electronic versions)

This dataset provides lentil yields in centners per hectare across various farm types and regions. Rows are categorized by federal district and Russia as a whole, while columns present data for agricultural organizations, peasant farms, and private households. The data also includes the percentage change in yield in 2022 compared to 2021 levels

how it will look

Set in numbers

Rosstat data. Rows: 37, indicators: 7. Table rows: Russian Federation; North Caucasian Federal District; Central Federal District; Ryazan Oblast; Southern Federal District and others

Five highest values: Ural Federal District (425.4), Chelyabinsk Oblast (412.1), Orenburg Oblast (167.3), Samara Oblast (164.4), Ulyanovsk Oblast (138.4). The gap between the highest and lowest is 7.64 times. The top five account for 39.5% of the total across all positions

All table numbers are series: 37

Series	Сельскохозяйственные организации	из них: малые предприятия	Хозяйства населения	Крестьянские (фермерские) хозяйства и индивидуальные предприниматели	2022	2021	2022 в % к 2021
Российская Федерация	11,69	11,54	19,00	12,09	11,89	10,90	109,10
Центральный федеральный округ	19,96	12,99	—	10,23	19,11	17,40	109,84
Белгородская область	19,27	19,60	—	—	19,27	—	—
Воронежская область	—	—	—	12,35	11,23	14,80	75,85
Курская область	—	—	—	—	—	—	118,50
Орловская область	—	—	—	7,25	7,25	5,50	131,82
Рязанская область	20,72	13,01	—	15,00	20,70	16,80	123,19
Тамбовская область	—	—	—	5,05	5,05	11,70	43,14
Тульская область	—	—	—	—	—	—	87,57
Южный федеральный округ	12,73	13,56	—	10,57	11,88	12,10	98,14
Республика Калмыкия	10,53	10,53	—	7,20	9,41	16,90	55,67
Республика Крым	13,32	12,92	—	11,18	12,27	11,60	105,80
Краснодарский край	12,85	14,92	—	13,14	12,99	12,10	107,33
Волгоградская область	13,44	14,27	—	10,65	12,17	13,00	93,64
Ростовская область	12,03	13,61	—	9,27	11,32	10,80	104,79
Северо-Кавказский федеральный округ	6,56	2,10	19,00	7,56	7,22	12,00	60,16
Республика Дагестан	—	—	19,00	—	19,00	14,00	135,71
Ставропольский край	6,56	2,10	—	7,56	7,02	11,90	58,98
Приволжский федеральный округ	12,63	12,40	—	14,36	13,70	10,20	134,28
Республика Башкортостан	8,50	2,18	—	—	8,50	8,60	98,79
Республика Мордовия	20,52	20,52	—	—	20,52	—	—
Республика Татарстан (Татарстан)	24,61	—	—	—	24,61	—	—
Кировская область	—	—	—	9,66	9,66	—	—
Нижегородская область	6,36	6,36	—	—	6,36	—	—
Оренбургская область	9,14	6,55	—	15,57	14,39	8,60	167,32
Пензенская область	11,40	11,40	—	21,64	13,53	11,90	113,70
Самарская область	15,44	15,44	—	13,36	14,30	8,70	164,39
Саратовская область	12,45	12,25	—	14,09	13,54	10,90	124,20
Ульяновская область	15,05	15,05	—	24,80	15,22	11,00	138,36
Уральский федеральный округ	15,16	15,16	—	10,73	12,34	2,90	425,44
Курганская область	22,22	22,22	—	10,04	12,80	—	—
Челябинская область	12,34	12,34	—	11,59	11,95	2,90	412,15
Сибирский федеральный округ	10,53	10,69	—	9,92	10,26	10,70	95,89
Алтайский край	11,22	10,83	—	10,50	10,88	11,50	94,64
Кемеровская область - Кузбасс	—	—	—	4,50	6,81	—	—
Новосибирская область	13,61	10,00	—	4,19	12,12	11,50	105,43
Омская область	—	—	—	7,94	7,97	—	—

How to read this table

Variations in indicators across rows allow for an assessment of large agro-holdings' efficiency compared to small-scale farmers or private households. The columns represent three main producer categories, illustrating the crop's production structure. Productivity in the North Caucasian and Central Federal Districts can be compared with the national average

What is visible in these numbers

What is measured: Agricultural organizations; of which: small enterprises; Households; Peasant (farm) holdings and individual entrepreneurs

There are 147 values in the table out of 175 possible, which is 84%. There are gaps, but they are isolated: observations were not always conducted for some positions

The same indicator in other breakdowns (3)

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

Period and application

This data is relevant for analyzing current crop production trends and lentil harvest dynamics. Data by farm type and federal district assists agricultural producers and economists in production planning. Information from Rosstat bulletins is updated according to the agricultural statistics publication schedule

How it is calculated

Harvest and livestock of this year determine the procurement prices of the next: the processor needs such series earlier than the supplier's price list

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