Safflower sowings in Russia: area and share in total sowings

checked 26.10.2026 · snapshot · rows: 16 · periods: 11 · section: Bulletins on the state of agriculture (electronic versions)

Safflower area in Russia, federal districts, and individual regions is broken down by farm category. Rows are organized by territory, while columns divide crops into agricultural organizations, households, and peasant farm enterprises. The final column shows the share of safflower in total crops for each territory, in percent. Data is current as of the publication of the agricultural status bulletin

how it will look

Set in numbers

Rosstat data. Rows: 16, indicators: 11. Breakdown: Russian Federation; Southern Federal District; Republic of Crimea; Volgograd Oblast; Rostov Oblast and others

Maximum values: Republic of Crimea (1 000 million), Ural Federal District (1 000 million), Chelyabinsk Oblast (1 000 million). The gap between the maximum and minimum is 12.8 billion times. The top three account for 100% of the total for all items — the distribution is heavily skewed toward the top

All table numbers are series: 16

Series	Сельскохо-зяйствен-ные организации	из них: малые предприятия	Хозяйства населения	Крестьянские (фермерские) хозяйства и индивидуальные предприниматели	Хозяйства всех категорий	2020 Хозяйства всех категорий	2021 в % к 2020 — Хозяйства всех категорий	2021 в % к 2020 — Сельскохо-зяйствен-ные организации	2021 в % к 2020 — Хозяйства населения	2021 в % к 2020 — Крестьянские (фермерские) хозяйства и индивидуальные предприниматели	Доля во всех посевах, %
Российская федерация	136,81	79,41	—	112,63	249,44	188,77	132,14	132,87	—	131,26	0,31
Южный федеральный округ	36,95	29,16	—	24,06	61,01	45,50	134,08	136,20	—	130,95	0,47
Республика Крым	—	—	—	0,08	0,08	999 999 999,00	999 999 999,00	—	—	—	0,01
Волгоградская область	35,30	27,52	—	22,99	58,29	40,97	142,28	139,82	—	146,23	1,89
Ростовская область	1,64	1,64	—	0,99	2,64	4,53	58,25	87,72	—	37,44	0,06
Северо-кавказский федеральный округ	0,78	0,78	—	0,72	1,50	0,61	247,12	—	—	119,20	0,03
Ставропольский край	0,78	0,78	—	0,72	1,50	0,61	247,12	—	—	119,20	0,05
Приволжский федеральный округ	97,88	48,73	—	87,67	185,54	142,42	130,28	129,47	—	131,19	0,77
Республика Башкортостан	0,13	0,13	—	0,54	0,67	0,31	217,48	71,43	—	426,77	0,02
Оренбургская область	18,47	13,61	—	20,60	39,07	15,20	256,99	210,10	—	321,29	0,91
Пензенская область	0,20	0,20	—	0,03	0,23	0,36	64,35	—	—	9,19	0,02
Самарская область	—	—	—	0,07	0,07	0,99	7,26	—	—	7,05	0,00
Саратовская область	79,00	34,72	—	66,42	145,42	125,56	115,82	118,57	—	112,71	3,50
Ульяновская область	0,08	0,08	—	—	0,08	—	—	—	—	—	0,01
Уральский федеральный округ	1,21	0,74	—	0,18	1,39	999 999 999,00	999 999 999,00	999 999 999,00	—	—	0,03
Челябинская область	1,21	0,74	—	0,18	1,39	999 999 999,00	999 999 999,00	999 999 999,00	—	—	0,07

How to read this table

Crop production volumes can be compared by switching between rows: indicators are provided for the whole country, the Southern Federal District, and the Volgograd Region. This allows for assessing production scale at the national level and identifying key agricultural regions. Columns indicate which specific farm types contribute most to the production of this crop in a given territory

What is visible in these numbers

Table columns: Agricultural organizations; of which: small enterprises; Households; Peasant (farm) holdings and individual entrepreneurs; Households of all categories; 2020 Households of all categories; 2021 as % of 2020 — Households of all categories; 2021 as % of 2020 — Agricultural organizations; 2021 as % of 2020 — Households; 2021 as % of 2020 — Peasant (farm) holdings and individual...; Share in all crops, %

Out of 176 possible values, 127 are filled (72.2%). The data is sparse — for many items, observations were not conducted for the entire period, and aggregate totals for them should not be calculated

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

Period and application

Data from agricultural status bulletins provide a cross-sectional view not tied to specific years. Information covers agricultural organizations, private households, and farmers. This dataset is useful for agro-industrial complex specialists, crop production market researchers, and oilseed procurement companies

How it is calculated

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

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