Distribution of areas under long-fiber flax among farms
The table shows how fiber flax sown areas are distributed among different farm categories. Figures are given in percent of the total sown area of the crop across all farm categories. This allows seeing where flax is grown predominantly by large agricultural organizations, and where by farmers or private households. This helps assess the industry structure and the role of each farm type in fiber flax production
The chart shows the distribution of fiber flax sown areas among different farm categories across Russia's regions
Set in numbers
The table is a snapshot — 29 series shown across 5 breakdowns. 93 values in total.
“North Caucasian Federal District” leads the table with 100, “Republic of Tatarstan (Tatarstan)” closes it with 1.9. The gap between them is 53.7-fold.
All table numbers are series: 29
| Series | Хозяйства всех категорий | Сельскохозяйственные организации | из них: малые предприятия | Хозяйства населения | Крестьянские (фермерские) хозяйства и индивидуальные предприниматели |
|---|---|---|---|---|---|
| Российская Федерация | 100,00 | 71,95 | 37,06 | — | 28,05 |
| Центральный федеральный округ | 100,00 | 70,60 | 33,32 | — | 29,40 |
| Брянская область | 100,00 | 100,00 | — | — | — |
| Ивановская область | 100,00 | — | — | — | 100,00 |
| Костромская область | 100,00 | 74,32 | 74,32 | — | 25,68 |
| Смоленская область | 100,00 | 63,19 | 21,22 | — | 36,81 |
| Тверская область | 100,00 | 57,67 | 42,53 | — | 42,33 |
| Ярославская область | 100,00 | 97,64 | 97,64 | — | 2,36 |
| Северо-Западный федеральный округ | 100,00 | 66,11 | 43,08 | — | 33,89 |
| Вологодская область | 100,00 | 67,27 | 58,18 | — | 32,73 |
| Псковская область | 100,00 | 64,12 | 17,16 | — | 35,88 |
| Северо-Кавказский федеральный округ | 100,00 | 100,00 | 100,00 | — | — |
| Чеченская Республика | 100,00 | 100,00 | 100,00 | — | — |
| Приволжский федеральный округ | 100,00 | 77,12 | 41,65 | — | 22,88 |
| Республика Мордовия | 100,00 | 100,00 | 100,00 | — | — |
| Республика Татарстан (Татарстан) | 100,00 | 98,14 | 42,41 | — | 1,86 |
| Удмуртская Республика | 100,00 | 66,05 | 32,87 | — | 33,95 |
| Кировская область | 100,00 | 100,00 | — | — | — |
| Нижегородская область | 100,00 | 77,80 | 57,86 | — | 22,20 |
| Сибирский федеральный округ | 100,00 | 47,54 | 14,34 | — | 52,46 |
| Алтайский край | 100,00 | 100,00 | — | — | — |
| Иркутская область | 100,00 | 100,00 | 100,00 | — | — |
| Кемеровская область - Кузбасс | 100,00 | — | — | — | 100,00 |
| Новосибирская область | 100,00 | — | — | — | 100,00 |
| Омская область | 100,00 | — | — | — | 100,00 |
| Томская область | 100,00 | 100,00 | — | — | — |
| Дальневосточный федеральный округ | 100,00 | 100,00 | 45,45 | — | — |
| Забайкальский край | 100,00 | 100,00 | 29,41 | — | — |
| Еврейская автономная область | 100,00 | 100,00 | 100,00 | — | — |
How to read this table
Comparisons between regions and federal districts show how evenly areas are distributed among different farm types. In one part of the country, the share of farms may be minimal, in another, it may reach half of the sown area. Note the 50 percent threshold: if the share of farmers is higher, it indicates fragmented cultivation; if lower, it indicates production concentration in large-scale farms
What is visible in these numbers
Only 68% of the cells carry a value — empty cells are missing in the source publication and are not filled in here.
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
The data is provided for the current period without time series. Updates are made as statistics are collected. The table is useful for agricultural producers for market analysis, authorities for supporting specific farm types, and researchers for studying agricultural structure
... Данные не размещаются в целях обеспечения конфиденциальности первичных статистических данных, полученных от организаций, в соответствии с Федеральным законом от 29.11.2007 No 282-ФЗ (ст.4, п.5; ст. 9. П.1)
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