Rosstat data on the share of sown areas of long flax in farms
The distribution of fiber flax sown areas by organizational and legal form enables an assessment of the role of large and small producers in the industry. Columns include data for all categories of farms, including peasant and farmer holdings, as well as individual entrepreneurs. Rows provide comparisons for Russia as a whole, federal districts, and individual constituent entities, such as the Ivanovo Region
Distribution of fiber flax sown area shares by farm type and region, in percent
Set in numbers
The table is a snapshot — 30 series shown across 5 breakdowns. 91 values in total.
“Tula Region” leads the table with 100, “Pskov Region” closes it with 2. The gap between them is 50.3-fold.
All table numbers are series: 30
| Series | Хозяйства всех категорий | Сельскохозяйственные организации | из них: малые предприятия | Хозяйства населения | Крестьянские (фермерские) хозяйства и индивидуальные предприниматели |
|---|---|---|---|---|---|
| Российская Федерация | 100,00 | 64,70 | 33,23 | — | 35,30 |
| Центральный федеральный округ | 100,00 | 72,63 | 42,48 | — | 27,37 |
| Брянская область | 100,00 | 100,00 | 39,91 | — | — |
| Ивановская область | 100,00 | 15,19 | 15,19 | — | 84,81 |
| Костромская область | 100,00 | — | — | — | 100,00 |
| Смоленская область | 100,00 | 67,35 | 28,30 | — | 32,65 |
| Тверская область | 100,00 | 68,89 | 51,26 | — | 31,11 |
| Тульская область | 100,00 | 100,00 | 100,00 | — | — |
| Ярославская область | 100,00 | 100,00 | 98,49 | — | — |
| г. Москва | 100,00 | 100,00 | — | — | — |
| Северо-Западный федеральный округ | 100,00 | 75,77 | — | — | 24,23 |
| Вологодская область | 100,00 | 71,83 | 63,03 | — | 28,17 |
| Псковская область | 100,00 | 98,01 | 26,49 | — | 1,99 |
| Южный федеральный округ | 100,00 | 100,00 | — | — | — |
| Ростовская область | 100,00 | 100,00 | — | — | — |
| Приволжский федеральный округ | 100,00 | 69,21 | 28,35 | — | 30,79 |
| Республика Татарстан (Татарстан) | 100,00 | 99,15 | 43,94 | — | — |
| Удмуртская Республика | 100,00 | 64,87 | — | — | 35,13 |
| Кировская область | 100,00 | 100,00 | — | — | — |
| Нижегородская область | 100,00 | 54,93 | 41,59 | — | 45,07 |
| Оренбургская область | 100,00 | — | — | — | 100,00 |
| Сибирский федеральный округ | 100,00 | 34,87 | 5,87 | — | 65,13 |
| Алтайский край | 100,00 | 100,00 | — | — | — |
| Иркутская область | 100,00 | 100,00 | 100,00 | — | — |
| Новосибирская область | 100,00 | — | — | — | 100,00 |
| Омская область | 100,00 | 0,14 | — | — | — |
| Томская область | 100,00 | 100,00 | — | — | — |
| Дальневосточный федеральный округ | 100,00 | 78,84 | 78,84 | — | — |
| Амурская область | 100,00 | 100,00 | 100,00 | — | — |
| Еврейская автономная область | 100,00 | 58,22 | 58,22 | — | 41,78 |
How to read this table
Comparing rows reveals variations in crop production structure across different parts of the country or specific regions. For example, the share of small farms in total fiber flax sowings may vary significantly by region. Column values reflect the percentage distribution of areas within each category, highlighting the specialization of various types of agricultural producers
What is visible in these numbers
Only 65% of the cells carry a value — empty cells are missing in the source publication and are not filled in here.
The same indicator in other breakdowns (2)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
Data are collected based on agricultural bulletins. As a snapshot without time-series dynamics, the data reflect the sowing structure at a specific point in time. This information is useful for agronomists, economists, and those analyzing the distribution of crop production resources by ownership form and territory
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