Gross harvest of flax fiber by region of Russia
Annual flax fiber production volumes across all types of farms from 2015 to 2024 are presented in thousands of tonnes. Rows are categorized by territorial scope: data is provided for the Russian Federation, the Central Federal District, and the Ivanovo Region. These series allow for tracking harvest trends at both the national and regional levels over a ten-year period
- Russian Federation
- Siberian Federal District
- Central Federal District
- Volga Federal District
- Omsk Region
- Tver Region
Chart of gross flax fiber harvest in Russia, 2015–2024, thousands of tonnes
Who grew, who fell: 2015 → 2024
See also
- Barley yield in Russia by year long time series by year
- Cattle population in Russia by year long time series by year
- Grain harvest in Russia by year long time series by year
- Number of cows in Russia by year long time series by year
- Sunflower yield in Russia by year long time series by year
- Wheat harvest in Russia by year long time series by year
- Wheat yield in Russia by year long time series by year
Set in numbers
The table holds 33 series, running from 2015 to 2024, 6 reporting periods. 127 values in total.
Between 2015 and 2024 “Russian Federation” declined from 45.2 to 25.9 — 42.7%. The lowest value in the series is 20.2 in 2023.
All table numbers are series: 33
| Series | 2015 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| Российская Федерация | 45,23 | 39,26 | 25,95 | 24,10 | 20,19 | 25,90 |
| Центральный федеральный округ | 14,80 | 13,63 | 9,97 | 7,09 | 8,12 | 12,08 |
| Белгородская область | — | 0,00 | — | — | — | — |
| Брянская область | 3,02 | 3,48 | 3,48 | 1,26 | — | 1,07 |
| Владимирская область | — | — | — | — | — | 0,02 |
| Ивановская область | 0,22 | 0,12 | 0,07 | 0,09 | 0,80 | 2,30 |
| Костромская область | 0,18 | 0,20 | 0,23 | 0,03 | — | — |
| Московская область | — | — | — | — | — | — |
| Смоленская область | 3,77 | 1,86 | 2,86 | 2,97 | 3,42 | 5,57 |
| Тверская область | 5,75 | 5,18 | 2,10 | 1,85 | — | 2,24 |
| Тульская область | — | 0,15 | — | — | — | — |
| Ярославская область | 1,86 | 2,65 | 1,23 | 0,91 | 0,82 | 0,87 |
| Северо-Западный федеральный округ | 5,41 | 2,38 | 0,73 | 0,95 | 1,18 | 1,23 |
| Вологодская область | 4,26 | 1,71 | 0,62 | 0,84 | 1,04 | 0,95 |
| Калининградская область | — | — | — | — | — | — |
| Новгородская область | 1,15 | 0,51 | — | — | — | — |
| Псковская область | — | 0,16 | 0,11 | 0,11 | 0,14 | 0,28 |
| Приволжский федеральный округ | 7,28 | 10,04 | 5,20 | 6,79 | 5,63 | 8,55 |
| Республика Марий Эл | — | 0,19 | 0,09 | — | — | — |
| Республика Татарстан | 1,42 | 1,95 | 0,29 | 1,42 | 1,63 | — |
| Удмуртская Республика | 3,59 | 3,39 | 2,65 | 3,34 | 2,74 | 3,93 |
| Кировская область | 0,04 | 0,01 | 0,00 | — | 0,00 | — |
| Нижегородская область | 2,10 | 4,51 | 2,17 | 2,03 | 1,26 | 1,66 |
| Саратовская область | — | — | — | — | — | 0,11 |
| Уральский федеральный округ | 2,47 | 1,62 | — | — | — | — |
| Курганская область | 2,47 | 1,62 | — | — | — | — |
| Сибирский федеральный округ | 15,28 | 11,59 | 10,04 | 9,27 | 5,26 | — |
| Алтайский край | 4,57 | 4,87 | 3,63 | 3,66 | — | — |
| Иркутская область | — | — | — | — | — | 0,06 |
| Новосибирская область | 3,36 | 0,15 | 0,43 | 0,40 | 0,04 | 0,05 |
| Омская область | 6,18 | 6,15 | 5,67 | 4,96 | 3,95 | 2,52 |
| Томская область | 1,16 | 0,42 | 0,32 | 0,25 | — | — |
| Еврейская автономная область | — | — | — | — | — | 0,17 |
How to read this table
Comparing indicators across rows facilitates assessing the contribution of specific territories to the total harvest. The list provides data for the country, one of the key federal districts, and one region, enabling comparison of regional specifics with national trends. The dataset covers all types of farms, including large agribusinesses, farms, and private household plots
What is visible in these numbers
The largest value belongs to “Russian Federation” — 25.9; the smallest is “Kirov Region” at 0.002. The gap between them is 11,992-fold.
The table is 81% filled: Rosstat does not publish every cell, and the gaps are left as they are rather than interpolated.
The same indicator for other periods
More in the section Agriculture»
Period and application
Statistics are updated annually and cover the period from 2015 to 2024. Data in thousands of tonnes is useful for agronomists, textile raw material producers, and agricultural production planners
1) Данные не публикуются в целях обеспечения конфиденциальности первичных статистических данных, полученных от организаций и индивидуальных предпринимателей, в соответствии с Федеральным законом от 29.11.2007 No 282-ФЗ "Об официальном статистическом учете и системе государственной статистики в Российской Федерации" (п.5 ст.4, ч.1 ст.9).
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