«Nuclear reactors, boilers, machinery and mechanical appliances; parts thereof / Machines for preparing textile fibres; spinning, doubling or twisting machines and other machinery for producing textile yarns; textile reeling or winding (including weft-winding) machines and machines for preparing textile yarns for use on the machines of heading 8446 or 8447»
HS code: 8445
Country | |
Direction | |
Country | |
Period | |
Selection products |
Period | Total |
---|---|
2013 | <hidden> |
2014 | <hidden> |
2015 | <hidden> |
2016 | <hidden> |
2017 | <hidden> |
2018 | <hidden> |
2019 | <hidden> |
2020 | <hidden> |
Total: | <hidden> |
Period | Quantity, pc. |
---|---|
2013 | <hidden> |
2014 | <hidden> |
2015 | <hidden> |
2016 | <hidden> |
2017 | <hidden> |
2018 | <hidden> |
2019 | <hidden> |
2020 | <hidden> |
Total: | <hidden> |
Period | Weight, tons. |
---|---|
2013 | <hidden> |
2014 | <hidden> |
2015 | <hidden> |
2016 | <hidden> |
2017 | <hidden> |
2018 | <hidden> |
2019 | <hidden> |
2020 | <hidden> |
Total: | <hidden> |
Group product | 2013 | 2020 | Ch. | ∑ (2013-2020) | Ratio |
---|---|---|---|---|---|
16 844511: Machines for preparing textile fibres, Carding machines | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 844512: Machines for preparing textile fibres, Combing machines | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 844513: Machines for preparing textile fibres, Drawing or roving machines | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 844519: Machines for preparing textile fibres, Other | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 844520: Textile spinning machines | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 844530: Textile doubling or twisting machines | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 844540: Textile winding or reeling machines | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 844590: Other | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
Total: | <hidden> | <hidden> | <hidden> |
№ | Country | ∑ (2013-2020) | Ratio |
---|---|---|---|
1 | Italy | <hidden> | <hidden>% |
2 | Germany | <hidden> | <hidden>% |
3 | China | <hidden> | <hidden>% |
4 | Japan | <hidden> | <hidden>% |
5 | France | <hidden> | <hidden>% |
6 | India | <hidden> | <hidden>% |
7 | Spain | <hidden> | <hidden>% |
8 | Switzerland | <hidden> | <hidden>% |
9 | Denmark | <hidden> | <hidden>% |
10 | Turkey | <hidden> | <hidden>% |
11 | Belgium | <hidden> | <hidden>% |
12 | Austria | <hidden> | <hidden>% |
13 | Belarus | <hidden> | <hidden>% |
14 | Iran | <hidden> | <hidden>% |
15 | Czech Republic | <hidden> | <hidden>% |
16 | Pakistan | <hidden> | <hidden>% |
17 | Uzbekistan | <hidden> | <hidden>% |
18 | South Korea | <hidden> | <hidden>% |
19 | Taiwan | <hidden> | <hidden>% |
20 | Lithuania | <hidden> | <hidden>% |
... | ... | ... | ... |
The total for all countries: | <hidden> | 100% |
№ | Region | ∑ (2013-2020) | Ratio |
---|---|---|---|
1 | Chelyabinskaya oblast | <hidden> | <hidden>% |
2 | Yaroslavskaya oblast | <hidden> | <hidden>% |
3 | Altayskiy kray | <hidden> | <hidden>% |
4 | Orenburgskaya oblast | <hidden> | <hidden>% |
5 | Tyumenskaya oblast | <hidden> | <hidden>% |
6 | Moskva | <hidden> | <hidden>% |
By all regions: | <hidden> | 100% |