«Nuclear reactors, boilers, machinery and mechanical appliances; parts thereof / Machinery (other than machines of heading 8450) for washing, cleaning, wringing, drying, ironing, pressing (including fusing presses), bleaching, dyeing, dressing, finishing, coating or impregnating textile yarns, fabrics or made-up textile articles and machines for applying the paste to the base fabric or other support used in the manufacture of floor coverings such as linoleum; machines for reeling, unreeling, fold»
HS code: 8451
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 845110: Dry-cleaning machines | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 845121: Drying machines, Each of a dry linen capacity <10 kg | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 845129: Drying machines, Other | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 845130: Ironing machines and presses | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 845140: Washing, bleaching or dyeing machines | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 845150: Machines for reeling, unreeling, folding, cutting or pinking textile fabrics | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 845180: Other machinery | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
16 845190: Parts | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
Total: | <hidden> | <hidden> | <hidden> |
№ | Country | ∑ (2013-2020) | Ratio |
---|---|---|---|
1 | Italy | <hidden> | <hidden>% |
2 | China | <hidden> | <hidden>% |
3 | Kazakhstan | <hidden> | <hidden>% |
4 | United States | <hidden> | <hidden>% |
5 | Turkey | <hidden> | <hidden>% |
6 | South Korea | <hidden> | <hidden>% |
7 | Sweden | <hidden> | <hidden>% |
8 | Belgium | <hidden> | <hidden>% |
9 | Germany | <hidden> | <hidden>% |
10 | Czech Republic | <hidden> | <hidden>% |
11 | Spain | <hidden> | <hidden>% |
12 | Denmark | <hidden> | <hidden>% |
13 | Austria | <hidden> | <hidden>% |
14 | Lebanon | <hidden> | <hidden>% |
15 | Poland | <hidden> | <hidden>% |
16 | Belarus | <hidden> | <hidden>% |
17 | Greece | <hidden> | <hidden>% |
18 | Uzbekistan | <hidden> | <hidden>% |
19 | Switzerland | <hidden> | <hidden>% |
20 | Japan | <hidden> | <hidden>% |
... | ... | ... | ... |
The total for all countries: | <hidden> | 100% |
№ | Region | ∑ (2013-2020) | Ratio |
---|---|---|---|
1 | Moskva | <hidden> | <hidden>% |
2 | Moskovskaya oblast | <hidden> | <hidden>% |
3 | Sankt-Peterburg | <hidden> | <hidden>% |
4 | Smolenskaya oblast | <hidden> | <hidden>% |
5 | Orlovskaya oblast | <hidden> | <hidden>% |
6 | Vologodskaya oblast | <hidden> | <hidden>% |
7 | Sverdlovskaya oblast | <hidden> | <hidden>% |
8 | Kaliningradskaya oblast | <hidden> | <hidden>% |
9 | Rostovskaya oblast | <hidden> | <hidden>% |
10 | Mariy El | <hidden> | <hidden>% |
11 | Sahalinskaya oblast | <hidden> | <hidden>% |
12 | Ivanovskaya oblast | <hidden> | <hidden>% |
13 | Samarskaya oblast | <hidden> | <hidden>% |
14 | Leningradskaya oblast | <hidden> | <hidden>% |
15 | Dagestan | <hidden> | <hidden>% |
16 | Chukotskiy AO | <hidden> | <hidden>% |
17 | Ulyanovskaya oblast | <hidden> | <hidden>% |
18 | Tatarstan | <hidden> | <hidden>% |
19 | Permskiy kray | <hidden> | <hidden>% |
20 | Vladimirskaya oblast | <hidden> | <hidden>% |
... | ... | ... | ... |
By all regions: | <hidden> | 100% |