«Miscellaneous manufactured articles / Brooms, brushes (including brushes constituting parts of machines, appliances or vehicles), hand-operated mechanical floor sweepers, not motorised, mops and feather dusters; prepared knots and tufts for broom or brush making; paint pads and rollers; squeegees (other than roller squeegees)»
HS code: 9603
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 |
---|---|---|---|---|---|
20 960310: Brooms and brushes, consisting of twigs or other vegetable materials bound together | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
20 960321: Toothbrushes, hairbrushes, nail brushes and other toilet brushes, Toothbrushes | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
20 960329: Toothbrushes, hairbrushes, nail brushes and other toilet brushes, Other | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
20 960330: Artists' brushes, writing brushes and similar brushes for the application of cosmetics | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
20 960340: Paint, distemper, varnish or similar brushes ; paint pads and rollers | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
20 960350: Other brushes constituting parts of machines, appliances or vehicles | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
20 960390: Other | <hidden> | <hidden> | <hidden>% | <hidden> | <hidden>% |
Total: | <hidden> | <hidden> | <hidden> |
№ | Country | ∑ (2013-2020) | Ratio |
---|---|---|---|
1 | China | <hidden> | <hidden>% |
2 | Germany | <hidden> | <hidden>% |
3 | Italy | <hidden> | <hidden>% |
4 | Sweden | <hidden> | <hidden>% |
5 | Netherlands | <hidden> | <hidden>% |
6 | Belarus | <hidden> | <hidden>% |
7 | Japan | <hidden> | <hidden>% |
8 | Taiwan | <hidden> | <hidden>% |
9 | Poland | <hidden> | <hidden>% |
10 | Kazakhstan | <hidden> | <hidden>% |
11 | Vietnam | <hidden> | <hidden>% |
12 | Finland | <hidden> | <hidden>% |
13 | Serbia | <hidden> | <hidden>% |
14 | Spain | <hidden> | <hidden>% |
15 | United States | <hidden> | <hidden>% |
... | ... | ... | ... |
22 | Turkey | <hidden> | <hidden>% |
23 | Belgium | <hidden> | <hidden>% |
24 | Romania | <hidden> | <hidden>% |
25 | Hong Kong SAR China | <hidden> | <hidden>% |
26 | Denmark | <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 | Kalujskaya oblast | <hidden> | <hidden>% |
5 | Kirovskaya oblast | <hidden> | <hidden>% |
6 | Kaliningradskaya oblast | <hidden> | <hidden>% |
7 | Novosibirskaya oblast | <hidden> | <hidden>% |
8 | Nijegorodskaya oblast | <hidden> | <hidden>% |
9 | Sverdlovskaya oblast | <hidden> | <hidden>% |
10 | Leningradskaya oblast | <hidden> | <hidden>% |
11 | Chukotskiy AO | <hidden> | <hidden>% |
12 | Ulyanovskaya oblast | <hidden> | <hidden>% |
13 | Tyumenskaya oblast | <hidden> | <hidden>% |
14 | Tatarstan | <hidden> | <hidden>% |
15 | Sahalinskaya oblast | <hidden> | <hidden>% |
16 | Volgogradskaya oblast | <hidden> | <hidden>% |
17 | Samarskaya oblast | <hidden> | <hidden>% |
18 | Rostovskaya oblast | <hidden> | <hidden>% |
19 | Tomskaya oblast | <hidden> | <hidden>% |
20 | Adygeya | <hidden> | <hidden>% |
... | ... | ... | ... |
By all regions: | <hidden> | 100% |