«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 | France | <hidden> | <hidden>% |
2 | China | <hidden> | <hidden>% |
3 | Poland | <hidden> | <hidden>% |
4 | Belarus | <hidden> | <hidden>% |
5 | Indonesia | <hidden> | <hidden>% |
6 | Japan | <hidden> | <hidden>% |
7 | Kazakhstan | <hidden> | <hidden>% |
8 | Uzbekistan | <hidden> | <hidden>% |
9 | Italy | <hidden> | <hidden>% |
10 | Germany | <hidden> | <hidden>% |
11 | Turkey | <hidden> | <hidden>% |
12 | Ukraine | <hidden> | <hidden>% |
13 | Azerbaijan | <hidden> | <hidden>% |
14 | Lithuania | <hidden> | <hidden>% |
15 | Vietnam | <hidden> | <hidden>% |
... | ... | ... | ... |
30 | United States | <hidden> | <hidden>% |
31 | Finland | <hidden> | <hidden>% |
32 | Portugal | <hidden> | <hidden>% |
33 | Georgia | <hidden> | <hidden>% |
34 | Netherlands | <hidden> | <hidden>% |
... | ... | ... | ... |
The total for all countries: | <hidden> | 100% |
№ | Region | ∑ (2013-2020) | Ratio |
---|---|---|---|
1 | Sverdlovskaya oblast | <hidden> | <hidden>% |
2 | Moskva | <hidden> | <hidden>% |
3 | Sankt-Peterburg | <hidden> | <hidden>% |
4 | Moskovskaya oblast | <hidden> | <hidden>% |
5 | Novgorodskaya oblast | <hidden> | <hidden>% |
6 | Samarskaya oblast | <hidden> | <hidden>% |
7 | Leningradskaya oblast | <hidden> | <hidden>% |
8 | Nijegorodskaya oblast | <hidden> | <hidden>% |
9 | Kalujskaya oblast | <hidden> | <hidden>% |
10 | Rostovskaya oblast | <hidden> | <hidden>% |
11 | Tatarstan | <hidden> | <hidden>% |
By all regions: | <hidden> | 100% |