Ru-Stat: Export and import of Russia by goods and countries.

Export and import of Russia by goods and countries


Trade between Moskva and Serbia


«Shearing machines, Numerically controlled»

«Machine tools (including presses) for working metal by forging, hammering or die-stamping; machine tools (including presses) for working metal by bending, folding, straightening, flattening, shearing, punching or notching; presses for working metal or metal carbides, not specified above / Shearing machines (including presses), other than combined punching and shearing machines, Numerically controlled»

HS code: 846231


«2013 - 2020»

The selection by country, direction, period, groups of goods
Country
Direction
Country
Period
Selection products


1. Consolidated information:

Trade between Moskva and Serbia goods from the group «Shearing machines, Numerically controlled» for the period 2013 - 2020 absent.
In the structure of trade turnover by country (goods from the group «Shearing machines, Numerically controlled») at the first place China (<hidden>%), in second place Turkey (<hidden>%).

2. Total results by years

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PeriodTotal
2013<hidden>
2014<hidden>
2015<hidden>
2016<hidden>
2017<hidden>
2018<hidden>
2019<hidden>
2020<hidden>
Total:<hidden>

3. Moskva's trade by product «Shearing machines, Numerically controlled» with other countries:

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Country∑ (2013-2020)Ratio
1China<hidden><hidden>%
2Turkey<hidden><hidden>%
3Italy<hidden><hidden>%
4Spain<hidden><hidden>%
5Germany<hidden><hidden>%
6Belgium<hidden><hidden>%
7Belarus<hidden><hidden>%
8Switzerland<hidden><hidden>%
9France<hidden><hidden>%
10Finland<hidden><hidden>%
11Netherlands<hidden><hidden>%
12Poland<hidden><hidden>%
13Portugal<hidden><hidden>%
14Taiwan<hidden><hidden>%
15Slovakia<hidden><hidden>%
16United States<hidden><hidden>%
17Thailand<hidden><hidden>%
18Bangladesh<hidden><hidden>%
19Uzbekistan<hidden><hidden>%
20Sweden<hidden><hidden>%
............
 The total for all countries:<hidden>100%

4. The trade turnover between Russia and Serbia the commodity «Shearing machines, Numerically controlled» by region:

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Region∑ (2013-2020)Ratio
1Krasnodarskiy kray<hidden><hidden>%
2Sankt-Peterburg<hidden><hidden>%
3Vologodskaya oblast<hidden><hidden>%
4Tyumenskaya oblast<hidden><hidden>%
 By all regions:<hidden>100%
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