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

Export and import of Russia by goods and countries


Trade between Siberian Federal District and Lithuania


«Automatic data-processing machines and units thereof; magnetic or optical readers»

«Nuclear reactors, boilers, machinery and mechanical appliances; parts thereof / Automatic data-processing machines and units thereof; magnetic or optical readers, machines for transcribing data onto data media in coded form and machines for processing such data, not elsewhere specified or included»

HS code: 8471


«2013 - 2020»

The selection by country, direction, period, groups of goods
Country
Direction
Country
Period
Selection products
  1. All products
  2. Machinery and mechanical appliances; electrical equipment; sound and television
  3. Nuclear reactors, boilers, machinery and mechanical appliances; parts thereof
  4. Automatic data-processing machines and units thereof; magnetic or optical readers


1. Consolidated information:

Trade between Siberian Federal District and Lithuania goods from the group «Automatic data-processing machines and units thereof; magnetic or optical readers» for the period 2013 - 2020 amounted to <hidden>., total weight <hidden> tons and quantity <hidden> pc.
The main turnover occurred in «Other automatic data-processing machines, Other, presented in the form of systems» (<hidden>%).
In the structure of trade turnover by country (goods from the group «Automatic data-processing machines and units thereof; magnetic or optical readers») at the first place China (<hidden>%), in second place Belarus (<hidden>%). Lithuania for Russia is a partner number 56 with a share <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. Quantity, results by years

Graphics loading...
PeriodQuantity, pc.
2013<hidden>
2014<hidden>
2015<hidden>
2016<hidden>
2017<hidden>
2018<hidden>
2019<hidden>
2020<hidden>
Total:<hidden>

4. Weight, totals by years

Graphics loading...
PeriodWeight, tons.
2013<hidden>
2014<hidden>
2015<hidden>
2016<hidden>
2017<hidden>
2018<hidden>
2019<hidden>
2020<hidden>
Total:<hidden>

5. The structure of trade:

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Group product20132020Ch.∑ (2013-2020)Ratio
16 847130: Portable automatic data-processing machines, weighing not more than 10 kg<hidden><hidden><hidden>%<hidden><hidden>%
16 847141: Other automatic data-processing machines, With central processing unit<hidden><hidden><hidden>%<hidden><hidden>%
16 847149: Other automatic data-processing machines, Other, presented in the form of systems<hidden><hidden><hidden>%<hidden><hidden>%
16 847150: Processing units other than those of 847141, 847149<hidden><hidden><hidden>%<hidden><hidden>%
16 847160: Input or output units, whether or not containing storage units in the same housing<hidden><hidden><hidden>%<hidden><hidden>%
16 847170: Storage units<hidden><hidden><hidden>%<hidden><hidden>%
16 847180: Other units of automatic data-processing machines<hidden><hidden><hidden>%<hidden><hidden>%
16 847190: Other<hidden><hidden><hidden>%<hidden><hidden>%
Total:<hidden><hidden><hidden>

6. Siberian Federal District's trade by product «Automatic data-processing machines and units thereof; magnetic or optical readers» with other countries:

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№Country∑ (2013-2020)Ratio
1China<hidden><hidden>%
2Belarus<hidden><hidden>%
3United States<hidden><hidden>%
4Kazakhstan<hidden><hidden>%
5Myanmar [Burma]<hidden><hidden>%
6France<hidden><hidden>%
7Germany<hidden><hidden>%
8India<hidden><hidden>%
9Algeria<hidden><hidden>%
10Bangladesh<hidden><hidden>%
11United Kingdom<hidden><hidden>%
12Taiwan<hidden><hidden>%
13Kyrgyzstan<hidden><hidden>%
14Czech Republic<hidden><hidden>%
15Nicaragua<hidden><hidden>%
............
54Israel<hidden><hidden>%
55Venezuela<hidden><hidden>%
56Lithuania<hidden><hidden>%
57Norway<hidden><hidden>%
58Argentina<hidden><hidden>%
............
 The total for all countries:<hidden>100%

7. The trade turnover between Russia and Lithuania the commodity «Automatic data-processing machines and units thereof; magnetic or optical readers» by region:

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№Region∑ (2013-2020)Ratio
1Moskva<hidden><hidden>%
2Sankt-Peterburg<hidden><hidden>%
3Moskovskaya oblast<hidden><hidden>%
4Orenburgskaya oblast<hidden><hidden>%
5Sverdlovskaya oblast<hidden><hidden>%
6Kaliningradskaya oblast<hidden><hidden>%
7Chuvashiya<hidden><hidden>%
8Udmurtskaya respublika<hidden><hidden>%
9Volgogradskaya oblast<hidden><hidden>%
10Vologodskaya oblast<hidden><hidden>%
11Tyumenskaya oblast<hidden><hidden>%
12Smolenskaya oblast<hidden><hidden>%
13Chelyabinskaya oblast<hidden><hidden>%
14Penzenskaya oblast<hidden><hidden>%
15Kalujskaya oblast<hidden><hidden>%
16Krasnoyarskiy kray<hidden><hidden>%
17Rostovskaya oblast<hidden><hidden>%
18Tulskaya oblast<hidden><hidden>%
19Belgorodskaya oblast<hidden><hidden>%
20Kareliya<hidden><hidden>%
............
 By all regions:<hidden>100%
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