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Overview This page contains the latest international trade data for SIBERIAN FEDERAL DISTRICT. In January 2022 SIBERIAN FEDERAL DISTRICT was the number 3 in total exports and the number 5 in total imports in Russia.

Exports In 2021, Russia's Siberian Federal District exported $4.01B, making it the 3rd largest exporter out of the 8 exporters in Russia. In 2021 the top exports of Siberian Federal District were Bituminous coal, not agglomerated ($11.5B), Aluminium unwrought, not alloyed ($5.64B), Aluminium unwrought, alloyed ($4.72B), Petroleum oils, oils from bituminous minerals,... ($2.4B), and Anthracite, not agglomerated ($1.72B).

Imports In 2021, Russia's Siberian Federal District imported $849M, making it the 5th largest importer out of the 8 importers in Russia. In 2021 top imports of Siberian Federal District were Aluminium oxide, except artificial corundum ($1.53B), Commodities not specified according to kind ($1.23B), Copper mattes: cement copper (precipitated copper) ($361M), Turbo-jet engines of a thrust >... ($281M), and Machinery for treatment by temperature change... ($227M).

Economic Complexity In 2021, the highest complexity exports of Siberian Federal District according to the product complexity index (PCI) are Nuclear Reactors (0.78), Cathode Tubes (0.77), Soil Preparation Machinery (0.7), Carbon-based Electronics (0.68), Railway Track Fixtures (0.67), Iron Railway Products (0.58), Rapeseed Oil (0.29), Chocolate (0.26), Carbon (0.2), and Particle Board (0.17). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.

Historical Data

Yearly Exports

Color
Depth
Top Destination (2021)China$9.25B
Top Product (2021)Bituminous coal, not agglomerated$11.5B

In 2021 the top export destinations of Siberian Federal District were China ($9.25B), Japan ($3.17B), Netherlands ($2.99B), Turkey ($2.96B), and Chinese Taipei ($2.67B).

In 2021 the top exports of Siberian Federal District were Bituminous coal, not agglomerated ($11.5B), Aluminium unwrought, not alloyed ($5.64B), Aluminium unwrought, alloyed ($4.72B), Petroleum oils, oils from bituminous minerals,... ($2.4B), and Anthracite, not agglomerated ($1.72B).

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Exports (2021)
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Destinations (2021)
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Exports Dynamics

Fastest Growing Exports Destination (Jan 2021 - Jan 2022)
Netherlands $818M (1.1k%)
Germany $265M (632%)
China $156M (29.5%)
Rapidly Declining Export Origins (Jan 2021 - Jan 2022)
Chinese Taipei -$33.7M (-23.8%)
Turkey -$18.2M (-12%)
Hong Kong -$10.8M (-88%)

Export Destinations of SIBERIAN FEDERAL DISTRICT (Jan 2021 - Jan 2022)

Yearly Imports

Color
Depth
Top Origin (2021)China$2.8B

In 2021 the top import origins of Siberian Federal District were China ($2.8B), United States ($1.22B), Kazakhstan ($842M), France ($750M), and Ukraine ($716M).

In 2021 the top imports of Siberian Federal District were Aluminium oxide, except artificial corundum ($1.53B), Commodities not specified according to kind ($1.23B), Copper mattes: cement copper (precipitated copper) ($361M), Turbo-jet engines of a thrust >... ($281M), and Machinery for treatment by temperature change... ($227M).

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Imports (2021)
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Origins (2021)
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Imports Dynamics

Fastest Growing Import Origins (Jan 2021 - Jan 2022)
China $89.9M (54.6%)
France $76.5M (1.24k%)
Ukraine $33.9M (78.1%)
Rapidly Declining Import Origins (Jan 2021 - Jan 2022)
Finland -$27.4M (-65.4%)
Belarus -$15.1M (-52.5%)
Thailand -$6.53M (-62.2%)

Import Origins of SIBERIAN FEDERAL DISTRICT (Jan 2021 - Jan 2022)

Economic Complexity

Economic Complexity of Siberian Federal District

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Economic Complexity (2021)-0.43

Siberian Federal District ranks 6th out of the 8 districts in Russia according to ECI.

The Economic Complexity Index, or ECI, is a measure of an economyā€™s capacity which can be inferred from data connecting locations to the activities that are present in them. For more info about Economic Complexity, visit the Economic Complexity page.

Estimated using exports data.

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ECI comparison Russia between districts (2021)

Economic Complexity Ranking

Value

The economic complexity of a territory can change year to year. Siberian Federal District it is in position 6th considering its ECI in the last year.

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ECI Rank by District

Export Opportunities by Relatedness

The top export opportunities according to the relatedness level, without considering those products were Siberian Federal District already has a comparative advantage, are led by Iron Ore (0.13), Petroleum Gas (0.12), Sulphur (0.12), Soybeans (0.12), and Pig Iron (0.12).

Most Complex Products by PCI

The highest complexity exports of Siberian Federal District according to the product complexity index (PCI) are Nuclear Reactors (0.78), Cathode Tubes (0.77), Soil Preparation Machinery (0.7), Carbon-based Electronics (0.68), Railway Track Fixtures (0.67), Iron Railway Products (0.58), Rapeseed Oil (0.29), Chocolate (0.26), Carbon (0.2), and Particle Board (0.17). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.

Most Specialized Products by RCA Index

The most specialized products according to the RCA index are led by Raw Aluminium (65.47), Linseed (48.26), Coal Briquettes (35.24), Nuclear Reactors (29.42), and Aluminium Wire (26.88).

Product Space

The product space is a network connecting products that are likely to be co-exported. The product space can be used to predict future exports, since Siberian Federal District is more likely to start exporting products that are related to current exports. Relatedness measures the distance between a product, and all of the products it is currently specialized in.

Relatedness Space

This network shows the products most related to the production structure of  Siberian Federal District. These are products that tend to be co-exported with the products that Siberian Federal District exports. Higher relatedness values ā€‹ā€‹indicate greater knowledge, which predicts a greater probability of exporting that product in the future.

Diversification Frontier

Depth
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The Complexity-Relatedness diagram compares the risk and the strategic value of a territory's potential export oppotunities. Relatedness is a predictive of the probability that a country increases its exports in a product. Complexity, is associated with higher levels of income, economic growth, less income inequality, and lower emissions. Bubble size corresponds to exports value by year 2020.

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