Arkhangelsk Region

Federal subject in NORTH WEST FEDERAL DISTRICT, district of Russia

Exports (2019): $1.79B, Rnk 29/85

Top Destination (2019): $437M, Netherlands

Top Export (2019): $400M, Petroleum oils, oils from bituminous minerals,...

Imports (2019): $276M, Rnk 55/85

Top Origin (2019): $199M, United States

Top Import (2019): $195M, Commodities not specified according to kind

Economic Complexity (2019): -0.59, Rnk 53 / 85

Overview: This page contains the latest international trade data for ARKHANGELSK REGION, including export and import data.

Exports: In 2019, Russia's Arkhangelsk Region exported $1.79B, making it the 29th largest exporter out of the 85 exporters in Russia. In 2019 the top exports of Arkhangelsk Region were Petroleum oils, oils from bituminous minerals,... ($400M), Diamonds (jewellery) unworked or simply sawn,... ($272M), Wood; coniferous species, of fir (Abies... ($255M), Uncoated paper and paperboard (not 4801... ($85.2M), and Wood; coniferous species, of pine (Pinus... ($76.8M).

Imports: In 2019, Russia's Arkhangelsk Region imported $276M, making it the 55th largest importer out of the 85 importers in Russia. In 2019 top imports of Arkhangelsk Region were Commodities not specified according to kind ($195M), Sodium chlorate ($6.67M), Meat and edible offal: of fowls... ($4.57M), Parts of machines for making paper... ($3.99M), and Bovine cuts boneless, fresh or chilled ($3.25M).

Economic Complexity: In 2019, the highest complexity exports of Arkhangelsk Region according to the product complexity index (PCI) are Other Measuring Instruments (1.44), Oscilloscopes (1.21), Navigation Equipment (0.97), Lifting Machinery (0.96), and Uncoated Paper (0.72). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.

Yearly Exports

#permalink to section
Value
Depth
Year

Top Destination (2019): Netherlands, $437M

Top Product (2019): Petroleum oils, oils from bituminous minerals,..., $400M

In 2019 the top export destinations of Arkhangelsk Region were Netherlands ($437M), Belgium ($295M), China ($186M), India ($128M), and United Kingdom ($55M).

In 2019 the top exports of Arkhangelsk Region were Petroleum oils, oils from bituminous minerals,... ($400M), Diamonds (jewellery) unworked or simply sawn,... ($272M), Wood; coniferous species, of fir (Abies... ($255M), Uncoated paper and paperboard (not 4801... ($85.2M), and Wood; coniferous species, of pine (Pinus... ($76.8M).

Explore Visualizations

Export Dynamics

#permalink to section

Fastest Growing Exports Destination (June 2019 - June 2020)

Rapidly Declining Export Origins (June 2019 - June 2020)

Yearly Imports

#permalink to section
Value
Depth
Year

Top Origin (2019): United States, $199M

Top Import (2019): Commodities not specified according to kind, $195M

In 2019 the top import origins of Arkhangelsk Region were United States ($199M), Finland ($27.1M), Belarus ($12.9M), Germany ($8.78M), and Sweden ($3.96M).

In 2019 the top imports of Arkhangelsk Region were Commodities not specified according to kind ($195M), Sodium chlorate ($6.67M), Meat and edible offal: of fowls... ($4.57M), Parts of machines for making paper... ($3.99M), and Bovine cuts boneless, fresh or chilled ($3.25M).

Explore Visualizations

Import Dynamics

#permalink to section

Fastest Growing Import Origins (June 2019 - June 2020)

Rapidly Declining Import Origins (June 2019 - June 2020)

Comparison in Time

#permalink to section
Flow
Value

This section shows differences between total trade from ARKHANGELSK REGION throughout time.

This section shows forecasts for total exports and imports from ARKHANGELSK REGION. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.

Explore Forecasts

Economic Complexity

#permalink to section

Economic Complexity of Russia

#permalink to section

Arkhangelsk Region ranks 53rd out of the 85 federal subjects in Russia according to ECI.

Estimated using exports data.

Discover Economic Complexity

Export Opportunities by Relatedness

#permalink to section

The top export opportunities according to the relatedness level, without considering those products were Arkhangelsk Region already has a comparative advantage, are led by Veneer Sheets (0.041), Wood Carpentry (0.038), Coal Briquettes (0.035), Refined Petroleum (0.035), and Crustaceans (0.034).

Most Complex Products by PCI

#permalink to section

The highest complexity exports of Arkhangelsk Region according to the product complexity index (PCI) are Other Measuring Instruments (1.44), Oscilloscopes (1.21), Navigation Equipment (0.97), Lifting Machinery (0.96), and Uncoated Paper (0.72). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.

Most Specialized Products by RCA Index

#permalink to section

The most specialized products according to the RCA index are led by Sawn Wood (88.4), Other Uncoated Paper (77.3), Uncoated Kraft Paper (68.6), Fuel Wood (65.3), and Uncoated Paper (59.3).

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 Arkhangelsk Region 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

#permalink to section

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

Diversification Frontier

#permalink to section
Depth
Filter

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.