Overview This page contains the latest international trade data for KALUGA REGION. In August 2021 KALUGA REGION was the number 40 in total exports and the number 5 in total imports.

Exports In 2020, undefined's Kaluga Region exported $975M, making it the 40th largest exporter out of the 85 exporters in undefined. In 2020 the top exports of Kaluga Region were N/A.

Imports In 2020, undefined's Kaluga Region imported $5.61B, making it the 5th largest importer out of the 85 importers in undefined. In 2020 top imports of Kaluga Region were N/A.

Economic Complexity In 2020, the highest complexity exports of Kaluga Region according to the product complexity index (PCI) are Spark-Ignition Engines (0.89), Antifreeze (0.41), Other Steel Bars (0.31), Household Washing Machines (0.29), and Semi-Finished Iron (-0.62). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.

Historical Data

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Yearly Exports

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Top Destination (2020): N/A, N/A

Top Product (2020): N/A, N/A

In 2020 the top export destinations of Kaluga Region were N/A.

In 2020 the top exports of Kaluga Region were N/A.

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Exports Dynamics

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Fastest Growing Exports Destination (Aug 2020 - Aug 2021)

Rapidly Declining Export Origins (Aug 2020 - Aug 2021)

Yearly Imports

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Top Origin (2020): Germany, $1.22B

Top Import (2020): N/A, N/A

In 2020 the top import origins of Kaluga Region were Germany ($1.22B), China ($1.08B), Czechia ($585M), Vietnam ($291M), and Slovakia ($261M).

In 2020 the top imports of Kaluga Region were N/A.

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Imports Dynamics

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Fastest Growing Import Origins (Aug 2020 - Aug 2021)

Rapidly Declining Import Origins (Aug 2020 - Aug 2021)

Economic Complexity

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Economic Complexity of N/A

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Economic Complexity (2020): 0.15

Kaluga Region ranks 7th out of the 85 N/A in undefined according to ECI.

The Economic Complexity Index, or ECI, is a measure of an economy’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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Export Opportunities by Relatedness

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The top export opportunities according to the relatedness level, without considering those products were Kaluga Region already has a comparative advantage, are led by Asphalt (0.13), Soil Preparation Machinery (0.13), Large Iron Containers (0.13), Railway Freight Cars (0.13), and Rock Wool (0.13).

Most Complex Products by PCI

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The highest complexity exports of Kaluga Region according to the product complexity index (PCI) are Spark-Ignition Engines (0.89), Antifreeze (0.41), Other Steel Bars (0.31), Household Washing Machines (0.29), and Semi-Finished Iron (-0.62). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.

Most Specialized Products by RCA Index

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The most specialized products according to the RCA index are led by Antifreeze (149.3), Other Steel Bars (82.2), Household Washing Machines (78.2), Semi-Finished Iron (77.6), and Hydraulic Brake Fluid (76.5).

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 Kaluga 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

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

Diversification Frontier

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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.